Cardiometabolic & kidney

Optimal Screening for Predicting and Preventing the Risk of Heart Failure Among Adults With Diabetes Without Atherosclerotic Cardiovascular Disease: A Pooled Cohort Analysis

CirculationPublished Pooled cohort analysis

Authors' conclusion

Selective NT-proBNP testing based on the WATCH-DM score efficiently identified a high-risk primary prevention population with diabetes expected to derive marked absolute benefits from SGLT2i to prevent HF.

Study context

Population
Adults with diabetes, no heart failure (HF) and no atherosclerotic cardiovascular disease (ASCVD) at baseline77.7% without ASCVD
Participants
6,293 adults
Exposure
1-step vs 2-step HF screening strategies
Outcome
Proportion of HF events identified, NNT and number needed to screen to prevent 1 HF event with an SGLT2i, and cost of screening
Follow-up
5 years
Methodological details7 community-based cohorts
  • 7 community-based cohorts

Main finding

As reported in the abstract

HF events captured, NNT, number needed to screen and cost by screening strategy
GroupCost
WATCH-DM/NT-proBNP$1061
NT-proBNP/hs-cTn$2894
NT-proBNP/echo-DbCM$16 358

Cost

WATCH-DM/NT-proBNP$1061
NT-proBNP/hs-cTn$2894
NT-proBNP/echo-DbCM$16 358
1-step strategies: NNT in high-risk participants (22 for NT-proBNP to 37 for echo-DbCM)
22–37
1-step strategies: HF events among low-risk participants (29% for echo-DbCM to 47% for hs-cTn)
29%–47%
2-step strategies: HF events captured in high-risk subgroup
75-89%
2-step strategies: NNT
30-32
2-step strategies: number needed to screen, similar
45-61

Observational data: associations, not effects.

Further findings

Incident HF and NNT with SGLT2i, participants without ASCVD · 5 years

Incident HF
6.2%
NNT to prevent 1 HF event with SGLT2i
43 (95% CI, 29-72)

Original publication

Optimal Screening for Predicting and Preventing the Risk of Heart Failure Among Adults With Diabetes Without Atherosclerotic Cardiovascular Disease: A Pooled Cohort Analysis. Circulation. Published 11 November 2023. doi:10.1161/circulationaha.123.067530

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