<?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">OJBD</journal-id><journal-title-group><journal-title>Open Journal of Blood Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-3180</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojbd.2020.101002</article-id><article-id pub-id-type="publisher-id">OJBD-98636</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>
 
 
  Systematic Screening of Neonatal Sickle Cell Disease with HemoTypeSC&lt;sup&gt;TM&lt;/sup&gt; Kit-Test: Case Study and Literature Review
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Emmanuel</surname><given-names>Tebandite Kasai</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>Fran&amp;ccedil;ois</surname><given-names>Boemer</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>Roland</surname><given-names>Marini Djang’eing’a</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Justin</surname><given-names>Kadima Ntokumunda</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Salomon</surname><given-names>Batina Agasa</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nestor</surname><given-names>Ngbonda Dauly</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>Jean</surname><given-names>Pierre Alworong’a Opara</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Pediatrics, Kisangani University Clinics, Faculty of Medicine and Pharmacy, University of Kisangani, 
Kisangani, DR-Congo</addr-line></aff><aff id="aff5"><addr-line>Department of Internal Medicine, Kisangani University Clinics, Faculty of Medicine and Pharmacy, University of Kisangani, Kisangani, DR-Congo</addr-line></aff><aff id="aff2"><addr-line>Biochemical Genetics Laboratory, Human Genetics, CHU of Liege, University of Liège, Liège, Belgium</addr-line></aff><aff id="aff4"><addr-line>Department of Pharmacy, School of Medicine and Pharmacy, University of Rwanda, Rwanda</addr-line></aff><aff id="aff3"><addr-line>Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Kisangani, Kisangani, DR-Congo</addr-line></aff><pub-date pub-type="epub"><day>22</day><month>01</month><year>2020</year></pub-date><volume>10</volume><issue>01</issue><fpage>12</fpage><lpage>21</lpage><history><date date-type="received"><day>3,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>28,</day>	<month>February</month>	<year>2020</year>	</date><date date-type="accepted"><day>2,</day>	<month>March</month>	<year>2020</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>
 
 
  emoTypeSC™ test is a new cheap, faster, and appropriate screening method for neonatal diagnosis of sickle cell disease. The literature reports a few cases of its applicability. This study extends the cases study and reviews the available literature. The sample consisted of 99 subjects, including 87 newborns (36 girls and 51 boys; 1.9 - 4.9 kg BW) sampled among 566 babies bone at six hospitals in Kisangani city (Democratic Republic of Congo) during March-April 2019; height infant-adolescents (&lt;18 years); and four adults. Duplicate blood samples of 75 newborns, spotted on filter paper, were transferred to Li&#232;ge in Belgium for LC-MS test confirmation. Of 99 subjects, 74.74% tested HbAA, 24.26% HbAS and 1% HbSS. The prevalence of HbAS compared to the HbAA phenotype was 15/60 (20%) by HemoTypeSC™ and 14/61 (18.7%) by LC-MS. The concordance between the two methods was 98.3% or a discordance of 1.7%. The findings support the validity of the HemoTypeSC™ test as a sensitive, specific point of care test, cheap and reliable for poor African populations.
