| Literature DB >> 27274869 |
Diana Garretto1, Brian B Lin2, Helen L Syn2, Nancy Judge3, Karen Beckerman4, Fouad Atallah5, Arnold Friedman6, Michael Brodman7, Peter S Bernstein3.
Abstract
Objective. To determine if there is an association between BMI and 3rd- or 4th-degree perineal lacerations in normal spontaneous and operative vaginal deliveries. Study Design. We performed a retrospective case control study using a large obstetric quality improvement database over a six-year period. Cases were identified as singleton gestations with third- and fourth-degree lacerations. Controls were obtained randomly from the database of patients without third- or fourth-degree lacerations in a 1 : 1 ratio. Univariate and multivariate logistic regression analyses were performed. Results. Of 32,607 deliveries, 22,011 (67.5%) charts with BMI documented were identified. Third- or fourth-degree lacerations occurred in 2.74% (n = 605) of patients. 37% (n = 223) were identified in operative vaginal deliveries. In the univariate analysis, obesity, older maternal age, non-Asian race, and birth weight <4000 g were all protective against 3rd- and 4th-degree lacerations. After controlling for age, race, mode of vaginal delivery, and birth weight, obesity remained significant. Conclusion. Being obese may protect against third- and fourth-degree lacerations independent of parity, race, birth weight, and mode of delivery.Entities:
Mesh:
Year: 2016 PMID: 27274869 PMCID: PMC4871967 DOI: 10.1155/2016/9376592
Source DB: PubMed Journal: J Obes ISSN: 2090-0708
Demographics and clinical characteristics of the study sample (n = 1210).
| Demographic or clinical characteristic | No laceration | Laceration |
|
|---|---|---|---|
| Maternal age (y) | 28.6 ± 6.1 | 29.0 ± 6.0 | NS |
| Marital status | 0.02 | ||
| Married | 376 (62.2) | 387 (64.0) | |
| Single/never married | 215 (35.5) | 188 (31.0) | |
| Other | 14 (2.3) | 30 (5.0) | |
| Race/ethnicity | <0.0001 | ||
| Caucasian | 241 (39.8) | 228 (37.7) | |
| African American | 85 (14.1) | 66 (10.9) | |
| Hispanic | 151 (25.0) | 101 (16.7) | |
| Asian | 87 (14.4) | 145 (24.0) | |
| Other | 41 (6.7) | 65 (10.7) | |
| Smoking | NS | ||
| No | 551 (91.1) | 572 (94.6) | |
| Prior | 20 (3.3) | 11 (1.8) | |
| Current | 17 (2.8) | 11 (1.8) | |
| Unknown | 17 (2.8) | 11 (1.8) | |
| Obese (BMI ≥ 30 kg/m2) | 261 (43.0) | 211 (34.9) | 0.0032 |
| Parity | <0.0001 | ||
| Multiparity | 316 (52.2) | 140 (23.2) | |
| Nulliparity | 289 (47.8) | 465 (76.8) | |
| Oxytocin use | 293 (48.4) | 373 (61.7) | <0.0001 |
| Estimated fetal weight ≥ 4000 g | 13 (2.5) | 24 (4.4) | NS |
| Birthweight ≥ 4000 g | 32 (5.3) | 77 (12.8) | <0.0001 |
| Chronic hypertension | 40 (6.6) | 56 (9.3) | NS |
| Diabetes (all) | 45 (7.5) | 56 (9.3) | NS |
| Operative VD | 1394 (6.6) | 225 (37.2) | <0.0001 |
| Shoulder dystocia | 32 (5.3) | 82 (13.6) | <0.0001 |
| Second stage (hr) | 1.3 ± 2.3 | 1.9 ± 2.1 | <0.0001 |
BMI: body mass index.
VD: vaginal delivery.
NS = not significant.
Data are mean ± standard deviation or n (%).
OVD calculated from overall acceptable group (n = 21,825).
Multivariate logistic regression for predicting risk of laceration.
| Variable | aOR (95% CI) |
|
|---|---|---|
| Obesity (BMI ≥ 30 kg/m2) | 0.75 (0.58–0.98) | 0.037 |
| Asian race | 1.65 (1.16–2.34) | 0.002 |
| African American race | 0.67 (0.45–0.99) | 0.001 |
| Operative VD | 1.56 (1.20–2.04) | 0.001 |
| Nulliparity | 3.93 (2.98–5.19) | <0.001 |
| Birthweight < 4 kg | 0.46 (0.29–0.72) | 0.0007 |
| No prolonged second stage | 0.42 (0.27–0.66) | 0.0002 |
BMI: body mass index.
VD: vaginal delivery.
aOR: adjusted odds ratio.
CI: confidence interval.
Multivariate analysis of BMI distribution for prediction of risk of laceration.
| BMI class | No laceration | Laceration | aOR (95% CI) |
|---|---|---|---|
| Overweight (25–29.9 kg/m2) | 262 (46) | 308 (54) | 0.99 (0.68–1.44) |
| Obese (30+ kg/m2) | |||
| Class I (30–34.9 kg/m2) | 166 (52) | 155 (48) | 0.84 (0.55–1.28) |
| Class II (35–39.9 kg/m2) | 61 (60) | 40 (40) | 0.58 (0.33–1.02) |
| Class III (40+ kg/m2) | 33 (67) | 16 (33) | 0.52 (0.25–1.1) |
Data are presented as n (%)
Variables that were controlled for were race, OVD, birth weight categories, Pitocin use, and shoulder dystocia.