| Literature DB >> 30426613 |
Andrada Pasc1, Dan Navolan2,3, Lucian Pușcașiu1, Cringu Antoniu Ionescu4, Florin Adrian Szasz5, Adrian Carabineanu6, Mihai Dimitriu4, Daniel Călin4, Roxana Bohilțea4, Liana Ples4, Dragoș Nemescu7.
Abstract
RATIONALE, AIMS, ANDEntities:
Keywords: Romania; episiotomy; episiotomy rate; vaginal birth
Mesh:
Year: 2018 PMID: 30426613 PMCID: PMC6587480 DOI: 10.1111/jep.13062
Source DB: PubMed Journal: J Eval Clin Pract ISSN: 1356-1294 Impact factor: 2.431
Association between the prevalence of episiotomy and maternal and neonatal results
| Total Number of Patients | Prevalence of Episiotomy (%) | Prevalence Ratio (95% CI) |
| ||
|---|---|---|---|---|---|
| Total | 11 863 | 8475 (71.4) | |||
| Parity | 1 | 5470 | 5072 (92.7) | 1 | <.001 |
| 2 | 3704 | 2713 (73.2) | 0.80 (0.76‐0.83) | ||
| 3 | 1265 | 441 (34.9) | 0.38 (0.35‐0.42) | ||
| >3 | 1424 | 249 (17.5) | 0.19 (0.17‐0.22) | ||
| Gestational age (in weeks) | <30 | 84 | 45 (53.6) | 1 | <.001 |
| 30‐33 | 265 | 147 (55.5) | 1.03 (0.74‐1.44) | ||
| 34‐37 | 1320 | 812 (61.5) | 1.16 (0.86‐1.57) | ||
| >37 | 10 194 | 7471 (73.3) | 1.42 (1.06‐1.90) | ||
| Age group (in years) | <20 | 1218 | 982 (80.6) | 1 | <.001 |
| ≥20 | 10 645 | 7493 (70.4) | 0.84 (0.79‐0.90) | ||
| Apgar score at 1 minute | 0 | 17 | 17 (100.0) | 1 | .002 |
| 1‐3 | 45 | 45 (100.0) | 2.18 (1.25‐3.81) | ||
| 4‐7 | 421 | 289 (68.6) | 2.41 (1.48‐3.93) | ||
| >7 | 11 316 | 8124 (71.8) | 2.46 (1.53‐3.96) | ||
| Birth weight (in grams) | <1500 | 147 | 61 (41.5) | 1 | <.001 |
| 1501‐2500 | 1192 | 683 (57.3) | 1.34 (1.02‐1.74) | ||
| 2501‐3500 | 8063 | 5941 (73.7) | 1.75 (1.36‐2.25) | ||
| >3500 | 2461 | 1790 (72.7) | 1.74 (1.35‐2.24) | ||
| Use of oxytocin during the labour | No | 6526 | 4274 (65.5) | 1 | .003 |
| Yes | 5337 | 4201 (78.7) | 1.08 (1.03‐1.14) | ||
| Involvement of the ischiatic fosa | No | 11 854 | 8467 (71.4) | 1 | 0.48 |
| Yes | 9 | 8 (88.9) | 1.29 (0.64‐2.57) | ||
| Anal sphincter involvement | No | 11 823 | 8456 (71.5) | 1 | 0.01 |
| Yes | 40 | 19 (47.5) | 0.56 (0.36‐0.89) | ||
| Daytime of birth (in hours) | [8‐13] | 1011 | 713 (70.5) | 1 | 0.90 |
| [13‐21] | 9084 | 6545 (72.0) | 0.98 (0.89‐1.08) | ||
| [21‐8] | 1768 | 1217 (68.8) | 0.98 (0.90‐1.08) |
n is the number of patients with episiotomy and % is the prevalence of episiotomy.
95% confidence interval.
Wald test P‐value from the random effects Poisson model.
