Sunday, June 14, 2026

Characterizing Treatment Adherence Trajectories in the endTB Multisite Cohort of DR-TB Patients [TBN 084]

A study analyzed adherence patterns and their relationship with treatment outcomes among patients with multidrug-resistant or rifampicin-resistant tuberculosis (MDR/RR-TB) enrolled in the endTB Observational Study, a prospective multicountry cohort conducted between April 2015 and December 2019. The study included patients treated with regimens containing at least bedaquiline and/or delamanid across 12 countries. The objective was to identify distinct adherence trajectories during treatment and assess how these trajectories were associated with unsuccessful treatment outcomes, defined as treatment failure, death, or loss to follow-up.

A total of 1,787 patients were included from an original cohort of 2,803 consenting participants. Eligible patients had started an endTB regimen after enrollment, had at least one month of adherence data, a recorded final treatment outcome, and complete covariate information. Monthly adherence was calculated as the proportion of prescribed treatment days on which all medications were taken as prescribed. Adherence data were collected through directly observed therapy (DOT), self-report, or pill counts, depending on treatment delivery. The investigators applied a joint latent class mixed model consisting of a multinomial logistic model for class membership, a class-specific linear mixed model for adherence trajectories, and a class-specific survival model for time to unsuccessful treatment outcome. The survival model adjusted for age, sex, previous TB treatment, HIV/antiretroviral therapy status, hepatitis C virus (HCV) infection, diabetes, extensive disease, low BMI, fluoroquinolone resistance, baseline regimen drugs, and study site.

The median age was 35 years (IQR 26-45), 36.9% were female, 65.0% had fluoroquinolone resistance, and 65.7% had extensive disease. Median treatment duration was 20 months, and median monthly adherence was 95.9% (IQR 88.8%-100%). Overall, 19.0% of patients experienced an unsuccessful outcome, including 7.6% deaths, 3.3% treatment failures, and 8.1% loss to follow-up. Four adherence trajectory classes were identified: "consistently high" (72.5%), "high to low" (14.3%), "low to high" (7.3%), and "consistently low" (5.9%). Median adherence ranged from 98.0% in the consistently high group to 42.1% in the consistently low group. Unsuccessful outcomes occurred in 74.3% of the consistently low group, 1.5% of the low-to-high group, and 6.8% of the consistently high group. Compared with the consistently high group, the adjusted hazard ratio (aHR) for unsuccessful outcomes was 23.2 (95% CI 15.7-24.3) in the high-to-low group and 43.2 (95% CI 26.2-71.5) in the consistently low group. The low-to-high group did not have a significantly different risk (aHR 0.7, 95% CI 0.1-3.8). Adherence trajectory classification predicted unsuccessful outcomes substantially better than conventional adherence measures, with an AUROC of 0.84 (95% CI 0.82-0.86) versus approximately 0.65 for classifications based on overall adherence rates.

Distinct longitudinal adherence trajectories were strongly associated with MDR/RR-TB treatment outcomes, and trajectory-based classification predicted unsuccessful outcomes more accurately than conventional summary adherence measures. These findings suggest that patterns of adherence over time may be more clinically informative than overall adherence percentages alone. Limitations include exclusion of several study sites because of adherence data quality concerns, reliance on adherence measures that partly used self-report or pill counts, and inclusion only of patients with complete data. As an observational cohort study, residual confounding cannot be excluded. 

Source: Law S, Fulcher I, Ashraf S, Bastard M, Docteur W, Franke MF, Guerra D, Hewison C, Huerga H, Khan M, Khan P. Characterizing Treatment Adherence Trajectories in the endTB Multisite Cohort of Drug-Resistant Tuberculosis Patients: An Application of Group-Based Trajectory Modeling. Clinical Infectious Diseases. 2026 Mar 15;82(3):e571-9.

