Evidence map›Paper›PMID 33032527›Full record

ArticleBMC cardiovascular disorders2020

Predictors of 30-day and 90-day mortality among hemorrhagic and ischemic stroke patients in urban Uganda: a prospective hospital-based cohort study.

Gertrude Namale, Onesmus Kamacooko, Anthony Makhoba, Timothy Mugabi, Maria Ndagire, Proscovia Ssanyu, John Bosco M Ddamulira, Laetitia Yperzeele, Patrick Cras, Edward Ddumba and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  7. Mortality outcomes in 35,433 patients admitted for acute haemorrhagic stroke in Australia: A population-linkage study.International journal of cardiology. Cardiovascular risk and prevention · 2024
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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

12 authors at 6 institutions in 3 countries.

Gertrude NamaleMRC/UVRI and LSHTM Uganda Research Unit, P.O Box 49, Entebbe, Uganda. gertrude.namale@mrcuganda.org.ORCID 0000-0002-0247-7721
Onesmus KamacookoMRC/UVRI and LSHTM Uganda Research Unit, P.O Box 49, Entebbe, Uganda.
Anthony MakhobaSt. Francis Hospital Nsambya affiliated to Uganda Martyrs University, Kampala, Uganda.
Timothy MugabiSt. Francis Hospital Nsambya affiliated to Uganda Martyrs University, Kampala, Uganda.
Maria NdagireSt. Francis Hospital Nsambya affiliated to Uganda Martyrs University, Kampala, Uganda.
Proscovia SsanyuSt. Francis Hospital Nsambya affiliated to Uganda Martyrs University, Kampala, Uganda.
John Bosco M DdamuliraSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Laetitia YperzeeleStroke unit and Antwerp Neuro-Vascular Center, department of Neurology, University Hospital Antwerp, Antwerp Belgium and Research group on Translational Neurosciences, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Patrick CrasBorn Bunge Institute, University of Antwerp and Antwerp University Hospital, Department of Neurology, Antwerp, Belgium.
Edward DdumbaSt. Francis Hospital Nsambya affiliated to Uganda Martyrs University, Kampala, Uganda.
Janet SeeleyMRC/UVRI and LSHTM Uganda Research Unit, P.O Box 49, Entebbe, Uganda.
Robert NewtonMRC/UVRI and LSHTM Uganda Research Unit, P.O Box 49, Entebbe, Uganda.
Uganda Martyrs University · UGUganda Virus Research Institute · UGUniversity of Antwerp · BELondon School of Hygiene & Tropical Medicine · GBMakerere University · UGUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe report here on a prospective hospital-based cohort study that investigates predictors of 30-day and 90-day mortality and functional disability among Ugandan stroke patients.

methodsBetween December 2016 and March 2019, we enrolled consecutive hemorrhagic stroke and ischemic stroke patients at St Francis Hospital Nsambya, Kampala, Uganda. The primary outcome measure was mortality at 30 and 90 days. The modified Ranking Scale wasused to assess the level of disability and mortality after stroke. Stroke severity at admission was assessed using the National Institute of Health Stroke Scale (NIHSS) and Glasgow Coma Scale (GCS). Examination included clinical neurological evaluation, laboratory tests and brain computed tomography (CT) scan. Kaplan-Meier curves and multivariate Cox proportional hazard model were used for unadjusted and adjusted analysis to predict mortality.

resultsWe enrolled 141 patients; 48 (34%) were male, mean age was 63.2 (+ 15.4) years old; 90 (64%) had ischemic and 51 (36%) had hemorrhagic stroke; 81 (57%) were elderly (≥ 60 years) patients. Overall mortality was 44 (31%); 31 (23%) patients died within the first 30 days post-stroke and, an additional 13 (14%) died within 90 days post-stroke. Mortality for hemorrhagic stroke was 19 (37.3%) and 25 (27.8%) for ischemic stroke. After adjusting for age and sex, a GCS score below < 9 (adjusted hazard ratio [aHR] =3.49, 95% CI: 1.39-8.75) was a significant predictor of 30-day mortality. GCS score < 9 (aHR =4.34 (95% CI: 1.85-10.2), stroke severity (NIHSS ≥21) (aHR = 2.63, 95% CI: (1.68-10.5) and haemorrhagic stroke type (aHR = 2.30, 95% CI: 1.13-4.66) were significant predictors of 90-day mortality. Shorter hospital stay of 7-13 days (aHR = 0.31, 95% CI: 0.11-0.93) and being married (aHR = 0.22 (95% CI: 0.06-0.84) had protective effects for 30 and 90-day mortality respectively.

conclusionMortality is high in the acute and sub-acute phase of stroke. Low levels of consciousness at admission, stroke severity, and hemorrhagic stroke were associated with increased higher mortality in this cohort of Ugandan stroke patients. Being married provided a protective effect for 90-day mortality. Given the high mortality during the acute phase, critically ill stroke patients would benefit from early interventions established as the post-stroke- standard of care in the country.

Indexed as

Urban HealthAgedFemaleHemorrhagic StrokeHospitals, UrbanHumansIschemic StrokeMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsUganda30-day mortality90-day mortalityGlasgow coma scale (GCS)Hemorrhagic strokeIschemic strokeModified ranking scale (mRS)National Institute of health stroke scale (NIHSS)PredictorsUganda

Identifiers

PMID33032527
PMCPMC7545850
OpenAlexW3091999245

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.