<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1110465</article-id><article-id pub-id-type="publisher-id">OALibJ-127541</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Association between Neutrophil-Lymphocyte Ratio (NLR) and Clinical Outcomes among Filipino Patients with End-Stage Renal Disease (ESRD) Secondary to Diabetic Nephropathy on Maintenance Hemodialysis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lovenia</surname><given-names>Anne Olores</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>Grecia</surname><given-names>Darunday</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>Eratosthenes</surname><given-names>Polito</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>Ruben</surname><given-names>Maguad</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>The Kidney Service, Perpetual Succour Hospital, Cebu, Philippines</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>09</month><year>2023</year></pub-date><volume>10</volume><issue>09</issue><fpage>1</fpage><lpage>10</lpage><history><date date-type="received"><day>4,</day>	<month>July</month>	<year>2023</year></date><date date-type="rev-recd"><day>4,</day>	<month>September</month>	<year>2023</year>	</date><date date-type="accepted"><day>7,</day>	<month>September</month>	<year>2023</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>
 
 
  The incidence of end-stage renal disease (ESRD) is increasing in the Philippines. The presence of diabetes mellitus further worsens ESRD prognosis. The neutrophil-to-lymphocyte ratio (NLR) is a reliable prognostic marker for mortality, but its usefulness as a prognostic biomarker in diabetes patients with chronic kidney disease is yet to be clarified. This study aimed to determine the association between NLR and morbidity among Filipino patients with end-stage renal disease (ESRD) secondary to diabetic nephropathy on maintenance hemodialysis. This was an observational descriptive, prospective cohort study that evaluated outpatient Filipino citizens aged &gt; 18 years diagnosed with ESRD secondary to type 2 diabetes mellitus (T2DM). All patients had good compliance with their hemodialysis regimen (i.e., at least twice weekly dialysis within the past 3 months). The patients were divided into two groups according to the baseline NLR value at a cut-off of 3.5 as the high NLR group (≥3.5) and the low NLR group (&lt;3.5). The cutoff was based on data that a high NLR of ≥3.5 was correlated with increased inflammatory states leading to higher morbidity. Patients were followed up after 6 months, and data on the primary outcome measure of disease occurrence were collected. Of the 63 patients evaluated, the majority (n = 39, 61.9%) had a baseline NLR value of &lt;3.5. The high NLR group included 24 (38.1%) patients; among them, 9 developed diseases. In the low NLR group (n = 39), only 2 patients developed disease. NLR was significantly correlated with clinical disease outcomes (p ≤ 0.05). A baseline NLR of ≥3.5 was associated with disease occurrence. In conclusion, patients with a high baseline NLR have an increased inflammatory state and a higher risk of developing disease conditions than patients with an NLR &lt; 3.5. Thus, the baseline NLR value can be used to predict prognosis in T2DM patients with ESRD.
 
</p></abstract><kwd-group><kwd>Neutrophil-Lymphocyte Ratio</kwd><kwd> Diabetic Nephropathy</kwd><kwd> Maintenance Hemodialysis</kwd><kwd> Filipino</kwd><kwd> ESRD</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>End-stage renal disease (ESRD) is the final stage of chronic kidney disease characterized by kidney failure necessitating renal replacement therapy. The global incidence of ESRD increases annually by 8%, and more than 1.4 million ESRD patients undergo renal replacement therapy. In the Philippines, data from the 2016 Philippine Renal Disease Registry show an increasing trend in the incidence of ESRD [<xref ref-type="bibr" rid="scirp.127541-ref1">1</xref>] . The heightened inflammatory state in these patients contributes to the high mortality rate. Chronic inflammation plays a vital role in the initiation and progression of debilitating illnesses, including chronic kidney disease, that lead to adverse clinical outcomes [<xref ref-type="bibr" rid="scirp.127541-ref2">2</xref>] . The etiology of systemic inflammation in ESRD is multifactorial. Inflammation in this condition is attributed to various factors including the decreased clearance of pro-inflammatory cytokines, oxidative stress, uremic environment, leukocyte adhesion, infiltration of the vascular endothelium, dialysis-related factors, and the presence of infections [<xref ref-type="bibr" rid="scirp.127541-ref3">3</xref>] . Pro-inflammatory cytokines such as tumor necrosis factor (TNF)-alpha, interleukin (IL)-6, and C-reactive protein (CRP) are among the representative inflammatory markers. However, their clinical measurement is costly [<xref ref-type="bibr" rid="scirp.127541-ref3">3</xref>] .