Pub Date : 2024-09-04eCollection Date: 2024-01-01DOI: 10.1155/2024/2307742
Sarman Singh
{"title":"End Tuberculosis: Challenges and Opportunities.","authors":"Sarman Singh","doi":"10.1155/2024/2307742","DOIUrl":"https://doi.org/10.1155/2024/2307742","url":null,"abstract":"","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2024 ","pages":"2307742"},"PeriodicalIF":0.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11390216/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The World Health Organization (WHO) recommended isoniazid preventive therapy (IPT) to decrease the effects of tuberculosis (TB) on human immunodeficiency virus (HIV) patients. However, not enough research has been conducted to determine the impact of IPT on TB incidence and their predictors. Therefore, the goal of this study was to evaluate how IPT affects the incidence of TB and identify factors that are predictive of TB among HIV/AIDS patients. Methods: A total of 588 patients at Debre Tabor General Hospital (DTGH) who had taken IPT between December 2009 and January 2016 participated in the current study, which then followed them for 3 years and compared them to patients who did not receive IPT during the study period. The data were gathered from patient registries and charts. IPT users' and nonusers' TB-free survival curves were compared using log-rank testing. Predictors were identified using bivariate and multivariate Cox proportional hazards models. Results: In this study, 1656 person-years (PYs) follow-ups on 588 patients found 82 additional TB cases, with an overall incidence rate (IR) of 4.95/100 PY. When compared to individuals who were not on IPT, the TB IR among patients living with human immunodeficiency virus (PLHIV) on IPT was significantly lower (1.94/100 PY vs. 8.32/100 PY). A baseline CD4 cell count < 200 cells/uL, history of TB, Hgb level < 10 g/dL, BMI < 18.5 kg/m2, and not receiving IPT are independent predictors of TB among HIV/AIDS patients. Conclusion: The frequency of TB was high among PLHIV patients who did not receive IPT. It was discovered that a low CD4 cell count at baseline, a history of TB, IPT status, Hgb level, and BMI independently predicted the presence of TB. Therefore, addressing the independent predictors that are connected to a higher risk of TB in PLHIV as well as isoniazid (INH) prophylaxis has a significant impact on reducing the incidence of TB.
{"title":"Impact of Isoniazid Preventive Therapy on Tuberculosis Incidence and Predictors of Tuberculosis Among People Living With HIV/AIDS at Debre Tabor General Hospital, Northwest Ethiopia.","authors":"Kedir Nigussie, Ejigu Gebeye, Zemene Demelash Kifle, Tesfaye Yimer Tadesse, Mequanent Kassa Birarra","doi":"10.1155/2024/9741157","DOIUrl":"10.1155/2024/9741157","url":null,"abstract":"<p><p><b>Background:</b> The World Health Organization (WHO) recommended isoniazid preventive therapy (IPT) to decrease the effects of tuberculosis (TB) on human immunodeficiency virus (HIV) patients. However, not enough research has been conducted to determine the impact of IPT on TB incidence and their predictors. Therefore, the goal of this study was to evaluate how IPT affects the incidence of TB and identify factors that are predictive of TB among HIV/AIDS patients. <b>Methods:</b> A total of 588 patients at Debre Tabor General Hospital (DTGH) who had taken IPT between December 2009 and January 2016 participated in the current study, which then followed them for 3 years and compared them to patients who did not receive IPT during the study period. The data were gathered from patient registries and charts. IPT users' and nonusers' TB-free survival curves were compared using log-rank testing. Predictors were identified using bivariate and multivariate Cox proportional hazards models. <b>Results:</b> In this study, 1656 person-years (PYs) follow-ups on 588 patients found 82 additional TB cases, with an overall incidence rate (IR) of 4.95/100 PY. When compared to individuals who were not on IPT, the TB IR among patients living with human immunodeficiency virus (PLHIV) on IPT was significantly lower (1.94/100 PY vs. 8.32/100 PY). A baseline CD4 cell count < 200 cells/uL, history of TB, Hgb level < 10 g/dL, BMI < 18.5 kg/m<sup>2</sup>, and not receiving IPT are independent predictors of TB among HIV/AIDS patients. <b>Conclusion:</b> The frequency of TB was high among PLHIV patients who did not receive IPT. It was discovered that a low CD4 cell count at baseline, a history of TB, IPT status, Hgb level, and BMI independently predicted the presence of TB. Therefore, addressing the independent predictors that are connected to a higher risk of TB in PLHIV as well as isoniazid (INH) prophylaxis has a significant impact on reducing the incidence of TB.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2024 ","pages":"9741157"},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-23eCollection Date: 2023-01-01DOI: 10.1155/2023/6648137
Jane S Afriyie-Mensah, Robert Aryee, Francisca Zigah, Ernest Amaning-Kwarteng, Marie Nancy Séraphin
Aim: We aimed to investigate the demographic and clinical factors associated with TB mortality in patients managed at a tertiary TB referral center.
