Multiple causes of death analysis of chronic diseases: the example of diabetes

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.

Multicausal analysis of mortality due to diabetes mellitus in Spain, 2016-2018

OBJECTIVES

This study aimed to assess multicausal mortality due to diabetes from 2016-2018 in Spain. Specific objectives were to quantify the occurrence of diabetes as an underlying cause or as any registered cause on the death certificate.

MATERIALS AND METHODS

A cross-sectional descriptive study taking a multicausal approach.

RESULTS

Diabetes appears as an underlying cause of 2.3% of total deaths in Spain, and as any cause in 6.2%. In patients in whom Diabetes appears as an underlying cause on the death certificates, the 15 most frequent immediate causes are cardiovascular diseases in men(prevalence ratio 1,59)and women (PR1,31). In men, the causes associated with diabetes as any cause were skin diseases(prevalence ratio 1.33), followed by endocrine diseases(prevalence ratio 1.26)and genitourinary diseases (prevalence ratio1.14). In women, the causes associated with the presence of diabetes as any cause were endocrine (prevalence ratio 1.13)and genitourinary (prevalence ratio 1.04)diseases.

CONCLUSIONS

In patients in whom diabetes appears as an underlying cause on the death certificates, the 15 most frequent immediate causes are cardiovascular diseases. In men, the causes associated with the presence of diabetes as any cause of death are skin, endocrine and genitourinary diseases. In women, the causes associated with diabetes as any cause are endocrine and genitourinary.

Effects of inappropriate cause-of-death certification on mortality from cardiovascular disease and diabetes mellitus in Tonga

BACKGROUND

Cardiovascular disease (CVD) and diabetes mellitus are major health issues in Tonga and other Pacific countries, although mortality levels and trends are unclear. We assess the impacts of cause-of-death certification on coding of CVD and diabetes as underlying causes of death (UCoD).

METHODS

Tongan records containing cause-of-death data (2001-2018), including medical certificates of cause-of-death (MCCD), had UCoD assigned according to International Classification of Diseases 10th revision (ICD-10) coding rules. Deaths without recorded cause were included to ascertain total mortality. Diabetes and hypertension causes were reallocated from Part 1 of the MCCD (direct cause) to Part 2 (contributory cause) if potentially fatal complications were not recorded, and an alternative UCoD was assigned. Proportional mortality by cause based on the alternative UCoD were applied to total deaths then mortality rates calculated by age and sex using census/intercensal population estimates. CVD and diabetes mortality rates for unaltered and alternative UCoD were compared using Poisson regression.

RESULTS

Over 2001-18, in ages 35-59 years, alternative CVD mortality was higher than unaltered CVD mortality in men (p = 0.043) and women (p = 0.15); for 2010-18, alternative versus unaltered measures in men were 3.3/103 (95%CI: 3.0-3.7/103) versus 2.9/103 (95%CI: 2.6-3.2/103), and in women were 1.1/103 (95%CI: 0.9-1.3/103) versus 0.9/103 (95%CI: 0.8-1.1/103). Conversely, alternative diabetes mortality rates were significantly lower than the unaltered rates over 2001-18 in men (p < 0.0001) and women (p = 0.013); for 2010-18, these measures in men were 1.3/103 (95%CI: 1.1-1.5/103) versus 1.9/103 (95%CI: 1.6-2.2/103), and in women were 1.4/103 (95%CI: 1.2-1.7/103) versus 1.7/103 (95%CI: 1.5-2.0/103). Diabetes mortality rates increased significantly over 2001-18 in men (unaltered: p < 0.0001; alternative: p = 0.0007) and increased overall in women (unaltered: p = 0.0015; alternative: p = 0.014).

CONCLUSIONS

Diabetes reporting in Part 1 of the MCCD, without potentially fatal diabetes complications, has led to over-estimation of diabetes, and under-estimation of CVD, as UCoD in Tonga. This indicates the importance of controlling various modifiable risks for atherosclerotic CVD (including stroke) including hypertension, tobacco use, and saturated fat intake, besides obesity and diabetes. Accurate certification of diabetes as a direct cause of death (Part 1) or contributory factor (Part 2) is needed to ensure that valid UCoD are assigned. Examination of multiple cause-of-death data can improve understanding of the underlying causes of premature mortality to better inform health planning.

Cardiovascular mortality in Brazil during the COVID-19 pandemic: a comparison between underlying and multiple causes of death

OBJECTIVES

The COVID-19 pandemic has differentially impacted cardiovascular disease (CVD) mortality worldwide. Causes of death misclassification may be one of the reasons. We evaluated the impact of the pandemic on CVD mortality in Brazil, comparing underlying causes (UCs) and multiple causes (MCs) of death.

STUDY DESIGN

Ecological time-series study.

METHODS

An ecological, time-series study was conducted analysing age-standardised death rates for CVD, from epidemiological week (EW) 10/2020 to 39/2021, using data from the Mortality Information System, Brazil. CVD was defined using the International Classification of Diseases (ICD-10) coding, if reported as UC or MC of death. Observed and expected data (mean for the same EW, 2017-2019) were compared. Risk ratios (RiRs) were analysed, and 95% confidence intervals (CIs) were calculated.

