Pasteurella hemorrhagic septicemia: Any of several bacterial diseases, usually caused by pasteurella multocida, marked by the presence of hemorrhagic areas in the subcutaneous tissues, serous membranes, muscles, lymph glands, and throughout the internal organs. The diseases primarily affect animals and rarely humans.
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. |
67 |
4. Check minimum number of eventsNone |
67 |
5. Include endpointsNone |
67 |
6. Filter based on genotype QC (FinnGen only) |
67 |
Control definitions (FinnGen only)
- Control exclude
- ASTHMA_SEPTICHE_PNEUMONIA
Extra metadata
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- A41
- Name in latin
- Septic(h)aemia ab Haemophilo influenzae
Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 634 | 322 | 306 |
Only index persons | 485 | 264 | 221 |
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 | 61.69 | 65.59 | 57.45 |
Only index persons | 60.23 | 65.06 | 54.47 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 67 | 33 | 34 |
Unadjusted period prevalence (%) | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | 56.68 | 52.54 | 60.69 |
-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
- 62
- Matched controls
- 619
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint HAEMOPHIL_SEPTICHE and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
HAEMOPHIL_SEPTICHE | 3.291 [1.69, 6.41] | < 0.001 |
Birth year | 0.999 [0.99, 1.01] | 0.79 |
During the follow-up period (1.1.1998 — 31.12.2019), 77 out of 192 females with HAEMOPHIL_SEPTICHE died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
HAEMOPHIL_SEPTICHE | 3.733 [1.8, 7.73] | < 0.001 |
Birth year | 0.984 [0.97, 0.99] | 0.001 |
During the follow-up period (1.1.1998 — 31.12.2019), 77 out of 182 males with HAEMOPHIL_SEPTICHE died.
Mortality risk
Mortality risk for people of age
years, who have HAEMOPHIL_SEPTICHE.N-year risk | Females | Males |
---|---|---|
1 | 0.445% | 0.698% |
5 | 2.386% | 3.852% |
10 | 5.776% | 9.398% |
15 | 10.766% | 17.086% |
20 | 18.101% | 28.376% |
Relationships between endpoints
↥Index endpoint: HAEMOPHIL_SEPTICHE – Haemophilus septicemia
GWS hits: -