Mean HbA1c and HbA1c variability help predict diabetes-related complications: Study

Written By :  Medha Baranwal
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2022-09-13 14:30 GMT   |   Update On 2022-09-13 14:31 GMT
Advertisement

Taiwan: Both standard deviation of HbA1c (HbA1c-SD) and mean HbA1c (HbA1c-mean) are associated with diabetes-related complications in type 2 diabetes patients, researchers state in a recent study in Diabetes Research and Clinical Practice. 

"HbA1c-SD, however, was found to be more effective at predicting worsening of renal function and increased mortality, and HbA1c-mean was more effective at predicting retinopathy," the researcher wrote in their study. 

Advertisement

Increasing studies have shown long-term glycemic control to be the main risk factor for the development of micro- and macro-vascular complications in diabetes patients. Various studies also showed that HbA1c variability was positively related to micro- and macro-vascular complications, as well as mortality.

Against the above background, Harn-Shen Chen, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, and colleagues aimed to study different effects of mean HbA1c and HbA1c variability on diabetes-related complications in patients with type 2 diabetes mellitus.

For this purpose, the researchers followed 1869 patients with type 2 diabetes in a Diabetes Shared Care Program for a median of 9.5 years. Calculation of HbA1c-mean and HbA1c-SD was done during the first 5 years. The clinical outcomes included retinopathy (any and advanced), nephropathy (urine albumin-to-creatinine ratio [UACR] > 300 mg/g and doubling of serum creatinine), and mortality (due to all-causes, and cardiovascular disease [CVD]). 

Based on the study, the researchers found the following:

· HbA1c-mean was independently associated with UACR >300 mg/g (Hazard ratio [HR] 1.308), any retinopathy (HR 1.274), and advanced retinopathy (HR 1.237).

· HbA1c-SD was independently associated with UACR >300 mg/g (HR 1.478), doubling of serum creatinine (HR 2.133), all-cause mortality (HR 1.880), and CVD mortality (HR 1.431).

· Receiver operating characteristic (ROC) curves showed HbA1c-mean was more associated with any retinopathy, whereas HbA1c-SD was more associated with doubling of serum creatinine, all-cause and CVD mortality.

"Our study showed that increased mean HbA1c and HbA1c variability was linked to a significantly increased risk of developing a UACR > 300 mg/g," the researchers wrote in their study. "This indicates kidney function worsening." 

"Increased mean HbA1c was tied to a significantly increased retinopathy risk, while increased HbA1c variability was linked with a significantly increased risk of doubling serum creatinine (indicating deterioration of renal function), CVD mortality, and all-cause mortality. 

Reference:

Wu TE, Su YW, Chen HS. Mean HbA1c and HbA1c Variability are Associated with Differing Diabetes-related Complications in Patients with Type 2 Diabetes Mellitus. Diabetes Res Clin Pract. 2022 Sep 3:110069. doi: 10.1016/j.diabres.2022.110069. Epub ahead of print. PMID: 36067915.

Tags:    
Article Source : Diabetes Research and Clinical Practice

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