OBJECTIVE: To explore the clinical features of patients with necrotizing soft tissue infection (NSTI) and the related factors for sepsis, so as to provide a basis for early intervention and improvement of patients' prognosis. METHODS: A retrospective case series study was conducted to analyze the clinical data of NSTI patients admitted to the department of burns and wound repair surgery of Guangdong Provincial People's Hospital from October 2021 to December 2024. Demographic information, underlying diseases, infection characteristics, laboratory test results and etiological findings at admission, treatment status, occurrence of complications (including sepsis) and prognosis were collected. Univariate and multivariate Logistic regression analyses were used to identify the associated factors for sepsis in NSTI patients. Receiver operator characteristic curves (ROC curves) were plotted to evaluate the predictive value of individual and combined factors for sepsis. RESULTS: A total of 159 NSTI patients were enrolled, mainly middle-aged and elderly males. Most patients had comorbidities, including diabetes mellitus (110 cases, 69.2%) and hypertension (67 cases, 42.1%). The main infection site was the lower extremities (104 cases, 65.4%). Common symptoms included redness (96 cases, 60.4%), swelling (129 cases, 81.1%), local heat (60 cases, 37.7%), pain (100 cases, 62.9%), and skin ulceration or necrosis (9 cases, 5.7%). Imaging findings included soft tissue swelling (66 cases, 57.9%), gas accumulation (41 cases, 36.0%), and abnormal signal/density shadows (50 cases, 43.9%). Staphylococcus aureus was the main pathogenic bacterium [12.0% (31/259)], and drug-resistant Escherichia coli had the highest detection rate among drug-resistant bacteria [35.1% (13/37)]. Regarding debridement and repair, most patients (80 cases, 50.3%) underwent debridement ≥ 72 hours after admission, while only 10.1% (16 cases) received debridement within 6 hours. Most patients underwent multiple debridements, with 2 times of debridements being the most common (68 cases, 42.8%), and the maximum times of debridements reached 6. The largest number of patients received secondary suture (44 cases, 27.7%). In terms of complications, sepsis was the most common (66 cases, 41.51%), followed by acute kidney injury, respiratory failure requiring mechanical ventilation, and multiple organ dysfunction syndrome (MODS), while disseminated intravascular coagulation (DIC) was the least common. During the follow-up period, 9 patients (5.66%) were readmitted within 90 days, and 11 patients died, with a mortality rate of 6.92%. Univariate analysis showed that diabetes, coronary heart disease, gout, body temperature, heart rate, C-reactive protein, platelet count, total bilirubin, albumin, creatinine, out-of-hospital treatment, and out-of-hospital use of antimicrobial agents were significantly associated with sepsis in NSTI patients (all P < 0.05). Multivariate Logistic regression analysis showed that coronary heart disease [odds ratio (OR) = 30.085, 95% confidence interval (95%CI) was 2.105-956.935], C-reactive protein (OR = 1.026, 95%CI was 1.009-1.054), and total bilirubin (OR = 1.436, 95%CI was 1.188-1.948) were independent associated factors for sepsis in NSTI patients (all P < 0.05). ROC curve analysis revealed that the combination of the three predictors yielded the highest AUC for predicting sepsis in NSTI patients compared to any individual predictor [area under the curve (AUC) = 0.799 (95%CI was 0.721-0.878)]. CONCLUSIONS The clinical features of NSTI patients show certain regularity. Coronary heart disease, C-reactive protein, and total bilirubin are independent associated factors for sepsis in NSTI patients.
Humans ; Retrospective Studies ; Male ; Sepsis ; Soft Tissue Infections/microbiology* ; Female ; Middle Aged ; Aged ; Adult ; Prognosis ; Risk Factors ; Necrosis ; Logistic Models ; Fasciitis, Necrotizing

Gastrointestinal stromal tumor(GIST),with a certain malignant potential,are currently the most common subepithelial tumors of the gastrointestinal tract.Early diagnosis and prediction of malignant potential are very important for the formulation of a treatment plan and determining the prognosis of GIST.Deep learning technology has made significant progress in the diagnosis of digestive tract diseases,and it can also effectively assist physicians in diagnosing GIST and predicting their malignant potential,preoperatively.The application of deep learning technology in the diagnosis of GIST includes CT,gastrointestinal endoscopy and endoscopic ultrasound.This paper aims to review the application of deep learning technology in the diagnosis and prediction of malignant potential of GIST.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.

Objective:To analyze the operational efficiency and its changes of traditional Chinese medicine(TCM)hospitals in Guangdong province,and to provide empirical evidence for improving the operational efficiency of TCM hospitals in Guangdong Province.Methods:The three-stage DEA model was used to conduct a static analysis of the operating efficiency of TCM hospitals in Guangdong Province in 2022,and the Malmquist index was used to conduct a dynamic analysis of the changes in the operating efficiency of TCM hospitals in Guangdong Province from 2018 to 2022.Results:After eliminating the influences of environmental variables and random interference,the average values of comprehensive efficiency,pure technical efficiency and average scale efficiency of the TCM hospitals in Guangdong Province in 2022 were 0.970,0.982 and 0.988,respectively.From 2018 to 2022,the total factor productivity index of Guangdong's TCM Hospitals was 1.008.Conclusion:The overall operation efficiency of TCM hospitals in Guangdong is high,but there are obvious regional differences.Further improvement of operation efficiency is mainly restricted by pure technical efficiency.Operational efficiency needs to be further improved through measures such as coordinating the layout of resources in various places,improving the external environment,sounding the internal management system of hospitals,and fine-tuning operational management.