Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

Objective:To investigate the influencing factors of participation in free health check-up among community residents.Methods:From 2012 to 2022 Xinzhuang Community Health Service Center of Shanghai Minhang district provided 5 free health check-up for local residents, once every 2 years. Among 5 904 eligible community residents with a mean age of (66.01±5.87) years, 682 (11.55 %), 912 (15.45 %), 842 (14.26 %), 934 (15.82 %), 1 061 (17.97 %) and 1 473 (24.95 %) participated in 5, 4, 3, 2, 1 and 0 health check-ups during 10 years, respectively. The influencing factors of participant frequency were analyzed with multivariate logistic regression model.Results:Multivariate logistic regression analysis showed that age 65 years and above ( OR=0.685, 95% CI: 0.625-0.751, P<0.001), exercising once a week or more ( OR=1.142, 95% CI: 1.031-1.266, P=0.011), and underweight ( OR=0.665, 95% CI:0.496-0.891, P=0.006) were independent factors influencing the participant in free health check-up among community residents. Conclusion:Community residents with older age or underweight are less likely to participate free health check-up, while those with frequent exercise like to participate.

Objective:To explore the risk factors of all-cause death in hypertensive patients in the community.Methods:A cohort of 4 049 hypertensive patients who participated in annual health checkups at Xinzhuang Community Health Service Centre of Shanghai Minhang district from January to December 2012 were enrolled in the study. All-cause death was the endpoint event of this study, and patients were divided into a fatal group and a survival group. The collection date for the endpoint event was December 2022. A multivariate Cox regression model was used to analyse the independent risk factors of all-cause mortality among hypertensive patients in the community.Results:Among 4 049 patients aged (67.9±7.1) years, 1 856 (45.8%) were males. There were 610 cases in the fatal group and 3 439 cases in the survival group. Multivariate Cox proportional regression showed that male gender ( HR=1.446, 95% CI: 1.200-1.742, P<0.001), older age ( HR=1.130, 95% CI: 1.118-1.143, P<0.001), higher waist-to-height ratio ( HR=8.117, 95% CI: 2.235-29.481, P=0.001), positive urinary protein ( HR=2.974, 95% CI: 2.202-4.016, P<0.001), high fasting blood glucose ( HR=1.070, 95% CI: 1.012-1.131, P=0.017), and history of stroke ( HR=1.819, 95% CI: 1.414-2.340, P<0.001) were independent risk factors for all-cause mortality in hypertensive patients, while exercise≥1/week ( HR=0.816, 95% CI: 0.668-0.996, P=0.046) and taking lipid-lowering medications ( HR=0.459, 95% CI: 0.223-0.947, P=0.035) were protective factors for all-cause mortality. Conclusion:For hypertensive patients, male gender, older age, higher waist-to-height ratio, positive urinary protein, high fasting blood glucose, and history of stroke are risk factors for all-cause mortality, while exercise≥1/week and taking lipid-lowering medications are protective factors.

Objective:To analyze the association between sleep status and ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.Methods:It was a cross sentional study. Hypertensive patients who underwent 24-hour ambulatory blood pressure monitoring from May 2021 to April 2023 in Shanghai Xinzhuang Town were enrolled. The demographic information and sleep status of patients were obtained from the questionnaire. A TM-2430 blood pressure monitor was used to measure 24-hour ambulatory blood pressure, and the relevant indicators, including blood pressure level and blood pressure coefficient of variation were documented. The association between sleep status and blood pressure indicators was analyzed with multivariate linear regression model.Results:A total 1 135 patients aged (65.07±12.61) years were enrolled, and 473 (41.67%) of whom were males. The sleep time was<7 hours in 76 cases, 7- 8 hours in 219 cases and >8 hours in 840 cases; the bedtime was earlier than 22∶00 in 415 cases, between 22∶00 and 23∶00 in 474 cases and later than 23∶00 in 246 cases; the wake-up time was before 6∶00 in 230 cases, between 6∶00 and 7∶00 in 521 cases and after 7∶00 in 384 cases. Multivariate linear regression analysis showed that after controlling for gender and age, the sleep time was negatively associated with diurnal, noctumal and 24-hour diastolic blood pressure levels (all P<0.05), and positively associated with diurnal and noctumal systolic blood pressure coefficient of variation, noctumal diastolic blood pressure coefficient of variation, and 24-hour systolic blood pressure coefficient of variation (all P<0.05).The bedtime was positively associated with diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), diastolic blood pressure (all P<0.05); and negatively associated with diurnal systolic blood pressure coefficient of variation, diurnal diastolic blood pressure coefficient of variation, noctumal systolic blood pressure coefficient of variation, 24-hour systolic blood pressure coefficient of variation, and 24-hour diastolic blood pressure coefficient of variation (all P<0.05). The wake-up time was positively associated with diurnal systolic blood pressure, diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), and positively associated with diurmal systolic blood pressure and diastolic blood pressure (both P<0.05). Conclusion:Sleep status is closely associated with ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.

