Predictors of Loss to Follow-Up among Men with Tuberculosis in Puducherry and Tamil Nadu, India.


Journal

The American journal of tropical medicine and hygiene
ISSN: 1476-1645
Titre abrégé: Am J Trop Med Hyg
Pays: United States
ID NLM: 0370507

Informations de publication

Date de publication:
09 2020
Historique:
pubmed: 4 7 2020
medline: 11 11 2020
entrez: 4 7 2020
Statut: ppublish

Résumé

Identifying predictors of loss to follow-up (LTFU; treatment lapse ≥ 2 months) among people with tuberculosis (TB) may assist programmatic efforts in controlling the spread of TB. Newly diagnosed smear-positive TB patients were enrolled in the Regional Prospective Observational Research for TB study in Puducherry and Tamil Nadu, India. Treatment records were used to identify LTFU of those who were enrolled from May 2014 through December 2017. This nested case-control study evaluated male TB patients. Predictors were assessed using multivariable logistic regression. Of 425 men with TB, 82 (19%) were LTFU. In the adjusted analyses of males, divorced/separated marital status (adjusted odds ratio [aOR] 3.80; 95% CI: 1.39-10.38) and at-risk alcohol use (aOR 1.92; 95% CI: 1.12-3.27) were significant predictors for increased risk of LTFU, and diabetes was a significant predictor for decreased risk of LTFU (aOR 0.52; 95% CI: 0.29-0.92). Of 53 men with recorded date of last treatment visit, 23 (43%) and 43 (81%) had LTFU within the first 2 and first 4 months of treatment, respectively. Addressing at-risk alcohol use and providing more intensive follow-up could lead to improved treatment completion.

Identifiants

pubmed: 32618243
doi: 10.4269/ajtmh.19-0415
pmc: PMC7470548
pii: tpmd190415
doi:
pii:

Substances chimiques

Antitubercular Agents 0

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1050-1056

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Auteurs

Thomas J Zhou (TJ)

1Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.

Subitha Lakshminarayanan (S)

2Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Sonali Sarkar (S)

2Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Selby Knudsen (S)

3Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts.

C Robert Horsburgh (CR)

1Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
3Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts.
4Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

Muthuraj Muthaiah (M)

5Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India.

Carolyn K Kan (CK)

6Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.

Padmini Salgame (P)

7Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey.

Jerrold J Ellner (JJ)

7Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey.

Gautam Roy (G)

2Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Helen E Jenkins (HE)

1Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.

Natasha S Hochberg (NS)

3Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts.
4Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

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