Literature DB >> 17562738

Quantifying risk and benchmarking performance in the adult intensive care unit.

Thomas L Higgins1.   

Abstract

Morbidity, mortality, and length-of-stay outcomes in patients receiving critical care are difficult to interpret unless they are risk-stratified for diagnosis, presenting severity of illness, and other patient characteristics. Acuity adjustment systems for adults include the Acute Physiology And Chronic Health Evaluation (APACHE), the Mortality Probability Model (MPM), and the Simplified Acute Physiology Score (SAPS). All have recently been updated and recalibrated to reflect contemporary results. Specialized scores are also available for patient subpopulations where general acuity scores have drawbacks. Demand for outcomes data is likely to grow with pay-for-performance initiatives as well as for routine clinical, prognostic, administrative, and research applications. It is important for clinicians to understand how these scores are derived and how they are properly applied to quantify patient severity of illness and benchmark intensive care unit performance.

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Year:  2007        PMID: 17562738     DOI: 10.1177/0885066607299520

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


  23 in total

1.  Estimates of the need for palliative care consultation across united states intensive care units using a trigger-based model.

Authors:  May S Hua; Guohua Li; Craig D Blinderman; Hannah Wunsch
Journal:  Am J Respir Crit Care Med       Date:  2014-02-15       Impact factor: 21.405

2.  A retrospective analysis of postoperative patients admitted to the intensive care unit.

Authors:  S Uzman; Y Yilmaz; M Toptas; I Akkoc; Y G Gul; H Daskaya; Y Toptas
Journal:  Hippokratia       Date:  2016 Jan-Mar       Impact factor: 0.471

3.  Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU data.

Authors:  Emmanuelle Deslandes; Sylvie Chevret
Journal:  BMC Med Res Methodol       Date:  2010-07-29       Impact factor: 4.615

4.  A bootstrap approach for assessing the uncertainty of outcome probabilities when using a scoring system.

Authors:  Gabriele Cevenini; Paolo Barbini
Journal:  BMC Med Inform Decis Mak       Date:  2010-08-26       Impact factor: 2.796

5.  Elevated red cell distribution width at initiation of critical care is associated with mortality in surgical intensive care unit patients.

Authors:  Tiffany M N Otero; Cecilia Canales; D Dante Yeh; Peter C Hou; Donna M Belcher; Sadeq A Quraishi
Journal:  J Crit Care       Date:  2016-03-16       Impact factor: 3.425

6.  A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data.

Authors:  Dee W Ford; Andrew J Goodwin; Annie N Simpson; Emily Johnson; Nandita Nadig; Kit N Simpson
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

Review 7.  Triage of high-risk surgical patients for intensive care.

Authors:  Julia B Sobol; Hannah Wunsch
Journal:  Crit Care       Date:  2011-03-22       Impact factor: 9.097

8.  The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

Authors:  Joao Paulo Souza; Jose Guilherme Cecatti; Samira M Haddad; Mary Angela Parpinelli; Maria Laura Costa; Leila Katz; Lale Say
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

9.  Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?

Authors:  Vanessa M de Oliveira; Janete S Brauner; Edison Rodrigues Filho; Ruth G A Susin; Viviane Draghetti; Simone T Bolzan; Silvia R R Vieira
Journal:  Clinics (Sao Paulo)       Date:  2013       Impact factor: 2.365

10.  Difference in patient outcomes coming from public and private hospitals in an intensive care unit in Brazil.

Authors:  Fabio F Amorim; Adriell R Santana; Rodrigo S Biondi; Alethea Pp Amorim; Edmilson B Moura; Karlo J Quadros; Humberto S Oliveira; Rubens Ab Ribeiro
Journal:  J Clin Med Res       Date:  2012-11-11
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