Abstract
Background
Associations between tobacco use and poor TB treatment outcomes are well documented. However, for important outcomes such as TB recurrence or relapse and mortality during treatment, as well as for associations with smokeless tobacco (ST), the evidence is not summarized systematically.
Research Question
Is tobacco use associated with risk of poor treatment outcomes among people with TB?
Study Design and Methods
The MEDLINE, Embase, and Cumulative Index of Nursing and Allied Health Literature databases were searched on November 22, 2021. Epidemiologic studies reporting associations between tobacco use and at least one TB treatment outcome were eligible. Independent double-screening, extractions, and quality assessments were undertaken. Random effects meta-analyses were conducted for the two primary review outcomes (TB recurrence or relapse and mortality during treatment), and heterogeneity was explored using subgroups. Other outcomes were synthesized narratively.
Results
Our searches identified 1,249 records, of which 28 were included in the meta-analyses. Based on 15 studies, higher risk of TB recurrence or relapse was found with ever using tobacco vs never using tobacco (risk ratio [RR], 1.78; 95% CI, 1.31-2.43; I2 = 85%), current tobacco use vs no tobacco use (RR, 1.95; 95% CI, 1.59-2.40; I2 = 72%), and former tobacco use vs never using tobacco (RR, 1.84; 95% CI, 1.21-2.80; I2 = 4%); heterogeneity arose from differences in study quality, design, and participant characteristics. Thirty-eight studies were identified for mortality, of which 13 reported mortality during treatment. Ever tobacco use (RR, 1.55; 95% CI, 1.32-1.81; I2 = 0%) and current tobacco use (RR, 1.51; 95% CI, 1.09-2.10; I2 = 87%) significantly increased the likelihood of mortality during treatment among people with TB compared with never using tobacco and not currently using tobacco, respectively; heterogeneity was explained largely by differences in study design. Almost all studies in the meta-analyses scored high or moderate on quality assessments. Narrative synthesis showed that tobacco use was a risk factor for other unfavorable TB treatment outcomes, as previously documented. Evidence on ST was limited, but identified studies suggested an increased risk for poor outcomes with its use compared with not using it.
Interpretation
Tobacco use significantly increases the risk of TB recurrence or relapse and mortality during treatment among people with TB, highlighting the need to address tobacco use to improve TB outcomes.
Trial Registry
PROSPERO; No.: CRD42017060821; URL: https://www.crd.york.ac.uk/prospero/
Key Words: meta-analysis, risk of mortality, risk of recurrence, smoking, systematic review, tobacco, TB
Graphical Abstract
Take-home Points.
Study Question: Is tobacco use associated with the risk of recurrence and mortality among people with TB?
Results: A higher risk of TB recurrence or relapse was found with ever using tobacco vs never using tobacco (risk ratio [RR], 1.78; 95% CI, 1.31-2.43; I2 = 85%), current tobacco use vs no tobacco use (RR, 1.95; 95% CI, 1.59-2.40; I2 = 72%), and former tobacco use vs never using tobacco (RR, 1.84; 95% CI, 1.21-2.80; I2 = 4%). Moreover, ever tobacco use (RR, 1.55; 95% CI, 1.32-1.81; I2 = 0%) and current tobacco use (RR, 1.51; 95% CI, 1.09-2.10; I2 = 87%) significantly increased the likelihood of mortality among people with TB compared with never and no tobacco use, respectively. Evidence on smokeless tobacco was limited, but some studies suggested an increased risk of poor outcomes associated with its use compared with not using it.
Interpretation: Tobacco use significantly increases the risk of TB recurrence or relapse and mortality during treatment among people with TB, highlighting the need to address tobacco use to improve TB outcomes.
Tobacco use and TB contribute significantly to the global burden of disease, both individually and by acting synergistically. Although global tobacco use prevalence has declined (22.7% in 2007 to 19.6% in 2019), the total number of people using tobacco remains high because of population growth.1 More than 80% of the 1.3 billion individuals worldwide who use tobacco live in low-income and middle-income countries (LMICs), where the TB burden also is substantial.2 Not only is this dual burden a grave problem in LMICs, but also tobacco use rates are estimated to be higher (approximately 8%) among people with TB than in the general population.3 Assuming that the relative prevalence of tobacco use and TB remain stable, it is estimated that > 40 million TB-related deaths will be attributable to tobacco use by 2050.4 In addition, smokeless tobacco (ST) is consumed by > 300 million people worldwide, with some studies suggesting adverse associations with TB.5,6 In South Asian countries, ST use tends to be even higher than tobacco use alone among people with TB.7
TB is one of the most common chronic infectious diseases. In 2020, approximately 1.3 million TB-related deaths occurred among people without HIV, up from 1.2 million in 2019.8 COVID-19 has impeded further an already fragile global response to ending TB, with the first year-on-year estimated increase since 2005 in the number of TB deaths for 2020 and 2021.8,9 In these challenging times, integrating policies for tobacco control within routine TB care becomes particularly critical.
Moderate to strong evidence on the association of tobacco use with TB infection (latent) and disease (active TB) exists; however, evidence on TB mortality resulting from tobacco use was inconclusive in systematic reviews last conducted in 2007.10, 11, 12 Although one of those reviews also reported significant association of retreatment TB with tobacco use,12 this finding was based on only two studies. Since then, several studies have been published on this topic. Two systematic reviews in 2020 further identified negative impacts of tobacco use on TB treatment.13,14 However, these reviews presented combined outcomes, one as “poor outcomes” (combining failure, loss to follow-up, and death)13 and the other as “unfavourable outcomes” (combining failure, transfer, loss to follow-up, and death).14 Both reviews did not include TB recurrence or relapse explicitly, and the latter included only current tobacco use, which limited the scope.
Given the importance of reducing TB recurrence or relapse especially in the context of drug resistance and related mortality to the End Tuberculosis Strategy,15 we determined their association with tobacco use. Our risk estimates offer what was missed in previous meta-analyses, including an expanded remit to include all tobacco products.
Study Design and Methods
This review was registered with PROSPERO (Identifier: CRD42017060821) and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (e-Appendix 1).16
Search Strategy and Selection Criteria
Three electronic databases (MEDLINE, Embase, and Cumulative Index of Nursing and Allied Health Literature) were searched from inception to November 22, 2021. Search terms for tobacco use (smoking, smokeless) were developed from previous reviews, whereas those for TB outcomes were developed from a monograph on TB and tobacco control.17 Searches were conducted by combining both sets of terms (e-Appendix 2); no language restrictions were applied during searching.
We included epidemiologic studies (cohort, case control, and cross-sectional) on people with TB (not restricted by age, sex, comorbidities, pulmonary or extrapulmonary presentation, or geographic region) that measured the effect of ever, current, or past tobacco use (with smoke and smokeless) on TB treatment outcomes (Table 1). Studies that included both people with drug-susceptible and drug-resistant TB (DRTB) were eligible and were analyzed as explained herein. However, studies on treatment outcomes exclusively among people with DRTB were excluded because the treatment course and its association with tobacco is likely to be different in this population. Similarly, studies on treatment outcomes exclusively among people with retreatment TB were excluded, whereas studies that included both people with new and retreatment TB were eligible. Our primary review outcomes were TB recurrence or relapse and mortality during treatment; within the outcome of mortality, we also included all-cause mortality among people with TB and TB mortality. Secondary outcomes were default, failure, unsuccessful treatment (combined mortality, default, and failure), delayed sputum conversion, treatment nonadherence, severity of disease, and drug resistance development. Studies reporting secondhand tobacco smoke exposure or unclear outcomes were excluded. Randomized controlled trials, reviews, case series, and case reports also were excluded.
Table 1.
Definitions for TB Treatment Outcomes
| Outcome | Definition |
|---|---|
| Recurrence or relapsea | Those previously treated for TB who were declared cured or who completed treatment at the end of the most recent course and again receive a diagnosis of an episode of TB (either a true relapse or a new episode of TB caused by reinfection, also known as recurrence). |
| Mortalityb |
|
| Treatment defaulta | Those previously treated for TB who were declared lost to follow-up at the end of the most recent course of treatment |
| Treatment failurea | Those treated for TB for whom the most recent course of treatment failed |
| Delayed sputum conversiona | Delayed conversion rate of positive sputum smear results in patients with pulmonary TB at follow-up (after 2 months of therapy). Nonconversion was defined as persistent positive sputum smear results for patients with TB at the end of the 2- or 3-mo intensive phase of treatment. |
| Poor treatment adherence | Both compliance with the number of days anti-TB drugs were taken or the number of tablets taken of the prescribed amount is considered an acceptable measure of adherence. |
| Severity of diseaseb | Higher bacillary load (smear grading 3+ and higher), more cavitation (advanced radiologic lesions), hospitalized, symptoms (cough, dyspnea, upper zone involvement) |
| Drug-resistant TBa | TB that is resistant to ≥ 1 first-line antituberculosis drugs |
We screened the references of included articles and relevant systematic reviews to identify additional studies. All identified reports underwent deduplication and independent double screening by two of the authors (A. R. and M. B.) based on title and abstract. Full-text review of potentially relevant articles also was assessed independently by two reviewers (F. S. and M. B.), whereas a third reviewer (A. L. V. or O. D.) was consulted when consensus could not be reached. During screening, we considered only studies written in English because of constrained resources for translation.
Data Extraction and Synthesis
Groups of two reviewers (A. R. and A.-M. M. or A. J. and A. L. V.) independently extracted data from included studies using a piloted data extraction form specifically designed for this review. The main sections included: study design and characteristics; sample size and participant demographics; and exposure and outcome details, including type of tobacco (with smoke or smokeless), type of exposure (ever, current, or past), frequency of outcome among exposed and unexposed participants, and the measures of effect reported. The extraction forms were compared, and disagreements were resolved in the first instance by discussion or with a third reviewer (O. D.) if consensus could not be reached.
Risk of bias was evaluated using the Quality Assessment Tool for Quantitative Studies,19 and each study was rated as strong, moderate, or weak in the following categories: study design, analysis, withdrawals and dropouts, data collection, selection bias, and confounders. Based on these, an overall rating was provided. Subsequently, we considered the influence of studies with weak methodologic quality on summary effect sizes.
Meta-analysis was carried out using RevMan version 5.4 software (Cochrane Collaboration).20 We classified the studies according to tobacco type (with smoke or smokeless) and exposure type (ever vs never use or current use vs current nonuse or past use vs never use) for each treatment outcome and performed meta-analysis for groups that included two or more studies. We limited the meta-analysis to our two primary outcomes (TB recurrence or relapse and mortality during treatment) and narratively synthesized the additional outcomes because they largely were covered in two reviews published in 2020.13,14
For the meta-analyses, we used the number of individuals exposed, number of individuals unexposed, and events observed in both those groups as reported in the individual studies to calculate risk ratios (RRs) and 95% CIs. These estimates were pooled using random effects models and are presented as forest plots. Heterogeneity of included studies was assessed using the I2 statistic, and the reasons for heterogeneity were explored through subgroup analyses according to study design, quality, and presence of comorbidities among participants. In addition, sensitivity analyses were performed by removing (1) studies that included people with DRTB and (2) studies that included people with retreatment TB. Finally, the presence of publication bias was assessed based on funnel plots, and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessments were used to rate the certainty of evidence for the primary outcomes.21 We did not explore the dose-response effect of duration and amount of tobacco use on TB outcomes.
Results
Our searches retrieved 1,249 records. After removing duplications, 1,131 records were screened on titles and abstracts, and 887 records were excluded. Of the remaining 244 records, we retrieved and screened 243 full texts and excluded an additional 116 records (Fig 1, e-Appendix 3).
Figure 1.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart showing study selection.
In total, 127 records were included (Table 2).22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148 They comprised 123 unique studies; four studies were reported in two publications each.24,25,62,63,82,83,123,124 For the two primary outcomes, we included 36 studies (20 on recurrence or relapse36,39,43,47,51,64,67,71,84,88,94,96,97,100,109,112,118,123,127,147 and 16 on mortality during treatment.32,54,55,57,66,70,74,90,95,99,103,111,120,125,126,135 However, data from eight studies could not be pooled (five on recurrence or relapse39,47,67,123,127 and three on mortality55,66,90) because the numbers required for computing RRs were not reported. Therefore, 15 studies were included in the TB recurrence or relapse meta-analyses and 13 studies were included in the mortality during treatment meta-analyses (e-Table 1).
Table 2.
