Evidence map›Paper›PMID 32444366›Full record

ArticleBMJ (Clinical research ed.)2020

Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study.

Christopher M Petrilli, Simon A Jones, Jie Yang, Harish Rajagopalan, Luke O'Donnell, Yelena Chernyak, Katie A Tobin, Robert J Cerfolio, Fritz Francois, Leora I Horwitz

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05163743 (COVID-19 Vaccination in Subjects With Obesity), which is not on this map. Cited by 1,567 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,567citing papers in PubMed, 6 pooled it
217.4field-weighted citation impact, top 1% 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.

NCT05163743 naunknown statusnot on this mapstarted 2021, after this paper: background citation

COVID-19 Vaccination in Subjects With Obesity: Impact of Metabolic Health and the Role of a Ketogenic Diet

TypeinterventionalSponsorUniversity of Roma La SapienzaRan2021 to 2021Enrolled24ConditionsObesityArmsLow Calorie Ketogenic Diet
3 · Its place in the literature

Who cites it

1,567 citing papers in PubMed, 6 syntheses or guidelines pooled it, 2,939 citations in OpenAlex.

  1. Pooled it
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  5. Nirmatrelvir combined with ritonavir for preventing and treating COVID-19.The Cochrane database of systematic reviews · 2023
    Pooled it
  6. Early versus late tracheostomy in critically ill COVID-19 patients.The Cochrane database of systematic reviews · 2023
    Pooled it
  7. Viral and Host Factors Are Associated With Mortality in Hospitalized Patients With COVID-19.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Trial
  8. Trial
  9. Associations of Pre-Pandemic CKD With Acute and Post-Acute COVID-19: The C4R Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
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1,507 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Christopher M PetrilliDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Simon A JonesDivision of Healthcare Delivery Science, Department of Population Health, NYU Grossman School of Medicine, 227 East 30th Street #633, New York, NY 10016, USA.
Jie YangCenter for Healthcare Innovation and Delivery Science, NYU Langone Health, New York, NY, USA.
Harish RajagopalanNYU Langone Health, New York, NY, USA.
Luke O'DonnellDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Yelena ChernyakNYU Langone Health, New York, NY, USA.
Katie A TobinNYU Langone Health, New York, NY, USA.
Robert J CerfolioNYU Langone Health, New York, NY, USA.
Fritz FrancoisNYU Langone Health, New York, NY, USA.
Leora I HorwitzDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA leora.horwitz@nyulangone.org.ORCID http://orcid.org/0000-0003-1800-6040
NYU Langone Health · USNew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness.

designProspective cohort study.

settingSingle academic medical center in New York City and Long Island.

participants5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020.

main outcome measuresOutcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality.

resultsOf 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of >2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI >40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of <88% (3.7, 2.8 to 4.8), troponin level >1 (4.8, 2.1 to 10.9), C reactive protein level >200 (5.1, 2.8 to 9.2), and D-dimer level >2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone.

conclusionsAge and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.

Indexed as

AdultAgedAge FactorsBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Critical CareCritical IllnessFemaleHospitalizationHumansMaleMiddle AgedNew York CityPandemics

Identifiers

PMID32444366
PMCPMC7243801
OpenAlexW3028583791

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.