Creation and assessment of a predictive model for dry eye disease risk in myopic pediatric patients - Scorecard - MDSpire

Creation and assessment of a predictive model for dry eye disease risk in myopic pediatric patients

  • By

  • Bingqing Li

  • Jie Wen

  • Jie Qin

  • Ran Gao

  • Hanruo Liu

  • Fengju Zhang

  • April 28, 2026

  • 0 min

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Clinical Scorecard: Predictive Model for Dry Eye Disease Risk in Myopic Pediatric Patients

At a Glance

CategoryDetail
ConditionDry Eye Disease (DED) in myopic children
Key MechanismsTear film instability, reduced lipid layer thickness, increased partial blink rate, influenced by behavioral and environmental factors
Target PopulationMyopic schoolchildren aged 8–16 years in northern China
Care SettingOphthalmology outpatient and community screening settings

Key Highlights

  • DED prevalence among myopic children was 31.2%, with tear film instability and ocular surface abnormalities predominant.
  • Independent risk factors include orthokeratology lens use, daily screen time ≥4 hours, near work ≥4 hours, BMI ≥24, and sleep duration <6 hours.
  • A validated nomogram demonstrated acceptable predictive accuracy (AUC 0.74 training, 0.70 validation) for individualized DED risk estimation.

Guideline-Based Recommendations

Diagnosis

  • Use 2022 Chinese Expert Consensus criteria for DED diagnosis in children.
  • Perform comprehensive ocular surface evaluations including corneal fluorescein staining, tear film break-up time, Schirmer I test, lipid layer thickness, and partial blink rate.

Management

  • Address modifiable behavioral risk factors such as reducing screen time and near work duration.
  • Monitor and counsel on orthokeratology lens use due to increased DED risk.
  • Promote adequate sleep duration and healthy BMI to mitigate risk.

Monitoring & Follow-up

  • Regular ocular surface assessments in myopic children, especially those using Ortho-K lenses or with high screen exposure.
  • Use validated questionnaires like Ocular Surface Disease Index (OSDI) to assess symptom severity.

Risks

  • Orthokeratology lens wear increases DED risk nearly fivefold.
  • Excessive digital device use and prolonged near work significantly elevate risk.
  • Short sleep duration and higher BMI are additional modifiable risk factors.

Patient & Prescribing Data

Myopic children aged 8–16 years in northern China

Risk stratification using the nomogram can guide early interventions targeting lifestyle modifications and careful Ortho-K lens management to reduce DED incidence.

Clinical Best Practices

  • Incorporate comprehensive ocular surface testing in routine myopia management for children.
  • Use predictive nomograms to identify high-risk patients for targeted preventive strategies.
  • Educate patients and guardians on behavioral modifications to reduce DED risk.
  • Monitor children using orthokeratology lenses closely for early signs of ocular surface compromise.

References

Original Source(s)

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