Objective To explore the predictive value of serum uric acid levels for the occurrence of sarcopenia after hepatectomy in patients with primary liver cancer(PLC).Method A convenience sampling method was used to prospectively include 161 PLC patients who underwent liver resection surgery at Baoding NO.2 Central Hospital of Hebei Province from January 2019 to December 2021.They were divided into occurrence group and non occurrence group based on whether they had muscle deficiency.The clinical data,serum uric acid and other blood biochemical examination results were compared between the two groups,and the predictive value and influence of serum uric acid level on sarcopenia after hepatectomy in PLC patients were analyzed.Results Among the 158 PLC patients who underwent hepatectomy in the final inclusion of this study,34 patients developed postoperative sarcopenia,with an incidence rate of approximately 21.52％.The serum uric acid level(311.79±35.32)μmol/L in the occurrence group was higher than that in the non-occurrence group(280.52±31.15)μmol/L,the ALB level(31.59±5.73)g/L was lower than that in the non-occurrence group(35.63±5.13)g/L,and the proportion of postoperative adjuvant hepatic arterial infusion chemotherapy(HAIC)(38.24％)was higher than that in the non-occurrence group(20.16％),with statistical significant differences(P＜0.05).Multiple Logistic regression analysis showed that serum uric acid、ALB、postoperative adjuvant HAIC were associated with sarcopenia after hepatectomy in PLC patients(OR=0.853,1.035,11.189,95％CI:0.770-0.945,1.018-1.052,3.533-35.433,P＜0.05).The receiver operating characteristic curve(ROC)showed that the area under the curve(AUC)of serum uric acid in predicting sarcopenia after hepatectomy in PLC patients was 0.754(95％CI:0.657-0.850),which had certain predictive value.The nomogram showed that the C-index of the prediction model constructed by serum uric acid assisted other major clinical indicators to predict the occurrence of sarcopenia after hepatectomy in PLC patients was 0.847(95％CI:0.782-0.913),suggesting that the model had certain predictive value.The results of the decision curve showed that when the threshold was in the range of 0.00-1.00,the actual clinical net benefit rate of the model was always greater than 0,and the maximum net benefit rate was 0.215,suggesting that the model had good clinical application value.Conclusion The increase of serum uric acid level in PLC patients is a risk factor for postoperative sarcopenia.The detection of serum uric acid level is helpful to assist in the early prediction of the risk of sarcopenia.

To effectively play the guiding role of pathogenic diagnosis in the rational use of antibiotics, hospitals at all levels urgently need to establish an effective control system for clinical microbial specimen submission. In response to the common problems in medical institutions in China, such as the low rate of microbiological specimen submission before antibiotic treatment, unreasonable structure of microbiological specimens, and the majority of morning sputum and urine specimens collected for pathogen testing, the Second Affiliated Hospital of Zhejiang University School of Medicine has constructed a management system for clinical microbiological specimen submission using artificial intelligence technology. It used a built-in intelligent rule engine to implement full process control over the sampling and submission of microbiological specimens by doctors when prescribing antibiotics, urge doctors to implement the requirement of collecting samples before using antibiotics for treatment, and recommend priority the collection of sterile specimens. In addition, the hospital transformed the laboratory and testing process with the goal of receiving microbial samples 24 hours without interruption and inoculating in real-time. The informatization management system began to be applied throughout the hospital in December 2015. The average rate of microbial sample submission before the first therapeutic use of antibiotics from June 2016 to 2023 was 79.2%, an increase of 90.2 percentage points from 41.7% in June 2014 ( χ2=467.781, P<0.01). The structure of microbial specimens continued to be optimized, and the proportion of sterile specimens in all submitted specimens increased from 47.2% in 2014 to 49.9% in 2023 ( χ2=139.119, P<0.01). The proportion of morning sputum and morning urine specimens decreased from 65.2% and 60.6% in 2014 to 11.1% and 16.9% in 2023, respectively ( χ2 values were 19 787.434 and 4 346.664, respectively, P<0.01), providing a more reliable basis for pathogenic diagnosis in clinical practice and providing reference for improving the management of pathogenic specimen submission in medical institutions.