Impact Of body Mass Index on Cardiopulmonary Outcomes of COVID-19 Hospitalizations Complicated by Severe Sepsis

Background

Body Mass Index (BMI) has a significant impact on Coronavirus disease (COVID-19) patient outcomes; however, major adverse cardiac and cerebrovascular outcomes in patients with severe sepsis have been poorly understood. Our study aims to explore and provide insight into its association.

Methods

This is an observational study looking at the impact of BMI on COVID-19-severe sepsis hospitalizations. The primary outcomes are adjusted odds of all-cause in-hospital mortality, respiratory failure, and major adverse cardiac and cerebrovascular events (MACCE), which include acute myocardial infarction, cardiac arrest, and acute ischemic stroke. The secondary outcome was healthcare resource utilization. Coexisting comorbidities and patient features were adjusted with multivariable regression analyses.

Results

Of 51,740 patients with severe COVID-19-sepsis admissions, 11.4% were overweight, 24.8% had Class I obesity (BMI 30-34.9), 19.8% had Class II obesity (BMI 35-39.9), and 43.9% had the categorization of Class III obesity (BMI >40) cohorts with age>18 years. The odds of MACCE in patients with class II obesity and class III obesity (OR 1.09 and 1.54; 95CI 0.93-1.29 and 1.33-1.79) were significantly higher than in overweight (p < 0.001). Class I, Class II, and Class III patients with obesity revealed lower odds of respiratory failure compared to overweight (OR 0.89, 0.82, and 0.82; 95CI 0.75-1.05, 0.69-0.97, and 0.70-0.97), but failed to achieve statistical significance (p = 0.079). On multivariable regression analysis, all-cause in-hospital mortality revealed significantly higher odds in patients with Class III obesity, Class II, and Class I (OR 1.56, 1.17, and 1.06; 95CI 1.34-1.81, 0.99-1.38, and 0.91-1.24) vs. overweight patients (p < 0.001).

Conclusions

Patients with Class II and Class III obesity had significantly higher odds of MACCE and in-hospital mortality in COVID-19-severe sepsis admissions.

Elevated cardiovascular risk and acute events in hospitalized colon cancer survivors: A decade-apart study of two nationwide cohorts

BACKGROUND

Over the years, strides in colon cancer detection and treatment have boosted survival rates; yet, post-colon cancer survival entails cardiovascular disease (CVD) risks. Research on CVD risks and acute cardiovascular events in colorectal cancer survivors has been limited.

AIM

To compare the CVD risk and adverse cardiovascular outcomes in current colon cancer survivors compared to a decade ago.

METHODS

We analyzed 2007 and 2017 hospitalization data from the National Inpatient Sample, studying two colon cancer survivor groups for CVD risk factors, mortality rates, and major adverse events like pulmonary embolism, arrhythmia, cardiac arrest, and stroke, adjusting for confounders via multivariable regression analysis.

RESULTS

Of total colon cancer survivors hospitalized in 2007 (n = 177542) and 2017 (n = 178325), the 2017 cohort often consisted of younger (76 vs 77 years), male, African-American, and Hispanic patients admitted non-electively vs the 2007 cohort. Furthermore, the 2017 cohort had higher rates of smoking, alcohol abuse, drug abuse, coagulopathy, liver disease, weight loss, and renal failure. Patients in the 2017 cohort also had higher rates of cardiovascular comorbidities, including hypertension, hyperlipidemia, diabetes, obesity, peripheral vascular disease, congestive heart failure, and at least one traditional CVD (P < 0.001) vs the 2007 cohort. On adjusted multivariable analysis, the 2017 cohort had a significantly higher risk of pulmonary embolism (PE) (OR: 1.47, 95%CI: 1.37-1.48), arrhythmia (OR: 1.41, 95%CI: 1.38-1.43), atrial fibrillation/flutter (OR: 1.61, 95%CI: 1.58-1.64), cardiac arrest including ventricular tachyarrhythmia (OR: 1.63, 95%CI: 1.46-1.82), and stroke (OR: 1.28, 95%CI: 1.22-1.34) with comparable all-cause mortality and fewer routine discharges (48.4% vs 55.0%) (P < 0.001) vs the 2007 cohort.

CONCLUSION

Colon cancer survivors hospitalized 10 years apart in the United States showed an increased CVD risk with an increased risk of acute cardiovascular events (stroke 28%, PE 47%, arrhythmia 41%, and cardiac arrest 63%). It is vital to regularly screen colon cancer survivors with concomitant CVD risk factors to curtail long-term cardiovascular complications.

Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic.

METHODS

The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic.

FINDINGS

Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021.

INTERPRETATION

Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades.

FUNDING

Bill & Melinda Gates Foundation.

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.

METHODS

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.

FINDINGS

The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.

INTERPRETATION

Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere.

FUNDING

Bill & Melinda Gates Foundation.

Association between preablation and postablation neutrophil-lymphocyte ratio and atrial fibrillation recurrence: A meta-analysis

Atrial fibrillation (AF) recurrence has become common in patients who have undergone catheter ablation. High neutrophil lymphocyte ratios (NLR) have been linked to an increased risk of recurrent AF. The research is, however, not conclusive. This meta-analysis addressed the value of easily accessible and affordable pre- and postablation NLR levels as indicators of AF recurrence in patients who had undergone ablation. We searched PubMed, SCOPUS, and Google Scholar for pertinent studies through May 2023. Using random effects models, the aggregated odds ratio (OR) of pre- and post-NLR and AF recurrence was estimated. Inter-study heterogeneity was described using I 2 statistics and leave-one-out sensitivity analysis. A p-value < .05 was considered statistically significant. The literature search yielded 270 studies, seven of which were included in this meta-analysis of 1923 patients who experienced AF recurrence after undergoing ablation. There are five retrospective and two prospective studies with a mean follow-up of 20.5 months. The unadjusted odds ratio (OR) of AF recurrence for preablation NLR was 1.33 (95% CI: 1.04-1.71, p < .01, I 2 = 95.49%), while the adjusted OR was 1.45 (95% CI: 0.87-2.43, p < .01, I 2 = 95.1%). The unadjusted odds ratio (OR) for postablation NLR was 1.21 (95% CI: 1.09-1.36, p < .01, I 2 = 85.9%), and the adjusted odds ratio (OR) was 1.28 (95% CI: 0.93-1.76), demonstrating significant heterogeneity (I 2 = 95.32%) with a p-value < .01. NLR was significantly associated with AF recurrence prediction. To detect AF recurrence, we recommend that clinicians add a simple NLR blood test to their diagnostic modalities.

Association between lipoprotein (a) and risk of heart failure: A systematic review and meta-analysis of Mendelian randomization studies

BACKGROUND

Rising incidence of heart failure (HF) in the Western world despite advanced clinical care necessitate exploration of further preventive tools and strategies. Lipoprotein(a) [Lp(a)], recognized as one of the major cardiovascular risk factors has also been implicated as a risk factor for HF. However, existing evidence remains inconclusive and that has led us to perform this meta-analysis.

METHODS

PubMed/Medline, EMBASE and Scopus were systematically searched for studies evaluating an association of Lp(a) with occurrence of HF from inception-till November 2023. Random effects models and I2 statistics were used for pooled odds ratio (OR) and heterogeneity assessment. We performed leave one out sensitivity analyses by sequentially removing one study at a time and recalculating the pooled effect size.

RESULT

Our search rendered in total 360 studies and after final screening this resulted in 7 Mendelian randomization (MR) design. According to the MR analysis, increasing Lp(a) level were significantly associated with increased risk of HF (OR 1.064, 95 % CI: 1.043-1.086, I2= 97.59 %, P < 0.001). In addition, Leave-one-out sensitivity analysis showed that the effect size did not change substantially by removal of any particular study in MR studies and ORs ranged from 1.051 (when excluding Levin) to a maximum of 1.111 (when excluding Wang or Jiang), hereby confirming the association.

CONCLUSION

We were able to show that by meta-analysis of MR data, increasing lipoprotein (a) levels are associated with an increased risk of HF. Whether this is due to a direct effect on heart muscle contraction or whether this is due to an increased risk of ischemic cardiac disease remains to be elucidated.

Is dependent cannabis use in adult hospitalizations with inflammatory bowel disease associated with major adverse cardiovascular and cerebrovascular events? Insights from National Inpatient Sample Analysis

BACKGROUND

Inflammatory bowel disease (IBD) and dependent cannabis use or cannabis use disorder (CUD+) are independent risk factors for cardiovascular diseases. Usage of cannabis for pain increased in IBD patients. However, associated cardiovascular safety remains unclear. This study aims to investigate the major adverse cardiac and cerebrovascular events (MACCE) associated with CUD + in hospitalized IBD patients.

