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. 2022 Nov;15(11):1856–1866. doi: 10.1016/j.jcmg.2022.07.015

Table 5.

Prevalence of Systolic Curling in Relation With Disjunction, Prolapse, or Billowing

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
  • 1.

    Curling by disjunction

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
  • 2.

    Curling by disjunction (4 sites simultaneously)

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
  • 3.

    Curling by prolapse

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
  • 4.

    Curling by mural leaflet prolapse

Absent 23/2,509 (0.9)

Values are n/N (%) unless otherwise indicated.

a

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).

b

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.