The yield of chest X-ray based versus symptom-based screening among patients with diabetes mellitus in public health facilities in Addis Ababa, Ethiopia.

Diabetes Ethiopia Screening Symptom-based Tuberculosis chest Xray

Journal

Journal of clinical tuberculosis and other mycobacterial diseases
ISSN: 2405-5794
Titre abrégé: J Clin Tuberc Other Mycobact Dis
Pays: England
ID NLM: 101682877

Informations de publication

Date de publication:
Dec 2022
Historique:
entrez: 14 10 2022
pubmed: 15 10 2022
medline: 15 10 2022
Statut: epublish

Résumé

Patients with diabetes mellitus (DM) are at increased risk of developing TB, but the best screening algorithm for early detection and treatment of TB remains unknown. Our objective was to determine if combining routine chest X-ray screening could have a better yield compared with symptom-based screening alone. We conducted this cross-sectional study between September 2020 and September 2021 in 26 public health facilities in Addis Ababa, Ethiopia. All DM patients attending the clinics during the study period were offered chest X-ray and symptom screening simultaneously followed by confirmatory Xpert testing. We analyzed the number and proportion of patients with TB by the diagnostic algorithm category and performed binary logistic regression analysis to identify predictors of TB diagnosis. Of 7394 patients screened, 54.6 % were female, and their median age was 53 years. Type-2 diabetes accounted for 89.6 % of all participants of the patients. Of 172 symptomatic patients, chest X-ray suggested TB in 19, and 11 of these were confirmed to have TB (8 bacterilogicially confirmed and 3 clinically diagnosed). Only 2 of the 152 asymptomatic patients without X-ray findings had TB (both bacteriologically confirmed). X-ray was not done for one patient. On the other hand, 28 of 7222 symptom-negative patients had X-ray findings suggestive of TB, and 7 of these were subsequently confirmed with TB (6 clinically diagnosed). When combined with 8 patients who were on treatment for TB at the time of the screening, the overall point prevalence of TB was 380 per 100,000. The direct cost associated with the X-ray-based screening was 42-times higher. Chest X-ray led to detection of about a third of TB patients which otherwise would have been missed but the algorithm is more expensive. Its full cost implication needs further economic evaluation.

Sections du résumé

Background UNASSIGNED
Patients with diabetes mellitus (DM) are at increased risk of developing TB, but the best screening algorithm for early detection and treatment of TB remains unknown. Our objective was to determine if combining routine chest X-ray screening could have a better yield compared with symptom-based screening alone.
Methods UNASSIGNED
We conducted this cross-sectional study between September 2020 and September 2021 in 26 public health facilities in Addis Ababa, Ethiopia. All DM patients attending the clinics during the study period were offered chest X-ray and symptom screening simultaneously followed by confirmatory Xpert testing. We analyzed the number and proportion of patients with TB by the diagnostic algorithm category and performed binary logistic regression analysis to identify predictors of TB diagnosis.
Results UNASSIGNED
Of 7394 patients screened, 54.6 % were female, and their median age was 53 years. Type-2 diabetes accounted for 89.6 % of all participants of the patients. Of 172 symptomatic patients, chest X-ray suggested TB in 19, and 11 of these were confirmed to have TB (8 bacterilogicially confirmed and 3 clinically diagnosed). Only 2 of the 152 asymptomatic patients without X-ray findings had TB (both bacteriologically confirmed). X-ray was not done for one patient. On the other hand, 28 of 7222 symptom-negative patients had X-ray findings suggestive of TB, and 7 of these were subsequently confirmed with TB (6 clinically diagnosed). When combined with 8 patients who were on treatment for TB at the time of the screening, the overall point prevalence of TB was 380 per 100,000. The direct cost associated with the X-ray-based screening was 42-times higher.
Conclusion UNASSIGNED
Chest X-ray led to detection of about a third of TB patients which otherwise would have been missed but the algorithm is more expensive. Its full cost implication needs further economic evaluation.

Identifiants

pubmed: 36238947
doi: 10.1016/j.jctube.2022.100333
pii: S2405-5794(22)00038-9
pmc: PMC9551073
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100333

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This project was funded by Dr. C. de Langen Stichting voor Mondiale Tuberculosebestrijding.

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Auteurs

Degu Jerene (D)

KNCV Tuberculosis Foundation, Division of TB Elimination and Health Systems Innovation, The Hague, the Netherlands.

Chaltu Muleta (C)

KNCV Tuberculosis Foundation, Ethiopia Country Office, Addis Ababa, Ethiopia.

Solomon Dressie (S)

Addis Ababa City Administration Regional Health Bureau, Disease Prevention and Control, Addis Ababa, Ethiopia.

Abdurezak Ahmed (A)

Addis Ababa University, Tikur Anbessa Specialized Hospital, Department of Internal Medicine, Diabetic Clinic, Addis Ababa, Ethiopia.

Getahun Tarekegn (G)

Addis Ababa University, Tikur Anbessa Specialized Hospital, Department of Internal Medicine, Diabetic Clinic, Addis Ababa, Ethiopia.

Tewodros Haile (T)

Addis Ababa University, Tikur Anbessa Specialized Hospital, Department of Internal Medicine, Pulmonary and Critical Care Medicine Unit, Addis Ababa, Ethiopia.

Ahmed Bedru (A)

KNCV Tuberculosis Foundation, Ethiopia Country Office, Addis Ababa, Ethiopia.

Gidado Mustapha (G)

KNCV Tuberculosis Foundation, Division of TB Elimination and Health Systems Innovation, The Hague, the Netherlands.

Agnes Gebhard (A)

KNCV Tuberculosis Foundation, Division of TB Elimination and Health Systems Innovation, The Hague, the Netherlands.

Fraser Wares (F)

KNCV Tuberculosis Foundation, Division of TB Elimination and Health Systems Innovation, The Hague, the Netherlands.

Classifications MeSH