</p><p>The neutrophil-lymphocyte ratio (NLR) is a novel inflammatory biomarker calculated by dividing the neutrophil count by the absolute lymphocyte count. NLR has been established as a reliable prognostic marker for mortality in patients with solid organ malignancies, peripheral vascular diseases, and acute coronary syndromes [<xref ref-type="bibr" rid="scirp.127541-ref3">3</xref>] . However, there have been few studies on the use of NLR as a prognostic marker in diabetes patients with chronic kidney disease. The presence of comorbidities such as diabetes mellitus type II (T2DM) in ESRD is one of the leading causes of its poor prognosis. The 2018 Philippine Health Statistics ranked diabetes mellitus as the fifth leading cause of mortality in adults [<xref ref-type="bibr" rid="scirp.127541-ref4">4</xref>] . Chronic hyperglycemia along with the underlying inflammation in ESRD contributes to worse clinical outcomes. The survival rate of ESRD patients with DM is comparable to that of patients with cancer [<xref ref-type="bibr" rid="scirp.127541-ref5">5</xref>] .</p><p>The NLR is a biomarker that incorporates two types of inversely related immune pathways. Specifically, it can be calculated from the differential white blood cell (WBC) count, which is a more reliable measurement than the individual WBC count as it is less influenced by conditions that could modify the individual cell counts [<xref ref-type="bibr" rid="scirp.127541-ref6">6</xref>] . Given that neutrophils have short half-lives, NLR can reflect the immediate severity of systemic inflammation and can thus be used as an effective marker of acute inflammation [<xref ref-type="bibr" rid="scirp.127541-ref7">7</xref>] . NLR determines the balance between neutrophils (the active inflammatory component) and lymphocytes (the regulatory and “protective component). As such, a higher NLR correlates with a greater level of inflammation [<xref ref-type="bibr" rid="scirp.127541-ref8">8</xref>] . Okyay et al. conducted a large cohort study of hemodialysis patients and found that an increased neutrophil count and a decreased lymphocyte count were useful predictors of poor outcomes [<xref ref-type="bibr" rid="scirp.127541-ref9">9</xref>] .</p><p>The 2014 Nagoya Immunity System in End-stage renal disease study concluded that a higher NLR was associated with an increased risk for cardiovascular-related events in hemodialysis patients [<xref ref-type="bibr" rid="scirp.127541-ref6">6</xref>] . Erdem et al. in 2013 and also found a higher mortality rate in dialysis patients with high neutrophil and low lymphocyte counts; they concluded that these parameters were independent predictors of mortality in hemodialysis patients [<xref ref-type="bibr" rid="scirp.127541-ref10">10</xref>] . In addition, the Dialysis Outcomes and Practice Pattern Study reported that patients with a lower baseline lymphocyte count and higher baseline and 6-month increase in neutrophil count had significantly higher mortality rates [<xref ref-type="bibr" rid="scirp.127541-ref10">10</xref>] .</p><p>A 2012 study by Imtiaz showed that patients with comorbid conditions associated with a high NLR had a higher level of systemic inflammation. Endothelial dysfunction was found to be the common etiology in patients with metabolic syndrome, obesity, and diabetes. Inflammation modifies endothelial function and its capability to produce vasodilator substances such as nitric oxide, prostacyclin, and antithrombotic and anti-atherogenic properties of the vascular endothelium [<xref ref-type="bibr" rid="scirp.127541-ref11">11</xref>] . Inflammation interacts with malnutrition, and imbalances in protein-energy nutritional status leads to protein-energy wasting, resulting in the high mortality among hemodialysis patients [<xref ref-type="bibr" rid="scirp.127541-ref2">2</xref>] .</p><p>Between 2008 and 2014, the top three causes of ESRD in the Philippines were diabetic nephropathy, hypertensive nephrosclerosis, and glomerulonephritis [<xref ref-type="bibr" rid="scirp.127541-ref12">12</xref>] . DM causes worse clinical outcomes and complications. In a study by Balta et al., patients with DM had significantly higher NLRs than did the healthy control group. The NLR of the DM patients with diabetic retinopathy was also higher than those of the DM patients without diabetic retinopathy [<xref ref-type="bibr" rid="scirp.127541-ref8">8</xref>] . Soleymanian et al. reported that among hemodialysis patients, those with diabetes have worse clinical outcomes and health-related quality of life, and this was mainly attributable to the higher frequency of cardiovascular events in these patients [<xref ref-type="bibr" rid="scirp.127541-ref13">13</xref>] . Given this adverse impact of DM, the current study focused on DM patients with ESRD.