Statistical modelling of survival for babies with XXXX .

@entity825 @entity8 @entity834 @entity254 @entity16 @entity354 @entity299
AIM OF STUDY: We examined variables associated with survival for @entity354 between 1996 and 2014. METHODS: Possible explanatory variables: birth weight, gestation, @entity299 (any or major), @entity8 (any or severe), primary @entity254 , leak, secondary oesophageal surgery, @entity825 , aortopexy, tracheostomy, gastrostomy, fundoplication, karyotype, neurological status. Variables were assessed with logistic regression and a new model assessed with Kaplan-Meier graphs. RESULTS: 104/120 (87%) babies survived. Median gestation 37weeks, 4 (3%) born before 28weeks. Mean birth weight 2.3 (SD 0.7) kg, 17 (14%) less than 1500g. Frequency (%) of explanatory variables: Major @entity299 21 (18%), any @entity299 48 (40%), @entity8 (8%), any @entity8 25 (21%), primary @entity254 105 (88%), @entity834 (13%), symptomatic @entity825 28 (23%), aortopexy 17 (14%), tracheostomy 12 (10%), @entity16 (6%), fundoplication 15 (13%), gastrostomy 30 (25%), secondary oesophageal surgery 8 (7%), abnormal karyotype 6 (5%). Multivariate analysis showed only renal (OR 0.04, 0.007 0.2) p=0.001, cardiac (OR 0.1, 0.002 0.6) p=0.01 and a primary @entity254 (OR 12.2, 1.8 81.6) p=0.01 (R2=0.48), or major cardiac (OR 0.04, 0.007 0.29) p=0.001 and severe @entity8 (OR 0.009, 0.001 0.12) p<0.001 alone were significant (R2=0.57). CONCLUSIONS: Survival is dependent on cardiac and @entity8 . Birth weight is not significant. We propose a new classification system: 1: neither severe renal nor major @entity299 , 2: either severe renal or major @entity299 , 3: severe renal and major @entity299 .
