Evidence map›Paper›PMID 38075550›Full record

ArticleMedical devices (Auckland, N.Z.)2023

Increasing Incremental Burden of Surgical Bleeding Associated with Multiple Comorbidities as Measured by the Elixhauser Comorbidity Index: A Retrospective Database Analysis.

Mosadoluwa Afolabi, Stephen S Johnston, Pranjal Tewari, Walter A Danker

Open access · goldAbstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Mosadoluwa Afolabi *MedTech Epidemiology and Real-World Data Sciences, Johnson and Johnson, New Brunswick, NJ, USA.
Stephen S Johnston *MedTech Epidemiology and Real-World Data Sciences, Johnson and Johnson, New Brunswick, NJ, USA.
Pranjal Tewari *Decision Science, Mu Sigma, Bangalore, India.
Walter A Danker *Franchise Health Economics and Market Access, Ethicon, Johnson and Johnson, Raritan, NJ, USA.ORCID 0000-0002-9741-5821
Johnson & Johnson (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Disruptive bleeding can complicate surgical procedures, increasing resource use, and impacting patients' well-being. This study aims to elucidate the impact of comorbidity on the risk of disruptive surgical-related bleeding and selected transfusion-associated complications, as well as the incremental cost of such bleeding. Patients and Methods: This retrospective analysis of the Premier Healthcare Database included patients who were age ≥18 years and who had a procedure of interest between 1-Jan-2019-31-Dec-2019: cholecystectomy, coronary artery bypass grafting, cystectomy, hepatectomy, hysterectomy, pancreatectomy, peripheral vascular, thoracic, and valve procedures (first=index). The Elixhauser comorbidity index was assessed on index date and patients were grouped by cumulative comorbidity score (0, 1, 2, 3, 4, 5, ≥6). Outcomes, all measured as in-hospital during index, included bleeding (diagnosis and/or intervention for bleeding), transfusion-associated complications (diagnosis of infection, acute renal failure, or vascular events), and incremental total hospital costs associated with bleeding. Multivariable generalized linear models were used to examine the association of comorbidity/bleeding with outcomes. Results: Of the 304,074 patients included, 7% experienced bleeding. The Elixhauser scores were distributed as follows: 0=29%, 1=23%, 2=18%, 3=12%, 4=8%, 5=5%, ≥6=5%. Odds of bleeding significantly increased with Elixhauser score: 1 comorbidity vs 0 (odds ratio [OR] =1.30, 95% confidence interval [95% CI] =1.19-1.43), and this trend continued to surge (≥6 comorbidities [OR=3.22, 95% CI=2.94-3.53]). Similarly, the odds of transfusion-associated complications significantly increased with comorbidities score: 1 comorbidity vs 0 (OR=2.14, 95% CI=1.88-2.34), ≥6 comorbidities vs 0 (OR=12.37, 95% CI=10.80-14.16). The incremental cost of bleeding also increased with comorbidities score; per-patient costs with and without bleeding were $18,132 vs $13,190, p < 0.001 among patients with 0 comorbidities and $28,952 vs $19,623, p < 0.001 among patients with ≥6 comorbidities. Conclusion: Higher comorbidity burden was associated with significant increases in the risk of surgical bleeding, subsequent transfusion-related complications, and incremental cost burden of bleeding.

Indexed as

bleeding complicationseconomic outcomesElixhauser comorbiditiesobservationalrisk factors

Identifiers

PMID38075550
PMCPMC10706582
OpenAlexW4389300366

What OpenQuestion holds

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LicenceCC BY-NC
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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.