| Literature DB >> 29888280 |
Ivan Mazzon1, Alessandro Favilli2, Mario Grasso1, Stefano Horvath1, Vittorio Bini2, Gian Carlo Di Renzo2, Sandro Gerli2.
Abstract
INTRODUCTION: The aim of the study was to analyze which variables influenced the completion of a cold loop hysteroscopic myomectomy in a one-step procedure in a large cohort of patients.Entities:
Mesh:
Year: 2018 PMID: 29888280 PMCID: PMC5985071 DOI: 10.1155/2018/8429047
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Characteristics of patients.
| One-step group (OS) | Multiple-step group (MS) | Total | p | |
|---|---|---|---|---|
| Patients | 1017 (83.7) | 198 (16.3) | 1215 | - |
| Procedures | 1017 (70.92) | 417 (29.08) | 1434 | - |
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| Age (years) | 43.13 ± 8.24 | 40.42 ± 6.08 | 42.69 ± 7.99 | 0.0001 |
| Nulliparous | 640 (62.9) | 135 (68.2) | 775 | 0.216 |
| Pluriparous | 377 (37.1) | 63 (31.8) | 440 | |
| Previous cesarean section | 159 (15.6) | 26 (13.1) | 185 (15.2) | 0.415 |
| GnRH agonist | 445 (43.8) | 134 (67.7) | 579 (47.6) | 0.0001 |
| Length of procedures (minutes) | 14.16 ± 9.24 | 19.08 ± 14.16 | 16 ± 11.05 | 0.0001 |
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| G0 | 34 (2.89) | 13 (2.54) | 47 (2.78) | 0.75 |
| G1 | 753 (63.92) | 285 (55.66) | 1038 (61.42) | 0.0016 |
| G2 | 391 (33.19) | 214 (41.8) | 605 (35.8) | 0.0008 |
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| G0 size (mm) | 18.03 ± 7.82 | 18.31 ± 8.45 | 18.11 ± 7.9 | 0.865 |
| G1 size (mm) | 20.94 ± 8.79 | 24.12 ± 11.21 | 21.81 ± 9.62 | 0.0001 |
| G2 size (mm) | 22.49 ± 9.11 | 28.6 ± 10.5 | 24.66 ± 10.05 | 0.0001 |
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| Single myoma procedures | 901(88.6) | 351 (84.2) | 1252 (87.3) | 0.028 |
| Multiple myomas procedures | 116 (11.4) | 66 (15.8) | 182 (12.7) | |
| Total myomas removed | 1178 (69.7) | 512 (30.3) | 1690 | 0.023 |
Data as reported as n (%) p = χ2 test with Yate's correction
∗ mean ± SD p = Mann–Whitney test.
Number of myomas treated according to the size (mm).
| G0 | G1 | G2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| One-step procedures | >40 | 40-20 | <20 | >40 | 40-20 | <20 | >40 | 40-20 | <20 |
| 0 (0) | 18 (52.9) | 16 (47.1) | 12 (1.6) | 471 (62.5) | 270 (35.9) | 13 (3.3) | 260 (66.5) | 118 (30.2) | |
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| Multiple-step procedures | >40 | 40-20 | <20 | >40 | 40-20 | <20 | >40 | 40-20 | <20 |
| 0 (0) | 7 (53.8) | 6 (46.2) | 20 (7) | 172 (60.4) | 93 (32.6) | 30 (14) | 149 (69.6) | 35 (16.4) | |
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| p | 0 | 0.955 | 0.955 | 0.0001 | 0.562 | 0.368 | 0.0001 | 0.486 | 0.0003 |
Data are reported as n (%)
p = χ2 test with Yate's correction.
Figure 1Multiple logistic regression model of variables influencing the multiple-step procedure. In order to scale OR in a more intelligible range, size of myomas is expressed as mean (cm) of all myomas treated in each patient. Grading of myomas is expressed as mean of all myomas treated in each patient. Multivariate logistic regression model was fit to the prediction of a cold loop hysteroscopic myomectomy in a single-step surgical procedure (coded as yes = 1 and no = 0), incorporating as explanatory variables all the variables that showed a p value ≤ 0.25 in bivariate analysis [11]. The goodness of fit for logistic regression models was checked using the Hosmer and Lemeshow test.