Evidence map›Paper›PMID 25809063›Full record

ArticleWorld journal of surgery2015

Comorbidity-Polypharmacy Score as Predictor of Outcomes in Older Trauma Patients: A Retrospective Validation Study.

Ronnie N Mubang, Jill C Stoltzfus, Marissa S Cohen, Brian A Hoey, Christy D Stehly, David C Evans, Christian Jones, Thomas J Papadimos, Jennifer Grell, William S Hoff and 3 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Validation of the Oklahoma predictor model for discharge destination in patients with major traumatic injury: a cross-sectional study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  5. Major trauma and comorbidity: a scoping review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Burden of multimorbidity and polypharmacy among cancer survivors: a population-based nested case-control study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  11. Article
  12. High-risk medications in older patients with trauma: a cross-sectional study of risk mitigationCanadian journal of surgery. Journal canadien de chirurgie · 2019
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. 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

13 authors at 2 institutions in 1 country.

Ronnie N MubangDepartment of Surgery, St Luke's University Health Network, 801 Ostrum Street, NW2 Administration, Bethlehem, PA, 18015, USA.
Jill C Stoltzfus
Marissa S Cohen
Brian A Hoey
Christy D Stehly
David C Evans
Christian Jones
Thomas J Papadimos
Jennifer Grell
William S Hoff
Peter Thomas
James Cipolla
Stanislaw P Stawicki
St. Luke's University Health Network · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraditional injury severity assessment is insufficient in estimating the morbidity and mortality risk for older (≥45 years) trauma patients. Commonly used tools involve complex calculations or tables, do not consider all comorbidities, and often rely on data that are not available early in the trauma patient's hospitalization. The comorbidity-polypharmacy score (CPS), a sum of all pre-injury medications and comorbidities, was found in previous studies to independently predict morbidity and mortality in this older patient population. However, these studies are limited by relatively small sample sizes. Consequently, we sought to validate previous research findings in a large, administrative dataset.

methodsA retrospective study of patients ages≥45 years was performed using an administrative trauma database from St. Luke's University Hospital's Level I Trauma Center. The study period was from 1 January 2008 to 31 December 2013. Abstracted data included patient demographics, injury mechanism and severity [injury characteristics and severity score (ISS)], Glasgow coma scale (GCS), hospital and intensive care unit lengths of stay (HLOS and ILOS, respectively), morbidity, post-discharge destination, and in-hospital mortality. Univariate analyses were conducted with mortality, all-cause morbidity, and discharge destination as primary end-points. Variables reaching statistical significance (p≤0.20) were included in a multivariate logistic regression model. Data are presented as adjusted odds ratios (AORs), with p<0.05 denoting statistical significance.

resultsA total of 5863 patient records were analyzed. Average patient age was 68.5±15.3 years (52% male, 89% blunt mechanism, mean GCS 14.3). Mean HLOS and ILOS increased significantly with increasing CPS (p<0.01). Independent predictors of mortality included age (AOR 1.05, p<0.01), CPS (per-unit AOR 1.08, p<0.02), GCS (AOR 1.43 per-unit decrease, p<0.01), and ISS (per-unit 1.08, p<0.01). Independent predictors of all-cause morbidity included age (AOR 1.02, p<0.01), GCS (AOR per-unit decrease 1.08, p<0.01), ISS (per-unit AOR 1.09, p<0.01), and CPS (per-unit AOR 1.04, p<0.01). CPS did not independently predict need for discharge to a facility.

conclusionsThis study confirms that CPS is an independent predictor of all-cause morbidity and mortality in older trauma patients. However, CPS was not independently associated with need for discharge to a facility. Prospective multicenter studies are needed to evaluate the use of CPS as a predictive and interventional tool, with special focus on correlations between specific pre-existing conditions, pharmacologic interactions, and morbidity/mortality patterns.

Indexed as

ComorbidityHospital MortalityPolypharmacyAgedAged, 80 and overFemaleGlasgow Coma ScaleHumansIntensive Care UnitsLength of StayLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient DischargeProspective Studies

Identifiers

PMID25809063
OpenAlexW2077663490

What OpenQuestion holds

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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.