Machine learning for patient selection in corticosteroid decision making in knee osteoarthritis: A feasibility model

Table 2 Data showing the characteristics of patients that achieved significant and non-significant change in Western Ontario and McMaster Universities Osteoarthritis pain scores, n (%)

Characteristics	Meaningful clinical significant change (MCID or MWPC)		Pearson correlation coefficient	P value
	No	Yes
Age (year), mean ± SD	63.1 ± 7.8	64.3 ± 9.5	0.062	0.259
Gender			0.005	0.932
Male	174 (70.7)	59 (70.2)
Female	72 (29.3)	25 (29.8)
Race			-0.016	0.772
White/caucasian	199 (80.9)	64 (76.2)
Black/afro-caribbean	40 (16.3)	19 (22.6)
Other	7 (2.8)	1 (1.2)
BMI (kg/m2), mean ± SD	32.2 ± 6.2	32.4 ± 6.4	0.0150	0.786
BMI < 30	114 (46.3)	36 (42.9)
BMI ≥ 30	132 (53.7)	48 (57.1)
Number of comorbidities, mean ± SD	0.7 ± 1.1	0.7 ± 1.3	0.006	0.919
Comorbidities ≤ 3	239 (97.2)	78 (92.9)
Comorbidities > 3	7 (2.8)	6 (7.1)
KLG			0.034	0.537
KLG < 2	53 (21.5)	15 (17.9)
KLG ≥ 2	193 (78.5)	69 (82.1)
PASE, mean ± SD	159.8 ± 84.7	172.8 ± 109.5	0.062	0.262
CESD, mean ± SD	9.5 ± 8.6	10.2 ± 10.2	0.034	0.543
Past steroid use			-0.013	0.820
No	90 (36.6)	28 (33.3)
Yes	25 (10.2)	13 (15.5)
Unknown	131 (53.2)	43 (51.2)
WOMAC pain score, mean ± SD	5.0 ± 4.9	5.8 ± 4.1	0.084	0.128

MCID: Minimally clinically important difference; MWPC: Meaningful within person change; BMI: Body mass index; KLG: Kellgren Lawrence grade; PASE: Physical activity scale for the elderly; CESD: Center for epidemiological studies depression; WOMAC: Western Ontario and McMaster Universities Osteoarthritis.