Real world data collection and cluster analysis in patients with sciatica due to lumbar disc herniation

Area of Science:

• Orthopedics
• Pain Management
• Health Services Research

Background:

• Sciatica resulting from lumbar disc herniation presents a complex patient population.
• Understanding patient subgroups is crucial for effective secondary care management.

Purpose of the Study:

• To identify and characterize distinct patient clusters with sciatica caused by lumbar disc herniation.
• To provide insights into patient heterogeneity for improved clinical decision-making.

Main Methods:

• Hierarchical cluster analysis was performed on 163 patients who completed baseline questionnaires.
• Analysis included pain, pain awareness, catastrophizing, disability, and quality of life (QOL) metrics.
• Clusters were compared based on medication use, employment, and treatment allocation.

Main Results:

• Three clusters emerged: 'painfulness' (low pain/disability, high QOL), 'painfulness and suffering' (high pain/catastrophizing, moderate disability/QOL), and 'painfulness-suffering and disability' (severe pain/catastrophizing, low QOL, high disability).
• The most severe cluster (painfulness-suffering and disability) showed higher rates of surgery and extensive pain medication use (WHO III).
• Data suggest Visual Analog Scale (VAS) scores <6 may not indicate suffering, and <7 may not indicate disability.

Conclusions:

• This research elucidates the complex nature of sciatica patients in secondary care.
• The identified patient subgroups offer valuable insights beyond current literature on low back and leg pain.
• Findings support the potential for tailored interventions based on specific patient cluster characteristics.