Outcomes of In-hospital Cardiac Arrest: Insights from a Medical Intensive Care Unit
Kailasam, K.; Krishnan, S.; Han, X.; Wang, X.
Show abstract
BackgroundCritically ill patients admitted to intensive care units (ICU) usually suffer from life-threatening illnesses, and many are hemodynamically unstable. The incidence of cardiac arrest in the ICU is approximately 22 per 1000 admissions, and survival to discharge after in-hospital cardiac arrest (IHCA) is approximately 14%. Variables associated with IHCA survival are poorly understood and the outcomes of cardiopulmonary resuscitation (CPR) in the ICU are poorly reported in the literature. We investigated the characteristics of IHCA and factors that are associated with poor IHCA survival. ResultsAfter adjusting for age, APACHE III score, and initial rhythm, every one-minute increase in CPR duration was associated with 1.161 (95% CI 1.119-1.204; p<0.0001) odds of death during resuscitation and 1.154 (95% CI 1.059-1.258; p<0.0001) odds of death at the time of ICU discharge. Hospital survivors had a lower APACHE III score (Mean=88.3, SD 29.8, IQR 66-106) and acute physiology score (Mean=75, SD 30, IQR 56-94) compared to non-survivors. Hospital survivors were also more likely than non-survivors to have a shockable rhythm at the time of arrest (20% versus 7.5%), shorter average CPR duration (5.4 minutes versus 12.8 minutes), longer length of ICU stay (14 days versus 1.8 days) and longer length of hospital stay (25 days versus 6.1 days). ConclusionBased on our retrospective analysis, we conclude that the odds of IHCA mortality is directly proportional to the duration of CPR regardless of age, initial rhythm, and severity of underlying illness.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Predicting factors for long-term survival in patients with out-of-hospital cardiac arrest - a propensity score-matched analysis 96%
- Admission criteria in critically ill COVID-19 patients: a physiology-based approach 95%
- Identifying predictors and determining mortality rates of septic cardiomyopathy and sepsis-related cardiogenic shock: A retrospective, observational study 95%
Similar papers in this journal
- Effectiveness of an Impella versus intra-aortic balloon pump in patients who received extracorporeal membrane oxygenation 93%
- Smartwatch Facilitated Remote Health Care for Patients Undergoing Transcatheter Aortic Valve Replacement Amid COVID-19 Pandemic 93%
- Cardiomyopathy in patients with acute ischemic stroke and methamphetamine use: Relevance for cardioembolic stroke and outcome 92%
Similar papers in this journal
- Vascular Comorbidities Worsen Prognosis of Patients with Heart Failure Hospitalized with COVID-19 95%
- Machine learning approaches to predict 30-day mortality following percutaneous coronary intervention in an Australian population 94%
- Prognostic significance of BMI after PCI treatment in ST-elevation myocardial infarction A cohort study from the Swedish Coronary Angiography and Angioplasty Registry 91%
Similar papers in this journal
- Performance of digital Early Warning Score (NEWS2) in a cardiac specialist setting: retrospective cohort study 96%
- Troponin Is Independently Associated With Death In Patients With COVID: A Retrospective Study 95%
- Exploring Associations with Severe Hypoxemic Respiratory Failure in COVID-19 Patients upon Admission: A Model for Severe Hypoxemic Respiratory Failure in 329 Unvaccinated, Hospitalized COVID-19 Patients 95%
Similar papers in this journal
- Application of severity classification after return of spontaneous circulation for predicting long-term outcomes in cardiac arrest survivors 96%
- Inpatient Outcomes Of Mechanical Circulatory Support Devices and Bridging to Transplantation in Hypertrophic Cardiomyopathy 93%
- Temporal Variations in Ischemic and Bleeding Event Risks after Acute Coronary Syndrome during Dual Antiplatelet Therapy 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.