Objective To explore the impact of early discharge guidance,based on an intelligent education system,on postoperative pain management,functional recovery,and discharge readiness in lung cancer patients.Methods A total of 170 lung cancer patients were selected from Jinhua Municipal Central Hospital from July 2022 to June 2023.According to the time of admission,patients admitted between July to November 2022 were assigned to control group(n=82),while patients admitted between December 2022 to June 2023 were assigned to observation group(n=88).Control group received routine perioperative health education,while observation group received additional intelligent education system.Following outcomes were compared between two groups:Time to first ambulation after surgery,pain numeric rating scale(NRS)scores on postoperative 1 to 3 days and on day of discharge,performance on 2-minute step test on day of discharge,and readiness for hospital discharge scale(RHDS).Results Time to first ambulation post operative in observation group was shorter than that in control group.NRS scores at 72 hours post operative and on day of discharge were lower in observation group compared to control group.Number of steps completed in 2-minute step test in observation group was higher than that in control group.Additionally,RHDS scores in observation group was higher than that in control group,and all differences were statistically significant(P＜0.05).Conclusion The discharge planning advancement driven by the intelligent education system significantly improved early postoperative ambulation,reduced postoperative pain,enhanced physical function,and increased discharge readiness in lung cancer patients,thereby effectively promoting postoperative recovery.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

In recent years,the incidence and mortality rates of gastrointestinal tumors have been continuously increasing worldwide.The treatment and prognosis of gastrointestinal tumors are closely related to the depth of tumor invasion and lymph node metastasis.Therefore,early and accurate tumor staging is of critical importance.However,the diagnostic accuracy of endoscopic ultrasonography(EUS)in assessing the depth of tumor invasion remains controversial.This article reviewed the application value and influencing factors of EUS in staging early upper gastrointestinal tumors,aiming to provide useful references for clinical practice.

Objective:To observe the efficacy of plasma beam combined with intense pulsed light on facial burn scars and its impact on scar score and pain level.Method:This study was a prospective study,and a random number table method was used to divided 92 patients with facial burn scars who were admitted to Maoming People's Hospital from March 2024 to August 2024 into control group(received intense pulsed light treatment,46 cases)and study group(received plasma beam treatment in addition to the control group,46 cases).The efficacy,related scale scores,scar recovery and incidence of adverse reaction rates between two groups were compaerd.Result:Compared with control group after treatment,the clinical total effective rate and the chinese version of the simplified burn health scale(BSHS-B)score of the study group were higher,while vancouver scar scale(VSS),visual analogue scale(VAS)scores,scar thickness,and scar blood flow perfusion were lower(P＜0.05).There was no significant difference in the incidence of adverse reaction rates between the two groups(P＞0.05).Conclusion:Plasma beam combined with intense pulsed light on facial burn scars,can improve clinical efficacy,improve scar thickness and blood flow perfusion,alleviate scar itching and pain,and has good safety in treating facial burn scar patients.

In recent years,the incidence and mortality rates of gastrointestinal tumors have been continuously increasing worldwide.The treatment and prognosis of gastrointestinal tumors are closely related to the depth of tumor invasion and lymph node metastasis.Therefore,early and accurate tumor staging is of critical importance.However,the diagnostic accuracy of endoscopic ultrasonography(EUS)in assessing the depth of tumor invasion remains controversial.This article reviewed the application value and influencing factors of EUS in staging early upper gastrointestinal tumors,aiming to provide useful references for clinical practice.

Objective:To observe the efficacy of plasma beam combined with intense pulsed light on facial burn scars and its impact on scar score and pain level.Method:This study was a prospective study,and a random number table method was used to divided 92 patients with facial burn scars who were admitted to Maoming People's Hospital from March 2024 to August 2024 into control group(received intense pulsed light treatment,46 cases)and study group(received plasma beam treatment in addition to the control group,46 cases).The efficacy,related scale scores,scar recovery and incidence of adverse reaction rates between two groups were compaerd.Result:Compared with control group after treatment,the clinical total effective rate and the chinese version of the simplified burn health scale(BSHS-B)score of the study group were higher,while vancouver scar scale(VSS),visual analogue scale(VAS)scores,scar thickness,and scar blood flow perfusion were lower(P＜0.05).There was no significant difference in the incidence of adverse reaction rates between the two groups(P＞0.05).Conclusion:Plasma beam combined with intense pulsed light on facial burn scars,can improve clinical efficacy,improve scar thickness and blood flow perfusion,alleviate scar itching and pain,and has good safety in treating facial burn scar patients.

