No definition available.
Endpoint definition
↥Report an error or suggest an improvement for this endpoint codes
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleNone |
520210 |
2. Check conditionsNone |
520210 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters:
2 out of 7 registries used, show all original rules. |
90 |
4. Check minimum number of eventsNone |
90 |
5. Include endpointsNone |
90 |
6. Filter based on genotype QC (FinnGen only) |
90 |
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
- Syndroma haemolytico-uraemicum
Similar endpoints
↥List of similar endpoints to
Haemolytic-uraemic syndrome
based on the number of shared cases.
Similar with more cases:
- Acquired haemolytic anaemia
- Haemolytic anaemias
- Anaemias
- Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
- Any operation in hilmo
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 569 | 325 | 242 |
Only index persons | 445 | 258 | 187 |
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 | 25.46 | 26.20 | 24.21 |
Only index persons | 25.69 | 26.59 | 24.44 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 90 | 50 | 40 |
Unadjusted period prevalence (%) | 0.02 | 0.02 | 0.02 |
Median age at first event (years) | 38.71 | 31.64 | 47.55 |
-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
CodeWAS (R11)
↥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.
Matched cohort
- Matched cases
- 81
- Matched controls
- 808
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint D3_NONAIHA_OTHER and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have D3_NONAIHA_OTHER.N-year risk | Females | Males |
---|---|---|
1 | No data | No data |
5 | No data | No data |
10 | No data | No data |
15 | No data | No data |
20 | No data | No data |
Relationships between endpoints
↥Index endpoint: D3_NONAIHA_OTHER – Haemolytic-uraemic syndrome
GWS hits: 1