{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T07:53:14Z","timestamp":1791359594233,"version":"4.3.1"},"reference-count":71,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":328,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BioMed Research International"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p><jats:italic>Background.<\/jats:italic> Neonatal sepsis is a leading cause of morbidity and mortality in low\u2010and middle\u2010income countries (LMICs). There are several sophisticated biomarkers; however, they are still insufficient in precision. In this perspective, our study aims to search for a pragmatic diagnostic biomarker in the age category. <jats:italic>Methods.<\/jats:italic> A cross\u2010sectional study was conducted over six months(April\u2010September 2018). All neonates with a diagnosis of probable sepsis were included. Logistic regression analysis of demographic variables was done to elucidate any association with confirmed sepsis cases. The median with interquartile range (IQR)] and mean with standard deviation (SD) were calculated, and then compared. The area under the receiver operating characteristic curve (AUROC) of the commonly opted biomarker tests [distribution width of red blood cells (RDW) and platelets(PDW), mean platelet volume(MPV), C\u2010reactive protein (CRP), erythrocyte sedimentation rate (ESR)] was compared to the culture\u2010confirmed case. <jats:italic>Results.<\/jats:italic> Of the 171 suspected sepsis subjects, we discovered a significant burden of newborn sepsis, with 18.7% of cases being culture\u2010confirmed. 66 Early\u2010onset sepsis(EOS) and 105 Late\u2010onset sepsis(LOS) probable sepsis cases were enrolled. A higher incidence was revealed among male infants 24(14%) compared to females 8(4.7%). On logistic regression analysis, preterm birth [odds ratio (OR): 10.9, 95% confidence interval (CI): 4.5\u201026.9] and low birth weight (OR: 6.5, 95% CI: 2.4\u201017.9) were significantly associated. Coagulase\u2010negative Staphylococcus aureus (CoNS) (n\u2009=6) among gram\u2010positive, and <jats:italic>Pseudomonas aeruginosa<\/jats:italic> (n\u2009=6) was among gram\u2010negative, were the leading etiologies. <jats:italic>Escherichia coli<\/jats:italic> (n\u2009=3) was the predominant bacteria in EOS subjects, while <jats:italic>Pseudomonas aeruginosa<\/jats:italic> (n\u2009=6) among LOS. Median interquartile range(IQR): platelet count 144.5(99\u2010192), red cell distribution width 18(16.9\u201020), CRP 6(3\u201018.3); and mean\u2009\u00b1\u2009SD: MPV (11.7\u2009\u00b1\u20091.7); PDW (15.2\u2009\u00b1\u20093.5) were attained, among confirmed cases. The AUROC, of biomarker tests was attained in the order: PDW(0.86)\u2009&gt;\u2009MPV(0.81)\u2009&gt;\u2009RDW(0.76)\u2009&gt;\u2009CRP(0.67)\u2009&gt;\u2009ESR(0.59); similarly, the cut\u2010off order was &gt;11.2, &gt;10.4, &gt;16.8, &gt;2.9, &gt;4.5, respectively. <jats:italic>Conclusions.<\/jats:italic> Our finding shows an increment in the width and volume of RBCand platelet: RDW, MPV, and PDW have a diagnostic role in neonatal sepsis.<\/jats:p>","DOI":"10.1155\/2022\/5166380","type":"journal-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T21:48:12Z","timestamp":1669412892000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Economic and Diagnostic Biomarker Tests of Neonatal Sepsis: A Prospective Study from a Tertiary Care Hospital in a Low\u2010Income Country"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1525-8130","authenticated-orcid":false,"given":"Priyatam","family":"Khadka","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Govinda","family":"Maharjan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ganesh","family":"Chapagain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"JanukaThapaliya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prakash","family":"Paudyal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"e_1_2_15_1_2","doi-asserted-by":"publisher","DOI":"10.1136\/archdischild-2020-320217"},{"key":"e_1_2_15_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(05)71881-X"},{"key":"e_1_2_15_3_2","volume-title":"Interagency Group for Child Mortality Estimation. 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