Evidence map›Paper›PMID 38124701›Full record

ArticleMalawi medical journal : the journal of Medical Association of Malawi2023

Demographic characteristics, clinical presentation and in-hospital outcome among patients with Covid-19 in a Nigerian tertiary hospital.

Juliet I Mmerem, Uche S Unigwe, Michael O Iroezindu, Kyrian S Chukwu, Ifeyinwa L Ezenwosu, Geofrey O Okorie, Nneka M Chika-Igwenyi, Chidinma B Nwatu, Obinna D Onodugo

Open access · diamondAbstract read
In one paragraph

Article in Malawi medical journal : the journal of Medical Association of Malawi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Juliet I MmeremDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Uche S UnigweDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Michael O IroezinduDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Kyrian S ChukwuDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Ifeyinwa L EzenwosuDepartment of Community Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Geofrey O OkorieDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Nneka M Chika-IgwenyiDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Chidinma B NwatuDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Obinna D OnodugoDepartment of Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Enugu State, Nigeria.
Federal Teaching Hospital Abakaliki · NGUniversity of Nigeria Teaching Hospital · NGEnugu State University of Science and Technology · NGFederal Medical Centre · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We described the demographic/clinical characteristics and in-hospital outcome of patients with COVID-19 at the University of Nigeria Teaching Hospital (UNTH) during the first wave to inform evidence-based responses during subsequent waves in Africa. Methodology: We conducted retrospective cohort analyses of adult patients ≥18 years with PCR or GeneXpert-confirmed SARS-CoV-2 infection. Data was extracted from patients' medical records from 1st May to 30th September 2020. Based on disease severity, patients were either hospitalized (82) or managed at home (90). Logistic regression and cox-proportional hazard models were used to determine predictors of severe COVID-19 disease and in-hospital mortality, respectively. Results: Of 172 cases, 113 (65.7%) were males, and the mean age was 45 ± 19 years. The majority were urban dwellers (72.1%), 19.8% had a positive history of contact with a confirmed/suspected case, 15.7% were healthcare workers while 68 (39.5%) had co-morbidities. Symptomatic patients comprised 73.3% of cases. Fever (p=0.02) and breathlessness (p=0.03) were commoner in males while diarrhoea (p<0.01) was predominant in females. On multivariate analysis, severe COVID-19 was predicted by the presence of co-morbidity (AOR= 14.44, 95% C.I= 4.79- 43.58, p <0.001)and prior antibiotic/antimalarial use (AOR= 6.35, 95% C.I= 2.24- 18.05, p =0.001) while being a non-healthcare worker (AOR= 0.18, 95% C.I= 0.04-0.78, p=0.02) was protective. However, none of the variables assessed predicted in-hospital mortality. Conclusion: Our findings underscore the contributions of demographic variables in COVID-19 transmission and gender differences in clinical presentation. Underlying comorbidity likewise prior antimicrobial use increased the likelihood of severe COVID-19. The absence of mortality predictors in our study may be related to the relatively small number of deaths. Further studies are recommended to unravel the predominance of severe disease in healthcare workers.

Indexed as

COVID-19AdultDemographyFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Tertiary Care CentersClinical featuresCo-morbidityCOVID-19EpidemiologyMortalityNigeria

Identifiers

PMID38124701
PMCPMC10645895
OpenAlexW4366597533

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.