Objective:To conduct enrichment and biological behavior studies on CD44 + CD24 - triple-negative breast cancer (TNBC) stem-like cells, and to construct 68Ga-labeled CD44 peptide ( 68Ga-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-CD44p) and evaluate its targeting ability towards the surface marker CD44 of TNBC stem-like cells. Methods:Suspension sphere culture method was utilized to enrich and cultivate CD44 + CD24 - cell subpopulations from TNBC cell line MDA-MB-231 and non-TNBC cell line MCF-7. Flow cytometry was used to detect the expression of stem cell markers of different groups, cell scratch assay was performed to assess the migration ability of CD44 + CD24 - cell subpopulations, and Transwell invasion assay was performed to evaluate the invasion ability of CD44 + CD24 - cell subpopulations. 68Ga-NOTA-CD44p was prepared, followed by purification and identification with high-performance liquid chromatography (HPLC). The targeting ability of 68Ga-NOTA-CD44p towards CD44 + TNBC cells was evaluated through cellular uptake and blocking experiments. Data were analyzed by independent-sample t test, one-way analysis of variance and the least significant difference t test. Results:Suspension sphere culture successfully enriched CD44 + CD24 - TNBC stem-like cell spheres. Compared to the non-TNBC cell line MCF-7, TNBC cell line MDA-MB-231 exhibited better sphere-forming ability (18.50±3.73 vs 31.83±4.92; t=5.29, P<0.001) and a higher proportion of CD44 + CD24 - cell subset ((24.97±8.12)% vs (90.93±4.46)%; F=170.10, t=14.93, both P<0.001). The wound healing rate ((71.00±11.00)% vs (28.33±4.16)%; F=42.91, t=8.02, both P<0.001) and invasion rate ((60.60±16.87)% vs (24.16±8.15)%; F=11.83, t=4.40, both P<0.01) of CD44 + CD24 - MDA-MB-231 group cells were significantly increased compared to the CD44 + CD24 - MCF-7 group. MDA-MB-231 cells showed strong uptake ability of 68Ga-NOTA-CD44p, which decreased after CD44p blocking. Conclusions:Compared to CD44 + CD24 - MCF-7 cells, CD44 + CD24 - MDA-MB-231 cells exhibit higher malignant biological behavior. 68Ga-NOTA-CD44p targets the surface marker CD44 of TNBC stem-like cells, laying the research foundation for targeted therapy against TNBC with tumor stem cells as targets.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective To investigate the epidemiological characteristics and influencing factors of Femoral Artery Compression-Related Skin Complications Around the Puncture Site(FACR-SCAPS)in patients with primary hepatocellular carcinoma(HCC)undergoing transarterial chemoembolization(TACE).Methods A multicenter cross-sectional study was conducted using convenience sampling.A total of 1 573 HCC patients who underwent TACE between April 2023 and October 2024 were recruited from interventional radiology departments,oncology units,and specialized centers across 10 hospitals in Beijing,Tianjin,Shandong,Hebei,Qinghai,and Inner Mongolia.Descriptive statistics,univariate analysis,and multivariate logistic regression were used to explore the epidemiological characteristics and influencing factors of FACR-SCAPS in this population.Results Among the 1 573 primary HCC patients undergoing TACE interventional therapy,FACR-SCAPS occurred in 28.99％(456/1 573),with a total of 476 complication instances recorded(30.26 per 100 patients).Patients with a single complication accounted for 96.93％,whereas those with multiple complications constituted 3.07％.The most prevalent types of complications were skin erythema,skin ecchymosis,and hard lumps formation,collectively accounting for 96.49％of all complications.Hematoma,blisters,and rupture complications collectively accounted for only 4.61％.Logistic regression analysis revealed that peak diastolic blood pressure during compression(OR=1.024,95％CI:1.013-1.035,P＜0.001),use of rotary compression hemostasis devices(OR=3.220,95％CI:2.120-4.891,P＜0.001),elevated PT-INR(OR=19.630,95％CI:6.039-63.810,P＜0.001),and anticoagulant use within the last three months(OR=1.909,95％CI:1.064-3.427,P=0.030)were significant influencing factors associated with FACR-SCAPS post-TACE.Conclusion FACR-SCAPS is commonly seen among primary HCC patients after TACE,its risk factors include peak diastolic blood pressure during compression,use of rotary compression devices,elevated PT-INR,and recent anticoagulant use.

