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eicu crd  (Philips Healthcare)

 
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    Structured Review

    Philips Healthcare eicu crd
    Flowchart of patient inclusion and exclusion criteria. MIMIC, Medical Information Mart for Intensive Care; <t>eICU-CRD,</t> eICU Collaborative Research Database; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; ILD, interstitial lung disease.
    Eicu Crd, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/eicu crd/product/Philips Healthcare
    Average 86 stars, based on 1 article reviews
    eicu crd - by Bioz Stars, 2026-06
    86/100 stars

    Images

    1) Product Images from "Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases"

    Article Title: Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases

    Journal: Science Progress

    doi: 10.1177/00368504261448004

    Flowchart of patient inclusion and exclusion criteria. MIMIC, Medical Information Mart for Intensive Care; eICU-CRD, eICU Collaborative Research Database; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; ILD, interstitial lung disease.
    Figure Legend Snippet: Flowchart of patient inclusion and exclusion criteria. MIMIC, Medical Information Mart for Intensive Care; eICU-CRD, eICU Collaborative Research Database; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; ILD, interstitial lung disease.

    Techniques Used:

    Kaplan–Meier survival curves for 28-day mortality stratified by ROX index tertiles in the MIMIC-IV and eICU-CRD cohorts. (A) MIMIC IV 3.1 database (B) eICU-CRD database.
    Figure Legend Snippet: Kaplan–Meier survival curves for 28-day mortality stratified by ROX index tertiles in the MIMIC-IV and eICU-CRD cohorts. (A) MIMIC IV 3.1 database (B) eICU-CRD database.

    Techniques Used:

    Restricted cubic spline analyses depicting the nonlinear association between ROX index and mortality outcomes in critically ill patients with COPD. Panels A–C represent the MIMIC-IV cohort, showing associations with in-hospital mortality (A), ICU mortality (B), and 28-day mortality (C). Panels D–F correspond to the eICU-CRD cohort, showing the same outcomes respectively. ROX index was modeled as a continuous variable using RCS with full covariate adjustment. Solid lines represent hazard ratios (HRs) and shaded areas indicate 95% confidence intervals.
    Figure Legend Snippet: Restricted cubic spline analyses depicting the nonlinear association between ROX index and mortality outcomes in critically ill patients with COPD. Panels A–C represent the MIMIC-IV cohort, showing associations with in-hospital mortality (A), ICU mortality (B), and 28-day mortality (C). Panels D–F correspond to the eICU-CRD cohort, showing the same outcomes respectively. ROX index was modeled as a continuous variable using RCS with full covariate adjustment. Solid lines represent hazard ratios (HRs) and shaded areas indicate 95% confidence intervals.

    Techniques Used:

    Subgroup analyses of the association between ROX index and in-hospital mortality in critically ill patients with COPD. Forest plots display the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for in-hospital mortality per unit increase in ROX index across clinically relevant subgroups in the MIMIC-IV (A) and eICU-CRD (B) cohorts.
    Figure Legend Snippet: Subgroup analyses of the association between ROX index and in-hospital mortality in critically ill patients with COPD. Forest plots display the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for in-hospital mortality per unit increase in ROX index across clinically relevant subgroups in the MIMIC-IV (A) and eICU-CRD (B) cohorts.

    Techniques Used:



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    Image Search Results


    Flowchart of patient inclusion and exclusion criteria. MIMIC, Medical Information Mart for Intensive Care; eICU-CRD, eICU Collaborative Research Database; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; ILD, interstitial lung disease.

    Journal: Science Progress

    Article Title: Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases

    doi: 10.1177/00368504261448004

    Figure Lengend Snippet: Flowchart of patient inclusion and exclusion criteria. MIMIC, Medical Information Mart for Intensive Care; eICU-CRD, eICU Collaborative Research Database; COPD, chronic obstructive pulmonary disease; ICU, intensive care unit; ILD, interstitial lung disease.

