Evidence map›Paper›PMID 37366012›Full record

Observational studyPediatrics2023

Frequency of and Risk Factors Associated With Hospital Readmission After Sepsis.

Hannah S Dashefsky, Hongyan Liu, Katie Hayes, Heather Griffis, Melissa Vaughan, Marianne Chilutti, Fran Balamuth, Hannah R Stinson, Julie C Fitzgerald, Erin F Carlton and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Observational
  4. Article
  5. Article
  6. Review
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

11 authors at 3 institutions in 1 country.

Hannah S DashefskyDepartments of Anesthesiology and Critical Care.
Hongyan LiuData Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Katie HayesPediatric Sepsis Program.
Heather GriffisData Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Melissa VaughanDepartments of Anesthesiology and Critical Care.
Marianne ChiluttiBiomedical and Health Informatics.
Fran BalamuthPediatrics.
Hannah R StinsonDepartments of Anesthesiology and Critical Care.
Julie C FitzgeraldDepartments of Anesthesiology and Critical Care.
Erin F CarltonDivision of Critical Care Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Scott L WeissDepartments of Anesthesiology and Critical Care.
Children's Hospital of Philadelphia · USPhiladelphia University · USUniversity of Michigan–Ann Arbor · US

Funding

Pediatric septic acute kidney injury: personalizing antibiotic dosing through understanding acute kidney injury risk factors and biomarker profilesK23DK119463 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI FITZGERALD, JULIE C. HOLLOWS · 2020 to 2024
$810k
NIDDK NIH HHS K23 DK119463
6 · The paper itself

Abstract

objectivesAlthough children who survive sepsis are at risk for readmission, identification of patient-level variables associated with readmission has been limited by administrative datasets. We determined frequency and cause of readmission within 90 days of discharge and identified patient-level variables associated with readmission using a large, electronic health record-based registry.

methodsThis retrospective observational study included 3464 patients treated for sepsis or septic shock between January 2011 and December 2018 who survived to discharge at a single academic children's hospital. We determined frequency and cause of readmission through 90 days post-discharge and identified patient-level variables associated with readmission. Readmission was defined as inpatient treatment within 90 days post-discharge from a prior sepsis hospitalization. Outcomes were frequency of and reasons for 7-, 30-, and 90-day (primary) readmission. Patient variables were tested for independent associations with readmission using multivariable logistic regression.

resultsFollowing index sepsis hospitalization, frequency of readmission at 7, 30, and 90 days was 7% (95% confidence interval 6%-8%), 20% (18%-21%), and 33% (31%-34%). Variables independently associated with 90-day readmission were age ≤ 1 year, chronic comorbid conditions, lower hemoglobin and higher blood urea nitrogen at sepsis recognition, and persistently low white blood cell count ≤ 2 thous/µL. These variables explained only a small proportion of overall risk (pseudo-R2 range 0.05-0.13) and had moderate predictive validity (area under the receiver operating curve range 0.67-0.72) for readmission.

conclusionsChildren who survive sepsis were frequently readmitted, most often for infections. Risk for readmission was only partly indicated by patient-level variables.

Indexed as

Patient ReadmissionSepsisAftercareChildHumansPatient DischargeRetrospective StudiesRisk Factors

Identifiers

PMID37366012
PMCPMC10553743
OpenAlexW4382181344

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.