Objective:To investigate the effects of dexmedetomidine on vital signs during recovery from general anesthesia in gynecological patients undergoing general anesthesia surgery and analysis of risk factors for complications.Methods:A total of 80 gynecological patients undergoing general anesthesia surgery who received treatment in Lishui People's Hospital from March 2021 to March 2022 were included in this study. They were randomly divided into an observation group and a control group ( n = 40/group). All patients were subjected to general anesthesia. The observation group was infused with 0.5 μg/kg dexmedetomidine intravenously 15 minutes before induction of anesthesia and then infused with dexmedetomidine at a rate of 0.2 μg/kg per hour until 20-30 minutes before the end of the operation. The control group was identically given 0.9% normal saline. The recovery quality, vital signs before surgery and during recovery from general anesthesia (systolic blood pressure, diastolic blood pressure, heart rate, body temperature), and complications during recovery from general anesthesia were compared between the two groups. These patients were divided into a complication group and a non-complication group according to whether there were complications during recovery from general anesthesia. Univariate and multivariate Logistic regression analyses were performed to analyze the high-risk factors for complications occurring during recovery from general anesthesia in gynecological patients undergoing general anesthesia surgery. Results:The time to awaken, time to recover spontaneous respiration, and time to extubation in the observation group were significantly shorter than those in the control group ( t = 3.74, 2.97, 2.56, all P < 0.05). Systolic blood pressure, diastolic blood pressure, and heart rate measured during recovery from general anesthesia were significantly lower in the observation group compared with the control group ( t = 5.71, 4.53, 4.53, all P < 0.001). Body temperature ( t = 4.40, P < 0.001) and the incidence of complications ( χ2 = 5.69, P < 0.05) were significantly lower in the observation group compared with the control group. These patients were divided into complication ( n = 22) and non-complication ( n = 58) groups according to whether they had complications during recovery from general anesthesia. Univariate and multivariate logistic regression analyses showed that American Association of Anesthesiologists grade II, presence of underlying diseases, abnormal leukocyte count, and no use of dexmedetomidine were the risk factors for postoperative complications in gynecological patients undergoing general anesthesia surgery ( OR = 2.38, 2.86, 2.17, 3.60, all P < 0.05). Conclusion:Dexmedetomidine can improve awakening quality and vital signs and reduce complications during recovery from general anesthesia. American Association of Anesthesiologists grade, underlying disease, abnormal white blood cell count, and no use of dexmedetomidine are the risk factors for complications occurring during recovery from general anesthesia in gynecological patients undergoing general anesthesia surgery.

Objective To explore the predictive value of immune inflammation combined with liver function hematological indicators for the metastasis of colorectal cancer. Methods A retrospective analysis of clinical data of 133 patients with colorectal cancer was conducted. The patients were divided into three groups based on disease progression after 24 months of postoperative follow-up: non-metastasis group (n=38), liver metastasis group (n=43), and non-liver distant metastasis group (n=52). The immune inflammatory markers and liver function hematological indicators of progression-free survival were analyzed. Nomogram prediction models were constructed using univariate and multivariate logistic regression analyses to identify risk factors for metastasis of colorectal cancer. The accuracy of the nomogram was validated using receiver operating characteristic (ROC) curve and calibration curve, and the clinical predictive efficacy was evaluated through decision curve and clinical impact curve. Results Univariate and multivariate logistic regression analyses showed that pan-immune-inflammatory value (PIV), prognostic nutritional index (PNI), and bile acid (BA) were independent predictors of colorectal cancer metastasis. The area under the ROC curve of the combined prediction of metastasis was 0.84; neutrophil/lymphocyte ratio (NLR) and BA were independent predictors of liver metastasis from colorectal cancer. The area under the ROC curve of the combined prediction of liver metastasis was 0.83; PIV and PNI were independent predictive factors for the occurrence of non-liver distant metastasis from colorectal cancer. The area under the ROC curve for the combined prediction of non-liver distant metastasis was 0.83. The calibration curve, decision curve, and clinical impact curve showed that the three models had good accuracy and net benefit value. Conclusion The nomogram constructed based on immune inflammation and liver function hematological indicators can predict the metastasis of patients with colorectal cancer and has high predictive efficacy and clinical application prospects.