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Peinado J, Lecca L, Jiménez J, Calderón R, Yataco R, Becerra M, Murray M. Association between overweight/obesity and multidrug-resistant tuberculosis. Rev Peru Med Exp Salud Publica 2023; 40:59-66. [PMID: 37377237 PMCID: PMC10953666 DOI: 10.17843/rpmesp.2023.401.12138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 03/22/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVE. To evaluate the association between overweight/obesity and multidrug resistance in patients with and without a history of tuberculosis treatment. MATERIALS AND METHODS. Cross-sectional study of secondary data from a tuberculosis cohort, which included anthropometric and drug-sensitivity testing data at the baseline visit of patients with and without previous tuberculosis treatment. RESULTS. We evaluated 3,734 new cases and 766 with a history of having received treatment for tuberculosis. Overweight/obesity was not associated with multidrug resistance in patients with a history of tuberculosis treatment, with a prevalence ratio of 0.97 and a 95% confidence interval of 0.68-1.38. CONCLUSIONS. Overweight/obesity is not associated with multidrug resistance in tuberculosis. Overweight/obesity is a dynamic process that may influence the relationship between the immune system and the metabolic system.
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Affiliation(s)
- Jesus Peinado
- 1 Socios en Salud Sucursal Perú, Lima, Perú
- Escuela de Medicina, Facultad de Ciencias de la Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Perú
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Risk factors for multidrug-resistant tuberculosis: A worldwide systematic review and meta-analysis. PLoS One 2022; 17:e0270003. [PMID: 35709161 PMCID: PMC9202901 DOI: 10.1371/journal.pone.0270003] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 06/01/2022] [Indexed: 12/20/2022] Open
Abstract
Background Since multidrug-resistant tuberculosis (MDR-TB) is a significant public health problem worldwide, identifying associated risk factors is critical for developing appropriate control strategies. Methods A systematic review and meta-analysis was conducted for identifying factors independently predicting MDR-TB. The random-effects model was used to determine pooled odds ratios (ORs) and respective 95% confidence intervals (CIs) for the related factors. Results Of the 2301 retrieved reports, 28 studies were analyzed, assessing 3152 MDR-TB and 52715 DS-TB cases. Totally 22 related factors were analyzed. The pooled ORs were 1.478 (95%CI 1.077–2.028) for positive sputum AFB smear, 1.716 (95%CI 1.149–2.564) for lung cavity, 6.078 (95%CI 2.903–12.725) for previous TB disease and 5.427 (95%CI 3.469–8.490) for a history of anti-TB therapy. All Z test p values were below 0.05, indicating these parameters were significantly associated with MDR-TB. Conclusions Positive sputum AFB smear, lung cavity, previously diagnosed TB and a history of anti-TB therapy are significant risk factors for MDR-TB, which are independent of the clinical setting worldwide. Increased attention should be paid to cases with such parameters to achieve more effective TB control and avoid MDR-TB through the development of a global policy.
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Bhering M, Kritski A. Trends in primary multidrug-resistant tuberculosis in the State of Rio de Janeiro: a retrospective study conducted during 2000-2019. Rev Soc Bras Med Trop 2021; 54:e00862021. [PMID: 34431941 PMCID: PMC8405210 DOI: 10.1590/0037-8682-0086-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 07/08/2021] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION We analyzed the trends in primary multidrug-resistant tuberculosis (MDR-TB). METHODS We performed a time series analysis of primary MDR-TB cases reported in the State of Rio de Janeiro (RJ) during 2000-2019. The annual percent change and the average annual percentage change (AAPC) were computed using joinpoint regression analysis. RESULTS The percentage of cases increased from 7.69% in 2000 to 38.42% in 2018. We observed an upward trend during this period (AAPC = 9.4; 95% confidence interval 1.4-18.0, p < 0.001). CONCLUSIONS The trend indicates the increasing occurrence of MDR-TB transmission sources in RJ during 2000-2019.
