AIMS
To develop and validate an updated version of KidneyIntelX (kidneyintelX.dkd) to stratify patients for risk of progression of diabetic kidney disease (DKD) stages 1 to 3, to simplify the test for clinical adoption and support an application to the US Food and Drug Administration regulatory pathway.


METHODS
We used plasma biomarkers and clinical data from the Penn Medicine Biobank (PMBB) for training, and independent cohorts (BioMe and CANVAS) for validation. The primary outcome was progressive decline in kidney function (PDKF), defined by a ≥40% sustained decline in estimated glomerular filtration rate or end-stage kidney disease within 5 years of follow-up.


RESULTS
In 573 PMBB participants with DKD, 15.4% experienced PDKF over a median of 3.7 years. We trained a random forest model using biomarkers and clinical variables. Among 657 BioMe participants and 1197 CANVAS participants, 11.7% and 7.5%, respectively, experienced PDKF. Based on training cut-offs, 57%, 35% and 8% of BioMe participants, and 56%, 38% and 6% of CANVAS participants were classified as having low-, moderate- and high-risk levels, respectively. The cumulative incidence at these risk levels was 5.9%, 21.2% and 66.9% in BioMe and 6.7%, 13.1% and 59.6% in CANVAS. After clinical risk factor adjustment, the adjusted hazard ratios were 7.7 (95% confidence interval [CI] 3.0-19.6) and 3.7 (95% CI 2.0-6.8) in BioMe, and 5.4 (95% CI 2.5-11.9) and 2.3 (95% CI 1.4-3.9) in CANVAS, for high- versus low-risk and moderate- versus low-risk levels, respectively.


CONCLUSIONS
Using two independent cohorts and a clinical trial population, we validated an updated KidneyIntelX test (named kidneyintelX.dkd), which significantly enhanced risk stratification in patients with DKD for PDKF, independently from known risk factors for progression.

Derivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progression.

Introduction/Objective: The KidneyIntelX is a multiplex, bioprognostic, immunoassay consisting of 3 plasma biomarkers and clinical variables that uses machine learning to predict a patient’s risk for a progressive decline in kidney function over 5 years. We report the 1-year pre- and post-test clinical impact on care management, eGFR slope, and A1C along with engagement of population health clinical pharmacists and patient coordinators to promote a program of sustainable kidney, metabolic, and cardiac health. Methods: The KidneyIntelX in vitro prognostic test was previously validated for patients with type 2 diabetes and diabetic kidney disease (DKD) to predict kidney function decline within 5 years was introduced into the RWE study (NCT04802395) across the Health System as part of a population health chronic disease management program from [November 2020 to April 2023]. Pre- and post-test patients with a minimum of 12 months of follow-up post KidneyIntelX were assessed across all aspects of the program. Results: A total of 5348 patients with DKD had a KidneyIntelX assay. The median age was 68 years old, 52% were female, 27% self-identified as Black, and 89% had hypertension. The median baseline eGFR was 62 ml/min/1.73 m2, urine albumin-creatinine ratio was 54 mg/g, and A1C was 7.3%. The KidneyIntelX risk level was low in 49%, intermediate in 40%, and high in 11% of cases. New prescriptions for SGLT2i, GLP-1 RA, or referral to a specialist were noted in 19%, 33%, and 43% among low-, intermediate-, and high-risk patients, respectively. The median A1C decreased from 8.2% pre-test to 7.5% post-test in the high-risk group (P < .001). UACR levels in the intermediate-risk patients with albuminuria were reduced by 20%, and in a subgroup treated with new scripts for SGLT2i, UACR levels were lowered by approximately 50%. The median eGFR slope improved from −7.08 ml/min/1.73 m2/year to −4.27 ml/min/1.73 m2/year in high-risk patients (P = .0003), −2.65 to −1.04 in intermediate risk, and −3.26 ml/min/1.73 m2/year to +0.45 ml/min/1.73 m2/year in patients with low-risk (P < .001). Conclusions: Deployment and risk stratification by KidneyIntelX was associated with an escalation in action taken to optimize cardio-kidney-metabolic health including medications and specialist referrals. Glycemic control and kidney function trajectories improved post-KidneyIntelX testing, with the greatest improvements observed in those scored as high-risk.

A Real-World Precision Medicine Program Including the KidneyIntelX Test Effectively Changes Management Decisions and Outcomes for Patients With Early-Stage Diabetic Kidney Disease

Multiple biomarkers have been associated with Diabetic Kidney Disease (DKD) progression and its associated exaggerated risk for cardiovascular events and mortality. Chronic inflammation plays an important role in the progression of DKD. Tumour Necrosis Factor alpha (TNF-α) is a central proinflammatory cytokine that binds to its soluble receptor (sTNFR) and has been implicated in the pathogenesis of DKD. sTNFRs are a family of membrane proteins that regulate gene expression and activate cell death pathways. They are involved in the immune system and can bind to cytokines related to TNF. Higher levels of the type 1 (sTNFR1) and type 2 (sTNFR2) receptor have consistently been associated with progressive DKD, notably rapid GFR decline and progression to kidney failure. They offer enhanced risk prediction for progressive DKD over and above established risk markers. Higher levels of sTNFR1 and sTNFR2 also predict incident cardiovascular disease and mortality in people with diabetes. Further studies are required to define the temporal relationship between changes in circulating sTNFR levels and progression of kidney function loss. The influence of medications with kidney protective effects on sTNFR levels also requires further investigation.

