<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Chen X</submitter><funding>The Joint Funds for the Innovation of Science and Technology, Fujian Province</funding><funding>Fujian Provincial Health Technology Project</funding><funding>Natural Science Foundation of Fujian Province</funding><funding>National Natural Science Foundation of China</funding><pagination>3165-3172</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12283799</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>104(6)</volume><pubmed_abstract>Thrombotic thrombocytopenic purpura (TTP) is a rare but fatal disease requiring urgent diagnosis. The PLASMIC scoring model has been reported to be a valuable model for identifying TTP. This study aimed to investigate the diagnostic accuracy of this model and the diagnostic utility of lactate dehydrogenase (LDH)-to-serum creatinine (sCr) ratio in identifying TTP in Chinese patients. The records of 61 patients with suspected TTP tested for ADAMTS13 activity in our hospital between June 2016 and April 2024 were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic accuracy of LDH, sCr, and the LDH-to-sCr (LDH/sCr) in predicting TTP. Multivariate logistic regression analysis was used to screen for independent risk factors of TTP, a</pubmed_abstract><journal>Annals of hematology</journal><pubmed_title>A predictive algorithm involving lactate dehydrogenase to serum creatinine ratio may assist in identifying patients with thrombotic thrombocytopenic purpura.</pubmed_title><pmcid>PMC12283799</pmcid><funding_grant_id>2024Y9274</funding_grant_id><funding_grant_id>82070117</funding_grant_id><funding_grant_id>2020Y9072</funding_grant_id><funding_grant_id>2024GGA015</funding_grant_id><funding_grant_id>2018J01312</funding_grant_id><funding_grant_id>2021J01753</funding_grant_id><pubmed_authors>Li W</pubmed_authors><pubmed_authors>Cai R</pubmed_authors><pubmed_authors>Wu Z</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Fu J</pubmed_authors><pubmed_authors>Lin X</pubmed_authors><pubmed_authors>Chen X</pubmed_authors><pubmed_authors>Luo X</pubmed_authors><pubmed_authors>Wei L</pubmed_authors></additional><is_claimable>false</is_claimable><name>A predictive algorithm involving lactate dehydrogenase to serum creatinine ratio may assist in identifying patients with thrombotic thrombocytopenic purpura.</name><description>Thrombotic thrombocytopenic purpura (TTP) is a rare but fatal disease requiring urgent diagnosis. The PLASMIC scoring model has been reported to be a valuable model for identifying TTP. This study aimed to investigate the diagnostic accuracy of this model and the diagnostic utility of lactate dehydrogenase (LDH)-to-serum creatinine (sCr) ratio in identifying TTP in Chinese patients. The records of 61 patients with suspected TTP tested for ADAMTS13 activity in our hospital between June 2016 and April 2024 were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic accuracy of LDH, sCr, and the LDH-to-sCr (LDH/sCr) in predicting TTP. Multivariate logistic regression analysis was used to screen for independent risk factors of TTP, a</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jun</publication><modification>2026-03-16T08:16:35.083Z</modification><creation>2025-08-14T03:06:00.142Z</creation></dates><accession>S-EPMC12283799</accession><cross_references><pubmed>40542833</pubmed><doi>10.1007/s00277-025-06472-1</doi></cross_references></HashMap>