Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 1 of 14
Appendix 1. Participant Characteristics Between Those With and Without Recurrent Prolapse as Defined Using a Composite Definition
Recurrence =
209 (20%)
No Recurrence
= 850 (80%)
Variables N (%) or
Mean (SD)
N (%) or Mean (SD)
N (%) or Mean
(SD) p-value Study
CARE 278 (26%) 20 (10%) 258 (30%) <0.001
COLPO 94 (9%) 13 (6%) 81 (10%)
OPTIMAL 299 (28%) 72 (35%) 227 (27 %) OPUS 388 (37 %) 104 (50%) 284 (33%)
Age, years 62.8 (11.2) 62.2 (10.6) 62.9 (11.3) 0.449
Race
African American 63 (6%) 9 (4%) 54 (6%) 0.189
Caucasian 945 (89%) 186 (89%) 759 (89%)
Other 50 (5%) 14 (7%) 36 (4%)
Missing 1 (0%)
Vaginal Parity 2.9 (1.8) 3.5 (2.3) 2.9 (1.6) <0.001
Missing 99 (10%)
BMI, kg/m2 28 (5.2) 28.5 (5.3) 27.9 (5.2) 0.144
Missing 7 (1%) Prior Hysterectomy
Yes 481 (46 %) 79 (38%) 402 (47%) 0.014 No 574 (54 %) 129 (62%) 445 (53%)
Missing 4 (0%) Estrogen Therapy
Yes 358 (34%) 64 (33%) 294(38%) 0.152
No 603 (57%) 131 (67%) 472 (62%) Missing 98 (10%)
Tissue Disorders
Yes 14 (1%) 4 (2%) 10 (1%) 0.397
No 1030 (97%) 201 (98%) 829 (99%) Missing 15 (1%)
Cardiac Disorders
Yes 193 (18%) 29 (14%) 164 (19%) 0.072 No 859 (81 %) 178 (86%) 681 (81%)
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 2 of 14
Missing 7 (1%) Vascular Disorders
Yes 434 (41%) 85 (41 %) 349 (42 %) 0.879 No 611 (58 %) 122 (59 %) 489 (58 %)
Missing 14 (1%) Number of Comorbid
Conditions 2.5 (1.7) 2.5 (1.8) 2.5 (1.7) 0.719
Missing 4 (0%) Prior incontinence surgery
Yes 56 (5%) 12 (6%) 44 (5%) 0.741
No 999 (95%) 196 (94%) 803 (95%) Missing 4 (0%)
Prior surgery for prolapse repair
Yes 205 (19%) 30 (14%) 175 (21%) 0.042 No 850 (81%) 178 (86%) 672 (79 %)
Missing 4 (0%) POPQ
II 253 (24%) 36 (17%) 217 (26 %) 0.028 III 669 (63%) 138 (67%) 531 (63%)
IV 130 (12 %) 32 (16%) 98 (12%) Missing 7 (1%)
POPQ Ba 2.8 (2.5) 3.4 (2.6) 2.7 (2.5) <0.001
Missing 2 (0%)
POPQ C 0.3 (4.4) 0.9 (4.5) 0.1 (4.3) 0.018
Missing 4 (0%)
POPQ BP 0.3 (3.2) 0.5 (3.4) 0.3 (3.2) 0.499
Missing 3 (0%)
POPQ GH 5.0 (1.5) 5.2 (1.5) 4.9 (1.5) 0.011
Missing 13 (1%) Anterior repair
Yes 493 (47 %) 107 (51 %) 386 (45%) 0.133 No 566 (53 %) 102 (49%) 464 (55%)
Posterior repair
Yes 412 (39%) 76 (36 %) 336 (40%) 0.400
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 3 of 14
No 647 (61%) 133 (64%) 514 (60%) Missing 0 (0%)
Continence Procedure
Burch 133 (13%) 10 (5%) 123 (15%) <0.001 Sling/TVT 524 (49 %) 128 (61%) 396 (47%)
Other 10 (1%) 3 (1%) 7 (1%)
None 392 (37%) 68 (33%) 324 (38%) Concurrent hysterectomy or
oophorectomy
Yes 581 (55%) 124 (59%) 457 (54 %) 0.147 No 478 (45 %) 85 (41%) 393 (46%)
Anesthetic
General 996 (94%) 198 (95%) 798 (94%) 0.543
Regional 60 (6%) 10 (5%) 50 (6%)
Missing 3 (0%) Heavy Lifting Frequency
Never 371 (35 %) 67 (36%) 304 (40%) 0.114 1 per week 100 (9%) 19 (10%) 81 (11%)
Greater Than 1 per Week 203 (19%) 38 (20%) 165 (22 %) Less Than 1 per Month 19 (2%) 1 (1%) 18 (2%)