    Article Snippet: The eICU-CRD, developed by Philips Healthcare in partnership with the MIT Lab for Computational Physiology, encompasses data from over 200,000 ICU admissions across multiple hospitals in the United States between 2014 and 2015.

    Techniques:

    Kaplan–Meier survival curves for 28-day mortality stratified by ROX index tertiles in the MIMIC-IV and eICU-CRD cohorts. (A) MIMIC IV 3.1 database (B) eICU-CRD database.

    Journal: Science Progress

    Article Title: Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases

    doi: 10.1177/00368504261448004

    Figure Lengend Snippet: Kaplan–Meier survival curves for 28-day mortality stratified by ROX index tertiles in the MIMIC-IV and eICU-CRD cohorts. (A) MIMIC IV 3.1 database (B) eICU-CRD database.

    Article Snippet: The eICU-CRD, developed by Philips Healthcare in partnership with the MIT Lab for Computational Physiology, encompasses data from over 200,000 ICU admissions across multiple hospitals in the United States between 2014 and 2015.

    Techniques:

    Restricted cubic spline analyses depicting the nonlinear association between ROX index and mortality outcomes in critically ill patients with COPD. Panels A–C represent the MIMIC-IV cohort, showing associations with in-hospital mortality (A), ICU mortality (B), and 28-day mortality (C). Panels D–F correspond to the eICU-CRD cohort, showing the same outcomes respectively. ROX index was modeled as a continuous variable using RCS with full covariate adjustment. Solid lines represent hazard ratios (HRs) and shaded areas indicate 95% confidence intervals.

    Journal: Science Progress

    Article Title: Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases

    doi: 10.1177/00368504261448004

    Figure Lengend Snippet: Restricted cubic spline analyses depicting the nonlinear association between ROX index and mortality outcomes in critically ill patients with COPD. Panels A–C represent the MIMIC-IV cohort, showing associations with in-hospital mortality (A), ICU mortality (B), and 28-day mortality (C). Panels D–F correspond to the eICU-CRD cohort, showing the same outcomes respectively. ROX index was modeled as a continuous variable using RCS with full covariate adjustment. Solid lines represent hazard ratios (HRs) and shaded areas indicate 95% confidence intervals.

    Article Snippet: The eICU-CRD, developed by Philips Healthcare in partnership with the MIT Lab for Computational Physiology, encompasses data from over 200,000 ICU admissions across multiple hospitals in the United States between 2014 and 2015.

    Techniques:

    Subgroup analyses of the association between ROX index and in-hospital mortality in critically ill patients with COPD. Forest plots display the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for in-hospital mortality per unit increase in ROX index across clinically relevant subgroups in the MIMIC-IV (A) and eICU-CRD (B) cohorts.

    Journal: Science Progress

    Article Title: Association between ROX index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease: A retrospective cohort study based on two large databases

    doi: 10.1177/00368504261448004

    Figure Lengend Snippet: Subgroup analyses of the association between ROX index and in-hospital mortality in critically ill patients with COPD. Forest plots display the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for in-hospital mortality per unit increase in ROX index across clinically relevant subgroups in the MIMIC-IV (A) and eICU-CRD (B) cohorts.

    Article Snippet: The eICU-CRD, developed by Philips Healthcare in partnership with the MIT Lab for Computational Physiology, encompasses data from over 200,000 ICU admissions across multiple hospitals in the United States between 2014 and 2015.

    Techniques:

    External validation of the RSF model in the eICU-CRD cohort; (A) the C-indexes of the RSF model on the training, test and external sets; (B) the ROC curve at the median survival time point (6 days)

    Journal: BMC Infectious Diseases

    Article Title: Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning

    doi: 10.1186/s12879-026-13080-5

    Figure Lengend Snippet: External validation of the RSF model in the eICU-CRD cohort; (A) the C-indexes of the RSF model on the training, test and external sets; (B) the ROC curve at the median survival time point (6 days)

    Article Snippet: The use of the eICU-CRD database was approved by the IRBs of the Massachusetts Institute of Technology and Philips Healthcare.

    Techniques: Biomarker Discovery