Friday, October 27, 2017

Having Hair In Your Ear Is A Warning Sign! What Does It Mean?

A recent study has shown that the ear canal hair, actually the black strands that can be noticed in many people’s ears is usually a common sign of heart attacks!

In 1973, Dr. Sanders T. Frank and his team of researchers published a study in the New England Journal of Medicine, claiming that a diagonal earlobe crease, also known as “Frank’s sign”, is a positive predictor of coronary artery disease (CAD) – a plumping problem where waxy plaque builds up inside the arteries.

According to an article published in the New England Journal of Medicine, there is a strong link between the ear canal hair and the coronary artery disease. The study was performed on 43 men and 20 women – 90% of the participants who had a diagonal earlobe crease (DELC) and ear canal hair experienced cardiac failure.


Having Hair in Your Ear Is A Warning Sign

According to the experts, the long-term exposure to androgen, the king of male hormones and father of testosterone, is the one that causes clots in the arteries - due to the excessive production of red blood cells.

In 1989, the researchers published their conclusions from a study involving 215 Indian patients and correlations between earlobe crease, ear hair and coronary artery disease.

The author’s wrote, “A significant difference was also observed between men with and without CAD in the presence of ear-canal hair with age matched group,”

They also found that the ear hair prevalence advanced with age.

Edston E also created a study published in the June 2006 version of the American Journal of Forensic Medical Pathology. Edston studies more than 520 post-mortem examinations and measured the BMI, spleen weight, ear hair, and ear cartilage wrinkle, cause of death, baldness, thickness of stomach fat, and about 6 different qualities.

Edston found that ELC (ear cartilage wrinkle) was firmly corresponded with CAD in both men and women (P > 0.0001), but with sudden cardiac death (SCD) only in men (P < 0.04). This indicates that the younger the patient was, the higher the positive predictive value.