Objective:To summarize the best evidence of exercise management of tumor-associated sarcopenia and provide reference for medical personnel to formulate individualized exercise intervention plans.Methods:BMJ Best Practice, UpToDate, Cochrane Library, Embase, PubMed, CINAHL, China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang database, National Guideline Clearinghouse, Scottish Intercollegiate Guidelines Network, and other databases were searched by computer for literature on exercise intervention for patients with tumor-associated sarcopenia, including clinical decision making, guidelines, expert consensus, evidence summary and systematic reviews. The search period was from the establishment of the databases to April 23, 2023. Two researchers independently conducted literature quality evaluation, evidence extraction, and integration.Results:A total of 12 articles were included, including 4 guidelines, 3 expert consensus papers, and 5 systematic reviews. A total of 32 pieces of evidence were summarized from five aspects, including exercise evaluation, exercise timing, exercise plan, exercise management, and evaluation indicators.Conclusions:This study summarizes the best evidence for exercise intervention in patients with tumor-associated sarcopenia and suggestes that medical staff should apply the proof according to the clinical context and the patient's wishes.

OBJECTIVE: To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model. METHODS: The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred. The cases in the dataset (70%) were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. Based on seven machine learning models including logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN), a prediction model for in-hospital mortality of sepsis patients was constructed. The receiver operator characteristic curve (ROC curve), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the seven models from the aspects of identification, calibration and clinical application, respectively. In addition, the predictive model based on machine learning was compared with the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) models. RESULTS: A total of 741 patients with sepsis were included, of which 390 were discharged after improvement, 351 died in hospital, and the in-hospital mortality was 47.4%. There were significant differences in gender, age, APACHE II score, SOFA score, Glasgow coma score (GCS), heart rate, oxygen index (PaO₂/FiO₂), mechanical ventilation ratio, mechanical ventilation time, proportion of norepinephrine (NE) used, maximum NE, lactic acid (Lac), activated partial thromboplastin time (APTT), albumin (ALB), serum creatinine (SCr), blood urea nitrogen (BUN), blood uric acid (BUA), pH value, base excess (BE), and K⁺ between the death group and the survival group. ROC curve analysis showed that the area under the curve (AUC) of RF, XGBoost, LR, ANN, DT, SVM, KNN models, SOFA score, and APACHE II score for predicting in-hospital mortality of sepsis patients were 0.871, 0.846, 0.751, 0.747, 0.677, 0.657, 0.555, 0.749 and 0.760, respectively. Among all the models, the RF model had the highest precision (0.750), accuracy (0.785), recall (0.773), and F1 score (0.761), and best discrimination. The calibration curve showed that the RF model performed best among the seven machine learning models. DCA curve showed that the RF model exhibited greater net benefit as well as threshold probability compared to other models, indicating that the RF model was the best model with good clinical utility. CONCLUSIONS The machine learning model can be used as a reliable tool for predicting in-hospital mortality in sepsis patients. RF models has the best predictive performance, which is helpful for clinicians to identify high-risk patients and implement early intervention to reduce mortality.
Humans ; Hospital Mortality ; Retrospective Studies ; ROC Curve ; Prognosis ; Sepsis/diagnosis* ; Intensive Care Units