Soluble tumor necrosis factor receptors (sTNFRs) as biomarkers for diabetic kidney disease

People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.

Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

Introduction: KidneyIntelX is a multiplex immunoassay of 3 plasma biomarkers with 7 clinical variables combined using machine-learning to generate a risk score for progressive decline in kidney function over 5 years in individuals with early-stage diabetic kidney disease (DKD) .
 Methods: A Population Health defined Mount Sinai approved care pathway for DKD patients informed by the KidneyIntelX test was introduced into the Mount Sinai Health System in New York, NY as part of a Real World Evidence (RWE) study (NCT04802395) . Decision impact of medication management (anti-hypertensives, SGLT2 inhibitors/GLP1 agonists) and specialist referral was tracked. An interim analysis was performed for 1) Assessing comparability between RWE and a published clinical validation cohort based on KidneyIntelX risk score distribution; 2) Determining if necessary EHR clinical fields were captured; 3) Identifying early evidence of KidneyIntelX impact on provider decision-making.
 Results: Between Mar-Nov 2021, 1,112 patients had KidneyIntelX test results, with post-test follow up to 36 weeks. The risk breakdown of RWE population was similar to the clinical validation cohort [High 14% vs. 17%, intermediate 40% vs. 37% and low risk 46% vs. 46%]. EHR record review for care changes confirmed ability to meet study objectives. Compared to patients scored low risk, there were changes in anti-hypertensives (OR 3.0; 95% CI 1.6-5.6) , initiation of SGLT2i/GLP-1a (OR 6.4; 95% CI 2.9-14) and increased referrals to nephrologists, endocrinologists, or dieticians (OR 2.8;95% CI 1.7-4.7) in patients scored as high-risk (Figure) .
 Conclusions: KidneyIntelX was successfully deployed in a health care system in a comparable population to the validation cohort with high data capture fidelity. Application of guideline-based
 therapies and specialist referral increased in the proportion to reported risk level by 3-6 and >2-fold, respectively.
 
 
 J. Tokita: None. M. J. Donovan: Employee; Renalytix. R. Fields: None.


14-LB: Clinical Utility of KidneyIntelX on Patients with Early-Stage Diabetic Kidney Disease—A Real-World Evidence Study

Introduction and Objective: The lack of precision to identify patients with early-stage diabetic kidney disease (DKD) at near-term risk for progressive decline in kidney function results in poor disease management often leading to kidney failure requiring unplanned dialysis. The KidneyIntelX is a multiplex, bioprognostic, immunoassay consisting of 3 plasma biomarkers and clinical variables that uses machine learning to generate a risk score for progressive decline in kidney function over 5-year in adults with early-stage DKD. Our objective was to assess the impact of KidneyIntelX on management and outcomes in a Health System in the real-world evidence (RWE) study. Methods: KidneyIntelX was introduced into a large metropolitan Health System via a population health-defined approved care pathway for patients with stages 1 to 3 DKD between [November 2020 to March 2022]. Decision impact on visit frequency, medication management, specialist referral, and selected lab values was assessed. We performed an interim analysis in patients through 6-months post-test date to evaluate the impact of risk level with clinical decision-making and outcomes. Results: A total of 1686 patients were enrolled in the RWE study and underwent KidneyIntelX testing and subsequent care pathway management. The median age was 68 years, 52% were female, 26% self-identified as Black, and 94% had hypertension. The median baseline eGFR was 59 ml/minute/1.73 m2, urine albumin-creatinine ratio was 69 mg/g, and HbA1c was 7.7%. After testing, a clinical encounter in the first month occurred in 13%, 43%, and 53% of low-risk, intermediate-risk, and high-risk patients, respectively and 46%, 61%, and 71% had at least 1 action taken within the first 6 months. High-risk patients were more likely to be placed on SGLT2 inhibitors (OR = 4.56; 95% CI 3.00-6.91 vs low-risk), and more likely to be referred to a specialist such as a nephrologist, endocrinologist, or dietician (OR = 2.49; 95% CI 1.53-4.01) compared to low-risk patients. Conclusions: The combination of KidneyIntelX, clinical guidelines and educational support resulted in changes in clinical management by clinicians. After testing, there was an increase in visit frequency, referrals for disease management, and introduction to guideline-recommended medications. These differed by risk category, indicating an impact of KidneyIntelX risk stratification on clinical care.

Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and Outcomes

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14-LB: Clinical Utility of KidneyIntelX on Patients with Early-Stage Diabetic Kidney Disease—A Real-World Evidence Study

Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and Outcomes