Cardiovascular

Disproportionate reporting of euglycaemic and diabetic ketoacidosis with SGLT-2 inhibitors across expanding cardiorenal indications: a cross-database study of FAERS and JADER.

TL;DR

The SGLT-2 inhibitor ketoacidosis signal was maintained, not diluted, across expanding cardiorenal indications, with euDKA concentrated within this class and early onset, warranting ketone-based assessment when ketoacidosis is suspected particularly soon after initiation.

Key Findings

The DKA signal for SGLT-2 inhibitors met four-method consensus within every indication stratum, including heart failure and chronic kidney disease, and was not diluted as indications expanded.

  • Signal detection required consensus across four methods: ROR, PRR, IC, and EBGM/EB05
  • Analyses were stratified by report-level indication: T2DM, HF, CKD, and off-label T1DM
  • The DKA signal was highest in off-label T1DM use
  • Data spanned FAERS (2020Q1–2026Q1) and Japanese JADER databases

Overall disproportionality reporting ratios for DKA with SGLT-2 inhibitors were large and statistically significant in both databases.

  • Overall ROR was 67.4 (95% CI 65.7–69.2) in FAERS
  • Overall ROR was 112.3 (95% CI 104.8–120.3) in JADER
  • The signal was reproduced across two independent pharmacovigilance reporting systems
  • An active comparator (DPP-4 inhibitors) was used as a benchmark

SGLT-2 inhibitors accounted for the large majority of all euglycaemic DKA reports in both databases.

  • SGLT-2 inhibitors accounted for 85.8% of all euDKA reports in FAERS
  • SGLT-2 inhibitors accounted for 91.7% of all euDKA reports in JADER
  • euDKA represented only 4.1% of SGLT-2 inhibitor reports in FAERS and 7.8% in JADER
  • euDKA was highly concentrated within the SGLT-2 inhibitor class relative to other drug classes

Time-to-onset modelling indicated that ketoacidosis events associated with SGLT-2 inhibitors occurred relatively early after initiation, with a median onset of 60 days.

  • Median time-to-onset was 60 days
  • Weibull shape parameter β = 0.48 (95% CI 0.46–0.50), indicating a decreasing hazard over time
  • A β value below 1 suggests risk is highest shortly after drug initiation and diminishes thereafter

Both pre-specified negative controls produced null signals in both databases, supporting the specificity of the SGLT-2 inhibitor DKA finding.

  • Two negative controls were pre-specified before analysis
  • Neither negative control generated a signal in FAERS or JADER
  • Null negative control results help validate the analytical pipeline and reduce concern for systematic bias

The study used a cross-database disproportionality design that cannot establish incidence, relative risk, or causality, and findings are hypothesis-generating.

  • Both FAERS and JADER are spontaneous adverse event reporting systems subject to reporting biases
  • A single analytical pipeline was applied to both databases to facilitate comparability
  • Authors explicitly state: 'these are hypothesis-generating signals that cannot establish incidence, relative risk, or causality'
  • Sensitivity analyses were conducted alongside the main disproportionality analyses

What This Means

This research suggests that a known safety concern with SGLT-2 inhibitors — a dangerous condition called ketoacidosis, including a form where blood sugar appears normal (euglycaemic DKA or euDKA) — remains prominent even as these drugs are increasingly prescribed to patients with heart failure and chronic kidney disease, not just type 2 diabetes. The researchers analyzed two large databases of adverse drug event reports, one from the United States and one from Japan, and found that the signal for ketoacidosis with SGLT-2 inhibitors was strong and consistent across all patient groups studied. SGLT-2 inhibitors accounted for over 85% of all euDKA reports in both databases, even though euDKA made up only a small fraction of all reports linked to these drugs. One particularly important finding is that the risk appeared to be highest soon after patients started taking these medications, with a median time to onset of about 60 days and a statistical pattern suggesting the hazard decreases over time. The signal was also strongest in patients using these drugs off-label for type 1 diabetes. The fact that the same pattern emerged independently in both the U.S. and Japanese reporting systems adds confidence that this is a real pharmacological signal rather than a data artifact, especially since two pre-specified 'negative control' outcomes showed no signal, supporting the reliability of the methods used. This research suggests that clinicians and patients should be aware that euDKA can occur even when blood sugar levels look normal, particularly in the weeks following initiation of SGLT-2 inhibitors — and this applies not just to diabetes patients but also to those taking these drugs for heart failure or kidney disease, who may not have routine glucose monitoring. The authors recommend ketone-based testing (rather than relying solely on blood glucose) when ketoacidosis is suspected. Because this was a reporting database study, it cannot prove causation or determine how often these events occur in the broader population, and the findings are described as hypothesis-generating.

Have a question about this study?

Citation

Chen J, Wang D, Duan X, Wang J, Zhao Z, Xing X. (2026). Disproportionate reporting of euglycaemic and diabetic ketoacidosis with SGLT-2 inhibitors across expanding cardiorenal indications: a cross-database study of FAERS and JADER.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1957734