Dataset Information

Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

ABSTRACT:

Objective

This study aimed to determine incidences of potentially life-threatening conditions (PLTC), maternal near misses (MNM), and maternal deaths (MD) in women who gave birth in participating facilities, and to determine the probability that a pregnancy involving a PLTC would evolve into an MNM and/or an MD.

Methods

This was a multicentric observational study implemented on a maternal network from August 2018 to May 2019 in five Latin-American countries. We summarized categorical variables as frequencies and continuous variables with median, interquartile range, and standard deviations. Positive and negative likelihood ratios were calculated and multivariate predictive models were built.

Results

There were 33 901 deliveries and miscarriages, of which 8.0% had at least one PLTC and 0.6% had an MNM. Hypertensive disorder was the most frequent condition to evolve into a severe maternal outcome.

Conclusion

Identifying PLTC can help to prevent MNM and MD. The inclusion of these predictors in a real-time data registration system like the Perinatal Informatic System could work as a surveillance tool for early detection, leading to a reduction in the rate of worsening conditions.

SUBMITTER: Aleman A

PROVIDER: S-EPMC10087448 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

Aleman Alicia A Colomar Mercedes M Colistro Valentina V Tomaso Gisselle G Sosa Claudio C Serruya Suzanne S de Francisco Luis Andrés LA Ciganda Alvaro A De Mucio Bremen B

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics 20220924 3

<h4>Objective</h4>This study aimed to determine incidences of potentially life-threatening conditions (PLTC), maternal near misses (MNM), and maternal deaths (MD) in women who gave birth in participating facilities, and to determine the probability that a pregnancy involving a PLTC would evolve into an MNM and/or an MD.<h4>Methods</h4>This was a multicentric observational study implemented on a maternal network from August 2018 to May 2019 in five Latin-American countries. We summarized categori ...[more]

PMID: 36062397

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Dataset Information

Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

Objective

Methods

Results

Conclusion

Publications

Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

Similar Datasets

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