Diabetes-attributable mortality in the United States from 2003 to 2016 using a multiple-cause-of-death approach

Racial and economic segregation and diabetes mortality in the USA, 2016-2020

BACKGROUND

The purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.

METHODS

We conducted a cross-sectional ecological study that combined county-level diabetes mortality data from the National Vital Statistics System and sociodemographic information drawn from the 2016-2020 American Community Survey (n=2380 counties in the USA). Racialized economic segregation was measured using the Index Concentration at the Extremes (ICE) for income (ICEincome), race (ICErace) and combined income and race (ICEcombined). ICE measures were categorised into quintiles, Q1 representing the highest concentration and Q5 the lowest concentration of low-income, non-Hispanic (NH) black and low-income NH black households, respectively. Diabetes was ascertained as the underlying cause of death. County-level covariates included the percentage of people aged ≥65 years, metropolitan designation and population size. Multilevel Poisson regression was used to estimate the adjusted mean mortality rate and adjusted risk ratios (aRR) comparing Q1 and Q5.

RESULTS

Adjusted mean diabetes mortality rate was consistently greater in counties with higher concentrations of low-income (ICEincome) and low-income NH black households (ICEcombined). Compared with counties with the lowest concentration (Q1), counties with the highest concentration (Q5) of low-income (aRR 1.96; 95% CI 1.81 to 2.11 for ICEincome), NH black (aRR 1.32; 95% CI 1.18 to 1.47 for ICErace) and low-income NH black households (aRR 1.70; 95% CI 1.56 to 1.84 for ICEcombined) had greater diabetes mortality.

CONCLUSION

Racial and economic segregation is associated with diabetes mortality across US counties.

Trends in mortality related to kidney failure and diabetes mellitus in the United States: a 1999-2020 analysis

BACKGROUND

Kidney failure ranks as the tenth leading cause of mortality in the United States (US), frequently arising as a complication associated with diabetes mellitus (DM).

METHODS

Trends in DM and kidney failure mortality were assessed using a cross-sectional analysis of death certificates from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Crude and age-adjusted mortality rates (AAMR) per 100,000 people and annual percent change (APC) in age-adjusted mortality rate with 95% CI were obtained and measured across different demographic and geographic subgroups.

RESULTS

Between 1999 and 2020, a total of 325,515 deaths occurred related to kidney failure and DM. The overall age-adjusted mortality rate showed no significant change between 1999 and 2012, after which it declined until 2015 - 64.8 (95% CI - 75.6 to - 44.8) and has been steadily increasing since. Men had consistently higher age-adjusted mortality rates than women throughout the study duration (overall age-adjusted mortality rate men: 8.1 vs. women: 5.9). Non-Hispanic (NH) Black or African American individuals had the highest overall age-adjusted mortality rate (13.9), followed by non-Hispanic American Indian or Alaskan Native (13.7), Hispanic or Latino (10.3), non-Hispanic Asian or Pacific Islander (6.1), and non-Hispanic White (6.0). Age-adjusted mortality rate also varied by region (overall age-adjusted mortality rate: West:7.5; Midwest: 7.1; South: 6.8; Northeast: 5.8), and non metropolitan areas had higher overall age-adjusted mortality rate (7.5) than small/medium (7.2) and large metropolitan areas (6.4).

CONCLUSION

After an initial decline, mortality rose across all the demographic groups from 2015 to 2020, revealing notable disparities in gender, race, and region.

Diabetes mellitus as a cause of premature death in small areas of Spain by socioeconomic level from 2016 to 2020: A multiple-cause approach

OBJECTIVE

This study aimed to assess premature mortality due to Diabetes in small areas of Spain between 2016 and 2020, and its relationship with socioeconomic level and the immediate cause of death. As a secondary objective, we evaluated the effect of the Covid 19 pandemic.

METHODS

This was an ecological study of premature mortality due to Diabetes from 2016 to 2020, with a focus on small areas. All deaths in people under 75 years of age due to Diabetes as the underlying cause were included RESULTS: The final sample comprised 7382 premature deaths in 5967 census tracts. Women living in census tracts with an high level of deprivation(RR=2.40) were at a significantly higher risk. Mortality from Diabetes increased with deprivation, especially people aged 0-54(RR=2.40). People with an immediate cause of death related to a circulatory disease, living in census tracts with an high level of deprivation(RR=3.86) was associated with a significantly greater risk of death with underlying Diabetes. When a disease of the circulatory system was recorded as the immediate cause of death, being 65-74 years (RR=71.01) was associated with a significantly higher risk of premature mortality.