METHODS

We analyzed the National Inpatient Sample 2020 using ICD-10-CM codes; hospitalized IBD patients were identified and divided based on CUD's presence or absence. Multivariable regression models were performed to evaluate MACCE [in-hospital mortality, acute myocardial infarction (AMI), cardiac arrest (CA), and acute ischemic stroke (AIS)] odds after adjusting for baseline demographics, hospital-level characteristics, and relevant cardiac/extra-cardiac morbidities.

RESULTS

Among the 302,770 hospitalized adult IBD patients, 3.1% (9,490) had CUD+. The majority of patients in the CUD + cohort were white (67.7%), male (57.5%), and aged between 18 and 44 years (66.2%). Cardiovascular risk factors like hypertension, diabetes, hyperlipidemia, and prior myocardial infarction were higher in the CUD - cohort (p <0.001) compared to the CUD + cohort. The CUD + cohort had a lower rate of MACCE (3.1% vs. 5.8%), crude in-hospital mortality (0.7% vs. 2.2%), AMI (1.7% vs. 2.6%), CA (0.3% vs. 0.7%), and AIS (0.6% vs. 1.2%) with statistical significance (p <0.001). However, after adjusting for baseline characteristics and comorbidities, the adjusted odds ratios (aORs) did not show a statistically significant difference for MACCE (aOR = 0.9, 95% CI = 0.65-1.25, p = 0.530), CA (aOR = 0.54, 95% CI = 0.2-1.47, p = 0.227), and AIS (aOR = 0.86, 95% CI = 0.43-1.73, p = 0.669).

CONCLUSION

Our study did not find a statistically significant difference in MACCE among hospitalized IBD patients with and without CUD. This emphasizes the need for more extensive prospective studies focusing on the quantity, method, and duration of cannabis use (recreational or medicinal) in patients with IBD.

Key hypertension breakthroughs and emerging trends from the AHA's scientific sessions

We aim to summarize selected late-breaking science on hypertension management strategies and disease presented at the 2023 American Heart Association (AHA) conference. The trials discussed below encompass stricter goals of blood pressure management and were expanded into different population groups from different countries with varied socioeconomic backgrounds and settings, collectively advancing our understanding of hypertension treatment and its impact on public health. We summarized the china rural health care project (CRHCP), a four-year study involving over 34,000 participants in rural China, emphasizing the potential of stricter blood pressure goals in lowering the incidence of all-cause dementia and cognitive impairment. Next, we explore the US-based CARDIA-SSBP study, which highlights the impact of dietary sodium on systolic blood pressure in middle-aged individuals. Through a randomized-order cross-over design, the study provides compelling evidence supporting the effectiveness of sodium reduction as a non-pharmacological approach to blood pressure control. The UK-based POP-HT trial offers critical insights into postpartum women with a history of hypertensive pregnancy. The trial emphasizes the benefits of self-monitoring and physician-optimized antihypertensive titration, showcasing significant blood pressure reductions in the intervention group. Furthermore, the KARDIA-1 study introduces us to Zilebesiran, an innovative RNA interference drug. This phase 2 study highlights its potential for achieving sustained blood pressure reductions and its favorable safety profile, marking a significant step forward in hypertension treatment. Lastly, we expand the practical application of the previously conducted landmark SPRINT trial, which showed cardiovascular benefit with intensive SBP control to less than 120 mm Hg in high-risk non-diabetic patients with hypertension compared with routine BP control to <140 mm Hg. The ESPRIT trial and the IMPACTS trial build upon the SPRINT trial, demonstrating the effects of intensive blood pressure lowering in Asian hypertensive patients and in 36 health care clinics in medically underserved states in the US: Louisiana and Mississippi. The IMPACTS trial and the "Hypertension Treatment in Nigeria Program" demonstrate the effectiveness of implementing comprehensive blood pressure control strategies in real-world settings. These studies highlight the feasibility and scalability of such interventions, especially in low-resource environments, and their potential to significantly improve public health outcomes.

Sex and racial disparities in non-alcoholic fatty liver disease-related cardiovascular events: National inpatient sample analysis (2019)

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) increases cardiovascular disease (CVD) risk irrespective of other risk factors. However, large-scale cardiovascular sex and race differences are poorly understood.

AIM

To investigate the relationship between NAFLD and major cardiovascular and cerebrovascular events (MACCE) in subgroups using a nationally representative United States inpatient sample.

METHODS

We examined National Inpatient Sample (2019) to identify adult hospitalizations with NAFLD by age, sex, and race using ICD-10-CM codes. Clinical and demographic characteristics, comorbidities, and MACCE-related mortality, acute myocardial infarction (AMI), cardiac arrest, and stroke were compared in NAFLD cohorts by sex and race. Multivariable regression analyses were adjusted for sociodemographic characteristics, hospitalization features, and comorbidities.

RESULTS

We examined 409130 hospitalizations [median 55 (IQR 43-66) years] with NFALD. NAFLD was more common in females (1.2%), Hispanics (2%), and Native Americans (1.9%) than whites. Females often reported non-elective admissions, Medicare enrolment, the median age of 55 (IQR 42-67), and poor income. Females had higher obesity and uncomplicated diabetes but lower hypertension, hyperlipidemia, and complicated diabetes than males. Hispanics had a median age of 48 (IQR 37-60), were Medicaid enrollees, and had non-elective admissions. Hispanics had greater diabetes and obesity rates than whites but lower hypertension and hyperlipidemia. MACCE, all-cause mortality, AMI, cardiac arrest, and stroke were all greater in elderly individuals (P < 0.001). MACCE, AMI, and cardiac arrest were more common in men (P < 0.001). Native Americans (aOR 1.64) and Asian Pacific Islanders (aOR 1.18) had higher all-cause death risks than whites.

CONCLUSION

Increasing age and male sex link NAFLD with adverse MACCE outcomes; Native Americans and Asian Pacific Islanders face higher mortality, highlighting a need for tailored interventions and care.

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period.

METHODS

22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.

FINDINGS

Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.

INTERPRETATION

Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic.

FUNDING

Bill & Melinda Gates Foundation.

Impact of obstructive sleep apnoea on cardiovascular outcomes and mortality in young adults with congenital heart anomalies: insights from the national inpatient sample (2019)

BACKGROUND

Obstructive sleep apnoea is a common sleep disorder, and adult congenital heart disease (CHD) is also a significant burden on the population. Early diagnosis and treatment are important for improving quality of life and reducing the risk of health complications. The limited research on obstructive sleep apnoea and adult CHD highlights the need for further investigation into the relationship between these two conditions and the mechanisms underlying this relationship.

METHOD

We used NIS 2019 database to identify adult CHD admissions aged 18-44 years and assess the impact of obstructive sleep apnoea on all-cause mortality, dysrhythmia, and stroke. A propensity-matched cohort of individuals with and without obstructive sleep apnoea was obtained, and the outcomes were assessed using multivariable analysis and compared in terms of resource utilisation.

RESULTS

Of the 41,950 young adult CHD admissions, 6.3% (n = 2630) had obstructive sleep apnoea. The obstructive sleep apnoea+ (n = 2590) and obstructive sleep apnoea- (n = 2590) cohorts were comparable in terms of median age (35 years) and were predominantly male (63.1% versus 62.5%). The obstructive sleep apnoea+ cohort had a higher frequency of risk factors like chronic obstructive pulmonary disease, hypothyroidism, and prior venous thromboembolism than the obstructive sleep apnoea cohort. We found significant association of obstructive sleep apnoea with dysrhythmia (adjusted odds ratio 2.99, 95% confidence interval 2.13-4.19, p < 0.001), but no significant impact on the risk of all-cause mortality or stroke. The obstructive sleep apnoea+ cohort also had higher transfers to short-term facilities, prolonged stays, and higher charges (p < 0.001).

CONCLUSION

Our study provides important insights into relationship between obstructive sleep apnoea and adult CHD and highlights the need for further investigation into the impact of obstructive sleep apnoea on individuals with adult CHD.

Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019

Importance

Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies.

Objective

To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location.

Design, Setting, and Participants

An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020.

Exposures

In this study, no particular exposure was specifically targeted.

Main Outcomes and Measures

The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals.

Results

In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota).

Conclusions and Relevance

In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.

