Evidence map›Paper›PMID 28958349›Full record

ArticleJACC. Heart failure2017

Variation in Do-Not-Resuscitate Orders and Implications for Heart Failure Risk-Adjusted Hospital Mortality Metrics.

Jeffrey Bruckel, Anuj Mehta, Steven M Bradley, Sabu Thomas, Charles J Lowenstein, Brahmajee K Nallamothu, Allan J Walkey

Abstract read
In one paragraph

Article in JACC. Heart failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jeffrey BruckelDivision of Cardiovascular Medicine, University of Rochester Medical Center, Rochester, New York. Electronic address: jeffrey.bruckel@gmail.com.
Anuj MehtaDivision of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health System, Denver, Colorado.
Steven M BradleyMinneapolis Heart Institute, Minneapolis, Minnesota.
Sabu ThomasDivision of Cardiovascular Medicine, University of Rochester Medical Center, Rochester, New York.
Charles J LowensteinDivision of Cardiovascular Medicine, University of Rochester Medical Center, Rochester, New York.
Brahmajee K NallamothuDivision of Cardiovascular Medicine, University of Michigan Health System, Ann Arbor, Michigan; Michigan Integrated Center for Health Analytics and Medical Prediction, Ann Arbor, Michigan; Ann Arbor Veterans Affairs Center for Clinical Management and Research, Ann Arbor, Michigan.
Allan J WalkeyDivision of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Boston University Medical Center, Boston, Massachusetts.

Funding

Hospital Enhancement of Resuscitation Outcomes for In-Hospital Cardiac Arrest (HER01HL123980 · NHLBI · SAINT LUKE'S HOSPITAL · PI CHAN, PAUL SHEUNG-YAN, NALLAMOTHU, BRAHMAJEE K · 2014 to 2018
$2.7M
Developing a Novel Decision Aid for Tracheostomy to Support Shared Decision-Making in the Intensive Care UnitK23HL141704 · NHLBI · NATIONAL JEWISH HEALTH · PI MEHTA, ANUJ · 2019 to 2023
$818k
Atrial Fibrillation in Sepsis: Patient Outcomes and Provider Practice PatternsK01HL116768 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2013 to 2017
$742k
NHLBI NIH HHS K01 HL116768NHLBI NIH HHS K23 HL141704NHLBI NIH HHS R01 HL123980
6 · The paper itself

Abstract

objectivesThis study evaluated the effect of patient do-not-resuscitate (DNR) status on hospital risk-adjusted heart failure mortality metrics.

backgroundDo-not-resuscitate orders limit the use of life-sustaining therapies. Patients with DNR orders have increased in-hospital mortality, and DNR rates vary among hospitals. Variations in DNR rates could strongly confound risk-adjusted hospital mortality rates for heart failure.

methodsWe identified a cohort of adults with primary diagnosis of heart failure by using the 2011 California State Inpatient Database, a claims database that captures "early DNR," within 24 h of admission. Hospital-level risk-standardized in-hospital mortality was determined using random effects logistic regression. We explored changes in outlier status in models with and without early DNR status.

resultsAmong 55,865 patients from 290 hospitals hospitalized with heart failure, 12.1% (11.8% to 12.4%) had an early DNR order. Hospitals with higher risk-standardized DNR rates had higher risk-standardized mortality (ρ = 0.241; 95% confidence interval [CI]: 0.129 to 0.346; p < 0.001). Including DNR in models used to benchmark hospital mortality improved model performance (c-statistic from 0.821 [95% CI: 0.812 to 0.830] to 0.845 [95% CI: 0.837 to 0.853]; increased model explanatory power by 17%). Including DNR resulted in reclassification of 9.3% of hospitals' outlier status. Agreement in hospital outlier designation between models with and without DNR was low to moderate (kappa coefficient: 0.492; 95% CI: 0.331 to 0.654).

conclusionsAccounting for DNR status resulted in a change in estimated risk-standardized mortality rates and classification of hospitals as performance "outliers." Given public reporting of heart failure mortality measurements and their influence on reimbursement, accounting for the presence of early DNR orders in quality measures should be considered.

Indexed as

Hospital MortalityHospitalsResuscitation OrdersRisk AdjustmentAgedAged, 80 and overCaliforniaCohort StudiesDatabases, FactualFemaleHeart FailureHumansLogistic ModelsMaleMiddle AgedCenters for Medicare and Medicaid ServicesHealthcare Cost and Utilization Projectstate inpatient databasevalue-based purchasing

Identifiers

PMID28958349
PMCPMC7552359

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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.