Objective The optimal ventilation mode for patients with obesity undergoing laparoscopic surgery remains unclear.We aimed to compare the effects of pressure-controlled ventilation(PCV)and pressure-controlled ventilation-volume guaranteed(PCV-VG)on perioperative oxygenation and respiratory mechanics in patients undergoing laparoscopic bariatric surgery.Methods In this prospective randomized controlled study,114 subjects who underwent laparoscopic bariatric surgery from Jan 2017 to Mar 2020 were randomly divided into PCV-VG group(n=56)or PCV group(n=54),with 4 lost to follow-up.The perioperative pulmonary mechanics and arterial blood gas results were compared between the two groups.Postoperative extubation time,the incidences of postoperative pulmonary complications(PPCs)and abnormal radiographic changes(ARCs)were also recorded.Results During intraoperative pneumoperitoneum,the pulmonary dynamic compliance(Cdyn)was significantly lower in PCV-VG group than that in PCV group(T2:P=0.022;T3:P=0.039).There were no significant differences in perioperative oxygenation index and respiratory peak pressure(Ppeak)between the two groups.Eighty-six patients(78.2%)had ARCs on the 1st day after surgery,and 10 cases(9.1%)developed PPCs.There was no significant difference in extubation time,ARCs or PPCs between the two groups.After adjustment,anesthesia duration and oxygenation index before anesthesia induction were significantly associated with extubation time.Anesthesia duration of more than 2 hours was a risk factor for postoperative ARCs.Conclusion Compared with PCV-VG mode,PCV mode provides better pulmonary Cdyn during intraoperative pneumoperitoneum for patients undergoing laparoscopic bariatric surgery.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective:To evaluate the perceived level of home exercise behavior in elderly patients with ovarian cancer and analyze its influencing factors, so as to promote home exercise behavior of patients and improve the quality of life.Methods:A total of 227 elderly patients with ovarian cancer from January 1, 2021 to October 1, 2023 in the First Affiliated Hospital, School of Medicine, Zhejiang University were selected by convenience sampling method. A cross-sectional survey was conducted by General Information Questionnaire, Exercise Benefits/Barriers Scale (EBBS), Social Support Rating Scale (SSRS), General Self-efficacy Scale (GSES) and Brief Fatigue Inventory (BFI). The influencing factors on the perceived level of home exercise behavior in elderly patients with ovarian cancer were analyzed.Results:There were 227 elderly female patients with ovarian cancer, including 151 patients aged<70 years old and 76 patients aged ≥70 years old. The scores of EBBS, SSRS, GSES, BFI were (123.37±11.02), (37.68±7.44), (29.35±6.54), (5.82±2.01) points. The perception of exercise behavior was positively correlated with general self-efficacy and social support ( r=0.752, 0.901, both P<0.01), was negatively correlated with cancer-related fatigue ( r=-0.198, P<0.01). The results showed that general self-efficacy, social support, age≥70 years old, no spouse, not being informed of the benefits of exercise,fatigue due to moderate and severe cancer, duration of disease ≥12 months were the influencing factors ( t values were -4.56 - 4.46, all P<0.05). Conclusions:Elderly patients with ovarian cancer need to improve their perception level of home exercise behavior. In the formulation of home exercise behavior for elderly patients with ovarian cancer, education and cognition on the perceived benefits of home exercise behavior should be strengthened, and patients′ physical and mental status should be evaluated before exercise to actively reduce cancer-related fatigue. At the same time, the combination of family support can improve the perceived level of exercise behavior of elderly patients with ovarian cancer at home, so as to promote home exercise behavior of patients.

