Evidence map›Paper›PMID 33112915›Full record

ArticlePloS one2020

Risks of adverse perinatal and maternal outcomes among women with hypertensive disorders of pregnancy in southwestern Uganda.

Henry Mark Lugobe, Rose Muhindo, Musa Kayondo, Ian Wilkinson, David Collins Agaba, Carmel McEniery, Samson Okello, Blair J Wylie, Adeline A Boatin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Henry Mark LugobeDepartment of Obstetrics and Gynecology, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID 0000-0001-8177-8786
Rose MuhindoDepartment of Internal Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Musa KayondoDepartment of Obstetrics and Gynecology, Mbarara University of Science and Technology, Mbarara, Uganda.
Ian WilkinsonUniversity of Cambridge, Cambridge, United Kingdom.
David Collins AgabaDepartment of Obstetrics and Gynecology, Mbarara University of Science and Technology, Mbarara, Uganda.
Carmel McEnieryUniversity of Cambridge, Cambridge, United Kingdom.
Samson OkelloDepartment of Internal Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Blair J WylieDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.
Adeline A BoatinDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0003-3420-7846
Mbarara University of Science and Technology · UGUniversity of Cambridge · GBBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

Mbarara University Research Training Initiative (MURTI)D43TW010128 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI OBUA, CELESTINO · 2015 to 2019
$3.5M
FIC NIH HHS D43 TW010128
6 · The paper itself

Abstract

introductionHypertensive disorders of pregnancy (HDP) are a leading cause of global perinatal (fetal and neonatal) and maternal morbidity and mortality. We sought to describe HDP and determine the magnitude and risk factors for adverse perinatal and maternal outcomes among women with HDP in southwestern Uganda.

methodsWe prospectively enrolled pregnant women admitted for delivery and diagnosed with HDP at a tertiary referral hospital in southwestern Uganda from January 2019 to November 2019, excluding women with pre-existing hypertension. The participants were observed and adverse perinatal and maternal outcomes were documented. We used multivariable logistic regression models to determine independent risk factors associated with adverse perinatal and maternal outcomes.

resultsA total of 103 pregnant women with a new-onset HDP were enrolled. Almost all women, 93.2% (n = 96) had either pre-eclampsia with severe features or eclampsia. The majority, 58% (n = 60) of the participants had an adverse perinatal outcome (36.9% admitted to the neonatal intensive care unit (ICU), 20.3% stillbirths, and 1.1% neonatal deaths). Fewer participants, 19.4% (n = 20) had an adverse maternal outcome HELLP syndrome (7.8%), ICU admission (3%), and postpartum hemorrhage (3%). In adjusted analyses, gestational age of < 34 weeks at delivery and birth weight <2.5kg were independent risk factors for adverse perinatal outcomes while referral from another health facility and eclampsia were independent risk factors for adverse maternal outcomes.

conclusionAmong women with HDP at our institution, majority had preeclampsia with severe symptoms or eclampsia and an unacceptably high rate of adverse perinatal and maternal outcomes; over a fifth of the mothers experiencing stillbirth. This calls for improved antenatal surveillance of women with HDP and in particular improved neonatal and maternal critical care expertise at delivering facilities. Earlier detection and referral, as well as improvement in initial management at lower level health units and on arrival at the referral site is imperative.

Indexed as

AdultEclampsiaFemaleGestational AgeHumansHypertension, Pregnancy-InducedIncidenceInfant, NewbornMaternal MortalityPerinatal DeathPre-EclampsiaPregnancyPregnancy OutcomeProspective StudiesStillbirthSurvival Rate

Identifiers

PMID33112915
PMCPMC7592727
OpenAlexW3097663948

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.