Stress Hyperglycemia Ratio Identified as Reliable Predictor of AKI in CKD Patients: Study

Written By :  Jacinthlyn Sylvia
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2025-07-31 14:45 GMT   |   Update On 2025-08-01 06:15 GMT
Advertisement

A new study published in the journal BMC Nephrology revealed that Stress Hyperglycemia Ratio (SHR) is a dependable and independent marker for predicting the risk of acute kidney injury (AKI) and poor renal outcomes in patients with chronic kidney disease (CKD).

Among hospitalized patients, AKI is a common severe condition that carries a significant risk of death. It includes several causes, intricate processes, a high incidence, high death rates, and severe negative outcomes. Individuals who have AKI are 2.67 times more likely to develop or progress to chronic kidney disease, 4.81 times more likely to experience uremia, 38% more likely to experience cardiovascular (CV) events, 1.80 times more likely to die, and 32.4% more likely to readmit within 5 years.

An independent predictor of worse outcomes in critically sick patients is stress hyperglycemia (SH), a transient increase in blood sugar brought on by physiological or psychological stress. However, persistent hyperglycemia can influence fasting blood glucose (FBG) values, making it more difficult to differentiate them from acute hyperglycemia.

The stress hyperglycemia ratio has been proposed as a more accurate way to detect patients' real blood glucose levels. Diabetes mellitus (DM) does not affect SHR, which can measure the severity of SH by reflecting the pace at which fasting glucose levels fluctuate during stress. This study was set to investigate the relationship between SHR and the risk of AKI and mortality in people with chronic kidney disease.

Advertisement

The Medical Information Mart for Intensive Care-IV (MIMIC IV2.2) repository provided the data for this retrospective cohort study. AKI incidence was the main outcome, whereas in-hospital mortality and renal replacement therapy (RRT) were secondary outcomes. The restricted cubic spline (RCS) and Cox proportional hazards models were used to evaluate the relationship between SHR and the risk of AKI in CKD patients. After that, endpoint differences among different SHR levels are analyzed using Kaplan-Meier survival curves.

A total of 795 (31.8%) of the 2,500 CKD patients experienced AKI while in the hospital. The Cox proportional hazards analysis showed that the incidence of AKI and SHR were positively correlated. Greater SHR was associated with a greater risk of AKI, according to the RCS model, which displayed a roughly linear connection.

Overall, the use of SHR to AKI populations with CKD is broadened by this study. In order to improve risk assessment and direct follow-up care, particularly in the community population with diabetes, the SHR value may help in the prompt detection of AKI in people with CKD. 

Source:

Li, J., Wang, L., Zhang, J., Li, X., & Jiao, Z. (2025). Association between stress hyperglycemia ratio (SHR) and the risk of acute kidney injury in patients with chronic kidney disease: analysis of the MIMIC-IV database. BMC Nephrology, 26(1), 310. https://doi.org/10.1186/s12882-025-04212-1

Tags:    
Article Source : BMC Nephrology

Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.

NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.

Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .

Similar News