Objective:To analyze the risk factors of acute kidney injury (AKI) in patients with septic shock in intensive care unit (ICU), construct a predictive model, and explore the predictive value of the predictive model.Methods:The clinical data of patients with septic shock who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical College from April 2015 to June 2019 were retrospectively analyzed. According to whether the patients had AKI within 7 days of admission to the ICU, they were divided into AKI group and non-AKI group. 70% of the cases were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. XGBoost model was used to integrate relevant parameters to predict the risk of AKI in patients with septic shock. The predictive ability was assessed through receiver operator characteristic curve (ROC curve), and was correlated with acute physiology and chronic health evaluationⅡ(APACHEⅡ), sequential organ failure assessment (SOFA), procalcitonin (PCT) and other comparative verification models to verify the predictive value.Results:A total of 303 patients with septic shock were enrolled, including 153 patients with AKI and 150 patients without AKI. The incidence of AKI was 50.50%. Compared with the non-AKI group, the AKI group had higher APACHEⅡscore, SOFA score and blood lactate (Lac), higher dose of norepinephrine (NE), higher proportion of mechanical ventilation, and tachycardiac. In the XGBoost prediction model of AKI risk in septic shock patients, the top 10 features were serum creatinine (SCr) level at ICU admission, NE use, drinking history, albumin, serum sodium, C-reactive protein (CRP), Lac, body mass index (BMI), platelet count (PLT), and blood urea nitrogen (BUN) levels. Area under the ROC curve (AUC) of the XGBoost model for predicting the risk of AKI in patients with septic shock was 0.816, with a sensitivity of 73.3%, a specificity of 71.7%, and an accuracy of 72.5%. Compared with the APACHEⅡscore, SOFA score and PCT, the performance of the model improved significantly. The calibration curve of the model showed that the goodness of fit of the XGBoost model was higher than the other scores (the calibration curve had the lowest score, with a score of 0.205).Conclusion:Compared with the commonly used clinical scores, the XGBoost model can more accurately predict the risk of AKI in patients with septic shock, which helps to make appropriate diagnosis, treatment and follow-up strategies while predicting the prognosis of patients.

Objective:To study and analyze the application effect of intervention plan based on unplanned readmission risk model (LACE) in the rehabilitation of patients with acute myocardial infarction (AMI) complicated with cardiac shock (CS) after percutaneous coronary intervention (PCI).Methods:Ninety-three patients with AMI complicated with CS who received PCI in Tianjin Union Medical Center from January 2019 to December 2020 were enrolled. The patients were divided into LACE intervention group ( n = 46) and routine intervention group ( n = 47) according to the different nursing intervention methods. The patients in the routine intervention group received routine interventions, including drug care, diet care, psychological care, health education and telephone follow-up, while those in the LACE intervention group were assessed for the risk of LACE, and then intervention measures were formulated according to the score of LACE index, including strengthening risk awareness, life behavior, daily life ability, self-care ability, health recovery and health needs. The follow-up period in both groups was 3 months. The changes of cardiac function, incidence of adverse cardiac events, readmission rate, self-management ability after intervention and quality of life level before and after intervention were compared between the two groups. Results:There was no significant difference in cardiac function or quality of life before intervention between the two groups. After intervention for 3 months, the cardiac function and quality of life in the two groups were improved as compared with those before intervention. The left ventricular ejection fraction (LVEF) in the LACE intervention group was significantly higher than that in the routine intervention group (0.533±0.076 vs. 0.492±0.072, P < 0.05), the left ventricular end diastolic diameter (LVEDD) was significantly lower than that in the routine intervention group (mm: 47.09±7.01 vs. 53.23±7.15, P < 0.01), and the World Health Organization Quality of Life-brief (WHOQOL-BREF) score was also significantly higher than that in the routine intervention group (66.32±6.19 vs. 55.79±7.26, P < 0.01). The scores of self-management ability in the coronary heart disease self-management scale (CSMS) after intervention in the LACE intervention group were significantly higher than those in the routine intervention group (adverse hobbies score: 17.37±3.24 vs. 14.21±2.73, symptoms score: 14.82±3.11 vs. 10.56±2.65, emotional cognition score: 16.17±2.83 vs. 12.95±2.41, first aid score: 11.85±1.94 vs. 10.62±1.56, disease knowledge score: 15.58±2.73 vs. 12.68±2.61, daily life score: 17.80±2.61 vs. 14.33±2.36, treatment compliance score: 11.47±1.84 vs. 8.56±1.23, all P < 0.01). The incidence of adverse cardiac events and readmission rate in the LACE intervention group were significantly lower than those in the routine intervention group (10.87% vs. 29.79%, 4.35% vs. 17.02%, both P < 0.05). Conclusion:The intervention plan based on LACE risk model can effectively promote postoperative rehabilitation of patients with AMI complicated with CS after PCI, and also help to improve patients' self-management ability and quality of life, which is worthy of clinical promotion and application.