1 per Month 103(10 %) 29 (16%) 74 (10%) 2 or 3 per Month 143 (14%) 32 (18%) 110 (15%)
Missing 120 (11%) SF-36 Question 3
Limited a little 370 (35%) 69 (35%) 301 (37%) 0.866 Limited a lot 457 (43 %) 92 (47%) 365 (45%)
Not limited at all 175 (17 %) 34 (17%) 141 (18 %) Missing 57 (5%)
Strenuous Exercise
(Days/week) 1.2 (1.7) 1.1 (1.7) 1.2 (1.7) 0.866
Missing 123 (12%) Any Strenuous Physical
Activity
Yes 658 (62%) 137 (73 %) 521 (69%) 0.287 No 281 (27%) 50 (27 %) 231 (31%)
Missing 120 (11 %)
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 4 of 14
Smoking Status
Current 66 (6%) 13 (6%) 53 (6%) 0.424
Never 646 (62%) 135 (65 %) 511 (61%) Former 339 (31%) 59 (29%) 280 (33%) Missing 8 (1%)
Lower GI Diagnosis
Yes 158 (15%) 25 (12%) 133 (16%) 0.163 No 887 (84%) 183 (88%) 704 (84%)
Missing 14 (1%) Upper GI Diagnosis
Yes 235 (22%) 35 (17%) 200 (24%) 0.030 No 807 (76%) 172 (83%) 635 (76%)
Missing 17 (2%) Use of anticoagulants
Yes 48 (5%) 7 (3%) 41 (5%) 0.359
No 1011 (95%) 202 (97%) 809 (95%) Missing 0 (0%)
Vault suspension repair type ¶
Abdominal 278 (26%) 20 (10%) 258 (30 %) <0.001 Colpocleisis 120 (12%) 16 (8%) 104 (12%)
SSLS 198 (18.7%) 54 (25.8%) 114 (16.9%) USLS 410 (38.7%) 110 (52.6%) 300 (35.3%)
Other 15 (1.4%) 2 (1%) 13(1.5%)
None 38 (4%) 7 (3%) 31 (4%)
Pelvic Organ Prolapse Quantification (POPQ) SSLS = sacrospinous ligament suspension USLS = uterosacral ligament suspension
CARE = Colpopexy and Urinary Reduction Efforts trial
OPUS = Outcomes Following Vaginal Prolapse Repair and Midurethral Sling trial OPTIMAL = Operations and Pelvic Muscle Training in the Management of Apical Support Loss trial
¶ One participant received a uterosacral ligament suspension and sacrospinous ligament suspension and was classified as receiving a uterosacral ligament suspension for this analysis
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 5 of 14
P-value was calculated with chi-square tests for categorical variables and t-Test for continuous variables
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 6 of 14
Appendix 2. Participant Characteristics Between Those With and Without at Least one Serious Adverse Event
SAE = 222
(17%)
No SAE = 1079
(83%)
Variables N (%) or Mean
(SD)
N (%) or Mean (SD)
N (%) or Mean
(SD) p-value
Study
CARE 322 (25%) 83 (37%) 239 (22%) <0.001
COLPO 147 (11%) 23 (10%) 124 (11%)
OPTIMAL 372 (29%) 50 (23%) 322 (30%)
OPUS 460 (35%) 66 (30%) 394 (37%)
Age, years 62.8 (11.6) 64.2 (11.3) 62.5 (11.7) 0.061
Missing 1 (0%)
Race
African American 79 (6%) 17 (8%) 62 (6%) 0.277
Caucasian 1,151 (89%) 197 (89%) 954 (88%)
Other 69 (5%) 8 (4%) 61 (6%)
Missing 2 (0%)
Parity 3.0 (1.7) 2.9 (1.6) 3 (1.8) 0.627
Missing 154 (12%)
BMI, kg/m2 28.0 (5.2) 28.1 (5.6) 27.9 (5.1) 0.698
Missing 8 (0%)
Prior Hysterectomy
Yes 583 (45%) 115 (52%) 468 (44%) 0.026
No 712 (55%) 107 (48%) 605 (56%)
Missing 6 (0%)
Estrogen Therapy
Yes 419 (32%) 68 (34%) 351 (37%) 0.453
No 729 (56%) 131 (66%) 598 (63%)