Methods: We conducted a retrospective review of the medical records of 1,933 TB patients seen between January 2017 and December 2020 at the Korle-Bu Teaching Hospital (KBTH) Chest Department in Accra, Ghana. TB mortality was defined as any TB patient who died for any reason during the course of treatment. Multivariable logistic regression was used to estimate adjusted odds ratios with 95% confidence intervals for factors associated with TB mortality.
Results: A total of 1,933 patients with TB were registered at the chest clinic over the study period. Males accounted for 1,227 (63.5%), and majority of participants were between 24 and 64 years old. Pulmonary TB (PTB) and extrapulmonary TB (EPTB) cases accounted for 51% and 48.4% of the total TB cases, respectively. A significant proportion (69%) of the patients managed for TB had no bacteriological confirmation of the disease. About 34% of tested TB patients were HIV positive. Mortality among patients was 33.6%. In a multivariable regression model, patients with HIV positive status had over 3-fold increased risk of mortality, compared to those with HIV negative status. TB patients diagnosed empirically had an increased risk of death compared to those with a confirmed diagnosis.
Conclusion: The proportion of clinically diagnosed TB was high among the patients seen at the chest clinic. Mortality was high among the patients with HIV/TB coinfection as well as in patients with empirical TB diagnosis.
{"title":"The Burden of Bacteriologically Negative TB Diagnosis: A Four-Year Review of Tuberculosis Cases at a Tertiary Facility.","authors":"Jane S Afriyie-Mensah, Robert Aryee, Francisca Zigah, Ernest Amaning-Kwarteng, Marie Nancy Séraphin","doi":"10.1155/2023/6648137","DOIUrl":"10.1155/2023/6648137","url":null,"abstract":"<p><strong>Aim: </strong>We aimed to investigate the demographic and clinical factors associated with TB mortality in patients managed at a tertiary TB referral center.</p><p><strong>Methods: </strong>We conducted a retrospective review of the medical records of 1,933 TB patients seen between January 2017 and December 2020 at the Korle-Bu Teaching Hospital (KBTH) Chest Department in Accra, Ghana. TB mortality was defined as any TB patient who died for any reason during the course of treatment. Multivariable logistic regression was used to estimate adjusted odds ratios with 95% confidence intervals for factors associated with TB mortality.</p><p><strong>Results: </strong>A total of 1,933 patients with TB were registered at the chest clinic over the study period. Males accounted for 1,227 (63.5%), and majority of participants were between 24 and 64 years old. Pulmonary TB (PTB) and extrapulmonary TB (EPTB) cases accounted for 51% and 48.4% of the total TB cases, respectively. A significant proportion (69%) of the patients managed for TB had no bacteriological confirmation of the disease. About 34% of tested TB patients were HIV positive. Mortality among patients was 33.6%. In a multivariable regression model, patients with HIV positive status had over 3-fold increased risk of mortality, compared to those with HIV negative status. TB patients diagnosed empirically had an increased risk of death compared to those with a confirmed diagnosis.</p><p><strong>Conclusion: </strong>The proportion of clinically diagnosed TB was high among the patients seen at the chest clinic. Mortality was high among the patients with HIV/TB coinfection as well as in patients with empirical TB diagnosis.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2023 ","pages":"6648137"},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10757658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139075224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31eCollection Date: 2023-01-01DOI: 10.1155/2023/2502314
Bahru Mantefardo, Gizaw Sisay, Ephrem Awlachew
Introduction: Tuberculosis (TB) was one of the top causes of ill health and the leading cause of deaths worldwide until the coronavirus (COVID-19) pandemic. Hence, this study is aimed at assessing the prevalence of sputum smear-positive TB and associated factors among TB-suspected patients attending in Gedeo Zone health facilities, Southern Ethiopia.
Methods: A facility-based cross-sectional study was conducted among 220 TB-suspected patients in Gedeo Zone health facilities from July 01 to Sep 30, 2021. Patients were grouped as smear positive if one sputum out of two was positive or two sputum smears became positive. Various descriptive statistics were computed using the SPSS-25, and factors to smear positivity were identified by multivariable logistic regression analysis. Odds ratio at 95% CI and p values < 0.05 were considered as indicators of statistical association.
