OBJECTIVES: To explore the value of serum cystatin C (CysC) levels in evaluating renal prognosis in IgA nephropathy (IgAN) patients. METHODS: We retrospectively collected the clinical data of IgAN patients diagnosed by renal biopsy at Guangdong Provincial People's Hospital from January, 2014 to December, 2018. Based on baseline serum CysC levels, the patients were divided into high serum CysC (>1.03 mg/L) group and normal serum CysC (≤1.03 mg/L) group. The composite endpoint for poor renal prognosis was defined as ≥50% decline in estimated glomerular filtration rate (eGFR) and/or progression to end-stage renal disease (ESRD). Lasso regression, multivariate Cox regression and Kaplan-Meier survival analysis were used to identify the risk factors and compare renal survival rates between the two groups. Smooth curves fitting and threshold effect analysis were used to explore the relationship between serum CysC levels and the outcomes. A nomogram model was constructed and its predictive performance was evaluated using concordance index, calibration curve, receiver operating characteristic (ROC) curve and the area under curve (AUC). RESULTS: A total of 356 IgAN patients were enrolled, who were followed up for 4.65±0.93 years. The composite endpoint occurred in 74 patients. High serum CysC was identified as an independent risk factor for poor renal prognosis in IgAN (HR=2.142, 95% CI 1.222 to 3.755), and the patients with high serum CysC levels had a lower renal survival rate (Log-rank χ²=47.970, P<0.001). In patients with serum CysC below 2.12 mg/L, a higher CysC level was associated with an increased risk of poor renal prognosis (β=3.487, 95% CI: 2.561-4.413, P<0.001), while above this level, the increase of the risk was not significant (β=0.676, 95% CI: -0.642-1.995, P=0.315). The nomogram model based on serum CysC and 3 other independent risk factors demonstrated good internal validity with a concordance index of 0.873 (95% CI: 0.839-0.907) and an AUC of 0.909 (95% CI: 0.873-0.945). CONCLUSIONS Serum CysC levels are associated with renal prognosis in IgAN patients, and high serum CysC an independent risk factor for poor renal prognosis.
Humans ; Glomerulonephritis, IGA/diagnosis* ; Cystatin C/blood* ; Prognosis ; Risk Factors ; Retrospective Studies ; Glomerular Filtration Rate ; Kidney Failure, Chronic ; Male ; Female ; Adult ; Nomograms ; Middle Aged

Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

Objective To develop a nurse-led dynamic monitoring protocol for fluid responsiveness and to evaluate its effectiveness in preventing fluid accumulation syndrome in patients with septic shock.Methods A nurse-led dynamic monitoring protocol for fluid responsiveness was developed through literature review and expert panel discussion.Using convenience sampling,160 patients with septic shock admitted to the emergency department of a tertiary hospital in Hangzhou,Zhejiang Province,were enrolled.According to admission period,80 patients admitted from November 2023 to August 2024 were assigned to an intervention group,and 80 patients admitted from January 2023 to October 2023 were assigned to a control group.The intervention group received the nurse-led dynamic monitoring in addition to routine care,while the control group received routine care and conventional fluid responsiveness monitoring.The therapeutic outcomes and incidence of complications were compared between the 2 groups.Results All 80 patients in each group completed the study.The intervention group demonstrated higher lactate clearance rates at 6 and 24 hours after fluid resuscitation,lower incidences of acute pulmonary edema and fluid accumulation syndrome,and shortened durations of mechanical ventilation and ICU stay(all P＜0.05)compared to the control group.There was no statistically significant difference in 28-day mortality between the 2 groups(P=0.212).Conclusion The nurse-led dynamic monitoring protocol for fluid responsiveness in patients with septic shock is both scientific and practical.Its implementation can effectively improve lactate clearance,reduce the incidence of fluid accumulation syndrome and acute pulmonary edema,and shorten the duration of mechanical ventilation and ICU stay.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective To develop a nurse-led dynamic monitoring protocol for fluid responsiveness and to evaluate its effectiveness in preventing fluid accumulation syndrome in patients with septic shock.Methods A nurse-led dynamic monitoring protocol for fluid responsiveness was developed through literature review and expert panel discussion.Using convenience sampling,160 patients with septic shock admitted to the emergency department of a tertiary hospital in Hangzhou,Zhejiang Province,were enrolled.According to admission period,80 patients admitted from November 2023 to August 2024 were assigned to an intervention group,and 80 patients admitted from January 2023 to October 2023 were assigned to a control group.The intervention group received the nurse-led dynamic monitoring in addition to routine care,while the control group received routine care and conventional fluid responsiveness monitoring.The therapeutic outcomes and incidence of complications were compared between the 2 groups.Results All 80 patients in each group completed the study.The intervention group demonstrated higher lactate clearance rates at 6 and 24 hours after fluid resuscitation,lower incidences of acute pulmonary edema and fluid accumulation syndrome,and shortened durations of mechanical ventilation and ICU stay(all P＜0.05)compared to the control group.There was no statistically significant difference in 28-day mortality between the 2 groups(P=0.212).Conclusion The nurse-led dynamic monitoring protocol for fluid responsiveness in patients with septic shock is both scientific and practical.Its implementation can effectively improve lactate clearance,reduce the incidence of fluid accumulation syndrome and acute pulmonary edema,and shorten the duration of mechanical ventilation and ICU stay.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Fetal monitoring is an essential component of the prenatal examination. With electronic fetal heart monitoring, clinicians can effectively monitor the intrauterine situation of the fetus, promptly detect fetal distress, and intervene early to reduce the occurrence of adverse outcomes in newborns. In recent years, the leaps in internet technology have enabled the widespread utilization of remote electronic fetal heart monitoring based on ultrasound technology. This paper reviews the application, effectiveness, and safety of remote fetal heart monitoring, and the satisfaction level of healthcare professionals with this technology in recent years and compares it with traditional fetal heart monitoring, aiming to provide reference and insights for clinical applications of remote fetal heart monitoring.

