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Rupani MP, Soundararajan S. Survival analysis shows tuberculosis patients with silicosis experience earlier mortality and need employer-led care models in occupational settings in India. Sci Rep 2024; 14:28891. [PMID: 39572724 PMCID: PMC11582735 DOI: 10.1038/s41598-024-80367-5] [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: 06/28/2024] [Accepted: 11/18/2024] [Indexed: 11/24/2024] Open
Abstract
India's high tuberculosis (TB) burden is exacerbated by concurrent silicosis, which increases TB susceptibility and worsens treatment outcomes. Limited studies on TB patients with silicosis highlight the need to address this vulnerable group's specific challenges, particularly to improve diagnosis and management. This retrospective cohort study analyzed survival data from 137 silico-tuberculosis and 2,605 TB-only patients in Khambhat, India, using Kaplan-Meier curves, log-rank tests, and comparisons between Cox proportional hazards and accelerated failure time (AFT) models. The lognormal AFT model, selected for its lowest Akaike Information Criterion (AIC), estimated survival times based on age, gender, HIV status, and prior TB treatment. Among the 2,742 patients, 309 (11%) died within 27 months. Median time from diagnosis to outcome was shorter for deceased patients (1.7 months) than for censored patients (5.6 months, p < 0.001, median test). Kaplan-Meier analysis showed a significantly steeper survival decline for silico-tuberculosis patients (p < 0.001, log-rank test). Silico-tuberculosis was associated with a two-fold increased mortality risk (HR = 2.0, 95% CI: 1.4-3.0, p < 0.001, Cox-proportional hazards regression). The lognormal AFT model indicated silico-tuberculosis patients had 36% of the median survival time compared to TB-only patients (16 vs. 44 months). These findings highlight significantly earlier mortality in silico-tuberculosis patients, underscoring the need for targeted, employer-led care models and TB-silicosis collaborative screening within India's TB program for high-risk occupational groups.
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Affiliation(s)
- Mihir P Rupani
- Clinical Epidemiology (Division of Health Sciences), ICMR - National Institute of Occupational Health (NIOH), Indian Council of Medical Research (ICMR), Meghaninagar, Ahmedabad, 380016, Gujarat, India.
| | - Soundarya Soundararajan
- Clinical Epidemiology (Division of Health Sciences), ICMR - National Institute of Occupational Health (NIOH), Indian Council of Medical Research (ICMR), Meghaninagar, Ahmedabad, 380016, Gujarat, India.
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Smitha T, Sunitha P, Prabhakar O, Vasudeva Murthy S. Survival Probability in Multidrug Resistant Pulmonary Tuberculosis Patients in a South Indian Region. Hosp Pharm 2024; 59:427-435. [PMID: 38919760 PMCID: PMC11195841 DOI: 10.1177/00185787231224065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Background: Drug-resistant tuberculosis is a burgeoning threat to public health requiring novel strategies to combat the infection. Although national tuberculosis elimination programs focus on improving health services, challenges in eradicating tuberculosis still exist. Factors attributing to unfavorable outcomes are unknown in Warangal district of Telangana state. Methods: This study included 296 patients diagnosed with multidrug-resistant pulmonary tuberculosis. The study participants followed up for a maximum of 20 months to determine treatment outcomes. Statistical applications of Kaplan-Meier curve and log-rank test used to find the survival probabilities in subgroups. Results: The survival of multidrug-resistant pulmonary tuberculosis patients was ascertained, in male and female patients, aged between 31 and 50 years. Resistance to rifampicin was prominent. The study found a survival rate of 76.68% and a mortality rate of 23.31%. The log-rank test revealed a significant difference in survival in subcategories with and without comorbidities (P = .03), non-adherence to treatment (P = .0001), treatment duration (P = .02), regimens (P = .01), and grading of radiograph (P = .0001). Conclusion: This study identified factors that influenced the survival probability of multidrug-resistant pulmonary tuberculosis patients, including comorbidities, weight band, non-adherence to treatment, treatment duration, regimens, and grading of radiograph. These findings emphasize the need for enhanced management strategies to improve treatment outcomes.
