Volume 31, Issue 2 (7-2022)
JGUMS 2022, 31(2): 150-165 |
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Reza Soltani Moghadam1 
, Ebrahim Azaripour * 2, Mitra Akbari3 , Hassan Behboudi3 , Homafar Mohammad Amin3
, Ebrahim Azaripour * 2, Mitra Akbari3 , Hassan Behboudi3 , Homafar Mohammad Amin3
1- Department of Eye, Eye Research Center, Amiralmomen in Hospital, Faculty of Medicine, Guilan University of Medical Science, Rasht, Iran.
2- Department of Eye, Eye Research Center, Amiralmomenin Hospital, Faculty of Medicine, Guilan University of Medical Science, Rasht, Iran. ,eazaripour@yahoo.com
3- Department of Eye, Eye Research Center, Amiralmomenin Hospital, Faculty of Medicine, Guilan University of Medical Science, Rasht, Iran.
2- Department of Eye, Eye Research Center, Amiralmomenin Hospital, Faculty of Medicine, Guilan University of Medical Science, Rasht, Iran. ,
3- Department of Eye, Eye Research Center, Amiralmomenin Hospital, Faculty of Medicine, Guilan University of Medical Science, Rasht, Iran.
Abstract: (867 Views)
Background Keratoconus (KCN) is a bilateral, progressive, and non-inflammatory disorder in the cornea, which results in thinning and protrusion of the cornea.
Objective This study aims to determine the effectiveness of using pachymetric progression indices (PPIs) in grading the severity of KCN disease.
Methods In this study, 76 patients with different stages of KCN were enrolled. The severity of KCN was graded according to maximum keratometry, cornea thickness, and spherical equivalent. The PPIs measured by Pentacam and the demographic characteristics were recorded and their correlation with the severity of KCN was assessed.
Results In terms of KCN severity, 18% of patients were at grade 1, 31% at grade 2, 42% at grade 3, and 7% at grade 4. The power of PPIs in predicting KCN grade 4, grade 3 and grade 2 based on the area under the curve ranged from 0.722 to 0.993.
Conclusion The PPIs (Minimum, Maximum, Average) can predict the severity of KCN disease with good sensitivity and specificity.
Objective This study aims to determine the effectiveness of using pachymetric progression indices (PPIs) in grading the severity of KCN disease.
Methods In this study, 76 patients with different stages of KCN were enrolled. The severity of KCN was graded according to maximum keratometry, cornea thickness, and spherical equivalent. The PPIs measured by Pentacam and the demographic characteristics were recorded and their correlation with the severity of KCN was assessed.
Results In terms of KCN severity, 18% of patients were at grade 1, 31% at grade 2, 42% at grade 3, and 7% at grade 4. The power of PPIs in predicting KCN grade 4, grade 3 and grade 2 based on the area under the curve ranged from 0.722 to 0.993.
Conclusion The PPIs (Minimum, Maximum, Average) can predict the severity of KCN disease with good sensitivity and specificity.
Review Paper: Applicable |
Subject:
Special
Received: 2021/12/20 | Accepted: 2022/06/11 | Published: 2022/07/1
Received: 2021/12/20 | Accepted: 2022/06/11 | Published: 2022/07/1
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