Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25837970
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25837970
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 JAMA+Ophthalmol
2015 ; 133
(6
): 683-9
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Prediction of Juvenile-Onset Myopia
#MMPMID25837970
Zadnik K
; Sinnott LT
; Cotter SA
; Jones-Jordan LA
; Kleinstein RN
; Manny RE
; Twelker JD
; Mutti DO
JAMA Ophthalmol
2015[Jun]; 133
(6
): 683-9
PMID25837970
show ga
IMPORTANCE: Myopia (nearsightedness) has its onset in childhood and affects about
one-third of adults in the United States. Along with its high prevalence, myopia
is expensive to correct and is associated with ocular diseases that include
glaucoma and retinal detachment. OBJECTIVE: To determine the best set of
predictors for myopia onset in school-aged children. DESIGN, SETTING, AND
PARTICIPANTS: The Collaborative Longitudinal Evaluation of Ethnicity and
Refractive Error (CLEERE) Study was an observational cohort study of ocular
development and myopia onset conducted at 5 clinical sites from September 1,
1989, through May 22, 2010. Data were collected from 4512 ethnically diverse,
nonmyopic school-aged children from grades 1 through 8 (baseline grades 1 through
6) (ages 6 through 13 years [baseline, 6 through 11 years]). MAIN OUTCOMES AND
MEASURES: We evaluated 13 candidate risk factors for their ability to predict the
onset of myopia. Myopia onset was defined as -0.75 diopters or more of myopia in
each principal meridian in the right eye as measured by cycloplegic
autorefraction at any visit after baseline until grade 8 (age 13 years). We
evaluated risk factors using odds ratios from discrete time survival analysis,
the area under the curve, and cross validation. RESULTS: A total of 414 children
became myopic from grades 2 through 8 (ages 7 through 13 years). Of the 13
factors evaluated, 10 were associated with the risk for myopia onset (P?.05).
Of these 10 factors, 8 retained their association in multivariate models:
spherical equivalent refractive error at baseline, parental myopia, axial length,
corneal power, crystalline lens power, ratio of accommodative convergence to
accommodation (AC/A ratio), horizontal/vertical astigmatism magnitude, and visual
activity. A less hyperopic/more myopic baseline refractive error was consistently
associated with risk of myopia onset in multivariate models (odds ratios from
0.02 to 0.13, P?.001), while near work, time outdoors, and having myopic
parents were not. Spherical equivalent refractive error was the single best
predictive factor that performed as well as all 8 factors together, with an area
under the curve (C statistic) ranging from 0.87 to 0.93 (95% CI, 0.79-0.99).
CONCLUSIONS AND RELEVANCE: Future myopia can be predicted in a nonmyopic child
using a simple, single measure of refractive error. Future trials for prevention
of myopia should target the child with low hyperopia as the child at risk.