<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">NM</journal-id><journal-title-group><journal-title>Neuroscience and Medicine</journal-title></journal-title-group><issn pub-type="epub">2158-2912</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/nm.2019.103018</article-id><article-id pub-id-type="publisher-id">NM-95015</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prediction of Outcome in Patients with Guillain Barre Syndrome—An Egyptian Study
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>T.</surname><given-names>Alloush</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>N.</surname><given-names>A. Fahmy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M.</surname><given-names>M. Fouad</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>H.</surname><given-names>O. Albaroudy</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M.</surname><given-names>Hamdy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>H.</surname><given-names>H. Salem</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Neurology and Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt</addr-line></aff><aff id="aff2"><addr-line>Kobri Elkoba Military Hospital, Cairo, Egypt</addr-line></aff><pub-date pub-type="epub"><day>26</day><month>07</month><year>2019</year></pub-date><volume>10</volume><issue>03</issue><fpage>232</fpage><lpage>246</lpage><history><date date-type="received"><day>8,</day>	<month>July</month>	<year>2019</year></date><date date-type="rev-recd"><day>13,</day>	<month>September</month>	<year>2019</year>	</date><date date-type="accepted"><day>16,</day>	<month>September</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Study Objectives: Guillain-Barre syndrome (GBS) is an acute-onset, monophasic immune-mediated disorder of the peripheral nervous system that often follows an infection. The outcome and prognosis of GBS depend on many factors such as the etiology, clinical features, neurophysiology and immunological parameters. The aim of this study was to assess the factors (clinical, investigatory tools, and therapies) that may affect the outcome of patients with GBS. Patients and methods: this was an analytical observational study that was conducted at Ain Shams university hospitals and Kobri Elkoba Military Hospital including twenty patients with the diagnosis of Guillain Barre Syndrome in the duration from 2016 to 2018. This study included twenty patients with the diagnosis of GBS within two weeks from onset of neurologic symptoms, whom their diagnosis based on the established clinical criteria and verified by investigations. Patients were selected from both genders and aged from 18 to 65 years old. Nerve conduction studies and electromyography were performed within two weeks from admission. Various lines of treatment such as plasma exchange (PE), intravenous immunoglobulins (IVIG) or both were used during the period of admission in hospital. Outcome was assessed by the Hughes functional score (F-score), that was applied to the patients on admission, at end of 4 weeks from onset of neuropathy and at the end of 8 weeks. The final outcome at the end of 8 weeks was classified as follow: Group I: good prognosis (0 - 2) on the Hughes functional score (15 patients) and Group II: poor prognosis (3 - 6) on the Hughes functional score (5 patients). Results: the age of the study population ranged from 18 to 65 years with mean of 36.10 &#177; 16.08 years. Fifteen (75%) patients were males and 5 (25%) patients were females. There was no statistically significant difference found between poor and good prognosis regarding gender. The most common electrophysiological subtype was demyelinating followed by axonal neuropathy. Most patients (75%) had a good outcome at end of study period. It was found that the different line of treatment administered (plasma exchange or IVIG or both) was not associated with poor or good outcome. The patients who needed mechanical ventilation had significantly poor prognosis. Conclusion: the most common electrophysiological subtype was demyelinating followed by axonal neuropathy. Ascending pattern of weakness was more common than descending pattern in this study population and was not related to prognosis. High Hughes score at admission was associated with poor outcome at 8 weeks.
 
</p></abstract><kwd-group><kwd>Guillain-Barre Syndrome (GBS)</kwd><kwd> Nerve Conduction Studies and Electromyography</kwd><kwd> Demyelinating and Axonal Neuropathy</kwd><kwd> Hughes Functional Score (F-Score)</kwd><kwd> Plasma Exchange</kwd><kwd> IVIG</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Guillain Barr&#233; syndrome (GBS) is an acute postinfectious immune mediated peripheral neuropathy characterized by rapidly progressive weakness and sensory loss, usually followed by slow clinical recovery [<xref ref-type="bibr" rid="scirp.95015-ref1">1</xref>] . The progressive phase peaks in 7 to 14 days and can lead to various levels of weakness, from abnormal gait to total paralysis, cranial nerve weakness, pain, respiratory compromise, and autonomic instability. The reported incidence rates for GBS are 1 to 2 in 100,000. GBS is equally common in men and women and can occur at any age [<xref ref-type="bibr" rid="scirp.95015-ref2">2</xref>] . The etiopathogenesis of GBS has been hypothesized to involve a direct immune-mediated mechanism against the peripheral nerves components, including the myelin sheath and the axon [<xref ref-type="bibr" rid="scirp.95015-ref3">3</xref>] . Fifty to seventy percent of the cases are preceded by respiratory or gastrointestinal infectious episodes either bacterial or viral, less likely by vaccination. The strongest relationship is with infection by Camplylobacter jejuni and Mycoplasma pneumoniae [<xref ref-type="bibr" rid="scirp.95015-ref4">4</xref>] . Advances in general care facilities and the availability of specific treatments have improved the outcome of patients with GBS. The type of preceding infection and patient-related host factors seem to determine the form and severity of the disease. Electrodiagnostic study is very important in the diagnosis of GBS, with clinical, biological or biochemical criteria [<xref ref-type="bibr" rid="scirp.95015-ref5">5</xref>] . As GBS is an autoimmune disease the goal of immunotherapy is to limit the damage to the nerves and myelin, thereby enhancing the ability of the peripheral nerves to survive and regenerate. Plasma exchange (PE) and intravenous immunoglobulins (IVIG) are effective immunotherapy for adult and pediatric patients with GBS if given during the first few weeks of disease [<xref ref-type="bibr" rid="scirp.95015-ref6">6</xref>] .</p></sec><sec id="s2"><title>2. Subject and Methods</title><p>This is an analytical observational study that was conducted at Ain Shams university hospitals and Kobri Elkoba Military Hospital including twenty patients with the diagnosis of GBS in the duration from May 2016 to December 2018 after the patients or their relatives signed an informed consent. Inclusion criteria included patients from both genders aged from 16 to 70 years old who were diagnosed as GBS within two weeks from onset of neurologic symptoms, depending on the history, clinical examination and investigatory tools.</p><p>Exclusion criteria included patients with other causes of polyneuropathy such asdiabetic, uremic, hypothyroidism, drug-related neuropathy, para neoplastic neuropathy or hereditary neuropathy.