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Prognostic value of routinely available data in patients with stable coronary heart disease. A 10-year follow-up of patients sampled at random times during their disease course.
Winkel, Per; Jakobsen, Janus Christian; Hilden, Jørgen; Jensen, Gorm; Kjøller, Erik; Sajadieh, Ahmad; Kastrup, Jens; Kolmos, Hans Jørn; Larsson, Anders; Ärnlöv, Johan; Gluud, Christian.
Affiliation
  • Winkel P; Copenhagen Trial Unit, Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital Blegdamsvej, Copenhagen, Denmark.
  • Jakobsen JC; Copenhagen Trial Unit, Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital Blegdamsvej, Copenhagen, Denmark.
  • Hilden J; Department of Cardiology, Holbæk Hospital, Holbæk, Denmark.
  • Jensen G; Section of Biostatistics, Department of Public Health Research, University of Copenhagen, Copenhagen, Denmark.
  • Kjøller E; Department of Cardiology, Hvidovre Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
  • Sajadieh A; Department of Cardiology S, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
  • Kastrup J; Department of Cardiology, Bispebjerg Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
  • Kolmos HJ; Department of Cardiology B, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Larsson A; Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
  • Ärnlöv J; Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Gluud C; School of Health and Social Studies, Dalarna University, Falun, Sweden.
Open Heart ; 5(2): e000808, 2018.
Article in En | MEDLINE | ID: mdl-30228904
ABSTRACT

Objective:

To characterise the long-term prognosis of patients with stable coronary artery heart disease by means of 'standard predictors' defined as demographic, clinical and biochemical quantities routinely available in general practices and ascertained at an interview not prompted by renewed cardiac complaints.

Methods:

This is an observational study based on data from 2199 Copenhagen placebo patients from the 'clarithromycin for patients with stable coronary heart disease' trial of patients with stable coronary heart disease. In the trial, we compared the effects of 14 days of clarithromycin treatment versus placebo. The predictors were based on the interview forms and blood samples collected at entry, along with demographic information from hospital files.We studied 'standard predictors' of a composite outcome (myocardial infarction, unstable angina, cerebrovascular disease or all-cause death) and of all-cause death. Using Cox regression, we compared predictions of status at 3, 6 and 9 years without and with the use of 'standard predictors' and used receiver operating characteristic statistic.

Results:

Few 'standard predictors' were associated (p<0.01) with the composite outcome or with all-cause death. When no 'standard predictors' were included, 63.2% of the model-based predictions of the composite outcome and 79.9% of death predictions were correct. Including all 'standard predictors' in the model increased the figures to 68.4% and 83.4%, respectively. C indices were low, except when all-cause death was assessed as a single outcome where C was 0.79.

Conclusion:

'Standard predictors' routinely available in general practices contribute only modestly to risk assessment in consecutively sampled patients with stable coronary heart disease as ascertained at a contact not prompted by renewed cardiac complaints. Novel biomarkers may improve the assessment. Trial registration number NCT00121550.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Language: En Journal: Open Heart Year: 2018 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Language: En Journal: Open Heart Year: 2018 Document type: Article Affiliation country:
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