Table 5. Multinomial logistic regression analysis of variables predictive of diabetic foot ulcer.

	Frequency	Variable	OR	pa
MT1	4 Hz	VPT	1.17[1.10–1.25]	0.00004
		Microalbuminuria	4.32[1.77–10.83]	0.02
	8 Hz	VPT	1.15[1.09–1.22]	0.0001
		Microalbuminuria	4.93[1.94–12.53]	0.01
	16 Hz	VPT	1.10[1.06–1.15]	0.00007
		Microalbuminuria	5.67[2.17–14.78]	0.0001
	32 Hz	VPT	1.10[1.05–1.14]	0.0004
		Microalbuminuria	5.15[2.00–13.30]	0.01
	64 Hz	VPT	1.09[1.05–1.13]	0.0001
		Microalbuminuria	5.10[2.06–12.65]	0.005
		Macrovascular disease	3.84[1.53–9.64]	0.048
	125 Hz	VPT	1.10[1.05–1.15]	0.002
		Microalbuminuria	6.21[2.48–15.54]	0.001
		Macrovascular disease	4.74[1.87–11.98]	0.01
	MT5	4 Hz	VPT	1.24[1.14–1.35]	0.000003
			Microalbuminuria	5.54[2.10–41.59]	0.006
		8 Hz	VPT	1.16[1.09–1.23]	0.000006
			Microalbuminuria	6.68[2.58–17.31]	0.001
		16 Hz	VPT	1.11[1.06–1.15]	0.00002
			Microalbuminuria	6.56[2.53–17.01]	0.001
32 Hz		VPT	1.09[1.05–1.13]	0.00007
		Microalbuminuria	5.60[2.26–13.86]	0.002
		Macrovascular disease	4.44[1.77–11.15]	0.02
64 Hz		VPT	1.09[1.05–1.13]	0.00005
		Microalbuminuria	4.79[1.92–11.97]	0.01
125 Hz		VPT	1.06[1.02–1.09]	0.01
		Microalbuminuria	6.17[2.51–15.18]	0.0009
		Macrovascular disease	5.10[2.03–12.83]	0.006

^ap-values have multiplied with the number of comparisons (twelve).