Skip to main content
Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine logoLink to Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine
. 2026 Jan 12;51(Suppl 2):S375–S380. doi: 10.4103/ijcm.ijcm_579_24

Abnormal Liver Function at the Time of Tuberculosis Diagnosis in South India

Komal Sharma 1, K M Abdul Basith 1, Sadhana Subramanian 1, Palanivel Chinnakali 1,✉, Manju Rajaram 1, Sharbari Basu 2, Sonali Sarkar 1
PMCID: PMC13245698  PMID: 42266531

Abstract

Background and objective:

Assessing liver function before antituberculosis treatment (ATT) is not routinely recommended for all tuberculosis (TB) patients in India. This study aims to determine the proportion of adult drug-sensitive TB patients with abnormal liver function (ALF) at diagnosis and its associated factors.

Materials and Methods:

A cross-sectional study was conducted among adult TB patients notified from January 2021 to January 2023 at a tertiary care institute in Puducherry, India. Liver function tests and alcohol use assessments (using AUDIT-C) were performed. ALF was defined as aminotransferase levels more than thrice the upper normal limit (>150 mg/dL for males, >105 mg/dL for females) or total bilirubin more than twice the upper reference value (>2.0 mg/dL).

Results:

Of 1809 TB patients enrolled, 63% were males, and 14% were aged over 60 years. Microbiologically confirmed cases were 49%, and newly diagnosed cases were 89%. Alcohol use was reported by 33%, and 5% were HIV positive. ALF was present in 137 (7.5%; 95%CI: 6.3–8.7%) patients, and the proportion was higher in patients with hazardous alcohol use (11%), age >60 years (10%), HIV seropositivity (14%), and severe anemia (16%).

Conclusion:

One out of 13 TB patients had baseline ALF. Liver function tests may be recommended for selected high-risk patients before initiating ATT.

Keywords: Abnormal liver function, alcohol use during TB diagnosis, hepatotoxicity, LFT at TB diagnosis

INTRODUCTION

Hepatotoxicity during tuberculosis (TB) treatment poses a critical challenge in the treatment cascade. Hepatotoxicity affects around 2–28% of TB patients started on antituberculosis therapy (ATT).[1] Various risk factors including advanced age, harmful alcohol use, malnutrition, human immunodeficiency virus (HIV) infection, hepatitis infection, and extensive disease can contribute to this issue.[1,2] Baseline derangement of liver function test (LFT) and pre-existing liver diseases can impact the efficacy of antitubercular treatment.[1] Derangement of LFT parameters, such as aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), and total bilirubin, may provide evidence of acute or chronic liver disease in an individual.[3] Globally, abnormal liver function (ALF) is found in 9–22% of general population.[4] However, there is paucity of data with respect to prevalence of ALF particularly among TB patients before the initiation of ATT. Few studies conducted across the globe to assess the risk factors of ATT induced hepatotoxicity have reported the proportion of individuals with abnormal baseline liver enzymes to be between 3 and 19%, correlating with two to three folds’ higher risk of ATT-induced hepatotoxicity.[5,6] This risk is further aggravated by the risk factors like chronic alcoholism, hepatitis-B or C and chronic liver disease.[7]

ALF increases the risk of developing hepatotoxicity. As three of the four first-line antitubercular treatment (ATT) has an adverse effect of hepatotoxicity, monitoring liver function in patients with abnormal LFT at the time of diagnosis and during the treatment allows early detection of any hepatic injury and thus permits withdrawal of potentially hepatotoxic drugs before serious life-threatening manifestations develop.[5]

Currently, the National Tuberculosis Elimination Program (NTEP) does not mandate liver function testing for all TB patients prior to ATT initiation. The American Thoracic Society advises baseline alanine transaminase (ALT) testing for all patients beginning TB treatment, with periodic monitoring throughout treatment for patients with liver disease, abnormal LFTs, alcohol use disorder, HIV or hepatitis, or those using any hepatotoxic medications.[8] The Taiwanese Centre for Disease Control also advise baseline and routine monitoring for all TB patients, whereas the World Health Organization (WHO) urge routine liver monitoring in only high-risk patients with pre-existing liver disease, baseline derangement of LFT, chronic alcoholism, hepatitis, or prior ATT induced hepatotoxicity.[2,9] The high prevalence of alcohol use (41.6%) in Puducherry, India, further necessitates the need to know the burden of liver derangements in TB patients as it has an impact on the TB treatment outcomes.[10]

