{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:33:28Z","timestamp":1787031208617,"version":"build-2736575974"},"reference-count":0,"publisher":"African Journals Online (AJOL)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Afr H. Sci."],"abstract":"<jats:p>Background: Preterm birth causes over 2% of perinatal mortality in Africa. Screening in prenatal clinics, may be used to identify women at risk. This study developed and validated second-trimester prediction models of preterm birth, using maternal socio-demographic characteristics, sonographic findings, and laboratory parameters in Northern Uganda.\r\nMethods: This prospective cohort study recruited 1,000 pregnant mothers at 16 - 24 weeks, and assessed their socio-demographic and clinical characteristics. Preterm birth (delivery after 28 and before 37 weeks) was the primary study outcome. Multi-variable analyses were performed, built models in RStudio, and cross-vaidated them using K (10)-fold cross-validation.\r\nResults: The Incidence of preterm birth was 11.9% (90 out of 774). The predictors of preterm birth were multiple pregnancies, personal history of preeclampsia, history of previous preterm birth, diastolic hypertension, serum ALP&lt;98IU, white blood cell count &gt;11000 cells\/\u03bcl, platelet lymphocyte ratio &gt;71.38, serum urea of 11-45 IU. These predicted preterm birth by 69.5% AUC, with 62.4% accuracy, 77.2% sensitivity, and 47.1% specificity.\r\nConclusion: Despite low specificity, these models predict up to 77.2% of those destined to have a preterm birth, and may be used for second-trimester preterm birth screening in low-resource clinics.\r\nKeywords: Prediction; second-trimester; preterm-birth; Uganda; Africa.<\/jats:p>","DOI":"10.4314\/ahs.v24i2.31","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T05:59:01Z","timestamp":1721282341000},"page":"283-292","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of preterm birth at St. Mary\u2019s Hospital Lacor, Northern Uganda: a prospective cohort study"],"prefix":"10.4314","volume":"24","author":[{"given":"Silvia","family":"Awor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosemary","family":"Byanyima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benard","family":"Abola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annettee","family":"Nakimuli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Orach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Kiondo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jasper","family":"Ogwal Okeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Kaye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2895","published-online":{"date-parts":[[2024,7,11]]},"container-title":["African Health Sciences"],"original-title":[],"link":[{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/273625\/258330","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/273625\/258330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T05:59:33Z","timestamp":1721282373000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/view\/273625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,11]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,7,11]]}},"URL":"https:\/\/doi.org\/10.4314\/ahs.v24i2.31","relation":{},"ISSN":["1729-0503","1680-6905"],"issn-type":[{"value":"1729-0503","type":"electronic"},{"value":"1680-6905","type":"print"}],"subject":[],"published":{"date-parts":[[2024,7,11]]}}}