Objective To investigate the correlation between serum Sortilin(SORT)and insulin-like growth factor 1(IGF-1)levels and the occurrence and prognosis of cardiovascular disease(CVD)in maintenance hemodialysis(MHD)patients with end-stage renal disease(ESRD).Methods Eighty-four MHD patients with ESRD diagnosed and treated in the First People's Hospital of Kunshan from February 2017 to February 2018 were selected as the MHD group.With 5 years of follow-up,the MHD group was divided into the CVD group(n=35)and the non-CVD group(n=49)according to whether they had concurrent CVD,while 60 healthy individuals who underwent physical examination during the same period were used as the control group.Enzyme-linked immunosorbent assay was used to detect serum SORT and IGF-1 levels.Multivariate logistic regression analysis was conducted to investigate the influencing factors of CVD in MHD patients with ESRD.The predictive value of serum SORT and IGF-1 for CVD in MHD patients with ESRD was analyzed by the receiver operating characteristic curve.The correlation between serum SORT and IGF-1 levels and the survival rate of MHD patients with ESRD was analyzed by Kaplan-Meier survival analysis.Results Compared to the control group,the MHD group had higher serum SORT level(413.37±55.41 ng/L vs 81.27±24.69 ng/L)and lower serum IGF-1 level(117.64±18.42 μg/L vs 421.34±14.58 μg/L),with significant differences(t=43.416,106.122,all P＜0.001).The age,dialysis time,and serum SORT level(488.73±55.41ng/L vs 359.54±58.29ng/L)of patients in the CVD group were higher than those in the non-CVD group,while serum IGF-1 level(88.25±17.92 μg/L vs 138.63±19.55μg/L)was lower than that of the non-CVD group,with significant differences(t=2.896,2.588,10.221,12.050,all P＜0.05).Age(OR=1.548,P＜0.001),dialysis time(OR=1.616,P＜0.001)and serum SORT(OR=1.353,P＜0.001)were independent risk factors for CVD in MHD patients,while serum IGF-1(OR=0.742,P=0.000)was a protective factor for CVD in MHD patients.The area under the curve(95％CI)of the combined serum SORT and IGF-1 test for predicting concomitant CVD in MHD patients was 0.931(95％CI:0.895～0.961),which was greater than that of the single detection[0.843(0.810～0.889),0.887(0.833～0.921)],and the differences were statistically significant(Z=5.117,4.895,all P＜0.001).The five-year cumulative survival rate of MHD patients in the SORT high expression group(48.39％)was lower than that in the low expression group(84.81％),while the five-year cumulative survival rate of MHD patients in the IGF-1 low expression group(51.52％)was lower than that in the high expression group(84.31％),and the differences were significant(Log-Rank x2=18.670,8.900,all P＜0.01).Conclusion The serum SORT levels increased while IGF-1 levels decreased in MHD patients.The combined detection of the two has high predictive value for the occurrence of CVD in MHD patients with ESRD,which is associated with poor survival prognosis in MHD patients with ESRD.