From ICU Syndromes to ICU Subphenotypes: Consensus Report and Recommendations for Developing Precision Medicine in the ICU.
Anthony C GordonNarges Alipanah-LechnerLieuwe D J BosJose DiantiJanet V DiazSimon R FinferTomoko FujiiEvangelos J Giamarellos-BourboulisEwan C GoligherMichelle Ng GongEleni KarakikeVincent X LiuNuttha LumlertgulJohn C MarshallDavid K MenonNuala J MeyerElizabeth S MunroeSheila Nainan MyatraMarlies OstermannHallie C PrescottAdrienne G RandolphEdward J SchenckChristopher W SeymourManu Shankar-HariMervyn SingerMarry R SmitAiko TanakaFabio S TacconeB Taylor ThompsonLisa K TorresTom van der PollJean-Louis VincentCarolyn S CalfeePublished in: American journal of respiratory and critical care medicine (2024)
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.
Keyphrases
- clinical practice
- brain injury
- acute respiratory distress syndrome
- intensive care unit
- healthcare
- mechanical ventilation
- systematic review
- clinical trial
- randomized controlled trial
- acute kidney injury
- chronic kidney disease
- gene expression
- machine learning
- autism spectrum disorder
- risk assessment
- extracorporeal membrane oxygenation
- big data
- artificial intelligence
- ejection fraction
- prognostic factors
- climate change
- quality improvement
- drug delivery
- respiratory failure
- human health
- blood brain barrier
- double blind
- cross sectional
- affordable care act
- patient reported
- phase ii