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Radhakrishnan, Yeshwanter

0000-0002-1437-8894

Mayo Clinic

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.

Citations 4

Global hemodialysis vascular access care: Three decades of evolution
Hassanein, Mohamed , Radhakrishnan, Yeshwanter , Garcilazo, Nora H. Hernandez , Khor, Si Yuan , Norouzi, Sayna , Anvari, Evamaria , Shingarev, Roman , Vachharajani, Tushar J. , Radhakrishnan, Yeshwanter

The Journal of Vascular Access | April 26, 2023 | Volume: 26 | Issue: 1 | Pages: 5-14

10.1177/11297298231159251 Get It

The development of vascular access for hemodialysis has come a long way since 1943 when the first hemodialysis treatment was performed in humans by connecting an artery and vein using an external glass canula. Since then, vascular access care has evolved robustly through contributions from numerous countries and professional nephrology societies, worldwide. To understand the global distribution and contribution of different specialties to medical literature on dialysis vascular access care, we performed a literature search from 1991 to 2021 and identified 2768 articles from 74 countries. The majority of publications originated from the United States (41.5%), followed by China (5.1%) and the United Kingdom (4.6%). Our search results comprise of observational studies (43%), case reports/series (27%), review articles (16.5%) and clinical trials (12%). A large proportion of articles were published in Nephrology journals (49%), followed by General Medicine (14%), Surgery (10%), Vascular Medicine (8%), and Interventional Radiology journals (4%). With the introduction of interventional nephrology, nephrologists will be able to assume the majority of the responsibility for dialysis vascular access care and above all maintain a close interdisciplinary collaboration with other specialties to provide optimum patient care. In this review article, we discuss the history, evolving knowledge, challenges, educational opportunities, and future directions of dialysis vascular access care, worldwide.
Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering
Radhakrishnan, Yeshwanter , Jadlowiec, Caroline C. , Mao, Michael A. , Vaitla, Pradeep , Acharya, Prakrati , Leeaphorn, Napat , Kaewput, Wisit , Pattharanitima, Pattharawin , Tangpanithandee, Supawit , Krisanapan, Pajaree , Nissaisorakarn, Pitchaphon , Cooper, Matthew , Cheungpasitporn, Wisit , Radhakrishnan, Yeshwanter , Jadlowiec, Caroline , Mao, Michael A , Kaewput, Wisit , Pattharanitima, Pattharawin , Tangpanithandee, Supawit , Krisanapan, Pajaree , Nissaisorakarn, Pitchaphon , Cooper, Matthew , Cheungpasitporn, Wisit , Thongprayoon, Charat , Mao, Shennen A.

Journal of Personalized Medicine | December 2, 2022 | Volume: 12 | Issue: 12 | Pages: 1992

10.3390/jpm12121992 Get It

Background: Our study aimed to characterize kidney transplant recipients who received high kidney donor profile index (KDPI) kidneys using unsupervised machine learning approach. Methods: We used the OPTN/UNOS database from 2010 to 2019 to perform consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 8935 kidney transplant recipients from deceased donors with KDPI ≥ 85%. We identified each cluster’s key characteristics using the standardized mean difference of >0.3. We compared the posttransplant outcomes among the assigned clusters. Results: Consensus cluster analysis identified 6 clinically distinct clusters of kidney transplant recipients from donors with high KDPI. Cluster 1 was characterized by young, black, hypertensive, non-diabetic patients who were on dialysis for more than 3 years before receiving kidney transplant from black donors; cluster 2 by elderly, white, non-diabetic patients who had preemptive kidney transplant or were on dialysis less than 3 years before receiving kidney transplant from older white donors; cluster 3 by young, non-diabetic, retransplant patients; cluster 4 by young, non-obese, non-diabetic patients who received dual kidney transplant from pediatric, black, non-hypertensive non-ECD deceased donors; cluster 5 by low number of HLA mismatch; cluster 6 by diabetes mellitus. Cluster 4 had the best patient survival, whereas cluster 3 had the worst patient survival. Cluster 2 had the best death-censored graft survival, whereas cluster 4 and cluster 3 had the worst death-censored graft survival at 1 and 5 years, respectively. Cluster 2 and cluster 4 had the best overall graft survival at 1 and 5 years, respectively, whereas cluster 3 had the worst overall graft survival. Conclusions: Unsupervised machine learning approach kidney transplant recipients from donors with high KDPI based on their pattern of clinical characteristics into 6 clinically distinct clusters.
Association of hypochloremia with mortality among patients requiring continuous renal replacement therapy
Thongprayoon, Charat , Radhakrishnan, Yeshwanter , Cheungpasitporn, Wisit , Genovez, Jose Zabala, Chewcharat, Api , Zabala Genovez, Jose, Cheungpasitporn, Wisit , Chewcharat, Api , Thongprayoon, Charat , Radhakrishnan, Yeshwanter , Petnak, Tananchai , Genovez, Jose L. Zabala , Qureshi, Fawad , Mao, Michael A. , Kashani, Kianoush