CONCLUSIONS

Living in geographic areas with higher levels of socioeconomic deprivation is associated with a higher risk of premature death from Diabetes in Spain. This relationship has a greater impact on women, people under 54 years, and people at risk of death caused directly by diseases of the circulatory system. Premature mortality due to diabetes saw a modest increase in 2020.

Ischemic heart disease-related mortality in Brazil, 2006 to 2020. A study of multiple causes of death

CONTEXT

Both the aging of the population and the increase in noncommunicable diseases may influence the progression and outcomes culminating in death, changing the evolution of ischemic heart diseases (IHDs) and their associated causes. Using the multiple causes of death method could help understand the magnitude of these relationships and enable better targeting of investments in health.

OBJECTIVES

To evaluate the mortality from IHD in Brazil between 2006 and 2020 using the method of multiple causes and identify differences in the distribution pattern of IHD mortality by sex and geographic region.

METHODS

Based on information extracted from death certificates (DCs) obtained from the database of the Department of Informatics of the Unified Health System (DATASUS), we used the multiple causes method to analyze the causes of death associated with IHD when IHD was defined as the underlying cause of death (UC) and the causes of death listed as the UC when IHD was recorded in any other lines of the DC, from 2006 to 2020, in Brazil. Subsequently, the proportion of these causes of death and differences between sexes and geographic regions were evaluated, with statistical relevance analyzed using the chi-square test, and the dependence between factors illustrated using stacked bar charts and small-world network graphs.

RESULTS

When IHD was listed as the UC of death, the most frequent associated causes of death were, in descending order of frequency, acute myocardial infarction (AMI), arterial hypertension (AH), chronic ischemic heart disease (CHID), heart failure (HF), and diabetes mellitus (DM). When IHD was mentioned in any line of the DC, the most frequent UCs of death were AMI followed by DM, CIHD, chronic obstructive pulmonary disease (COPD), stroke, dyslipidemia, and, in the year 2020, COVID-19. The most frequent cause of death in women were DM as the UC and associated cause of death, AH as the UC, and CIHD and Alzheimer's disease as associated causes of death, while the most frequent causes of death in men were substance dependence as the UC and associated cause of death, and cancer as an associated cause of death. The most frequent causes of death were DM and stroke in the North and Northeast, dyslipidemia and obesity in the Midwest, Alzheimer's disease in the South and Southeast, and atherosclerotic heart disease (AHD) and COPD in the South.

CONCLUSIONS

Several diseases - including AMI, AH, CIHD, HF, and DM - were the most frequent associated causes of death when IHD was recorded as the UC. In contrast, AMI, DM, CIHD, COPD, and stroke were the most frequent UCs when IHD was listed as an associated cause of death. The degree of these associations varied between sexes and geographic regions.

A SYSTEMATIC REVIEW OF RETROSPECTIVE MORBIDITY AND MORTALITY STUDIES ON CAPTIVE WILDLIFE SPECIES

Zoological institutions manage animals for conservation, education, entertainment, and research purposes. Zoological staff have a responsibility to safeguard the welfare of animals in their care. Retrospective morbidity and/or mortality studies (MMSs) can be useful tools to highlight common diseases in captive wildlife populations. There is currently no standardized methodology for conducting MMSs. Variation in the methodology of MMSs, particularly the categorization of diseases, can make comparisons between studies challenging and may limit the applicability of the results. A Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) compliant systematic review was performed, which identified 67 MMSs describing 146 species of captive wildlife. These MMSs are becoming more common and were predominantly performed on mammals (76/146). Prospective authors are encouraged to perform MMSs on amphibians, birds, reptiles, fish, and invertebrates. The studied animals were mostly managed at institutions in the United States of America (28/67, 41.2%) and Europe (14/67, 20.9%). Classifying individuals into age groups facilitates the identification of disease trends within age classes. Only 22/67 (32.8%) studies cited justification for their age classification; classifications should be based on a referenced source on the breeding biology of the studied species. There is variation in the body systems used by authors and into which system a disease is categorized, which makes study comparisons challenging. Diseases were predominantly categorized by etiology and body system (28/77, 36.4%). Because of its ubiquity, the use of the categorization system employed by the pathology module of the Zoological Information Management System is recommended as a useful standard. This system is imperfect, and amendments to it are suggested. The results and recommendations of this study were discussed with a panel of zoo and wildlife experts; guidelines have been formulated for prospective authors aiming to conduct MMSs in captive wildlife.

