Objective To analyze the risk factors for extrauterine growth retardation(EUGR)in late preterm infants appropriate for gestational age.Methods The clinical data in 1 402 preterm infants appropri-ate for gestational age delivered and hospitalized in this hospital from January 2016 to June 2022 were analyzed retrospectively.They were divided into the EUGR group(n=244)and the non-EUGR group(n=1 158)ac-cording to whether or not the body weight at discharge was below the 10th percentile of the growth curve for the same gestational age at the same period based on the Fenton's preterm growth curve.The clinical data of preterm infants and mothers of the two groups were collected.The risk factors for EUGR occurrence in pre-mature infants were analyzed.Results Among 1 402 preterm infants appropriate for gestational age,EUGR occurred in 244 cases with the EUGR incidence rate of 17.4％.The EUGR incidence rate had no statistical difference among the different fetal ages of premature infants(P＞0.05).The EUGR incidence rate had sta-tistical difference among different birth weights of premature infants(P＜0.05).The logistic regression anal-ysis showed that male(OR=1.694,95％CI:1.144-2.507),low birth weight(OR=0.989,95％CI:0.988-0.991),feeding intolerance(OR=2.719,95％CI:1.234-5.990),short gestational weeks(OR=0.146,95％CI:0.103-0.207)and hospitalization duration extension(OR=1.073,95％CI:1.031-1.117)were the risk factors for EUGR occurrence in late premature infants appropriate for gestational age in discharge.The sub-group analysis showed that male,low birth weight,feeding intolerance and hospitalization duration extension were the risk factors for EUGR occurrence in the preterm infants with gestational ages of 34-＜36 weeks(P＜0.05).Low birth weight and feeding intolerance only affected the preterm infants≥36 weeks of gesta-tional age(P＜0.05).Conclusion Strengthening the pregnant duration health care and active nutritional sup-port after birth may reduce the risk of EUGR occurrence in late premature infants.

[Abstract]Objective To explore the predictive value of plaque characteristic index based on coronary CT angiography(CCTA)for disease-specific myocardial ischemia in stable coronary artery disease(CAD).Methods 90 stable CAD patients admitted to Zhongshan Hospital,Fudan University from October 2020 to March 2022 were prospectively enrolled,including 135 target vessels with stenosis degree ranging from 30%to 90%.All participants sequentially underwent CCTA,ICA,and fractional flow reserve(FFR)measurement within 2 weeks.Based on the presence or absence of significant hemodynamic stenosis,all patients were divided into myocardial ischemic population(FFR≤0.8,n=30)and non ischemic population(FFR＞0.8,n= 60),135 target blood vessels were divided into a disease-specific myocardial ischemia group(FFR≤0.8,n=36)and a non disease-specific myocardial ischemia group(FFR＞0.8,n=99).Univariate and subsequent forward stepwise multivariate logistic regression analyses were used to assess independent predictors of myocardial ischemia,and CCTA-derived plaque characteristics index logistic regression model was created.Receiver operating characteristic(ROC)analysis was used to analyze the diagnostic performance of CCTA-derived plaque characteristics index on detecting myocardial ischemia.Results There were no significant differences in age,body mass index,gender,cardiovascular risk factors,and medication between myocardial ischemia population and non-ischemia population.Compared with the non-lesion-specific ischemia group,plaque length,plaque area,percent area stenosis,total atheroma volume,vessel volume and lipid rich volume,positive remodeling and napkin-ring signs were significantly higher in lesion-specific group,while minimum luminal area(MLA)was significantly lower.MLA(OR=0.303,95%CI 0.178-0.517,P＜0.001)and total atheroma volume(TAV,OR=1.006,95%CI 1.002-1.010,P=0.003)were found to be the significant independent predictors of myocardial ischemia.The regression equation of CCTA-derived plaque characteristic index for predicting probability was P=1/[1+e-(-1.194 41×MLA+0.006 058×TAV+0.600 912)].The area under the ROC curve(AUC)of CCTA-derived plaque characteristic index on detecting myocardial ischemia was 0.879(95%CI 0.811-0.928),and the overall diagnostic accuracy,sensitivity,specificity,PPV and NPV were 80.0%,83.3%,78.8%,58.8%,and 92.9%,respectively.Conclusions CCTA-derived plaque characteristic index performs well in diagnosing lesion-specific myocardial ischemia,showing its great clinical application prospect.

Objective:To explore the role of serum cholinesterase (CHE) levels in the prognosis of patients with acute decompensated heart failure (ADHF).Methods:Total of 244 consecutive patients with ADHF who were admitted to the emergency department and were successfully discharged were prospectively enrolled from January 2018 to June 2020. Patients were divided into groups according to the first and third quartile of CHE level and the clinical data, laboratory tests and other nutritional indices were recorded after discharge, and then were followed up. The primary end points were the composites of cardiovascular death and hospitalization for worsening HF (composite end points). The secondary end points were all-cause mortality and cardiovascular death. Cox proportional risk analysis, time-dependent Cox regression model or stratified cox regression were used to identify the risk of primary and secondary endpoints. Clinical, biomarker and the compound models of clinical and biomarker were constructed. Kaplan-Meier method was used to plot the survival curves of different groups and compare their differences. Receiver Operating characteristics (ROC) curves were used to compare the area under the curve for CHE levels and other nutritional or prognostic indicators to identify composite end-point events.Results:During a follow-up period of 350(100,683) days, 158 patients reached the composite end points. In the multivariable Cox analysis, cholinesterase level was significantly associated with the composite end points after adjustment for major confounders. Cox proportional risk analysis or time-dependent Cox regression model showed that CHE level was significantly associated with the composite end points, all-cause mortality and cardiovascular mortality in both clinical, biomarker and composite models (all P< 0.05). A Kaplan–Meier analysis revealed that patients with low cholinesterase levels had significantly greater risk of reaching the composite end points than those with middle or high cholinesterase levels (78.1% vs 66.7% vs. 46.7%, P<0.001); Cholinesterase level showed the largest area under the receiver operating characteristic curve (AUROC) of 0.736 (95% CI, 0.664-0.888) for prediction of the composite end points among other nutritional indices. The AUROC of the Global Meta-Analysis Group Chronic Heart Failure (MAGGIC) Risk Score for prediction of the composite end points was increased from 0.704 to 0.762 ( P=0.038), when cholinesterase level was added. Conclusions:Cholinesterase may serve as a simple and effective prognostic marker for predicting adverse outcomes in ADHF patients.