| Literature DB >> 34383072 |
Yohhei Hamada1, Christopher J Fong2, Andrew Copas1, John R Hurst2, Molebogeng X Rangaka1,3.
Abstract
Reports suggest an increased risk of tuberculosis (TB) in people with chronic airway diseases (CADs) such as chronic obstructive pulmonary disease (COPD), but evidence has not been systematically reviewed. We performed a systematic review by searching MEDLINE and Embase for studies published from 1 January 1993 to 15 January 2021 reporting the association between the incident risk of TB in people with CADs (asthma, COPD and bronchiectasis). Two reviewers independently assessed the quality of individual studies. We included nine studies, with two from low-income high TB burden countries. Three cohort studies reported a statistically significant independent association between COPD and the risk of TB in high-income countries (n=711 389). Hazard ratios for incident TB ranged from 1.44 to 3.14 adjusted for multiple confounders including age, sex and comorbidity. There was large between-study heterogeneity (I2=97.0%) across studies. The direction of effect on the TB risk from asthma was inconsistent. Chronic bronchitis or bronchiectasis studies were limited. The small number of available studies demonstrated an increased risk of TB in people with COPD; however, the magnitude of the increase varies by setting and population. Data in high TB burden countries and for other CADs are limited.Entities:
Keywords: asthma; bronchiectasis; chronic obstructive pulmonary disease; relative risk
Mesh:
Year: 2022 PMID: 34383072 PMCID: PMC9070518 DOI: 10.1093/trstmh/trab122
Source DB: PubMed Journal: Trans R Soc Trop Med Hyg ISSN: 0035-9203 Impact factor: 2.184
Figure 1.Study selection.
Study characteristics
| Study | Design | Setting and population | Type of CAD | Definition of CAD | Diagnosis of TB and follow-up | NOS score (maximum=9) |
|---|---|---|---|---|---|---|
| Bhat et al., 201720 | Case–control | Pulmonary TB and non-TB as a control identified in a population-based survey of TB symptoms in Jabalpur, India | Asthma | Not defined | Sputum smear and/or culture-positive pulmonary TB | 6 |
| Inghammar et al., 20105 | Retrospective cohort | Individuals ≥40 y of age with a hospital discharge diagnosis of COPD in the nationwide inpatient register in Sweden. One control selected for each COPD case from the population register matched for sex, year of birth and county of residence | COPD | Hospital discharge diagnosis of COPD according to ICD-9 or ICD-10 codes (ICD-9: 491, 492, 496; ICD-10: J41–J44), either as a main or secondary diagnosis | Linkage with the national TB register (including both bacteriologically confirmed and clinically diagnosed). 95.1% had >1 y of follow-up | 8 |
| Jick et al., 200619 | Case–control | All patients with a first-time diagnosis of TB in the General Practice Research Database in the UK. Up to four controls per case matched for age, sex, the practice attended by the case and index date | Emphysema, chronic bronchitis and asthma | Based on the standardized code in the database (Read code) | Diagnosis of TB in the database with receipt of anti-TB treatment | 9 |
| Lee et al., 20136 | Retrospective cohort | Individuals with COPD in the national health insurance database in Taiwan. Two controls per case adjusted for age, sex and timing of entering the database | COPD | At least two visits with a COPD diagnosis according to ICD-9-CM codes (490–492, 496 and A-code A323 or A325) together with and the use of at least two COPD-specific medications (corticosteroids, β-agonists, anti-cholinergic, aminophylline and theophylline) or one COPD-specific medication plus one airway medication (oral antitussives, mucolytic agents and sympathomimetics) | Two ambulatory visits or one inpatient record with a compatible diagnosis according to ICD-9-CM, plus prescription of anti-TB treatment.Mean follow-up of 8.6 y and 8.7 y in CPD and non-CPD patients, respectively | 9 |