 
</p></abstract><kwd-group><kwd>Sickle Cell Disease</kwd><kwd> Hemoglobin Phenotype</kwd><kwd> HemoTypeSC&amp;trade;</kwd><kwd> Neonates</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Sickle cell disease (SCD) is an autosomal recessive inherited hemoglobinopathy due to the substitution of glutamic acid by valine at the sixth amino acid in the β-globin chain [<xref ref-type="bibr" rid="scirp.98636-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.98636-ref6">6</xref>] . The resulting abnormal hemoglobin (HbS) is poorly soluble and rapidly polymerizes when deoxygenated [<xref ref-type="bibr" rid="scirp.98636-ref2">2</xref>] . SCD is probably the first genetic disease in the world [<xref ref-type="bibr" rid="scirp.98636-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref7">7</xref>] and one of the most common high-prevalence hemoglobinopathies in sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.98636-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref8">8</xref>] .</p><p>Although data on child mortality are not widely available today, several authors report that 50% to 90% of sickle cell children die before the age of 5, undiagnosed [<xref ref-type="bibr" rid="scirp.98636-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref10">10</xref>] . There is a consensus that early diagnosis of SCD in neonates is necessary for initial management [<xref ref-type="bibr" rid="scirp.98636-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] . In many resource-rich areas, universal neonatal screening programs associated with prophylactic interventions have significantly reduced SCD morbidity and mortality in the first 20 years of patients’ life [<xref ref-type="bibr" rid="scirp.98636-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref14">14</xref>] . However, in sub-Saharan Africa and central India, where more than 90% of sickle-cell births occur, neonatal screening programs are not systematically applied, if at all, mainly because of the cost and logistical burden of laboratory diagnostic tests [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] .</p><p>There are many rapid tests also called Point of care (POC) rapid tests on the market with bedside results (SickleScan, HemoTypeSC<sup>TM</sup>, and Sickledex) [<xref ref-type="bibr" rid="scirp.98636-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref15">15</xref>] and others are quite robust but do not give immediate results (capillary electrophoresis, high-performance liquid chromatography (HPLC), mass spectrometry (MS) and PCR polymerase chain reaction) [<xref ref-type="bibr" rid="scirp.98636-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref15">15</xref>] . There are intermediate tests such as the Lamp Human Hemoglobin S &amp; C mutation Kit (LaCAR), which have demonstrated their effectiveness in the diagnosis of hemoglobinopathies. However, these tests are not as fast as the first ones [<xref ref-type="bibr" rid="scirp.98636-ref6">6</xref>] . Rapid tests exploit either solubility properties of HbS and the cell density, or immunological approaches [<xref ref-type="bibr" rid="scirp.98636-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref16">16</xref>] . All POC rapid tests have the advantage of saving time in terms of results and facilitating application in rural areas without electricity or qualified personnel [<xref ref-type="bibr" rid="scirp.98636-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] . Several studies report that robust tests are available in high-income countries where they are considered worldwide as a “gold standard” for the diagnosis of sickle cell disease [<xref ref-type="bibr" rid="scirp.98636-ref18">18</xref>] . Their sensitivities and specificities have been studied and evaluated at 100% [<xref ref-type="bibr" rid="scirp.98636-ref18">18</xref>] . Nevertheless, all these studies recognize some of the weaknesses of these robust technologies for implementing them in Africa [<xref ref-type="bibr" rid="scirp.98636-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref18">18</xref>] .</p><p>HemoTypeSC<sup>TM</sup> is a competitive side-flow immunoassay that uses monoclonal antibodies to detect hemoglobin A, S, and C in a 1.5 μL whole blood sample [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref17">17</xref>] . HemoTypeSC<sup>TM</sup> provides point-of-care determination of hemoglobin phenotypes HbAA (normal), HbSS and HbSC (sickle cell disease), HbCC (hemoglobin C disease), and HbAS and HbAC (carrier or trait). It does not detect other hemoglobin variants (such as Hb D or E), these variants will give the same result as Hb A. Its diagnostic accuracy oscillates around 99 or even 100% when performed on a sample containing more than 80% of HbF [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref17">17</xref>] . In January 2018, HemoTypeSC<sup>TM</sup> was utilized at Holy Family Hospital in Techiman, Ghana, to screen over 400 newborns, infants, children, and adults for hemoglobins A, S, and C. All 14 carriers of hemoglobin C were successfully identified. The multicentric study by Steele et al. [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] and that of Charles Quinn [<xref ref-type="bibr" rid="scirp.98636-ref17">17</xref>] indicate that only the HemoTypeSC<sup>TM</sup> remains the rapid test mentioned for neonatal screening [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] .