Objective:To explore the prognostic value of monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) in assessing patients with heart failure with reduced ejection fraction (HFrEF).Methods:Patients with HFrEF (LVEF<40%) admitted to the TEDA International Cardiovascular Disease Hospital between 2 January 2019 and 15 January 2023 were selected. The MHR levels were recorded at admission in patients with HFrEF who were followed up regularly for 12 months. The major adverse cardiovascular events (cardiac death and readmission for heart failure) were defined as poor prognosis. Multivariate Cox regression was used to analyze factors associated with poor prognosis. The receiver operator characteristic (ROC) curves were used to assess the diagnostic value of MHR for poor prognosis. The DeLong test was used to analyze whether there was a difference in the effectiveness of MHR and BNP for detecting poor prognosis. The critical value grouping for poor prognosis was evaluated by MHR, and survival analyses were performed using Kaplan-Meier.Results:A total of 286 subjects were enrolled in the study, including 206 males and 80 females, with a median age ( Q1, Q3) of 67 (58, 74) years. Multivariate Cox regression showed that MHR ( HR=1.482, 95% CI:1.015-2.164) and BNP ( HR=1.001, 95% CI:1.000-1.001) were associated with poor prognosis in patients with HFrEF. The area under the ROC curve for the adjunctive diagnostic value of MHR, BNP and the combination of both for poor prognosis in patients with HFrEF was 0.709, 0.738 and 0.769, respectively. The critical values were 0.486, 1 090 pg/ml and 0.41, respectively. The DeLong test showed no differences in the validity of MHR, BNP and their combination for detecting poor prognosis. Kaplan Meier survival analysis of 12-month follow-up showed that the time for poor prognosis in HFrEF patients with MHR>0.486 group (8.645 months) was significantly shorter than that in MHR≤0.486 group (10.296 months, P<0.001), and the risk of poor prognosis in MHR>0.486 group was 2.843 times higher than that in MHR≤0.486 group ( HR=2.843, 95% CI:1.867-4.327). Conclusion:MHR can be an indicator of poor prognosis in patients with HFrEF.

ObjectiveTo evaluate the overall dietary intake of adult residents in Sijing Town, Songjiang District, Shanghai, and to explore the association between dietary health literacy and diet quality. MethodsA total of 1 280 adult residents were selected as the research subjects using a multi-stage sampling method, and face-to-face questionnaire surveys were administered on site. Dietary intake data were collected using a Food Frequency Questionnaire (FFQ), and the overall diet quality of the participants was evaluated based on the Chinese Healthy Eating Index (CHEI). Participants were divided into low- and high-CHEI groups according to the median CHEI score. Logistic regression models were used to examine the association between dietary health literacy and diet quality. ResultsThe median CHEI score for adults in the area was 63.68 points. Multivariate logistic regression analysis revealed that adults with lower dietary health literacy had lower CHEI scores and poorer overall diet quality compared to those with higher dietary health literacy (OR=1.435, 95%CI:1.132‒1.819). ConclusionThe overall diet quality of adult residents in this region requires improvement. There is a significant positive correlation between the level of dietary health literacy and CHEI scores, suggesting that enhancing dietary health literacy may be an important strategy to improve resident’ dietary quality.

