Lung Function Impairment and Its Associated Factors in Pulmonary Tuberculosis Patients Upon Treatment Completion in Madurai District, Tamil Nadu: A Cross-Sectional Study
Pooranagangadevi Navaneethapandian, Prabhakaran S Sarma, Mahalakshmi Rajendran, Kavumpurathu R Thankappan

TL;DR
This study finds that nearly 60% of pulmonary tuberculosis patients in Tamil Nadu have impaired lung function after treatment, with prior TB episodes and severe lung damage being key risk factors.
Contribution
The study identifies specific clinical predictors of lung function impairment in post-TB patients in a regional Indian context.
Findings
59% of treated pulmonary TB patients showed lung function impairment.
Restrictive lung patterns were the most common impairment type.
Previous TB treatment history and radiological severity strongly predict LFI.
Abstract
Background While effective anti-tuberculosis treatment (ATT) has led to significant reductions in mortality, concerns persist about the potential for persistent lung damage and impaired pulmonary function among survivors. Data on the prevalence and predictors of lung function impairment (LFI) in post-TB patients in Tamil Nadu are limited. This study aims to evaluate the extent of LFI in pulmonary tuberculosis (PTB) patients upon treatment completion. Methods A cross-sectional analytical study was conducted among 132 adult patients aged 18 years and above diagnosed with PTB registered in the government National TB Elimination Program (NTEP) centres, in Madurai district, Tamil Nadu, with smear negative status at completion of standard ATT. Information was obtained on personal habits, respiratory symptoms and co-morbid conditions. A pulmonary function test was done using spirometry.…
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| Variables | Male (n=101) | Female (n=31) | Total (n=132) |
| Age group (years) | |||
| 19-30 | 40 (39.6) | 21 (67.7) | 61 (46.2) |
| 31-40 | 27 (26.7) | 7 (22.6) | 34 (25.8) |
| 41-50 | 18 (17.8) | 3 (9.7) | 21 (15.9) |
| 51-60 | 14 (13.9) | Not available | 14 (10.6) |
| 61-70 | 2 (2.0) | Not available | 2 (1.5) |
| BMI (kg/m2) | |||
| Underweight | 38 (37.6) | 4 (12.9) | 42 (31.8) |
| Normal | 58 (57.4) | 19 (61.3) | 77 (58.3) |
| Overweight | 5 (5.0) | 8 (25.8) | 13 (9.9) |
| Occupation | |||
| Unemployed | 7 (6.9) | 18 (58.1) | 25 (18.9) |
| Employed | 94 (93.1) | 13 (41.9) | 107 (81.1) |
| Diabetes | |||
| No | 95 (94.1) | 29 (93.5) | 124 (93.9) |
| Yes | 6 (5.9) | 2 (6.5) | 8 (6.1) |
| HIV Positive | |||
| No | 95 (94.1) | 28 (90.3) | 123 (93.2) |
| Yes | 6 (5.9) | 3 (9.7) | 9 (6.8) |
| Prev H/O ATT | |||
| No | 53 (52.5) | 18 (58.1) | 71 (53.8) |
| Yes | 48 (47.5) | 13 (41.9) | 61 (46.2) |
| Smear grading | |||
| ≤2+ | 80 (79.2) | 25 (80.6) | 105 (79.5) |
| >2+ | 21 (20.8) | 6 (19.4) | 27 (20.5) |
| Cavity in X ray | |||
| No | 93 (92.1) | 29 (93.5) | 122 (92.4) |
| Yes | 8 (7.9) | 2 (6.5) | 10 (7.6) |
| Lung Infiltrates | |||
| Bilateral | 57 (56.4) | 18 (58.1) | 75 (56.8) |
| Unilateral | 44 (43.6) | 13 (41.9) | 57 (43.2) |
| Variables | Male (n=101) | Female (n=31) | Total (n=132) |
| Smoking | |||
| No | 48 (47.5) | 31 (100.0) | 79 (59.8) |
| Yes | 53 (52.5) | Not available | 53 (40.2) |
| Alcohol | |||
| No | 51 (50.5) | 31 (100.0) | 82 (62.1) |
| Yes | 50 (49.5) | Not available | 50 (37.9) |
| Cough | |||
| No | 77 (76.2) | 22 (71.0) | 99 (75.0) |
| Yes | 24 (23.8) | 9 (29.0) | 33 (25.0) |
| Dyspnoea | |||
| No | 64 (63.4) | 22 (71.0) | 86 (65.2) |
| Yes | 37 (36.6) | 9 (29.0) | 46 (34.8) |
