Objective To explore the effect of responsibility system of family doctors( RSFD) for community management of the patients with diabetic retinopathy ( DR ) .Methods Fifty -two cases with non -proliferative diabetic retinopathy( NPDR) found in annual health examination in community health care centers were selected and randomly divided into intervention group(30 cases) and control group(22 cases).The intervention group received RSFD service mode and the control group received conventional management mode for 1 year.Patients'visual acuity, fundus,fasting blood-glucose(FBG),glycosylated haemoglobin(HbA1c) were observed and compared before and after intervention.Results In this study,the efficacy in improving patients'visual acuity and retinopathy was 73.3%in the intervention group and 45.5%in the control group,there was statistically significant difference between the two groups(χ2 =4.168,P=0.041).Before intervention,the control rates of patients'FBG were 36.4% and 30.0%respectively,and HbA1c was 27.3%and 33.3%.There were no statistically significant differences between the two groups(P>0.05).After intervention,the control rates of patients'FBG and HbA1c were 86.6% and 80.0% in intervention group,and 59.1%and 54.5%in the control group,there were statistically significant differences between the two groups (χ2 =5.147,P=0.023;χ2 =3.861,P=0.049).Conclusion RSFD service mode was conductive to control patients'blood sugar and improve visual acuity and retinopathy,we could disseminate and apply it to manage-ment of DR in community.

The measurement of intramedullary pressure is particularly important in the research of spinal cord injury. This article ana-lyzed the influence factors and the measurement methods of intramedullary pressure. The influence factors included edema, vascular regula-tion and bleeding, spinal dural, pia mater spinalis, cerebrospinal fluid, canalis vertebralis and body position, etc. The measurement methods included direct measurement methods, as the sensor placed in the parenchyma of spinal cord, intradural extramedullary or lumbar catheter, and measuring in vitro, and indirect measurement methods, as computer modeling and intraocular pressure measuring.

With the development of science and technology, and the emergence of artificial intelligence, wearable technology is becom-ing a hot topic in the field of rehabilitation medicine. Wearable technology is characterized by miniaturization, intelligency and convenience, and has been widely researched and applied in many fields, such as neurological rehabilitation, orthopaedic rehabilitation, spinal cord injury rehabilitation and rehabilitation for senile degenerative diseases. The further research may focus on the reliability of signals under dynamic monitoring, the comfortable feeling during long-term use of wearable devices, the data security based on personal privacy, and so on.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Two­photon microscopy is a new technique which combines laser scanning con-focal microscopy and two-photon excitation technique. Two-photon fluorescence microscopy has the advantages of little light damage, small bleaching area, strong penetrability, high resolution, high fluorescence collection efficiency, and high image contrast. It is suitable for dark field imaging and multi-labeled compound measurement, and has been widely used in small animals in vivo optical imaging, such as research for tumour, gene therapy, stem cells, drug development, spinal cord injury, etc.

Tethered cord syndrome (TCS) is a progressive neurodevelopmental disorder. The TCS model was established mainly using physical and chemical Methods and surgery, but remained problems in failing to fully reflect the progressive course of the human TCS. In the future, it may select a single etiological factor to analyze, and gradually add other factors until we have deeper understanding of this disease.