Discriminating value of total minor physical anomaly score on the Waldrop scale between patients with bipolar I

Stefan Sivkov1, Valentin Akabaliev, Mladen Mantarkov

  • 1Department of Anatomy, Histology and Embryology, Medical University, Plovdiv, Bulgaria.

Psychiatry Research
|July 30, 2013
PubMed

Insights

Minor physical anomalies (MPAs) can help classify bipolar I disorder. Higher MPA scores reliably distinguish patients from healthy individuals, supporting neurodevelopmental theories.

Area of Science:

  • Neurodevelopmental disorders
  • Psychiatric diagnostics

Background:

  • Minor physical anomalies (MPAs) are subtle structural variations linked to neurodevelopmental abnormalities.
  • Previous research on MPAs in bipolar disorder has produced inconclusive findings.
  • The diagnostic utility of MPAs in differentiating bipolar I disorder requires further investigation.

Purpose of the Study:

  • To evaluate the effectiveness of MPAs as a classification tool for distinguishing bipolar I patients from healthy controls.
  • To determine the sensitivity, specificity, and predictive values of total MPA (MPA-T) scores.

Main Methods:

  • A modified Waldrop scale was used to assess MPAs in 61 bipolar I patients and 103 controls.
  • Total MPA (MPA-T) scores were analyzed to identify optimal cut-off points for discrimination.
  • Statistical analysis determined sensitivity, specificity, and predictive values for various MPA-T scores.

Main Results:

  • Optimal cut-off scores of MPA-T ≥ 4 and MPA-T ≥ 5 effectively discriminated between bipolar I patients and controls.
  • Bipolar I patients showed significantly higher MPA-T scores compared to controls, particularly in outlier cases.
  • Controls typically presented with MPA-T scores ≤ 3, while scores ≥ 6 were rare.

Conclusions:

  • The total MPA (MPA-T) score serves as a reliable indicator for differentiating bipolar I disorder patients from healthy individuals.
  • Findings support the hypothesis of aberrant neurodevelopment underlying bipolar disorder.
  • MPAs show potential as a supplementary diagnostic marker in psychiatric assessments.