TPT for Household Contacts at Health Facility and Community Settings in Pakistan [TBN 083]

A study assessed whether adding community-based services to fixed health facilities improved completion of the tuberculosis preventive treatment (TPT) cascade among household contacts of individuals with TB. It was a programmatic cascade analysis within the Zero TB Initiative conducted from January 2018 to March 2021 in Karachi and Peshawar, Pakistan, using 8 health facilities in Karachi, 6 in Peshawar, and community-based mobile X-ray van services that began in May 2019.

Household contacts were first invited to fixed health facilities for evaluation. After 2 phone reminders and a household visit, contacts who did not attend but were reachable were offered community-based screening near the patient’s home. All contacts evaluated at facilities or mobile vans received symptom screening, clinical evaluation, chest radiography, and Xpert MTB/RIF testing using sputum or stool samples when indicated. Contacts in whom TB disease was ruled out were offered TPT regardless of TB infection status. Contacts aged 2 years or older received weekly isoniazid–rifapentine for 12 doses (3HP), while children younger than 2 years received 6 months of daily isoniazid (6H). Completion was defined as at least 11 of 12 3HP doses within 16 weeks or about 160 6H doses within 7 months, assessed using pharmacy records and self-report. The cascade included household contact enumeration, TB evaluation, TB diagnosis, TPT eligibility, TPT initiation, and TPT completion. The program did not capture the number prescribed TPT between eligibility and initiation. Level of evidence: observational programmatic implementation evidence.

Overall, 24,369 of 28,443 household contacts (85.7%) completed clinical evaluation; 20,855 (85.6%) were evaluated at health facilities and 3,514 (14.4%) in community settings. TB was diagnosed in 612 of 24,369 evaluated contacts (2.5%). Among 23,757 TPT-eligible contacts, 14,436 (60.8%) initiated TPT, and 10,879 of those initiating treatment (75.4%) completed it. Adding community-based services increased clinical evaluation by 12.4 percentage points (95% CI, 11.7 to 13.0), treatment completion by 11.6 percentage points (95% CI, 10.6 to 12.7), and overall cascade completion by 5.9 percentage points (95% CI, 5.1 to 6.7). In Karachi, community-based services increased cascade completion by 4.6 percentage points (95% CI, 3.7 to 5.4); in Peshawar, the increase was 10.6 percentage points (95% CI, 8.9 to 12.3).

In conclusion, adding community-based screening and TPT follow-up to fixed facility services improved evaluation, treatment completion, and overall TPT cascade completion among household contacts in two Pakistani cities. Key limitations include the observational programmatic design, reliance partly on self-reported treatment completion, absence of captured data on TPT prescription, and limited generalizability beyond urban Zero TB Initiative settings with mobile X-ray capacity.

Source: Jaswal MR, Martinez L, Brooks M, Farooq S, Safdar N, Shah JA, Islam Z, Nasir K, Fareed U, Manzar S, Maniar R. Tuberculosis-Preventive Treatment for Household Contacts at Health Facility and Community Settings in Pakistan. Clinical Infectious Diseases. 2025 Jun 15;80(6):1290-2.

Preferences for TB Point-of-Care Tests among Tuberculosis-Affected Individuals [TBN 082]

The study aimed to quantify preferences among TB-affected adults for point-of-care (POC) TB tests compared with standard facility-based testing. This survey-based discrete choice experiment (DCE) was conducted from December 2022 to September 2024 in outpatient public health facilities in the Philippines, Vietnam, South Africa, Uganda, and India, with an additional community-based sample from Uganda.

Participants were adults aged 18 years or older with presumptive or confirmed TB. The analysis included 1149 participants who met data quality standards: 207 from India, 210 from the Philippines, 219 from South Africa, 305 from Uganda, and 208 from Vietnam. The DCE tested 5 diagnostic attributes: sample type, sensitivity, cost, location, and time to result. Participants completed 12 randomized choice tasks comparing 2 TB test options and stated whether they would actually use their preferred option. The study population had a median age of 42 years, 50.4% were female, 9.1% were HIV-positive, 13.1% had diabetes, and 32.7% had current or prior TB.