Examining the Role of Cerebral Embolic Protection Devices in Preventing Postoperative Stroke in Patients with a History of Stroke or Transient Ischemic: Insights from the National Inpatient Sample

Cerebral embolic protection devices (CEPD) during transcatheter aortic valve replacement (TAVR) have been shown to lower the risk of stroke during the procedure. However, their long-term and clinical effects on neuro-cognition are unknown. Therefore, we hypothesized the benefit of CEPD in TAVR patients with a prior history of stroke or transient ischemic attack (TIA). National Inpatient Sample (2019) and International Classification of Diseases, 10th Revision codes were used to identify patients undergoing TAVR with prior stroke or TIA. Propensity-matched analysis was performed to adjust for baseline characteristics and comorbidities. Primary outcome measures were postoperative stroke and all-cause mortality. Length of stay and hospital cost were secondary outcomes. Of 8450 unmatched TAVR patients with prior stroke or TIA in 2019, 1095 (13%) utilized CEPD. After propensity matching previous myocardial infarction (MI), coronary artery bypass grafting, and drug abuse were higher in the TAVR-only cohort. Postoperative stroke rate (1.4% vs 2.2%; P = 0.081) and odds [adjusted odds ratio (aOR), 0.48; 95% confidence interval (CI), 0.11-2.17; P = 0.341] were lower in the CEPD group. There was no difference in all-cause in-hospital mortality between the 2 groups (0.9% vs 1.0%). Length of stay (3 vs 2 days, P <0.001) and hospital expenditure ($172,711 vs $162,284; P = 0.002) were higher for the TAVR-only cohort. CEPD in TAVR patients with prior stroke or TIA did not show statistically significant postoperative stroke benefits. However, further larger-scale prospective studies are needed to evaluate the long-term neurocognitive benefits of CEPD in these patients. As the use of TAVR continues to expand, optimizing peri-procedural strategies such as the use of CEPD remains a critical area of research to improve patient outcomes.

Outcomes of cardiac arrest hospitalizations in patients with obesity with versus without prior bariatric surgery status:A nationwide propensity-matched analysis

Introduction

Prior bariatric surgery (PBS) status in obese patients is thought to curtail the risk of cardiovascular events, but its role in change of outcomes of patients with obesity developing new acute cardiac events such as cardiac arrests (CA) remains largely unknown.

Methods

Hospitalizations among adult patients with obesity and CA were identified retrospectively using the National Inpatient Sample (2015 October-2017 December). Propensity-matched analysis (1:1) was performed for sociodemographic/hospital characteristics to identify two cohorts, with (PBS+) or without (PBS-) status. The primary endpoint was in-hospital mortality, and the secondary endpoint was healthcare resource utilization.

Results

Both cohorts (n = 1275 each), had patients with comparable age (mean 58 years), with a higher frequency of white (>70 %), females (>60 %), and Medicare enrollees (>40 %). PBS + cohort had lower rates of diabetes (27.8 % vs 36.1 %), hyperlipidemia (33.7 % vs 48.6 %), renal failure (17.3 % vs 22.0 %), chronic pulmonary disease (11.8 % vs 21.2 %) and higher rates of anemias (18.4 % vs 12.2 %), liver disease (5.1 % vs 2.4 %) and alcohol abuse (6.7 % vs 2.4 %) than PBS- cohort (p < 0.05). All-cause mortality (46.3 % vs 45.1 %, p = 0.551) was comparable between the two cohorts. The PBS + cohort was less often transferred routinely (p<0.001) but had a shorter hospital stay (p<0.001) with equivalent hospital charges compared to the PBS- cohort.

Conclusions

The PBS status (regardless of chronology) did not increase survival in CA admissions among patients with obesity. Preventive measures are necessary to manage enduring cardiovascular disease risk factors that may limit the advantages of surgery for patients with obesity and aggravate the worse outcomes of future cardiac events.

Association of Cannabis Use Disorder with Major Adverse Cardiac and Cerebrovascular Events in Older Non-Tobacco Users: A Population-Based Analysis

BACKGROUND

Tobacco use disorder (TUD) adversely impacts older patients with established cardiovascular disease (CVD) risk. However, CVD risk in chronic habitual cannabis users without the confounding impact of TUD hasn't been explored. We aimed to determine the risk of major adverse cardiac and cerebrovascular events (MACCE) in older non-tobacco smokers with established CVD risk with vs. without cannabis use disorder (CUD).

METHODS

We queried the 2019 National Inpatient Sample for hospitalized non-tobacco smokers with established traditional CVD risk factors aged ≥65 years. Relevant ICD-10 codes were used to identify patients with vs. without CUD. Using multivariable logistic regression, we evaluated the odds of MACCE in CUD cohorts compared to non-CUD cohorts.

RESULTS

Prevalence of CUD in the sample was 0.3% (28,535/10,708,815, median age 69), predominantly male, black, and non-electively admitted from urban teaching hospitals. Of the older patients with CVD risk with CUD, 13.9% reported MACCE. The CUD cohort reported higher odds of MACCE (OR 1.20, 95% CI 1.11-1.29, p < 0.001) compared to the non-CUD cohort. Comorbidities such as hypertension (OR 1.9) and hyperlipidemia (OR 1.3) predicted a higher risk of MACCE in the CUD cohort. The CUD cohort also had higher unadjusted rates of acute myocardial infarction (7.6% vs. 6%) and stroke (5.2% vs. 4.8%).

CONCLUSIONS

Among older non tobacco smokers with known CVD risk, chronic cannabis use had a 20% higher likelihood of MACCE compared to those who did not use cannabis.

Intersection of sepsis, atrial fibrillation, and severe obesity: a population-based analysis in the United States

BACKGROUND

Atrial fibrillation (AF) is an indicator of poor prognosis in patients with sepsis and can increase the risk of stroke and mortality. Data on the impact of severe obesity on the outcomes of sepsis complicated by AF remains poorly understood.

METHODS

National Inpatient Sample (2018) and ICD-10 CM codes were used to identify the principal sepsis admissions with AF. We assessed comorbidities and outcomes of sepsis in people without obesity (BMI < 30) vs. non-severe obesity (BMI 30-35) and severe obesity (BMI > 35) cohorts. We also did a subgroup analysis to further stratify obesity based on metabolic health and analyzed the findings. The primary outcomes were the prevalence and adjusted odds of AF, AF-associated stroke, and all-cause mortality in sepsis by obesity status. Multivariable regression analyses were adjusted for patient- and hospital-level characteristics and comorbidities.

RESULTS

Our main analysis showed that of the 1,345,595 sepsis admissions, the severe obesity cohort was the youngest (median age 59 vs. non-severe 64 and people without obesity 68 years). Patients with obesity, who were often female, were more likely to have hypertension, diabetes, congestive heart failure, chronic pulmonary disease, and chronic kidney disease. The crude prevalence of AF was highest in non-severe obesity (19.9%). The adjusted odds of AF in non-severe obesity (OR 1.21; 95% CI:1.16-1.27) and severe obesity patients with sepsis (OR 1.49; 95% CI:1.43-1.55) were significantly higher than in people without obesity (p < 0.001). Paradoxically, the rates of AF-associated stroke (1%, 1.5%, and 1.7%) and in-hospital mortality (3.3%, 4.9%, and 7.1%) were lowest in the severe obesity cohort vs. the non-severe and people without obesity cohorts, respectively. On multivariable regression analyses, the all-cause mortality revealed lower odds in sepsis-AF patients with severe obesity (OR 0.78; 95% CI:0.67-0.91) or non-severe obesity (OR 0.63; 95% CI:0.54-0.74) vs. people without obesity. There was no significant difference in stroke risk.

CONCLUSIONS

A higher prevalence of cardiovascular comorbidities can be linked to a higher risk of AF in people with obesity and sepsis. Paradoxically, lower rates of stroke and all-cause mortality secondary to AF in people with obesity and sepsis warrant further investigation.

Rising trends in the burden of cardiovascular comorbidities and major adverse cardiovascular events among young female smokers in two national cohorts studied ten years apart (2017 vs. 2007)

BACKGROUND

Ample evidence suggests that female smokers face a greater risk of smoking-related health problems than male smokers. Due to the growing number of young smokers in the United States, there has been limited information on the effects of smoking on young female smokers over the past decade.

METHODS

Hospitalizations of young (18-44 years) female tobacco smokers were identified using the National Inpatient Sample datasets from 2007 and 2017. We compared differences in admission frequency, comorbidity burden, in-hospital outcomes [all-cause mortality and major adverse cardiac events (MACE)], and resource utilization between two young cohorts separated by 10 years.

RESULTS

In 2007, there were 665,901 admissions among young female smokers (median age: 35), compared to 1,224,479 admissions (median age: 32) in 2017. In both cohorts, white female smokers accounted for most admissions, followed by blacks. In 2017, the prevalence of alcohol abuse, hyperlipidemia, uncomplicated diabetes, and chronic pulmonary disease decreased relative to the 2007 cohort, whereas the prevalence of deficiency and chronic blood loss anemias, diabetes with complications, drug abuse, hypertension, congestive heart failure, depression, liver disease, and obesity increased significantly (p<0.001). The 2017 cohort had significantly higher odds of all-cause mortality [aOR 1.25 (95%CI: 1.16-1.35)] and a higher risk of MACE [aOR 1.17 (95%CI:1.14-1.20)] upon multivariable adjustment. (p<0.001). Comparatively, the 2017 cohort had fewer routine discharges and higher home healthcare needs than the 2007 cohort.

