Objective:To assess the status of undernutrition and appropriate catch-up growth in extremely preterm infants within 24 months of corrected age (CA).Methods:A retrospective cohort study was conducted. A total of 422 extremely preterm infants born at Shenzhen Maternity and Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University from January 2017 to December 2022 and followed up until 24 months of CA were enrolled. The extremely preterm infants were grouped by gestational age at birth (<25, 25-26, 27 weeks), birth weight (<500, 500-749, 750-999,≥1 000 g), weight for gestational age (large for gestational age (LGA), appropriate for gestational age (AGA), small for gestational age (SGA)) and sex. Weight data within 24 months of CA were collected every 3 months. Nutritional insufficiency, growth rate, and achievement of adequate catch-up growth were analyzed during the period from 0 to 24 months of CA. Z-score method was used to analyze data. Fenton 2013 preterm growth charts (Fenton 2013) were used before 40 weeks of corrected gestational age, and World Health Organization child growth standards (2009) fitted Z-scores were applied from 40 weeks of CA. Changes in weight Z-scores of extremely preterm infants from 0 to 24 months of CA were observed and compared, the occurrence of moderate to severe malnutrition and growth retardation was determined, nutritional insufficiency was assessed, and growth rate as well as the achievement of appropriate catch-up growth were analyzed. The Lambda-mu-sigma method combined with the Z-score fitting model was used to fit and analyze the distribution characteristics of weight percentiles in extremely preterm infants. The Chi-square test was used to compare differences among groups.Results:A total of 422 extremely preterm infants were included, with a gestational age at birth of 26.3(25.4, 27.2) weeks and a birth weight of (880±177) g. Among them, 238 were males and 184 were females; 36 cases (8.5%) were LGA, and 16 cases (3.8%) were SGA. During follow-up within 24 month of CA, 89 cases (21.1%) developed moderate to severe malnutrition. When compared separately among different birth weight and gestational age at birth groups, there had both statistically differences in the incidence of moderate to severe malnutrition ( χ2=42.94 and 9.17, both P<0.05). The incidence was the highest in the birth weight of CA<500 g group and the <25 weeks gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks gestational age at birth group in their respective groups. Growth retardation occurred in 5.2% (22/422). However, there had statistically differences in the incidence of growth retardation among different birth weight and gestational age at birth groups, in each grouped time interval ( χ2=21.61 and 4.30, both P<0.05). The proportions of rapid growth were relatively high in the 0-3 months and 3-6 months of CA groups, which were 96 cases (27.4%) and 98 cases (26.6%), respectively. Overall, appropriate catch-up growth was achieved in 341 cases (80.8%) from 0 to 24 months of CA. There had statistically differences in the completion rate of appropriate catch-up growth among different birth weight and gestational age at birth groups ( χ2=23.65 and 7.08, both P<0.05). The completion rate was the highest in the birth weight of CA<500 g group and the <25 weeks of gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks of gestational age at birth group. Conclusions:The lower the birth weight and gestational age of extremely preterm infants, the higher the incidence of moderate to severe malnutrition and the lower the achievement rate of adequate catch-up growth within 24 months of CA. The period of 0-6 months of CA is the critical window for catch-up in extremely preterm infants.

Objective:To assess the status of undernutrition and appropriate catch-up growth in extremely preterm infants within 24 months of corrected age (CA).Methods:A retrospective cohort study was conducted. A total of 422 extremely preterm infants born at Shenzhen Maternity and Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University from January 2017 to December 2022 and followed up until 24 months of CA were enrolled. The extremely preterm infants were grouped by gestational age at birth (<25, 25-26, 27 weeks), birth weight (<500, 500-749, 750-999,≥1 000 g), weight for gestational age (large for gestational age (LGA), appropriate for gestational age (AGA), small for gestational age (SGA)) and sex. Weight data within 24 months of CA were collected every 3 months. Nutritional insufficiency, growth rate, and achievement of adequate catch-up growth were analyzed during the period from 0 to 24 months of CA. Z-score method was used to analyze data. Fenton 2013 preterm growth charts (Fenton 2013) were used before 40 weeks of corrected gestational age, and World Health Organization child growth standards (2009) fitted Z-scores were applied from 40 weeks of CA. Changes in weight Z-scores of extremely preterm infants from 0 to 24 months of CA were observed and compared, the occurrence of moderate to severe malnutrition and growth retardation was determined, nutritional insufficiency was assessed, and growth rate as well as the achievement of appropriate catch-up growth were analyzed. The Lambda-mu-sigma method combined with the Z-score fitting model was used to fit and analyze the distribution characteristics of weight percentiles in extremely preterm infants. The Chi-square test was used to compare differences among groups.Results:A total of 422 extremely preterm infants were included, with a gestational age at birth of 26.3(25.4, 27.2) weeks and a birth weight of (880±177) g. Among them, 238 were males and 184 were females; 36 cases (8.5%) were LGA, and 16 cases (3.8%) were SGA. During follow-up within 24 month of CA, 89 cases (21.1%) developed moderate to severe malnutrition. When compared separately among different birth weight and gestational age at birth groups, there had both statistically differences in the incidence of moderate to severe malnutrition ( χ2=42.94 and 9.17, both P<0.05). The incidence was the highest in the birth weight of CA<500 g group and the <25 weeks gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks gestational age at birth group in their respective groups. Growth retardation occurred in 5.2% (22/422). However, there had statistically differences in the incidence of growth retardation among different birth weight and gestational age at birth groups, in each grouped time interval ( χ2=21.61 and 4.30, both P<0.05). The proportions of rapid growth were relatively high in the 0-3 months and 3-6 months of CA groups, which were 96 cases (27.4%) and 98 cases (26.6%), respectively. Overall, appropriate catch-up growth was achieved in 341 cases (80.8%) from 0 to 24 months of CA. There had statistically differences in the completion rate of appropriate catch-up growth among different birth weight and gestational age at birth groups ( χ2=23.65 and 7.08, both P<0.05). The completion rate was the highest in the birth weight of CA<500 g group and the <25 weeks of gestational age at birth group, while it was the lowest in the birth weight of CA≥1 000 g group and the 27 weeks of gestational age at birth group. Conclusions:The lower the birth weight and gestational age of extremely preterm infants, the higher the incidence of moderate to severe malnutrition and the lower the achievement rate of adequate catch-up growth within 24 months of CA. The period of 0-6 months of CA is the critical window for catch-up in extremely preterm infants.

