JMA Journal

Table 1. Baseline Characteristics of MTX-Naive and MTX-User Patients.

From: Impact of the 2018 Japan Floods on Methotrexate and Antirheumatic Drug Prescriptions: A Longitudinal Analysis of the Japanese National Database

		MTX-naive			MTX-user
		Victims	Non-victims	ASD	Victims	Non-victims	ASD
All participants, n		31,006	4,942,395		110	14,798
Age classification, n (%)	20-44	6,668 (21.5%)	1,710,176 (34.6%)	0.295	^a (^a)	1,067 (7.2%)	NC
	45-64	8,103 (26.1%)	1,451,712 (29.4%)	0.074	^b (^b)	4,949 (33.4%)	NC
	65+	16,235 (52.4%)	1,780,507 (36.0%)	0.335	74 (67.3%)	8,782 (59.3%)	NC
Sex, n (%)	Male	13,528 (43.6%)	2,298,159 (46.5%)	0.058	31 (28.2%)	3,948 (26.7%)	0.034
	Female	17,478 (56.4%)	2,644,236 (53.5%)	0.058	79 (71.8%)	10,850 (73.3%)	0.034

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Table 2. Incidence of New Prescription of MTX and Other Antirheumatic Drugs after the Disaster.

From: Impact of the 2018 Japan Floods on Methotrexate and Antirheumatic Drug Prescriptions: A Longitudinal Analysis of the Japanese National Database

	Victims	Non-victims	p-Value
MTX, n (%)	54 (0.17%)	3,811 (0.08%)	p < 0.001
bDMARDs, n (%)	^a (^a)	414 (2.8%)	p = 0.093
csDMARDs. n (%)	^a (^a)	1,074 (7.3%)	p = 0.467
Glucocorticoid, n (%)	13 (11.8%)	1,547 (10,5%)	p = 0.641
Any of the antirheumatic drugs	23 (20.9%)	2,627 (17.8%)	p = 0.388

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