Evidence map›Paper›PMID 38742165›Full record

ArticleInternational journal of MCH and AIDS2024

Prevalence, Epidemiological, and Clinical Profile of Patients Coinfected with Human Immunodeficiency Virus and Tuberculosis in the Coronavirus Disease 2019 Context in Health Facilities in the East Region, Cameroon.

Onana Akoa François Anicet, Charles Kouanfack, Ulrich Dama, Claude Ngwayu Nkfusai, Jean Ndibi Abanda, Désiré Tchoffo, Pearl Nsom Mbu, Pierre Yassa Yoniene

Abstract read
In one paragraph

Article in International journal of MCH and AIDS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Onana Akoa François AnicetInternational Center for Multidisciplinary Research at the University of Lisala, Democratic Republic of the Congo.
Charles KouanfackDay Hospital, Central Hospital, Yaounde, Cameroon.
Ulrich DamaInternational Center for Multidisciplinary Research at the University of Lisala, Democratic Republic of the Congo.
Claude Ngwayu NkfusaiDepartment of Public Health, School of Nursing and Public Health, University of KwaZulu Nathal, Durban, South Africa.
Jean Ndibi AbandaInternational Center for Multidisciplinary Research at the University of Lisala, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0001-5636-3562
Désiré TchoffoInternational Center for Multidisciplinary Research at the University of Lisala, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0002-8728-1807
Pearl Nsom MbuTexila American University, Democratic Republic of the Congo.
Pierre Yassa YonieneUniversity Simon Kimbangu, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Suspected cases of tuberculosis (TB) are identified for confirmation by bacteriological tests through clinical screening for TB in people living with human immunodeficiency virus (HIV) during routine visits or when antiretrovirals (ARVs) are dispensed. Our aim is to determine the prevalence and describe the epidemiological and clinical characteristics of HIV-TB coinfected patients in the coronavirus disease 2019 (COVID-19) setting in health facilities in the East Region of Cameroon. This study addresses knowledge gaps on HIV-TB coinfection during COVID-19, aiming to provide insights into the interaction and impact of HIV, TB, and COVID-19 on individuals' health. Methods: This was an observational study. It involved two retrospective cohorts of HIV-TB coinfected patients before and after the COVID-19 pandemic. We conducted manual reviews of the medical records and antiretroviral therapy (ART) and TB registers of 262 patients. These patients were coinfected with HIV and TB during the period from April 2019 to April 2021 in 11 health facilities in the East Cameroon health region. The sociodemographic and clinical characteristics of the cases were extracted from the consultation registers and entered into the KoBo Collect application, then analyzed using the Statistical Package for the Social Sciences (SPSS) software, version 25. Results: In this study of 262 HIV-TB coinfection cases, 60.3% occurred before COVID-19, and 39.7% during the pandemic. HIV-TB coinfection prevalence among HIV patients was 1%. Patients averaged 39.3 years in age, with a significant shift in sex ratios from 0.65 to 1.33 between pre-COVID-19 and COVID-19 cohorts. Education varied, with 45.8% having secondary education, 44.8% with primary, 2.4% having higher education, and 7.1% having none. Most (78.9%) had professional occupations, and 53.7% lived in rural areas. The majority were newly diagnosed (96.3% before COVID-19; 93.3% during COVID-19), with 3.7% relapses and 4.2% discontinuing treatment. Most had pulmonary TB (84.9%) and were aware of treatment duration (94.6%). About 65.4% experienced treatment-related adverse events. Regarding family support, 69.3% received help with medication. However, the concern was 80.6% did not adhere to anti-COVID-19 measures. Conclusion and Global Health Implications: Gender was significantly associated with compliance. Most patients were on treatment, but a small percentage had discontinued it. Patients need to be made aware of the importance of complying with anti-COVID-19 barrier measures to prevent a potential worsening of the health situation. Moreover, clinical and biological monitoring needs to be stepped up throughout the course of anti-TB treatment.

Indexed as

CameroonCoinfectionCoronavirus Disease 2019PrevalenceTuberculosis/Human Immunodeficiency Virus

Identifiers

PMID38742165
PMCPMC11090524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.