Can Fetal–Pelvic Disproportion Be Predicted

Ferguson, J. E.; Sistrom, Chris L.

doi:10.1097/00003081-200006000-00004

Cited by 33 publications

(12 citation statements)

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“…When women die in childbirth, the baby's head is often too large. This problem of 'cephalopelvic disproportion' is a major predictor of serious birth difficulty (Ferguson & Sistrom, 2000), and is fairly common (e.g. affecting 6.9% of nulliparous women in Zaire, such that they require emergency Csections, Liselele, Boulvain, Tshibangu, & Meuris, 2000).…”

Section: Discussionmentioning

confidence: 99%

The evolution of human intelligence and the coefficient of additive genetic variance in human brain size

2007

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Section: Discussionmentioning

confidence: 99%

The evolution of human intelligence and the coefficient of additive genetic variance in human brain size

2007

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“…Different methods are applied to decide cut-off point for maternal anthropometric measurements. Among these methods is the use of ROC curves to decide the cut-off limits [14]. Another method of deciding a cut-off limit for an anthropometric measurement to predict CPD has been to identify the 10 th percentile of the measurement for the study population [15].…”

Section: Resultsmentioning

confidence: 99%

Age, Anthropometric Measurements and Mode of Delivery among Primigravidae Women at Addis Ababa Governmental Hospitals, Ethiopia

Solomon¹,

Dirar²,

Getachew³

2018

J Women's Health Care

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Background: In developing countries, a significant number of maternal deaths are attributable to the complications of obstructed labor. Identifying women at risk for Cephalopelvic Disproportion (CPD) prepares physicians for on time treatment and enables them to minimize maternal-fetal trauma that accompanies this midwifery emergency. The study aims to identify diagnostic accuracy of maternal age and anthropometric measurements to predict CPD among Primigravidae women visiting Addis Ababa Governmental Hospital. Methods: Hospital based prospective cohort study was carried out at Governmental Hospitals in Addis Ababa. The sample size was 384 mothers. Five hospitals were selected from Addis Ababa governmental hospitals by using simple random sampling (lottery method). Data was entered into EPI data version 3.3 and analyzed using SPSS version 23 statistical package. Results: The current study shows as the most predictive variable is maternal height with Positive Predictive Value percentage of 64.9, sensitivity of 85.4% and specificity of 96.4% followed by Michaelis rhomboid transverse diameter with Positive Predictive Value of 14.8%, sensitivity of 51.3%, and specificity of 89.4%. Conclusions: Age and maternal anthropometric measurements can predict CPD to some extent. Combining some of maternal anthropometric measurements with each other enhances the predictive value to a relatively modest degree. In this study when height is combined with other anthropometric measurements it doesn't show increment in predictive value.

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“…Die vorgeburtliche Gewichtsschätzung ist auch heute noch so ungenau, dass aus dem Verdacht eines makrosomen Kindes heraus allein keine Indikation zum primären Kaiserschnitt gestellt werden kann [8,12]. Das Selbstbestimmungsrecht jeder Schwangeren gebietet jedoch, mit ihr die Alternative einer Schnittentbindung dann zu besprechen, wenn sie in Sorge um das Kind nach dieser Entbindungsalternative fragt.…”

Section: Forensische Aspekteunclassified

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Schwenzer

2001

Der Gynäkologe

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Can Fetal–Pelvic Disproportion Be Predicted

Cited by 33 publications

References 62 publications

The evolution of human intelligence and the coefficient of additive genetic variance in human brain size

The evolution of human intelligence and the coefficient of additive genetic variance in human brain size

Age, Anthropometric Measurements and Mode of Delivery among Primigravidae Women at Addis Ababa Governmental Hospitals, Ethiopia

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