<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bodinier M</submitter><funding>Association Nationale de la Recherche et de la Technologie</funding><pagination>240</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11247757</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>28(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The immune response of critically ill patients, such as those with sepsis, severe trauma, or major surgery, is heterogeneous and dynamic, but its characterization and impact on outcomes are poorly understood. Until now, the primary challenge in advancing our understanding of the disease has been to concurrently address both multiparametric and temporal aspects.&lt;h4>Methods&lt;/h4>We used a clustering method to identify distinct groups of patients, based on various immune marker trajectories during the first week after admission to ICU. In 339 severely injured patients, we initially longitudinally clustered common biomarkers (both soluble and cellular parameters), whose variations are well-established during the immunosuppressive phase of sepsis. We then applied this multi-tr</pubmed_abstract><journal>Critical care (London, England)</journal><pubmed_title>Integrated clustering of multiple immune marker trajectories reveals different immunotypes in severely injured patients.</pubmed_title><pmcid>PMC11247757</pmcid><funding_grant_id>2020/0371</funding_grant_id><pubmed_authors>Carre C</pubmed_authors><pubmed_authors>Bequet F</pubmed_authors><pubmed_authors>Gardiner D</pubmed_authors><pubmed_authors>Caruso L</pubmed_authors><pubmed_authors>Raychaudhuri A</pubmed_authors><pubmed_authors>Martin O</pubmed_authors><pubmed_authors>Tissot S</pubmed_authors><pubmed_authors>Oriol G</pubmed_authors><pubmed_authors>Truc C</pubmed_authors><pubmed_authors>Koenig N</pubmed_authors><pubmed_authors>Textoris J</pubmed_authors><pubmed_authors>Crozon-Clauzel J</pubmed_authors><pubmed_authors>Bounab Y</pubmed_authors><pubmed_authors>Huriaux L</pubmed_authors><pubmed_authors>Jourdan C</pubmed_authors><pubmed_authors>Mallet F</pubmed_authors><pubmed_authors>Debord-Peguet S</pubmed_authors><pubmed_authors>Gregoire A</pubmed_authors><pubmed_authors>REALISM study group</pubmed_authors><pubmed_authors>Mommert M</pubmed_authors><pubmed_authors>Gatel J</pubmed_authors><pubmed_authors>Uberti T</pubmed_authors><pubmed_authors>Riffaud C</pubmed_authors><pubmed_authors>Berger SB</pubmed_authors><pubmed_authors>Devigne B</pubmed_authors><pubmed_authors>Vallin H</pubmed_authors><pubmed_authors>Maucort-Boulch D</pubmed_authors><pubmed_authors>Genin C</pubmed_authors><pubmed_authors>Florin K</pubmed_authors><pubmed_authors>Brengel-Pesce K</pubmed_authors><pubmed_authors>Moriceau F</pubmed_authors><pubmed_authors>Gallet-Gorius E</pubmed_authors><pubmed_authors>Meuret P</pubmed_authors><pubmed_authors>Macnamara A</pubmed_authors><pubmed_authors>Moriniere J</pubmed_authors><pubmed_authors>Peleraux A</pubmed_authors><pubmed_authors>Hengy B</pubmed_authors><pubmed_authors>Gillespie I</pubmed_authors><pubmed_authors>Toetsch S</pubmed_authors><pubmed_authors>Augris-Mathieu C</pubmed_authors><pubmed_authors>Collus M</pubmed_authors><pubmed_authors>Arnal S</pubmed_authors><pubmed_authors>Delsuc C</pubmed_authors><pubmed_authors>Louis K</pubmed_authors><pubmed_authors>Tabone O</pubmed_authors><pubmed_authors>Canard B</pubmed_authors><pubmed_authors>Rimmele T</pubmed_authors><pubmed_authors>de Monfort A</pubmed_authors><pubmed_authors>Benatir F</pubmed_authors><pubmed_authors>Tran T</pubmed_authors><pubmed_authors>Ben-Amor A</pubmed_authors><pubmed_authors>Cerro V</pubmed_authors><pubmed_authors>Lepape A</pubmed_authors><pubmed_authors>Schrevel C</pubmed_authors><pubmed_authors>Mouscaz Y</pubmed_authors><pubmed_authors>Moucadel V</pubmed_authors><pubmed_authors>Brajon F</pubmed_authors><pubmed_authors>Smylie