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Horne BD, Bledsoe JR, Muhlestein JB, May HT, Peltan ID, Webb BJ, Carlquist JF, Bennett ST, Rea S, Bair TL, Grissom CK, Knight S, Ronnow BS, Le VT, Stenehjem E, Woller SC, Knowlton KU, Anderson JL. Association of the Intermountain Risk Score with major adverse health events in patients positive for COVID-19: an observational evaluation of a US cohort. BMJ Open 2022; 12:e053864. [PMID: 35332038 PMCID: PMC8948080 DOI: 10.1136/bmjopen-2021-053864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES The Intermountain Risk Score (IMRS), composed using published sex-specific weightings of parameters in the complete blood count (CBC) and basic metabolic profile (BMP), is a validated predictor of mortality. We hypothesised that IMRS calculated from prepandemic CBC and BMP predicts COVID-19 outcomes and that IMRS using laboratory results tested at COVID-19 diagnosis is also predictive. DESIGN Prospective observational cohort study. SETTING Primary, secondary, urgent and emergent care, and drive-through testing locations across Utah and in sections of adjacent US states. Viral RNA testing for SARS-CoV-2 was conducted from 3 March to 2 November 2020. PARTICIPANTS Patients aged ≥18 years were evaluated if they had CBC and BMP measured in 2019 and tested positive for COVID-19 in 2020. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was a composite of hospitalisation or mortality, with secondary outcomes being hospitalisation and mortality separately. RESULTS Among 3883 patients, 8.2% were hospitalised and 1.6% died. Subjects with low, mild, moderate and high-risk IMRS had the composite endpoint in 3.5% (52/1502), 8.6% (108/1256), 15.5% (152/979) and 28.1% (41/146) of patients, respectively. Compared with low-risk, subjects in mild-risk, moderate-risk and high-risk groups had HR=2.33 (95% CI 1.67 to 3.24), HR=4.01 (95% CI 2.93 to 5.50) and HR=8.34 (95% CI 5.54 to 12.57), respectively. Subjects aged <60 years had HR=3.06 (95% CI 2.01 to 4.65) and HR=7.38 (95% CI 3.14 to 17.34) for moderate and high risks versus low risk, respectively; those ≥60 years had HR=1.95 (95% CI 0.99 to 3.86) and HR=3.40 (95% CI 1.63 to 7.07). In multivariable analyses, IMRS was independently predictive and was shown to capture substantial risk variation of comorbidities. CONCLUSIONS IMRS, a simple risk score using very basic laboratory results, predicted COVID-19 hospitalisation and mortality. This included important abilities to identify risk in younger adults with few diagnosed comorbidities and to predict risk prior to SARS-CoV-2 infection.
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Affiliation(s)
- Benjamin D Horne
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Joseph R Bledsoe
- Department of Emergency Medicine, Intermountain Medical Center, Salt Lake City, UT, USA
- Department of Emergency Medicine, Stanford University, Stanford, CA, USA
| | - Joseph B Muhlestein
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
- Cardiology Division, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Heidi T May
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Ithan D Peltan
- Pulmonary and Critical Care, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Brandon J Webb
- Division of Infectious Diseases and Clinical Epidemiology, Department of Medicine, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - John F Carlquist
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
- Cardiology Division, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Sterling T Bennett
- Intermountain Central Laboratory, Intermountain Medical Center, Salt Lake City, UT, USA
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Susan Rea
- Care Transformation Information Systems, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Tami L Bair
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Colin K Grissom
- Pulmonary and Critical Care, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Stacey Knight
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Brianna S Ronnow
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Viet T Le
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Department of Medicine, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Scott C Woller
- Department of Medicine, Intermountain Medical Center, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Kirk U Knowlton
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
- Division of Cardiovascular Medicine, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey L Anderson
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA
- Cardiology Division, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
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Horne BD, Ali R, Midwinter D, Scott-Wilson C, Crim C, Miller BE, Rubin DB. Validation of the Summit Lab Score in Predicting Exacerbations of Chronic Obstructive Pulmonary Disease Among Individuals with High Arterial Stiffness. Int J Chron Obstruct Pulmon Dis 2021; 16:41-51. [PMID: 33447025 PMCID: PMC7802087 DOI: 10.2147/copd.s279645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 12/11/2020] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION The presence of cardiovascular (CV) risk factors and CV disease in patients with chronic obstructive pulmonary disease (COPD) leads to worse outcomes. A number of tools are currently available to stratify the risk of adverse outcomes in these patients with COPD. This post hoc analysis evaluated the Summit Lab Score for validation as a predictor of the first episode of moderate-to-severe acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and other outcomes, in patients with COPD and high arterial pulse wave velocity (aPWV). METHODS Data from a multicenter, randomized, placebo-controlled, double-blind study were retrospectively analyzed to evaluate treatment effects of once-daily fluticasone furoate/vilanterol 100/25 μg in patients with COPD and an elevated CV risk (aPWV≥11m/s) over 24 weeks. The previously derived Summit Lab Score and, secondarily, the Intermountain Risk Score (IMRS) were computed for each patient, with patients then stratified into tertiles for each score. Risk of moderate-to-severe AECOPD was analyzed across tertiles using Kaplan-Meier survival curve and Cox regression analyses. RESULTS In 430 patients with COPD, Kaplan-Meier probabilities of no moderate-to-severe AECOPD for Summit Lab Score tertiles 1, 2, and 3 were 92.3%, 95.5%, and 85.1%, respectively (P trend = 0.015), over 24 weeks. Grouped by IMRS tertiles, the respective probabilities were 92.9%, 91.2%, and 88.3%, respectively (P trend = 0.141). Length of stay in the hospital (P = 0.034) and the hospital ward (P = 0.042) were also significantly different between Summit Lab Score tertiles but not for intensive care (P = 0.191). CONCLUSION The Summit Lab Score was associated with the 24-week risk of moderate-to-severe AECOPD in COPD patients with elevated CV risk. Secondarily, IMRS showed a trend towards differences in the risk of AECOPD, which was not statistically significant.
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Affiliation(s)
- Benjamin D Horne
- Intermountain Medical Center Heart Institute, Salt Lake City, UT, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | | | | | | | - Courtney Crim
- GlaxoSmithKline Plc., Research Triangle Park, Raleigh, NC, USA
| | | | - David B Rubin
- GlaxoSmithKline Plc., Research Triangle Park, Raleigh, NC, USA
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