ROC curve for [TIMP2]• [IGFBP7] predicts the CRRT usage in all people and three cohorts (stroke, sepsis, and cardiac surgery) differing in AKI etiology.

(A) ROC showing the ability of [TIMP2]• [IGFBP7] to predict CRRT usage in all people. (B) ROC showing the ability of [TIMP2]• [IGFBP7] to predict CRRT usage in the stroke group. (C) ROC showing the ability of [TIMP2]• [IGFBP7] to pred...

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Bibliographic Details
Main Author:	Chaoyun Jiang (22411268) (author)
Other Authors:	Cheng Yang (273624) (author), Hui Chen (28597) (author), Xiaofang Jiang (3799252) (author), Jiahao Zhang (4859203) (author), Juan Felipe Alvarez (19067877) (author), Haichuan Yu (1598662) (author), Yao Zhu (441601) (author), Lianjiu Su (10033978) (author), Zhiyong Peng (1457443) (author)
Published:	2025
Subjects:	Biochemistry Medicine Cell Biology Physiology Pharmacology Developmental Biology Marine Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified results :</ b methods :</ b independent risk factors conclusion :</ b combined prediction model binary logistic regression background :</ b among three cohorts cardiac surgery group cardiac surgery cohorts varying aki causes aki risk factors cardiac surgery patients 6 %) post identify aki ’ exhibited predictive value aki among sepsis cardiac surgery aki among predictive value delong ’ 337 patients aki occurred aki ). predictive capacity predictive capability test indicated study aimed significant differences shown effectiveness final analysis
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ROC curve for [TIMP2]• [IGFBP7] predicts the CRRT usage in all people and three cohorts (stroke, sepsis, and cardiac surgery) differing in AKI etiology.

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