Precise management of the activity dose is a core component of the(early mobilization,EM)plan for ICU patients.However,the lack of clinical practice guidelines related to EM dose of existing programs hinders the implementation and development of EM in ICU patients to some extent.Therefore,this review focuses on 4 aspects,covering the definition of activity dose,assessment tools,the current clinical implementation status,and implications for future nursing.The aim is to systematically review the assessment tools and intervention strategies for the activity dose of EM in ICU patients,providing a reference for optimization of EM programs.

Objective:To systematically review the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures.Methods:PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Database and VIP Database were systematically searched to collect literature on the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures from inception to June 30, 2024. The languages were limited to Chinese and English. Two researchers screened the literature according to the inclusion and exclusion criteria. Data extraction was performed using the checklist for critical appraisal and data extraction for systematic reviews of prediction modeling studies (CHARMS), encompassing basic study characteristics, model development features, and model performance metrics. The predictors, validation methods, presentation formats, and predictive performance of the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures were evaluated. The prediction model risk-of-bias assessment tool (PROBAST) was employed to assess risk of bias and applicability of the included studies.Results:A total of 11 studies, comprising of 16 prediction models, were included, with a total sample size of 283-1 508 patients and a pulmonary infection incidence rate of 5.4%-16.25%. The independent predictive factors repeatedly included in the models were age, American Society of Anesthesiologists (ASA) scale, preoperative comorbidities, chronic obstructive pulmonary disease (COPD), preoperative albumin level, white blood cell count (WBC), and C-reactive protein (CRP) level. The models were internally validated in 7 studies and externally validated in 3. The models were visualized in the form of a nomogram in 7 studies and a web-based risk calculator in 1. Model prediction performance was analyzed: (1) In terms of the discrimination, 9 studies reported the area under the receiver operating characteristic curve (AUC), with the overall AUC range of 0.664-0.905. (2) In terms of the calibration, 5 studies had Hosmer-Lemeshow test, with the P-values all above 0.05; 2 studies reported the calibration plots, with the slopes close to 1 and the Brier scores of 0.016 and 0.112; 4 studies reported the sensitivity of the models of 73.91%-92.40% and specificity of 57.10%-92.41%. According to PROBAST, all 11 studies exhibited certain risk of bias while maintaining favorable applicability. Conclusions:Age, ASA scale, preoperative comorbidities, COPD, preoperative albumin level, WBC, and CRP level are found to be independent predictive factors repeatedly reported in the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures. The existing models demonstrate a robust overall prediction performance despite certain risks of bias.

Precise management of the activity dose is a core component of the(early mobilization,EM)plan for ICU patients.However,the lack of clinical practice guidelines related to EM dose of existing programs hinders the implementation and development of EM in ICU patients to some extent.Therefore,this review focuses on 4 aspects,covering the definition of activity dose,assessment tools,the current clinical implementation status,and implications for future nursing.The aim is to systematically review the assessment tools and intervention strategies for the activity dose of EM in ICU patients,providing a reference for optimization of EM programs.

Objective:To systematically review the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures.Methods:PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Database and VIP Database were systematically searched to collect literature on the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures from inception to June 30, 2024. The languages were limited to Chinese and English. Two researchers screened the literature according to the inclusion and exclusion criteria. Data extraction was performed using the checklist for critical appraisal and data extraction for systematic reviews of prediction modeling studies (CHARMS), encompassing basic study characteristics, model development features, and model performance metrics. The predictors, validation methods, presentation formats, and predictive performance of the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures were evaluated. The prediction model risk-of-bias assessment tool (PROBAST) was employed to assess risk of bias and applicability of the included studies.Results:A total of 11 studies, comprising of 16 prediction models, were included, with a total sample size of 283-1 508 patients and a pulmonary infection incidence rate of 5.4%-16.25%. The independent predictive factors repeatedly included in the models were age, American Society of Anesthesiologists (ASA) scale, preoperative comorbidities, chronic obstructive pulmonary disease (COPD), preoperative albumin level, white blood cell count (WBC), and C-reactive protein (CRP) level. The models were internally validated in 7 studies and externally validated in 3. The models were visualized in the form of a nomogram in 7 studies and a web-based risk calculator in 1. Model prediction performance was analyzed: (1) In terms of the discrimination, 9 studies reported the area under the receiver operating characteristic curve (AUC), with the overall AUC range of 0.664-0.905. (2) In terms of the calibration, 5 studies had Hosmer-Lemeshow test, with the P-values all above 0.05; 2 studies reported the calibration plots, with the slopes close to 1 and the Brier scores of 0.016 and 0.112; 4 studies reported the sensitivity of the models of 73.91%-92.40% and specificity of 57.10%-92.41%. According to PROBAST, all 11 studies exhibited certain risk of bias while maintaining favorable applicability. Conclusions:Age, ASA scale, preoperative comorbidities, COPD, preoperative albumin level, WBC, and CRP level are found to be independent predictive factors repeatedly reported in the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures. The existing models demonstrate a robust overall prediction performance despite certain risks of bias.

