| Literature DB >> 34332637 |
Asuka Okamura1, Eriko Yano1, Wataru Isono2, Akira Tsuchiya1, Michiko Honda1, Ako Saito1, Hiroko Tsuchiya1, Reiko Matsuyama1, Akihisa Fujimoto1, Osamu Nishii1.
Abstract
BACKGROUND: The presence of uterine endometrial polyps is associated with not only abnormal uterine bleeding but also infertility, so the use of hysteroscopic polypectomy has been increasing. This operation is considered to increase cost-effectiveness when performed prior to infertility treatments. However, there are typical problems to consider, including the possibility of spontaneous regression of the polyp and the duration of complete endometrial wound healing after surgery. Meaningless interventions must be avoided, when possible. Therefore, data acquisition and analysis of various findings obtained from surgery have become important for improving treatment procedures and patient selection. To estimate the spontaneous regression rates and contributions of multiple factors to uterine endometrial polyps during the waiting period (approximately 2-3 months) before hysteroscopic polypectomy, we performed a multivariate analysis of data from the records in our hospital.Entities:
Keywords: Hysteroscopic polypectomy; Multivariate analysis; Retrospective study; Spontaneous regression; Uterine endometrial polyp
Mesh:
Year: 2021 PMID: 34332637 PMCID: PMC8325800 DOI: 10.1186/s13256-021-02982-4
Source DB: PubMed Journal: J Med Case Rep ISSN: 1752-1947
Patient characteristics
| Characteristics | Avg. ± SD (Min–Max), Number |
|---|---|
| Age (years old) | 39.2 ± 8.1 (22–86), |
| Parity | 0.55 ± 0.86 (0–4), |
| BMI (kg/m2) | 21.6 ± 3.1 (16.3–40.2), |
| Polyp size (mm) | 13.4 ± 6.8 (3.0–55.2), |
| Operation time (minutes) | 16.3 ± 8.7 (2–73), |
| Hormonal drug use | |
| Norethisterone–mestranol | |
| Norgestrel–ethinyl estradiol | |
| Dienogest | |
| Relugolix | |
| Others | |
| Symptoms | |
| Infertility | |
| Abnormal bleeding | |
| Hypermenorrhea | |
| No symptom | |
Data on representative patient characteristics obtained from medical records are summarized in this table. For each item, we calculated the average and standard deviation, minimal and maximal value, and count data from medical records. “Polyp size” refers to the maximum length of the target polyp measured by transvaginal ultrasonography before hospitalization in an outpatient setting. In the calculation of polyp size, 25 cases described as having a “small polyp” without specific figures in the medical records were excluded.
Avg. average, BMI body mass index, Min minimum, Max maximum, SD standard deviation
Relationship between polyp size and spontaneous regression rate
| Polyp size | % (regression/total cases) |
|---|---|
| Total | 6.6% ( |
| Less than 4.9 mm | 11.9% ( |
| 5.0–9.9 mm | 16.5% ( |
| 10.0–14.9 mm | 2.8% ( |
| 15.0–19.9 mm | 1.4% ( |
| Over 20.0 mm | 0.0% ( |
“Polyp size” refers to the maximum length of the target polyp measured by transvaginal ultrasonography before hospitalization in an outpatient setting.
Identification of influencing factors for spontaneously regressed polyps
| Factors | Number | OR (95% CI, number) | |
|---|---|---|---|
| Advanced age | 144 | 0.5 (0.2–1.3, | 0.64 |
| Nullipara | 280 | 1.1 (0.5–2.5, | 0.49 |
| High BMI | 49 | 0.6 (0.1–2.5, | 0.80 |
| Hormonal drug use | 258 | 4.2 (1.4–12.2, | 0.02 |
| Small polyp | 151 | 9.6 (3.6–25.9, | < 0.01 |
| Single polyp | 227 | 0.9 (0.4–1.8, | 0.72 |
| Infertility | 174 | 1.7 (0.8–3.7, | 0.66 |
| Abnormal bleeding | 96 | 0.7 (0.3–2, | 0.64 |
| Hypermenorrhea | 81 | 1.8 (0.8–4.2, | 0.20 |
| No symptom | 98 | 0.4 (0.1–1.3, | 0.96 |
A multivariate analysis of 424 patients with hysteroscopic polypectomy was performed to examine the influence of ten representative factors whose data were collected from medical records. The number of patients with each factor, the ORs and 95% CIs for the occurrence of spontaneously regressed polyps and the p-values are presented in this table. “Hormonal drug use” and “Small polyp” were identified as significant factors for the occurrence of spontaneous regression.
BMI body mass index, CI confidence interval, OR odds ratio