Though there are studies regarding incidence of hepatotoxicity due to antitubercular drug; we do not have much studies that focus on abnormal liver function before TB treatment initiation. Therefore, the current study was undertaken to describe the proportion of patients with abnormal liver function and its associated factors in a cohort of adult drug-sensitive TB patients before treatment initiation.

MATERIALS AND METHODS

Study design and duration

A cross-sectional analytical study was conducted on notified TB patients at a tertiary hospital in Puducherry, India, between January 2021 and January 2023.

Study setting

Annually, about 1200 patients are referred from this tertiary care hospital in Puducherry, India. The NTEP recommends random blood sugar (RBS) and HIV testing for all patients diagnosed with TB. Additionally, LFT is recommended before ATT initiation for selected patient groups like those with pre-existing liver disease, HIV seropositivity, and drug-resistant TB.[11] If there are no abnormalities in the patient’s liver function status, drug-susceptible TB patients are initiated on the standard ATT regimen, which includes a combination of Isoniazid, Rifampicin, Ethambutol, and Pyrazinamide for 6 months (4 HRZE+2HRE). However, patients exhibiting symptoms of liver disease or abnormal liver function test results are started on a modified regimen as per NTEP guidelines.[12]

Sample size and study participants

Assuming the proportion of TB patients with abnormal liver function tests (LFT) as 3% (conservative estimate based on a previous study from Mumbai), a relative precision of 25%, and an alpha error of 5%, the sample size determined was 1984 (OpenEpi version 3.01).[13] However, we included all the TB patients aged above 18 years notified from the tertiary care center. Patients diagnosed with multidrug-resistant TB were excluded.

Data sources and data entry

Information on age, gender, place of residence, type of TB, and site of TB was obtained from the TB notification register. Patients were asked about alcohol use in the year before TB diagnosis. Alcohol usage was categorized into hazardous and nonhazardous using the Alcohol Use Disorder Identification Test (AUDIT-C). As alcohol use was not reported among female TB patients in our study, a uniform AUDIT-C cut-off score of ≥4 (validated for males) was considered as hazardous use.[14]

The biochemical investigations were run in an automated blood chemical analyzer by Beckman Coulter (Model–AU 5811) to ascertain the serum levels of AST, ALT, ALP, and total bilirubin. The reports of liver function, hemogram, and hepatitis-B were accessed through the hospital information system. The elevation of AST or ALT more than thrice the upper normal limit (ULN: >150 mg/dL for males and >105 mg/dL for females) or total bilirubin more than twice (>2.0 mg/dL) the upper reference value was considered abnormal liver function.[15]

For assessing the anemic status of patients, a cut-off hemoglobin values of less than 12.0 g/dL were taken for females, and less than 13.0 g/dL was considered for males.[16] Hemoglobin level of <7 g/dL was considered severe anemia.[17] All these details were entered into REDCap, and data were imported as an Excel sheet to STATA v14 for further analysis.

Statistical analysis

The presence of abnormal liver function was summarized as frequency and percentage with a 95% confidence interval (CI). Chi-squared test was performed to assess the association between ALF and selected factors (sociodemographic and clinical) among eligible TB patients, and an adjusted prevalence ratio with 95% CIs was calculated from log-binomial regression. Variables with P < 0.2 in the unadjusted analysis were included in the regression model. All the analysis was carried out at 5% significance level using STATA version 14 (StataCorp, Texas, USA).

Ethics

Approval from the Institute Ethics Committee was obtained before the start of the study, and informed consent was obtained from all TB patients during the alcohol use assessment. The results of LFTs were reported to the treating physician for further management or decision regarding the chosen regimen.

