Cardiogenic shock related cardiovascular disease mortality trends in US population: Heart failure vs. acute myocardial infarction as contributing causes

Prognostic Impact of Admission Time in Infarct-Related Cardiogenic Shock: An ECLS-SHOCK Substudy

BACKGROUND

The outcomes of patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS) and the efficacy and safety of extracorporeal life support (ECLS) may be affected by the timing of hospital admission.

OBJECTIVES

The present ECLS-SHOCK substudy sought to investigate the prognostic impact of on-hours vs off-hours admission and the efficacy of ELCS according to the timing of hospital admission time in AMI-CS.

METHODS

Patients with AMI-CS enrolled in the multicenter, randomized ECLS-SHOCK trial from 2019 to 2022 were included. The prognosis of patients admitted during regular hours (ie, on-hours) was compared to patients admitted during off-hours. Thereafter, the prognostic impact of ECLS was investigated stratified by the timing of hospital admission. The primary endpoint was 30-day all-cause mortality. Statistical analyses included Kaplan-Meier, univariable, and multivariable logistic regression analyses.

RESULTS

Of 417 patients enrolled in the ECLS-SHOCK trial, 48.4% (n = 202) were admitted during off-hours. Patients admitted during off-hours were younger (median age = 62 years [Q1-Q3: 55-69 years] vs 63 years [Q1-Q3: 58-71 years]; P = 0.036) and more commonly treated using initial femoral access for coronary angiography (79.0% [n = 158/200] vs 67.9% [n = 146/215]; P = 0.011). However, off-hours admission was not associated with an increased risk of 30-day all-cause mortality (off-hours vs on-hours: 46.0% [n = 93/202] vs 50.7% [n = 109/215]; OR: 0.83; 95% CI: 0.56-1.22). Furthermore, ECLS had no prognostic impact on 30-day all-cause mortality in patients with AMI-CS admitted during on-hours (50.5% [n = 52/103] vs 50.9% [n = 57/112]; P = 0.95; OR: 0.98; 95% CI: 0.58-1.68) or in patients admitted during off-hours (45.3% [n = 48/106] vs 46.9% [n = 45/96]; P = 0.82; OR: 0.94; 95% CI: 0.54-1.63). Finally, ECLS was associated with an increased risk of bleeding events, especially in patients admitted during on-hours.

CONCLUSIONS

The prognosis in AMI-CS was not affected by admission time with a similar effect of ECLS during on- and off-hours.

In-hospital and long-term outcomes of cardiogenic shock complicating myocardial infarction versus heart failure

AIMS

This study sought to examine the difference in clinical characteristics, treatment strategy, trends in mortality, and medical costs according to the aetiologies of cardiogenic shock (CS).

METHODS AND RESULTS

This was a population-based, nationwide, cohort study from the Korean National Health Insurance Service database. All CS adults (≥18 years) were admitted to an intensive care unit from January 2010 to December 2020. The primary outcome was in-hospital mortality. The secondary outcomes were cardiac replacement therapy (left ventricular assisted device implantation or heart transplantation), all-cause mortality, ischaemic stroke, rehospitalization for heart failure (HF) during follow-up, and actual in-hospital medical costs. Among 136 092 individuals with CS, 48 704 (29.7%) cases were due to acute myocardial infarction-related CS (AMI-CS), and the remaining 87 388 (71.3%) were due to HF-CS (ischaemic cardiomyopathy [ICM] vs. non-ICM, 49 504 [56.6%] vs. 37 884 [45.4%]). Patients with HF-CS were older, less likely to be male, and less likely to receive mechanical circulatory support, compared to those with AMI-CS. During the 10-year study period, the in-hospital mortality rate decreased, and actual medical costs tended to increase, regardless of CS aetiology. Compared with AMI-CS, HF-CS was associated with higher risks of in-hospital mortality (40.3% vs. 28.5%; adjusted odds ratio [OR] 1.47, 95% confidence interval [CI] 1.43-1.52), cardiac replacement therapy (adjusted OR 1.65, 95% CI 1.16-2.34), as well as follow-up mortality after successful discharge (19.3% vs. 8.5%; adjusted-hazard ratio 1.54, 95% CI 1.48-1.59). HF-CS had lower medical costs than AMI-CS (adjusted ratio 0.79, 95% CI 0.79-0.80).

