How to apply biomarkers to optimize antibiotic utilization in hospital-acquired pneumonia?
Year: 2026
Type: article
Abstract: Decades of biomarker research in sepsis have not translated into consistent changes in practice for hospital-acquired pneumonia (HAP). HAP remains among the most consequential healthcare-associated infections, contributing substantially to morbidity, mortality, and antimicrobial pressure in hospitalized patients. Its management is complicated by diagnostic imprecision and by pathogen heterogeneity, including a disproportionate burden of multidrug-resistant organisms. In this clinical setting, biomarkers have been introduced in clinical practice as adjunctive tools to support diagnostic frameworks and antibiotic stewardship, yet their integration into routine care remains variable and their limitations are frequently underappreciated. Moreover, most of the supporting evidence derives from ventilator-associated pneumonia (VAP), severe community-acquired pneumonia, or mixed sepsis populations, whereas most HAP occurs in non-ventilated patients, in whom biomarker-guided strategies remain largely unstudied. This narrative review argues that the clinical value of procalcitonin and C-reactive protein in HAP lies not in point-in-time diagnosis but in serial kinetic monitoring. We further argue that the value of biomarker-guided treatment-duration strategies specifically is context-dependent, diminishing as baseline antibiotic prescribing improves. We examine the evidence across the full spectrum of HAP management, diagnostic adjunction, treatment monitoring, de-escalation, and discontinuation, applying a clinical function-based framework derived from the NIH/FDA BEST taxonomy. We critically appraise the conditions under which biomarker guidance adds clinical value, specifically where empirical antibiotic courses are prolonged beyond recommended standards, and the contexts in which it does not. We critically appraise landmark trials, including PASS and ADAPT-SEPSIS, where biomarker-guided strategies paradoxically increased antibiotic exposure or failed to outperform already-adequate standard care, and contrast these with kinetic-guided discontinuation protocols, including double-trigger models embedded within digital clinical decision support, that meaningfully shortened treatment without compromising safety. The central message is not a dismissal of biomarkers but a conditional endorsement: their benefit depends on baseline prescribing habits, kinetic rather than threshold-based interpretation, and integration with clinical trajectory rather than substitution for it. Whether these principles extend to non-ventilated HAP requires dedicated evaluation. The immediate clinical priority is not measuring existing biomarkers less often but interpreting and integrating them more correctly within the clinical trajectory.
Institutions: University of Lisbon, Hospital of St. Francis Xavier, Comprehensive Health Research Centre, Universidade Nova de Lisboa, Hospital de Santa Maria, Unidade Local de Saúde Santa Maria, Ghent University Hospital, Ghent University, Università Cattolica del Sacro Cuore, Agostino Gemelli University Polyclinic, Istituti di Ricovero e Cura a Carattere Scientifico, University of Southern Denmark, Odense University Hospital, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Hospital Mãe de Deus, Trinity College Dublin, St. James's Hospital, Centre Hospitalier Universitaire de Lille, University of Cambridge, Addenbrooke's Hospital, Universidade Federal de Minas Gerais, Centre National de la Recherche Scientifique, Inserm, Université de Lille, Hôpital Roger Salengro, Unité de Glycobiologie Structurale et Fonctionnelle, Université de Montpellier, Centre Hospitalier Universitaire de Montpellier, Centre Hospitalier Universitaire de Nîmes, Initial MAnagement and prevention of acute orGan failures IN critically ill patiEnts, Universidade Federal do Rio de Janeiro, D’Or Institute for Research and Education, University of California San Diego
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,290
OpenAlex ID: W7225419025
