Objective To explore the design and clinical application of the bedsheet with postural markers during gastroscopy.Methods A total of 100 outpatients who underwent gastroscopy for the first time in Digestive Endoscopy Center of The First Affiliated Hospital of Naval Medical University from November to December 2021 were selected as research objects by convenience sampling coin method.They were randomly divided into experimental group(n=54)and control group(n=46).The bedsheets with postural markers were used in the experimental group,and ordinary disposable sheets were used in the control group during gastroscopy.One-time success rate of postural placement,time from guidance to completion of postural placement,and patient satisfaction were compared between the 2 groups.Results The time from guidance to completion of postural placement in the experimental group was shorter than that in the control group([7.07±2.44]vs[18.36±5.12]),and the one-time success rate of postural placement(96.30% vs 13.04% )and patient satisfaction([95.76±4.32]vs[68.46±7.59])in the experimental group were significantly higher than those in the control group(P<0.01).Conclusion The clinical application of bedsheets with postural markers during gastroscopy can significantly increase the efficiency of postural placement,shorten the guidance time before operation,maximize the utilization rate of examination beds,and improve patient satisfaction.

Objective:To analyze risk factors of dry eye in patients with type 2 diabetic retinopathy, construct a dry eye risk nomogram model and conduct external verification.Methods:The study was a cross-sectional study. A total of 366 patients with type 2 diabetic retinopathy treated in the Ophthalmology Clinic of the First Affiliated Hospital of Naval Medical University from March 2020 to November 2021 were conveniently selected as the research objects. They were divided into the modeling group and the validation group by random number table method, with 183 cases in each group. The prevalence of dry eye in patients with type 2 diabetic retinopathy was counted. The risk factors of dry eye were screened by univariate analysis and binomial Logistic regression analysis, and the nomogram model of dry eye risk was constructed based on the data of the patients in the modeling group. Calibration curve and receiver operating characteristic (ROC) curve analysis were performed on the data of patients in the validation group to evaluate the calibration and discrimination of the nomogram model.Results:The prevalence of dry eye in patients with type 2 diabetic retinopathy was 57.38% (210/366) . More than 60 years old, more than 4 hours of daily screen viewing time, duration of diabetes longer than or equal to 5 years, glycated hemoglobin greater than equal to 7.0% and diabetic retinopathy grade of severe non-proliferative type and proliferative type were risk factors for dry eye in patients with type 2 diabetic retinopathy ( P<0.05) , and sleep time greater than or equal to 7 hours per night was a protective factor ( P<0.01) . The χ 2 value of Hosmer-Lemeshow test of the nomogram model of dry eye risk constructed by six factors was 14.280 ( P=0.075) , showing that the actual observation curve was consistent with the predicted curve. The area under the ROC curve was 0.815 (95% CI: 0.750-0.880) . Conclusions:Patients with type 2 diabetic retinopathy have a high prevalence of dry eye. More than 60 years old, more than 4 hours of daily screen viewing time, duration of diabetes longer than or equal to 5 years, glycated hemoglobin greater than equal to 7.0% and diabetic retinopathy grade of severe non-proliferative type and proliferative type are risk factors for dry eye in patients with type 2 diabetic retinopathy, and sleep time greater than or equal to 7 hours per night is a protective factor. The nomogram model constructed in this study has good calibration and discrimination, which can help medical staff identify the risk of dry eye as early as possible.