Objective To evaluate the effects of blood-lipid report's reformat on outpatients' behavior and knowledge of dyslipidemia therapy.Methods The blood-lipid report was reformatted by adding three tables from the Chinese Guideline on the Prevention and Treatment of Adult Dyslipidemia on its back.The same questionnaire was used twice to evaluate the patients' behavior and knowledge of dyslipidemia therapy before and after reformat.Results Before and after reformat,the rates of correct deterination of their own risk stratification were 26.0％ ( 112/430 ) and 26.3％ ( 115/438 ) respectively.The awareness rates of Different LDL-C goals among different persons wcre 37.0％ (159/430) and 35.8％ (157/438).Only 0.7％ (2/306) and 1.0％ (3/299) of patients knew their blood lipid goals (P =0.557).When the report showed normal blood lipid levels,the percentages of taking lipid-lowering drug were 47.6％ ( 230/483 ) and 46.6％ ( 216/464 ),20.5％ ( 99/483 ) and 19.0％ ( 88/464 ) of patients questioned the prescription.Non-medication rates were 31.9％ ( 154/483 ) and 34.5％ ( 160/464 ) respectively before and after reformat ( P ＞ 0.05 ).For patients requiting lipid-lowering drug therapy by the guideline,treatment rate improved significantly in the low-risk group (13.3％ vs.75.0％,P =0.002).Treatment rate slightly increased in the high-risk and very high-risk groups after reformat (54.0％ vs.56.8％,62.4％ vs.69.0％,P ＞ 0.05 ).Rates of achieving lipid goal showed no change [ 41.5％ ( 102/ 245 ) vs.44.5％ ( 114/256 ),P ＞ 0.05 ] after reformat,especially among the very high-risk patients [17.9％(12/68) vs.21.6％(11/52),P＞0.05].Conclusions The blood-lipid report reformat did not improve the patient behaviors and knowledge of the prevention and treatment of dyslipidemia because of poor treatment rate and medication compliance.The combination of patient education and thorough blood-lipid report reformat may help to increase the attainment rate of dyslipidemia therapy.

Objective: To understand the gender disparity and influencing factors for in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) at secondary hospitals in China. Methods: A total of 5525 in-hospital STEMI patients from 99 secondary hospitals of 15 provinces or autonomous regions between 2011-09 to 2014-06 were recruited including 1649 female and 3876 male. The in-hospital mortalities were compared between 2 genders and the relevant inlfuencing factors were studied by multiple Logistic regression analysis. Results: There were about 29.8% female and 70.2% male STEMI patients were studied. The in-hospital mortalities in female and male were 13.2% and 5.9%,P<0.01; gender disparity was obviously existing regardless of age, history of MI, hypertension and diabetes mellitus. The mortality in female was higher than male even without diseases history and cardiovascular risk factors. Compared with male gender, female patients were usually having elder age and likely complicated with cardiovascular risk factors; they were with lower incidence to receive ECG, drug therapy and thrombolysis within 10 minutes of admission. With adjusted confounding factors, multiple regression analysis presented that female STEMI patients had the higher mortality than male (OR:1.7, 95% CI:1.4-2.0). Conclusion: The in-hospital mortality for STEMI patients was higher in female than male at secondary hospitals in China. Female patients were usually having elder age, complicated with more cardiovascular risk factors, while with less chances to receive ECG, drug therapy and thrombolysis within 10 minutes of admission.