CONCLUSIONS

In this decade-apart analysis, the study reveals rising trends in the burden of comorbidities, MACE, and healthcare resource utilization in admissions (regardless of the primary cause) among relatively younger female smokers. It is crucial to educate young female smokers about the detrimental effects of tobacco and polysubstance abuse on cardiovascular outcomes.

Association between prediabetes and breast cancer: a comprehensive meta-analysis

BACKGROUND

Breast cancer accounts for up to 30% of cancer cases in women in the US. Diabetes mellitus has been recognized as a risk factor for breast cancer. Some studies have suggested that prediabetes may also be associated with breast cancer whereas other studies have shown no or an inverse association; thus, we conducted a meta-analysis to assess the risk of breast cancer in prediabetes.

METHODS

We searched PubMed/Medline, EMBASE, Google Scholar, and Scopus to identify studies that reported breast cancer risks in patients having prediabetes compared to normoglycemic patients. Binary random-effects model was used to calculate a pooled odds ratio (OR) with 95% confidence intervals. I2 statistics were used to assess heterogeneity. Leave-one-out sensitivity analysis and subgroup analyses were performed.

RESULTS

We analyzed 7 studies with 24,586 prediabetic and 224,314 normoglycemic individuals (783 and 5739 breast cancer cases, respectively). Unadjusted odds ratio (OR) for breast cancer was 1.45 (95% CI = 1.14, 1.83); adjusted OR was 1.19 (95% CI = 1.07, 1.34) in prediabetes. Subgroup analysis revealed a higher breast cancer risk in individuals aged less than 60 years (OR = 1.86, 95% CI = 1.39, 2.49) than in those aged 60 years or more (OR = 1.07, 95% CI = 0.97, 1.18). Subgroup analysis by median follow-up length indicated a higher risk of breast cancer for follow-ups of less than or equal to 2 years (OR = 2.34, 95% CI = 1.85, 2.95) than in those of over 10 years (OR = 1.1, 95% CI = 0.99, 1.23) and 6 to 10 years (OR = 1.03, 95% CI = 0.88, 1.21).

CONCLUSIONS

In conclusion, individuals with prediabetes have higher risk of developing breast cancer than those with normoglycemia, especially younger prediabetes patients. These individuals may benefit from early identification, monitoring, and interventions to reverse prediabetes.

Association of Prediabetes and Recurrent Stroke in Atrial Fibrillation Patients: A Population-Based Analysis of Hospitalizations and Outcomes

Prediabetes is a risk factor for ischemic stroke in atrial fibrillation (AF) patients, yet, its impact on recurrent stroke in AF patients remains understudied. Using the 2018 National Inpatient Sample, we investigated the link between Prediabetes and recurrent stroke in AF patients with prior stroke or transient ischemic attack (TIA). Among 18,905 non-diabetic AF patients, 480 (2.5%) had prediabetes. The prediabetic group, with a median age of 78, exhibited a two-fold higher risk of recurrent stroke compared to the non-prediabetic cohort (median age 82), as evidenced by both unadjusted (OR 2.14, 95% CI 1.72-2.66) and adjusted (adjusted for socio-demographics/comorbidities, OR 2.09, 95% CI 1.65-2.64, p < 0.001). The prediabetes cohort, comprising more male and Black patients, demonstrated associations with higher Medicaid enrollment, admissions from certain regions, and higher rates of hyperlipidemia, smoking, peripheral vascular disease, obesity, and chronic obstructive pulmonary disease (all p < 0.05). Despite higher rates of home health care and increased hospital costs in the prediabetes group, the adjusted odds of all-cause mortality were not statistically significant (OR 0.55, 95% CI 0.19-1.56, p = 0.260). The findings of this study suggest that clinicians should be vigilant in managing prediabetes in AF patients, and strategies to prevent recurrent stroke in this high-risk population should be considered.

Prediabetes: An overlooked risk factor for major adverse cardiac and cerebrovascular events in atrial fibrillation patients

BACKGROUND

Prediabetes is a well-established risk factor for major adverse cardiac and cerebrovascular events (MACCE). However, the relationship between prediabetes and MACCE in atrial fibrillation (AF) patients has not been extensively studied. Therefore, this study aimed to establish a link between prediabetes and MACCE in AF patients.

AIM

To investigate a link between prediabetes and MACCE in AF patients.

METHODS

We used the National Inpatient Sample (2019) and relevant ICD-10 CM codes to identify hospitalizations with AF and categorized them into groups with and without prediabetes, excluding diabetics. The primary outcome was MACCE (all-cause inpatient mortality, cardiac arrest including ventricular fibrillation, and stroke) in AF-related hospitalizations.

RESULTS

Of the 2965875 AF-related hospitalizations for MACCE, 47505 (1.6%) were among patients with prediabetes. The prediabetes cohort was relatively younger (median 75 vs 78 years), and often consisted of males (56.3% vs 51.4%), blacks (9.8% vs 7.9%), Hispanics (7.3% vs 4.3%), and Asians (4.7% vs 1.6%) than the non-prediabetic cohort (P < 0.001). The prediabetes group had significantly higher rates of hypertension, hyperlipidemia, smoking, obesity, drug abuse, prior myocardial infarction, peripheral vascular disease, and hyperthyroidism (all P < 0.05). The prediabetes cohort was often discharged routinely (51.1% vs 41.1%), but more frequently required home health care (23.6% vs 21.0%) and had higher costs. After adjusting for baseline characteristics or comorbidities, the prediabetes cohort with AF admissions showed a higher rate and significantly higher odds of MACCE compared to the non-prediabetic cohort [18.6% vs 14.7%, odds ratio (OR) 1.34, 95% confidence interval 1.26-1.42, P < 0.001]. On subgroup analyses, males had a stronger association (aOR 1.43) compared to females (aOR 1.22), whereas on the race-wise comparison, Hispanics (aOR 1.43) and Asians (aOR 1.36) had a stronger association with MACCE with prediabetes vs whites (aOR 1.33) and blacks (aOR 1.21).

CONCLUSION

This population-based study found a significant association between prediabetes and MACCE in AF patients. Therefore, there is a need for further research to actively screen and manage prediabetes in AF to prevent MACCE.

Does Statin Use in Frail Patients Provide Survival Benefits? Insights From a Meta-Analysis

Frailty is a complex syndrome that increases with age and predisposes older adults to adverse outcomes, including mortality. Statins are proven to lower the risk of atherosclerotic cardiovascular disease, but there is limited data on their survival benefit in frail older people. This meta-analysis was conducted to determine whether statins can lower mortality in frail persons. A comprehensive search of PubMed, Google Scholar, and SCOPUS was conducted until September 2022 to identify studies reporting mortality outcomes with statin therapy in adults aged 75 with a validated frailty assessment. The pooled odds ratio for all-cause mortality was calculated using a random effects model. Leave-one-out method was used for sensitivity analysis. Of 5 studies (2013-2022) included (Total = 14,324, 3 prospective and 2 retrospectives, Males: 49%, Mean follow-up duration: 4.7 years), 41.6% (5971/14,324) were frail. 52.7% of patients were on a moderate-dose/no-statin, while 47.2% took a high-dose statin. Nonstatin users were older (83.35 vs 81.5) than users. Frail patients often had diabetes, hypertension, hyperlipidemia, a history of Stroke/MI, and dementia. High-dose atorvastatin was the most used statin. Pooled analysis revealed that statins lower all-cause mortality in elderly adults, however, the association was not significant (OR 0.67, 95% CI 0.38-1.18; P = 0.17). The meta-analysis demonstrated that using statins to reduce mortality in frail patients does not appear justifiable. Further prospective studies are needed to guide statin use among frail older adults for survival benefits.

Prevalence and impact of cannabis use disorder on acute ischemic stroke and subsequent mortality in elderly peripheral vascular disease patients: A population-based analysis in the USA (2016 - 2019)

BACKGROUND

Given current evidence linking peripheral atherosclerotic disease, also known as cannabis arteritis, and acute ischemic stroke (AIS) in individuals with cannabis use disorder (CUD), we investigated the frequency and implications of CUD in relation to AIS risk and outcomes among elderly patients with peripheral vascular disease (PVD).

METHODS

The National Inpatient Sample (2016-2019) was used to compare geriatric patients with PVD and cannabis use disorder CUD. CUD was correlated with AIS admissions. Adjusted multivariable regression models assessed in-hospital mortality rates.