RESULTS

Age-standardised mortality rate for CVD as UC of death was 165.8 (95%CI: 165.4-166.3) per 100,000 inhabitants, similar to what was expected (165.6/100,000, 95%CI: 165.2-166.1, RiR = 1.00). There was increased out-of-hospital mortality (RiR = 1.18; 95%CI: 1.17-1.19) and deaths of ill-defined causes (RiR = 1.43; 95%CI: 1.42-1.44). The increase in out-of-hospital deaths was more pronounced in the North (RiR = 1.33; 95%CI 1.30-1.36) region, with a less resilient health system. Conversely, as MCs of death, there was a 10% increase in CVD mortality (observed: 243.2 [95%CI: 242.7-243.7], expected: 221.6 [95%CI: 221.1-222.1] per 100,000). An increase also occurred in the North and Central West regions (RiR = 1.16; 95%CI: 1.15-1.18), among men (RiR = 1.11; 95%CI: 1.11-1.12) and individuals aged ≥60 years (RiR = 1.11; 95%CI: 1.10-1.11).

CONCLUSIONS

During the pandemic, mortality rates for CVD as MCs of death increased in Brazil, whereas as UC mortality rates did not change. Higher out-of-hospital mortality, misclassification, and competing causes of death may explain this pattern.

Racial/Ethnic disparities in the chains of morbid events leading to death: network analysis of US multiple cause of death data

Multiple-cause-of-death data have not yet been applied to the study of racial/ethnic differences in causal chains of events leading to death, nor they have been used to examine racial/ethnic disparities in cause-of-death certification. We use publicly available 2019 US death certificate data to reassemble chains of morbid events leading to death. From them, we construct and analyze directed multiple cause of death networks by race and sex of deaths aged 60+. Three perspectives to measure disparities are employed: (i) relative prevalence of cause-of-death-pairs, (ii) strength of associations between diseases, (iii) similarities in transition matrices. Non-Hispanic Blacks (NHB) had overall lower prevalence of cause of death pairs, Hispanics (HIS) were burdened more by alcohol-related mortality and Asian and Pacific Islanders (API) exceeded in transitions to cerebrovascular diseases. Lower similarity was observed in transitions to external causes of death, dementia and Alzheimer's disease, pulmonary heart diseases, interstitial respiratory diseases, and diseases of the liver. After excluding rare diseases, the similarity further decreased for ill-defined conditions, diabetes mellitus, other cardiovascular diseases, diseases of the pleura, and anemia. To sum up, races/ethnicities not only vary in structure and timing of death but they differ in morbid processes leading to death as well.

Excess diabetes-related deaths: The role of comorbidities through different phases of the COVID-19 pandemic

BACKGROUND AND AIMS

Diabetes confers an excess risk of death to COVID-19 patients. Causes of death are now available for different phases of the pandemic, encompassing different viral variants and COVID-19 vaccination. The aims of the present study were to update multiple causes of death data on diabetes-related mortality during the pandemic and to estimate the impact of common diabetic comorbidities on excess mortality.

METHODS AND RESULTS

Diabetes-related deaths in 2020-2021 were compared with the 2018-2019 average; furthermore, age-standardized rates observed during the pandemic were compared with expected figures obtained from the 2008-2019 time series through generalized estimating equation models. Changes in diabetes mortality associated with specific comorbidities were also computed. Excess diabetes-related mortality was +26% in 2020 and +18% in 2021, after the initiation of the vaccination campaign. The presence of diabetes and hypertensive diseases was associated with the highest mortality increase, especially in subjects aged 40-79 years, +41% in 2020 and +30% in 2021.

CONCLUSION

The increase in diabetes-related deaths exceeded that observed for all-cause mortality, and the risk was higher when diabetes was associated with hypertensive diseases. Notably, the excess mortality decreased in 2021, after the implementation of vaccination against COVID-19.

Unveiling the Burden of Miscoding and Misclassification in Stroke Mortality: Analysis of Multiple Cause-of-Death Data in Mexico

BACKGROUND

The prevalence of risk factors for cerebrovascular diseases in Mexico is increasing although stroke mortality declined from 1990 to 2010, without meaningful changes afterward. While improving access to adequate prevention and care could explain this trend, miscoding and misclassification in death certificates need to be assessed to unveil the true burden of stroke in Mexico. Practices in death certification along with the presence of multi-morbidity could contribute to this distortion. Analyses of multiple causes of death could reveal ill-defined stroke deaths, providing a glimpse of this bias.

METHODS

Cause-of-death information from 4,262,666 death certificates in Mexico from 2009 to 2015, was examined to determine the extent of miscoding and misclassification on the true burden of stroke. Age-standardized mortality rates per 100,000 inhabitants (ASMR) were calculated for stroke as underlying and multiple causes of death, by sex and state. Deaths were classified following international standards as ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and unspecified, which were kept as an independent category to measure miscoding. To approximate misclassification, we compared ASMR under three misclassification scenarios: (1) current (the status quo); (2) moderate, which includes deaths from selected causes mentioning stroke; and (3) high which includes all deaths mentioning stroke. National and subnational data were analyzed to search for geographical patterns.