Objective:To explore the relationship between the differential genes derived from transcriptome mRNA sequencing and prognosis among heart failure patients with mildly reduced ejection fraction (HFmrEF) and preserved ejection fraction (HFpEF).Methods:This was a case-control study. Ten patients with HFmrEF and 10 patients with HFpEF treated at TEDA International Cardiovascular Disease Hospital from November 2021 to January 2022 were selected and differentially expressed genes were screened by transcriptome mRNA sequencing. Ten healthy people served as control group. In addition, 50 patients with HFmrEF, 62 patients with HFpEF, who were treated at TEDA International Cardiovascular Disease Hospital at the same period, were selected as validation groups, 57 healthy people served as control validation group. Real-time quantitative PCR (RT-qPCR) was used to detect the expression of differential genes in each group. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to assess the differential diagnosis and prognostic value of differential genes in these patients. Patients were followed up regularly to document adverse events within 1 year after discharge including cardiac death and readmission for heart failure. Survival analysis was performed using Kaplan-Meier curves and tested by log rank test. Cox regression analysis was used to explore whether differential mRNA was risk factors for poor prognosis in HFmrEF and HFpEF patients.Results:A total of four genes were differentially expressed (three upregulated and one downregulated gene) between the HFmrEF group and HFpEF group (adjust P<0.05). SLC12A1, C15orf48 and SPP1 were associated with the progress of cardiovascular disease, and selected for validation in the clinical cohort. RT-qPCR results showed that the gene expression of SLC12A1 in the HFmrEF group was significantly higher than that in the HFpEF group ( P<0.001). The AUC for the adjunctive differential diagnostic value of SLC12A1 for HFmrEF and HFpEF was 0.802 ( P<0.001) and the AUC of SLC12A1 with a cut-off value of 6.634 was 0.737 ( P=0.003) in determining poor prognosis in patients with HFpEF. Kaplan-Meier survival analysis showed that patients with SLC12A1≤6.634 had a higher incidence of adverse cardiac events than patients with SLC12A1 >6.634 ( P=0.001). Cox regression analysis showed that the risk of adverse cardiac events in the SLC12A1 ≤6.634 group was 6.787 times higher than in the SLC12A1 >6.634 group ( HR=6.787, P=0.011). Conclusions:Transcriptome mRNA sequencing analysis is valuable for detecting clinical relevant differentially expressed genes in HFmrEF and HFpEF patients, among which SLC12A1 can be used as a novel molecular biomarker to aid the differential diagnosis of HFmrEF and HFpEF. In addition, SLC12A1 may be used as an adjunctive biomarker for the prognosis evaluation in patients with HFpEF.

Objective:To explore the relationship between the differential genes derived from transcriptome mRNA sequencing and prognosis among heart failure patients with mildly reduced ejection fraction (HFmrEF) and preserved ejection fraction (HFpEF).Methods:This was a case-control study. Ten patients with HFmrEF and 10 patients with HFpEF treated at TEDA International Cardiovascular Disease Hospital from November 2021 to January 2022 were selected and differentially expressed genes were screened by transcriptome mRNA sequencing. Ten healthy people served as control group. In addition, 50 patients with HFmrEF, 62 patients with HFpEF, who were treated at TEDA International Cardiovascular Disease Hospital at the same period, were selected as validation groups, 57 healthy people served as control validation group. Real-time quantitative PCR (RT-qPCR) was used to detect the expression of differential genes in each group. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to assess the differential diagnosis and prognostic value of differential genes in these patients. Patients were followed up regularly to document adverse events within 1 year after discharge including cardiac death and readmission for heart failure. Survival analysis was performed using Kaplan-Meier curves and tested by log rank test. Cox regression analysis was used to explore whether differential mRNA was risk factors for poor prognosis in HFmrEF and HFpEF patients.Results:A total of four genes were differentially expressed (three upregulated and one downregulated gene) between the HFmrEF group and HFpEF group (adjust P<0.05). SLC12A1, C15orf48 and SPP1 were associated with the progress of cardiovascular disease, and selected for validation in the clinical cohort. RT-qPCR results showed that the gene expression of SLC12A1 in the HFmrEF group was significantly higher than that in the HFpEF group ( P<0.001). The AUC for the adjunctive differential diagnostic value of SLC12A1 for HFmrEF and HFpEF was 0.802 ( P<0.001) and the AUC of SLC12A1 with a cut-off value of 6.634 was 0.737 ( P=0.003) in determining poor prognosis in patients with HFpEF. Kaplan-Meier survival analysis showed that patients with SLC12A1≤6.634 had a higher incidence of adverse cardiac events than patients with SLC12A1 >6.634 ( P=0.001). Cox regression analysis showed that the risk of adverse cardiac events in the SLC12A1 ≤6.634 group was 6.787 times higher than in the SLC12A1 >6.634 group ( HR=6.787, P=0.011). Conclusions:Transcriptome mRNA sequencing analysis is valuable for detecting clinical relevant differentially expressed genes in HFmrEF and HFpEF patients, among which SLC12A1 can be used as a novel molecular biomarker to aid the differential diagnosis of HFmrEF and HFpEF. In addition, SLC12A1 may be used as an adjunctive biomarker for the prognosis evaluation in patients with HFpEF.

