Predictors of extrapulmonary tuberculosis among diabetic patients at Debre Markos compressive specialized hospital, Ethiopia, 2021: A retrospective cohort study

Undernutrition as a risk factor for tuberculosis disease

BACKGROUND

Tuberculosis (TB) is a leading cause of mortality due to an infectious disease, with an estimated 1.6 million deaths due to TB in 2022. Approximately 25% of the global population has TB infection, giving rise to 10.6 million episodes of TB disease in 2022. Undernutrition is a key risk factor for TB and was linked to an estimated 2.2 million TB episodes in 2022, as outlined in the World Health Organization (WHO) Global Tuberculosis Report.

OBJECTIVES

To determine the prognostic value of undernutrition in the general population of adults, adolescents, and children for predicting tuberculosis disease over any time period.

SEARCH METHODS

We searched the literature databases MEDLINE (via PubMed) and WHO Global Index Medicus, as well as the WHO International Clinical Trials Registry Platform (ICTRP) on 3 May 2023 (date of last search for all databases). We placed no restrictions on the language of publication.

SELECTION CRITERIA

We included retrospective and prospective cohort studies, irrespective of publication status or language. The target population comprised adults, adolescents, and children from diverse settings, encompassing outpatient and inpatient cohorts, with varying comorbidities and risk of exposure to tuberculosis.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodology and the Quality In Prognosis Studies (QUIPS) tool to assess the risk of bias of the studies. Prognostic factors included undernutrition, defined as wasting, stunting, and underweight, with specific measures such as body mass index (BMI) less than two standard deviations below the median for children and adolescents and low BMI scores (< 18.5) for adults and adolescents. Prognostication occurred at enrolment/baseline. The primary outcome was the incidence of TB disease. The secondary outcome was recurrent TB disease. We performed a random-effects meta-analysis for the adjusted hazard ratios (HR), risk ratios (RR), or odds ratios (OR), employing the restricted maximum likelihood estimation. We rated the certainty of the evidence using the GRADE approach.

MAIN RESULTS

We included 51 cohort studies with over 27 million participants from the six WHO regions. Sixteen large population-based studies were conducted in China, Singapore, South Korea, and the USA, and 25 studies focused on people living with HIV, which were mainly conducted in the African region. Most studies were in adults, four in children, and three in children and adults. Undernutrition as an exposure was usually defined according to standard criteria; however, the diagnosis of TB did not include a confirmatory culture or molecular diagnosis using a WHO-approved rapid diagnostic test in eight studies. The median follow-up time was 3.5 years, and the studies primarily reported an adjusted hazard ratio from a multivariable Cox-proportional hazard model. Hazard ratios (HR) The HR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. We present 95% confidence intervals (CI) and prediction intervals, which present between-study heterogeneity represented in a measurement of the variability of effect sizes (i.e. the interval within which the effect size of a new study would fall considering the same population of studies included in the meta-analysis). Undernutrition may increase the risk of TB disease (HR 2.23, 95% CI 1.83 to 2.72; prediction interval 0.98 to 5.05; 23 studies; 2,883,266 participants). The certainty of the evidence is low due to a moderate risk of bias across studies and inconsistency. When stratified by follow-up time, the results are more consistent across < 10 years follow-up (HR 2.02, 95% CI 1.74 to 2.34; prediction interval 1.20 to 3.39; 22 studies; 2,869,077 participants). This results in a moderate certainty of evidence due to a moderate risk of bias across studies. However, at 10 or more years of follow-up, we found only one study with a wider CI and higher HR (HR 12.43, 95% CI 5.74 to 26.91; 14,189 participants). The certainty of the evidence is low due to the moderate risk of bias and indirectness. Odds ratio (OR) Undernutrition may increase the odds of TB disease, but the results are uncertain (OR 1.56, 95% CI 1.13 to 2.17; prediction interval 0.61 to 3.99; 8 studies; 173,497 participants). Stratification by follow-up was not possible as all studies had a follow-up of < 10 years. The certainty of the evidence is very low due to the high risk of bias and inconsistency. Contour-enhanced funnel plots were not reported due to the few studies included. Risk ratio (RR) Undernutrition may increase the risk of TB disease (RR 1.95, 95% CI 1.72 to 2.20; prediction interval 1.49 to 2.55; 4 studies; 1,475,867 participants). Stratification by follow-up was not possible as all studies had a follow-up of < 10 years. The certainty of the evidence is low due to the high risk of bias. Contour-enhanced funnel plots were not reported due to the few studies included.

AUTHORS' CONCLUSIONS

Undernutrition probably increases the risk of TB two-fold in the short term (< 10 years) and may also increase the risk in the long term (> 10 years). Policies targeted towards the reduction of the burden of undernutrition are not only needed to alleviate human suffering due to undernutrition and its many adverse consequences, but are also an important part of the critical measures for ending the TB epidemic by 2030. Large population-based cohorts, including those derived from high-quality national registries of exposures (undernutrition) and outcomes (TB disease), are needed to provide high-certainty estimates of this risk across different settings and populations, including low and middle-income countries from different WHO regions. Moreover, studies including children and adolescents and state-of-the-art methods for diagnosing TB would provide more up-to-date information relevant to practice and policy.

