Background: Individualised treatment regimens for drug resistant tuberculosis have improved outcomes. This retrospective observational study examined potential factors that affect individualised treatment in an endemic region, and highlighted predictors of a successful outcome.
Methods: We examined records of proven MDR, pre-XDR and XDR TB patients diagnosed and started on treatment between 2010 and 2014, and collected the following data for each patient: age, gender, comorbidities, past history of TB, diagnosis, site of disease, drug susceptibility testing (DST) results, treatment, adverse reactions to anti-tubercular drugs, treatment changes and outcomes, which were recorded as positive, negative or neutral. Tests of association were carried out between factors and outcomes, following which multiple logistic regression analysis was done to determine the predictors of a positive outcome such as patient cured after completion of treatment at 18 months or longer.
Results: Fifty-nine patients completed treatment at our centre. The median age was 26 years (range 8-65 years). There were 31 (52.5%) female patients. Forty-four (74.6%) were successfully treated over a median treatment period of 23 months (range 18-30 months). Successful outcomes were associated with age less than 45 years (P=0.01, OR=6.67, 95% CI=1.73-23.47), resistance to fewer than five drugs (P=0.001, OR=9.51, 95% CI=2.50-38.18) and susceptibility to Group 4 drugs (P=0.04, OR=4.71, 95% CI=1.03-16.83).
Conclusions: Age and drug susceptibility were important predictors of treatment outcome.
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http://dx.doi.org/10.1016/j.ijtb.2017.04.001 | DOI Listing |
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December 2024
Department of Orthopedics, The Second Affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
The DNA cross-link repair 1B (DCLRE1B) gene is involved in repairing cross-links between DNA strands, including those associated with Hoyeraal-Hreidarsson syndrome and congenital dyskeratosis. However, its role in tumours is not well understood. DCLRE1B expression profiles were examined in tumour tissues and normal tissues using TCGA, GTEx, and TARGET datasets.
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December 2024
Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
The unintended consequences of polypharmacy pose significant risks to older adults. The complexities of managing numerous medications from multiple prescribers demand a comprehensive approach to mitigate harms. Pharmacist-led clinics have been shown to improve outcomes in patients with diabetes and hypertension.
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December 2024
Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.
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December 2024
Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Sacubitril/valsartan, a first-in-class angiotensin receptor neprilysin inhibitor, is widely used to treat heart failure. Despite its efficacy, sacubitril/valsartan inevitably causes adverse events such as hypotension, renal dysfunction, hyperkalemia, and angioedema. Sacubitril/valsartan-associated ototoxicity is often underreported in clinical studies and real-world settings.
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December 2024
Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, China.
Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.
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