Objective:To explore the inhibitory mechanism of herb cake-partitioned moxibustion on tumor growth in colitis-associated colorectal cancer(CAC)based on histone lysine demethylase 4D(KDM4D). Methods:Inbred male Sprague-Dawley rats were randomly divided into a normal group,a CAC group,a herb cake-partitioned moxibustion group,and an inhibitor group.Except the normal group,rats in the other three groups were treated with azoxymethane(AOM)combined with dextran sulfate sodium(DSS)to make CAC rat models.Rats in the normal group and the CAC group did not receive interventions;rats in the herb cake-partitioned moxibustion group received moxibustion at Qihai(CV6)and bilateral Tianshu(ST25),2 cones for one point each time,once a day for 30 d with 1-day rest every week;rats in the inhibitor group received intraperitoneal injection of KDM4D inhibitor,5-chloro-8-hydroxyquinoline(5-c-8HQ),once a day for 30 d.After intervention,the general condition,colon length,tumor number and volume,and histopathological colon changes were observed.The expression of adenomatous polyposis coli(APC),axis inhibitor(Axin),cyclin D1,matrix metalloproteinase(MMP)-7 and MMP-9 mRNAs were detected by real-time quantitative polymerase chain reaction.The proliferating cell nuclear antigen(PCNA),cleaved caspase3,KDM4D,APC,and Axin proteins were detected by immunohistochemistry. Results:Compared with the normal group,the general condition was poor,the colon length was significantly shortened(P<0.01),the number and volume of colonic tumors were increased(P<0.01),the structure of glandular duct was obviously disordered with"back-to-back"and cowall phenomenon,and also high-grade adenocarcinoma formed;the protein expression levels of PCNA and KDM4D were significantly increased(P<0.01),while cleaved caspase3,APC,and Axin were significantly reduced(P<0.01);the mRNA expression levels of cyclin D1,MMP-7,and MMP-9 were significantly increased(P<0.01),while APC and Axin were significantly reduced(P<0.01)in the CAC group.Compared with the CAC group,the general condition was improved,the length of colon was significantly increased(P<0.01),the number and volume of the colonic tumors were reduced(P<0.05),and the colon tissues showed epithelial cell proliferation with enlarged and deep staining nuclei,dysplasia and inflammatory cell infiltration;the protein expression levels of PCNA and KDM4D were significantly reduced(P<0.01),while the cleaved caspase3,APC,and Axin were significantly increased(P<0.01);the mRNA expression levels of cyclin D1,MMP-7,and MMP-9 were reduced(P<0.05),while the APC and Axin were increased(P<0.05)in the colon tissues of rats in the herb cake-partitioned moxibustion group and the inhibitor group. Conclusion:Herb cake-partitioned moxibustion regulated abnormally expressed KDM4D in CAC rats,activated APC and Axin,the upstream molecules of Wnt/β-catenin pathway,inhibited abnormally activated downstream molecules of Wnt/β-catenin pathway.This may be a key mechanism of herb cake-partitioned moxibustion in inhibiting CAC tumor growth.

