Evidence map›Paper›PMID 29239980›Full record

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

Derivation and Internal Validation of a Mortality Prediction Tool for Initial Survivors of Pediatric In-Hospital Cardiac Arrest.

Mathias J Holmberg, Ari Moskowitz, Tia T Raymond, Robert A Berg, Vinay M Nadkarni, Alexis A Topjian, Anne V Grossestreuer, Michael W Donnino, Lars W Andersen, American Heart Association’s Get With The Guidelines-Resuscitation Investigators

Abstract readObservational StudyValidation Study
In one paragraph

Observational study 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
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  9. Observational
  10. Role of Big Data in Cardiovascular Research.Journal of the American Heart Association · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Mathias J HolmbergCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Ari MoskowitzDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Tia T RaymondDivision of Cardiac Critical Care, Department of Pediatrics, Medical City Children's Hospital, Dallas, TX.
Robert A BergDepartment of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Philadelphia, PA.
Vinay M NadkarniDepartment of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Philadelphia, PA.
Alexis A TopjianDepartment of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Philadelphia, PA.
Anne V GrossestreuerCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Michael W DonninoCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Lars W AndersenCenter for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
American Heart Association’s Get With The Guidelines-Resuscitation Investigators

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Thaimine as an adjunct metabolic resuscitator in cardiac arrestK24HL127101 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DONNINO, MICHAEL WILLIAM · 2015 to 2024
$1.2M
Prompt Diagnosis and Treatment of Subclinical Seizures After Cardiac ArrestK23NS075363 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI TOPJIAN, ALEXIS A. · 2012 to 2016
$874k
NCATS NIH HHS UL1 TR001102NHLBI NIH HHS K24 HL127101NINDS NIH HHS K23 NS075363
6 · The paper itself

Abstract

objectivesTo develop a clinical prediction score for predicting mortality in children following return of spontaneous circulation after in-hospital cardiac arrest.

designObservational study using prospectively collected data.

settingThis was an analysis using data from the Get With The Guidelines-Resuscitation registry between January 2000 and December 2015. PATIENTS: Pediatric patients (< 18 yr old) who achieved return of spontaneous circulation.

interventionsNone. MEASUREMENTS AND MAIN

resultsThe primary outcome was in-hospital mortality. Patients were divided into a derivation (3/4) and validation (1/4) cohort. A prediction score was developed using a multivariable logistic regression model with backward selection. Patient and event characteristics for the derivation cohort (n = 3,893) and validation cohort (n = 1,297) were similar. Seventeen variables associated with the outcome remained in the final reduced model after backward elimination. Predictors of in-hospital mortality included age, illness category, pre-event characteristics, arrest location, day of the week, nonshockable pulseless rhythm, duration of chest compressions, and interventions in place at time of arrest. The C-statistic for the final score was 0.77 (95% CI, 0.75-0.78) in the derivation cohort and 0.77 (95% CI, 0.74-0.79) in the validation cohort. The expected versus observed mortality plot indicated good calibration in both the derivation and validation cohorts. The score showed a stepwise increase in mortality with an observed mortality of less than 15% for scores 0-9 and greater than 80% for scores greater than or equal to 25. The model also performed well for neurologic outcome and in sensitivity analyses for events within the past 5 years and for patients with or without a pulse at the onset of chest compressions.

conclusionsWe developed and internally validated a prediction score for initial survivors of pediatric in-hospital cardiac arrest. This prediction score may be useful for prognostication following cardiac arrest, stratifying patients for research, and guiding quality improvement initiatives.

Indexed as

Hospital MortalityAdolescentCardiopulmonary ResuscitationChildChild, PreschoolFemaleHeart ArrestHospitals, PediatricHumansInfantInfant, NewbornMaleModels, TheoreticalRegistriesRisk AssessmentSurvivors

Identifiers

PMID29239980
PMCPMC5834369

What OpenQuestion holds

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Registered trials

None linked

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.