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Objective: To explore the impact of ferritin level on the disassociation of glycated hemoglobin A1c (HbA1c) and mean plasma glucose (MPG)., Reseach Design and Methods: We used a 2012-2013 cross-sectional survey conducted in Pinggu district, Beijing including 3095 Chinese participants aged 25-75 years. We categorized their glycemic status by interviewing for diagnosed diabetes and by measuring HbA1c, fasting plasma glucose (FPG), and 2-hours post-load plasma glucose (2-hours PPG). We fitted a multivariable regression model to explore the impact of ferritin on the association of HbA1c or glycated albumin (GA) and mean plasma glucose., Results: A total of 5.65% of participants were diagnosed as diabetes using HbA1c criteria, and 9.79% using oral glucose tolerance test criteria. Compared with males, females had significantly lower hemoglobin levels (159.82 ± 11.56 vs 135.93 ± 12.62) and lower ferritin levels (113.00 [68.55, 185.50] vs 33.40 [12.40, 70.13]). Linear regression analysis performed in different groups classified by different diagnose criterion indicated that the correlation between MPG and HbA1c differs in different tertiles of ferritin (lowest vs middle vs highest: R 2 = 0.507 vs 0.645 vs 0.687 in female; R 2 = 0.415 vs 0.715 vs 0.615 in male), and the association between MPG and HbA1c diminished in the lowest tertile of ferritin., Conclusions: Ferritin level might affect the association between glucose and HbA1c, which should be taken into account when using HbA1c as a diagnosis criterion for diabetes and prediabetes., (© 2020 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)

Background: In view of repeated COVID-19 outbreaks in most countries, clinical trials will continue to be conducted under outbreak prevention and control measures for the next few years. It is very significant to explore an optimal clinical trial management model during the outbreak period to provide reference and insight for other clinical trial centers worldwide., Objective: The aim of this study was to explore the management strategies used to minimize the impact of the COVID-19 epidemic on oncology clinical trials., Methods: We implemented a remote management model to maintain clinical trials conducted at Beijing Cancer Hospital, which realized remote project approval, remote initiation, remote visits, remote administration and remote monitoring to get through two COVID-19 outbreaks in the capital city from February to April and June to July 2020. The effectiveness of measures was evaluated as differences in rates of protocol compliance, participants lost to follow-up, participant withdrawal, disease progression, participant mortality, and detection of monitoring problems., Results: During the late of the first outbreak, modifications were made in trial processing, participant management and quality control, which allowed the hospital to ensure the smooth conduct of 572 trials, with a protocol compliance rate of 85.24% for 3718 participants across both outbreaks. No COVID-19 infections were recorded among participants or trial staff, and no major procedural errors occurred between February and July 2020. These measures led to significantly higher rates of protocol compliance and significantly lower rates of loss to follow-up or withdrawal after the second outbreak than after the first, without affecting rates of disease progression or mortality. The hospital provided trial sponsors with a remote monitoring system in a timely manner, and 3820 trial issues were identified., Conclusions: When public health emergencies occur, an optimal clinical trial model combining on-site and remote management could guarantee the health care and treatment needs of clinical trial participants, in which remote management plays a key role., (©Zhiying Fu, Min Jiang, Kun Wang, Jian Li. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.03.2021.)

Objective: To investigate the morbidity and comorbidity of nonalcoholic fatty liver disease (NAFLD) and different glucose intolerance strata in a community-based population and to explore the association between glucose tolerance levels and NAFLD. Methods: A community-based cohort established for Pinggu Metabolic Disease Study in a suburb of Beijing, China, was established from September 2013 to July 2014 using a random sampling method. Participants were eligible if they were born in Pinggu and had been living there for at least 5 years within the age range of 26-76 years. A 75 grams oral glucose tolerance test was used to determine the strata of glucose tolerance. Unenhanced abdominal computed tomography scan was performed to identify NAFLD. Results: A total of 3122 subjects were included in this analysis. The prevalence of NAFLD was 22.68% (27.58% vs. 19.97% among men and women). The prevalence of type 2 diabetes (T2D) was 18.03% (20.83% vs. 16.22% among men and women). Up to 7.21% of residents had both T2D and NAFLD. 39.96% of diabetic patients and 28.77% of prediabetic patients combined with NAFLD. Compared with adults with normal glucose tolerance, the incidence of NAFLD in T2D patients was more than three times higher after adjusting for sex, age, body mass index (BMI), sedentary time, and dietary habit [odds ratio (OR) = 3.58, confidence interval (95% CI) 2.80-4.58, P  < 0.001]. NAFLD was also more common in individuals with prediabetes, especially patients with impaired glucose tolerance (IGT) (OR = 2.27, 1.75-2.95) or impaired fasting glucose+IGT (OR = 2.78, 1.92-4.03). Conclusions: The morbidity and comorbidity of NAFLD and glucose intolerance are high in the Pinggu population in northern China, highlighting the importance of early prevention and treatment of these two diseases at the same time.

Unreported minor crashes have importance as a surrogate for more serious crashes that require infrastructure, education, and enforcement strategies; and they still inflict damages. To study factors that influence underreporting, cause, and severity of minor crashes; a survey was performed in Kunming and Beijing to collect self-reported personal characteristics and crash history data of the three major urban road users in China: automobile drivers, bicycle riders and electric bike (e-bike) riders. Underreporting rates of automobile to automobile, automobile to non-motorized vehicle, and non-motorized vehicle to non-motorized vehicle crashes are 56%, 77% and 94%, respectively. Minor crashes with higher reported injury severity levels are more likely to be reported. E-bike riders without a driver's license are more likely to cause crashes. Licensing and education could be an effective way to reduce their crashes. The party that is not at fault in a crash is more likely to sustain high level of injury.