Profiling intermittent tinnitus: a retrospective review

Figures & data

Figure 1. Distribution of duration for the continuous and intermittent tinnitus group.

Table 1. Demographics, questionnaire scores and tinnitus characteristics of patients in sample.

	Continuous Tinnitus (N = 1050)	Intermittent Tinnitus (N = 139)
Age
Mean (SD)	53.7 (13)	55.9 (14)
Median
Range	16–89	18–85
Sex
Male (%)	652 (62%)	80 (58%)
Female (%)	398 (38%)	59 (42%)
Duration
Mean (SD)	6.9 (9)	4.5 (7)
Range	0–60	0–55
THI Score
Total score (SD)	42.1 (23)	38.6 (24)
Functional Subscale (SD)	23.3 (12)	20.1 (12)
Emotional Subscale (SD)	11.4 (8)	11.7 (9)
Catastrophic Subscale (SD)	7.5 (5)	6.9 (5)
HADS
Depression Subscale (SD)	9.5 (2)	9.1 (3)
Anxiety Subscale (SD)	12 (3)	11.9 (3)
High Fletcher Index
AD (SD)	27.0 (19)	27.9 (20)
AS (SD)	28.8 (20)	29.9 (22)

Table 2. Kolmogorov Smirnov test Decisions on Continuous and Intermittent Tinnitus coming from the same continuous population distribution.

	H	p
Duration	1	<0.001*
THI_Total	1	0.0217*
THI_Functional	1	0.0025*
THI_Emotional	0	0.9859
THI_Catastrophic	0	0.2426
Age	0	0.3658
HADS dep	0	0.7034
HADS anx	0	0.8709
AD HF	0	0.9575
AS HF	0	0.9323

Kolmogorov Smirnov: H = 1 rejects H0 @ 0.05. H = 0 means that data comes from same distribution. H = 1 means data do not come from same distribution. *significant difference found.

Table 3. Prediction of Intermittent vs Continuous Tinnitus based on Binary Logistic Regression.

						95% Confidence Interval
	B	S.E.	Wald	Sig.	Exp(B)	Lower	Upper
Sex	0.043	0.095	0.205	0.650	1.044	0.866	1.258
Age*	0.015	0.004	11.733	0.001	1.015	1.006	1.023
Duration*	−0.045	0.007	39.548	0.000	0.956	0.943	0.970
High Fletcher AD	0.005	0.003	2.535	0.111	1.005	0.999	1.012
High Fletcher AS	0.002	0.003	0.659	0.417	1.002	0.997	1.008
THI Functional*	−0.065	0.007	80.003	0.000	0.937	0.924	0.950
THI Emotional*	0.099	0.011	84.838	0.000	1.104	1.081	1.128
THI Catastrophic*	−0.055	0.012	20.560	0.000	0.947	0.925	0.969
HADS Depression*	−0.062	0.025	6.142	0.013	0.940	0.894	0.987
HADS Anxiety	0.019	0.020	0.896	0.344	1.019	0.980	1.060

*Statistically significant contribution to model prediction.

Figure 2. Prediction accuracy of the random forest model (n = 100 trees).

Figure 3. Feature importance for the random forest analysis.