Objective To investigate the effect and mechanism of astragaloside Ⅳ(AS-Ⅳ) activating ROCK/JNK to regulate autophagy in improving isoproterenol (ISO) induced myocardial fibrosis (MF) in mice. Methods The mice were randomly divided into control operation group (Control group), ISO induced myocardial fibrosis group (MF group), AS-Ⅳ treatment group (AS-Ⅳ group) and combination group of astragaloside IV and Y-33075 (ROCK inhibitor) (astragaloside IV+Y-33075 group). After repeated administration for 30 days. The serum levels of LDH, BNP, CTGF in each group were detected. The cardiac function was detected by ultrasound. Myocardial structure and tissue fibrosis degree in each group were detected by Sirius Red and Masson staining. Oxidative stress (ROS) levels in myocardial tissue of each group were detected by DHE staining and the expression of ROCK, JNK, Atg5, Beclin 1, and LC3 Ⅰ/Ⅱ in myocardial tissue were detected by Western blotting. Results Compared with AS-Ⅳ group, the EF value of AS-Ⅳ+Y-33075 group decreased and the degree of myocardial fibrosis increased (P<0.05). The serum level of LDH, BNP, CTGF increased and the level of ROS in myocardial tissue increased while the expression of ROCK, JNK, Atg5, Beclin 1, LC3 Ⅰ/Ⅱ decreased (P<0.05). Y-33075 could block the protective effect of AS-Ⅳ on myocardial injury induced by MF and inhibit the regulation of AS-Ⅳ on ROCK and JNK. Conclusion AS-Ⅳ could attenuate myocardial fibrosis in mice by activating ROCK/JNK signal and promoting autophagy.

Objective To retrospectively evaluate the clinical efficacy and safety of brentuximab vedotin(BV) combined with chemotherapy in the treatment of malignant lymphoma. Methods We collected the data of 32 lymphoma patients with CD30-positive status, including 14 cases of Hodgkin's lymphomas, 2 cases of diffuse large B-cell lymphomas, and 16 cases of mature T/NK cell lymphomas. Chemotherapy combined with BV was administered to all patients for a minimum of two cycles. The efficacy of the treatment was evaluated according to Lugano criteria every two cycles. Results Complete response rate and overall response rate after four cycles of treatment were 22% and 50%, respectively. Sixteen cases (50.0%) had grades 1 and 2 toxicity, and 16 cases (50.0%) had grade 3 toxicity or higher. The most common adverse events were neutropenia (50.0%), pneumonia (46.9%), and anemia (43.8%). The most common grade 3 or higher adverse events were pneumonia (18.8%) and febrile neutropenia (12.5%). Four patients discontinued brentuximab vedotin because of severe adverse events. Conclusion BV is effective in treating relapsed and refractory CD30- positive Hodgkin's lymphoma and peripheral T-cell lymphoma, and its overall safety is acceptable.

Objective:To investigate the value of qualitative characteristics of contrast-enhanced ultrasound (CEUS) and VueBox quantitative parameters in the evaluation of pathological molecular typing of breast cancer.Methods:A retrospective analysis was performed on 133 patients with pathologically confirmed breast cancer who underwent CEUS examination in the People′s Hospital of Guangxi Zhuang Autonomous Region from January 2020 to July 2022. The patients were divided into Luminal A type, Luminal B type, human epidermal growth factor receptor-2(HER-2) type and triple negative type according to the results of immunohistochemistry. The differences of qualitative characteristics and quantitative parameters of CEUS in different molecular subtypes of breast cancer were analyzed. The ROC curve was used to evaluate the diagnostic efficacy of CEUS in the differentiation of molecular subtypes of breast cancer.Results:There were significant differences in enhancement intensity, post-enhancement boundary, filling defect and peripheral radial convergence among different molecular subtypes of breast cancer(all P<0.05), while there was no significant difference in enhancement uniformity ( P>0.05). Peak enhancement (PE), wash-in and wash-out areas under the curve (WiWoAUC), and wash-in ratio (WiR) of HER-2 type and triple-negative type breast cancer were higher than Luminal A type and Luminal B type (all P<0.05). ROC curve analysis showed that PE and radial convergence had reasonable diagnostic efficiency in Luminal A type, and the areas under the curve were 0.849 and 0.780, sensitivity was 0.711 and 0.889, specificity was 0.909 and 0.671, accuracy was 0.842 and 0.744, respectively. The areas under the curve of PE in diagnosing Luminal B type was 0.852, the sensitivity, specificity, and accuracy were 0.825, 0.763 and 0.782, respectively. The area under the curve of WiWoAUC and filling defect in diagnosing HER-2 type were 0.912 and 0.898, the sensitivity was 0.903 and 0.903, the specificity was 0.853 and 0.892, and the accuracy was 0.865 and 0.895, respectively. The area under the curve of clear boundary after enhancement in diagnosing triple negative type was 0.919, and the sensitivity, specificity and accuracy were 0.941, 0.897 and 0.902, respectively. Conclusions:There are differences in the qualitative characteristics and quantitative parameters of contrast-enhanced ultrasound in different molecular types of breast cancer. CEUS is suggested as a noninvasive modality for preoperative prediction of molecular subtypes of breast cancer.