Summary of Included Studies
| Reference | Study Year | Country, Region | Study Design | Sample Size | Age; Male Sex (%); Habits, Comorbidities | PTB/EPTB; DRTB; Retreatment | Exposure(s) | Outcome(s) | Study Quality |
|---|---|---|---|---|---|---|---|---|---|
| Liu et al22 (1998) | 1989—1991 | China, WPR | Retrospective cohort | 1 million | 35+; NR; NR | PTB; yes; NR | Current tobacco use | TB mortality | Strong |
| Lam et al23 (2001) | 1997—1999 | Hong Kong, WPR | Case-control | 40,561 | 35+; 47.4%; NR | PTB; NR; NR | Past tobacco use | TB mortality | Moderate |
| Leung et al24 (2002) Leung et al25 (2003) |
1996 | Hong Kong, WPR | Retrospective cohort | 893 | 16+; > 68.0%; Chronic disease | PTB and EPTB; yes (4.9%); yes | Ever tobacco use | Unsuccessful, delayed conversion | Moderate |
| Santha et al26 (2002) | 1999—2000 | India, SEAR | Retrospective cohort | 676 | 14-87; 75.0%; Alcohol use | PTB and EPTB; yes; yes | Current tobacco use | Failure, default | Moderate |
| Gajalakshmi et al27 (2003) | 1995—2000 | India, SEAR | Case-control | 35,000 | 25-69; 100%; NR | PTB; yes; yes | Ever tobacco use (cigarette, bidi) | TB mortality | Strong |
| Salami and Oluboyo28 (2003) | 1991—1999 | Nigeria, AFR | Retrospective cohort | 1,741 | 15+; 45.6%; alcohol use, HIV, chronic disease | PTB; NR; no | Current tobacco use | Default | Moderate |
| Chang et al29 (2004) | 1999—2001 | Hong Kong, WPR | Case-control (nested) | 408 | 15+; 86.3%; alcohol and drug use, HIV, hepatitis | PTB; yes; yes | Ever, current, past tobacco use | Default | Strong |
| Sitas et al30 (2004) | 1994—1998 | South Africa, AFR | Case-control | 5,340 | 25+; NR; NR | NR | Ever tobacco use | TB mortality | Strong |
| Abal et al31 (2005) | 1998—2000 | Kuwait, EMR | Prospective cohort | 339 | Adults; 78.8%; alcohol and drug use, DM | PTB; no; NR | Current tobacco use | Delayed conversion | Moderate |
| Altet-Gomez et al32 (2005) | 1996—2002 | Spain, EUR | Retrospective cohort | 13,038 | 14+; 67.6%; alcohol and drug use, HIV | PTB and EPTB; NR; NR | Current tobacco use | On-treatment mortality, severity | Strong |
| Balbay et al33 (2005) | 1998—2003 | Turkey, EUR | Retrospective cohort | 154 | 16-82; 65.6%; alcohol use | PTB and EPTB; no; yes | Current tobacco use | Nonadherence | Strong |
| Chandrasekaran et al34 (2005) | 1999—2002 | India, SEAR | Prospective cohort | 1,406 | All ages; 69.5%; alcohol use | PTB; NR; no | Current tobacco use | Default | Moderate |
| Gupta et al35 (2005) | 1992—1999 | India, SEAR | Prospective cohort | 99,570 | 35+; NR; NR | PTB; NR; NR | Ever tobacco use (cigarette, bidi) and smokeless | TB mortality | Strong |
| Thomas et al36 (2005) | 2000—2001 | India, SEAR | Prospective cohort | 534 | All ages; 71.2%; alcohol use | PTB; yes (5.6%); no | Current tobacco use | Recurrence or relapse | Strong |
| Kolappan et al37 (2006) | 2000—2003 | India, SEAR | Retrospective cohort | 1,800 | 15+; 100%; alcohol use | PTB and EPTB; yes; yes | Current tobacco use (cigarette, bidi) | All-cause mortality | Moderate |
| Babb et al38 (2007) | 2003—2004 | South Africa, AFR | Retrospective cohort | 220 | 18-65; NR; excluded people with HIV | PTB; no; no | Current tobacco use | Delayed conversion | Strong |
| Cacho et al39 (2007) | 1992—2004 | Spain, EUR | Retrospective cohort | 645 | Mean 38.6 ± 9.5; 75.0%; alcohol and drug use, HIV | PTB and EPTB; NR; NR | Current tobacco use | Recurrence/relapse | Strong |
| Guler et al40 (2007) | 2000—2005 | Turkey, EUR | Retrospective cohort | 306 | 17-85; 63.1%; DM, excluded people with HIV | PTB; yes; no | Current tobacco use | Delayed conversion | Weak |
| Jakubowiak et al41 (2007) | 2003 | Russia, EUR | Case-control | 1,805 | 16+; 73.0%; alcohol and drug use | PTB; no; no | Current tobacco use | Default | Moderate |
| Wang et al42 (2007) | 2002—2003 | Taiwan, WPR | Retrospective cohort | 523 | All ages; NR; alcohol use, chronic disease | PTB and EPTB; yes; no | Ever tobacco use | All-cause mortality, failure, default | Strong |
| d’Arc Lyra Batista et al43 (2008) | 2001—2006 | Brazil, AMR | Prospective cohort | 711 | 13+; 64.5%; alcohol use, HIV | PTB and EPTB; NR; no | Current tobacco use | Recurrence or relapse | Strong |
| Jha et al44 (2008) | 2001—2003 | India, SEAR | Case-control | 152,058 | 30-69; NR; NR | PTB and EPTB; NR; NR | Current tobacco use (cigarette, bidi) and smokeless | TB mortality | Strong |
| Pinidiyapathirage et al45 (2008) | 2001—2002 | Sri Lanka, SEAR | Prospective cohort | 892 | All ages; 74.5%; alcohol and drug use | PTB and EPTB; NR; yes | Current tobacco use | Default | Moderate |
| Vasantha et al46 (2008) | 1999—2004 | India, SEAR | Retrospective cohort | 3,818 | All ages; 73.0%; alcohol use | NR; yes; yes | Current tobacco use | On-treatment mortality | Moderate |
| Jee et al47 (2009) | 1992—2006 | South Korea, WPR | Prospective cohort | 1,294,504 | 30-95; NR; alcohol use | PTB; NR; yes | Current, past tobacco use | Recurrence or relapse, TB mortality | Strong |
| Jiang et al48 (2009) | 1989—1991 | China, WPR | Case-control | 64,899 | 40+; NR; NR | PTB; NR; NR | Ever tobacco use (cigarette, noncigarette) | TB mortality | Strong |
| Kherad et al49 (2009) | 1999—2002 | Switzerland, EUR | Retrospective cohort | 252 | 15-92; 47.0%; alcohol and drug use, HIV | PTB and EPTB; yes; yes | Current tobacco use | Unsuccessful | NA |
| Kittikraisak et al50 (2009) | 2005—2006 | China, WPR | Prospective cohort | 554 | 18+; 69.0%; alcohol and drug use, 100% HIV | PTB and EPTB; yes; NR | Current tobacco use | Default | Strong |
| Millet et al51 (2009) | 1995—2005 | Spain, EUR | Retrospective cohort | 681 | Median, 36; 67.7%; alcohol and drug use, HIV | PTB and EPTB; yes; no | Current tobacco use | Recurrence or relapse | Moderate |
| Metanat et al52 (2010) | 2005—2006 | Iran, EMR | Case-control | 200 | 18+; 59.5%; comorbidities excluded | PTB; no; no | Current, past tobacco use | Delayed conversion | Weak |
| Siddiqui et al53 (2010) | 2007—2008 | Ireland, EUR | Retrospective cohort | 53 | Adults; NR; comorbidities excluded | PTB; no; NR | Ever tobacco use | Delayed conversion | Moderate |
| Silva et al54 (2010) | 2005—2007 | Brazil, AMR | Retrospective cohort | 311 | All ages; NR; HIV | PTB and EPTB; NR; no | Current tobacco use | On-treatment mortality | Strong |
| Tabarsi et al55 (2010) | 2003—2009 | Iran, EMR | Retrospective cohort | 1,897 | Mean, 50.2 ± 21.1; 51.3%; HIV | PTB; yes; yes | Current tobacco use | On-treatment mortality | NA |
| Vijay et al56 (2010) | 2004—2005 | India, SEAR | Case-control (nested) | 1,374 | 15+; NR; alcohol use | PTB; NR; no | Current tobacco use | Default | Strong |
| Dujaili et al57 (2011) | 2006—2008 | Malaysia, WPR | Retrospective cohort | 524 | 15+; 70.4%; alcohol and drug use, chronic disease | NR; NR; no | Ever tobacco use | On-treatment mortality, failure, default | Strong |
| Garcia-Garcia et al58 (2011) | 2006—2007 | Spain, EUR | Prospective cohort | 1,490 | 18+; 61.7%; alcohol and drug use, HIV | PTB and EPTB; yes; yes | Ever tobacco use | All-cause mortality, default | NA |
| Maruza et al59 (2011) | 2007—2009 | Brazil, AMR | Prospective cohort | 273 | 18-67; 69.7%; alcohol and drug use, 100% HIV | PTB and EPTB; NR; NR | Current, past tobacco use | Default | Strong |
| Nik Mahdi et al60 (2011) | 2006—2007 | Malaysia, WPR | Retrospective cohort | 472 | Mean 45.0 ± 17.9; 66.9%; HIV, DM | PTB; NR; Yes | Current tobacco use | Unsuccessful | Moderate |
| Solliman et al61 (2011) | 2008—2009 | Libya, EMR | Retrospective cohort | 327 | NR | PTB; NR; NR | Current tobacco use | Unsuccessful | NA |
| Tachfouti et al62 (2011) Tachfouti et al63 (2013) |
2004—2009 | Morocco, EMR | Prospective cohort | 1,039 | 18-79; 95.7%; alcohol use | PTB and EPTB; NR; no | Current tobacco use | Failure, default | Strong |
| Anaam et al64 (2012) | 2007—2008 | Yemen, EMR | Case-control (nested) | 220 | 15+; 58.0%; Khat use, DM | PTB; NR; no | Current tobacco use | Recurrence or relapse | Moderate |
| Chiang et al65 (2012) | 2001—2003 | Taiwan, WPR | Retrospective cohort | 302 | Adults; 68.9%; chronic disease, not HIV | PTB and EPTB; no; no | Ever tobacco use | Unsuccessful | Strong |
| Feng et al66 (2012) | 2007—2009 | Taiwan, WPR | Prospective cohort | 1,059 | Mean, 64.7 ± 19.2; 77.3%; HIV, chronic disease | PTB and EPTB; yes; no | Current tobacco use | On-treatment mortality, delayed conversion | Moderate |
| Lisha et al67 (2012) | 2008—2010 | India, SEAR | Retrospective cohort | 224 | 15-80; 81.0%; alcohol and drug use, DM | PTB; yes; no | Current tobacco use | Recurrence, all-cause mortality, failure, default | NA |
| Tabarsi et al68 (2012) | 2004—2007 | Iran, EMR | Retrospective cohort | 111 | 22-70; 96.3%; alcohol and drug use, 100% HIV | PTB and EPTB; NR; yes | Current tobacco use | Unsuccessful, all-cause mortality | Moderate |
| Visser et al69 (2012) | 2005—2008 | South Africa, AFR | Prospective cohort | 113 | 22-43; 69.9%; alcohol use, HIV | PTB; yes; no | Ever tobacco use | Delayed conversion | Strong |
| Alavi-Naini et al70 (2013) | 2002—2011 | Iran, EMR | Retrospective cohort | 715 | 15+; 52.4%; alcohol and drug use, HIV, chronic disease | PTB; NR; yes | Current tobacco use | On-treatment mortality | Strong |
| Bonacci et al71 (2013) | 1995—2010 | Mexico, AMR | Prospective cohort | 1,062 | 15+; 59.0%; alcohol and drug use, DM | PTB; yes; yes | Current tobacco use | Unsuccessful, recurrence or relapse | Strong |
| Maciel et al72 (2013) | 2002—2006 | Brazil, AMR | Case-control (nested) | 293 | 18-60; 66.0%; alcohol use | PTB; no; no | Current, past tobacco use | Delayed conversion | Strong |
| Mnisi et al73 (2013) | 2007—2010 | South Africa, AFR | Retrospective cohort | 202 | 21-72; 98.0%; HIV | PTB and EPTB; yes; yes | Current tobacco use | Unsuccessful | Moderate |
| Reddy et al74 (2013) | 2009 | India, SEAR | Prospective cohort | 413 | 15+; 81.3%; alcohol use, HIV, DM | PTB; NR; no | Current tobacco use | On-treatment mortality, failure, default | Moderate |
| Reed et al75 (2013) | NR | South Korea, WPR | Prospective cohort | 657 | 20+; 84.0%; alcohol use, DM | PTB; yes; yes | Current tobacco use | TB mortality | Strong |
