Antenatal risk prediction of shoulder dystocia: influence of diabetes and obesity: a multicenter study

Vetterlein, J; Doehmen, Cornelius A E; Voss, H.; Dittkrist, L; Klapp, C; Henrich, Wolfgang; Ramsauer, B.; Schlembach, Dietmar; Abou-Dakn, Michael; Maresh, Michael; Schaefer-Graf, Ute M.

doi:10.1007/s00404-021-06041-7

Cited by 12 publications

(10 citation statements)

References 32 publications

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“…Diabetes and macrosomia are well-known historic risk factors for SD, and their significance was corroborated in the data presented herein. [5][6][7][8] Our study validates prior literature that also demonstrates an increasing risk of SD with increasing birthweight, even in the absence of pregestational and gestational diabetes. 5 Both pregestational and gestational diabetes were associated with increased rates of SD; however, the effect of pregestational diabetes was more significant.…”

Section: Discussionsupporting

confidence: 88%

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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: 88%

“…Diabetes and macrosomia are well‐known historic risk factors for SD, and their significance was corroborated in the data presented herein 5–8 . Our study validates prior literature that also demonstrates an increasing risk of SD with increasing birthweight, even in the absence of pregestational and gestational diabetes 5 .…”

Section: Discussionsupporting

confidence: 88%

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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“…Foetal structural abnormalities that may lead to adverse pregnancy outcomes were excluded, and patients with pregnancy complications were also excluded, as all of these factors may affect the growth rate and development of the foetus, and affect the derivation and establishment of this formula. For example, the inclusion of gestational diabetes may increase the incidence of premature foetuses and macrosomia [29],…”

Section: Discussionmentioning

confidence: 99%

Establishment of a New Equation for Ultrasonographic Estimated Foetal Weight in Chongqing: a Prospective Study

Sun

Dong

et al. 2022

Preprint

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Background: Variations in foetal growth between populations should not be ignored, and a single universal standard is not appropriate for everyone. Therefore, it is necessary to develop a new ultrasound estimation equation that adapts better to regional population characteristics. The purpose of this study was to create a new equation for ultrasound estimation of foetal weight according to the local population in Chongqing and compare it with representative equations. Methods: This prospective study included data on pregnant women who gave birth to a child at full term in our hospital from December 2016 to November 2019. Foetal ultrasound parameters included biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur diaphysis length (FDL). The foetal weight compensation model was established by using the second-order linear regression model, and then, the foetal weight equation was established by utilizing the multiple reverse elimination regression technique. Last, the absolute error and relative error were used to compare the accuracy of the equations established in this study with representative equations. Results: Through the foetal weight compensation equation, the new equation suitable for Chongqing foetuses was successfully established with the variables of BPD, HC, AC, and FDL. The following foetal weight prediction equation was established in this study: Log 10 (EFW)=3.002741+0.00005944*(BPD^2)+0.00000222*(HC^2)-0.000002078*(AC^2)+0.00004262*(FDL^2)-0.008753*BPD-0.000884*HC+0.003206*AC-0.002894*FDL (BPD: mm; HC: mm; AC: mm; FDL: mm). In the sets established by the 1925 data, the mean absolute error and standard deviation of the estimation error of the new equation were 178.9 g and 140.3 g respectively. In the validation sets established with 300 data points, the mean absolute error and standard deviation of the new equation were 173.08 g and 128.59 g respectively. Compared with representative equations, the mean absolute error and the standard deviation of the new equation were the lowest. The equation established in this study better predicted foetal weight(P<.001). Conclusions: According to the local population characteristics of Chongqing, this study created a foetal weight estimation equation that is more accurate and suitable. This equation is clinically valuable for the monitoring and management of foetal weight.

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“…Adipositas ist in einigen Studien mit einer erhöhten Rate an Schulterdystokien verbunden [26,27,28]. Ob die Adipositas einen unabhängigen Risikofaktor hierfür darstellt, wird kontrovers diskutiert.…”

Section: Risiko Schulterdystokieunclassified

Adipositas und Schwangerschaft – Herausforderung im klinischen Alltag

Geffroy¹,

Schell²,

Juhasz-Böss³

et al. 2023

Frauenheilkunde up2date

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Antenatal risk prediction of shoulder dystocia: influence of diabetes and obesity: a multicenter study

Cited by 12 publications

References 32 publications

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

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

Establishment of a New Equation for Ultrasonographic Estimated Foetal Weight in Chongqing: a Prospective Study

Adipositas und Schwangerschaft – Herausforderung im klinischen Alltag

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