RESULTS

Of the total 1879 adult drug-susceptible TB patients notified, 70 patients did not have LFT values, and hence, 1809 patients (96%) were included. The mean (standard deviation) age of the study participants was 43 (15) years; 1138 (63%) were males, and 1080 (60%) belonged to rural areas. Alcohol use was reported by 590 patients (33%); of them, 340 (58%) had hazardous alcohol use. Ninety-three patients (5%) had HIV; 358 patients (20%) had diabetes, and severe anemia was seen in 115 patients (6%). One patient had hepatitis C infection, and 33 (2%) had hepatitis B infection [Table 1]. Of the total, 877 (48%) had microbiologically confirmed TB, 199 (11%) were previously treated patients, and 889 (49%) had pulmonary TB.

Table 1.

Sociodemographic and clinical characteristics of adult tuberculosis patients notified during 2021–2023 at a tertiary care center, Puducherry, India (n=1809)

Characteristic Frequency (%)
Age group (years)
    18–30 447 (24.7)
    31–45 562 (31.1)
    46–60 550 (30.4)
    >60 250 (13.8)
Gender
    Male 1138 (62.9)
    Female 671 (37.1)
Area of residence
    Urban 729 (40.3)
    Rural 1080 (59.7)
Alcohol use*
    Hazardous 340 (18.8)
    Nonhazardous 250 (13.8)
    Nonusers 954 (52.7)
    Unknown† 265 (14.7)
HIV status
    Positive 93 (5.1)
    Negative 1702 (94.1)
    Unknown 14 (0.8)
Diabetes mellitus
    Yes 358 (19.8)
    No 1432 (79.2)
    Unknown 19 (1.0)
Hemoglobin (g/dL)
    <7 115 (6.4)
    ≥7 1633 (90.3)
    Unknown 61 (3.3)
Hepatitis B
    Yes 33 (1.8)
    No 1651 (91.3)
    Unknown 125 (6.9)

*Alcohol use was assessed for the year prior to the diagnosis of tuberculosis using the AUDIT-C questionnaire. Scores of 4 or more, 1–3, and 0 were categorized as hazardous use, nonhazardous use, and no use of alcohol, respectively. †Patients were not reachable to obtain alcohol history

At the time of TB diagnosis, 137 patients (7.5%, 95% CI: 6.3%−8.7%) had abnormal liver function; 42 (31%) had elevated AST, 33 (24%) had elevated ALT, while both AST and ALT were elevated in 14 (10%) patients. Total bilirubin was deranged in 91 (66%) patients, and all three parameters were elevated in two (1%) patients.

In adjusted analysis, hazardous alcohol use, age over 60 years, HIV positivity, and severe anemia were significantly associated with abnormal liver function [Table 2]. Hazardous alcohol users compared to nonusers had a higher prevalence of ALF (11% vs 7%; aPR: 1.8; 95% CI: 1.0–3.2). ALF was higher among the elderly (>60 years) than patients aged 18–30 years (10% vs 5%; aPR: 2.2; 95% CI: 1.2–4.1). TB patients with HIV had a higher prevalence of ALF as compared to HIV negative patients (14% vs 7%; aPR: 1.8; 95% CI: 1.1–3.3). Those patients with severe anemia had twice the prevalence of ACF compared to those with hemoglobin levels more than 7 g/dL (16% vs 7%; aPR: 2.2; 95% CI: 1.3–3.4).

Table 2.

Association of sociodemographic and clinical characteristics with baseline liver function in adult tuberculosis patients notified during 2021–2023 in a tertiary care center, Puducherry, India (n=1809)

