Evidence map›Paper›PMID 33118840›Full record

ArticleJournal of intensive care medicine2022

Predictors of Delayed Recognition of Critical Illness in Emergency Department Patients and Its Effect on Morbidity and Mortality.

Neha N Goel, Matthew S Durst, Carmen Vargas-Torres, Lynne D Richardson, Kusum S Mathews

Abstract read
In one paragraph

Article in Journal of intensive care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
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

5 authors.

Neha N GoelDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0001-7295-2033
Matthew S DurstDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, Northwell Health, 232890Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Carmen Vargas-TorresDepartment of Emergency Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Lynne D RichardsonDepartment of Emergency Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kusum S MathewsDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Mount Sinai Clinician Scientist Training Program in Emergency Care ResearchT32HL129974 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RICHARDSON, LYNNE D. · 2016 to 2020
$2.3M
Mount Sinai Clinician Scientist Training Program in Emergency Care ResearchT32HL160513 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Lynne D. Richardson · 2022 to 2026
$2.2M
Optimizing ED to ICU triage decisions for critically ill patients in respiratory distressK23HL130648 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MATHEWS, KUSUM SARA · 2016 to 2021
$744k
NHLBI NIH HHS K23 HL130648NHLBI NIH HHS T32 HL129974NHLBI NIH HHS T32 HL160513
6 · The paper itself

Abstract

purposeTimely recognition of critical illness is associated with improved outcomes, but is dependent on accurate triage, which is affected by system factors such as workload and staffing. We sought to first study the effect of delayed recognition on patient outcomes after controlling for system factors and then to identify potential predictors of delayed recognition.

methodsWe conducted a retrospective cohort study of Emergency Department (ED) patients admitted to the Intensive Care Unit (ICU) directly from the ED or within 48 hours of ED departure. Cohort characteristics were obtained through electronic and standardized chart abstraction. Operational metrics to estimate ED workload and volume using census data were matched to patients' ED stays. Delayed recognition of critical illness was defined as an absence of an ICU consult in the ED or declination of ICU admission by the ICU team. We employed entropy-balanced multivariate models to examine the association between delayed recognition and development of persistent organ dysfunction and/or death by hospitalization day 28 (POD+D), and multivariable regression modeling to identify factors associated with delayed recognition.

resultsIncreased POD+D was seen for those with delayed recognition (OR 1.82, 95% CI 1.13-2.92). When the delayed recognition was by the ICU team, the patient was 2.61 times more likely to experience POD+D compared to those for whom an ICU consult was requested and were accepted for admission. Lower initial severity of illness score (OR 0.26, 95% CI 0.12-0.53) was predictive of delayed recognition. The odds for delayed recognition decreased when ED workload is higher (OR 0.45, 95% CI 0.23-0.89) compared to times with lower ED workload.

conclusionsIncreased POD+D is associated with delayed recognition. Patient and system factors such as severity of illness and ED workload influence the odds of delayed recognition of critical illness and need further exploration.

Indexed as

Critical IllnessEmergency Service, HospitalHospital MortalityHumansIntensive Care UnitsLength of StayMorbidityRetrospective StudiesTime Factorscritically illED boardingED crowdingemergency department (ED)time-to-treatment

Identifiers

PMID33118840
PMCPMC8081733

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.