POC testing was preferred over standard-of-care testing when sensitivity was equal, with preference shares of 78.8% (95% CI, 77.9–79.8) for facility-based POC testing, 70.0% (95% CI, 68.5–71.5) for community-based POC testing, and 64.6% (95% CI, 62.7–66.5) for home-based POC testing. Preferences declined when POC sensitivity was lower: at 10% lower sensitivity, preference shares were 58.1%, 50.7%, and 47.8%, respectively; at 20% lower sensitivity, they were 41.9%, 36.3%, and 34.4%. Fifteen-minute POC testing was consistently preferred over same-day 3-hour testing, increasing preference shares by 8.6 to 11.9 percentage points. Fewer than 1.5% chose neither test, and sample type had little effect on preferences. Vietnam showed the strongest overall preferences, while country differences were more visible at lower accuracy levels. In Uganda, community-enrolled participants showed higher preferences for community and home testing than facility-enrolled participants.

Overall, TB-affected individuals generally preferred rapid POC TB testing, especially when accuracy matched standard testing, but willingness declined as sensitivity decreased. Key limitations include reliance on stated preferences rather than observed testing behavior and possible limits to generalizability beyond the included high-burden countries and enrollment settings. 

Source: Nalugwa T, Shah KM, Marcelo D, Nakawunde R, Trinh T, Emmanuel J, Nakaweesa A, Schraufnagel A, Andama A, Christopher DJ, Van Luong D. Predicted Preferences for Tuberculosis Point-of-Care Tests among Tuberculosis-Affected Individuals in Five High Burden Countries. Clinical Infectious Diseases. 2026 Jan 14:ciag022.

Saturday, June 13, 2026

Undernourished household contacts are at increased risk of TB disease, but not TB infection [TBN 081]

A prospective cohort study assessed whether undernutrition increased risk of TB infection and TB disease among household contacts of persons with TB in India. Participants were recruited within 2 months of index TB diagnosis from 5 diverse RePORT India sites and followed for a median of 24 months.

The study enrolled 857 household contacts after excluding those with microbiologically confirmed prevalent TB at baseline. Undernutrition was defined as BMI <18.5 kg/m². Incident TB was diagnosed microbiologically or clinically during follow-up, with a stricter analysis excluding cases diagnosed within 90 days. IGRA conversion was assessed among baseline IGRA-negative participants using Quantiferon Gold Plus, with standard (>0.35) and stringent (>0.70) conversion thresholds.

Among 857 participants, 239 (27.9%) were undernourished. There were 18 incident TB cases, including 10 among undernourished participants. Undernutrition was associated with higher TB disease risk (HR 3.16, 95% CI 1.25 to 8.02), but this weakened under the stricter TB definition (HR 1.88, 95% CI 0.65 to 5.43). Each 1 kg/m² higher BMI was associated with lower TB incidence risk (adjusted HR 0.85, 95% CI 0.73 to 0.98). Among 377 baseline IGRA-negative contacts, 264 had repeat testing; 56 had standard IGRA conversion and 43 had stringent conversion. BMI was not significantly associated with IGRA conversion.

Lower BMI was associated with progression to TB disease, but not clearly with new TB infection. Key limitations include few incident TB cases, possible co-prevalent disease despite sensitivity analysis, and incomplete repeat IGRA testing, which may limit precision and generalizability.

Source: Sinha P, Ezhumalai K, Du X, Ponnuraja C, Dauphinais MR, Gupte N, Sarkar S, Gupta A, Gaikwad S, Thangakunam B, Paradkar M. Undernourished household contacts are at increased risk of tuberculosis (TB) disease, but not TB infection—a multicenter prospective cohort analysis. Clinical Infectious Diseases. 2024 Jul 15;79(1):233-6.

Friday, June 12, 2026

Understanding delayed diagnosis and treatment of TB in Semarang, Indonesia [TBN 080]

Who

TB patients aged >15 years, residing in Semarang, Indonesia, already recorded as TB patients, and consenting to participate. Three extrapulmonary TB patients were excluded. Mean age was 41 years; 53.1% were female; 85% had primary–high school education; more than half had income below Semarang minimum income standard.

