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Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction.

Open access
Weld, F M, Chu, K L, Bigger, J T, Rolnitzky, L M·1981·Circulation

Abstract

We enrolled 250 patients with acute myocardial infarction after they had been discharged from the cardiac intensive care unit. Among 236 patients who performed a low-level exercise test just before hospital discharge, 52 (22%) had exercise-induced ST depression of at least 0.1 mV in ECG lead V5, 102 (43%) had ventricular arrhythmias, and 121 (51%) had an exercise capacity of shorter than 6 minutes. We used multiple logistic regression analysis to investigate the association of exercise variables with 1-year cardiac mortality. Exercise duration and ventricular premature depolarizations (VPDs) were significantly associated with 1-year mortality after acute myocardial infarction, both with and without control of the influence of other exercise variables statistically; the association of exercise-induced ST depression with 1-year cardiac mortality was not statistically significant. Standardized regression coefficients showed that the variables ranked in the following order in terms of predictive value: exercise duration, VPD frequency and ST depression. Jackknife techniques showed that multiple logistic regression using the three exercise variables was highly accurate in predicting 1-year mortality.

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Metadata

Authors
Weld, F. M., Chu, K. L., Bigger, J. T., & Rolnitzky, L. M.
Venue
Circulation
Published
1981-08
Volume
64
Issue
2
Pages
306-314
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2072670056
Cited by
203
References
0
FWCI
14.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction. https://app.cochat.ai/papers/10.1161/01.cir.64.2.306
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Weld, F. M., Chu, K. L., Bigger, J. T., & Rolnitzky, L. M. (1981). Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction. Circulation. https://doi.org/10.1161/01.cir.64.2.306

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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