| Slama et al76 (2013) | 2009—2010 | Morocco, EMR | Case-control | 320 | 15+; 80.6%; alcohol use | PTB and EPTB; NR; yes | Current tobacco use | Default | Strong |
| Ahmad and Velhal77 (2014) | 2006—2007 | India, SEAR | Prospective cohort | 281 | All ages; 74.5%; NR | PTB; NR; no | Current tobacco use and smokeless | Nonadherence | Moderate |
| Alo et al78 (2014) | 2010—2012 | Fiji, WPR | Retrospective cohort | 395 | All ages; 57.2%; DM, hypertension | PTB and EPTB; NR; yes | Current tobacco use | Unsuccessful | Moderate |
| Cherkaoui et al79 (2014) | 2010—2011 | Morocco, EMR | Case-control | 277 | Adults; 66.0%; alcohol and drug use, HIV, DM | PTB and EPTB; yes; yes | Current tobacco use | Default | Strong |
| Choi et al80 (2014) | 2005—2012 | South Korea, WPR | Prospective cohort | 663 | 20+; 84.9%; alcohol and drug use, DM | PTB; yes; yes | Current tobacco use | Unsuccessful, default | Moderate |
| de Boer et al81 (2014) | 2007—2009 | Brazil, AMR | Prospective cohort | 89 | NR; 85.4%; alcohol and drug use, HIV, DM | PTB; no; NR | Current, past tobacco use | Delayed conversion | Strong |
| Ibrahim et al82 (2014) Ibrahim et al83 (2015) |
2011—2012 | Nigeria, AFR | Cross-sectional | 378 | 15+; 60.6%; Alcohol use, HIV | PTB; NR; yes | Current tobacco use | Nonadherence, failure, default | Moderate |
| Louwagie and Ayo-Yusuf84 (2014) | 2011—2013 | South Africa, AFR | Cross-sectional | 1,926 | 18+; 52.3%; alcohol and drug use, HIV | NR | Current tobacco use | Recurrence or relapse | Moderate |
| Lucenko et al85 (2014) | 2006—2010 | Latvia, EUR | Retrospective cohort | 2,476 | 15+; 69.0%; alcohol and drug use, HIV | PTB and EPTB; no; no | Current tobacco use | Unsuccessful | Moderate |
| Pefura-Yone et al86 (2014) | 2009—2012 | Cameroon, AFR | Prospective cohort | 953 | 15+; NR; alcohol and drug use, HIV, DM | PTB; yes; NR | Current tobacco use | Delayed conversion | Strong |
| Przybylski et al87 (2014) | 2001—2010 | Poland, EUR | Retrospective cohort | 2,025 | 16-98; 67.0%; alcohol and drug use, HIV | PTB and EPTB; NR; no | Current tobacco use | Unsuccessful, adverse reaction to TB drugs | Moderate |
| Yen et al88 (2014) | 2005—2011 | Taiwan, WPR | Retrospective cohort | 5,567 | 18+; 62.9%; alcohol use, HIV, cancer | PTB and EPTB; NR; NR | Current tobacco use | Recurrence or relapse | Strong |
| Chuang et al89 (2015) | 2010—2012 | Taiwan, WPR | Case-control | 359 | 16+; > 66.0%; Alcohol use | PTB; NR; NR | Current, past tobacco use | Delayed conversion | Strong |
| Driessche et al90 (2015) | NR | DRC, AFR | Prospective cohort | 533 | Median, 38; 39.1%; alcohol and drug use, 100% HIV | PTB and EPTB; NR; NR | Ever tobacco use | On-treatment mortality, default, unsuccessful | Strong |
| Gegia et al91 (2015) | 2011—2013 | Georgia, EUR | Prospective cohort | 524 | 18+; 87.2%; alcohol and drug use, HIV | PTB; yes; NR | Current, past tobacco use and smokeless | Unsuccessful | Strong |
| Kanda et al92 (2015) | 2000—2002 | Japan, WPR | Retrospective cohort | 86 | 20-80; 69.8%; alcohol use, DM, excluded people with HIV | PTB; no; no | Ever tobacco use | Delayed conversion | Strong |
| Khan et al93 (2015) | 2009—2010 | Pakistan, EMR | Retrospective cohort | 472 | 15+; 50.4%; HIV, DM, hepatitis | PTB and EPTB; NR; NR | Current tobacco use | Failure | Moderate |
| Leung et al94 (2015) | 2001—2012 | Hong Kong, WPR | Prospective cohort | 16,345 | All ages; NR; alcohol and drug use, HIV, DM | PTB and EPTB; yes (3.1%); yes | Current, past tobacco use | Unsuccessful, all-cause mortality, default, delayed conversion, recurrence | Strong |
| Liew et al95 (2015) | 2012—2013 | Malaysia, WPR | Retrospective cohort | 21,582 | All ages; 65.1%; HIV, DM | PTB and EPTB; yes (0.3%); yes | Current tobacco use | Unsuccessful, all-cause mortality | Strong |
| Mahishale et al96 (2015) | 2012—2013 | India, SEAR | Prospective cohort | 2,350 | 15+; 74.8%; comorbidities excluded | PTB; NR; no | Current, past tobacco use (bidi, cigarette) | Recurrence or relapse | Strong |
| Moosazadeh et al97 (2015) | 2002—2013 | Iran, EMR | Retrospective cohort | 1,271 | 15+; 56.2%; DM | PTB; NR; NR | Current tobacco use | Recurrence or relapse | Strong |
| Roy et al98 (2015) | 2009—2011 | India, SEAR | Case-control | 158 | Median 40; 63.3%; alcohol use | PTB; NR; no | Current tobacco use | Default | Strong |
| Yamana et al99 (2015) | 2010—2013 | Japan, WPR | Retrospective cohort | 877 | All ages; 64.5%; chronic disease | PTB; yes; no | Current tobacco use | On-treatment mortality | Strong |
| Ahmad et al100 (2016) | 2015—2016 | Pakistan, EMR | Case-control | 332 | > 10 y; 100%; comorbidities excluded | PTB; yes; no | Ever tobacco use (any form) | Recurrence or relapse | Strong |
| Ajili et al101 (2016) | NR | Tunisia, EMR | Retrospective cohort | 355 | All ages; NR; alcohol and drug use, chronic disease | PTB; NR; NR | Current tobacco use | Delayed conversion | NA |
| Rathee et al102 (2016) | 2010—2011 | India, SEAR | Prospective cohort | 101 | 18-65; 65.3%; NR | PTB; no; NR | Current, past tobacco use (cigarette, bidi) | Default | Moderate |
| Rodrigo et al103 (2016) | 2006—2013 | Spain, EUR | Prospective cohort | 5,182 | 18+; 62.0%; alcohol and drug use, HIV | PTB and EPTB; yes (6.9%); NR | Current tobacco use | On-treatment mortality | Moderate |
| Veerakumar et al104 (2016) | 2013—2014 | India, SEAR | Cross-sectional | 235 | 15+; 79.6%; alcohol use | PTB; NR; yes | Current tobacco use and smokeless | Unsuccessful | Strong |
| Yen et al105 (2016) | 2011—2012 | Taiwan, WPR | Retrospective cohort | 1,608 | 18+; 67.5%; alcohol use, HIV, chronic disease | PTB and EPTB; NR; yes | Current, past tobacco use | All-cause mortality | Strong |
| Altet et al106 (2017) | 2013—2014 | Spain, EUR | Prospective cohort | 525 | Mean, 34.0 ± 13.2; 62.1%; alcohol and drug use, HIV | PTB; yes; NR | Current tobacco use | Delayed conversion | Strong |
| Balian et al107 (2017) | 2014—2016 | Armenia, EUR | Retrospective cohort | 992 | Mean, 42.0 ± 17.5; 74.8%; alcohol use, HIV | PTB and EPTB; no; no | Current tobacco use | Unsuccessful | Strong |
| Jaber et al108 (2017) | 2014—2015 | Yemen, EUR | Prospective cohort | 273 | 15+; 54.9%; Khat use, chronic disease | PTB; no; no | Current tobacco use | Unsuccessful, prolonged treatment duration | Strong |
| Kalema et al109 (2017) | 2008—2013 | Uganda, AFR | Retrospective cohort | 234 | 18+; 58.6%; HIV | PTB; yes (3.0%); no | Ever tobacco use | Recurrence or relapse | Weak |
| Musteikiene et al110 (2017) | 2015—2016 | Lithuania, EUR | Prospective cohort | 52 | Adults; 76.9%; alcohol use, comorbidities excluded | PTB; no; no | Current tobacco use | Delayed conversion | Strong |
| Nagu et al111 (2017) | 2014—2015 | Tanzania, AFR | Prospective cohort | 253 | 18+; 66.4%; alcohol and drug use, HIV, DM | PTB and EPTB; no; NR | Ever tobacco use | On-treatment mortality | Strong |
| Shamaei et al112 (2017) | 2009—2012 | Iran, EMR | Case-control | 447 | 14+; > 51.0%; alcohol and drug use, HIV, chronic disease | PTB and EPTB; yes; yes | Current tobacco use | Recurrence or relapse | Moderate |
| Tola et al113 (2017) | 2014 | Ethiopia, AFR | Cross-sectional | 698 | 18-90; 57.4%; alcohol and drug use, HIV | PTB and EPTB; yes (9.6%); yes | Current tobacco use | Nonadherence | Weak |
| Cailleaux-Cezar et al114 (2018) | 2004—2012 | Brazil, AMR | Retrospective cohort | 174 | Adults; 66.0%; alcohol use, DM, cancer, chronic disease | PTB; no; no | Current tobacco use | Unsuccessful, delayed conversion | Strong |
| Dizaji et al115 (2018) | 2005—2015 | Iran, EMR | Retrospective cohort | 2,299 | Adults; 50.0%; alcohol and drug use, HIV, chronic disease | PTB and EPTB; NR; no | Current tobacco use | TB mortality | Moderate |
| Madeira et al116 (2018) | 2014 | Brazil, AMR | Case-control | 478 | 18+; 59.2%; alcohol and drug use, HIV, DM | PTB; no; yes | Ever tobacco use | Nonadherence | Strong |
| Mukhtar and Butt117 (2018) | 2013—2014 | Pakistan, EMR | Prospective cohort | 614 | 15+; 51.0%; alcohol and drug use, DM | PTB; no; no | Current tobacco use | Unsuccessful | Strong |
| Rosser et al118 (2018) | 1994—2014 | UK, EUR | Case-control (nested) | 246 | Adults; 51.2%; alcohol use, chronic disease | PTB and EPTB; yes; no | Current tobacco use | Recurrence or relapse | Strong |
| Aguilar et al119 (2019) | 2007—2015 | Brazil, AMR | Case-control | 284 | 15+; 63.3%; alcohol use | PTB; no; yes | Ever, current, past tobacco use | Failure | Strong |
| Azeez et al120 (2019) | 2013—2015 | South Africa, AFR | Retrospective cohort | 910 | Adults; > 58.0%; alcohol and drug use, HIV | PTB; yes; no | Current tobacco use | On-treatment mortality | Strong |
| Castro et al121 (2019) | 2016 | Brazil, AMR | Cross-sectional | 180 | All ages; 75.6%; alcohol and drug use, 100% HIV | PTB and EPTB; yes (2.9%); no | Current tobacco use | TB mortality, default | Weak |
| Gupta et al122 (2019) | 2017—2018 | India, SEAR | Prospective cohort | 72 | 18-80; 52.8%; alcohol use, chronic disease | PTB and EPTB; no; no | Ever tobacco use (cigarette, bidi) and smokeless | Unsuccessful | Moderate |
| Gupte et al123 (2019) Thomas et al124 (2019) |
2014—2017 | India, SEAR | Prospective cohort | 455 | 18+; 65.0%; alcohol use, HIV, depression | PTB; no; no | Current, past tobacco use (cigarette, bidi) | Unsuccessful, all-cause mortality, failure, recurrence or relapse | Moderate |
| Hameed et al125 (2019) | 2018—2019 | Pakistan, EMR | Cross-sectional | 170 | 13-80; 54.1%; HIV, chronic disease | PTB; no; yes | Current tobacco use | On-treatment mortality | Moderate |
| Ma et al126 (2019) | 2008—2011 | China, WPR | Retrospective cohort | 1,256 | 15+; 72.7%; alcohol use | PTB; no; no | Current, past tobacco use | Unsuccessful, on-treatment mortality, failure, delayed conversion, severity | Moderate |
| Mathur et al127 (2019) | 2016—2018 | India, SEAR | Prospective cohort | 187 | All ages; 59.9%; alcohol and drug use, HIV | PTB; NR; no | Current tobacco use | Recurrence or relapse | NA |
| Nakao et al128 (2019) | 2008—2016 | Japan, WPR | Retrospective cohort | 137 | All ages; 60.5%; chronic disease | PTB; yes (5.8%); NR | Ever tobacco use | Severity | Moderate |