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Affiliation(s)
- Marcela Bhering
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina, Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Rio de Janeiro, RJ, Brasil
| | - Afrânio Kritski
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina, Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
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Kassa GM, Merid MW, Muluneh AG. Khat Chewing and Clinical Conditions Determine the Epidemiology of Primary Drug Resistance Tuberculosis in Amhara Region of Ethiopia: A Multicenter Study. Infect Drug Resist 2021; 14:2449-2460. [PMID: 34234475 PMCID: PMC8255900 DOI: 10.2147/idr.s316268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/18/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Rifampicin and/or multidrug-resistant tuberculosis (RR/MDR-TB) remains an uncontrolled public health emergency that has been synergized by the recently increased person-to-person transmission in the community as primary RR/MDR-TB, which is defined as RR/MDR-TB in new TB patients with no prior exposure to anti-TB treatment for more than one month. This study aimed to measure the prevalence and associated factors of primary drug-resistance among drug-resistant tuberculosis patients, as evidenced by the Amhara region treatment initiating centers. METHODS An institutional-based multicenter cross-sectional study was conducted from September 2010 to December 2017, among 580 RR/MDR-TB patients on the second-line anti-TB drug in the Amhara regional state. Data were collected from patient charts and registration books using a standardized data abstraction sheet. The data were entered using Epi-data 4.2.0.0 and transferred to Stata 14 software for further data management and analysis. A bivariable and multivariable binary logistic model was run subsequently, and finally, a p-value of less than 0.05 with a 95% confidence interval (CI) was used to declare the significance of the explanatory variable. RESULTS The magnitude of primary drug resistance among drug-resistant tuberculosis patients was 15.69% (95% CI: 12.94, 18.89). Alcohol drinking (adjusted odds ratio [AOR] = 0.31, 95% CI: 0.12-0.82), khat chewing (AOR = 4.43; 95% CI: 1.67-11.76), ambulatory and bedridden functional status (AOR = 0.43; 95% CI: 0.24-0.76) and (AOR = 0.41; 95% CI: 0.19-0.91), respectively, positive sputum smear result (AOR = 0.48; 95% CI: 0.26-0.90), and HIV coinfection (AOR= 2.31; 95% CI: 1.31-4.06) remained statistically significant associated factors of primary RR/MDR-TB. CONCLUSION Primary drug resistance is a public health problem in the study setting. Different behavioral and clinical conditions were significant factors of primary drug-resistant development. Mitigation strategies targeted on the patient's clinical condition, substance-related behaviors, and universal DST coverage might be very important for early detection and treatment of RR/MDR-TB to prevent community-level transmission.
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Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
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Bhering M, Kritski A. Primary and acquired multidrug-resistant tuberculosis: Predictive factors for unfavorable treatment outcomes in Rio de Janeiro, 2000-2016. Rev Panam Salud Publica 2021; 44:e178. [PMID: 33417644 PMCID: PMC7778465 DOI: 10.26633/rpsp.2020.178] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/22/2020] [Indexed: 11/25/2022] Open
Abstract
Objective To identify clinical and demographic factors associated with unfavorable treatment outcomes in patients with primary and acquired multidrug-resistant tuberculosis (MDR-TB) in Rio de Janeiro State. Methods Retrospective cohort study using data on 2 269 MDR-TB cases in 2000–2016. Factors associated with unsuccessful, loss to follow-up, and death outcomes in patients with primary and acquired resistance were investigated with bivariate and multivariate regression. Results Primary resistance was 14.7% among MDR-TB cases. The unfavorable outcomes proportion was 30.3% in the primary resistance group and 46.7% in the acquired resistance group. There were significant differences in demographic and clinical characteristics between the two groups. Proportionally, the group with primary resistance had more cases among women (46.4% vs. 33.5% in the acquired resistance group), Caucasians (47.3% and 34%), and those with ≥8 years of schooling (37.7% and 27.4%). Extensively drug-resistant TB patients had 12.2-fold higher odds of unsuccessful outcome than MDR-TB patients, and comorbidities had 2-fold higher odds in the primary resistance group. Extensively drug-resistant TB had 5.43-fold higher odds in the acquired MDR-TB group. Bilateral disease and <8 years of schooling were associated with unsuccessful outcome in both groups. Being an inmate had 8-fold higher odds of loss to follow-up in the primary resistance group. Culture conversion by the sixth month was a protective factor for all outcomes. Conclusions Primary resistance cases of MDR-TB constitute a different transmission reservoir, which is related to other chronic diseases associated with higher acquisition of TB. The poor results observed in Rio de Janeiro State can contribute to increasing the transmission of primary MDR-TB, thus favoring drug resistance.