</p><p>All patients were subjected to the following; a full medical, neurological history and the history of any antecedent events occurring during the few weeks before the onset of neurologic symptoms. Full Neurological examination at the time of presentation and laboratory investigations; Random blood sugar, Complete blood picture, Serum urea, Serum creatinine, Serum electrolytes (sodium, potassium, calcium), Liver function tests, Erythrocyte sedimentation rate, and C-reactive protein (quantitative). Nerve conduction studies and electromyography were performed within two weeks from admission. Motor and sensory nerve conduction studies (NCS) and F wave response were done for the median and ulnar nerves in both upper limbs, posterior tibial and common peroneal in both lower limbs and sensory conduction for sural nerve. Electromyography (EMG) study was done for motor units to the abductor pollicus brevis, deltoid and triceps muscles in upper limbs, and tibialis anterior and gastrocnemius in the lower limbs. Various lines of treatment such as PE, IVIG or both were received during the period of admission in hospital. Outcome was assessed by the Hughes functional score (F-score), that applied to the patients on admission, at end of 4 weeks from onset of neuropathy and at the end of 8 weeks for follow up and to assess outcome [<xref ref-type="bibr" rid="scirp.95015-ref7">7</xref>] . Hughes functional grading scale consists of Grade 6: dead, Grade 5: requires assisted respiration, Grade 4: bed bound, Grade 3: able to walk 5 meters with aid, Grade 2: ambulates independently, Grade 1: minimal signs and symptoms, able to run and grade 0: normal. Experimental procedures were previously approved by the Ethical Committee for Human Research at the faculty of medicine Ain Shams University.</p>Statistical Analysis<p>All data collected were tabled and statistically analyzed by Microsoft Office 2003 (excel) and Statistical Package for Social Science (SPSS) version 16. Parametric data were expressed as mean &#177; SD, and non-parametric data were expressed as number and percentage of the total. Comparing the mean &#177; SD of 2 groups was done using the paired student’s t-test. P value &lt; 0.05 is considered significant.</p></sec><sec id="s3"><title>3. Results</title><p>The prognosis of patients after 8 weeks of from onset of symptoms was classified as good or favorable prognosis (Hughes score &lt; 3) in 15 patients (75.0%) of the study population and poor or unfavorable prognosis (Hughes score ≥ 3) in 5 patients (25.0%).</p><p>The age of the study population ranged from 18 to 65 years with mean of 36.10 &#177; 16.08 years. 15 patients (75%) were males and 5 patients (25%) were females (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>As regards the clinical characteristics of the study population, 16 patients (80.0%) had preceding respiratory tract infection, 3 patients (15.0%) had preceding gastrointestinal tract infection and 1 patient (5.0%) had preceding both respiratory and gastrointestinal tracts infection (<xref ref-type="table" rid="table2">Table 2</xref>). The Pattern of weakness was ascending in 16 patients (80.0%) and descending in 4 patients (20.0%). The first symptoms were motor symptoms in 3 patients (15.0%), sensory symptoms in 5 patients (25.0%) and mixed motor and sensory symptoms in 12 patients (60.0%). Then all of the patients developed motor symptoms, 17 patients (85.0%) developed sensory symptoms while 4 patients (20.0%) developed autonomic symptoms (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic data of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Total No. = 20</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >15 (75.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Age</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >36.10 &#177; 16.08</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >18 - 65</td></tr><tr><td align="center" valign="middle" >16 - 39</td><td align="center" valign="middle" >12 (60.0%)</td></tr><tr><td align="center" valign="middle" >40 - 59</td><td align="center" valign="middle" >4 (20.0%)</td></tr><tr><td align="center" valign="middle" >60 - 70</td><td align="center" valign="middle" >4 (20.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Clinical data of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >No. (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Infection preceding illness</td><td align="center" valign="middle" >RTI</td><td align="center" valign="middle" >16 (80.0%)</td></tr><tr><td align="center" valign="middle" >GE</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >GE and RTI</td><td align="center" valign="middle" >1 (5.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Pattern of weakness</td><td align="center" valign="middle" >Ascending</td><td align="center" valign="middle" >16 (80.0%)</td></tr><tr><td align="center" valign="middle" >Descending</td><td align="center" valign="middle" >4 (20.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >First symptom</td><td align="center" valign="middle" >Sensory</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Motor</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Motor and sensory</td><td align="center" valign="middle" >12 (60.0%)</td></tr></tbody></table></table-wrap><p>RTI; respiratory tract infection, GE; gastroenteritis.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Clinical features of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Symptoms</th><th align="center" valign="middle" >Total No. = 20</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Sensory</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >17 (85.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Motor</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >20 (100.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Autonomic</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >16 (80.0%)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4 (20.0%)</td></tr></tbody></table></table-wrap><p>The duration between the preceding infection and onset of symptoms ranged from 6 to 15 days with mean 9.35 &#177; 2.35 days. The duration between the onset of first symptoms and starting the treatment ranged from 2 to 12 days with mean of 5.15 &#177; 2.89 days. The total duration of admission to hospital ranged from 1 to 14 weeks with mean 4.30 &#177; 2.52 weeks. This duration was less than 4 weeks in 15 patients (75.0%) and more than 4 weeks in 5patients (25.0%). Only 4 patients (20.0%) needed mechanical ventilation and among those patients the duration lapsed between the first symptoms and mechanical ventilation ranged from 2 to 11 days with median (IQR) 3.00 (2.5 - 7). This duration was less than 3 days in 3 patients (75.0%) from ventilated patients and 3 or more days in one patient (25.0%) from ventilated patients (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>As regards the data of NCS and EMG, 3 patients (15.0%) had evidence of axonal motor neuropathy, 5 patients (25.0%) had evidence of demyelinating motor and sensory neuropathy while 12 (60.0%) had evidence of mixed demyelinating and axonal motor neuropathy. All of the patients had abnormal F-wave (<xref ref-type="table" rid="table5">Table 5</xref>).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Onset, course and duration of the disease in the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Total No. = 20</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >Time between infection and illness (days)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >9.35 &#177; 2.35</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >6 - 15</td></tr><tr><td align="center" valign="middle" >&lt;7 day</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >≥7 day</td><td align="center" valign="middle" >15 (75.