Prevalence of long-term complications in inpatients with diabetes mellitus in China: a nationwide tertiary hospital-based study =============================================================================================================================== * Yihao Liu * Xin Ning * Luyao Zhang * Jianyan Long * Ruiming Liang * Sui Peng * Haibo Wang * Yanbing Li * Wei Chen * Haipeng Xiao ## Abstract **Introduction** There is absence of national data to estimate the prevalence of long-term diabetic complications among inpatients with diabetes in tertiary hospitals in China. **Research design and methods** Using the national Hospital Quality Monitoring System database, inpatients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) were identified by the International Classification of Diseases-10 code, and the temporal trends of microvascular and macrovascular complications 2013–2017 were calculated, and then the risk factors were analysed by multivariate regression analysis. **Results** A total of 92 413 inpatients with T1DM and 6 094 038 inpatients with T2DM were identified in 2013–2017. The proportions of inpatients with microvascular complications in inpatients with T1DM and T2DM increased from 29.9% and 19.0% in 2013 to 31.6% and 21.0% in 2017, respectively. The proportions of inpatients with macrovascular complications in inpatients with T1DM and T2DM increased from 7.3% and 14.5% in 2013 to 13.2% and 18.4% in 2017, respectively. Hypertension and hyperlipidemia were risk factors for both microvascular and macrovascular complications. Among inpatients with T1DM, the adjusted ORs of microvascular complications increased in 40–49 age group and Northeast region, while older age, male and North region were risks factor for macrovascular complications. Among inpatients with T2DM, the ORs of microvascular complications increased in 40–49 age group, female, urban and North region, while older age, male, urban and Southwest region were risks factor for macrovascular complications. **Conclusions** The proportions of long-term complications of inpatients with diabetes in China increased in 2013–2017. Efforts are needed to improve the management of patients with diabetes in China. * China * diabetes complications * risk factors ### Significance of this study #### What is already known about this subject? * Currently, there is absence of national data to estimate the prevalence of long-term diabetic complications among inpatients with diabetes in China. #### What are the new findings? * The proportions of microvascular and macrovascular complications in inpatients with type 1 and type 2 diabetes mellitus increased between 2013 and 2017. * The risk factors of microvascular and macrovascular complications varied in inpatients with type 1 and type 2 diabetes mellitus in China. #### How might these results change the focus of research or clinical practice? * For the first time, our study captures the prevalence of long-term complications in inpatients with diabetes in China and calls for the attention to the management of patients with diabetes, reducing the occurrence of long-term diabetic complications in China. ## Introduction Diabetes mellitus is a systemic chronic metabolism disease characterized by hyperglycemia, which has become one of the major diseases of global concern.1 In the past few decades, the incidence and prevalence of diabetes mellitus had been on the rise globally.2 The prevalence of diabetes mellitus increased from 0.67% in 1980 to 12.8% in 2017 in China.3 The incidence of type 1 diabetes mellitus (T1DM) increased from 0.51 per 100 000 person-years in the 1990s to 1.93 per 100 000 person-years during 2010–2013 in children younger than 15 years in China.4 China had the largest number of patients with diabetes, accounting for 27% of patients with diabetes worldwide.5 Long-term diabetic complications mainly included microvascular and macrovascular complications, such as diabetic retinopathy, nephropathy, neuropathy, acute myocardial infarction (AMI) and stroke. Diabetes mellitus-associated cardiac and non-cardiac atherosclerotic cardiovascular disease may lead to complications in all vascular beds, such as coronary, lower extremity and renal arteries.6 Duration of disease,7 blood glucose fluctuation,8 hypertension9 and hyperlipidemia10 were considered as risk factors for long-term complications. Long-term diabetic complications are major factors resulted in disability, blindness and survival loss in patients with diabetes mellitus.11 12 An analysis of Clinical Practice Research Datalink showed that compared with patients with type 2 diabetes mellitus (T2DM) without microvascular complications, the HRs for the occurrence of cardiovascular events in patients with one, two or three microvascular complications were 1.32, 1.62 and 1.99, respectively.13 The incidences of long-term