Practical laboratory-based clinical decision tools and associations with short-term bleeding and mortality outcomes

The red cell distribution width (RDW) predicts mortality in numerous populations. The Intermountain Risk Scores (IMRS) predict patient outcomes using laboratory measurements including RDW. Whether the RDW or IMRS predicts in-hospital outcomes is unknown. The predictive abilities of RDW and two IMRS...

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Veröffentlicht in:Clinica chimica acta 2018-07, Vol.482, p.166-171
Hauptverfasser: Graves, Kevin G., Muhlestein, Joseph B., Lappé, Donald L., McCubrey, Raymond O., May, Heidi T., Knight, Stacey, Le, Viet T., Bair, Tami L., Anderson, Jeffrey L., Horne, Benjamin D.
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Sprache:eng
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Zusammenfassung:The red cell distribution width (RDW) predicts mortality in numerous populations. The Intermountain Risk Scores (IMRS) predict patient outcomes using laboratory measurements including RDW. Whether the RDW or IMRS predicts in-hospital outcomes is unknown. The predictive abilities of RDW and two IMRS formulations (the complete blood count [CBC] risk score [CBC-RS] or full IMRS using CBC plus the basic metabolic profile) were studied among percutaneous coronary intervention patients at Intermountain (males: N = 6007, females: N = 2165). Primary endpoints were a composite bleeding outcome and in-hospital mortality. IMRS predicted the composite bleeding endpoint (females: χ2 = 47.1, odds ratio [OR] = 1.13 per +1 score, p 
ISSN:0009-8981
1873-3492
DOI:10.1016/j.cca.2018.04.006