| Literature DB >> 34636355 |
Hainan Xu1, Wenjing Wu2, Xinlu Wang3, Zhijun Xia1.
Abstract
OBJECTIVE: To investigate clinical factors including translabial ultrasound parameters, which are predictive for choosing pessary type (Ring or Gellhorn) in the fitting trial, and to establish a predictive model.Entities:
Mesh:
Year: 2021 PMID: 34636355 PMCID: PMC8547748 DOI: 10.1097/GME.0000000000001849
Source DB: PubMed Journal: Menopause ISSN: 1072-3714 Impact factor: 3.310
Characteristics of enrolled participants including the “Development,” “Validation,” and “Prospective” datasets
| Development set ( | Validation set ( | Prospective cohort ( | |
| Age, yrs | 65.03 ± 11.06 | 63.18 ± 9.47 | 65.57 ± 9.36 |
| Gravidity | 3 (0, 8) | 2 (0, 10) | 3 (0, 8) |
| Parity | 2 (0, 8) | 1 (0, 5) | 2 (0, 7) |
| BMI, kg/m2 | 24.47 ± 2.93 | 24.24 ± 2.43 | 24.84 ± 2.53 |
| Sexually active | |||
| Yes | 31 (26.72) | 14 (25.00) | 15 (23.81) |
| No | 85 (73.28) | 42 (75.00) | 48 (76.19) |
| Successful fitting type of pessary | |||
| Ring | 61 (50.41) | 29 (48.33) | 25 (39.68) |
| Gellhorn | 60 (49.59) | 31 (51.67) | 38 (60.32) |
| Postmenopausal | |||
| Yes | 115 (95.00) | 56 (93.33) | 59 (93.65) |
| No | 6 (5.00) | 4 (6.67) | 4 (6.35) |
| Previous hysterectomy | |||
| Yes | 10 (8.33) | 2 (3.33) | 5 (7.94) |
| No | 111 (91.67) | 58 (96.67) | 58 (92.06) |
| History of urinary incontinence | |||
| Yes | 60 (50.85) | 32 (53.33) | 29 (46.03) |
| No | 58 (49.15) | 28 (46.67) | 34 (53.97) |
| POP-Q measurements | |||
| Aa | 1 (−1, 3) | 1 (−2, 3) | 1 (−2, 3) |
| Ba | 2 (−1, 6) | 1.75 (−2, 7) | 1.5 (−2, 6) |
| C | −1 (−4, 6) | 0.75 (−6, 7) | 0 (−4, 6) |
| D | −3 (−4, 5) | −2 (−6, 7) | −2 (−4, 6) |
| Ap | −1 (−2, 3) | −1 (−2, 3) | −1 (−2, 3) |
| Bp | −1 (−2, 6) | −1 (−2, 4) | −1 (−2, 3) |
| Gh | 5 (3, 6) | 5 (3, 7) | 4 (3, 6) |
| Pb | 2 (2, 4) | 2 (1, 3) | 3 (2, 3) |
| TVL | 8 (6, 8) | 8 (5, 8) | 8 (4, 8) |
| POP-Q stage | |||
| II | 42 (34.71) | 22 (36.67) | 20 (31.75) |
| III | 76 (62.81) | 29 (48.33) | 39 (61.90) |
| IV | 3 (2.48) | 9 (15.00) | 4 (6.35) |
| LAM Avulsion | |||
| Yes | 7 (5.79) | 5 (8.33) | 8 (12.70) |
| No | 114 (94.21) | 55 (91.67) | 55 (87.30) |
| Enterocele | |||
| Yes | 6 (4.96) | 2 (3.33) | 4 (6.35) |
| No | 115 (95.04) | 58 (96.67) | 59 (93.65) |
| Cystocele | |||
| Yes | 100 (82.64) | 45 (75.00) | 55 (87.30) |
| No | 21 (17.36) | 15 (25.00) | 8 (12.70) |
| Uterine prolapse | |||
| Yes | 96 (79.34) | 52 (86.67) | 54 (85.70) |
| No | 25 (20.67) | 8 (13.33) | 9 (14.29) |
| Rectocele | |||
| Yes | 70 (57.85) | 36 (60.00) | 43 (68.25) |
| No | 51 (42.15) | 24 (40.00) | 20 (31.75) |
| HC on Valsalva, cm | 19.50 ± 2.55 | 18.95 ± 2.21 | 19.38 ± 2.06 |
| HA on Valsalva, cm2 | 26.60 ± 6.57 | 25.41 ± 5.71 | 26.36 ± 5.62 |
BMI, body mass index; HA, hiatal area; HC, hiatal circumference; LAM, levator ani muscle; POP-Q, Pelvic Organ Prolapse Quantification; SD, standard deviation.
Data are given as mean ± SD, median (range), or n (%).
Variables have missing data.
