Evidence map›Paper›PMID 38837680›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Joint modeling of monocyte HLA-DR expression trajectories predicts 28-day mortality in severe SARS-CoV-2 patients.

Gaelle Baudemont, Coralie Tardivon, Guillaume Monneret, Martin Cour, Thomas Rimmelé, Lorna Garnier, Hodane Yonis, Jean-Christophe Richard, Remy Coudereau, Morgane Gossez and 10 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Gaelle BaudemontUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, Paris, France.ORCID 0009-0006-0345-7489
Coralie TardivonDépartement d'Epidémiologie Biostatistique et Recherche Clinique, AP-HP.Nord, Hôpital Bichat, Paris, France.ORCID 0000-0002-2304-9910
Guillaume MonneretImmunology Laboratory, Hospices Civils de Lyon, Edouard Herriot Hôpital, Lyon, France.ORCID 0000-0002-9961-5739
Martin CourMedical intensive Care Department, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France.ORCID 0000-0003-4909-9761
Thomas RimmeléJoint Research Unit HCL-bioMérieux, EA 7426 "Pathophysiology of Injury-Induced Immunosuppression" (Université Claude Bernard Lyon 1 - Hospices Civils de Lyon - bioMérieux), Lyon, France.
Lorna GarnierImmunology Laboratory, Hospices Civils de Lyon, Lyon-Sud University Hospital, Pierre Bénite, France.
Hodane YonisMedical intensive Care Department, Hospices Civils de Lyon, Croix-Rousse University Hospital, Lyon, France.
Jean-Christophe RichardMedical intensive Care Department, Hospices Civils de Lyon, Croix-Rousse University Hospital, Lyon, France.ORCID 0000-0003-1503-3035
Remy CoudereauImmunology Laboratory, Hospices Civils de Lyon, Edouard Herriot Hôpital, Lyon, France.
Morgane GossezImmunology Laboratory, Hospices Civils de Lyon, Edouard Herriot Hôpital, Lyon, France.ORCID 0000-0003-1930-8956
Florent WalletIntensive Care Department, Hospices Civils de Lyon, Lyon-Sud University Hospital, Pierre-Bénite, France.ORCID 0000-0003-3174-6246
Marie-Charlotte DelignetteAnesthesia and Critical Care Medicine Department, Hospices Civils de Lyon, Croix-Rousse University Hospital, Lyon, France.ORCID 0000-0001-6214-0111
Frederic DaillerNeurological Anesthesiology and Intensive Care Department, Hospices Civils de Lyon, Pierre Wertheimer Hospital, Lyon, France.
Marielle BuissonCentre d'Investigation Clinique de Lyon (CIC 1407 Inserm), Hospices Civils de Lyon, Lyon, France.ORCID 0000-0002-6090-7515
Anne-Claire LukaszewiczJoint Research Unit HCL-bioMérieux, EA 7426 "Pathophysiology of Injury-Induced Immunosuppression" (Université Claude Bernard Lyon 1 - Hospices Civils de Lyon - bioMérieux), Lyon, France.ORCID 0000-0001-9372-1533
Laurent ArgaudMedical intensive Care Department, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France.ORCID 0000-0002-4565-2454
Cédric LaouenanUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, Paris, France.ORCID 0000-0002-3681-6314
Julie BertrandUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, Paris, France.ORCID 0000-0002-6568-1041
Fabienne VenetImmunology Laboratory, Hospices Civils de Lyon, Edouard Herriot Hôpital, Lyon, France.ORCID 0000-0003-0462-4235
RICO study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent SarsCov2 pandemic has disrupted healthcare system notably impacting intensive care units (ICU). In severe cases, the immune system is dysregulated, associating signs of hyperinflammation and immunosuppression. In the present work, we investigated, using a joint modeling approach, whether the trajectories of cellular immunological parameters were associated with survival of COVID-19 ICU patients. This study is based on the REA-IMMUNO-COVID cohort including 538 COVID-19 patients admitted to ICU between March 2020 and May 2022. Measurements of monocyte HLA-DR expression (mHLA-DR), counts of neutrophils, of total lymphocytes, and of CD4+ and CD8+ subsets were performed five times during the first month after ICU admission. Univariate joint models combining survival at day 28 (D28), hospital discharge and longitudinal analysis of those biomarkers' kinetics with mixed-effects models were performed prior to the building of a multivariate joint model. We showed that a higher mHLA-DR value was associated with a lower risk of death. Predicted mHLA-DR nadir cutoff value that maximized the Youden index was 5414 Ab/C and led to an AUC = 0.70 confidence interval (95%CI) = [0.65; 0.75] regarding association with D28 mortality while dynamic predictions using mHLA-DR kinetics until D7, D12 and D20 showed AUCs of 0.82 [0.77; 0.87], 0.81 [0.75; 0.87] and 0.84 [0.75; 0.93]. Therefore, the final joint model provided adequate discrimination performances at D28 after collection of biomarker samples until D7, which improved as more samples were collected. After severe COVID-19, decreased mHLA-DR expression is associated with a greater risk of death at D28 independently of usual clinical confounders.

Indexed as

COVID-19HLA-DR AntigensMonocytesAgedBiomarkersFemaleHumansIntensive Care UnitsMaleMiddle AgedSARS-CoV-2Severity of Illness IndexBiomarkersHLA-DR Antigens

Identifiers

PMID38837680
PMCPMC11247117

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.