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Affiliation(s)
- Marcela Bhering
- Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation Rio de Janeiro Brazil Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Afrânio Kritski
- Federal University of Rio de Janeiro Rio de Janeiro Brazil Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Tenzin C, Chansatitporn N, Dendup T, Dorji T, Lhazeen K, Tshering D, Pelzang T. Factors associated with multidrug-resistant tuberculosis (MDR-TB) in Bhutan: A nationwide case-control study. PLoS One 2020; 15:e0236250. [PMID: 32716965 PMCID: PMC7384628 DOI: 10.1371/journal.pone.0236250] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 07/01/2020] [Indexed: 12/02/2022] Open
Abstract
Background Multidrug-resistant tuberculosis (MDR-TB) is a growing public health concern globally. In Bhutan, the rates of MDR-TB are high. Data on the risk factors of MDR-TB that can help inform policies are limited in Bhutan. This study aimed to determine the risk factors associated with MDR-TB. Methods A nationwide unmatched case-control study was conducted that included 79 MDR-TB cases and 118 controls. Data was collected by trained health workers through interviews using a structured questionnaire. Logistic regression analysis was performed to identify the risk factors associated with MDR-TB. Results The mean age of the participants was 32.4 and 33.7 years among the cases and the controls, respectively. In the multivariate analysis, the odds of having MDR-TB was higher among those who slept for less than 9 hours a day (AOR: 2.77, 95%CI: 1.11–6.92), frequently travelled in public transport (AOR: 2.96, 95% CI: 1.36–6.48), and had previous TB treatment (AOR: 5.90, 95%CI: 2.55–13.64). A greater number of rooms was also marginally associated with odds of having MDR-TB. Conclusions The findings suggest previous TB treatment, inadequate sleep duration, and travelling by public transport to be the risk factors associated with having MDR-TB in Bhutan. Intensification of early case detection, strengthening directly observed treatment strategy, improving treatment adherence, and increasing awareness can help control the rising MDR-TB epidemic.
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Affiliation(s)
- Chador Tenzin
- Bumthang General Hospital, Ministry of Health, Royal Government of Bhutan, Bumthang, Bhutan
- Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand
- * E-mail:
| | - Natkamol Chansatitporn
- Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Tashi Dendup
- School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, Australia
| | - Tandin Dorji
- Department of Medical Services, Ministry of Health, Royal Government of Bhutan, Kawangjangsa, Thimphu, Bhutan
| | - Karma Lhazeen
- Department of Public Health, Ministry of Health, Royal Government of Bhutan, Kawangjangsa, Thimphu, Bhutan
| | - Dorji Tshering
- Central Regional Referral Hospital, Ministry of Health, Royal Government of Bhutan, Gelephu, Bhutan
| | - Thinley Pelzang
- Phuentsholing General Hospital, Ministry of Health, Royal Government of Bhutan, Phuentsholing, Bhutan
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Song WM, Li YF, Ma XB, Liu JY, Tao NN, Liu Y, Zhang QY, Xu TT, Li SJ, Yu CB, Gao L, Cui LL, Li HC. Primary drug resistance of mycobacterium tuberculosis in Shandong, China, 2004-2018. Respir Res 2019; 20:223. [PMID: 31627757 PMCID: PMC6798379 DOI: 10.1186/s12931-019-1199-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/25/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Primary drug-resistant tuberculosis (DR-TB) has contributed to a significant health and economic burden on a global scale, especially in China. we sought to estimate epidemiological characteristics of primary DR-TB in China from 2004 to 2018. METHODS Eleven thousand four hundred sixty-seven newly diagnosed and 1981 retreated TB cases with drug susceptibility data were included. Chi-Square test for trends, linear regression, a joinpoint regression model and temporal trend in proportions of the different resistance patterns were carried out. RESULTS The proportion of primary DR-TB and mono-resistant TB (MR-TB) in China had reduced by more than 12% since 2004, and were 21.38%, 13.35% in 2018 respectively. Among primary DR-TB cases (2173,18.95%), the percentage of multiresistant TB (MDR-TB, from 5.41 to 17.46%), male (from 77.03 to 84.13%), cavity (from 13.51 to 43.92%), rifampicin(RFP)-resistant TB (from 8.11 to 26.98%), streptomycin(SM)-resistant TB (from 50.00 to 71.43%) increased significantly (P < 0.05). On the contrary, the proportion of female, non-cavity, isoniazide(INH)-resistant TB (from 55.41 to 48.15%) and MR-TB (from 82.43 to 62.43%) decreased significant (P < 0.05). The primary drug resistance rate among female, cavity, smoking, drinking, 15 to 44 year-old TB subgroups increased by 0.16, 6.24, 20.95, 158.85, 31.49%, respectively. The percentage of primary DR-TB, RFP-resistant TB dropped significantly during 2004-2007 in Joinpoint regression model. CONCLUSION The total rate of drug resistance among new TB cases showed a downward trend in Shandong, China, from 2004 to 2018. Primary drug resistance patterns were shifting from female, non-cavity, INH-resistant TB, and MR-TB groups to male, cavity, RFP/SM-resistant TB, and MDR-TB groups. Considering the rising drug resistance rate among some special population, future control of primary DR-TB in China may require an increased focus on female, cavity, smoking, drinking, or 15 to 44 year-old TB subgroups.