</p><p>No standardized criteria for defining a high NLR have been established. However, a study by Neuen et al. showed that patients with an NLR value of more than 3.0 were significantly more likely to have diabetes and have a higher white cell count and a lower hemoglobin count [<xref ref-type="bibr" rid="scirp.127541-ref3">3</xref>] . A 2013 prospective cohort study by Erdem et al. used an NLR cutoff of 3.48 and concluded that high NLR was associated with high short-term overall mortality risk and thus may be used as a predictor of all-cause mortality in patients with ESRD [<xref ref-type="bibr" rid="scirp.127541-ref10">10</xref>] . An NLR of &gt;3.5 indicates concurrently elevated TNF-a levels [<xref ref-type="bibr" rid="scirp.127541-ref14">14</xref>] . The study by Han Li et al further emphasized that an NLR ≥ 3.5 was associated with high all-cause and cardiovascular death in patients on chronic hemodialysis [<xref ref-type="bibr" rid="scirp.127541-ref15">15</xref>] .</p><p>NLR is increasingly recognized as a marker of systemic inflammation, but its prognostic value in patients with ESRD secondary to diabetic nephropathy is unknown. Thus, this study aimed to investigate the prognostic value of NLR, as a marker of systemic inflammation, and its association with clinical outcomes and all-cause morbidity and mortality in patients with ESRD secondary to DM nephropathy on maintenance hemodialysis. Particularly, we clarified the association between NLR and clinical outcomes among Filipino patients with ESRD secondary to diabetic nephropathy on maintenance hemodialysis. Towards this goal, the 6-month clinical outcomes in patients with elevated NLR (&gt;3.5) with respect to pneumonia, acute pulmonary edema, acute coronary syndromes, catheter-related blood stream infections, urinary tract infections, hospitalizations, and duration of hospitalization were clarified.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Design and Participants</title><p>This observational, descriptive, prospective cohort study was approved by the Institutional Ethics and Review Board (IERB) of Perpetual Succour Hospital (PSH) (Approval code: 2018-007) and was conducted according to the tenets of the Declaration of Helsinki. The need for written informed consent was waived as this was only a chart review study.</p><p>This study was conducted in PSH Kidney Service, Gorordo Avenue, Cebu City, Philippines. Adult Filipino patients aged &gt; 18 years diagnosed with ESRD secondary to DM nephropathy with good compliance to hemodialysis were evaluated. Good compliance was defined as meeting the schedule of at least twice weekly hemodialysis for at least 3 months. The exclusion criteria were ESRD secondary to other causes and presence of current infections and autoimmune disease. Patients who had a failed renal transplant and returned to hemodialysis during the study period were also excluded.</p><p>The Kidney Service of PSH had accommodated a total of 191 ESRD outpatients as of January 2018; of them, 71 patients had ESRD secondary to diabetic nephropathy.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>Clinicodemographic data, including age, sex, height, weight, body mass index (BMI), medications, and comorbidities, of 63 eligible patients were collected from the medical records. The NLR was measured once from the routine monthly complete blood count (CBC) and then repeated after 6 months. Data collected in this study did not include personal or confidential information, and the patient’s privacy was preserved.</p></sec><sec id="s2_3"><title>2.3. Statistical Analysis</title><p>The primary endpoint was mortality. Data were expressed as the mean &#177; SD for continuous variables and as numbers (percentage) for categorical variables. In testing associations, the Chi square test was utilized with continuity correction for 2 &#215; 2 contingency table. All statistical analyses were performed using the Statistical Program for Social Sciences (SPSS) version 22.0 (IBM Corp., Armonk, NY, USA). A p-value of &lt;0.05 was considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The mean patient age was 63.38 years (range, 35 - 87 years; standard deviation [SD], 11.107), and majority (n = 35; 55.6%) of the patients were male. <xref ref-type="table" rid="table1">Table 1</xref> shows the baseline clinicodemographic characteristics of the patients. With respect to comorbidities, 46 (73%), 11 (17.5%), and 2 (3.2%) patients had concomitant hypertension, CAD, and chronic obstructive pulmonary disease (COPD), respectively. There were 3 (4.8%) patients with a history of cerebrovascular diseases. Overall, 58 patients had complete BMI data; of them, majority 37 (58.7%)</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Patient characteristics (n = 63)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle"  colspan="2"  >n (%)</th></tr></thead><tr><td align="center" valign="middle" >Sex Male Female</td><td align="center" valign="middle"  colspan="2"  >35 (55.8) 28 (44.4)</td></tr><tr><td align="center" valign="middle" >Age (years), mean &#177; SD</td><td align="center" valign="middle" >63.38</td><td align="center" valign="middle" >&#177;11.107</td></tr><tr><td align="center" valign="middle" >Comorbidities (n = 63) Hypertension Coronary artery disease Cerebrovascular disease Chronic obstructive pulmonary disease</td><td align="center" valign="middle"  colspan="2"  >46 (73) 11 (17.5) 3 (4.8) 2 (3.2)</td></tr><tr><td align="center" valign="middle" >Body mass index, kg/m<sup>2</sup> (n = 58) (WHO general population [<xref ref-type="bibr" rid="scirp.127541-ref16">16</xref>] ) &lt;18.5 (Underweight) 18.5 - 24.9 (normal weight) &gt;25.0 - 29.9 (pre-obesity)</td><td align="center" valign="middle"  colspan="2"  >2 (3.2) 37 (58.7) 19 (30.2)</td></tr><tr><td align="center" valign="middle" >Medications Calcium carbonate (CaC03) Erythrocyte-stimulating agent Iron Dipeptidyl peptidase-4 inhibitor inhibitors Calcium channel blockers Angiotensin receptor blockers Antiplatelet Angiotensin-converting enzyme inhibitor Nitrates Insulin Alpha 2 agonists Statins Sevelamer carbonate</td><td align="center" valign="middle"  colspan="2"  >57 (90.5) 54 (85.7) 53 (84.1) 37 (58.7) 34 (54.0) 32 (50.8) 21 (33.3) 20 (31.7) 16 (25.4) 12 (19.0) 9 (14.3) 6 (9.5) 3 (4.8)</td></tr></tbody></table></table-wrap><p>had a normal BMI, 19 (30.2%) patients were pre-obese, and 2 (3.2%) patients were underweight. The most commonly used medication was calcium carbonate (n = 57, 90.5%), whereas the least commonly used was sevelamer carbonate (n = 3 patients, 4.8%). The other medications were erythropoietin-stimulating agents (n = 54, 85.7%), iron supplements (n = 53, 84.1%), dipeptidyl peptidase 4 inhibitors (n = 37, 58.7%), calcium channel blockers (n = 34, 54%), angiotensin II receptor blockers (n = 32, 50.8%), antiplatelets (n = 20, 33.3%), angiotensin-converting enzyme inhibitors (n = 20, 31.7%), nitrates (n = 16, 25.4%), insulin (n = 2, 19%), alpha 2 agonists (n = 9, 14.3%), and statins (n = 6, 9.5%).</p><p>The mean neutrophil count was 63.37% (range, 38% - 91%; SD: 9.161) (<xref ref-type="table" rid="table2">Table 2</xref>), and the mean lymphocyte count was 21.18% (range, 6% - 36%; SD: 6.77). The mean NLR was 3.36 (SD: 1.66). Majority of the patients (n = 39) had an NLR value of &lt;3.5 (61.9%); 24 participants (38.1%) had an NLR value of ≥3.5.</p><p>As shown in <xref ref-type="table" rid="table3">Table 3</xref>, there was no significant association between baseline patient characteristics and NLR. Particularly, NLR was not significantly associated with sex (p = 0.931), age (p = 0.906), and BMI (p = 0.509). Further, there were also no significant correlation between NLR and the comorbidities of hypertension (p = 0.550), CAD (p = 1.000), CVD (p = 1.000), and COPD (p = 0.275). NLR was also not correlated with the following medications: CaC03 (p = 0.283), ESA (p = 1.000), iron supplement (p = 1.000), DPPIV inhibitors (p = 0.459), calcium channel blockers (p = 0.814), ARBS (p = 0.674), ACEI (p = 1.000), nitrates (p = 0.723), insulin (p = 0.540), alpha 2 agonists (p = 0.491), statins (p = 0.487), and sevelamer carbonate (p = 0.098).</p><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, NLR is significantly related to clinical outcomes (p = &lt;0.05). Of the 63 patients, 39 patients had an NLR of &lt;3.5, but only 2/39 patients (0.05%) had clinical outcomes: 1 (0.02%) patient had pulmonary edema, and the other 1 (0.02%) patient had hypertensive emergency. Meanwhile, 24/63 patients had an NLR of ≥3.5, and of 15/24 patients developed disease. Among them, 4 (0.16%), 3 (0.125%), 3 (0.125%), and 2 (0.08%), 1 (0.04%), 1 (0.04%), and 1 (0.04%) patient had diabetic foot, pneumonia, catheter-related blood stream infections, pulmonary edema, coronary artery disease, hypertensive emergency, and calciphylaxis, respectively.