Objective To explore the risk prediction model of major adverse cardiovascular events (MACE) in community patients with hypertension based on remote ambulatory blood pressure parameters. Methods From November 2023 to October 2024, 486 community patients with hypertension who received standardized management in Nanjing Medical University Affiliated to Suzhou Hospital were retrospectively selected. All patients wore remote ambulatory blood pressure monitor to obtain 24-hour ambulatory blood pressure data. Clinical data were collected and remote ambulatory blood pressure parameters [24-hour systolic blood pressure variability (SBPV), 24-hour diastolic blood pressure variability (DBPV), nighttime SBPV, nighttime DBPV, daytime SBPV, daytime DBPV] were extracted. The patients were followed up for 12 months, and were classified into MACE group (n=42) and non-MACE group (n=444) according to whether MACE occurred during follow-up. Multivariate Logistic regression analysis was adopted to screen the influencing factors for MACE. Based on the above factors, a risk prediction model was constructed and verified by receiver operating characteristic (ROC) curve. Results MACE occurred in 42 cases among 486 patients, with an incidence rate of 8.64%. Multivariate Logistic regression analysis suggested that nighttime DBPV (OR=1.119, 95%CI: 1.030-1.214), 24h-SBPV (OR=1.115, 95%CI: 1.007-1.235), nighttime SBPV (OR=1.116, 95%CI: 1.016-1.226) and diabetes mellitus (OR=2.762, 95%CI: 1.059-7.203) were independent factors for MACE (P<0.05). The model validation results revealed that the area under the ROC curve was 0.905 (95%CI: 0.854-0.956 ), and the model had a good discrimination degree. Conclusion Nighttime DBPV, 24h-SBPV, nighttime SBPV and diabetes mellitus are independent risk factors for MACE in community patients with hypertension. The clinical prediction model based on these variables exhibits certain predictive value on MACE risk.

Objective To explore the association between serum uric acid levels and the cumulative incidence risk of atrial fibrillation, and to evaluate the predictive value of different uric acid levels for the onset of atrial fibrillation. Methods A retrospective selection of 451 879 participants from the large-scale prospective epidemiological cohort UK Biobank, aged 40-69 years, all completed a median follow-up of 13.6 years. Participants were divided into groups based on the interquartile range of serum uric acid levels (Q1–Q4) related to gender and whether they were diagnosed with hyperuricemia. Cox proportional hazards model, sensitivity analysis, and other methods were used to compare baseline data and atrial fibrillation incidence during follow-up among each group of participants. Results Individuals with higher baseline uric acid levels tended to be older, more obese, and had lower education levels and a history of cancer, along with significantly higher levels of triglyceride, low-density lipoprotein cholesterol, and C-reactive protein, but lower high-density lipoprotein cholesterol levels (P<0.001); the highest uric acid group showed the highest diabetes prevalence (6.49%). Participants with higher serum uric acid levels (log-rank P<0.05) or diagnosed with hyperuricemia had significantly higher incidence of atrial fibrillation (P<0.001). After adjusting for potential confounders, compared to Q1 uric acid level group, the Q4 level was associated with a 20% increased risk of atrial fibrillation (HR=1.20, 95%CI 1.16–1.25). Each 74.7 μmol/L increase in uric acid level was associated with a 9% increased incidence risk of atrial fibrillation (HR=1.09, 95%CI 1.08–1.11). Individuals with hyperuricemia had a 20% increased incidence risk of atrial fibrillation (HR=1.20, 95%CI 1.17–1.24). A nonlinear association was observed between uric acid levels and the incidence risk of atrial fibrillation (P for nonlinearity <0.01). Subgroup analysis indicated significant heterogeneity of the risk effect across subgroups, with a higher risk associated with hyperuricemia in females. Conclusions Elevated blood uric acid levels may increase the cumulative risk of atrial fibrillation, and this pathogenic effect is significantly correlated with age, race, cancer history, body mass index, and sex.