Variable Liver Function*
Unadjusted PR† (95% CI) Adjusted PR‡ (95% CI) P
Total Abnormal n (%) Normal n (%)
1809 137 (7.5) 1672 (92.5)
Age groups (years)
    18–30 447 23 (5.1) 424 (94.9) ref ref –
    31–45 562 49 (8.7) 517 (91.3) 1.7 (1.0–2.7) 1.5 (0.9–2.5) 0.082
    46–60 550 39 (7.1) 516 (92.9) 1.3 (0.8–2.2) 1.4 (0.8–2.3) 0.160
    >60 250 26 (10.4) 225 (89.6) 2.0 (1.1–3.4) 2.2 (1.2–4.1) 0.006
Gender
    Male 1138 86 (7.6) 1052 (92.4) ref ref –
    Female 671 51 (7.6) 620 (92.4) 1.0 (0.7–1.4) 1.3 (0.7–2.3) 0.286
Site of TB
    Pulmonary 889 60 (6.8) 829 (93.2) ref ref –
    Extra pulmonary 920 77 (8.4) 843 (91.6) 1.2 (0.8–1.7) 1.1 (0.7–1.7) 0.577
Type of patient
    New 1610 125 (7.7) 1485 (92.2) ref – –
    Previously treated 199 12 (6.0) 187 (93.9) 0.7 (0.4–1.3) – –
Type of TB diagnosis
    Microbiologically confirmed 877 57 (6.5) 820 (93.5) ref ref –
    Clinically diagnosed 932 80 (8.5) 852 (91.4) 1.3 (0.9–1.8) 1.2 (0.8–1.8) 0.368
HIV status
    Positive 93 13 (13.9) 80 (86.1) 1.9 (1.1–3.2) 1.8 (1.1–3.3) 0.026
    Negative 1702 124 (7.3) 1578 (92.7) ref ref ref
    Unknown 14 0 (0) 14 (100) – – –
Diabetes mellitus
    Yes 358 24 (6.7) 334 (93.3) 0.8 (0.5–1.3) – –
    No 1432 111 (7.8) 1321 (92.2) ref – –
    Unknown 19 2 (10.5) 17 (89.5) 1.3 (0.3–5.0) – –
Hemoglobin (g/dL)
    <7 115 18 (15.6) 97 (84.4) 2.2 (1.3–3.4) 2.2 (1.3–3.4) 0.001
    ≥7 1633 116 (7.1) 1517 (92.9) ref ref –
    Unknown 61 3 (4.9) 58 (95.1) 0.7 (0.2–2.1) 1.0 (0.3–3.1) 0.940
Hepatitis B
    Yes 33 2 (6.1) 31 (93.9) 0.7 (0.2–2.9) 0.7 (0.2–2.8) 0.745
    No 1651 131 (7.9) 1520 (92.1) ref ref –
    Unknown 125 3 (2.4) 122 (97.6) 0.4 (0.1–1.0) 0.4 (0.1–1.1) 0.096
Alcohol use§
    Hazardous drinking 340 36 (10.6) 304 (89.4) 1.5 (1.0–2.2) 1.8 (1.0–3.2) 0.042
    Nonhazardous drinking 250 23 (9.2) 227 (90.8) 1.3 (0.8–2.1) 1.6 (0.9–3.0) 0.107
    Nonusers 954 66 (6.9) 888 (93.1) ref ref –
    Unknown 265 12 (4.5) 253 (95.5) 0.6 (0.3–1.2) 0.8 (0.4–1.7) 0.618

*Elevation of any one of the liver function enzymes (alanine transaminase or aspartate transaminase) more than thrice the upper normal limit or total bilirubin more than twice the upper normal limit was defined as abnormal liver function. †Prevalence ratio. ‡Multivariable analysis (log binomial regression) was done. Exposure variables with P<0.2 in the unadjusted analysis were included in the multivariable analysis. Model fit was assessed using BIC (–12,524), AIC (0.53), and log-likelihood (–465.2). §Alcohol use was assessed for the year prior to the diagnosis of tuberculosis using the AUDIT-C questionnaire. Scores of 4 or more, 1–3, and 0 were categorized as hazardous use, nonhazardous use, and no use of alcohol. Percentages in parentheses represent row-wise proportions within each category of the variable.

DISCUSSION

In our setting, one out of every 13 adult TB patients had abnormal liver function at the time of TB diagnosis. Hazardous alcohol use, age over 60 years, HIV-positivity, and severe anemia were associated with abnormal liver function.

