Evidence map›Paper›PMID 40384799›Full record

ArticleInfection and drug resistance2025

Clinical Characteristics and Mortality Trends Among COVID-19 Patients During the First Four Waves in Ngaliema Clinic, Democratic Republic of the Congo.

Ben Bepouka, Madone Mandina, Daniel Mvibudulu, Junior Matangila, Armand Okamba, Gertrude Muyeke, Dieudonne Tawaba, Nadine Mayasi, Ossam Odio, Donat Mangala and 4 more

Abstract read
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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Ben BepoukaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Madone MandinaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Daniel MvibuduluFaculty of Medicine, Kongo University, Kisantu, Democratic Republic of the Congo.
Junior MatangilaEmergency Service, Ngaliema Clinic, Kinshasa, Democratic Republic of the Congo.
Armand OkambaCardiology Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Gertrude MuyekeFaculty of Medicine, Kongo University, Kisantu, Democratic Republic of the Congo.
Dieudonne TawabaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Nadine MayasiInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Ossam OdioInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Donat MangalaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Tuna LukianaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Marcel MbulaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Hippolyte SituakibanzaInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
Murielle LongokoloInfectious and Tropical Diseases Service, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 disease has been a deadly pandemic in different waves in the Democratic Republic of Congo. However, knowledge of the clinical characteristics of COVID-19 patients and the factors associated with death during different waves is important. Methods: We conducted a retrospective cohort of 410 patients hospitalized during 4 waves of COVID-19, from March 20, 2020, to January 2, 2022, at the Ngaliema clinic in DR Congo. We included any patient hospitalized for COVID-19 with biological confirmation by RT-PCR. Factors associated with death were investigated using logistic regression. Results: During the 4 waves of the COVID-19 pandemic at Clinique Ngaliema, complaints on admission were most often fever, cough and physical asthenia. Death was most common in the elderly, hypertensive and diabetic patients, those with elevated CRP and hyper leukocytosis. Mortality was highest in the 1st wave (28%), followed by the 3rd wave (27%), then the 2nd (22%) and 4th waves (21%). Factors associated with death were hyper leukocytosis (ORa: 2.76; CI 95%: 1.25-6.1), severe disease stage (ORa 21.24; CI 95%: 1.87-24). Vitamin C 500 mg twice a day use was protective (ORa: 0.24; CI 95%: 0.08-0.72). Conclusion: COVID-19 disease poses a real public health problem, with non-negligible mortality. Factors associated with death were degree of disease severity, hyper leukocytosis and non-use of vitamin C. Taking these factors into account will help clinicians and decision-makers to anticipate future waves of the pandemic.

Indexed as

clinical characteristicCOVID-19Democratic Republic of Congomortality

Identifiers

PMID40384799
PMCPMC12085894

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