Additional file 5: of Distinct T-helper cell responses to Staphylococcus aureus bacteremia reflect immunologic comorbidities and correlate with mortality
Figure S4 Method for determining a patientâ s T-cell subset levels. Linear regression was used to predict the change in each T-cell subset percentage per day for each patient. Each regression line was used to estimate a T-cell percentage at day 3 after infection. The day 3 value and change over time...
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creator | Greenberg, Jared Hrusch, Cara Jaffery, Mohammad David, Michael Daum, Robert Hall, Jesse Kress, John Sperling, Anne Verhoef, Philip |
description | Figure S4 Method for determining a patientâ s T-cell subset levels. Linear regression was used to predict the change in each T-cell subset percentage per day for each patient. Each regression line was used to estimate a T-cell percentage at day 3 after infection. The day 3 value and change over time were used as predictor variables in Cox proportional hazards models. (PPTX 2104Â kb) |
doi_str_mv | 10.6084/m9.figshare.6188144 |
format | Video |
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Linear regression was used to predict the change in each T-cell subset percentage per day for each patient. Each regression line was used to estimate a T-cell percentage at day 3 after infection. The day 3 value and change over time were used as predictor variables in Cox proportional hazards models. 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(PPTX 2104Â kb)</description><subject>Biochemistry</subject><subject>Biotechnology</subject><subject>Cancer</subject><subject>Developmental Biology</subject><subject>FOS: Biological sciences</subject><subject>FOS: Clinical medicine</subject><subject>FOS: Health sciences</subject><subject>Immunology</subject><subject>Infectious Diseases</subject><subject>Medicine</subject><subject>Microbiology</subject><subject>Molecular Biology</subject><subject>Physiology</subject><fulltext>true</fulltext><rsrctype>video</rsrctype><creationdate>2018</creationdate><recordtype>video</recordtype><sourceid>PQ8</sourceid><recordid>eNqdj01OwzAQhb1hgYATsJkLNCRqWqXsED9iT_fW1Bk3I43tyJ4I5SjcFlcqF2D1pDfvvdFnzGPXNvt26J_CofF8LhNmavbdMHR9f2t-XsaRlVNEAc9CsHuG5OGNi3J0CsfNRDJTBkcikKnMKRYqoAm-FOdpleSSc0sBXDJVOaFTyhQYa9oL1Q0OYYlJ0pkduBRSPvHlZ13BOFYnZxJUgm_WCepZUVjXe3PjUQo9XPXObD_ej6-fmxEVHSvZOXPAvNqutRdAGw72D9BeAbf_a_0CWSFoNQ</recordid><startdate>20180426</startdate><enddate>20180426</enddate><creator>Greenberg, Jared</creator><creator>Hrusch, Cara</creator><creator>Jaffery, Mohammad</creator><creator>David, Michael</creator><creator>Daum, Robert</creator><creator>Hall, Jesse</creator><creator>Kress, John</creator><creator>Sperling, Anne</creator><creator>Verhoef, Philip</creator><general>figshare</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20180426</creationdate><title>Additional file 5: of Distinct T-helper cell responses to Staphylococcus aureus bacteremia reflect immunologic comorbidities and correlate with mortality</title><author>Greenberg, Jared ; Hrusch, Cara ; Jaffery, Mohammad ; David, Michael ; Daum, Robert ; Hall, Jesse ; Kress, John ; Sperling, Anne ; Verhoef, Philip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_6084_m9_figshare_61881443</frbrgroupid><rsrctype>videos</rsrctype><prefilter>videos</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biochemistry</topic><topic>Biotechnology</topic><topic>Cancer</topic><topic>Developmental Biology</topic><topic>FOS: Biological sciences</topic><topic>FOS: Clinical medicine</topic><topic>FOS: Health sciences</topic><topic>Immunology</topic><topic>Infectious Diseases</topic><topic>Medicine</topic><topic>Microbiology</topic><topic>Molecular Biology</topic><topic>Physiology</topic><toplevel>online_resources</toplevel><creatorcontrib>Greenberg, Jared</creatorcontrib><creatorcontrib>Hrusch, Cara</creatorcontrib><creatorcontrib>Jaffery, Mohammad</creatorcontrib><creatorcontrib>David, Michael</creatorcontrib><creatorcontrib>Daum, Robert</creatorcontrib><creatorcontrib>Hall, Jesse</creatorcontrib><creatorcontrib>Kress, John</creatorcontrib><creatorcontrib>Sperling, Anne</creatorcontrib><creatorcontrib>Verhoef, Philip</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Greenberg, Jared</au><au>Hrusch, Cara</au><au>Jaffery, Mohammad</au><au>David, Michael</au><au>Daum, Robert</au><au>Hall, Jesse</au><au>Kress, John</au><au>Sperling, Anne</au><au>Verhoef, Philip</au><genre>unknown</genre><ristype>VIDEO</ristype><title>Additional file 5: of Distinct T-helper cell responses to Staphylococcus aureus bacteremia reflect immunologic comorbidities and correlate with mortality</title><date>2018-04-26</date><risdate>2018</risdate><abstract>Figure S4 Method for determining a patientâ s T-cell subset levels. Linear regression was used to predict the change in each T-cell subset percentage per day for each patient. Each regression line was used to estimate a T-cell percentage at day 3 after infection. The day 3 value and change over time were used as predictor variables in Cox proportional hazards models. (PPTX 2104Â kb)</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.6188144</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biochemistry Biotechnology Cancer Developmental Biology FOS: Biological sciences FOS: Clinical medicine FOS: Health sciences Immunology Infectious Diseases Medicine Microbiology Molecular Biology Physiology |
title | Additional file 5: of Distinct T-helper cell responses to Staphylococcus aureus bacteremia reflect immunologic comorbidities and correlate with mortality |
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