Objective To explore the impact of early discharge guidance,based on an intelligent education system,on postoperative pain management,functional recovery,and discharge readiness in lung cancer patients.Methods A total of 170 lung cancer patients were selected from Jinhua Municipal Central Hospital from July 2022 to June 2023.According to the time of admission,patients admitted between July to November 2022 were assigned to control group(n=82),while patients admitted between December 2022 to June 2023 were assigned to observation group(n=88).Control group received routine perioperative health education,while observation group received additional intelligent education system.Following outcomes were compared between two groups:Time to first ambulation after surgery,pain numeric rating scale(NRS)scores on postoperative 1 to 3 days and on day of discharge,performance on 2-minute step test on day of discharge,and readiness for hospital discharge scale(RHDS).Results Time to first ambulation post operative in observation group was shorter than that in control group.NRS scores at 72 hours post operative and on day of discharge were lower in observation group compared to control group.Number of steps completed in 2-minute step test in observation group was higher than that in control group.Additionally,RHDS scores in observation group was higher than that in control group,and all differences were statistically significant(P＜0.05).Conclusion The discharge planning advancement driven by the intelligent education system significantly improved early postoperative ambulation,reduced postoperative pain,enhanced physical function,and increased discharge readiness in lung cancer patients,thereby effectively promoting postoperative recovery.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective To investigate the value of multiparametric CT features for predicting the risk classification of gastric stro-mal tumor(GST).Methods The clinical data from 139 patients with GST were retrospectively collected.According to the patho-logical risk results,the patients were divided into two groups:a low-risk GST group(including very low-and low-risk)with 75 patients and a high-risk GST group(including medium and high-risk)with 64 patients.The CT features between low-risk GST group and high-risk GST group were compared using chi-squared test or t-test.The risk factors of high-risk GST were identified by univariate analysis.The prediction models were built by multivariate logistic regression.The performance of models were evaluated by receiver oper-ating characteristic(ROC)curve.Results There were significant differences in the maximum tumor diameter,minimum tumor diameter,arterial phase enhancement degree,venous phase enhancement rate,arterial phase enhancement degree rate,venous phase enhance-ment degree rate,cystic,and necrosis between low-risk GST group and high-risk GST group,which were associated with the risk classification of GST.The area under the curve(AUC)of the quantitative features-based model that combined maximum tumor diam-eter,minimum tumor diameter,arterial phase enhancement degree,venous phase enhancement rate,arterial phase enhancement degree rate and venous phase enhancement degree rate,showed a significantly higher performance than the qualitative features-based model that incorporated cystic and necrosis(0.981 vs 0.850,P<0.001).Conclusion Maximum tumor diameter,minimum tumor diameter,arterial phase enhancement degree,venous phase enhancement rate,arterial phase enhancement degree rate,venous phase enhance-ment degree rate,as well as cystic and necrosis,are associated with the risk classification of GST and can predict the high-risk GST.

The concept of'harmony'is the soul of traditional Chinese culture,which has a profound impact on the formation and development of traditional Chinese medicine(TCM).TCM is rooted in traditional Chinese culture,and the mode of thinking in TCM is in line with traditional Chinese culture.Based on the harmony culture,TCM has developed a unique view of health,disease and therapeutics.From the view of the harmony culture and by combining with years of clinical experience in treating dermatosis,Chinese medical master XUAN Guo-Wei has applied the concept of'harmony'in the TCM syndrome differentiation and treatment system in clinic,and has developed the academic thoughts of harmonizing therapy for removing toxins for the diagnosis and treatment of dermatosis.The thoughts of harmonizing therapy for removing toxins includes four aspects,namely harmonizing yin and yang,harmonizing healthy qi and pathogenic qi,harmonizing water and fire(i.e.,clod and hot),and harmonizing the administration of formula and drugs,aiming to remove toxins and expel pathogens and value the harmony.The thoughts of harmonizing therapy for removing toxins will beneficial to the comprehensive understanding of the unique health-disease-therapeutics concept in TCM,and will be helpful for managing the doctor-patient relationship,which is of enlightening significance to the modern clinical practice with TCM.