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Affiliation(s)
- Thungathurthi Smitha
- Department of Pharmacy Practice, Jayamukhi College of Pharmacy, Narsampet, Warangal Rural, Telangana, India
| | - Pantham Sunitha
- Department of Pulmonary Medicine, Kakatiya Medical College, Warangal Urban, Telangana, India
| | - Orsu Prabhakar
- GITAM School of Pharmacy, GITAM Univeristy, Vishakapatnam, Andhra Pradesh
| | - Sindgi Vasudeva Murthy
- Department of Pharmacy Practice, Jayamukhi College of Pharmacy, Narsampet, Warangal Rural, Telangana, India
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Otchere ID, Asante-Poku A, Akpadja KF, Diallo AB, Sanou A, Asare P, Osei-Wusu S, Onyejepu N, Diarra B, Dagnra YA, Kehinde A, Antonio M, Yeboah-Manu D. Opinion review of drug resistant tuberculosis in West Africa: tackling the challenges for effective control. Front Public Health 2024; 12:1374703. [PMID: 38827613 PMCID: PMC11141065 DOI: 10.3389/fpubh.2024.1374703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/29/2024] [Indexed: 06/04/2024] Open
Abstract
Drug-resistant (DR) tuberculosis (TB) is a major public health concern globally, complicating TB control and management efforts. West Africa has historically faced difficulty in combating DR-TB due to limited diagnostic skills, insufficient access to excellent healthcare, and ineffective healthcare systems. This has aided in the emergence and dissemination of DR Mycobacterium tuberculosis complex (MTBC) strains in the region. In the past, DR-TB patients faced insufficient resources, fragmented efforts, and suboptimal treatment outcomes. However, current efforts to combat DR-TB in the region are promising. These efforts include strengthening diagnostic capacities, improving access to quality healthcare services, and implementing evidence-based treatment regimens for DR-TB. Additionally, many West African National TB control programs are collaborating with international partners to scale up laboratory infrastructure, enhance surveillance systems, and promote infection control measures. Moreso, novel TB drugs and regimens, such as bedaquiline and delamanid, are being introduced to improve treatment outcomes for DR-TB cases. Despite these obstacles, there is optimism for the future of DR-TB control in West Africa. Investments are being made to improve healthcare systems, expand laboratory capacity, and support TB research and innovation. West African institutions are now supporting knowledge sharing, capacity building, and resource mobilization through collaborative initiatives such as the West African Network for TB, AIDS, and Malaria (WANETAM), the West African Health Organization (WAHO), and other regional or global partners. These efforts hold promise for improved diagnostics, optimized treatment regimens, and provide better patient outcomes in the future where drug-resistant TB in WA can be effectively controlled, reducing the burden of the disease, and improving the health outcomes of affected individuals.
