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Title:

Independent validation of the ICU requirement score in a cohort of acutely poisoned adults.

Document type:
Journal Article
Author(s):
Böll, Regina; Romanek, Katrin; Schmoll, Sabrina; Stich, Raphael; Ott, Armin; Stenzel, Jochen; Geith, Stefanie; Eyer, Florian; Rabe, Christian
Abstract:
To independently validate the predictive value of the intensive care requirement score (IRS) in unselected poisoned patients.Retrospective chart review.Five hundred and seventeen out of 585 admissions for acute intoxications could be analyzed. Eleven were excluded for a condition already requiring intensive care unit (ICU) support at admission (e.g., preclinical intubation). A further 57 admissions were excluded due to missing data. The IRS was calculated using a point-scoring system including age, Glasgow Coma Scale, heart rate, type of intoxication, and preexisting conditions. It was then compared to a composite endpoint indicating an ICU requirement (death in hospital, vasopressors, need for ventilation). The endpoint and the point-scoring system were identical to the original publication of the score.Twenty-three out of 517 patients had a complicated clinical course as defined by meeting the endpoint definition. Twenty-one out of 23 complicated courses had a positive IRS (defined as greater or equal 6 points), as compared to 255/494 patients with an uncomplicated clinical course (p < .001, Fisher's exact test). One patient (with a positive IRS) died. The negative predictive value of the IRS was 0.99 (95% CI: 0.97-1), the sensitivity was 0.91 and the specificity 0.48. In conclusion, the IRS is significantly linked to outcome. While a negative IRS virtually excludes the need for ICU care, a positive IRS has a positive predictive value too low to be used for risk stratification. The IRS could also be applied to unselected admissions of poisoned patients.
Journal title abbreviation:
Clin Toxicol (Phila)
Year:
2018
Journal volume:
56
Journal issue:
7
Pages contribution:
664-666
Language:
eng
Fulltext / DOI:
doi:10.1080/15563650.2017.1401635
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/29143551
Print-ISSN:
1556-3650
TUM Institution:
2. Medizinische Klinik Toxikologische Abteilung (alt) (Prof. Zilker); Institut für Medizinische Statistik und Epidemiologie
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