Article: Subphenotypes of Acute Respiratory Distress Syndrome: Advancing Towards Precision Medicine.
Tuberculosis and respiratory diseases
2023 Volume 87, Issue 1, Page(s) 1–11
Abstract: Acute respiratory distress syndrome (ARDS) is a common cause of severe hypoxemia defined by the acute onset of bilateral non-cardiogenic pulmonary edema. The diagnosis is made by defined consensus criteria. Supportive care, including prevention of ... ...
| Abstract | Acute respiratory distress syndrome (ARDS) is a common cause of severe hypoxemia defined by the acute onset of bilateral non-cardiogenic pulmonary edema. The diagnosis is made by defined consensus criteria. Supportive care, including prevention of further injury to the lungs, is the only treatment that conclusively improves outcomes. The inability to find more advanced therapies is due, in part, to the highly sensitive but relatively non-specific current syndromic consensus criteria, combining a heterogenous population of patients under the umbrella of ARDS. With few effective therapies, the morality rate remains 30% to 40%. Many subphenotypes of ARDS have been proposed to cluster patients with shared combinations of observable or measurable traits. Subphenotyping patients is a strategy to overcome heterogeneity to advance clinical research and eventually identify treatable traits. Subphenotypes of ARDS have been proposed based on radiographic patterns, protein biomarkers, transcriptomics, and/or machine-based clustering of clinical and biological variables. Some of these strategies have been reproducible across patient cohorts, but at present all have practical limitations to their implementation. Furthermore, there is no agreement on which strategy is the most appropriate. This review will discuss the current strategies for subphenotyping patients with ARDS, including the strengths and limitations, and the future directions of ARDS subphenotyping. |
|---|---|
| Language | English |
| Publishing date | 2023-09-07 |
| Publishing country | Korea (South) |
| Document type | Journal Article |
| ZDB-ID | 2161256-0 |
| ISSN | 1738-3536 ; 0378-0066 |
| ISSN | 1738-3536 ; 0378-0066 |
| DOI | 10.4046/trd.2023.0104 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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