Systemic Review of Clot Retraction Modulators

Through a process termed clot retraction, platelets cause thrombi to shrink and become more stable. After platelets are activated via inside-out signaling, glycoprotein αIIbβIII binds to fibrinogen and initiates a cascade of intracellular signaling that ends in actin remodeling, which causes the platelet to change its shape. Clot retraction is also important for wound healing. Although the detailed molecular biology of clot retraction is only partially understood, various substances and physiological conditions modulate clot retraction. In this review, we describe some of the current literature pertaining to clot retraction modulators. In addition, we discuss compounds from Cudrania trucuspidata, Arctium lappa, and Panax ginseng that diminish clot retraction and have numerous other health benefits. Caffeic acid and diindolylmethane, both common in plants and vegetables, likewise reduce clot retraction, as do all-trans retinoic acid (a vitamin A derivative), two MAP4K inhibitors, and the chemotherapeutic drug Dasatinib. Conversely, the endogenous anticoagulant Protein S (PS) and the matricellular protein secreted modular calcium-binding protein 1 (SMOC1) both enhance clot retraction. Most studies aiming to identify mechanisms of clot retraction modulators have focused on the increased phosphorylation of vasodilator-stimulated phosphoprotein and inositol 1,4,5-triphosphate receptor I and the decreased phosphorylation of various phospholipases (e.g., phospholipase A2 (PLA2) and phosphatidylinositol-specific phospholipase Cγ2 (PLCγ2), c-Jun N-terminal kinase, and (PI3Ks). One study focused on the decreased phosphorylation of Sarcoma Family Kinases (SFK), and others have focused on increased cAMP levels and the downregulation of inflammatory markers such as thromboxanes, including thromboxane A2 (TXA2) and thromboxane B2 (TXB2); prostaglandin A2 (PGE2); reactive oxygen species (ROS); and cyclooxygenase (COX) enzyme activity. Additionally, pregnancy, fibrinolysis, and the autoimmune condition systemic lupus erythematosus all seem to affect, or at least have some relation with, clot retraction. All the clot retraction modulators need in-depth study to explain these effects.

Analysis of Multiple Causes of Death: A Review of Methods and Practices

BACKGROUND

Research and reporting of mortality indicators typically focus on a single underlying cause of death selected from multiple causes recorded on a death certificate. The need to incorporate the multiple causes in mortality statistics-reflecting increasing multimorbidity and complex causation patterns-is recognized internationally. This review aims to identify and appraise relevant analytical methods and practices related to multiple causes.

METHODS

We searched Medline, PubMed, Scopus, and Web of Science from their incept ion to December 2020 without language restrictions, supplemented by consultation with international experts. Eligible articles analyzed multiple causes of death from death certificates. The process identified 4,080 items of which we reviewed 434 full-text articles.

RESULTS

Most articles we reviewed (76%, n = 332) were published since 2001. The majority of articles examined mortality by "any- mention" of the cause of death (87%, n = 377) and assessed pairwise combinations of causes (57%, n = 245). Since 2001, applications of methods emerged to group deaths based on common cause patterns using, for example, cluster analysis (2%, n = 9), and application of multiple-cause weights to re-evaluate mortality burden (1%, n = 5). We describe multiple-cause methods applied to specific research objectives for approaches emerging recently.

CONCLUSION

This review confirms rapidly increasing international interest in the analysis of multiple causes of death and provides the most comprehensive overview, to our knowledge, of methods and practices to date. Available multiple-cause methods are diverse but suit a range of research objectives. With greater availability of data and technology, these could be further developed and applied across a range of settings.

Inequalities in cancer mortality trends in people with type 2 diabetes: 20 year population-based study in England

AIMS/HYPOTHESIS

The aim of this study was to describe the long-term trends in cancer mortality rates in people with type 2 diabetes based on subgroups defined by sociodemographic characteristics and risk factors.

METHODS

We defined a cohort of individuals aged ≥35 years who had newly diagnosed type 2 diabetes in the Clinical Practice Research Datalink between 1 January 1998 and 30 November 2018. We assessed trends in all-cause, all-cancer and cancer-specific mortality rates by age, gender, ethnicity, socioeconomic status, obesity and smoking status. We used Poisson regression to calculate age- and calendar year-specific mortality rates and Joinpoint regression to assess trends for each outcome. We estimated standardised mortality ratios comparing mortality rates in people with type 2 diabetes with those in the general population.

