Table 5.
Outcome Variable |
Fisher Testa |
Logistic Regressionb |
||||
---|---|---|---|---|---|---|
Exposure Variable | Systolic Curling | P Value | Odds Ratio | P Value | Model | |
Disjunction present any site | Present | 47/1,974 (2.4) | 0.0067 | 3.6 (1.5-12.1) | 0.0144 |
|
Absent | 4/605 (0.7) | |||||
Inferolateral | Present | 24/134 (17.9) | 1.36 x 10-18 | 12.0 (5.9-24.5) | 8.94 x 10-12 |
|
Absent | 27/2,445 (1.1) | |||||
Inferior | Present | 44/1,508 (2.9) | 3.79 x 10-5 | 2.7 (1.2-6.8) | 0.0238 | |
Absent | 7/1,028 (0.7) | |||||
Anterior | Present | 32/1,405 (2.3) | 0.3221 | 0.9 (0.5-1.7) | 0.7671 | |
Absent | 19/1,121 (1.7) | |||||
Anterolateral | Present | 21/325 (6.5) | 2.55 x 10-7 | 1.2 (0.6-2.5) | 0.6069 | |
Absent | 30/2,233 (1.3) | |||||
Prolapse | Present | 30/76 (39.5) | 1.45 x 10-35 | 71.9 (37.1-143.0) | 9.48 x 10-36 |
|
Absent | 21/2,503 (0.8) | |||||
Prolapse of mural leaflet | Present | 28/70 (40.0) | 4.05 x 10-33 | 69.7 (35.5-140.1) | 4.27 x 10-34 |
|
Absent | 23/2,509 (0.9) |
Values are n/N (%) unless otherwise indicated.
Fisher exact test for independence between 2 categorical variables. In each case, this is between systolic curling (present/absent) and the exposure variable listed (present/absent).
There are 4 logistic models represented, each with systolic curling as the outcome (present/absent), and the exposure variables as listed. Logistic models are adjusted by age, sex, arterial hypertension, and body mass index.