No definition available.
Endpoint definition
↥
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. |
387 |
4. Check minimum number of eventsNone |
387 |
5. Include endpointsNone |
387 |
6. Filter based on genotype QC (FinnGen only) |
387 |
Control definitions (FinnGen only)
- Control exclude
- H7_LIDLACRIMALORBIT
Extra metadata
- Level in the ICD hierarchy
- 4
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- H05
- Name in latin
- Exophthalmus
Similar endpoints
↥List of similar endpoints to Exophthalmic conditions based on the number of shared cases.
Similar with more cases:
- Disorders of orbit
- Disorders of eyelid, lacrimal system and orbit
- Diseases of the eye and adnexa
- Any event in hilmo or specialist outpatient
- Any prescribed medicine buy
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 2738 | 1729 | 982 |
Only index persons | 2452 | 1594 | 858 |
Unadjusted period prevalence (%) | |||
Whole population | 0.04 | 0.05 | 0.03 |
Only index persons | 0.05 | 0.06 | 0.03 |
Median age at first event (years) | |||
Whole population | 55.09 | 55.33 | 54.47 |
Only index persons | 54.37 | 54.68 | 53.79 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 387 | 253 | 134 |
Unadjusted period prevalence (%) | 0.08 | 0.09 | 0.06 |
Median age at first event (years) | 52.25 | 52.15 | 52.44 |
-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
- 343
- Matched controls
- 3428
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint H7_EXOPTHALMUS and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
H7_EXOPTHALMUS | 1.549 [1.32, 1.81] | < 0.001 |
Birth year | 0.995 [0.99, 1.0] | 0.273 |
During the follow-up period (1.1.1998 — 31.12.2019), 278 out of 1435 females with H7_EXOPTHALMUS died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
H7_EXOPTHALMUS | 1.813 [1.45, 2.26] | < 0.001 |
Birth year | 0.984 [0.97, 0.99] | < 0.001 |
During the follow-up period (1.1.1998 — 31.12.2019), 235 out of 830 males with H7_EXOPTHALMUS died.
Mortality risk
Mortality risk for people of age
years, who have H7_EXOPTHALMUS.N-year risk | Females | Males |
---|---|---|
1 | 0.196% | 0.362% |
5 | 1.061% | 2.038% |
10 | 2.346% | 4.945% |
15 | 4.535% | 8.688% |
20 | 7.683% | 14.48% |
Relationships between endpoints
↥Index endpoint: H7_EXOPTHALMUS – Exophthalmic conditions
GWS hits: -