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Timely identification of elderly patients who are at risk of developing intraoperative hypothermia (IH) is imperative to enable appropriate interventions. This study aimed to develop a nomogram for predicting the risk of IH in elderly patients undergoing resection of craniocerebral tumor, and to validate its effectiveness. Elderly patients who underwent craniocerebral tumor resection at a large tertiary hospital in eastern China between January 2019 and December 2022 were included (n = 988). The study population was divided into a training set and a validation set by time period. Risk factors identified through the Least Absolute Shrinkage and Selection Operator method and logistic regression analysis were used to establish the nomogram. The model was validated internally by Bootstrap method and externally by validation set through receiver operating characteristic curve analysis, Hosmer-Lemeshow test, and decision curve analysis. A total of 273 (27.6%) patients developed IH. Duration of anesthesia (P < 0.001), blood loss (P < 0.001), preoperative temperature (P < 0.001), tumor location (P < 0.001), age (P < 0.05), and mean arterial pressure (P < 0.05) were identified as independent risk factors for IH. A nomogram integrating these 6 factors was constructed. The area under the curve was 0.773 (95% confidence interval: 0.735–0.811) (70.5% specificity and 75.0% sensitivity), indicating good predictive performance. The decision curve analysis demonstrated the clinical benefit of using the nomogram. Our model showed good performance in identifying elderly patients who are at high risk of developing IH during craniocerebral tumor resection. The nomogram can help inform timely preventive interventions. [ABSTRACT FROM AUTHOR]

To investigate and define the concept of perioperative sleep disturbance (PSD) among surgical patients, with the goal of aiding clinical practice and research. Walker and Avant’s eight-step approach of concept analysis was applied. A systematic search of English literature was conducted in the following databases: PubMed, Web of Science, and CINAHL, with a time restriction from 2010 to August 2023. Based on the 54 eligible studies, the attributes of PSD in surgical patients were identified as individualized symptom manifestation, difficulty initiating and/or maintaining sleep, and altered sleep patterns. The antecedents included poor psychological state, inaccurate perception, surgery and/or anesthesia-related physiological changes, and environmental interference. PSD in surgical patients was found to result in physical discomfort, psychological disorder, impaired neurocognitive function, and prolonged recovery. A clearly defined and distinguishable concept of PSD in surgical patients was achieved through concept analysis, which provides a conceptual basis for future development in both clinical practice and related research. [ABSTRACT FROM AUTHOR]