Objective:To investigate the factors influencing the prognosis of anaplastic thyroid cancer (ATC) and to evaluate the application value of established random survival forest (RSF) model in the prognosis prediction of ATC.Methods:A total of 707 ATC patients diagnosed by histopathology in the Surveillance, Epidemiology and End Results (SEER) database of the National Cancer Institute from 2004 to 2015 were selected and randomly divided into the training set (495 cases) and the validation set (212 cases). Univariate Cox regression risk model was used to analyze the related factors affecting overall survival (OS) of patients in the training set. The multivariate Cox proportional risk model based on the minimum Akaike information criterion (AIC) was used to analyze the above variables and then the variables were screened out. The traditional Cox model for predicting OS was constructed based on the screened variables. The RSF algorithm was used to analyze the variables with P < 0.05 in the univariate Cox regression analysis, and 5 important features were selected. Multivariate Cox proportional risk model was selected based on the minimum AIC. Then the RSF-Cox model for predicting OS was constructed by using screened variables. The time-dependent receiver operating characteristic (tROC) curve and the area under the curve (AUC), calibration curve, decision curve and integrated Brier score (IBS) in the training set and the validation set were used to evaluate the prediction performance of the models. Results:Univariate Cox regression analysis showed that age, chemotherapy, lymph node metastasis, radiotherapy, surgical method, tumor infiltration degree, tumor number, tumor diameter and diagnosis time were factors affecting the prognosis of ATC (all P < 0.05). Multivariate Cox regression analysis based on minimal AIC (4 855.8) showed that younger age (61-70 years vs. > 80 years: HR = 0.732, 95% CI 0.56-0.957, P = 0.023; ≤ 50 years vs. > 80 years: HR = 0.561, 95% CI 0.362-0.87, P = 0.010), receiving chemotherapy (receiving or not: HR = 0.623, 95% CI 0.502-0.773, P < 0.001), receiving radiotherapy (receiving or not: HR = 0.695, 95% CI 0.559-0.866, P = 0.001), receiving surgery (lobectomy, no surgery or unknown: HR = 0.712, 95% CI 0.541-0.939, P = 0.016; total resection or subtotal resection vs. no surgery or unknown: HR = 0.535, 95% CI 0.436-0.701, P < 0.001), and tumor diameter (≤ 2 cm vs. > 6 cm: HR = 0.495, 95% CI 0.262-0.938, P = 0.031; > 2 cm and ≤ 4 cm vs. > 6 cm: HR = 0.714, 95% CI 0.520-0.980, P = 0.037; > 4 cm and ≤ 6 cm vs. > 6 cm: HR = 0.699, 95 % CI 0.545-0.897, P = 0.005) were independent protective factors for OS of ATC patients. Lymph node metastasis (N 1 unknown vs. N 0: HR = 1.664, 95% CI 1.158-2.390, P = 0.006; N 1b: HR = 1.312, 95% CI 1.029-1.673, P = 0.028), more aggressive tumor infiltration degree (group 3 vs. group 1: HR = 1.492, 95% CI 1.062-2.096, P = 0.021; group 4 vs. group 1: HR = 1.636, 95% CI 1.194 - 2.241, P = 0.002) were independent risk factors for OS of ATC patients. Although diagnosis time was not statistically significant (2010-2015 vs.2004-2009: HR = 1.166, 95% CI 0.962-1.413, P = 0.118), the inclusion of it could improve the efficacy of the traditional Cox model. RFS algorithm was used to select out 5 important variables: surgical method, tumor diameter, age group, chemotherapy, and tumor number. Multivariate Cox regression analysis based on minimum AIC (4 884.6) showed that chemotherapy (receiving or not: HR = 0.574, 95% CI 0.476-0.693, P < 0.001), surgical method (lobectomy, no surgery or unknown: HR = 0.730, 95% CI 0.567-0.940, P = 0.015; total resection or subtotal resection vs. no surgery or unknown: HR = 0.527, 95% CI 0.423-0.658, P < 0.001), tumor diameter (≤ 2 cm vs. > 6 cm: HR = 0.428, 95% CI 0.231-0.793, P = 0.007; > 2 cm and ≤ 4 cm vs. > 6 cm: HR = 0.701, 95% CI 0.513-0.958, P = 0.026; > 4 cm and ≤ 6 cm vs. > 6 cm: HR = 0.681, 95% CI 0.536-0.866, P = 0.002) were independent factors for OS of ATC patients. RSF-Cox model was constructed based on 3 variables. The tAUC curve analysis showed that RSF-Cox model for predicting the 6-month, 12-month, and 18-month OS rates were 93.56, 92.62, and 90.80, respectively in the training set, and 93.05, 92.47, and 90.20, respectively in the validation set; in the traditional Cox model, the corresponding OS rates were 89.00, 87.76, 85.24, respectively in the training set, and 86.22, 83.68, 82.86, respectively in the validation set. When predicting OS rate at 6-month, 12-month and 18-month, the calibration curve of RSF-Cox model was closer to 45° compared with that of traditional Cox model, and the clinical net benefit of decision curve in RSF-Cox model was higher than that in traditional Cox model. The IBS of RSF-Cox model (0.089) was lower than that of traditional Cox model (0.111). Conclusions:The RSF model based on chemotherapy, surgical method and tumor diameter can effectively predict the OS of ATC patients.

