Dc. Minassian et al., Utility of predictive equations for estimating the prevalence and incidence of primary open angle glaucoma in the UK, BR J OPHTH, 84(10), 2000, pp. 1159-1161
Aims-To assess the Tuck-Crick and the Quigley-Vitale predictive regression
equations against fresh independent real world data for estimating the prev
alence of primary open angle glaucoma (POAG) in the UK. To apply the equati
ons to the elderly population of England and Wales, for which there is samp
le survey data on glaucoma, and demographic data.
Methods-Directly measured actual prevalence of POAG in a population sample
of 1530 people was compared with the predicted prevalence derived by applyi
ng the Tuck-Crick and the Quigley-Vitale equations to the sample data. The
two equations were applied to the demographic data of the population to pro
ject POAG prevalence and to derive 5 year cumulative incidence for the elde
rly population. These were compared with estimates derived from the local s
urvey data.
Results-The actual directly measured prevalence of POAG in the local sample
was 3.01%. The Tuck-Crick estimate was 2.74% (difference 0.27%), and the Q
uigley-Vitale was 3.50% (difference -0.49%). The three methods-projection f
rom local survey data, Tuck-Crick, and Quigley-Vitale-gave point estimates
of 2.85% (228 526 cases), 2.71% (217 375 cases), and 3.50% (280 364 cases)
respectively for the prevalence of POAG in the elderly population of Englan
d and Wales (8 008 705 people aged 65 or older). Calculation of incidence f
rom age specific prevalence gave the following results: the numbers of new
cases of POAG expected (5 year cumulative incidence) in the elderly populat
ion were 71 146 and 94 485 for methods 2 and 3 respectively.
Conclusions-The Tuck-Crick predictive equation performed well when applied
to fresh (independent) actual data from a local sample survey using a parti
cular definition for POAG, and its usefulness for estimation of prevalence
of POAG in England and Wales has been demonstrated. The work on development
of predictive equations has been very promising and further refinements co
uld be made when more fresh survey data become available.