RESULTS

The burden of stroke in Mexico is underreported due to miscoding and misclassification. Miscoding is an important issue since almost 60% of all stroke deaths are registered as unspecified. Multiple cause analysis indicates that stroke ASMR could increase 39.9%-52.9% of the current ASMR under moderate and high misclassification scenarios, respectively. Both problems indicate the need to improve death codification procedures and cause-of-death classification.

CONCLUSIONS

Miscoding and misclassification lead to underestimation of the burden of stroke in Mexico. Stroke deaths are underreported when other important causes coexist, being diabetes the most frequent.

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.

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.

Estimating a Set of Mortality Risk Functions with Multiple Contributing Causes of Death

BACKGROUND

There are few methodologic examples of how multiple causes of death may be summarized in cause-specific mortality analyses to address limitations of attributing death to a single underlying cause. We propose a cause-of-death weighting approach to estimate the set of risk functions of specific causes of mortality using both underlying and contributing cause-of-death information.

METHODS

We constructed weights according to a user-specified function. Using data from four southern US human immunodeficiency virus (HIV) clinics, we constructed a cause of death-weighted Aalen-Johansen estimator of the cumulative incidence function to estimate risks of five specific causes of mortality in the full sample and by injection drug use history.

RESULTS

Among 7740 HIV-positive patients initiating antiretroviral therapy between 1999 and 2014, the 8-year risk of all-cause mortality was 17.5% [95% confidence interval (CI) = 16.5, 18.4]. The cause of death-weighted risk of HIV-related mortality was 6.7% (95% CI = 6.0, 7.3) and accounted for 39% (95% CI = 35, 42) of total mortality risk. This compared with 10.2% (95% CI = 9.2, 11.2) using only the underlying cause, in which case HIV-related deaths accounted for nearly 60% of total mortality risk. The proportion attributable to cardiovascular disease among those whose HIV risk factor was injection drug use was twice as high using cause-of-death weights compared with only the underlying cause (8%; 95% CI = 5, 11 vs 4%; 95% CI = 1, 6).

CONCLUSION

Using cause of death-weighted estimators to incorporate multiple causes of death may yield different conclusions regarding the importance of certain causes of mortality. See video abstract: http://links.lww.com/EDE/B706.

Proton pump inhibitors and risk of all-cause and cause-specific mortality: A cohort study

AIM

To investigate the association between proton pump inhibitors (PPIs) and both all-cause and cause-specific mortality.

METHODS

We conducted a cohort study using the UK Clinical Practice Research Datalink GOLD database. We compared 733 885 new users of PPIs to 124 410 new users of H2 receptor antagonists (H2Ras). In a secondary analysis we compared 689 602 PPI new users to 1 361 245 nonusers of acid suppression therapy matched on age, sex and calendar year. Hazard ratios for all-cause and cause-specific mortality were estimated using propensity score (PS) weighted Cox models.

RESULTS

PPI prescription was associated with increased risk of all-cause mortality, with hazard ratios decreasing considerably by increasing adjustment (unadjusted hazard ratio [HR] 1.65, 95% confidence interval [CI] 1.62-1.69; PS-weighted HR 1.38, 95% CI 1.33-1.44; high-dimensional PS-weighted HR 1.31, 95% CI 1.26-1.37). Short-term associations were observed with mortality from causes where a causal short-term association is unexpected (eg, lung cancer mortality: PS-weighted HR at 6 months 1.77, 95% CI 1.39-2.25). Adjusted hazard ratios were substantially higher when compared to nonusers (PS-weighted HR all-cause mortality 1.96, 95% CI 1.94-1.99) rather than H2RA users.

CONCLUSIONS

PPI prescription was strongly associated with all-cause and cause-specific mortality. However, the change in hazard ratios (a) by increasing adjustment and (b) between comparator groups indicates that residual confounding is likely to explain the association between poor health outcomes and PPI use, and fully accounting for this using observational data may not be possible.

Trends in diabetes mortality identified from death certificates in Colombia, 1979-2017

OBJECTIVE

To describe the mortality trends of diabetes mellitus (DM) in Colombia, by sex and age group, from 1979 to 2017.

METHODS

We carried out an ecological study using mortality data from the Colombian National Administrative Department of Statistics. Crude and age-standardized annual mortality rates per 100 000 people were estimated. Trends of standardized rates were described by sex and age groups. Joinpoint regression models were performed to study mortality trends.

RESULTS

Throughout the whole period, the total number of DM recorded deaths in Colombia was 200 650, 58% (116 316) in women (p<0.05). The age-standardized mortality rates (ASMR) by sex increased from 13.2 to 26.6 deaths per 100 000 in women and from 10.1 to 22.7 in men from 1979 to 1999. We observed a decrease from 26.6 to 15.4 per 100 000 in women, and from 22.7 to 15.9 in men for the period 1999-2017. The joinpoint regression analysis showed that the average annual percentage change of the period did not vary in both sexes (men: -0.2%, 95% CI -1.0 to 1.4%; women: 0.7%, 95% CI -0.1 to 1.6%).

