| Autor: |
Alan A. Cohen, Diana L. Leung, Véronique Legault, Dominique Gravel, F. Guillaume Blanchet, Anne-Marie Côté, Tamàs Fülöp, Juhong Lee, Frédérik Dufour, Mingxin Liu, Yuichi Nakazato |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
iScience, Vol 25, Iss 6, Pp 104385- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2022.104385 |
| Popis: |
Summary: Critical transition theory suggests that complex systems should experience increased temporal variability just before abrupt state changes. We tested this hypothesis in 763 patients on long-term hemodialysis, using 11 biomarkers collected every two weeks and all-cause mortality as a proxy for critical transitions. We find that variability—measured by coefficients of variation (CVs)—increases before death for all 11 clinical biomarkers, and is strikingly synchronized across all biomarkers: the first axis of a principal component analysis on all CVs explains 49% of the variance. This axis then generates powerful predictions of mortality (HR95 = 9.7, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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