Study done on a group of patients showed coefficient of variance for BP and serum creatinine to be 20% & 15% respectively. Inference is that:
**Core Concept**
Coefficient of variance (CV) is a statistical measure that describes the ratio of the standard deviation to the mean of a dataset, expressed as a percentage. In the context of medical research, CV is used to quantify the variability or dispersion of a particular parameter, such as blood pressure (BP) or serum creatinine levels.
**Why the Correct Answer is Right**
A CV of 20% for BP indicates that there is a relatively high degree of variability in blood pressure readings among the patients, suggesting that BP is not a very stable parameter. Similarly, a CV of 15% for serum creatinine levels indicates that there is some variability in creatinine levels, but less than that of BP. This information can be used to infer that serum creatinine levels are more stable or consistent than blood pressure readings.
**Why Each Wrong Option is Incorrect**
**Option A:** This option is incorrect because it doesn't provide any specific information about the implications of the CV values for BP and serum creatinine levels.
**Option B:** This option is incorrect because it doesn't address the specific question about the inference that can be drawn from the CV values.
**Option C:** This option is incorrect because it doesn't provide a clear or logical inference based on the CV values.
**Clinical Pearl / High-Yield Fact**
When interpreting CV values, it's essential to remember that higher CV values indicate greater variability or dispersion of the data. In the context of medical research, CV values can be used to assess the reliability and consistency of a particular parameter or measurement.
**Correct Answer:** C. Serum creatinine levels are more stable than blood pressure readings.