Background Ambient air pollution is a major environmental risk factor for cardiovascular disease (CVD). However, epidemiological evidence regarding the modifying effect of a healthy lifestyle on the association between air pollution and CVD remains inconsistent. Objective To investigate the modifying effect of a healthy lifestyle on the association between exposure to air pollutants and CVD risk, to provide evidence for targeted prevention strategies. Methods Databases including PubMed, Web of Science, Embase, the Cochrane Library, CNKI, and Wanfang were systematically searched for epidemiological studies published from January 2011 to August 2025. The quality of included studies was assessed, and relevant data were extracted. A meta-analysis was performed to examine the association between air pollutant exposure and CVD outcomes, as well as the modifying effect of a healthy lifestyle. Results A total of 24 studies were included. The meta-analysis demonstrated that each 10 μg·m⁻³ increase in the concentration of ultrafine particulate matter (PM₁), fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), and ozone (O₃) was associated with pooled relative risks (RRs) for CVD morbidity of 1.176 (95%CI: 1.007, 1.373), 1.167 (95%CI: 1.035, 1.315), 1.030 (95%CI: 1.012, 1.048), 1.093 (95%CI: 1.039, 1.150), 1.014 (95%CI: 0.996, 1.032), and 1.216 (95%CI: 0.901, 1.641), respectively; each 10 mg·m⁻³ increase in the concentration of carbon monoxide (CO) was associated with a pooled RR for CVD morbidity of 1.005 (95%CI: 1.005, 1.006). For CVD mortality, each 10 μg·m⁻³ increase in PM_2.5, PM₁₀, and NO₂ yielded pooled RRs of 1.188 (95%CI: 1.032, 1.367), 1.137 (95%CI: 0.953, 1.357), and 1.038 (95%CI: 1.011, 1.066), respectively; for SO₂ and O₃, where only a single study was available, RRs were 1.068 (95%CI: 1.030, 1.108) and 1.010 (95%CI: 0.996, 1.024) per 10 μg·m⁻³ increase, respectively; for CO, where also only a single study was available, the RR was 1.002 (95%CI: 1.001, 1.003) per 10 mg·m⁻³ increase. Adherence to a healthy lifestyle significantly modified the PM_2.5-associated CVD risk. Specifically, compared to healthy behaviors, unhealthy factors including smoking, low-quality diet, and physical inactivity exacerbated this risk, with relative effect sizes (RES; ratio of hazard ratios of the unhealthy group to the healthy group) of 1.016 (95%CI: 1.013, 1.020), 1.008 (95%CI: 1.003, 1.013), and 1.058 (95%CI: 1.055, 1.062), respectively. Furthermore, a combined healthy lifestyle demonstrated a superior modifying effect compared to any single lifestyle factor, which significantly attenuated the PM_2.5-associated CVD risk (P for interaction < 0.05). Conclusion Long-term exposure to ambient PM_2.5 significantly increases CVD risk. However, adherence to a combined healthy lifestyle can effectively mitigate these adverse effects, offering substantially greater cardiovascular protection than maintaining any single healthy habit.

Objective:To investigate the factors affecting the efficacy of 131I treatment for Graves′ disease (GD) and to construct a predictive model for the treatment outcomes of 131I therapy. Methods:Retrospective analysis of the treatment efficacy was performed on 2 190 patients (547 males, 1 643 females, age (42.9±12.4) years) with GD, who received initial 131I treatment in Tianjin Medical University General Hospital between October 2013 and May 2018. Univariate analysis ( χ2 test, et al) and logistic regression were performed to analyze the possible factors affecting the efficacy of 131I treatment. An efficacy prediction model for 131I treatment of GD was constructed, and decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model. Results:The overall effectiveness rate of 131I treatment for GD patients was 99.95%(2 189/2 190), with a total cure rate of 83.74%(1 834/2 190), among which 94.11%(1 726/1 834) were cured after a single treatment. Pre-treatment thyroid mass was identified as an independent risk factor affecting the efficacy of initial 131I treatment (odds ratio ( OR)=0.983(95% CI: 0.977-0.989), P<0.001). The clinical cure rate was higher in patients who received an adequate dose of 131I compared with that in patients who didn′t receive an adequate dose (79.97%(1 537/1 922) vs 70.52%(189/268); χ2=12.57, P<0.001), but it did not increase the incidence of hypothyroidism within one year. A predictive model was constructed, and it was found that thyroid mass and disease duration had a relatively high impact on the clinical cure rate. The concordance index (C-index) of the predictive model was 0.623(95% CI: 0.593-0.654). DCA indicated that the predictive model offered substantial net benefits across a wide range of probability thresholds. Conclusions:131I treatment is effective in most patients with GD. The predictive model for efficacy of initial 131I treatment developed in this study can assist in evaluating treatment outcomes and help clinicians select the most suitable 131I treatment dose, enhancing clinical decision-making.