What

The study explored health-seeking behaviors and factors associated with diagnostic delay among TB patients. Diagnostic delay occurred in 48% of participants. Median delay was 19 days, ranging from 3 to 115 days. Almost half were diagnosed on their third care-seeking visit, and only 14.6% were diagnosed at the first health service visited. Self-treatment was common, including pharmacy use, home remedies, local drug stores, and traditional medicine.

Education level was significantly associated with delay (p = 0.014), as were poor attitudes toward TB (p = 0.027). Beliefs that TB is hereditary (p < 0.001), traditional medicine is more effective (p = 0.003), and prolonged cough is not concerning if daily activities continue (p = 0.033) were linked to delay. Multivariable results were incompletely provided, but higher education was reported with AOR = 0.348; 95% CI: 0.127–0.951; p = 0.042, though the wording appears internally inconsistent.

When

Data collection was conducted in 2022.

Where

Semarang, Central Java Province, Indonesia. Ten primary healthcare services with the highest TB incidence were purposively selected.

Why

The study addressed a knowledge gap regarding TB patients’ health-seeking behaviors and contributors to diagnostic delay in Semarang.

How

Cross-sectional study. Data were collected by trained enumerators using questionnaires at participants’ residences. Questionnaire reliability was tested among 30 patients before implementation, with acceptable to good reliability across knowledge, attitudes, beliefs, health staff support, and family support scales.

Source: Handayani S, Isworo S, Hinchcliff R, Wahyudi F, Aryani L, Triyono A. Understanding delayed diagnosis and treatment of tuberculosis: a cross-sectional study in Semarang, Indonesia. The Journal of Infection in Developing Countries. 2026 Jan 31;20(01):104-10.

Most patients with TB at Medan Pulmonary Specialty Hospital had low medication adherence [TBN079]

A study was conducted from April to May 2024 at Medan Pulmonary Specialty Hospital, North Sumatra. The study population consisted of patients with pulmonary tuberculosis receiving treatment at the DOTS Clinic. A total of 95 respondents were selected using purposive sampling. Data were collected using a medication adherence questionnaire, namely the Morisky Medication Adherence Scale-8 (MMAS-8).

Among the 95 respondents, the largest age group was 46–55 years, with 27 respondents (28.4%), while the smallest age group was >65 years, with 2 respondents (2.1%). There were 54 male respondents (56.8%) and 41 female respondents (43.2%). The most common occupation was self-employed, with 42 respondents (44.2%), while the least common was police/military, with 1 respondent (1.1%). The most common education level was senior high school/vocational high school, with 44 respondents (46.3%), while the least common was no formal education, with 2 respondents (2.1%).

Medication adherence was most commonly categorized as low, reported in 59 respondents (62.1%). Moderate adherence was reported in 21 respondents (22.1%), while high adherence was the least common category, reported in 15 respondents (15.8%).

Based on the findings, most patients with pulmonary tuberculosis at Medan Pulmonary Specialty Hospital had low medication adherence.

Source: Ginting AA, Pakpahan RE, Zebua SE. Gambaran Kepatuhan Minum Obat Penderita Tuberkulosis Paru Di Rumah Sakit Khusus Paru Medan Sumatera Utara. INNOVATIVE: Journal Of Social Science Research. 2024 Oct 17;4(5):7819-33.

Monday, May 25, 2026

Age differences in factors associated with pulmonary tuberculosis [TBN 078]

1. Who

  • Population: 715,394 Indonesian participants aged ≥16 years from RISKESDAS 2018.
  • Age groups:
    • 16–45 years: 469,517 participants
    • 46–64 years: 191,732 participants
    • ≥65 years: 54,145 participants
  • Key conditions assessed: Pulmonary tuberculosis (PTB), diabetes mellitus (DM), heart disease, smoking status, BMI, education, employment, sex, residence, and family size.