complications in patients with diabetes in high-income countries has declined in recent decades, with the development of new antidiabetic drugs, the popularization of insulin therapy and more attention to the health education.14–16 An analysis of German statutory health insurance data showed that the healthcare costs of patients with T2DM increased dramatically after the occurrence of diabetic complications, at the time of the event and subsequent years.17 Currently, only regional studies with small sample sizes had been conducted to investigate the long-term complications among patients with diabetes in China.18–20 Information is lacking to estimate the prevalence of long-term diabetic complications among in patients with diabetes at the national level in China. In this study, we aim to estimate the prevalence of long-term complications among inpatients with diabetes in China based on a nationwide database of Hospital Quality Monitoring System (HQMS) and to provide evidence for policy-making and reallocation of medical resources. ## Materials and methods ### Data source HQMS is a national hospitalized patient database for hospital accreditation under the auspices of the National Health Commission. Since 2013, the Commission has requested tertiary hospitals in China to submit standardized electronic inpatient discharge records on a daily basis to HQMS in an automated manner. As of 31 December 2017, HQMS covered 31 provinces throughout mainland China and 1037 tertiary hospitals (44.3% of all tertiary hospitals in China), capturing the medical data of a total of 76 263 617 inpatients. The characteristics of the tertiary hospitals in HQMS were similar to those of overall tertiary hospitals in China.21 The average number of beds and class distribution of the tertiary hospitals in HQMS are similar to those of all tertiary hospitals in China (online supplemental appendix table 1). The number of patient visits in tertiary hospitals accounts for >50% of total patient visits in China.22 HQMS consistently collected a dataset of information from all inpatient medical records across each tertiary hospital via a standard protocol.23 For each patient in tertiary hospitals, information on demographic characteristics, clinical and pathological diagnoses, treatment procedures, type of health insurance and expenditure breakdowns were extracted from the standardized discharge summary known as the ‘front-page’ of hospital medical records. This information was recorded by the clinicians in charge of the patients. The diagnoses were then coded based on the International Classification of Diseases-10 (ICD-10) by certified coders in each hospital. ### Supplementary data [[bmjdrc-2021-002720supp001.pdf]](pending:yes) ### Patient identification ICD-10 codes were used to identify patients with T1DM and T2DM in HQMS database. Inpatients with ICD-10 code E10 (T1DM) or E11 (T2DM) from January 2013 to December 2017 were included in our study. Patients without available unique personal identification number were excluded. Demographic characteristics were obtained from the first hospitalization record with the diagnosis of T1DM or T2DM. Long-term diabetic complications were divided into two types: microvascular complications (diabetic retinopathy, diabetic nephropathy, diabetic neuropathy and diabetic foot) and macrovascular complications (diabetic peripheral vascular disease, AMI stroke and heart failure). Inpatients with any ICD-10 code of diabetic retinopathy, nephropathy, neuropathy, peripheral vascular complications and diabetic foot in their medical record would be identified (online supplemental appendix table 2). Only patients with ICD-10 codes of AMI and stroke as primary diagnosis would be identified as the occurrence of AMI and stroke. ### Statistical analysis All analyses were performed separately for inpatients with T1DM and T2DM. Continuous variables were presented as mean and SD and median (IQR). Categorical variables were presented as numbers and proportions. The overall proportions of microvascular/macrovascular complications in inpatients with T1DM/T2DM 2013–2017 were defined as the number of inpatients with microvascular/macrovascular complications in any year of 2013–2017 divided by the total number of inpatients with T1DM/T2DM 2013–2017. The proportions of microvascular/macrovascular complications in inpatients with T1DM/T2DM in each year of 2013–2017 were defined as the number of inpatients with microvascular/macrovascular complications in the corresponding year of 2013–2017 divided by the number of inpatients with T1DM/T2DM in the corresponding year of 2013–2017. Cochran-Armitage trend test was used to test the crude temporal trend of long-term complications between 2013 and 2017. Univariate and multivariate logistic regression model was used to evaluate the influence of age, gender, region, urban-rural