Investigation On Sleep Quality Of Elderly Surgical Patients During Hospitalization And Preliminary Exploration Of Prediction

Objective:Sleep disorders in elderly hospitalized patients delay disease recovery and increase hospital stay.This study provides a theoretical basis for timely screening and development of interventions by cross sectionally investigating the prevalence of sleep disorders during hospitalization in surgical geriatric patients,and initially establishing and validating a prediction model for sleep disorders in elderly inpatients.Methods:In this study,the Athens Insomnia Scale(AIS)was used to investigate sleep quality in 226 elderly inpatients admitted to a surgical ward between October and December 2022.Factors affecting sleep disturbance were analyzed by lasso regression model and multivariate logistic regression model and nomograms were constructed.Bootstrap method was employed for internal validation,and the accuracy of the nomogram was evaluated by ROC curve and calibration curve.Results:Our results showed that 35.40%of surgical elderly patients suffered from sleep disorders during hospitalization,mainly characterized by prolonged sleep latency,increased frequency of nocturnal awakenings,and decreased total sleep time.Factors that significantly(P<0.05)influenced whether the surgical elderly patients suffered from sleep disturbance during hospitalization were:history of insomnia,anxiety score,depression score,surgery,pain score,and length of hospital stay.A nomogram was constructed based on the lasso regression model and the results of logistic regression analysis.After internal validation,the nomogram showed a good predictive value(AUC=0.753),and the calibration curve proved that the predicted probability of the model fit well with the actual probability.Conclusion:Shortening sleep latency and reducing the frequency of nocturnal awakenings may represent important strategies to improve sleep quality in elderly perioperative patients.The practical nomogram was able to predict sleep disorders in elderly patients,which could help in early recognition and further diagnostic confirmation and treatment.History of insomnia,anxiety score,depression score,surgery,pain score,and duration of hospitalization were independent risk factors for sleep disturbance during hospitalization in surgical elderly patients.