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Affiliation(s)
- Wan-Mei Song
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yi-Fan Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Xiao-Bin Ma
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Jin-Yue Liu
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, 250200, Shandong, China
| | - Ning-Ning Tao
- Peking Union Medical College, Beijing, 100005, China
| | - Yao Liu
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Qian-Yun Zhang
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ting-Ting Xu
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Shi-Jin Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Chun-Bao Yu
- Department of Respiratory Medicine, Shandong Provincial Chest Hospital, Jinan, 250013, Shandong, China
| | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Liang-Liang Cui
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, 250012, Shandong, China.,Jinan Municipal Center for Disease Control and Prevention, Jinan, 250021, Shandong, China
| | - Huai-Chen Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China. .,Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
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Feng M, Xu Y, Zhang X, Qiu Q, Lei S, Li J, Yuan W, Song Q, Xu J. Risk factors of multidrug-resistant tuberculosis in China: A meta-analysis. Public Health Nurs 2019; 36:257-269. [PMID: 30680796 DOI: 10.1111/phn.12582] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 12/06/2018] [Accepted: 12/14/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Multidrug-resistant tuberculosis (MDR-TB) brings major challenges to the health care workers (HCWs). This study is to determine the risk factors for MDR-TB, latent tuberculosis infection (LTBI), and tuberculosis (TB) disease among HCWs in China. METHODS A meta-analysis was conducted to evaluate the risk factors for MDR-TB, LTBI, and TB disease among HCWs using a random-effects model, and the pooled odds ratios (ORs) with 95% confidence interval (CI) were used as effect indicators. RESULTS We identified 46 eligible studies and found eight factors were associated with MDR. The ORs with 95% CI are migrant population 1.96 (95% CI, 1.50-2.57), low family income 2.23 (95% CI, 1.74-2.85), retreatment 7.22 (95% CI, 5.63-9.26), anti-TB treatment history 5.65 (95% CI, 4.80-6.65), multiple episodes of treatment 3.28 (95% CI, 2.60-4.13), adverse reactions 3.48 (95% CI, 2.54-4.76), interrupted treatment 3.18 (95% CI, 2.60-3.89), and lung cavities 1.42 (95% CI, 1.14-1.77). Work duration as a HCW for 5 years and above increased the risk of LTBI and TB. HCWs aged 30 years and above were more susceptible to TB (OR = 1.70, 95% CI: 1.37-2.09). CONCLUSION The risk factors for MDR-TB in China are possibly migrant population, low family income, retreatment, anti-TB treatment history, adverse reactions, interrupted treatment, and lung cavities. Longer work duration and greater age are risk factors for LTBI and TB among HCWs.
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Affiliation(s)
- Mei Feng
- Department of Hyperbaric Oxygen, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China
| | - YuanGao Xu
- Department of Urology, People's Hospital Affiliated to Guizhou Medical University, Guiyang, China
| | - XiangYan Zhang
- Department of Respiratory and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China
| | - Qian Qiu
- Department of Internal Medicine, Chongqing Public Health Center, Chongqing, China
| | - ShiGuang Lei
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China
| | - JinLan Li
- Guizhou Provincial Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Guiyang, Guizhou Province, China
| | - Wei Yuan
- Guizhou Provincial Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Guiyang, Guizhou Province, China
| | - QunFeng Song
- Guizhou Provincial Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Guiyang, Guizhou Province, China
| | - JinHong Xu
- Guizhou Provincial Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Guiyang, Guizhou Province, China
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Higuita-Gutiérrez LF, Arango-Franco CA, Cardona-Arias JA. Causal association of antibiotic use and resistant tuberculosis infection: Casecontrol meta-analysis. Rev Esp Salud Publica 2018; 92:e201809067. [PMID: 30181530 PMCID: PMC11587281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 08/27/2018] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND In the world scientific literature, analytical research on tuberculosis has not been meta-analyzed. The objective of this study was to identify risk factors for tuberculosis infection with drug resistance and meta-analyze the causal relationship of prior antibiotic use. METHODS Systematic review with meta-analysis of case-control studies, in five databases. An ex ante, exhaustive and reproducible protocol of search and selection was applied; with criteria of inclusion, exclusion and evaluation of methodological quality. Were performed a qualitative and quantitative synthesis of the articles that evaluated the previous consumption of antibiotics. The PRISMA guide applied and a meta-analysis of random effects was performed for the odds ratios, with analysis of Galbraith, Funelt Plot, Forest plot and sensitivity analysis. RESULTS We included 36 articles for the qualitative synthesis and 16 in the meta-analysis. We found a wide heterogeneity in the risk factors that include sociodemographic characteristics such as age, sex, schooling, occupation and prison; Clinics as contact with infected, absence of BCG vaccine, hospitalization, chronic comorbidities, malnutrition, HIV coinfection; And microbiological variables such as infection by Beijing genotype and therapeutic adherence. In the studies that evaluated previous consumption of antibiotic, 1880 cases and 5291 controls were studied, most with moderate or low methodological quality, with a combined measure that shows that the odds of developing resistance in patients with previous antibiotic use are 12 (95% = 6.0-23.7) times found for the non-exposed, in the meta-regression the odds were 16.6 (95% CI = 4.1-67.8) for the moderate quality studies and 5.0 (95% CI = 2.9, 8.7) for those with high methodological quality. CONCLUSIONS This meta-analysis revealed a strong causal association between the prior use of anti-tuberculosis antibiotics and drug-resistant Micobacterium tuberculosis infection.
