Evidence map›Paper›PMID 32970246›Full record

ArticleInternal and emergency medicine2020

Early predictors of in-hospital mortality in patients with COVID-19 in a large American cohort.

Amit Bahl, Morgan Nees Van Baalen, Laura Ortiz, Nai-Wei Chen, Courtney Todd, Merit Milad, Alex Yang, Jonathan Tang, Madalyn Nygren, Lihua Qu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Internal and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 9 pooled it
2.3field-weighted citation impact, top 7% 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

52 citing papers in PubMed, 9 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Amit BahlDepartment of Emergency Medicine, Beaumont Hospital, Royal Oak, 3601 13 Mile Rd, Royal Oak, MI, 48073, USA. Amit.bahl@beaumont.edu.ORCID http://orcid.org/0000-0001-9495-1293
Morgan Nees Van BaalenOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Laura OrtizDepartment of Emergency Medicine, Beaumont Hospital, Royal Oak, 3601 13 Mile Rd, Royal Oak, MI, 48073, USA.
Nai-Wei ChenBeaumont Health Research Institute, Royal Oak, MI, USA.
Courtney ToddOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Merit MiladOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Alex YangOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Jonathan TangOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Madalyn NygrenOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Lihua QuBeaumont Health Research Institute, Royal Oak, MI, USA.
Oakland University · USBeaumont Health · USBeaumont Hospital, Royal Oak · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) has aggressively spread across the United States with numerous fatalities. Risk factors for mortality are poorly described. This was a multicentered cohort study identifying patient characteristics and diagnostic markers present on initial evaluation associated with mortality in hospitalized COVID-19 patients. Epidemiological, demographic, clinical, and laboratory characteristics of survivors and non-survivors were obtained from electronic medical records and a multivariable survival regression analysis was conducted to identify risk factors of in-hospital death. Of 1629 consecutive hospitalized adult patients with confirmed COVID-19 from March 1st thru March 31, 2020, 1461 patients were included in final analysis. 327 patients died during hospitalization and 1134 survived to discharge. Median age was 62 years (IQR 50.0, 74.0) with 56% of hospitalized patients under the age of 65. 47% were female and 63% identified as African American. Most patients (55%) had either no or one comorbidity. In multivariable analysis, older age, admission respiratory status including elevated respiratory rate and oxygen saturation ≤ 88%, and initial laboratory derangements of creatinine > 1.33 mg/dL, alanine aminotransferase > 40 U/L, procalcitonin > 0.5 ng/mL, and lactic acid ≥ 2 mmol/L increased risk of in-hospital death. This study is one of the largest analyses in an epicenter for the COVID-19 pandemic. Older age, low oxygen saturation and elevated respiratory rate on admission, and initial lab derangements including renal and hepatic dysfunction and elevated procalcitonin and lactic acid are risk factors for in-hospital death. These factors can help clinicians prognosticate and should be considered in management strategies.

Indexed as

AdultAgedChi-Square DistributionCohort StudiesCoronavirus InfectionsCOVID-19FemaleHospitalizationHospital MortalityHumansMaleMichiganMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesCOVID-19MortalityPredictorsScoring system

Identifiers

PMID32970246
PMCPMC7512216
OpenAlexW3088317809

What OpenQuestion holds

Textmetadata
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.