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Chukwu JN, Onah CK, Ossai EN, Nwafor CC, Alphonsus C, Ezeakile OE, Murphy-Okpala N, Eze CC, Chijioke-Akaniro O, Meka A, Njoku MI, Iyama FS, Ekeke N. Improving TB Case Detection Through Active Case-Finding: Results of Multiple Intervention Strategies in Hard-to-Reach Riverine Areas of Southern Nigeria. GLOBAL HEALTH, SCIENCE AND PRACTICE 2024; 12:e2300164. [PMID: 38290754 PMCID: PMC10906553 DOI: 10.9745/ghsp-d-23-00164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/08/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND A major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria. METHODS Using a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019. RESULTS A total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment. CONCLUSIONS We found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.
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Affiliation(s)
- Joseph N Chukwu
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | - Cosmas Kenan Onah
- Department of Community Medicine, Alex Ekwueme Federal University Teaching Hospital Abakaliki, Abakaliki, Nigeria.
| | - Edmund Ndudi Ossai
- Department of Community Medicine, Ebonyi State University, Abakaliki, Nigeria
| | - Charles C Nwafor
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | | | | | | | - Chinwe C Eze
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | | | - Anthony Meka
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | - Martin I Njoku
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | - Francis S Iyama
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
| | - Ngozi Ekeke
- German Leprosy and Tuberculosis Relief Association, Enugu, Nigeria
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Song Y, Ma J, Gao H, Zhai J, Zhang Y, Gong J, Qu X, Hu T. The identification of key metabolites and mechanisms during isoniazid/rifampicin-induced neurotoxicity and hepatotoxicity in a mouse model by HPLC-TOF/MS-based untargeted urine metabolomics. J Pharm Biomed Anal 2023; 236:115709. [PMID: 37690188 DOI: 10.1016/j.jpba.2023.115709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/12/2023]
Abstract
The co-administration of isoniazid (INH) and rifampicin (RIF) is associated with hepatotoxicity and neurotoxicity. To systematically investigate the mechanisms of hepatotoxicity and neurotoxicity induced by INH/RIF, we used high performance liquid chromatography-time of flight mass spectrometry (HPLC-TOF/MS)-based untargeted metabolomics to analyze urine from a mouse model and screened a range of urinary biomarkers. Mice were orally co-administered with INH (120 mg/kg) and RIF (240 mg/kg) and urine samples were collected on days 0, 7, 14 and 21. Hepatotoxicity and neurotoxicity were assessed by samples of liver, brain and kidney tissue which were harvested for histological analysis. Toxicity analysis revealed that INH/RIF caused hepatotoxicity and neurotoxicity in a time-dependent manner; compared with day 0, the levels of 35, 82 and 86 urinary metabolites were significantly different on days 7, 14 and 21, respectively. Analysis showed that by day 21, exposure to INH+RIF had caused disruption in vitamin B6 metabolism; the biosynthesis of unsaturated fatty acids; tyrosine, taurine, hypotaurine metabolism; the synthesis of ubiquinone and other terpenoid-quinones; and the metabolism of tryptophan, nicotinate and nicotinamide. Nicotinic acid, nicotinuric acid and kynurenic acid were identified as sensitive urinary biomarkers that may be useful for the diagnosis and evaluation of toxicity.
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Affiliation(s)
- Yanqing Song
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Jie Ma
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Huan Gao
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Jinghui Zhai
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Yueming Zhang
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Jiawei Gong
- Department of Clinical Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China
| | - Xiaoyu Qu
- Department of Pharmacy, the First Hospital of Jilin University, 130021 Changchun, China.
| | - Tingting Hu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, 130021 Changchun, China.
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Zhou J, Pu J, Wang Q, Zhang R, Liu S, Wang G, Zhang T, Chen Y, Xing W, Liu J, Hu D, Li Y. Tuberculosis treatment management in primary healthcare sectors: a mixed-methods study investigating delivery status and barriers from organisational and patient perspectives. BMJ Open 2022; 12:e053797. [PMID: 35443945 PMCID: PMC9021800 DOI: 10.1136/bmjopen-2021-053797] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Tuberculosis (TB) treatment management services (TTMSs) are crucial for improving patient treatment adherence. Under the TB integrated control model in China, healthcare workers (HCWs) in the primary healthcare (PHC) sectors are responsible for TTMS delivery. This mixed-method study aimed to explore the status of and barriers to TTMS delivery faced by HCWs in PHC sectors from the health organisational and patient perspectives. DESIGN We completed a questionnaire survey of 261 TB healthcare workers (TB HCWs) and 459 patients with TB in the PHC sector and conducted 20 semistructured interviews with health organisational leaders, TB HCWs and patients with TB. SPSS V.22.0 and the framework approach were used for data analysis. SETTING PHC sectors in Southwest China. RESULTS Our results showed that TTMS delivery rate by HCWs in PHC sectors was <90% (88.4%) on average, and the delivery rates of intensive and continuation phase directly observed therapy (DOT) were only 54.7% and 53.0%, respectively. HCWs with high work satisfaction and junior titles were more likely to deliver first-time home visits and DOT services. Our results suggest that barriers to TTMS delivery at the organisational level include limited patient-centred approaches, inadequate resources and incentives, insufficient training, poor cross-sectional coordination, and strict performance assessment. At the patient level, barriers include low socioeconomic status, poor health literacy and TB-related social stigma. CONCLUSION TTMSs in Southwest China still need further improvement, and this study highlighted specific barriers to TTMS delivery in the PHC sector. Comprehensive measures are urgently needed to address these barriers at the organisational and patient levels to promote TB control in Southwest China.
