Publications

Major Adverse Kidney Events in the American Indian or Alaska Native Population with Diabetes

Chronic kidney disease (CKD) and diabetes disproportionately affect the American Indian or Alaska Native population but understanding …
Anna M Zemke[1 2 a], Kiara Mayhand[3], Radica Z Alicic[4 5], Lindsey M Kornowske[5], Cami R Jones[5], Kenn B Daratha[5], Christina Reynolds[5], Susanne B Nicholas[6], Panayiotis Petousis[6], Leonid Shpaner[6], Joshua J Neumiller[5 7], Keith C Norris[6], Nisha Bansal[1], Katherine R Tuttle[1 4 5]
DOI CJASN

Development of machine learning prediction models for postoperative outcomes in adult male circumcision

Male circumcision is among the most commonly performed and clinically endorsed surgical procedures globally, deeply rooted in medical, …
Leonid Shpaner[1], Giuseppe Saitta[2]
PDF DOI PubMed Central

Risk of Kidney Failure by Diagnosis and Histology in Diabetes FR-PO0338

Risk of kidney failure with diabetic nephropathy (DN) versus another diagnosis (non-DN) or mixed-DN (DN and non-DN) diagnosis is …
Katherine R Tuttle[1 2], Lindsey M Kornowske[1], Jonathan E Zuckerman[3], Leonid Shpaner[3], Panayiotis Petousis[3], Cynthia C Nast[4 3], Susanne B Nicholas[3], Keith C Norris[3], Cami R Jones[1], Chakradhari Inampudi[5], Kenn B Daratha[1], Bruce A Marino[6], Radica Z Alicic[1]
DOI

Predicting Kidney Function Decline in American Indian and Alaska Native Populations with Diabetes TH-PO1004

Chronic kidney disease (CKD) and diabetes disproportionately affect the American Indian and Alaskan Native (AI/AN) population, but …
Anna M Zemke[1], Kiara Mayhand[2], Radica Z Alicic[1 3], Lindsey M Kornowske[3], Cami R Jones[3], Kenn B Daratha[3], Christina Reynolds[3], Susanne B Nicholas[4], Panayiotis Petousis[4], Leonid Shpaner[4], Joshua J Neumiller[5], Keith C Norris[4], Nisha Bansal[1], Katherine R Tuttle[1 3]
DOI

Improving Kidney Failure Risk Predictions for Clinical Trials Across CKD Stages 1-4: TH-PO1195

Recruitment prescreening and reliable outcome assessment are persistent bottlenecks in kidney trials. The Kidney Failure Risk Equation …
Shpaner, Leonid[1], Petousis, Panayiotis[1], Nicholas, Susanne B.[1], Bui, Alex[1], Duru, Obidiugwu[1], Kornowske, Lindsey M.[2], Jones, Cami R.[2], Daratha, Kenn B.[2], Norris, Keith C.[1], Tuttle, Katherine R.[2], Center for Kidney Disease Research, Education, and Hope (CURE-CKD)
DOI

Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009–2021

In the PICU, predicting death within 1 hour after terminal extubation (TE) is valuable in augmenting family counseling and in …
Winter, Meredith C. MD[1 2], Zhou, Alice X. BA[1 3], Laksana, Eugene BS[1 3], Aczon, Melissa D. PhD[1 3], Ledbetter, David R. BS[4], Avesar, Michael MD[5], Burkiewicz, Kimberly DNP, APRN, CPNP-AC[6], Chandnani, Harsha K. MD, MBA, MPH[5], Fainberg, Nina MD[7], Hsu, Stephanie MD[8], McCrory, Michael C. MD, MS, FCCM[9], Morrow, Katie R. MSN, CPNP-AC[10], Noguchi, Anna BSN, RN[11], O’Brien, Caitlin E. MD, MPH[12], Ojha, Apoorva BS[13], Pringle, Charlene MSN, CPNP-AC/PC, FCCM[14], Ross, Patrick A. MD[1 2], Shah, Jui MD[5], Shah, Sareen MD[3 15], Shpaner, Leonid MS[16], Siegel, Linda B. MD, FAAP, FAAHPM[17], Tripathi, Sandeep MD, MS, FCCM[6], Wetzel, Randall C. MBBS[1 2 3], on behalf of the Pediatric Data Science and Analytics (PEDAL) subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network
DOI

50: DEATH ONE HOUR AFTER TERMINAL EXTUBATION (DONATE): A MULTISITE COHORT STUDY

Methods: The Death One Hour After Terminal Extubation (DONATE) Study is a multi-site retrospective cohort study using data from ten US …
Winter, Meredith C. MD[1], Zhou, Alice X. BA[2], Laksana, Eugene BS[3], Aczon, Melissa D. PhD[3], Ledbetter, David R. BS[4], Avesar, Michael MD[5], Fainberg, Nina MD[6], Hsu, Stephanie MD[7], McCrory, Michael C. MD, MS, FCCM[8], Morrow, Katie R. MSN, CPNP-AC[9], O’Brien, Caitlin E. MD, MPH[10], Pringle, Charlene MSN, CPNP-AC/PC, FCCM[11], Ross, Patrick A. MD[12], Shah, Sareen MD[13], Shpaner, Leonid MS[14], Siegel, Linda B. MD, FAAP, FAAHPM[15], Tripathi, Sandeep MD, MS, FCCM[16], Wetzel, Randall C. MBBS[17]
DOI

Kidney Failure Risk Equation Prediction in a Real-World Population with CKD FR-PO936

Risk prediction helps to identify patients with chronic kidney disease (CKD) who may benefit from awareness, detection, and …
Shpaner, Leonid[1], Petousis, Panayiotis[1], Duru, Obidiugwu[1], Daratha, Kenn B.[2], Norris, Keith C.[1], Tuttle, Katherine R.[2], Nicholas, Susanne B.[1], Bui, Alex[1], Center for Kidney Disease Research, Education, and Hope (CURE-CKD)
PDF DOI Poster Presentation (PDF) Project Page