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find Author "LI Yanmei" 2 results
  • Risk factors for sarcopenia after gastric cancer resection in older patients

    ObjectiveTo explore risk factors for sarcopenia after radical gastrectomy for gastric cancer in older patients. MethodsOlder patients who underwent radical gastrectomy for gastric cancer at Tangshan People’s Hospital from January 2022 to June 2023 were retrospectively collected. The occurrence of sarcopenia was recorded, and factors influencing its development were analyzed. Factors with statistical significance in univariate analysis and clinical relevance were included in a multivariate binary logistic regression model. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory ability of significant predictors for sarcopenia occurrence. ResultsA total of 300 older patients underwent radical gastrectomy for gastric cancer were enrolled. Sarcopenia occurred in 74 patients (incidence rate: 24.7%). Multivariate binary logistic regression analysis identified the following independent risk factors for sarcopenia (all P<0.05): American Society of Anesthesiologists (ASA) class Ⅲ, postoperative chemotherapy, geriatric nutritional risk index (GNRI) <89, body mass index (BMI) <18.5 kg/m2, lack of exercise habits, and lower levels of serum total protein, grip strength, skeletal muscle mass index (SMI), 6-meter walking speed, and short physical performance battery (SPPB) score. Among these, factors with an area under the ROC curve (AUC) >0.7 were serum total protein, SMI, and 6-meter walking speed. The combined model integrating these three factors achieved an AUC of 0.937 (sensitivity 96.65%; specificity 89.71%; Youden index 0.844). ConclusionsThis study reveals a high incidence of sarcopenia after radical gastrectomy in older gastric cancer patients. The risk of sarcopenia is multifactorial, involving surgical tolerance (ASA classification), postoperative therapy (chemotherapy), nutritional status (GNRI and BMI), exercise habits, and various muscle-related functional indicators (serum total protein, grip strength, SMI, walking speed, and physical performance score). The combined predictive model shows potential for early identification of high-risk patients and timely preventive interventions.

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  • Investigation and analysis of the current situation of daytime treatment services under the centralized treatment mode in a large-scale military hospital

    Objective To analyze the current situation of the centralized treatment mode for daytime treatment (excluding daytime surgery) services in a large-scale military hospital, and provide practical support for the management and operation of the centralized treatment mode for daytime treatment. Methods Data on patients undergoing centralized daytime treatment in the Department of Ambulatory Medicine, First Medical Center of PLA General Hospital were retrospectively collected between February 7, 2021 and December 31, 2023. The patients’ condition, daytime treatment operation indicators, and quality control indicators were statistically analyzed. Results A total of 14903 patients underwent daytime treatment, including 8548 females and 6355 males. The patients’ age ranged from 18 to 74 years old. There were 9757 patients (65.47%) who had been hospitalized ≥ 2 times. The main payment method for patients was medical insurance (83.16%). Breast cancer accounted for the highest proportion (26.45%). The main treatment methods for patients were targeted therapy and immunotherapy (68.03%). The patients experienced a total of 1146 drug-related adverse reactions, mainly involving anti-tumor drugs. Among them, 15 cases were drug-related adverse reactions treated on the day of treatment, and the other 1131 cases were drug-related adverse reactions that occurred outside the hospital. After optimizing the entire process of daytime hospitalization (timed based treatment) in January 2023, compared to 2022, the average waiting time for patients after admission was reduced by 26.89%, the bed utilization rate increased by 9.09%, and patient satisfaction increased to 98.98%. In 2023, the default rate of daytime treatment was 1.15%, the cancellation rate of daytime treatment on the day of treatment was 4.39%, and the discharge follow-up rate reached 100%. Conclusions The daytime treatment under the centralized treatment mode in the the Department of Ambulatory Medicine, First Medical Center of PLA General Hospital focuses on breast cancer patients, and the main treatment methods are targeted therapy and immunotherapy. Time based treatment is beneficial for shortening the average waiting time of patients after admission, improving bed utilization and patient satisfaction.

    Release date:2024-02-29 12:03 Export PDF Favorites Scan
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