Real-world data analysis of cranial nerve III, IV, and VI palsies: demographics, association factors, and comparative all-cause mortality - Report - MDSpire

Real-world data analysis of cranial nerve III, IV, and VI palsies: demographics, association factors, and comparative all-cause mortality

  • By

  • Chia-An Hsu

  • Min-Huei Hsu

  • Septi Melisa

  • Ju-Chuan Yen

  • June 8, 2026

  • 0 min

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Clinical Report: Analysis of Real-World Data on Cranial Nerve Palsies

Overview

This study investigates demographic characteristics, contributing factors, and mortality rates associated with cranial nerve III, IV, and VI palsies using a large real-world dataset.

Background

Cranial nerve palsies can lead to significant clinical symptoms, including diplopia, which necessitates urgent evaluation to rule out serious underlying conditions.

Data Highlights

Palsy TypeMean Age (± SD)
CN III63.5 ± 20.6
CN IV57.6 ± 25.1
CN VI60 ± 24
Non-palsy cohort46 ± 25

Key Findings

  • The mean age of patients with CN III palsy was 63.5 years, while CN IV and CN VI palsy patients had mean ages of 57.6 and 60 years, respectively.
  • Diabetes mellitus and hypertension were identified as significant comorbidities associated with cranial nerve palsies.
  • Central nervous system neoplasms accounted for approximately 23% of cases in pediatric populations.
  • Trochlear nerve palsy is often congenital, whereas oculomotor nerve palsy is frequently linked to posterior communicating artery aneurysms.
  • All-cause mortality was assessed using Cox proportional hazards models and Kaplan–Meier survival analysis.

Clinical Implications

Clinicians should be aware of the common comorbidities associated with cranial nerve palsies, particularly in older patients. Prompt evaluation and management of underlying conditions such as diabetes and hypertension are essential to mitigate risks.

Conclusion

This analysis provides valuable demographic and clinical insights into cranial nerve palsies, emphasizing the importance of recognizing associated risk factors for effective management.

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