CONCLUSIONS

The DM mortality showed a decreasing trend after 2000 in women and 2004 in men. Primary and secondary prevention programs must continue to be strengthened for an earlier diagnosis of diabetes.

Why are epilepsy mortality rates rising in the United States? A population-based multiple cause-of-death study

INTRODUCTION

Epilepsy mortality rates are rising. It is unknown whether rates are rising due to an increase in epilepsy prevalence, changes in epilepsy causes of death, increase in the lethality or epilepsy or failures of treatment. To address these questions, we compare epilepsy mortality rates in the USA with all-cause and all-neurological mortality for the years 1999 to 2017.

OBJECTIVES

To determine changes in US epilepsy mortality rates versus all-cause mortality, and to evaluate changes in the leading causes of death in people with epilepsy.

DESIGN

Retrospective population-based multiple cause-of-death study.

PRIMARY OUTCOME

Change in age-adjusted epilepsy mortality rates compared with mortality rates for all-cause and all-neurological mortality.

SECONDARY OUTCOME

Changes in the leading causes of death in epilepsy.

RESULTS

From 1999 to 2017, epilepsy mortality rates in the USA increased 98.8%, from 5.83 per million in 1999 to 11.59 per million (95% CI 88.2%-110.0%), while all-cause mortality declined 16.4% from 8756.34 per million to 7319.17 per million (95% CI 16.3% to 16.6%). For the same period, all-neurological mortality increased 80.8% from 309.21 to 558.97 per million (95% CI 79.4%-82.1%). The proportion of people with epilepsy who died due to neoplasms, vascular dementia and Alzheimer's increased by 52.3%, 210.1% and 216.8%, respectively. During the same period, the proportion who died due to epilepsy declined 27.1%, while ischaemic heart disease as a cause of death fell 42.6% (p<0.001).

CONCLUSIONS

Epilepsy mortality rates in the USA increased significantly from 1999 to 2017. Likely causes include increases in all-neurological mortality, increased epilepsy prevalence and changes in the underlying causes of death in epilepsy, led by increases in vascular dementia and Alzheimer's. An important finding is that ischaemic heart disease and epilepsy itself are declining as underlying causes of death in people with epilepsy.

Trends in systemic sclerosis and systemic sclerosis-related pulmonary arterial hypertension mortality in the USA

There are limited data nationwide on the burden of systemic sclerosis (SSc)-related mortality. We aimed to determine recent trends in SSc and SSc-related pulmonary arterial hypertension (PAH) mortality overall and across population subgroups.

Using death certificate data from the National Center for Health Statistics, we computed the age-adjusted mortality rates of SSc and SSc-SSc−PAH, a lethal prevailing complication, across demographic groups, geographic regions and comorbid cardiorespiratory conditions, and used Joinpoint regression analysis to calculate the average annual percentage change (APC) in mortality.

From 2003 to 2016, 25 175 death records contained a code for SSc. Decedents were predominantly female (81%) and white (73%), with an average age of 66±14 years. The age-adjusted mortality rate decreased by 3% per year from 6.6 in 2003 to 4.3 per 1 000 000 population in 2016. Also, a decreasing trend was found when SSc was stratified by age, sex, race and geographic region. The prevalence of PAH was 23%. The odds of PAH were highest in female and black decedents, and in decedents with concomitant pulmonary embolism, cardiomyopathy and interstitial lung disease (ILD). SSc−PAH mortality remained stable from 2003 to 2008 then decreased by 3% per year from 2008 to 2016. In decedents with SSc−PAH, among all concomitant comorbidities, the mortality rate associated with ILD had the highest increase (average APC 6%, 95% CI 2%−10%).

The mortality rate from SSc decreased from 2003 to 2016. Decreases in mortality rates were similar across demographic groups and geographic regions. SSc−PAH-related mortality remained stable. The death rate for SSc−ILD and concomitant PAH increased during this period.

While SSc-PAH-related mortality remained stable, SSc-ILD and concomitant PAH mortality increased from 2003 to 2016http://bit.ly/3d9G0pp

Multiple cause of death analysis in multiple sclerosis: A population-based study

OBJECTIVE

To gain a better understanding of the complex patterns of causes that contribute to death due to multiple sclerosis (MS) by assessing the relationship between MS and other causes of death listed on death certificates.

METHODS

Multiple cause of death data for all adult deaths (aged ≥18 years) in British Columbia, Canada, between 1986 and 2013 were accessed. All causes, as listed on the death certificate, whether underlying or contributing, were considered "any mention" causes. The associations between mention of MS on the death certificate and mention of other causes of death were examined by logistic regression, adjusted for age, sex, and calendar year (Bonferroni-corrected α level = 0.002). Findings were also sex-stratified.