Objective:To construct a clinical decision-making ability indicator system based on evidence-based practice for pediatric nursing interns, and to provide a scientific basis for clinical teaching and evaluation.Methods:A method combining literature analysis, Delphi expert consultation, and empirical research was used. Firstly, a systematic search of Chinese and English databases (2018-2023) was conducted. Literature was screened based on the PICO framework and evidence-based data were extracted, resulting in a preliminary system consisting of 4 primary indicators, 12 secondary indicators, and 39 tertiary indicators. Subsequently, the indicators were revised through two rounds of Delphi expert consultation (25 experts with 19-27 years of work experience). The expert authority coefficients (Cr) were 0.898-0.907 and the Kendall's concordance coefficients were 0.351-0.420 ( P<0.001). Finally, the analytic hierarchy process was used to determine the weights, and the reliability and validity were verified through a questionnaire survey (sample size: 30 participants in preliminary survey and 58 participants in formal survey). Results:The constructed indicator system included 4 primary indicators (weights), 13 secondary indicators, and 42 tertiary indicators. The weights of the primary indicators were as follows: knowledge integration ability (0.300), evidence-based practice ability (0.250), clinical judgment ability (0.280), and ethical decision-making ability (0.170). The importance scores of all items exceeded 4.0 points (out of 5 points), and the coefficients of variation were less than 0.20. The reliability and validity tests showed that the Cronbach's α of the overall scale was 0.89, and the intraclass correlation coefficient was 0.88. The cumulative variance contribution rate of exploratory factor analysis was 69.30%. The confirmatory factor analysis demonstrated a good model fit with a comparative fit index of 0.93 and a root mean square error of approximation of 0.05. Conclusions:This indicator system has high scientificity and practicality, and can provide a reference for the standardized cultivation and evaluation of clinical decision-making ability of pediatric nursing interns. In the future, it is necessary to strengthen advanced evidence-based skills training and long-term application effectiveness tracking.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective:To establish a core competence evaluation index system for pediatric internal medicine nurses.Methods:On the basis of literature review, theoretical analysis, and clinical practice of the research group, the evaluation index system of the core competence of nurses in pediatric internal medicine was preliminarily formulated after the discussion of the research group. The Delphi method was employed for two rounds of expert consultation, involving a total of 18 experts. Finally, the evaluation index system of the core competence of nurses in pediatric internal medicine was established, and the weights of indicators at all levels were calculated.Results:The effective recovery rates of the first and second rounds of expert consultation were 100.00%. In the first and second rounds of expert consultation, the authority coefficients were 0.896 and 0.890, the judgment coefficients were 0.901 and 0.889, and the familiarity coefficients were 0.847 and 0.891, with authority coefficients >0.70 in both rounds. The coefficients of variation of the two rounds of expert correspondence were 0.041-0.227 and 0.002-0.126, respectively, and the coefficients of variation of indicators at all levels were <0.25. In the first round of expert consultation, Kendall's coordination coefficients of primary, secondary, and tertiary indicators were 0.305, 0.362, and 0.364, respectively, with P values <0.001. In the second round of expert consultation, Kendall's coordination coefficients of primary, secondary, and tertiary indicators were 0.371, 0.352, and 0.380, respectively, with P values <0.001. Finally, the core competence evaluation index system of pediatric internal medicine nurses was established, including 3 first-level indicators, 14 second-level indicators, and 57 third-level indicators. Conclusions:The evaluation index system of the core competence of pediatric internal medicine nurses has scientificity, reliability, specialty-specific characteristics, and reference value, which can provide a reference for the training and evaluation of pediatric internal medicine nurses in China.

Cholestatic liver disease(CLD)encompasses a range of acute and chronic disorders characterized by impaired bile formation and/or flow.If left untreated,it may progress to cirrhosis and even liver failure.In recent years,with the development of molecular biology and omics technologies,the diagnosis and treatment of CLD are entering the era of precision medicine.This article reviews the advances in the diagnosis of CLD based on genetic testing and omics biomarkers and summarizes the latest studies and clinical trials on hydrophilic bile acid,FXR agonist,PPAR agonist,antibiotics,and novel molecules in targeted therapy for CLD.In the future,integrating omics data and implementing individualized diagnosis and treatment will be the main directions in precision medicine for CLD.This article aims to provide a reference for basic research and clinical translation in the field of CLD.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Chronic myeloid leukemia (CML) is a malignant hematologic disorder caused by abnormal proliferation of hematopoietic stem cells. In recent years, while the application of tyrosine kinase inhibitors (TKIs) has significantly improved the prognosis of CML patients through in-depth exploration of pathogenesis of CML and advancements in targeted therapies, some patients still face challenges including drug resistance, disease relapse, and failure to achieve treatment-free remission. Imunotherapy, as a complementary or alternative strategy, holds significant potential for overcoming these limitations, and has gradually emerged as a critical research focus in CML treatment. This review aims to summarize the current research status and latest advances in immunotherapy for CML.