This table includes the results of a comorbidity analysis carried out by means of Comorbidity4j over a specific patient population.
The comorbidity table is a spreadsheet (TAB-separated, UTF-8) where each row describes the result of the comorbidity analysis of a pair of diseases (diagnoses): disease A and disease B.
Each row includes the following sets of columns:
Disease pair identification columns
For each disease of the pair of diseases, a numeric (columns disAcodeNum / disBcodeNum) and string (columns disAcode / disBcode) identifier is provided, together with the extended name (column disAname / disBname). The string identifier is the one associated to the disease in the Diagnosis data file provided by the user (see: Patient input file format).
The following columns describing the number of patients experimenting the diseases A and / or B:
- patTotal: total number of patients of the comorbidity analysis
- patWdisA: number of patients with disease A
- patWdisB: number of patients with disease B
- patWdisAB: number of patients with disease A and disease B
- patWdisAnotB: number of patients with disease A and not disease B - patWdisBnotA: number of patients with disease B and not disease A
- patWOdisAB: number of patients without disease A and without disease B
Comorbidity scores columns
The following columns provide the comorbidity scores associated the the pair of diseases (see Comorbidity scores):
- Relative Risk Index (with lower and upper bounds of user-defined confidence interval)
- Phi Index
- Odds Ratio Index (with lower and upper bounds of user-defined confidence interval)
- Fisher Test
- Fisher Test Adjusted (by the adjustment approach specified by the Comorbidity analysis parameters)
- Comorbidity Score
Sex ratio columns
The following columns are useful to characterize the sex ratio:
- femaleWithDisA: female patients with disease A
- femaleWithDisB: female patients with disease B
- femaleWithDisAandB: female patients with disease A and disease B
- maleWithDisA: male patients with disease A
- maleWithDisB: male patients with disease B
- maleWithDisAandB: male patients with disease A and disease B
- sexRatioBA: a sex-ratio value close to zero indicates that the co-occurrence of the disease B with the disease A is equally likely for males and females. Positive (negative) values of sex ratio indicate that the co-occurrence of the disease B with the disease on the A is more likely for females (males).
- sexRatioAB: a sex-ratio value close to zero indicates that the co-occurrence of the disease A with the disease B is equally likely for males and females. Positive (negative) values of sex ratio indicate that the co-occurrence of the disease A with the disease on the B is more likely for females (males).
Example of first two lines of the Comorbidity table (in this example more than one TAB chars have been added to align visually column - the file generated by the tool adds a single TAB to separate columns):
disAcodeNum disAcode disAname 44 733.09 Other osteoporosis disBcodeNum disBcode disBname 69 427.31 Atrial fibrillation patTotal patWdisA patWdisB patWdisAB patWdisAnotB patWdisBnotA patWOdisAB 1095 37 35 10 27 25 1033 relativeRiskIndex relativeRiskCI_0.98_lower relativeRiskCI_0.98_upper phiIndex 8.33205 3.88583 17.86569 0.25335 oddsRatioIndex oddsRatioCI_0.99_lower oddsRatioCI_0.99_upper 15.3037 6.69374 34.98843 fisherTest fisherTestAdjusted expect score 5.48E-08 0.0001938966 1.18265 2.33335 femaleWithDisA femaleWithDisB femaleWithDisAandB maleWithDisA maleWithDisB maleWithDisAandB 24 9 5 13 26 5 sexRatioBA sexRatioAB -0.79493 0.47692