Evidence map›Paper›PMID 19104726›Full record

ArticleCardiovascular journal of Africa

Validation of a model to predict all-cause in-hospital mortality in vascular surgical patients.

B M Biccard, R R Pooran

Full text readValidation Study
In one paragraph

Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

B M BiccardDepartment of Anaesthetics, Nelson R Mandela School of Medicine and Inkosi Albert Luthuli Central Hospital, Durban, South Africa. biccardb@ukzan.ac.za
R R Pooran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a pre- and postoperative model of all-cause in-hospital mortality in South African vascular surgical patients.

methodsWe carried out a retrospective cohort study. A multivariate analysis using binary logistic regression was conducted on a derivation cohort using clinical, physiological and surgical data. Interaction and colinearity between covariates were investigated. The models were validated using the Homer-Lemeshow goodness-of-fit test.

resultsIndependent predictors of in-hospital mortality in the pre-operative model were: (1) age (per one-year increase) [odds ratio (OR) 1.03, 95% confidence interval (CI) 1.0-1.06), (2) creatinine > 180 micromol.l(-1) (OR 6.43, 95% CI: 3.482-11.86), (3) chronic beta-blocker therapy (OR 2.48, 95% CI: 1.38-4.48), and (4) absence of chronic statin therapy (OR 2.81, 95% CI: 1.15-6.83). Independent predictors of mortality in the postoperative model were: (1) age (per one-year increase) (OR 1.05, 95% CI: 1.02-1.09), (2) creatinine > 180 micromol.l(-1) (OR 5.08, 95% CI: 2.50-10.31), (3) surgery out of hours without statin therapy (OR 8.27, 95% CI: 3.36-20.38), (4) mean daily postoperative heart rate (HR) (OR 1.02, 95% CI: 1.0-1.04), (5) mean daily postoperative HR in the presence of a mean daily systolic blood pressure of less than 100 beats per minute or above 179 mmHg (OR 1.02, 95% CI: 1.01-1.03) and (6) mean daily postoperative HR associated with withdrawal of chronic beta-blockade (OR 1.02, 95% CI: 1.01-1.03). Both models were validated.

conclusionThe pre-operative model may predict the risk of in-hospital mortality associated with vascular surgery. The postoperative model may identify patients whose risk increases as a result of surgical or physiological factors.

Indexed as

Models, CardiovascularModels, StatisticalAdrenergic beta-AntagonistsAgedAge FactorsBlood PressureCardiovascular DiseasesCohort StudiesCreatinineFemaleHeart RateHospital MortalityHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLogistic ModelsMaleAdrenergic beta-AntagonistsCreatinineHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID19104726
PMCPMC3971617

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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.