Construction and validation of a risk prediction model for early ventilator-induced diaphragm dysfunction in mechanically ventilated patients - Scorecard - MDSpire

Construction and validation of a risk prediction model for early ventilator-induced diaphragm dysfunction in mechanically ventilated patients

  • By

  • Min-Qing Long

  • Yu-Ting Liu

  • June 25, 2026

  • 0 min

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Clinical Scorecard: Development and assessment of a predictive model for early diaphragm dysfunction due to mechanical ventilation in ICU patients

At a Glance

CategoryDetail
ConditionVentilator-induced diaphragm dysfunction (VIDD)
Key MechanismsMechanical ventilation can induce diaphragm dysfunction within 24 hours.
Target PopulationMechanically ventilated patients in the ICU.
Care SettingIntensive care unit (ICU)

Key Highlights

  • Incidence of VIDD in the study was 48.78%.
  • Independent risk factors identified include complicated sepsis and high APACHE II scores.
  • The nomogram model demonstrated an AUC of 0.820 in the modeling group.
  • Diaphragm ultrasound is the gold standard for diagnosing VIDD.
  • The model provides a practical tool for early identification of high-risk patients.

Guideline-Based Recommendations

Diagnosis

  • VIDD diagnosed by diaphragm ultrasound indicators: TFdi < 20%, DE < 1 cm, Tdi < 0.2 cm.

Management

  • Utilize the nomogram model for early identification of patients at risk for VIDD.

Monitoring & Follow-up

  • Monitor diaphragm function using ultrasound within the first 24 hours of mechanical ventilation.

Risks

  • VIDD increases the risk of extubation failure, prolongs ICU stay, and raises mortality risk.

Patient & Prescribing Data

470 mechanically ventilated patients admitted to the ICU.

Early identification of VIDD can facilitate timely diaphragm-protective interventions.

Clinical Best Practices

  • Implement standardized ultrasound diagnostic criteria for VIDD.
  • Utilize readily available clinical baseline risk factors for prediction.

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