</p></sec><sec id="s4"><title>4. Discussion</title><p>Evidence on the usefulness of NLR as a prognostic marker in diabetes patients with chronic kidney disease is still scarce to date. This study found that patients with a higher NLR value have an increased inflammatory state and are thus at a</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Neutrophil and lymphocyte counts</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Minimum</th><th align="center" valign="middle" >Maximum</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >Standard deviation</th></tr></thead><tr><td align="center" valign="middle" >Neutrophil (%)</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >63.37</td><td align="center" valign="middle" >9.161</td></tr><tr><td align="center" valign="middle" >Lymphocyte (%)</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >21.18</td><td align="center" valign="middle" >6.776</td></tr><tr><td align="center" valign="middle" >Ratio</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >1.17</td><td align="center" valign="middle" >8.20</td><td align="center" valign="middle" >3.3608</td><td align="center" valign="middle" >1.66295</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Relationship between NLR and patient characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Baseline patient characteristics</th><th align="center" valign="middle" >NLR &lt; 3.5</th><th align="center" valign="middle" >NLR ≥ 3.5</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >14</td><td align="center" valign="middle"  rowspan="2"  >0.931</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >63.51</td><td align="center" valign="middle" >63.17</td><td align="center" valign="middle"  rowspan="2"  >0.906</td></tr><tr><td align="center" valign="middle" >Standard deviation</td><td align="center" valign="middle" >10.933</td><td align="center" valign="middle" >11.620</td></tr><tr><td align="center" valign="middle" >Comorbidities</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >0.550</td></tr><tr><td align="center" valign="middle" >CAD</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >CVD</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >COPD</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.275</td></tr><tr><td align="center" valign="middle" >Body mass index (n = 58)</td><td align="center" valign="middle" >24.8708</td><td align="center" valign="middle" >25.3595</td><td align="center" valign="middle"  rowspan="2"  >0.509</td></tr><tr><td align="center" valign="middle" >Standard deviation</td><td align="center" valign="middle" >5.29279</td><td align="center" valign="middle" >4.49710</td></tr><tr><td align="center" valign="middle" >Medications</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CaCO<sub>3</sub></td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.283</td></tr><tr><td align="center" valign="middle" >ESA</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >Iron</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >DPPIV inhibitors</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >0.459</td></tr><tr><td align="center" valign="middle" >Calcium channel blockers</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >0.814</td></tr><tr><td align="center" valign="middle" >ARBS</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >0.674</td></tr><tr><td align="center" valign="middle" >Antiplatelet</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.409</td></tr><tr><td align="center" valign="middle" >ACEI</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >Nitrates</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.723</td></tr><tr><td align="center" valign="middle" >Insulin</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.540</td></tr><tr><td align="center" valign="middle" >Alpha 2 agonists</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.491</td></tr><tr><td align="center" valign="middle" >Statins</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.487</td></tr><tr><td align="center" valign="middle" >Sevelamer carbonate</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.098</td></tr></tbody></table></table-wrap><p>Note: Significance is set at a p-value of &lt;0.05 alpha.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Association between NLR and clinical outcomes</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >N = 63</th><th align="center" valign="middle"  colspan="2"  >Outcome</th><th align="center" valign="middle"  rowspan="2"  >Total</th><th align="center" valign="middle"  rowspan="2"  >p-Value</th></tr></thead><tr><td align="center" valign="middle" >Without disease occurrence</td><td align="center" valign="middle" >With disease occurrence</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >NLR category</td><td align="center" valign="middle" >Low (&lt;3.5)</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >39</td><td align="center" valign="middle"  rowspan="3"  >&lt;0.05*</td></tr><tr><td align="center" valign="middle" >High (≥3.5)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Total</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >63</td></tr></tbody></table></table-wrap><p>*Significant difference.