Objective:To examine the relationship between college students'core self-evaluation and academic burnout,and to provide empirical support for intervention strategies.Methods:A two-point longitudinal study was conducted with 245 medical students over a period of 18 months(T1:May 2023,T2:November 2024)to assess participants'core self-evaluation level using the Core Self-Evaluation Scale(CSES),and the overall burnout level u-sing the Academic Study Burnout Inventory(ASBI).Cross-lagged panel model was applied to examine the bidirec-tional causal relationship.Results:The cross-lagged results showed that core self-evaluation score in T1 negatively predicted academic burnout score inT2(β=-0.21,P＜0.01),and academic burnout score in T1 also negatively predicted core self-evaluation score in T2(β=-0.20,P＜0.05).Conclusion:Core self-evaluations and academic burnout exhibit a reciprocal predictive relationship over time.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective To investigate the expression levels of LINC02009 and LOC107984895 in peripheral lymphocytes of patients with atrial fibrillation and their clinical significance.Methods A total of 75 hospitalized patients with atrial fibrillation(50 with persistent atrial fibrillation and 25 with paroxysmal atrial fibrillation)from Kunming First People's Hospital between January 2023 and December 2023 were selected as study subjects,along with 50 normal control patients.Real-time quantitative PCR was used to detect the expression levels of LINC02009 and LOC107984895 in peripheral blood leukocytes of patients with atrial fibrillation.Logistic regression analysis was employed to assess the relationship between expression levels and risk factors for atrial fibrillation,and ROC curves were used to predict the diagnostic cut-off values for LINC02009 and LOC107984895 in diagnosing atrial fibrillation.Results There were statistically significant differences in baseline diseases such as hypertension and coronary heart disease,biochemical indicators such as Cr and BNP,and myocardial remodeling indicators such as LAd and LVEF between the AF(paroxysmal atrial fibrillation and persistent atrial fibrillation)group and the Normal group(P＜0.05).The expression levels of LINC02009 and LOC 107984895 in the plasma of the atrial fibrillation group were significantly higher than those in the control group(P＜0.05)and were negatively correlated with LVEF(P＜0.05).The areas under the curve(AUC)of LINC02009 and LOC 107984895 in predicting atrial fibrillation were 0.967(95％CI:0.938～0.995)and 0.900(95％CI:0.838～0.963),respectively.The optimal cut-off values were 1.985 and 0.915,with sensitivities of 88％and 76％,respectively,and specificities of 94％and 90％,respectively.Conclusion LINC02009 and LOC 107984895 are independent risk factors for atrial fibrillation and have certain predictive value for the occurrence of atrial fibrillation.

