Usefulness of midregional proadrenomedullin to predict poor outcome in patients with community acquired pneumonia

• Published in: PloS one 2015-06, Vol.10 (6), p.e0125212-e0125212
• Main Authors: Gordo-Remartínez, Susana, Calderón-Moreno, María, Fernández-Herranz, Juan, Castuera-Gil, Ana, Gallego-Alonso-Colmenares, Mar, Puertas-López, Carolina, Nuevo-González, José A, Sánchez-Sendín, Domingo, García-Gámiz, Mercedes, Sevillano-Fernández, José A, Álvarez-Sala, Luis A, Andueza-Lillo, Juan A, de Miguel-Yanes, José M
• Format: Article
• Language: English
• Subjects: Adrenomedullin; Adrenomedullin - blood; Aged; Aged, 80 and over; Antibiotics; Biomarkers; Biomarkers - blood; Communities; Community-Acquired Infections - blood; Community-Acquired Infections - pathology; Critical care; Decision making; Emergency medical care; Emergency medical services; Endocrinology; Female; Hospitals; Humans; Infections; Intensive care; Internal medicine; Male; Mathematical models; Medical prognosis; Medicine; Middle Aged; Moreno, Juan; Mortality; Patients; Pneumonia; Pneumonia - blood; Pneumonia - pathology; Prognosis; Prospective Studies; Protein Precursors - blood; Reclassification; Regression analysis; Sepsis; Severity of Illness Index; Statistical analysis; Studies
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0125212

midregional proadrenomedullin (MR-proADM) is a prognostic biomarker in patients with community-acquired pneumonia (CAP). We sought to confirm whether MR-proADM added to Pneumonia Severity Index (PSI) improves the potential prognostic value of PSI alone, and tested to what extent this combination could be useful in predicting poor outcome of patients with CAP in an Emergency Department (ED). Consecutive patients diagnosed with CAP were enrolled in this prospective, single-centre, observational study. We analyzed the ability of MR-proADM added to PSI to predict poor outcome using receiver operating characteristic (ROC) curves, logistic regression and risk reclassification and comparing it with the ability of PSI alone. The primary outcome was "poor outcome", defined as the incidence of an adverse event (ICU admission, hospital readmission, or mortality at 30 days after CAP diagnosis). 226 patients were included; 33 patients (14.6%) reached primary outcome. To predict primary outcome the highest area under curve (AUC) was found for PSI (0.74 [0.64-0.85]), which was not significantly higher than for MR-proADM (AUC 0.72 [0.63-0.81, p > 0.05]). The combination of PSI and MR-proADM failed to improve the predictive potential of PSI alone (AUC 0.75 [0.65-0.85, p=0.56]). Ten patients were appropriately reclassified when the combined PSI and MR-proADM model was used as compared with the model of PSI alone. Net reclassification improvement (NRI) index was statistically significant (7.69%, p = 0.03) with an improvement percentage of 3.03% (p = 0.32) for adverse event, and 4.66% (P = 0.02) for no adverse event. MR-proADM in combination with PSI may be helpful in individual risk stratification for short-term poor outcome of CAP patients, allowing a better reclassification of patients compared with PSI alone.