</p><p>higher risk of developing disease conditions. A higher NLR was significantly correlated to clinical outcomes. Of the 63 patients, 24 patients (38%) had an NLR value of ≥3.5, and 9/24 (0.37%) patients had significant outcomes while 15 (0.62%) had none.</p><p>The prognostic value of NLR was investigated from patients who are already on maintenance hemodialysis because these patients were clinically stable at this time, thus reducing the influence of other transient factors at the commencement of hemodialysis that might affect the inflammatory status [<xref ref-type="bibr" rid="scirp.127541-ref6">6</xref>] . The findings of this study will help clarify the prognostic value of NLR in ESRD patients and provide local data regarding the clinical outcomes and incidence of morbidity and mortality in hemodialysis patients. Further, the findings will provide local data on the relationship between NLR and worse clinical outcomes in Filipino patients with ESRD secondary to DM nephropathy on maintenance hemodialysis</p><p>A high NLR signifies two major components of chronic inflammation, that is, high neutrophil and low lymphocyte counts. A high neutrophil count is a marker of the ongoing destructive nonspecific inflammatory process, while a low lymphocyte count indicates immune regulation and a quiescent immunity pathway. Therefore, elevated NLR can reveal the functional status of the immune system during chronic inflammation [<xref ref-type="bibr" rid="scirp.127541-ref17">17</xref>] . The current study found that there was no correlation between NLR and medication use, consistent with a previous report that medication use does not influence the NLR [<xref ref-type="bibr" rid="scirp.127541-ref9">9</xref>] .</p><p>Chronic inflammation is a contributing factor to the development of diabetic neuropathy. Diabetic neuropathy is the most common complication of diabetes. It has an insidious onset and is characterized by symmetrical numbness, pain, and paresthesia at an early stage, with some patients even developing foot ulcers and gangrene [<xref ref-type="bibr" rid="scirp.127541-ref17">17</xref>] . In this study, majority of the patients (4/24 patients) with high NLR developed diabetic foot.</p></sec><sec id="s5"><title>5. Limitations and Recommendations</title><p>This study has some limitations. In a study by Shariq et al. 2016, HbA1C or glucose-bound glycated hemoglobin is a reliable diagnostic measure for chronic hyperglycemia that correlates with diabetes complications. It has been noted that HbA1C levels are directly proportional to blood glucose levels [<xref ref-type="bibr" rid="scirp.127541-ref18">18</xref>] . However, due to financial constraints, majority of the patients in this study did not undergo HbA1c testing. The determination of HbA1C levels in ESRD patients secondary to DM type II in relation to NLR can be recommended for future prospective studies.</p><p>In conclusion, this observational descriptive, prospective cohort study shows that a high NLR of ≥3.5 is associated with disease occurrence in patients with ESRD secondary to DM nephropathy on maintenance hemodialysis. Thus, it can be used to predict prognosis in these patients.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to express our gratitude to the Kidney Service of Perpetual Succour Hospital, Cebu City section of Nephrology and to all the staff and members of the organization.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>This research is not funded. There were no financial conflicts of interest to disclose.</p></sec><sec id="s8"><title>Cite this paper</title><p>Olores, L.A., Darunday, G., Polito, E. and Maguad, R. (2023) Association between Neutrophil- Lymphocyte Ratio (NLR) and Clinical Outcomes among Filipino Patients with End-Stage Renal Disease (ESRD) Secondary to Diabetic Nephropathy on Maintenance Hemodialysis. Open Access Library Journal, 10: e10465. https://doi.org/10.4236/oalib.1110465</p></sec></body><back><ref-list><title>References</title><ref id="scirp.127541-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Depaynos, T., et al. (2019) Quality of Life among End Stage Renal Disease Patients on Hemodialysis and Peritoneal Dialysis in the National Kidney and Transplant Institute. International Journal of Nephrology and Kidney Failure, 5, 1-8.</mixed-citation></ref><ref id="scirp.127541-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Catabay, C., et al. (2017) Lymphocyte Cell Ratios and Mortality among Incident Hemodialysis Patients. American Journal of Nephrology, 46, 408-416.  
https://doi.org/10.1159/000484177</mixed-citation></ref><ref id="scirp.127541-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Neuen, B.L., et al. (2015) Neutrophil–Lymphocyte Ratio Predicts Cardiovascular and All-cause Mortality in Hemodialysis Patients. Renal Failure, 38, 70-76.  
