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Factors influencing health status and contact with health services

Z21_FACTO_INFLUENCI_HEALTH_STATUS_CONTACT_W_HEALTH_SERVI

Endpoint definition

Endpoint definition steps

FinnGen

Phenotype data

473681

1. Apply sex-specific rule

None

473681

2. Check conditions

None

473681

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

Registry filters:

  • Hospital discharge: ICD-10 Z00-ZZB
  • Hospital discharge: ICD-9 V
  • Hospital discharge: ICD-8 Y
  • Cause of death: ICD-10 Z00-ZZB
  • Cause of death: ICD-9 V
  • Cause of death: ICD-8 Y

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

356065

4. Check minimum number of events

None

356065

5. Include endpoints

None

356065

6. Filter based on genotype QC (FinnGen only)

341432

Control definitions (FinnGen only)

Controls for this endpoint are individuals that are not cases.

Extra metadata

Level in the ICD hierarchy
1
First used in FinnGen datafreeze
DF4

Similar endpoints

List of similar endpoints to Factors influencing health status and contact with health services based on the number of shared cases.

Venn diagram with an highlighted set fully inside another set Similar with more cases:

Venn diagram with a set fully inside an highlighted set Similar with less cases:

Case counts by codes

FinnGen case counts by registry codes:

generic upset plot

Upset plot

Full data table

Summary Statistics

-FinRegistry-

This endpoint is excluded from FinRegistry analyses (omitted endpoint).

-FinnGen-

Key figures

All Female Male
Number of individuals 341432 212898 128534
Unadjusted period prevalence (%) 76.44 83.61 64.55
Median age at first event (years) 42.72 35.20 55.17

-FinnGen-

Age distribution of first events

-FinnGen-

Year distribution of first events

-FinnGen-

Cumulative Incidence Function

Not a core endpoint, no data to show.

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.

No data available

Mortality – FinRegistry

This endpoint is excluded from FinRegistry analyses (omitted endpoint).

Relationships between endpoints

Index endpoint: Z21_FACTO_INFLUENCI_HEALTH_STATUS_CONTACT_W_HEALTH_SERVI – Factors influencing health status and contact with health services

GWS hits: -

This endpoint is excluded from FinRegistry analyses (omitted endpoint).