Evidence map›Paper›PMID 34930174›Full record

Observational studyBMC infectious diseases2021

Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study.

Yannick Nlandu, Danny Mafuta, Junior Sakaji, Melinda Brecknell, Yannick Engole, Jessy Abatha, Jean-Robert Nkumu, Aliocha Nkodila, Marie-France Mboliassa, Olivier Tuyinama and 19 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  18. Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Article
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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

29 authors at 2 institutions in 1 country.

Yannick NlanduIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo. yannicknlandu@yahoo.fr.ORCID http://orcid.org/0000-0001-6158-0799
Danny MafutaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Junior SakajiIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Melinda BrecknellIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Yannick EngoleIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Jessy AbathaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Jean-Robert NkumuIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Aliocha NkodilaFaculty of Public Health, Lomo University, Kinshasa, Democratic Republic of the Congo.
Marie-France MboliassaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Olivier TuyinamaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Dauphin BenaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Yves MbolokoIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Patrick KoboIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Patrick BolokoIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Joseph TshanguIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Philippe AzikaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Jean-Pierre KankuIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Pally MafutaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Magloire AtantamaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Jean-Michel MavunguIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Rosita KitengeIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Asma SehliIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Karel Van EckoutIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Cathy MukukuIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Léo BergeretIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
David BenchetrittIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Golan KalifaIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Ahmed RodolpheIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
Justine BukabauIntensive Care Unit, Kinshasa Medical Center, Kinshasa, Democratic Republic of the Congo.
University of Kinshasa · CDKinshasa General Hospital · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite it being a global pandemic, there is little research examining the clinical features of severe COVID-19 in sub-Saharan Africa. This study aims to identify predictors of mortality in COVID-19 patients at Kinshasa Medical Center (KMC).

methodsIn this retrospective, observational, cohort study carried out at the Kinshasa Medical Center (KMC) between March 10, 2020 and July 10, 2020, we included all adult inpatients (≥ 18 years old) with a positive COVID-19 PCR result. The end point of the study was survival. The study population was dichotomized into survivors and non-survivors group. Kaplan-Meier plot was used for survival analyses. The Log-Rank test was employed to compare the survival curves. Predictors of mortality were identified by Cox regression models. The significance level of p value was set at 0.05.

results432 patients with confirmed COVID-19 were identified and only 106 (24.5%) patients with moderate, severe or critical illness (mean age 55.6 ± 13.2 years old, 80.2% were male) were included in this study, of whom 34 (32%) died during their hospitalisation. The main complications of the patients included ARDS in 59/66 (89.4%) patients, coagulopathy in 35/93 (37.6%) patients, acute cardiac injury in 24/98 (24.5%) patients, AKI in 15/74 (20.3%) patients and secondary infection in 12/81 (14.8%) patients. The independent predictors of mortality were found to be age [aHR 1.38; 95% CI 1.10-1.82], AKI stage 3 [aHR 2.51; 95% CI 1.33-6.80], proteinuria [aHR 2.60; 95% CI 1.40-6.42], respiratory rate [aHR 1.42; 95% CI 1.09-1.92] and procalcitonin [aHR 1.08; 95% CI 1.03-1.14]. The median survival time of the entire group was 12 days. The cumulative survival rate of COVID-19 patients was 86.9%, 65.0% and 19.9% respectively at 5, 10 and 20 days. Levels of creatinine (p = 0.012), were clearly elevated in non-survivors compared with survivors throughout the clinical course and increased deterioration.

conclusionMortality rate of COVID-19 patients is high, particularly in intubated patients and is associated with age, respiratory rate, proteinuria, procalcitonin and acute kidney injury.

Indexed as

COVID-19AdolescentAdultAgedCohort StudiesDemocratic Republic of the CongoHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Acute kidney injuryAfrican peopleCOVID-19MortalityProcalcitonin

Identifiers

PMID34930174
PMCPMC8686084
OpenAlexW4226159210

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.