| Expectoration | |||
| No | 94 (93.1) | 31 (100.0) | 125 (94.7) |
| Yes | 7 (6.9) | Not available | 7 (5.3) |
| Hemoptysis | |||
| No | 101 (100.0) | 30 (96.8) | 131 (99.2) |
| Yes | Not available | 1 (3.2) | 1 (0.8) |
| Chest Pain | |||
| No | 99 (98.0) | 31 (100.0) | 130 (98.5) |
| Yes | 2 (2.0) | Not available | 2 (1.5) |
| CXR-Zones | |||
| <4 | 82 (81.2) | 23 (74.2) | 105 (79.5) |
| ≥4 | 19 (18.8) | 8 (25.8) | 27 (20.5) |
| Variable | Male (n=101) | Female (n=31) | Total (n=132) |
| Normal | 41 (40.6) | 13 (41.9) | 54 (40.9) |
| Restrictive pattern | 55 (54.4) | 17 (54.8) | 72 (54.5) |
| Obstructive pattern | 2 (2.0) | Not available | 2 (1.5) |
| Mixed pattern | 3 (3.0) | 1 (3.3) | 4 (3.1) |
| Normal | 41 (40.6) | 13 (41.9) | 54 (40.9) |
| LFI | 60 (59.4) | 18 (58.1) | 78 (59.1) |
| Variables | LFI n (%) | Normal n (%) | p-value |
| Age group (years) | |||
| 19-30 | 33 (54.1) | 28 (45.9) | 0.221 |
| 31-40 | 20 (58.8) | 14 (41.2) | |
| 41-50 | 15 (71.4) | 6 (28.6) | |
| 51-60 | 8 (57.1) | 6 (42.9) | |
| 61-70 | 2 (100.0) | Not available | |
| Sex | |||
| Male | 60 (59.4) | 41 (40.6) | 0.894 |
| Female | 18 (58.1) | 13 (41.9) | |
| BMI (kg/m2) | |||
| Underweight | 30 (71.4) | 12 (28.6) | 0.049 |
| Normal/Overweight | 48 (53.3) | 42 (46.71) | |
| Occupation | |||
| Unemployed | 13 (52.0) | 12 (48.0) | 0.423 |
| Employed | 65 (60.7) | 42 (39.3) | |
| Diabetes | |||
| No | 74 (59.7) | 50 (40.3) | 0.716* |
| Yes | 4 (50.0) | 4 (50.0) | |
| HIV positive | |||
| No | 75 (61.0) | 48 (39.0) | 0.159* |
| Yes | 3 (33.3) | 6 (66.7) | |
| Prev H/O ATT | |||
| No | 36 (50.7) | 35 (49.3) | 0.034 |
| Yes | 42 (68.9) | 19 (31.1) | |
| Smear grading | |||
| ≤2+ | 60 (57.1) | 45 (42.9) | 0.369 |
| >2+ | 18 (66.7) | 9 (33.3) | |
| Cavity in X-ray | |||
| No | 73 (59.8) | 49 (40.2) | 0.740* |
| Yes | 5 (50.0) | 5 (50.0) | |
| Lung infiltrates | |||
| Bilateral | 50 (66.7) | 25 (33.3) | 0.042 |
| Unilateral | 28 (49.1) | 29 (50.9) |
| Variables | LFI n (%) | Normal n (%) | p-value |
| Smoking | |||
| No | 46 (58.2) | 33 (41.8) | 0.806 |
| Yes | 32 (60.4) | 21 (39.6) | |
| Alcohol | |||
| No | 48 (58.5) | 34 (41.5) | 0.868 |
| Yes | 30 (60.0) | 20 (40.0) | |
| Cough | |||
| No | 56 (56.6) | 43 (43.4) | 0.307 |
| Yes | 22 (66.7) | 11 (33.3) | |
| Dyspnoea | |||
| No | 51 (59.3) | 35 (40.7) | 0.946 |
| Yes | 27 (58.7) | 19 (41.3) | |
| Expectoration | |||
| No | 73 (58.4) | 52 (41.6) | 0.700* |
| Yes | 5 (71.4) | 2 (28.6) | |
| Hemoptysis | |||
| No | 77 (58.8) | 54 (41.2) | 1.000* |
| Yes | 1 (100.0) | Not available | |
| Chest Pain | |||
| No | 76 (58.5) | 54 (41.5) | 0.513* |
| Yes | 2 (100.0) | Not available | |
| CXR-Zones | |||
| <4 | 57 (54.3) | 48 (45.7) | 0.027 |
| ≥4 | 21 (77.8) | 6 (22.2) |
| Variables | Adjusted OR | 95% CI | p-value |
| Age group (in years) | |||
| <30 | Ref | ||
| ≥30 | 1.8 | 0.8-4.3 | 0.147 |
| BMI (kg/m2) | |||
| Normal/Overweight | Ref | ||
| Underweight | 2.1 | 0.8-5.3 | 0.105 |
| HIV positive | |||
| No | Ref | ||
| Yes | 0.762 | 0.1-3.9 | 0.745 |
| Previous H/O ATT | |||
| No | Ref | ||
| Yes | 2.4 | 1.0-5.7 | 0.034 |
| Lung infiltrates | |||
| Unilateral | Ref | ||
| Bilateral | 7.9 | 2.7-23.3 | <0.001 |
| Smoking | |||
| No | Ref | ||
| Yes | 1.2 | 0.5-2.8 | 0.660 |
| CXR zones | |||
| <4 | Ref | ||
| ≥4 | 11.1 | 2.9-42.3 | <0.001 |
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Taxonomy
TopicsTuberculosis Research and Epidemiology · Chronic Obstructive Pulmonary Disease (COPD) Research · Asthma and respiratory diseases