| Paunikar et al129 (2019) | 2015 | India, SEAR | Retrospective cohort | 440 | NR; 56.6%; alcohol and drug use, HIV | PTB and EPTB; NR; yes | Current tobacco use | Default | Moderate |
| Reimann et al130 (2019) | 2012—2017 | Germany, EUR | Retrospective cohort | 247 | All ages; 71.3%; alcohol and drug use, HIV, chronic disease | PTB; yes; NR | Ever tobacco use | Delayed conversion, Severity | Strong |
| Sharma et al131 (2019) | 2015—2016 | India, SEAR | Case-control | 741 | 18+; 60.0%; alcohol and drug use, HIV, DM | PTB; NA; yes | Current tobacco use and smokeless | Drug resistance | Strong |
| Wardani and Wahono132 (2019) | 2016 | Indonesia, WPR | Case-control | 93 | All ages; 50.0%; DM | PTB; NR; NR | Current tobacco use | Delayed conversion | Strong |
| Ajema et al133 (2020) | 2017 | Ethiopia, AFR | Cross-sectional | 249 | 15+ years; alcohol and drug use, HIV | PTB and EPTB; NR; yes | Current tobacco use | Nonadherence | Moderate |
| Bezerra et al134 (2020) | 2012—2019 | Brazil, AMR | Prospective cohort | 148 | 18+; 65.0%; alcohol and drug use, HIV | PTB and EPTB; NR; yes | Ever tobacco use | Default | Strong |
| Khan et al135 (2020) | 2006—2009 | Malaysia, WPR | Retrospective cohort | 9,337 | All ages; 69.0%; alcohol and drug use, chronic disease | PTB and EPTB; NR; yes | Ever tobacco use | On-treatment mortality, default, nonadherence | Strong |
| Pore et al136 (2020) | 2016—2017 | India, SEAR | Cross-sectional | 88 | 18-70; 77.3%; alcohol use | NR; yes (1.1%); yes | Current tobacco use and smokeless | Nonadherence | NA |
| Sembiah et al137 (2020) | 2014—2017 | India, SEAR | Prospective cohort | 662 | 18+; 53.2%; alcohol use, DM | PTB and EPTB; NR; yes | Current tobacco use | Unsuccessful | NA |
| Serpoosh et al138 (2020) | 2010—2018 | Iran, EMR | Case-control | 286 | All ages; > 50.0%; drug use | NR | Current tobacco use | Failure | Moderate |
| Takasaka et al139 (2020) | 2015—2018 | Japan, WPR | Retrospective cohort | 79 | 40+; 100%; alcohol use, chronic disease | PTB; no; NR | Ever tobacco use | Delayed conversion | Moderate |
| Tok et al140 (2020) | 2014—2017 | Malaysia, WPR | Retrospective cohort | 97,505 | All ages; 64.3%; HIV | PTB and EPTB; no; yes | Current tobacco use | Unsuccessful, all-cause mortality | Strong |
| Asemahagn141 (2021) | 2019 | Ethiopia, AFR | Prospective cohort | 282 | 15+; 59.0%; alcohol use, HIV, DM | PTB; NR; yes | Current tobacco use | Delayed conversion | Strong |
| Bhatti et al142 (2021) | 2016—2018 | Malaysia, WPR | Retrospective cohort | 606 | 18+; 73.4%; HIV, chronic disease | PTB; NR; yes | Ever, current, past tobacco use | Delayed conversion | Strong |
| Cao et al143 (2021) | 2018—2019 | China, WPR | Case-control | 1,206 | 14+; 65.2%; alcohol and drug use, chronic disease | PTB; NR; yes | Current tobacco use | Severity | Strong |
| Carter et al144 (2021) | 2015—2017 | Liberia, AFR | Retrospective cohort | 337 | 14+; 76.3%; alcohol use, HV, cancer | PTB and EPTB; yes (38.3%); yes (19.0%) | Current, past tobacco use | All-cause mortality | Strong |
| de Vargas et al145 (2021) | 2018 | Brazil, AMR | Prospective cohort | 92 | 18+; 57.6%; alcohol and drug use, HIV | PTB; NR; NR | Current tobacco use | Unsuccessful | Moderate |
| Kassim et al146 (2021) | 2016—2017 | Somalia, AFR | Cross-sectional | 400 | 15+; 65.5%; HIV, DM | PTB and EPTB; NR; yes | Current tobacco use | Unsuccessful | Moderate |
| Lin et al147 (2021) | 2010—2018 | China, WPR | Prospective cohort | 634 | 14+; 69.9%; NR | PTB and EPTB; NR; no | Current, past tobacco use | Recurrence or relapse | Strong |
| Mokti et al148 (2021) | 2013—2018 | Malaysia, WPR | Retrospective cohort | 2,641 | All ages; 60.2%; HIV, DM | PTB; no; yes | Current tobacco use | Delayed conversion | Strong |
AFR = African region; AMR = American region; DM = diabetes mellitus; DRC = Democratic Republic of Congo; DRTB = drug-resistant TB; EMR = Eastern Mediterranean region; EPTB = extrapulmonary TB; EUR = European region; NA = not applicable; NR = not reported; PTB = pulmonary TB; SEAR = South-East Asian region; WPR = Western Pacific region.
The studies were published from 1998 through 2021, covering data from 1989 and with regular publications from 2005 onward. Studies were from all World Health Organization regions: Western Pacific, n = 33, South-East Asian, n = 24; Eastern Mediterranean, n = 20; African, n = 17; European, n = 18; and the Americas, n = 13. The study designs included 91 cohort, 25 case-control, and nine cross-sectional studies, with wide variations in sample size ranging from 52 to > 1 million research participants.
The participants comprised different age groups, with “all ages” included in 21 studies. Most studies (n = 90) included participants older than 15 years, whereas information on age was not reported in three studies. The proportion of male participants was higher than that of female participants in most studies. Eighty-three studies included individuals who used alcohol in their sample, and a smaller number (n = 47) also reported drug use. Among studies that reported comorbidities, HIV, diabetes, and kidney and liver diseases were the most common. Three studies excluded people with HIV, whereas five excluded participants with any comorbidities. The type of TB was not specified in six studies, both pulmonary and extrapulmonary presentations were covered in 50 studies, whereas the remaining studies were limited to just those with pulmonary TB. A total of 41 studies reported a mix of drug-susceptible TB and DRTB, and 46 studies reported a mix of new and retreatment presentations.
Regarding tobacco exposure, 27 studies reported ever tobacco use (vs never tobacco use), 99 studies reported current tobacco use (vs currently not using tobacco), and 19 studies reported former tobacco use (vs never tobacco use). Of these, eight studies specified bidi use in addition to cigarettes and one study mentioned the inclusion of all forms of tobacco use. Eight studies also reported ST use: two on ever use (vs never use) and six on current use (vs no current use). Regarding treatment outcomes, we found recurrence or relapse (n = 20), mortality during treatment (n = 16), all-cause mortality (n = 11), TB mortality (n = 11), default (n = 27), failure (n = 12), unsuccessful treatment (combined mortality, default, and failure; n = 28), delayed sputum conversion (n = 25), treatment nonadherence (n = 8), disease severity (n = 5), and drug resistance development (n = 1). The overall rating on the risk-of-bias assessments was strong for 68 studies, moderate for 41 studies, and weak for five studies (e-Table 2). Risk of bias was not assessed for the remaining nine studies because we could not extract any results from them.
TB Recurrence or Relapse
Fifteen studies provided the necessary data to be pooled in at least one of the three meta-analyses: five for ever using tobacco,94,96,100,109,147 13 for current tobacco use,36,43,51,64,71,84,88,94,96,97,112,118,147 and three for former tobacco use94,96,147 (some studies reported on more than one exposure). No studies on ST use were found. Compared with never or no tobacco use, the risk of TB recurrence or relapse was found to be higher with ever tobacco use (pooled RR, 1.78; 95% CI, 1.31-2.43; I2 = 85%), current tobacco use (RR, 1.95; 95% CI, 1.59-2.40; I2 = 72%), and former tobacco use (RR, 1.84; 95% CI, 1.21-2.80; I2 = 74%). All three associations were statistically significant and showed a high degree of heterogeneity (Fig 2A-C). Subgroup analyses showed that variations in study design, quality, and presence of comorbidities could explain some of the heterogeneity, although substantial unexplained heterogeneity within each of these subgroups remained (Table 3); removing the studies that included people with DRTB and retreatment TB did not change the overall findings (e-Fig 1A-M). Funnel plots appeared generally symmetrical, suggesting minimal publication bias (e-Fig 2A-C). The GRADE assessments for all three meta-analyses were very low (e-Fig 3A-C).
Figure 2.
A, Forest plot showing risk of TB recurrence or relapse risk associated with ever using tobacco. B, Forest plot showing risk of TB recurrence or relapse risk associated with current tobacco use. C, Forest plot showing risk of TB recurrence or relapse risk associated with former tobacco use.
Table 3.
Subgroup Analyses Results
| Subgroup | No. of Studies | RR (95% CI) | I2 | Test for Subgroup Differences |
|
|---|---|---|---|---|---|
| χ2 | P Value | ||||
| TB recurrence or relapse | |||||
| Ever using tobacco | |||||
| Study design | 3.40 | .07 | |||
| Prospective | 3 | 2.25 (1.39-3.62) | 88% | ||
| Retrospective | 2 | 1.31 (0.96-1.80) | 59% | ||
| Study quality | 6.19 | .01 | |||
| Strong | 4 | 1.99 (1.43-2.77) | 85% | ||
| Weak | 1 | 1.08 (0.75-1.54) | NA | ||
| Comorbidities | 3.45 | .06 | |||
| Yes | 2 | 1.31 (0.96-1.80) | 60% | ||
| No | 2 | 2.25 (1.40-3.60) | 87% | ||
| Current tobacco use | |||||
| Study design | 21.09 | < .01 | |||
| Prospective | 6 | 2.46 (1.88-3.21) | 65% | ||
| Retrospective | 6 | 1.71 (1.45-2.01) | 0% | ||
| Cross-sectional | 1 | 0.99 (0.75-1.32) | NA | ||
| Study quality | 5.41 | .02 | |||
| Strong | 9 | 2.22 (1.84-2.68) | 52% | ||
| Weak | 4 | 1.38 (0.97-1.96) | 64% | ||
| Comorbidities | 13.48 | < .01 | |||
| Yes | 10 | 1.70 (1.41-2.05) | 59% | ||
| No | 3 | 3.00 (2.37-3.80) | 0% | ||
| Former tobacco use | |||||
| Comorbidities | 7.42 | .01 | |||
| Yes | 1 | 1.35 (1.07-1.70) | NA | ||
| No | 2 | 2.32 (1.69-2.80) | 0% | ||
| Mortality during treatdsment (current tobacco use) | |||||
| Study design | 9.87 | .01 | |||
| Prospective | 2 | 1.30 (0.88-1.92) | 0% | ||
| Retrospective | 6 | 1.36 (0.94-1.95) | 89% | ||
| Cross-sectional | 1 | 5.33 (2.34-12.2) | NA | ||
| Study quality | 0.50 | .48 | |||
| Strong | 5 | 1.38 (0.90-2.12) | 91% | ||
| Moderate | 4 | 1.77 (1.03-3.03) | 38% | ||
| Comorbidities | 0.49 | .49 | |||
| Yes | 8 | 1.56 (1.07-2.27) | 88% | ||
| No | 1 | 1.29 (0.89-1.87) | NA | ||
NA = not applicable; RR = risk ratio.