RESULTS

Among 137,804 individuals, during a median follow-up of 8.4 years, all-cause mortality rates decreased at all ages between 1998 and 2018; cancer mortality rates also decreased for 55- and 65-year-olds but increased for 75- and 85-year-olds, with average annual percentage changes (AAPCs) of -1.4% (95% CI -1.5, -1.3), -0.2% (-0.3, -0.1), 1.2% (0.8, 1.6) and 1.6% (1.5, 1.7), respectively. Higher AAPCs were observed in women than men (1.5% vs 0.5%), in the least deprived than the most deprived (1.5% vs 1.0%) and in people with morbid obesity than those with normal body weight (5.8% vs 0.7%), although all these stratified subgroups showed upward trends in cancer mortality rates. Increasing cancer mortality rates were also observed in people of White ethnicity and former/current smokers, but downward trends were observed in other ethnic groups and non-smokers. These results have led to persistent inequalities by gender and deprivation but widening disparities by smoking status. Constant upward trends in mortality rates were also observed for pancreatic, liver and lung cancer at all ages, colorectal cancer at most ages, breast cancer at younger ages, and prostate and endometrial cancer at older ages. Compared with the general population, people with type 2 diabetes had a more than 1.5-fold increased risk of colorectal, pancreatic, liver and endometrial cancer mortality during the whole study period.

CONCLUSIONS/INTERPRETATION

In contrast to the declines in all-cause mortality rates at all ages, the cancer burden has increased in older people with type 2 diabetes, especially for colorectal, pancreatic, liver and endometrial cancer. Tailored cancer prevention and early detection strategies are needed to address persistent inequalities in the older population, the most deprived and smokers.

Associations between depression and diabetes among Latinx patients from low-income households in New Mexico

Depression and diabetes are co-occurring epidemics. This article explores the association between depression and diabetes in a cohort of Latinx patients with diabetes from low-income households. Data were gathered in Albuquerque, New Mexico (U.S.) between 2016 and 2020 as part of a patient-engaged comparative effectiveness trial comparing two culturally appropriate diabetes self-management programs-the Chronic Care Model (CCM) and the standard of care, Diabetes Self-Management Support Empowerment Model (DSMS). We proposed that the program most culturally and contextually situated in the life of the patient would have the greatest impact on diabetes self-management. Participants were enrolled as dyads-226 Latinx diabetes patient participants (PPs) from low-income households and 226 social support participants (SSPs). Data gathered at baseline, 3, 6, and 12 months included a measure of depression and A1c testing. Outcomes between programs were analyzed using longitudinal linear mixed modeling, adjusted for patient demographic characteristics and other potential confounding covariates. Patient A1c had an initial slight decrease at 3 months in both programs. At CCM, patients with a very high A1c (greater than 10%) demonstrated a clinically meaningful decrease in A1c over time. Patients at CCM experienced a large initial decrease in depression and continued to decrease throughout the study, while patients at DSMS showed a slight initial decrease through 6 months, but depression increased again by 12 months, nearly rebounding to baseline levels. A subgroup analysis revealed that a higher baseline A1c was associated with higher depression, and patients with higher A1c achieved greater reductions in depression at CCM than at DSMS. CCM scored higher on Consumer Assessment of Healthcare Providers and Systems cultural competence (CAHPS-CC). Interpretation of results suggests that the more culturally, contextually situated program, CCM, had better outcomes. This study demonstrates that culturally and contextually situating a diabetes intervention can deliver improved benefits for Latinx patients.

Assessment of Disparities in Diabetes Mortality in Adults in US Rural vs Nonrural Counties, 1999-2018

IMPORTANCE

US rural vs nonrural populations have striking disparities in diabetes care. Whether rurality contributes to disparities in diabetes mortality is unknown.

OBJECTIVE

To examine rates and trends in diabetes mortality based on county urbanization.

DESIGN, SETTING, AND PARTICIPANTS

In this observational, cross-sectional study, the US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database was searched from January 1, 1999, to December 31, 2018, for diabetes as a multiple cause and the underlying cause of death among residents aged 25 years or older in US counties. County urbanization was categorized as metro, medium-small, and rural. Weighted multiple linear regression models and jackknife resampling, with a 3-segment time component, were used. The models included exposures with up to 3-way interactions and were age standardized to the 2009-2010 population. The analyses were conducted from July 1, 2020, to February 1, 2022.

EXPOSURES

County urbanization (metro, medium-small, or rural), gender (men or women), age group (25-54, 55-74, or ≥75 years), and region (Midwest, Northeast, South, or West).

MAIN OUTCOMES AND MEASURES

Annual diabetes mortality rate per 100 000 people.

