RÉSUMÉ
Objective:To evaluate the predictive value of the UK Myeloma Research Alliance Risk Profile(MRP)score based on clinical outcomes in elderly patients with newly diagnosed multiple myeloma(NDMM).Methods:Patients aged ≥65 years with NDMM in our hospital from March 2018 to September 2021 were divided into three groups with low, medium and high risk according to MRP scores.Their therapeutic efficacy, adverse effects, and survival were analyzed.Results:A total of 63 NDMM patients were enrolled with median age of 69 years(65-84 years)and median follow-up of 13.3(1.2-43.4)months.Based on MRP score, there were 22 patients in the low-risk group, 13 cases in medium-risk group, 28 patients in the high-risk group.The median progression-free survival(PFS)time of the three groups was 38.4, 25.1 and 21.2 months respectively, and the estimated 2-year PFS rate was 83.9%, 60.0%, and 45.6%, respectively(all P=0.177). The estimated 2-year overall survival(OS)rate was 100.0%, 90.0%, 74.6%, respectively(all P=0.049). Among patients with grade 2 or above hematological adverse events, there were 20 cases(71.4%), 7 cases(53.8%)and 8 cases(36.4%)in the high-, medium-and low-risk groups, with statistically significant differences( χ2=6.154, P=0.046). Among patients with grade 3 or higher non-hematological adverse events, there were 17 cases(60.7%), 5 case(38.5%)and 5 cases(22.7%)in the high-, medium-and low-risk groups, with statistically statistical significance( χ2=7.389, P=0.025). The patients experiencing interruption, delay or replacement of chemotherapy regimen were 6 cases(46.2%)and 19 cases(67.9%)in the medium-and high-risk groups, which were higher than in the low-risk group(31.8%, χ2=6.543, P=0.038). Conclusions:It is feasible to conduct MRP score in elderly NDMM patients.The MRP score can be used to predict the adverse events of chemotherapy, etc, and has certain value for the prognosis evaluation of patients.
RÉSUMÉ
Objective To develop a prediction model for functional gain in the activities of daily living (ADL) after stroke rehabilitation. Methods Logistic regression was applied to 896 patient records from two hospitals. Functional gains in ADL were measured using a modified Barthel index (MBI). Results Five parameters were screened in the logistic regression model. The equation was: Logit( P/Y =1)=6.259+1.048 ( first onset to admission interval)+1.242(MBI score at admission)+0.300(number of comorbidities)+1.095(retired cadre dummy)+ 0.906(worker dummy) + 1.384 (professional dummy). This formulation accounted for about 78% of the variance in the data. Conclusions MBI score at admission, the interval between first onset and admission, comorbidities, job status and occupation are the main factors predicting functional ADL gains after stroke. The model can be used to predict outcomes for individual stroke patients at admission to rehabilitation.