Mortality During TB Treatment
Of the 13 studies, four provided estimates for ever using tobacco vs never using tobacco,57,111,126,135 and nine provided estimates for current tobacco use vs no tobacco use32,46,54,70,74,99,103,120,125 (Fig 3A, 3B); no estimates were found for former tobacco use or for ST use. Compared with never or no tobacco use, we found increased risk of mortality during treatment associated with ever using tobacco (RR, 1.55; 95% CI, 1.32-1.81; I2 = 0%) and current tobacco use (RR, 1.51; 95% CI, 1.09-2.10; I2 = 87%). Only the current tobacco use analysis showed a high degree of heterogeneity, which largely was explained by differences in study design (Table 3). Like recurrence or relapse, removing the studies that included people with DRTB and retreatment TB did not change the overall findings (e-Fig 4A-G). Some funnel plot asymmetry was observed (e-Fig 5A, 5B), and the GRADE assessment was low for both meta-analyses (e-Fig 6A-6B).
Figure 3.
A, Forest plot showing risk of mortality during treatment associated with ever using tobacco among people with TB. B, Forest plot showing risk of mortality during treatment associated with current tobacco use among people with TB.
Secondary Outcomes
In addition to mortality during treatment, we included 11 studies on all-cause mortality among people with TB37,42,58,67,68,94,95,105,123,140,144 and 11 on TB mortality.22,23,27,30,35,44,47,48,75,115,121 For all-cause mortality, except for two studies that did not provide risk estimates58,67 and two studies that found no association with current tobacco use,94,105 the remaining study reported increased risk with tobacco use compared with no tobacco use. For TB mortality, all studies reported increased risk with tobacco use and one study report increased risk with ST use in addition (e-Table 3).35
Twenty-four of 27 studies on default provided risk estimates for tobacco use.26,28,29,34,41,42,45,50,56, 57, 58, 59,62,67,74,76,79,80,82,90,94,98,102,121,129,134,135 Except for one study,62 all others reported increased risk with tobacco use compared with never or no tobacco use. Regarding treatment failure, nine of 12 identified studies provided risk estimates, all reporting increased risk with tobacco use.26,42,52,57,62,74,82,93,119,123,126,138 So-called unsuccessful treatment, which combined any outcome other than cure or completion of treatment, was reported in 28 studies.24,49,60,61,65,68,71,73,78,80,85,87,90,91,94,95,104,107,108,114,117,122,123,126,137,140,145,146 Of these, the risk could not be extracted from four studies,24,49,61,137 whereas most of the remaining ones reported increased risk, including three studies that included the use of ST products.91,104,122
An association between tobacco use and delayed sputum conversion was reported in 25 studies,24,31,38,40,52,53,66,69,72,81,86,89,92,94,101,106,110,114,126,130,132,139,141,142,148 and all but one study40 found increased risks. For treatment nonadherence, effect measures were extracted from seven of eight included studies,33,77,82,113,116,133,135,136 all reporting increased risk associated with tobacco use, and one also reporting increased risk associated with ST use.77 Disease severity was indicated by risk of hospitalization or cavitation in five included studies,32,126,128,130,143 and all reported increased risk with tobacco use. Finally, one case-control study reported an increased risk of drug resistance developing with tobacco use compared with no tobacco use.131
Discussion
This systematic review identified a substantial number of epidemiologic studies on the association between tobacco use and TB treatment outcomes, and the synthesis clearly showed an increased risk with tobacco use. For the primary outcomes, tobacco use significantly increased the risk of TB recurrence or relapse and mortality during treatment. To our knowledge, the link between tobacco use and TB recurrence or relapse has not been reviewed systematically since 2007,12 and no meta-analysis has been conducted until now, although the need for it has been highlighted.149,150 For mortality, previous reviews largely identified TB mortality estimates,10, 11, 12 which identified the association between tobacco use and TB occurrence, rather than treatment outcomes. A 2010 publication summarized the three 2007 reviews and found them to be consistent on TB mortality,151 as did the 2014 US Surgeon General's report.152 Although we included the TB mortality studies and reached similar conclusions, our meta-analysis focused on mortality during treatment, because this provided a more objective indication of mortality as a treatment outcome.
Our review also found increased risks for default, failure, nonadherence, and delayed sputum conversion. Most of these outcomes were covered in two recent meta-analyses,13,14 both reporting adverse associations with tobacco use. Although our updated searches identified newer studies, we predicted that further meta-analyses would not change the results. Disease severity and development of DRTB were two additional outcomes we included. However, no meta-analyses were conducted because the definition of severity varied across studies, although only one study reported on development of DRTB. Nonetheless, increased risk with tobacco use was found for risk of hospitalization, risk of cavitation, and risk of drug resistance developing.
To our knowledge, the association between ST and TB treatment outcomes has not been reviewed previously. We found eight studies covering unsuccessful treatment, TB mortality, and nonadherence, but the ST-related risks were reported only in six studies. Nonetheless, all but one study found increased risks associated with ST use. Although links between nasal ST (eg, snuff) and increased susceptibility to pulmonary infections have been discussed through mechanisms like decreased mucociliary clearance153 and altered microbiome,154 further research to elucidate our findings with other ST products are needed. Similarly, among the tobacco use studies, only a few specified bidi and other noncigarette forms, whereas none reported separate effect measures associated with their use.
The key strengths of this review are its rigorous methodologies, the high quality of included studies, and the use of GRADE for the primary outcomes. The limitations, nonetheless, are as follows. First, because the primary studies presented varied estimates (eg, ORs, hazard ratios, and so forth), we used their numbers to calculate RRs for pooling. This meant that studies that did not report the necessary numbers were left out of the meta-analyses. However, these were few and largely reported increased risks with tobacco use. Only two studies on mortality during treatment reported hazard ratios of < 1.00, but one article did not describe the study in adequate detail,55 whereas the effect was not statistically significant in the second study.66 Our analytical strategy also meant that the effect of important confounders such as age, alcohol, and so forth were not accounted for adequately. The way data were reported on covariates did not allow for their use in metaregression, as originally planned. However, where available within primary studies, we reported adjusted estimates (e-Table 3). Also, when assessing quality, we considered the extent to which studies adjusted for potential confounders.
Another limitation of the meta-analyses is the high heterogeneity: only the ever using tobacco and mortality during treatment analysis showed no heterogeneity. Further, we included studies with combined drug-susceptible TB and DRTB, as well as new and retreatment TB samples. However, we did our best to explain our findings using subgroup and sensitivity analyses. We found that differences in study design, quality, and participant characteristics explained some of the heterogeneity and that removing the studies that included people with DRTB and retreatment TB did not change the overall findings. Additional sources of heterogeneity likely included the geographical spread of studies and the different tobacco products used, but not enough information was available for further exploration. We noted some funnel plot asymmetry in the mortality analyses, suggesting the possibility of publication bias. However, this also may be the result of heterogeneity and chance155 and was not assessed further. We also could not rule out the possibility of bias from five studies that were excluded because of language restrictions. Finally, the GRADE assessments for all meta-analyses were either very low or low, suggesting that the true effect may differ from our estimates. However, we believe this was explained largely by the observational study designs and the lack of dose-response effects in most included studies.
Interpretation
Taken together, our findings show increased risk of TB recurrence or relapse and mortality during treatment with tobacco use compared with never or no tobacco use. Tobacco use is also a clear risk factor for other unfavorable TB treatment outcomes, as documented in earlier reviews. Although evidence is limited on ST, it still suggests that we need to be cognizant of the risks associated with its use, especially given its disproportionately high prevalence in LMICs.156 The integration of tobacco cessation within TB services offers a viable option, particularly in LMICs.12 A large proportion of people with TB who use tobacco are willing to stop, and those who stop tobacco use have better treatment success (91% vs 80%; P < .001) and lower relapse rates (6% vs 14%; P < .001).157 The results of our review provide additional evidence to invest in these policies and practices to reduce the global TB and tobacco-related disease burden.
Funding/Support
The authors have reported to CHEST that no funding was received for this study.
Financial/Nonfinancial Disclosures
None declared.
Acknowledgments
Author contributions: O. D., K. S., and J. E. G. contributed to conceptualization; O. D. contributed to design of literature search strategy; O. D. and A. L. V. conducted literature searches; O. D., K. S., and A. L. V. contributed to study design; A. L. V., A. R., M. B., A. J., F. S., A.-M. M., J. A., and O. D. contributed to data extraction and quality appraisal; A. L. V. and O. D. contributed to data analysis; A. L. V., O. D., and A. J. contributed to data interpretation; A. L. V. and O.D . contributed to manuscript writing; A. L. V., A. R., M. B., A.J., F. S., J. E. G., K. S., and O. D. contributed to revision of manuscript and editing. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Other contributions: The authors thank Professor Knut Lönnroth for contributing to initial conceptualization of the research question.
Additional information: The e-Appendixes, e-Figures, and e-Tables are available online under “Supplementary Data.”
Footnotes
This article was presented at The Union World Conference on Lung Health virtual meeting, November 8-11, 2022.
