Evidence map›Paper›PMID 29461429›Full record

ArticlePediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2018

Hospital Variation in Risk-Adjusted Pediatric Sepsis Mortality.

Stefanie G Ames, Billie S Davis, Derek C Angus, Joseph A Carcillo, Jeremy M Kahn

Abstract read
In one paragraph

Article in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Long-Term Mortality and Morbidity After Pediatric Sepsis.Open forum infectious diseases · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Stefanie G AmesCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Billie S DavisCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Derek C AngusCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Joseph A CarcilloCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Jeremy M KahnCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Funding

Inflammation Phenotypes in Pediatric Sepsis Induced Multiple Organ Failure RenewalR01GM108618 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOSEPH A CARCILLO · 2014 to 2026
$5.4M
Novel approaches to profiling hospitals on critical illness mortalityR01HL126694 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAHN, JEREMY M · 2015 to 2017
$1.1M
Patient Oriented Research and Mentoring in Critical Care Implementation ScienceK24HL133444 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAHN, JEREMY M · 2016 to 2018
$348k
NHLBI NIH HHS K24 HL133444NHLBI NIH HHS R01 HL126694NIGMS NIH HHS R01 GM108618
6 · The paper itself

Abstract

objectivesWith continued attention to pediatric sepsis at both the clinical and policy levels, it is important to understand the quality of hospitals in terms of their pediatric sepsis mortality. We sought to develop a method to evaluate hospital pediatric sepsis performance using 30-day risk-adjusted mortality and to assess hospital variation in risk-adjusted sepsis mortality in a large state-wide sample.

designRetrospective cohort study using administrative claims data. SETTINGS: Acute care hospitals in the state of Pennsylvania from 2011 to 2013. PATIENTS: Patients between the ages of 0-19 years admitted to a hospital with sepsis defined using validated International Classification of Diseases, Ninth revision, Clinical Modification, diagnosis and procedure codes.

interventionsNone. MEASUREMENTS AND MAIN

resultsDuring the study period, there were 9,013 pediatric sepsis encounters in 153 hospitals. After excluding repeat visits and hospitals with annual patient volumes too small to reliably assess hospital performance, there were 6,468 unique encounters in 24 hospitals. The overall unadjusted mortality rate was 6.5% (range across all hospitals: 1.5-11.9%). The median number of pediatric sepsis cases per hospital was 67 (range across all hospitals: 30-1,858). A hierarchical logistic regression model for 30-day risk-adjusted mortality controlling for patient age, gender, emergency department admission, infection source, presence of organ dysfunction at admission, and presence of chronic complex conditions showed good discrimination (C-statistic = 0.80) and calibration (slope and intercept of calibration plot: 0.95 and -0.01, respectively). The hospital-specific risk-adjusted mortality rates calculated from this model varied minimally, ranging from 6.0% to 7.4%.

conclusionsAlthough a risk-adjustment model for 30-day pediatric sepsis mortality had good performance characteristics, the use of risk-adjusted mortality rates as a hospital quality measure in pediatric sepsis is not useful due to the low volume of cases at most hospitals. Novel metrics to evaluate the quality of pediatric sepsis care are needed.

Indexed as

Hospital MortalityRisk AdjustmentAdolescentBenchmarkingChildChild, PreschoolDatabases, FactualFemaleHealthcare DisparitiesHumansInfantInfant, NewbornLogistic ModelsMalePennsylvaniaQuality Indicators, Health Care

Identifiers

PMID29461429
PMCPMC5935525

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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.