RESULTS

From 1999-2018, based on 4 022 238 309 person-years, diabetes was a multiple cause of death for 4 735 849 adults aged 25 years or older. As a multiple cause, diabetes mortality rates in 2017-2018 vs 1999-2000 were highest and unchanged in rural counties (157.2 [95% CI, 150.7-163.7] vs 154.1 [95% CI, 148.2-160.1]; P = .49) but lower in medium-small counties (123.6 [95% CI, 119.6-127.6] vs 133.6 [95% CI, 128.4-138.8]; P = .003) and urban counties (92.9 [95% CI, 90.5-95.3] vs 109.7 [95% CI, 105.2-114.1]; P < .001). In 2017-2018 vs 1999-2000, mortality rates were higher in rural men (+18.2; 95% CI, 14.3-22.1) but lower in rural women (-14.0; 95% CI, -17.7 to -10.3) (P < .001 for both). In the 25- to 54-year age group, mortality rates in 2017-2018 vs 1999-2000 showed a greater increase in rural counties (+9.4; 95% CI, 8.6-10.2) compared with medium-small counties (+4.5; 95% CI, 4.0-5.0) and metro counties (+0.9; 95% CI, 0.4-1.4) (P < .001 for all). Of all regions and urbanization levels, the mortality rate in 2017-2018 vs 1999-2000 was higher only in the rural South (+13.8; 95% CI, 7.6-20.0; P < .001).

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, US rural counties had the highest overall diabetes mortality rate. The determinants of persistent rural disparities, in particular for rural men and for adults in the rural South, require investigation.

Quantifying cause-related mortality in Australia, incorporating multiple causes: observed patterns, trends and practical considerations

BACKGROUND

Mortality statistics using a single underlying cause of death (UC) are key health indicators. Rising multimorbidity and chronic disease mean that deaths increasingly involve multiple conditions. However, additional causes reported on death certificates are rarely integrated into mortality indicators, partly due to complexities in data and methods. This study aimed to assess trends and patterns in cause-related mortality in Australia, integrating multiple causes (MC) of death.

METHODS

Deaths (n = 1 773 399) in Australia (2006-17) were mapped to 136 ICD-10-based groups and MC indicators applied. Age-standardized cause-related rates (deaths/100 000) based on the UC (ASRUC) were compared with rates based on any mention of the cause (ASRAM) using rate ratios (RR = ASRAM/ASRUC) and to rates based on weighting multiple contributing causes (ASRW).

RESULTS

Deaths involved on average 3.4 causes in 2017; the percentage with >4 causes increased from 20.9 (2006) to 24.4 (2017). Ischaemic heart disease (ASRUC = 73.3, ASRAM = 135.8, ASRW = 63.5), dementia (ASRUC = 51.1, ASRAM = 98.1, ASRW = 52.1) and cerebrovascular diseases (ASRUC = 39.9, ASRAM = 76.7, ASRW = 33.5) ranked as leading causes by all methods. Causes with high RR included hypertension (ASRUC = 2.2, RR = 35.5), atrial fibrillation (ASRUC = 8.0, RR = 6.5) and diabetes (ASRUC = 18.5, RR = 3.5); the corresponding ASRW were 12.5, 12.6 and 24.0, respectively. Renal failure, atrial fibrillation and hypertension ranked among the 10 leading causes by ASRAM and ASRW but not by ASRUC. Practical considerations in working with MC data are discussed.

CONCLUSIONS

Despite the similarities in leading causes under the three methods, with integration of MC several preventable diseases emerged as leading causes. MC analyses offer a richer additional perspective for population health monitoring and policy development.

Diabetes as a cause of death across different COVID-19 epidemic waves

AIMS

The aim of this study is to assess the role of diabetes as a cause of death through different epidemic waves of COVID-19.

METHODS

The annual percentage change in age-standardized rates (APC) was estimated for diabetes as the underlying (UCOD) and as multiple causes of death (MCOD) in 2008-2019. Diabetes-related deaths in 2020 were compared to the 2018-2019 average. SARIMA models were applied to monthly excess in mortality considering seasonality and long-term trends.

RESULTS

2018-2019-Age-standardized mortality rates decreased, especially among females (MCOD: APC -2.49, 95%CI -3.01/-1.97%). In 2020, deaths increased by 19% (95%CI 13-25%) for UCOD, and by 27% (95%CI 24-30%) for MCOD. Diabetes and COVID-19 accounted for 74% of such excess. During the first epidemic wave, the increase in observed rates vs predicted by the model was larger in males (March +39%, April +46%) than in females (+30% and +32%). In the second wave, a huge excess of similar magnitude was observed in the two sexes; rates in December exceeded those predicted by more than 100%.