Supplementary Data
References
- 1.Drope J., Hamill S., Chaloupka F., et al. The Tobacco Atlas. 7th ed. Vital Strategies; 2022. [Google Scholar]
- 2.World Health Organization . World Health Organization; 2020. Tobacco: Fact Sheets. [Google Scholar]
- 3.Marshall A.-M., Barua D., Mitchell A., et al. Smoking prevalence among tuberculosis patients: a crosssectional study in Bangladesh and Pakistan. Tob Induc Dis. 2020;18:70. doi: 10.18332/tid/125452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Basu S., Stuckler D., Bitton A., et al. Projected effects of tobacco smoking on worldwide tuberculosis control: mathematical modelling analysis. BMJ. 2011;343:d5506. doi: 10.1136/bmj.d5506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Deepak K., Daivadanam M., Pradeepkumar A., et al. Smokeless tobacco use among patients with tuberculosis in Karnataka: the need for cessation services. Natl Med J India. 2012;25(3):142–145. [PubMed] [Google Scholar]
- 6.Elf J.L., Variava E., Chon S., et al. Prevalence and correlates of snuff use, and its association with tuberculosis, among women living with HIV in South Africa. Nicotine Tob Res. 2019;21(8):1087–1092. doi: 10.1093/ntr/nty137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Shukla A.D., Shreenivasa A., Chaudhary A. Is pulmonary tuberculosis associated with smokeless tobacco use. J Evol Med Dent Sci. 2017;6:4515–4518. [Google Scholar]
- 8.World Health Organization . World Health Organization; 2022. Global Tuberculosis Report 2022. [Google Scholar]
- 9.Jeremiah C., Petersen E., Nantanda R., et al. The WHO Global Tuberculosis 2021 Report—not so good news and turning the tide back to end TB. Int J Infect Dis. 2022;124(1):S26–S29. doi: 10.1016/j.ijid.2022.03.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bates M.N., Khalakdina A., Pai M., et al. Risk of tuberculosis from exposure to tobacco smoke: a systematic review and meta-analysis. Arch Intern Med. 2007;167(4):335–342. doi: 10.1001/archinte.167.4.335. [DOI] [PubMed] [Google Scholar]
- 11.Lin H.-H., Ezzati M., Murray M. Tobacco smoke, indoor air pollution and tuberculosis: a systematic review and meta-analysis. PLoS Med. 2007;4(1):e20. doi: 10.1371/journal.pmed.0040020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Slama K., Chiang C., Enarson D., et al. Tobacco and tuberculosis: a qualitative systematic review and meta-analysis. Int J Tuberc Lung Dis. 2007;11(10):1049–1061. [PubMed] [Google Scholar]
- 13.Burusie A., Enquesilassie F., Addissie A., et al. Effect of smoking on tuberculosis treatment outcomes: a systematic review and meta-analysis. PloS One. 2020;15(9) doi: 10.1371/journal.pone.0239333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wang E., Arrazola R., Mathema B., et al. The impact of smoking on tuberculosis treatment outcomes: a meta-analysis. Int J Tuberc Lung Dis. 2020;24(2):170–175. doi: 10.5588/ijtld.19.0002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Uplekar M., Weil D., Lonnroth K., et al. WHO’s new end TB strategy. Lancet. 2015;385(9979):1799–1801. doi: 10.1016/S0140-6736(15)60570-0. [DOI] [PubMed] [Google Scholar]
- 16.Page M.J., McKenzie J.E., Bossuyt P.M., et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev. 2021;10(1):89. doi: 10.1186/s13643-021-01626-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.World Health Organization . World Health Organization; 2007. A WHO/The Union Monograph on TB and Tobacco Control: Joining Efforts to Control Two Related Global Epidemics. [Google Scholar]
- 18.World Health Organization . World Health Organization; 2013. Global Tuberculosis Report 2013. [Google Scholar]
- 19.Effective Public Health Practice Project . Effective Public Health Practice Project; 2010. Quality Assessment Tool for Quantitative Studies. [Google Scholar]
- 20.Cochrane Collaboration . Cochrane Collaboration; 2008. Review Manager (RevMan) version 5.4. [Google Scholar]
- 21.Atkins D., Best D., Briss P.A., et al. GRADE Working Group Grading quality of evidence and strength of recommendations. BMJ. 2004;328(7454):1490. doi: 10.1136/bmj.328.7454.1490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Liu B.-Q., Peto R., Chen Z.-M., et al. Emerging tobacco hazards in China: 1. Retrospective proportional mortality study of one million deaths. BMJ. 1998;317(7170):1411–1422. doi: 10.1136/bmj.317.7170.1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lam T., Ho S., Hedley A., et al. Mortality and smoking in Hong Kong: case-control study of all adult deaths in 1998. BMJ. 2001;323(7309):361. doi: 10.1136/bmj.323.7309.361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Leung C.C., Yew W.W., Chan C.K., et al. Tuberculosis in older people: a retrospective and comparative study from Hong Kong. J Am Geriatr Soc. 2002;50(7):1219–1226. doi: 10.1046/j.1532-5415.2002.50308.x. [DOI] [PubMed] [Google Scholar]
- 25.Leung C., Yew W., Chan C., et al. Smoking and tuberculosis in Hong Kong. Int J Tuberc Lung Dis. 2003;7(10):980–986. [PubMed] [Google Scholar]
- 26.Santha T., Garg R., Frieden T.R., et al. Risk factors associated with default, failure and death among tuberculosis patients treated in a DOTS programme in Tiruvallur District, South India, 2000. Int J Tuberc Lung Dis. 2002;6(9):780–788. [PubMed] [Google Scholar]
- 27.Gajalakshmi V., Peto R., Kanaka T.S., et al. Smoking and mortality from tuberculosis and other diseases in India: retrospective study of 43 000 adult male deaths and 35 000 controls. Lancet. 2003;(362(9383)):507–515. doi: 10.1016/S0140-6736(03)14109-8. [DOI] [PubMed] [Google Scholar]
- 28.Salami A., Oluboyo P. Management outcome of pulmonary tuberculosis: a nine year review in Ilorin, West Afr. J Med. 2003;22(2):114–119. doi: 10.4314/wajm.v22i2.27928. [DOI] [PubMed] [Google Scholar]
- 29.Chang K.-C., Leung C., Tam C. Risk factors for defaulting from anti-tuberculosis treatment under directly observed treatment in Hong Kong. Int J Tuberc Lung Dis. 2004;8(12):1492–1498. [PubMed] [Google Scholar]
- 30.Sitas F., Urban M., Bradshaw D., et al. Tobacco attributable deaths in South Africa. Tob Control. 2004;13(4):396–399. doi: 10.1136/tc.2004.007682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Abal A., Jayakrishnan B., Parwer S., et al. Effect of cigarette smoking on sputum smear conversion in adults with active pulmonary tuberculosis. Respir Med. 2005;99(4):415–420. doi: 10.1016/j.rmed.2004.08.016. [DOI] [PubMed] [Google Scholar]
- 32.Altet-Gomez M., Alcaide J., Godoy P., et al. Clinical and epidemiological aspects of smoking and tuberculosis: a study of 13038 cases. Int J Tuberc Lung Dis. 2005;9(4):430–436. [PubMed] [Google Scholar]
- 33.Balbay O., Annakkaya A.N., Arbak P., et al. Which patients are able to adhere to tuberculosis treatment? A study in a rural area in the northwest part of Turkey. Jpn J Infect Dis. 2005;58(3):152–158. [PubMed] [Google Scholar]
- 34.Chandrasekaran V., Gopi P., Subramani R., et al. Default during the intensive phase of treatment under DOTS programme. Indian J Tuberc. 2005;52:197–202. [Google Scholar]
- 35.Gupta P.C., Pednekar M.S., Parkin D., et al. Tobacco associated mortality in Mumbai (Bombay) India. Results of the Bombay Cohort Study. Int J Epidemiol. 2005;34(6):1395–1402. doi: 10.1093/ije/dyi196. [DOI] [PubMed] [Google Scholar]
- 36.Thomas A., Gopi P., Santha T., et al. Predictors of relapse among pulmonary tuberculosis patients treated in a DOTS programme in South India. Int J Tuberc Lung Dis. 2005;9(5):556–561. [PubMed] [Google Scholar]
- 37.Kolappan C., Subramani R., Karunakaran K., et al. Mortality of tuberculosis patients in Chennai, India. Bull World Health Organ. 2006;84(7):555–560. doi: 10.2471/blt.05.022087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Babb C., Van Der Merwe L., Beyers N., et al. Vitamin D receptor gene polymorphisms and sputum conversion time in pulmonary tuberculosis patients. Tuberculosis. 2007;87(4):295–302. doi: 10.1016/j.tube.2007.03.001. [DOI] [PubMed] [Google Scholar]
- 39.Cacho J., Meixeira A.P., Cano I., et al. Recurrent tuberculosis from 1992 to 2004 in a metropolitan area. Eur Respir J. 2007;30(2):333–337. doi: 10.1183/09031936.00005107. [DOI] [PubMed] [Google Scholar]
- 40.Güler M., Ünsal E., Dursun B., et al. Factors influencing sputum smear and culture conversion time among patients with new case pulmonary tuberculosis. Int J Clin Pract. 2007;61(2):231–235. doi: 10.1111/j.1742-1241.2006.01131.x. [DOI] [PubMed] [Google Scholar]
- 41.Jakubowiak W., Bogorodskaya E., Borisov E., et al. Risk factors associated with default among new pulmonary TB patients and social support in six Russian regions. Int J Tuberc Lung Dis. 2007;11(1):46–53. [PubMed] [Google Scholar]
- 42.Wang J.-Y., Hsueh P., Jan I., et al. The effect of smoking on tuberculosis: different patterns and poorer outcomes. Int J Tuberc Lung Dis. 2007;11(2):143–149. [PubMed] [Google Scholar]
- 43.d'Arc Lyra Batista J., de Fátima Pessoa Militão de Albuquerque M., de Alencar Ximenes R.A., Rodrigues L.C. Smoking increases the risk of relapse after successful tuberculosis treatment. Int J Epidemiol. 2008;37(4):841–851. doi: 10.1093/ije/dyn113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Jha P., Jacob B., Gajalakshmi V., et al. A nationally representative case–control study of smoking and death in India. N Engl J Med. 2008;358(11):1137–1147. doi: 10.1056/NEJMsa0707719. [DOI] [PubMed] [Google Scholar]
- 45.Pinidiyapathirage J., Senaratne W., Wickremasinghe R. Prevalence and predictors of default with tuberculosis treatment in Sri Lanka. Southeast Asian J Trop Med Public Health. 2008;39(6):1076–1082. [PubMed] [Google Scholar]
- 46.Vasantha M., Gopi P., Subramani R. Survival of tuberculosis patients treated under DOTS in a rural Tuberculosis unit (TU), south India. Indian J Tuberc. 2008;55(2):64–69. [PubMed] [Google Scholar]
- 47.Jee S.H., Golub J.E., Jo J., et al. Smoking and risk of tuberculosis incidence, mortality, and recurrence in South Korean men and women. Am J Epidemiol. 2009;170(12):1478–1485. doi: 10.1093/aje/kwp308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Jiang J., Liu B., Nasca P., et al. Smoking and risk of death due to pulmonary tuberculosis: a case-control comparison in 103 population centers in China. Int J Tuberc Lung Dis. 2009;13(12):1530–1535. [PubMed] [Google Scholar]
- 49.Kherad O., Herrmann F.R., Zellweger J.-P., et al. Clinical presentation, demographics and outcome of tuberculosis (TB) in a low incidence area: a 4-year study in Geneva, Switzerland. BMC Infect Dis. 2009;9:1–8. doi: 10.1186/1471-2334-9-217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kittikraisak W., Burapat C., Kaewsa-ard S., et al. Factors associated with tuberculosis treatment default among HIV-infected tuberculosis patients in Thailand. Trans R Soc Trop Med Hyg. 2009;103(1):59–66. doi: 10.1016/j.trstmh.2008.09.003. [DOI] [PubMed] [Google Scholar]
- 51.Millet J.-P., Orcau A., De Olalla P.G., et al. Tuberculosis recurrence and its associated risk factors among successfully treated patients. J Epidemiol Commun Health. 2009;63(10):799–804. doi: 10.1136/jech.2008.077560. [DOI] [PubMed] [Google Scholar]
- 52.Metanat M., Mood B.S., Parsi M., et al. Effect of cigarette smoking on sputum smear conversion time among adult new pulmonary tuberculosis patients: a study from Iran Southeast. Arch Clin Infect Dis. 2010;5:14–17. [Google Scholar]
- 53.Siddiqui U.A., Kabir M., O’Toole M.Z., et al. Smoking prolongs the infectivity of patients with tuberculosis. Ir Med J. 2010;103(9):278–280. [PubMed] [Google Scholar]
- 54.Silva D.R., Menegotto D.M., Schulz L.F., et al. Factors associated with mortality in hospitalized patients with newly diagnosed tuberculosis. Lung. 2010;188(1):33–41. doi: 10.1007/s00408-009-9224-9. [DOI] [PubMed] [Google Scholar]
- 55.Tabarsi P, Baghaei P, Marjani M, et al., Risk factors of death among hospitalized patients with tuberculosis: a report from Iran. Paper presented at: 20th ECCMID Meeting; April 10-13, 2010; Vienna, Austria.
