Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective To explore the relationship between blood pressure at baseline and significant decline in cognitive function after 4 years in middle-aged and elderly people in rural Xi'an,and the potential effect of age on the relationship.Methods Data were collected from a cohort of middle-aged and elderly people with cognitive impairment in rural Xi'an,Shaanxi Province.The cohort consisted of people aged≥40 years from a village in Huyi District,Xi'an.The baseline survey was completed between October 2014 and March 2015,and two follow-up visits were conducted in 2016 and 2018.Blood pressure parameters studied included hypertension and high systolic blood pressure(≥140 mmHg vs.＜140 mmHg),and high diastolic blood pressure(≥90 mmHg vs.＜90 mmHg).The Mini-Mental State Examination(MMSE)was used to assess the whole cognitive function,and the decline of MMSE score ≥4 points in 4 years was defined as significant decline of cognitive function.Multivariate Logistic regression was used to analyze the relationship between blood pressure and cognitive function at baseline.Subgroup analysis was used to study the effect of age(＜65 vs.≥65 years)on the relationship.Results We recruited a total of 1 350 subjects in the analysis,including 235 subjects(17.4％)with baseline age ≥65 years and 533 male subjects(39.5％);671 subjects(49.7％)had hypertension,with systolic blood pressure of(131.71±17.79)mmHg;840 subjects(62.2％)had high systolic blood pressure,with diastolic blood pressure of(82.18±10.56)mmHg;395(29.3％)had high diastolic blood pressure.During the 4-year follow-up,56 cases(4.2％)met the criteria for significant decline of cognitive function.We did not find significant association of hypertension and high systolic blood pressure with cognitive decline in the general population,＜65-year-old subgroup,or ≥ 65-year-old subgroup.The incidence of significant cognitive decline was not statistically significant in the total population(3.6％vs.5.6％,P=0.092),the ≥65-year-old subgroup(7.5％vs.8.2％,P=0.855),the normal diastolic blood pressure group,or the high diastolic blood pressure group.However,in the subgroup＜65 years,the incidence of cognitive decline was higher in the high diastolic blood pressure group than in the normal diastolic blood pressure group(2.7％vs.5.1％,P=0.043).Multivariate analysis showed that high diastolic blood pressure was not found to be associated with significant cognitive decline in the total population(OR=1.744,95％CI:0.953-3.192,P=0.071),the subgroup of ≥65 years old(OR=0.858,95％CI:0.221-3.338,P=0.825),or the subgroup of ≥65 years old.In the＜65 age group,high diastolic blood pressure was significantly associated with cognitive decline(OR=2.051,95％CI:1.005-4.186,P=0.048).Conclusion High diastolic blood pressure is associated with 4-year cognitive decline in people aged 40-65 years,but not in those aged ≥65.No association is found between hypertension or high systolic blood pressure and significant cognitive decline.

