BACKGROUND: In the absence of reliable data on drug-resistant TB in Eritrea, a national survey was conducted in 2018 using molecular-based methods, bypassing the need for culture.METHODS: A cross-sectional study was conducted in all 77 TB microscopy centres in the country. All 629 newly registered sputum smear-positive pulmonary TB patients were enrolled over 12 months. Sputum samples were tested using the Xpert® MTB/RIF assay and targeted next-generation sequencing (Deeplex Myc-TB) to identify resistance and explore the phylogenetics of Mycobacterium tuberculosis complex strains.RESULTS: Drug resistance profiles were obtained for 555 patients (502 new, 53 previously treated). The prevalence of rifampicin-resistant TB (RR-TB) was respectively 2.0% and 7.6% among new and previously treated cases. All RR-TB isolates that were susceptible to isoniazid displayed a phylogenetic marker conferring capreomycin resistance, confirming circulation of a previously described resistant TB sub-lineage in the Horn of Africa. Only one case of fluoroquinolone resistance was detected.CONCLUSION: The prevalence of rifampicin resistance among TB patients is encouragingly low. The scarcity of fluoroquinolone resistance bodes well for the success of the recommended all-oral treatment regimen. Surveillance based on molecular approaches enables a reliable estimation of the burden of resistance and can be used to guide appropriate treatment and care.
Background Despite the negative impact of tuberculosis (TB) on patients’ quality of life, TB control programs focus on biological and clinical parameters to manage and monitor TB patients. In our setting, patients’ perception of their experience with TB and the impacts of TB on patients’ physical, mental, and social wellbeing remain unknown. Objective The objective of this study was to evaluate the health-related quality of life (HRQOL) among rifampicin/multidrug-resistant TB (RR/MDR-TB) in comparison to drug-susceptible TB (DS-TB) patients in Eritrea. Methods A cross-sectional study was conducted in RR/MDR-TB and DS-TB patients under treatment. Anonymized data collected using the WHOQOL-BREF questionnaire were analyzed using SPSS version 23. Frequency, mean and standard deviation were used to describe the data. Mean group score comparison and relationship between variables were assessed using t -test. Domain score was calculated with a mean score of items within each domain and scaled positively, a higher (increasing) score denoting a higher quality of life. Internal consistency was measured using Cronbach’s alpha and statistical significance was set at p < 0.05. Results A total of 92 patients (46 RR/MDR-TB and 46 DS-TB) participated in the study. Environmental (40.63 ± 10.72) and physical domains (61.80 ±17.18) were the two most affected domains in RR/MDR-TB and DS-TB patients, respectively. The psychological domain was the least affected domain in RR/MDR-TB (48.28 ± 20.83) and DS-TB patients (76.63 ±15.32). RR/MDR-TB patients had statistically lower mean scores in all domains than DS-TB patients. Conclusion HRQOL was impaired in both groups, but RR/MDR-TB patients had a worse health-related quality of life.
Background Both diabetes mellitus (DM) and tuberculosis (TB) are among the leading causes of morbidity and mortality in Eritrea. TB-DM comorbidity is known to complicate TB care, control and prevention. However, systematically studied epidemiological data on TB-DM comorbidity and its associated risk factors are lacking in this country. Objective This study aimed to assess the prevalence of DM and its associated factors among TB patients in the Maekel region, Eritrea. Methods Analytical cross-sectional study was conducted in eleven TB diagnostic and treatment sites. Pretested data extraction tool was used to collect data from medical records. Prevalence data were analysed using frequencies, proportions and median. To determine DM risk factors, univariable and multivariable logistic regression analysis was done with 95% CI and p value < 0.05 considered significant. Results Out of total eligible (1134) TB cases, DM prevalence was 9.88%. Age and BMI were identified as independent risk factors for DM among TB patients. Higher odds of DM were found among TB patients aged 45–54 (aOR: 4.85[1.39–16.94], p= 0.013) and those ≥55 (aOR: 6.99[2.12–23.04], p= 0.001). TB cases with normal BMI were two times more likely to have DM (aOR: 2.00[1.23–3.26], p= 0.005) compared to those underweight. Conclusion The prevalence of DM among TB cases observed in this study is high, a clarion call to scale up current efforts to integrate TB-DM services within routine care. Furthermore, age and BMI were identified as independent risk factors for DM in TB cases, pointing to the need to pay attention to age and BMI status when managing this co-morbidity.