Objective:To conduct enrichment and biological behavior studies on CD44 + CD24 - triple-negative breast cancer (TNBC) stem-like cells, and to construct 68Ga-labeled CD44 peptide ( 68Ga-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-CD44p) and evaluate its targeting ability towards the surface marker CD44 of TNBC stem-like cells. Methods:Suspension sphere culture method was utilized to enrich and cultivate CD44 + CD24 - cell subpopulations from TNBC cell line MDA-MB-231 and non-TNBC cell line MCF-7. Flow cytometry was used to detect the expression of stem cell markers of different groups, cell scratch assay was performed to assess the migration ability of CD44 + CD24 - cell subpopulations, and Transwell invasion assay was performed to evaluate the invasion ability of CD44 + CD24 - cell subpopulations. 68Ga-NOTA-CD44p was prepared, followed by purification and identification with high-performance liquid chromatography (HPLC). The targeting ability of 68Ga-NOTA-CD44p towards CD44 + TNBC cells was evaluated through cellular uptake and blocking experiments. Data were analyzed by independent-sample t test, one-way analysis of variance and the least significant difference t test. Results:Suspension sphere culture successfully enriched CD44 + CD24 - TNBC stem-like cell spheres. Compared to the non-TNBC cell line MCF-7, TNBC cell line MDA-MB-231 exhibited better sphere-forming ability (18.50±3.73 vs 31.83±4.92; t=5.29, P<0.001) and a higher proportion of CD44 + CD24 - cell subset ((24.97±8.12)% vs (90.93±4.46)%; F=170.10, t=14.93, both P<0.001). The wound healing rate ((71.00±11.00)% vs (28.33±4.16)%; F=42.91, t=8.02, both P<0.001) and invasion rate ((60.60±16.87)% vs (24.16±8.15)%; F=11.83, t=4.40, both P<0.01) of CD44 + CD24 - MDA-MB-231 group cells were significantly increased compared to the CD44 + CD24 - MCF-7 group. MDA-MB-231 cells showed strong uptake ability of 68Ga-NOTA-CD44p, which decreased after CD44p blocking. Conclusions:Compared to CD44 + CD24 - MCF-7 cells, CD44 + CD24 - MDA-MB-231 cells exhibit higher malignant biological behavior. 68Ga-NOTA-CD44p targets the surface marker CD44 of TNBC stem-like cells, laying the research foundation for targeted therapy against TNBC with tumor stem cells as targets.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.

Objective:To investigate the current situation and influencing factors of patients′ satisfaction with nursing humanistic care, and to provide reference for improving the quality of such care provided by hospitals.Methods:From July to August 2022, outpatients and inpatients in 30 provinces were selected by multi-stage stratified sampling as the survey objects. A cross-sectional survey was conducted on an online platform, using the general information questionnaire and Chinese version of methodist health care system nurse caring instrument revised by the research group. The latter instrument consists of 12 dimensions. namely care coordination, competence, teaching/learning, emotional support, respect for individuality, physical comfort, availability, helping/trusting relationship, patient/family engagement, physical environment, spiritual environment and outcomes. Descriptive analysis was performed on the data collected by the questionnaires, and independent sample t-test and one-way ANOVA were used to analyze the influencing factors of patient satisfaction. Results:A total of 107 hospitals were selected for questionnaire survey, including 86 tertiary hospitals and 21 secondary hospitals, and 29 108 valid questionnaires were recovered. The patient satisfaction with nursing humanistic care scored (5.40±0.86); the top three dimensions were competence (5.50±0.89), emotional support (5.47±0.88) and helping/trusting relationship (5.46±0.86); the lowest scoring dimensions were teaching/learning (5.38±1.01), spiritual environment (5.36±1.04) and patient/family engagement (5.11±1.28). Differences with gender, age, marital status, child status, educational level, occupation, place of residence, economic region, per capita monthly income of the family, type of medical insurance, medical department visited and surgery or not presented significant differences on the patient satisfaction with nursing humanistic care scores ( P<0.05). Conclusions:The satisfaction of patients with hospital′s nursing humanistic care in China was at the middle to upper level. In the future, health education for patients should be strengthened, and a mode of family-engaged nursing humanistic care should be constructed in line with the Chinese cultural background. In the process of nursing services, the particularity of patient groups should be considered to better meet their needs.