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Multivariate Prognostic Model for Predicting the Outcome of Critically Ill Patients Using the Aromatic Metabolites Detected by Gas Chromatography-Mass Spectrometry.
Pautova, Alisa K; Samokhin, Andrey S; Beloborodova, Natalia V; Revelsky, Alexander I.
Affiliation
  • Pautova AK; Negovsky Research Institute of General Reanimatology, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 25-2 Petrovka Str., 107031 Moscow, Russia.
  • Samokhin AS; Chemistry Department, Lomonosov Moscow State University, GSP-1, Leninskie Gory 1-3, 119991 Moscow, Russia.
  • Beloborodova NV; Negovsky Research Institute of General Reanimatology, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 25-2 Petrovka Str., 107031 Moscow, Russia.
  • Revelsky AI; Chemistry Department, Lomonosov Moscow State University, GSP-1, Leninskie Gory 1-3, 119991 Moscow, Russia.
Molecules ; 27(15)2022 Jul 26.
Article in En | MEDLINE | ID: mdl-35897959
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Illness / Sepsis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2022 Document type: Article Affiliation country: RUSSIA Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Illness / Sepsis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2022 Document type: Article Affiliation country: RUSSIA Country of publication: Switzerland