Objective:To explore the prognostic value of monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) in assessing patients with heart failure with reduced ejection fraction (HFrEF).Methods:Patients with HFrEF (LVEF<40%) admitted to the TEDA International Cardiovascular Disease Hospital between 2 January 2019 and 15 January 2023 were selected. The MHR levels were recorded at admission in patients with HFrEF who were followed up regularly for 12 months. The major adverse cardiovascular events (cardiac death and readmission for heart failure) were defined as poor prognosis. Multivariate Cox regression was used to analyze factors associated with poor prognosis. The receiver operator characteristic (ROC) curves were used to assess the diagnostic value of MHR for poor prognosis. The DeLong test was used to analyze whether there was a difference in the effectiveness of MHR and BNP for detecting poor prognosis. The critical value grouping for poor prognosis was evaluated by MHR, and survival analyses were performed using Kaplan-Meier.Results:A total of 286 subjects were enrolled in the study, including 206 males and 80 females, with a median age ( Q1, Q3) of 67 (58, 74) years. Multivariate Cox regression showed that MHR ( HR=1.482, 95% CI:1.015-2.164) and BNP ( HR=1.001, 95% CI:1.000-1.001) were associated with poor prognosis in patients with HFrEF. The area under the ROC curve for the adjunctive diagnostic value of MHR, BNP and the combination of both for poor prognosis in patients with HFrEF was 0.709, 0.738 and 0.769, respectively. The critical values were 0.486, 1 090 pg/ml and 0.41, respectively. The DeLong test showed no differences in the validity of MHR, BNP and their combination for detecting poor prognosis. Kaplan Meier survival analysis of 12-month follow-up showed that the time for poor prognosis in HFrEF patients with MHR>0.486 group (8.645 months) was significantly shorter than that in MHR≤0.486 group (10.296 months, P<0.001), and the risk of poor prognosis in MHR>0.486 group was 2.843 times higher than that in MHR≤0.486 group ( HR=2.843, 95% CI:1.867-4.327). Conclusion:MHR can be an indicator of poor prognosis in patients with HFrEF.

Objective: To investigate the current status of screen exposure among preschool children in Shanghai and its association with family screen environment, so as to provide a scientific basis for family screen management. Methods: Using a convenient sampling method, a total of 349 preschool children aged 4-6 years were selected from 36 kindergarten classes in Xuhui District and Pudong New Area in Shanghai during April to June in 2023. Demographic characteristics and family screen environment were surveyed through an online questionnaire. Screen exposure of children was assessed using a diary method, with parents recording the activities over a 7day period. Multiple Logistic regression analysis was employed to identify factors influencing childrens screen content. Results: The average daily screen exposure time for children was (61.2±40.2) minutes, with an average of (12.4±17.6) minutes spent on educational screen content, 80.8% predominantly watched noneducational screen content. The percentages of time spent on educational screen content for 4yearold boys, 4yearold girls, 5yearold boys, 5yearold girls, 6yearold boys, and 6yearold girls were 20.1%, 14.7%, 21.3%, 21.9%, 20.6%, and 26.9%, respectively. Multivariate Logistic regression showed that children aged 5yearold (OR=0.49, 95%CI=0.25-0.96) and 6yearold (OR=0.45, 95%CI=0.21-0.95) were negatively associated with more noneducational screen content (P<0.05). However, occasional (OR=2.02, 95%CI=1.09-3.75) and sometimes (OR=4.50, 95%CI=1.70-11.90) using electronic devices to calm young child when crying, as well as children using electronic devices without adult supervision (OR=1.81, 95%CI=1.01-3.24) were positively associated with more noneducational screen content (P<0.05). Conclusions Preschool children in Shanghai exhibit high exposure to noneducational screen content, and family screen environment and parentchild interaction are associated with noneducational screen exposure. Strategies for family screen management should be developed to regulate childrens screen exposure behaviors, allowing electronic devices to play a positive role in their developmental process.