CONCLUSIONS

With medical advances during the past 10 years, the mortality of CS has decreased significantly, but the mortality of HF-CS remains high. The findings highlight the need for effective treatment strategies for patients with HF-CS.

Outcomes of Patients Transferred to Tertiary Care Centers for Treatment of Cardiogenic Shock: A Cardiogenic Shock Working Group Analysis

BACKGROUND

Consensus recommendations for cardiogenic shock (CS) advise transfer of patients in need of advanced options beyond the capability of "spoke" centers to tertiary/"hub" centers with higher capabilities. However, outcomes associated with such transfers are largely unknown beyond those reported in individual health networks.

OBJECTIVES

To analyze a contemporary, multicenter CS cohort with the aim of comparing characteristics and outcomes of patients between transfer (between spoke and hub centers) and nontransfer cohorts (those primarily admitted to a hub center) for both acute myocardial infarction (AMI-CS) and heart failure-related HF-CS. We also aim to identify clinical characteristics of the transfer cohort that are associated with in-hospital mortality.

METHODS

The Cardiogenic Shock Working Group (CSWG) registry is a national, multicenter, prospective registry including high-volume (mostly hub) CS centers. Fifteen U.S. sites contributed data for this analysis from 2016-2020.

RESULTS

Of 1890 consecutive CS patients enrolled into the CSWG registry, 1028 (54.4%) patients were transferred. Of these patients, 528 (58.1%) had heart failure-related CS (HF-CS), and 381 (41.9%) had CS related to acute myocardial infarction (AMI-CS). Upon arrival to the CSWG site, transfer patients were more likely to be in SCAI stages C and D, when compared to nontransfer patients. Transfer patients had higher mortality rates (37% vs 29%, < 0.001) than nontransfer patients; the differences were driven primarily by the HF-CS cohort. Logistic regression identified increasing age, mechanical ventilation, renal replacement therapy, and higher number of vasoactive drugs prior to or within 24 hours after CSWG site transfer as independent predictors of mortality among HF-CS patients. Conversely, pulmonary artery catheter use prior to transfer or within 24 hours of arrival was associated with decreased mortality rates. Among transfer AMI-CS patients, BMI > 28 kg/m2, worsening renal failure, lactate > 3 mg/dL, and increasing numbers of vasoactive drugs were associated with increased mortality rates.

CONCLUSION

More than half of patients with CS managed at high-volume CS centers were transferred from another hospital. Although transfer patients had higher mortality rates than those who were admitted primarily to hub centers, the outcomes and their predictors varied significantly when classified by HF-CS vs AMI-CS.

Prognosis of cardiogenic shock with and without acute myocardial infarction: results from a prospective, monocentric registry

OBJECTIVE

The study investigates the prognostic impact of cardiogenic shock (CS) stratified by the presence or absence of acute myocardial infarction (AMI).

BACKGROUND

Intensive care unit (ICU) related mortality in CS patients remains unacceptably high despite improvement concerning the treatment of CS patients.

METHODS

Consecutive patients with CS from 2019 to 2021 were included monocentrically. The prognostic impact of CS related to AMI was compared to patients without AMI-related CS. The primary endpoint was 30-day all-cause mortality. Statistical analyses included Kaplan-Meier analyses, multivariable Cox proportional regression analyses and propensity score matching.

RESULTS

273 CS patients were included (AMI-related CS: 49%; non-AMI-related CS: 51%). The risk of 30-day all-cause mortality was increased in patients with AMI-related CS (64% vs. 47%; HR = 1.653; 95% CI 1.199-2.281; p = 0.002), which was still observed after multivariable adjustment (HR = 1.696; 95% CI 1.153-2.494; p = 0.007). Even after propensity score matching (i.e., 87 matched pairs), AMI was still an independent predictor of 30-day mortality (HR = 1.524; 95% CI 1.020-2.276; p = 0.040). In contrast, non-ST-segment AMI (NSTEMI) and STEMI were associated with comparable prognosis (log-rank p = 0.528).

CONCLUSION

AMI-related CS was associated with increased 30-day all-cause mortality compared to patients with CS not related to AMI. In contrast, the prognosis of STEMI- and NSTEMI-CS patients was comparable.

