The prevalence of latent tuberculosis infection in patients with chronic kidney disease: A systematic review and meta-analysis.

Objective: To estimate the prevalence of latent tuberculosis infection (LTBI) in chronic kidney disease (CKD) patients. Methods: This study was conducted following the PRISMA guidelines. We identified, 3694 studies from the whole search, and 59 studies were included. Each study's quality was assessed using JBI checklist. We employed STATA version 17 for statistical analysis. We assessed heterogeneity using I2 heterogeneity test. Publication bias was assessed using funnel plot and Egger's test. We estimated the pooled LTBI prevalence in CKD patients along with 95%CI. Results: The pooled prevalence of LTBI among CKD patients using data collected from 53 studies having 12,772 patients was 30.2% (95%CI; 25.5, 34.8). The pooled prevalence among pre-dialysis, hemodialysis, peritoneal dialysis, and renal transplanted patients was 17.8% (95%CI; 3.3, 32.4), 34.8% (95%CI; 29.1, 40.5), 25% (95%CI; 11, 38), and 16% (95%CI; 7, 25), respectively. The pooled prevalence of LTBI stratified by the laboratory screening methods was 25.3% (95%CI: 20.3-30.3) using TST, 28.0% (95%CI; 23.9-32.0) using QFT, and 32.6%, (95%CI: 23.7-41.5) using T-SPOT. Conclusion: There is high prevalence of LTBI among CKD patients mainly in patients on dialysis. Thus, early diagnosis and treatment of LTBI in CKD patients should be performed to prevent active TB in CKD patients.PROSPERO registration number: CRD42022372441.

Poor treatment outcome and associated risk factors among patients with isoniazid mono-resistant tuberculosis: A systematic review and meta-analysis.

BACKGROUND: To date, isoniazid mono-resistant tuberculosis (TB) is becoming an emerging global public health problem. It is associated with poor treatment outcome. Different studies have assessed the treatment outcome of isoniazid mono-resistant TB cases, however, the findings are inconsistent and there is limited global comprehensive report. Thus, this study aimed to assess the poor treatment outcome and its associated risk factors among patients with isoniazid mono-resistant TB. METHODS: Studies that reported the treatment outcomes and associated factors among isoniazid mono-resistant TB were searched from electronic databases and other sources. We used Joana Briggs Institute critical appraisal tool to assess the study's quality. We assessed publication bias through visual inspection of the funnel plot and confirmed by Egger's regression test. We used STATA version 17 for statistical analysis. RESULTS: Among 347 studies identified from the whole search, data were extracted from 25 studies reported from 47 countries. The pooled successful and poor treatment outcomes were 78% (95%CI; 74%-83%) and 22% (95%CI; 17%-26%), respectively. Specifically, complete, cure, treatment failure, mortality, loss to follow-up and relapse rates were 34%(95%CI; 17%-52%), 62% (95%CI; 50%-73%), 5% (95%CI; 3%-7%), 6% (95%CI; 4%-8%), 12% (95%CI; 8%-17%), and 1.7% (95%CI; 0.4%-3.1%), respectively. Higher prevalence of pooled poor treatment outcome was found in the South East Asian Region (estimate; 40%, 95%C; 34%-45%), and African Region (estimate; 33%, 95%CI; 24%-42%). Previous TB treatment (OR; 1.74, 95%CI; 1.15-2.33), having cancer (OR; 3.53, 95%CI; 1.43-5.62), and being initially smear positive (OR; 1.26, 95%CI; 1.08-1.43) were associated with poor treatment outcome. While those patients who took rifampicin in the continuation phase (OR; 0.22, 95%CI; 0.04-0.41), had extrapulmonary TB (OR; 0.70, 95%CI; 0.55-0.85), and took second-line injectable drugs (OR; 0.54, 95%CI; 0.33-0.75) had reduced risk of poor treatment outcome. CONCLUSION: Isoniazid mono-resistant TB patients had high poor treatment outcome. Thus, determination of isoniazid resistance pattern for all bacteriologically confirmed TB cases is critical for successful treatment outcome. PROSPERO registration number: CRD42022372367.