Introduction
Tuberculosis (TB) remains a significant global health challenge, with India carrying a disproportionate burden of the disease [1]. Despite substantial progress in TB control, the long-term consequences of the infection, particularly on respiratory function, are not fully understood [2]. While effective anti-tuberculosis treatment has led to significant reductions in mortality, concerns persist about the potential for persistent lung damage and impaired pulmonary function among survivors, a condition now recognised as post-tuberculosis lung disease (PTLD) [3].
Prevalence estimates for lung impairment after pulmonary tuberculosis (PTB) in India vary widely, ranging from 18% to 87% depending on the study population and assessment methods [4,5]. Recent systematic reviews and meta-analyses in South-East Asia, where India is the leading contributor, report a pooled PTLD prevalence of 57.5% among TB survivors as assessed by spirometry, symptoms, or radiological abnormalities [2]. A restrictive spirometric pattern is often most prevalent, but obstructive and mixed patterns are also common [1,6]. PTLD contributes to a substantial risk of chronic respiratory disability, reduced exercise capacity, and decreased quality of life. It is linked with elevated long-term morbidity and a mortality rate up to 3.8 times higher than in the general population [1,3]. Recurrent TB episodes and incomplete anti-TB therapy further increase the risk and severity of lung impairment [1,7]. Smoking, pollution exposure, nutritional deficits, and socioeconomic status modulate susceptibility and the extent of functional loss. Poor adherence or delays in anti-TB therapy are associated with more severe sequelae.
In two recently published clinical standards, spirometry is considered essential for the evaluation of PTLD at the end of TB treatment [8,9]. Tamil Nadu, a state with a considerable TB burden, provides a valuable context to investigate the impact of TB on lung health. Studies have highlighted the association between TB and respiratory morbidity, but data on the prevalence and predictors of lung function impairment (LFI) in post-TB patients in this region are limited.
This study aims to evaluate the extent of LFI in PTB patients upon treatment completion in Tamil Nadu. By examining factors associated with impaired lung function, this research seeks to contribute to a better understanding of the long-term consequences of TB and inform targeted interventions to improve the quality of life for TB survivors.
Objectives
Primary Objective
The primary objective is to determine the prevalence of pulmonary impairment among PTB patients upon completion of standard anti-tuberculosis treatment in Madurai district, Tamil Nadu.
Secondary Objective
The secondary objective is to identify the clinical and demographic factors associated with pulmonary impairment.
Materials and methods
A cross-sectional analytical study was done among adult patients aged 18 years and above with a documented history of smear positive pulmonary TB with treatment initiated at selected government National TB Elimination Program (NTEP) centres with smear negative status at completion of standard anti-tuberculosis treatment, declared as “cured” or “treatment completed” under the National TB Program in Madurai district, Tamil Nadu. Those with a history of Concurrent severe respiratory diseases (e.g., chronic obstructive pulmonary disease, asthma), and Uncontrolled Diabetes, Hypertension were excluded.
