İklim şartları ile idiyopatik ani sensörinöral iﬂitme kaybı arasındaki iliﬂkinin retrospektif de¤erlendirmesi

Retrospective evaluation of the relationship between seasonal factors and idiopathic sudden sensorineural hearing loss

Özet

Amaç: Kendi yaﬂad›¤›m›z bölgenin iklim ﬂartlar› ve meteorolojik parametrelerin idiyopatik ani sensörinöral iﬂitme kayb›n›n (ISSNHL) patogenezi ve prognozu üzerinde bir etkisinin olup olmad›¤›n› araﬂt›rmay› amaçlad›k. Yöntem: Bölümümüzde tedavileri yap›lm›ﬂ olan 68 ISSNHL tan›s› olan hasta retrospektif olarak incelendi. Ayl›k ortam s›cakl›¤›, maksimum ve minimum s›cakl›k, ba¤›l nem, atmosfer bas›nc› ve ya¤›ﬂ miktar›n› içeren meteorolojik veriler, Sivas Meteoroloji Müdürlü¤ü gözlem istasyonundan elde edildi. ‹klimsel veriler ile ISSNHL aras›ndaki iliﬂkileri araﬂt›rmak için hastal›¤›n baﬂlamas›ndan 10 gün önceki ve tedaviye baﬂlanmas›ndan itibaren 21 günlük bir periyottaki meteorolojik veri de¤erleri kullan›ld›. Tedavi baﬂar›s›n›n de¤erlendirilmesinde ise Siegel kriterleri kullan›ld›. Bulgular: Olgular›n mevsimlere göre da¤›l›mlar› istatistiksel aç›dan de¤erlendirildi¤inde ISSNHL ile mevsimler aras›ndaki iliﬂkinin istatistiksel aç›dan anlaml› oldu¤u izlendi (p

Abstract

Objective: We aimed to investigate whether climatic conditions of the region where we live and meteorological parameters had any effect on pathogenesis and prognosis of idiopathic sudden sensorineural hearing loss (ISSNHL) or not. Methods: Sixty-eight ISSHL patients, who were treated in our department, were evaluated retrospectively. Meteorological data, including monthly ambient, maximum and minimum temperatures, relative humidity, atmospheric pressure and rainfall, were obtained from the observation station of the Central Weather Bureau of Sivas. The meteorological data for 10 days before the onset of the disorder and in a period of 21 days after the beginning of the treatment were used to investigate the relationship between climatic data and ISSNHL. Siegel’s criteria were used to evaluate the treatment success. Results: The relationship between ISSNHL and seasons was observed to be statistically significant when the seasonal distributions of the cases were evaluated statistically (p