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Time starting medication from onset of first symptoms (days)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >5.15 &#177; 2.89</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >2 - 12</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Duration stay in hospital (weeks)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >4.30 &#177; 2.52</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >1 - 14</td></tr><tr><td align="center" valign="middle" >&lt;4 weeks</td><td align="center" valign="middle" >15 (75.0%)</td></tr><tr><td align="center" valign="middle" >≥4 weeks</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Mechanical ventilation</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >16 (80.0%)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4 (20.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Time between first symptom and mechanical ventilation (days)</td><td align="center" valign="middle" >Median (IQR)</td><td align="center" valign="middle" >3.00 (2.5 - 7)</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >2 - 11</td></tr><tr><td align="center" valign="middle" >&lt;3</td><td align="center" valign="middle" >3 (75.0%)</td></tr><tr><td align="center" valign="middle" >≥3</td><td align="center" valign="middle" >1 (25.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> NCV and EMG of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >No. (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >NCV and EMG</td><td align="center" valign="middle" >Demyelinating motor and sensory</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Axonal motor neuropathy</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >12 (60.0%)</td></tr><tr><td align="center" valign="middle" >F-wave</td><td align="center" valign="middle" >Abnormal</td><td align="center" valign="middle" >20 (100.0%)</td></tr></tbody></table></table-wrap><p>As regards Hughes scale of the studied population, on presentation one patient (5.0%) was Grade 1, 2 patients (10.0%) was Grade 2, 6 patients (30.0%) was Grade 3, 8 patients (40.0%) was Grade 4 and 3 patients (15.0%) was grade 5. After 4 weeks from onset of symptoms 3 patients (15.0%) was Grade 1, 8 patients (40.0%) was Grade 2, 5 patients (25.0%) was Grade 3, 3 patients (15.0%) was Grade 4 and one patient (5.0%) was Grade 6. After 8 weeks from onset of symptoms 5 patients (25.0%) was grade 0, 8 patients (40.0%) was Grade 1, 2 patients (10.0%) was grade 2, 3 patients (15.0%) was Grade 3, one patient (5.0%) was grade 4 and one patient (5.0%) was grade 6 (<xref ref-type="table" rid="table6">Table 6</xref>).</p><p>As regards the treatments received during period of admission, 10 patients (50.0%) received plasma exchange sessions, 4 patients (20.0%) received IVIG only and 6 patients (30.0%) received plasma exchange session then followed by IVIG due to unsatisfactory response after sessions. The sessions of PE ranged from 3 to 9 sessions with mean of 5.44 &#177; 1.55 sessions. 11 patients (68.8%) received less than 5 plasma exchange sessions while 5 patients (31.3%) received 5 or more sessions (<xref ref-type="table" rid="table7">Table 7</xref>).</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Hughes scale of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Grade</th><th align="center" valign="middle" >No. (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >Hughes scale at presentation</td><td align="center" valign="middle" >Grade 1</td><td align="center" valign="middle" >1 (5.0%)</td></tr><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >2 (10.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >6 (30.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >8 (40.0%)</td></tr><tr><td align="center" valign="middle" >Grade 5</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Hughes scale at 4 weeks</td><td align="center" valign="middle" >Grade 1</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >8 (40.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Grade 6</td><td align="center" valign="middle" >1 (5.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Hughes scale at 8 weeks</td><td align="center" valign="middle" >Grade 0</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Grade 1</td><td align="center" valign="middle" >8 (40.0%)</td></tr><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >2 (10.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >3 (15.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >1 (5.0%)</td></tr><tr><td align="center" valign="middle" >Grade 6</td><td align="center" valign="middle" >1 (5.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Treatment of studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Total No. = 20</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Mode or treatment</td><td align="center" valign="middle" >PE</td><td align="center" valign="middle" >10 (50.0%)</td></tr><tr><td align="center" valign="middle" >IVIG</td><td align="center" valign="middle" >4 (20.0%)</td></tr><tr><td align="center" valign="middle" >PE and IVIG</td><td align="center" valign="middle" >6 (30.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Sessions of PE</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >5.44 &#177; 1.55</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >3 - 9</td></tr><tr><td align="center" valign="middle" >&lt;5 sessions</td><td align="center" valign="middle" >11 (68.8%)</td></tr><tr><td align="center" valign="middle" >≥5 sessions</td><td align="center" valign="middle" >5 (31.3%)</td></tr></tbody></table></table-wrap><p>The prognosis of patients after 8 weeks of from onset of symptoms was classified as group I; good or favorable prognosis (Hughes score &lt; 3) in 15 patients (75.0%) of the study population and group II; poor or unfavorable prognosis (Hughes score ≥ 3) in 5 patients (25.0%) (<xref ref-type="table" rid="table8">Table 8</xref>).</p><p>There was no statistically significant difference found between both groups regarding gender and age of the study population. But it was noticed that patients with age ranging from 16 to 39 years showed significantly good or favorable prognosis compared to those with age ranging from 40 - 59 or ≥60 years (<xref ref-type="table" rid="table9">Table 9</xref>).</p><p>There was no significant difference between both groups regarding infection preceding illness, the pattern of weakness either ascending or descending and the nature of first symptoms (<xref ref-type="table" rid="table1">Table 1</xref>0).</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Prognosis of the studied cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Prognosis</th><th align="center" valign="middle" >Total No. = 20</th></tr></thead><tr><td align="center" valign="middle" >Group I (good) (Hughes score &lt; 3)</td><td align="center" valign="middle" >15 (75.0%)</td></tr><tr><td align="center" valign="middle" >Group II (poor) (Hughes score ≥ 3)</td><td align="center" valign="middle" >5 (25.0%)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >20 (100%)</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Comparison between two groups for prognosis regarding demographic data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. = 15</td><td align="center" valign="middle" >No. = 5</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >5 (33.3%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="2"  >2.222</td><td align="center" valign="middle"  rowspan="2"  >0.136</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >10 (66.7%)</td><td align="center" valign="middle" >5 (100.