Evidence map›Paper›PMID 39029583›Full record

ArticleResuscitation2024

Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry.

Rohan Khera, Arya Aminorroaya, Kevin F Kennedy, Paul S Chan, American Heart Association’s Get With The Guidelines®-Resuscitation Investigators

Abstract read
In one paragraph

Article in Resuscitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rohan KheraSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA.
Arya AminorroayaSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Kevin F KennedySaint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Paul S ChanSaint Luke's Mid America Heart Institute, Kansas City, MO, USA; University of Missouri-Kansas City, Kansas City, MO, USA. Electronic address: pchan@saint-lukes.org.
American Heart Association’s Get With The Guidelines®-Resuscitation Investigators

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Reducing Ethnic-racial Disparities in Cardiac Arrest Survival Outcomes (RED-CASO)R01HL160734 · NHLBI · SAINT LUKE'S HOSPITAL · PI CHAN, PAUL SHEUNG-YAN, GIROTRA, SAKET · 2022 to 2025
$2.6M
Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular CareR01HL167858 · NHLBI · YALE UNIVERSITY · PI Rohan Khera · 2024 to 2026
$2.3M
Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health RecordK23HL153775 · NHLBI · YALE UNIVERSITY · PI KHERA, ROHAN · 2021 to 2025
$918k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL153775NHLBI NIH HHS R01 HL160734NHLBI NIH HHS R01 HL167858
6 · The paper itself

Abstract

aimGiven challenges in collecting long-term outcomes for survivors of in-hospital cardiac arrest (IHCA), most studies have focused on in-hospital survival. We evaluated the correlation between a hospital's risk-standardized survival rate (RSSR) at hospital discharge for IHCA with its RSSR for long-term survival.

methodsWe identified patients ≥65 years of age with IHCA at 472 hospitals in Get With The Guidelines®-Resuscitation registry during 2000-2012, who could be linked to Medicare files to obtain post-discharge survival data. We constructed hierarchical logistic regression models to compute RSSR at discharge, and 30-day, 1-year, and 3-year RSSRs for each hospital. The association between in-hospital and long-term RSSR was evaluated with weighted Kappa coefficients.

resultsAmong 56,231 Medicare beneficiaries (age 77.2 ± 7.5 years and 25,206 [44.8%] women), 10,536 (18.7%) survived to discharge and 8,485 (15.1%) survived to 30 days after discharge. Median in-hospital, 30-day, 1-year, and 3-year RSSRs were 18.6% (IQR, 16.7-20.4%), 14.9% (13.2-16.7%), 10.3% (9.1-12.1%), and 7.6% (6.8-8.8%), respectively. The weighted Kappa coefficient for the association between a hospital's RSSR at discharge with its 30-day, 1-year, and 3-year RSSRs were 0.72 (95% CI, 0.68-0.76), 0.56 (0.50-0.61), and 0.47 (0.41-0.53), respectively.

conclusionsThere was a strong correlation between a hospital's RSSR at discharge and its 30-day RSSR for IHCA, although this correlation weakens over time. Our findings suggest that a hospital's RSSR at discharge for IHCA may be a reasonable surrogate of its 30-day post-discharge survival and could be used by Medicare to benchmark hospital performance for this condition without collecting 30-day survival data.

Indexed as

Cardiopulmonary ResuscitationHeart ArrestPatient DischargeRegistriesAgedAged, 80 and overFemaleHospital MortalityHumansMaleMedicareSurvival RateUnited StatesAdvanced Cardiac Life SupportCardiopulmonary ResuscitationHeart ArrestOutcome and Process Assessment, Health CareQuality of Health CareSurvival Rate

Identifiers

PMID39029583
PMCPMC11390317

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.