RESULTS

Among 771,288 deaths, MS was mentioned on 2,153 certificates. If MS was mentioned (versus not mentioned), there was a greater chance that specific conditions contributed to the death: respiratory infection (adjusted odds ratio [aOR], 3.03 [95% confidence interval (CI), 2.73-3.36]), aspiration pneumonia (aOR, 7.15 [95% CI, 6.23-8.22]), urinary tract infection (UTI) (aOR, 10.2 [95% CI, 8.7-12.0]), other infection including sepsis (aOR, 1.34 [95% CI, 1.15-1.56]), and skin disease (aOR, 5.06 [95% CI, 3.96-6.46]). Sex differences existed for urinary tract infection (men: aOR, 14.9 [95% CI, 11.5-19.3]; women: aOR, 8.00 [95% CI, 6.53-9.81]) and chronic respiratory disease (men = aOR, 1.36 [95% CI, 1.14-1.63]; women = aOR, 0.97 [95% CI, 0.84-1.13]).

CONCLUSIONS

Deaths attributed to MS were commonly caused by infection (especially respiratory and urinary tract-related); conditions associated with advanced disability and immobility, such as aspiration pneumonia; and chronic respiratory disease in men. All are potentially modifiable; interventions that reduce the frequency or severity of these complications could improve survival in MS.

[Development of an electronic death certificate for Germany]

The certification of causes of death by physicians as well as further processing by local health offices, registrar's offices, statistical offices, and other public authorities are conducted in a paper-based way and regulated individually by the laws of the different states of Germany.The concept of a nationally standardized electronic death certificate (eTB), enabling a digitalized processing chain and timely and improved mortality statistic, is presented.Starting with a nationally agreed upon data set, aligned with WHO requirements, an electronic death certificate pilot will be developed and tested in different regions. Synergies resulting from digitalization of the public administration and of the health system will be harnessed.Data collected electronically in the testing phase will be processed with the electronic coding system Iris. Effects on data quality of national mortality statistics will be investigated through multicausal analysis, which will be compared to results from other countries, and through comparisons with data from the existing paper-based process. For the first time, a national multicausal analysis of causes of death will be conceptualized in order to visualize effects of the aging and multimorbid population in national mortality statistics for consideration by healthcare politics and research.Results and lessons learned from the pilot can serve as the basis for national implementation of an electronic death certificate in Germany.

Adult mortality in sub-Saharan Africa: cross-sectional study of causes of death in Zambia

OBJECTIVE

To describe the age-sex pattern and socio-economic differentials in causes of death among adults between the ages of 15 and 59 years in Zambia.

METHODS

Using data from the 2010-2012 Zambia sample vital registration with verbal autopsy survey, we calculated the percentage share of causes of death, the age-/sex cause-specific death ratio and cause-eliminated life expectancy at age 15.

RESULTS

HIV/AIDS was the leading cause of death across all socio-economic subgroups contributing 40.7% of total deaths during the study period. This was followed by deaths due to injury and accidents (11.2%). Cause-specific death ratios due to HIV/AIDS increased by age and peaked in the 35-39 age group and were higher among females than males. The second-leading cause of death was injuries and accidents for males and tuberculosis for females. The third-leading cause of death was cardiovascular diseases for females and tuberculosis for males. Cause of death patterns varied notably by socio-economic characteristics. Deaths attributable to non-communicable diseases were more evident in adults aged 45-59 years. Eliminating HIV/AIDS in Zambia as a cause of death could raise life expectancy at age 15 by 5.7 years for males and by 6.4 years for females.

CONCLUSION

HIV/AIDS-related health programmes and interventions should be further supported and strengthened, as they would significantly contribute to the reduction in adult mortality in Zambia.

Trends in overall, cardiovascular and cancer-related mortality among individuals with diabetes reported on death certificates in the United States between 2007 and 2017

AIMS/HYPOTHESIS

The determination of diabetes as underlying cause of death by using the death certificate may result in inaccurate estimation of national mortality attributed to diabetes, because individuals who die with diabetes generally have other conditions that may contribute to their death. We investigated the trends in age-standardised mortality due to diabetes as underlying or contributing cause of death and cause-specific mortality from cardiovascular disease (CVD), complications of diabetes and cancer among individuals with diabetes listed on death certificates in the USA from 2007 to 2017.

METHODS

Using the US Census and national mortality database, we calculated age-standardised mortality due to diabetes as underlying or contributing cause of death and cause-specific mortality rates among adults over 20 years with diabetes listed on death certificates. A total of 2,686,590 deaths where diabetes was underlying or contributing cause of death were analysed. We determined temporal mortality rate patterns by joinpoint regression analysis with estimates of annual percentage change (APC).