2. What

  • Study focus: Prevalence of PTB and factors associated with PTB across different age groups in Indonesia.
  • PTB prevalence:
    • 16–45 years: 3.5‰
    • 46–64 years: 6.8‰
    • ≥65 years: 9.6‰
  • Independent factors associated with PTB:
    • Age 16–45: education ≤6 years, former smoking, underweight, DM, heart disease.
    • Age 46–64: male sex, large family size, education ≤6 years, unemployment, former smoking, underweight, DM, heart disease.
    • Age ≥65: male sex, education ≤6 years, former smoking, underweight, DM, heart disease.
  • Strongest associations:
    • DM in age 16–45: aOR 6.23, 95% CI 4.37–8.89.
    • Underweight in age 46–64: aOR 3.64, 95% CI 3.02–4.39.
    • Underweight in age ≥65: aOR 2.72, 95% CI 2.09–3.55.
  • Interaction findings: Associations between PTB and former smoking, DM, and heart disease differed significantly by age group.

3. When

  • Survey year: 2018.
  • PTB definition timeframe: Diagnosed by a healthcare professional within the past year.
  • Survey frequency: RISKESDAS is conducted every five years.

4. Where

  • Location: Indonesia.
  • Coverage: All 34 provinces, 416 districts, and 98 cities.
  • Data source: Nationally representative RISKESDAS 2018 survey.

5. Why

  • Rationale: TB-DM comorbidity is linked to treatment failure, recurrence, and drug resistance.
  • Knowledge gap: Indonesia’s national TB program does not currently integrate age-specific grouping in diagnosis and treatment strategies.
  • Objective: To investigate PTB prevalence and age-specific factors associated with PTB.

6. How

  • Study design: Cross-sectional analysis of nationally representative survey data.
  • Level of evidence: Observational, cross-sectional evidence.
  • Sampling: Two-stage sampling using probability proportional to size and systematic household selection.
  • Data collection: Face-to-face interviews, structured questionnaires, visual aids, anthropometric measurements, and blood glucose testing.
  • Statistical methods:
    • Rao-Scott Chi-square tests
    • Univariable and multivariable binary logistic regression
    • Adjusted odds ratios with 95% confidence intervals
    • Interaction analysis by age group
Source: Susanti EW, Wiratama BS, Hsieh FI. Age differences in factors associated with pulmonary tuberculosis: a cross-sectional study of Indonesian Basic Health Research (RISKESDAS) 2018. Infectious Diseases. 2026 Feb 1;58(2):221-32. https://benangmerah.net/record/97/age-differences-in

Association between iron deficiency anemia and the risk of new-onset TB infection [TBN 077]

1. Who

  • Population: Adult patients aged ≥18 years from the TriNetX Research Network.
  • Sample size:
    • Initial cohorts: 177,846 patients with iron deficiency anemia (IDA) and 309,662 control patients with dermatitis.
    • Final matched cohort after 1:1 propensity score matching: 160,928 patients.
  • Demographics:
    • Mean age after matching: ~51 years.
    • Male proportion: ~27–29%.
    • Predominantly White participants (46–48%), with smaller Black/African American (~12–15%) and Asian (~5%) populations.
  • Inclusion criteria:
    • Adults with IDA (ICD-10 D50) and at least one additional IDA diagnosis within 2 years.
  • Exclusion criteria:
    • Prior tuberculosis (TB), latent TB, TB exposure, anti-TB medication use, HIV infection, organ transplantation, immunosuppressive therapy, glucocorticoid use, antineoplastic use, and other anemias.
  • Subgroups analyzed:
    • Sex (male vs female).
    • Age (18–50 years vs >50 years).

