Evidence map›Paper›PMID 36478268›Full record

Observational studyJournal of racial and ethnic health disparities2023

ICU Admission Risk Factors for Latinx COVID-19 Patients at a U.S.-Mexico Border Hospital.

Faith C Quenzer, Christopher J Coyne, Karen Ferran, Ashley Williams, Andrew T Lafree, Sten Kajitani, George Mathen, Vanessa Villegas, Kari M Kajitani, Christian Tomaszewski and 1 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 3 institutions in 1 country.

Faith C QuenzerDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA. fquenzer@gmail.com.ORCID 0000-0001-9228-5469
Christopher J CoyneDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
Karen FerranDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA.
Ashley WilliamsDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA.
Andrew T LafreeDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
Sten KajitaniDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
George MathenDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
Vanessa VillegasDepartment of Emergency Medicine, El Centro Regional Medical Center, El Centro, CA, USA.
Kari M KajitaniDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
Christian TomaszewskiDepartment of Emergency Medicine, University of California San Diego Health, San Diego, CA, USA.
Stephanie BrodineDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA.
UC San Diego Health System · USSan Diego State University · USRegional Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFew studies have examined the impact of coronavirus disease 2019 (COVID-19) on the primarily Latinx community along the U.S.-Mexico border. This study explores the socioeconomic impacts which contribute to strong predictors of severe COVID-19 complications such as intensive care unit (ICU) hospitalization in a primarily Latinx/Hispanic U.S.-Mexico border hospital.

methodsA retrospective, observational study of 156 patients (≥ 18 years) Latinx/Hispanic patients who were admitted for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection at a U.S.-Mexico border hospital from April 10, 2020, to May 30, 2020. Descriptive statistics of sex, age, body mass index (BMI), and comorbidities (coronary artery disease, hypertension, diabetes, cancer/lymphoma, current use of immunosuppressive drug therapy, chronic kidney disease/dialysis, or chronic respiratory disease). Multivariate regression models were produced from the most significant variables and factors for ICU admission.

resultsOf the 156 hospitalized Latinx patients, 63.5% were male, 84.6% had respiratory failure, and 45% were admitted to the ICU. The average age was 67.2 (± 12.2). Those with body mass index (BMI) ≥ 25 had a higher frequency of ICU admission. Males had a 4.4 (95% CI 1.58, 12.308) odds of ICU admission (p = 0.0047). Those who developed acute kidney injury (AKI) and BMI 25-29.9 were strong predictors of ICU admission (p < 0.001 and p = 0.0020, respectively). Those with at least one reported comorbidity had 1.98 increased odds (95% CI 1.313, 2.99) of an ICU admission.

conclusionFindings show that age, AKI, and male sex were the strongest predictors of COVID-19 ICU admissions in the primarily Latinx population at the U.S.-Mexico border. These predictors are also likely driven by socioeconomic inequalities which are most apparent in border hospitals.

Indexed as

Acute Kidney InjuryCOVID-19AgedComorbidityFemaleHospitalizationHospitalsHumansIntensive Care UnitsMaleMexicoRetrospective StudiesRisk FactorsSARS-CoV-2COVID-19Hispanic populationHospitalizationsIntensive care unit (ICU)LatinxSARS-CoV2U.S.-Mexico border

Identifiers

PMID36478268
PMCPMC9735002
OpenAlexW4311288252

What OpenQuestion holds

Textmetadata
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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.