Incidence and predictors of acquired resistance to second-line antituberculosis drugs during the course of multi-drug resistant tuberculosis treatment: protocol for a systematic review and meta-analysis.

INTRODUCTION: To date, acquired resistance to second-line antituberculosis drugs (SLDs) during multi-drug resistant tuberculosis (MDR-TB) treatment is becoming a public health concern. Different studies have assessed the incidence of acquired resistance to SLDs. However, the findings are inconsistent and there is limited global evidence. Thus, we are going to assess the incidence and predictors of acquired resistance to SLDs during MDR-TB treatment. METHODS AND ANALYSIS: We designed this protocol following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Electronic databases and grey literature sources will be searched systematically for articles published up to 25 March 2023. Studies reporting the incidence and predictors of acquired resistance to SLDs in MDR-TB patients will be explored. The studies will be managed using Endnote X8 citation manager and a stepwise approach will be followed to select studies. Data will be summarised using Microsoft Excel 2016 spreadsheet. A Newcastle-Ottawa Scale quality assessment and cochrane risk-of-bias tools will be used to assess the study's quality. The authors will independently search databases, select studies, assess the study's quality and extract data. Data will be analysed using STATA V.17 software. We will estimate the pooled incidence of acquired resistance with 95% CI. In addition, the pooled effect measures (OR, HR, risk ratio) with their 95% CI will be estimated. Heterogeneity will be assessed using the I2 statistics. Publication bias will be assessed using funnel plot and Egger's test. A subgroup analysis will be conducted for the primary outcome (acquired resistance) per each study characteristics such as WHO regional category, country's TB/MDR-TB burden, data collection period and per the specific second-line anti-TB drug. ETHICS AND DISSEMINATION: Since this study will be based on data extraction from published studies, ethical approval is not mandatory. The study will be published in peer-reviewed scientific journals and the findings will be presented at different scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42022371014.

Tuberculosis in individuals who recovered from COVID-19: A systematic review of case reports.

BACKGROUND: The emergence of COVID-19 overwhelmed tuberculosis (TB) prevention and control, resulting in a decrease in TB detection rate and an increase in TB deaths. Furthermore, the temporary immunosuppressive effects, lung inflammation, and the corticosteroids used to treat COVID-19, may play a direct role in immunosuppression, leading to reactivation of either previous infection or latent TB or the development of new TB. Thus, the aim of this study was to review TB incidence in individuals who recovered from COVID-19. METHODS: We conducted a systematic search of available databases for previously published studies that reported TB in COVID-19 survivors. The PRISMA checklist was used to guide the review, and the JBI checklist was used to evaluate the study's quality. The descriptive data were summarized. RESULTS: Data were extracted from 21 studies conducted in 13 countries having 33 cases. The median age was 44 years (range; 13.5-80), and more than half (18, 54.5%) were males. Twelve patients immigrated from TB endemic settings. All 17 patients assessed for HIV were seronegative, and all 11 patients assessed for BCG vaccination status were vaccinated. The majority (20, 69%) of patients had some type of comorbidity with diabetes (12/29) and hypertension (9/29) being the most common. Four patients (30.77%) had a history of TB. Corticosteroids were used to treat COVID-19 in 62.5% (10) of individuals. Dexamethasone, remdesivir, azithromycin, hydroxychloroquine, and enoxaparin were the most commonly used drugs to treat COVID-19. The most common TB symptoms were fever, cough, weight loss, dyspnea, and fatigue. Twenty, eleven, and two patients developed pulmonary, extrapulmonary, and disseminated/miliary TB respectively. It may take up to seven months after COVID-19 recovery to develop tuberculosis. Data on the final treatment outcome was found for 24 patients, and five patients died during the anti-TB treatment period. CONCLUSION: Tuberculosis after recovering from COVID-19 is becoming more common, potentially leading to a TB outbreak in the post-COVID-19 era. The immunosuppressive nature of the disease and its treatment modalities may contribute to post COVID-19 TB. Thus, we recommend a further study with a large sample size. Furthermore, we recommend feasibility studies to assess and treat latent TB in COVID-19 patients residing in TB endemic counties since treatment of latent TB is done only in TB non-endemic countries.