OBJECTIVE To form an expert consensus on the clinical application of parenteral direct thrombin inhibitors （DTIs） in patients during the perioperative period. METHODS Led by Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital （the Affiliated Hospital of UESTC）， a multidisciplinary working group was established. Through literature review and the Delphi method， clinical questions related to the rational perioperative use of parenteral DTIs were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” framework； systematic searches were conducted in CNKI， Medline， Embase and other databases. Relevant evidence from randomized controlled trials and cohort studies was included and synthesized. Evidence quality was assessed using the Grades of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through multiple rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven recommendations （each with an expert consensus rate exceeding 90%） on the use of parenteral DTIs in perioperative patients were developed. These recommendations specify drug selection， dosing ranges， key monitoring points， and safety management strategies for parenteral DTIs in various scenarios， including the perioperative period of ventricular assist device implantation， the perioperative period of cardiac surgery， perioperative patients with lower-extremity atherosclerotic disease， the perioperative period of percutaneous coronary intervention in patients with acute coronary syndrome， the perioperative period of carotid artery stenting in patients with carotid stenosis， the perioperative period of patients with right heart thrombosis， and patients who develop related thrombosis and dysfunction after a central venous catheter insertion. In addition， warning and management pathways for perioperative bleeding and thrombotic events were proposed. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in perioperative period.

OBJECTIVE To investigate the influence of CYP2C19 gene polymorphism on platelet function and inflammatory cytokines in elderly patients with ischemic stroke， and to analyze potential factors associated with poor prognosis. METHODS A retrospective study was conducted on elderly patients with ischemic stroke admitted to our hospital from June 2024 to June 2025， wh o underwent CYP2C19 genotype testing and received antiplatelet therapy with clopidogrel. The levels of platelet function indicators and inflammatory cytokines before and after treatment were compared among patients with different metabolic phenotypes. Based on the prognosis at 6 months post-treatment， patients were divided into poor prognosis group and good prognosis group. Univariate analysis was performed on general data， metabolic phenotype， the levels of platelet function indicators and inflammatory cytokines. Variables with P ＜0.05 and the levels of inflammatory cytokines before treatment were included in a multivariate Logistic regression analysis to identify independent risk factors for poor prognosis. Multiple linear regression was used to further analyze the relationship between metabolic phenotypes and inflammatory cytokines. RESULTS A total of 448 elderly patients with ischemic stroke were included； among them， 162 cases were normal metabolic phenotype， 218 were intermediate metabolic phenotype， and 68 were poor metabolic phenotype. No rapid or ultrarapid metabolic phenotypes were observed. After treatment， platelet aggregation rate， the levels of P-selectin and platelet activated complex-1 （PAC-1）， high-sensitivity C-reactive Protein （hs-CRP）， interleukin-1β （IL-1β）， IL-6 and tumor necrosis factor-α （TNF-α） in the normal metabolic phenotype group， intermediate metabolic phenotype group， and poor metabolic phenotype group （except for platelet aggregation rate， and the levels of P-selectin and PAC-1 in the poor metabolic phenotype group） were significantly lower than those before treatment in the same group. Moreover， the above indicators in the normal metabolic phenotype group were significantly lower than those in the intermediate and poor metabolic phenotype groups at the corresponding time， and the levels of platelet function indicators in the intermediate metabolic phenotype group were significantly lower than those in the poor metabol ic phenotype group at the corresponding time （ P ＜0.05）. Univariate and multivariate Logistic regression analyses showed that combined with hypertension， combined with diabetes mellitus， and intermediate or poor metabolic genotypes were independent risk factors for poor prognosis in elderly patients with ischemic stroke （ P ＜0.05）. Multiple linear regression analysis showed that serum levels of hs-CRP， IL-1β， IL-6 and TNF-α before treatment were significantly higher in patients with intermediate and poor metabolic genotypes compared to those with normal metabolic genotype （ P ＜0.05）， with a greater magnitude of increase in inflammatory cytokines observed in the patients with poor metabolic genotype. CONCLUSIONS The elderly ischemic stroke patients with CYP2C19 intermediate and poor metabolic genotypes have poor inhibition effect on platelet and higher levels of inflammatory cytokines than normal metabolic genotype； CYP2C19 gene polymorphism， and in combination with hypertension and diabetes， can be used as independent predictors of poor prognosis.

