Objective:To identify the risk factors, and develop and validate a risk prediction model for abnormal bone mass in end-stage renal disease (ESRD) patients.Methods:It was a retrospective cross-sectional study. The clinical and laboratory data of ESRD patients who were hospitalized in the Department of Nephrology, Zhongda Hospital Affiliated to Southeast University from January 2022 to May 2023 were collected retrospectively. The patients were randomly divided into training and validation cohorts at a ratio of 7∶3. They were further divided into normal and abnormal bone mass groups according to the T value measured by dual-energy X-ray absorptiometry (DXA). Then, backward stepwise regression and least absolute shrinkage and selection operator (LASSO) were respectively used to develop the risk prediction model for abnormal bone mass in ESRD patients. Akaike information criterion (AIC), bayesian information criterion (BIC), and accuracy were used to evaluate the performance of these two models, after which the preferable model was selected. Moreover, the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test, and decision curve analyses (DCA) were applied to evaluate the diagnostic performance of the preferable model. Finally, a dynamic nomogram for individual assessment was constructed based on the preferable model.Results:A total of 254 ESRD patients were enrolled, including 160 (63.0%) males, 161 (63.4%) hemodialysis patients, and 202 (79.5%) patients with abnormal bone mass. There was no significant difference in the prevalence of abnormal bone mass between training group ( n=178) and validation group ( n=76) (79.2% vs. 80.3%, χ2=0.036, P=0.849). The final variables and variable parameters included in the LASSO and stepwise regression models were the same, which were five variables: age, body mass index, hypertension, diabetes, and osteocalcin. Both models also had the same AIC, BIC, and accuracy in the training group, which were 113.45, 132.54, and 0.837, respectively. Therefore, the LASSO model and the stepwise regression model performed consistently in this study and could be considered as the same model, hereafter referred to as the Model. The Model's area under the ROC curve in the training and validation groups was 0.923 (95% CI 0.884-0.963) and 0.809 (95% CI 0.675-0.943), respectively. The optimal cutoff for the training group was 0.858, with a sensitivity of 0.801, a specificity of 0.973 and an accuracy of 0.837; when this cutoff value was taken, the validation group's sensitivity was 0.689, specificity was 0.800, and accuracy was 0.711. The Model demonstrated excellent performance in the calibration curve, Hosmer-Lemeshow test ( P>0.05), and DCA. Finally, based on the five predictors of the Model, a dynamic nomogram was created for clinicians to enter baseline clinical parameters for early identification of high-risk patients with abnormal bone mass. Conclusions:A dynamic nomogram for abnormal bone mass in ESRD patients is constructed with good predictive performance based on the prediction model, which can be used as a practical approach for the personalized early screening and auxiliary diagnosis of the potential risk factors and assist physicians in making a personalized diagnosis for patients.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

Objective To construct a structural equation model to analyze the effect of various factors on the quality of life in stroke patients.Methods In this cross-sectional study,a total of 657 stroke patients from 2 ter-tiary A hospitals in Shanghai were enrolled as investigation subjects via convenience sampling methodology.General information questionnaire,Sense of Coherence Scale-13,Perceived Social Support Scale,Medical Coping Modes Questionnaire,National Institutes of Health Stroke Scale,Self-Esteem Scale and Stroke-Specific Quality of Life were utilized as the investigating tools;Mplus 7.4 was used to construct a structural equation model.Results The aver age score of quality of life in stroke patients was(178.30±30.30);neurological status,self-esteem were negatively cor-related with quality of life(P＜0.05);sense of coherence,social support,coping style were positively correlated with quality of life(P＜0.05);sense of coherence,taking a confrontational approach for coping,yielding and neurological status had a direct impact on quality of life(path coefficients were 0.471,0.169、0.135,-0.089,P＜0.05);social sup-port,self-esteem,sense of coherence and neurological status had an indirect impact on quality of life(path coefficients were 0.232,0.108,0.058,-0.058,P＜0.001).Conclusion The quality of life in stroke patients is influenced by multi-ple factors interactively,and sense of coherence is an important factor affecting the quality of life;adopting a confron-tational approach as coping styles,good social support and high self-esteem can improve the level of quality of life.

Sepsis is a clinical syndrome manifested by organ dysfunction due to disordered inflammatory response after severe infection.The occurrence, development and prognosis of sepsis are closely related to the immune regulation of the body.The essence of sepsis is that the state of excessive proinflammatory response in the early stage gradually progresses to the state of immunosuppression in the late stage, which leads to the body′s inability to resist inflammation and endangers life.As a highly conserved signaling pathway, Notch pathway has the ability to regulate cell growth and differentiation, and participates in the occurrence and development of various inflammatory diseases.In recent years, the important role of Notch signaling pathway in the occurrence and development of sepsis has attracted extensive attention.This article mainly reviews the role of Notch signaling pathway in immune regulation of sepsis.

