Cavalari CAA, Veiga-Junior NN, Kajiura BD, Eugeni C, Tavares BVG, Baccaro LF. Factors Associated with Abortion Complications after the Implementation of a Surveillance Network (MUSA Network) in a University Hospital.
REVISTA BRASILEIRA DE GINECOLOGIA E OBSTETRÍCIA 2021;
43:507-512. [PMID:
34461660 PMCID:
PMC10303421 DOI:
10.1055/s-0041-1735129]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
OBJECTIVE
To evaluate the factors associated with abortion complications following the implementation of the good-practice surveillance network Mujeres en Situación de Aborto (Women Undergoing Abortion, MUSA, in Spanish).
METHODS
A cross-sectional study with women who underwent abortion due to any cause and in any age group at UNICAMP Women's Hospital (part of MUSA network), Campinas, Brazil, between July 2017 and Agust 2019. The dependent variable was the presence of any abortion-related complications during hospitalization. The independent variables were clinical and sociodemographic data. The Chi-square test, the Mann-Whitney test, and multiple logistic regression were used for the statistical analysis.
RESULTS
Overall, 305 women were enrolled (mean ± standard deviation [SD] for age: 29.79 ± 7.54 years). The mean gestational age was 11.17 (±3.63) weeks. Accidental pregnancy occurred in 196 (64.5%) cases, 91 (29.8%) due to contraception failure. At least 1 complication was observed in 23 (7.54%) women, and 8 (34.8%) of them had more than 1. The most frequent complications were excessive bleeding and infection. The factors independently associated with a higher prevalence of complications were higher gestational ages (odds ratio [OR]: 1.22; 95% confidence interval [95%CI]: 1.09 to 1.37) and contraceptive failure (OR: 3.4; 95%CI: 1.32 to 8.71).
CONCLUSION
Higher gestational age and contraceptive failure were associated with a higher prevalence of complications. This information obtained through the surveillance network can be used to improve care, particularly in women more susceptible to unfavorable outcomes.
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