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Drug-induced autoimmune haemolytic anaemia

DOID EFO Endpoint Browser

D3_AIHA_DRUG

Endpoint definition

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Report an error or suggest an improvement for this endpoint codes

Endpoint definition steps

FinnGen

Phenotype data

519972

1. Apply sex-specific rule

None

519972

2. Check conditions

None

519972

3. Check pre-conditions, main-only, mode, registry filters

Registry filters:

  • Hospital discharge: ICD-10 — D59.0#
  • Hospital discharge: ICD-9 — 2830B
  • Hospital discharge: ICD-8 — 28391
  • Cause of death: ICD-10 — D59.0#
  • Cause of death: ICD-9 — 2830B
  • Cause of death: ICD-8 — 28391

2 out of 7 registries used, show all original rules.

49

4. Check minimum number of events

None

49

5. Include endpoints

None

49

6. Filter based on genotype QC (FinnGen only)

48

Control definitions (FinnGen only)

Control exclude
D3_HAEMOLYTICANAEMIA

Extra metadata

Level in the ICD hierarchy
4
First used in FinnGen datafreeze
DF2
Parent code in ICD-10
D59
Name in latin
Anaemia autoimmunis haemolytica medicamentis provocata

Case counts by codes

↥

FinnGen case counts by registry codes:

generic upset plot

Upset plot

Full data table

Summary Statistics

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-FinRegistry-

Key figures

All Female Male
Number of individuals
Whole population 547 318 222
Only index persons 353 208 145
Unadjusted period prevalence (%)
Whole population 0.01 0.01 0.01
Only index persons 0.01 0.01 0.01
Median age at first event (years)
Whole population 61.21 62.60 59.20
Only index persons 53.14 57.03 47.57

-FinnGen-

Key figures

All Female Male
Number of individuals 48 27 21
Unadjusted period prevalence (%) 0.01 0.01 0.01
Median age at first event (years) 51.40 48.72 54.84

-FinRegistry-

Age distribution of first events

-FinnGen-

Age distribution of first events

-FinRegistry-

Year distribution of first events

-FinnGen-

Year distribution of first events

-FinRegistry-

Cumulative Incidence Function

-FinnGen-

Cumulative Incidence Function

Not a core endpoint, no data to show.

CodeWAS

↥

CodeWAS is a tool for exploring the associations between an endpoint and all of the medical codes and drug codes.

This is a new tool, please reach out using the contact form for feedback and improvement ideas.

First, a cohort is built by matching controls to the endpoint cases using year of birth and sex. Then, a Fisher test is done for all the medical codes and drug codes between the cases and controls of this cohort. Codes are reported in the table below if they have −log10(p-value) ≥ 6.