Results: The overall prevalence of smear-positive TB in Gedeo Zone health facilities was 18.2%, which is significantly high, and the MTB detection rate of GeneXpert was 29.5%. Contact with a TB patient, cigarette smoking, and previously treatment for TB were factors significantly associated with smear-positive TB.
Conclusion: The prevalence rate of smear-positive PTB in the study area was 18.2% and 29.5% by direct sputum AFB and sputum GeneXpert, respectively. As a result, we recommend intervention on the identified associated risk factors and further studies to ascertain risk factors and their magnitude at the community level.
{"title":"Assessment of Smear-Positive Pulmonary Tuberculosis and Associated Factors among Patients Visiting Health Facilities of Gedeo Zone, Southern Ethiopia: A Cross-Sectional Study.","authors":"Bahru Mantefardo, Gizaw Sisay, Ephrem Awlachew","doi":"10.1155/2023/2502314","DOIUrl":"10.1155/2023/2502314","url":null,"abstract":"<p><strong>Introduction: </strong>Tuberculosis (TB) was one of the top causes of ill health and the leading cause of deaths worldwide until the coronavirus (COVID-19) pandemic. Hence, this study is aimed at assessing the prevalence of sputum smear-positive TB and associated factors among TB-suspected patients attending in Gedeo Zone health facilities, Southern Ethiopia.</p><p><strong>Methods: </strong>A facility-based cross-sectional study was conducted among 220 TB-suspected patients in Gedeo Zone health facilities from July 01 to Sep 30, 2021. Patients were grouped as smear positive if one sputum out of two was positive or two sputum smears became positive. Various descriptive statistics were computed using the SPSS-25, and factors to smear positivity were identified by multivariable logistic regression analysis. Odds ratio at 95% CI and <i>p</i> values < 0.05 were considered as indicators of statistical association.</p><p><strong>Results: </strong>The overall prevalence of smear-positive TB in Gedeo Zone health facilities was 18.2%, which is significantly high, and the MTB detection rate of GeneXpert was 29.5%. Contact with a TB patient, cigarette smoking, and previously treatment for TB were factors significantly associated with smear-positive TB.</p><p><strong>Conclusion: </strong>The prevalence rate of smear-positive PTB in the study area was 18.2% and 29.5% by direct sputum AFB and sputum GeneXpert, respectively. As a result, we recommend intervention on the identified associated risk factors and further studies to ascertain risk factors and their magnitude at the community level.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2023 ","pages":"2502314"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9336659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Drug-resistant tuberculosis (TB) epidemic in high-TB-incidence countries, particularly Ethiopia, remains a significant challenge. As a result, we investigated the drug resistance, common gene mutation, and molecular characterization of mycobacterial isolates from patients with suspected tuberculous lymphadenitis (TBLN). Methodology. A cross-sectional study of 218 FNA samples from TBLN patients inoculated on Lowenstein-Jensen media was carried out. The culture isolates were identified as MTB by polymerase chain reaction (PCR) and the difference-9 (RD9) test region. In addition, the GenoType MTBDRplus assay tested the first and second-line MTB drugs, and the spoligotyping strain-dependent polymorphism test was determined.
Results: Among the 50 culture-positive isolates, 14% (7/50) had drug resistance caused by a gene mutation. Out of these, 4 (8%) isolates were mono-resistant to isoniazid drug, which is caused by a gene mutation in katG in the region of interrogated at codon 315 in the amino acid sequence of S315T1, and 3 (6%) isolates were resistant to both rifampicin and isoniazid drugs. The mutation was observed for katG (at codon 315 with a change in the sequence of amino acid S315T) and rpoB (at codon 530-533 with a change in the sequence of amino acid S531L (S450L)) genes. The most prevalent spoligotypes were orphan and SIT53 strains.
Conclusion: The predominance of INH mono-resistance poses a critical risk for the potential development of MDR-TB, as INH mono-resistance is a typical pathway to the occurrence of MDR-TB. The orphan and SIT53 (T) strains were the most common in the study area, and a drug-resistant strain caused by a common gene mutation could indicate the transmission of clonal-resistant strains in the community.