Missing 153 (12%)
Tissue Disorders
Yes 15 (1%) 4 (2%) 11 (1%) 0.3327
No 1265 (97%) 217 (98%) 1048 (99%)
Missing 21 (2%)
Cardiac Disorders
Yes 242 (19%) 51 (23%) 191 (18%) 0.065
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 7 of 14
No 1048 (80%) 169 (77%) 879 (82%)
Missing 11 (1%)
Vascular Disorders
Yes 526 (40%) 93 (43%) 433 (41%) 0.591
No 756 (58%) 125 (57%) 631 (59%)
Missing 19 (1%)
Number of Comorbid
Conditions 2.5 (1.8) 2.6 (1.9) 2.5 (1.7) 0.221
Missing 6 (0%)
Prior incontinence surgery
Yes 67 (5%) 12 (5%) 55 (5%) 0.864
No 1228 (95%) 210 (95%) 1018 (95%)
Missing 6 (0%)
Prior surgery for prolapse
repair
Yes 242 (19%) 49 (22%) 193 (18%) 0.155
No 1053 (81%) 173 (78%) 880 (82%)
Missing 6 (0%)
POPQ
II 322 (25%) 41 (19%) 281 (26%) 0.05
III 807 (62%) 147 (67%) 660 (62%)
IV 160 (12%) 32 (14%) 128 (12%)
Missing 12 (1%)
POPQ Ba 2.8 (2.6) 3.1 (2.5) 2.8 (2.6) 0.06
Missing 2 (0%)
POPQ C 0.3 (4.4) 1.0 (4.4) 0.1 (4.4) 0.012
Missing 5 (0%)
POPQ BP 0.4 (3.3) 0.6 (3.3) 0.3 (3.3) 0.170
Missing 4 (0%)
POPQ GH 5.0 (1.5) 5.1 (1.6) 4.9 (1.5) 0.121
Missing 22 (2%)
Anterior repair
Yes 593 (46%) 90 (40%) 503 (47%) 0.098
No 708 (54%) 132 (60%) 576 (53%)
Posterior repair
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 8 of 14
Yes 498 (38%) 74 (33%) 424 (39%) 0.096
No 803 (62%) 148 (67%) 655 (61%)
Continence Procedure
Burch 154 (12%) 36 (16%) 118 (11%) 0.012
Sling/TVT 648 (50%) 94 (42%) 554 (51%)
Other 14 (1%) 5 (2%) 9 (1%)
None 485 (37%) 87 (39%) 398 (37%)
Concurrent hysterectomy
or oophorectomy
Yes 696 (54%) 107 (48%) 589 (55%) 0.082
No 605 (46%) 115 (52%) 490 (45%)
Anesthetic
General 1211 (93%) 204 (92%) 1007 (94%) 0.518
Regional 87 (7%) 17 (8%) 70 (6%)
Missing 3 (0%)
Heavy Lifting Frequency
Never 437 (34%) 83 (42%) 354 (38%) 0.938
1 per Week 113 (9%) 19 (10%) 94 (10%)
Greater Than 1 per Week 246 (19%) 39 (20%) 207 (22%)
Less Than 1 per Month 21(2%) 4(2%) 17(2%)
1 per Month 126(10%) 21(11%) 105(11%)
2 or 3 per Month 173 (13%) 30 (15%) 143 (15%)
Missing 185 (14%)
SF-36 Question 3
Limited a little 456 (35%) 79 (37%) 377 (37%) 0.44
Limited a lot 560 (43%) 105 (49%) 455 (45%)
Not limited at all 209 (16%) 31 (14%) 178 (18%)
Missing 76 (6%)
Strenuous 1.2 (1.7) 1.0 (1.7) 1.2 (1.7) 0.108
Missing 187 (14%)
Activity
Yes 787 (60%) 132 (67%) 655 (71%) 0.283
No 329 (25%) 64 (33%) 265 (29%)
Missing 185 (14%)
Smoking Status
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 9 of 14
Current 86 (7%) 18 (8%) 68 (6%) 0.221
Never 788 (61%) 122 (56%) 666 (62%)
Former 413 (32%) 77 (35%) 336 (31%)
Missing 14 (1%)
Lower GI Diagnosis
Yes 195 (15%) 27 (12%) 168 (16%) 0.189
No 1085 (83%) 192 (88%) 893 (84%)
Missing 21 (2%)
Upper GI Diagnosis
Yes 290 (22%) 54 (25%) 236 (22%) 0.445
No 988 (76%) 165 (75%) 823 (78%)
Missing 23 (2%)
Use of anticoagulants
Yes 67 (5%) 14 (6%) 53 (5%) 0.392
No 1234 (95%) 208 (94%) 1026 (95%)
Vault suspension repair
type ¶
Abdominal 322 (25%) 83 (37%) 239 (22%) <0.001