Objective To explore the impact of policy instruments and innovation on the informatization of rural health service system.Methods Central government policy documents related to the informatization of rural health service system,publicly released between 2009 and 2023,were collected using web crawler tools.Keyword extraction was conducted through word frequency analysis and term frequency-inverse document frequency(TF-IDF)calculation.Content analysis of policy texts was carried out from the dual perspectives of policy instruments and the policy innovation process.An exponential growth model was used to fit the evolutionary trend.Results Among the 45 central policies included,policy instruments were used 178 times in total.The demand-side policy instruments accounted for the highest proportion(71 times,39.89％),reflecting policy responsiveness to the diversified needs of rural healthcare services.The supply side policy instruments have been used a total of 51 times,with the"information system and infrastructure construction"policy instrument being the most frequently(33 times),indicating a national focus on enhancing investment in digital infrastructure and technology.In terms of the policy innovation process,policy instruments were primarily utilized during the adoption stage of policy ideas(55.06％),followed by the implementation stage(38.20％),with the initiation stage being the least influenced(6.74％).The initiation stage was relatively evenly influenced by all 3 types of policy instruments;the adoption stage was mainly influenced by demand-side instruments,while the implementation stage was dominated by supply-side instruments.This trend reflected a policy shift in recent years from value guidance toward practical operability and implementation,demonstrating alignment with the real-world needs of advancing digital technology and improving governance capacity.Conclusion Different policy instruments exhibit stage-specific effectiveness in driving informatization innovation,indicating the need to precisely align instruments with each phase of the policy innovation process to advance informatization in a targeted manner.Top-level policy documents should be refined to clearly define relevant policy concepts.Additionally,execution pathways must be detailed to accelerate infrastructure development in remote and economically disadvantaged regions.

Post-traumatic stress disorder (PTSD),with the principal manifestations as invasive thinking,avoidance,negative emotions and cognition,and increased alertness,is a psychological disorder occurring after traumatic events. Sleep disorders are also considered as one of the core characteristics of PTSD. Previous studies have partly revealed the relationship between PTSD and sleep disorders,but the physiological mechanism of the relationship is still unclear. This article provides an overview of the clinical and physiological characteristics of PTSD and sleep disorders. Based on this,the bidirectional relationship between PTSD and sleep disorders is discussed,and the relevant physiological and brain mechanisms of the relationship between them are further explored. Future research needs to explore the neurophysiological mechanisms underlying the bidirectional relationship between PTSD and sleep by exploring the brain regions and neural circuits associated with both PTSD and sleep,providing more information and methods for the prevention and treatment of PTSD and sleep disorders.

Objective To construct a perioperative exercise program for older frail patients with colorectal cancer,and to verify its effect.Methods Based on Goal-directed Theory and literature review,expert consultation was carried out to establish the perioperative exercise program for older frail patients with colorectal cancer.Then,from July to December 2022,the perioperative exercise program was established for older frail patients with colorectal cancer hospitalized in the General Surgery Department of a tertiary A hospital in Suzhou by convenience sampling method for preliminary application.It was divided in to the intervention group and the control group by the ward.The intervention group was applied with the constructed perioperative exercise program on the basis of routine perioperative nursing.The safety,feasibility and intervention effect of the program were evaluated.Results 15 experts were included for 2 rounds of expert consultations.The authority coefficient was 0.880;the coefficient of variation was＜0.250;the Kendall concordance coefficient was 0.167 and 0.224,respectively.The final program contained 4 stages:preoperative exercise,postoperative bed rest,sitting and standing exercise.In the end,54 specific interventions were constructed.During the preliminary application,all the patients completed the program.Generalized estimation equation showed that,on the interaction effect,there was no statistical difference(P=0.752);there were significant differences on the intervention effect and the time effect(P＜0.05).At discharge,there were significant differences in timed up and go test and Barthel Index between the 2 groups(P＜0.05).Only 2 patients experienced mild pain in the intervention group,and no other adverse events occurred.Conclusion The perioperative exercise program for older frail patients with colorectal cancer,based on Goal-directed Theory,is scientific,reliable and safe.It has been preliminarily verified in improving postoperative physical function,activities of daily living and early postoperative recovery of elderly frail patients with colorectal cancer.

Background: Glycolytic function is obviously related to the proliferation, metastasis and drug resistance of colorectal cancer, and there is still a lacking of corresponding indicators for quantitatively evaluating the level of glycolysis. Aims: To investigate the correlation between