Can the Internal Nasal Valves Method Be a Game Changer for Preventing Respiratory Tract Infections?

Author:

Varma Ashok B.1

Affiliation:

1. Lakeshore Drive, Fairfield, California, United States

Abstract

An anaphylactic reaction to the influenza vaccine prompted a search for a non-pharmacological way to prevent respiratory tract infections (RTIs) using the internal nasal valves and the innate immune system. The anatomy and physics of the internal nasal valves, using Bernoulli’s principle, can produce a Venturi effect and suction out the pathogen-laden secretions of the nasal cavities, sinuses, nasolacrimal ducts, and Eustachian tubes. The very effective innate immune system could then neutralize these pathogens. This self-experimentation describes The Internal Nasal Valves (INVals) Method developed by the author for RTIs’ prevention in 1979 and its regular practice since with full compliance and discipline. The coronavirus disease 2019 (COVID-19) pandemic provided him with an opportunity for self-experimentation to perform a trial of The INVals Method on himself despite his age of 73 years and the possibility of highly adverse outcomes. The author observed, enjoyed, and was impressed with the benefits of The INVals Method during the peak of the COVID-19 pandemic. As of this writing, he has not suffered from any RTIs since using The INVals Method in 1979. The author’s experiment is a real-world experiment and suggests that The INVals Method may help prevent RTIs and be an ally and complement to the vaccines. Further investigations to test, retest, and test more of the author’s experiment with rigorous randomized controlled trials (RCTs)/cohort RCTs/cluster randomized trials are warranted to support his results. If future research proves that the author’s results are correct and meaningful, it may have a broader clinical impact across medicine as an ally of vaccines, especially in the developing countries where there can be lag period in acquisition and administration of vaccines.

Publisher

Scientific Scholar

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