Evidence map›Paper›PMID 38915033›Full record

Observational studyRespiratory research2024

Association of race, ethnicity and insurance status with outcomes for patients with acute pulmonary embolism treated by PERT: a retrospective observational study.

Abdul Rehman, Avinash Singh, Priyanka Sridhar, Hong Yu Wang, Agostina Velo, Destiny Nguyen, Madeline Ehrlich, Robert Lookstein, David J Steiger

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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

9 authors.

Abdul RehmanDepartment of Medicine, Rutgers-New Jersey Medical School, Newark, NJ, 07103, USA.
Avinash SinghDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Priyanka SridharDepartment of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Hong Yu WangDepartment of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Agostina VeloDepartment of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Destiny NguyenDepartment of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Madeline EhrlichDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
Robert LooksteinDepartment of Radiology, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA.
David J SteigerDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY, 10029, USA. david.steiger@mountsinai.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement of PE has become streamlined with the implementation of PE Response Teams (PERT). Race, ethnicity and insurance status are known to influence the outcomes of patients with acute PE. However, whether the implementation of PERT-based care mitigates these racial and ethnic disparities remains unknown. Our aim was to assess the association of race, ethnicity and insurance with outcomes for patients with acute PE managed by PERT.

methodsWe performed a retrospective chart review of 290 patients with acute PE, who were admitted to one of three urban teaching hospitals in the Mount Sinai Health System (New York, NY) from January 2021 to October 2023. A propensity score-weighted analysis was performed to explore the association of race, ethnicity and insurance status with overall outcomes.

resultsMedian age of included patients was 65.5 years and 149 (51.4%) were female. White, Black and Asian patients constituted 56.2% (163), 39.6% (115) and 3.5% [10] of the cohort respectively. Patients of Hispanic or Latino ethnicity accounted for 8.3% [24] of the sample. The 30-day rates of mortality, major bleeding and 30-day re-admission were 10.3%, 2.1% and 12.8% respectively. Black patients had higher odds of major bleeding (odds ratio [OR]: 1.445; p < 0.0001) when compared to White patients. Patients of Hispanic or Latino ethnicity had lower odds of receiving catheter-directed thrombolysis (OR: 0.966; p = 0.0003) and catheter-directed or surgical embolectomy (OR: 0.906; p < 0.0001) when compared to non-Hispanic/Latino patients. Uninsured patients had higher odds of receiving systemic thrombolysis (OR: 1.034; p = 0.0008) and catheter-directed thrombolysis (OR: 1.059; p < 0.0001), and lower odds of receiving catheter-directed or surgical embolectomy (OR: 0.956; p = 0.015) when compared to insured patients, although the odds of 30-day mortality and 30-day major bleeding were not significantly different.

conclusionWithin a cohort of PE patients managed by PERT, there were significant associations between race, ethnicity and overall outcomes. Hispanic or Latino ethnicity and uninsured status were associated with lower odds of receiving catheter-directed or surgical embolectomy. These results suggest that disparities related to ethnicity and insurance status persist despite PERT-based care of patients with acute PE.

Indexed as

EthnicityInsurance CoveragePulmonary EmbolismAcute DiseaseAgedAged, 80 and overAsianBlack or African AmericanFemaleHealthcare DisparitiesHispanic or LatinoHumansMaleMiddle AgedNew York CityRacial GroupsEthnicityLength of stayMortalityPulmonary embolismRacial groupsVenous thromboembolism

Identifiers

PMID38915033
PMCPMC11197331

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Registered trials

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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.