RESULTS

Of 5,115,824 geriatric admissions with PVD, 50.6 % were male and 77.5 % were white. 21,405 admissions had cardiovascular and CUD co-occurrence. 19.7 % of CUD patients had diabetes mellitus (DM), compared to 33.7 % of non-CUD patients. Smoking and HTN rates were comparable between groups. Patients with CUD used more recreational drugs concurrently than those without CUD. AIS prevalence was 5.2 % in CUD patients and 4.0 % in controls (p < 0.001). In the geriatric population with PVD, the presence of CUD was found to be associated with increased odds of hospitalizations due to AIS, with an adjusted odds ratio (aOR) of 1.34 (95 % confidence interval [CI] 1.18-1.52, p < 0.001). All-cause in-hospital mortality was not statistically significant, with an aOR of 0.71 (95 %CI 0.36-1.37, p = 0.302). In our study, older patients with PVD and hypertension (aOR 1.73) had a greater risk of AIS. Intriguingly, when we analyzed AIS predictors in elderly PVD patients with concurrent tobacco use disorder, we identified a counterintuitive protective effect (aOR 0.58, 95 % CI 0.42-0.79, p < 0.001).

CONCLUSIONS

Our findings indicate that among geriatric patients with PVD and concurrent CUD, there is a notable 34 % risk of AIS. Importantly, this risk persists despite controlling for other CVD risk factors and substance use. Further investigations are warranted to elucidate and validate the intriguing phenomenon known as the smoker's paradox.

Association Between Lipoprotein (a) and Risk of Atrial Fibrillation: A Systematic Review and Meta-analysis of Mendelian Randomization Studies

Lipoprotein (a) (Lp[a]) is an established risk factor for atherosclerotic cardiovascular disease (ASCVD). However, data on association of Lp(a) with risk of atrial fibrillation (AF) is still limited. We searched PubMed/Medline, Scopus, and EMBASE for studies evaluating the association of Lp(a) with the occurrence of AF until July 2023. Random effects models and I2 statistics were used for pooled odds ratios (OR), and heterogeneity assessments. A subgroup analysis was performed based on the cohort population, and a one-out sensitivity analysis was performed. This meta-analysis comprised 275,647 AF cases and 2,100,172 Lp(a) participants. An increase in Lp(a) was associated with an increased risk of AF in mendelian randomization (MR) studies (OR 1.024, 95% CI: 1.007-1.042, I2 = 87.72%, P < 0.001). Leave-one-out sensitivity analysis confirmed equivalent results in MR studies. Subgroup analysis of MR studies revealed a higher risk of AF in the European cohort (OR 1.023, 95% CI: 1.007-1.040, I2 = 89.05%, P < 0.001) and a low risk (OR 0.940, 95% CI: 0.893-0.990) in the Chinese population. Meta-analysis of the MR data suggested higher levels of Lp(a) were associated with increased risk of AF. Future robust prospective studies are warranted to validate these findings.

Prevalence and impact of tobacco use disorder on in-hospital mortality in patients hospitalized with non-group 1 pulmonary hypertension: a nationwide propensity score-matched analysis, 2019

Numerous studies indicated that patients with tobacco use disorder (TUD) are inversely associated with mortality in what is known as the smoker's paradox. However, limited studies have been conducted on the impact of TUD on the in-hospital mortality rates of patients with secondary pulmonary hypertension (PH, Non-Group 1 PH). Using the 2019 National Inpatient Sample, we identified PH and divided it into TUD and non-TUD to compare the comorbidities and in-hospital mortality between the two after 1:1 propensity-score matching. Of 1,129,440 PH hospitalizations, 12.1 % had TUD. After matching (n=133545, each group), TUD had lower median age (62 vs. 63), higher females (49 vs. 46.6 %), blacks (25.9 vs. 25.3 %), lower household income (40.8 vs. 32.7 %), Medicaid (22.4 vs. 14.8 %), non-elective (93.5 vs. 89.8 %), rural (9.3 vs. 6.7 %), urban non-teaching (17.2 vs 15.8 %) admissions. All CV comorbidities and other substance use were higher in TUD except CHF and valvular heart disease, TUD+ cohort and lower mortality (3.3 vs. 4.2 %, OR 0.78, p<0.001), higher routine discharges (53.8 vs. 51.3 %, p<0.001) and lower total charges ($47155 vs. 51909, p<0.001) than non-TUD. Although PH patients with TUD had a higher comorbidity burden, they had lower in-hospital mortality rates along with lower total charges of hospitalization, mandating real-world data to validate these results. See also the Graphical abstract(Fig. 1).

Predicting Risk of Cardiac Arrest in Young Asian Americans: Insights from an Artificial Neural Network Analysis of the Nationwide Cohort

We used the Artificial Neural Network (ANN) model to identify predictors of Sudden Cardiac Arrest (SCA) in a national cohort of young Asian patients in the United States. The National Inpatient Sample (2019) was used to identify young Asians (18-44-year-old) who were hospitalized with SCA. The neural network's predicted criteria for SCA were selected. After eliminating missing data, young Asians (n = 65,413) were randomly divided into training (n = 45,094) and testing (n = 19347) groups. Training data (70%) was used to calibrate ANN while testing data (30%) was utilized to assess the algorithm's accuracy. To determine ANN's performance in predicting SCA, we compared the frequency of incorrect prediction between training and testing data and measured the area under the Receiver Operating Curve (AUC). The 2019 young Asian cohort had 327,065 admissions (median age 32 years; 84.2% female), with SCA accounting for 0.21%. The exact rate of error in predictions vs. tests was shown by training data (0.2% vs 0.2%). In descending order, the normalized importance of predictors to accurately predict SCA in young adults included prior history of cardiac arrest, sex, age, diabetes, anxiety disorders, prior coronary artery bypass grafting, hypertension, congenital heart disease, income, peripheral vascular disease, and cancer. The AUC was 0.821, indicating an excellent ANN model for SCA prediction. Our ANN models performed excellently in revealing the order of important predictors of SCA in young Asian American patients. These findings could have a considerable impact on clinical practice to develop risk prediction models to improve the survival outcome in high-risk patients.

Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, emphasizing the need for improved diagnostic and treatment approaches. In recent years, the emergence of artificial intelligence (AI) has sparked considerable interest in its potential role in lung cancer. This review aims to provide an overview of the current state of AI applications in lung cancer screening, diagnosis, and treatment. AI algorithms like machine learning, deep learning, and radiomics have shown remarkable capabilities in the detection and characterization of lung nodules, thereby aiding in accurate lung cancer screening and diagnosis. These systems can analyze various imaging modalities, such as low-dose CT scans, PET-CT imaging, and even chest radiographs, accurately identifying suspicious nodules and facilitating timely intervention. AI models have exhibited promise in utilizing biomarkers and tumor markers as supplementary screening tools, effectively enhancing the specificity and accuracy of early detection. These models can accurately distinguish between benign and malignant lung nodules, assisting radiologists in making more accurate and informed diagnostic decisions. Additionally, AI algorithms hold the potential to integrate multiple imaging modalities and clinical data, providing a more comprehensive diagnostic assessment. By utilizing high-quality data, including patient demographics, clinical history, and genetic profiles, AI models can predict treatment responses and guide the selection of optimal therapies. Notably, these models have shown considerable success in predicting the likelihood of response and recurrence following targeted therapies and optimizing radiation therapy for lung cancer patients. Implementing these AI tools in clinical practice can aid in the early diagnosis and timely management of lung cancer and potentially improve outcomes, including the mortality and morbidity of the patients.

Major Adverse Cardiac and Cerebrovascular Events in Geriatric Patients with Obstructive Sleep Apnea: An Inpatient Sample Analysis

BACKGROUND

Obstructive sleep apnea (OSA) is associated with an increased risk of major cardiac and cerebrovascular events (MACCE). However, data on the burden and predictors of MACCE in geriatric patients with OSA (G-OSA) remain limited.

METHODS

Using the National Inpatient Sample from 2018, we identified G-OSA admissions (age ≥ 65 years) and divided them into non-MACCE vs. MACCE (all-cause mortality, stroke, acute myocardial infarction, and cardiac arrest). We compared the demographics and comorbidities in both cohorts and extracted the odds ratio (multivariate analysis) of MACCE and associated in-hospital mortality.

RESULTS

Out of 1,141,120 geriatric obstructive sleep apnea G-OSA admissions, 9.9% (113,295) had MACCE. Males, Asians, or the Pacific Islander/Native American race, and patients from the lowest income quartile revealed a higher MACCE rate. Significant clinical predictors of MACCE in elderly OSA patients on multivariable regression analysis in decreasing odds were pulmonary circulation disease (OR 1.47, 95% CI 1.31-1.66), coagulopathy (OR 1.43, 95% CI 1.35-1.50), peripheral vascular disease (OR 1.34, 95% CI 1.28-1.40), prior sudden cardiac arrest (OR 1.34, 95% CI 1.11-1.62), prior myocardial infarction (OR 1.27, 95% CI 1.22-1.33), fluid and electrolyte imbalances (OR 1.25, 95% CI 1.20-1.29), male sex (OR 1.22, 95% CI-1.18-1.26), hyperlipidemia (OR 1.20, 95% CI 1.16-1.24), low household income (OR 1.19, CI 1.13-1.26), renal failure (OR 1.15, 95% CI 1.12-1.19), diabetes (OR 1.14, 95% CI 1.10-1.17), metastatic cancer (OR 1.14, 95% CI 1.03-1.25), and prior stroke or TIA (OR 1.12, 95% CI 1.07-1.17) (All p value < 0.05).