Objective: To develop the early respiratory rehabilitation techniques in pediatric intensive care unit(PICU) for children with mechanical ventilation. Methods: A respiratory rehabilitation team was established, and early respiratory rehabilitation intervention methods for critically ill children were also developed.Early bedside rehabilitation were implemented after the vital signs of mechanical ventilation children were stable for 24 hours, and the rehabilitation effect and adverse events were observed. Results: According to the patient′s condition, 23 patients in PICU received early respiratory rehabilitation after incubations, including 10 males and 13 females, aged 57.0(17.5, 91.5) months.There was no adverse event in 729 rehabilitation practices.The average consulting time was 8.0(4.0, 18.0) days after incubations.The average incubation time was 693.5(345.2, 1 027.1)hours of all the patients.As to 16 patients who were weaned before charged out, the average incubation time was 566.2(243.4, 928.7)hours, and the average incubation time from respiratory rehabilitation performance to weaning was 168.0(6.0, 564.0) hours.In 19 patients who only received limbs massage and passive movements, the average incubation time was 381.7(309.6, 541.4) hours and the average incubation time from respiratory rehabilitation performance to weaning was 187.2(81.5, 382.9) hours.However the difference between these who received respiratory rehabilitation and only received limbs massage and passive movements was not statistically significant. Conclusion It′s safe and feasible to perform the early respiratory rehabilitation in PICU for critically ill children with mechanical ventilation.

AIM: To investigate the effect of telmisartan on intestinal flora and metabolite TMAO in atherosclerosis. METHODS: Seventeen ApoE

Objective To investigate the application of remote monitoring systems for cardiac implantable electronic devices (CIED) and its success rate of data transmission in elderly patients.Methods A total of 97 elderly patients who had previously undergone procedures for pacemaker implantation,implantable cardioverter defibrillators (ICD) or cardiac resynchronization therapy (CRT) with remote monitoring capabilities between January 2013 and October 2016 at our hospital were enrolled.We evaluated the effect of the remote monitoring systems for data transmission,compared the outpatient follow-up rates between the groups one year after implantation,and conducted a telephone survey of patients.Results A total of 97 elderly patients,including 70 with pacemakers,20 with ICD and 7 with CRT,were enrolled in this study.Participants had a mean age of (78.2-±-6.4) years and 64 were male (66.0％).The Home Monitoring system was used for 85 cases and the Merlin.net remote monitoring system was used for 12 cases.Overall,95 patients (97.9 ％) completed the remote monitoring procedure,68 patients (70.1％) completed the outpatient follow-up,and 90 patients (92.8％) completed the telephone survey during a one-year follow-up period.The satisfaction rate for the remote monitoring systems was 94.4％ (85 patients),and 80 patients (90.0％％) expressed a willingness to continue to use the remote monitoring system if a replacement was needed.Conclusions For elderly patients with CIED,the remote monitoring systems can improve the follow-up rate with a high degree of satisfaction.