Non-alcoholic fatty liver disease(NAFLD)is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes.If not intervened in time,NAFLD may develop into liver fibrosis or liver cancer,and ultimately threatening life.NAFLD has complicated etiology and pathogenesis,and there are no effective therapeutic means and specific drugs.Currently,insulin sensitizers,lipid-lowering agents and hep-atoprotective agents are often used for clinical intervention,but these drugs have obvious side effects,and their effectiveness and safety need to be further confirmed.Adenosine monophosphate(AMP)-activated protein kinase(AMPK)plays a central role in maintaining energy homeostasis.Activated AMPK can enhance lipid degradation,alleviate insulin resistance(IR),suppress oxidative stress and inflammatory response,and regulate autophagy,thereby alleviating NAFLD.Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects.In this article,we reviewed the biologically active natural herbal medicines(such as natural herbal medicine formulas,extracts,polysaccharides,and monomers)that reported in recent years to treat NAFLD via regulating AMPK,which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Objective To investigate the immediate therapeutic efficacy of Kuanxiong Aerosol on improving the angina pectoris in the patients complicated with intermediate coronary stenosis(ICS),and to observe its effect on resting full-cycle ratio(RFR),corrected TIMI(thrombolysis in myocardial infarction)frame count(CTFC)in angiography,and coronary serum inflammatory factors.Methods Sixty angina pectoris patients with ICS admitted to the Cardiovascular Department of Dade Road Hospital,Guangdong Provincial Hospital of Traditional Chinese Medicine from March 2023 to March 2024 were randomly divided into the trial group and the control group,with 30 patients in each group.The trial group was given four consecutive sprays of Kuanxiong Aerosol by sublingual spray,and the control group had no intervention but just was given the monitoring for 10 minutes.Before and after the intervention,the changes of coronary RFR,CTFC,Visual Analogue Scale(VAS)score of chest pain,and the serum levels of C-reactive protein(CRP),interleukin 6(IL-6)and lipoprotein-associated phospholipase A2(Lp-PLA2)in the two groups were observed.Moreover,the incidence of adverse reactions during the intervention in the two groups of patients was compared.Results(1)After the intervention,the coronary RFR value of the trial group was increased significantly compared with that before intervention(P<0.01),while the coronary RFR value of the control group was not increased significantly compared with that before intervention(P>0.05);the comparison between the two groups showed that the effect on increasing the coronary RFR value in the trial group was superior to that in the control group(P<0.05).(2)After intervention,the CTFC value of the trial group was significantly decreased compared with that before intervention(P<0.01),while the CTFC value of the control group was not significantly decreased compared with that before intervention(P>0.05);the intergroup comparison showed that the trial group tended to have a better effect on the decrease of CTFC value than the control group,but the difference being not statistically significant(P>0.05).(3)After the intervention,the chest pain VAS score of the trial group was significantly reduced compared with that before intervention(P<0.01),while the pre-and post-treatment changes of the score in the control group was not significant(P>0.05);the intergroup comparison showed that the decrease of the chest pain VAS score in the trial group was superior to that in the control group(P<0.01).In particular for immediate therapeutic efficacy,Kuanxiong Aerosol achieved the effective rate of 96.67%(29/30)for relieving chest pain 10 minutes after sublingual spraying,which was significantly superior to that of the control group[10.00%(3/30)],and the comparison between the two groups showed that the difference was statistically significant(P<0.001).(4)After the intervention,the Lp-LPA2 value of the trial group was decreased compared with that before intervention(P<0.05),while the CRP and IL-6 values of the trial group as well as the CRP,IL-6,and Lp-LPA2 values of the control group were all not significantly decreased compared with those before intervention(P>0.05).The intergroup comparison showed that the trial group's effect on the decrease of Lp-LPA2 value was significantly superior to that of the control group(P<0.05).(5)Before and after the intervention,no obvious changes of the general vital signs in the two groups were shown,no drug-related adverse occurred,either.Conclusion Kuanxiong Aerosol can immediately improve the coronary physiological function indicators of angina pectoris patients with ICS,increase the coronary flow rate,and inhibit inflammatory response of the coronary artery to some degree,thus to alleviate the symptoms of angina pectoris in patients with ICS.

Objective To investigate the effect of programmed cell death-ligand 1(PD-L1)monoclonal antibody and paclitaxel(PTX)combined with lentinan(LNT)on human breast cancer MDA-MB-231 cells in vitro.Methods MDA-MB-231 cells,human peripheral blood mononuclear cells(PBMCs),and MDA-MB-231+PBMCs co-culture were randomly divided into control group,PTX group,LNT group,MPDL3280A(PD-L1 monoclonal antibody)group,PTX+LNT group,and PTX+LNT+MPDL3280A group.The cell activity was detected by CCK8.The expressions of MHC-I and PD-L1 were detected by flow cytometry.The levels of IFN-γ and TNF-α were detected by ELISA kits.Results Compared with control group,the activity of MDA-MB-231 cells was significant inhibited in PTX group,MPDL3280A group,PTX+LNT group,and PTX+LNT+MPDL3280A group(P＜0.01).LNT group and PTX+LNT+MPDL3280A group significantly promoted the immune effect of PBMCs(P＜0.05,P＜0.01).PTX+LNT+MPDL3280A group significantly inhibited the activity of MDA-MB-231cells co-cultured with PBMCs(0.56±0.16 vs.0.39±0.13,P＜0.05).Compared with the negative control,LNT significantly promoted the expression of PD-L1 in MDA-MB-231 and the secretion of IFN-γ by PBMCs(P＜0.05).Conclusion By blocking the effect between PD-L1 and PD-1,PD-L1 monoclonal antibody can improve immunity and promote the antitumor effect of PTX combined with LNT in vitro.

Endometrial cancer is a common malignant tumor in women, and timely diagnosis and treatment are crucial to reduce its mortality. Radiomics is a new technology for quantitative analysis of image features, which has important value for the research and diagnosis of endometrial cancer. This article will retrospectively review the application of radiomics in endometrial cancer from ultrasound, magnetic resonance imaging (MRI), positron emission tomography/computed tomography (PET/CT) and other imaging modalities, as well as the challenges faced, in order to provide more accurate and reliable guidance for clinical diagnosis and treatment.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.