FUNDING

World Health Organization (203256442).

REGISTRATION

PROSPERO registration: CRD42023408807 Protocol: https://doi.org/10.1002/14651858.CD015890.

Prevalence and Associated Factors of Diabetes Mellitus Type 2 Among Tuberculosis Patients in Muscat, Oman, 2017-2020

Objectives

Diabetes mellitus (DM) and tuberculosis (TB) are global public health concerns and leading causes of mortality and morbidity worldwide. Coinfection is known to complicate TB control and outcomes. However, there is no national study regarding the prevalence of DM among TB patients in Oman. The objective of the current study was to assess the prevalence of DM and its associated factors among TB patients in Muscat, Oman.

Methods

We conducted an analytical cross-sectional study using secondary data from the electronic system of the Ministry of Health (Al-Shifa 3+). It includes all adult TB patients in Muscat, from 2017-2020. Sociodemographic data, clinical characteristics, and comorbidities of TB patients were collected. SPSS with 95% CI and p-value ≤ 0.05 was used for statistical analysis.

Results

Of 426 TB cases, the prevalence of DM was 27.0%. The associated factors of DM were age group 40-54 years (odds ratio (OR) = 9.08, 95% CI: 4.16-19.84) and ≥ 55 years (OR = 11.35, 95% CI: 5.19-24.82), male (OR = 2.35, 95% CI: 1.45-3.81), being married (OR = 13.18, 95% CI: 4.72-36.84), being employed (OR = 2.30, 95% CI: 1.19-4.47), and Bangladeshi (OR = 7.08, 95% CI: 2.50-20.12) or Indian (OR = 6.14, 95% CI: 2.40-15.70) nationality. The absence of Bacillus Calmette-Guérin scar (OR = 2.06, 95% CI: 1.19-3.56), death (OR = 7.08, 95% CI: 1.26-7.82), and cured after TB treatment (OR = 3.02, 95% CI 1.71-5.31) showed significant association. Also, smoking (OR = 2.93, 95% CI: 1.81-4.76), drinking alcohol (OR = 1.79, 95% CI: 1.10-2.91), hypertension (OR = 10.45, 95% CI: 5.29-20.64), heart disease (OR = 8.50, 95% CI: 1.69-42.77), and renal disease (OR = 4.84, 95% CI: 1.71-13.64) contributed to the study's comorbidities. Old age (adjusted OR = 2.30, 95% CI: 1.72-3.06) and hypertension (adjusted OR = 5.21, 95% CI: 2.28-11.87) were found to be predictors of DM among TB patients.

Conclusions

The prevalence of DM among TB patients in Muscat is high. Integrated systematic bidirectional TB-DM screening is needed. Furthermore, special attention is required for associated factors when managing these comorbidities.

Knowledge of symptoms and delays in diagnosis of extrapulmonary tuberculosis patients in North Shewa zone, Ethiopia

Introduction

Delayed diagnosis contributes to the high burden and transmission of tuberculosis and extrapulmonary tuberculosis (EPTB) and continued to be a major public health problem in Ethiopia. Currently, there is insufficient knowledge on the contributing factors to diagnostic delay of EPTB patients in healthcare settings in Ethiopia, because of unique cultural and societal issues in this country. This study assessed patients’ knowledge of symptoms and contributing factors of delay in diagnosis of EPTB patients at selected public health facilities in North Shewa zone, Ethiopia.

Methods

An institutional-based study was conducted from March to April 2021. All recently registered EPTB patients were included. Logistic regression was performed to analyze the data. A significant association was declared at a p-value of < 0.05, and the results were presented with an adjusted odds ratio (AOR) and the corresponding 95% confidence interval (CI).

Results

In this study, only 15.5% of respondents knew EPTB symptoms. The median patient and healthcare system delay was 55 days. A patient delay of greater than 3 weeks and a health system delay of greater than 2 weeks were observed among 85.2% and 81% of patients, respectively. After the end of 5 weeks, 87.3% of EPTB patients had been diagnosed with the disease and the total median delay was 108.5 days. Living more than ten kilometers far from a health facility (AOR = 1.54; 95% CI = 1.11, 4.63), having never heard of EPTB disease (AOR = 5.52; 95% CI = 1.73, 17.56), and having ever taken antibiotics at the first health facility visit (AOR = 7.62; 95% CI = 2.26, 25.65) were associated with a total diagnostic delay of beyond 5 weeks.

Conclusions

The diagnostic delays of EPTB remain high. Both patient and health system delays equally contributed to the total diagnosis delay. Improving community awareness of EPTB and advancing diagnostic efficiencies of healthcare facilities could help reduce both delays.