No data available

LabWAS

↥
OMOP Concept
People with measurements
Mean N measurements
Mean measured value
(ID) Name
N Cases
N Controls
OR
-log10(p)
cases
controls
cases
controls
unit
-log10(p)
N cases
N controls
16
57
3.68
3.98
2.4
1.4
—
—
—
0
0
12
33
4.47
3.60
7.3
3.5
0.00
0.00
%
—
6
8
12
34
4.33
3.50
6.2
3.0
0.50
0.44
%
—
6
9
27
144
2.95
3.38
5.5
3.6
25.57
22.43
ng/l
0.26
21
95
6
7
9.54
3.36
6.3
1.7
—
—
—
0
0
12
36
4.07
3.31
7.3
3.3
0.00
0.09
%
—
6
11
30
171
2.95
3.30
14.9
6.2
—
—
—
0
0
17
72
3.08
3.16
1.5
1.7
1328.92
1177.45
nmol/l
0.27
12
56
12
38
3.84
3.13
7.3
3.3
0.17
0.62
%
—
6
13
5
5
10.92
3.04
5.2
2.4
22.48
24.74
mmol/l
—
5
5
5
5
10.92
3.04
1.2
1.4
—
—
—
0
0
5
5
10.92
3.04
12.4
1.2
—
—
—
0
0
20
96
2.83
2.96
8.9
4.2
0.00
0.00
estimate
—
9
34
32
198
2.78
2.87
13.3
5.2
0.17
0.19
e9/l
0.37
32
176
21
116
2.42
2.25
9.0
4.1
7.37
7.40
ph
—
5
21
11
44
2.93
2.19
1.2
1.3
—
—
—
0
0
9
32
3.21
2.13
5.2
3.1
—
—
—
0
0
26
162
2.29
2.09
2.4
2.0
103.16
100.61
pmol/l
0.08
16
80
7
21
3.71
2.05
6.0
2.3
127.57
127.81
g/l
—
7
21
6
16
4.12
2.00
4.3
2.9
25.42
24.83
mmol/l
—
6
16
6
16
4.12
2.00
4.2
2.2
0.75
0.71
%
—
6
16
6
16
4.12
2.00
4.2
2.2
0.67
1.47
%
—
6
16
18
99
2.29
1.90
9.3
3.8
—
—
—
0
0
19
107
2.27
1.90
6.4
3.9
—
—
—
0
0
9
36
2.83
1.85
3.4
1.2
—
—
—
0
0
28
187
2.16
1.83
9.0
5.7
0.00
0.00
estimate
—
9
35
6
18
3.64
1.81
4.3
2.1
—
—
—
0
0
7
24
3.23
1.80
1.1
1.2
—
—
—
0
0
19
110
2.19
1.76
6.8
4.4
—
—
—
0
0
28
189
2.12
1.76
7.7
4.1
0.00
0.00
estimate
—
9
32
8
31
2.88
1.75
5.8
3.2
0.73
2.26
mmol/l
—
8
24
5
15
3.58
1.56
2.8
3.5
18.40
226.89
u/ml
—
5
9
9
40
2.53
1.50
1.8
1.5
—
—
—
0
0
9
40
2.53
1.50
4.9
1.3
67.74
66.50
g/l
—
9
35
14
76
2.18
1.49
8.4
3.0
491.71
539.10
mosm/kgh2o
0.44
14
61
20
125
2.01
1.48
4.9
2.3
—
—
—
0
0
27
188
1.97
1.48
7.9
4.0
0.00
0.00
estimate
—
9
38
5
16
3.35
1.47
6.8
2.7
0.12
0.08
e6/l
—
5
16
17
103
2.00
1.36
7.9
7.7
—
—
—
0
0
10
50
2.26
1.27
12.1
8.1
103.70
103.74
mmol/l
—
10
50
11
59
2.11
1.19
3.1
1.5
—
—
—
0
0
7
31
2.46
1.16
7.1
3.5
—
—
—
0
0
20
139
1.74
1.01
4.0
2.4
—
—
—
0
0
24
177
1.70
0.98
49.7
11.4
1.62
1.18
inr
—
10
51
21
152
1.67
0.90
4.1
3.6
—
5.92
—
0
6
15
99
1.74
0.89
5.7
4.0
17.08
17.19
mg/mmol
—
10
58
11
69
1.77
0.76
1.3
1.3
20.98
41.34
iu/ml
—
5
28
32
269
1.55
0.67
9.3
4.2
—
—
—
0
0
5
29
1.80
0.65
7.8
1.3
—
—
—
0
0
13
90
1.60
0.63
5.3
3.3
105.23
128.08
mg/l
—
8
56
6
35
1.81
0.60
1.7
1.2
—
—
—
0
0
14
101
1.54
0.58
2.3
1.7
19.19
24.28
nmol/l
0.58
14
85
9
62
1.55
0.57
1.4
1.2
—
—
—
0
0
11
75
1.60
0.56
6.5
2.7
4.36
4.09
e6/l
0.05
11
67
11
77
1.55
0.51
3.1
1.7
—
—
—
0
0
8
56
1.51
0.45
1.4
1.4
—
—
—
0
0
5
32
1.62
0.44
13.4
3.7
—
—
—
0
0
0
15
0.00
0.42
0.0
2.3
—
—
—
0
0
0
16
0.00
0.42
0.0
1.0
—
—
—
0
0
9
124
0.66
0.42
3.3
4.3
1.25
1.92
ug/l
—
9
112
43
404
1.52
0.37
35.5
13.3
16.34
23.21
mg/l
1.66
36
322
20
168
1.32
0.35
2.4
2.0
—
—
—
0
0
16
133
1.30
0.29
3.6
3.1
—
—
—
0
0
44
416
1.56
0.28
38.2
12.5
—
—
—
0
0
40
414
0.82
0.26
37.4
15.8
99.23
75.79
umol/l
0.69
40
414
0
10
0.00
0.21
0.0
1.8
—
—
—
0
0
0
12
0.00
0.21
0.0
5.7
—
33.71
—
0
7
0
13
0.00
0.21
0.0
1.2
—
—
—
0
0
6
49
1.26
0.21
1.2
1.4
—
—
—
0
0
10
81
1.29
0.21
3.7
2.8
2.42
2.45
mmol/l
—
10
71
11
92
1.25
0.18
4.0
3.8
—
—
—
0
0
6
77
0.75
0.17
5.2
3.1
18.00
26.03
ng/l
—
6
59
13
119
1.13
0.06
1.6
1.4
—
—
—
0
0
28
270
1.09
0.04
3.9
4.0
—
—
—
0
0
37
378
0.91
0.03
5.8
4.5
6.26
5.97
mmol/l
0.36
31
345
36
361
0.99
0.00
8.9
5.4
40.99
39.83
mmol/mol
0.23
31
337
12
116
1.05
0.00
6.1
3.1
—
—
—
0
0
0
5
0.00
-0.00
0.0
1.0
—
194.40
—
0
5
0
6
0.00
-0.00
0.0
1.5
—
—
—
0
0
0
5
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
7
0.00
-0.00
0.0
2.1
—
5.19
—
0
7
0
8
0.00
-0.00
0.0
11.9
—
—
—
0
0
0
6
0.00
-0.00
0.0
1.5
—
—
—
0
0
0
6
0.00
-0.00
0.0
4.2
—
21.50
—
0
6
0
5
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
6
0.00
-0.00
0.0
1.7
—
—
—
0
0
0
7
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
-0.00
0.0
1.8
—
—
—
0
0
0
5
0.00
-0.00
0.0
1.2
—
200.00
—
0
5
0
6
0.00
-0.00
0.0
1.2
—
—
—
0
0
0
7
0.00
-0.00
0.0
3.0
—
—
—
0
0
0
8
0.00
-0.00
0.0
1.1
—
—
—
0
0
0
8
0.00
-0.00
0.0
1.3
—
—
—
0
0
0
6
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
7
0.00
-0.00
0.0
2.9
—
234.00
—
0
7
0
7
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
9
0.00
-0.00
0.0
1.0
—
—
—
0
0
0
8
0.00
-0.00
0.0
1.0
—
—
—
0
0

