Type 1 diabetes

Risk score for lower-limb amputation and its ability to predict major kidney and cardiovascular events in people with type 1 diabetes

Cardiovasc DiabetolPublished Prognostic model development and validation study

Performance · LLAResult — go to the resultMultivariable-adjusted HR 6.02 95% CI 1.92–18.89

Authors' conclusion

This newly developed 10-year LLA risk score achieved excellent ability to identify individuals with type 1 diabetes at high risk for LLA, kidney failure, CVD, and MACE.

Study context

Population
Individuals with T1D in prospective French and Belgian cohorts (GENEDIAB, GENESIS); external validation in SURGENE247 in validation cohort
Participants
828 individuals
Comparison
Highest vs lowest lower-limb amputation (LLA) risk score
Outcome
Non-traumatic lower-limb amputation (LLA) above the metatarsophalangeal joint
Follow-up
10-year risk
Methodological detailsprospective cohorts, external validation
  • Prospective cohorts
  • External validation

Performance

LLA · 12 years of follow-up

Multivariable-adjusted HR

6.02

95% CI 1.92–18.89

Highest scorevs Lowest score
multivariable-adjusted HR 6.02 (95% CI 1.92–18.89)

As reported in the abstract

LLA events
71 (9%)
C-index for LLA
0.82 [0.77-0.87]

Further findings

OutcomeMultivariable-adjusted HR (95% CI)
Kidney failure · 12 years of follow-up8.97 (3.95–20.37)
CVD · 12 years of follow-up2.50 (1.34–4.64)
MACE · 12 years of follow-up1.91 (1.24–2.96)
Kidney failure — Kidney failure events
84 (11%)
Kidney failure — C-index
0.86 [0.82-0.91]
Cardiovascular disease (CVD) — CVD events
138 (17%)
CVD — C-index
0.73 [0.68-0.78]
Major adverse cardiac event (MACE) — MACE events
265 (32.0%)
MACE — C-index
0.71 [0.68-0.75]

External validation (SURGENE)

Similar predictive performance in the validation cohort

Original publication

Risk score for lower-limb amputation and its ability to predict major kidney and cardiovascular events in people with type 1 diabetes. Cardiovasc Diabetol. Published 29 January 2026. doi:10.1186/s12933-025-03056-1

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.