CONCLUSIONS

The COVID-19 pandemic abruptly interrupted a long-term declining trend in mortality associated to diabetes. MCOD analyses are warranted to fully estimate the impact of epidemic waves on diabetes-related mortality.

Fractures in type 2 diabetes confer excess mortality: The Dubbo osteoporosis epidemiology study

PURPOSE

Diabetes and fractures are both associated with increased mortality, however the effect of the combination is not well-established. We examined the mortality risk following all types of fractures in type 2 diabetes (T2D).

METHODS

In the Dubbo Osteoporosis Epidemiology Study (1989-2017), participants were grouped according to T2D and/or incident fracture. Study outcome was all-cause mortality. First incident radiological fragility fracture and incident T2D diagnosis were time-dependent variables. Cox's proportional hazards models quantified mortality risk associated with T2D and incident fracture overall, as well as by fracture site, T2D duration and T2D medication type.

RESULTS

In 3618 participants (62% women), 272 had baseline and 179 developed T2D over median 13.0 years (IQR 8.2-19.6). 796 women (56 with T2D) and 240 men (25 with T2D) sustained a fracture. Compared to those without T2D or fracture, mortality risk increased progressively, in T2D without fracture, then no T2D with fracture, and was highest in those with T2D with fracture (adjusted hazard ratio (aHR) (95% CI) for women 2.62 (1.75-3.93) and men 2.61 (1.42-4.81)). Within T2D participants, incident fracture was associated with increased mortality (aHR for women 1.87 (1.10-3.16) and men 2.83 (1.41-5.68)), especially following hip/vertebral fractures in men (aHR 2.97 (1.29-6.83)) and non-hip non-vertebral fractures in women (aHR 2.42 (1.24-4.75)), and in T2D duration >5 years.

CONCLUSION

Any fracture in T2D conferred significant excess mortality. Individuals with T2D should be carefully monitored post-fracture, especially if T2D >5 years. Optimising fracture prevention and post-fracture management in T2D is critical and warrants further studies.

Prevalence of cardiovascular disease risk factors in Chinese patients with type 2 diabetes mellitus, 2013-2018

OBJECTIVE

Coronary heart disease (CHD) is the most common cause of death in patients with type 2 diabetes (T2DM). We aim to estimate the prevalence of CHD and cardiovascular risk factors in Chinese patients with T2DM.

METHODS

A total of 66,536 inpatients with diabetes treated from 2013 to 2018 were investigated, and demographic and clinical data were collected from 30,693 patients with T2DM. Age-standardized prevalence of CHD was calculated on the basis of data from the Chinese population census in 2010. Logistic regression analysis was used to analyze the risk factors.

RESULTS

The crude prevalence of CHD was estimated to be 23.5% and a standardized prevalence was 13.9% (16.0% in men and 11.9% in women). More than half of patients with CHD have four or more of the five traditional risk factors, much higher than the 38.96% of patients without CHD (p < .01). Multivariate regression analysis showed that diabetes duration, hypertension, smoking, underweight, overweight, obesity and hypoglycaemia were significantly associated with increased risk of CHD (all p < .05). The odds ratio of CHD in patients with three, four or five defined CHD risk factors (i.e. diabetes, hypertension, dyslipidaemia, overweight or obese, and smoking) were 2.35 (95% CI 1.81-3.04), 2.96 (95% CI 2.28-3.85) or 5.29 (95% CI 4.04-6.93), compared with diabetes patients without any other risk factors.

CONCLUSIONS

The prevalence of CHD was rather high in Chinese T2DM inpatients, and the aggregation of CHD risk factors was severe. Thus, hierarchical CHD prevention strategies based on risk factors are necessary.

Time series of diabetes attributable mortality from 2008 to 2017

PURPOSE

Diabetes is a growing health problem. The aim of this study was to capture time trends in mortality associated with diabetes.

METHODS

The mortality database of the Veneto region (Italy) includes both the underlying causes of death, and all the diseases mentioned in the death certificate. The annual percent change (APC) in age-standardized rates from 2008 to 2017 was computed by the Joinpoint Regression Program.