Colpocleisis 184 (14%) 31 (14%) 153 (14%)
SSLS 240 (18%) 35 (16%) 205 (19%)
USLS 489 (38%) 64 (29%) 425 (39%)
Other 20 (2%) 5 (2%) 15 (1%)
None 46 (4%) 4 (2%) 42 (4%)
Pelvic Organ Prolapse Quantification (POPQ) SSLS = sacrospinous ligament suspension USLS = uterosacral ligament suspension
CARE = Colpopexy and Urinary Reduction Efforts trial
OPUS = Outcomes Following Vaginal Prolapse Repair and Midurethral Sling trial OPTIMAL = Operations and Pelvic Muscle Training in the Management of Apical Support Loss trial
¶ One participant received a uterosacral ligament suspension and sacrospinous ligament suspension and was classified as receiving a uterosacral ligament suspension for this analysis
P-value was calculated with chi-square tests for categorical variables and t-Test for continuous variables
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 10 of 14
Appendix 3. Participant Characteristics Between Those With and Without at Least one Dindo Grade III or IV Complication
Dindo Grade III or IV = 147
(11%)
No Dindo Grade III or IV= 1154 (89%)
Variables N (%) or Mean
(SD)
Mean (SD) or n (%)
Mean (SD) or n
(%) p-value
Study
CARE 322 (25%) 53 (36%) 269 (23%) <0.001
COLPO 147 (11%) 16 (11%) 131 (12%)
OPTIMAL 372 (29%) 24 (16%) 348 (30%)
OPUS 460 (35%) 54 (37%) 406 (35%)
Age, years 62.8 (11.6) 63.8 (11.0) 62.7 (11.7) 0.298
Missing 1 (0%)
Race
African American 79 (6%) 9 (6%) 70 (6%) 0.779
Caucasian 1,151 (89%) 132 (90%) 1019 (88%)
Other 69 (5%) 6 (4%) 63 (6%)
Missing 2 (0%)
Parity 3.0 (1.7) 2.9 (1.6) 3.0 (1.7) 0.711
Missing 154 (12%)
BMI, kg/m2 28.0 (5.2) 28.0 (5.7) 28.0 (5.2) 0.894
Missing 8 (0%)
Prior Hysterectomy
Yes 583 (45%) 75 (51%) 508 (44%) 0.121
No 712 (55%) 72 (49%) 640 (56%)
Missing 6 (0%)
Estrogen Therapy
Yes 419 (32%) 46 (35%) 373 (37%) 0.727
No 729 (56%) 85 (65%) 644 (53%)
Missing 153 (12%)
Tissue Disorders
Yes 15 (1%) 4 (3%) 11 (1%) 0.064
No 1265 (97%) 143 (97%) 1122 (99%)
Missing 21 (2%)
Cardiac Disorders
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 11 of 14
Yes 242 (19%) 36 (25%) 206 (18%) 0.047
No 1048 (80%) 109 (75%) 939 (82%)
Missing 11 (1%)
Vascular Disorders
Yes 526 (40%) 63 (44%) 463 (41%) 0.481
No 756 (58%) 81 (56%) 675 (59%)
Missing 19 (1%)
Number of Comorbid
Conditions 2.5 (1.8) 2.7 (2.0) 2.5 (1.7) 0.074
Missing 6 (0%)
Prior incontinence surgery
Yes 67 (5%) 10 (7%) 57 (5%) 0.344
No 1228 (95%) 137 (93%) 1091 (95%)
Missing 6 (0%)
Prior surgery for prolapse
repair
Yes 242 (19%) 35 (24%) 207 (18%) 0.091
No 1053 (81%) 112 (76%) 941 (82%)
Missing 6 (0%)
POPQ
II 322 (25%) 28 (19%) 294 (26%) 0.1896
III 807 (62%) 101 (69%) 706 (62%)
IV 160 (12%) 18 (12%) 142 (12%)
Missing 12 (1%)
POPQ Ba 2.8 (2.6) 3.0 (2.4) 2.8 (2.6) 0.404
Missing 2 (0%)
POPQ C 0.3 (4.4) 0.7 (4.3) 0.2 (4.4) 0.193
Missing 5 (0%)
POPQ BP 0.4 (3.3) 0.6 (3.3) 0.3 (3.3) 0.453
Missing 4 (0%)
POPQ GH 5.0 (1.5) 5.1 (1.6) 4.9 (1.5) 0.348
Missing 22 (2%)
Anterior repair
