Literature DB >> 18431260

The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation.

Ognjen Gajic1, Michael Malinchoc, Thomas B Comfere, Marcelline R Harris, Ahmed Achouiti, Murat Yilmaz, Marcus J Schultz, Rolf D Hubmayr, Bekele Afessa, J Christopher Farmer.   

Abstract

OBJECTIVE: Unplanned readmission of hospitalized patients to an intensive care unit (ICU) is associated with a worse outcome, but our ability to identify who is likely to deteriorate after ICU dismissal is limited. The objective of this study is to develop and validate a numerical index, named the Stability and Workload Index for Transfer, to predict ICU readmission.
DESIGN: In this prospective cohort study, risk factors for ICU readmission were identified from a broad range of patients' admission and discharge characteristics, specific ICU interventions, and in-patient workload measurements. The prediction score was validated in two independent ICUs.
SETTING: One medical and one mixed medical-surgical ICU in two tertiary centers. PATIENTS: Consecutive patients requiring >24 hrs of ICU care.
INTERVENTIONS: None. MEASUREMENTS: Unplanned ICU readmission or unexpected death following ICU dismissal.
RESULTS: In a derivation cohort of 1,131 medical ICU patients, 100 patients had unplanned readmissions, and five died unexpectedly in the hospital following ICU discharge. Predictors of readmission/unexpected death identified in a logistic regression analysis were ICU admission source, ICU length of stay, and day of discharge neurologic (Glasgow Coma Scale) and respiratory (hypoxemia, hypercapnia, or nursing requirements for complex respiratory care) impairment. The Stability and Workload Index for Transfer score predicted readmission more precisely (area under the curve [AUC], 0.75; 95% confidence interval [CI], 0.70-0.80) than the day of discharge Acute Physiology and Chronic Health Evaluation III score (AUC, 0.62; 95% CI, 0.56-0.68). In the two validation cohorts, the Stability and Workload Index for Transfer score predicted readmission similarly in a North American medical ICU (AUC, 0.74; 95% CI, 0.67-0.80) and a European medical-surgical ICU (AUC, 0.70; 95% CI, 0.64-0.76), but was less well calibrated in the medical-surgical ICU.
CONCLUSION: The Stability and Workload Index for Transfer score is derived from information readily available at the time of ICU dismissal and acceptably predicts ICU readmission. It is not known if discharge decisions based on this prediction score will decrease the number of ICU readmissions and/or improve outcome.

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Year:  2008        PMID: 18431260     DOI: 10.1097/CCM.0B013E318164E3B0

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  42 in total

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2.  Frequency, characteristics, and outcomes of pediatric patients readmitted to the cardiac critical care unit.

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3.  Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

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5.  Readmission to medical intensive care units: risk factors and prediction.

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7.  Readmissions and deaths following ICU discharge: a challenge for intensive care.

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8.  Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.

Authors:  David G Coughlin; Monisha A Kumar; Neha N Patel; Rebecca L Hoffman; Scott E Kasner
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

9.  An empirical comparison of key statistical attributes among potential ICU quality indicators.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Scott D Halpern
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

10.  Ward mortality after ICU discharge: a multicenter validation of the Sabadell score.

Authors:  Rafael Fernandez; Jose Manuel Serrano; Isabel Umaran; Ricard Abizanda; Andres Carrillo; Maria Jesus Lopez-Pueyo; Pedro Rascado; Begoña Balerdi; Borja Suberviola; Gonzalo Hernandez
Journal:  Intensive Care Med       Date:  2010-03-11       Impact factor: 17.440

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