Prevalence of anaemia and associated factors among people with pulmonary tuberculosis in Uganda

Host Risk Factors for Tuberculosis

Tuberculosis (TB) spreads through droplets that contain Mycobacterium tuberculosis (Mtb) and can infect susceptible people. Due to different risk factors, people have different susceptibility ranges towards TB. The risk factors are classified into three main groups, including bacterial, environmental, and host factors. Literature review reveals that the most important host risk factors are aging, male gender, genetics, epigenetics, having an impaired immune system, diabetes, malignancy, malnutrition, anemia, and pregnancy. The risk factors contribute to the increase in TB cases through inflammation, increased contact with TB patients, disruption of immune genes, changes in gene expression, increased activity of Mtb, damage to cellular immunity, reactivation of Latent TB Infection (LTBI), increased susceptibility to TB, compromised immunity, and changes in the proportion of T cell subgroups, respectively. Therefore, identification of the infection source and high-risk people and timely treatment of the patients can reduce TB mortality and help control the disease.

Negative effects of undernutrition on sputum smear conversion and treatment success among retreatment cases in Uganda: A quasi-experimental study

Rationale

The causal relationship between undernutrition and response to anti-tuberculosis (TB) treatment and TB treatment outcomes among people with retreatment TB is understudied.

Objective

To evaluate the effect of undernutrition on treatment success and sputum smear conversion among people with retreatment drug-susceptible TB in Kampala, Uganda.

Methods

We conducted a quasi-experimental study utilizing propensity score weighting among people with retreatment drug-susceptible TB aged ≥ 15 years treated between 2012 and 2022 in Kampala. The primary exposure was undernutrition assessed using the mid-upper arm circumference at the time of TB diagnosis. The primary outcome was treatment success defined as cure or treatment completion at month 6. Sputum smear conversion was the secondary outcome and was measured as a change in sputum smear status from positive to negative at months 2, 5, and 6. We estimated the causal effect of undernutrition on the outcomes using a propensity-score weighted modified Poisson regression model with robust error variance.

Measurements and main results

Of the 605 participants, 432 (71.4 %) were male, 215 (35.5 %) were aged 25-34 years, 427 (70.6 %) had bacteriologically confirmed pulmonary TB, 133 (22.0 %) were undernourished and 398 (65.8 %) achieved treatment success. Of participants with bacteriologically confirmed pulmonary TB, 232 (59.0 %), 327 (59.3 %), and 360 (97.6 %) achieved sputum smear conversion at months 2, 5, and 6, respectively. Undernutrition reduced treatment success (RR 0.42, 95 % CI 0.32-0.55) as well as sputum smear conversion at months 2 (RR 0.45, 95 % CI 0.42-0.49) and 5 (RR 0.46, 95 % CI 0.43-0.51) but not month 6 (RR 0.99, 95 % CI 0.97-1.02).

Conclusion

Undernutrition negatively impacts treatment outcomes. Therefore, nutritional assessment should be an integral component of TB care, with nutritional counseling and support offered to those undernourished to optimize their TB treatment response and outcomes.

Prevalence and risk factors of malnutrition in patients with pulmonary tuberculosis: a systematic review and meta-analysis

Background

Malnutrition is prevalent in patients with pulmonary tuberculosis (PTB) and is associated with a poor prognosis.

Objective

This study aims to assess the prevalence and risk factors of malnutrition in patients with PTB.

Methods

Studies related to the prevalence and risk factors of malnutrition in patients with PTB were searched through PubMed, Embase, Web of Science, and Cochrane Library databases from January 1990 to August 2022, and two researchers screened the literature, evaluated the quality, and extracted data independently. A random-effects model was used to pool the effect sizes and 95% confidence intervals. Subgroup analysis, meta-regression analysis, and sensitivity analysis were further performed to identify sources of heterogeneity and evaluate the stability of the results. Publication bias was assessed by Doi plot, Luis Furuya-Kanamori (LFK) asymmetry index, funnel plot, and Egger's tests.

Results

A total of 53 studies involving 48, 598 participants were identified in this study. The prevalence of malnutrition was 48.0% (95% CI, 40.9-55.2%). Subgroup analysis revealed that malnutrition was more common among male gender (52.3%), bacterial positivity (55.9%), family size over 4 (54.5%), drug resistance (44.1%), residing in rural areas (51.2%), HIV infection (51.5%), Asian (51.5%), and African (54.5%) background. The prevalence of mild, moderate, and severe malnutrition was 21.4%, 14.0%, and 29.4%, respectively. Bacterial positivity (OR = 2.08, 95% CI 1.26-3.41), low income (OR = 1.44, 95% CI 1.11-1.86), and residing in rural areas (OR = 1.51, 95% CI 1.20-1.89) were risk factors of malnutrition in patients with PTB. However, male (OR = 1.04, 95% CI 0.85-1.26) and drinking (OR = 1.17, 95% CI 0.81-1.69) were not risk factors for malnutrition in patients with PTB. Due to the instability of sensitivity analysis, HIV infection, age, family size, smoking, and pulmonary cavity need to be reevaluated. Meta-regression suggested that sample size was a source of heterogeneity of prevalence. The Doi plot and LFK asymmetry index (LFK = 3.87) indicated the presence of publication bias for prevalence, and the funnel plot and Egger's test showed no publication bias for risk factors.

