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Abstract Number: 1049

Heart Rate Variability Testing with Autonomic Nervous System Optimization: Could It Change the Course of Spending for Rheumatoid Arthritis Patients in the U.S.? an Exploratory Minimal Model Analysis

Marita Zimmermann1, Elisabeth Vodicka2, Andrew J Holman3,4,5 and Louis P Garrison2, 1Constants in Global Health, University of Washington, Seattle, WA, 2Consultants in Global Health, University of Washington, Seattle, WA, 3Rheumatology, Pacific Rheumatology Associates Inc PS, Seattle, WA, 4Inmedix, Normandy Park, WA, 5Pacific Rheumatology Reseach, Seattle, WA

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: anti-TNF therapy, Health care cost, health outcome and rheumatoid arthritis, treatment

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Session Information

Date: Monday, November 6, 2017

Title: Health Services Research Poster II: Osteoarthritis and Rheumatoid Arthritis

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose:

Autonomic nervous system (ANS) testing with heart rate variability (HRV) has been shown to predict 52-week anti-TNF therapeutic outcomes in rheumatoid arthritis (RA).1 HRV testing could be combined with the three currently available putative ANS biologic pathways (vagal nerve stimulation,2 obstructive sleep apnea,3 and restless leg [RLS] medications4) to improve treatment response for RA patients. We explored the potential costs and health outcomes of introducing HRV testing into RA treatment, both without vs. with ANS optimization.

Methods:

A decision tree exploratory economic model compared HRV testing to standard care in moderate-to-severe biologic-eligible patients over a 10-year time horizon. Patients were stratified by HRV test scores into “low probability of response” and “moderate to high probability of response” (parasympathetic HRV<=vs. >0.12) with positive predictive value (PPV)=33% and negative predictive value (NPV)=100%.5 We then explored adding ANS optimization (RLS method4) based on HRV score, with patients stratified into parasympathetic <=vs. >0.19, PPV=0.63, NPV=0.88.5 Finally we explored a hypothetical scenario expanding the eligible population to all RA patients using hypothetically analogous ANS-prediction and ANS-enhancement of non-biologic treatment (no study yet done) over a range of potential PPV values (10-25%). We also evaluated model outcomes when biologic utilization was assumed to increase from current 26%6 of eligible patients to 35-55%. Costs and quality-adjusted life-years (QALYs) per patient and for the US population were estimated. Cost-effectiveness was defined as an incremental cost-effectiveness ratio (ICER) below $150,000/QALY.

Results:

HRV testing in biologic-eligible patients decreased non-effective biologic use, reducing US costs by $9.8B over 10 years with QALYs unchanged. When combined with ANS optimization in biologic-eligible patients, HRV testing could increase costs by $1.5 billion over 10 years and save 102,000 QALYs (ICER $14,000/QALY). Our hypothetical analysis estimated that, among all RA patients, HRV testing with ANS optimization could save $15-20 billion and 780,000 QALYs over 10 years, depending on PPV of the HRV test. In this scenario, if biologic use increased from current uptake, costs could increase from $13 to 98 billion, ICER maintained <$150,000/QALY.

Standard of Care Incremental Change with HRV Testing Standard of Care Incremental Change with HRV Testing Standard of Care Incremental Change with HRV Testing
HRV testing vs. no testing (10 year total)
Biologics utilization 26% (current) Biologics utilization 35% Biologics utilization 45%
Total costs $57.33 bil -$9.30 bil — — — —
Biologics $36.07 bil -$9.84 bil — — — —
QALYs 2,228,036 0 — — — —
ICER — — — — — —
HRV testing + ANS optimization vs. no testing or optimization, biologic eligible patients (10 year total)
Biologics utilization 26% (current) Biologics utilization 35% Biologics utilization 45%
Total costs $57.33 bil $1.45 bil $57.33 bil $14.20 bil $57.33 bil $28.39 bil
Biologics $36.07 bil $0.03 bil $36.07 bil $12.55 bil $36.07 bil $26.48 bil
QALYs 2,228,036 101,765 2,228,036 163,444 2,228,036 232,054
ICER — $14,244/QALY — $86,894/QALY — $122,330/QALY
HRV testing + ANS optimization vs. no testing or optimization, all patients (10 year total), hypothetical analysis
Biologics utilization 26% (current) Biologics utilization 35% Biologics utilization 45%
PPV 10% Total costs $207.38 bil -$15.36 bil $207.38 bil $19.66 bil $207.38 bil $58.58 bil
Biologics $122.27 bil -$23.08 bil $122.27 bil $11.28 bil $122.27 bil $49.47 bil
QALYs 9,348,102 780,335 9,348,102 852,805 9,348,102 933,359
ICER — — — $23,049/QALY — $62,759/QALY
PPV 25% Total costs $207.38 bil -$19.98 bil $207.38 bil $13.30 bil $207.38 bil $50.29 bil
Biologics $122.27 bil -$27.99 bil $122.27 bil $4.66 bil $122.27 bil $40.96 bil
QALYs 9,348,102 946,503 9,348,102 1,015,410 9,348,102 1,092,002
ICER — — — $13,100/QALY — $46,055/QALY

Conclusion:

The potential US health economic impact of introducing HRV testing and ANS optimization into RA treatment appears substantial and is possibly cost-effective. Additional rigorous studies are warranted in larger patient samples, particularly investigation into non-biologic therapeutic applications.

1. Holman, Arthritis Rheum. 2015;67 (suppl 10) #1571

2. Koopman, Proc Natl Acad Sci. 2016;113(29)

3. Shimizu, Arthritis Rheum. 2003

4. Holman, Arthritis Rheum. 2015;67 (suppl 10) #422

5. Holman, Auton Neurosci. 2008;143(1-2)

6. Yazici, Bull NYU Hosp Jt Dis. 2008;66(2)


Disclosure: M. Zimmermann, None; E. Vodicka, None; A. J. Holman, Inmedix, 4; L. P. Garrison, None.

To cite this abstract in AMA style:

Zimmermann M, Vodicka E, Holman AJ, Garrison LP. Heart Rate Variability Testing with Autonomic Nervous System Optimization: Could It Change the Course of Spending for Rheumatoid Arthritis Patients in the U.S.? an Exploratory Minimal Model Analysis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/heart-rate-variability-testing-with-autonomic-nervous-system-optimization-could-it-change-the-course-of-spending-for-rheumatoid-arthritis-patients-in-the-u-s-an-exploratory-minimal-model-analysis/. Accessed .
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