distribution, hypertension and hyperlipidemia on long-term complications. After adjusting for the above factors, the temporal trends of long-term complications were assessed again. Results were presented as ORs and 95% CIs. All p values are two-tailed. P value <0.05 was considered to be statistically significant. All statistical analyses were done using SAS software, V.9.4 (SAS Institute, Cary, North Carolina, USA). ## Results ### Demographic characteristics of inpatients with diabetes A total of 92 413 inpatients with T1DM and 6 094 038 inpatients with T2DM were identified in HQMS database from 2013 to 2017 (table 1). Male inpatients accounted for 52.9% and 54.0% of the inpatients with T1DM and T2DM, respectively. The median age of inpatients was 42 (IQR 26–59) for T1DM and 63 (IQR 54–71) for T2DM, respectively. Online supplemental appendix table 3 shows the demographic characteristics of inpatients with diabetes each year from 2013 to 2017. View this table: [Table 1](http://drc.bmj.com/content/10/3/e002720/T1) Table 1 Demographic characteristics of inpatients with T1DM and T2DM in HQMS database ### Microvascular complications of inpatients with diabetes From 2013 to 2017, the proportions of microvascular complications in inpatients with T1DM and T2DM were 34.1% and 23.8%, respectively. The proportions of diabetic retinopathy, nephropathy, neuropathy and diabetic foot in inpatients with T1DM and T2DM are shown in online supplemental appendix table 4. The proportions of microvascular complications in inpatients with T1DM and T2DM increased from 29.9% and 19.0% in 2013 to 31.6% and 21.0% in 2017, respectively (p<0.05) (online supplemental appendix table 5). The proportions of diabetic retinopathy, neuropathy and foot in inpatients with T2DM and diabetic neuropathy in inpatients with T1DM increased from 2013 to 2017 (all p values <0.05) (figure 1A and B). ![Figure 1](http://drc.bmj.com/https://drc.bmj.com/content/bmjdrc/10/3/e002720/F1.medium.gif) [Figure 1](http://drc.bmj.com/content/10/3/e002720/F1) Figure 1 Temporal trends in proportions of long-term complications in inpatients with diabetes. The proportion of each year was calculated by dividing the number of inpatients with complications each year by the number of inpatients with diabetes each year. (A) Microvascular complications in inpatients with T1DM. (B) Microvascular complications in inpatients with T2DM. (C) Macrovascular complications in inpatients with T1DM. (D) Macrovascular complications in inpatients with T2DM. AMI, acute myocardial infarction; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus. The results of regression analysis also showed that the proportion of microvascular complication among inpatients with T1DM and T2DM were significantly increased by year (adjusted ORs of T1DM and T2DM were 1.02 (95% CI 1.01 to 1.03, p=0.001) and 1.03 (95% CI 1.03 to 1.03, p<0.001), respectively) (online supplemental appendix table 6). ### Macrovascular complications of inpatients with diabetes From 2013 to 2017, the proportions of macrovascular complications in inpatients with T1DM and T2DM were 13.9% and 21.1%, respectively. The proportions of macrovascular complications in inpatients with T1DM and T2DM increased from 2013 to 2017 (online supplemental appendix table 5). The proportions of AMI, stroke, heart failure and peripheral vascular disease in inpatients with T1DM and T2DM are shown in online supplemental appendix table 4. The proportions of AMI, stroke, heart failure and peripheral vascular disease in inpatients with T1DM and T2DM increased from 2013 to 2017 (all p<0.001) (online supplemental appendix table 5, figure 1C and D). The proportions of AMI and stroke in inpatients with T1DM and T2DM increased from 2013 to 2017 (p<0.001) (online supplemental appendix table 7). Compared with non-diabetic inpatients, the proportions of AMI and stroke in diabetes inpatients increased more significantly. However, the proportions of AMI and stroke in non-diabetic inpatients changed from 0.6% and 3.4% in 2013 to 0.8% and 4.0% in 2017, respectively (online supplemental appendix table 7). The results of regression analysis also showed that the proportions of macrovascular complication among inpatients with T1DM and T2DM were significantly increased by year (online supplemental appendix table 6). ### The risk factors of microvascular and macrovascular complications among inpatients with diabetes By the multivariate regression analysis, hypertension and hyperlipidemia were risk factors for both microvascular and macrovascular complications of inpatients with T1DM or T2DM. Among inpatients with T1DM, 40–49 age group and Northeast region were risk factors for microvascular complications, while older age, male and North region were risk factors for macrovascular complications. Among inpatients with T2DM, 40–49 age