Chul Young Yoon1,2, Tae Hoon Kong1,2, Juhyung Lee1,2, Young Joon Seo3,4, Jae Joon Ahn5. 1. Research Institute of Hearing Enhancement, Yonsei University Wonju College of Medicine, Wonju, South Korea. 2. Department of Otorhinolaryngology, Yonsei University Wonju College of Medicine, 20 Ilsan-Ro, Wonju, Gangwon-Do, 26426, South Korea. 3. Research Institute of Hearing Enhancement, Yonsei University Wonju College of Medicine, Wonju, South Korea. okas2000@hanmail.net. 4. Department of Otorhinolaryngology, Yonsei University Wonju College of Medicine, 20 Ilsan-Ro, Wonju, Gangwon-Do, 26426, South Korea. okas2000@hanmail.net. 5. Division of Data Science, Yonsei University, Wonju, South Korea.
Abstract
OBJECTIVES: Idiopathic sudden sensorineural hearing loss (ISSNHL) is a medical emergency, and delayed treatment can have permanent sequelae. However, the etiology of ISSNHL is diverse and unclear; thus, it is idiopathic. To develop an insight into this condition, patients with ISSNHL must be clearly identified. We propose an operational definition for the unambiguous identification of ISSNHL patients. Patients are identified through suggested definitions, and prevalence and general information are investigated. METHODS: A retrospective study of patients with ISSNHL was performed using the Health Insurance and Review Assessment-National Patient Sample from 2009 to 2016. To present a new operational definition, a systematic review was conducted for studies on ISSNHL from January 2007 to June 2021. After constructing several operant definitions using the conditions that can specify patients with ISSNHL in big data, we compared each definition to propose an operational definition. RESULTS: The important conditions required to classify patients with ISSNHL using big data were the International Classification of Diseases (ICD)-10 code, number of pure tone audiometry (PTA) tests, and whether steroids were prescribed. Among them, those who had undergone PTA tests more than twice could be clearly identified as patients with ISSNHL. CONCLUSION: As the use of big data becomes smoother, research using national medical data is being conducted; however, the results of the studies may vary depending on how a patient with ISSNHL is classified. Clear identification of patients with ISSNHL will be beneficial for better management of this condition.
OBJECTIVES: Idiopathic sudden sensorineural hearing loss (ISSNHL) is a medical emergency, and delayed treatment can have permanent sequelae. However, the etiology of ISSNHL is diverse and unclear; thus, it is idiopathic. To develop an insight into this condition, patients with ISSNHL must be clearly identified. We propose an operational definition for the unambiguous identification of ISSNHL patients. Patients are identified through suggested definitions, and prevalence and general information are investigated. METHODS: A retrospective study of patients with ISSNHL was performed using the Health Insurance and Review Assessment-National Patient Sample from 2009 to 2016. To present a new operational definition, a systematic review was conducted for studies on ISSNHL from January 2007 to June 2021. After constructing several operant definitions using the conditions that can specify patients with ISSNHL in big data, we compared each definition to propose an operational definition. RESULTS: The important conditions required to classify patients with ISSNHL using big data were the International Classification of Diseases (ICD)-10 code, number of pure tone audiometry (PTA) tests, and whether steroids were prescribed. Among them, those who had undergone PTA tests more than twice could be clearly identified as patients with ISSNHL. CONCLUSION: As the use of big data becomes smoother, research using national medical data is being conducted; however, the results of the studies may vary depending on how a patient with ISSNHL is classified. Clear identification of patients with ISSNHL will be beneficial for better management of this condition.
Authors: Soyoung Kim; Yae-Jean Kim; Kyong Ran Peck; Youngsuk Ko; Jonggul Lee; Eunok Jung Journal: Int J Environ Res Public Health Date: 2020-12-20 Impact factor: 3.390
Authors: Hui-Ju Tsai; Chia-Ying Li; Wen-Chi Pan; Tsung-Chieh Yao; Huey-Jen Su; Chih-Da Wu; Yinq-Rong Chern; John D Spengler Journal: Int J Environ Res Public Health Date: 2020-12-31 Impact factor: 3.390