Epidemiological Characteristics of Multi-Drug Resistant Mycobacterium Tuberculosis and Analysis of Factors Affecting Patient Treatment Adherence

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  • 900th Hospital of PLA Joint Logistic Support ForceFujian Fuzhou 350000, China

Received date: 2025-03-18

  Revised date: 2025-04-22

  Accepted date: 2025-11-12

  Online published: 2025-11-18

Abstract

Objective: To investigate the epidemiological characteristics of multi-drug resistant mycobacterium tuberculosis MDR-TB and identify factors influencing patient treatment adherence.Methods: A total of 265 MDR-TB patients 265 strains were selected between February 2020 and February 2024. The temporal and seasonal distribution of clinical tuberculosis symptoms was examined. Patients completed a questionnaire collecting information on age sex marital status education level and medication adherence. Adherence was assessed and factors influencing adherence were analyzed.Results: The analysis revealed that April had the highest proportion of clinical tuberculosis symptom onset 16.60%), while September had the lowest 3.40%. Spring had the highest number of cases 111 cases 41.89%), followed by winter 81 cases 30.57%), indicating a seasonal peak in spring and winter. 265 strains of divergent tuberculosis showed resistant to more than two tested drugs and the overall resistance rate was 100% among which the drugs with high resistance rate were flunolone and aminosalicylic acid with a resistance rate of 70.57% followed by isoniazid 59.62%.Patients in the high-adherence group were younger ≥60 years), less likely to have a history of alcohol consumption more likely to exercise regularly more likely to have participated in TB treatment training and had greater awareness of core TB knowledge compared to the low-adherence group P<0.05. No significant differences were observed between the groups in terms of sex marital status education level income chronic comorbidities Bacillus Calmette-Guérin BCG vaccination smoking history or the distance from their home to the hospital P>0.05. Logistic regression analysis indicated that age ≥60 years and a history of alcohol consumption increased the risk of poor adherence while regular exercise participation in TB treatment training and knowledge of core TB information reduced the risk of poor adherence.Conclusion: Among MDR-TB patients the highest proportion of clinical symptom onset occurred in April the lowest in September with spring and winter showing relatively higher incidence. For treatment adherence age >60 years and alcohol consumption were associated with increased risk of poor adherence whereas regular exercise participation in TB treatment training and greater awareness of core TB knowledge were associated with reduced risk.


Cite this article

ZUO Yangbin, LI Jin, LIN Tianyu, WU Lijuan, CHEN Chunxi .

Epidemiological Characteristics of Multi-Drug Resistant Mycobacterium Tuberculosis and Analysis of Factors Affecting Patient Treatment Adherence

[J]. CHINESE JOURNAL OF MEDICINAL GUIDE, 2025 , 27(9) : 982 -986 . DOI: magtech.2025.03.18-00008

References

     [1 Hall MB Lima L Coin LJM et al. Drug resistance prediction for mycobacterium tuberculosis with reference graphsJ.Microb Genom202398):e001081.

         2  Al Mahrouqi S Gadalla A Al Azri S et al. Drug resistant mycobacterium tuberculosis in Omanresistance-conferring mutations and lineage diversityJ.Peer J2022102):e13645.

         3  CRyPTIC Consortium. Quantitative measurement of antibiotic resistance in mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approachJ.Nat Commun2024151):488-490.

         4  Zhou R Zheng T Luo D et al. Drug resistance characteristics of mycobacterium tuberculosis isolates obtained between 2018 and 2020 in SichuanChinaJ.Epidemiol Infect20221502):e27.

         5  Hosseinali Z Mohammadshahi J Teimourpour A et al. Molecular identification of multiple drug resistance MDR strain of mycobacterium tuberculosisJ.Mol Biol Rep20235012):10271-10275.

         6  Puyana Ortiz JD Garcés Rodríguez AC Aznar ML et al. Adherence and toxicity during the treatment of latent tuberculous infection in a referral center in spainJ. Trop Med Infect Dis 202387):373-375.

         7  Chin KL Anibarro L Sarmiento ME et al. Challenges and the way forward in diagnosis and treatment of tuberculosis infectionJ.Trop Med Infect Dis202382):89-92.

         8  Overbeck V Malatesta S Carney T et al. Understanding the impact of pandemics on long-term medication adherence directly observed therapy in a tuberculosis treatment cohort pre-and post-COVID-19 lockdownsJ.BMC Infect Dis2024241):1154-1156.

         9  Davis RA Leavitt HB Singh A et al. Examining interventions that aim to enhance TB treatment adherence in Southeast Asia a systematic review and meta-analysisJ.Indian J Tuberc2024711):48-63.

         10 郑珍慧,江巧敏,张尊敬.基于倾向性评分法评估耐药肺结核患者疾病感知与服药依从性的相关性[J.中华全科医学,20242111):1872-1875.

         11 Yagi K Asakura T Namkoong H et al. Association between six-minute walk test parameters and the health-related quality of life in patients with pulmonary mycobacterium avium complex diseaseJ.BMC Pulm Med2018181):114-116.

         12 Moon SJ Lee WY Hwang JS et al. Accuracy of a screening tool for medication adherence a systematic review and meta-analysis of the morisky medication adherence scale-8J.PLoS One20171211):e0187139.

         13 Cao WJ Chen CS Hua Y et al. Factor analysis of a health-promoting lifestyle profileHPLP):application to older adults in China's mainlandJ.Arch Gerontol Geriatr2012553):632-638.

         14 Pei S Song Z Yang W et al. The catalogue of mycobacterium tuberculosis mutations associated with drug resistance to 12 drugs in China from a nationwide survey a genomic analysisJ.Lancet Microbe2024511):e100899.

         15 Leong KWC Gautam SS Pradhan M et al. Comparative genomic analyses of multi-drug resistant mycobacterium tuberculosis from nepal and other geographical locationsJ.Genomics20221142):110278.

         16 Davis RA Leavitt HB Singh A et al. Examining interventions that aim to enhance TB treatment adherence in Southeast Asia a systematic review and meta-analysisJ.Indian J Tuberc2024711):48-63.

         17 Loiseau C Windels EM Gygli SM et al. The relative transmission fitness of multidrug-resistant mycobacterium tuberculosis in a drug resistance hotspotJ.Nat Commun2023141):1988-1990.

         18 Datta D Jamwal S Jyoti N et al. Actionable mechanisms of drug tolerance and resistance in mycobacterium tuberculosisJ.FEBS J202429120):4433-4452.

         19 Schami A Islam MN Belisle JT et al. Drug-resistant strains of mycobacterium tuberculosis cell envelope profiles and interactions with the hostJ.Front Cell Infect Microbiol2023138):e1274175.

         20 Ku JH Henkle E Carlson KF et al. Evaluation of mycobacterium avium complex pulmonary disease treatment completion and adherence to ATS/IDSA guidelinesJ.Clin Infect Dis2023763):e1408-e1415.

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