Key result
An increasing number of abnormal non-ST parameters during exercise testing was significantly associated with a higher risk of all-cause and cardiovascular mortality (P<0.05 for trend).
Why the study?
Does an increasing number of abnormal non-ST parameters during exercise testing predict cardiovascular and all-cause mortality in individuals undergoing exercise testing?
Observational (n=25,642)
Does an increasing number of abnormal non-ST parameters during exercise testing predict cardiovascular and all-cause mortality in individuals undergoing exercise testing?
p-value: p=<0.05
The presence of multiple abnormal non-ST parameters during exercise testing has an additive effect on the risk of all-cause and cardiovascular mortality.
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Supports additive treadmill parameter use for risk stratification; extends single-metric data but leaves open interventional trials.
Ho et al. (2010) reported an observational. Increasing number of abnormal non-ST parameters vs. Fewer abnormal non-ST parameters was evaluated on All-cause and cardiovascular mortality (p=<0.05). An increasing number of abnormal non-ST parameters during exercise testing was significantly associated with a higher risk of all-cause and cardiovascular mortality (P<0.05 for trend).
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