Add like
Add dislike
Add to saved papers

Predictive model for congenital muscular torticollis: analysis of 1021 infants with sonography.

OBJECTIVE: To construct a predictive model to foretell congenital muscular torticollis (CMT) on the basis of clinical correlates.

DESIGN: Correlation study.

SETTING: Regional hospital.

PARTICIPANTS: A consecutive series of 1021 newborn infants.

INTERVENTIONS: Not applicable.

MAIN OUTCOME MEASURE: Participants underwent portable ultrasonography to diagnose CMT. Significant clinical correlates were identified to construct a predictive model using the logistic regression model.

RESULTS: Forty of 1021 infants were diagnosed with CMT using ultrasonography, yielding an overall incidence of 3.92%. Birth body length (odds ratio [OR]=1.38; 95% confidence interval [CI], 1.49-2.38), facial asymmetry (OR=21.75; 95% CI, 6.6-71.7), plagiocephaly (OR=22.3; 95% CI, 7.01-70.95), perineal trauma during delivery (OR=4.26; 95% CI, 1.25-14.52), and primiparity (OR=6.32; 95% CI, 2.34-17.04) were significant correlates. A predictive logistic regression model with the incorporation of these 4 correlates was developed. We used cross-validation with a receiver operating characteristic curve to validate the predictive model.

CONCLUSIONS: Our study successfully developed a quantitative predictive model for estimating the risk of CMT on the basis of clinical correlates only. This model has good discriminative ability for classifying CMT and non-CMT by yielding acceptable values of false-negative and false-positive cases.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app