2. What

  • Research focus:
    To determine whether iron deficiency anemia is associated with an increased risk of incident tuberculosis, including pulmonary and extrapulmonary TB.
  • Primary outcome:
    Incident tuberculosis within 5 years after index diagnosis.
  • Secondary outcomes:
    • TB incidence during years 5–10.
    • Positive control outcomes: pneumonia and reactive thrombocytosis.
  • Key findings:
    • IDA was associated with higher TB risk within 5 years:
      • HR 1.48 (95% CI 1.10–2.00, p=0.010).
    • No significant association during 5–10 years:
      • HR 1.17 (95% CI 0.63–2.17, p=0.627).
    • Pulmonary TB:
      • HR 1.71 (95% CI 1.30–2.24, p<0.001).
    • Extrapulmonary TB:
      • HR 3.01 (95% CI 1.73–5.22, p<0.001).
    • Stronger associations were observed in:
      • Men: HR 2.06.
      • Younger adults (18–50 years): HR 2.42.
    • Positive controls confirmed expected associations:
      • Pneumonia HR 1.87.
      • Reactive thrombocytosis HR 3.68.
  • Authors’ conclusions:
    IDA was independently associated with increased short-term TB risk, particularly extrapulmonary TB, suggesting that iron metabolism and nutritional status may influence susceptibility to mycobacterial infection.
  • Practical implications:
    Patients with IDA may warrant closer monitoring for TB symptoms, especially in high-risk settings or populations.

3. When

  • Study period: January 1, 2010 to December 31, 2020.
  • Follow-up duration:
    • Primary analysis: within 5 years after index date.
    • Secondary analysis: 5–10 years post-index.

4. Where

  • Data source: TriNetX Research Network.
  • Geographic coverage: Multinational healthcare organizations from:
    • United States
    • Australia
    • Belgium
    • Brazil
    • Bulgaria
    • Estonia
    • France
    • Germany
    • Ghana
    • Israel
    • Italy
    • Japan
    • Lithuania
    • Malaysia
    • Poland
    • Singapore
    • Spain
    • Taiwan
    • UAE
    • United Kingdom
    • and others.
  • Institutional oversight:
    Approved by Chi Mei Medical Center IRB (Taiwan).

5. Why

  • Rationale:
    Prior evidence linking IDA with TB susceptibility was limited by small sample sizes, restricted populations, and insufficient subtype analyses.
  • Knowledge gap addressed:
    Whether IDA independently increases TB risk across diverse multinational populations and whether associations differ by TB subtype.
  • Objective:
    To evaluate the association between IDA and incident TB using a large multinational electronic health record database with robust matching and subtype analysis.

6. How

  • Study design:
    Retrospective matched cohort study (observational).
  • Data source:
    Federated electronic health records from TriNetX.
  • Comparator group:
    Patients with unspecified dermatitis (ICD-10 L30).
  • Matching method:
    1:1 propensity score matching using greedy nearest-neighbor algorithm.
  • Covariates included:
    • Age
    • Sex
    • Race
    • BMI
    • Comorbidities
    • Laboratory values
    • Diabetes medications
  • Statistical analyses:
    • Kaplan–Meier survival analysis
    • Cox proportional hazards regression
    • Schoenfeld residual testing
    • Subgroup analyses
  • Positive controls:
    Pneumonia and reactive thrombocytosis.
  • Major limitations:
    • Residual confounding cannot be excluded.
    • Lack of race-stratified subgroup analysis due to low event counts.
    • Reliance on ICD-10 coding may introduce misclassification.
    • Observational design cannot establish causality.
    • TB incidence remained relatively low despite large sample size.
  • Level of evidence:
    Moderate observational evidence (retrospective propensity-matched cohort study).
  • Funding/conflict of interest:
    Not specified in the provided text.
Source: Chen IW, Chang LC, Chang YJ, Lai YC, Hung KC. Association between iron deficiency anemia and the risk of new-onset tuberculosis infection: a matched cohort analysis. Frontiers in Nutrition. 2026 Jan 20;13:1727992. https://benangmerah.net/record/96/association-between-iron

Risk of TB in individuals with type 2 DM based on the TPI score [TBN 076]

Who

Adult patients >18 years with type 2 diabetes mellitus, with or without pulmonary TB, attending the Internal Medicine Outpatient Department at Fatmawati General Hospital. Final sample: 109 participants, comprising 39 cases with diabetes and TB and 70 controls with diabetes only. Patients with immunocompromised conditions, autoimmune disease receiving major immunosuppressive care, or incomplete records were excluded.