- 56.Vijay S., Kumar P., Chauhan L.S., et al. Risk factors associated with default among new smear positive TB patients treated under DOTS in India. PloS One. 2010;5(4) doi: 10.1371/journal.pone.0010043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Dujaili J.A., Syed Sulaiman S.A., Awaisu A., et al. Outcomes of tuberculosis treatment: a retrospective cohort analysis of smoking versus non-smoking patients in Penang, Malaysia. J Public Health. 2011;19:183–189. [Google Scholar]
- 58.García-García J.-M., Blanquer R., Rodrigo T., et al. Social clinical and microbiological differential characteristics of tuberculosis among immigrants in Spain. PloS One. 2011;6(1) doi: 10.1371/journal.pone.0016272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Maruza M., Militão Albuquerque M.F., Coimbra I., et al. Risk factors for default from tuberculosis treatment in HIV-infected individuals in the state of Pernambuco, Brazil: a prospective cohort study. BMC Infect Dis. 2011;11:351. doi: 10.1186/1471-2334-11-351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Mahdi N.N.R., Mohd N.S., Wan M.Z., et al. Factors associated with unsuccessful treatment outcome of pulmonary tuberculosis in Kota Bharu, Kelantan. Malaysian J Public Health Med. 2011;11(1):6–15. [Google Scholar]
- 61.Solliman M., Hassali M., Shafie A., et al. PRS58 treatment outcomes of new smear positive pulmonary tuberculosis patients in North East Libya. Value Health. 2011;14(7):A498. [Google Scholar]
- 62.Tachfouti N., Nejjari C., Benjelloun M., et al. Association between smoking status, other factors and tuberculosis treatment failure in Morocco. Int J Tuberc Lung Dis. 2011;15(6):838–843. doi: 10.5588/ijtld.10.0437. [DOI] [PubMed] [Google Scholar]
- 63.Tachfouti N., Slama K., Berraho M., et al. Determinants of tuberculosis treatment default in Morocco: results from a national cohort study. Pan Afr Med J. 2013;14:1–8. doi: 10.11604/pamj.2013.14.121.2335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Anaam M., Ibrahim M., Al Serouri A., et al. A nested case-control study on relapse predictors among tuberculosis patients treated in Yemen’s NTCP. Public Health Action. 2012;2(4):168–173. doi: 10.5588/pha.12.0044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Chiang Y.-C., Lin Y.-M., Lee J.-A., et al. Tobacco consumption is a reversible risk factor associated with reduced successful treatment outcomes of anti-tuberculosis therapy. Int J Infect Dis. 2012;16(2) doi: 10.1016/j.ijid.2011.10.007. [DOI] [PubMed] [Google Scholar]
- 66.Feng J.-Y., Huang S.-F., Ting W.-Y., et al. Gender differences in treatment outcomes of tuberculosis patients in Taiwan: a prospective observational study. Clin Microbiol Infect. 2012;18(9):E331–E337. doi: 10.1111/j.1469-0691.2012.03931.x. [DOI] [PubMed] [Google Scholar]
- 67.Lisha P., James P., Ravindran C. Morbidity and mortality at five years after initiating category I treatment among patients with new sputum smear positive pulmonary tuberculosis. Indian J Tuberc. 2012;59(2):83–91. [PubMed] [Google Scholar]
- 68.Tabarsi P., Chitsaz E., Moradi A., et al. Treatment outcome, mortality and their predictors among HIV-associated tuberculosis patients. Int J STD AIDS. 2012;23(9):e1–e4. doi: 10.1258/ijsa.2009.009093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Visser M.E., Stead M.C., Walzl G., et al. Baseline predictors of sputum culture conversion in pulmonary tuberculosis: importance of cavities, smoking, time to detection and W-Beijing genotype. PloS One. 2012;7(1) doi: 10.1371/journal.pone.0029588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Alavi-Naini R., Moghtaderi A., Metanat M., et al. Factors associated with mortality in tuberculosis patients. J Res Med Sci. 2013;18(1):52–55. [PMC free article] [PubMed] [Google Scholar]
- 71.Bonacci R.A., Cruz-Hervert L.P., García-García L., et al. Impact of cigarette smoking on rates and clinical prognosis of pulmonary tuberculosis in Southern Mexico. J Infect. 2013;66(4):303–312. doi: 10.1016/j.jinf.2012.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Maciel E., Brioschi A., Peres R., et al. Smoking and 2-month culture conversion during anti-tuberculosis treatment. Int J Tuberc Lung Dis. 2013;17(2):225–228. doi: 10.5588/ijtld.12.0426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Mnisi T., Tumbo J., Govender I. Factors associated with pulmonary tuberculosis outcomes among inmates in Potchefstroom Prison in North West province, S Afr. J Epidemiol and Infect. 2013;28(2):96–101. [Google Scholar]
- 74.Dudala S.R., Rao A.R., Kumar B.P.R. Factors influencing treatment outcome of new sputum smear positive tuberculosis patients in tuberculosis unit Khammam. Int J Med Health Sci. 2013;2(2):195–204. [Google Scholar]
- 75.Reed G.W., Choi H., Lee S.Y., et al. Impact of diabetes and smoking on mortality in tuberculosis. PloS One. 2013;8(2) doi: 10.1371/journal.pone.0058044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Slama K., Tachfouti N., Obtel M., et al. Factors associated with treatment default by tuberculosis patients in Fez, Morocco. East Mediterr Health J. 2013;19(8):687–693. [PubMed] [Google Scholar]
- 77.Ahmad S.R., Velhal G.D. Study of treatment interruption of new sputum smear positive TB cases under DOTS strategy. Int J Med Sci Public Health. 2014;3(8):977–981. [Google Scholar]
- 78.Alo A., Gounder S., Graham S. Clinical characteristics and treatment outcomes of tuberculosis cases hospitalised in the intensive phase in Fiji. Public Health Action. 2014;4(3):164–168. doi: 10.5588/pha.14.0022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Cherkaoui I., Sabouni R., Ghali I., et al. Treatment default amongst patients with tuberculosis in urban Morocco: predicting and explaining default and post-default sputum smear and drug susceptibility results. PloS One. 2014;9(4) doi: 10.1371/journal.pone.0093574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Choi H., Lee M., Chen R.Y., et al. Predictors of pulmonary tuberculosis treatment outcomes in South Korea: a prospective cohort study, 2005-2012. BMC Infect Dis. 2014;14:1–12. doi: 10.1186/1471-2334-14-360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.de Boer R.N., Oliveira e Souza Filho J.B., Cobelens F., et al. Delayed culture conversion due to cigarette smoking in active pulmonary tuberculosis patients. Tuberculosis. 2014;94(1):87–91. doi: 10.1016/j.tube.2013.10.005. [DOI] [PubMed] [Google Scholar]
- 82.Ibrahim L.M., Hadejia I.S., Nguku P., et al. Factors associated with interruption of treatment among pulmonary tuberculosis patients in Plateau State, Nigeria, 2011. Pan Afr Med J. 2014;12(1):172–179. doi: 10.11604/pamj.2014.17.78.3464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Ibrahim L.M., Hadejia I.S., Nguku P., et al. Factors associated with outcomes of treatment among pulmonary tuberculosis patients in Plateau State, Nigeria, 2011. J US-China Med Sci. 2015;12:12. doi: 10.11604/pamj.2014.17.78.3464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Louwagie G.M.C., Ayo-Yusuf O.A. Factors associated with retreatment tuberculosis in Tshwane, South Africa: the role of tobacco smoking. S Afr J Infect Dis. 2014;29:87–90. [Google Scholar]
- 85.Lucenko I., Riekstina V., Perevoscikovs J., et al. Treatment outcomes among drug-susceptible tuberculosis patients in Latvia, 2006–2010. Public Health Action. 2014;4(Suppl 2):S54–S58. doi: 10.5588/pha.14.0040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Pefura-Yone E.W., Kengne A.P., Kuaban C. Non-conversion of sputum culture among patients with smear positive pulmonary tuberculosis in Cameroon: a prospective cohort study. BMC Infect Dis. 2014;14:1–6. doi: 10.1186/1471-2334-14-138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Przybylski G., Dąbrowska A., Trzcińska H. Alcoholism and other socio-demographic risk factors for adverse TB-drug reactions and unsuccessful tuberculosis treatment–data from ten years’ observation at the Regional Centre of Pulmonology, Bydgoszcz, Poland. Med Sci Monit. 2014;20:444. doi: 10.12659/MSM.890012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Yen Y., Yen M., Lin Y., et al. Smoking increases risk of recurrence after successful anti-tuberculosis treatment: a population-based study. Int J Tuberc Lung Dis. 2014;18(4):492–498. doi: 10.5588/ijtld.13.0694. [DOI] [PubMed] [Google Scholar]
- 89.Chuang H.-C., Su C.-L., Liu H.-C., et al. Cigarette smoke is a risk factor for severity and treatment outcome in patients with culture-positive tuberculosis. Ther Clin Risk Manag. 2015;11:1539. doi: 10.2147/TCRM.S87218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Driessche K.V., Patel M.R., Mbonze N., et al. Effect of smoking history on outcome of patients diagnosed with TB and HIV. Eur Respir J. 2015;45(3):839–842. doi: 10.1183/09031936.00160714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Gegia M., Magee M.J., Kempker R.R., et al. Tobacco smoking and tuberculosis treatment outcomes: a prospective cohort study in Georgia. Bull World Health Organ. 2015;93(6):390–399. doi: 10.2471/BLT.14.147439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Kanda R., Nagao T., Tho N.V., et al. Factors affecting time to sputum culture conversion in adults with pulmonary tuberculosis: a historical cohort study without censored cases. PloS One. 2015;10(11) doi: 10.1371/journal.pone.0142607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Khan A.H., Aftab R.A., Israr M., et al. Smoking on treatment outcomes among tuberculosis patients. Am J Med Sci. 2015;349(6):505–509. doi: 10.1097/MAJ.0000000000000473. [DOI] [PubMed] [Google Scholar]
- 94.Leung C.C., Yew W.W., Chan C.K., et al. Smoking adversely affects treatment response, outcome and relapse in tuberculosis. Eur Respir J. 2015;45(3):738–745. doi: 10.1183/09031936.00114214. [DOI] [PubMed] [Google Scholar]
- 95.Liew S., Khoo E., Ho B., et al. Tuberculosis in Malaysia: predictors of treatment outcomes in a national registry. Int J Tuberc Lung Dis. 2015;19(7):764–771. doi: 10.5588/ijtld.14.0767. [DOI] [PubMed] [Google Scholar]
- 96.Mahishale V., Patil B., Lolly M., et al. Prevalence of smoking and its impact on treatment outcomes in newly diagnosed pulmonary tuberculosis patients: a hospital-based prospective study. Chonnam Med J. 2015;51(2):86–90. doi: 10.4068/cmj.2015.51.2.86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Moosazadeh M., Bahrampour A., Nasehi M., et al. The incidence of recurrence of tuberculosis and its related factors in smear-positive pulmonary tuberculosis patients in Iran: a retrospective cohort study. Lung India. 2015;32(6):557–560. doi: 10.4103/0970-2113.168113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Roy N., Basu M., Das S., et al. Risk factors associated with default among tuberculosis patients in Darjeeling district of West Bengal, India. J Family Med Prim Care. 2015;4(3):388. doi: 10.4103/2249-4863.161330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Yamana H., Matsui H., Fushimi K., et al. Treatment options and outcomes of hospitalised tuberculosis patients: a nationwide study. Int J Tuberc Lung Dis. 2015;19(1):120–126. doi: 10.5588/ijtld.14.0333. [DOI] [PubMed] [Google Scholar]
- 100.Ahmad D., Khan M.M., Aslam F., et al. Association of smoking with recurrence of pulmonary Kochs; after completion of antituberculous treatment. J Ayub Med Coll Abbottabad. 2016;28(4):781–787. [PubMed] [Google Scholar]
- 101.Ajili I.M.E., Saad S.B., Tkhayet A.B., et al. Delayed sputum smear conversion due to cigarette smoking in active pulmonary tuberculosis. Eur Respiratory Soc. 2016;48(suppl 60):OA1515. [Google Scholar]
- 102.Rathee D., Arora P., Meena M., et al. Comparative study of clinico-bacterio-radiological profile and treatment outcome of smokers and nonsmokers suffering from pulmonary tuberculosis. Lung India. 2016;33(5):507–511. doi: 10.4103/0970-2113.188970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Rodrigo T., Casals M., Caminero J., et al. Factors associated with fatality during the intensive phase of anti-tuberculosis treatment. PLoS One. 2016;11(8) doi: 10.1371/journal.pone.0159925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Veerakumar A., Sahu S.K., Sarkar S., et al. Factors affecting treatment outcome among pulmonary tuberculosis patients under RNTCP in urban Pondicherry, India. Indian J Community Health. 2016;28:94–99. [Google Scholar]
- 105.Yen Y.-F., Chuang P.-H., Yen M.-Y., et al. Association of body mass index with tuberculosis mortality: a population-based follow-up study. Medicine. 2016;95(1):e2300. doi: 10.1097/MD.0000000000002300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Altet N., Latorre I., Jiménez-Fuentes M.Á., et al. Assessment of the influence of direct tobacco smoke on infection and active TB management. PloS One. 2017;12(8) doi: 10.1371/journal.pone.0182998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Balian D.R., Davtyan K., Balian A., et al. Tuberculosis treatment and smoking, Armenia, 2014–2016. J Clin Tuberc Other Mycobact Dis. 2017;8:1–5. doi: 10.1016/j.jctube.2017.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Jaber A.A.S., Khan A.H., Sulaiman S.A.S. Evaluating treatment outcomes and durations among cases of smear-positive pulmonary tuberculosis in Yemen: a prospective follow-up study. J Pharm Policy Pract. 2017;10:36. doi: 10.1186/s40545-017-0124-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Kalema N., Lindan C., Glidden D., et al. Predictors and short-term outcomes of recurrent pulmonary tuberculosis, Uganda: a cohort study. S Afr Respir J. 2017;23(4):106–112. [PMC free article] [PubMed] [Google Scholar]
