<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Paules CI</submitter><funding>NHLBI NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><pagination>67</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11734232</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.&lt;h4>Methods&lt;/h4>Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC &lt; 0.9 cells/uL), D0 severe lymphopenia (ALC &lt; 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. Logistic regression was used to assess relationships between clinical variables and D0 lymphopenia or lymphopenia trajectory.&lt;h4>Results&lt;/h4>D0 lymphopenia (1426/2579) and seve</pubmed_abstract><journal>BMC infectious diseases</journal><pubmed_title>Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19.</pubmed_title><pmcid>PMC11734232</pmcid><funding_grant_id>1OT2HL156812-01</funding_grant_id><funding_grant_id>OT2 HL156812</funding_grant_id><pubmed_authors>Aberg JA</pubmed_authors><pubmed_authors>Lundgren J</pubmed_authors><pubmed_authors>Gardner EM</pubmed_authors><pubmed_authors>Vasudeva S</pubmed_authors><pubmed_authors>Goodman AL</pubmed_authors><pubmed_authors>Aggarwal NR</pubmed_authors><pubmed_authors>Paules CI</pubmed_authors><pubmed_authors>Vock DM</pubmed_authors><pubmed_authors>Shaw-Saliba K</pubmed_authors><pubmed_authors>North CM</pubmed_authors><pubmed_authors>Kumarasamy N</pubmed_authors><pubmed_authors>STRIVE Network and TICO Trial Study Group</pubmed_authors><pubmed_authors>Nordwall JA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19.</name><description>&lt;h4>Background&lt;/h4>Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.&lt;h4>Methods&lt;/h4>Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC &lt; 0.9 cells/uL), D0 severe lymphopenia (ALC &lt; 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. Logistic regression was used to assess relationships between clinical variables and D0 lymphopenia or lymphopenia trajectory.&lt;h4>Results&lt;/h4>D0 lymphopenia (1426/2579) and seve</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan</publication><modification>2026-05-02T14:31:31.673Z</modification><creation>2025-04-06T01:15:04.806Z</creation></dates><accession>S-EPMC11734232</accession><cross_references><pubmed>39810077</pubmed><doi>10.1186/s12879-024-10428-7</doi></cross_references></HashMap>