An analytical cross-sectional study is designed. All newborns in the province of Guadalajara (Spain) born from March 29 to May 15, and from August 15 to December 31 of 2019 are included. Patients’ hips are evaluated by ultrasound according to Graf´s method regardless their physical examination or risk factor for hip dysplasia.
The study is approved by the hospital's Ethics and Clinical Research Committee. Data is collected on an anonymized database. Analysis is carried out in compliance with ethical principles for research on human subjects proposed in Helsinki Declaration by the World Medical Association (WMA).
Patients which the Universal Hospital of Guadalajara is their reference centre, and born in the recruitment period are included. Their legal representatives have to signature the informed consent and the study protocol has to be complained to be part of the study. Exclusion criteria are absence of acceptance and signature of informed consent, revocation of consent, study protocol failure or major musculoskeletal malformations (bone dysplasia, phocomelia, congenital defect of a limb, etc.).
Study protocol involves performing two hip ultrasounds at 4–6 and 12–16 weeks of age. Patients assessed at the first visit with less than 12 weeks and who do not attend the second ultrasound appointment are considered as missing follow-up and are excluded from the study. If the age is 12 weeks or more at the first visit, a second examination may not be performed, since at 12 weeks, hip has undergone maturation changes necessary for an accurate diagnosis. Ultrasound images that do not meet Graf standardized image criteria are also excluded from the analysis (Fig. 3).
During the first month of the study, examination of both hips is performed by three different paediatricians, and from then on, the technique is performed by two paediatricians. In addition, an external expert on Graf`s method reviews all images obtained during the first two months of the study. Later, it only reviews those in which there is no agreement among paediatricians. Each paediatrician obtains two images of each hip, then selects the one that strictly complies with Graf "standard", on which realizes measurements of the α and β angles. All images are converted to digital format, and a report is prepared on each of the visits.
All paediatricians who perform the ultrasounds take a theoretical and practical course with a total duration of 40 hours.
Ultrasound scans are performed using the "Logiq F8 6002958WX0" ultrasound system and the "L6-12-RS Linear Array Probe 727414WX5" probe, both from GE Healthcare®. To keep patients in the proper position, Graf's "Rapid Echo Ultrasound Positioning Device: SonoQuick" cradle and Gio®'s "Eco Support Arm Guide: SonoGuide" ultrasound probe arm are used.
Data collected includes demographic characteristics (sex, race, gestational age, birth weight, and skeletal malformation), pregnancy history (type of delivery, gestation unique or multiple, primiparity, maternal age, number of previous pregnancies), factors related to development and diagnosis of hip dysplasia (presentation type, family history of DDH, and age at first and second ultrasounds), hip type, and values of α and β angles.
Sample size is calculated using Excel Real Statistics add-in. Degree of diagnostic agreement according to Graf method is estimated to range between 65% (p1) and 91% (q1). To obtain an almost perfect agreement degree (0.81–0.9), a sample size of 247 observations is required, considering a study power of 80% and a confidence level of 95%.
Measures of central tendency (mean and median) and dispersion measures (standard deviation and interquartile range) are used for quantitative variables. Frequencies and percentages are used to describe qualitative variables. For univariate analysis, Chi² or Fisher test for categorical variables, and T-student for continuous variables are applied. To assess agreement degree of two categories (healthy or pathological hip), Kappa index (I. kappa) is used. Reproducibility according to pathological degree (I, IIa, IIb, IIC, C, III, and IV) is performed by weighted Kappa index. Intraclass correlation coefficient (ICC) is calculated to evaluate concordance of α and β angles, considering a mixed-effects model. In each case, standard error, confidence interval and index value categorization are established as a measure of reproducibility strength according to Landis and Koch. The following levels of agreement are considered: almost perfect when the Kappa coefficient oscillates between 0.81–1, substantial between 0.61–0.8, moderate between 0.41–0.6, reasonable 0.21–0.4, minimum 0–0.2 and null for values < 0. A value of p < 0.05 is considered to be statistically significant, all results are represented along with their 95% confidence interval (95% CI). StataIC 16 and SAS System version 9.4 are used for statistical analysis.