{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:31:31Z","timestamp":1787758291039,"version":"build-2784847793"},"reference-count":28,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>An efficient, comprehensive emergency obstetrics care (CEMOC) can considerably reduce the burden of maternal mortality (MM) in Nigeria. Information about the risk of maternal death within 120 h of admission can reflect the quality of CEMOC offered.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>This study aims to determine the predictors and causes of maternal death within 120 h of admission at the Lagos University Teaching Hospital, LUTH, Lagos South-Western, Nigeria.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We conducted a retrospective cohort study amongst consecutive maternal deaths at a hospital in South-Western Nigeria, from 1 January 2007 to 31 December 2017, using data from patients' medical records. We compared participants that died within 120 h to participants that survived beyond 120 h. Survival life table analysis, Kaplan\u2013Meier plots and multivariable Cox proportional hazard regression were conducted to evaluate the factors affecting survival within 120 h of admission. Stata version 16 statistical software (StatCorp USA) was used for analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Of the 430 maternal deaths, 326 had complete records. The mean age of the deceased was 30.7\u00b1 (5.9) years and median time to death was 24 (5\u201396) h. Two hundred and sixty-eight (82.2%) women out of 326 died within 120 h of admission. Almost all maternal deaths from uterine rupture (95.2%) and most deaths from obstetric haemorrhage (87.3%), induced miscarriage (88.9%), sepsis (82.9%) and hypertensive disorders of pregnancy (77.9%) occurred within 120 h of admission. Admission to the intensive care unit (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.007), cadre of admitting doctor (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), cause of death (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.036) and mode of delivery (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.012) were independent predictors of hazard of death within 120 h.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The majority (82.2%) of maternal deaths occurred within 120 h of admission. Investment in the prevention and acute management of uterine rupture, obstetric haemorrhage, sepsis and hypertensive disorders of pregnancy can help to reduce MM within 120 h in our environment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/npmj.npmj_180_22","type":"journal-article","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T22:58:19Z","timestamp":1666825099000},"page":"325-333","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Predictors and Causes of In-Hospital Maternal Deaths within 120 h of Admission at a Tertiary Hospital in South-Western, Nigeria"],"prefix":"10.4103","volume":"29","author":[{"given":"Joseph Ayodeji","family":"Olamijulo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gbenga","family":"Olorunfemi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Halimat","family":"Osman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R1-7-20240908","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/S0140-6736(15)00838-7","article-title":"Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: A systematic analysis by the UN Maternal Mortality Estimation Inter-Agency group","volume":"387","author":"Alkema","year":"2016","journal-title":"Lancet"},{"key":"R3-7-20240908","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1186\/s13104-017-2817-0","article-title":"A retrospective analysis of trends in maternal 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