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Age</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >33.93 &#177; 15.92</td><td align="center" valign="middle" >42.60 &#177; 16.47</td><td align="center" valign="middle"  rowspan="2"  >1.046</td><td align="center" valign="middle"  rowspan="2"  >0.309</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >18 - 65 - 3</td><td align="center" valign="middle" >19 - 65</td></tr><tr><td align="center" valign="middle" >16 - 39</td><td align="center" valign="middle" >11 (73.3%)</td><td align="center" valign="middle" >1 (20.0%)</td><td align="center" valign="middle"  rowspan="3"  >7.111</td><td align="center" valign="middle"  rowspan="3"  >0.029</td><td align="center" valign="middle"  rowspan="3"  >S</td></tr><tr><td align="center" valign="middle" >40 - 59</td><td align="center" valign="middle" >1 (6.7%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle" >≥60</td><td align="center" valign="middle" >3 (20.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> Comparison between both groups regarding clinical data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. (%)</td><td align="center" valign="middle" >No. (%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Infection preceding illness</td><td align="center" valign="middle" >RTI</td><td align="center" valign="middle" >13 (86.7%)</td><td align="center" valign="middle" >3 (60.0%)</td><td align="center" valign="middle"  rowspan="3"  >3.444</td><td align="center" valign="middle"  rowspan="3"  >0.179</td><td align="center" valign="middle"  rowspan="3"  >NS</td></tr><tr><td align="center" valign="middle" >GE</td><td align="center" valign="middle" >1 (6.7%)</td><td align="center" valign="middle" >2 (40.0%)</td></tr><tr><td align="center" valign="middle" >GE and RTI</td><td align="center" valign="middle" >1 (6.7%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Pattern of weakness</td><td align="center" valign="middle" >Ascending</td><td align="center" valign="middle" >12 (80.0%)</td><td align="center" valign="middle" >4 (80.0%)</td><td align="center" valign="middle"  rowspan="2"  >1.852</td><td align="center" valign="middle"  rowspan="2"  >0.172</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Descending</td><td align="center" valign="middle" >3 (20.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >First symptom</td><td align="center" valign="middle" >Sensory</td><td align="center" valign="middle" >5 (33.3%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="3"  >2.222</td><td align="center" valign="middle"  rowspan="3"  >0.329</td><td align="center" valign="middle"  rowspan="3"  >NS</td></tr><tr><td align="center" valign="middle" >Motor</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle" >Motor and sensory</td><td align="center" valign="middle" >8 (53.3%)</td><td align="center" valign="middle" >4 (80.0%)</td></tr></tbody></table></table-wrap><p>There was no significant difference between both groups regarding Sensory symptoms and autonomic symptoms. All of the patients of good and poor prognosis had motor symptoms (<xref ref-type="table" rid="table1">Table 1</xref>1).</p><p>The comparison between both groups showed that the patients who needed mechanical ventilation had significantly poor prognosis; among 4 patients who needed mechanical ventilation, 3 patients had poor prognosis and among 5 patients with poor prognosis, 3 (60.0%) of them were mechanically ventilated, while among 15 patients with good prognosis, 14 (93.3%) of them did not need mechanical ventilation. For those who needed mechanical ventilation, 3 patients were mechanically ventilated within the first two days from the onset of first symptoms and these patients had significantly poor prognosis, while one patient only was mechanically ventilated after 2 days from onset of symptoms and this patient had good prognosis. Also patients who started treatment earlier tended to have significant good prognosis; the duration between the onset of first symptoms and starting the treatment ranged from 2 to 5 days with mean 2.80 &#177; 1.30 days among patients with good prognosis while it ranged from 2 to 12 days with mean of 5.93 &#177; 2.87 days among patients with poor prognosis. Also patients who stayed at hospital during treatment for less than 4 weeks had significant good prognosis; among 15 patients with good prognosis, 13 (86.7%) of them stayed at hospital for less than 4 weeks while among 5 patients with poor prognosis, 3 (60.0%) of them stayed at hospital 4 weeks or more. There was no significant difference between patients with good and poor prognosis as regarding duration between preceding infection and illness (<xref ref-type="table" rid="table1">Table 1</xref>2).</p><p>There was no significant difference between patients with good and poor prognosis as regarding NCS and EMG findings (<xref ref-type="table" rid="table1">Table 1</xref>3).</p><p>The comparison between the two groups as regards Hughes scale done at presentation showed that group II patients had significantly higher scores as all of them had either Grade 4 or Grade 5, while group I patients had variable scores ranging from grade 1 to grade 4 and none had Grade 5 score. As regards Hughes scale done at 4 weeks from onset of symptoms, group I patients had score ranging from 1 to 3 while those of group II had scores ranging from 3 to 6 (<xref ref-type="table" rid="table1">Table 1</xref>4).</p><p>Regarding modes of treatment and number of sessions of plasma exchange there was no statistically significant differences between both groups (<xref ref-type="table" rid="table1">Table 1</xref>5).</p><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> Comparison between both groups regarding symptoms</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Symptoms</th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. =15</td><td align="center" valign="middle" >No. = 5</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sensory</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >1 (10.0%)</td><td align="center" valign="middle"  rowspan="2"  >0.131</td><td align="center" valign="middle"  rowspan="2"  >0.718</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >13 (86.7%)</td><td align="center" valign="middle" >4 (80.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Motor</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="2"  >-</td><td align="center" valign="middle"  rowspan="2"  >-</td><td align="center" valign="middle"  rowspan="2"  >-</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >15 (100.0%)</td><td align="center" valign="middle" >5 (100.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Autonomic</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >13 (86.7%)</td><td align="center" valign="middle" >3 (60.0%)</td><td align="center" valign="middle"  rowspan="2"  >1.667</td><td align="center" valign="middle"  rowspan="2"  >0.197</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >2 (40.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table12" ><label><xref ref-type="table" rid="table1">Table 1</xref>2</label><caption><title> Comparison between both groups regarding clinical data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. = 15</td><td align="center" valign="middle" >No. = 5</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Time between infection and illness (days)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >9.60 &#177; 1.67</td><td align="center" valign="middle" >9.27 &#177; 2.58</td><td align="center" valign="middle"  rowspan="2"  >0.268</td><td align="center" valign="middle"  rowspan="2"  >0.791</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >6 - 15</td><td align="center" valign="middle" >8 - 12</td></tr><tr><td align="center" valign="middle" >&lt;7 day</td><td align="center" valign="middle" >5 (33.3%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="2"  >2.222</td><td align="center" valign="middle"  rowspan="2"  >0.136</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >≥7 day</td><td align="center" valign="middle" >10 (66.7%)</td><td align="center" valign="middle" >(100.