Literature DB >> 26838579

New scoring system of an interview for the diagnosis of benign paroxysmal positional vertigo.

Takao Imai1, Kayoko Higashi-Shingai2, Yasumitsu Takimoto2, Chisako Masumura2, Kenji Hattori3, Hidenori Inohara4.   

Abstract

Conclusion This study investigated a novel instrument to diagnose benign paroxysmal positional vertigo (BPPV). Objective To develop a new scoring system of an interview for the diagnosis of BPPV. Methods The answers to questions on dizziness and/or vertigo (D/V) (571 patients) were analyzed and the questions for which the answers differed significantly between the patients with and without BPPV were selected. Results This study established an intensive questionnaire with a scoring system. It consists of the following questions: (1) Is rotary vertigo a characteristic of your D/V? (2) Is your D/V triggered when you roll your head over in a supine position? (3) Does your D/V disappear within 5 min? (4) Have you previously experienced hearing loss in one ear, or have you experienced hearing loss, tinnitus, or ear fullness with this D/V? One point each was given to an answer of 'yes' to questions (1) and (2). Two points were given to an answer of 'yes' to question (3). One point was subtracted upon an answer of 'yes' to question (4). When the total score was greater than two points, the patient was diagnosed with BPPV. The sensitivity of the diagnosis of BPPV by this scoring system was 81% and the specificity was 69%.

Entities:  

Keywords:  Benign paroxysmal positional vertigo; interview; nystagmus; sensitivity; specificity

Mesh:

Year:  2016        PMID: 26838579     DOI: 10.3109/00016489.2015.1121547

Source DB:  PubMed          Journal:  Acta Otolaryngol        ISSN: 0001-6489            Impact factor:   1.494


  2 in total

1.  A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study.

Authors:  Fangzhou Yu; Peixia Wu; Haowen Deng; Cheng Zhang; Huawei Li; Jingfang Wu; Shan Sun; Huiqian Yu; Jianming Yang; Xianyang Luo; Jing He; Xiulan Ma; Junxiong Wen; Danhong Qiu; Guohui Nie; Rizhao Liu; Guohua Hu; Tao Chen
Journal:  J Med Internet Res       Date:  2022-08-03       Impact factor: 7.076

2.  Statistical medicine: An emerging medical specialty.

Authors:  A Indrayan
Journal:  J Postgrad Med       Date:  2017 Oct-Dec       Impact factor: 1.476

  2 in total

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