New pediatric risk factors for amblyopia: strabismic versus refractive

Author:

Guimaraes Sandra12,Vieira Maria3,Queirós Tatiana1,Soares Andreia1,Costa Patrício425,Silva Eduardo67

Affiliation:

1. Department of Ophthalmology, Hospital de Braga, Braga - Portugal

2. ICVS/3Bs, PT Government Associate Laboratory, Braga/Guimarães - Portugal

3. School of Medicine, University of Minho, Braga - Portugal

4. Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga - Portugal

5. Clinical Academic Center-Braga, Braga - Portugal

6. Department of Ophthalmology, Centro Cirurgico de Coimbra, Coimbra - Portugal

7. Department of Ophthalmology, CHLN, Lisbon - Portugal

Abstract

Purpose: To assess the role of risk factors for amblyopia, such as family history and neonatal background, for the prediction of either strabismic amblyopia or refractive amblyopia. Methods: In this retrospective case-control model, the study population included all children born at the Hospital de Braga during 1997-2012 (3 to 18 years old) with ophthalmologic consultation in 2014. Data collection was performed from the clinical database and through telephone questionnaire surveys. Results: A total of 298 (50%) controls and 298 (50%) cases (120 [40.3%] strabismic amblyopia and 178 [59.7%] refractive amblyopia) were analyzed. A significantly lower birthweight was detected in patients with strabismic amblyopia (mean 2,961 g [95% confidence interval (CI) 2,827-3,096]) compared to controls (mean 3,198 g [95% CI 3,125-3,271]) (p = 0.002). Five-minute Apgar was significantly lower in patients with strabismic amblyopia (mean 9.57 [95% CI 9.37-9.77]) than in controls (mean 9.83 [95% CI 9.77-9.90]) (p = 0.004) or patients with refractive amblyopia (mean 9.79 [95% CI 9.69-9.89]) (p = 0.031). Family history of either amblyopia or strabismus was associated with amblyopia (χ2 [2, n = 562] = 12.66; p = 0.002; Cramer V = 0.150; χ2 [2, n = 561] = 11.0; p = 0.004; Cramer V = 0.140), but was significantly more associated with strabismic amblyopia (p = 0.0023 and p = 0.0032) than with refractive amblyopia (p = 0.48 and p = 0.015, respectively). Multinomial logistic regression model explained 50.8% of the variance in amblyopia development. Low 5-minute Apgar had a relevant odds ratio (OR) for either strabismic amblyopia (OR 3.44; p = 0.066) or refractive amblyopia (OR 3.30; p = 0.077). Conclusions: This division in amblyopia subtypes gives a new perspective of the risk factors for amblyopia, with family history and some obstetrician/neonatal outcomes appearing to be more relevant in strabismic amblyopia. Educating health care providers to recognize these risk factors can result in an early ophthalmologic referral.

Publisher

SAGE Publications

Subject

Ophthalmology,General Medicine

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