Objective:To investigate the changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) and its role in predicting major adverse cardiac events (MACEs) in patients with end-stage heart failure (ESHF) before and after implanted a HeartCon left ventricular assist device (LVAD).Methods:The retrospective study included 30 ESHF patients [23 males and 7 females, aged 54.5 (40.8, 60.0) years], who were admitted to TEDA International Cardiovascular Disease Hospital from September 15, 2020 to June 20, 2023 to receive treatment with HeartCon LVAD implantation. Their clinical data were analyzed and NT-proBNP concentrations in their blood samples were measured preoperatively and during the follow-up period. Patients were followed regularly and MACEs, including cardiac death and rehospitalization for right heart failure, were recorded within 6 months of discharge; Logistic regression was used for prognostic analysis, and Receiver Operator Characteristic (ROC) curves were used to assess the adjunctive diagnostic value of NT-proBNP for poor prognosis in LVAD patients. The cut-off values for diagnosing poor prognosis by NT-proBNP were divided into two groups, and survival analysis was performed by Kaplan-Meier and tested by log rank; Cox regression was performed to analyze whether high levels of NT-proBNP at 6 months of follow-up wsa a risk factor for poor prognosis in patients with LVAD.Results:The median preoperative NT-proBNP level in 30 ESHF patients successfully implanted with HeartCon LVADs was 3 251.0 (1 544.5, 6 401.5) pg/ml. It decreased significantly 7 days postoperatively (3 251.0 vs. 1 815.0 pg/ml, P<0.05), and then the decreasing trend slowed. It decreased to 1 182.0 (620.0, 3 385.3) pg/ml on the 90th post-operative day. The preoperative NT-proBNP>3 251.0 pg/ml group had a longer postoperative hospital stay (47 d vs 33 d, Z=-2.138, P=0.032). Multivariate logistic regression analysis, only NT-proBNP at 7 days postoperatively was found to predict poor prognosis in LVAD patients, with an OR of 1.001 ( P=0.01); ROC curves were analyzed for the adjunctive diagnostic value of 7-day postoperative NT-proBNP levels for poor prognosis (cut-off value of 2 083.0 pg/ml), with an AUC of 0.833 ( P=0.002); The Kaplan-Meier survival analysis showed that the time to MACEs within 6 months was significantly shorter in the group with NT-proBNP>2 083.0 pg/mL on postoperative day 7 than in the group with NT-proBNP≤2 083.0 pg/ml (3.538±0.689 vs. 5.471±0.323 months, P=0.004); Cox regression analysis showed that the risk of MACEs was 4.25 times higher in the 7-day postoperative NT-proBNP>2 083.0 pg/ml group than in the NT-proBNP≤2 083.0 pg/ml group ( HR=4.25, P=0.035). Conclusions:The higher the preoperative NT-proBNP level, the longer the postoperative hospital stay in HeartCon LVAD patients. NT-proBNP levels decrease most significantly on postoperative day 7 and is a risk factor for MACEs. It may be used as a prognostic predictor in ESHF patients with implanted LVADs.

Background Unhealthy lifestyles may constitute significant risk factors for dyslipidemia. However, limited studies focus on the association mentioned above among railway workers undertaking frequent shift work. Objective To understand the status of dyslipidemia and lifestyles among railway workers, and to investigate the association between the lifestyles of workers involved in different shift work schedules and dyslipidemia, aiming to provide a reference for the development of targeted intervention strategies against dyslipidemia in this occupational group. Methods The participants were selected from the in-service staff of a railway unit in 2021. A quota sampling approach was used to ensure the participation of at least 50% of employees from each department. Demographic and lifestyle information of the railway workers in 2021 was collected through self-administered questionnaires, while physiological and biochemical indicators were obtained through health examinations. Chi-square tests were employed to analyze the distribution of dyslipidemia among railway workers with different characteristics. Binary logistic regression was utilized to examine the associations between selected variables and dyslipidemia, and additive model was used to investigate the interaction between lifestyle and different shift work schedules on dyslipidemia. Results A total of 17392 railway workers were included in the study, and the total prevalence of dyslipidemia was 31.3%, with a higher prevalence reported among workers undertaking rotating night shifts (33.5%) and permanent night shifts (34.3%) than those with regular day work. The main adverse lifestyles among the railway workers were physical inactivity (59.6%), alcohol consumption (40.0%), and smoking (35.7%), and only 13.6% reported a healthy lifestyle. Furthermore, significant statistical differences in the prevalence of dyslipidemia were reported among workers with different lifestyles (P<0.01). After adjusting for confounding factors, smoking was a risk factor for dyslipidemia (OR=1.61, 95%CI: 1.48, 1.75), while highly active physical activity served as a protective factor against dyslipidemia (OR=0.79, 95%CI: 0.71, 0.88). In general, adopting a healthy lifestyle was associated with a decreased risk of dyslipidemia (OR=0.86, 95%CI: 0.77, 0.95). The stratified analyses based on different shift work schedules revealed a statistically significant association between smoking and dyslipidemia across various shift work occupational groups (P<0.001): regular day work, OR=1.62, 95%CI: 1.42, 1.84; rotating night shifts, OR=1.54, 95%CI: 1.35, 1.76; and permanent night shifts, OR=1.75, 95%CI: 1.40, 2.18. In regular day workers, highly active physical activity was associated with a reduced risk of dyslipidemia (OR=0.81, 95%CI: 0.69, 0.95). A similar association was observed among workers undertaking rotating night shifts (OR=0.78, 95%CI: 0.65, 0.94); furthermore, moderately active physical activity was also associated with a reduced risk of dyslipidemia in this occupational group (OR=0.85, 95%CI: 0.74, 0.97). There was no additive interaction between rotating night shifts and lifestyle with relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S) of 0.18 (95%CI: −0.04, 0.41), 0.15 (95%CI: −0.04, 0.33), and 3.19 (95%CI: 0.09~110.44), respectively. There was also no additive interaction between permanent night shifts and lifestyle, with RERI, AP and S of −0.03 (95%CI: −0.43~0.37), −0.02 (95%CI: −0.35~0.31) and 0.90 (95%CI: 0.18~4.46). Further stratification of populations according to shift work schedules and lifestyles revealed that those who worked rotating night shifts and reported unhealthy lifestyles were more likely to present dyslipidemia than those who undertook regular day work and had healthy lifestyles (OR=1.27, 95%CI: 1.09, 1.48). Conclusion Railway workers present less optimistic lipid health status, and unhealthy lifestyles are prevalent among them. Those engaged in night shift work report a higher prevalence of dyslipidemia. Among workers with different shift schedules, smoking and physical inactivity are identified as the primary risk factors for dyslipidemia, and particular attention should be paid to the lipid health status of rotating night shift workers with poor lifestyles.