Studies from India and other countries reported prevalence of ALF ranging from 6 to 20%.[18,19] The difference in the prevalence may partly be explained by the variations in the definitions used for ALF. Studies that defined ALF as values above ULN but less than three times the ULN reported higher prevalence. A study from Mumbai, India, reported a lower prevalence of 6.4% as they used five times the ULN as the cut-off.[13] Estimates of ALF could also be influenced by other factors like hepatitis B and C prevalence, alcohol use, and HIV prevalence. In addition to these clinical factors, the study setting itself may have influenced the findings. As the study was conducted in a tertiary care institute, some patients may have been referred from peripheral facilities for comorbidities or suspected liver dysfunction. This may have contributed to a higher prevalence of ALF. However, referral status was not captured, which limits further interpretation. Although there are guidelines for assessing liver injury after ATT initiation, defining ALF at baseline remains unclear in programmatic settings. Modifications in ATT regimens are considered usually based on symptoms, etiology and LFT parameters.

One-third of our TB patients reported alcohol use, with more than half exhibiting hazardous use. This finding was consistent with other studies from India.[20,21] Our study shows a two-fold higher proportion of hazardous alcohol users having abnormal LFT compared to nonusers, which is consistent with other findings.[22] Excessive alcohol consumption is associated with elevated liver enzymes, leading to alcoholic liver disorder.[23,24] Alcohol dependence is also higher among those with hazardous use.[25] Hence, evaluating LFT in these patients before TB treatment initiation can reduce ATT-induced hepatotoxicity.

In our study, elderly TB patients had a higher prevalence of ALF, similar to another study from China.[26] Increasing age and medication for comorbidities in the elderly can affect liver function. Additionally, the incidence of ATT-induced adverse events (24%) and unfavorable TB treatment outcomes (9%) was reported to be higher in this group.[27] In our setting, 5% of TB patients were HIV positive, and these patients had a higher prevalence of ALF. All these patients undergo LFT as part of the national TB guidelines. We also found an association between severe anemia and ALF. Severe anemia is a marker for severe TB disease, and studies have shown the co-existence of anemia and liver disease.[28]

Currently in India, the NTEP does not recommend routine LFT testing for all TB patients before treatment initiation. Based on our findings, we recommend that policymakers under NTEP consider targeted baseline LFT screening for high-risk subgroups such as those with hazardous alcohol use, severe anemia, or advanced age particularly in settings with adequate laboratory capacity. Monitoring liver function in these patients during treatment may enable early detection and management of ATT-induced hepatotoxicity, potentially preventing treatment interruptions and adverse treatment outcomes.[13] However, there is limited evidence from programmatic settings on whether baseline LFT testing reduces hepatotoxicity and improves treatment outcomes, highlighting the need for further research.

Although we did not perform a formal economic evaluation, implementing targeted baseline LFT under NTEP would involve incremental program costs for laboratory consumables, equipment, and staff time, which should be weighed against potential savings from reduced hospitalizations, fewer treatment interruptions, and improved treatment completion. From a program point of view, implementing such a policy could present challenges like potential laboratory overload, increased cost, and limited testing facilities at the primary healthcare level. However, expanding the testing network through a hub and spoke model and public-private partnership presents an opportunity. Targeted testing for selected groups and in regions with high alcohol use may be beneficial. Future programmatic studies should therefore evaluate both clinical effectiveness and cost-effectiveness in real-world settings to guide NTEP decision-making.

The study has a few strengths. We could perform LFT in more than 95% of TB patients in the study setting. Information on hepatitis B and C was available for nearly all patients. We used the AUDIT-C tool to capture alcohol use, though desirability bias cannot be ruled out. Information on etiology in patients with abnormal liver function tests was not available. However, there is limited evidence from programmatic settings on whether baseline LFT testing reduces hepatotoxicity and improves treatment outcomes, highlighting the need for further research.

CONCLUSION

One out of every 13 patients had abnormal liver function, with the prevalence being two times higher among patients with hazardous alcohol use. Elderly patients, HIV-positive individuals, and those with severe anemia had a higher prevalence of abnormal liver function at baseline. The above patient groups may be considered for LFT in settings where laboratory resources are available.

Ethical statement

Approval from the Institute Ethics Committee was obtained before the start of the study. (IEC approval number – JIP/IEC/2022/133) and informed consent was obtained from all TB patients during the alcohol use assessment. The results of the LFT were informed to the treating physician for further management or decision regarding the regimen to be chosen.