Objective:To evaluate the association of HbA 1C level and variability with annual decline in glomerular filtration rate in elderly patients with type 2 diabetes. Methods:A total of 527 elderly type 2 diabetic patients with baseline estimated glomerular filtration rate(eGFR)≥60 mL·min -1·(1.73 m 2) -1 at the diabetes center of a tertiary hospital in Jiangsu province were included and followed up. The mean value and the variability of HbA 1C, including standard deviation(HbA 1C-SD), variation coefficient(HbA 1C-CV), and adjusted standard deviation(Adj-HbA 1C-SD) were calculated. According to the annual decreased rate of eGFR, the patients were divided into △eGFR>5% group and △eGFR≤5% group. Cox proportional risk regression model was used to evaluate the relationship between HbA 1C variability and the risk of decreased glomerular filtration rate. Results:With a mean follow-up time of 19 months, there were 176 patients whose △eGFR>5%. Compared with △eGFR≤5% group, the HbA 1C-mean and HbA 1C variability were significantly higher in △eGFR>5% group( P<0.05). Cox regression analysis showed that HbA 1C-mean, HbA 1C-SD, HbA 1C-CV, and Adj-HbA 1C-SD were significantly correlated with decreased glomerular filtration rate. After adjustment for age, gender, HbA 1C-mean, and other factors, only Adj-HbA 1C-SD was correlated with renal insufficiency [ HR=3.32(1.68-6.57)]. Conclusions:HbA 1C variability is independently associated with annual decline in glomerular filtration rate in elderly patients with type 2 diabetes. The Adj-HbA 1C-SD is the most sensitive indicator in predicting decreased glomerular filtration rate.

Objective:To analyze the role of perfusion index(PI)in assessing the severity of neonatal illnesses.Methods:A total of 502 newborns admitted to the Department of Neonatology within 24 hours of birth at Xinxiang Central Hospital from October 2018 to July 2019 were recruited.Neonatal critical illness score(NCIS)was graded within 24 hours of admission, and newborns were categorized into non-critical(NCIS>90 scores), critical(NCIS 70-90 scores)and extremely critical(NCIS<70 scores). PI was monitored in all newborns within 24 hours of birth in a resting state.A total of 502 PIs were recorded, including 341 cases of non-critical, 110 cases of critical and 51 cases of extremely critical.Results:The medium PI [ M( P25, P75)] of newborns in non-critical, critical and extremely critical groups were 1.80(1.40, 2.60), 0.96(0.74, 1.43)and 0.65(0.41, 1.10), respectively.PI values in extremely critical group was significantly lower than those in critical group and non-critical group( P<0.05). The medium PI [ M( P25, P75)] of full-term newborns, moderate/late preterm newborns and extremely/very preterm newborns were 1.70(1.20, 2.70), 1.60(1.10, 2.30) and 1.35(0.80, 2.30), respectively.PI in full-term newborns was significantly higher than those in moderate/late preterm newborns and extremely/very preterm newborns( P<0.05). PI was moderately positively correlated with NCIS in newborns( r=0.791, P<0.01). The area under the receiver operating characteristic curve of NCIS predicted by PI value was 0.846, and the prediction sensitivity and specificity were 85.0% and 70.8% when PI was 0.56. Conclusion:PI is correlated with NCIS in newborns, which is able to reflect the severity of neonatal illnesses.A low PI indicates severe conditions of neonatal illnesses.

Objective:To understand the degree of professional autonomy of nurses in Pediatric Nursing Alliance and the status of pediatric nursing practice environment, which providing guidance for the development of a series of specialized training in the alliance.Methods:Stratified random sampling method was used to conduct a questionnaire survey on nursing staff of different professional levels in Pediatric Nursing Alliance, which through the questionnaire star by using the questionnaire general information and training demand questionnaire, nurses practice professional autonomy scale, pediatric nursing staff structural empowerment questionnaire and nursing practice influencing factors questionnaire through the questionnaire star.Results:The total score for professional autonomy of nurses in the pediatric alliance was 192.66±18.63, the structural empowerment ( OR=1.137, 95% CI=1.084-1.194), lack of caring team ( OR=2.763, 95% CI=1.443-5.292) and performance evaluation ( OR=0.498, 95% CI= 0.274-0.908), specialized education and professional experience ( OR=0.548, 95% CI= 0.334-0.871) were affecting the clinical nursing practice. Conclusion:The degree of professional autonomy of nurses in the Pediatric Nursing Alliance is in the middle and high level. Key factors affecting nursing practice including insufficient structural empowerment, lack of opportunities to continue learning, lack of nursing teams, lack of effectiveness evaluation and the lack of specialized education and work experience, which guiding the pediatric nursing alliance to continuously deepen the connotation of pediatric nursing professional and innovative team collaboration new model, utilize the advantages of resources to actively cultivate specialized nursing research personnel, carry out multi-disciplinary and cross-disciplinary cooperation, improve the nursing quality evaluation index system, so as to enhance the professional nursing service capacity and value.