CONCLUSIONS

This study emphasizes the significant association between obstructive sleep apnea (OSA) and major cardiac and cerebrovascular events (MACCE) in the geriatric population. Among the elderly OSA patients, a substantial 9.9% were found to have MACCE, with specific demographics like males, Asian or Pacific Islander/Native American individuals, and those from the lowest income quartile being particularly vulnerable. The study sheds light on several significant clinical predictors, with pulmonary circulation disease, coagulopathy, and peripheral vascular disease topping the list. The highlighted predictors provide valuable insights for clinicians, allowing for better risk stratification and targeted interventions in this vulnerable patient cohort. Further research is essential to validate these findings and inform how tailored therapeutic approaches for geriatric OSA patients can mitigate MACCE risk.

CLINICAL IMPLICATIONS

Elderly individuals with a high risk for MACCE should undergo routine OSA screening using tools like the sensitive STOP-BANG Questionnaire. Implementing CPAP treatment can enhance cardiovascular outcomes in these patients.

Left atrial appendage doppler velocity as a predictor of recurrence of atrial fibrillation after transesophageal echocardiogram guided electrical cardioversion

Background

There is a paucity of data on average left atrial appendage emptying velocity (LAAV) measured by doppler during transesophageal echocardiogram (TEE) being able to predict the risk of AF recurrence after electrical cardioversion (ECV).

Methods

Using electronic medical records from a community hospital, retrospective study was conducted after identifying all patients that received TEE-guided ECV. Data pertaining to LAAV, AF recurrence, and variables were obtained and analyzed.

Results

Out of 625 patients receiving TEE-guided ECV, 94 were excluded, and 51 did not convert to sinus rhythm. 480 patients had a successful ECV; out of these, 201 (41.87%) and 243 (50.62%) had a recurrence of atrial fibrillation at the end of 1 month and 3 months, respectively. Low LAAV (<=30 cm/s) was independently associated with an increased risk of AF recurrence at the end of 1 month (aOR 2.37, 95CI 1.5-3.73; p < 0.001) and 3 months (aOR 2.51, 95CI 1.59-3.96; p < 0.001) after TEE-guided ECV.

Conclusions

Low LAAV is associated with a high risk of AF recurrence. Identifying a specific subgroup of individuals at high risk of AF recurrence with the help of pre-ECV LAAV will facilitate the early institution of alternate treatment strategies and the plan for additional therapies.

Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

Background

The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019.

Methods

We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends.

Findings

In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of -0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = -0.41), inflammatory bowel disease (AAPC = -0.72), multiple sclerosis (AAPC = -0.26), psoriasis (AAPC = -0.77), and atopic dermatitis (AAPC = -0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR.

Interpretation

The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively.

Funding

The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).

Effect of Interval between Neoadjuvant Chemotherapy and Radiation Therapy on Metastasis Risk for Inoperable Non-Metastatic Pancreatic Adenocarcinoma

PURPOSE/OBJECTIVE(S)

In inoperable pancreatic cancer patients requiring radiotherapy (RT) after neoadjuvant chemotherapy (CT), there can be delays in starting radiation due to multiple complications. However, pancreatic cancer can progress rapidly during short intervals without treatment. We hypothesize that longer intervals between neoadjuvant chemotherapy and radiation could expediate the development of metastatic disease.

MATERIALS/METHODS

We identified patients with inoperable non-metastatic borderline resectable or locally advanced pancreatic cancer treated with neoadjuvant CT followed by RT from 2011 to 2021 at a single institution. Patients who completed palliative RT as defined by a biologic effective dose (BED) of less than 50 Gy, or those who were lost to follow-up within 3 months after completing RT without documented disease progression were excluded. The interval between RT and CT was defined as the time between last date of CT administration and initiation of RT. The primary endpoint was metastasis-free survival (MFS) after RT completion. Differences in MFS between patients who started RT within or after 4, 6, and 8 weeks of completing CT were examined utilizing log rank analysis of MFS generated via the Kaplan-Meier method.

RESULTS

At a median follow-up of 5.45 months, twenty-three patients were included. Most patients were male (61%) with cT4 (61%), cN0 (83%) pancreatic adenocarcinoma. Almost all patients completed combination neoadjuvant CT (91%) followed by either intensity modulated RT to 50.4 Gy in 28 fractions with capecitabine (n = 9) or stereotactic body RT to 33-40 Gy in 5 fractions (n = 14). Eleven (48%) patients received adjuvant CT after radiation therapy. The median time between last CT and RT initiation was 34 days (range 13-142). The MFS of patients who initiated RT within 4 weeks of CT compared to after was higher but not significant (16.8 vs 9.9 months, p = 0.144). Those who received RT within 6 or 8 weeks of completing CT exhibited significantly longer MFS compared to later than 6 (16.0 vs 6.9 mo, p = 0.016) or 8 weeks (15.1 vs 2.1 mo, p = 0.004). There was no statistical correlation between MFS and other variables (CA 19-9 before radiation, T-stage, receipt of adjuvant CT, BED).

CONCLUSION

These results suggest that a longer interval between CT and RT is associated with the risk of developing metastatic disease sooner but requires validation in a prospective cohort. Root causes of delays in starting radiation (e.g., insurance authorization) should be investigated as well.

Concurrent Cardio-Cerebral Infarctions in COVID-19: A Systematic Review of Published Case Reports/Series

Twelve CCI patients were studied with confirmed or suspected COVID-19 infection. The majority of these patients were males (83.3%) with a median age of 55 years from three geographical locations, constituting the Middle East (7), Spain (3), and the USA (1). In 6 patients, IgG/IgM was positive for COVID-19, 4 with high pretest probability and 2 with positive RT-PCR. Type 2 DM, hyperlipidemia, and smoking were the primary risk factors. Right-sided neurological impairments and verbal impairment were the most common symptoms. Our analysis found 8 (66%) synchronous occurrences. In 58.3% of cases, neuroimaging showed left Middle Cerebral Artery (MCA) infarct and 33.3% right. Carotid artery thrombosis (16.6%), tandem occlusion (8.3%), and carotid stenosis (1%) were also reported in imaging. Dual antiplatelet therapy (DAPT) and anticoagulants were conservative therapies (10). Two AMI patients had aspiration thrombectomy, while three AIS patients had intravenous thrombolysis/tissue plasminogen activator (IVT-tPA), 2 had mechanical thrombectomy (MT), and 1 had decompressive craniotomy. Five had COVID-19-positive chest X-rays, whereas 4 were normal. four of 8 STEMI and 3 NSTEMI/UA patients complained chest pain. LV, ICA, and pulmonary embolism were further complications (2). Upon discharge, 7 patients (70%) had residual deficits while 1 patient unfortunately died.

In-hospital Outcomes of Aspiration Pneumonia Hospitalizations With Acute Heart Failure: A Nationwide Analysis

Background and Objectives

There is a paucity of data regarding the impact of acute heart failure (AHF) on the outcomes of aspiration pneumonia (AP).

Methods

Using National Inpatient Sample datasets (2016 to 2019), we identified admissions for AP with AHF vs. without AHF using relevant International Classification of Diseases, Tenth Revision codes. We compared the demographics, comorbidities, and outcomes between the two groups.

Results

Out of the 121,097,410 weighted adult hospitalizations, 488,260 had AP, of which 13.25% (n=64,675) had AHF. The AHF cohort consisted predominantly of the elderly (mean age 80.4 vs. 71.1 years), females (47.8% vs. 42.2%), and whites (81.6% vs. 78.5%) than non-AHF cohort (all p<0.001). Complicated diabetes and hypertension, dyslipidemia, obesity, chronic pulmonary disease, and prior myocardial infarction were more frequent in AHF than in the non-AHF cohort. AP-AHF cohort had similar adjusted odds of all-cause mortality (adjusted odds ratio [AOR], 0.9; 95% confidence interval [CI], 0.78-1.03; p=0.122), acute respiratory failure (AOR, 1.0; 95% CI, 0.96-1.13; p=0.379), but higher adjusted odds of cardiogenic shock (AOR, 2.2; 95% CI, 1.30-3.64; p=0.003), and use of mechanical ventilation (MV) (AOR, 1.3; 95% CI, 1.17-1.56; p<0.001) compared to AP only cohort. AP-AHF cohort more frequently required longer durations of MV and hospital stays with a higher mean cost of the stay.