{"title":"Drug Resistance in Tuberculous Lymphadenitis: Molecular Characterization.","authors":"Gebeyehu Assefa, Kassu Desta, Shambel Araya, Selfu Girma, Elena Hailu, Adane Mihret, Tsegaye Hailu, Melaku Tilahun, Getu Diriba, Biniyam Dagne, Abay Atnafu, Nigatu Endalafer, Adugna Abera, Shiferaw Bekele, Yordanos Mengistu, Kidist Bobosha, Abraham Aseffa","doi":"10.1155/2023/3291538","DOIUrl":"10.1155/2023/3291538","url":null,"abstract":"<p><strong>Background: </strong>Drug-resistant tuberculosis (TB) epidemic in high-TB-incidence countries, particularly Ethiopia, remains a significant challenge. As a result, we investigated the drug resistance, common gene mutation, and molecular characterization of mycobacterial isolates from patients with suspected tuberculous lymphadenitis (TBLN). <i>Methodology</i>. A cross-sectional study of 218 FNA samples from TBLN patients inoculated on Lowenstein-Jensen media was carried out. The culture isolates were identified as MTB by polymerase chain reaction (PCR) and the difference-9 (RD9) test region. In addition, the GenoType MTBDR<i>plus</i> assay tested the first and second-line MTB drugs, and the spoligotyping strain-dependent polymorphism test was determined.</p><p><strong>Results: </strong>Among the 50 culture-positive isolates, 14% (7/50) had drug resistance caused by a gene mutation. Out of these, 4 (8%) isolates were mono-resistant to isoniazid drug, which is caused by a gene mutation in <i>katG</i> in the region of interrogated at codon 315 in the amino acid sequence of S315T1, and 3 (6%) isolates were resistant to both rifampicin and isoniazid drugs. The mutation was observed for <i>katG</i> (at codon 315 with a change in the sequence of amino acid S315T) and <i>rpoB</i> (at codon 530-533 with a change in the sequence of amino acid S531L (S450L)) genes. The most prevalent spoligotypes were orphan and SIT53 strains.</p><p><strong>Conclusion: </strong>The predominance of INH mono-resistance poses a critical risk for the potential development of MDR-TB, as INH mono-resistance is a typical pathway to the occurrence of MDR-TB. The orphan and SIT53 (T) strains were the most common in the study area, and a drug-resistant strain caused by a common gene mutation could indicate the transmission of clonal-resistant strains in the community.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2023 ","pages":"3291538"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9629108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Prisoners in Sub-Saharan Africa (SSA) are at a high risk of tuberculosis (TB) infection due to overcrowding and poor ventilation. Consequently, TB is a leading cause of morbidity and mortality in prison, and many inmates face a number of barriers to TB control and had limited information in the region. Thus, the aim of this systematic review and meta-analysis was to estimate the overall pooled prevalence of pulmonary TB and predictors among prison inmates in SSA.
Methods: From 2006 to 2019, a systematic review and meta-analysis was conducted using various databases, including PubMed, Embase, Web of Science, and Scopus. The data were extracted in Microsoft Excel using a standardized data extraction format, and the analysis was carried out with STATA version 14. To detect heterogeneity across studies, the I2 and the Cochrane Q test statistics were computed. To determine the overall prevalence of TB and predictors among prison populations, a random effect meta-analysis model was used.
Results: Of the 3,479 retrieved articles, 37studies comprising 72,844 inmates met the inclusion criteria. The pooled prevalence of pulmonary TB among prison inmates in SSA was 7.74% (95% CI: 6.46-8.47). In the subgroup analysis, the highest prevalence was found in the Democratic Republic Congo (DRC) (19.72%) followed by Zambia (11.68%) and then Ethiopia (9.22%). TB/HIV coinfection (OR 4.99 (95% CI: 2.60-9.58)), Body mass index (BMI < 18.5) (OR 3.62 (95% CI: 2.65-6.49)), incarceration (OR 4.52 (95% CI: 2.31-5.68)), and previous TB exposure (OR 2.43 (95% CI: 1.61-3.56)) had higher odds of pulmonary TB among inmates.
Conclusion: The prevalence of pulmonary TB among SSA prison inmates was found to be high as compared to total population. TB/HIV coinfection, BMI, incarceration duration, and TB exposure were all predictors with pulmonary tuberculosis in prison inmates. As a result, emphasizing early screening for prisoners at risk of pulmonary TB is an important point to achieving global TB commitments in resource-limited settings.
