Plasma electrolytes, osmolality and lipid profile in patients with acute stroke in a tertiary hospital in South-South, Nigeria

Introduction stroke or cerebrovascular accident is a leading cause of morbidity and mortality worldwide. Electrolyte imbalances and dyslipidemia cause poor patients' treatment outcomes. Aim of the study wasto evaluate Plasma electrolytes, osmolality and lipid profile in stroke patients. Materials and Method: This was a descriptive cross-sectional study conducted between May 2022 to October 2022, on 144 stroke patients seen in the University of Benin Teaching Hospital. serum electrolytes, Osmolality and lipid profile were assayed. statistical analysis was done using sPss version 22. Level of significance established at p ≤ 0.05 Result: 69.5% of the subjects had ischemic stroke, 30.5% had hemorrhagic stroke. 45.1% of the subjects had hyponatremia and hypo-osmolality, 49% had hypokalaemia, 21.5% had metabolic acidosis and 6% hypochloraemia. Majority of the subjects (98%-99.3%) had normal lipid profile. No statistically significant difference between the electrolyte results of both ischaemic and hemorrhagic stroke. Conclusion: Electrolyte derangements are common in patients with stroke. Hypokalaemia was the commonest observed, closely followed by hyponatremia and hypo-osmolality in this study. Electrolyte derangements in stroke patients should be promptly corrected and plasma levels monitored to reduce morbidity and mortality.

Authors

Publication Details

Journal
African Journal of Tropical Medicine and Biomedical Research
Published
2025-02-10
DOI
https://doi.org/10.4314/ajtmbr.v7i1.3
Primary Topic
Electrolyte and hormonal disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plasma electrolytes, osmolality and lipid profile in patients with acute stroke in a tertiary hospital in South-South, Nigeria

OF Adewolu, Francis Odiase
African Journal of Tropical Medicine and Biomedical Research
Electrolyte and hormonal disorders
article

Plasma electrolytes, osmolality and lipid profile in patients with acute stroke in a tertiary hospital in South-South, Nigeria

OF Adewolu, Francis Odiase
article en

Abstract

Introduction stroke or cerebrovascular accident is a leading cause of morbidity and mortality worldwide. Electrolyte imbalances and dyslipidemia cause poor patients' treatment outcomes. Aim of the study wasto evaluate Plasma electrolytes, osmolality and lipid profile in stroke patients. Materials and Method: This was a descriptive cross-sectional study conducted between May 2022 to October 2022, on 144 stroke patients seen in the University of Benin Teaching Hospital. serum electrolytes, Osmolality and lipid profile were assayed. statistical analysis was done using sPss version 22. Level of significance established at p ≤ 0.05 Result: 69.5% of the subjects had ischemic stroke, 30.5% had hemorrhagic stroke. 45.1% of the subjects had hyponatremia and hypo-osmolality, 49% had hypokalaemia, 21.5% had metabolic acidosis and 6% hypochloraemia. Majority of the subjects (98%-99.3%) had normal lipid profile. No statistically significant difference between the electrolyte results of both ischaemic and hemorrhagic stroke. Conclusion: Electrolyte derangements are common in patients with stroke. Hypokalaemia was the commonest observed, closely followed by hyponatremia and hypo-osmolality in this study. Electrolyte derangements in stroke patients should be promptly corrected and plasma levels monitored to reduce morbidity and mortality.

African Journal of Tropical Medicine and Biomedical ResearchVol. 7(1)
Openalex Percentile: Top 96%
Electrolyte and hormonal disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.