Need for a Cardiogenic Shock Team Collaborative-Promoting a Team-Based Model of Care to Improve Outcomes and Identify Best Practices

Cardiogenic shock continues to carry a high mortality rate despite contemporary care, with no breakthrough therapies shown to improve survival over the past few decades. It is a time-sensitive condition that commonly results in cardiovascular complications and multisystem organ failure, necessitating multidisciplinary expertise. Managing patients with cardiogenic shock remains challenging even in well-resourced settings, and an important subgroup of patients may require cardiac replacement therapy. As a result, the idea of leveraging the collective cognitive and procedural proficiencies of multiple providers in a collaborative, team-based approach to care (the "shock team") has been advocated by professional societies and implemented at select high-volume clinical centers. A slowly maturing evidence base has suggested that cardiogenic shock teams may improve patient outcomes. Although several registries exist that are beginning to inform care, particularly around therapeutic strategies of pharmacologic and mechanical circulatory support, none of these are currently focused on the shock team approach, multispecialty partnership, education, or process improvement. We propose the creation of a Cardiogenic Shock Team Collaborative-akin to the successful Pulmonary Embolism Response Team Consortium-with a goal to promote sharing of care protocols, education of stakeholders, and discovery of how process and performance may influence patient outcomes, quality, resource consumption, and costs of care.

Association of body mass index with 30-day all-cause mortality in cardiogenic shock

BACKGROUND AND AIMS

This study investigates the prognostic impact of body mass index (BMI) on the risk of 30-day all-cause mortality in patients with cardiogenic shock (CS). Due to ongoing epidemiological developments, the characteristics of patients with cardiovascular disease are consistently changing. Especially increasing rates of obesity and associated comorbidities have been observed. However, data regarding the prognostic value of BMI in patients with CS remains inconclusive.

METHODS AND RESULTS

Consecutive patients with CS were included from 2019 to 2021. The prognostic value of BMI (i.e., BMI 18.5-<25; 25-30 and >30 kg/m2) was analyzed using Kaplan-Meier and multivariable Cox proportional regression analyses regarding the primary endpoint of 30-day all-cause mortality. Additional risk stratification was performed based on the presence or absence of CS related to acute myocardial infarction (AMI). 256 patients with a median BMI of 26.4 kg/m2 were included. The overall risk of 30-day all-cause mortality was 53.5%. Within the entire study cohort, BMI was not associated with the risk of 30-day all-cause mortality (log rank p ≥ 0.107). In contrast, BMI >30 kg/m2 was associated with higher risk of 30-day all-cause mortality when compared to BMI <25 kg/m2 in patients with AMI-CS (78% vs 47%; log rank p = 0.017), which was confirmed after multivariable adjustment (HR = 2.466; 95% CI 1.126-5.399; p = 0.024). However, BMI was not associated with mortality in patients with non-AMI-CS.

CONCLUSION

BMI >30 kg/m2 was associated with increased risk of 30-day all-cause mortality in patients with AMI-CS, but not in non-AMI-CS.

Effect of Admission and Onset Time on the Prognosis of Patients With Cardiogenic Shock

BACKGROUND

The spectrum of patients with cardiogenic shock (CS) has changed significantly over time. CS has become especially more common in the absence of acute myocardial infarction (AMI), while this subset of patients was typically excluded from recent studies. Furthermore the prognostic impact of onset time and onset place due to CS has rarely been investigated.

RESEARCH QUESTION

Do the place of CS onset (out-of-hospital, ie, primary CS vs in-hospital, ie, secondary CS) and the onset time of out-of-hospital CS (ie, on-hours vs off-hours admission) affect the risk of all-cause mortality at 30 days?

STUDY DESIGN AND METHODS

This prospective monocentric registry included consecutive patients with CS of any cause from 2019 until 2021. First, the prognostic impact of the place of CS onset (out-of-hospital, ie, primary CS vs during hospitalization, ie, secondary CS) was investigated. Thereafter, the prognostic impact of the onset time of out-of-hospital CS was investigated. Furthermore, the prognostic impact of causative AMI vs non-AMI was investigated. Statistical analyses included Kaplan-Meier analyses, and univariable and multivariable Cox regression analyses.

