Evidence map›Paper›PMID 32726241›Full record

ArticleThe western journal of emergency medicine2020

Predictors of Mortality in Adults Admitted with COVID-19: Retrospective Cohort Study from New York City.

Sridhar Chilimuri, Haozhe Sun, Ahmed Alemam, Nikhitha Mantri, Elona Shehi, Jairo Tejada, Alla Yugay, Suresh K Nayudu

Open access · goldAbstract read
In one paragraph

Article in The western journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 17 pooled it
2.6field-weighted citation impact, top 6% 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

69 citing papers in PubMed, 17 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Sridhar ChilimuriBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Haozhe SunBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Ahmed AlemamBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Nikhitha MantriBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Elona ShehiBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Jairo TejadaBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Alla YugayBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Suresh K NayuduBronxCare Health System, Department of Medicine, Affiliated with Icahn School of Medicine at Mount Sinai, Bronx, New York.
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRapid spread of coronavirus disease 2019 (COVID-19) in the United States, especially in New York City (NYC), led to a tremendous increase in hospitalizations and mortality. There is very limited data available that associates outcomes during hospitalization in patients with COVID-19.

methodsIn this retrospective cohort study, we reviewed the health records of patients with COVID-19 who were admitted from March 9-April 9, 2020, to a community hospital in NYC. Subjects with confirmed reverse transcriptase-polymerase chain reaction (RT-PCR) of the nasopharyngeal swab for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were included. We collected data related to demographics, laboratory results, and outcome of hospitalization. Outcome was measured based on whether the patient was discharged home or died during hospitalization.

resultsThere were 888 consecutive admissions with COVID-19 during the study period, of which 513 were excluded with pending outcome or incomplete information. We included a total of 375 patients in the study, of whom 215 (57%) survived and 160 (43%) died during hospitalization. The majority of patients were male (63%) and of Hispanic origin (66%) followed by Blacks (25%), and others (9%). Hypertension (60%) stands out to be the most common comorbidity followed by diabetes mellitus (47%), cardiovascular disease (17%), chronic kidney disease (17%), and human immunodeficiency virus/acquired immunodeficiency syndrome (9%). On multiple regression analysis, increasing odds of mortality during hospitalization was associated with older age (odds ratio [OR] 1.04; 95% confidence interval [CI], 1.01-1.06 per year increase; p < 0.0001), admission D-dimer more than 1000 nanograms per milliliter (ng/mL) (OR 3.16; 95% CI, 1.75-5.73; p<0.0001), admission C-reactive protein (CRP) levels of more than 200 milligrams per liter (mg/L) (OR 2.43; 95% CI, 1.36-4.34; p = 0.0028), and admission lymphopenia (OR 2.63; CI, 1.47-4.69; p 0.0010).

conclusionIn this retrospective cohort study originating in NYC, older age, admission levels of D-dimer of more than 1000 ng/mL, CRP of more than 200 mg/L and lymphopenia were associated with mortality in individuals hospitalized for COVID-19. We recommend using these risk factors on admission to triage patients to critical care units or surge units to maximize the use of surge capacity beds.

Indexed as

BetacoronavirusHospitalizationAdultAgedAged, 80 and overAge FactorsCardiovascular DiseasesCohort StudiesComorbidityCoronavirus InfectionsCOVID-19C-Reactive ProteinDiabetes MellitusFemaleFibrin Fibrinogen Degradation ProductsHIV InfectionsC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID32726241
PMCPMC7390589
OpenAlexW3045904719

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.