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Objective:To investigate the value of an MRI and digital pathology images based omics nomogram for the prediction of recurrence risk in soft tissue sarcoma (STS).Methods:This was a retrospective cohort study. From January 2016 to March 2021, 192 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled, among which 112 patients in the Laoshan campus were enrolled as training set, and 80 patients in the Shinan campus were enrolled as validation set. The patients were divided into recurrence group ( n=87) and no recurrence group ( n=105) during follow-up. The clinical and MRI features of patients were collected. The radiomics features based on fat saturated T 2WI images and pathomics features based on digital pathology images of the lesions were extracted respectively. The clinical model, radiomics model, pathomics model, radiomics-pathomics combined model, and omics nomogram which combined the optimal prediction model and the clinical model were established by multivariate Cox regression analysis. The concordance index (C index) and time-dependent area under the receiver operating characteristic curve (t-AUC) were used to evaluate the performance of each model in predicting STS postoperative recurrence. The DeLong test was used for comparison of t-AUC between every two models. The X-tile software was used to determine the cut-off value of the omics nomogram, then the patients were divided into low risk ( n=106), medium risk ( n=64), and high risk ( n=22) groups. Three groups′ cumulative recurrence-free survival (RFS) rates were calculated and compared by the Kaplan-Meier survival curve and log-rank test. Results:The performance of the radiomics-pathomics combined model was superior to the radiomics model and pathomics model, with C index of 0.727 (95% CI 0.632-0.823) and medium t-AUC value of 0.737 (95% CI0.584-0.891) in the validation set. The omics nomogram was established by combining the clinical model and the radiomics-pathomics combined model, with C index of 0.763 (95% CI 0.685-0.842) and medium t-AUC value of 0.783 (95% CI0.639-0.927) in the validation set. The t-AUC value of omics nomogram was significantly higher than that of clinical model, TNM model, radiomics model, and pathomics model in the validation set ( Z=3.33, 2.18, 2.08, 2.72, P=0.001, 0.029, 0.037, 0.007). There was no statistical difference in t-AUC between the omics nomogram and radiomics-pathomics combined model ( Z=0.70, P=0.487). In the validation set, the 1-year RFS rates of STS patients in the low, medium, and high recurrence risk groups were 92.0% (95% CI 81.5%-100%), 55.9% (95% CI 40.8%-76.6%), and 37.5% (95% CI 15.3%-91.7%). In the training and validation sets, there were statistically significant in cumulative RFS rates among the low, medium, and high groups of STS patients (training set χ2=73.90, P<0.001; validation set χ2=18.70, P<0.001). Conclusion:The omics nomogram based on MRI and digital pathology images has favorable performance for the prediction of STS recurrence risk.
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Objective:To observe the clinical efficacy of angiotensin-receptor neprilysin inhibitors (ARNI) in the treatment of maintenance hemodialysis (MHD) with heart failure.Methods:The clinical data of heart failure patients who accepted MHD in Central China Fuwai Hospital were retrospectively collected. All patients accepted regular treatments of heart failure, and then the treatment group was treated with ARNI, while the control group was treated with valsartan. The treatment course was 6 months. The cardiac parameters: left ventricular ejection fraction (LVEF), left ventricular end-diastolic dimension (LVEDD), left ventricular end-systolic dimension (LVESD), pulmonary artery pressure, right ventricular end-diastolic dimension (RVED), right atrial end-diastolic dimension (RAED), N-terminal pro-B-type natriuretic peptide (NT-pro BNP), and serum potassium were collected and compared between the two groups. Multivariate ordered logistic regression analysis was adopted to analyze the influencing factors of treatment effect.Results:A total of 60 MHD patients with heart failure were enrolled with age of (53.92±11.88) years old, 37 males (61.7%), dialysis age of (27.83±12.92) months, and blood pressure of (154.22±15.27) mmHg/(85.43±12.31) mmHg. (1) There was no significant difference of the clinical data and cardiac parameters between the treatment group ( n=30) and the control group ( n=30) before treatment (all P>0.05); (2) After treatment of 6 months, the total effective rate [28/30(93.3%)] in the treatment group was significantly higher than that in the control group [20/30(66.7%)] and the rehospitalization rate [2/30(6.7%)] in the treatment group was significantly lower than that in the control group [10/30(33.3%)] (both P<0.05); (3) After treatment of 6 months, LVEF, LVEDD, LVESD, pulmonary artery pressure, RVED, RAED, NT-pro BNP, and blood pressure were all improved significantly compared with the baseline in both groups (all P<0.05) and there was no significant difference of serum potassium and body weight before and after treatment in the two groups (all P>0.05); (4) After treatment of 6 months, LVEF in the treatment group was higher than that in the control group and LVEDD, LVESD, pulmonary artery pressure, NT-pro BNP, and blood pressure in the treatment group were lower than those in the control group (all P<0.05). There was no significant difference of RVED, RAED, serum potassium and body weight between the two groups after treatment (all P>0.05); (5)The difference values before and after treatment of LVEF, LVEDD, LVESD, NT-pro BNP, body weight, systolic blood pressure, and diastolic blood pressure were different between the two groups (all P<0.05); (6)Therapy method ( β=-1.863, 95% CI -2.948-0.777, P=0.001) and residual urine ( β=-1.686, 95% CI -3.079- -0.293, P=0.018) were independent influencing factors of treatment effect (the treatment effect of ARNI was better than that of valsartan; the treatment effect of patients with normal urine volume was better than that of patients with oliguria and anuria). Conclusions:ARNI can effectively improve cardiac function in MHD patients with heart failure, inhibit ventricular remodeling, and improve disease prognosis.