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Affiliation(s)
- Isaac Darko Otchere
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Adwoa Asante-Poku
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | | | - Awa Ba Diallo
- Biological Sciences Department, Faculty of Pharmacy at Cheikh Anta Diop University, Dakar, Senegal
| | - Adama Sanou
- Centre Muraz, Institut National de Santé Publique, Bobo-Dioulasso, Burkina Faso
| | - Prince Asare
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Stephen Osei-Wusu
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Nneka Onyejepu
- Microbiology Department, Center for Tuberculosis Research Laboratory, Nigerian Institute of Medical Research, Lagos, Nigeria
| | - Bassirou Diarra
- University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Aderemi Kehinde
- Department of Medical Microbiology and Parasitology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Martin Antonio
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Epidemic Preparedness and Response, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Dorothy Yeboah-Manu
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
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Bangoura ST, Diallo BD, Diaby M, Camara A, Hounmenou CG, Magassouba AS, Kadio KJJO, Vanhems P, Touré A, Khanafer N. Predictors of Death in Rifampicin Resistant Tuberculosis Patients Treated with the Short Course in Conakry, Guinea. Am J Trop Med Hyg 2024; 110:117-122. [PMID: 37956449 PMCID: PMC10793011 DOI: 10.4269/ajtmh.23-0190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 09/17/2023] [Indexed: 11/15/2023] Open
Abstract
The emergence of rifampicin-resistant tuberculosis (RR-TB) is a major issue for TB control programs due to high risk of treatment failure and death. The objective of this study was to describe survival and to determine predictors of death in RR-TB patients treated with the short regimen (9-11 months) in the Conakry TB treatment centers. Sociodemographic, clinical, and survival data were collected prospectively between 2016 and 2021 on RR-TB patients in the Department of Pneumo-Phtisiology, the Carrière and the Tombolia TB centers. The Kaplan-Meier method was used to estimate the cumulative incidence of death of patients. The Cox regression model was used to identify the predictors independently associated with death. Of 869 patients, 164 (18.9%) patients died during treatment, 126 of them within 120 days of treatment initiation. The factors associated with death during treatment were as follows: patients treated in the Carrière TB center (adjusted hazard ratio [aHR] = 1.65; 95% CI: 1.06-2.59) and in the Department of Pneumo-Phtisiology (aHR = 3.26; 95% CI: 2.10-5.07), patients ≥ 55 years old (aHR = 4.80; 95% CI: 2.81-8.19), patients with no history of first-line TB treatment (aHR = 1.51; 95% CI: 1.05-2.16), and patients living with HIV (aHR = 2.81; 95% CI: 1.94-4.07). The results of this study can help the national TB control program to reconsider its therapeutic strategy to improve patient care in case of RR-TB. Large prospective clinical studies should be conducted to provide evidence of the impact of such factors like previous history of TB treatment and HIV infection on survival of RR-TB patients.
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Affiliation(s)
- Salifou Talassone Bangoura
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département de Santé Publique, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département des Sciences Pharmaceutiques et Biologiques, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | - Boubacar Djelo Diallo
- Programme National de Lutte Antituberculeuse, Conakry, Republic of Guinea
- Service de Pneumo-Phtisiologie, Hôpital National Ignace Deen, Conakry, Republic of Guinea
| | - Maladho Diaby
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | - Alioune Camara
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département de Santé Publique, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | - Castro Gbêmêmali Hounmenou
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | | | - Kadio Jean-Jacques Olivier Kadio
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département de Santé Publique, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département des Sciences Pharmaceutiques et Biologiques, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | - Philippe Vanhems
- Santé Publique, Epidémiologie et Ecologie Evolutive des Maladies Infectieuses, Centre international de recherche en infectiologie, INSERM-U1111-UCBL Lyon 1-ENS Lyon, France
- Service d’Hygiène, Épidémiologie, Infectiovigilance et Prévention, Edouard Herriot Hospital, Hospices Civils de Lyon, France
| | - Abdoulaye Touré
- Centre de Recherche et de Formation en Infectiologie de Guinée, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département de Santé Publique, Gamal Abdel Nasser University, Conakry, Republic of Guinea