Assuming the expected proportion of pulmonary function impairment in pulmonary tuberculosis (PTB) cases as 45.4% [10], confidence level of 95%, absolute precision of 9%, and 10% non-response, the sample size of 132 was calculated [10].
All those patients with smear negative status at TB treatment completion were screened for the study, and if found suitable, were referred to the NTEP tertiary care center for the pulmonary function test (PFT) after written informed consent. We recruited participants consecutively for six months till the required sample size was achieved.
Information was gathered about respiratory symptoms, co-morbid illnesses such as diabetes, hypertension, and cardiac issues, and habits like alcoholism and smoking. In addition to recording height, weight, and blood pressure, a general and systemic examination was carried out. Chest X-ray was obtained at the end of treatment to evaluate lung parenchymal damage. The chest X-ray was read by a single radiologist, an independent assessor, who was not aware of the spirometric findings. Specific scoring systems for radiographic zone reading were not used.
PFT was done using Easyone Spirometry in a sitting position as per standard guidelines for performing spirometry. To prevent air leakage, a nose clip was used. About 7-8 spirometry tests were performed for every subject. Acceptable values were those that fell within 5% of the three tests. Forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and the FEV1/FVC ratio were measured. PFT was done immediately on treatment completion, with a median of seven days of treatment completion, with an IQR of 5 to 9 days.
Operational definitions
Airflow obstruction was defined as FEV1/FVC <70% with FVC >80% predicted. Restrictive defects were defined as an FEV1/FVC ratio of >70% with an FVC <80% predicted. Mixed defects were defined as FVC of <80% predicted and an FEV1/FVC ratio of <70%. LFI is defined as the presence of at least one of these three abnormalities [11]. The EasyOne Connect software allows for configuring the "Predicted Reference" to appropriate, region-specific values in the Utilities menu and in this study, we used the predicted reference as established in Indian studies (Joint Indian Chest Society) [11].
Statistical analysis
Collected data were transferred to spreadsheets and IBM SPSS Statistics for Windows, Version 20 (Released 2011; IBM Corp., Armonk, New York, United States) was used for analysis. The parameters of the PFT and participant characteristics were summarised using descriptive statistics. Prevalence of LFI was calculated with 95% confidence intervals. Factors associated with LFI were explored through multivariate analysis (multiple binary logistic regression). A p-value less than 0.05 was considered statistically significant.
Results
Among the study participants, the majority were in the younger age groups, with the highest proportion of 61 individuals (46.2%) in the 19-30 years category, followed by 34 (25.8%) in the 31-40 group (Table 1). In this cohort of TB patients, 53 individuals (40.2%) were smokers and 50 (37.9%) consumed alcohol. Regarding symptoms, cough was present in 33 participants (25%) and dyspnoea (breathlessness) was reported in 46 (34.8%) (Table 2). Among the participants assessed for lung function, a total of 54 individuals (41%) exhibited normal pulmonary function. However, a larger proportion, 78 individuals (59%), showed LFI, highlighting the impact of TB on pulmonary health. The most common abnormality identified was the restrictive pattern, seen in 72 individuals (55%) (Table 3).
When evaluating its association with various demographic and clinical variables, there was a significant association of BMI (p = 0.049), with underweight individuals exhibiting a higher prevalence of LFI (30, 71.4%) compared to those with normal or overweight status (48, 53.3%). A significant association was also observed with prior history of anti-TB treatment (p = 0.034), where previously treated individuals had a higher rate of LFI (42, 68.9%) compared to newly diagnosed cases (36, 50.7%). The pattern of lung infiltrates was significant (p = 0.042), with bilateral infiltrates being more strongly associated with LFI (50, 66.7%) than unilateral infiltrates (28, 49.1%) (Table 4). A significant association was observed with radiological extent of disease, specifically the number of chest X-ray (CXR) zones involved. Participants with involvement of ≥4 zones had a significantly higher rate of LFI (21, 77.8%) compared to those with <4 zones (57, 54.3%) (p = 0.027) (Table 5).
In the multiple binary logistic regression analysis, several variables were examined to identify independent predictors of LFI. A previous history of anti-tuberculosis treatment was significantly associated with LFI, with those having been treated previously showing 2.4 times higher odds of impairment compared to new cases (95% CI: 1.0-5.7; p = 0.034). Importantly, bilateral lung infiltrates were strongly associated with LFI, with nearly 8 times higher odds compared to those with unilateral involvement (adjusted OR = 7.9; 95% CI: 2.7-23.3; p < 0.001). Likewise, patients with ≥4 chest X-ray zones affected had a significantly increased risk of LFI, with an adjusted odds ratio of 11.1 (95% CI: 2.9-42.3; p < 0.001), indicating a strong relationship between radiological disease extent and lung dysfunction (Table 6).