Conclusions

Our study from a nationally representative database demonstrates an increased morbidity burden, worsened complications, and higher hospital resource utilization, although a similar risk of all-cause mortality in AP patients with AHF vs. no AHF.

Effects of Valvular Heart Disease on Clinical Outcomes in Sarcoidosis

Systemic sarcoidosis can lead to heart failure, conduction abnormalities and ventricular arrhythmias although data on concomitant valvular heart disease (VHD) is limited. We reported the prevalence and outcomes of VHD in systemic sarcoidosis. A retrospective cohort study was conducted using National Inpatient Sample between 2016 and 2020 with respective ICD-10-CM codes. 406,315 patients were hospitalized with sarcoidosis, out of which 20,570 had comorbid VHD (5.1%). Mitral disease was most common (2.5%), followed by aortic, and tricuspid disease. Tricuspid disease was associated with increased mortality in sarcoidosis (OR 1.6, 95% CI, 1.1-2.6, P = 0.04), while aortic disease was associated with higher mortality in only 31-50 years age cohort. Patients with sarcoidosis and VHD have higher hospitalization charges and lower or similar valvular intervention rates than those without sarcoidosis. VHD has a prevalence of 5% in sarcoidosis, predominantly affecting mitral and aortic valves. Underlying VHD is associated with worse outcomes in sarcoidosis.

Relationship between Cardiovascular Risk Factors and Composite Cardiovascular Outcomes in Patients Hospitalized with Takotsubo Syndrome: A Nationwide Analysis

The association of traditional cardiovascular disease (CVD) risk factors with outcomes of Takotsubo syndrome (TTS) is not well-defined. This study examined how modifiable CVD risk factors affect composite cardiovascular outcomes in TTS hospitalizations. TTS admissions were identified using ICD-10 codes and compared for demographics and comorbidities using the 2019 National Inpatient Sample. A multivariable regression examined the association of traditional CVD risk variables with adverse composite cardiovascular outcomes in TTS, controlling for confounders including sociodemographic or hospital-level characteristics and other relevant comorbidities. A total of 16,055 (38.1%) of the 41,855 adult TTS admissions had composite cardiovascular outcomes (TACCO). The TACCO cohort was 81.5% white, 77.3% female, and 72 years old. This group had higher rates of diabetes and peripheral vascular disease (PVD). The results showed that a higher prevalence of diabetes with chronic complications (OR = 1.18) and complicated hypertension (HTN) (OR = 1.1) predicted TACCO, whereas tobacco use disorder (OR = 0.84), hyperlipidemia (OR = 0.76), and uncomplicated HTN (OR = 0.65) (p < 0.001) showed a paradoxical effect with TACCO. TACCO had fewer routine discharges (35.3% vs. 63.4%), longer stays (6 vs. 3 days), and higher median hospital costs (78,309 USD vs. 44,966 USD). This population-based study found that complicated HTN and DM with chronic complications are strongly associated with adverse cardiovascular outcomes in TTS hospitalizations. But still, some risk factors, such as hyperlipidemia and uncomplicated HTN, have counterintuitive effects that require further evaluation. To prevent cardiac events in TTS patients, traditional CVD risk factors must be addressed.

Cardiovascular Disease Risk Factors and Outcomes of Acute Myocardial Infarction in Young Adults: Evidence From 2 Nationwide Cohorts in the United States a Decade Apart

The purpose of this study was to evaluate 2 national in-patient cohorts of young adults (18-44 years) hospitalized with acute myocardial infarction (AMI) a decade apart to highlight its prevalence, associated comorbidities, and in-hospital outcomes. We identified hospitalizations for AMI in young adults in 2007 and 2017 using the weighted data from the National Inpatient Sample. We compared admission rates, sociodemographic characteristics, in-hospital morbidity, complications, mortality, rate of coronary interventions, and healthcare utilization between the 2 cohorts. We found that the admission rate of AMI increased among young adults in 2017 vs 2007. The overall admission rate was higher in males, although with a decline (77.1% vs 66.1%), whereas it rose from 28.9% to 33.9% in females. Hypertension (47.8% vs 60.7%), smoking (49.7% vs 55.8%), obesity (14.8% vs 26.8%), and diabetes mellitus (22.0% vs 25.6%) increased in the 2017 cohort. Post-AMI complications: cardiogenic shock (aOR = 1.16 [1.06-1.27]) and fatal arrhythmias heightened with comparable all-cause mortality (aOR = 1.01 [0.93-1.10], P = 0.749). Reperfusion interventions, percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) decreased in the 2017 cohort (PCI; aOR = 0.95 [0.91-0.98], CABG; aOR = 0.66 [0.61-0.71], P < 0.001). Our study highlights the rise in AMI hospitalizations, plateauing of mortality, sex-based and racial disparities, the surge in post-MI complications, and a reassuring decline in the requirement of reperfusion interventions in young AMI patients over the decade.

Spontaneous coronary artery dissection-associated takotsubo syndrome: A systematic review of case reports

BACKGROUND

Spontaneous coronary artery dissection (SCAD) is underdiagnosed and requires comprehensive angiographic findings. Few SCAD occurrences have a comparable clinical appearance as takotsubo syndrome (TTS) or exist simultaneously, making it challenging for clinicians to treat and manage. Case reports lack consolidated data. We examined SCAD-TTS case reports.

AIM

To conduct a systematic review of available case reports on SCAD in order to investigate its potential association with TTS.

METHODS

SCAD-associated TTS case reports were reviewed after thoroughly screening PubMed, EMBASE, Scopus, and Google Scholar databases till January 2023. Case reports described demographics, comorbidities, imaging, management, and results.

RESULTS

Twelve articles about 20 female patients were analyzed. 30% of patients (n = 6, > 60 years) were elderly (mean age 56.2 ± 9.07 years, range 36-70 years). Canada has 9 cases, United States 3, Australia 3, Sweden 2, Japan, Denmark, and France 1. Only 5 reports identified emotional stressors in these cases while 4 reports showed physical triggers for TTS. Nine had hypertension, 2 had hyperlipidemia, and 1 had prediabetes. 5 patients (25%) smoked. 10 (50%) troponin-positive myocardial infarction patients reported chest discomfort. 11 (55%) of 20 instances had TTS/SCAD. 12 (60%) of 20 patients exhibited ST elevation and 3 (15%) had T wave inversion on electrocardiogram. 19/20 patients had elevated troponin. 9 (45%) of 20 people had apical akinesis with TTS ballooning on cardiac imaging. All 20 exhibited echocardiographic wall motion abnormalities. 19 (95%) of 20 coronary angiography cases had SCAD. 10 of 19 SCAD patients had left anterior descending, 2 diagonal, and 2 left circumflex coronary artery involvement. 7 of 20 patients had left ventricular ejection fraction (LVEF) data. LVEF averaged 38.78 ± 7.35%. 5 (25%) of the 20 cases underwent dual antiplatelet therapy. Three (15%) of 20 cases experienced occasional ectopic ventricular complexes, Mobitz ll AV block, and paroxysmal atrial fibrillation. All 20 cases recovered and survived.

CONCLUSION

Given the clinical similarities and challenges in detecting TTS and SCAD, this subset needs more research to raise awareness and reduce morbidity.

Cardiovascular Disease Burden and Major Adverse Cardiac Events in Young Black Patients: A National Analysis of 2 Cohorts 10 Years Apart (2017 Versus 2007)

Background We aim to compare the burden of cardiovascular disease risk factors and major adverse cardiac events and in-hospital outcomes among young Black patients (aged 18-44 years) hospitalized in 2007 and 2017 using data obtained from the National Inpatient Sample database. Method and Results Comparison of the sociodemographic characteristics, comorbidities, and inpatient outcomes, including major adverse cardiac events (all-cause mortality, acute myocardial infarction, cardiogenic shock, cardiac arrest, ventricular fibrillation/flutter, pulmonary embolism, and coronary intervention), between 2017 and 2007 was performed. Multivariable analyses were performed, controlling for potential covariates. A total of 2 922 743 (mean age, 31 years; 70.3% women) admissions among young Black individuals were studied (1 341 068 in 2007 and 1 581 675 in 2017). The 2017 cohort had a younger population (mean, 30 versus 31 years; P<0.001), more male patients (30.4% versus 28.8%; P<0.001), and patients with higher nonelective admissions (76.8% versus 75%; P<0.001), and showed an increasing burden of traditional cardiometabolic comorbidities, congestive heart failure, chronic pulmonary disease, coagulopathy, depression, along with notable reductions in alcohol abuse and drug abuse, compared with the 2007 cohort. The adjusted multivariable analysis showed worsening in-hospital outcomes, including major adverse cardiac events (adjusted odds ratio [aOR], 1.21), acute myocardial infarction (aOR, 1.34), cardiogenic shock (aOR, 3.12), atrial fibrillation/flutter (aOR, 1.34), ventricular fibrillation/flutter (aOR, 1.32), cardiac arrest (aOR, 2.55), pulmonary embolism (aOR, 1.89), and stroke (aOR, 1.53). The 2017 cohort showed a decreased rate of percutaneous coronary intervention/coronary artery bypass grafting and all-cause mortality versus the 2007 cohort (P<0.001). Conclusions In conclusion, young Black patients have had an increasing burden of cardiovascular disease risk factors and worsened in-hospital outcomes, including major adverse cardiac events and stroke, in the past decade, although with improved survival odds.