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Affiliation(s)
- Luis Felipe Higuita-Gutiérrez
- Escuela de Microbiología. Universidad de Antioquia UdeA. Facultad de Medicina. Universidad Cooperativa de Colombia. Medellín. Colombia
| | | | - Jaiberth Antonio Cardona-Arias
- Escuela de Microbiología. Universidad de Antioquia UdeA. Facultad de Medicina. Universidad Cooperativa de Colombia. Medellín. Colombia
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Tan D, Wang B, Li X, Cai X, Zhang D, Li M, Tang C, Yan Y, Yu S, Chu Q, Xu Y. Identification of Risk Factors of Multidrug-Resistant Tuberculosis by using Classification Tree Method. Am J Trop Med Hyg 2017; 97:1720-1725. [PMID: 29016283 DOI: 10.4269/ajtmh.17-0029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Multidrug-resistant tuberculosis (MDR-TB) has become a major public health problem. We tried to apply the classification tree model in building and evaluating a risk prediction model for MDR-TB. In this case-control study, 74 newly diagnosed MDR-TB patients served as the case group, and 95 patients without TB from the same medical institution served as the control group. The classification tree model was built using Chi-square Automatic Interaction Detectormethod and evaluated by income diagram, index map, risk statistic, and the area under receiver operating characteristic (ROC) curve. Four explanatory variables (history of exposure to TB patients, family with financial difficulties, history of other chronic respiratory diseases, and history of smoking) were included in the prediction model. The risk statistic of misclassification probability of the model was 0.160, and the area under ROC curve was 0.838 (P < 0.01). These suggest that the classification tree model works well for predicting MDR-TB. Classification tree model can not only predict the risk of MDR-TB effectively but also can reveal the interactions among variables.
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Affiliation(s)
- Dixin Tan
- The Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuhui Li
- The Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaonan Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dandan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mengyu Li
- The Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Cong Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control and Prevention, Wuhan, Hubei, China
| | - Songlin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Chu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yihua Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,The Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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11
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GUO C, DU Y, SHEN SQ, LAO XQ, QIAN J, OU CQ. Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China. Epidemiol Infect 2017; 145:2510-2519. [PMID: 28595668 PMCID: PMC9148796 DOI: 10.1017/s0950268817001133] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 05/09/2017] [Accepted: 05/09/2017] [Indexed: 11/06/2022] Open
Abstract
Spatiotemporal analysis is an important tool to monitor changes of tuberculosis (TB) epidemiology, identify high-risk regions and guide resource allocation. However, there are limited data on the contributing factors of TB incidence. This study aimed to investigate the spatiotemporal pattern of TB incidence and its associated factors in mainland China during 2005-2013. Global Moran's I test, Getis-Ord Gi index and heat maps were used to examine the spatial clustering and seasonal patterns. Generalized Linear Mixed Model was applied to identify factors associated with TB incidence. TB incidence presented high geographical variations with two main hot spots, while a generally consistent seasonal pattern was observed with a peak in late winter. Furthermore, we found province-level TB incidence increased with the proportion of the elderly but decreased with Gross Demographic Product per capita and the male:female ratio. Meteorological factors also influenced TB incidence. TB showed obvious spatial clustering in mainland China and both the demographic and socio-economic factors and meteorological measures were associated with TB incidence. These results provide the related information to identify the high-risk districts and the evidence for the government to develop corresponding control measures.
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Affiliation(s)
- C. GUO
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - Y. DU
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - S. Q. SHEN
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - X. Q. LAO
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - J. QIAN
- Department of Mathematics and Physics, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - C. Q. OU
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
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