Discussion
This study reveals a high burden of LFI among individuals with a history of PTB, with nearly 59% of participants demonstrating abnormal spirometry, predominantly of the restrictive pattern. These findings are in concordance with several Indian studies, such as one from Puducherry where LFI prevalence was reported at 62.7% [12], and a study from Vellore that showed over 70% of treated PTB patients had spirometric abnormalities [13]. Internationally, similar rates have been documented in a meta-analysis by Allwood et al., who found that up to 68% of post-TB individuals exhibit persistent lung function deficits [14].
The restrictive pattern was the most prevalent, a trend consistently seen in both Indian [12,13] and global settings [14]. This likely reflects residual fibrotic scarring and architectural distortion following TB healing. In our multivariate analysis, history of previous TB treatment, bilateral lung infiltrates, and ≥4 zones of radiographic involvement were significant independent predictors of LFI. These are well-supported by global evidence, such as the systematic review by Meghi et al. that identified radiological extent and disease severity as key correlates of long-term pulmonary impairment [15].
Repeated episodes of TB, particularly those involving retreatment or MDR-TB, are associated with higher odds of fibrosis and bronchiectasis, leading to more severe functional impairment [16,17]. Our study’s finding that prior TB treatment increases the risk of LFI by 2.4 times reinforces this and aligns with Indian studies indicating greater lung damage in re-treatment cases [16].
Radiological severity, especially bilateral involvement and ≥4 zone disease, emerged as robust predictors. This is echoed in both Indian and international literature [2,13,15]. Studies show that higher CXR scores correlate negatively with FEV₁ and FVC [18,19]. An Indian study indicated that each unit increase in the radiological score correlated with a 4-5% decline in lung function measures [2], while Ralph et al. found a direct link between CXR abnormalities and lower diffusion lung capacity for carbon monoxide (DLCO) and total lung capacity (TLC) [19].
Interestingly, respiratory symptoms such as cough, dyspnoea, and expectoration did not show a significant association with LFI in adjusted models. This aligns with evidence suggesting that radiological and spirometric abnormalities may persist even in clinically asymptomatic individuals [15]. Our study also observed higher odds of LFI among underweight individuals, though this was not statistically significant in multivariate analysis. Malnutrition has long been recognised as both a risk factor and a consequence of pulmonary TB in India [20], and its role in recovery and post-TB sequelae merits further exploration.
The high burden of LFI highlights the critical need to incorporate pulmonary rehabilitation (PR) into routine post-TB care. Indian evidence, including the work by Singh et al., demonstrates that structured PR programs yield meaningful gains in FEV₁, six-minute walk distance, and overall health-related quality of life [21]. Internationally, PR is well established as a beneficial intervention for post-TB lung disease (PTLD), with particularly strong relevance for low- and middle-income countries that bear the greatest TB burden [22, 23].
Our study’s strengths include comprehensive data collection integrating clinical, radiographic, and functional assessments, and the use of multiple regression models to identify independent predictors. However, limitations include its cross-sectional nature, limiting causality inference, including near normal patients and lack of baseline spirometric assessment and lack of long-term follow-up or post-rehabilitation outcomes. Additionally, DLCO and high-resolution computed tomography data, which are more sensitive markers of PTLD, were not assessed. Restrictive lung disease is suggested by a reduced FVC on spirometry, but a definitive diagnosis requires confirmation of decreased TLC via plethysmography. Smoking was recorded as binary; residual confounding by cumulative tobacco exposure cannot be excluded in this study.
Conclusions
Given that India contributes to a quarter of global TB cases, the National TB Elimination Programme must consider integrating post-TB lung assessment, including routine spirometry and rehabilitation referrals, into its guidelines. The WHO’s roadmap for post-TB care also emphasises these components, recommending surveillance of pulmonary function and targeted interventions in high-risk patients.
LFI is highly prevalent among post-TB individuals, with previous TB episodes, radiological severity, and bilateral infiltrates being strong predictors. These findings underscore the necessity of post-treatment pulmonary surveillance, spirometry, and PR to be integrated into TB care frameworks, especially in high-burden countries like India.
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