Conclusion

This meta-analysis indicated that malnutrition was prevalent in patients with PTB, and bacterial positivity, low income, and those residing in rural areas were risk factors for malnutrition. Therefore, clinical workers should pay attention to screening the nutritional status of patients with PTB and identifying the risk factors to reduce the incidence of malnutrition and provide nutritional interventions early to improve the prognosis in patients with PTB.

Comparative serum lipid and immunohematological values among adult pulmonary tuberculosis and tuberculosis lymphadenitis cases and their association with sputum bacilli load and time to culture positivity in Northwestern Ethiopia

BACKGROUND

The serum lipid and immunohematological values of tuberculosis lymphadenitis (TBLN) patients is poorly documented relative to pulmonary tuberculosis (PTB) cases. Therefore, the aim of this study was to investigate the serum lipid and immunohematological values of patients with TBLN in comparison with PTB (PTB) patients.

METHODS

An institution-based comparative cross-sectional study was conducted in Northwest Ethiopia from March to December 2021. The study participants were bacteriologically confirmed PTB (n = 82) and TBLN (n = 94) cases with no known comorbidity and whose ages was greater than 18 years and with no current pregnancy. Independent sample t-test, one-way ANOVA, box plot, and correlation matrix were used to analyze the data.

RESULTS

The body mass index (BMI), CD4 + T cell count, and high-density lipoprotein-Cholesterol (HDL-C) values were significantly higher among TBLN cases compared with PTB cases. Additionally, the total white blood cell (WBC) count, hemoglobin (Hb), total Cholesterol (CHO) and creatinine (Cr) values were relatively higher among TBLN than PTB (P > 0.05). On the reverse, the platelet count and triacylglycerol (TAG) values were relatively higher among PTB than in TBLN cases. While the mean days of culture positivity were 11.6 days for TBLN, the mean days of culture positivity were 14.0 days for PTB. Anemia and serum lipid values showed no correlation with sputum bacilli load and time to culture positivity.

CONCLUSION

Tuberculous lymphadenitis patients were well-endowed with serum lipid, immunological and nutritional status compared with PTB cases. Hence, the high incidence rate of TBLN in Ethiopia could not be explained by low peripheral immunohematological values, malnutrition, Anemia, and dyslipidemia. Further study for identifying the predictors for TBLN in Ethiopia is highly desirable.

Exploration of the Risk Factors of Anemia in Patients with Tuberculous Meningitis in South China

OBJECTIVE

Central nervous system (CNS) infection has a high incidence and mortality worldwide. Tuberculous meningitis (TBM) accounts for approximately 5-6% of all extrapulmonary tuberculosis (TB), and is considered an extremely lethal form of CNS TB, which has become an important threat to human health. Anemia is a common symptom of TB, and its prevalence is generally higher in patients with TBM than in other meningitis patients and healthy individuals. Anemia can increase a person's susceptibility to common infectious diseases, including TB, by compromising the immune system. Information regarding anemia during the hospitalization of TBM is still scarce in China. This study aimed to describe in detail the prevalence of anemia in patients with TBM in Southern China and its association with the clinical forms of TB, as well as other characteristics of these patients.

METHODS

We conducted a retrospective analysis of patients diagnosed with TBM at two tertiary hospitals in southern China. The demographic characteristics, clinical characteristics, and laboratory results of 114 patients with TBM were collected. Multivariate logistic regression analysis was performed to explore the risk factors for anemia in patients with TBM.

RESULTS

Electronic medical record data of adult patients diagnosed with TBM from January 2004 to December 2019 were reviewed. Among 134 patients with TBM, 20 were excluded and 114 were analyzed, of whom 33 had anemic, the prevalence rate of anemia was 28.9%. Among patients with anemia, 51.5% had hypochromic microcytic anemia, 33.3% had normochromic normocytic anemia, and 15.2% had macrocytic anemia. Fever duration, TBM grade III and ESR were found to be independent predictors of anemia.

CONCLUSION

Anemia was highly prevalent in patients with TBM, mainly hypochromic microcytic anemia. Besides, Fever duration, TBM grade III and ESR are predictors of anemia in patients with TBM.