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Time starting medication from onset of first symptoms (days)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >2.80 &#177; 1.30</td><td align="center" valign="middle" >5.93 &#177; 2.872</td><td align="center" valign="middle"  rowspan="2"  >−2.333</td><td align="center" valign="middle"  rowspan="2"  >0.031</td><td align="center" valign="middle"  rowspan="2"  >S</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >2 - 5</td><td align="center" valign="middle" >2 - 12</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Duration stay in hospital (weeks)</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >3.73 &#177; 0.70</td><td align="center" valign="middle" >6.00 &#177; 4.85</td><td align="center" valign="middle"  rowspan="2"  >1.854</td><td align="center" valign="middle"  rowspan="2"  >0.080</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >3 - 5</td><td align="center" valign="middle" >1 - 14</td></tr><tr><td align="center" valign="middle" >&lt;4 weeks</td><td align="center" valign="middle" >13 (86.7%)</td><td align="center" valign="middle" >2 (40.0%)</td><td align="center" valign="middle"  rowspan="2"  >4.356</td><td align="center" valign="middle"  rowspan="2"  >0.037</td><td align="center" valign="middle"  rowspan="2"  >S</td></tr><tr><td align="center" valign="middle" >≥4 weeks</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Mechanical ventilation</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >14 (93.3%)</td><td align="center" valign="middle" >2 (40.0%)</td><td align="center" valign="middle"  rowspan="2"  >6.667</td><td align="center" valign="middle"  rowspan="2"  >0.010</td><td align="center" valign="middle"  rowspan="2"  >S</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >1 (6.7%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Time between first symptom and mechanical ventilation (days)</td><td align="center" valign="middle" >Median (IQR)</td><td align="center" valign="middle" >11 (11 - 11)</td><td align="center" valign="middle" >3 (2 - 3)</td><td align="center" valign="middle"  rowspan="2"  >-1.414≠</td><td align="center" valign="middle"  rowspan="2"  >0.157</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >11 - 11</td><td align="center" valign="middle" >2 - 3</td></tr><tr><td align="center" valign="middle" >&lt;3</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >3 (100.0%)</td><td align="center" valign="middle"  rowspan="2"  >4.000</td><td align="center" valign="middle"  rowspan="2"  >0.046</td><td align="center" valign="middle"  rowspan="2"  >S</td></tr><tr><td align="center" valign="middle" >≥3</td><td align="center" valign="middle" >1 (100.0%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table13" ><label><xref ref-type="table" rid="table1">Table 1</xref>3</label><caption><title> Comparison between both groups regarding NCV and EMG</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value*</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. (%)</td><td align="center" valign="middle" >No. (%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >NCV and EMG</td><td align="center" valign="middle" >Demyelinating motor and sensory</td><td align="center" valign="middle" >5 (33.3%)</td><td align="center" valign="middle" >0 (0.00%)</td><td align="center" valign="middle"  rowspan="3"  >2.222</td><td align="center" valign="middle"  rowspan="3"  >0.329</td><td align="center" valign="middle"  rowspan="3"  >NS</td></tr><tr><td align="center" valign="middle" >Axonal motor polyneuropathy</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >8 (53.3%)</td><td align="center" valign="middle" >4 (80.0%)</td></tr><tr><td align="center" valign="middle" >F-wave</td><td align="center" valign="middle" >Abnormal</td><td align="center" valign="middle" >15 (100.0%)</td><td align="center" valign="middle" >5 (100.0%)</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >–</td></tr></tbody></table></table-wrap><table-wrap-group id="14"><label><xref ref-type="table" rid="table1">Table 1</xref>4</label><caption><title> Comparison between both groups regarding Hughes scale</title></caption><table-wrap id="14_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle"  rowspan="2"  >Test Value*</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >No. (%)</td><td align="center" valign="middle" >No. (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Hughes scale at presentation</td><td align="center" valign="middle" >Grade 1</td><td align="center" valign="middle" >1 (6.7%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="5"  >12.000</td><td align="center" valign="middle"  rowspan="5"  >0.017</td><td align="center" valign="middle"  colspan="2"   rowspan="5"  >S</td></tr><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >6 (40.0%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >6 (40.0%)</td><td align="center" valign="middle" >2 (40.0%)</td></tr><tr><td align="center" valign="middle" >Grade 5</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr></tbody></table></table-wrap><table-wrap id="14_2"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="5"  >Hughes scale at 4 weeks</th><th align="center" valign="middle" >Grade 1</th><th align="center" valign="middle" >3 (20.0%)</th><th align="center" valign="middle" >0 (0.0%)</th><th align="center" valign="middle"  rowspan="5"  >15.733</th><th align="center" valign="middle"  rowspan="5"  >0.003</th><th align="center" valign="middle"  rowspan="5"  >HS</th></tr></thead><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >8 (53.3%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >4 (26.7%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle" >Grade 6</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Hughes scale at 8 weeks</td><td align="center" valign="middle" >Grade 0</td><td align="center" valign="middle" >5 (33.3%)</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle"  rowspan="6"  >20.000</td><td align="center" valign="middle"  rowspan="6"  >0.001</td><td align="center" valign="middle"  rowspan="6"  >HS</td></tr><tr><td align="center" valign="middle" >Grade 1</td><td align="center" valign="middle" >8 (53.3%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Grade 2</td><td align="center" valign="middle" >2 (13.3%)</td><td align="center" valign="middle" >0 (0.0%)</td></tr><tr><td align="center" valign="middle" >Grade 3</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle" >Grade 4</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle" >Grade 6</td><td align="center" valign="middle" >0 (0.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table15" ><label><xref ref-type="table" rid="table1">Table 1</xref>5</label><caption><title> Comparison between both groups regarding treatmentmode</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle" >Group II</th><th align="center" valign="middle" >Group I</th><th align="center" valign="middle"  rowspan="2"  >Test Value</th><th align="center" valign="middle"  rowspan="2"  >P-Value</th><th align="center" valign="middle"  rowspan="2"  >Sig.