WebNov 23, 2024 · Patients and Methods: Adults ≥18 years were eligible if they had LVEF ≥45%, creatinine ≤2.0 mg/dL, bilirubin ≤2.5-times upper limit of normal, and treatment-related mortality (TRM) score of ≤13.1, previously corresponding to <13.1% risk of 28-day mortality (Walter et al. J Clin Oncol 2011;29:4417-23). WebOct 11, 2011 · Results: Performance status (PS) and age were the most important individual predictors of TRM (AUCs of 0.75 and 0.65, respectively). However, multicomponent …
TM-score: Quantitative assessment of similarity between protein …
WebJun 22, 2024 · Not surprisingly, the full model with basic variables and all 3 risk scores yielded the best results with a C-statistic of 0.699 (SE = 0.0205) for TRM score, 0.715 (SE … Web3.4.1.2 CALCULATION OF TRANSITION RISK MANAGEMENT (TRM) TILT SCORE The TRM Tilt Score is assigned to each security in the Eligible Universe based on the TRM Score as per the table below: TRM Score TRM Tilt Score TRM Score Unavailable 1.00 TRM Score less than or equal to 6 1.00 TRM Score greater than 6 but less than or equal to 7 1.05 python levenshtein包
TM-score: Quantitative assessment of similarity between protein …
WebFeb 3, 2024 · According to TRM score, TRM was significantly higher in high‐risk group (P = .006). High‐risk patients had lower survival comparing to low/intermediate group (P = .0001). OS did not differ between ALL , AML , and MDS /JMML groups. The study confirmed the utility of factors included in TRM score stratification in assessing the risk of ... WebDec 2, 2016 · 12 newly diagnosed patients (10 AML, 2 MDS) were treated on protocol at our academic center. 18 others (16 AML, 2 MDS) were treated off study because of higher TRM scores or by community oncologists, with chart review on an IRB approved protocol. TRM scores ranged from 0.5 - 61 with a median of 10. Ages ranged from 46-92 with a median … WebThe TRM score uses pre-treatment patient and disease characteristics to estimate the probability of death within the first 28 days after induction. In a few patients, a single component for TRM calculation was missing so median values from the database as a whole were used. Patients were classified as having secondary disease if they had an ... python lg open pit