The authors of this paper confirm the goal, factors and principles in arrangement of clinical practice, design a transplacement algorithm to solve the model, and after estimating the capacity to interns of affiliated hospital, make the schedule by that algorithm so as to relieve the relative short supply of good clinical education resourses.

Objective:To investigate the efficacy of personalized family doctor contract services on risk factors of atherosclerotic cardiovascular disease (ASCVD) in high-risk population.Methods:Ten matched-community health centers of Shenzhen Luohu district were divided into intervention group and control group by cluster randomiztion. Subjects with high risks of ASCVD were screened out as intervention group from contracted residents who visited these centers and had complete data of the China-PAR model from August 2018 to April 2019. The control group received conventional general family doctor contract services. The individualized management were given to the intervention group after fully understanding patients′ ideas, concerns, and expectations (ICE). After 2-year intervention, score changes of ASCVD risk factors within and between groups were compared.Results:A total of 571 patients were enrolled, including 288 in the intervention group and 283 in the control group. After 2 years of intervention, 7 and 18 were lost to follow-up in two groups, respectively. Finally, 281 in the intervention group and 265 in the control group were included in the study. At baseline, there was no significant difference in ASCVD scores between the intervention group and the control group [(13.33±3.54) vs. (13.09±3.54) points; t=0.84, P=0.403], and the scores in both groups decreased significantly after the intervention [(10.89±4.01), (11.62±4.11) points], while the intervention group decreased more significantly (both P<0.05). Among the risk factors at baseline, HDL-C and diastolic blood pressure in the intervention group were lower than those in the control group, and there were no significant differences in other factors between the two groups. After the intervention, the levels of total cholesterol, systolic blood pressure and diastolic blood pressure in the two groups decreased significantly, and the number of people taking antihypertensive drugs increased significantly ( P<0.001 and P<0.05); HDL-C decreased in the control group ( P=0.023). After the intervention, compared to control group the intervention group had a higher proportion of patients taking antihypertensive drugs, with lower systolic and diastolic blood pressure ( P<0.05). After the intervention, the increase rate of HDL-C in the intervention group was more than that in the control group, and the decrease rate was less than that in the control group (χ 2=6.65, P=0.036). Conclusion:Family doctor contract services can reduce the risk factors of ASCVD, and personalized family doctor contract services can further improve the effects in the prevention and control of ASCVD. However, the effects might be insignificant and inconsistent for the ASCVD risk factors with deeper management requirements or no specific management measures, which highlights the complexity and diversity of ASCVD prevention and control, calling for multi-level and multi-faceted thinking and exploration.

Purpose: Male overweight and obesity could affect sperm quality and reproductive health. However, the impact of body mass index (BMI) on assisted reproductive technology (ART) outcomes in oligospermia and/or asthenospermia patients is yet lacking. This study aims to assess the impact of paternal BMI on ART and neonatal outcomes among oligozoospermia and/or asthenospermia patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI). Materials and Methods: In this study, 2,075 couples undergoing their first fresh embryo transfer between January 2015 and June 2022 were recruited. Following the World Health Organization’s (WHO’s) categories, couples were stratified into three cohorts based on paternal BMI: normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30.0 kg/m2). Modified Poisson regression models were used to assess the associations of paternal BMI with fertilization, in vitro embryonic development, and pregnancy outcomes. Logistic regression models were performed to investigate the associations of paternal BMI with pregnancy loss and neonatal outcomes. Furthermore, stratified analyses were performed based on fertilization methods, male infertility cause, and maternal BMI. Results: Higher paternal BMI is associated with a lower likelihood of achieving normal fertilized (p-trend=0.002), Day 3 transferable (p-trend=0.007), and high-quality embryos (p-trend=0.046) in IVF cycles, rather than in ICSI cycles. Paternal BMI of oligospermia or asthenospermia was negatively correlated with day 3 transferable (p-trend=0.013 and 0.030) and high-quality embryos (p-trend=0.024 and 0.027). Moreover, for neonatal outcomes, paternal BMI was positively associated with macrosomia (p-trend=0.019), large for gestational age (LGA) (p-trend=0.031), and very LGA (p-trend=0.045). Conclusions Our data suggested that higher paternal BMI was associated with fetal overgrowth, reduced fertilization, and embryonic development potential. Among males with oligospermia and/or asthenospermia, the impact of overweight and obesity on the choice of fertilization method and the long-term effects on their offspring need to be further investigated.