- Département des Sciences Pharmaceutiques et Biologiques, Gamal Abdel Nasser University, Conakry, Republic of Guinea
| | - Nagham Khanafer
- Santé Publique, Epidémiologie et Ecologie Evolutive des Maladies Infectieuses, Centre international de recherche en infectiologie, INSERM-U1111-UCBL Lyon 1-ENS Lyon, France
- Service d’Hygiène, Épidémiologie, Infectiovigilance et Prévention, Edouard Herriot Hospital, Hospices Civils de Lyon, France
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Vidyasagaran AL, Readshaw A, Boeckmann M, Jarde A, Siddiqui F, Marshall AM, Akram J, Golub JE, Siddiqi K, Dogar O. Is Tobacco Use Associated With Risk of Recurrence and Mortality Among People With TB?: A Systematic Review and Meta-Analysis. Chest 2024; 165:22-47. [PMID: 37652295 PMCID: PMC10790178 DOI: 10.1016/j.chest.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/20/2023] [Accepted: 08/23/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Associations between tobacco use and poor TB treatment outcomes are well documented. However, for important outcomes such as TB recurrence or relapse and mortality during treatment, as well as for associations with smokeless tobacco (ST), the evidence is not summarized systematically. RESEARCH QUESTION Is tobacco use associated with risk of poor treatment outcomes among people with TB? STUDY DESIGN AND METHODS The MEDLINE, Embase, and Cumulative Index of Nursing and Allied Health Literature databases were searched on November 22, 2021. Epidemiologic studies reporting associations between tobacco use and at least one TB treatment outcome were eligible. Independent double-screening, extractions, and quality assessments were undertaken. Random effects meta-analyses were conducted for the two primary review outcomes (TB recurrence or relapse and mortality during treatment), and heterogeneity was explored using subgroups. Other outcomes were synthesized narratively. RESULTS Our searches identified 1,249 records, of which 28 were included in the meta-analyses. Based on 15 studies, higher risk of TB recurrence or relapse was found with ever using tobacco vs never using tobacco (risk ratio [RR], 1.78; 95% CI, 1.31-2.43; I2 = 85%), current tobacco use vs no tobacco use (RR, 1.95; 95% CI, 1.59-2.40; I2 = 72%), and former tobacco use vs never using tobacco (RR, 1.84; 95% CI, 1.21-2.80; I2 = 4%); heterogeneity arose from differences in study quality, design, and participant characteristics. Thirty-eight studies were identified for mortality, of which 13 reported mortality during treatment. Ever tobacco use (RR, 1.55; 95% CI, 1.32-1.81; I2 = 0%) and current tobacco use (RR, 1.51; 95% CI, 1.09-2.10; I2 = 87%) significantly increased the likelihood of mortality during treatment among people with TB compared with never using tobacco and not currently using tobacco, respectively; heterogeneity was explained largely by differences in study design. Almost all studies in the meta-analyses scored high or moderate on quality assessments. Narrative synthesis showed that tobacco use was a risk factor for other unfavorable TB treatment outcomes, as previously documented. Evidence on ST was limited, but identified studies suggested an increased risk for poor outcomes with its use compared with not using it. INTERPRETATION Tobacco use significantly increases the risk of TB recurrence or relapse and mortality during treatment among people with TB, highlighting the need to address tobacco use to improve TB outcomes. TRIAL REGISTRY PROSPERO; No.: CRD42017060821; URL: https://www.crd.york.ac.uk/prospero/.
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Affiliation(s)
| | - Anne Readshaw
- Department of Health Sciences, University of York, York, England; Yorkshire and North Lincolnshire Area Team, Natural England
| | - Melanie Boeckmann
- Department of Global Health, Institute of Public Health and Nursing Research (IPP), University of Bremen, Bremen, Germany
| | - Alexander Jarde
- Université de Paris, Centre d'Épidémiologie Clinique, Hôpital Hôtel-Dieu, and Cochrane France, Paris, France
| | - Faraz Siddiqui
- Department of Health Sciences, University of York, York, England
| | - Anna-Marie Marshall
- Department of Health Sciences, University of York, York, England; Research Fellow in Public Health and lecturer in Public Health and Psychology, Helen McArdle Nursing and Care Research Institute, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, England
| | - Janita Akram
- Hull York Medical School, University of York, York, England
| | - Jonathan E Golub
- Center for Tuberculosis Research, School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Kamran Siddiqi
- Department of Health Sciences, University of York, York, England; Hull York Medical School, University of York, York, England
| | - Omara Dogar
- Department of Health Sciences, University of York, York, England; Usher Institute, The University of Edinburgh, Edinburgh, Scotland.
