A carefully classified dataset of perinatal mortality will retain the most significant information on the causes of death. Such information is needed for health care policy development, surveillance and international comparisons, clinical services and research. For comparability purposes, we propose a classification system that could serve all these needs, and be applicable in both developing and developed countries. It is developed to adhere to basic concepts of underlying cause in the International Classification of Diseases (ICD), although gaps in ICD prevent classification of perinatal deaths solely on existing ICD codes.We tested the Causes of Death and Associated Conditions (Codac) classification for perinatal deaths in seven populations, including two developing country settings. We identified areas of potential improvements in the ability to retain existing information, ease of use and inter-rater agreement. After revisions to address these issues we propose Version II of Codac with detailed coding instructions.The ten main categories of Codac consist of three key contributors to global perinatal mortality (intrapartum events, infections and congenital anomalies), two crucial aspects of perinatal mortality (unknown causes of death and termination of pregnancy), a clear distinction of conditions relevant only to the neonatal period and the remaining conditions are arranged in the four anatomical compartments (fetal, cord, placental and maternal).For more detail there are 94 subcategories, further specified in 577 categories in the full version. Codac is designed to accommodate both the main cause of death as well as two associated conditions. We suggest reporting not only the main cause of death, but also the associated relevant conditions so that scenarios of combined conditions and events are captured.The appropriately applied Codac system promises to better manage information on causes of perinatal deaths, the conditions associated with them, and the most common clinical scenarios for future study and comparisons.
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http://dx.doi.org/10.1186/1471-2393-9-22 | DOI Listing |
Transl Androl Urol
December 2024
Department of Pathology, Pediatric and Perinatal Pathology, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Anabolic-androgenic steroids (AAS) are synthetic derivatives of testosterone. Sustanon, dissolved in peanut oil, is an AAS used by athletes to build muscle mass. This study aims to examine the effects of Sustanon on male reproductive health.
View Article and Find Full Text PDFZ Geburtshilfe Neonatol
January 2025
Department of Obstetrics and Gynecology, Sichuan University West China Second University Hospital, Chengdu, China.
Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disease characterized by pruritus and elevated total bile acid (TBA) levels. The most serious impact of ICP is sudden unexplained intrauterine fetal death, especially when an associated TBA ≥ 100 µmol/L is confirmed.We report a case of a 27-year-old female patient with early-onset severe refractory ICP.
View Article and Find Full Text PDFArch Public Health
January 2025
Department of Maternity and Neonatal Nursing, School of Nursing, College of Health Sciences, Comprehensive Specialized Hospital, Aksum University, Aksum, Tigray, Ethiopia.
Background: A preterm neonate is defined by the World Health Organization as a child delivered before 37 weeks of gestation. In low- and middle-income countries, including Ethiopia, preterm-related complications are serious health problems due to increases in the mortality and morbidity of newborns and children under 5 years of age. The aim of this study was to assess the time to neonatal mortality and its predictors among preterm neonates admitted to the neonatal intensive care unit in northern Ethiopia, 2023/2024.
View Article and Find Full Text PDFHealth Serv Res
January 2025
School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Objective: To estimate associations between Wisconsin Medicaid's Prenatal Care Coordination (PNCC) program and infant mortality.
Data Sources And Study Setting: We analyzed birth records, Medicaid claims, and infant death records for all resident and in-state Medicaid-paid live deliveries during 2010-2018.
Study Design: We measured PNCC exposure during pregnancy dichotomously (none; any) and categorically (none; assessment/care plan only; service receipt).
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