Trends in Psychotropic Drug-Implicated Cardiovascular Mortality: Patterns in U.S. Mortality, 1999-2020

Temporal Trends in Substance Use and Cardiovascular Disease-Related Mortality in the United States

BACKGROUND

There are limited data on substance use (SU) and cardiovascular disease (CVD)-related mortality trends in the United States. We aimed to evaluate SU+CVD-related deaths in the United States using the Centers for Disease Control and Prevention Wide-Ranging, Online Data for Epidemiologic Research database.

METHODS AND RESULTS

The Multiple Cause-of-Death Public Use record death certificates were used to identify deaths related to both SU and CVD. Crude, age-adjusted mortality rates, annual percent change, and average annual percent changes with a 95% CI were analyzed. Between 1999 and 2019, there were 636 572 SU+CVD-related deaths (75.6% men, 70.6% non-Hispanic White individuals, 65% related to alcohol). Age-adjusted mortality rates per 100 000 population were pronounced in men (22.5 [95% CI, 22.6-22.6]), American Indian or Alaska Native individuals (37.7 [95% CI, 37.0-38.4]), nonmetropolitan/rural areas (15.2 [95% CI, 15.1-15.3]), and alcohol-related death (9.09 [95% CI, 9.07 to 9.12]). The overall SU+CVD-related age-adjusted mortality rates increased from 9.9 (95% CI, 9.8-10.1) in 1999 to 21.4 (95% CI, 21.2-21.6) in 2019 with an average annual percent change of 4.0 (95% CI, 3.7-4.3). Increases in SU+CVD-related average annual percent change were noted across all subgroups and were pronounced among women (4.8% [95% CI, 4.5-5.1]), American Indian or Alaska Native individuals, younger individuals, nonmetropolitan areas, and cannabis and psychostimulant users.

CONCLUSIONS

There was a prominent increase in SU+CVD-related mortality in the United States between 1999 and 2019. Women, non-Hispanic American Indian or Alaska Native individuals, younger individuals, nonmetropolitan area residents, and users of cannabis and psychostimulants had pronounced increases in SU+CVD mortality.

Epidemiological Trends and Factors Associated With Mortality Rate in Psychoactive Substance Use-Related Mental and Behavioral Disorders: A CDC-WONDER Database Analysis

Background The persisting challenge of substance use disorder's impact on society prompts the need for insights into its mortality trends. This study examines epidemiological patterns and factors tied to mortality rates in individuals with psychoactive substance-related mental and behavioral disorders from 1999 to 2020. Methodology This study used a retrospective observational design. The study analyzed the Centers for Disease Control and Prevention's (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database information, encompassing mortality and population-based data. Data extraction focused on specific criteria such as age, sex, race/ethnicity, and geographic location. Descriptive statistics were employed to depict the study population and reveal epidemiological trends. Results The study encompassed data from 239,573 individuals who died due to psychoactive substance use-related mental and behavioral disorders between 1999 and 2020. The overall mortality rate was 3.55 per 100,000 individuals (95% confidence interval (CI) = 3.55-3.54) across the study period. Noticeable discrepancies in mortality rates emerged among various geographic regions, genders, races, and age groups. Males (5.32 per 100,000 individuals) experienced notably higher mortality rates than females (1.80 per 100,000 individuals), while the 55-64 age group faced elevated mortality risks (8.24 per 100,000 individuals) compared to the 25-34 age group (1.71 per 100,000 individuals). Significant variations in mortality rates were also evident across different racial and ethnic groups. Conclusions Between 1999 and 2020, the study explored mortality rates in individuals with psychoactive substance use-related mental and behavioral disorders. This analysis revealed variations in mortality across genders, ages (with the 55-64 age group facing higher risks compared to the 25-34 age group), and ethnicities. Notably, males exhibited higher mortality than females. Additionally, divergent rates were observed among different geographic regions. These insights can inform public health initiatives and support the development of targeted strategies to reduce mortality rates and improve the well-being of affected individuals.