R</pubmed_authors><pubmed_authors>Perret M</pubmed_authors><pubmed_authors>Delwarde B</pubmed_authors><pubmed_authors>Jadaud C</pubmed_authors><pubmed_authors>Monneret G</pubmed_authors><pubmed_authors>Monard C</pubmed_authors><pubmed_authors>Gough PJ</pubmed_authors><pubmed_authors>Payrard S</pubmed_authors><pubmed_authors>Pachot A</pubmed_authors><pubmed_authors>Rol ML</pubmed_authors><pubmed_authors>Reynier F</pubmed_authors><pubmed_authors>Meunier B</pubmed_authors><pubmed_authors>Mistretta M</pubmed_authors><pubmed_authors>Ashton T</pubmed_authors><pubmed_authors>Peronnet E</pubmed_authors><pubmed_authors>Tan L</pubmed_authors><pubmed_authors>Bertin-Maghit M</pubmed_authors><pubmed_authors>Fugier I</pubmed_authors><pubmed_authors>Panel N</pubmed_authors><pubmed_authors>Gorse I</pubmed_authors><pubmed_authors>Garcon N</pubmed_authors><pubmed_authors>Leissner P</pubmed_authors><pubmed_authors>Sapay N</pubmed_authors><pubmed_authors>Bodinier M</pubmed_authors><pubmed_authors>Cejka JC</pubmed_authors><pubmed_authors>Rahali N</pubmed_authors><pubmed_authors>Faure A</pubmed_authors><pubmed_authors>Cortez P</pubmed_authors><pubmed_authors>Fraisse L</pubmed_authors><pubmed_authors>Marcotte G</pubmed_authors><pubmed_authors>Blein S</pubmed_authors><pubmed_authors>Bertin-Maghit A</pubmed_authors><pubmed_authors>Bouffard Y</pubmed_authors><pubmed_authors>Davidson J</pubmed_authors><pubmed_authors>Leray V</pubmed_authors><pubmed_authors>Vedrine C</pubmed_authors><pubmed_authors>Kreitmann L</pubmed_authors><pubmed_authors>Becker J</pubmed_authors><pubmed_authors>Lukaszewicz AC</pubmed_authors><pubmed_authors>Matray M</pubmed_authors><pubmed_authors>Cheynet V</pubmed_authors><pubmed_authors>Girardot T</pubmed_authors><pubmed_authors>Fayolle-Pivot L</pubmed_authors><pubmed_authors>Ber CE</pubmed_authors><pubmed_authors>Deleat-Besson R</pubmed_authors><pubmed_authors>Llitjos JF</pubmed_authors><pubmed_authors>Guyard C</pubmed_authors><pubmed_authors>Noailles L</pubmed_authors><pubmed_authors>Lavocat F</pubmed_authors><pubmed_authors>Bayle F</pubmed_authors><pubmed_authors>Cerrato E</pubmed_authors><pubmed_authors>Quemeneur L</pubmed_authors><pubmed_authors>Bellocq AS</pubmed_authors><pubmed_authors>Marcos JY</pubmed_authors><pubmed_authors>Boibieux A</pubmed_authors><pubmed_authors>Zadam A</pubmed_authors><pubmed_authors>Fleurie A</pubmed_authors><pubmed_authors>Griffiths A</pubmed_authors><pubmed_authors>Floccard B</pubmed_authors><pubmed_authors>Guichard A</pubmed_authors><pubmed_authors>Venet F</pubmed_authors><pubmed_authors>Tipple C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrated clustering of multiple immune marker trajectories reveals different immunotypes in severely injured patients.</name><description>&lt;h4>Background&lt;/h4>The immune response of critically ill patients, such as those with sepsis, severe trauma, or major surgery, is heterogeneous and dynamic, but its characterization and impact on outcomes are poorly understood. Until now, the primary challenge in advancing our understanding of the disease has been to concurrently address both multiparametric and temporal aspects.&lt;h4>Methods&lt;/h4>We used a clustering method to identify distinct groups of patients, based on various immune marker trajectories during the first week after admission to ICU. In 339 severely injured patients, we initially longitudinally clustered common biomarkers (both soluble and cellular parameters), whose variations are well-established during the immunosuppressive phase of sepsis. We then applied this multi-tr</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2026-06-02T23:28:09.194Z</modification><creation>2025-04-06T11:34:08.629Z</creation></dates><accession>S-EPMC11247757</accession><cross_references><pubmed>39010113</pubmed><doi>10.1186/s13054-024-04990-4</doi></cross_references></HashMap>