Conflicts of interest

There are no conflicts of interest.

Acknowledgement

We gratefully acknowledge the financial assistance provided by the JIPMER Intramural Funds for this research. We extend our gratitude to all participants for their consent and cooperation.

Funding Statement

Nil.

REFERENCES

  • 1.Tostmann A, Boeree MJ, Aarnoutse RE, de Lange WC, van der Ven AJ, Dekhuijzen R. Antituberculosis drug-induced hepatotoxicity: Concise up-to-date review. J Gastroenterol Hepatol. 2008;23:192–202. doi: 10.1111/j.1440-1746.2007.05207.x. [DOI] [PubMed] [Google Scholar]
  • 2.Dhiman RK, Saraswat VA, Rajekar H, Reddy C, Chawla YK. A guide to the management of tuberculosis in patients with chronic liver disease. J Clin Exp Hepatol. 2012;2:260–70. doi: 10.1016/j.jceh.2012.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Limdi JK, Hyde GM. Evaluation of abnormal liver function tests. Postgrad Med J. 2003;79:307–12. doi: 10.1136/pmj.79.932.307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Radcke S, Dillon JF, Murray AL. A systematic review of the prevalence of mildly abnormal liver function tests and associated health outcomes. Eur J Gastroenterol Hepatol. 2015;27:1–7. doi: 10.1097/MEG.0000000000000233. [DOI] [PubMed] [Google Scholar]
  • 5.Wilson R, Khanna A, Parvez Z, Wahedna I. Abnormal liver function tests in tuberculosis: A clinical conundrum. Eur J Intern Med. 2013;24:e61–2. [Google Scholar]
  • 6.Sharma SK, Singla R, Sarda P, Mohan A, Makharia G, Jayaswal A, et al. Safety of 3 different reintroduction regimens of antituberculosis drugs after development of antituberculosis treatment-induced hepatotoxicity. Clin Infect Dis. 2010;50:833–9. doi: 10.1086/650576. [DOI] [PubMed] [Google Scholar]
  • 7.Central TB . India TB Report 2023. New Delhi: 2023. Division – Directorate General of Health Services Ministry of Health and Family Welfare Government of India. [Google Scholar]
  • 8.Nahid P, Dorman SE, Alipanah N, Barry PM, Brozek JL, Cattamanchi A, et al. Official American Thoracic Society/Centers for Disease Control and Prevention/Infectious Diseases Society of America Clinical Practice Guidelines: Treatment of drug-susceptible tuberculosis. Clin Infect Dis. 2016;63:e147–95. doi: 10.1093/cid/ciw376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chih LH, On AW, Huang YS. Correlation of antituberculosis drug-related liver injury and liver function monitoring: A 12-year experience of the Taiwan Drug Relief Foundation. J Food Drug Anal. 2014;22:356–62. doi: 10.1016/j.jfda.2013.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Central TB . Puducherry TB Elimination Mission. Stratergy Document 2020-2025. Puducherry: 2020. Division – Directorate general of health services. [Google Scholar]
  • 11.Central TB Division – Directorate general of health services ministry of health and family welfare government of India. India TB Report 2022. 2022:1–263. [Google Scholar]
  • 12.National Tuberculosis Elimination Program, Government of India Training Modules for Programme Managers and Medical Officers (NTEP): central TB Division. 2020 [Google Scholar]
  • 13.Agal S, Baijal R, Pramanik S, Patel N, Gupte P, Kamani P, et al. Monitoring and management of antituberculosis drug induced hepatotoxicity. J Gastroenterol Hepatol. 2005;20:1745–52. doi: 10.1111/j.1440-1746.2005.04048.x. [DOI] [PubMed] [Google Scholar]
  • 14.Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The Audit Alcohol Consumption Questions (AUDIT-C): An effective brief screening test for problem drinking. Arch Inter Med. 1998;158:1789–95. doi: 10.1001/archinte.158.16.1789. [DOI] [PubMed] [Google Scholar]
