Evidence map›Paper›PMID 26959348›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 Societies2016

PICU Volume and Outcome: A Severity-Adjusted Analysis.

Barry P Markovitz, Irina Kukuyeva, Gerardo Soto-Campos, Robinder G Khemani

Open access · greenAbstract 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, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Review
  3. Outcomes of Children With Firearm Injuries Admitted to the PICU in the United States.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2021
    Article
  4. Article
  5. An Assessment of Clinical and System Drivers of Family Satisfaction in the PICU.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Observational
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Observational
  11. PICU Volume and Outcome: A Severity-Adjusted Analysis.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2016
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Barry P Markovitz1Departments of Pediatrics and Anesthesiology Critical Care Medicine, Children's Hospital Los Angeles, University of Southern California Keck School of Medicine, Los Angeles, CA. 2VPS, LLC, Los Angeles, CA.
Irina Kukuyeva
Gerardo Soto-Campos
Robinder G Khemani
Children's Hospital of Los Angeles · US

Funding

Minimally invasive techniques to measure upper airway obstruction in childrenK23HD075069 · NICHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KHEMANI, ROBINDER · 2012 to 2016
$668k
NICHD NIH HHS K23 HD075069
6 · The paper itself

Abstract

objectivesTo determine the relationship between PICU volume and severity-adjusted mortality in a large, national dataset.

designRetrospective cohort study.

settingThe VPS database (VPS, LLC, Los Angeles, CA), a national multicenter clinical PICU database. PATIENTS: All patients with discharge dates between September 2009 and March 2012 and valid Pediatric Index of Mortality 2 and Pediatric Risk of Mortality III scores, who were not transferred to another ICU and were seen in an ICU that collected at least three quarters of data.

interventionsNone. MEASUREMENTS AND MAIN

resultsAnonymized data received included ICU mortality, hospital and patient demographics, and Pediatric Index of Mortality 2 and Pediatric Risk of Mortality III scores. PICU volume/quarter was determined (VPS sites submit data quarterly) per PICU and was divided by 100 to assess the impact per 100 discharges per quarter (volume). A mixed-effects logistic regression model accounting for repeated measures of patients within ICUs was performed to assess the association of volume on severity-adjusted mortality, adjusting for patient and unit characteristics. Multiplicative interactions between volume and severity of illness were also modeled. We analyzed 186,643 patients from 92 PICUs, with an overall ICU mortality rate of 2.6%. Volume ranged from 0.24 to 8.89 per ICU per quarter; the mean volume was 2.61. The mixed-effects logistic regression model found a small but nonlinear relationship between volume and mortality that varied based on the severity of illness. When severity of illness is low, there is no clear relationship between volume and mortality up to a Pediatric Index of Mortality 2 risk of mortality of 10%; for patients with a higher severity of illness, severity of illness-adjusted mortality is directly proportional to a unit's volume.

conclusionsFor patients with low severity of illness, ICU volume is not associated with mortality. As patient severity of illness rises, higher volume units have higher severity of illness-adjusted mortality. This may be related to differences in quality of care, issues with unmeasured confounding, or calibration of existing severity of illness scores.

Indexed as

Hospital MortalityAdolescentChildChild, PreschoolCritical IllnessDatabases, FactualFemaleHospitals, High-VolumeHospitals, Low-VolumeHumansInfantInfant, NewbornIntensive Care Units, PediatricLogistic ModelsMaleRetrospective Studies

Identifiers

PMID26959348
PMCPMC5215123
OpenAlexW2293406959

What OpenQuestion holds

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Registered trials

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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.