Objective The methods currently used to calculate GFR underestimate this measurement in the population of diabetic patients, so there is a need to look for more accurate methods of estimating GFR in this specific population. This study aims to evaluate a predictive model based on the use of HbA1c to estimate the variability of GFR in diabetic patients with or without CKD.

Methods We analyzed data from diabetic patients belonging to a cohort of prospective follow-up of a renal health surveillance program attached to a Peruvian hospital. The following factors were included in the multiple linear regression model: age, sex, diastolic blood pressure (DBP), systolic blood pressure (SBP), body mass index (BMI), cholesterol, triglycerides, HDL, LDL, serum creatinine, Urinary creatinine, microalbuminuria, hemoglobin, basal glycemia and HbA1c.

Results 122 patients were included in the analysis. The final multivariate model, which included variation of HbA1c, age and creatinine variation, was very significant (p <0.0001) with an adjusted R2 of 80%. The other variables analyzed were not significant to predict the variation of the GFR despite showing some correlation.

Conclusions The study shows that HbA1c, age and creatinine variation significantly predict the variation of GFR in diabetic patients with or without CKD and opens the possibility of use as a prognostic tool for this specific population.

The authors have declared no competing interest.

This study did not receive any funding

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

Hospital I Pacasmayo Ethics Committee: approval 2018-37

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Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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Yes

↵(a) Resident Physician of Neurology. MSc (c)

↵(b) Epidemiological Physician. MSc (c)

Sources of financial support: Self-financed.

Conflict of interest: The authors declare that they have no conflicts of interest.

All data produced in the present study are available upon reasonable request to the authors