individualized treatment
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Author(s):  
Yu.I. Feshchenko ◽  
N.A. Litvinenko ◽  
N.V. Grankina ◽  
M.V. Pogrebna ◽  
Yu.O. Senko ◽  
...  

Objective — to study the effectiveness of treatment of MDR-TB (multidrug-resistant tuberculosis) and preXDR-TB/XDR-TB (pre-extensively and extensively drug resistant tuberculosis), depending on the composition of ITRs (individualized treatment regimens). Materials and methods. Тhe prospective observational study included 566 patients with MDR/preXDR-TB and XDR-TB during 2016—2020 on the scientific clinical bases of the SI «National Institute of Phthisiology and Pulmonology named after F.G. Yanovsky NAMS of Ukraine» and ME «Kryvyi Rih Anti-tuberculosis Dispensary» Dnipropetrovsk Regional Council Department. Patients were prescribed individualized treatment regimens in cases where short (standard or modified) regimens could not be prescribed. Patients were divided into comparison groups: 469 of them were treated with antimycobacterial therapy including bedaquiline and other effective antimycobacterial drugs groups A—C (without delamanid) — group 1. And 97 patients who were treated with the inclusion of both new antimycobacterial drugs (bedaquiline and delamanid) — group 2. Results and discussion. Regardless of whether the delamanid, in addition to bedaquiline and other drugs selected for the scheme according to WHO recommendations, «effective treatment» was found in 91.3 against 88.6 % of patients. In the remote period (6-month — 4-year follow-up period) there was no recurrence of the disease, regardless of the composition of the regime. The loss of treatment effectiveness was due to deaths from non-tuberculosis reasons and those lost for follow-up. Conclusions. For highly effective treatment, individualized regimens should include bedaquidine and linezolid from group A, and for previously ineffectively treated patients, clofazimine and carbapenems must be included (possibility to include 4 or more effective AMDs in ITR). For patients with fluoroquinolone resistance, treatment should include delamanid.


2021 ◽  
Vol 11 (12) ◽  
pp. 1316
Author(s):  
Chi-Shin Wu ◽  
Albert C. Yang ◽  
Shu-Sen Chang ◽  
Chia-Ming Chang ◽  
Yi-Hung Liu ◽  
...  

This study aims to develop and validate the use of machine learning-based prediction models to select individualized pharmacological treatment for patients with depressive disorder. This study used data from Taiwan’s National Health Insurance Research Database. Patients with incident depressive disorders were included in this study. The study outcome was treatment failure, which was defined as psychiatric hospitalization, self-harm hospitalization, emergency visits, or treatment change. Prediction models based on the Super Learner ensemble were trained separately for the initial and the next-step treatments if the previous treatments failed. An individualized treatment strategy was developed for selecting the drug with the lowest probability of treatment failure for each patient as the model-selected regimen. We emulated clinical trials to estimate the effectiveness of individualized treatments. The area under the curve of the prediction model using Super Learner was 0.627 and 0.751 for the initial treatment and the next-step treatment, respectively. Model-selected regimens were associated with reduced treatment failure rates, with a 0.84-fold (95% confidence interval (CI) 0.82–0.86) decrease for the initial treatment and a 0.82-fold (95% CI 0.80–0.83) decrease for the next-step. In emulation of clinical trials, the model-selected regimen was associated with a reduced treatment failure rate.


2021 ◽  
Vol 12 ◽  
Author(s):  
Cong Wang ◽  
Jinyi Lin ◽  
Yan Wang ◽  
David H. Hsi ◽  
Jiahui Chen ◽  
...  

Background: Immune checkpoint inhibitor (ICI)–associated myocarditis is an uncommon and potentially fatal immune-related adverse event (irAE). Although corticosteroids are recommended as the first-line treatment by current guidelines, patients still have variable responses to it, and the guidelines vary significantly in terms of treatment strategies.Objectives: In this study, we performed a retrospective analysis of ICI-associated myocarditis in our hospital to propose a new comparative analysis to aid individualized treatment.Methods: We reviewed detailed records of 24 patients with confirmed ICI-associated myocarditis in our hospital from July 1, 2019, to April 1, 2021. Although all the cases in our study received recommended initial corticosteroid treatment according to the guidelines, different responses to corticosteroid were observed during the process of subsequent corticosteroid tapering. Basing on troponin cardiac troponin T rebound during corticosteroid tapering, we propose a new classification analysis of ICI-associated myocarditis that included two subgroups: corticosteroid-sensitive (n = 8) and corticosteroid-resistant group (n = 16).Results: Compared with corticosteroid-sensitive patients, larger doses of corticosteroid, longer period of treatment, and higher mortality rate were found in corticosteroid-resistant patients. Corticosteroid-resistant patients were characterized by more prominent ptosis, muscle weakness, elevated cardiac biomarkers, creatine kinase, and hepatic enzymes levels than that in the corticosteroid-sensitive patients. Tofacitinib (5 mg twice a day) was used in 11 corticosteroid-resistant patients, with seven patients recovered from ICI-associated myocarditis, showing a promising therapeutic effect.Conclusion: Our group analysis of corticosteroid responsiveness in patients with ICI-associated myocarditis may help clinicians to apply individualized treatment in this high-risk cohort. In addition, tofacitinib could provide clinical benefits when used early in the corticosteroid-resistant patients and may provide a new option for the treatment of ICI-associated myocarditis.


2021 ◽  
Vol 9 (33) ◽  
pp. 10345-10354
Author(s):  
Jie-Hui Cai ◽  
Jie-Hua Zheng ◽  
Xiao-Qi Lin ◽  
Wei-Xun Lin ◽  
Juan Zou ◽  
...  

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