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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
The LENT index predicts 30 day outcomes following hospitalization for heart failure
Harriette Gc Van Spall1,2,3, Tauben Averbuch1, Shun Fu Lee2,3
1Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Insights
The new LENT index, combining hospitalization length, emergent visits, and NT-proBNP levels, effectively predicts 30-day heart failure readmission or death. This simple tool improves risk prediction at hospital discharge.
Area of Science:
- Cardiology
- Biomarkers
- Health Services Research
Background:
- Heart failure (HF) hospitalization carries a significant risk of 30-day all-cause readmission or death.
- Existing risk prediction tools, like the LE index, may not fully capture this risk.
- Accurate point-of-care risk assessment is crucial for effective post-discharge management.
Purpose of the Study:
- To derive and validate the LENT index, incorporating N-terminal pro-B type natriuretic peptide (NT-proBNP) levels with the LE index.
- To assess the LENT index's ability to predict 30-day composite all-cause readmission or death in HF patients at hospital discharge.
- To compare the predictive performance of the LENT index against the LE index alone.
Main Methods:
- Prospective cohort sub-study within the Patient-centred Care Transitions in HF clinical trial.
- Log-binomial regression models were used with the LE index and NT-proBNP (admission or discharge) to predict the primary outcome.
- The LENT index was derived using regression coefficients and internally validated via bootstrapping.
Main Results:
- Each increment in the LE index was associated with a 25% increased risk of the primary outcome.
- NT-proBNP levels (admission or discharge) significantly increased the risk of the primary outcome, independent of the LE index.
- The LENT index demonstrated improved risk reclassification compared to the LE index alone, with comparable performance to complex models.
Conclusions:
- The point-of-care LENT index is a simple, effective tool for predicting 30-day readmission or death in HF patients.
- The LENT index offers improved risk prediction over the LE index, even without considering comorbidities.
- This 3-variable index provides a valuable, easily applicable method for risk stratification at hospital discharge.
Aims:
The LE index (Length of hospitalization plus number of Emergent visits ≤6 months) predicts 30 day all-cause readmission or death following hospitalization for heart failure (HF). We combined N-terminal pro-B type natriuretic peptide (NT-proBNP) levels with the LE index to derive and validate the LENT index for risk prediction at the point of care on the day of hospital discharge.
Methods And Results:
In this prospective cohort sub-study of the Patient-centred Care Transitions in HF clinical trial, we used log-binomial regression models with LE index and either admission or discharge NT-proBNP as the predictors and 30 day composite all-cause readmission or death as the primary outcome. No other variables were added to the model. We used regression coefficients to derive the LENT index and bootstrapping analysis for internal validation. There were 772 patients (mean [SD] age 77.0 [12.4] years, 49.9% female). Each increment in the LE index was associated with a 25% increased risk of the primary outcome (RR 1.25, 95% CI 1.16-1.35; C-statistic 0.63). Adjusted for the LE index, every 10-fold increase in admission and discharge NT-proBNP was associated with a 48% (RR 1.48; 95% CI 1.10, 1.99; C-statistic 0.64; net reclassification index [NRI] 0.19) and 56% (RR 1.56; 95% CI 1.08, 2.25; C-statistic 0.64; NRI 0.21) increased risk of the primary outcome, respectively. The predicted probability of the primary outcome increased to a similar extent with incremental LENT, regardless of whether admission or discharge NT-proBNP level was used.
Conclusions:
The point-of-care LENT index predicts 30 day composite all-cause readmission or death among patients hospitalized with HF, with improved risk reclassification compared with the LE index. The performance of this simple, 3-variable index - without adjustment for comorbidities - is comparable to complex risk prediction models in HF.
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