| Lienhardt et al., 200512 | Case–control | Newly detected TB patients who presented to urban health centres in The Gambia, Guiney and Guinea Bissau. Age-matched household and community control | Asthma | History and treatment of asthma collected separately. Only history of asthma was included in the multivariable regression model | Sputum smear–positive pulmonary TB | 8 |
| Park et al., 201918 | Retrospective cohort | Adults ≥19 y of age with pre-dialysis chronic kidney disease identified in the national health insurance database in the Republic of Korea | COPD | The presence of ICD-10 codes compatible with COPD (J41–J44) twice or more | Diagnosis of TB according to ICD-10. Median duration of follow-up 3 y | 7 |
| Ruzangi et al., 202022 | Retrospective cohort | All adults >18 y of age in the UK Clinical Practice Research Datalink from 1 April 2004 to 31 March 2014 | COPD and asthma | Based on the standardized code in the database (Read code) | Based on UK Read codes. Follow-up from 1 month to 10 y (median 3.81 years) | 6 |
| Yii et al., 201911 | Prospective cohort | Ethnic Chinese adults 45–74 y of age included in a large population cohort in Singapore | Asthma and chronic bronchitis | Asthma: history of physician-diagnosed asthma. Chronic bronchitis: American Thoracic Society 1995 consensus criteria. Both ascertained through a structured interview | Linkage with the National TB Notification Registry (including both bacteriologically confirmed and clinically diagnosed). Mean duration of follow-up 17 y | 8 |
| Wu et al., 200721 | Case–control | Individuals with lower respiratory tract infection or who had been in contact with TB patients in a hospital in Taiwan | Bronchiectasis | Dilatation of the bronchi on high-resolution computed tomography scan | Positive culture for | 6 |
Summary of findings for the association between TB and chronic pulmonary diseases
| Cohort study | CAD | TB patients/participants with CAD, n/n (%) | TB patients/participants without CAD, n/n (%) | Adjusted estimate | Variables adjusted for |
| Inghammar et al., 20105 | COPD | 201/115 867 (0.17) | 90/115 867 (0.08) | HR 3.14 (95% CI 2.42 to 4.08) | Socio-economic status, comorbidity and immigration status, dichotomised by birth in Sweden (yes/no) and inpatient care |
| Lee et al., 20136 | COPD | 674/23 594 (2.9) | 554/47 188 (1.2) | HR 2.47 (95% CI 2.21 to 2.76) | Age, sex, DM, end-stage renal disease, liver cirrhosis |
| Park et al., 201918 | COPD | NA/87 427 | NA/321 446 | HR 1.44 (95% CI 1.30 to 1.59) | Age, sex, smoking, low income (yes or no), CKD stage, BMI, previous use of immunosuppressants, DM |
| Ruzangi et al., 202022 | COPD | NA/32 283 | NA/444 929 | Crude IRR 4.07 (95% CI 2.95 to 5.61) | None adjusted |
| Asthma | NA/57 984 | NA/419 228 | Crude IRR 2.71 (95% CI 2.04 to 3.59) | ||
| Yii et al., 201911 | Asthma | 15/2173 (0.7) | 663/47 589 (1.4) | HR 0.54 (95% CI 0.32 to 0.90) | Age, sex, dialect group, level of education |
| Chronic bronchitis | 46/2326 (2.0) | 632/47 436 (1.3) | HR 0.95 (95% CI 0.68 to 1.31) | ||
| Case–control study | CAD | CAD/no TB, n/n (%) | Non-CAD/control, n/n (%) | OR | Variables adjusted for |
| Bhat et al., 201720 | Asthma | 68/267 (25.5) | 120/1335 (8.9) | 2.5 (95% CI 1.8 to 3.7) | Age, sex, occupation, annual family income, BMI, blood sugar, tobacco, alcohol consumption |
| Jick et al., 200619 | Asthma | 90/497 (18.1) | 185/1966 (9.4) | 1.4 (95% CI 1.0 to 2.0) | Glucocorticoid use, smoking, BMI, DM, pulmonary diseases and use of anti-rheumatic or immunosuppressive agents |
| Chronic bronchitis | 77/497 (15.5) | 154/1966 (7.8) | 2.0 (95% CI1.4 to 2.9) | ||
| Emphysema | 20/497 (4.0) | 13/1966 (0.7) | 3.2 (95% CI 1.3 to 7.6) | ||
| Lienhardt et al., 200512 | Asthma | 5/688 (0.7) | 16/688 (2.3) | 0.28 (95% CI 0.09 to 0.84) | Sex, HIV, smoking, marital status, family history of TB, number of adults in household, ownership of the house |
| Wu et al., 200721 | Bronchiectasis | 5/264 | 8/438 | 1.3 (95% CI 0.40 to 4.2) | Age, gender, pneumoconiosis, liver cirrhosis, DM, haemodialysis, lung cancer |
BMI: body mass index; DM: diabetes mellitus; NA: not available.
Figure 2.Forest plot including cohort studies. *Unadjusted IRR.
Figure 3.Forest plot including case–control studies.