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January 24, 2026BMJ Open Respiratory Research2 citationsOpen Access

Innovative Inflammatory Burden Index for identification of high mortality risk in patients with pulmonary embolism: a large retrospective cohort study

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NZNing ZhuLZLei ZhangSLShanhong Lin

Key Points

  • This research evaluates the predictive value of a novel Inflammatory Burden Index for long-term mortality in acute pulmonary embolism.
  • Retrospective analysis of 1642 patients with acute pulmonary embolism.
  • Determined optimal IBI cut-off using max selected rank statistics.
  • Assessed association between high IBI and all-cause mortality with multivariable Cox models.
  • Compared predictive performance using time-dependent ROC curves.
  • Evaluated variable importance with random survival forest analysis.
  • 262 patients (16.0%) died during a median follow-up of 41.2 months.
  • High IBI was linked to an adjusted HR of 2.33 for increased mortality risk (p<0.001).
  • IBI demonstrated superior prognostic accuracy with AUC values of 0.73, 0.74, and 0.75 at 1, 3, and 5 years.
  • Addition of IBI improved AUC across all time points compared to traditional biomarkers.
  • IBI confirmed as the most important predictor of long-term mortality through RSF analysis.

Abstract

Background The prognostic significance of systemic inflammation in pulmonary embolism (PE) remains unclear. This study aimed to evaluate the predictive value of a novel Inflammatory Burden Index (IBI) for long-term mortality in patients with acute PE. Methods A total of 1642 patients with acute PE were retrospectively analysed. The optimal cut-off for IBI was determined using maximally selected rank statistics. The association between high IBI and all-cause mortality was assessed using multivariable Cox proportional hazards models. The predictive performance of IBI and its individual components was compared using time-dependent receiver operating characteristic (ROC) curves. Variable importance for mortality prediction was further evaluated using random survival forest (RSF) analysis. Results During a median follow-up of 41.2 months, 262 patients (16.0%) died. High IBI was independently associated with increased risk of all-cause mortality (adjusted HR 2.33, 95% CI 1.78 to 3.04; p<0.001). Time-dependent ROC analysis demonstrated that IBI provided superior prognostic accuracy for mortality, with area under the curve (AUC) values of 0.73, 0.74 and 0.75 at 1, 3 and 5 years, respectively, which were higher than those of C-reactive protein, neutrophil count and lymphocyte count. Addition of IBI to the basic clinical model significantly improved the AUC at all time points. RSF analysis confirmed that IBI was the most important inflammatory predictor of long-term mortality. Conclusions The IBI is a robust and independent predictor of long-term mortality in patients with acute PE and offers incremental prognostic value beyond conventional risk factors. Incorporating IBI into clinical risk stratification may improve patient management and outcomes.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69746149bb9d90c67120b1f6https://doi.org/10.1136/bmjresp-2025-003743
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