group, female, urban and North region were risk factors for microvascular complications, while older age, male, urban and Southwest region were risk factors for macrovascular complications. The unadjusted and adjusted ORs of age, gender, urban-rural distribution, region, hypertension and hyperlipidemia for the overall proportions of microvascular and macrovascular complications among inpatients with diabetes 2013–2017 are shown in tables 2–3. View this table: [Table 2](http://drc.bmj.com/content/10/3/e002720/T2) Table 2 ORs of confounding factors for the proportion of long-term complications in inpatients with T1DM View this table: [Table 3](http://drc.bmj.com/content/10/3/e002720/T3) Table 3 ORs of confounding factors for the proportion of long-term complications in inpatients with T2DM ## Discussion To our knowledge, this is the first nationwide study to report the prevalence of long-term complications and risk factors among inpatients with diabetes in tertiary hospitals in China. We found that from 2013 to 2017, the proportions of microvascular and macrovascular complications among inpatients with T1DM and T2DM in tertiary hospitals increased. The risk factors of microvascular and macrovascular complications varied in inpatients with T1DM and T2DM. In recent years, advances in integrated management of patients with diabetes have contributed to the reduction of diabetic complications.16 Studies in Hong Kong,24 the USA16 25 and Sweden14 had observed that the incidences of diabetic complications and cardiovascular events declined in recent years. Contrary to the developed areas, we found that the proportions of microvascular and macrovascular complications among inpatients with T1DM and T2DM in China increased from 2013 to 2017. The increasing trend may have contributed to inadequate integrated management, poor patient compliance, increased urbanisation and poor primary healthcare system. A recent cross-sectional study showed that only 49.0% of patients with diabetes in China received diabetes treatment, and 49.4% of them had a hemoglobin A1c (HbA1c) concentration of <7.0%.3 As a result of increased economic development and urbanisation, changes in lifestyle and diet may lead to obesity and a reduction in physical activity.26 Low capacity in primary healthcare system leads to inadequate availability of treatment regimens.27 To a lesser extent, increasing life expectancy may have contributed to the increasing trends of long-term complications.28 In our study, diabetic microvascular complications were more common among patients with T1DM than those with T2DM. Patients with T1DM may need more strict blood glucose management due to their young age of onset and longer course of disease.29 The proportion of long-term complications among inpatients with diabetes in China varies greatly in different studies. Among 3462 inpatients with T2DM in Beijing, Shanghai, Tianjin and Chongqing during 1991–2000, the prevalence of diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, lower limb vascular complications, coronary heart disease and cerebrovascular diseases were 31.5%, 39.7%, 51.1%, 9.3%, 25.1% and 17.3%, respectively.30 More than two-thirds of over 60 000 inpatients with T2DM in Beijing from 2006 to 2010 had diabetes-related complications. The most common long-term complications of them were peripheral neuropathy (32.8%), retinopathy (23.4%), diabetic nephropathy (20.2%), cardiovascular disease (19.8%) and peripheral vascular disease (17.1%), respectively.20 The proportions of complications in the above studies were higher than the results of this study, which may be related to different lifestyle and diet, better access to medical services and higher screening intensity for complication in those relatively developed areas. In addition, the patients included in previous studies may have more complicated conditions and a relatively higher proportion of complications, as the hospitals included in the previous studies are top hospitals in top cities. The gender differences in the risk of long-term complications among patients with diabetes have been controversial. In the general population, the prevalence of coronary heart disease was higher in male than in female population of the same age group.31 A meta-analysis showed that the adjusted risk of coronary heart disease in females with diabetes was 58% higher than in males with diabetes.32 In this study, male inpatients with either T1DM or T2DM had a much higher proportion of macrovascular complications than female inpatients. It may be related to estrogen protection among female patients and propensity for harmful lifestyles such as smoking and drinking among male patients.33 By contrast, female was a risk factor of microvascular complication in inpatients with T2DM in this study. It had been reported that women were also more susceptible