</p><p>While all these considerations point to the use of simple, rapid, inexpensive, and easy-to-use diagnostic tools [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] , the clinical evaluation of these tests remains necessary in many African countries. In the Democratic Republic of Congo (DRC), neonatal screening for sickle cell disease is not a common practice due to a lack of adequate infrastructure [<xref ref-type="bibr" rid="scirp.98636-ref19">19</xref>] . Only a few centers in Kinshasa or Lubumbashi practice it [<xref ref-type="bibr" rid="scirp.98636-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref20">20</xref>] . In Kisangani, updated data on neonatal screening for sickle cell disease are not available due to a lack of appropriate diagnostic tools [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref15">15</xref>] . The available SickleSCAN assay (Biomedomics, Inc., Research Triangle Park, North Carolina) is better for screening beyond the age of 6 months and not before this period because of a high concentration of fetal hemoglobin (HbF) in the newborn’s blood that would interfere with the outcome of this test [<xref ref-type="bibr" rid="scirp.98636-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref21">21</xref>] .</p><p>To implement a systematic neonatal diagnosis, we designed this preliminary study to explore the possibility of using HemoTypeSC<sup>TM</sup> as a systematic neonatal screening method in the Kisangani environment.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Design and Sample</title><p>To test the applicability of the test HemoTypeSC<sup>TM</sup> for the detection of SCD in the Kisangani case, we gathered 99 subjects, including 87 newborns, height infant-adolescents, and four adults apparently without a history of HbSS. The newborns were a random sample from 566 babies born in March-April 2019 in 6 maternity wards of general referral hospitals (GRH) and private clinics (CS) located in different heath zones: Makiso-Kisangani (GRH, CS IMANI, CS Clinic Stanley), Tshopo (GRH), and Kabondo (GRH, CS Clinic Saint Camille). We considered 15% HbAS prevalence and 95% precision.</p><p>N = 1.96 2 ∗ 0.15 ∗ 0.85 0.05 2 (1)</p><p>Adjustment for 566 births in two weeks gave around 100 subjects.</p><p>Neonates transfused during the study period, and those whose mothers did not consent to participate did not enter the study. We collected blood samples in duplicate, and one part tested immediately on the point of care with HemoTypeSC<sup>TM</sup> immunoassay (Hemotype, AZUSA, CA, USA). The other samples part from neonates, adsorbed on filter paper (Whatman 903), were taken to the laboratory of the Centre Hospitalier Universitaire (CHU) of the University of Liege in Belgium to validate the result by Liquid chromatography-Mass spectroscopy (LC-MS) method.</p></sec><sec id="s2_2"><title>2.2. Ethical Consideration</title><p>The ethics committee of the University of Kisangani approved the study, Ref. UNIKIS/CER/005/2018. Parents of the children included in the study gave informed consent.</p></sec><sec id="s2_3"><title>2.3. Procedures for HemoTypeSC<sup>TM </sup></title><p>Following the manufacturer’s instructions (<xref ref-type="fig" rid="fig1">Figure 1</xref>), a sample of 1.5 μL of blood was collected by a puncture in the heel from the neonates or in the finger from adults using a thin needle (lancet) regularly used locally for the blood sample.</p><p>1) Using Dropper Pipette, add six drops of water to Test Vial. Place Test Vial in a compatible rack. 2) Open Vial of Blood Sampling Devices, remove one Blood Sampling Device and reclose Vial. Obtain blood sample, a small drop is sufficient (1 to 2 microliters). Touch the white pad of the Blood Sampling Device to the blood sample, until the white pad absorbs the blood droplet. Ensure that the entire white pad has turned red. 3) Insert Blood Sampling Device into Test Vial water and swirl to mix (Check visually to ensure that water has become pink or light-red in color). 4) Open Vial of Test Strips, remove one Test Strip and reclose Vial. Insert HemoTypeSC<sup>TM</sup> Test Strip into Test Vial with arrows pointing down. 5) Wait 10 minutes. 6) Take HemoTypeSC<sup>TM</sup> Test Strip out of the Test Vial and read results. Compare Test Strip to Results Chart on the reverse side of this document for reference.