{"title":"Prevalence and Predictors of Pulmonary Tuberculosis among Prison Inmates in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.","authors":"Habtamu Belew Mera, Fasil Wagnew, Yibeltal Akelew, Zigale Hibstu, Sileshi Berihun, Workineh Tamir, Simegn Alemu, Yonas Lamore, Bewket Mesganaw, Adane Adugna, Tefsa Birlew Tsegaye","doi":"10.1155/2023/6226200","DOIUrl":"https://doi.org/10.1155/2023/6226200","url":null,"abstract":"<p><strong>Introduction: </strong>Prisoners in Sub-Saharan Africa (SSA) are at a high risk of tuberculosis (TB) infection due to overcrowding and poor ventilation. Consequently, TB is a leading cause of morbidity and mortality in prison, and many inmates face a number of barriers to TB control and had limited information in the region. Thus, the aim of this systematic review and meta-analysis was to estimate the overall pooled prevalence of pulmonary TB and predictors among prison inmates in SSA.</p><p><strong>Methods: </strong>From 2006 to 2019, a systematic review and meta-analysis was conducted using various databases, including PubMed, Embase, Web of Science, and Scopus. The data were extracted in Microsoft Excel using a standardized data extraction format, and the analysis was carried out with STATA version 14. To detect heterogeneity across studies, the <i>I</i><sup>2</sup> and the Cochrane <i>Q</i> test statistics were computed. To determine the overall prevalence of TB and predictors among prison populations, a random effect meta-analysis model was used.</p><p><strong>Results: </strong>Of the 3,479 retrieved articles, 37studies comprising 72,844 inmates met the inclusion criteria. The pooled prevalence of pulmonary TB among prison inmates in SSA was 7.74% (95% CI: 6.46-8.47). In the subgroup analysis, the highest prevalence was found in the Democratic Republic Congo (DRC) (19.72%) followed by Zambia (11.68%) and then Ethiopia (9.22%). TB/HIV coinfection (OR 4.99 (95% CI: 2.60-9.58)), Body mass index (BMI < 18.5) (OR 3.62 (95% CI: 2.65-6.49)), incarceration (OR 4.52 (95% CI: 2.31-5.68)), and previous TB exposure (OR 2.43 (95% CI: 1.61-3.56)) had higher odds of pulmonary TB among inmates.</p><p><strong>Conclusion: </strong>The prevalence of pulmonary TB among SSA prison inmates was found to be high as compared to total population. TB/HIV coinfection, BMI, incarceration duration, and TB exposure were all predictors with pulmonary tuberculosis in prison inmates. As a result, emphasizing early screening for prisoners at risk of pulmonary TB is an important point to achieving global TB commitments in resource-limited settings.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2023 ","pages":"6226200"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9565427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomas Getahun, Hailemikael Debebe, Helen Getahun, Yonas Abebe, Kidist Assefa, Mizan Habtemichael
Introduction: Tuberculosis is a bacterial disease caused by the Mycobacterium tuberculosis. Regardless of many efforts made to control tuberculosis, the disease remains to be a major public health problem. Nonadherence to antituberculosis treatment poses a challenge to the disease treatment as it potentially increases the risk of drug resistance, mortality, relapse, and extended infectiousness. The North Shewa Zone had a poor performed on TB control status, so this study assessed the prevalence of antituberculosis drug nonadherence and its associated factors at governmental health institutions in Debre Berhan town, North Shewa Zone, Ethiopia, 2020.
Methods: An institution-based cross-sectional study design was employed. A total of 180 tuberculosis patients were included in the study. The data was entered using EpiData version 3.1 and exported to SPSS version 20.0 for statistical analysis. Bivariable and multivariable logistic regression analyses were computed to determine factor associated with antituberculosis drug nonadherence.
Result: Study finding shows that 26.0% respondents were nonadherent to their antituberculosis treatment. Respondents who were married were less likely to be nonadherent than who were single (AOR = 0.307; 95%CI = 0.120, 0.788). Respondents who have primary and secondary education were less likely to be nonadherent than those who had no formal education (AOR = 0.313; 95%CI = 0.100, 0.976). Respondents who experienced drug side effects were two times more likely to be nonadherent than those who did not experience drug side effects (AOR = 2.379; 95%CI = 1.008, 5.615). In addition, respondents who do not screen for HIV were four times more likely to be nonadherent than their counterparts (AOR = 4.620; 95%CI = 11.135, 18.802).
Conclusion: The antituberculosis drug nonadherence is high. Marital status, educational status, drug side effects, HIV screening status of the patients, and availability of medication were the variables that influence drug nonadherence. There is a need to strengthen awareness creation and improve quality of the TB treatment services and anti-TB drug availability.