RESULTS

Two hundred seventy-three patients with CS were included prospectively (64% with primary out-of-hospital CS). The place of CS onset was not associated with increased risk of all-cause mortality within the entire study cohort (secondary in-hospital CS: hazard ratio [HR], 1.532; 95% CI, 0.990-2.371; P = .06). However, increased risk of 30-day all-cause mortality was seen in patients with AMI related secondary in-hospital CS (HR, 2.087; 95% CI, 1.126-3.868; P = .02). Furthermore, primary out-of-hospital CS admitted during off-hours was associated with lower risk of all-cause mortality compared to primary CS admitted during on-hours (HR, 0.497; 95% CI, 0.302-0.817; P = .01), irrespective of the presence or absence of AMI.

INTERPRETATION

Primary and secondary CS were associated with comparable, whereas primary out-of-hospital CS admitted during off-hours was associated with lower risk of all-cause mortality at 30 days.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT05575856; URL: www.

CLINICALTRIALS

gov.

Platelet Count During Course of Cardiogenic Shock

The study investigates the prognostic value of the platelet count in patients with cardiogenic shock (CS). Limited data regarding the prognostic value of platelets in patients suffering from CS is available. Consecutive patients with CS from 2019 to 2021 were included at one institution. Firstly, the prognostic value of the baseline platelet count was tested for 30-day all-cause mortality. Thereafter, the prognostic impact of platelet decline during course of intensive care unit (ICU) hospitalization was assessed. A total of 249 CS patients were included with a median platelet count of 224 × 10 6 /ml. No association of the baseline platelet count with the risk of 30-day all-cause mortality was found (log-rank p = 0.563; hazard ratio [HR] = 0.879; 95% confidence interval [CI] 0.557-1.387; p = 0.579). In contrast, a decrease of platelet count by ≥ 25% from day 1 to day 3 was associated with an increased risk of 30-day all-cause mortality (55% vs. 39%; log-rank p = 0.045; HR = 1.585; 95% CI 0.996-2.521; p = 0.052), which was still evident after multivariable adjustment (HR = 1.951; 95% CI 1.116-3.412; p = 0.019). Platelet decrease during the course of ICU hospitalization but not the baseline platelet count was associated with an increased risk of 30-day all-cause mortality in CS patients.

Cardiogenic Shock: Pathogenesis, Classification, and Management

Cardiogenic shock (CS) is a life-threatening circulatory failure syndrome which can progress rapidly to irreversible multiorgan failure through self-perpetuating pathophysiological processes. Recent developments in CS classification have highlighted its etiologic, mechanistic, and hemodynamic heterogeneity. Optimal CS management depends on early recognition, rapid reversal of the underlying cause, and prompt initiation of hemodynamic support.

SCAI Staging Application for Acute Myocardial Infarction-Related Cardiogenic Shock at a Single-Center Russian Registry

AIM

To access the features of the course of myocardial infarction (MI) in patients with different stages of MI complicated by cardiogenic shock (MI CS) according to the SCAI scale.

METHODS

We retrospectively described the portrait of CS MI (n = 117) at different stages of SCAI from the hospital MI registry (n = 1253).

RESULTS

Hospital mortality increased from stage to stage (p ≤ 0.001). Significant differences in biochemical parameters were found both for indicators characterizing intensive care measures, such as the presence of mechanical lung ventilation or an intra-aortic balloon pump, and for indicators of organ hypoperfusion such as lactate level, pHv (7.39 (7.36; 7.44) at stage A-B; 7.14 (7.06; 7.18) at stage E), creatinine, and glomerular filtration rate. Parameters related to MI characteristics, such as instrumental and laboratory data, anamnesis of ischemia, and performed treatment, did not differ between groups. Polynomial logistic regression showed that lactate level, mechanical ventilation, and monocyte count upon admission (1.15 (0.96; 1.23) at stage A-B; 0.78 (0.49; 0.94) at stage E, p = 0.005) correlated with CS severity.

CONCLUSION

The characteristics of MI at different stages of SCAI do not have differences and do not determine the severity of shock. We revealed a high discriminatory potential of the pH level in predicting refractory shock. The value of monocytes at admission may be a promising predictor of the severity of MI CS. The question of the causes of heterogeneity of MI CS, taking into account the homogeneity of MI characteristics, remains open and promising.

Clinical Course of Patients in Cardiogenic Shock Stratified by Phenotype

BACKGROUND

Cardiogenic shock (CS) patients remain at 30% to 60% in-hospital mortality despite therapeutic innovations. Heterogeneity of CS has complicated clinical trial design. Recently, 3 distinct CS phenotypes were identified in the CSWG (Cardiogenic Shock Working Group) registry version 1 (V1) and external cohorts: I, "noncongested;" II, "cardiorenal;" and III, "cardiometabolic" shock.

