Drug resistance profile of Mycobacterium tuberculosis and predictors associated with the development of drug resistance

Hameed, Salma; Ahmad, Sajid Rashid; Rahman, Mohammad Aqeel ur; Nazir, Humera; Ullah, Irfan

doi:10.1016/j.jgar.2019.03.009

Cited by 10 publications

(7 citation statements)

References 26 publications

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“…24,32 In contrast to this finding, previous studies have found that MDR-TB is more common in patients younger than 45 years of age given that they are busier with work or study than older patients and subsequently more exposed to the risk of DR-TB. [33][34][35] This discrepancy may be related to the different study populations. Patients with suspected DR-TB living in rural areas are more likely to develop MDR-TB than those living in urban areas.…”

Section: Discussionmentioning

confidence: 94%

“… 25 In addition, this finding is noted potentially because rural patients live in remote areas with insufficient socioeconomic development, low education and a lack of nutrition and sanitation facilities, which have an important impact on the development of MDR-TB. 35 TB patients with a history of treatment were significantly associated with MDR-TB (P<0.05). 37 A similar result was found in a study conducted in Ethiopia.…”

Section: Discussionmentioning

confidence: 99%

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Drug Resistance Patterns and Trends in Patients with Suspected Drug-Resistant Tuberculosis in Dalian, China: A Retrospective Study

Pan¹,

Yu²,

Lu³

et al. 2022

IDR

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Purpose The emergence of drug-resistant tuberculosis (DR-TB) represents a threat to the control of tuberculosis. This study aimed to estimate the patterns and trends of DR-TB in patients with suspected DR-TB. In addition, risk factors for multidrug-resistant tuberculosis (MDR-TB) were identified among suspected DR-TB patients in Dalian, China. Patients and Methods A total of 5661 patients with suspected DR-TB from Jan 1, 2013 to Dec 31, 2020 were included in the final analysis. The resistance pattern of all resistant strains was determined by drug susceptibility testing (DST) using the conventional Lowenstein-Jensen Proportion Method (LJ). DR-TB trends were estimated from 2013 to 2020. During the research period, the chi-square test was employed to analyze the significance of linear drug-resistance trends across time. Bivariate and multivariate logistic regression were performed to assess factors associated with MDR-TB. Results From 2013 to 2020, the resistance rates of rifampicin (RFP) and isoniazid (INH) decreased significantly, whereas the resistance rates of ethambutol (EMB) and streptomycin (SM) increased in patients with suspected DR-TB. From 2013 to 2020, the prevalence of DR-TB decreased in all patients from 34.71% to 28.01% with an average annual decrease of 3.02%. Among new cases, from 2013 to 2020, the prevalence of DR-TB (from 26.67% to 24.75%), RFP-resistant TB (RR-TB) (from 15.09% to 3.00%) and MDR-TB (from 6.08% to 2.62%) showed a significant downward trend. Among patients with a previous treatment history, DR-TB (from 54.70% to 37.50%), RR-TB (from 44.16% to 11.49%) and MDR-TB (from 26.90% to 10.34%) showed a significant downward trend from 2013 to 2020. Males (AOR 1.28, 95% CI 1.035–1.585), patients 45 to 64 years of age (AOR 1.75, 95% CI 1.342–2.284), patients 65 years and older (AOR 1.65, 95% CI 1.293–2.104), rural residents (AOR 1.24, 95% CI 1.014–1.519) and a previous treatment history (AOR 3.94, 95% CI 3.275–4.741) were risk factors for MDR-TB. Conclusion The prevalence of DR-TB, RR-TB and MDR-TB was significantly reduced from 2013 to 2020. Considerable progress has been made in the prevention and treatment of DR-TB during this period. However, the increasing rate of drug resistance in EMB and SM should be taken seriously. Suspected DR-TB patients who are male, older than 45 years of age, live in rural areas, and have a history of TB treatment should be given priority by health care providers.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Drug Resistance Patterns and Trends in Patients with Suspected Drug-Resistant Tuberculosis in Dalian, China: A Retrospective Study

Pan¹,

Yu²,

Lu³

et al. 2022

IDR

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“…Our study concluded that age < 65 years old was an independent risk factor for multidrug resistance in patients with TB and DM, which was consistent with FAUSTINI A et al [ 17 ].The considered reason was that MDR-TB patients were younger than non-MDR-TB patients [ 23 ]. Previous studies had found that MDR-TB was more common in patients younger than 65 years of age given that they were busier with work or study than older patients and subsequently more exposed to the risk of MDR-TB [ 15 , 16 ]. .…”