https://doi.org/10.3109/0886022X.2015.1104990</mixed-citation></ref><ref id="scirp.127541-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">The 2018 Philippine Health Statistics  
https://doh.gov.ph/sites/default/files/publications/2018%20Philippine%20Health%20Statistics.pdf</mixed-citation></ref><ref id="scirp.127541-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Kasper, D., et al. (2015) Harrison’s Principles of Internal Medicine. 19th Edition, McGraw-Hill Education, USA.</mixed-citation></ref><ref id="scirp.127541-ref6"><label>6</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Kato</surname><given-names> S. et al. </given-names></name>,<etal>et al</etal>. (<year>2015</year>)<article-title>Neutrophil/Lymphocyte Ratio: A Promising Prognostic Marker in Patients with Chronic Kidney Disease</article-title><source> Inflammation and Cell Signaling</source><volume> 2</volume>,<fpage> 1</fpage>-<lpage>5</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.127541-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Malhorta, R., et al. (2015). Relationship of Neutrophil-to-Lymphocyte Ratio and Serum Albumin Levels with C-Reactive Protein in Hemodialysis Patients: Results from 2 International Cohort Studies. Nephron, 130, 263-270.  
https://doi.org/10.1159/000437005</mixed-citation></ref><ref id="scirp.127541-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Balta, S., et al. (2016) The Relation between Atherosclerosis and the Neutrophil-Lymphocyte Ratio. Clinical and Applied Thrombosis/Hemostasis, 22, 405-411.  
https://doi.org/10.1177/1076029615569568</mixed-citation></ref><ref id="scirp.127541-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Okyay, G., et al. (2013) Neutrophil to Lymphocyte Ratio in Evaluation of Inflammation in Patients with Chronic Kidney Disease. Renal Failure, 35, 29-36.  
https://doi.org/10.3109/0886022X.2012.734429</mixed-citation></ref><ref id="scirp.127541-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Erdem, E., et al. (2013) Neutrophil to Lymphocyte Ratio in Predicting Short-Term Mortality in Hemodialysis Patients. Journal of Experimental and Clinical Medicine, 30, 129-132.</mixed-citation></ref><ref id="scirp.127541-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Imtiaz, F., et al. (2012) Neutrophil Lymphocyte Ratio as a Measure of Systemic Inflammation in Prevalent Chronic Diseases in Asian Population. International Archives of Medicine, 5, 2.</mixed-citation></ref><ref id="scirp.127541-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Situational Analysis and Priority Setting. Renal Disease Control Program (ReDCoP) Department of Health-Cordillera Administrative Region 2016.</mixed-citation></ref><ref id="scirp.127541-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Soleymanian, T., et al. (2017) Clinical Outcomes and Quality of Life in Hemodialysis Diabetic Patients versus Non-Diabetics. Journal of Nephropathology, 6, 81-89. 
https://doi.org/10.15171/jnp.2017.14</mixed-citation></ref><ref id="scirp.127541-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Turkmen, K., et al. (2012) The Relationship between Neutrophil-to-Lymphocyte Ratio and Inflammation in End-Stage Renal Disease Patients. Renal Failure, 34, 155-159. https://doi.org/10.3109/0886022X.2011.641514</mixed-citation></ref><ref id="scirp.127541-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Li, H., et al. (2017) High Neutrophil-to-Lymphocyte Ratio Predicts Cardiovascular Mortality in Chronic Hemodialysis Patients. Mediators Inflammation, 2017, Article ID: 9327136. https://doi.org/10.1155/2017/9327136</mixed-citation></ref><ref id="scirp.127541-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Body Mass Index (BMI) Classification by World Health Organization (WHO).  
https://www.who.int/europe/news-room/fact-sheets/item/a-healthy-lifestyle---who-recommendations</mixed-citation></ref><ref id="scirp.127541-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Tingting, X., et al. (2017) The Relationship between Neutrophil-to-Lymphocyte Ratio and Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus. Medicine (Baltimore), 96, e8289. https://doi.org/10.1097/MD.0000000000008289</mixed-citation></ref><ref id="scirp.127541-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Sherwani, S.I., et al. (2016) Significance of HbA1C Test in Diagnosis and Prognosis of Diabetic Patients. Biomarker Insights, 11, 95-104.  
https://doi.org/10.4137/BMI.S38440</mixed-citation></ref></ref-list></back></article>