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BMI Variability Independent Predictor of DKD Progression in Type 1 Diabetes, Finds Study
UK: New research has revealed that fluctuations in body mass index (BMI) may independently predict the progression of diabetic kidney disease (DKD) in people with type 1 diabetes (T1DM). This association appears to persist regardless of other established risk factors. However, further studies are needed to clarify the biological mechanisms involved and to determine whether stabilizing BMI can improve clinical outcomes in DKD.
A study published in Diabetes/Metabolism Research and Reviews by Murat Ozdede and colleagues examined the link between BMI variability and kidney disease progression in individuals with T1DM. While BMI fluctuations have previously been associated with adverse outcomes in type 2 diabetes, evidence in type 1 diabetes has remained limited.
The researchers analyzed data from 3,270 individuals with T1DM attending two university hospital clinics between 2004 and 2018. All participants had relatively preserved kidney function at baseline, with an estimated glomerular filtration rate (eGFR) of at least 45 mL/min/1.73 m², and multiple BMI measurements over time. Various statistical approaches were used to assess BMI variability, including standard deviation and other variability indices designed to capture fluctuations independent of average BMI.
The study led to the following findings:
- Over a median follow-up of nearly 10 years, 5.5% of participants developed significant kidney function decline, defined as ≥50% reduction in eGFR with advanced impairment.
- Patients who reached this endpoint were generally older.
- These individuals had higher baseline HbA1c levels.
- Higher systolic blood pressure was observed in those with disease progression.
- Increased albuminuria was also noted among affected participants.
- Greater BMI variability was consistently seen in patients with kidney disease progression.
- A higher proportion of individuals of African-Caribbean ethnicity was present in the progression group.
- After adjusting for multiple factors, all BMI variability measures remained significantly associated with DKD progression.
- Visit-adjusted standard deviation showed one of the strongest associations with disease progression.
- Average real variability was also strongly linked to worsening kidney outcomes.
- Greater fluctuations in BMI were independently associated with increased risk of DKD progression.
The findings suggest that “metabolic instability,” reflected by BMI fluctuations, may contribute to kidney disease progression in T1DM, offering added prognostic value beyond average BMI.
Clinically, tracking BMI variability could help identify high-risk patients earlier. Stabilizing body weight may help slow disease progression, though this requires confirmation.
However, as an observational study, causality cannot be established. Further research is needed to clarify mechanisms and assess whether reducing BMI variability improves outcomes.
Overall, the study highlights the importance of monitoring both average metabolic levels and their variability in managing T1DM and preventing diabetic kidney disease.
Reference:
Ozdede, M., Pavlou, P., Avataneo, M., Thomas, S., Ayis, S., & Karalliedde, J. (2026). Impact of Body Mass Index Variability on Kidney Disease Progression in a Large Type 1 Diabetes Cohort. Diabetes/Metabolism Research and Reviews, 42(3), e70148. https://doi.org/10.1002/dmrr.70148
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