What

The study evaluated the tuberculosis predictive index (TPI) score for identifying TB risk among patients with diabetes. High TPI score was significantly associated with TB: 82.1% of diabetes-TB patients had high TPI scores versus 40.0% of diabetes-only patients. The association was significant, with OR 6.8, 95% CI 2.6–17.6, p<0.001.

Among individual factors, TB-like symptoms showed the strongest association with TB risk: OR 13.3, 95% CI 5.1–34.3, p<0.001. Low BMI <18.5 kg/m² was also associated with TB risk: OR 3.3, 95% CI 1.0–11.0, p=0.039. Poor housing ventilation ≤10% of floor area was associated with increased TB risk: OR 3.2, 95% CI 1.4–9.8, p=0.008.

When

Medical records from 2021–2024 were reviewed. Data collection occurred from May to August 2024, with questionnaires during July–August 2024.

Where

Fatmawati General Hospital, Internal Medicine Outpatient Clinic, Indonesia.

Why

The study addressed limitations of conventional TB screening among patients with diabetes, especially atypical presentation, latent or early TB detection difficulties, and the added complexity of poor glycemic control. The objective was to assess whether the TPI score could improve TB risk stratification in patients with diabetes.

How

Observational case-control study using consecutive sampling. Data came from medical records and patient questionnaires. The TPI score included age, sex, TB contact history, HbA1c, TB-like symptoms, BMI, diabetes duration, house ventilation, and psychological well-being. TB-like symptoms required ≥3 symptoms such as prolonged cough, hemoptysis, fever, night sweats, weight loss, or reduced appetite.

Level of evidence: observational analytic case-control evidence; useful for association and risk stratification, but not causal inference.

Major limitations: potential recall bias for subjective symptoms, reliance on medical records, single-center setting, and case-control design limiting causal conclusions.

Source: Audina DP, Aritonang RS, Mokoagow MI. Risk of tuberculosis in individuals with type 2 diabetes mellitus based on the tuberculosis predictive index score: a case-control study in Indonesia. Osong Public Health and Research Perspectives. 2025 Jun 11;16(4):406. https://benangmerah.net/record/95/risk-of-tuberculosis

Monday, May 11, 2026

Factors Associated with the Incidence of Pulmonary TB in Patients with Type 2 DM [TBN 075]

Who

The study included 110 adult patients with type 2 diabetes mellitus (T2DM) treated at Adam Malik Hospital, Medan, consisting of:

  • 55 cases: T2DM patients with pulmonary TB
  • 55 controls: T2DM patients without pulmonary TB

Eligibility criteria:

  • age ≥18 years
  • physician-diagnosed type 2 DM
  • complete medical record data

Exclusion criteria:

  • extrapulmonary TB
  • incomplete clinical documentation

Case definition:

  • pulmonary TB confirmed by GeneXpert MTB/RIF

Control definition:

  • T2DM patients with no history of pulmonary TB, based on medical records

Reported characteristics:

  • In cases, the largest subgroup was age 45–54 years (50.9%), male (62.1%), senior high school educated (54.0%), unemployed (59.6%), smokers (69.0%), and underweight (56.4%)
  • In controls, the largest subgroup was age 45–54 years (38.2%), female (68.2%), junior high school educated (66.7%), employed (60.4%), smokers (84.6%), and underweight (34.5%)

Important caution: the case and control groups appear imbalanced on several baseline characteristics, which complicates interpretation of reported odds ratios.

What

The study aimed to identify factors associated with pulmonary TB among patients with type 2 DM.