Objective: To analyze the current status of anticoagulant therapy for in-hospital patients with acute coronary syndromes (ACS) at county hospitals of China and to explore the relationship between anticoagulant therapy and clinical outcomes in real medical environment. Methods: 99 county hospitals from15 provinces of China were selected for this prospective registry study and 12373 eligible ACS patients without interventional therapy admitted from 2011-09 to 2014-06 were enrolled. The basic condition, previous history, initial assessment, anticoagulants (unfractionated heparin/low molecular weight heparin) application, severe bleeding events and in-hospital mortality were collected in all patients. Multiple logistic regression analysis was conducted to explore the relationship between anticoagulant therapy and clinical outcomes including in-hospital mortality, severe bleeding events and combined endpoints; meanwhile, possible confounders were adjusted. Results: A total of 9985/12373 ACS patients received anticoagulant therapy and 2388 did not. Anticoagulant therapy was conducted in 92.7% (4237/4570) patients with ST-segment elevation myocardial infarction (STEMI), 90.8% (1639/1805) with non-ST-segment elevation myocardial infarction (NSTEMI) and 68.5% (4109/5998) with unstable angina (UA); there were differences by regions and genders,P<0.01and no difference by age. Multivariable analysis indicated that anticoagulant therapy decreased the risk of in-hospital mortality in ACS patients at 53% (OR= 0.47, 95% CI 0.36-0.62), such reduction in STEMI patients was at 55% (OR=0.45, 95% CI 0.32-0.64), in NSTEMI patients was at 58% (OR=0.42, 95% CI 0.24-0.75); while it had no real effect in UA patients,P>0.05. Meanwhile, it did not increase the risk of severe bleeding events in ACS patients,P>0.05. Conclusion: Anticoagulant therapy has been widely used in STEMI and NSTEMI patients at county hospitals of China and obviously decreased the in-hospital mortality; while the application rate was relatively low in UA patients. The general safety of anticoagulant therapy has been good in ACS patients.

Objective:To determine a simpler and more practical scoring standard for predicting mucosal histological healing in ulcerative colitis (UC).Methods:From April 11, 2017 to February 8, 2021, 68 UC patients diagnosed with mucosal healing under endoscopy and hospitalized at Department of Gastroenterology, the Tenth People′s Hospital of Tongji University and during the same period 60 healthy individuals who underwent endoscopy for health checkup were retrospectively analyzed. Modified Mayo score and ulcerative colitis endoscopic index of severity (UCEIS), the modified Nancy index and Robarts histopathology index were determined based on the collected clinical data, endoscopic reports and histopathological evaluation. The proportions of neutrophils, eosinophils, and plasma cells in the colonic mucosal lamina propria were calculated. The proportions of activated neutrophils and T cells in the colonic mucosal lamina were calculated according to CD177 and CD40L, respectively. The new clinical and laboratory diagnostic formulas were determined by multivariate logistic regression analysis, the effectiveness of the equations was evaluated by receiver operating characteristic curve (ROC).Results:Among the 68 patients with UC, the modified Mayo score was 0.7 (0.4, 1.1), the UCEIS was 0.5 (0.3, 0.8), the Nancy index was 5.9±3.2, and the Robarts histopathology index was 2.6±1.7. According to multivariate logistic regression analysis, the formula for clinical diagnosis of histological healing was Y1=-21.09+ 355.9 X1+ 305.8 X2+ 44.91 X3 ( X1, X2 and X3 were the proportions of neutrophils, eosinophils, and plasma cells, respectively). The results of ROC analysis indicated that Y1<-0.747 was the cut-off value of diagnosis of histological healing, and the area under the curve (AUC) was 0.986 and 95% confidence interval ( CI) was 0.922 to 1.000 ( P<0.001), the sensitivity was 97.10% and the specificity was 91.20%. The formula of laboratory diagnosis of histological healing was Y2=-10.57+ 469.1 X1 + 132.7 X2 + 101.2 X3 + 18.56 X4 ( X1, X2, X3, and X4 were the proportions of CD177 + neutrophils, eosinophils, CD40L + T cells and plasma cells, respectively). The results of ROC analysis indicated that Y2<1.960 was the cut-off value of diagnosis of histological healing, and the AUC was 0.980, 95% CI was 0.913 to 0.999 ( P<0.001), the sensitivity was 84.78%, and the specificity was 100.00%. The new clinical and laboratory diagnostic criteria were positively correlated with the Nancy histological index ( r=0.411 and 0.308, P=0.001 and 0.011), and Robarts histopathology index ( r=0.311, 0.273, P=0.010 and 0.024). Conclusions:Compared with the Nancy index, the new clinical and laboratory diagnostic criteria are simpler and more practical. The new clinical diagnostic formula Y1<-0.747 and the new laboratory diagnosis formula Y2<1.960 are the independent factors for predicting histological healing in UC patients.