RESULTS

Age-standardised diabetes mortality rates compared among underlying cause of death, contributing cause of death and all-cause mortality were 32.2 vs 75.7 vs 105.1 per 100,000 individuals during the study period. The age-standardised mortality rates due to diabetes as underlying or contributing cause of death declined from 112.2 per 100,000 individuals in 2007 to 104.3 per 100,000 individuals in 2017 with the most pronounced decline noted from 2007 to 2014 (APC -1.4%; 95% CI -1.9%, -1.0%) and stabilisation in decline from 2014 to 2017 (APC 1.1%; 95% CI -0.6%, 2.8%). In terms of cause-specific mortality among individuals with diabetes listed on death certificates, the age-standardised mortality rates for CVD declined at an annual rate of 1.2% with a marked decline of 2.3% between 2007 and 2014. Age-standardised diabetes-specific mortality rates as underlying cause of death decreased from 2007 to 2009 (APC -4.5%) and remained stable from 2009 to 2017. Age-standardised mortality rates for cancer steadily decreased with an average APC of -1.4% (95% CI -1.8%, -1.0%) during the 11-year period. Mortality in the subcategory of CVD demonstrated significant differences.

CONCLUSIONS/INTERPRETATION

Current national estimates capture about 30% of all-cause mortality among individuals with diabetes listed as underlying or contributing cause of death on death certificates. The age-standardised mortality due to diabetes as underlying or contributing cause of death and cause-specific mortality from CVD in individuals with diabetes listed as underlying or contributing cause of death plateaued from 2014 onwards except for hypertensive heart disease and heart failure.

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

AIMS

Deaths attributable to diabetes may be underestimated using an underlying cause of death (COD) approach in U.S. death records. This study sought to characterize the burden of diabetes deaths using a multiple-cause of death approach (underlying and contributing COD) and to identify temporal changes in co-reported causes of death among those with diabetes listed anywhere on their death records.

METHODS

COD were identified using data from the National Center for Health Statistics from 2003 to 2016. We calculated age-adjusted mortality rates for diabetes as the underlying or contributing COD by race/ethnicity. We used ICD-10 codes to identify leading causes of death among those with and without diabetes on their death records. We compared temporal changes in deaths due to cardiovascular disease, cerebrovascular disease, cancer, and other causes.

RESULTS

The study population included 34,313,964 decedents aged ≥25 from 2003 to 2016. Diabetes was listed as an underlying COD in approximately 3.0% (n = 1,031,000) and 6.7% (n = 2,295,510) of the death records, respectively. Decedents with diabetes listed as an underlying COD experienced a 16% decline in mortality, and the race/ethnicity-specific average annual percentage changes (AAPC) showed significant declining trends for most groups (AAPC ranged from 0.18 to -2.83%). Cardiovascular disease remained the leading underlying COD among diabetes-attributable deaths, although its proportion of deaths fell from 31 to 27% over time. Co-reported COD diversified, and were more likely to include hypertension and hypertensive renal disease among those with diabetes on their death records.

CONCLUSIONS

Our findings underscore the importance of using a multiple-cause-of-death approach for more completely characterizing diabetes' contribution to mortality.

Sex differences and risk factors for diabetes mellitus - an international study from 193 countries

Background

Increases in overweight and obesity among youths have resulted in the diagnosis of Type 2 diabetes mellitus (T2DM) at earlier ages. The impact of lifestyle-related factors has been implicated; however, its relation to morbidity and mortality and sex differences remain unclear. We aimed to document the changes in risk factors and sex differences associated with T2DM-related morbidity and mortality during 1995–2015.

Method

We used mortality rates and morbidity estimates from the Global Burden of Diseases Study 2016 using Disability-Adjusted Life Years (DALY). Multiple linear regression analyses were used to determine associations between T2DM-related mortality and related risk factors. DALYs were grouped by country income level, and were stratified by sex.

Results

Increases in mortality were observed for both sexes, and females tended to have higher mortality rates per 100,000 persons. Body mass index (BMI) continued to be the leading risk factor for T2DM-related mortality, and increases in BMI were more common in low- and middle-income countries (LIC and MIC). Low physical activity was strongly associated with mortality rates, followed by dietary risks and smoking (2.4; 1.4; 0.8 per 100,000 persons, respectively). Similar patterns were observed after adjustments for income level, sex, and age. DALYs continued to show increasing trends across all income levels during 1995–2015 (high-income (HIC):16%; MIC: 36%; LIC: 12%). Stratification by sex showed similar results; males had fewer T2DM DALYs than females, though a greater increase was observed among males.

Conclusion

Overall, T2DM related mortality was higher among females. Compared to in HIC, there appeared to be a considerable increase in the burden of T2DM in MIC and LIC, where BMI is the leading risk factor for T2DM-related mortality. Prevention programs should emphasize related risk factors according to the existing standard of care.

Mortality causes and trends associated with giant cell arteritis: analysis of the French national death certificate database (1980-2011)

Objectives

Comprehensive analyses of cause-specific death patterns in GCA are sparse. We studied the patterns and time trends in GCA-related mortality using a large death certificate database.

Methods

We obtained multiple-cause-of-death data from the French national death certificate database for 1980-2011. GCA-associated deaths were defined as decedents ⩾55 years old with GCA listed as an underlying or non-underlying cause of death. Time trends of death rates were analysed and the mean age at death with GCA and in the general population ⩾55 years old were calculated. Standardized mortality odds ratios (SMORs) were calculated for 17 selected causes of death (based on 2000-11 data).