Objective To investigate the relationship between baseline serum lipid levels and cognitive decline after a 4-year follow-up in a cohort of middle-aged and elderly people in rural Xi'an.Methods The data were collected from the cognitive impairment cohort of middle-aged and elderly people in rural areas of Xi'an,Shaanxi Province.The cohort selected the population ≥40 years old in two villages of Huyi District,Xi'an,as the research subjects.The baseline survey was completed from October 2014 to March 2015,and two follow-up visits were conducted in 2016 and 2018.The Mini-Mental State Examination(MMSE)was applied to assess the overall cognitive function.The MMSE score dropping between the 2014 and 2018(△MMSE)≥2 points were defined as cognitive decline.Baseline lipid levels[total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-c),low-density lipoprotein cholesterol(LDL-c)]were converted into three classification data based on 25％quantile and 75％quantile[Q1(≤25％)vs.Q2-Q3(25％-75％)vs.Q4(≥75％)],and using the Q2-Q3 group as the reference group.The relationship between serum lipid levels and cognitive decline at baseline was analyzed by multivariate Logistic regression.Interaction effect analysis and subgroup analysis were made to investigate the interaction effect of age(＜65 years vs.≥65 years)on the relationship between serum lipid and cognitive decline.Results There were 1 349 participants with complete baseline data,and 235(17.42％)were ≥65 years old at baseline;230 cases(17.05％)had cognitive decline.No significant association was found between TC,TG,LDL-c,HDL-c and cognitive decline in subgroups＜65 years of age.In the subgroup ≥65 years of age,the Q1(≤4.37 mmol/L)group of TC was not significantly associated with the risk of cognitive decline compared with the Q2-Q3(4.37-5.61 mmol/L)group of TC,but the Q,(≥5.61 mmol/L)group of TC was significantly associated withan increased risk of cognitive decline(OR=2.519,95％CI:1.217-5.214,P=0.013).Age had an interactive effect on the relationship between the Q4 group of TC and cognitive decline(OR=2.202,95％CI:1.111-4.363,P=0.024).Compared with the Q2-Q3(1.03-2.01 mmol/L)group of TG,the Q,(≤ 1.03 mmol/L)group of TG was associated with a lower risk of cognitive decline(OR=0.318,95％CI:0.120-0.838,P=0.020).Age had an interactive effect on the relationship between the Q1 group of TG and cognitive decline(OR=0.344,95％CI:0.132-0.896,P=0.029).However,there was no significant correlation between the Q4(≥2.01 mmol/L)group of TG and the risk of cognitive decline.Compared with the Q2-Q3(2.70-3.81 mmol/L)group of LDL-c,the Q1(≤ 2.70 mmol/L)group of LDL-c was not significantly associated with the risk of cognitive decline,but the Q4(≥3.81 mmol/L)group of LDL-c had significant association with an increased risk of cognitive decline(OR=2.367,95％CI:1.143-4.900,P=0.020).Age had an interactive effect on the relationship between the Q4 group of LDL-c and cognitive decline(OR=2.237,95％CI:1.134-4.415,P=0.020).No significant association was found between HDL-c and cognitive decline.Conclusion No significant association was found between HDL-c and cognitive decline at baseline.The relationship of TC,TG and LDL-c with cognitive decline was affected by age.Only in participants over 65 years old,the risk of cognitive decline was higher in those with high baseline levels of TC and LDL-c.Those with low baseline serum TG levels had a lower risk of cognitive decline.

Objective To investigate the effect of lifestyle on cognitive decline in rural people aged 40 years and older in Xi'an.Methods This was a prospective cohort study.People aged 40 years and older in two villages in Huyi District were selected as the study population.They completed the baseline survey from October 2014 to March 2015 as well as two follow-up visits in 2016 and 2018,respectively.A comprehensive score of lifestyle was calculated based on factors including smoking,drinking,exercise,and diet collected at the baseline.The Mini-Mental State Examination(MMSE)was used to evaluate global cognitive function at both baseline and follow-up;a≥4-point decrease in MMSE score from the baseline was defined as marked cognitive decline.Multivariable Logistic regression,propensity score correction,and propensity score matching were used to investigate the relationship between lifestyle and cognitive decline.Results A total of 1 348 participants were ultimately enrolled and 56(4.2％)of them met the criteria for marked cognitive decline(△MMSE≥4-points).Among them,386(28.6％)people had smoking history,184(13.6％)were drinkers,214(15.9％)lacked physical activity,and 400(29.7％)ate a diet high in oil and salt.Generally,304(22.6％)met the definition of the unhealthy lifestyle(comprehensive score＜6),which means more than one of the four subscales was unhealthy or more than two were relatively unhealthy.Multivariable Logistic regression analysis showed that unhealthy lifestyle was positively associated with marked cognitive decline(OR=2.838,95％CI:1.302-5.525,P=0.005).Propensity-score adjusted model yielded very similar results(OR=2.786,95％CI:1.371-5.661,P=0.005).Propensity score matching was performed to further balance the differences in covariates between the two groups.Multivariate Logistic regression analysis conducted in the matched population revealed that the risk of marked cognitive decline was still higher in those with unhealthy lifestyle(OR=3.994,95％CI:1.582-12.176,P=0.006).Conclusion Unhealthy lifestyle is associated with an increased risk of cognitive decline in cognitively normal people aged 40 years and older.