Yes 593 (46%) 63 (43%) 530 (46%) 0.482
No 708 (54%) 84 (57%) 624 (54%)
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 12 of 14
Posterior repair
Yes 498 (38%) 54 (37%) 444 (38%) 0.683
No 803 (62%) 93 (63%) 710 (62%)
Continence Procedure
Burch 154 (12%) 22 (15%) 132 (11%) 0.030
Sling/TVT 648 (50%) 57 (39%) 591 (51%)
Other 14 (1%) 3 (2%) 11 (1%)
None 485 (37%) 65 (44%) 420 (36%)
Concurrent hysterectomy or
oopherectomy
Yes 696 (54%) 65 (44%) 631 (55%) 0.017
No 605 (46%) 82 (56%) 523 (45%)
Anesthetic
General 1211 (93%) 133 (91%) 1078 (94%) 0.259
Regional 87 (7%) 13 (9%) 74 (6%)
Missing 3 (0%)
Heavy Lifting Frequency
Never 437 (34%) 56 (43%) 381 (39%) 0.429
1 per Week 113 (9%) 16 (12%) 97 (10%)
Greater Than 1 per Week 246 (19%) 29 (22%) 217 (22%)
Less Than 1 per Month 21(2%) 3(2%) 18(2%)
1 per Month 126(10%) 9(7%) 117(12%)
2 or 3 per Month 173 (13%) 16 (12%) 157 (16%)
Missing 185 (14%)
SF-36 Question 3
Limited a little 456 (35%) 55 (38%) 401 (37%) 0.914
Limited a lot 560 (43%) 63 (44%) 497 (46%)
Not limited at all 209 (16%) 25 (18%) 184 (17%)
Missing 76 (6%)
Strenuous 1.2 (1.7) 1.0 (1.7) 1.2 (1.7) 0.401
Missing 187 (14%)
Activity
Yes 787 (60%) 87 (67%) 700 (71%) 0.415
No 329 (25%) 42 (33%) 287 (29%)
Missing 185 (14%)
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 13 of 14
Smoking Status
Current 86 (7%) 15 (10%) 71 (6%) 0.016
Never 788 (61%) 74 (51%) 714 (63%)
Former 413 (32%) 56 (39%) 357 (31%)
Missing 14 (1%)
Lower GI Diagnosis
Yes 195 (15%) 18 (13%) 177 (16%) 0.333
No 1085 (83%) 126 (87%) 959 (84%)
Missing 21 (2%)
Upper GI Diagnosis
Yes 290 (22%) 37 (26%) 253 (22%) 0.361
No 988 (76%) 107 (74%) 881 (78%)
Missing 23 (2%)
Use of anticoagulants
Yes 67 (5%) 9 (6%) 58 (5%) 0.571
No 1234 (95%) 138 (94%) 1096 (95%)
Missing
Vault suspension repair type
¶
Abdominal 322 (25%) 53 (36%) 269 (23%) 0.006
Colpocleisis 184 (14%) 23 (16%) 161(14%)
SSLS 240 (18%) 23 (16%) 217 (19%)
USLS 489 (38%) 41 (28%) 448 (39%)
Other 20 (2%) 4 (3%) 16 (1%)
None 46 (4%) 3 (2%) 43 (4%)
Pelvic Organ Prolapse Quantification (POPQ) SSLS = sacrospinous ligament suspension USLS = uterosacral ligament suspension
CARE = Colpopexy and Urinary Reduction Efforts trial
OPUS = Outcomes Following Vaginal Prolapse Repair and Midurethral Sling trial OPTIMAL = Operations and Pelvic Muscle Training in the Management of Apical Support Loss trial
¶ One participant received a uterosacral ligament suspension and sacrospinous ligament suspension and was classified as receiving a uterosacral ligament suspension for this analysis
Jelovsek JE, Chagin K, Lukacz ES, Nolen TL, Shepher JP, Barber MD, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol 2018; 132.
The authors provided this information as a supplement to their article.
©2018 American College of Obstetricians and Gynecologists. Page 14 of 14
P-value was calculated with chi-square tests for categorical variables and t-Test for continuous variables