Results

The analyses pertained to approximately 15 000 death certificates listing GCA (including approximately 6300 for 2000-11). Annual standardized death rates for GCA increased to a peak in 1997 and then decreased (Spearman's correlation test, both P < 0.0001). Mean age at death was higher for GCA than for general population decedents (Student's t-test, P < 0.0001). GCA deaths were frequently or strongly associated with aortic aneurysm and dissection (1.85% of death certificates, SMOR: 3.09, 95% CI: 2.48, 3.82), hypertensive disease (20.78%, SMOR: 2.22, 95% CI: 1.97, 2.50), diabetes mellitus (11.27%, SMOR: 1.96, 95% CI: 1.72, 2.23), certain infectious and parasitic diseases (12.12%, SMOR: 1.76, 95% CI: 1.55, 2.00) and ischaemic heart disease (16.54%, SMOR: 1.45, 95% CI: 1.35, 1.64).

Conclusion

GCA is associated with increased risk of dying from large-vessel disease, other cardiovascular diseases and potentially treatment-related co-morbidities. These findings help provide better insights into the outcomes of GCA.

Trends in cause-specific mortality among adults with and without diagnosed diabetes in the USA: an epidemiological analysis of linked national survey and vital statistics data

BACKGROUND

Large reductions in diabetes complications have altered diabetes-related morbidity in the USA. It is unclear whether similar trends have occurred in causes of death.

METHODS

Using data from the National Health Interview Survey Linked Mortality files from 1985 to 2015, we estimated age-specific death rates and proportional mortality from all causes, vascular causes, cancers, and non-vascular, non-cancer causes among US adults by diabetes status.

FINDINGS

From 1988-94, to 2010-15, all-cause death rates declined by 20% every 10 years among US adults with diabetes (from 23·1 [95% CI 20·1-26·0] to 15·2 [14·6-15·8] per 1000 person-years), while death from vascular causes decreased 32% every 10 years (from 11·0 [9·2-12·2] to 5·2 [4·8-5·6] per 1000 person-years), deaths from cancers decreased 16% every 10 years (from 4·4 [3·2-5·5] to 3·0 [2·8-3·3] per 1000 person-years), and the rate of non-vascular, non-cancer deaths declined by 8% every 10 years (from 7·7 [6·3-9·2] to 7·1 [6·6-7·5]). Death rates also declined significantly among people without diagnosed diabetes for all four major mortality categories. However, the declines in death rates were significantly greater among people with diabetes for all-causes (p_interaction<0·0001), vascular causes (p_interaction=0·0214), and non-vascular, non-cancer causes (p_interation<0·0001), as differences in all-cause and vascular disease death between people with and without diabetes were reduced by about a half. Among people with diabetes, all-cause mortality rates declined most in men and adults aged 65-74 years of age, and there was no decline in death rates among adults aged 20-44 years. The different magnitude of changes in cause-specific mortality led to large changes in the proportional mortality. The proportion of total deaths among adults with diabetes from vascular causes declined from 47·8% (95% CI 38·9-58·8) in 1988-94 to 34·1% (31·4-37·1) in 2010-15; this decline was offset by large increases in the proportion of deaths from non-vascular, non-cancer causes, from 33·5% (26·7-42·1) to 46·5% (43·3-50·0). The proportion of deaths caused by cancer was relatively stable over time, ranging from 16% to 20%.

INTERPRETATION

Declining rates of vascular disease mortality are leading to a diversification of forms of diabetes-related mortality with implications for clinical management, prevention, and disease monitoring.

FUNDING

None.

Factors Associated With County-Level Differences in U.S. Drug-Related Mortality Rates

INTRODUCTION

Over the past 2 decades, drug-related deaths have grown to be a major U.S. public health problem. County-level differences in drug-related mortality rates are large. The relative contributions of social determinants of health to this variation, including the economic, social, and healthcare environments, are unknown.

METHODS

Using data from the U.S. Centers for Disease Control and Prevention Multiple-Cause of Death Files (2006-2015, analyzed in 2017); U.S. Census Bureau; U.S. Department of Agriculture Economic Research Service; Agency for Healthcare Research and Quality; and Northeast Regional Center for Rural Development, this paper modeled associations between county-level drug-related mortality rates and economic, social, and healthcare environments. Spatial autoregressive models controlled for state fixed effects and county demographic characteristics.

RESULTS

The average county-level age-adjusted drug-related mortality rate was 16.6 deaths per 100,000 population (2006-2015), but there were substantial geographic disparities in rates. Controlling for county demographic characteristics, average mortality rates were significantly higher in counties with greater economic and family distress and in counties economically dependent on mining. Average mortality rates were significantly lower in counties with a larger presence of religious establishments, a greater percentage of recent in-migrants, and counties with economies reliant on public (government) sector employment. Healthcare supply factors did not contribute to between-county disparities in mortality rates.

CONCLUSIONS

Drug-related mortality rates are not randomly distributed across the U.S. Future research should consider the specific pathways through which economic, social, and healthcare environments are associated with drug-related mortality.