RESULTS

Overall 453,972 deaths (56,074 with mention of diabetes) were observed among subjects aged ≥ 40 years. Mortality rates declined for diabetes as the underlying cause of death and from diabetes-related circulatory diseases. The latter declined especially in females - 4.4 (CI 95% - 5.3/- 3.4), while in males the APC was - 2.8 (CI 95% - 4.0/- 1.6).

CONCLUSION

We observed a significant reduction in mortality during the period 2008-2017 in diabetes either as underlying cause of death or when all mentions of diabetes in the death certificate were considered.

Diabetes Complications in Racial and Ethnic Minority Populations in the USA

PURPOSE OF REVIEW

Racial and ethnic minority populations have a higher burden of diabetes-related complications. There have been many epidemiologic studies to better define these racial/ethnic disparities in diabetes outcomes with additional studies offering interventions to mitigate them. This narrative review highlights the epidemiologic trends in diabetes complications specific to racial and ethnic minorities and underscores differences in microvascular and macrovascular complications of diabetes, health care utilization, and diabetes prevention efforts and also reviews interventions aimed to reduce racial/ethnic disparities and their limitations.

RECENT FINDINGS

While we have seen in general an overall improvement in complication rates for all people with diabetes, the disparities between Black and Hispanic compared to non-Hispanic White people with diabetes seem to persist. There is a continued need to better understand the underlying causes of and strategies to mitigate race/ethnicity disparities in diabetes complications in the USA.

Linking death registration and survey data: Procedures and cohort profile for The Irish Longitudinal Study on Ageing (TILDA)

Background: Research on mortality at the population level has been severely restricted by an absence of linked death registration and survey data in Ireland. We describe the steps taken to link death registration information with survey data from a nationally representative prospective study of community-dwelling older adults. We also provide a profile of decedents among this cohort and compare mortality rates to population-level mortality data. Finally, we compare the utility of analysing underlying versus contributory causes of death. Methods: Death records were obtained for 779 and linked to individual level survey data from The Irish Longitudinal Study on Ageing (TILDA).   Results: Overall, 9.1% of participants died during the nine-year follow-up period and the average age at death was 75.3 years. Neoplasms were identified as the underlying cause of death for 37.0%; 32.9% of deaths were attributable to diseases of the circulatory system; 14.4% due to diseases of the respiratory system; while the remaining 15.8% of deaths occurred due to all other causes. Mortality rates among younger TILDA participants closely aligned with those observed in the population but TILDA mortality rates were slightly lower in the older age groups. Contributory cause of death provides similar estimates as underlying cause when we examined the association between smoking and all-cause and cause-specific mortality. Conclusions: This new data infrastructure provides many opportunities to contribute to our understanding of the social, behavioural, economic, and health antecedents to mortality and to inform public policies aimed at addressing inequalities in mortality and end-of-life care.

Managing the multifaceted nature of type 2 diabetes using once-weekly injectable GLP-1 receptor agonist therapy

WHAT IS KNOWN AND OBJECTIVE

As a highly prevalent chronic condition associated with complications and high mortality rates, it is important for pharmacists to have a comprehensive understanding of the impact of type 2 diabetes (T2D) and available treatment options. The use of injectable glucagon-like peptide 1 receptor agonists (GLP-1 RAs) is recommended as an effective and convenient treatment regimen for improving glycaemic control in individuals with T2D, with a good safety profile; however, the wider extent of its potential benefits often are unknown to clinical pharmacists. The objective of this article is to provide an overview of the impact of T2D on individuals and to discuss the multifaceted role of once-weekly (QW) GLP-1 RAs in addressing these challenges.

METHODS

This is a narrative review of the published literature regarding the use of injectable GLP-1 RAs in managing health complications in people with T2D.

RESULTS AND DISCUSSION

Recent findings reveal additional benefits of GLP-1 RAs in managing T2D complications, including atherosclerotic cardiovascular (CV) disease, retinopathy, neuropathy, and nephropathy. Dulaglutide and semaglutide have been shown to provide additional CV benefit in patients at high risk of CV events compared with standard of care/placebo and may offer renal protection in patients with chronic kidney disease. Cost-effectiveness studies, taking into consideration these different complications, have shown that QW GLP-1 RAs were cost-effective compared with other therapies. GLP-1 RAs may also help to improve overall health-related quality of life, reducing the risk of depression and 'diabetes distress', and limiting the risk of hypoglycaemia.

WHAT IS NEW AND CONCLUSION

From the literature, this appears to be the first review of the evidence supporting the multifaceted role of QW GLP-1 RAs in T2D, with particular emphasis on their use in comorbid conditions, as well as associated potential financial and well-being benefits. The results suggest that QW GLP-1 RAs may be an attractive treatment option for improving glycaemic control in T2D, especially in individuals with (or at risk of) additional comorbidities or health complications.