</th></tr></thead><tr><td align="center" valign="middle" >No. = 15</td><td align="center" valign="middle" >No. = 5</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Mode or treatment</td><td align="center" valign="middle" >PE</td><td align="center" valign="middle" >9 (60.0%)</td><td align="center" valign="middle" >1 (20.0%)</td><td align="center" valign="middle"  rowspan="3"  >3.200</td><td align="center" valign="middle"  rowspan="3"  >0.202</td><td align="center" valign="middle"  rowspan="3"  >NS</td></tr><tr><td align="center" valign="middle" >IVIG</td><td align="center" valign="middle" >3 (20.0%)</td><td align="center" valign="middle" >1 (20.0%)</td></tr><tr><td align="center" valign="middle" >PE and IVIG</td><td align="center" valign="middle" >3 (20.0%)</td><td align="center" valign="middle" >3 (60.0%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Number of session of PE</td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >5.67 &#177; 1.61</td><td align="center" valign="middle" >4.75 &#177; 1.26</td><td align="center" valign="middle"  rowspan="2"  >-1.028</td><td align="center" valign="middle"  rowspan="2"  >0.322</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >3 - 9</td><td align="center" valign="middle" >3 - 6</td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >8 (66.7%)</td><td align="center" valign="middle" >3 (75.0%)</td><td align="center" valign="middle"  rowspan="2"  >0.097</td><td align="center" valign="middle"  rowspan="2"  >0.755</td><td align="center" valign="middle"  rowspan="2"  >NS</td></tr><tr><td align="center" valign="middle" >≥5</td><td align="center" valign="middle" >4 (33.3%)</td><td align="center" valign="middle" >1 (25.0%)</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>GBS is an acute-onset, monophasic immune-mediated disorder of the peripheral nervous system that follows an antecedent infection [<xref ref-type="bibr" rid="scirp.95015-ref8">8</xref>] . Prognosis is usually good, but residual motor and sensory deficits may occur. Nonetheless, about 20%of patients die from the complication of GBS or remain disabled. Outcome from GBS is determined by the extent of nerve damage in the acute phase and the capacity to recover in the convalescent phase [<xref ref-type="bibr" rid="scirp.95015-ref9">9</xref>] .</p><p>The aim of this study was to assess the factors (clinical, investigatory tools, and therapies) that may affect the outcome of patients with GBS.</p><p>In this study twenty patients with the diagnosis of Guillain Barre Syndrome within two weeks from onset of neurologic symptoms were included, whom their diagnosis based on the established clinical criteria and verified by investigations. Patients were selected from both genders and aged from 18 to 65 years old. NCS and EMG were performed within two weeks from admission. In this study various lines of treatment such as PE, IVIG or both were received during the period of admission in hospital. Outcome was assessed on the Hughes functional score (F-score), that was applied to the patients on admission, at end of 4 weeks from onset of neuropathy and at the end of 8 weeks and the final outcome (either good or poor prognosis) was at the end of 8 weeks as follow; Group I: 15 patients with good prognosis (0 - 2) on the Hughes functional score and Group II: 5 patients with poor prognosis (3 - 6) on the Hughes functional score; 5 patients.</p><p>The results of this study showed no statistical significant difference between the studied groups as regard demographic data; sex and age. However, the group age ranging from 16 to 39 years reported significantly favorable prognosis. Similar findings were reported by van Koningsveld et al. (2007) and Munayco et al. (2019) [<xref ref-type="bibr" rid="scirp.95015-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref11">11</xref>] . This may be due to the occurrence of higher incidence of complications during hospitalization in elderly patients, such as lymphocytopenia, hyponatremia, hypoalbuminemia, hyperglycemia, dysautonomia and pneumonia [<xref ref-type="bibr" rid="scirp.95015-ref12">12</xref>] . This study showed no significant differences as regard the type of antecedent illness for both groups. The most common illness reported was upper respiratory tract infection. But Hadden et al. (2011) and Zhang et al. (2018) reported that antecedent illness of gastroenteritis was a predictor of poor prognosis in their studies [<xref ref-type="bibr" rid="scirp.95015-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref14">14</xref>] . Also, Campylobacter jejuni infections are associated with more severe types of GBS with axonal involvement rather than demyelinating peripheral nervous system involvement [<xref ref-type="bibr" rid="scirp.95015-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref15">15</xref>] .This discrepancy from present study can be explained by small sample number in the current study and small number of patients with antecedent gastroenteritis infection. Regarding the autonomic dysfunction, the results of this study showed no significant difference in relation to the final outcome. Similar findings were reported by [<xref ref-type="bibr" rid="scirp.95015-ref16">16</xref>] . However Verma et al. (2013) and Zaem et al. (2019) reported that autonomic dysfunctions ranged from isolated tachy- or bradycardia with or without hemodynamic fluctuations to cardiac arrest, neurogenic pulmonary edema, urinary retention, gastrointestinal dysfunction and changes in sweating were significant predictor of poor prognosis [<xref ref-type="bibr" rid="scirp.95015-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref18">18</xref>] . This discrepancy from present study can be explained by small sample number with autonomic dysfunction and early management in high-quality ICU to avoid autonomic complications. The current study results showed that patients who started treatment earlier had significant good prognosis. Similar findings were reported by van Doorn (2013) and Christine et al. (2017) [<xref ref-type="bibr" rid="scirp.95015-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref20">20</xref>] . Asearly treatment will probably reduce the incidence of patients who required assisted ventilation, and decrease in the time to onset of motor recovery. The present study reported that patients with long duration stay in hospital showed significant poor prognosis. Similar findings were reported by van Doorn (2013) and Nasiri et al. (2018) [<xref ref-type="bibr" rid="scirp.95015-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref21">21</xref>] . This might be due to the high incidence of complications associated with long stay duration such as hospital acquired pneumonia, sepsis, adult respiratory distress syndrome, DVT, pulmonary embolism and dysautonomia [<xref ref-type="bibr" rid="scirp.95015-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref22">22</xref>] . The current study results showed the patients who needed mechanical ventilation had significantly poor prognosis. Similar findings were reported by Wu et al. (2015) and EL-Khayat et al. (2018) [<xref ref-type="bibr" rid="scirp.95015-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref24">24</xref>] . This can be explained by those who needed mechanical ventilation It is known that adequate ventilation may hadinadequate inspiratory effort, ineffective expiratory force, and the inability to protect the airway. Also, complication of ventilator as pneumonia related ventilator, extubation, ruptured lung alveoli and hemoptysis may occur [<xref ref-type="bibr" rid="scirp.95015-ref25">25</xref>] . Zhahirul et al. (2019) found that those who needed mechanical ventilation, the short duration between first symptom and mechanical ventilation had significantly poor prognosis [<xref