Objective To screen the predictors of early initiation of continuous renal replacement therapy(CRRT)in children with sepsis and construct a linear model,based on LASSO regression analysis.Methods A total of 55 children diagnosed with sepsis at Jiangmen Maternity and Child Health Care Hospital from April 2023 to February 2025.They were divided into CRRT group(n=17)and non-CRRT group(n=38)based on CRRT treatment usage.Using LASSO regression screening,predictive factors were identified and a Logistic regression model was established.The model's performance was evaluated using receiver operating characteristic(ROC)curve and calibration curve.Results There were significant differences in age,respiratory rate,body temperature,and mechanical ventilation between two groups(P＜0.05).Through LASSO regression analysis,four independent predictors of respiratory rate,body temperature,blood glucose,and C-reactive protein were identified.The constructed model demonstrated an area under the ROC curve of 0.94(95％CI:0.87-1.00),indicating good calibration accuracy.Conclusion The column line model based on body temperature,respiratory rate,blood glucose and C-reactive protein can effectively predict the need for early initiation of CRRT in sepsis children.

Objective To screen the predictors of early initiation of continuous renal replacement therapy(CRRT)in children with sepsis and construct a linear model,based on LASSO regression analysis.Methods A total of 55 children diagnosed with sepsis at Jiangmen Maternity and Child Health Care Hospital from April 2023 to February 2025.They were divided into CRRT group(n=17)and non-CRRT group(n=38)based on CRRT treatment usage.Using LASSO regression screening,predictive factors were identified and a Logistic regression model was established.The model's performance was evaluated using receiver operating characteristic(ROC)curve and calibration curve.Results There were significant differences in age,respiratory rate,body temperature,and mechanical ventilation between two groups(P＜0.05).Through LASSO regression analysis,four independent predictors of respiratory rate,body temperature,blood glucose,and C-reactive protein were identified.The constructed model demonstrated an area under the ROC curve of 0.94(95％CI:0.87-1.00),indicating good calibration accuracy.Conclusion The column line model based on body temperature,respiratory rate,blood glucose and C-reactive protein can effectively predict the need for early initiation of CRRT in sepsis children.

Autoimmune diseases (ADs) increase the risk of non-Hodgkin's lymphoma and contribute to poor prognosis of patients. However, the association between immunologic markers and clinical outcome has rarely been investigated. This study aims to analyze the prognostic value of pretreatment immunologic markers in newly diagnosed patients with diffuse large B-cell lymphoma (DLBCL). We retrospectively reviewed the data on 502 patients with DLBCL treated in our institution from January 2013 to March 2018. Survival functions were estimated using Kaplan-Meier method and Cox regression model. The 3-year progression free survival (PFS) and overall survival (OS) rates were 70.2% and 80.9%, respectively, and the complete remission (CR) rate was 78.1%. Among the patients, those with multiple ( ⩾ 3) abnormal immunologic markers had significantly shorter 3-year PFS (52.7% vs. 77.3%, P < 0.001) and OS (68.5% vs. 85.8%, P = 0.001) than those without multiple abnormal immunologic markers. Multivariate analysis revealed that the presence of multiple abnormal immunologic markers and the elevated serum levels of lactate dehydrogenase were the independent adverse prognostic factors for PFS (P = 0.008, P < 0.001) and OS (P = 0.003, P < 0.001). Meanwhile, advanced Ann Arbor stage was an independent adverse prognostic factor for PFS (P = 0.001) and age > 60 years for OS (P = 0.014). In conclusion, the immunologic status was closely related to lymphoma progression, and this study provides new insights into the risk stratification of patients with DLBCL.
Adult ; Aged ; Antineoplastic Combined Chemotherapy Protocols ; therapeutic use ; Biomarkers ; China ; Disease Progression ; Female ; Humans ; Immunotherapy ; methods ; Lymphoma, Large B-Cell, Diffuse ; mortality ; therapy ; Male ; Middle Aged ; Multivariate Analysis ; Prognosis ; Retrospective Studies ; Survival Analysis ; Survival Rate ; Young Adult

Background and purpose:Papillary renal cell carcinomas (PRCC) is relatively infrequent, and there are few related researches in China. This study aimed to summarize the clinical and pathological features of PRCC, and evaluate prognostic factors for patients treated with surgery.Methods:A total of 64 patients who under-went surgery for PRCC were retrospectively assessed. PRCC tissue slides from each patient were reviewed for type (ⅠorⅡ), grade, TNM stage, coagulative tumor necrosis and microvascular invasion. We estimated overall survival using the Kaplan-Meier method. Multivariate analysis was done according to the Cox proportional hazards model of factors statistically signiifcant on univariate analysis. Results:The incidence rate of ENE was 6.04%in RCC, the median age was 55 (range 22 to 78) years. The comparison of the 22 (534.4%) typeⅠPRCCs and 42 (65.6%) typeⅡPRCCs revealed that typeⅡtumors were associated with a greater stage and grade more often. The median follow-up was 46 months (range 19 to 133). Of the 64 patients, 14 died, (4.5%) with typeⅠand 13 (31.0%) with typeⅡtumors (P=0.018). The overall survival rate was 85.7%in typeⅠtumors and 55.8%in typeⅡtumors, respectively. Univariate analysis identiifed symptoms at presentation, tumor type, TNM stage and grade as prognostic factors. On multivariate analysis only metastatic RCC remained associated with decreased overall survival (HR:14.78, P=0.004). Conclusion:The per-centage of PRCC is lower and typeⅡPRCC is relatively common compared with foreign data. Metastasis at diagnosis is an independent predictive parameter of overall survival in Chinese patients with PRCC.