Basic Cardiovascular Sciences and Research Methodology
This domain tests physiological principles that explain clinical findings and the biostatistics needed to interpret trial results and diagnostic studies; items reward understanding rather than formula recall.
Physiology
- Cardiac action potential: phase 0 sodium influx, phase 1 transient potassium efflux, phase 2 L-type calcium influx, phase 3 potassium efflux, phase 4 resting potential; the SA node uses the funny current for spontaneous depolarisation.
- Laplace law: wall stress equals pressure times radius divided by twice thickness; this explains why dilated ventricles and thin-walled atria are prone to arrhythmia and rupture.
- Poiseuille law: flow is proportional to the fourth power of the radius, so small changes in vessel calibre cause large resistance changes.
- Fick principle: cardiac output equals oxygen consumption divided by the arteriovenous oxygen difference; Gorlin formula derives valve area from flow and gradient.
- Frank-Starling relationship describes increased stroke volume with increased preload until overload occurs.
Statistics
- Sensitivity is true positives divided by true positives plus false negatives; specificity is true negatives divided by true negatives plus false positives.
- Positive predictive value depends on prevalence and falls as prevalence falls.
- Likelihood ratio: positive LR equals sensitivity divided by one minus specificity.
- NNT is the reciprocal of the absolute risk reduction.
- Type I error is alpha (false positive); power is 1 minus beta, conventionally 80%.
- Intention-to-treat analysis preserves randomisation; per-protocol analysis can overestimate benefit.
Worked example
In a study of 200 patients, 90 of 100 with disease test positive and 20 of 100 without disease test positive. Sensitivity is 90%, specificity is 80%, and PPV is 90/110, or 82%; if prevalence halves, PPV falls even though sensitivity and specificity are unchanged.
Traps
- A statistically significant result may not be clinically meaningful.
- Confidence intervals crossing one for risk ratios or zero for mean differences mean no significant effect.
- A small p-value does not measure effect size; report it with the estimate.