Objective To explore the expression of serum growth differentiation factor-8(GDF-8)and silent information regulator 4(Sir4)in elderly patients with chronic heart failure(CHF)and their relationship with left ventricular remodeling and cardiac function.Methods A total of 300 CHF patients admitted in our hospital from Jan 2021 to Dec 2023 were recruited and assigned into an observation group,and 100 healthy individuals who took physical examination during the same period served as control group.Based on New York Heart Association(NYHA)heart function classification,the patients in the observation group were divided into Grade Ⅰ(60 cases),Ⅱ(72 cases),Ⅲ(102 cases),and Ⅳ(66 cases)subgroups.Their clinical data were collected,serum GDF-8 and Sir4 levels were detected,left ventricular remodeling was evaluated with echocardiography,and cardiac dysfunction was assessed with NYHA cardiac function grading.Pearson and Spearman correlation analyses were used to analyze the correlation of GDF-8 and Sir4 levels with left ven-tricular remodeling and myocardial injury.Results The observation group had significantly larger left atrial diameter(LAD)and left ventricular end diastolic diameter(LVEDD),thicker left ven-tricular posterior wall thickness(LVPWT)and interventricular septum thickness(IVST),and higher left ventricular mass index(LVMI)and serum Sir4 and GDF-8 levels(42.46±4.75 mm vs 36.39±5.33 mm,54.63±7.96 mm vs 47.42±8.08 mm,9.44±1.21 mm vs 8.49±0.88 mm,9.27±1.58 mm vs 8.66±1.71 mm,141.49±5.32 g/m2 vs 106.52±7.33 g/m2,3.69±1.06 g/L vs 1.48±0.42 g/L,33.75±10.64 g/L vs 19.08±5.13 g/L,P＜0.01),but lower LVEF[(40.02±10.14)％vs(63.64±6.13)％,P＜0.01]and left ventricular remodeling index(LVRI,1.05±0.24 g/ml vs 1.32±0.33 g/ml,P＜0.01)when compared with the control group.The levels of Sir4 and GDF-8,as well as LVMI,were gradually increased,while the LVRI was decreased in Grades Ⅰ,Ⅱ,Ⅲ,and Ⅳ subgroups in turn,with statistical differences in the subgroups(P＜0.01).Pearson and Spearman correlation analyses showed that Sir4 and GDF-8 levels were positively correlated with LAD,LVEDD,LVPWT,IVST,LVMI,and NHYA cardiac function grade(P＜0.01),and nega-tively with LVEF and LVRI(P＜0.01).Conclusion Serum Sir4 and GDF-8 levels are abnormally elevated in elderly CHF patients,and their levels are positively correlated with the severity of left ventricular remodeling and the severity of cardiac dysfunction.

Objective:To investigate the value of modified early warning score (MEWS) combined with D-dimer test in the establishment of an acute pancreatitis severity evaluation model.Methods:The clinical data of 357 patients with acute pancreatitis who received treatment in the Second Affiliated Hospital of Anhui Medical University, China between January 2017 and December 2018 were collected for this study. The receiver operating characteristic curve was used to determine the optimal cut-off value of MEWS combined with D-dimer test for predicting non-mild acute pancreatitis. The relationship between MEWS and D-dimer level was analyzed using regression analysis. The area under the curve (AUC) was used to evaluate the ability of each factor to predict the severity of acute pancreatitis. The sensitivity and specificity of the new model to predict non-mild acute pancreatitis were calculated.Results:According to the receiver operating characteristic curve, the AUC of D-dimer, MEWS, and new model were 0.702, 0.628 and 0.734 respectively ( P < 0.05). The AUC of the new model in predicting non-mild acute pancreatitis was significantly higher than that of MEWS and D-dimer test (0.734 > 0.702 > 0.628, Z = 3.20, P < 0.01). Conclusion:The ability of the new model established based on MEWS and D-dimer to predict the severity of acute pancreatitis is stronger than that of each of MEWS and D-dimer. The new model is simple, convenient and more suitable for clinical use.