OBJECTIVES

The aim was to confirm the external reproducibility of machine learning-based CS phenotypes and to define their clinical course.

METHODS

The authors included 1,890 all-cause CS patients from the CSWG registry version 2. CS phenotypes were identified using the nearest centroids of the initially reported clusters.

RESULTS

Phenotypes were retrospectively identified in 796 patients in version 2. In-hospital mortality rates in phenotypes I, II, III were 23%, 41%, 52%, respectively, comparable to the initially reported 21%, 45%, and 55% in V1. Phenotype-related demographic, hemodynamic, and metabolic features resembled those in V1. In addition, 58.8%, 45.7%, and 51.9% of patients in phenotypes I, II, and III received mechanical circulatory support, respectively (P = 0.013). Receiving mechanical circulatory support was associated with increased mortality in cardiorenal (OR: 1.82 [95% CI: 1.16-2.84]; P = 0.008) but not in noncongested or cardiometabolic CS (OR: 1.26 [95% CI: 0.64-2.47]; P = 0.51 and OR: 1.39 [95% CI: 0.86-2.25]; P = 0.18, respectively). Admission phenotypes II and III and admission Society for Cardiovascular Angiography and Interventions stage E were independently associated with increased mortality in multivariable logistic regression compared to noncongested "stage C" CS (P < 0.001).

CONCLUSIONS

The findings support the universal applicability of these phenotypes using supervised machine learning. CS phenotypes may inform the design of future clinical trials and enable management algorithms tailored to a specific CS phenotype.

Prognostic Value of the AST/ALT Ratio versus Bilirubin in Patients with Cardiogenic Shock

This study investigates the prognostic value of the aspartate-to-alanine aminotransferase ratio (i.e., AST/ALT ratio) and bilirubin in patients with cardiogenic shock (CS). Despite ongoing improvements regarding the treatment of CS patients, invasive care unit (ICU) mortality in CS patients remains unacceptably high. Limited data regarding the prognostic value of the AST/ALT ratio and bilirubin in patients suffering from CS is available. The authors hypothesize the measurement of liver enzymes during the course of CS may be an easy and feasible method to assess right-heart dysfunction and prognosis in patients with CS. Consecutive patients with CS from 2019 to 2021 were included. Blood samples were retrieved from the day of disease onset (day 1), days 2, 3, 4 and 8. The prognostic value of the AST/ALT ratio and bilirubin was tested for 30-day all-cause mortality. Statistical analyses included univariable t-tests, Spearman's correlations, Kaplan-Meier analyses, as well as multivariable Cox proportional regression analyses. A total of 157 CS patients were included, with an overall rate of all-cause mortality at 30 days of 51%. The median AST/ALT ratio on day 1 was 1.4, and the median bilirubin was 0.63 mg/dL. No association of the baseline AST/ALT ratio (HR = 1.005; 95% CI 0.649-1.558; p = 0.981) and bilirubin (HR = 1.320; 95% CI 0.834-2.090; p = 0.236) with the risk of 30-day all-cause mortality was found. In contrast, the AST/ALT ratio on day 4 was associated with the risk of 30-day all-cause mortality (HR = 2.826; 95% CI 1.227-6.510; p = 0.015), which was still evident after the multivariable adjustment (HR = 2.830; 95% CI 1.054-7.690; p = 0.039). The AST/ALT ratio during the course of ICU hospitalization from day 4-but not the baseline AST/ALT ratio and bilirubin-was associated with an increased risk of 30-day all-cause mortality in CS patients.

Contemporary trends in mortality related to high-risk pulmonary embolism in US from 1999 to 2019

BACKGROUND

Population-based data on high-risk pulmonary embolism (PE) mortality trends in the United States (US) are scant.

OBJECTIVES

To assess current trends in US mortality related to high-risk PE over the past 21 years and determine differences by sex, race, ethnicity, age and census region.

METHODS

Data were extracted from the Centers for Disease Control and Prevention (CDC) Wide-ranging ONline Data for Epidemiologic Research (WONDER) to determine trends in age-adjusted mortality rates (AAMR) per 100,000 people, due to high-risk PE. To calculate nationwide annual trends, we assessed the average (AAPC) and annual percent change (APC) with relative 95 % confidence intervals (CIs) using Joinpoint regression.