Section: Discussionmentioning

confidence: 99%

Risk factors for multidrug resistance in tuberculosis patients with diabetes mellitus

Liang

2022

BMC Infect Dis

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Objective To study the risk factors and prediction models of multidrug resistance in patients with tuberculosis and diabetes and those with a history of tuberculosis treatment. Methods A total of 256 tuberculosis patients with diabetes who were registered in Luoyang city, Henan Province, from January 2018 to December 2021. Logistic regression analysis was performed to analyse the risk factors for multidrug resistance. ROC curves were used to analyse the predictive model for multidrug resistance. Results Age < 65 years old, HbA1c, and a history of tuberculosis treatment were independent risk factors for multidrug resistance in patients with tuberculosis and diabetes (P < 0.05). The area under the ROC curve of predictive model for MDR was 0.878 (95% CI (0.824, 0.932)). Age < 65 years old and HbA1c were independent risk factors for MDR in patients with TB and diabetes with a history of TB treatment. The area under the ROC curve of predictive model for MDR was 0.920 [95% CI (0.831, 0.999)]. Conclusion The predictive model had certain prediction value for the risk of multidrug resistance in patients with tuberculosis and diabetes.

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“…Other factors such as illiteracy, poverty, humanitarian crises and other complex con icts further exacerbates the treatment challenges attributing to relatively higher prevalence of drug resistant tuberculosis in Pakistan than other countries (14,15). Young age and previous anti-TB treatment have been identi ed as predictors of MDR-TB prevalence in some populations, while, marital status, being a housewife, rural residence and unemployment were also reported as risk-factors (16). The literature also highlights the need of surveillance of drug resistance among TB patients to effectively combat the global TB epidemic and prevent further antimicrobial resistance.…”

Section: Introductionmentioning

confidence: 99%

Tuberculosis and Its Predictors in Pakistani Population Transmission Dynamics and Drug Resistance of Mycobacterium

Zhang¹,

Jabeen²,

Fu³

et al. 2021

Preprint

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Drug resistance in tuberculosis (TB) is biggest growing global health concern affecting 10 million people globally with 1.2 million deaths recently. TB is a highly contagious disease predominant infecting lungs. Inappropriate health care management system poor implementation on standard remains some reasons contributing to antimicrobial resistance. Therefore, in the present context two types of tuberculosis are identified, in which the mycobacterium is resistant to isoniazid and rifampicin called as multidrug resistant tuberculosis (MDR-TB) and the other one is known as XDR-TB in which along with isoniazid and rifampin, resistance to at least one fluoroquinolone drug family and any of the second line drugs like amikacin, capreomycin, kanamycin occurs. There is a need of collecting data for frequency of occurrence of these resistant varieties for proper control and management of the disease. Thus, the current study focused on transmission dynamics and status of occurrence of drug resistance of Mycobacterium Tuberculosis in Pakistani population. The occurrence of TB bacteria in the patients of Pakistani population was tested by all three types of diagnostic methods. Smear sputum test, genetic profiling by GeneXpert test and drug susceptibility test by cultural growth on solid and liquid media was performed. The results showed that smear test of 72.9% patient were tested positive, while MTBC complex was detected in 100% patients with a variable bacterial load. The cultural growth on liquid media 83.2% while 16.8% were contaminated strains. However, in solid media 60.4% population growth was detected with 21.9% contamination. The Pakistani population was resistant against RIF is large majority while XDR and MDR resistance are not quit significant. A large number of antibiotics showed appreciable effectiveness against tuberculosis where amikacin was the most effective with Ethambutol, Pyrazinamide, Levofloxacin, Streptomycin, Kanamycin and Oxfloxacin being effective in decreasing order.

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Drug resistance profile of Mycobacterium tuberculosis and predictors associated with the development of drug resistance

Cited by 10 publications

References 26 publications

Drug Resistance Patterns and Trends in Patients with Suspected Drug-Resistant Tuberculosis in Dalian, China: A Retrospective Study

Drug Resistance Patterns and Trends in Patients with Suspected Drug-Resistant Tuberculosis in Dalian, China: A Retrospective Study

Risk factors for multidrug resistance in tuberculosis patients with diabetes mellitus

Tuberculosis and Its Predictors in Pakistani Population Transmission Dynamics and Drug Resistance of Mycobacterium

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