Literature DB >> 20705688

The Intermountain Risk Score (including the red cell distribution width) predicts heart failure and other morbidity endpoints.

Benjamin D Horne1, Heidi T May, Abdallah G Kfoury, Dale G Renlund, Joseph B Muhlestein, Donald L Lappé, Kismet D Rasmusson, T Jared Bunch, John F Carlquist, Tami L Bair, Kurt R Jensen, Brianna S Ronnow, Jeffrey L Anderson.   

Abstract

AIMS: The complete blood count (CBC) and basic metabolic profile are common, low-cost blood tests, which have previously been used to create and validate the Intermountain Risk Score (IMRS) for mortality prediction. Mortality is the most definitive clinical endpoint, but medical care is more easily applied to modify morbidity and thereby prevent death. This study tested whether IMRS is associated with clinical morbidity endpoints. METHODS AND
RESULTS: Patients seen for coronary angiography (n = 3927) were evaluated using a design similar to a genome-wide association study. The Bonferroni correction for 102 tests required a P-value of ≤ 4.9 × 10⁻⁴ for significance. A second set of angiography patients (n = 10 413) was used to validate significant findings from the first patient sample. In the first patient sample, IMRS predicted heart failure (HF) (P(trend) = 1.6 × 10(-26)), coronary disease (P(trend) = 2.6 × 10(-11)), myocardial infarction (MI) (P(trend) = 3.1 × 10(-25)), atrial fibrillation (P(trend) = 2.5 × 10(-20)), and chronic obstructive pulmonary disease (P(trend) = 4.7 × 10⁻⁴). Even more, IMRS predicted HF readmission [hazard ratio (HR) = 2.29/category, P(trend) = 1.2 × 10⁻⁶), incident HF (HR = 1.88/category, P(trend) = 0.02), and incident MI (HR = 1.56/category, P(trend) = 4.7 × 10⁻⁴). These findings were verified in the second patient sample.
CONCLUSION: Intermountain Risk Score, a predictor of mortality, was associated with morbidity endpoints that often lead to mortality. Further research is required to fully characterize its clinical utility, but its low-cost CBC and basic metabolic profile composition may make it ideal for initial risk estimation and prevention of morbidity and mortality. An IMRS web calculator is freely available at http://intermountainhealthcare.org/IMRS.

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Year:  2010        PMID: 20705688     DOI: 10.1093/eurjhf/hfq115

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  18 in total

1.  Extreme erythrocyte macrocytic and microcytic percentages are highly predictive of morbidity and mortality.

Authors:  Benjamin D Horne; Joseph B Muhlestein; Sterling T Bennett; Joseph Boone Muhlestein; Kurt R Jensen; Diane Marshall; Tami L Bair; Heidi T May; John F Carlquist; Matthew Hegewald; Stacey Knight; Viet T Le; T Jared Bunch; Donald L Lappé; Jeffrey L Anderson; Kirk U Knowlton
Journal:  JCI Insight       Date:  2018-07-26

2.  Predicting postdischarge hospital-associated venous thromboembolism among medical patients using a validated mortality risk score derived from common biomarkers.

Authors:  Lindsey Snyder; Scott M Stevens; Masarret Fazili; Emily L Wilson; James F Lloyd; Benjamin D Horne; Joseph Bledsoe; Scott C Woller
Journal:  Res Pract Thromb Haemost       Date:  2020-05-20

3.  Do clinicians recommend aspirin to patients for primary prevention of cardiovascular disease?

Authors:  Kevin Fiscella; Paul C Winters; Michael Mendoza; Gary J Noronha; Carlos M Swanger; John D Bisognano; Robert J Fortuna
Journal:  J Gen Intern Med       Date:  2015-02       Impact factor: 5.128

4.  Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients.

Authors:  Sabina Hunziker; Leo A Celi; Joon Lee; Michael D Howell
Journal:  Crit Care       Date:  2012-05-18       Impact factor: 9.097

5.  Risk stratification based on components of the complete blood count in patients with acute coronary syndrome: A classification and regression tree analysis.

Authors:  Xiaowei Niu; Guoyong Liu; Lichao Huo; Jingjing Zhang; Ming Bai; Yu Peng; Zheng Zhang
Journal:  Sci Rep       Date:  2018-02-12       Impact factor: 4.379

6.  Predicting new-onset HF in patients undergoing coronary or peripheral angiography: results from the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA) study.

Authors:  Nasrien E Ibrahim; Asya Lyass; Hanna K Gaggin; Yuyin Liu; Roland R J van Kimmenade; Shweta R Motiwala; Noreen P Kelly; Parul U Gandhi; Mandy L Simon; Arianna M Belcher; Jamie E Harisiades; Joseph M Massaro; Ralph B D'Agostino; James L Januzzi
Journal:  ESC Heart Fail       Date:  2018-02-09

7.  Repeated measurement of the intermountain risk score enhances prognostication for mortality.

Authors:  Benjamin D Horne; Donald L Lappé; Joseph B Muhlestein; Heidi T May; Brianna S Ronnow; Kimberly D Brunisholz; Abdallah G Kfoury; T Jared Bunch; Rami Alharethi; Deborah Budge; Brian K Whisenant; Tami L Bair; Kurt R Jensen; Jeffrey L Anderson
Journal:  PLoS One       Date:  2013-07-17       Impact factor: 3.240

8.  Red cell distribution width and early mortality in elderly patients with severe sepsis and septic shock.

Authors:  Sejin Kim; Kyoungmi Lee; Inbyung Kim; Siyoung Jung; Moon-Jung Kim
Journal:  Clin Exp Emerg Med       Date:  2015-09-30

9.  Short-Term Exposure to Fine Particulate Matter Air Pollution Is Preferentially Associated With the Risk of ST-Segment Elevation Acute Coronary Events.

Authors:  C Arden Pope; Joseph B Muhlestein; Jeffrey L Anderson; John B Cannon; Nicholas M Hales; Kent G Meredith; Viet Le; Benjamin D Horne
Journal:  J Am Heart Assoc       Date:  2015-12-08       Impact factor: 5.501

10.  The Summit Score Stratifies Mortality and Morbidity in Chronic Obstructive Pulmonary Disease.

Authors:  Benjamin D Horne; Matthew J Hegewald; Courtney Crim; Susan Rea; Tami L Bair; Denitza P Blagev
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-07-20
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