ObjectiveTo evaluate the impact of stroke on diaphragmatic function by ultrasound. MethodsFrom April, 2024 to June, 2025, 40 stroke patients (stroke group) were recruited in Xuanwu Hospital Capital Medical University. Additionally, 40 sex- and age-matched healthy subjects (control group) were recruited without directional selection. Diaphragmatic excursion and diaphragmatic thickness during quiet breathing and deep breathing were assessed using ultrasound in both groups, and the diaphragmatic thickening fraction was calculated. The stroke group was further divided into two subgroups according to disease course: ≤ 30 days group and > 30 days group, for subgroup analysis. ResultsDuring both quiet and deep breathing, diaphragmatic excursion on the affected side in the stroke group was smaller than that on the unaffected side and in the control group (P < 0.05). During quiet breathing, diaphragmatic thickening fraction on the affected side in the stroke group was smaller than that on the unaffected side and in the control group (P < 0.05), while the diaphragmatic thickening fraction on the unaffected side was significantly smaller than that in the control group (P < 0.01). During deep breathing, the bilateral diaphragmatic thickening fraction in the stroke group was significantly smaller than that in the control group (P < 0.001), and the bilateral end-inspiratory diaphragmatic thickness was significantly smaller than that in the control group (P < 0.001). During quiet breathing, diaphragmatic excursion in both the ≤ 30 d group and the > 30 d group was smaller than that in the control group (P < 0.05); during deep breathing, diaphragmatic excursion in the ≤ 30 d group was smaller than that in the control group (P < 0.05). In both quiet breathing and deep breathing, the diaphragmatic thickening fraction in the ≤ 30 d group and the >30 d group were lower than those in the control group (P < 0.05). During deep breathing, end-inspiratory diaphragmatic thickness in both the ≤ 30 d group and the > 30 d group was significantly smaller than that in the control group (P < 0.01). ConclusionUltrasound can effectively identify the impact of stroke on patients' diaphragmatic function. In stroke patients, both diaphragmatic excursion and contractile performance are reduced on the affected side, while contractile performance is also reduced on the unaffected side.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To develop a postoperative precision nursing program for children with obstructive sleep apnea-hypopnea syndrome(OSAHS),so as to provide references for the improvement of nursing quality for children with OSAHS.Methods Literature in precision nursing for children with OSAHS was systematically reviewed and summarised based on precision nursing theory and a postoperative precision nursing program was drafted.Using the Delphi's Method,two rounds of expert consultation were conducted and the postoperative precision nursing program for children with OSAHS was revised and finalised.Results The response rates of the two rounds of expert consultation were 100.00%with the expert authority coefficient of 0.875.The Kendall coefficient of concordance(W)of levels 1,2 and 3 indices in the second round of expert consultation were 0.289,0.203,0.187,respectively(all P<0.01).The importance score of each inclicator ranged from 4.50～4.94.The coefficient of variations for the three-level indices ranged from 0.05 to 0.21.The finalised program composed 8 level-1 indices(postoperative position assessment,intervention,prevention and care of bleeding,maintaining postoperative airway patency,postoperative nausea and vomiting care,postoperative pain assessment and care,dietary care,complication prevention and care,discharge guidance),16 level-2 indices,and 22 level-3 indices.Conclusion The postoperative precision nursing program for the children with OSAHS is scientific,innovative and applicable.It provides clinical references for nursing of the children with OSAHS.