【Objective】 To evaluate and analyze the impact of COVID-19 epidemic on inventory of red blood cells (RBCs)in local and municipal blood stations in China, and to provide reference for the management of public health emergencies. 【Methods】 Relevant data from 2018 to 2021 were collected, and the differences in the volume of qualified RBCs, the usage efficiency of inventory RBCs, the average daily distribution of RBCs,the blood distribution rate of RBCs prepared by 400 mL whole blood, the difference in the average storage days of RBCs at the time of distribution, the average daily inventory of RBCs and the time of the average daily inventory of RBCs to maintain the distribution in 24 local and municipal blood stations in China during the COVID-19 epidemic and non-epidemic periods were retrospectively analyzed. 【Results】 Compared with non-epidemic periods, the volume of qualified RBCs [(117 525.979 ±52 203.175)U] and the average daily distribution of RBCs [( 156. 468 ± 70. 186) U ] increased significantly, but the usage efficiency of inventory RBCs decreased(97.24%±0.51%) significantly (P<0.05).There was no significant difference in the blood distribution rate of RBCs prepared by 400 mL whole blood(73.88%±20.30%), the average storage days of RBCs distribution(13.040 ±3.486), the average daily stock quantity of RBCs[(2 280.542 ±1 446.538) U ] and the time of the average daily inventory of RBCs to maintain the distribution[(15.062 ±7.453) d] (P>0.5). 【Conclusion】 During the COVID-19 epidemic, the inventory management of RBCs operated well, the overall inventory remained relatively stable, the stock composition and storage period showed no significant change.

【Objective】 To analyze the basic characteristics of whole blood donors from blood stations before and after the outbreak of COVID-19. 【Methods】 After excluding invalid data, data related to the basic characteristics of whole blood donors collected from 26 blood stations in China during 2018 to 2021 were statistically analyzed, including the trend of total whole blood donors, the number of repeated blood donors, the frequency of blood donation, the average age of donors and the recruitment of first-time blood donors. 【Results】 Affected by the epidemic, 8 out of 14 indicators were with large variations, accounting for 57%. The overall growth rate of total whole blood donors during the epidemic was higher than before the epidemic (P<0.05).The number of repeated blood donors has shown an increased trend, with a higher number during the epidemic than before (P<0.05). The frequency of blood donation was lower during the epidemic than before(P<0.05).Average ages of blood donors and female blood donors fluctuated widely during the epidemic, both higher than those before the epidemic(P<0.05).The donation rate of first-time blood donors <25 years old and ≥25 years old varied widely and irregularly during the epidemic (both P<0.05). The percentage of first-time blood donors fluctuated irregularly during the epidemic, with overall percentage lower than that before the epidemic(P<0.05). 【Conclusion】 Whole blood donors from 26 blood stations increased after the outbreak of COVID-19, and some indicators in certain areas showed significant fluctuations during the epidemic.

【Objective】 To analyze the hepatitis B virus (HBV) infection data of blood donors from 18 domestic blood stations, so as to investigate the HBV infection situation of blood donors. 【Methods】 The positive rate of HBV and its distribution characteristics of regions, the percentage of HBsAg+ ELISA in first-time vs repeated blood donors, and the percentage of HBsAg-/HBV DNA+ blood donors of 18 domestic blood stations during 2017 to 2020 were collected from the Working Platform for Practice Comparison of Blood Centers, and the HBV infection among blood donors were statistically analyzed. 【Results】 From 2017 to 2020, the positive rate of HBV in blood donors among 18 domestic blood stations was 13.48/10 000-144.02/10 000, with the average HBV positive rate in eastern, central and western region at 26.14/10 000, 51.98/10 000 and 41.00/10 000, respectively. The HBsAg+ rate by ELISA among first-time and repeated blood donors was 14.55/10 000-305.39/10 000 vs 1.04/10 000-87.43/10 000 The HBsAg-/HBV DNA+ yield was 1.80/10 000-35.31/10 000. 【Conclusion】 The distribution of HBV infection in blood donors has regional characteristics, and HBV prevalence was low in repeated blood donors. HBsAg ELISA combined with HBV DNA detection can better ensure blood safety.

