Re: Maternal prepregnancy obesity and the risk of shoulder dystocia: a meta‐analysis

Ewington, Lauren J.; Quenby, Siobhán

doi:10.1111/1471-0528.15017

Cited by 1 publication

(4 citation statements)

References 1 publication

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“…In this study, a variety of demographic and pregnancy complications were associated with SD. As mentioned above, maternal obesity is a weak independent risk factor for SD, with some studies supporting while others refuting its role in SD risk and prediction 7,8,12,21,22 . In our study, we found obesity to be a risk factor for SD.…”

Section: Discussionsupporting

confidence: 72%

“…The rise in SD also parallels the national rise in obesity 20 . Obesity alone is a weak risk factor for SD as shown in prior studies and the current analysis (Table 2) and may at most be a surrogate marker for fetal macrosomia 7,8,12,21,22 . That is, we know that obese patients are at increased risk of having LGA neonates and diabetes 23,24 .…”

Section: Discussionsupporting

confidence: 67%

“…As mentioned above, maternal obesity is a weak independent risk factor for SD, with some studies supporting while others refuting its role in SD risk and prediction. 7,8,12,21,22 In our study, we found obesity to be a risk factor for SD. However, the most strongly associated characteristics associated with SD were diabetes, LGA, and vacuum-assisted delivery.…”

Section: Discussionsupporting

confidence: 54%

“…20 Obesity alone is a weak risk factor for SD as shown in prior studies and the current analysis (Table 2) and may at most be a surrogate marker for fetal macrosomia. 7,8,12,21,22 That is, we know that obese patients are at increased risk of having LGA neonates and diabetes. 23,24 Thus, as obesity is projected to continue to rise, 20 an on-going concurrent rise in SD is a plausible and alarming trend.…”

Section: Discussionmentioning

confidence: 99%

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Incidence trends of shoulder dystocia and associated risk factors: A nationwide analysis in the United States

Youssefzadeh

Tavakoli

Panchal

et al. 2023

Intl J Gynecology & Obste

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Objective To examine recent incidence trends and characteristics of shoulder dystocia. Methods This is a retrospective cohort study querying the Healthcare Cost and Utilization Project's National Inpatient Sample. The study population included 9 913 838 vaginal deliveries for national estimates from January 2016 to December 2019. The main outcome measure was the diagnosis of shoulder dystocia. A binary logistic regression model was used to identify characteristics of shoulder dystocia in multivariable analysis. Results Shoulder dystocia was reported in 228 120 deliveries (23.0 per 1000). The incidence of shoulder dystocia increased from 21.0 to 24.6 per 1000 deliveries during the 4‐year study period (17.1% relative increase, P < 0.001). In a multivariable analysis, the recent year of delivery remained an independent factor for shoulder dystocia: adjusted odds ratio (aOR) compared with 2016, 1.09 (95% confidence interval [CI], 1.08–1.11), 1.13 (95% CI, 1.12–1.14), and 1.18 (95% CI, 1.16–1.19) for 2017, 2018, and 2019, respectively. Large for gestational age (aOR 4.33 [95% CI, 4.25–4.40]), diabetes mellitus (pregestational aOR, 4.78 [95% CI, 4.63–4.94], and gestational aOR, 1.69 [95% CI, 1.66–1.71]), and vacuum‐assisted delivery (aOR, 2.18 [95% CI, 2.15–2.21]) exhibited the largest risks for shoulder dystocia. Conclusion This national‐level analysis identified various risk factors for shoulder dystocia and demonstrated that shouder dystocia cases are increasing gradually in the United States.

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Section: Discussionsupporting

confidence: 72%