Evidence map›Paper›PMID 36506827›Full record

ArticleCritical care explorations2022

Age and Comorbidities Predict COVID-19 Outcome, Regardless of Innate Immune Response Severity: A Single Institutional Cohort Study.

Aditya A Mohan, Lyra B Olson, Ibtehaj A Naqvi, Sarah A Morrison, Bryan D Kraft, Lingye Chen, Loretta G Que, Qing Ma, Christina E Barkauskas, Allan Kirk and 3 more

Abstract read
In one paragraph

Article in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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

13 authors.

Aditya A MohanDepartment of Surgery, Duke University, Durham, NC.
Lyra B OlsonDepartment of Surgery, Duke University, Durham, NC.
Ibtehaj A NaqviDepartment of Surgery, Duke University, Durham, NC.
Sarah A MorrisonDepartment of Surgery, Duke University, Durham, NC.
Bryan D KraftDepartment of Surgery, Duke University, Durham, NC.
Lingye ChenDepartment of Surgery, Duke University, Durham, NC.
Loretta G QueDepartment of Surgery, Duke University, Durham, NC.
Qing MaDepartment of Surgery, Duke University, Durham, NC.
Christina E BarkauskasDepartment of Surgery, Duke University, Durham, NC.
Allan KirkDepartment of Surgery, Duke University, Durham, NC.
Smita K NairDepartment of Surgery, Duke University, Durham, NC.
Bruce A SullengerDepartment of Surgery, Duke University, Durham, NC.
George KasotakisDepartment of Surgery, Duke University, Durham, NC.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

The COVID-19 pandemic has claimed over eight hundred thousand lives in the United States alone, with older individuals and those with comorbidities being at higher risk of severe disease and death. Although severe acute respiratory syndrome coronavirus 2-induced hyperinflammation is one of the mechanisms underlying the high mortality, the association between age and innate immune responses in COVID-19 mortality remains unclear.

designFlow cytometry of fresh blood and multiplexed inflammatory chemokine measurements of sera were performed on samples collected longitudinally from our cohort. Aggregate impact of comorbid conditions was calculated with the Charlson Comorbidity Index, and association between patient factors and outcomes was calculated via Cox proportional hazard analysis and repeated measures analysis of variance.

settingA cohort of severely ill COVID-19 patients requiring ICU admission was followed prospectively. PATIENTS: In total, 67 patients (46 male, age 59 ± 14 yr) were included in the study.

interventionsNone. MEASUREMENTS AND MAIN

resultsMortality in our cohort was 41.8%. We identified older age (hazard ratio [HR] 1.09 [95% CI 1.07-1.11];

conclusionsAge, comorbidities, and hyponatremia independently predict mortality in severe COVID-19. Neutrophilia and higher CCL2 and CXCL9 levels are also associated with higher mortality, while independent of age.

Indexed as

agecomorbiditiesCOVID-19immuneoutcomes

Identifiers

PMID36506827
PMCPMC9726311

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Registered trials

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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.