A New Scoring System for Predicting Mortality in Hematological Malignancies with Sepsis: A Derivation and Validation...

Area of Science:

• Hematology
• Critical Care Medicine
• Prognostic Modeling

Background:

• Hematological malignancies (HMs) combined with sepsis present a high mortality risk.
• Accurate prognostic tools are crucial for timely intervention in these critically ill patients.

Purpose of the Study:

• To develop and validate a novel scoring system for predicting 28-day mortality in patients with HMs and sepsis.
• To compare the predictive accuracy of the new system against the established Sequential Organ Failure Assessment (SOFA) score.

Main Methods:

• Derivation and validation cohorts were established from patient data.
• Univariate and multivariate analyses identified independent predictors of 28-day mortality.
• A scoring system was developed, and its performance was evaluated using receiver operating characteristic (ROC) curves, comparing Area Under the ROC Curve (AUROC), sensitivity, and specificity against the SOFA score.

Main Results:

• The study identified age, SOFA score, and prothrombin time (PT) as independent predictors of mortality.
• The newly developed scoring system demonstrated superior predictive accuracy compared to the SOFA score in both derivation and validation cohorts (e.g., AUROC 0.757 vs 0.716 in derivation).
• The new system showed higher sensitivity and specificity in predicting mortality across both cohorts.

Conclusions:

• The novel scoring system is more accurate than the SOFA score in predicting 28-day mortality for patients with hematological malignancies and sepsis.
• This tool can aid clinicians in identifying high-risk patients, potentially improving outcomes.