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Sun J, Fan L, Zhao Y, Wu H, Li R, Tian Y, Cheng M, Ma X, Ma Y, Yang X, Shen A, Yu Y, Chen Y. Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017-2021. Infect Drug Resist 2023; 16:6983-6998. [PMID: 37933293 PMCID: PMC10625755 DOI: 10.2147/idr.s428720] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023] Open
Abstract
Objective Drug-resistant tuberculosis (DR-TB) in children seriously threatens TB control. Information on the epidemiology and characteristics of DR-TB in children in China is limited. We studied data in Shenyang Tenth People's Hospital to understand the DR-TB epidemiology in children in Shenyang. Design or Methods We retrospectively analyzed drug resistance testing data of pediatric TB patients between 2017 and 2021, and included 2976 clinically-diagnosed pediatric TB patients. We described the epidemiology of DR-TB and analyzed the trends of DR-TB incidence. The Kappa value was calculated to assess the agreement between MGIT 960 DST and Xpert MTB/RIF for detecting rifampicin resistance. Multivariate logistic regression was used to identify the risk factors for DR-TB in pediatric patients. Results Of the 2976 TB patients, 1076 were confirmed by MGIT 960 culture and/or Xpert MTB/RIF. Among the 806 patients identified by MGIT 960 culture, 232 cases (28.78%) were DR-TB. Resistance to the six drugs was in the following order: streptomycin (21.09%), isoniazid (9.35%), rifampin (15.01%), levofloxacin (6.20%), ethambutol (4.22%), and amikacin (3.23%). Alarmingly, 12.90% were MDR-TB (104/806), including 28 (3.47%) pre-XDR-TB. Of the 1076 pediatric TB patients, 295 (27.4%) developed DR-TB to any one drug (including 69 rifampicin-resistant cases identified by Xpert MTB/RIF only). No difference was found in the incidence of pediatric DR-TB between 2017 and 2021. Among 376 patients who were positive for both methods, using the MGIT 960 DST results as the gold standard, Xpert MTB/RIF's sensitivity for detecting rifampicin resistance was 91.38% and its specificity was 94.65%. Conclusion Between 2017 and 2021, the DR-TB incidence in children remained unchanged in Shenyang. RR-TB, MDR-TB, and even Pre-XDR-TB require attention in children with drug-resistant TB. Xpert MTB/RIF helped to detect more rifampicin-resistant pediatric patients; thus Xpert MTB/RIF should be widely used as an important complementary tool to detect rifampicin-resistant TB in children.
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Affiliation(s)
- Jiao Sun
- Tuberculosis Laboratory, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Lichao Fan
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Yanping Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Haoyu Wu
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Ran Li
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Yao Tian
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Moxin Cheng
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Xin Ma
- Tuberculosis Laboratory, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Yingying Ma
- Tuberculosis Laboratory, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Xinru Yang
- Tuberculosis Laboratory, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Adong Shen
- National Clinical Research Center for Respiratory Disease, Beijing, People’s Republic of China
| | - Yanhong Yu
- Tuberculosis Laboratory, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
| | - Yu Chen
- Department of Tuberculosis, Shenyang Tenth People’s Hospital/Shenyang Chest Hospital, Shenyang, People’s Republic of China
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Yu Q, Luo H, Hu S, Sun D, Nie Q, Yan J. The survival analysis of rifampicin/multidrug-resistant tuberculosis patients based on the levels of inflammatory biomarkers: a retrospective cohort study. Front Cell Infect Microbiol 2023; 13:1118424. [PMID: 37197206 PMCID: PMC10183571 DOI: 10.3389/fcimb.2023.1118424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 04/07/2023] [Indexed: 05/19/2023] Open
Abstract
