Cardiovascular

Characteristics of patients with obesity presenting with cardiac arrest and the potential role of cardioverter-defibrillator therapy: an analysis using the National Inpatient Sample database.

TL;DR

Obese patients presenting with cardiac arrest were more likely to be White men with greater comorbidity burden, with atrial fibrillation being a particularly dominant association with cardiac arrest, and significant disparities in ICD placement and mortality outcomes were identified based on socioeconomic status and race.

Key Findings

Atrial fibrillation was the strongest independent comorbidity associated with cardiac arrest in obese patients, with an odds ratio of 7.80.

  • Atrial fibrillation had an odds ratio of 7.80 (P < 0.001) for association with cardiac arrest in obese patients.
  • This association remained after adjustment for heart failure, suggesting atrial fibrillation is an independent risk factor.
  • Other comorbidities associated with cardiac arrest included hypertension, chronic ischemic heart disease, smoking, alcohol use, hyperthyroidism, congestive heart failure, and ventricular arrhythmias.
  • The analysis used multivariable logistic regression to identify factors associated with cardiac arrest.

Obese patients who presented with cardiac arrest were older, more likely to be White men, and had a greater burden of comorbidities compared to obese patients without cardiac arrest.

  • Mean age of obese patients with cardiac arrest was 63.2 ± 12.6 years versus 59.0 ± 15.2 years for those without cardiac arrest.
  • The total sample included 4,445,524 obese patients, of whom 88,770 presented with cardiac arrest and 4,356,754 did not.
  • Data were drawn from the National Inpatient Sample (NIS) database between 2016 and 2020.
  • Obesity was defined as BMI ≥ 30 and identified using ICD-10 codes.

Patients with private insurance and those treated at large, urban teaching hospitals had higher odds of being diagnosed with cardiac arrest and receiving ICD placement.

  • Individuals with private insurance were more likely to be diagnosed with cardiac arrest compared to those without private insurance.
  • Treatment at large, urban teaching hospitals was associated with both higher odds of cardiac arrest diagnosis and higher odds of ICD placement.
  • Males with private insurance and higher median household incomes (> $35,000) had higher odds of ICD placement in the setting of cardiac arrest associated with ventricular tachycardia and fibrillation.
  • These findings indicate disparities in healthcare access and treatment allocation based on socioeconomic status.

Obese patients with cardiac arrest experienced longer hospital stays, higher costs, and increased mortality compared to obese patients without cardiac arrest.

  • Individuals with private insurance and those treated at large, urban teaching hospitals were associated with longer hospital stays, higher costs, and increased mortality in the context of cardiac arrest.
  • Outcomes were evaluated using multivariable logistic regression.
  • Baseline characteristics and comorbidities were identified using relevant ICD-10 codes.

Obese individuals with advancing age and specific comorbidities who did not receive an ICD faced higher odds of mortality.

  • Comorbidities associated with higher odds of mortality without ICD placement included diabetes, obstructive lung disease, peripheral vascular disease, and renal and liver disease.
  • Advancing age was also associated with higher odds of mortality in the absence of ICD therapy.
  • These findings suggest a potential protective role of ICD therapy in high-risk obese patients with cardiac arrest.

Racial disparities in mortality were identified, with Asian, Pacific Islander, and Native American individuals without an ICD having higher odds of mortality compared to White patients.

  • Compared with White patients, Asian, Pacific Islander, and Native American individuals without an ICD had higher odds of mortality.
  • This finding highlights racial disparities in outcomes following cardiac arrest in the obese population.
  • The analysis was performed using multivariable logistic regression controlling for relevant confounders.

What This Means

This research suggests that among hospitalized patients with obesity, those who experienced cardiac arrest were older, more likely to be White men, and had more health problems such as high blood pressure, heart disease, heart failure, and irregular heart rhythms. Most strikingly, atrial fibrillation (an irregular heart rhythm) was strongly associated with cardiac arrest in obese patients even after accounting for heart failure, with nearly eight times the odds compared to obese patients without atrial fibrillation. Patients with cardiac arrest also tended to have longer hospital stays, higher medical costs, and worse survival outcomes. This research also highlights important disparities in who receives implantable cardioverter-defibrillators (ICDs), which are devices that can detect and correct dangerous heart rhythms. Patients with higher incomes, private insurance, and care at large urban teaching hospitals were more likely to receive an ICD after cardiac arrest involving dangerous heart rhythms. Meanwhile, obese patients who did not receive an ICD and had conditions like diabetes, kidney disease, liver disease, or lung disease faced higher odds of dying. Asian, Pacific Islander, and Native American patients without an ICD also had worse survival odds compared to White patients. These findings suggest that socioeconomic and racial gaps in access to life-saving therapies like ICDs exist among obese patients who survive cardiac arrest. The study underscores the need to better understand which obese patients are at highest risk for cardiac arrest—particularly those with atrial fibrillation—and to address inequities in who receives appropriate cardiac devices and care.

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Citation

Maliha M, Szasdi J, Seo J, Modak V, Kaushik S, Stecker E, et al.. (2026). Characteristics of patients with obesity presenting with cardiac arrest and the potential role of cardioverter-defibrillator therapy: an analysis using the National Inpatient Sample database.. Journal of cardiovascular medicine (Hagerstown, Md.). https://doi.org/10.2459/JCM.0000000000001906