TY - JOUR
T1 - From ICU Syndromes to ICU Subphenotypes
T2 - Consensus Report and Recommendations for Developing Precision Medicine in the ICU
AU - Gordon, Anthony C
AU - Alipanah-Lechner, Narges
AU - Bos, Lieuwe D
AU - Dianti, Jose
AU - Diaz, Janet V
AU - Finfer, Simon
AU - Fujii, Tomoko
AU - Giamarellos-Bourboulis, Evangelos J
AU - Goligher, Ewan C
AU - Gong, Michelle Ng
AU - Karakike, Eleni
AU - Liu, Vincent X
AU - Lumlertgul, Nuttha
AU - Marshall, John C
AU - Menon, David K
AU - Meyer, Nuala J
AU - Munroe, Elizabeth S
AU - Myatra, Sheila N
AU - Ostermann, Marlies
AU - Prescott, Hallie C
AU - Randolph, Adrienne G
AU - Schenck, Edward J
AU - Seymour, Christopher W
AU - Shankar-Hari, Manu
AU - Singer, Mervyn
AU - Smit, Marry R
AU - Tanaka, Aiko
AU - Taccone, Fabio S
AU - Thompson, B Taylor
AU - Torres, Lisa K
AU - van der Poll, Tom
AU - Vincent, Jean-Louis
AU - Calfee, Carolyn S
PY - 2024/7/15
Y1 - 2024/7/15
N2 - Critical care uses syndromic definitions to describe patient groups for clinical practice and research. There is growing recognition that a "precision medicine" approach is required and that integrated biologic and physiologic data identify reproducible subpopulations that may respond differently to treatment. This article reviews the current state of the field and considers how to successfully transition to a precision medicine approach. To impact clinical care, identification of subpopulations must do more than differentiate prognosis. It must differentiate response to treatment, ideally by defining subgroups with distinct functional or pathobiological mechanisms (endotypes). There are now multiple examples of reproducible subpopulations of sepsis, acute respiratory distress syndrome, and acute kidney or brain injury described using clinical, physiological, and/or biological data. Many of these subpopulations have demonstrated the potential to define differential treatment response, largely in retrospective studies, and that the same treatment-responsive subpopulations may cross multiple clinical syndromes (treatable traits). To bring about a change in clinical practice, a precision medicine approach must be evaluated in prospective clinical studies requiring novel adaptive trial designs. Several such studies are underway, but there are multiple challenges to be tackled. Such subpopulations must be readily identifiable and be applicable to all critically ill populations around the world. Subdividing clinical syndromes into subpopulations will require large patient numbers. Global collaboration of investigators, clinicians, industry, and patients over many years will therefore be required to transition to a precision medicine approach and ultimately realize treatment advances seen in other medical fields.
AB - Critical care uses syndromic definitions to describe patient groups for clinical practice and research. There is growing recognition that a "precision medicine" approach is required and that integrated biologic and physiologic data identify reproducible subpopulations that may respond differently to treatment. This article reviews the current state of the field and considers how to successfully transition to a precision medicine approach. To impact clinical care, identification of subpopulations must do more than differentiate prognosis. It must differentiate response to treatment, ideally by defining subgroups with distinct functional or pathobiological mechanisms (endotypes). There are now multiple examples of reproducible subpopulations of sepsis, acute respiratory distress syndrome, and acute kidney or brain injury described using clinical, physiological, and/or biological data. Many of these subpopulations have demonstrated the potential to define differential treatment response, largely in retrospective studies, and that the same treatment-responsive subpopulations may cross multiple clinical syndromes (treatable traits). To bring about a change in clinical practice, a precision medicine approach must be evaluated in prospective clinical studies requiring novel adaptive trial designs. Several such studies are underway, but there are multiple challenges to be tackled. Such subpopulations must be readily identifiable and be applicable to all critically ill populations around the world. Subdividing clinical syndromes into subpopulations will require large patient numbers. Global collaboration of investigators, clinicians, industry, and patients over many years will therefore be required to transition to a precision medicine approach and ultimately realize treatment advances seen in other medical fields.
KW - Humans
KW - Precision Medicine/methods
KW - Critical Care/methods
KW - Intensive Care Units
KW - Consensus
KW - Syndrome
KW - Critical Illness/therapy
KW - Phenotype
KW - Respiratory Distress Syndrome/therapy
UR - https://www.scopus.com/pages/publications/85199057304
U2 - 10.1164/rccm.202311-2086SO
DO - 10.1164/rccm.202311-2086SO
M3 - Review article
C2 - 38687499
SN - 1073-449X
VL - 210
SP - 155
EP - 166
JO - American Journal of Respiratory and Critical Care Medicine
JF - American Journal of Respiratory and Critical Care Medicine
IS - 2
ER -