  • 15.Saukkonen JJ, Cohn DL, Jasmer RM, Schenker S, Jereb JA, Nolan CM, et al. An official ATS statement: Hepatotoxicity of antituberculosis therapy. Am J Respir Crit Care Med. 2006;174:935–52. doi: 10.1164/rccm.200510-1666ST. [DOI] [PubMed] [Google Scholar]
  • 16.World Health Organization Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Available from: https://www.who.int/publications/i/item/WHO-NMH-NHD-MNM-11.1 . [Last accessed on 2023 Sep 18]
  • 17.Preethi V, Hemalatha V, Arlappa N, Thomas MB, Jaleel A. Trends and predictors of severe and moderate anaemia among children aged 6-59 months in India: An analysis of three rounds of National Family Health Survey (NFHS) data. BMC Public Health. 2024;24:2824. doi: 10.1186/s12889-024-20328-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Vaishnavi P. A study on LFT monitoring in ATT and the spectrum of anti-tuberculous drug induced liver injury. Dr. M.G.R Medical University. 2015 [Google Scholar]
  • 19.Chang TE, Huang YS, Su WJ, Perng CL, Huang YH, Hou MC. The role of regular liver function monitoring in antituberculosis drug-induced liver injury. J Chin Med Assoc. 2019;82:535–40. doi: 10.1097/JCMA.0000000000000119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Veerakumar AM, Sahu SK, Sarkar S, Kattimani S, Govindarajan S. Alcohol use disorders among pulmonary tuberculosis patients under RNTCP in urban Pondicherry, India. Indian J Tuberc. 2015;62:171–7. doi: 10.1016/j.ijtb.2015.07.017. [DOI] [PubMed] [Google Scholar]
  • 21.Gaude GS, Chaudhury A, Hattiholi J. Drug-induced hepatitis and the risk factors for liver injury in pulmonary tuberculosis patients. J Family Med Prim Care. 2015;4:238–43. doi: 10.4103/2249-4863.154661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Suhadev M, Thomas BE, Raja Sakthivel M, Murugesan P, Chandrasekaran V, Charles N, et al. Alcohol use disorders (AUD) among tuberculosis patients: A study from Chennai, South India. PLoS One. 2011;6:e19485. doi: 10.1371/journal.pone.0019485. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Alatalo P, Koivisto H, Puukka K, Hietala J, Anttila P, Bloigu R, et al. Biomarkers of liver status in heavy drinkers, moderate drinkers and abstainers. Alcohol Alcohol. 2009;44:199–203. doi: 10.1093/alcalc/agn099. [DOI] [PubMed] [Google Scholar]
  • 24.Seitz HK, Bataller R, Cortez-Pinto H, Gao B, Gual A, Lackner C, et al. Alcoholic liver disease. Nat Rev Dis Primers. 2018;4:16. doi: 10.1038/s41572-018-0014-7. [DOI] [PubMed] [Google Scholar]
  • 25.National Collaborating Centre for Mental Health (UK) Alcohol-use Disorders: Diagnosis, Assessment and Management of Harmful Drinking and Alcohol Dependence. British Psychological Society (UK) 2011 [PubMed] [Google Scholar]
  • 26.Zhang H, He SM, Sun J, Wang C, Jiang YF, Gu Q, et al. Prevalence and etiology of abnormal liver tests in an adult population in Jilin, China. Int J Med Sci. 2011;8:254–62. doi: 10.7150/ijms.8.254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Di Gennaro F, Vittozzi P, Gualano G, Musso M, Mosti S, Mencarini P, et al. Active pulmonary tuberculosis in elderly patients: A 2016-2019 retrospective analysis from an Italian Referral Hospital. Antibiotics (Basel) 2020;9:489. doi: 10.3390/antibiotics9080489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.de Mendonça EB, Schmaltz CA, Sant’Anna FM, Vizzoni AG, Mendes-De-Almeida DP, de Vasconcellos Carvalhaes de Oliveira R, et al. Anemia in tuberculosis cases: A biomarker of severity? PLoS One. 2021;16:e0245458. doi: 10.1371/journal.pone.0245458. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine are provided here courtesy of Wolters Kluwer -- Medknow Publications

RESOURCES