Propofol is known to cause vasorelaxation of several systemic vascular beds. However, its effect on the pulmonary vasculature remains controversial. In the present study, we investigated the effects of propofol on human pulmonary arteries obtained from patients who had undergone surgery. Arterial rings were mounted in a Multi-Myograph system for measurement of isometric forces. U46619 was used to induce sustained contraction of the intrapulmonary arteries, and propofol was then applied (in increments from 10–300 µM). Arteries denuded of endothelium, preincubated or not with indomethacin, were used to investigate the effects of propofol on isolated arteries. Propofol exhibited a bifunctional effect on isolated human pulmonary arteries contracted by U46619, evoking constriction at low concentrations (10–100 µM) followed by secondary relaxation (at 100–300 µM). The extent of constriction induced by propofol was higher in an endothelium-denuded group than in an endothelium-intact group. Preincubation with indomethacin abolished constriction and potentiated relaxation. The maximal relaxation was greater in the endothelium-intact than the endothelium-denuded group. Propofol also suppressed CaCl₂-induced constriction in the 60 mM K⁺-containing Ca²⁺-free solution in a dose-dependent manner. Fluorescent imaging of Ca²⁺ using fluo-4 showed that a 10 min incubation with propofol (10–300 µM) inhibited the Ca²⁺ influx into human pulmonary arterial smooth muscle cells induced by a 60 mM K⁺-containing Ca²⁺-free solution. In conclusion, propofol-induced arterial constriction appears to involve prostaglandin production by cyclooxygenase in pulmonary artery smooth muscle cells and the relaxation depends in part on endothelial function, principally on the inhibition of calcium influx through L-type voltage-operated calcium channels.
15-Hydroxy-11 alpha,9 alpha-(epoxymethano)prosta-5,13-dienoic Acid ; Arteries ; Calcium ; Calcium Channels ; Constriction ; Endothelium ; Humans* ; Indomethacin ; Myocytes, Smooth Muscle ; Propofol* ; Prostaglandin-Endoperoxide Synthases ; Pulmonary Artery* ; Relaxation ; Vasoconstriction* ; Vasodilation

Objective To explore the relationship between nutritional risk and clinical outcome in hospitalized patients with inflammatory bowel disease ( IBD ); to analyze the factors influencing the nutritional risk of IBD patients, so that to provide theoretical and practical basis for further study, prevention and treatment of the malnutrition in IBD patients. Methods A total of 93 hospitalized patients with IBD at gastroenterology department in the Third Affiliated Hospital of Soochow University, Changzhou Second Hospital affiliated to Nanjing Medical University and Changzhou Hospital affiliated to Nanjing University of Traditional Chinese Medicine from January to July in 2014 were enrolled into the study. Informed consent forms were signed and case datum of patients were collected within 24 hours after hospitalization, and patients′nutritional status were completed with Nutritional Risk Screening 2002.Results The hospitalization duration and medical expenses of group with nutritional risk were higher than that group without nutritional risk ( P<0.05);If we regarded the nutritional risk of hospitalized patients with IBD as the dependent variable, and other variables which might be associated with nutritional risk as independent variables, then conducted a binary logistic regression analysis. The results showed that: gender, diagnosis and disease severity were the independent risk factors of the nutritional risk of hospitalized patients with IBD(P<0.05), which means that women′s nutritional risk was higher than men;the nutritional risk of Crohn disease ( CD) was higher than that of ulcerative colitis ( UC ); the more serious of the disease, the higher incidence of nutritional risk; but nutritional risk had nothing to do with age and course of disease(P>0.05).Conclusions Nutritional risk can predict clinical outcomes; gender, diagnosis and disease severity are independent risk factors of the nutritional risk of hospitalized patients with IBD except age and course of disease.

Objective We tried to investigate the nutritional status and related factors in patients undergoing allogenetic hematopoietic stem cell transplantation.Methods A total of 75 patients were recruited from a class-three hospital in Suzhou.They were investigated with a basic information questionnaire and the Patient-Generated-Subjective Global Assessment (PG-SGA).The related factors influencing nutritional status were analyzed.Results The PAB level began to rise since conditioningregimen,and it rose to the highest level in the second week,then began to decline.The weight and the BMI had been declining in the four weeks since conditioning regimen.29.33％ of the patients were malnourished,the scored PG-SGA was (5.60±4.96),the percentage of patients with dietary problems was 33.3％ before conditioning regimen; 85.33％ of the patients were malnourished,the scored PG-SGA was (19.26±7.18),the percentage of patients with dietary problems was 93.2％ in the second week since conditioning regimen; 85.33％ of the patients were malnourished,the scored PG-SGA was (12.95±6.19),the percentage of patients with dietary problems was 75.8％ in the fourth week; Age is the main factor affecting the patients' albumin level in the second week.Conclusions The nutritional status of patients deteriorated and the percentage of patients with malnutrition increased during allogeneic hematopoietic stem cell transplantation.Clinical staff should pay attention to the assessment of nutritional status,and give a reasonable nutritional support when necessary.