[Purpose]To analyze cancer incidence and mortality in Liaoning cancer registration areas from 2016 to 2020 and the trends from 2006 to 2020.[Methods]Cancer data in cancer registra-tion areas in Liaoning Province from 2016 to 2020 were collected.The incidence and mortality,age-standardized rate,cumulative rate(0～74 years old),and age-specific rate were calculated.Age-standardized incidence and mortality rate were calculated by the Chinese standard popula-tion(ASIRC,ASMRC)and Segi world standard population(ASIRW,ASMRW).Joinpoint software was applied to analyze the trends of incidence and mortality.[Results]From 2016 to 2020,the crude incidence rate of cancer in Liaoning cancer registration areas was 422.30/105,the ASIRC and ASIRW were 215.67/105 and 209.52/105.The ASIRC was higher in urban areas(225.00/105)than that in rural areas(190.15/105),and higher in male(221.47/105)than that in female(213.03/105).The crude mortality rate was 254.22/105,the ASMRC and ASMRW were 113.26/105 and 112.91/105.The ASMRC in urban areas(113.12/105)was the same as that in rural areas(113.01/105),and higher in male(146.86/105)than that in female(83.46/105).The ASIRW of lung cancer was 46.13/105,and the ASMRW was 32.04/105,both ranking the first of all cancers.From 2006 to 2020,the crude incidence,ASIRC and ASIRW in urban areas showed an increasing trend(AAPC=3.921％,t=16.222,P＜0.05;AAPC=0.823％,t=2.409,P＜0.05;AAPC=0.875％,t=2.933,P＜0.05).The crude incidence,ASIRC and ASIRW in urban female were all rising(AAPC=4.151％,t=15.888,P＜0.05;AAPC=1.597％,t=4.819,P＜0.05;AAPC=1.514％,t=4.752,P＜0.05).During the same period,the cancer mortality in urban areas showed an increasing trend(AAPC=3.175％,t=14.745,P＜0.05),and the ASMRW showed a decreasing trend(AAPC=-0.908％,t=-2.273,P＜0.05).The crude mor-tality of both men and women showed an increasing trend(AAPC=3.010％,t=6.032,P＜0.05;AAPC=2.820％,t=5.921,P＜0.05),while the crude mortality and ASMRW for female showed a significant downward trend(AAPC=-1.487％,t=-2.437,P＜0.05;AAPC=-2.680％,t=-2.246,P＜0.05).From 2016 to 2020,the crude incidence,ASIRC and ASIRW in rural areas showed no significant change;however,the crude incidence in male was increasing(AAPC=2.025％,t=3.853,P＜0.05).In the same period,the crude mortality rate in rural areas increased(AAPC=3.577％,t=9.377,P＜0.05),while there was no significant change in the ASMRC and ASMRW.The crude mortality of both men and women showed an increasing trend(AAPC=3.377％,t=10.615,P＜0.05;AAPC=3.978％,t=7.245,P＜0.05),while there was no significant change in ASMRC and ASMRW.[Conclusion]The cancer burden in Liaoning from 2016 to 2020 was higher than the average level in China,can-cer prevention and control should be further strengthened in the provice.

Objective To develop a postoperative precision nursing program for children with obstructive sleep apnea-hypopnea syndrome(OSAHS),so as to provide references for the improvement of nursing quality for children with OSAHS.Methods Literature in precision nursing for children with OSAHS was systematically reviewed and summarised based on precision nursing theory and a postoperative precision nursing program was drafted.Using the Delphi's Method,two rounds of expert consultation were conducted and the postoperative precision nursing program for children with OSAHS was revised and finalised.Results The response rates of the two rounds of expert consultation were 100.00%with the expert authority coefficient of 0.875.The Kendall coefficient of concordance(W)of levels 1,2 and 3 indices in the second round of expert consultation were 0.289,0.203,0.187,respectively(all P<0.01).The importance score of each inclicator ranged from 4.50～4.94.The coefficient of variations for the three-level indices ranged from 0.05 to 0.21.The finalised program composed 8 level-1 indices(postoperative position assessment,intervention,prevention and care of bleeding,maintaining postoperative airway patency,postoperative nausea and vomiting care,postoperative pain assessment and care,dietary care,complication prevention and care,discharge guidance),16 level-2 indices,and 22 level-3 indices.Conclusion The postoperative precision nursing program for the children with OSAHS is scientific,innovative and applicable.It provides clinical references for nursing of the children with OSAHS.

