Evidence map›Paper›PMID 37307269›Full record

ArticlePLOS global public health2023

Multiple electrolyte derangements among perioperative women with obstructed labour in eastern Uganda: A cross-sectional study.

Ritah Nantale, David Mukunya, Kenneth Mugabe, Julius N Wandabwa, John Stephen Obbo, Milton W Musaba

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Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ritah NantaleBusitema University Faculty of Health Sciences, Department of Nursing, Mbale, Uganda.ORCID https://orcid.org/0000-0001-8433-7054
David MukunyaBusitema University Centre of Excellence for Maternal Reproductive and Child Health (BuCEMaRCH), Mbale, Uganda.
Kenneth MugabeBusitema University Centre of Excellence for Maternal Reproductive and Child Health (BuCEMaRCH), Mbale, Uganda.
Julius N WandabwaBusitema University Centre of Excellence for Maternal Reproductive and Child Health (BuCEMaRCH), Mbale, Uganda.
John Stephen ObboBusitema University Centre of Excellence for Maternal Reproductive and Child Health (BuCEMaRCH), Mbale, Uganda.
Milton W MusabaBusitema University Centre of Excellence for Maternal Reproductive and Child Health (BuCEMaRCH), Mbale, Uganda.
Busitema University · UGMbale Hospital · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a dearth of information on the patterns of electrolyte derangements among perioperative women with obstructed labour. We measured the levels and patterns of electrolyte derangements among women with obstructed labour in eastern Uganda. This was a secondary analysis of data for 389 patients with obstructed labour, diagnosed by either an obstetrician or medical officer on duty between July 2018 and June 2019. Five milliliters of venous blood was drawn from the antecubital fossa under an aseptic procedure for electrolytes and complete blood analyses. The primary outcome was the prevalence of electrolyte derangements, defined as values outside the normal ranges: Potassium 3.3-5.1 mmol/L, Sodium 130-148 mmol/L, Chloride 97-109 mmol/L, Magnesium 0.55-1.10 mmol/L, Calcium (Total) 2.05-2.42 mmol/L, and Bicarbonate 20-24 mmol/L. The most prevalent electrolyte derangement was hypobicarbonatemia [85.8% (334/389)], followed by hypocalcaemia [29.1% (113/389)], then hyponatremia [18% (70/389)]. Hyperchloraemia [4.1% (16/389)], hyperbicarbonatemia [3.1% (12/389)], hypercalcaemia [2.8% (11/389)] and hypermagnesemia [2.8% (11/389)] were seen in a minority of the study participants. A total of 209/389 (53.7%) of the participants had multiple electrolyte derangements. Women who used herbal medicines had 1.6 times the odds of having multiple electrolyte derangements as those who did not use herbal medicines [Adjusted Odds Ratio (AOR): 1.6; 95% Confidence Interval (CI): (1.0-2.5)]. Having multiple electrolyte derangements was associated with perinatal death although this estimate was not precise [AOR 2.1; 95% CI: (0.9-4.7)]. Women with obstructed labour in the perioperative period have multiple electrolyte derangements. Use of herbal medicines in labour was associated with having multiple electrolyte derangements. We recommend routine assessment of electrolytes prior to surgery in patients with obstructed labour.

Identifiers

PMID37307269
PMCPMC10259772
OpenAlexW4380304407

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LicenceCC BY
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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.