</p></sec><sec id="s2_4"><title>2.4. Procedures for LC-MS Method</title><p>In Belgium, they used the TQ5500 triple quadrupole mass spectrometer source (Sciex) system (AB Sciex, Njeuwerkerkaan den Ijssel, Netherlands) for LC-MS analysis following the manufacturer’s technical specifications as described elsewhere [<xref ref-type="bibr" rid="scirp.98636-ref22">22</xref>] . Briefly, the blood samples are desorbed from the disc by gentle rotation with 200 &#181;L deionized water for one hour in 90 microplates and then 100 &#181;L of each plate transferred to fresh microplates. Following a 10 minutes’ denaturation step with ACN 17 &#181;L) and 1% aqueous formic acid (17 &#181;L), proteins are</p><p>treated overnight with 10 &#181;L of a TCPK-treated trypsin solution. After centrifugation and incubation at 37˚C, 20 &#181;L of the digested solution is diluted with 180 &#181;l of ACN/deionized water (1:1) with formic acid 0.1% and centrifuged again. This working solution is ready for injection into ACN: H<sub>2</sub>O (50:50) with 0.1% formic acid mobile phase in Waters Acquity-UPLC system and directly introduced into the source without prior chromatographic separation.</p><p>The MS analysis operated in the multiple reaction monitoring (MRM) mode, with total acquisition time 60 seconds. The first tryptic peptide of the β globin chain (T1β) was analyzed to identify HbS and HbC variants while the twelfth tryptic peptide of the δ-globin chain (T12g) was selected to check the efficiency of digestion and to calculate HbA/HbF ratio. For each peptide, the system acquires four transitions and calculates cumulated MRM ratios variant/HbA, which allows Phenotype classification.</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>We compared results from HemoTypeSC<sup>TM</sup> and LC-MS methods to measure the concordance between the two, using a paired t-test with 0.05 precision. The demographic characteristics concerning gender, time of birth, and weight of neonates were determined to anticipate the potential influence on the prevalence of HbAS and the discordance between the two methods with ANOVA.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Phenotyping with HemoTypeSC<sup>TM</sup></title><p><xref ref-type="table" rid="table1">Table 1</xref> shows that out of 99 cases examined, 74 (74.75%) were HbAA, 24 (24.24%) HbAS and 1 (1.01%) HbSS. All cases combined, males represented 52.53% and females 47.47%. The unique case of HbSS was a male adolescent.</p></sec><sec id="s3_2"><title>3.2. Phenotyping of 75 Neonates with HemoTypeSC<sup>TM</sup> and LC-MS</title><p><xref ref-type="table" rid="table2">Table 2</xref> shows that of 75 cases compared, only 1 case was discordant. The specificity of HemoTypeSC<sup>TM</sup> is roughly about 96.3% - 98.3%, and the accuracy 100%, with an expected error of 1.7%, compared to LC-MS. We anticipated factors that</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Phenotyping of the global sample with HemoTypeSC<sup>TM</sup></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age</th><th align="center" valign="middle" >Gender</th><th align="center" valign="middle"  colspan="2"  >HbAA</th><th align="center" valign="middle"  colspan="2"  >HbAS</th><th align="center" valign="middle"  colspan="2"  >HbSS</th><th align="center" valign="middle"  colspan="2"  >Total</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Neonate</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >27.27</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.10</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >36.27</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >40.40</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11.11</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >51.52</td></tr><tr><td align="center" valign="middle" >Infant</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.05</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.16</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.01</td></tr><tr><td align="center" valign="middle" >Adult</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.02</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.04</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >74.75</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >24.24</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Concordance between HemoTypeSC<sup>TM</sup> (HTSC) and LC-MS (LCMS) results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >HemoTypeSC<sup>TM </sup></th><th align="center" valign="middle"  colspan="2"  >LC-MS</th><th align="center" valign="middle" >Discordance</th></tr></thead><tr><td align="center" valign="middle" >Covariates</td><td align="center" valign="middle" >Categories</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >HbAA</td><td align="center" valign="middle" >HbAS</td><td align="center" valign="middle" >HbAA</td><td align="center" valign="middle" >HbAS</td><td align="center" valign="middle" >HTSC-LCMS</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >All categories</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >60 (80.0)</td><td align="center" valign="middle" >15 (20.0)</td><td align="center" valign="middle" >61 (81.3)</td><td align="center" valign="middle" >14 (18.7)</td><td align="center" valign="middle" >1/75</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >24 (80.0)</td><td align="center" valign="middle" >6 (20.0)</td><td align="center" valign="middle" >24 (80.0)</td><td align="center" valign="middle" >6 (20.