Evidence map›Paper›PMID 34234902›Full record

ArticleJournal of community hospital internal medicine perspectives2021

A simple ABCD score to stratify patients with respect to the probability of survival following in-hospital cardiopulmonary resuscitation.

William R Swindell, Christopher G Gibson

Abstract read
In one paragraph

Article in Journal of community hospital internal medicine perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

2 authors.

William R SwindellDepartment of Internal Medicine, The Jewish Hospital, Cincinnati, Ohio, USA.
Christopher G GibsonDepartment of Internal Medicine, Fairfield Medical Center, Lancaster, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiopulmonary resuscitation (CPR) is occurring more frequently at community hospitals but most patients undergoing CPR do not survive to discharge. Tools to predict CPR survival can be improved by the identification of high-yield clinical indicators.

objectiveTo identify variables associated with survival to discharge following in-hospital cardiac arrest.

methodsRetrospective cohort study of 463,530 hospital admissions from the Nationwide Inpatient Sample (2012-2016). The analysis includes adults (age ≥50) who underwent in-hospital CPR at US community hospitals.

resultsOverall survival to discharge was 29.8% (95% CI: 29.5-30.1%). Age was the strongest predictor of survival and had greater prognostic value than the Charlson comorbidity index. Obesity was associated with improved survival (35.9%, 95% CI: 35.1-36.7%), whereas underweight patients had decreased survival (24.0%, 95% CI: 22.2-25.7%). Acute indicators of poor survival included hyperkalemia, hypercalcemia, and sepsis. We generated an ABCD index based upon four high-yield variables (age, body habitus, comorbidity, day of hospital admission). An ABCD score of 2 or less was a sensitive but non-specific predictor of post-CPR survival (96.8% sensitivity, 95% CI: 96.6-97.0), and those with extreme scores differed 3.8-fold with respect to post-CPR survival probability (46.0% versus 12.1%).

conclusionAge is the strongest predictor of post-CPR survival, but body habitus is also an important indicator that may currently be underutilized. Our results support improved post-CPR survival of obese patients, consistent with an 'obesity paradox'. The ABCD score provides an efficient means of risk-stratifying patients and can be calculated in less than 1 minute.

Indexed as

Decision makingend-of-life careevidence-based medicinegeriatricsprognostic factors

Identifiers

PMID34234902
PMCPMC8118500

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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.