Evidence map›Paper›PMID 36626168›Full record

ArticleJAMA network open2023

Outcomes Among Mechanically Ventilated Patients With Severe Pneumonia and Acute Hypoxemic Respiratory Failure From SARS-CoV-2 and Other Etiologies.

Eric P Nolley, Sarina K Sahetya, Chad H Hochberg, Shakir Hossen, David N Hager, Roy G Brower, Elizabeth A Stuart, William Checkley

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage results.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  6. Towards a holistic approach to pulmonary infections. Insights from the Sixth Annual Meeting of Spanish Experts 2024.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Review
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Survival analysis of COVID-19 versus non-COVID-19 patients requiring intensive care for acute respiratory distress syndrome: An observational retrospective study.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2024
    Article
  13. Review
  14. Hypertonic treatment of acute respiratory distress syndrome.Frontiers in bioengineering and biotechnology · 2023
    Article
  15. Article
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

8 authors at 2 institutions in 1 country.

Eric P NolleyDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Sarina K SahetyaDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Chad H HochbergDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Shakir HossenDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
David N HagerDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Roy G BrowerDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Elizabeth A StuartBloomberg School of Public Health, Department of Mental Health, Johns Hopkins University, Baltimore, Maryland.
William CheckleyDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

MULTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007534 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Nadia N Hansel, Larissa A. Shimoda · 1985 to 2026
$28.3M
Driving Pressure as a Target for Lung-Protective VentilationK23HL155507 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SAHETYA, SARINA · 2021 to 2025
$885k
A Mixed Methods Evaluation of the Implementation of Prone Positioning in COVID-19 ARDSF32HL160039 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HOCHBERG, CHAD · 2021 to 2022
$142k
NHLBI NIH HHS F32 HL160039NHLBI NIH HHS K23 HL155507NHLBI NIH HHS T32 HL007534
6 · The paper itself

Abstract

Importance: Early observations suggested that COVID-19 pneumonia had a higher mortality rate than other causes of pneumonia. Objective: To compare outcomes between mechanically ventilated patients with pneumonia due to COVID-19 (March 2020 to June 2021) and other etiologies (July 2016 to December 2019). Design, Setting, and Participants: This retrospective cohort study was conducted at the Johns Hopkins Healthcare System among adult patients (aged ≥18 years) with pneumonia who required mechanical ventilation in the first 2 weeks of hospitalization. Clinical, laboratory, and mechanical ventilation data were extracted from admission to hospital discharge or death. Exposures: Pneumonia due to COVID-19. Main Outcomes and Measures: The primary outcome was 90-day in-hospital mortality. Secondary outcomes were time to liberation from mechanical ventilation, hospital length of stay, static respiratory system compliance, and ventilatory ratio. Unadjusted and multivariable-adjusted logistic regression, proportional hazards regression, and doubly robust regression were used in propensity score-matched sets to compare clinical outcomes. Results: Overall, 719 patients (mean [SD] age, 61.8 [15.3] years; 442 [61.5%] were male; 460 [64.0%] belonged to a minoritized racial group and 253 [35.2%] were White) with severe COVID-19 pneumonia and 1127 patients (mean [SD] age, 60.9 [15.8] years; 586 [52.0%] were male; 459 [40.7%] belonged to a minoritized racial group and 655 [58.1%] were White) with severe non-COVID-19 pneumonia. In unadjusted analyses, patients with COVID-19 pneumonia had higher 90-day mortality (odds ratio, 1.21, 95% CI 1.04-1.41), longer time on mechanical ventilation (subdistribution hazard ratio 0.72, 95% CI 0.63-0.81), and lower compliance (32.0 vs 28.4 mL/kg PBW/cm H2O; P < .001) when compared with those with non-COVID-19 pneumonia. In propensity score-matched analyses, patients with COVID-19 pneumonia were equally likely to die within 90 days as those with non-COVID-19 pneumonia (odds ratio, 1.04; 95% CI, 0.81 to 1.35; P = .85), had similar respiratory system compliance (mean difference, 1.82 mL/cm H2O; 95% CI, -1.53 to 5.17 mL/cm H2O; P = .28) and ventilatory ratio (mean difference, -0.05; 95% CI, -0.22 to 0.11; P = .52), but had lower rates of liberation from mechanical ventilation (subdistribution hazard ratio, 0.81; 95% CI, 0.65 to 1.00) when compared with those with non-COVID-19 pneumonia. Patients with COVID-19 pneumonia had somewhat lower rates of being discharged from the hospital alive at 90 days (subdistribution hazard ratio, 0.83; 95% CI, 0.68 to 1.01) than those with non-COVID-19 pneumonia; however, this was not statistically significant. Conclusions and Relevance: In this study, mechanically ventilated patients with severe COVID-19 pneumonia had similar mortality rates as patients with other causes of severe pneumonia but longer times to liberation from mechanical ventilation. Mechanical ventilation use in COVID-19 pneumonia should follow the same evidence-based guidelines as for any pneumonia.

Indexed as

COVID-19Respiratory InsufficiencyAdolescentAdultFemaleHumansMaleMiddle AgedRespiration, ArtificialRetrospective StudiesSARS-CoV-2

Identifiers

PMID36626168
PMCPMC9856712
OpenAlexW4315435976

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.