Demographic and clinical parameters of enrolled participants in relation to their pessary type in the “Development” dataset
| Ring group ( | Gellhorn group ( |
| |
| Age, yrs | 66.93 ± 11.20 | 63.10 ± 10.66 | 0.011 |
| Gravidity | 3 (0, 8) | 3 (1, 8) | 0.681 |
| Parity | 2 (0, 7) | 2 (1, 8) | 0.710 |
| BMI, kg/m2 | 24.15 ± 3.06 | 24.78 ± 2.78 | 0.223 |
| Sexually active | 0.349 | ||
| Yes | 13 (22.81) | 18 (30.51) | |
| No | 44 (77.19) | 41 (69.49) | |
| Postmenopausal | 0.414 | ||
| Yes | 57 (93.44) | 58 (96.67) | |
| No | 4 (6.56) | 2 (3.33) | |
| Previous hysterectomy | 0.178 | ||
| Yes | 3 (4.92) | 7 (11.7) | |
| No | 58 (95.08) | 53 (88.3) | |
| History of urinary incontinence | 0.856 | ||
| Yes | 31 (51.67) | 29 (50.00) | |
| No | 29 (48.33) | 29 (50.00) | |
| POP-Q measurements | |||
| Aa | 1 (−1, 3) | 1 (−1, 3) | 0.229 |
| Ba | 1.5 (−1, 6) | 2 (−1, 6) | 0.413 |
| C | −1 (−4, 6) | 0 (−4, 6) | 0.286 |
| D | −3 (−4, 4) | −3 (−4, 5) | 0.623 |
| Ap | −1 (−2, 1) | −1 (−1, 3) | 0.137 |
| Bp | −1 (−2, 6) | −1 (−1, 6) | 0.330 |
| Gh | 5 (3, 6) | 5 (3, 6) | 0.157 |
| Pb | 2 (2, 4) | 2 (2, 3) | 0.167 |
| TVL | 8 (6, 8) | 8 (6, 8) | 0.266 |
| POP-Q stage | 0.032 | ||
| II | 28 (45.90) | 14 (23.33) | |
| III | 32 (52.46) | 44 (73.33) | |
| IV | 1 (1.64) | 2 (3.33) | |
| LAM Avulsion | 0.234 | ||
| Yes | 2 (3.28) | 5 (8.33) | |
| No | 59 (96.72) | 55 (91.67) | |
| Enterocele | 0.414 | ||
| Yes | 4 (6.56) | 2 (3.33) | |
| No | 57 (93.44) | 58 (96.67) | |
| Cystocele | 0.497 | ||
| Yes | 49 (80.33) | 51 (85.00) | |
| No | 12 (19.67) | 9 (15.00) | |
| Uterine prolapse | 0.282 | ||
| Yes | 46 (75.41) | 50 (83.33) | |
| No | 15 (24.59) | 10 (16.67) | |
| Rectocele | 0.114 | ||
| Yes | 31 (50.82) | 39 (65.00) | |
| No | 30 (49.18) | 21 (35.00) | |
| HC on Valsalva, cm | 18.71 ± 2.20 | 20.39 ± 2.66 | 0.001 |
| HA on Valsalva, cm2 | 24.41 ± 5.79 | 28.82 ± 6.61 | <0.001 |
BMI, body mass index; HA, hiatal area; HC, hiatal circumference; LAM, levator ani muscle; POP-Q, pelvic organ prolapse quantitation.
Data are given as mean ± SD, median (range), or n (%).
Mann-Whitney U test or Chi-square.
Variables have missing data.
FIG. 1Univariable analysis of factors between the Ring group and the Gellhorn group in the “Development” dataset. (A) Age. (B) HC on Valsalva. (C) HA on Valsalva. (D) POP-Q stage.
Logistic regression for successful pessary type in a pessary fitting trial based on the “Development” dataset
| Univariate analysis | Multivariate analysis | |||||
| Characteristics | OR | 95% CI |
| OR | 95% CI |
|
| Age | 0.967 | 0.935-1.002 | 0.061 | 0.950 | 0.908-0.994 | 0.026 |
| POP-Q stage (IV vs III vs II) | 2.568 | 1.236-5.335 | 0.008 | 2.963 | 1.210-7.255 | 0.017 |
| HC on Valsalva | 1.355 | 1.123-1.635 | 0.002 | 1.348 | 1.103-1.647 | 0.004 |
| HA on Valsalva | 1.124 | 1.052-1.201 | 0.001 | – | – | – |
CI, confidence interval; HA, hiatal area; HC, hiatal circumference; OR, odds ratio; POP-Q, pelvic organ prolapse quantitation.
All characteristics are calculated as continuous variables.
Backward step-wise logistic regression including all characteristics with P < 0.10 in univariate analysis (age, POP-Q stage, HC on Valsalva, and HA on Valsalva) and excluding characteristics with P > 0.05 in multivariate analysis.
Gellhorn (N = 60) vs Ring (N = 61) (The smaller favors the Ring).
FIG. 2The receiver operating characteristic curve curves for three datasets. (A) “Development” dataset. (B) “Validation” dataset. (C) “Prospective” dataset.