Objective To investigate the predictive value of PCSK9 gene rs562556 polymorphism for major adverse cardiovascular events(MACE)after percutaneous coronary intervention(PCI)in patients with type 2 diabetes mellitus(T2DM)complicated by acute myocardial infarction(AMI).Methods A total of 97 patients were involved in this study with T2DM complicated by AMI,who underwent PCI at The Third Affiliated Hospital of Qiqihar Medical University between January 2019 and December 2021.Based on MACE occurrence during a 2-year follow-up period,patients were divided into non-MACE group and MACE group(n=57 and 40,respectively).Clinical biochemical parameters,including blood glucose and lipid levels,were recorded.Plasma PCSK9 levels were assessed using enzyme-linked immunosorbent assay.Plasma PCSK9 gene rs562556 polymorphism was detected through sequencing.Kaplan-Meier curve analysis was performed to assess how rs562556 polymorphism impacts MACE incidence post-PCI.Multivariate logistic regression was applied to identify independent MACE-associated risk factors.ROC curve analysis was performed to evaluate the predictive value of rs562556 poly-morphism and key clinical variables for MACE occurrence post-PCI.Results Compared to the non-MACE group,patients in the MACE group exhibited significantly higher age,heart rate,creatinine,NT-proBNP,LDL-C,and plasma PCSK9 levels,along with higher hyper-tension and coronary atherosclerotic heart disease prevalence,and lower diastolic blood pressure(all P＜0.05).In patients with T2DM and AMI,the rs562556 genotype AA of the PCSK9 gene positively correlated with plasma PSCK9 levels(r=0.61,P＜0.000 1).The frequen-cies of the rs562556 genotype AA and allele A were significantly higher in the MACE compared to the non-MACE group(P＜0.05).The AA genotype of the PCSK9 gene rs562556 was associated with an increased risk of MACE during follow-up in patients with T2DM and AMI(P＜0.05).After adjusting for other confounding variables,advanced age,increased NT-proBNP and PCSK9 levels,and the rs562556 AA genotype were identified as independent risk factors for MACE post-PCI in this patient population.Combined analysis of these factors demonstrated superior predictive value for MACE occurrence compared to individual markers.Conclusion The PCSK9 gene rs562556 genotype AA is associated with a significantly increased risk of MACE within two years post-PCI in patients with T2DM and AMI,sug-gesting that it could serve as a promising predictive biomarker for post-PCI MACE in the given population.

Objective:To systematically evaluate and integrate the exercise experience of overweight or obese pregnant women during pregnancy, in order to provide basis for the formulation of standardized exercise programs for this population.Methods:We searched databases including PubMed, Cochrane Library, Web of Science, CINAHL, Embase, Ovid, PsycINFO, Chinese Biomedical Literature Database, VIP, Wanfang and China National Knowledge Infrastructure, from their inception to August 16, 2023, to collect qualitative studies on the exercise experience of overweight or obese pregnant women during pregnancy. The quality of included studies was evaluated according to Joanna Briggs Institute Critical Appraisal Tool for qualitative studies in Australia. The results were integrated by integrating methods.Results:A total of 11 studies were included. Sixty-one complete findings were grouped according to similarities to form 9 new categories. These categories resulted in 3 synthesized findings. Pregnant women with overweight or obesity were affected by promoting and hindering factors; careful balance of exercise risk and benefit for overweight or obese pregnant women during pregnancy; expectations and needs of overweight or obese pregnant women for exercise during pregnancy.Conclusions:Overweight or obese pregnant women highly rated the benefits and importance of exercise, but their participation and adherence to exercise is challenging. Medical staff should pay attention to the exercise experience of overweight or obese pregnant women during pregnancy, understand the driving factors and obstacles of exercise for overweight or obese pregnant women, in order to provide standardized and personalized exercise guidance programs for overweight or obese pregnant women.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.