Burden of Mortality Attributable to Diagnosed Diabetes: A Nationwide Analysis Based on Claims Data From 65 Million People in Germany

OBJECTIVE

In Germany, as in many other countries, nationwide data on mortality attributable to diagnosed diabetes are not available. This study estimated the absolute number of excess deaths associated with diabetes (all types) and type 2 diabetes in Germany.

RESEARCH DESIGN AND METHODS

A prevalence approach that included nationwide routine data from 64.9 million people insured in the German statutory health insurance system in 2010 was used for the calculation. Because nationwide data on diabetes mortality are lacking in Germany, the mortality rate ratio from the Danish National Diabetes Register was used. The absolute number of excess deaths associated with diabetes was calculated as the number of deaths due to diabetes minus the number of deaths due to diabetes with a mortality that was as high as in the population without diabetes. Furthermore, the mortality population-attributable fraction was calculated.

RESULTS

A total of 174,627 excess deaths were due to diabetes in 2010, including 137,950 due to type 2 diabetes. Overall, 21% of all deaths in Germany were attributable to diabetes and 16% were attributable to type 2 diabetes. Most of the excess deaths (34% each) occurred in the 70- to 89-year-old age-group.

CONCLUSIONS

In this first nationwide calculation of excess deaths related to diabetes in Germany, the results suggest that the official German estimates that rely on information from death certificates are grossly underestimated. Countries without national cohorts or diabetes registries could easily use this method to estimate the number of excess deaths due to diabetes.

Increase in Parkinson's disease-related mortality among males in Northern Italy

BACKGROUND

According to standard mortality statistics based on the underlying cause of death (UCOD), mortality from Parkinson's disease (PD) is increasing in most European countries. However, mortality trends are better investigated taking into account all the diseases reported in the death certificate (multiple causes of death approach, MCOD).

METHODS

All deaths of residents in the Veneto Region (Northern Italy) aged≥45 years with any mention of PD were extracted from 2008 to 2015. The Annual Percent Change (APC) in age-standardized mortality rates was computed both for PD as the UCOD, and by MCOD. The association with common chronic comorbidities and acute complications was investigated by log-binomial regression. The frequency of the mention of PD in death certificates was investigated through linkage with an archive of patients with a previous clinical diagnosis of the disease.

RESULTS

PD was reported in 2.1% of all deaths, rising from 1.9% in 2008 to 2.4% in 2015. Among males, age-standardized rates increased over time both in analyses based on the UCOD (APC +4.1%; Confidence Interval +1.5%,+6.7%), and on MCOD (APC +2.2%; +0.2,+4.2%). Among females time trends were not significant. Mention of PD was associated with that of dementia/Alzheimer and acute infectious diseases. Among known PD patients, the disease was reported only in 60.2% of death certificates.

CONCLUSIONS

Mortality associated to PD is steeply increasing among males in Northern Italy; further investigations on time trends for PD, both through all available electronic health archives and clinical studies, should be set as a priority for epidemiological research.

Accounting for multimorbidity can affect the estimation of the Burden of Disease: a comparison of approaches

Background

Various Burden of Disease (BoD) studies do not account for multimorbidity in their BoD estimates. Ignoring multimorbidity can lead to inaccuracies in BoD estimations, particularly in ageing populations that include large proportions of persons with two or more health conditions. The objective of this study is to improve BoD estimates for the Netherlands by accounting for multimorbidity. For this purpose, we analyzed different methods for 1) estimating the prevalence of multimorbidity and 2) deriving Disability Weights (DWs) for multimorbidity by using existing data on single health conditions.

Methods

We included 25 health conditions from the Dutch Burden of Disease study that have a high rate of prevalence and that make a large contribution to the total number of Years Lived with a Disability (YLD). First, we analyzed four methods for estimating the prevalence of multimorbid conditions (i.e. independent, independent age- and sex-specific, dependent, and dependent sex- and age-specific). Secondly, we analyzed three methods for calculating the Combined Disability Weights (CDWs) associated with multimorbid conditions (i.e. additive, multiplicative and maximum limit). A combination of these two approaches was used to recalculate the number of YLDs, which is a component of the Disability-Adjusted Life Years (DALY).

Results

This study shows that the YLD estimates for 25 health conditions calculated using the multiplicative method for Combined Disability Weights are 5 % lower, and 14 % lower when using the maximum limit method, than when calculated using the additive method. Adjusting for sex- and age-specific dependent co-occurrence of health conditions reduces the number of YLDs by 10 % for the multiplicative method and by 26 % for the maximum limit method. The adjustment is higher for health conditions with a higher prevalence in old age, like heart failure (up to 43 %) and coronary heart diseases (up to 33 %). Health conditions with a high prevalence in middle age, such as anxiety disorders, have a moderate adjustment (up to 13 %).

Conclusions

We conclude that BoD calculations that do not account for multimorbidity can result in an overestimation of the actual BoD. This may affect public health policy strategies that focus on single health conditions if the underlying cost-effectiveness analysis overestimates the intended effects. The methodology used in this study could be further refined to provide greater insight into co-occurrence and the possible consequences of multimorbid conditions in terms of disability for particular combinations of health conditions.