Objective:To develop an automated landmark location system applicable to the case of landmark missing.Methods:Four and eighty-one lateral cephalograms, which contained 240 males and 241 females, with an average age of (24.5±5.6) years, taken from January 2015 to January 2021 in the Department of Orthodontics, Capital Medical University School of Stomatology, and met the inclusion criteria were collected. Five postgraduate orthodontic students were the annotators to manually locate 61 possible landmarks in 481 lateral cephalograms. Two assistant professors in the department as reviewers performed calibration. Two professors as arbitrators, made final decision. Data sets were established (341 were used as training set, 40 as validation set, and 100 as test set). In this paper, an automatic landmarks identification and location model based on convolutional neural networks (CNN), CephaNET, was developed. The model was trained by feeding the original image into the feature extraction module and convolutional pose machine (CPM) module to locate landmarks with high accuracy using deep supervision. Training set was enhanced to 1 684 images by histogram equalization, cropping, and adjustment of brightness. The model was trained to compare the Gaussian heat maps output from the network with the set threshold to identify landmark missing cases. Test set of 100 lateral cephalograms was used to test the accuracy of the model. The evaluation criteria used were success detection rate of missing landmark, mean radial error (MRE) and success detection rate (SDR) in the range of 2.0, 2.5, 3.0, 3.5 and 4.0 mm.Results:The model identified and located 61 commonly used landmarks in 0.13 seconds on average. It had an average accuracy of 93.5% in identifying missing landmarks. The MRE of our testing set was (1.19±0.91) mm. SDR of 2.0, 2.5, 3.0, 3.5 and 4.0 mm were 85.4%, 90.2%, 93.5%, 95.4%, 97.0% respectively.Conclusions:The model proposed in this paper could adapt to the absence of landmark in lateral cephalograms and locate 61 commonly used landmarks with high accuracy to meet the requirements of different cephalometric analysis methods.