In:
PLOS Digital Health, Public Library of Science (PLoS), Vol. 2, No. 5 ( 2023-5-8), p. e0000240-
Abstract:
We previously applied archetypal analysis (AA) using visual fields (VF) from the Idiopathic Intracranial Hypertension Treatment Trial (IIHTT) to derive a model, which quantified patterns (or archetypes [ATs] of VF loss), anticipated recovery, and identified residual VF deficits. We hypothesized that AA could produce similar results using IIH VFs collected in clinical practice. We applied AA to 803 VFs from 235 eyes with IIH from an outpatient neuro-ophthalmology clinic and created a clinic-derived model of ATs, with the relative weight (RW) and average total deviation (TD) for each AT. We also created a combined-derived model from an input dataset containing the clinic VFs and 2862 VFs from the IIHTT. We used both models to decompose clinic VF into ATs of varying percent weight (PW), correlated presentation AT PW with mean deviation (MD), and evaluated final visit VFs considered “normal” by MD ≥ -2.00 dB for residual abnormal ATs. The 14-AT clinic-derived and combined-derived models revealed similar patterns of VF loss previously identified in the IIHTT model. AT1 (a normal pattern) was most prevalent in both models (RW = 51.8% for clinic-derived; 35.4% for combined-derived). Presentation AT1 PW correlated with final visit MD (r = 0.82, p 〈 0.001 for the clinic-derived model; r = 0.59, p 〈 0.001 for the combined-derived model). Both models showed ATs with similar patterns of regional VF loss. The most common patterns of VF loss in “normal” final visit VFs using each model were clinic-derived AT2 (mild global depression with enlarged blind spot; 44/125 VFs; 34%) and combined-derived AT2 (near-normal; 93/149 VFs; 62%). AA provides quantitative values for IIH-related patterns of VF loss that can be used to monitor VF changes in a clinic setting. Presentation AT1 PW is associated with the degree of VF recovery. AA identifies residual VF deficits not otherwise indicated by MD.
Type of Medium:
Online Resource
ISSN:
2767-3170
DOI:
10.1371/journal.pdig.0000240
DOI:
10.1371/journal.pdig.0000240.g001
DOI:
10.1371/journal.pdig.0000240.g002
DOI:
10.1371/journal.pdig.0000240.g003
DOI:
10.1371/journal.pdig.0000240.g004
DOI:
10.1371/journal.pdig.0000240.g005
DOI:
10.1371/journal.pdig.0000240.t001
DOI:
10.1371/journal.pdig.0000240.t002
DOI:
10.1371/journal.pdig.0000240.s001
DOI:
10.1371/journal.pdig.0000240.s002
DOI:
10.1371/journal.pdig.0000240.s003
DOI:
10.1371/journal.pdig.0000240.s004
DOI:
10.1371/journal.pdig.0000240.s005
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
3106944-7
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