{"title":"Antituberculosis Drug Nonadherence and Its Associated Factors: Evidence from Debre Berhan Town, North Shewa Zone, Ethiopia.","authors":"Tomas Getahun, Hailemikael Debebe, Helen Getahun, Yonas Abebe, Kidist Assefa, Mizan Habtemichael","doi":"10.1155/2023/7645058","DOIUrl":"https://doi.org/10.1155/2023/7645058","url":null,"abstract":"<p><strong>Introduction: </strong>Tuberculosis is a bacterial disease caused by the <i>Mycobacterium tuberculosis</i>. Regardless of many efforts made to control tuberculosis, the disease remains to be a major public health problem. Nonadherence to antituberculosis treatment poses a challenge to the disease treatment as it potentially increases the risk of drug resistance, mortality, relapse, and extended infectiousness. The North Shewa Zone had a poor performed on TB control status, so this study assessed the prevalence of antituberculosis drug nonadherence and its associated factors at governmental health institutions in Debre Berhan town, North Shewa Zone, Ethiopia, 2020.</p><p><strong>Methods: </strong>An institution-based cross-sectional study design was employed. A total of 180 tuberculosis patients were included in the study. The data was entered using EpiData version 3.1 and exported to SPSS version 20.0 for statistical analysis. Bivariable and multivariable logistic regression analyses were computed to determine factor associated with antituberculosis drug nonadherence.</p><p><strong>Result: </strong>Study finding shows that 26.0% respondents were nonadherent to their antituberculosis treatment. Respondents who were married were less likely to be nonadherent than who were single (AOR = 0.307; 95%CI = 0.120, 0.788). Respondents who have primary and secondary education were less likely to be nonadherent than those who had no formal education (AOR = 0.313; 95%CI = 0.100, 0.976). Respondents who experienced drug side effects were two times more likely to be nonadherent than those who did not experience drug side effects (AOR = 2.379; 95%CI = 1.008, 5.615). In addition, respondents who do not screen for HIV were four times more likely to be nonadherent than their counterparts (AOR = 4.620; 95%CI = 11.135, 18.802).</p><p><strong>Conclusion: </strong>The antituberculosis drug nonadherence is high. Marital status, educational status, drug side effects, HIV screening status of the patients, and availability of medication were the variables that influence drug nonadherence. There is a need to strengthen awareness creation and improve quality of the TB treatment services and anti-TB drug availability.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2023 ","pages":"7645058"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163963/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9442548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tuberculosis is still one of the most severe progressive diseases; it severely limits the social and economic development of many countries. In the present study, the topic trend of scientific publications on tuberculosis has been examined using text mining techniques and co-word analysis with an analytical approach. The statistical population of the study is all global publications related to tuberculosis. In order to extract the data, the Scopus citation database was used for the period 1900 to 2022. The main keywords for the search strategy were chosen through consultation with thematic specialists and using MESH. Python programming language and VOSviewer software were applied to analyze data. The results showed four main topics as follows: "Clinical symptoms" (41.8%), "Diagnosis and treatment" (28.1%), "Bacterial structure, pathogenicity and genetics" (22.3%), and "Prevention" (7.84%). The results of this study can be helpful in the decision of this organization and knowledge of the process of studies on tuberculosis and investment and development of programs and guidelines against this disease.
{"title":"Topic Analysis and Mapping of Tuberculosis Research Using Text Mining and Co-Word Analysis.","authors":"Meisam Dastani, Alireza Mohammadzadeh, Jalal Mardaneh, Reza Ahmadi","doi":"10.1155/2022/8039046","DOIUrl":"https://doi.org/10.1155/2022/8039046","url":null,"abstract":"<p><p>Tuberculosis is still one of the most severe progressive diseases; it severely limits the social and economic development of many countries. In the present study, the topic trend of scientific publications on tuberculosis has been examined using text mining techniques and co-word analysis with an analytical approach. The statistical population of the study is all global publications related to tuberculosis. In order to extract the data, the Scopus citation database was used for the period 1900 to 2022. The main keywords for the search strategy were chosen through consultation with thematic specialists and using MESH. Python programming language and VOSviewer software were applied to analyze data. The results showed four main topics as follows: \"Clinical symptoms\" (41.8%), \"Diagnosis and treatment\" (28.1%), \"Bacterial structure, pathogenicity and genetics\" (22.3%), and \"Prevention\" (7.84%). The results of this study can be helpful in the decision of this organization and knowledge of the process of studies on tuberculosis and investment and development of programs and guidelines against this disease.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":" ","pages":"8039046"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40712296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30eCollection Date: 2022-01-01DOI: 10.1155/2022/9947068
Ruth W Deya, Linnet N Masese, Walter Jaoko, Jeremiah Chakaya Muhwa, Lilian Mbugua, David J Horne, Susan M Graham
Background: Active case finding (ACF) for tuberculosis (TB) is a key strategy to reduce diagnostic delays, expedite treatment, and prevent transmission.
