Cardiovascular risk factors among people with drug-resistant tuberculosis in Uganda

Cardiac Tuberculosis: A Case Series from Ethiopia, Italy, and Uganda and a Literature Review

Extrapulmonary tuberculosis (TB) is estimated to account for up to 20% of active cases of TB disease, but its prevalence is difficult to ascertain because of the difficulty of diagnosis. Involvement of the heart is uncommon, with constrictive pericarditis being the most common cardiac manifestation. Diagnostic research for cardiac disease is frequently lacking, resulting in a high mortality rate. In addition to direct cardiac involvement, instances of cardiac events during antitubercular therapy are described. This case series describes five cases of TB affecting the heart (cardiac TB) from Italy and high-burden, low-income countries (Ethiopia and Uganda), including a case of Loeffler syndrome manifesting as myocarditis in a patient receiving antitubercular therapy. Our study emphasizes how cardiac TB, rare but important in high-burden areas, is a leading cause of pericardial effusion or pericarditis. Timely diagnosis and a comprehensive approach, including imaging and microbiological tools, are crucial. Implementing high-sensitivity methods and investigating alternative samples, such as detection of tuberculosis lipoarabinomannan or use of the GeneXpert assay with stool, is recommended in TB control programs.

Association between biomarkers of inflammation and dyslipidemia in drug resistant tuberculosis in Uganda

BACKGROUND

Active tuberculosis (TB) significantly increases the risk of cardiovascular disease, but the underlying mechanisms remain unclear. This study aimed to investigate the association between inflammation biomarkers and dyslipidemia in patients with drug-resistant TB (DR-TB).

METHODS

This was a secondary analysis of data from a cross-sectional multi-center study in Uganda conducted 2021. Participants underwent anthropometric measurements and laboratory tests included a lipid profile, full haemogram and serology for HIV infection. Dyslipidemia was defined as total cholesterol > 5.0 mmol/l and/or low-density lipoprotein cholesterol > 4.14 mmol/l, and/or triglycerides (TG) ≥ 1.7 mmol/l, and/or high density lipoprotein cholesterol (HDL-c) < 1.03 mmol/l for men and < 1.29 mmol/l for women. Biomarkers of inflammation were leukocyte, neutrophil, lymphocyte, monocyte, and platelet counts, as well as neutrophil/lymphocyte (NLR), platelet/lymphocyte, and lymphocyte/monocyte (LMR) ratios, mean corpuscular volume (MCV), and the systemic immune inflammation index (SII) (neutrophil × platelet/lymphocyte). Modified Poisson Regression analysis was used for determining the association of the biomarkers and dyslipidemia.

RESULTS

Of 171 participants, 118 (69.0%) were co-infected with HIV. The prevalence of dyslipidemia was 70.2% (120/171) with low HDL-c (40.4%, 69/171) and hypertriglyceridemia (22.5%, 38/169) being the most common components. Patients with dyslipidemia had significantly higher lymphocyte (P = 0.008), monocyte (P < 0.001), and platelet counts (P = 0.014) in addition to a lower MCV (P < 0.001) than those without dyslipidemia. Further, patients with dyslipidemia had lower leucocyte (P < 0.001) and neutrophil (P = 0.001) counts, NLR (P = 0.008), LMR (P = 0.006), and SII (P = 0.049). The MCV was inversely associated with low HDL-C (adjusted prevalence ratio (aPR) = 0.97, 95% CI 0.94-0.99, P = 0.023) but was positively associated with hypertriglyceridemia (aPR = 1.04, 95% CI 1.00-1.08, P = 0.052).

CONCLUSIONS

Individuals with dyslipidemia exhibited elevated lymphocyte, monocyte, and platelet counts compared to those without. However, only MCV demonstrated an independent association with specific components of dyslipidemia. There is need for further scientific inquiry into the potential impact of dyslipidemia on red cell morphology and a pro-thrombotic state among patients with TB.

