The principal component analysis of clinical symptoms in patients with Meniere's disease during acute phase / 临床耳鼻咽喉头颈外科杂志

ABSTRACT

OBJECTIVE@#To explore the severity index of Meniere's disease during acute phase by a statistical method of principal component analysis (PCA).@*METHOD@#Ninety-five patients with Meniere's disease in the acute phase who saw the doctor with 24 hours after onset were included in this study and their clinical data were analyzed retrospectively. The subjective symptoms of hearing loss (X1) and ear stuffy plug (X4) were evaluated by VAS scoring system, and the impact of vertigo (X2) and tinnitus (X3) on the patients were evaluated by DHI and THI score. The principal component analysis (PCA) method was used to analyze the quantified data and construct a synthetic evaluate function of subjective symptoms.@*RESULT@#(1) The quantitative results of subjective symptoms in patients with Meniere's disease were as follow VAS score (X1) of hearing loss was 0-91 points, with an average of 46.23 ± 18.80, DHI score (X2) of vertigo was 8-98 points, with an average of 49.66 ± 15.67, THI score (X3) of tinnitus was 10-100 points, with an average of 47.53 ± 17.44, and ear VAS score (X4) of stuffy plug feeling was 0-82 points, with an average of 21.55 ± 27.54. (2) The eigenvalue of principal components Z1, Z2 and Z3 were 1.876, 0.984 and 0.703 respectively, and the variance contribution were 46.898%, 24.592% and 17.574% respectively. (3) The constructed synthetic evaluate function of the disease was as follow The Meniere's disease severity index ƒ = 0.213ZX1 + 0.398ZX2 + 0.370ZX3 + 0.455ZX4.@*CONCLUSION@#The method of PCA for the subjective evaluation of symptoms in Meniere's disease can be constructed as a model of comprehensive evaluation system, which may provide relatively comprehensive information of clinical original variables included in the four main symptoms, reflecting the severity of the disease.