Background The human body is usually exposed to a variety of heavy metals at the same time, and different types and concentrations of heavy metals may have complex interactions during their absorption and metabolism in the human body. Seminal fructose is an important energy source for sperm movement. A large number of studies have shown that metal exposure may impair semen quality, and seminal fructose is an important factor affecting male reproduction, so it is necessary to investigate the relationship between mixed heavy metal exposure and seminal fructose to explore the mechanism of semen quality damage caused by metal exposure. Objective To understand the status of common heavy metal exposure in men of childbearing age in Puyang City, Henan Province, and to study the relationship between mixed exposure to heavy metals and seminal fructose, as well as potential interactions among heavy metals. Methods Volunteers were recruited from the Puyang Maternal and Child Health Hospital Reproductive Center for a cross-sectional survey on general demographic characteristics, smoking, alcohol consumption, and other information. Semen samples were collected to detect 12 metals such as vanadium (V), manganese (Mn), cobalt (Co), nickel (Ni), zinc (Zn), selenium (Se), silver (Ag), cadmium (Cd), barium (Ba), thallium (Tl), iron (Fe), and lead (Pb) in seminal plasma and seminal fructose. After correcting for selected confounding factors, a Bayesian kernel machine regression (BKMR) model was used to evaluate the impact of seminal plasma heavy metal mixed exposure and its interactions on seminal fructose. Results A total of 825 adult males were enrolled. The concentrations in M (P₂₅, P₇₅) of V, Mn, Co, Ni, Zn, Se, Ag, Cd, Ba, Tl, Fe, and Pb in seminal plasma were 0.39 (0.28, 0.54), 12.31 (8.92, 17.52), 0.26 (0.18, 0.38), 5.15 (3.32, 8.64), 182159.80 (121847.80, 199144.50), 13.61 (10.55, 17.68), 0.03 (0.02, 0.04), 0.34 (0.27, 0.46), 8.64 (5.94, 13.43), 0.06 (0.05, 0.08), 168.74 (114.17, 259.45), and 1.69 (1.15, 2.36) μg·L⁻¹ respectively. The Spearman correlation results indicated that there was a negative correlation between V, Mn, Co, Zn, Se, Ba, Tl, or Fe in seminal plasma and seminal fructose (P<0.05), and the values of r (95%CI) were −0.044 (−0.087, −0.001), −0.129 (−0.171, −0.087), −0.055 (−0.099, −0.012), −0.099 (−0.143, −0.056), −0.053 (−0.097, −0.010), −0.068 (−0.111, −0.025), −0.095 (−0.138, −0.052), and −0.082 (−0.125, −0.039), respectively. The results of multiple linear regression indicated that there was a negative correlation between the exposure level of Cd, Mn, Zn, Ag, Ba, Tl, or Fe in seminal plasma and seminal fructose (P<0.05), the values of associated β (95%CI) were −0.551 (−0.956, −0.147), −0.315 (−0.419, −0.212), −0.187 (−0.272, −0.103), −0.161 (−0.301, −0.021), −0.188 (−0.314, −0.062), −1.159 (−2.170, −0.147), and −0.153 (−0.230, −0.076), respectively. The BKMR model analysis showed that seminal fructose level decreased with the increase of plasma metal mixed exposure concentration. Compared with all metal exposure at P₅₀, the seminal fructose level decreased by 0.2374 units when all metal exposure was at P₇₅. Seminal plasma Zn [posterior inclusion probabilities (PIPs)=1.0000] had the strongest effect on seminal fructose, followed by Mn (PIPs=0.5872), Se (PIPs=0.5656), and Ba (PIPs=0.5398). The univariate exposure-response curve showed a negative approximate linear correlations between Ba or Mn and seminal fructose, a positive linear correlation between Se and seminal fructose, and an approximate inverted U-shaped association between Zn and seminal fructose. No significant interaction between studied metals was found. Conclusion Mixed metal exposure may lead to decrease of seminal fructose, in which Zn, Mn, Se, and Ba may play an important role. Mn and Zn exposure may reduce the level of seminal fructose, Se may increase the level of seminal fructose, and there may be a threshold effect between Zn exposure and seminal fructose level. No interaction between different metals on seminal fructose is found.

【Objective】 To learn the production efficient of platelet components among prefecture-level blood stations in China, to provide supporting data for those blood stations to optimize the production mode of platelet components and continuously improve production efficiency and supply capacity. 【Methods】 The data from 2017 to 2020 was obtained from 24 prefecture-level blood stations who were the members of the practice comparison network for blood institutes in China. The collection units of apheresis platelets, the number of dual-collections of apheresis platelets and plasma, the average apheresis units of one platelet apheresis procedure, the discarded rate of apheresis platelets, the amount of expired apheresis platelets and the amount of apheresis platelets issued were collected. For concentrated platelets, the prepared amount of platelet concentrates and the amount of expired platelet concentrates were collected; both the quantity of qualified and issued concentrated platelets were submitted for statistical analysis.The total output and efficiency of platelet components were calculated based on the collected data. 【Results】 The average annual growth rate of apheresis platelets collection in 24 prefecture-level blood stations was 12.23%, accounting for 99.80% of the total platelet output; the average collection unit of one platelets apheresis procedure was 1.75; from 2019 to 2020, only 5 blood stations performed dual-collection of platelet and plasma during one apheresis procedure; the discarded rate of apheresis platelets was 0.28%, of which 0.007% was due to expiration. A total of 1 621.2 therapeutic units of concentrated platelets were prepared, and 13.03% of them was discarded due to the expiration. The production efficiency of platelet components was 97.56%, of which the production efficiency of apheresis platelets was 97.61% and the production efficiency of concentrated platelets was 74.43%. 【Conclusion】 There are large regional differences in the supply capacity of platelet components in prefecture-level blood stations. Apheresis platelets are the main resource of platelet components product, and the collection capacity is increasing over the years with the characteristics of high production efficiency and low expiration scrapping rate. However, the preparation of concentrated platelets are still limited with relatively low production and high expiration discarded rate.