Objective: Our objective was to identify the populations, settings, screening and diagnostic approaches that optimize coverage (proportion of those targeted who were screened) and yield (proportion of those screened who had active TB) in ACF programs.
Methods: We performed a comprehensive search to identify studies published from 1980-2016 that reported the coverage and yield of different ACF approaches. For each outcome, we conducted meta-analyses of single proportions to produce estimates across studies, followed by meta-regression to identify predictors. Findings. Of 3,972 publications identified, 224 met criteria after full-text review. Most individuals who were targeted successfully completed screening, for a pooled coverage estimate of 93.5%. The pooled yield of active TB across studies was 3.2%. Settings with the highest yield were internally-displaced persons camps (15.6%) and healthcare facilities (6.9%). When compared to symptom screening as the reference standard, studies that screened individuals regardless of symptoms using microscopy, culture, or GeneXpert®MTB/RIF (Xpert) had 3.7% higher case yield. In particular, microbiological screening (usually microscopy) as the initial test, followed by culture or Xpert for diagnosis had 3.6% higher yield than symptom screening followed by microscopy for diagnosis. In a model adjusted for use of Xpert testing, approaches targeting persons living with HIV (PLWH) had a 4.9% higher yield than those targeting the general population. In all models, studies targeting children had higher yield (4.8%-5.7%) than those targeting adults.
Conclusion: ACF activities can be implemented successfully in various populations and settings. Screening yield was highest in internally-displaced person and healthcare settings, and among PLWH and children. In high-prevalence settings, ACF approaches that screen individuals with laboratory tests regardless of symptoms have higher yield than approaches focused on symptomatic individuals.
{"title":"Yield and Coverage of Active Case Finding Interventions for Tuberculosis Control:A Systematic Review and Meta-analysis.","authors":"Ruth W Deya, Linnet N Masese, Walter Jaoko, Jeremiah Chakaya Muhwa, Lilian Mbugua, David J Horne, Susan M Graham","doi":"10.1155/2022/9947068","DOIUrl":"https://doi.org/10.1155/2022/9947068","url":null,"abstract":"<p><strong>Background: </strong>Active case finding (ACF) for tuberculosis (TB) is a key strategy to reduce diagnostic delays, expedite treatment, and prevent transmission.</p><p><strong>Objective: </strong>Our objective was to identify the populations, settings, screening and diagnostic approaches that optimize coverage (proportion of those targeted who were screened) and yield (proportion of those screened who had active TB) in ACF programs.</p><p><strong>Methods: </strong>We performed a comprehensive search to identify studies published from 1980-2016 that reported the coverage and yield of different ACF approaches. For each outcome, we conducted meta-analyses of single proportions to produce estimates across studies, followed by meta-regression to identify predictors. <i>Findings.</i> Of 3,972 publications identified, 224 met criteria after full-text review. Most individuals who were targeted successfully completed screening, for a pooled coverage estimate of 93.5%. The pooled yield of active TB across studies was 3.2%. Settings with the highest yield were internally-displaced persons camps (15.6%) and healthcare facilities (6.9%). When compared to symptom screening as the reference standard, studies that screened individuals regardless of symptoms using microscopy, culture, or GeneXpert®MTB/RIF (Xpert) had 3.7% higher case yield. In particular, microbiological screening (usually microscopy) as the initial test, followed by culture or Xpert for diagnosis had 3.6% higher yield than symptom screening followed by microscopy for diagnosis. In a model adjusted for use of Xpert testing, approaches targeting persons living with HIV (PLWH) had a 4.9% higher yield than those targeting the general population. In all models, studies targeting children had higher yield (4.8%-5.7%) than those targeting adults.</p><p><strong>Conclusion: </strong>ACF activities can be implemented successfully in various populations and settings. Screening yield was highest in internally-displaced person and healthcare settings, and among PLWH and children. In high-prevalence settings, ACF approaches that screen individuals with laboratory tests regardless of symptoms have higher yield than approaches focused on symptomatic individuals.</p>","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":" ","pages":"9947068"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40618285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Meselu, Birhanu Barud Demelie, Tigist Adeb Shedie