Objective:To analyze the clinical and endoscopic features of elderly patients with early gastric neuroendocrine neoplasms(g-NEN)to provide insights for clinical diagnosis and treatment.Methods:Seven cases of early-stage g-NEN in elderly patients admitted to Beijing Hospital from May 2020 to October 2024 were reported.Information including patient demographics, medical history, laboratory findings, endoscopic features, and pathological results was summarized an analyzed.Meanwhile, a literature review was conducted on g-NEN cases reported domestically and internationally from the establishment of databases to April 2025, with a comparative analysis of baseline characteristics, background mucosal conditions, and pathological diagnoses.Results:A total of 7 elderly patients with early g-NEN were included, including 3 males and 4 females, with an average age of 67 years at diagnosis.Endoscopic and pathological features: endoscopic lesions were mainly located on the greater curvature of the stomach, mostly slightly elevated, with 4/7(57.1%)being single lesions and the others accompanied by multiple polyps.The size of gastric neuroendocrine tumor(g-NET) lesions ranged from 1 mm to 19 mm, with a median Kyoto gastritis score of 3.In terms of pathological grading, there were 6 cases of G1 and 1 case of gastric neuroendocrine carcinoma(g-NEC). All 7 patients underwent endoscopic submucosal dissection(ESD). The follow-up period after surgery ranged from 3 months to 4 years, and no tumor was found at the vertical and horizontal margins of all lesions on pathology.A literature review of 32 reported cases showed that 40.6%(13/32)of cases exhibited background mucosal atrophy or intestinal metaplasia, with positive rates of chromogranin A(CgA) and synapsin(Syn)reaching 95.8%(23/24) and 100.0%(25/25), respectively.Notably, elderly patients with g-NEC demonstrated aggressive invasiveness, with a metastasis rate of 62.5%(5/8).Conclusions:Elderly patients with g-NEN exhibit high heterogeneity and significant differences in invasiveness, necessitating heightened clinical vigilance.Precise management should integrate background mucosal status, Kyoto gastritis score, pathological biomarkers, and imaging techniques.Blue laser imaging with magnifying endoscopy(BLI-ME)and endoscopic ultrasonography(EUS)can further analyze the characteristics of these tumors, and endoscopic submucosal dissection(ESD)remains the primary treatment modality for early-stage g-NEN.

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.

A 36-year-old male developed unconsciousness and no response to voice stimuli after taking approximately 2 050 mg felodipine (the specific time was unknown). Two hours later, he was sent to the department of emergency by his family and admitted to the hospital. His vital signs showed body temperature 35.1 ℃, pulse 148 times/min, respiration 32 times/min, and blood pressure 65/34 mmHg. Acute drug poisoning, acute toxic cardiomyopathy, acute toxic shock, acute type Ⅱ respiratory failure, acute toxic encephalopathy, and acute renal failure were diagnosed based on the patient′s clinical manifestations combined with laboratory tests results, cardiac ultrasound, chest and abdominal CT scans. Endotracheal intubation connected to a ventilator for invasive assisted ventilation, pressure boosting, and fluid resuscitation were given. At the same time, repeated gastric lavage and enema were performed to remove toxins. Blood perfusion was intermittently and repeatedly administered, and continuous renal replacement therapy was used. The blood concentration of felodipine was 1 298 μg/L at 2 hours after admission, and cardiac arrest occurred at 4 hours. Venous-arterial extracorporeal membrane oxygenation (V-A ECMO) treatment was administered immediately. After 48 hours of ECMO operation, sedatives were discontinued and the patient′s consciousness was improved after 4 hours. On the 5th day of ECMO treatment, his heart rate was 72 beats per minute, and blood pressure was 127/65 mmHg. The blood concentration of felodipine decreased to 2 μg/L. The patient′s vital signs were significantly improved and ECMO supportive treatment was withdrawn. After 26 days of hospitalization, the patient recovered and was discharged.

Objective:To construct a risk prediction model for Vaginal Intraepithelial Neoplasia Grade 2 or Worse(VaIN 2+)lesions,and to establish a nomogram for individual diagnosis of VaIN 2+and risk stratification,so as to provide guidance for the treatment of vaginal lesions.Methods:A total of 248 women diagnosed with VaIN through colposcopic biopsy at the Center for Gynecologic and Cervical Diseases,First Affiliated Hospital of Nanjing Medical University,from January 2021 to January 2024 were included in this study.Based on the gold standard established by histological and pathological findings,these patients were categorized into a lower VaIN 2 group and a VaIN 2+group.Univariate comparative analysis was performed on the two groups.Multivariate Logis-tic regression analysis was used to determine the risk factors of VaIN 2+and to construct a diagnostic model.The nomogram model was established by using R Studio software.The discrimination,calibration and clinical practical value of the model were evaluated by the area under the receiver operating characteristic(ROC)curve and cali-bration curve.Results:Univariate analysis identified that HPV type,cervical lesion grade,acetowhite change,vagi-nal lesion duration,vaginal lesion location,and cervical lesion duration as influencing factors for diagnosing VaIN 2+(P<0.1).Multivariate binary Logistic regression analysis indicated that HPV16/18 positivity,cervical lesion grade≥CIN 2,thick acetowhite change,vaginal lesion duration≥5 years,and vaginal lesion location at the upper 1/3 of the vagina were independent risk factors for diagnosing VaIN 2+(OR>1,P<0.05),while cervical lesion duration<3 years was a protective factor(OR<1,P<0.05),with acetowhite change having the greatest impact(OR4.54).A regression model was established based on the multivariate binary Logistic regression analysis,with an AUC of 0.813.A nomogram model was constructed and internally validated,yielding a consistency index(C-index)of 0.81.Patients were stratified into risk groups using the X-tile software,with higher total scores indi-cating a greater risk of developing VaIN 2+.Conclusions:The nomogram model constructed in this study can in-dividually predict the risk of VaIN 2+lesions in patients,with high accuracy and clinical practicability.

