Silvi Shah, MD,MS,FASN,FACP Associate Professor Internal Medicine | College of Medicine University of Cincinnati College of Medicine

Clinical Score Predicts Recovery From Dialysis Dependent Acute Kidney Injury

MedicalResearch.com Interview with:

Silvi Shah, MD,MS,FASN,FACPAssociate Professor
Internal Medicine | College of Medicine
University of Cincinnati College of Medicine

Dr. Shah

Silvi Shah, MD,MS,FASN,FACP
Associate Professor
Internal Medicine | College of Medicine
University of Cincinnati College of Medicine

MedicalResearch.com: What is the background for this study?

Response: AKI  (Acute Kidney Injury) is a major contributor to end-stage kidney disease (ESKD).

About a third of patients with ESKD recover kidney function due to AKI. The study looked at the health outcomes of 22,922 patients from the U.S. Renal Data System from 2005 to 2014 to construct a clinical scoring system to predict kidney recovery within 90 days and 12 months after the start of dialysis for kidney failure patients due to acute kidney injury (AKI)

MedicalResearch.com: What should readers take away from your report?

Response: Our results indicate that about one-fourth of patients with dialysis-dependent AKI will recover within 90 days, and around one-third of those patients will recover within 1 year. Several factors can predict recovery. If you have a lower body mass index, are Black, have congestive heart failure, or have a history of amputation, you have lower chances of recovery. The clinical score developed by our team helps us to do a risk prediction and, at the same time, allows us to tell patients and healthcare providers what percentage of recovery may be expected.  If you fall in the high score category, dialysis-dependent AKI patients have a 57% chance of recovery in 90 days. This is very encouraging for both patients and physicians.” 

MedicalResearch.com: What recommendations do you have for future research as a results of this study?

Response: Future research should focus on guidelines and protocols for monitoring kidney function recovery in dialysis-dependent AKI patients and developing interventions to promote kidney function recovery. 

Disclosures: Dr. Silvi Shah is supported by a K23 career development award from the National Institutes of Health.

Citation: Silvi Shah, Jia H Ng, Anthony C Leonard, Kathleen Harrison, Karthikeyan Meganathan, Annette L Christianson, Charuhas V Thakar, A clinical score to predict recovery in end-stage kidney disease due to acute kidney injury, Clinical Kidney Journal, Volume 17, Issue 5, May 2024, sfae085, https://doi.org/10.1093/ckj/sfae085

The information on MedicalResearch.com is provided for educational purposes only, and is in no way intended to diagnose, cure, or treat any medical or other condition.

Some links may be sponsored. Products are not endorsed.

Always seek the advice of your physician or other qualified health and ask your doctor any questions you may have regarding a medical condition. In addition to all other limitations and disclaimers in this agreement, service provider and its third party providers disclaim any liability or loss in connection with the content provided on this website.

 

Last Updated on May 30, 2024 by Marie Benz MD FAAD