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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Pharmacoepidemiol Drug Saf. 2018 Jan 2;27(10):1053–1059. doi: 10.1002/pds.4377

Table 4.

Agreement between ICD-9 and ICD-10 diagnosis codes for type 1 and type 2 diabetes

N=36,861 N=36,861
> 50%
type 1
ICD-9
codes
N=1,269
>= 50%
type 2 ICD-
9 codes
N=30,373
No type 1
or type 2
ICD-9
codes
N=5,219
Type 1
diabetes per
Klompas
algorithm
N=1514
Not type 1
diabetes per
Klompas
algorithm
N=35,347
At least one type 1 ICD-10 code 1,190 (93.8%) 321 (1.1%) 60 (1.1%) 1,292 (85.3%) 279 (0.8%)
At least one type 2 ICD-10 code 247 (19.5%) 26,011 (85.6%) 2,620 (50.2%) 368 (24.3%) 28,510 (80.7%)
At least one “other” diabetes ICD-10 code 26 (2.0%) 241 (0.8%) 21 (0.4%) 35 (2.3%) 253 (0.7%)
>50% type 1 ICD-10 codes 1,172 (92.4%) 93 (0.3%) 50 (1.0%) 1,255 (85.9%) 60 (0.2%)
>=50% type 2 ICD-10 codes 32 (2.5%) 25,971 (85.5%) 2,614 (50.0%) 130 (8.6%) 28,487 (80.6%)
No type 1 or type 2 ICD-10 codes 65 (5.1%) 4,309 (14.2%) 2,555 (49.0%) 129 (8.5%) 6,800 (19.2%)

Type 1 ICD-9 codes = 250.x1, 250.x3. Type 2 ICD-9 codes = 250.x0, 250.x2.

Type 1 ICD-10 codes = E10.xx. Type 2 ICD-10 codes = E11.xx.

“Other” diabetes ICD-10 codes = E08.xx, E09.xx, E13.xx.

Percentage of type 1 codes was calculated as: # type 1 codes / (# type 1 codes + # type 2 codes).

Percentage of type 2 codes was calculated as: # type 2 codes / (# type 1 codes + # type 2 codes).