ref-type="bibr" rid="scirp.95015-ref26">26</xref>] . This may be due to the short duration is an indicator of rapid worsening of GBS with compromised respiratory function. In similar patients with rapid deterioration the possibility of immune-mediated damage to the peripheral nervous system may occur very early and the reversibility of this process may be incomplete with various immunomodulatory therapies, accounting for the delayed pulmonary functional recovery and poor prognosis [<xref ref-type="bibr" rid="scirp.95015-ref27">27</xref>] .In this study most of patients showed mixed demyelinating motor and sensory and axonal motor polyneuropathy followed by demyelinating motor and sensory and the least common type was axonal motor polyneuropathy, with no statistical significant difference between both two groups. Similar findings were reported by Versace et al., (2017) and Mustafa and Ali (2019) [<xref ref-type="bibr" rid="scirp.95015-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref29">29</xref>] . The current study results showed majority of patients had a high Hughes score at presentation. A high Hughes scale score at presentation was seen to have significant poor outcome. Similar findings were reported by EL-Khayat et al. (2018) [<xref ref-type="bibr" rid="scirp.95015-ref24">24</xref>] . In this study, the type of treatment given showed no statistical significant difference with outcome at 8 weeks. Similar findings were reported by Hughes et al., (2007) and Zhang et al. (2018) which demonstrated equal efficacy with IVIG monotherapy and plasmapheresis monotherapy or plasmapheresis followed by IVIG and evidenced in the current study by absence of significant difference between good and poor prognosis [<xref ref-type="bibr" rid="scirp.95015-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.95015-ref30">30</xref>] .</p>Limitations and Strengths<p>This study has some limitations which have to be taken into consideration. First, the sample size was relatively small, resulting in low statistical power for detecting significant differences between two groups. Second, non-usage of recent immunological tests was for the different subtypes of GBS as, IgG anti GT1b, anti GD1b, anti GM1, anti GM2. Finally, the complications should be evaluated for a long time. However, the strengths of this study were the correlation between the clinical, investigation modalities; EMG &amp; NCT and functional outcome assessment in different modalities of treatment in GBS for better prognostic evaluation.</p></sec><sec id="s5"><title>5. Conclusion</title><p>GBS is an acute-onset, monophasic immune-mediated disorder of the peripheral nervous system that often follows an antecedent infection. This study included twenty patients with the diagnosis of GBS within two weeks from onset of neurologic symptoms, whom their diagnosis based on the established clinical criteria and verified by investigations. Nerve conduction studies and electromyography were performed within two week from admission. In this study various lines of treatment such as plasma exchange, IVIG or both were received during the period of admission in hospital. In this study, an older age group was a predictor of poor outcome. An antecedent infection was seen in all cases as gastroenteritis and respiratory tract infection. Ascending pattern of weakness was more common than descending pattern in this study population and was not related to final outcome. The most common electrophysiological subtype was demyelinating type followed by axonal neuropathy type. High Hughes score at admission was associated with poor outcome at 8 weeks. In this study, various lines of treatment such as PE, IVIG or both showed a similar outcome. Mechanical ventilation was associated with poor outcome at 8 weeks. Long Duration stay in hospital was a predictor of poor outcome. Thus early diagnosis, early management in high-quality ICU to avoid complications and the use of PE or IVIG or both in GBS are of utmost important.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Alloush, T., Fahmy, N.A., Fouad, M.M., Albaroudy, H.O., Hamdy, M. and Salem, H.H. (2019) Prediction of Outcome in Patients with Guillain Barre Syndrome—An Egyptian Study. Neuroscience &amp; Medicine, 10, 232-246. https://doi.org/10.4236/nm.2019.103018</p></sec></body><back><ref-list><title>References</title><ref id="scirp.95015-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Jacobs, B.C., van den Berg, L., Christine, V., et al. (2017) International Guillain-Barré Syndrome Outcome Study (IGOS): Protocol of a Prospective Observational Cohort Study on Clinical and Biological Predictors of Disease Course and Outcome in Guillain-Barrésyndrome. Journal of the Peripheral Nervous System, 22, 68-76. https://doi.org/10.1111/jns.12209</mixed-citation></ref><ref id="scirp.95015-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Rady, H.I. and Attala, H. (2014) Assessment of New Strategies in the Management of Guillain Barre Syndrome: Cairo University. Journal of Pediatrics &amp; Neonatal Care, 1, Article ID: 00027. https://doi.org/10.15406/jpnc.2014.01.00027</mixed-citation></ref><ref id="scirp.95015-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Rosen, B.A. (2012) Guillain-Barre Syndrome. Pediatrics in Review, 33, 164-170.  
https://doi.org/10.1542/pir.33-4-164</mixed-citation></ref><ref id="scirp.95015-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Sharma, M.B., Chaudhry, R., Tabassum, I., Ahmed, N.H., Sahu, J.K., et al. (2011) The Presence of Mycoplasma Pneumonia Infection and GM1 Ganglioside Antibodies in Guillain-Barre Syndrome. The Journal of Infection in Developing Countries, 5, 459-464. https://doi.org/10.3855/jidc.1508</mixed-citation></ref><ref id="scirp.95015-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Chiò, A., Cocito, D., Leone, M., Giordana, M.T., Mora, G., Mutani, R. and d’Aosta, V. (2003) Guillain-Barre Syndrome: A Prospective, Population-Based Incidence and Outcome Survey. Neurology, 60, 1146-1150.  
https://doi.org/10.1212/01.WNL.0000055091.96905.D0</mixed-citation></ref><ref id="scirp.95015-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Kuitwaard, K., de Gelder, J., Tio-Gillen, A.P., Hop, W.C., van Gelder, T., van Toorenenbergen, A.W., van Doorn, P.A. and Jacobs, B.C. (2009) Pharmacokinetics of Intravenous Immunoglobulin and Outcome in Guillain-Barré Syndrome. Annals of Neurology, 66, 597-603. https://doi.org/10.1002/ana.21737</mixed-citation></ref><ref id="scirp.95015-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Hughes, R.A., Newsom-Davis, J.M., Perkin, G.D. and Pierce, J.M. (1978) Controlled Trial Prednisolone in Acute Polyneuropathy. The Lancet, 2, 750-753.  
https://doi.org/10.1016/S0140-6736(78)92644-2</mixed-citation></ref><ref id="scirp.95015-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Van den Berg, B., Walgaard, C., Drenthen, J., Fokke, C., Jacobs, B.C. and van Doorn, P.A. (2014) Guillain-Barre Syndrome: Pathogenesis, Diagnosis, Treatment and Prognosis. Nature Reviews Neurology, 10, 469-482.  
https://doi.org/10.1038/nrneurol.2014.121</mixed-citation></ref><ref id="scirp.95015-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Esmail, S. (2019) An Overview of Guillain-Barre Syndrome. Neurophysiology and Rehabilitation, 1, 42-46. https://doi.org/10.33805/2641-8991.113</mixed-citation></ref><ref id="scirp.95015-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Van Koningsveld, R., Steyerberg, E.W., Hughes, R.A., Swan, A.V., van Doorn, P.A. and Jacobs, B.C. (2007) A Clinical Prognostic Scoring System for Guillain-Barre Syndrome. The Lancet Neurology, 6, 589-594.  
