Literature DB >> 33118840

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

Neha N Goel1, Matthew S Durst2, Carmen Vargas-Torres3, Lynne D Richardson3,4, Kusum S Mathews1,3.   

Abstract

PURPOSE: Timely 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.
METHODS: We 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.
RESULTS: Increased 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.
CONCLUSIONS: Increased 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.

Entities:  

Keywords:  ED boarding; ED crowding; critically ill; emergency department (ED); time-to-treatment

Mesh:

Year:  2020        PMID: 33118840      PMCID: PMC8081733          DOI: 10.1177/0885066620967901

Source DB:  PubMed          Journal:  J Intensive Care Med        ISSN: 0885-0666            Impact factor:   3.510


  31 in total

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Journal:  J Crit Care       Date:  2019-05-29       Impact factor: 3.425

2.  Nurse-staffing levels and the quality of care in hospitals.

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Authors:  J B Dimick; P J Pronovost; R F Heitmiller; P A Lipsett
Journal:  Crit Care Med       Date:  2001-04       Impact factor: 7.598

4.  Intensive care unit bed availability and outcomes for hospitalized patients with sudden clinical deterioration.

Authors:  Henry T Stelfox; Brenda R Hemmelgarn; Sean M Bagshaw; Song Gao; Christopher J Doig; Cheri Nijssen-Jordan; Braden Manns
Journal:  Arch Intern Med       Date:  2012-03-12

5.  Volume of activity and occupancy rate in intensive care units. Association with mortality.

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Journal:  Intensive Care Med       Date:  2003-12-19       Impact factor: 17.440

6.  Inpatient transfers to the intensive care unit: delays are associated with increased mortality and morbidity.

Authors:  Michael P Young; Valerie J Gooder; Karen McBride; Brent James; Elliott S Fisher
Journal:  J Gen Intern Med       Date:  2003-02       Impact factor: 5.128

7.  Effect of Emergency Department and ICU Occupancy on Admission Decisions and Outcomes for Critically Ill Patients.

Authors:  Kusum S Mathews; Matthew S Durst; Carmen Vargas-Torres; Ashley D Olson; Madhu Mazumdar; Lynne D Richardson
Journal:  Crit Care Med       Date:  2018-05       Impact factor: 7.598

8.  Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis.

Authors:  David L Edbrooke; Cosetta Minelli; Gary H Mills; Gaetano Iapichino; Angelo Pezzi; Davide Corbella; Philip Jacobs; Anne Lippert; Joergen Wiis; Antonio Pesenti; Nicolo Patroniti; Romain Pirracchio; Didier Payen; Gabriel Gurman; Jan Bakker; Jozef Kesecioglu; Chris Hargreaves; Simon L Cohen; Mario Baras; Antonio Artigas; Charles L Sprung
Journal:  Crit Care       Date:  2011-02-09       Impact factor: 9.097

9.  Influence of ICU-bed availability on ICU admission decisions.

Authors:  René Robert; Rémi Coudroy; Stéphanie Ragot; Olivier Lesieur; Isabelle Runge; Vincent Souday; Arnaud Desachy; Jean-Paul Gouello; Michel Hira; Mouldi Hamrouni; Jean Reignier
Journal:  Ann Intensive Care       Date:  2015-12-30       Impact factor: 6.925

10.  Does space make waste? The influence of ICU bed capacity on admission decisions.

Authors:  Esteban Mery; Jeremy M Kahn
Journal:  Crit Care       Date:  2013-05-08       Impact factor: 9.097

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  1 in total

1.  Factors contributing to delay intensive care unit admission of critically ill patients from the adult emergency Department in Tikur Anbessa Specialized Hospital.

Authors:  Helen Teklie; Hywet Engida; Birhanu Melaku; Abdata Workina
Journal:  BMC Emerg Med       Date:  2021-10-26
  1 in total

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