ABSTRACT
INTRODUCTION: The risk of surgery and postoperative complications increases greatly in frail older patients with sarcopenia. The purpose of this study is to explore the correlation between myostatin (MSTN) levels and cognitive function and postoperative pulmonary complications (PPCs) in older patients undergoing thoracoscopic lobectomy and to determine whether MSTN could be used to predict the risk of postoperative complications and cognitive impairment. METHODS: A prospective observational study was conducted at the First Affiliated Hospital of Bengbu Medical College, China, between January 2023 and June 2023. The risk factors of PPCs and postoperative cognitive impairment were studied using backward stepwise logistic regression analysis. The independent factors were formed into a linear regression equation to construct a risk score model for each patient. The 122 patients who participated in the study were divided into two groups, a low-level group and a high-level group, based on an MSTN level cut-off; the preoperative MSTN cut-off values was 25.55 ng/mL for cognitive dysfunction and 22.29 ng/mL for PPCs. The PPCs and cognitive function of the groups were compared. RESULTS: Preoperative MSTN was confirmed as a risk factor for postoperative cognitive dysfunction and PPCs. After surgery, the proportion of patients with cognitive impairment in the high-level group was significantly higher than in the low-level group (P < 0.001). In the high-level group, the incidence of respiratory tract infections was 17.9% higher (P = 0.021), hypoxaemia was 20.5% higher (P = 0.001) and respiratory failure was 14.4% higher (P = 0.012) than in the low-level group. In addition, a high level of MSTN increased the length of hospital stay (P < 0.001) and decreased the Barthel Index score (P < 0.001). CONCLUSIONS: The study findings suggest that MSTN could be used as an index to predict complications and cognitive impairment after thoracoscopic lobectomy in older patients with sarcopenia and to provide evidence for reducing postoperative cognitive impairment and PPCs.
ABSTRACT
OBJECTIVE: To construct and internally validate a nomogram that predicts the likelihood of postoperative delirium in a cohort of elderly individuals undergoing hip arthroplasty. METHODS: Data for a total of 681 elderly patients underwent hip arthroplasty were retrospectively collected and divided into a model (n = 477) and a validation cohort (n = 204) according to the principle of 7:3 distribution temporally. The assessment of postoperative cognitive function was conducted through the utilization of The Confusion Assessment Method (CAM). The nomogram model for postoperative cognitive impairments was established by a combination of Lasso regression and logistic regression. The receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were used to evaluate the performance. RESULTS: The nomogram utilized various predictors, including age, body mass index (BMI), education, preoperative Barthel Index, preoperative hemoglobin level, history of diabetes, and history of cerebrovascular disease, to forecast the likelihood of postoperative delirium in patients. The area under the ROC curves (AUC) for the nomogram, incorporating the aforementioned predictors, was 0.836 (95% CI: 0.797-0.875) for the training set and 0.817 (95% CI: 0.755-0.880) for the validation set. The calibration curves for both sets indicated a good agreement between the nomogram's predictions and the actual probabilities. CONCLUSION: The use of this novel nomogram can help clinicians predict the likelihood of delirium after hip arthroplasty in elderly patients and help prevent and manage it in advance.