Association between need of suture and other perineal sutures with episiotomy practice
| Episiotomy | Not Episiotomy | Prevalence Ratio (95% CI) |
| |
|---|---|---|---|---|
| Total | 8.475 | 3.388 | ||
| Prevalence of need for suture | 8288 (97.8) | 1112 (32.8) | 2.99 (2.81‐3.18) | <.001 |
| Prevalence of labial scar | 288 (3.4) | 455 (13.4) | 0.32 (0.27‐0.37) | <.001 |
| Prevalence of vaginal scar | 46 (0.5) | 255 (7.5) | 0.09 (0.06‐0.12) | <.001 |
| Prevalence of anterior involvement | 350 (4.1) | 60 (1.8) | 1.94 (1.48‐2.56) | <.001 |
| Prevalence of cervical tear | 970 (11.4) | 214 (6.3) | 1.75 (1.50‐2.03) | <0.0001 |
95% confidence interval.
Wald test P‐value from the random effects Poisson model.
n is the number of patients with a given perineal lesion and % is the prevalence of the underlined
perineal lesion.
Multivariable analysis showing the association between the episiotomy practice and type of surgeon, parity, Apgar score at 1 minute, and birth weight
| Covariates | Adjusted PR | 95% CI |
| ||
|---|---|---|---|---|---|
| Fixed effects component | Type of surgeon | Midwife | 1 | <.001 | |
| Doctor | 0.41 | 0.34‐0.51 | |||
| Parity | 1 | 1 | <.001 | ||
| 2 | 0.80 | 0.76‐0.84 | |||
| 3 | 0.39 | 0.36‐0.43 | |||
| >3 | 0.20 | 0.17‐0.22 | |||
| Apgar score at 1 minute | 0 | 1 | 0.006 | ||
| 1‐3 | 2.41 | 1.37‐4.23 | |||
| 4‐7 | 2.42 | 1.48‐3.97 | |||
| >7 | 2.30 | 1.42‐3.74 | |||
| Birth weight (in grams) | <1500 | 1 | <.001 | ||
| 2501‐3500 | 1.32 | 1.01‐1.73 | |||
| 1501‐2500 | 1.53 | 1.18‐1.98 | |||
| >3500 | 1.62 | 1.24‐2.10 | |||
| Random effects component | Cluster level random intercept | Standard deviation estimate | SE | ||
| 0.43 | 0.12 | ||||
Likelihood ratio test testing whether the random intercept is needed: P < .001.
Prevalence ratio.
95% confidence interval of the prevalence ratio.
Wald test P‐value from random effects Poisson model.
Standard errors of the estimate of the standard deviation of the random intercept.
Association between the prevalence of need for suture and parity
| Total Number of Patients | Prevalence of Need for Suture | Prevalence Ratio (95% CI) |
| ||
|---|---|---|---|---|---|
| Total | 118 63 | 9400 (79.2) | |||
| Mother characteristics | |||||
| Parity | 1 | 5470 | 5139 (94.0) | 1 | <.001 |
| 2 | 3704 | 3094 (83.5) | 0.89 (0.85‐0.93) | ||
| 3 | 1265 | 714 (56.4) | 0.60 (0.56‐0.65) | ||
| >3 | 1424 | 453 (31.8) | 0.34 (0.31‐0.38) | ||
n is the number of patients with episiotomy, and % is the prevalence of episiotomy.
95% confidence interval.
Wald test P‐value from random effects Poisson model.
Association between the prevalence of episiotomy and maternity level
| Total Number of Patients | Prevalence of Episiotomy | Prevalence Ratio (95% CI) |
| ||
|---|---|---|---|---|---|
| Total | 11 863 | 8475 (71.4) | |||
| Maternity level | Low | 2789 | 1652 (59.2) | 1 | 0.11 |
| Medium | 4154 | 3131 (75.4) | 1.22 (1.00‐1.50) | ||
| Academic | 4920 | 3692 (75.0) | 1.16 (0.97‐1.39) |
n is the number of patients with episiotomy, and % is the prevalence of episiotomy.
95% confidence interval of the prevalence ratio. The prevalence ratio is adjusted for birth weight.
Wald test P‐value from random effects Poisson model.