Background::Histological healing is closely associated with improved long-term clinical outcomes and lowered relapses in patients with ulcerative colitis (UC). Here, we developed a novel diagnostic criterion for assessing histological healing in UC patients.Methods::We conducted a retrospective cohort study in UC patients, whose treatment was iteratively optimized to achieve mucosal healing at Shanghai Tenth People’s Hospital of Tongji University from January 2017 to May 2022. We identified an inflammatory cell enumeration index (ICEI) for assessing histological healing based on the proportions of eosinophils, CD177 + neutrophils, and CD40L + T cells in the colonic lamina propria under high power field (HPF), and the outcomes (risks of symptomatic relapses) of achieving histological remission vs. persistent histological inflammation using Kaplan-Meier curves. Intrareader reliability and inter-reader reliability were evaluated by each reader. The relationships to the changes in the Nancy index and the Geboes score were also assessed for responsiveness. The ICEI was further validated in a new cohort of UC patients from other nine university hospitals. Results::We developed an ICEI for clinical diagnosis of histological healing, i.e., Y = 1.701X 1 + 0.758X 2 + 1.347X 3 - 7.745 (X 1, X 2, and X 3 represent the proportions of CD177 + neutrophils, eosinophils, and CD40L + T cells, respectively, in the colonic lamina propria under HPF). The receiver operating characteristics curve (ROC) analysis revealed that Y <-0.391 was the cutoff value for the diagnosis of histological healing and that an area under the curve (AUC) was 0.942 (95% confidence interval [CI]: 0.905-0.979) with a sensitivity of 92.5% and a specificity of 83.6% ( P <0.001). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.855 (95% CI: 0.781-0.909), and ICEI had good inter-reader reliability of 0.832 (95% CI: 0.748-0.894). During an 18-month follow-up, patients with histological healing had a substantially better outcome compared with those with unachieved histological healing ( P <0.001) using ICEI. During a 12-month follow-up from other nine hospitals, patients with histological healing also had a lower risk of relapse than patients with unachieved histological healing. Conclusions::ICEI can be used to predict histological healing and identify patients with a risk of relapse 12 months and 18 months after clinical therapy. Therefore, ICEI provides a promising, simplified approach to monitor histological healing and to predict the prognosis of UC.Registration::Chinese Clinical Trial Registry, No. ChiCTR2300077792.

Background The population with diabetes in China is increasing year by year. Current research has found that either air pollution or temperature has an impact on the occurrence and development of diabetes, but the interaction between the two is unclear yet. Objective To investigate the effects and the lag effects of air pollutants and temperature on the risk of hospital admission for type 2 diabetes in Hefei, Anhui Province from 2016 to 2019, as well as to verify potential interaction between air pollutants and temperature. Methods This study collected hospital admission data for patients with type 2 diabetes from a tertiary hospital in Hefei, Anhui Province, and the corresponding monitoring data on air pollutants and meteorological factors from 2016 to 2019. Firstly, a distributed lag non-linear model (DLNM) was used to explore the effects of air pollutants and temperature on the risk of hospital admission for type 2 diabetes. Subsequently, a bivariate response surface model was used to explore potential interaction between temperature and various pollutants on frequency of hospital admission due to diabetes. Temperature was further divided into lower, medium, and higher levels by percentiles during the study period, and the potential interaction between air pollutants and temperature strata were verified . Results After controlling long-term trend, seasonal trend, holiday effect, and day of the week effect, the results of single pollutant models showed that for every 10 μg·m⁻³ increase in fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), and nitrogen dioxide (NO₂), the relative risk (RR) values for hospital admission due to type 2 diabetes were 1.032 (95%CI: 1.021, 1.043), 1.018 (95%CI: 1.008, 1.026), and 1.037 (95%CI: 1.016, 1.058), respectively; for every 1 mg·m⁻³ increase in carbon monoxide (CO), the RR value for hospital admission due to type 2 diabetes was 1.319 (95%CI: 1.163, 1.495); the increases in sulfur dioxide (SO₂), ozone (O₃), and daily average temperature showed no statistically significant impact on hospital admission due to type 2 diabetes. The results of bivariate response surface models suggested that daily average temperature and various pollutant levels spontaneously affected the risk of hospital admission for type 2 diabetes, but the stratified analysis did not find significant differences in the effect of PM_2.5 on the risk of hospital admission due to type 2 diabetes across different temperature strata. Conclusion Increases in the concentrations of PM_2.5, PM₁₀, NO₂, and CO elevate the risk of hospital admission for type 2 diabetes. This study could not confirm the interactions between daily average temperature and various pollutants.

The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.