Purpose The development of tuberculosis and inflammatory status are closely related. The aim of this study was to investigate the prognostic value of inflammatory biomarkers in patients with rifampicin/multidrug-resistant tuberculosis (RR/MDR-TB). Patients and methods This study recruited 504 patients with RR/MDR-TB from Wuhan Jinyintan Hospital. A total of 348 RR/MDR patients from January 2017 to December 2019 were defined as training set, the rest of patients as validation set. The patients were divided into three-risk degrees according to the levels of inflammatory biomarkers (median, 85th percentile). Kaplan-Meier curve and log-rank test were used to assess survival differences among the groups. Cox proportion risk regression was used to identify risk factors for RR/MDR-TB mortality. Results In training set, cox proportion risk regression analysis showed that high age (≥60 years) [OR (95%CI):1.053(1.03188-1.077)], smoking [OR (95%CI):2.206(1.191-4.085)], and bronchiectasia [OR (95%CI):2.867(1.548-5.311)] were prognostic factors for RR/MDR-TB patients. In addition, lower survival rates were observed in high CAR group [OR (95%CI):1.464(1.275-1.681)], high CPR group[OR (95%CI):1.268(1.101-1.459)], high CLR group[OR (95%CI):1.004(1.002-1.005)], high NLR group[OR (95%CI):1.103(1.069-1.139)], high PLR group[OR (95%CI):1.003(1.002-1.004)], and high MLR group[OR (95%CI):3.471(2.188-5.508)].Furthermore, AUCs of age, smoking, bronchiectasia, CAR, CPR, CLR, NLR, PLR, and MLR for predicting mortality in RR/MDR-TB patients were 0.697(95%CI:0.618-0.775), 0.603(95%CI:0.512-0.695), 0.629(95%CI:0.538-0.721), 0.748(95%CI:0.675-0.821, P<0.05), 0.754(95%CI:0.683-0.824, P<0.05), 0.759(95%CI:0.689-0.828, P<0.05), 0.789(95%CI:0.731-0.846, P<0.05), 0.740(95%CI:0.669-0.812, P<0.05), and 0.752(95%CI:0.685-0.819, P<0.05), respectively. Importantly, the AUC of predicting mortality of combination of six inflammatory biomarkers [0.823 (95%CI:0.769-0.876)] is higher than any single inflammatory biomarkers. Additionally, the similar results are also obtained in the validation set. Conclusion Inflammatory biomarkers could predict the survival status of RR/MDR-TB patients. Therefore, more attention should be paid to the level of inflammatory biomarkers in clinical practice.
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Affiliation(s)
- Qi Yu
- Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hong Luo
- Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shengling Hu
- Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Sun
- Department of Interventional Therapy, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Qi Nie
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
- *Correspondence: Qi Nie, ; Jisong Yan,
| | - Jisong Yan
- Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
- *Correspondence: Qi Nie, ; Jisong Yan,
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8
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Liu K, Ai L, Pan J, Fei F, Chen S, Zhang Y, Wang W, Wu Q, Chen B, Pan J, Zhong J. Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China. Risk Manag Healthc Policy 2022; 15:1167-1178. [PMID: 35669895 PMCID: PMC9166951 DOI: 10.2147/rmhp.s368593] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022] Open
Abstract
Background Pulmonary tuberculosis (PTB) is a severe infection, and its factors that influence survival have not been explored in some developed regions. Therefore, this study aimed to identify the factors that influence TB survival in China. Methods We acquired data of PTB deaths through matching two manage systems of PTB and mortality surveillance. The Kaplan–Meier method and Cox regression model were used to identify the significant factors under various survival times. Results A total of 283 deaths were caused by PTB, in which 53.4% occurred during the first year. In the Cox regression model, regular sputum smear test could reduce the risk of PTB death from the result of one-, three-, and five-year survival; and history of PTB treatment could decline the risk of PTB death in the first year. Additionally, age of “75–90 years” and positive result of sputum smear test significantly increased the risk of PTB death for the findings of three- and five-year survival, while age of “60–75 years” could increase the probability of PTB death for five-year survival. Conclusion To reduce PTB deaths, more attention should be paid to the older group especially in the first year. Regular sputum smear test could effectively reduce the mortality of PTB cases. More evidence-based interventions should be implemented to enhance the survival of patients with PTB.
