Korean J Ophthalmol.  2004 Dec;18(2):100-105. 10.3341/kjo.2004.18.2.100.

Relationship between the Extent of Peripheral Anterior Synechiae and the Severity of Visual Field Defects in Primary Angle-closure Glaucoma

• Choi JS
• Kim YY

• KMID: 754374
• DOI: http://doi.org/10.3341/kjo.2004.18.2.100

Abstract

We investigated the relationship between the circumferential extent of peripheral anterior synechiae (PAS) and the severity of visual field defects in primary angle-closure glaucoma (PACG). Correlations between visual field defects and the extent of PAS were analyzed in 73 eyes; 28 with and 45 without acute attacks. Spearman's correlation coefficient between the severity of visual field defects and the extent of PAS was 0.348 (P = 0.003) in all subjects (n = 73), 0.377 (P = 0.012) in the PACG eyes without acute attacks (n = 45), and 0.338 (P = 0.079) in the eyes with acute attacks (n = 28). Our results showed a statistically significant correlation between the extent of PAS and the severity of visual field damage in PACGoverall, and especially in PACG patients without a history of acute attacks.

Keyword

peripheral anterior synechiae; primary angle-closure glaucoma; visual field

MeSH Terms

Aged
Comparative Study
Female
Glaucoma, Angle-Closure/*etiology/physiopathology
Humans
Intraocular Pressure
Iris Diseases/*complications/physiopathology
Male
Middle Aged
Perimetry
Scotoma/*etiology/physiopathology
*Visual Fields

Figure

• 

  Fig. 1 Scattergram of visual field defects on PAS for all the eyes (n = 73). Spearman's correlation coefficient is 0.348 (95% CI, 0.128~0.536; P = 0.003). The continuous line is the best-fit regression line.

• 

  Fig. 2 Scattergram of visual field defects on PAS for all the eyes (n = 73). Spearman's correlation coefficient is 0.348 (95% CI, 0.128~0.536; P = 0.003). The continuous line is the best-fit regression line.

• 

  Fig. 3 Scattergram of visual field defects on PAS for the eyes without acute attacks (n = 45). Spearman's correlation coefficient is 0.377 (95% CI, 0.094~0.604; P = 0.012). The continuous line is the best-fit regression line.

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