@entity1713 repair by vitrectomy: simplified formulae to estimate the risk of XXXX .

@entity1 @entity5442 @entity548 @entity1713 @entity177 @entity1487
AIM: Devise simplified formulae, using preoperative clinical data, to give risk estimates of (1) @entity177 and (2) @entity5442 ( @entity5442 ) following primary @entity1713 repair by vitrectomy. METHODS: 641 @entity1 were analysed as part of an RCT investigating use of @entity1487 and low-molecular-weight heparin. Treatment status had no effect on success rates and did not therefore form part of the analyses. Preoperative risk factors for surgical @entity177 and for @entity5442 within 6 months of @entity1713 surgery were identified, and a multiple variable logistic regression model developed. Further analyses were performed to devise a simple points system to produce risk estimates of @entity177 . RESULTS: Three risk factors were related to @entity177 -previous lens extraction (p=0.046), grade C @entity5442 (p=0.039) and extent of detachment (p<0.001). Three risk factors were also related to @entity177 due to @entity5442 -vitreous @entity548 (p=0.088), grade C @entity5442 (p=0.044) and extent of detachment (p<0.001). There was good agreement between risk estimates produced by the points system and those calculated directly using a multivariate regression model. The points-system model gave an area under the receiver operating characteristic curve of 0.658. The receiver operating characteristic curve for the @entity5442 model gave an area under the curve of 0.8399 suggesting greater diagnostic value. CONCLUSIONS: A simple points system may be used as a clinical guide to identify @entity1 at higher risk of @entity177 following @entity1713 repair by vitrectomy. This may help clinicians select appropriate surgical approaches and stratify cases in research and surgical training.