Linking death registration and survey data: Procedures and cohort profile for The Irish Longitudinal Study on Ageing

Background: Research on mortality at the population level has been severely restricted by an absence of linked death registration and survey data in Ireland. We describe the steps taken to link death registration information with survey data from a nationally representative prospective study of community-dwelling older adults. We also provide a profile of decedents among this cohort and compare mortality rates to population-level mortality data. Finally, we compare the utility of analysing underlying versus contributory causes of death. Methods: Death records were obtained for 779 (90.3% of all confirmed deaths at that time) and linked to individual level survey data from The Irish Longitudinal Study on Ageing (TILDA).   Results: Overall, 9.1% of participants died during the nine-year follow-up period and the average age at death was 75.3 years. Neoplasms were identified as the underlying cause of death for 37.0%; 32.9% of deaths were attributable to diseases of the circulatory system; 14.4% due to diseases of the respiratory system; while the remaining 15.8% of deaths occurred due to all other causes. Mortality rates among younger TILDA participants closely aligned with those observed in the population but TILDA mortality rates were slightly lower in the older age groups. Contributory cause of death provides similar estimates as underlying cause when we examined the association between smoking and all-cause and cause-specific mortality. Conclusions: This new data infrastructure provides many opportunities to contribute to our understanding of the social, behavioural, economic, and health antecedents to mortality and to inform public policies aimed at addressing inequalities in mortality and end-of-life care.

Prevalence of diabetes mellitus at the end of life: An investigation using individually linked cause-of-death and medical register data

AIMS

Although diabetes mellitus at the end of life is associated with complex care, its end-of-life prevalence is uncertain. Our aim is to estimate diabetes prevalence in the end-of-life population, to evaluate which medical register has the largest added value to cause-of-death data in detecting diabetes cases, and to assess the extent to which reporting of diabetes as a cause of death is associated with disease severity.

METHODS

Our study population consisted of deaths in the Netherlands (2015-2016) included in Nivel Primary Care Database (Nivel-PCD; N = 18,162). The proportion of deaths with diabetes (Type 1 or 2) within the last two years of life was calculated using individually linked cause-of-death, general practice, medication, and hospital discharge data. Severity status of diabetes was defined with dispensed medicines.

RESULTS

According to all data sources combined, 28.7% of the study population had diabetes at the end of life. The estimated end-of-life prevalence of diabetes was 7.7% using multiple cause-of-death data only. Addition of general practice data increased this estimate the most (19.7%-points). Of the cases added by primary care data, 76.3% had a severe or intermediate status.

CONCLUSIONS

More than one fourth of the Dutch end-of-life population has diabetes. Cause-of-death data are insufficient to monitor this prevalence, even of severe cases of diabetes, but could be enriched particularly with general practice data.

Decreased Insulin Secretion but Unchanged Glucose Homeostasis in Cadmium-Exposed Male C57BL/6 Mice

Cadmium (Cd) is a well-known toxic metal element that is largely distributed in the environment. Cd causes toxicity to most organs. Accumulating evidence suggests that Cd exposure is associated with islet dysfunction and development of diabetes, but the association remains controversial. The aim of this study is to evaluate the possible effects of chronic Cd exposure on glucose metabolism in male C57BL/6 mice. Mice were intraperitoneally injected with CdCl₂ solution (1 mg.kg⁻¹) twice a week for 24 weeks. Fasting blood glucose (FBG) levels and body weights were measured weekly. After 24 weeks, the intraperitoneal glucose tolerance test (IPGTT), intraperitoneal insulin tolerance test (IPITT), and fasting serum insulin (FSI) level test were performed. The insulin resistance index (HOMA-IR) and pancreatic β cell function index (HOMA-β) were calculated and analyzed. The expression of insulin receptor (IR) in mouse liver was detected by real-time PCR. Pancreatic tissue was collected for histological examination. The results demonstrated that FBG, IPGTT, HOMA-IR, and HOMA-β were identical between Cd exposure and control mice. In contract, mean fasting serum insulin level, area under the curve (AUC) of IPITT, and IR expression in livers of Cd-exposed mice decreased significantly compared with control mice. Cd administration induced islet atrophy and decreased islet area. The results suggested that Cd exposure decreased insulin secretion and maintained glucose homeostasis in male C57BL/6 mice and that pancreatic functions should be monitored in populations chronically exposed to Cd.