Surviving Severe Obstetric Complications: A Population-Based Analysis of Maternal near Miss
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Pregnancies tend to progress without any serious complications. Nonetheless, for a subset of women, obstetric complications may develop, ranging in severity. The most critical of these life-threatening events is referred to as Maternal Near Miss (MNM). To identify the epidemiological and obstetric characteristics, as well as clinical outcomes of MNM cases reported over the year 2021 in the Brazilian state of Paraná. This quantitative, population-based study analyzed 888 notifications that occurred in 2021, obtained from the MNM Notification System. Descriptive statistics and a one-sample Chi-square goodness-of-fit test were applied to the data. Among the women reported, 92.6% were pregnant, the mean age was 29 years, 67.1% identified as white, and 45.2% had preexisting health conditions. Regarding obstetric characteristics, 41.6% were classified as high-risk pregnancies, but nearly one-third (32.3%) of MNM cases occurred in women initially classified as usual risk. The clinical worsening event occurred most frequently during the third trimester (71.9%), and emergency cesarean section was indicated in 60.1% of cases with complete information for this variable. Cesarean delivery predominated over vaginal delivery, with an emergency-to-elective cesarean ratio of approximately 4.7:1. Most women (75%) were discharged after recovery. MNM events are not restricted to women initially classified as high-risk, underscoring the need to strengthen early detection strategies and ensure appropriate management at all levels of care. Improved training of healthcare professionals responsible for reporting and the standardization of MNM monitoring systems in Brazil are also essential.
Source: Medical Sciences
Authors: Ana Paula Jaqueline Crestani, Guilherme Welter Wendt, Caryna Eurich Mazur, Glaucia Osis Gonçalves, Aedra Carla Bufalo Kawassaki, Ana Paula Vieira, Camila Elizandra Rossi, Carolina Panis, Cleide Viviane Buzanello, Dalila Moter Benvegnú, Franciele Ani Caovilla Follador, Geraldo Emílio Vicentini, Gisele Arruda, Léia Carolina Lucio, Lirane Elize Defante Ferreto, Kérley Braga Pereira Bento Casaril, Mariana Abe Vicente Cavagnari, Claudiceia Risso Pascotto
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,689
Awards: G116629194, G602894910
OpenAlex ID: W7164852238
