Evidence map›Paper›PMID 38974263›Full record

ArticleAfrican health sciences2023

Clinical characteristics and variables associated with COVID-19 morbidity and mortality in Luanda, Angola, in the first year of the pandemic.

Margarete Lt Arrais, Welwitschia A F Dias, Maura P A Silva, Luquenia E S Neto, Naiol M F Pedro, Sónia F I Jungo, Avelina R C Miguel, Elsa M V Fortes-Gabriel, Cruz S Sebastião, Jorge M R Gama and 1 more

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Margarete Lt ArraisDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Welwitschia A F DiasDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Maura P A SilvaDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Luquenia E S NetoDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Naiol M F PedroDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Sónia F I JungoDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Avelina R C MiguelDepartment of Pulmonology, Military Hospital, Luanda, Angola.
Elsa M V Fortes-GabrielCentro de Investigação em Saúde de Angola (CISA), Caxito, Bengo, Angola.
Cruz S SebastiãoCentro de Investigação em Saúde de Angola (CISA), Caxito, Bengo, Angola.
Jorge M R GamaCenter of Mathematics and Applications, Faculty of Sciences, University of Beira Interior, Covilhã, Portugal.
Miguel D BritoCentro de Investigação em Saúde de Angola (CISA), Caxito, Bengo, Angola.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of SARS-CoV-2 infection in Africa is still unclear. In comparison to Europe and North America, morbidity and death rates are lower. Several factors have been proposed, including geographical variation in virus impact, environmental factors, differences in age distribution, and the impact of infectious diseases such as malaria, HIV infection and tuberculosis. Objectives: We investigated the clinical characteristics and putative determinants linked with COVID-19 in Angolan patients. Methods: Cross-sectional study undertaken at Military Hospital, Luanda, from March 2020 to March 2021. The survey collected sociodemographic and clinical information. Results: The sample included 1,683 patients aged ≥18 years, 64% men, with mean age of 46.3 years. SARS-CoV-2 was positive in 39% of the cases with RT-PCR. Patients ≥46 years with a level of education of ≥12 years had a considerably higher likelihood of testing positive. About 58% of positive patients had at least one comorbidity, of which hypertension and Diabetes were associated with SARS-CoV-2 infection. HIV and pulmonary TB were putative protective factors. About 14% of positive patients died. Most deaths occurred in patients ≥46 years, with less education and unemployed. Working as a healthcare practitioner was linked to a protective effect. Malignant diseases were the most common comorbidities associated with death. Conclusions: We identified putative factors related to SARS-CoV-2 infection and mortality. HIV and TB were protective and not associated with mortality. Further study with a broader scope should be conducted to explain the main features related to COVID-19 mortality in Angola.

Indexed as

ComorbidityCOVID-19SARS-CoV-2AdolescentAdultAgedAngolaCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedMorbidityPandemicsRisk FactorsAngolaCOVID-19morbiditymortalityvariables associated

Identifiers

PMID38974263
PMCPMC11225435

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