Effect of Montelukast on the Symptom Severity Score of Allergic Rhinitis

Autor: Asif Ali Arain, Arsalan A Rajput, Muhammad Shaheryar Ahmed Rajput, Anwar Suahil, Mohammad Adeel, Shehzad Ghaffar
Rok vydání: 2020
Předmět:
Zdroj: Cureus
ISSN: 2168-8184
DOI: 10.7759/cureus.7403
Popis: Introduction Rhinitis is a common respiratory disorder that can be broadly defined as an inflammation of nasal mucosa. Allergic rhinitis is the most common form of chronic rhinitis characterized by one or more symptoms including sneezing, nasal itching, nasal congestion, postnasal drip, and rhinorrhea. Montelukast is an antagonist to the leukotriene receptor. It is non-sedating, dosed once daily, and has a safety profile similar in adults and children, with approval down to six months of age. The purpose of the study was to see the improvement in the severity of symptoms of the patients with allergic rhinitis treated with montelukast. Methods The symptom severity score for allergic rhinitis was calculated by asking the patient to evaluate the severity of individual symptoms (sneezing, nasal congestion, rhinorrhea, and postnasal drip) against the 4-point scoring scale over the last 24 hours. After explaining the scoring system to the patient, a proforma was filled before starting the treatment. A dose of 10 mg of montelukast once daily was prescribed. On the follow-up visit after four weeks of therapy, compliance was ensured and then the symptom severity score was recorded again on the proforma. The total nasal symptom severity score (TNSSS) was calculated as a sum of all four nasal symptoms. Pre- and post-treatment mean of TNSSS was compared using a t-test. P-value of less than 0.05 was considered significant. Results A total of 140 patients were included in the study. The mean age was 30 years. The minimum age was 15 years and the maximum age was 45 years. There were 93 males and 47 females. The difference between pre- and post-mean values of TNSSS was 5.82. Both pre- and post-mean of TNSSS were compared using the t-test, and P-value was significant, i.e.
Databáze: OpenAIRE