Tuberculosis and diabetes mellitus comorbidity in an adult Ugandan population

BACKGROUND

Diabetes mellitus (DM) has a direct impact on the clinical manifestation and prognosis of active tuberculosis disease (TB) and is known to increase the chance of developing the condition. We sought to determine the prevalence of DM in adult Ugandan patients with recently diagnosed TB and the associated sociodemographic, anthropometric, and metabolic characteristics of TB-DM comorbidity.

METHODS

In this cross-sectional study conducted at the adult TB treatment centres of three tertiary healthcare facilities in Uganda, we screened adult participants with recently diagnosed TB (diagnosed in < 2 months) for DM. All participants were screened with five tests; initially with a random blood glucose (RBG) test, and then later with fasting blood glucose (FBG), laboratory-based glycated hemoglobin (HbA1c), point-of-care (POC) HbA1c, and oral glucose tolerance test (OGTT) if the RBG was ≥ 6.1 mmol/l. The WHO guidelines for diagnosing and managing DM were used to support the DM diagnosis. To identify the factors associated with DM-TB comorbidity, logistic regression was used.

RESULTS

A total of 232 participants with recently diagnosed TB were screened for DM. Of these, 160 (69%) were female. The median (IQR) age, body mass index, and RBG of all study participants was 35 (27-42) years, 19.2 (17.6-21.3) kg/m2, and 6.1 (5.5-7.2) mmol/l, respectively. About half of the participants (n = 117, 50.4%) had RBG level ≥ 6.1 mmol/l. Of these, 75 (64.1%) participants returned for re-testing. Diabetes mellitus was diagnosed in 32 participants, corresponding to a prevalence of 13.8% (95% CI 9.9-18.9). A new diagnosis of DM was noted in 29 (90.6%) participants. On logistic regression, age ≥ 40 years was associated with increased odds of TB and DM comorbidity (AOR 3.12, 95% CI 1.35-7.23, p = 0.008) while HIV coinfection was protective (AOR 0.27, 95% CI 0.10-0.74, p = 0.01).

CONCLUSION

TB and DM comorbidity was relatively common in this study population. Routine screening for DM in adult Ugandan patients with recently diagnosed TB especially among those aged ≥ 40 years and HIV-negative patients should be encouraged in clinical practice.

Prevalence of Risk Factors for Hypertension Among Faculty at an Urban University in Uganda

Purpose

Hypertension is a major contributor to morbidity and mortality worldwide. Many people however are not aware of their possession of risk factors for hypertension. There is a paucity of literature in Uganda describing the risk profile of faculty at public universities. The purpose of this study was to determine the prevalence of hypertension risk factors among university teaching staff.

Methods

This study was conducted among faculty at Makerere University in Uganda. The modified World Health Organization STEP-wise approach for non-communicable disease surveillance was used in data collection. Hypertension was defined as having a systolic blood pressure of ≥140mmHg and/or a diastolic blood pressure of ≥90mmHg, or being on antihypertensive medications. Participants were enrolled from the faculty lists by proportionate to size systematic sampling until the sample size for each college was obtained. Data was collected from January to March 2018. Multivariate logistic regression was used to determine factors associated with hypertension.

Results

A total of 141 participants were recruited into the study. The prevalent risk factors for hypertension include physical inactivity (78.7%), overweight (46.8%), obesity (20.6%), addition of extra salt to food (46.8%), current alcohol consumption (33.3%), history of smoking (10.6%), inadequate fruit and vegetable servings per day (100%), family history of hypertension (40.4%) and a family history of diabetes (22.7%). Hypertension was prevalent at 26.2% (95% CI 18.94-33.46%). The risk factors significantly associated with hypertension included a family history of hypertension (p=0.009), obesity (p=0.008) and male gender (p = 0.029).

Conclusion

The prevalence of known hypertension risk factors among university teaching staff in urban Uganda is high. Majority of these risk factors are modifiable highlighting the need for continuous screening as well as introduction of prevention and health promotion strategies to reduce the risk burden.