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Affiliation(s)
- Jiani Zhou
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Jie Pu
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Qingya Wang
- Department of Districts and Counties, Chongqing Institute of Tuberculosis Prevention and Treatment, Chongqing, China
| | - Rui Zhang
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Shili Liu
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Geng Wang
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Ting Zhang
- Department of Districts and Counties, Chongqing Institute of Tuberculosis Prevention and Treatment, Chongqing, China
| | - Yong Chen
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Wei Xing
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Jiaqing Liu
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
| | - Daiyu Hu
- Department of Districts and Counties, Chongqing Institute of Tuberculosis Prevention and Treatment, Chongqing, China
| | - Ying Li
- Department of Social Medicine and Health Service Management, Army Medical University, Chongqing, China
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Liu X, Ren N, Ma ZF, Zhong M, Li H. Risk factors on healthcare-associated infections among tuberculosis hospitalized patients in China from 2001 to 2020: a systematic review and meta-analysis. BMC Infect Dis 2022; 22:392. [PMID: 35443620 PMCID: PMC9019792 DOI: 10.1186/s12879-022-07364-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background China has been still suffering from high burden attributable to tuberculosis (TB) and healthcare-associated infections (HAIs). TB patients are at high risk to get HAIs. Evidence-based guidelines or regulations to constrain the rising HAIs among TB hospitalized patients are needed in China. The aim of this systematic review and meta-analysis is to investigate the risk factors associated with HAIs among TB hospitalized patients in Chinese hospitals. Methods Medline, EMBASE and Chinese Journals Online databases were searched. The search was limited to studies published from January 1st 2001 to December 31st 2020. Meta-analyses of ORs of the risk factors between patients with HAIs and patients without HAIs among TB hospitalized patients were estimated. Heterogeneity among studies was assessed based on the \documentclass[12pt]{minimal}
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\begin{document}$$\widehat{{\uptau }}$$\end{document}τ^2 and I2 statistics to select the meta-analysis model. Review Manager 5.3 was employed and P < 0.05 was considered as statistical significance. Results 851 records were filtered from the databases, of which 11 studies were included in the quantitative meta-analysis. A total of 11,922 TB patients were included in the systematic review and meta-analysis, of which 1133 were diagnosed as having HAIs. Age older than 60 years (OR: 2.89 [2.01–4.15]), complications (OR: 3.28 [2.10–5.13]), diabetes mellitus (OR: 1.63 [1.22–2.19]), invasive procedure (OR: 3.80 [2.25–6.42]), longer than 15 hospitalization days (OR: 2.09 [1.64–2.64]), secondary tuberculosis (OR: 2.25 [1.48–3.42]), smoking (OR: 1.40[1.02–1.93]), underlying disease (OR: 2.66 [1.53–4.62]), and use of antibiotics (OR: 2.77 [2.35–3.27]) were the main risk factors associated with HAIs among TB hospitalized patients with a statistical significance (P < 0.05). Conclusions Age older than 60 years, presence of complications, presence of diabetes mellitus, invasive procedure, longer than 15 hospitalization days, secondary tuberculosis, smoking, presence of underlying disease, and use of antibiotics were the main risk factors which had a negative impact on HAIs among TB hospitalized patients in Chinese hospitals. These findings provided evidence for policy makers and hospital managers to make effective infection prevention and control measures to constrain the rising HAIs. It is also required that more cost-effective infection prevention and control measures should be widely applied in routinely medical treatment and clinical management to reduce the occurrence of HAIs among TB hospitalized patients. Supplementary information The online version contains supplementary material available at 10.1186/s12879-022-07364-9.
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Affiliation(s)
- Xinliang Liu
- School of Public Health/Global Health Institute, Wuhan University, No. 115 Donghu Road, Wuhan, 430071, China.,Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, M13 9PL, UK
| | - Nili Ren
- Wuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, 430030, China
| | - Zheng Feei Ma
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China
| | - Meiling Zhong
- School of Public Health/Global Health Institute, Wuhan University, No. 115 Donghu Road, Wuhan, 430071, China
| | - Hao Li
- School of Public Health/Global Health Institute, Wuhan University, No. 115 Donghu Road, Wuhan, 430071, China.
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