Cargando…
Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study
OBJECTIVE: To determine the prevalence and determinants of diabetes mellitus (DM) among tuberculosis (TB) patients and to assess the additional yield and number needed to screen (NNS) to obtain a newly diagnosed DM among TB patients. DESIGN: We undertook a cross-sectional analysis of the cohort data...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543642/ https://www.ncbi.nlm.nih.gov/pubmed/34686553 http://dx.doi.org/10.1136/bmjopen-2021-050542 |
_version_ | 1784589663006097408 |
---|---|
author | Rajaa, Sathish Krishnamoorthy, Yuvaraj Knudsen, Selby Roy, Gautam Ellner, Jerrold Horsburgh, C Robert Hochberg, Natasha S Salgame, Padmini S, Govindarajan Prakash Babu, Senbagavalli Sarkar, Sonali |
author_facet | Rajaa, Sathish Krishnamoorthy, Yuvaraj Knudsen, Selby Roy, Gautam Ellner, Jerrold Horsburgh, C Robert Hochberg, Natasha S Salgame, Padmini S, Govindarajan Prakash Babu, Senbagavalli Sarkar, Sonali |
author_sort | Rajaa, Sathish |
collection | PubMed |
description | OBJECTIVE: To determine the prevalence and determinants of diabetes mellitus (DM) among tuberculosis (TB) patients and to assess the additional yield and number needed to screen (NNS) to obtain a newly diagnosed DM among TB patients. DESIGN: We undertook a cross-sectional analysis of the cohort data under Regional Prospective Observational Research for Tuberculosis-India consortium. Newly diagnosed TB patients recruited into the cohort between 2014 and 2018 were included. Pretested standardised questionnaires and tools were used for data collection. Prevalence of DM among TB patients was summarised as proportion with 95% CI. Type II DM was diagnosed if random blood sugar level was >200 mg/dL or if the participant had a documented history of DM. NNS by blood glucose testing to diagnose one new DM case among TB patients was also calculated. SETTING: Three districts of South India: Puducherry, Cuddalore and Villupuram SUBJECTS: Newly diagnosed sputum smear positive pulmonary TB patients aged ≥16 years RESULTS: In total, 1188 TB patients were included. Prevalence of DM among TB patients was 39% (95% CI: 36.2% to 41.8%). In unadjusted analysis, elderly TB, marital status, caste, gender, higher education level, household income and obesity had a significant association with DM. However, in adjusted analysis, only marital status (currently married aPR; 3.77 (95 CI: 2.20 to 6.49), widowed/separated/divorced aPR; 3.66 (95 CI: 1.96 to 6.83)) and body mass index category (normal weight aPR; 3.26 (95 CI: 2.55 to 4.16), overweight aPR; 3.86 (95 CI: 2.69 to 5.52), obesity aPR; 4.08 (95 CI: 2.81 to 5.94)) were found to be significant determinants. The number of TB patients needed to be screened to find a new DM case was 12. CONCLUSION: We found that one in three TB patients had coexisting DM. The number of TB patients needed to be screened to obtain a newly diagnosed DM patients was also determined. The study supports and highlights the need of RNTCP’s effort in bidirectional screening of TB and DM. |
format | Online Article Text |
id | pubmed-8543642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85436422021-11-10 Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study Rajaa, Sathish Krishnamoorthy, Yuvaraj Knudsen, Selby Roy, Gautam Ellner, Jerrold Horsburgh, C Robert Hochberg, Natasha S Salgame, Padmini S, Govindarajan Prakash Babu, Senbagavalli Sarkar, Sonali BMJ Open Infectious Diseases OBJECTIVE: To determine the prevalence and determinants of diabetes mellitus (DM) among tuberculosis (TB) patients and to assess the additional yield and number needed to screen (NNS) to obtain a newly diagnosed DM among TB patients. DESIGN: We undertook a cross-sectional analysis of the cohort data under Regional Prospective Observational Research for Tuberculosis-India consortium. Newly diagnosed TB patients recruited into the cohort between 2014 and 2018 were included. Pretested standardised questionnaires and tools were used for data collection. Prevalence of DM among TB patients was summarised as proportion with 95% CI. Type II DM was diagnosed if random blood sugar level was >200 mg/dL or if the participant had a documented history of DM. NNS by blood glucose testing to diagnose one new DM case among TB patients was also calculated. SETTING: Three districts of South India: Puducherry, Cuddalore and Villupuram SUBJECTS: Newly diagnosed sputum smear positive pulmonary TB patients aged ≥16 years RESULTS: In total, 1188 TB patients were included. Prevalence of DM among TB patients was 39% (95% CI: 36.2% to 41.8%). In unadjusted analysis, elderly TB, marital status, caste, gender, higher education level, household income and obesity had a significant association with DM. However, in adjusted analysis, only marital status (currently married aPR; 3.77 (95 CI: 2.20 to 6.49), widowed/separated/divorced aPR; 3.66 (95 CI: 1.96 to 6.83)) and body mass index category (normal weight aPR; 3.26 (95 CI: 2.55 to 4.16), overweight aPR; 3.86 (95 CI: 2.69 to 5.52), obesity aPR; 4.08 (95 CI: 2.81 to 5.94)) were found to be significant determinants. The number of TB patients needed to be screened to find a new DM case was 12. CONCLUSION: We found that one in three TB patients had coexisting DM. The number of TB patients needed to be screened to obtain a newly diagnosed DM patients was also determined. The study supports and highlights the need of RNTCP’s effort in bidirectional screening of TB and DM. BMJ Publishing Group 2021-10-22 /pmc/articles/PMC8543642/ /pubmed/34686553 http://dx.doi.org/10.1136/bmjopen-2021-050542 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Infectious Diseases Rajaa, Sathish Krishnamoorthy, Yuvaraj Knudsen, Selby Roy, Gautam Ellner, Jerrold Horsburgh, C Robert Hochberg, Natasha S Salgame, Padmini S, Govindarajan Prakash Babu, Senbagavalli Sarkar, Sonali Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title | Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title_full | Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title_fullStr | Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title_full_unstemmed | Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title_short | Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study |
title_sort | prevalence and factors associated with diabetes mellitus among tuberculosis patients in south india—a cross-sectional analytical study |
topic | Infectious Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543642/ https://www.ncbi.nlm.nih.gov/pubmed/34686553 http://dx.doi.org/10.1136/bmjopen-2021-050542 |
work_keys_str_mv | AT rajaasathish prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT krishnamoorthyyuvaraj prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT knudsenselby prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT roygautam prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT ellnerjerrold prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT horsburghcrobert prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT hochbergnatashas prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT salgamepadmini prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT sgovindarajan prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT prakashbabusenbagavalli prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy AT sarkarsonali prevalenceandfactorsassociatedwithdiabetesmellitusamongtuberculosispatientsinsouthindiaacrosssectionalanalyticalstudy |