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Chronic Kidney Disease
(CKD) Challenges and
New Solutions
PREVALENCE OF CKD ACROSS THE US
CKD MORBIDITY/MORTALITY
Estimate...
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Chronic Kidney Disease Challenges and New Solutions

A critical population management challenge concerns chronic kidney disease (CKD), which impacts about half of the Medicare population and of diabetics. More than 50% of adults over 30 years of age are likely to develop CKD during their lifetime, and the prevalence of CKD is expected to climb over the next 15 years. Current CKD management is variable and suboptimal, as categorizing the very heterogeneous CKD patient population into risk cohorts for purposes of appropriate treatment is inaccurate. Without accurate risk classification, many patients are over-treated, leading to wasted expenses and adverse events, while others are not identified in time to receive interventions that change the course of the disease.

A new algorithm has been created that predicts patients’ risk of renal failure based on a specific set of laboratory tests combined with patient age and gender. Validated by more than 720,000 patients spanning 30 countries, it can reliably predict a patient’s risk of experiencing renal failure requiring dialysis or transplant. Studies show that a lab-based analytics program that incorporates this algorithm with care protocols, dashboards, and educational patient reports can generate substantial savings and improved outcomes for ACOs and health systems.

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Chronic Kidney Disease Challenges and New Solutions

  1. 1. Chronic Kidney Disease (CKD) Challenges and New Solutions PREVALENCE OF CKD ACROSS THE US CKD MORBIDITY/MORTALITY Estimated prevalence, CKD, U.S. population, 2015-2030 13.2% 14.4% 16.7% Current CKD Prevalence for Age >65 yo 44% SOURCES: > Hoerger TJ et al., American Journal of Kidney Diseases, March 2015 > Braun LA et al., International Journal of Nephrology and Renovascular Disease 2012:5 151–163 > Centers for Disease Control and Prevention, National Center for Health Statistics. Deaths: Final Date for 2011. www.cdc.gov > U.S. Renal Data System. USROS 2010 Annual Report; 2:219 > 2014 USRDS Annual Data Report; Volume 1 – CKD > Hoerger TJ et al. Am J Kidney Dis. 2015;65(3):403-411, JAMA, SEER Cancer Statistics > United States Renal Data System’s 2010 Annual Data Report and 2011 Annual Data Report. > Braun LA et al., International Journal of Nephrology and Renovascular Disease 2012:5 151–163 > 2013 USRDS Annual Data Report; Volume 2 > 2014 USRDS Annual Data Report; Volume 1 – CKD > Source: U.S. Renal Data System, 2005-2012. http://www.usrds.org/2014/view/v2_02.aspx > Personal communication with Navdeep Tangri, MD, FRCPC; Tangri N et al. JAMA. 2016;315(2):164-174; Lee et al. BMC Health Services Research 2012, 12:252; Viewics analysis > Personal communication with Navdeep Tangri, MD, FRCPC; Tangri N et al. JAMA. 2016;315(2):164-174; Viewics analysis > JAMA. 2016;315(2):164-174. Leading cause of death in America9th mortality rate in the first year of dialysis 23% CKD patients’ rate of hospital readmissions40% higher only to heart disease in lifetime incidence risk of morbidity (at age 30 in 2015) 2nd Heart disease, males* 60.3 Heart disease, females* 55.6 CKD 54.1 Cancer, all sites, males 42.8 Cancer, all sites, both sexes 40.0 Cancer, all sites, females 37.6 HIGH GROWTH RATE COSTS SUBOPTIMAL CKD CARE VIEWICS’ NEW SOLUTION FOR CKD VIEWICS CKD MANAGEMENT TM POTENTIAL COST SAVINGS The incidence of recognized CKD in people ages 65 and older more than doubled between 2000 and 2008. Approximate Medicare spending for End Stage Renal Disease in 2015 $56 billion $ $$ $$ Approximate Medicare spending per person for hemodialysis patients in 2015 $98,000 How much more Medicare renal failure patients cost compared to the average Medicare population 5x Patient awareness for those with Stages 1-3 CKD Renal failure patients who saw a nephrologist in the prior year 10%< 33%Amount of dialysis patients who used the access port associated with the best outcomes in 2011 (a fistula) 16% Uses an algorithm that combines laboratory tests, age, and gender to predict a patient’s risk of renal failure End Stage Renal Disease (ESRD) Risk Score+ + =Age Validated as accurate in more than 720,000 patients, 30 countries Viewics is implementing the predictive analytics application to automatically deliver the risk score to clinicians and issue customized, educational reports to patients and clinicians. Approximate full potential savings for U.S. population of CKD Stage 3 and 4 using Viewics CKD ManagementTM To learn more visit www.renalrisk.com Approximate cost savings per Stage 4 patient per year using Viewics CKD ManagementTM $15B Incorrect Patient Classification Viewics CKD ManagementTM can help rectify misclassification of Stage 4 CKD patients into Stage 3 patients due to inappropriate staging $5,600 13.2%Estimated prevalence, CKD, U.S. population 2000 2008 Ontario, Canada will begin requiring the Risk Score in order to receive reimbursement for late stage CKD beginning in April 2016 30% stage 1 stage 2 stage 3 stage 4 2015 2020 2030

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