Miliary tuberculosis

AB1TUBERCU_MILIARY

Endpoint definition

Endpoint definition steps

FinnGen

Phenotype data

520210

1. Apply sex-specific rule

None

520210

2. Check conditions

None

520210

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

Registry filters:

  • Hospital discharge: ICD-10 A19
  • Hospital discharge: ICD-9 01[8]
  • Hospital discharge: ICD-8 01[8]
  • Cause of death: ICD-10 A19
  • Cause of death: ICD-9 01[8]
  • Cause of death: ICD-8 01[8]

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

63

4. Check minimum number of events

None

63

5. Include endpoints

None

63

6. Filter based on genotype QC (FinnGen only)

63

Control definitions (FinnGen only)

Control exclude
AB1_TUBERCULOSIS

Extra metadata

Level in the ICD hierarchy
3
First used in FinnGen datafreeze
DF5

Case counts by codes

FinnGen case counts by registry codes:

generic upset plot

Upset plot

Full data table

Summary Statistics

-FinRegistry-

Key figures

All Female Male
Number of individuals
Whole population 1151 536 575
Only index persons 525 252 273
Unadjusted period prevalence (%)
Whole population 0.02 0.02 0.02
Only index persons 0.01 0.01 0.01
Median age at first event (years)
Whole population 69.91 73.54 66.67
Only index persons 65.62 67.62 63.77

-FinnGen-

Key figures

All Female Male
Number of individuals 63 24 39
Unadjusted period prevalence (%) 0.01 0.01 0.02
Median age at first event (years) 69.28 66.71 70.87

-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

No data

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
51
Matched controls
508
Code
Vocabulary
Description
Odds Ratio
-log10(p)
N matched cases
N matched controls
A19.1
ICD-10 Finland
Acute miliary tuberculosis of multiple sites
+∞
18.9
17
*
A19.9
ICD-10 Finland
Miliary tuberculosis, unspecified
+∞
15.4
14
*
A19.0
ICD-10 Finland
Acute miliary tuberculosis of a single specified site
+∞
11.9
11
*
R50.9
ICD-10 Finland
Fever, unspecified
7.8
7.8
19
36
A19.2
ICD-10 Finland
Acute miliary tuberculosis, unspecified
+∞
7.5
7
*
A19.8
ICD-10 Finland
Other miliary tuberculosis
+∞
7.5
7
*
A15.0
ICD-10 Finland
Tuberculosis of lung, confirmed by sputum microscopy with or without culture
+∞
6.4
6
*

Mortality – FinRegistry

Association

Association between endpoint AB1TUBERCU_MILIARY and mortality.

Females

Parameter HR [95% CI] p-value
AB1TUBERCU_MILIARY 2.344 [1.68, 3.27] < 0.001
Birth year 0.994 [0.99, 1.0] 0.142

During the follow-up period (1.1.1998 — 31.12.2019), 106 out of 196 females with AB1TUBERCU_MILIARY died.

Males

Parameter HR [95% CI] p-value
AB1TUBERCU_MILIARY 3.085 [2.04, 4.67] < 0.001
Birth year 0.986 [0.98, 1.0] 0.004

During the follow-up period (1.1.1998 — 31.12.2019), 139 out of 241 males with AB1TUBERCU_MILIARY died.

Mortality risk

Mortality risk for people of age

years, who have AB1TUBERCU_MILIARY.

N-year risk Females Males
1 0.247% 0.503%
5 1.401% 3.278%
10 3.368% 8.075%
15 6.323% 14.981%
20 11.127% 24.438%

Relationships between endpoints

Index endpoint: AB1TUBERCU_MILIARY – Miliary tuberculosis

GWS hits: -

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