https://doi.org/10.1016/S1474-4422(07)70130-8</mixed-citation></ref><ref id="scirp.95015-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Munayco, C.V., Soto, M.G., Reyes, M.F., et al. (2019) Epidemiology of Guillain Barre Syndrome in Peru. Revista Peruana de Medicina Experimental y Salud Pública, 36, 10-16. https://doi.org/10.17843/rpmesp.2019.361.3729</mixed-citation></ref><ref id="scirp.95015-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Harms, M. (2011) Inpatient Management of Guillain-Barre Syndrome. The Neurohospitalist, 1, 78-84. https://doi.org/10.1177/1941875210396379</mixed-citation></ref><ref id="scirp.95015-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Hadden, R.D., Karch, H., Hartung, H.P., et al. (2011) Preceding Infections, Immune Factors, and Outcome in Guillain-Barre Syndrome. Neurology, 56, 758-765.  
https://doi.org/10.1212/WNL.56.6.758</mixed-citation></ref><ref id="scirp.95015-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, Y., et al. (2018) Prognostic Factors of Guillain-Barré Syndrome: A 111-Case Retrospective Review. Chinese Neurosurgical Journal, 4, 14.  
https://doi.org/10.1186/s41016-018-0122-y</mixed-citation></ref><ref id="scirp.95015-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Davidson, A.I., Halstead, S.K., Goodfellow, J.A., Chavada, G., Mallik, A., Overell, J., Lunn, M.P., McConnachie, A., van Doorn, P. and Willison, H.J. (2017) Inhibition of Complement in Guillain-Barre Syndrome: The ICA-GBS Study. Journal of the Peripheral Nervous System, 22, 4-12. https://doi.org/10.1111/jns.12194</mixed-citation></ref><ref id="scirp.95015-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Kalita, J., Misra, U.K., Goyal, G. and Das, M. (2014) Guillain-Barré Syndrome: Subtypes and Predictors of Outcome from India. Journal of the Peripheral Nervous System, 19, 36-43. https://doi.org/10.1111/jns5.12050</mixed-citation></ref><ref id="scirp.95015-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Verma, R., Chaudhari, T., Raut, T. and Garg, R. (2013) Clinico-Electrophysiological Profile and Predictors of Functional Outcome in Guillian-Barre Syndrome (GBS). Journal of the Neurological Sciences, 335, 105-111.  
https://doi.org/10.1016/j.jns.2013.09.002</mixed-citation></ref><ref id="scirp.95015-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Zaem, Z., Siddiqi, Z. and Zochodone, D.W. (2019) Autonomic Involvement in Guillain-Barre Syndrome: An Update. Clinical Autonomic Research, 3, 289-299.  
https://doi.org/10.1007/s10286-018-0542-y</mixed-citation></ref><ref id="scirp.95015-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">van Doorn, P. (2013) Diagnosis, Treatment and Prognosis of Guillain-Barré Syndrome (GBS). La Presse Médicale, 42, e193-e201.  
https://doi.org/10.1016/j.lpm.2013.02.328</mixed-citation></ref><ref id="scirp.95015-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Christine, V., Pieter, A.D. and Bart, C.J. (2017) Treatment Dilemmas in Guillain-Barré Syndrome. Journal of Neurology, Neurosurgery, and Psychiatry, 88, 346-352. https://doi.org/10.1136/jnnp-2016-314862</mixed-citation></ref><ref id="scirp.95015-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Nasiri, J., Ghazavi, M., Yaghini, O. and Chaldavi, M. (2018) Clinical Features and Outcome of Guillain-Barré Syndrome. Iranian Journal of Neurology, 12, 49-57.</mixed-citation></ref><ref id="scirp.95015-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Koeppen, S., Kraywinkel, K., Wessendorf, T.E., Ehrenfeld, C.E., et al. (2006) Long-Term Outcome of Guillain-Barre Syndrome. Neurocritical Care, 5, 235-242.  
https://doi.org/10.1385/NCC:5:3:235</mixed-citation></ref><ref id="scirp.95015-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Wu, X., Li, C., Zhang, B., Shen, D., Li, T., Liu, K., et al. (2015) Predictors for Mechanical Ventilation and Short-Term Prognosis in Patients with Guillain-Barré Syndrome. Critical Care, 19, 310. https://doi.org/10.1186/s13054-015-1037-z</mixed-citation></ref><ref id="scirp.95015-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">El-Khayat, N.M., Nada, M.A., El-Sayed, H.H., et al. (2018) Factors Associated with Prognosis of Guillian-Barre Syndrome. Journal of Clinical Psychology and Cognitive Science, 2, 29-31.</mixed-citation></ref><ref id="scirp.95015-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Kalita, J., Ranjan, A. and Misra, U.K. (2016) Outcome of Guillain-Barre Syndrome Patients with Respiratory Paralysis. QJM: An International Journal of Medicine, 109, 319-323. https://doi.org/10.1093/qjmed/hcv190</mixed-citation></ref><ref id="scirp.95015-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Zhahirul, I., Nowshin, P., Gulshan, A., et al. (2019) Risk Factors for Respiratory Failure in Guillain-Barré Syndrome in Bangladesh: A Prospective Study. Annals of Clinical and Translational Neurology, 6, 324-332. https://doi.org/10.1002/acn3.706</mixed-citation></ref><ref id="scirp.95015-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Umarudee, T., Chanon, K., Suwanna, S., et al. (2015) Clinical Presentations as Predictors of Prolonged Mechanical Ventilation in Guillain-Barré Syndrome in an Institution with Limited Medical Resources. Singapore Medical Journal, 56, 558-561.  
https://doi.org/10.11622/smedj.2015152</mixed-citation></ref><ref id="scirp.95015-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Versace, V., Campostrini, S., Tezzon, F., Martignago, S., Kofler, M., Saltuari, L., Sebastianelli, L. and Nardone, R. (2017) Atypical Electrophysiological Findings in a Patient with Acute Motor and Sensory Axonal Neuropathy. Frontiers in Neurology, 8, 594. https://doi.org/10.3389/fneur.2017.00594</mixed-citation></ref><ref id="scirp.95015-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Mustafa, C. and Ali, R.S. (2019) The Investigation of Guillain-Barre Syndrome and Prognosis. Annals of Medical Research, 26, 763-768.  
https://doi.org/10.5455/annalsmedres.2019.02.102</mixed-citation></ref><ref id="scirp.95015-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Hughes, R.A., Swan, A.V., Raphael, J.C., Annane, D., van Koningsveld, R. and van Doorn, P.A. (2007) Immunotherapy for Guillain-Barre Syndrome: A Systematic Review. Brain, 130, 2245-2257. https://doi.org/10.1093/brain/awm004</mixed-citation></ref></ref-list></back></article>