to microvascular complications in the Middle East T2DM population, but not in Caucasian population.34 35 More research is needed to explore the potential mechanisms for gender difference in the occurrence of microvascular complications. In addition, we found that the proportions of microvascular and macrovascular complications among inpatients with T2DM were higher in urban areas than in rural areas, which is consistent with previous studies.36–38 The difference may be related to the urbanized diet and lifestyle, or the relatively poor access to medical services in rural areas where patients with asymptomatic diabetic complications are less likely to be identified. There are some limitations in our study. First, HQMS database covered >44.3% of the tertiary hospitals in China, rather than all the tertiary hospitals. Second, the results of this study could only be generalised for patients who attended tertiary hospitals in China, instead of the entire diabetic population in China. Third, the clinical information of prescription, duration of diabetes, HbA1c and outpatient data were not available in HQMS database. Fourth, the number and causes of hospital admissions may change over the time period under study. For the first time, our study captures the prevalence of microvascular and macrovascular complications in inpatients with diabetes in tertiary hospitals in China, which also enriches global outlook for diabetic complications. There is an urgent need for improving the health management level of patients with diabetes and driving optimization of healthcare system. ## Data availability statement Data are available on reasonable request. Authors will share de-identified individual participant data on request with researchers who provide a methodological proposal and can conduct analyses that achieve the aims of the proposal. Data sharing requests can be directed to xiaohp@mail.sysu.edu.cn by email. To gain access, data requestors will need to sign a data access agreement. ## Ethics statements ### Patient consent for publication Not applicable. ## Footnotes * YLiu, XN and LZ contributed equally. * Contributors HX and WC supervised the study. HX, WC and YLiu had the idea and designed the study. JL and RL did the statistical analysis. HX, WC, YLiu, XN and LZ wrote the draft report. HW, SP and YLi performed critical revision on the manuscript. All authors contributed to data interpretation. HX and WC verified all the data. HX and WC are the guarantors of this work. All authors revised the report and approved the final version before submission. * Funding The work was supported by China-World Health Organization Biennial Collaborative Projects 2018-2019 (grant number 2019/892000-0); the National Natural Science Foundation of China (grant numbers 81970599, 82170737), Guangdong Provincial Key Laboratory of Nephrology (grant number 2020B1212060028). * Competing interests None declared. * Provenance and peer review Not commissioned; externally peer reviewed. * Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise. [http://creativecommons.org/licenses/by-nc/4.0/](http://creativecommons.org/licenses/by-nc/4.0/) This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: [http://creativecommons.org/licenses/by-nc/4.0/](http://creativecommons.org/licenses/by-nc/4.0/). ## References 1. Forbes JM, Cooper ME. Mechanisms of diabetic complications. Physiol Rev 2013;93:137–88.[doi:10.1152/physrev.00045.2011](http://dx.doi.org/10.1152/physrev.00045.2011)pmid:http://www.ncbi.nlm.nih.gov/pubmed/23303908 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1152/physrev.00045.2011&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=23303908&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 2. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 2016;387:1513–30.[doi:10.1016/S0140-6736(16)00618-8](http://dx.doi.org/10.1016/S0140-6736(16)00618-8)pmid:http://www.ncbi.nlm.nih.gov/pubmed/27061677 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1016/S0140-6736(16)00618-8&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=27061677&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 3. Li Y, Teng D, Shi X, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American diabetes association: national cross sectional study. BMJ 2020;369:m997.[doi:10.1136/bmj.m997](http://dx.doi.org/10.1136/bmj.m997)pmid:http://www.ncbi.nlm.nih.gov/pubmed/32345662 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjE2OiIzNjkvYXByMjhfMS9tOTk3IjtzOjQ6ImF0b20iO3M6MjU6Ii9ibWpkcmMvMTAvMy9lMDAyNzIwLmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 4. Weng J, Zhou Z, Guo L, et al. Incidence of type 1 diabetes in China, 2010-13: population based study. BMJ 2018;360:j5295.