RESULTS

Between 1999 and 2019, high-risk PE was listed as the underlying cause of death in 209,642 patients, corresponding to an AAMR of 3.01 per 100,000 people (95 % CI: 2.99 to 3.02). AAMR from high-risk PE remained stable from 1999 to 2007 [APC: -0.2 %, (95 % CI: -2.0 to 0.5, p = 0.22)] and then significantly increased [APC: 3.1 % (95 % CI: 2.6 to 3.6), p < 0.0001], especially in males [AAPC: 1.9 % (95 % CI: 1.4 to 2.4), p < 0.001 vs AAPC: 1.5 % (95 % CI: 1.1 to 2.2), p < 0.001]. AAMR increase was more pronounced in those <65 years, Black Americans, and residents of rural areas.

CONCLUSIONS

In an US population analysis, high-risk PE mortality rate increased, with racial, sex-based, and regional variations. Further studies are needed to understand root causes for these trends and to implement appropriate corrective strategies.

Does sex affect the risk of 30-day all-cause mortality in cardiogenic shock?

BACKGROUND

Mortality rates following CS have stagnated on an unacceptably high level. Limited data regarding the prognostic value of sex in patients suffering from CS is available. Therefore, this study aims to investigate the prognostic value of sex in patients with cardiogenic shock (CS).

METHODS

Consecutive patients with CS of any cause were included from 2019 to 2021. Prognosis of females was compared to males regarding 30-day all-cause mortality. Further risk stratification was performed according to the presence or absence of CS related to acute myocardial infarction (AMI). Kaplan-Meier and multivariable Cox proportional regression analyses were used for statistics.

RESULTS

From a total of 273 CS patients (AMI-CS: 49%; non-AMI-CS: 51%), 60% were males and 40% females. The risk of 30-day all-cause mortality did not differ among males and females (56% vs. 56%; log rank p = 0.775; HR = 1.046; 95% CI 0.756-1.447; p = 0.785). Even after multivariable adjustment, sex was not associated with prognosis in CS patients (HR = 1.057; 95% CI 0.713-1.564; p = 0.784). Comparable risks of short-term mortality in both sexes were observed irrespective of the presence of AMI-related CS (64.0% vs. 64.6%; log rank p = 0.642; HR = 1.103; 95% CI 0.710-1.713; p = 0.664) and non-AMI-related CS (46.2% vs. 49.2%; log rank p = 0.696; HR = 1.099; 95% CI 0.677-1.783; p = 0.704).

CONCLUSION

Sex was not associated with the risk of 30-day all-cause mortality in CS patients irrespective of CS etiology. (clinicaltrials.gov identifier: NCT05575856).

Atrial fibrillation/atrial flutter related mortality trends in the US population 2010-2020: Regional, racial, sex variations

BACKGROUND

There is an evolving need to evaluate atrial fibrillation/atrial flutter (AF/AFL) mortality trends across races, sexes, geographic regions and urbanization statuses to better understand management inequalities.

METHODS

This observational study utilized the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Mortality rates due to AF/AFL as underlying and contributing causes of death between 2010 and 2020 were investigated. Mortality trends due to AF/AFL as contributing causes of death for different races, sexes, census regions and urbanization statuses were analyzed using annual percentage change (APC), and Joinpoint regression analysis.

RESULTS

Mortality from AF/AFL as the underlying cause was increasing across the US until 2016 (APC 4.8%), followed by a plateau 2016-2020 (APC 0.0 %). Conversely, the mortality rate due to AF/AFL as a contributing cause increases 2010-2020 (APC 3.3%). The mortality rate in both sexes significantly increased in almost all groups, with the largest increase seen in Non-Hispanic Black males. Rural areas had a higher mortality rate (36.9 and 22.9 per 100,000 for males and females in 2020, respectively) and higher slope of increase than urban areas in total US population. Non-Hispanic White people had greater mortality than Non-Hispanic Black people; however, Non-Hispanic Black mortality rates are increasing at a faster rate in urban areas.

CONCLUSION

AF/AFL as the underlying cause of death has plateaued from 2016 across the US 2010-2020; whilst AF/AFL as contributing cause of death is increasing. Significant discrepancies in mortality rates are identified between races and urbanization status.