Background Ethiopia is one of the highest tuberculosis burden countries globally, and tuberculosis is one of the most pressing health problems nationally. Weight gain during treatment is the main indicator of good treatment outcome, but there is no adequate information regarding the factors that affect weight gain in Ethiopia. Objective The objective of this study was to identify determinants of weight gain among adult tuberculosis patients during the intensive phase, in Debre Markos town public health institutions Northwest Ethiopia, 2020. Methods Unmatched case-control study was conducted in Debre Markos town public health facilities with a total sample size of 236. Cases (clients who got weight) and controls (clients who did not get weight) were enrolled in the study consecutively, and data were collected using standardized questionnaires. Data were entered through Epi-Data version 4.2 and exported to SPSS version 25 for analysis. Bivariable analysis was done, and all independent variables that had p < 0.25 were entered into multivariable binary logistic regression analysis. Finally, independent variables which were significantly associated with weight gain at p < 0.05 were considered determinant factors of weight gain. Result Pulmonary tuberculosis (AOR: 5 (95% CI: 2.3, 11.2)), monitoring by health professionals (AOR: 3.7 (1.6, 8.4)), ≥18.5 baseline body mass index (AOR: 3.4 (95% CI: 1.6, 7.3)), parasitic disease (AOR: 3.2 (95% CI: 1.3, 7.99)), <30 days duration of illness before start of treatment (AOR: 2.8 (95% CI: 1.2, 6.1)), and human immune virus/acquired immune deficiency syndrome (AOR: 3.3 (95% CI: 1.2, 9.1)) were independently associated with weight gain compared to their counterpart. Conclusion Type of tuberculosis, monitoring by health professionals, baseline status, parasitic disease, duration of illness before start of treatment, and human immune virus/acquired immune deficiency syndrome were with the determinants of weight gain. Therefore, early detection, support and supervision, and attention for comorbidity are mandatory during antituberculosis treatment.
{"title":"Determinants of Weight Gain among Adult Tuberculosis Patients during Intensive Phase in Debre Markos Town Public Health Facilities, Northwest Ethiopia, 2020: Unmatched Case-Control Study","authors":"B. Meselu, Birhanu Barud Demelie, Tigist Adeb Shedie","doi":"10.1155/2022/6325633","DOIUrl":"https://doi.org/10.1155/2022/6325633","url":null,"abstract":"Background Ethiopia is one of the highest tuberculosis burden countries globally, and tuberculosis is one of the most pressing health problems nationally. Weight gain during treatment is the main indicator of good treatment outcome, but there is no adequate information regarding the factors that affect weight gain in Ethiopia. Objective The objective of this study was to identify determinants of weight gain among adult tuberculosis patients during the intensive phase, in Debre Markos town public health institutions Northwest Ethiopia, 2020. Methods Unmatched case-control study was conducted in Debre Markos town public health facilities with a total sample size of 236. Cases (clients who got weight) and controls (clients who did not get weight) were enrolled in the study consecutively, and data were collected using standardized questionnaires. Data were entered through Epi-Data version 4.2 and exported to SPSS version 25 for analysis. Bivariable analysis was done, and all independent variables that had p < 0.25 were entered into multivariable binary logistic regression analysis. Finally, independent variables which were significantly associated with weight gain at p < 0.05 were considered determinant factors of weight gain. Result Pulmonary tuberculosis (AOR: 5 (95% CI: 2.3, 11.2)), monitoring by health professionals (AOR: 3.7 (1.6, 8.4)), ≥18.5 baseline body mass index (AOR: 3.4 (95% CI: 1.6, 7.3)), parasitic disease (AOR: 3.2 (95% CI: 1.3, 7.99)), <30 days duration of illness before start of treatment (AOR: 2.8 (95% CI: 1.2, 6.1)), and human immune virus/acquired immune deficiency syndrome (AOR: 3.3 (95% CI: 1.2, 9.1)) were independently associated with weight gain compared to their counterpart. Conclusion Type of tuberculosis, monitoring by health professionals, baseline status, parasitic disease, duration of illness before start of treatment, and human immune virus/acquired immune deficiency syndrome were with the determinants of weight gain. Therefore, early detection, support and supervision, and attention for comorbidity are mandatory during antituberculosis treatment.","PeriodicalId":30261,"journal":{"name":"Tuberculosis Research and Treatment","volume":"2022 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48888279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}