[doi:10.1136/bmj.j5295](http://dx.doi.org/10.1136/bmj.j5295)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29298776 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjE3OiIzNjAvamFuMDNfNC9qNTI5NSI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 5. Ma RCW. Epidemiology of diabetes and diabetic complications in China. Diabetologia 2018;61:1249–60.[doi:10.1007/s00125-018-4557-7](http://dx.doi.org/10.1007/s00125-018-4557-7)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29392352 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 6. Muzurović EM, Mikhailidis DP. Diabetes mellitus and noncardiac atherosclerotic vascular Disease-Pathogenesis and pharmacological treatment options. J Cardiovasc Pharmacol Ther 2021;26:25–39.[doi:10.1177/1074248420941675](http://dx.doi.org/10.1177/1074248420941675)pmid:http://www.ncbi.nlm.nih.gov/pubmed/32666812 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 7. Buse JB, Ginsberg HN, Bakris GL, et al. Primary prevention of cardiovascular diseases in people with diabetes mellitus: a scientific statement from the American heart association and the American diabetes association. Diabetes Care 2007;30:162–72.[doi:10.2337/dc07-9917](http://dx.doi.org/10.2337/dc07-9917)pmid:http://www.ncbi.nlm.nih.gov/pubmed/17192355 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiIzMC8xLzE2MiI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 8. DECODE Study Group, European Diabetes Epidemiology Group. Is the current definition for diabetes relevant to mortality risk from all causes and cardiovascular and noncardiovascular diseases? Diabetes Care 2003;26:688–96.[doi:10.2337/diacare.26.3.688](http://dx.doi.org/10.2337/diacare.26.3.688)pmid:http://www.ncbi.nlm.nih.gov/pubmed/12610023 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiIyNi8zLzY4OCI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 9. Skyler JS, Bergenstal R, Bonow RO, et al. Intensive glycemic control and the prevention of cardiovascular events: implications of the Accord, advance, and Va diabetes trials: a position statement of the American diabetes association and a scientific statement of the American College of cardiology Foundation and the American heart association. J Am Coll Cardiol 2009;53:298–304.[doi:10.1016/j.jacc.2008.10.008](http://dx.doi.org/10.1016/j.jacc.2008.10.008)pmid:http://www.ncbi.nlm.nih.gov/pubmed/19147051 [FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6MzoiUERGIjtzOjExOiJqb3VybmFsQ29kZSI7czo0OiJhY2NqIjtzOjU6InJlc2lkIjtzOjg6IjUzLzMvMjk4IjtzOjQ6ImF0b20iO3M6MjU6Ii9ibWpkcmMvMTAvMy9lMDAyNzIwLmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 10. Naqvi SSZH, Imani S, Hosseinifard H, et al. Associations of serum low-density lipoprotein and systolic blood pressure levels with type 2 diabetic patients with and without peripheral neuropathy: systemic review, meta-analysis and meta-regression analysis of observational studies. BMC Endocr Disord 2019;19:125.[doi:10.1186/s12902-019-0453-5](http://dx.doi.org/10.1186/s12902-019-0453-5)pmid:http://www.ncbi.nlm.nih.gov/pubmed/31767009 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 11. Mishra SC, Chhatbar KC, Kashikar A, et al. Diabetic foot. BMJ 2017;359:j5064.[doi:10.1136/bmj.j5064](http://dx.doi.org/10.1136/bmj.j5064)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29146579 [FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiRlVMTCI7czoxMToiam91cm5hbENvZGUiO3M6MzoiYm1qIjtzOjU6InJlc2lkIjtzOjE3OiIzNTkvbm92MTZfNS9qNTA2NCI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 12. Vujosevic S, Aldington SJ, Silva P, et al. Screening for diabetic retinopathy: new perspectives and challenges. Lancet Diabetes Endocrinol 2020;8:337–47.[doi:10.1016/S2213-8587(19)30411-5](http://dx.doi.org/10.1016/S2213-8587(19)30411-5)pmid:http://www.ncbi.nlm.nih.gov/pubmed/32113513 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1016/S2213-8587(19)30411-5&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 13. Brownrigg JRW, Hughes CO, Burleigh D, et al. Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study. Lancet Diabetes Endocrinol 2016;4:588–97.[doi:10.1016/S2213-8587(16)30057-2](http://dx.doi.org/10.1016/S2213-8587(16)30057-2)pmid:http://www.ncbi.nlm.nih.gov/pubmed/27216886 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 14. Rawshani A, Rawshani A, Franzén S, et al. Mortality and cardiovascular disease in type 1 and type 2 diabetes. N Engl J Med 2017;376:1407–18.[doi:10.1056/NEJMoa1608664](http://dx.doi.org/10.1056/NEJMoa1608664)pmid:http://www.ncbi.nlm.nih.gov/pubmed/28402770 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1056/NEJMoa1608664&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=28402770&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 15. Helve J, Sund R, Arffman M, et al. Incidence of end-stage renal disease in patients with type 1 diabetes. Diabetes Care 2018;41:434–9.[doi:10.2337/dc17-2364](http://dx.doi.org/10.2337/dc17-2364)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29263163 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiI0MS8zLzQzNCI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 16. Gregg EW, Li Y, Wang J, et al. Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med 2014;370:1514–23.[doi:10.1056/NEJMoa1310799](http://dx.doi.org/10.1056/NEJMoa1310799)pmid:http://www.ncbi.nlm.nih.gov/pubmed/24738668 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1056/NEJMoa1310799&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=24738668&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) [Web of Science](http://drc.bmj.com/lookup/external-ref?access_num=000334601600008&link_type=ISI) 17. Kähm K, Laxy M, Schneider U, et al. Health care costs associated with incident complications in patients with type 2 diabetes in Germany. Diabetes Care 2018;41:971–8.[doi:10.2337/dc17-1763](http://dx.doi.org/10.2337/dc17-1763)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29348194 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiI0MS81Lzk3MSI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 18. Yang D, Deng H, Luo G, et al. Demographic and clinical characteristics of patients with type 1 diabetes mellitus: a multicenter registry study in Guangdong, China. J Diabetes 2016;8:847–53.[doi:10.1111/1753-0407.12366](http://dx.doi.org/10.1111/1753-0407.12366)pmid:http://www.ncbi.nlm.nih.gov/pubmed/26663759 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=doi:10.1111/1753-0407.12366&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=26663759&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 19. Bao X, Yang C, Fang K, et al. Hospitalization costs and complications in hospitalized patients with type 2 diabetes mellitus in Beijing, China. J Diabetes 2017;9:405–11.[doi:10.1111/1753-0407.12428](http://dx.doi.org/10.1111/1753-0407.12428)pmid:http://www.ncbi.nlm.nih.gov/pubmed/27194641 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 20. Hu YH, Pan XR, Liu PA, et al. Coronary heart disease and diabetic retinopathy in newly diagnosed diabetes in Da Qing, China: the Da Qing IGT and diabetes study. Acta Diabetol 1991;28:169–73.[doi:10.1007/BF00579721](http://dx.doi.org/10.1007/BF00579721)pmid:http://www.ncbi.nlm.nih.gov/pubmed/1777654 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1007/BF00579721&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=1777654&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 21. Liu Y, Lai F, Long J, et al. Screening and the epidemic of thyroid cancer in China: an analysis of national representative inpatient and commercial insurance databases. Int J Cancer 2021;148:1106–14.[doi:10.1002/ijc.33298](http://dx.doi.org/10.1002/ijc.33298)pmid:http://www.ncbi.nlm.nih.gov/pubmed/32930403 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 22. Medical services in China, 2018. Available: [http://www.nhc.gov.cn/mohwsbwstjxxzx/s7967/201901/57dec69d2c8c4e669864b067d2a1fb2e.shtml](http://www.nhc.gov.cn/mohwsbwstjxxzx/s7967/201901/57dec69d2c8c4e669864b067d2a1fb2e.shtml) [Accessed July 12, 2021]. 23. Chen J, Tian D-C, Zhang C, et al. Incidence, mortality, and economic burden of myasthenia gravis in China: a nationwide population-based study. Lancet Reg Health West Pac 2020;5:100063.[doi:10.1016/j.lanwpc.2020.100063](http://dx.doi.org/10.1016/j.lanwpc.2020.100063)pmid:http://www.ncbi.nlm.nih.gov/pubmed/34327399 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 24. Luk AOY, Hui EMT, Sin M-C, et al. Declining trends of Cardiovascular-Renal complications and mortality in type 2 diabetes: the Hong Kong diabetes database. Diabetes Care 2017;40:928–35.[doi:10.2337/dc16-2354](http://dx.doi.org/10.2337/dc16-2354)pmid:http://www.ncbi.nlm.nih.gov/pubmed/28490423 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiI0MC83LzkyOCI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 25. Burrows NR, Li Y, Gregg EW, et al. Declining rates of hospitalization for selected cardiovascular disease conditions among adults aged ≥35 years with diagnosed diabetes, U.S., 1998-2014. Diabetes Care 2018;41:293–302.[doi:10.2337/dc17-1259](http://dx.doi.org/10.2337/dc17-1259)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29150530 [Abstract/FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NzoiZGlhY2FyZSI7czo1OiJyZXNpZCI7czo4OiI0MS8yLzI5MyI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 26. Ma RCW, Lin X, Jia W. Causes of type 2 diabetes in China. Lancet Diabetes Endocrinol 2014;2:980–91.[doi:10.1016/S2213-8587(14)70145-7](http://dx.doi.org/10.1016/S2213-8587(14)70145-7)pmid:http://www.ncbi.nlm.nih.gov/pubmed/25218727 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 27. Li X, Lu J, Hu S, et al. The primary health-care system in China. Lancet 2017;390:2584–94.[doi:10.1016/S0140-6736(17)33109-4](http://dx.doi.org/10.1016/S0140-6736(17)33109-4)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29231837 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1016/S0140-6736(17)33109-4&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=29231837&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 28. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the global burden of disease study 2016. Lancet 2017;390:1211–59.[doi:10.1016/S0140-6736(17)32154-2](http://dx.doi.org/10.1016/S0140-6736(17)32154-2)pmid:http://www.ncbi.nlm.nih.gov/pubmed/28919117 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=doi:10.1016/S0140-6736(17)32154-2&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=28919117&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 29. DiMeglio LA, Evans-Molina C, Oram RA. Type 1 diabetes. Lancet 2018;391:2449–62.[doi:10.1016/S0140-6736(18)31320-5](http://dx.doi.org/10.1016/S0140-6736(18)31320-5)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29916386 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 30. Zhang B, Xiang H-ding, Mao W-bo, et al. [Epidemiological survey of chronic vascular complications of type 2 diabetic in-patients in four municipalities]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao 2002;24:452–6.pmid:http://www.ncbi.nlm.nih.gov/pubmed/12905763 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=12905763&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 31. Mosca L, Barrett-Connor E, Wenger NK. Sex/gender differences in cardiovascular disease prevention: what a difference a decade makes. Circulation 2011;124:2145–54.[doi:10.1161/CIRCULATIONAHA.110.968792](http://dx.doi.org/10.1161/CIRCULATIONAHA.110.968792)pmid:http://www.ncbi.nlm.nih.gov/pubmed/22064958 [FREE Full Text](http://drc.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiRlVMTCI7czoxMToiam91cm5hbENvZGUiO3M6MTQ6ImNpcmN1bGF0aW9uYWhhIjtzOjU6InJlc2lkIjtzOjExOiIxMjQvMTkvMjE0NSI7czo0OiJhdG9tIjtzOjI1OiIvYm1qZHJjLzEwLzMvZTAwMjcyMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30=) 32. Wang Y, O'Neil A, Jiao Y, et al. Sex differences in the association between diabetes and risk of cardiovascular disease, cancer, and all-cause and cause-specific mortality: a systematic review and meta-analysis of 5,162,654 participants. BMC Med 2019;17:136.[doi:10.1186/s12916-019-1355-0](http://dx.doi.org/10.1186/s12916-019-1355-0)pmid:http://www.ncbi.nlm.nih.gov/pubmed/31296205 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1186/s12916-019-1355-0&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 33. Regitz-Zagrosek V, Kararigas G. Mechanistic pathways of sex differences in cardiovascular disease. Physiol Rev 2017;97:1–37.[doi:10.1152/physrev.00021.2015](http://dx.doi.org/10.1152/physrev.00021.2015)pmid:http://www.ncbi.nlm.nih.gov/pubmed/27807199 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1152/physrev.00021.2015&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=27807199&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 34. Cheema S, Maisonneuve P, Zirie M, et al. Risk factors for microvascular complications of diabetes in a high-risk middle East population. J Diabetes Res 2018;2018:1–7.[doi:10.1155/2018/8964027](http://dx.doi.org/10.1155/2018/8964027)pmid:http://www.ncbi.nlm.nih.gov/pubmed/30057913 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 35. Pop-Busui R, Lu J, Lopes N, et al. Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the Bari 2D cohort. J Peripher Nerv Syst 2009;14:1–13.[doi:10.1111/j.1529-8027.2009.00200.x](http://dx.doi.org/10.1111/j.1529-8027.2009.00200.x)pmid:http://www.ncbi.nlm.nih.gov/pubmed/19335534 [CrossRef](http://drc.bmj.com/lookup/external-ref?access_num=10.1111/j.1529-8027.2009.00200.x&link_type=DOI) [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=19335534&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 36. Alemu S, Dessie A, Tsegaw A, et al. Retinopathy in type 1 diabetes mellitus: major differences between rural and urban dwellers in Northwest Ethiopia. Diabetes Res Clin Pract 2015;109:191–8.[doi:10.1016/j.diabres.2015.04.010](http://dx.doi.org/10.1016/j.diabres.2015.04.010)pmid:http://www.ncbi.nlm.nih.gov/pubmed/25944537 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 37. Song P, Yu J, Chan KY, et al. Prevalence, risk factors and burden of diabetic retinopathy in China: a systematic review and meta-analysis. J Glob Health 2018;8:010803.[doi:10.7189/jogh.08.010803](http://dx.doi.org/10.7189/jogh.08.010803)pmid:http://www.ncbi.nlm.nih.gov/pubmed/29899983 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom) 38. Afroz A, Zhang W, Wei Loh AJ, et al. Macro- and micro-vascular complications and their determinants among people with type 2 diabetes in Bangladesh. Diabetes Metab Syndr 2019;13:2939–46.[doi:10.1016/j.dsx.2019.07.046](http://dx.doi.org/10.1016/j.dsx.2019.07.046)pmid:http://www.ncbi.nlm.nih.gov/pubmed/31425960 [PubMed](http://drc.bmj.com/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fbmjdrc%2F10%2F3%2Fe002720.atom)