Evidence map›Paper›PMID 36548002›Full record

ArticleMedical sciences (Basel, Switzerland)2022

Population Risk Factors for Severe Disease and Mortality in COVID-19 in the United States during the Pre-Vaccine Era: A Retrospective Cohort Study of National Inpatient Sample.

Kavin Raj, Karthik Yeruva, Keerthana Jyotheeswara Pillai, Preetham Kumar, Ankit Agrawal, Sanya Chandna, Akhilesh Khuttan, Shalini Tripathi, Ramya Akella, Thulasi Ram Gudi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Medical sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  9. The Founder: Dispositional Greed, Showbiz, and the Commercial Determinants of Health.International journal of environmental research and public health · 2023
    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

18 authors at 9 institutions in 2 countries.

Kavin RajDivision of Cardiology, Department of Medicine, University of California Riverside School of Medicine, Riverside, CA 92521, USA.ORCID 0000-0003-3184-4380
Karthik YeruvaDepartment of Internal Medicine, Merit Health River Region Hospital, Vicksburg, MS 39183, USA.
Keerthana Jyotheeswara PillaiDepartment of Medicine, Kilpauk Medical College, Tamil Nadu 600010, India.
Preetham KumarDivision of Cardiology, Department of Medicine, University of California Riverside School of Medicine, Riverside, CA 92521, USA.
Ankit AgrawalDepartment of Hospital Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Sanya ChandnaDepartment of Hospital Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.ORCID 0000-0003-0260-8039
Akhilesh KhuttanDepartment of Cardiac Hospital Medicine, University of Iowa, Iowa City, IA 52242, USA.
Shalini TripathiDepartment of Hospital Medicine, Carolina East Medical Center, New Bern, NC 28560, USA.
Ramya AkellaDepartment of Hospital Medicine, Pikeville Medical Center, Pikeville, KY 41501, USA.
Thulasi Ram GudiDepartment of Internal Medicine, Merit Health River Region Hospital, Vicksburg, MS 39183, USA.ORCID 0000-0002-0622-1205
Abi WattsDivision of Cardiology, Department of Medicine, University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA.
Christian C Toquica GahonaDivision of Cardiology, Department of Medicine, Kansas University Medical Center, Kansas City, KS 66160, USA.
Umesh BhagatDepartment of Hospital Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Surya Kiran AedmaDivision of Cardiology, Department of Medicine, University of California Riverside School of Medicine, Riverside, CA 92521, USA.
Ayesha Tamkinat JalalDepartment of Internal Medicine, Memorial Healthcare System, Hollywood, FL 33021, USA.
Shyam GantiDepartment of Pulmonary Critical Care, Appalachian Regional Healthcare, Lexington, KY 40505, USA.ORCID 0000-0002-2042-0964
Padmini VaradarajanDivision of Cardiology, Department of Medicine, University of California Riverside School of Medicine, Riverside, CA 92521, USA.
Ramdas G PaiDivision of Cardiology, Department of Medicine, University of California Riverside School of Medicine, Riverside, CA 92521, USA.
University of California, Riverside · USCleveland Clinic · USAppalachian Regional Healthcare · USGovernment Kilpauk Medical College · INMemorial Healthcare System · USPikeville Medical Center · USThe University of Texas Health Science Center at Houston · USUniversity Medical Center · USUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background-Previous studies on coronavirus disease 2019 (COVID-19) were limited to specific geographical locations and small sample sizes. Therefore, we used the National Inpatient Sample (NIS) 2020 database to determine the risk factors for severe outcomes and mortality in COVID-19. Methods-We included adult patients with COVID-19. Univariate and multivariate logistic regression was performed to determine the predictors of severe outcomes and mortality in COVID-19. Results-1,608,980 (95% CI 1,570,803-1,647,156) hospitalizations with COVID-19 were included. Severe complications occurred in 78.3% of COVID-19 acute respiratory distress syndrome (ARDS) and 25% of COVID-19 pneumonia patients. The mortality rate for COVID-19 ARDS was 54% and for COVID-19 pneumonia was 16.6%. On multivariate analysis, age > 65 years, male sex, government insurance or no insurance, residence in low-income areas, non-white races, stroke, chronic kidney disease, heart failure, malnutrition, primary immunodeficiency, long-term steroid/immunomodulatory use, complicated diabetes mellitus, and liver disease were associated with COVID-19 related complications and mortality. Cardiac arrest, septic shock, and intubation had the highest odds of mortality. Conclusions-Socioeconomic disparities and medical comorbidities were significant determinants of mortality in the US in the pre-vaccine era. Therefore, aggressive vaccination of high-risk patients and healthcare policies to address socioeconomic disparities are necessary to reduce death rates in future pandemics.

Indexed as

COVID-19Respiratory Distress SyndromeVaccinesAdultAgedHumansInpatientsMaleRetrospective StudiesRisk FactorsSARS-CoV-2United StatesVaccinescardiovascular diseasesCOVID-19 complicationsCOVID-19 mortalityCOVID-19 risk factorsnational inpatient sample (NIS)socioeconomic disparities

Identifiers

PMID36548002
PMCPMC9788467
OpenAlexW4311533504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.