Key result
Three-axis burden score linked to ~20% higher in-hospital mortality per point, but fails external validation.
Why the study?
ICU patients with HF and AF have substantial in-hospital mortality, and it was uncertain whether a 0–3 burden score combining a low PNI, a high NLR, and a low dLCR is associated with in-hospital mortality after adjustment or improves discrimination across databases.
Does a 0–3 three-axis burden score (combining low prognostic nutritional index, high neutrophil-to-lymphocyte ratio, and low dynamic lactate clearance rate) predict in-hospital all-cause mortality and improve discrimination over a 43-variable reference model in adult ICU patients with heart failure and atrial fibrillation?
Cohort (n=10,150)
Yes
Does a 0–3 three-axis burden score (combining low prognostic nutritional index, high neutrophil-to-lymphocyte ratio, and low dynamic lactate clearance rate) predict in-hospital all-cause mortality and improve discrimination over a 43-variable reference model in adult ICU patients with heart failure and atrial fibrillation?
A three-axis biomarker burden score (low PNI, high NLR, low lactate clearance) provides minimal incremental discrimination over routine ICU variables in MIMIC-IV and fails to validate as an independent or transportable predictor of in-hospital mortality in eICU-CRD among ICU patients with heart failure and atrial fibrillation.
Background ICU patients with heart failure (HF) and atrial fibrillation (AF) have substantial in-hospital mortality. We defined a 0–3 burden score from a low prognostic nutritional index (PNI), a high neutrophil-to-lymphocyte ratio (NLR) and a low dynamic lactate clearance rate (dLCR), and asked whether the count is associated with in-hospital mortality after adjustment and whether it improves discrimination in a second database. Methods Cut-points were the medians of observed values in MIMIC-IV and were applied unchanged in both cohorts. Derivation used MIMIC-IV v3.1 (n = 7,562; 1,222 deaths, 16.2%) and external assessment used eICU-CRD 2.0 (n = 2,588; 414 deaths, 16.0%). Missing values were handled by multiple imputation (m = 10). Associations were odds ratios from logistic models. Incremental discrimination was the change in area under the curve relative to a 43-variable reference model. Results In the imputed cohorts, in-hospital mortality rose from 10.8% to 24.9% in MIMIC-IV and from 10.2% to 24.0% in eICU-CRD across scores 0 to 3. Among patients in whom all three axes were measured, mortality was higher at every score, and the eICU-CRD gradient was not monotonic. In MIMIC-IV each additional point had an adjusted odds ratio of 1.20 (95% CI 1.08–1.33). The corresponding estimate in eICU-CRD was 1.14 (0.97–1.35). Out-of-fold, the score raised the AUC of a reference model that already contained albumin, the white-cell count and lactate by 0.0028 (0.0011–0.0045), less than the gain from the axes as continuous terms. That increment was not detectable when the models were refitted in eICU-CRD. The reference model kept its rank order after transport (AUC 0.711) but was miscalibrated; two-parameter recalibration, evaluated out of fold, lowered the Brier score from 0.140 to 0.124. Conclusions The count is a descriptive stratification tied to the derivation cut-points. The adjusted association is supported in MIMIC-IV and not in eICU-CRD. It is not a validated or transportable prediction tool, and the absolute risks from the reference model are not available from the three measurements alone.
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Wang¹ et al. (2026) conducted a cohort in Heart failure and atrial fibrillation (n=10,150). Three-axis burden score (per 1-point increase based on PNI <38.0, NLR >=9.24, and dLCR <12.5%) vs. Lower score / per 1-point difference adjusted for 43-variable reference model was evaluated on In-hospital all-cause mortality (MIMIC-IV derivation cohort, per point adjusted) (OR 1.20, 95% CI 1.08-1.33, p=<0.001). A three-axis burden score was associated with in-hospital mortality in MIMIC-IV (adjusted OR 1.20 per point, 95% CI 1.08-1.33), but not in eICU-CRD (OR 1.14, 95% CI 0.97-1.35).
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