Yoğun Bakımda Kişiselleştirilmiş Tıp: Fenotiplendirme ile Hedefe Yönelik Tedaviler

Yazarlar

Kadir Kabahasanoğlu
Muammer Hayri Bektaş

Özet

Referanslar

Singer M, Deutschman CS, Seymour CW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016;315(8):801–810. doi:10.1001/jama.2016.0287

Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet. 2020;395(10219):200–211. doi:10.1016/S0140-6736(19)32989-7

Li Y, Yue Y, Lu Z, et al. Artificial intelligence and machine learning in acute respiratory distress syndrome management: recent advances. Front Med (Lausanne). 2025;12:1597556. doi:10.3389/fmed.2025.1597556

Lazar AE, Azamfirei L. Personalized Medicine for the Critically Ill Patient: A Narrative Review. Processes. 2022;10(6):1200. doi:10.3390/pr10061200

Gordon AC, Alipanah-Lechner N, Bos LD, et al. From ICU syndromes to ICU subphenotypes: consensus report and recommendations for developing precision medicine in the ICU. Am J Respir Crit Care Med. 2024;210(2):155–166. doi:10.1164/rccm.202311-2086SO

Seymour CW, Kennedy JN, Wang S, et al. Derivation, validation, and potential treatment implications of novel clinical phenotypes for sepsis. JAMA. 2019;321(20):2003–2017. doi:10.1001/jama.2019.5791

Komorowski M, Celi LA, Badawi O, et al. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. Nat Med. 2018;24(11):1716–1720. doi:10.1038/s41591-018-0213-5

Antcliffe DB, Burnham KL, Al-Beidh F, et al. Transcriptomic signatures in sepsis and a differential response to steroids from the VANISH randomized trial. Am J Respir Crit Care Med. 2019;199(8):980–986. doi:10.1164/rccm.201807-1419OC

Davenport EE, Burnham KL, Radhakrishnan J, et al. Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study. Lancet Respir Med. 2016;4(4):259-271. doi:10.1016/S2213-2600(16)00046-1

Famous KR, Delucchi K, Ware LB, et al. Acute respiratory distress syndrome subphenotypes respond differently to randomized fluid management strategy. Am J Respir Crit Care Med. 2017;195(3):331–338. doi:10.1164/rccm.201603-0645OC

Kyriazopoulou E, Leventogiannis K, Norrby-Teglund A, et al. Toward personalized immunotherapy in sepsis: the PROVIDE randomized clinical trial. Cell Rep Med. 2022;3(11):100817. doi:10.1016/j.xcrm.2022.100817

Wilson, J.G., Calfee, C.S. ARDS Subphenotypes: Understanding a Heterogeneous Syndrome. Crit Care 24, 102 (2020). https://doi.org/10.1186/s13054-020-2778-x

Maddali MV, Churpek M, Pham T, et al. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis. Lancet Respir Med. 2022;10(4):367-377. doi:10.1016/S2213-2600(21)00461-6

Yayınlanan

15 Nisan 2026

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