Journal of Nephrology | March 28, 2022 | Volume: 36 | Issue: 1 | Pages: 161-170

10.1007/s40620-022-01305-0 Get It

Abstract Background Serum chloride derangement is common in critically ill patients requiring continuous renal replacement therapy (CRRT). We aimed to assess the association between serum chloride levels before and during CRRT with mortality. Methods This is a retrospective cohort study of critically ill patients receiving CRRT for acute kidney injury from December 2006 through November 2015 in a tertiary referral hospital in the United States. We used logistic regression to assess serum chloride before and mean serum chloride during CRRT as predictors for 90 days mortality after CRRT initiation. The normal reference range for serum chloride was 99–108 mmol/L. Results Of 1282 eligible patients, 25%, 50%, and 25% had hypochloremia, normochloremia, and hyperchloremia, respectively. The adjusted odds ratio for 90 days mortality in patients with hypochloremia before CRRT was 1.82 (95% CI 1.29–2.55). During CRRT, 4%, 70%, 26% of patients had mean serum chloride in the hypochloremia, normochloremia, and hyperchloremia range, respectively. The adjusted odds ratio for 90 days mortality in patients with mean serum chloride during CRRT in the hypochloremia range was 2.96 (95% CI 1.43–6.12). Hyperchloremia before and during CRRT was not associated with mortality. The greater serum chloride range during CRRT was associated with increased mortality (OR 1.29; 95% CI 1.13–1.47 per 5 mmol/L increase). Conclusion Hypochloremia before and during CRRT is associated with higher mortality.
Association of serum potassium derangements with mortality among patients requiring continuous renal replacement therapy
Thongprayoon, Charat , Cheungpasitporn, Wisit , Radhakrishnan, Yeshwanter , Genovez, Jose L. Zabala , Shawwa, Khaled , Zabala Genovez, Jose L, Cheungpasitporn, Wisit , Thongprayoon, Charat , Radhakrishnan, Yeshwanter , Petnak, Tananchai , Qureshi, Fawad , Mao, Michael A. , Kashani, Kianoush

Therapeutic Apheresis and Dialysis | January 23, 2022 | Volume: 26 | Issue: 6 | Pages: 1098-1105

10.1111/1744-9987.13804 Get It

AbstractIntroductionWe aimed to assess the association between serum potassium and mortality in patients receiving continuous renal replacement therapy (CRRT).MethodsWe studied 1279 acute kidney injury patients receiving CRRT in a tertiary referral hospital in the United States. We used logistic regression to assess the association of serum potassium before CRRT and mean serum potassium during CRRT with 90‐day mortality after CRRT initiation, using serum potassium 4.0–4.4 mmol/L as reference group.ResultsBefore CRRT, there was a U‐shaped association between serum potassium and 90‐day mortality. There was a significant increase in mortality when serum potassium before CRRT was ≤3.4 and ≥4.5 mmol/L. During CRRT, progressively increased mortality was noted when mean serum potassium was ≥4.5 mmol/L. The odds ratio of 90‐day mortality was significantly higher when mean serum potassium was ≥4.5 mmol/L.ConclusionHypokalemia and hyperkalemia before CRRT and hyperkalemia during CRRT predicts 90‐day mortality.