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Affiliation(s)
- Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Liyun Ai
- Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Jin Pan
- Department of Non-Communicable Disease Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Fangrong Fei
- Department of Non-Communicable Disease Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Songhua Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Yu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Wei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Qian Wu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
| | - Junhang Pan
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
- Correspondence: Junhang Pan; Jieming Zhong, Email ;
| | - Jieming Zhong
- Department of Non-Communicable Disease Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People’s Republic of China
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Iradukunda A, Ndayishimiye GP, Sinarinzi D, Odjidja EN, Ntakaburimvo N, Nshimirimana I, Izere C. Key factors influencing multidrug-resistant tuberculosis in patients under anti-tuberculosis treatment in two centres in Burundi: a mixed effect modelling study. BMC Public Health 2021; 21:2142. [PMID: 34814876 PMCID: PMC8609742 DOI: 10.1186/s12889-021-12233-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 11/11/2021] [Indexed: 11/21/2022] Open
Abstract
Background Despite the World Health Organization efforts to expand access to the tuberculosis treatment, multidrug resistant tuberculosis (MDR-TB) remains a major threat. MDR-TB represents a challenge for clinicians and staff operating in national tuberculosis (TB) programmes/centres. In sub-Saharan African countries including Burundi, MDR-TB coexists with high burden of other communicable and non-communicable diseases, creating a complex public health situation which is difficult to address. Tackling this will require targeted public health intervention based on evidence which well defines the at-risk population. In this study, using data from two referral anti-tuberculosis in Burundi, we model the key factors associated with MDR-TB in Burundi. Methods A case-control study was conducted from 1stAugust 2019 to 15th January 2020 in Kibumbu Sanatorium and Bujumbura anti-tuberculosis centres for cases and controls respectively. In all, 180 TB patients were selected, comprising of 60 cases and 120 controls using incidence density selection method. The associated factors were carried out by mixed effect logistic regression. Model performance was assessed by the Area under Curve (AUC). Model was internally validated via bootstrapping with 2000 replications. All analysis were done using R Statistical 3.5.0. Results MDR-TB was more identified among patients who lived in rural areas (51.3%), in patients’ residence (69.2%) and among those with a household size of six or more family members (59.5%). Most of the MDR-TB cases had already been under TB treatment (86.4%), had previous contact with an MDR-TR case (85.0%), consumed tobacco (55.5%) and were diabetic (66.6 %). HIV prevalence was 32.3 % in controls and 67.7 % among cases. After modelling using mixed effects, Residence of patients (aOR= 1.31, 95%C: 1.12-1.80), living in houses with more than 6 family members (aOR= 4.15, 95% C: 3.06-5.39), previous close contact with MDR-TB (aOR= 6.03, 95% C: 4.01-8.12), history of TB treatment (aOR= 2.16, 95% C: 1.06-3.42), tobacco consumption (aOR = 3.17 ,95% C: 2.06-5.45) and underlying diabetes’ ( aOR= 4.09,95% CI = 2.01-16.79) were significantly associated with MDR-TB. With 2000 stratified bootstrap replicates, the model had an excellent predictive performance, accurately predicting 88.15% (95% C: 82.06%-92.8%) of all observations. The coexistence of risk factors to the same patients increases the risk of MDR-TB occurrence. TB patients with no any risk factors had 17.6% of risk to become MDR-TB. That probability was respectively three times and five times higher among diabetic and close contact MDR-TB patients. Conclusion The relatively high TB’s prevalence and MDR-TB occurrence in Burundi raises a cause for concern especially in this context where there exist an equally high burden of chronic diseases including malnutrition. Targeting interventions based on these identified risk factors will allow judicious channel of resources and effective public health planning. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-12233-2.