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >36 (80.0)</td><td align="center" valign="middle" >9 (20.0)</td><td align="center" valign="middle" >37 (81.3)</td><td align="center" valign="middle" >8 (17.8)</td><td align="center" valign="middle" >1/45</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Delivery</td><td align="center" valign="middle" >Term</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >42 (76.4)</td><td align="center" valign="middle" >13 (23.6)</td><td align="center" valign="middle" >43 (78.2)</td><td align="center" valign="middle" >12 (21.8)</td><td align="center" valign="middle" >1/55</td></tr><tr><td align="center" valign="middle" >Pre Term</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >15 (88.2)</td><td align="center" valign="middle" >2 (11.8)</td><td align="center" valign="middle" >15 (88.2)</td><td align="center" valign="middle" >2 (11.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Post Term</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3 (100)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >3 (100)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Weight</td><td align="center" valign="middle" >1.9 - 3 kg</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >24 (41.8)</td><td align="center" valign="middle" >13 (48.2)</td><td align="center" valign="middle" >25 (45.6)</td><td align="center" valign="middle" >12 (44.4)</td><td align="center" valign="middle" >1/27</td></tr><tr><td align="center" valign="middle" >3.1 - 3.9 kg</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >27 (94.9)</td><td align="center" valign="middle" >2 (5.1)</td><td align="center" valign="middle" >27 (94.9)</td><td align="center" valign="middle" >2 (5.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >4 - 4.9 kg</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9 (100)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >9 (100)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>could predict the positivity of HbAS, such as sex, the timing of delivery, and newborn weight. It is evident that those factors do not predict the status but can perhaps affect the specificity of the test. The discordant subject was a male, born at term, weighing less than 3 kg. No statistical differences were found (p &gt; 0.05).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>According to the literature point of view, the value of neonatal screening is the early detection of newborns with HbSS to receive penicillin prophylaxis between 2 - 3 months, preferably before the onset of SCD symptoms [<xref ref-type="bibr" rid="scirp.98636-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref24">24</xref>] and immunization with the vaccine against encapsulated germs and mostly the pneumococcal vaccine [<xref ref-type="bibr" rid="scirp.98636-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref25">25</xref>] .</p><p>Satellite studies conducted in the DRC between 2007 and 2018 [<xref ref-type="bibr" rid="scirp.98636-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref26">26</xref>] found 18.7% - 20% of SCD in neonates, close to our results in Kisangani by HemoTypeSC<sup>TM</sup>. Batina [<xref ref-type="bibr" rid="scirp.98636-ref25">25</xref>] found 23.3% in Kisangani in 2007 with another method; Shongo [<xref ref-type="bibr" rid="scirp.98636-ref4">4</xref>] found 15.6% in Lubumbashi, and Tshilolo [<xref ref-type="bibr" rid="scirp.98636-ref27">27</xref>] 16.9% in 2008. The prevalence of HbSS in this study was 1% for the small sample examined. One percent for a population of 100,000 people will be at least 1000 children suffering SCD. The best-recommended strategy to curve the tendencies of SCD in a population is counseling HbAS carriers not getting married between them. Thus, testing should also concern all adolescents before marriage. There is, therefore, a need for availing simple, specific, and sensitive testing methods.</p><p>The specificity of a clinical test refers to the ability of the test to exclude the event from unaffected subjects [<xref ref-type="bibr" rid="scirp.98636-ref24">24</xref>] . The multicenter study conducted by Cindy Steele et al. [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] showed the sensitivity and specificity of HemoTypeSC<sup>TM</sup> greater than 99%, which led the authors to qualify this test for neonatal screening of SCD. In Uganda, Nankanja et al. [<xref ref-type="bibr" rid="scirp.98636-ref28">28</xref>] emphasized that the value of sensitivity, specificity, positive, and negative value of HemoTypeSC<sup>TM</sup> is around 100%. The concordance in 98.3% of cases or 1.7% of discordance between HemoTypeSC<sup>TM</sup> and LC-MS method in our study supports the literature reports even though accuracy, positive and negative values of HemoTypeSC<sup>TM</sup> could not be provided here since the objective was not to validate a method (we did not use control samples). We added specificity and sensitivity in comparison with LC-MS result. This test falsely diagnosed a patient as sick when he was not, but a double check by HemoTypeSC<sup>TM</sup> would have been necessary to re-check the accuracy.