Outcome variable

  • Presence or absence of pulmonary TB

Independent variables

  • age
  • sex
  • education level
  • employment status
  • body mass index (BMI)
  • smoking history
  • HbA1c level

HbA1c classification

  • controlled: <7.0%
  • uncontrolled: ≥7.0%

Main findings

Bivariate analysis showed significant associations between pulmonary TB and:

  • age <55 years: OR 4.741; 95% CI 2.099–10.710
  • male sex: OR 3.514; 95% CI 1.569–7.869
  • unemployment: OR 2.253; 95% CI 1.050–4.834
  • smoking: OR 12.250; 95% CI 4.485–33.460
  • abnormal BMI: OR 4.225; 95% CI 1.905–9.371
  • low education: OR 3.148; 95% CI 1.430–6.931

A separate table reportedly showed that:

  • HbA1c >7% was associated with an approximately 11-fold higher risk of pulmonary TB compared with HbA1c ≤7%

In multivariable logistic regression:

  • smoking remained a significant factor and had the strongest adjusted association with pulmonary TB among T2DM patients (p < 0.001)

Authors’ interpretation: smoking was the dominant risk factor for pulmonary TB in patients with T2DM.

Careful interpretation: this study supports an association, not causation. The very large ORs for smoking and HbA1c should be interpreted cautiously given the apparent imbalance between groups and incomplete reporting of the adjusted model.

When

The study was conducted from January to June 2024.

Where

The study took place at Adam Malik Hospital, Medan, Indonesia, using hospital medical record data.

Why

The study sought to address which patient-related factors are associated with the occurrence of pulmonary TB in people with type 2 DM, a clinically important question because diabetes may increase TB susceptibility and worsen outcomes.

How

This was an observational analytical study using a case-control design.

Methods:

  • 1:1 case-control ratio
  • non-probability consecutive sampling
  • hospital-based recruitment from medical records
  • pulmonary TB diagnosis confirmed with GeneXpert MTB/RIF
  • factors assessed from clinical and demographic data

Statistical approach:

  • chi-square test for bivariate analysis
  • logistic regression for multivariable analysis

Strength of evidence

This is a hospital-based case-control study, which provides moderate observational evidence for association but is limited for causal inference. It is stronger than a purely descriptive study, but still vulnerable to selection bias, confounding, and measurement limitations.

Major limitations and interpretation issues

  1. Case and control groups may not be comparable
    The groups appear substantially different by sex, employment, education, BMI, and possibly smoking distribution. This raises concern for confounding and unstable effect estimates.
  2. Very large odds ratios need caution
    The reported ORs for smoking and HbA1c >7% are large and may partly reflect residual confounding, selection issues, or model instability.
  3. Sampling method may introduce bias
    Consecutive non-probability sampling limits representativeness and may affect internal validity.
  4. Hospital-based design
    Findings may not generalize well to all T2DM patients in the community.
  5. Control selection details are limited
    Controls were defined by absence of pulmonary TB history in records, but the text does not clarify whether they were systematically screened to exclude undiagnosed TB.
  6. Inconsistency in table presentation
    Table 1 reportedly mixes column percentages and row percentages, making interpretation less transparent.

Overall concise interpretation

This case-control study of 110 T2DM patients at Adam Malik Hospital found that younger age (<55 years), male sex, unemployment, low education, abnormal BMI, smoking, and HbA1c >7% were associated with pulmonary TB in bivariate analyses. In multivariable analysis, smoking remained the most important associated factor. However, the findings should be interpreted carefully because the case and control groups appear imbalanced, some reported effect sizes are very large, and the adjusted model is not fully presented.

Source: Harahap K, Sinaga BY, Syarani F, Eyanoer PC. Factors Associated with the Incidence of Pulmonary Tuberculosis in Patients with Type 2 Diabetes Mellitus. Mutiara Medika: Jurnal Kedokteran dan Kesehatan. 2025 Jul 31;25(2):123-31.

Characterizing Treatment Adherence Trajectories in the endTB Multisite Cohort of DR-TB Patients [TBN 084]

A study analyzed adherence patterns and their relationship with treatment outcomes among patients with multidrug-resistant or rifampicin-res...