Publications by authors named "Steven Coca"

Background: Acute kidney injury (AKI) increases the risk for chronic kidney disease (CKD). We aimed to identify combinations of clinical variables and biomarkers that predict long-term kidney disease risk after AKI.

Methods: We analyzed data from a prospective cohort of 723 hospitalized patients with AKI in the Assessment, Serial Evaluation, and Subsequent Sequelae of AKI (ASSESS-AKI) Study.

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Key Points: In diabetes and CKD, creatinine- and cystatin C–based eGFR has a strong inverse correlation with plasma TNF receptor 1, TNF receptor 2, and soluble urokinase-type plasminogen activator receptor. Higher plasma soluble TNF receptors 1 and 2 and soluble urokinase-type plasminogen activator receptor were each individually associated with mortality, independent of baseline kidney measures.

Background: Several plasma biomarkers of kidney health have been associated with CKD progression in persons with diabetes, but their associations with mortality risk have been largely unexplored.

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Oxalate, a uremic toxin that accumulates in dialysis patients, is associated with cardiovascular disease. As oxalate crystals can activate immune cells, we tested the hypothesis that plasma oxalate would be associated with cytokine concentrations and cardiovascular outcomes in dialysis patients. In a cohort of 104 US patients with kidney failure requiring dialysis (cohort 1), we measured 21 inflammatory markers.

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People with human immunodeficiency virus (HIV) are at risk for chronic kidney disease (CKD) due to HIV and antiretroviral therapy (ART) nephrotoxicity. Immediate ART initiation reduces mortality and is now the standard of care, but the long-term impact of prolonged ART exposure on CKD is unknown. To evaluate this, the Strategic Timing of Antiretroviral Treatment (START) trial randomized 4,684 ART-naïve adults with CD4 cell count under 500 cells/mm to immediate versus deferred ART.

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Rationale & Objective: Glomerular disorders have a highly variable clinical course, and biomarkers that reflect the molecular mechanisms underlying their progression are needed. Based on our previous work identifying plasminogen as a direct cause of podocyte injury, we designed this study to test the association between urine plasmin(ogen) (ie, plasmin and its precursor plasminogen) and end-stage kidney disease (ESKD).

Study Design: Multicenter cohort study.

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Article Synopsis
  • Researchers explored using machine learning to predict individual educational attainment, moving beyond just ZIP code data in health studies.
  • They analyzed data from over 20,000 participants in New York City, testing various predictive models for cardiovascular hospitalization based on educational attainment data.
  • The findings showed that machine learning-predicted education levels had a better correlation with survey data compared to ZIP code-based education, leading to improved predictions for cardiovascular hospitalization outcomes.
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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].

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Background: Acute kidney injury (AKI) is common in hospitalized patients with SARS-CoV2 infection despite vaccination and leads to long-term kidney dysfunction. However, peripheral blood molecular signatures in AKI from COVID-19 and their association with long-term kidney dysfunction are yet unexplored.

Methods: In patients hospitalized with SARS-CoV2, we performed bulk RNA sequencing using peripheral blood mononuclear cells(PBMCs).

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Rationale & Objective: In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect.

Study Design: Randomized controlled trial.

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Rationale & Objective: Biomarkers of kidney disease progression have been identified in individuals with diabetes and underlying chronic kidney disease (CKD). Whether or not these markers are associated with the development of CKD in a general population without diabetes or CKD is not well established.

Study Design: Prospective observational cohort.

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Rationale & Objective: Urinary biomarkers of injury, inflammation, and repair may help phenotype acute kidney injury (AKI) observed in clinical trials. We evaluated the differences in biomarkers between participants randomized to monotherapy or to combination renin-angiotensin-aldosterone system (RAAS) blockade in VA NEPHRON-D, where an increased proportion of observed AKI was acknowledged in the combination arm.

Study Design: Longitudinal analysis.

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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.

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Management of patients with chronic kidney disease (CKD) is complex in terms of their disease pathophysiology. Cardiovascular disease is one of the leading causes of death in individuals with CKD. These patients are very prone for developing increase in creatinine usually enough to meet criteria for acute kidney injury spontaneously and after mild insults.

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Biomarkers of tubular function such as epidermal growth factor (EGF) may improve prognostication of participants at highest risk for chronic kidney disease (CKD) after hospitalization. To examine this, we measured urinary EGF (uEGF) from samples collected in the Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury (ASSESS-AKI) Study, a multi-center, prospective, observational cohort of hospitalized participants with and without AKI. Cox proportional hazards regression was used to investigate the association of uEGF/Cr at hospitalization, three months post-discharge, and the change between these time points with major adverse kidney events (MAKE): CKD incidence, progression, or development of kidney failure.

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Background: Dasatinib has been associated with nephrotoxicity. We sought to examine the incidence of proteinuria on dasatinib and determine potential risk factors that may increase dasatinib-associated glomerular injury.

Methods: We examined glomerular injury through urine albumin-creatinine ratio (UACR) in 82 patients with chronic myelogenous leukemia who were on tyrosine-kinase inhibitor therapy for at least 90 days.

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Article Synopsis
  • Acute kidney injury (AKI) is a serious complication of COVID-19, leading to higher in-hospital death rates; researchers used proteomics to find markers for COVID-AKI and long-term kidney issues.
  • In a study with two groups of COVID-19 hospitalized patients, they identified 413 proteins with elevated levels and 30 with decreased levels tied to AKI, validating 62 of these in a second group.
  • The findings reveal that proteins indicating kidney and heart injury correlate with acute and long-term kidney dysfunction, suggesting that AKI is influenced by various factors, including blood flow issues and heart damage.
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Key Points: Higher plasma and urine kidney injury molecule-1, urine monocyte chemoattractant protein-1, and lower urine alpha-1-microglobulin were associated with left ventricular hypertrophy, even after adjustment for confounders. Biomarkers of tubular injury, dysfunction, and inflammation may indicate the severity of kidney pathology and are associated with left ventricular hypertrophy.

Background: Left ventricular hypertrophy (LVH) is common in children with CKD and is associated with an increased risk of cardiovascular disease and mortality.

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