ObjectiveTo explore and analyze the influencing factors of myopia among the primary and middle school students, and to provide an evidence for the prevention and control of myopia in students through the combination of scientific use in electronic products and adherence improvement to outdoor activities. MethodsStratified cluster sampling method was used to select 4 schools in Jiading District, in which all the students in grades 3‒5 of primary school and grades 7‒9 of middle school were enrolled into the study for a questionnaire survey and refraction examination. The χ² test was used to compare the data between the myopic and non-myopic group. Logistic regression analysis was used to analyze the influencing factors of myopia. ResultsThe total myopia detection rate among the primary and middle school students in the industrial zone of Jiading District was 62.8%, with a detection rate of 46.9% for primary school students and 75.6% for middle school students, respectively. Logistic regression analysis showed that middle school (OR=3.639, 95%CI=3.045‒4.349, P<0.001), female students (OR=1.278, 95%CI=1.081‒1.510, P=0.004), the frequency of school desks and chairs was adjusted>1 semester (OR=1.227, 95%CI=1.031‒1.461, P=0.021), the length of time spent on extracurricular tutorial classes for main courses ≥1 hour in a week (OR=1.205,95%CI=1.009‒1.440, P=0.040), parents reduced the length of time that their children spent on exercise (OR=1.205, 95%CI=1.009‒1.440, P=0.040), and parental myopia (OR=2.611, 95%CI=2.157‒3.160, P<0.001) were associated with myopia among the primary and middle school students in the industrial zone of Jiading District. ConclusionThe detection rate of myopia among students in Jiading District was relatively high. More attention should be paid to the effect of school desks and chairs’ adjustment frequency, the length of time spent on extracurricular tutorial classes for main courses, electronic screen exposure time on students’ vision, so as to prevent and slow down the occurrence and development of myopia.

OBJECTIVE：To est ablish the working mode of the first pharmaceutical ward rounds of clinical pharmacists in our hospital，in order to provide a useful reference for establishing a national standardized pharmaceutical ward rounds model. METHODS：By sharing the clinical cases of the first pharmaceutical ward rounds ，the work content and process of the first pharmaceutical ward rounds in our hospital were introduced. RESULTS & CONCLUSIONS ：The clinical pharmacist ’s first pharmaceutical ward round in our hospital mainly includes self introduction of clinical pharmacists ，diagnosis of patients ’condition under the guidance of doctors ，collection and evaluation of patients ’previous medication information （including previous medication varieties ，usage methods ，efficacy and safety evaluation ），assistance for doctors in formulating initial treatment plan ， carrying out initial medication and diet education ，and intensive communication and cooperation with nurses. The development of first pharmaceutical ward rounds promotes the rational use of drugs in clinic ，elevates the hospitalization satisfaction of patients and improves the professional quality of clinical pharmacists.