Background Eritrea has achieved the global target (90%) for tuberculosis (TB) treatment success rate. Though, events of unsuccessful TB treatment outcomes (death, treatment failure, lost to follow up and not evaluated) could lead to further TB transmission and the development of resistant strains. Hence, factors related to these events should be explored and addressed. This study aims to fill the gap in evidence by identifying the determinants of unsuccessful TB treatment outcomes in Eritrea’s Northern Red Sea region. Methods A retrospective cohort study was conducted in Eritrea’s Northern Red Sea region. Data collected using a data extraction tool was analyzed using Stata version 13. Frequencies, proportions, median and standard deviations were used to describe the data. Furthermore, univariable and multivariable logistic regression analysis were performed to determine the risk factors for unsuccessful TB treatment outcomes. Crude odds ratio (COR) and adjusted odds ratio (AOR) with their 95% confidence interval (CI) presented and p-value < 0.05 was considered statistically significant. Results Among 1227 TB patients included in this study, 9.6% had unsuccessful TB treatment outcomes. In multivariable logistic regression analysis, TB cases 55–64 years old (AOR: 2.75[CI: 1.21–6.32], p = 0.016) and those ≥ 65 years old (AOR: 4.02[CI: 1.72–9.45], p = 0.001) had 2.7 and 4 times higher likelihood of unsuccessful TB treatment outcome respectively. In addition, HIV positive TB patients (AOR: 5.13[CI: 1.87–14.06], p = 0.002) were 5 times more likely to have unsuccessful TB treatment outcome. TB treatment in Ghindae Regional Referral Hospital (AOR: 5.01[2.61–9.61], p < 0.001), Massawa Hospital (AOR: 4.35[2.28–8.30], p< 0.001) and Nakfa Hospital (AOR: 2.53[1.15–5.53], p = 0.021) was associated with 5, 4 and 2.5 higher odds of unsuccessful TB treatment outcome respectively. Conclusion In this setting, old age, HIV co-infection and health facility were the independent predictors of unsuccessful TB treatment outcome.
Background : In Eritrea, no study document the true burden of TB-diabetes comorbidity. However, diabetes has been constantly increasing with a prevalence of 3.4 %. Similarly, even though TB notification is showing a declining trend the prevalence is 123/100,000 population. With an increasing diabetes trend, the country is at higher risk of rising TB-diabetes comorbidity which can further complicate TB care, control and prevention activities. Thus, this study was conducted to assess the prevalence of diabetes among pulmonary positive TB patients and its influencing factors in Maekel zone, Eritrea. Methods: This study was a cross sectional study conducted in all (11) TB diagnostic and treatment sites of Maekel zone. All consecutive pulmonary positive TB cases who were registered during the period of 2015-2018 in the national TB treatment register and were eligible included in the analysis. Pretested data extraction tool was used to collect the required information. Data analysis was done by SPSS version 23. Simple frequencies, percentages and means were used to describe the data. Chi-square test and logistic regression analysis was also performed. Results: A total of 490 pulmonary positive TB cases were eligible for the study and the overall prevalence of diabetes among pulmonary positive TB cases was 4.3%. Univariate logistic regression showed that participants with an older age (45-90) were more likely to have TB-diabetes comorbidity (COR: 4.397[CI: 1.675-11.545], p<0.01) than those aged 10-44 years old. In addition, subjects whose weight was 65kg and above were more likely (COR: 7.647[CI: 1.965-29.758], p<0.01) to have TB- diabetes comorbidity than those with lower body weight. Conclusion: TB-diabetes comorbidity observed in this study is low but given the growing diabetes trend in the country, an integrated TB-DM services should be given regularly on full scale at all health facilities.
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