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Affiliation(s)
- Arnaud Iradukunda
- Department of Medicine, University of Burundi, Bujumbura, PB 1550, Burundi. .,Department of Statistics, Lake Tanganyika University, Mutanga, PB 5304, Burundi. .,Royal Society of Tropical Medicine and hygiene, 303-306 High Holborn, London, UK.
| | | | - Darlene Sinarinzi
- Department of Statistics, Lake Tanganyika University, Mutanga, PB 5304, Burundi
| | - Emmanuel Nene Odjidja
- Royal Society of Tropical Medicine and hygiene, 303-306 High Holborn, London, UK.,Department of Medicine, School of Clinical Sciences, Monash University, Wellington Rd, Clayton, VIC, 3800, Australia
| | - Nestor Ntakaburimvo
- Department of Statistics, Lake Tanganyika University, Mutanga, PB 5304, Burundi
| | | | - Cheilla Izere
- Department of Computer Mathematics, Clermont Auvergne University, PB 63000, Clermont-Ferrand, France
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Wang HR, Han C, Wang JL, Zhang YA, Wang MS. Risk Factor for Retreatment Episode on Admission Among TB Patients With Schizophrenia. Front Psychiatry 2021; 12:793470. [PMID: 34955934 PMCID: PMC8695840 DOI: 10.3389/fpsyt.2021.793470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 11/09/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The clinical characteristics of patients with tuberculosis (TB) and schizophrenia remain largely unknown. Furthermore, TB retreatment is associated with a poor outcome. Hence, we aimed to address the risk factors of TB retreatment in schizophrenia patients in this retrospective cohort. Methods: Between March 2005 and August 2020, patients diagnosed with schizophrenia and TB were included in the study. Patient characteristics, such as demographics, medical history, underlying diseases, symptoms, outcome, and lab examinations, were collected from medical records using a structured questionnaire. TB retreatment was defined as treatment failures and relapses. Subsequently, multivariate logistic regression was performed using variables selected based on prior findings as well as factors found to be associated with a retreatment episode in univariate analyses (p < 0.1). Results: A total of 113 TB patients with schizophrenia were included. Of them, 94 (83.2%) patients were classified as initial treatment group, and 19 (16.8%) were classified as retreatment group. The mean age was 53.0 ± 23.2 years, and males accounted for 61.9% of all cases. Multivariate analysis revealed that continuous antipsychotics treatment (OR = 0.226, 95% CI: 0.074, 0.693; p = 0.009) and extra-pulmonary TB (OR = 0.249, 95% CI: 0.080, 0.783; p = 0.017) were associated with the retreatment in TB patients with schizophrenia. Conclusion: Retreatment is a significant concern for TB patients with schizophrenia. To improve the current dilemma, continuous antipsychotics treatment is required, and increasing awareness of schizophrenia would reduce the disease burden.
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Affiliation(s)
- Hai-Rong Wang
- Department of Outpatient, Shandong Mental Health Center, Jinan, China
| | - Chao Han
- Department of Outpatient, Shandong Mental Health Center, Jinan, China
| | - Jun-Li Wang
- Department of Lab Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Yan-An Zhang
- Department of Cardiovascular Surgery, Shandong Public Health Clinical Center, Cheeloo College of Medicine, Shandong University, Jinan, China.,Shandong Key Laboratory of Infectious Respiratory Disease, Jinan, China
| | - Mao-Shui Wang
- Shandong Key Laboratory of Infectious Respiratory Disease, Jinan, China.,Department of Lab Medicine, Shandong Provincial Chest Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Lab Medicine, Shandong Public Health Clinical Center, Cheeloo College of Medicine, Shandong University, Jinan, China
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