- 110.Musteikienė G., Miliauskas S., Zaveckienė J., et al. Factors associated with sputum culture conversion in patients with pulmonary tuberculosis. Medicina (Kaunas) 2017;53(6):386–393. doi: 10.1016/j.medici.2018.01.005. [DOI] [PubMed] [Google Scholar]
- 111.Nagu T., Ray R., Munseri P., et al. Tuberculosis among the elderly in Tanzania: disease presentation and initial response to treatment. Int J Tuberc Lung Dis. 2017;21(12):1251–1257. doi: 10.5588/ijtld.17.0161. [DOI] [PubMed] [Google Scholar]
- 112.Shamaei M., Samiei-Nejad M., Nadernejad M., et al. Risk factors for readmission to hospital in patients with tuberculosis in Tehran, Iran: three-year surveillance. Int J STD AIDS. 2017;28(12):1169–1174. doi: 10.1177/0956462417691442. [DOI] [PubMed] [Google Scholar]
- 113.Tola H.H., Garmaroudi G., Shojaeizadeh D., et al. The effect of psychosocial factors and patients’ perception of tuberculosis treatment non-adherence in Addis Ababa, Ethiopia. Ethiop J Health Sci. 2017;27(5):447–448. doi: 10.4314/ejhs.v27i5.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Cailleaux-Cezar M., Loredo C., Silva J.R.L., et al. Impact of smoking on sputum culture conversion and pulmonary tuberculosis treatment outcomes in Brazil: a retrospective cohort study. J Bras Pneumol. 2018;44(2):99–105. doi: 10.1590/S1806-37562017000000161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Dizaji M.K., Kazemnejad A., Tabarsi P., et al. Risk factors associated with survival of pulmonary tuberculosis. Iran J Public Health. 2018;47(7):980–987. [PMC free article] [PubMed] [Google Scholar]
- 116.Madeira de Oliveira S., Altmayer S., Zanon M., et al. Predictors of noncompliance to pulmonary tuberculosis treatment: an insight from South America. PLoS One. 2018;13(9) doi: 10.1371/journal.pone.0202593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Mukhtar F., Butt Z.A. Risk of adverse treatment outcomes among new pulmonary TB patients co-infected with diabetes in Pakistan: a prospective cohort study. PLoS One. 2018;13(11) doi: 10.1371/journal.pone.0207148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Rosser A., Richardson M., Wiselka M.J., et al. A nested case–control study of predictors for tuberculosis recurrence in a large UK Centre. BMC Infect Dis. 2018;18(1):94. doi: 10.1186/s12879-017-2933-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Aguilar J.P., Arriaga M.B., Rodas M.N., et al. Smoking and pulmonary tuberculosis treatment failure: a case-control study [in English, Spanish] J Bras Pneumol. 2019;45(2) doi: 10.1590/1806-3713/e20180359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Azeez A., Mutambayi R., Odeyemi A., et al. Survival model analysis of tuberculosis treatment among patients with human immunodeficiency virus coinfection. Int J Mycobacteriol. 2019;8(3):244–251. doi: 10.4103/ijmy.ijmy_101_19. [DOI] [PubMed] [Google Scholar]
- 121.Castro S.S., Scatena L.M., Miranzi A., Miranzi Neto A., Nunes A.A. Characteristics of cases of tuberculosis coinfected with HIV in Minas Gerais State in 2016. Rev Inst Med Trop Sao Paulo. 2019;61:e21. doi: 10.1590/S1678-9946201961021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Gupta A., Kumar V., Mahajan A., et al. Effect of smoking on treatment outcomes among newly diagnosed Tuberculosis patients in Shimla. Indian J Community Health. 2019;31(2):193–199. [Google Scholar]
- 123.Gupte A., Selvaraju S., Paradkar M., et al. Respiratory health status is associated with treatment outcomes in pulmonary tuberculosis. Int J Tuberc Lung Dis. 2019;23(4):450–457. doi: 10.5588/ijtld.18.0551. [DOI] [PubMed] [Google Scholar]
- 124.Thomas B.E., Thiruvengadam K., Kadam D., et al. Smoking, alcohol use disorder and tuberculosis treatment outcomes: a dual co-morbidity burden that cannot be ignored. PLoS One. 2019;14(7) doi: 10.1371/journal.pone.0220507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Hameed S., Zuberi F.F., Hussain S., et al. Risk factors for mortality among inpatients with smear positive pulmonary tuberculosis. Pak J Med Sci. 2019;35(5):1361–1365. doi: 10.12669/pjms.35.5.919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Ma Y., Che N.-Y., Liu Y.-H., et al. The joint impact of smoking plus alcohol drinking on treatment of pulmonary tuberculosis. Eur J Clin Microbiol Infect Dis. 2019;38(4):651–657. doi: 10.1007/s10096-019-03489-z. [DOI] [PubMed] [Google Scholar]
- 127.Mathur N., Chatla C., Syed S., et al. Prospective 1-year follow-up study of all cured, new sputum smear positive tuberculosis patients under the Revised National Tuberculosis Control Program in Hyderabad, Telangana State, India. Lung India. 2019;36(6):519–524. doi: 10.4103/lungindia.lungindia_143_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Nakao M., Muramatsu H., Arakawa S., et al. Immunonutritional status and pulmonary cavitation in patients with tuberculosis: a revisit with an assessment of neutrophil/lymphocyte ratio. Respir Invest. 2019;57(1):60–66. doi: 10.1016/j.resinv.2018.08.007. [DOI] [PubMed] [Google Scholar]
- 129.Paunikar A.P., Khadilkar H.A., Doibale M.K., et al. Survival analysis of treatment defaulters among tuberculosis patients in government medical college and hospital, Aurangabad. Indian J Community Med. 2019;44(1):44–47. doi: 10.4103/ijcm.IJCM_292_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Reimann M., Schaub D., Kalsdorf B., et al. Cigarette smoking and culture conversion in patients with susceptible and M/XDR-TB. Int J Tuberc Lung Dis. 2019;23(1):93–98. doi: 10.5588/ijtld.18.0354. [DOI] [PubMed] [Google Scholar]
- 131.Sharma P., Lalwani J., Pandey P., et al. Factors associated with the development of secondary multidrug-resistant tuberculosis. Int J Prev Med. 2019;10:67. doi: 10.4103/ijpvm.IJPVM_298_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Wardani D.W.S.R., Wahono E.P. Predominant determinants of delayed tuberculosis sputum conversion in Indonesia. Indian J Community Med. 2019;44(1):53–57. doi: 10.4103/ijcm.IJCM_319_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Ajema D., Shibru T., Endalew T., et al. Level of and associated factors for non-adherence to anti-tuberculosis treatment among tuberculosis patients in Gamo Gofa zone, southern Ethiopia: cross-sectional study. BMC Public Health. 2020;20(1):1705. doi: 10.1186/s12889-020-09827-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.da Silva Peres Bezerra W., Lemos E.F., do Prado T.N., et al. Risk stratification and factors associated with abandonment of tuberculosis treatment in a secondary referral unit. Patient Prefer Adherence. 2020;14:2389–2397. doi: 10.2147/PPA.S266475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Khan A.H., Sulaiman S.A.S., Hassali M.A., et al. Effect of smoking on treatment outcome among tuberculosis patients in Malaysia; a multicenter study. BMC Public Health. 2020;20(1):854. doi: 10.1186/s12889-020-08856-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Pore P.D., Kumar A., Farooqui I.A. Noncompliance to directly observed treatment short course in Mulshi block, Pune district. Indian J Community Med. 2020;45(3):291–294. doi: 10.4103/ijcm.IJCM_137_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Sembiah S., Nagar V., Gour D., et al. Diabetes in tuberculosis patients: an emerging public health concern and the determinants and impact on treatment outcome. J Family Community Med. 2020;27(2):91–96. doi: 10.4103/jfcm.JFCM_296_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Serpoosh H., Hamidi Y., Eini P., et al. Association of smoking and drug abuse with treatment failure in individuals with tuberculosis: a case-control study. Adv Respir Med. 2020;88(5):383–388. doi: 10.5603/ARM.a2020.0138. [DOI] [PubMed] [Google Scholar]
- 139.Takasaka N., Seki Y., Fujisaki I., et al. Impact of emphysema on sputum culture conversion in male patients with pulmonary tuberculosis: a retrospective analysis. BMC Pulm Med. 2020;20(1):287. doi: 10.1186/s12890-020-01325-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Tok P.S.K., Liew S.M., Wong L.P., et al. Determinants of unsuccessful treatment outcomes and mortality among tuberculosis patients in Malaysia: a registry-based cohort study. PloS One. 2020;15(4) doi: 10.1371/journal.pone.0231986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Asemahagn M.A. Sputum smear conversion and associated factors among smear-positive pulmonary tuberculosis patients in East Gojjam Zone, Northwest Ethiopia: a longitudinal study. BMC Pulm Med. 2021;21(1):118. doi: 10.1186/s12890-021-01483-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Bhatti Z., Khan A.H., Sulaiman S.A.S., et al. Determining the risk factors associated with delayed sputum conversion at the end of the intensive phase among tuberculosis patients. East Mediterr Health J. 2021;27(8):755–763. doi: 10.26719/2021.27.8.755. [DOI] [PubMed] [Google Scholar]
- 143.Cao J., Liu S., Huang J. Risk factor for 31-day unplanned readmission to hospital in patients with pulmonary tuberculosis in China. Saudi Med J. 2021;42(9):1017–1023. doi: 10.15537/smj.2021.42.9.20210281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Carter B.B., Zhang Y., Zou H., et al. Survival analysis of patients with tuberculosis and risk factors for multidrug-resistant tuberculosis in Monrovia, Liberia. Plos One. 2021;16(4) doi: 10.1371/journal.pone.0249474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.de Vargas K.R., Freitas A.A., Azeredo A.C.V., et al. Smoking prevalence and effects on treatment outcomes in patients with tuberculosis. Rev Assoc Med Bras. 2021;67(3):406–410. doi: 10.1590/1806-9282.20200825. [DOI] [PubMed] [Google Scholar]
- 146.Kassim S.A., Cote A., Kassim S.M., et al. Factors influencing treatment outcomes of tuberculosis patients attending health facilities in Galkayo Puntland, Somalia. J Public Health. 2021;43(4):887–895. doi: 10.1093/pubmed/fdaa146. [DOI] [PubMed] [Google Scholar]
- 147.Lin Y., Lin H., Xiao L., et al. Tuberculosis recurrence over a 7-year follow-up period in successfully treated patients in a routine program setting in China: a prospective longitudinal study. Int J Infect Dis. 2021;110:403–409. doi: 10.1016/j.ijid.2021.07.057. [DOI] [PubMed] [Google Scholar]
- 148.Mokti K., Isa Z.M., Sharip J., et al. Predictors of delayed sputum smear conversion among pulmonary tuberculosis patients in Kota Kinabalu, Malaysia: a retrospective cohort study. Medicine. 2021;100(31) doi: 10.1097/MD.0000000000026841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Chiang C., Bam T. The impact of smoking on TB treatment outcomes includes recurrent TB. Int J Tuberc Lung Dis. 2020;24(11):1224–1225. doi: 10.5588/ijtld.20.0411. [DOI] [PubMed] [Google Scholar]
- 150.Wang E., Ahluwalia I., Mase S. Response to correspondence: the impact of smoking on TB treatment outcomes includes recurrent TB. Int J Tuberc Lung Dis. 2020;24(11):1225a–1225. doi: 10.5588/ijtld.20.0578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.van Zyl Smit R.N., Pai M., Yew W.-W., et al. Global lung health: the colliding epidemics of tuberculosis, tobacco smoking, HIV and COPD. Eur Respir J. 2010;35(1):27–33. doi: 10.1183/09031936.00072909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.US Department of Health Human Services . US Department of Health and Human Services, Centers for Disease Control and Prevention; 2014. The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General. [Google Scholar]
- 153.Chetan S. Nasal muco-ciliary clearance in snuff users. J Laryngol Otol. 1993;107(1):24–26. doi: 10.1017/s0022215100122030. [DOI] [PubMed] [Google Scholar]
- 154.Tyx R.E., Stanfill S.B., Keong L.M., et al. Characterization of bacterial communities in selected smokeless tobacco products using 16S rDNA analysis. PloS One. 2016;11(1) doi: 10.1371/journal.pone.0146939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Sterne J.A., Sutton A.J., Ioannidis J.P., et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002. doi: 10.1136/bmj.d4002. [DOI] [PubMed] [Google Scholar]
- 156.Dogar O., Vidyasagaran A. Supporting tobacco cessation in tuberculosis patients. Indian J Tuberc. 2021;68S:S89–S92. doi: 10.1016/j.ijtb.2021.08.008. [DOI] [PubMed] [Google Scholar]
- 157.Siddiqi K., Keding A., Marshall A.-M., et al. Effect of quitting smoking on health outcomes during treatment for tuberculosis: secondary analysis of the TB & Tobacco Trial. Thorax. 2022;77(1):74–78. doi: 10.1136/thoraxjnl-2020-215926. [DOI] [PubMed] [Google Scholar]
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