Role of Intravascular Ultrasound in Pulmonary Embolism Patients Undergoing Mechanical Thrombectomy: A Systematic Review

BACKGROUND

Traditionally, mechanical thrombectomy performed for pulmonary embolism (PE) necessitates the utilization of iodinated contrast. Intravascular ultrasound (IVUS) has been used as a diagnostic and therapeutic modality in the management of acute high and intermediate-risk PE. Recently, with the shortage of contrast supplies and the considerable incidence of contrast-induced acute kidney injury (CI-AKI), other safer and more feasible IVUS methods have become desirable. The purpose of this systematic review was to evaluate the importance of IVUS in patients with PE undergoing thrombectomy.

METHODS

Medline/PubMed, Embase, Scopus, and Google Scholar were searched for review studies, case reports, and case series. Clinical characteristics, outcomes and the usage of IVUS-guided mechanical thrombectomy during the treatment of acute high and intermediate-risk PE were examined in a descriptive analysis.

RESULTS

In this systematic review, we included one prospective study, two case series, and two case reports from July 2019 to May 2023. A total of 39 patients were evaluated; most were female (53.8%). The main presenting symptoms were dyspnea and chest pain (79.5%); three patients (7.9%) presented with syncope, one with shock and one with cardiac arrest. Biomarkers (troponin and BNP) were elevated in 94.6% of patients. Most patients (87.2%) had intermediate-risk PE, and 12.8% had high-risk PE. All patients presented with right-heart strain (RV/LV ratio ≥ 0.9, n = 39). Most patients (56.4%) had bilateral PE. Mechanical thrombectomy was performed using IVUS without contrast utilization in 39.4% of the patients. After the initial learning curve, contrast usage decreased gradually over time. There was a significant decrease in the composite mean arterial pressure immediately following IVUS-guided thrombectomy from 35.1 ± 7.2 to 25.2 ± 8.3 mmHg (p < 0.001). Post-procedure, there was no reported (0%) CI-AKI, no all-cause mortality, no major bleeding, or other adverse events. There was a significant improvement in symptoms and RV function at the mean follow-up.

CONCLUSIONS

New evidence suggests that IVUS-guided mechanical thrombectomy is safe, with visualization of the thrombus for optimal intervention, and reduces contrast exposure.

Etiologies and Predictors of 30-Day Readmission in Heart Failure: An Updated Analysis

BACKGROUND AND OBJECTIVES

Readmissions in heart failure (HF), historically reported as 20%, contribute to significant patient morbidity and high financial cost to the healthcare system. The changing population landscape and risk factor dynamics mandate periodic epidemiologic reassessment of HF readmissions.

METHODS

National Readmission Database (NRD, 2019) was used to identify HF-related hospitalizations and evaluated for demographic, admission characteristics, and comorbidity differences between patients readmitted vs. those not readmitted at 30-days. Causes of readmission and predictors of all-cause, HF-specific, and non-HF-related readmissions were analyzed.

RESULTS

Of 48,971 HF patients, the readmitted cohort was younger (mean 67.4 vs. 68.9 years, p≤0.001), had higher proportion of males (56.3% vs. 53.7%), lowest income quartiles (33.3% vs. 28.9%), Charlson comorbidity index (CCI) ≥3 (61.7% vs. 52.8%), resource utilization including large bed-size hospitalizations, Medicaid enrollees, mean length of stay (6.2 vs. 5.4 days), and disposition to other facilities (23.9% vs. 20%) than non-readmitted. Readmission (30-day) rate was 21.2% (10,370) with cardiovascular causes in 50.3% (HF being the most common: 39%), and non-cardiac in 49.7%. Independent predictors for readmission were male sex, lower socioeconomic status, nonelective admissions, atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, anemia, and CCI ≥3. HF-specific readmissions were significantly associated with prior coronary artery disease and Medicaid enrollment.

CONCLUSIONS

Our analysis revealed cardiac and noncardiac causes of readmission were equally common for 30-day readmissions in HF patients with HF itself being the most common etiology highlighting the importance of addressing the comorbidities, both cardiac and non-cardiac, to mitigate the risk of readmission.

Recurrent/Subsequent Stroke and Associated Outcomes in Geriatric Patients with OSA and Prior Stroke Events: A Retrospective Study Using the 2019 National Inpatient Sample

Background: Obstructive sleep apnea (OSA) increases the risk of stroke and cardiovascular diseases. However, its impact on geriatric patients with a prior history of stroke/transient ischemic attack (TIA) has not been adequately studied. Methods: We utilized the 2019 National Inpatient Sample in the US to identify geriatric patients with OSA (G-OSA) who had a prior history of stroke/TIA. We then compared subsequent stroke (SS) rates among sex and race subgroups. We also compared the demographics and comorbidities of SS+ and SS- groups and utilized logistic regression models to assess outcomes. Results: Out of 133,545 G-OSA patients admitted with a prior history of stroke/TIA, 4.9% (6520) had SS. Males had a higher prevalence of SS, while Asian-Pacific Islanders and Native Americans had the highest prevalence of SS, followed by Whites, Blacks, and Hispanics. The SS+ group had higher all-cause in-hospital mortality rates, with Hispanics showing the highest rate compared to Whites and Blacks (10.6% vs. 4.9% vs. 4.4%, p < 0.001), respectively. Adjusted analysis for covariates showed that complicated and uncomplicated hypertension (aOR 2.17 [95% CI 1.78-2.64]; 3.18 [95% CI 2.58-3.92]), diabetes with chronic complications (aOR 1.28 [95% CI 1.08-1.51]), hyperlipidemia (aOR 1.24 [95% CI 1.08-1.43]), and thyroid disorders (aOR 1.69 [95% CI 1.14-2.49]) were independent predictors of SS. The SS+ group had fewer routine discharges and higher healthcare costs. Conclusions: Our study shows that about 5% of G-OSA patients with a prior history of stroke/TIA are at risk of hospitalization due to SS, which is associated with higher mortality and healthcare utilization. Complicated and uncomplicated hypertension, diabetes with chronic complications, hyperlipidemia, thyroid disorders, and admission to rural hospitals predict subsequent stroke.

Rising Burden of Cardiovascular Disease Risk Factors and Acute Cardiac Events in Young Adults with Comorbid Depression: A Comparison Nationwide US Cohorts Hospitalized 10-years Apart

Depression and coronary artery disease are leading causes of mortality in adults in high-income countries. Due to the paucity of data on the young, we aimed to investigate the prevalence of cardiovascular disease (CVD) risk factors and associated major adverse cardiac and cerebrovascular events (MACCE) in young adults hospitalized with comorbid depression a decade apart. We conducted a retrospective analysis of the National Inpatient Sample Database for the years 2007 and 2017. Young adults (18-44 years) hospitalized with comorbid depression were identified using ICD-9 CM/ICD-10 codes. Frequency and trends in demographics, comorbidities including cardiovascular disease risk factors, and MACCE have been compared between the 2017 vs. 2007 cohorts. A total of 1,274,118 admissions with a median age of 34 years and 68.7% of females were recorded with comorbid depression. When the 2007 cohort was compared with the 2017 cohort, a rising trend in depression was observed (5.5% vs. 8.2%, p<0.001). The 2017 cohort of young adults with depression more often consisted of male, non-white patients. The burden of CVD risk factors such as hypertension, diabetes with chronic complications, smoking, and obesity was also greater in the 2017 cohort. Although the all-cause mortality remained comparable (0.3%) in both cohorts, there was a significantly higher rate and risk of MACCE including acute myocardial infarction (aOR 1.18, 95%CI:1.10-1.26), atrial fibrillation or flutter (aOR 1.47, 95%CI:1.40-1.54) and stroke (aOR 1.33, 95%CI: 1.26-1.40) (p <0.001) in the 2017 cohort. In conclusion, this nationwide study reveals an alarmingly increased prevalence of CVD risk factors and an increase in the rate and risk of MACCE in two cohorts of young adults with comorbid depression studied a decade apart. The burden of mental disorders in young adults has been rising in the last decade and warrants extra vigilance by clinicians to recognize and manage depression to curtail CVD risk and improve MACE-associated outcomes.