Objective:To investigate the factors affecting the efficacy of 131I treatment for Graves′ disease (GD) and to construct a predictive model for the treatment outcomes of 131I therapy. Methods:Retrospective analysis of the treatment efficacy was performed on 2 190 patients (547 males, 1 643 females, age (42.9±12.4) years) with GD, who received initial 131I treatment in Tianjin Medical University General Hospital between October 2013 and May 2018. Univariate analysis ( χ2 test, et al) and logistic regression were performed to analyze the possible factors affecting the efficacy of 131I treatment. An efficacy prediction model for 131I treatment of GD was constructed, and decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model. Results:The overall effectiveness rate of 131I treatment for GD patients was 99.95%(2 189/2 190), with a total cure rate of 83.74%(1 834/2 190), among which 94.11%(1 726/1 834) were cured after a single treatment. Pre-treatment thyroid mass was identified as an independent risk factor affecting the efficacy of initial 131I treatment (odds ratio ( OR)=0.983(95% CI: 0.977-0.989), P<0.001). The clinical cure rate was higher in patients who received an adequate dose of 131I compared with that in patients who didn′t receive an adequate dose (79.97%(1 537/1 922) vs 70.52%(189/268); χ2=12.57, P<0.001), but it did not increase the incidence of hypothyroidism within one year. A predictive model was constructed, and it was found that thyroid mass and disease duration had a relatively high impact on the clinical cure rate. The concordance index (C-index) of the predictive model was 0.623(95% CI: 0.593-0.654). DCA indicated that the predictive model offered substantial net benefits across a wide range of probability thresholds. Conclusions:131I treatment is effective in most patients with GD. The predictive model for efficacy of initial 131I treatment developed in this study can assist in evaluating treatment outcomes and help clinicians select the most suitable 131I treatment dose, enhancing clinical decision-making.

Objective:To analyze the clinical and endoscopic features of elderly patients with early gastric neuroendocrine neoplasms(g-NEN)to provide insights for clinical diagnosis and treatment.Methods:Seven cases of early-stage g-NEN in elderly patients admitted to Beijing Hospital from May 2020 to October 2024 were reported.Information including patient demographics, medical history, laboratory findings, endoscopic features, and pathological results was summarized an analyzed.Meanwhile, a literature review was conducted on g-NEN cases reported domestically and internationally from the establishment of databases to April 2025, with a comparative analysis of baseline characteristics, background mucosal conditions, and pathological diagnoses.Results:A total of 7 elderly patients with early g-NEN were included, including 3 males and 4 females, with an average age of 67 years at diagnosis.Endoscopic and pathological features: endoscopic lesions were mainly located on the greater curvature of the stomach, mostly slightly elevated, with 4/7(57.1%)being single lesions and the others accompanied by multiple polyps.The size of gastric neuroendocrine tumor(g-NET) lesions ranged from 1 mm to 19 mm, with a median Kyoto gastritis score of 3.In terms of pathological grading, there were 6 cases of G1 and 1 case of gastric neuroendocrine carcinoma(g-NEC). All 7 patients underwent endoscopic submucosal dissection(ESD). The follow-up period after surgery ranged from 3 months to 4 years, and no tumor was found at the vertical and horizontal margins of all lesions on pathology.A literature review of 32 reported cases showed that 40.6%(13/32)of cases exhibited background mucosal atrophy or intestinal metaplasia, with positive rates of chromogranin A(CgA) and synapsin(Syn)reaching 95.8%(23/24) and 100.0%(25/25), respectively.Notably, elderly patients with g-NEC demonstrated aggressive invasiveness, with a metastasis rate of 62.5%(5/8).Conclusions:Elderly patients with g-NEN exhibit high heterogeneity and significant differences in invasiveness, necessitating heightened clinical vigilance.Precise management should integrate background mucosal status, Kyoto gastritis score, pathological biomarkers, and imaging techniques.Blue laser imaging with magnifying endoscopy(BLI-ME)and endoscopic ultrasonography(EUS)can further analyze the characteristics of these tumors, and endoscopic submucosal dissection(ESD)remains the primary treatment modality for early-stage g-NEN.

Since the outbreak of COVID-19, many skin diseases related to or secondary to COVID-19 have been reported globally, and the infection can trigger or exacerbate skin diseases and other systemic symptoms. The review aims to discuss the manifestations and management of severe skin diseases following COVID-19, such as systemic lupus erythematosus, severe psoriasis, pemphigus, dermatomyositis, and Beh?et's syndrome, with the goal of improving the diagnosis and treatment of severe skin diseases after COVID-19.

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.