</p><p>We anticipated factors that could predict the positivity of HbAS, such as sex, the timing of delivery, and newborn weight. It is evident that those factors do not predict the status but can perhaps affect the specificity of the test.</p><p>Other rapid tests exist, like Sickle SCAN and Sickledex, but they are not effective in neonates [<xref ref-type="bibr" rid="scirp.98636-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.98636-ref21">21</xref>] . The study by Luke et al. [<xref ref-type="bibr" rid="scirp.98636-ref19">19</xref>] reports that SickleSCAN<sup>TM</sup> was able to simultaneously detect SCD and anemia in children less than 21 years of age, while it was less valid in the newborns. The simplicity of HemoTypeSC<sup>TM</sup> lies in the fact that the blood sample is taken from the soles of the feet of newborns. Venous blood is not ideal in these cases. In this regard, Nanjela [<xref ref-type="bibr" rid="scirp.98636-ref24">24</xref>] emphasizes that venous blood collection for neonatal screening is not perfect, especially for the testing of patients with SCD. The concept that capillary blood, obtained by stinging on the heel or finger and transferred to a filter paper, is the best method to use for detecting metabolic diseases in large populations of newborns, was introduced in Scotland by Guthrie and Susie since 1963 [<xref ref-type="bibr" rid="scirp.98636-ref12">12</xref>] . As a result, newborn blood samples have been regularly collected in many countries to detect many disorders, including SCD, which makes HemoTypeSC<sup>TM</sup> the best “point of care” test for neonatal screening in poor populations.</p><p>Currently, HemoTypeSC<sup>TM</sup> is an inexpensive test than other known POC tests, making it the cheapest known test nowadays. Both the study conducted by Cindy Steele et al. [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] and by Nankanja R et al. [<xref ref-type="bibr" rid="scirp.98636-ref28">28</xref>] confirmed the POC HemoTypeSC<sup>TM</sup> as inexpensive, competitive lateral-flow immunoassay test because the straightforward design of this test leads to an end-user cost less than $2 per test [<xref ref-type="bibr" rid="scirp.98636-ref11">11</xref>] .</p><p>The reading of the test by the newborn’s mother was consistent with that of the test performer. This conformity of the result as well by the mother as by the investigator denotes the ease of realization of the test, even by an inexperienced person. Given the diagnostic accuracy of HemoTypeSC<sup>TM</sup>, this test also remains the cheapest.</p><p>The limitations of the study are the sample size and the fact that there was only one case of HbSS. That could not allow performing rigorous statistics.</p></sec><sec id="s5"><title>5. Conclusion</title><p>HemoTypeSC<sup>TM</sup> is a sensitive and specific point of care test which would open the neonatal screening program of sickle cell disease for resource-poor countries. This test is adapted to the tropical climatic conditions and doesn’t need the use of electricity; that could be a solution for Kisangani because it is rapid, cheap, and reliable. For these reasons, we aim to widespread this pilot study to all of the hospitals in Kisangani for systematic newborn screening in the short future time.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank all newborns’ mothers and maternity wards staff from Makiso-Kisangani General Referral Hospital, Health Center IMANI, Clinic Stanley, Tshopo General Referral hospital, Kabondo General Referral Hospital, and Health Center Saint Camille for their collaboration. The study is part of the PRD-2018-DREPAKIS project financed by Academy of Research and Higher Education in Belgium (ARES-CCD).</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Kasai, E.T., Boemer, F., Djang’eing’a, R.M., Ntokumunda, J.K., Agasa, S.B., Dauly, N.N. and Opara, J.P.A. (2020) Systematic Screening of Neonatal Sickle Cell Disease with HemoTypeSC<sup>TM</sup> Kit-Test: Case Study and Literature Review. Open Journal of Blood Diseases, 10, 12-21. https://doi.org/10.4236/ojbd.2020.101002</p></sec></body><back><ref-list><title>References</title><ref id="scirp.98636-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Eller, R. and da Silva, D.B. (2016) Evaluation of a Neonatal Screening Program for Sickle-Cell Disease. 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