Mortality – FinRegistry

↥

Association

Association between endpoint D3_AIHA_DRUG and mortality.

Females

Parameter HR [95% CI] p-value
D3_AIHA_DRUG 2.793 [1.83, 4.26] < 0.001
Birth year 0.991 [0.98, 1.0] 0.047

During the follow-up period (1.1.1998 — 31.12.2019), 89 out of 199 females with D3_AIHA_DRUG died.

Males

Parameter HR [95% CI] p-value
D3_AIHA_DRUG 3.119 [1.76, 5.53] < 0.001
Birth year 0.989 [0.98, 1.0] 0.023

During the follow-up period (1.1.1998 — 31.12.2019), 65 out of 146 males with D3_AIHA_DRUG died.

Mortality risk

Mortality risk for people of age

years, who have D3_AIHA_DRUG.

N-year risk Females Males
1 0.302% 0.613%
5 1.661% 3.818%
10 3.544% 9.049%
15 6.681% 16.557%
20 11.785% 27.62%

Relationships between endpoints

↥

Index endpoint: D3_AIHA_DRUG – Drug-induced autoimmune haemolytic anaemia

GWS hits: -

Endpoint
Case Overlap
Survival Analysis
Genetic Correlations
Genetic Signals
N (Jaccard index)
HR [CI]
rg [CI]
Hits
Coloc Hits
FinRegistry
FinnGen
FinRegistry
FinnGen
FinnGen
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