BACKGROUND:Studies have found that massage can reduce blood sugar,promote myogenic factor expression,and increase skeletal muscle content.The extracellular matrix is an important component of skeletal muscle,and association between massage and extracellular matrix and their mechanism of action are still unclear.OBJECTIVE:To explore the effect of massage on extracellular matrix collagen deposition in type 2 diabetic sarcopenia rats.METHODS:Totally 24 Wistar male rats were randomly divided into blank group,model group,and massage group.High-fat diet combined with the streptozotocin method was used to establish a type 2 diabetes mellitus and sarcopenia model.After successful model establishment,the massage group used abdominal massage combined with hind limbs.After 8 weeks of treatment,the fasting blood glucose and serum insulin levels of the rats were measured.The skeletal muscle mass was detected by dual-energy X-ray.The exhaustion time was measured by small animal treadmill.The sliding angle was measured by inclined board test.The pathological changes of skeletal muscle tissue were observed by hematoxylin-eosin staining.The skeletal muscle collagen deposition was observed by Masson staining.The mRNA and protein expressions of type Ⅰ and type Ⅲ collagen in skeletal muscle were detected by qPCR and western blot assay.RESULTS AND CONCLUSION:(1)Compared with the model group,the blood glucose(P＜0.05)and serum insulin(P＜0.01)decreased in the massage group.(2)Compared with the model group,the skeletal muscle mass,running exhaustion time,and the angle of inclined plate experiment were increased in massage group(P＜0.05).(3)Compared with the model group,the skeletal muscles of the massage group were arranged neatly,muscle atrophy was improved,and collagen fiber deposition was reduced.(4)Compared with the model group,the expression levels of type Ⅰ and type Ⅲ collagen mRNA and protein in skeletal muscle were decreased in the massage group(P＜0.05).(5)The results suggest that massage can enhance insulin sensitivity,lower blood sugar,improve skeletal muscle mass,strength and function,and diminish collagen deposition in rats with type 2 diabetes,and may be a potential target for massage to exert its therapeutic effects.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

OBJECTIVE To evaluate the cost-effectiveness of finerenone combined with standard of care （SoC） in the treatment of heart failure with mildly reduced ejection fraction （HFmrEF） or preserved ejection fraction （HFpEF）. METHODS Based on a phase Ⅲ clinical trial， a Markov model was constructed from the perspective of China’s healthcare system to compare the treatment outcomes of finerenone combined with SoC regimen versus SoC regimen alone in the treatment of different cardiac functional statuses of HFmrEF/HFpEF. Using quality-adjusted life year （QALY） as the health output index， 3 times China’s per capita GDP in 2023 as the willingness-to-pay （WTP） threshold， a simulation was conducted with a 3-month cycle length and a 10- year time horizon， incorporating an annual discount rate of 5%. The dynamic changes across various stages of HFmrEF/HFpEF treated with finerenone combined with SoC versus SoC alone were simulated to evaluate the long-term effectiveness and costs of the two treatment strategies. Additionally， one-way sensitivity analysis and probabilistic sensitivity analysis were performed， to test the robustness of the results. RESULTS The incremental cost-effectiveness ratio （ICER） of the finerenone combined with SoC regimen versus SoC regimen alone was 179 504.75 yuan/QALY， which was below the WTP threshold set in this study， indicating that the finerenone combined with SoC regimen possessed certain economic advantages. The results of one-way sensitivity analysis showed that the utility value of NYHA Ⅱ status， the drug price of finerenone， the discount rate， and the probability of hospital transfer for both groups had a great influence on ICER， but did not affect the robustness of the model. The probabilistic sensitivity analysis also confirmed the robustness of the model. CONCLUSIONS Under the WTP threshold set in this study， finerenone combined with SoC is cost-effective in the treatment of HFmrEF/HFpEF， compared with the SoC regimen.