Statistical modelling of survival for babies with oesophageal atresia

Statistical modelling of survival for babies with oesophageal atresia

    Statistical modelling of survival for babies with oesophageal atresia Matthew J. Hartley, Nicholas P.M. Smith, Bruce Jaffray PII: DOI...

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    Statistical modelling of survival for babies with oesophageal atresia Matthew J. Hartley, Nicholas P.M. Smith, Bruce Jaffray PII: DOI: Reference:

S0022-3468(15)00771-X doi: 10.1016/j.jpedsurg.2015.11.016 YJPSU 57491

To appear in:

Journal of Pediatric Surgery

Received date: Revised date: Accepted date:

29 July 2015 2 November 2015 21 November 2015

Please cite this article as: Hartley Matthew J., Smith Nicholas P.M., Jaffray Bruce, Statistical modelling of survival for babies with oesophageal atresia, Journal of Pediatric Surgery (2015), doi: 10.1016/j.jpedsurg.2015.11.016

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ACCEPTED MANUSCRIPT Statistical modelling of survival for babies with oesophageal atresia

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Matthew J Hartley Nicholas PM Smith

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Bruce Jaffray*

Department of Paediatric Surgery

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Address for correspondence:

The Great North Children’s Hospital

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Queen Victoria Road Newcastle upon Tyne NE1 4LP

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*Corresponding author

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Funding: none.

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[email protected] Tel: 01912829364

ORIGINAL ARTICLE This work was presented at the international congress of the British Association of Paediatric Surgeons, Cardiff, July 2015 KEYWORDS: oesophageal atresia; survival; associated anomalies; statistical model

ACCEPTED MANUSCRIPT Abstract Aim of study: We examined variables associated with survival for oesophageal

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atresia between 1996 and 2014.

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Methods: Possible explanatory variables: birth weight, gestation, cardiac anomalies (any or major), renal anomalies (any or severe), primary anastomosis, leak,

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secondary oesophageal surgery, tracheomalacia, aortopexy, tracheostomy, gastrostomy, fundoplication, karyotype, neurological status. Variables were

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assessed with logistic regression and a new model assessed with Kaplan-Meier graphs.

Results: 104/120 (87%) babies survived. Median gestation 37 weeks, 4 (3%) born

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before 28 weeks. Mean birth weight 2.3 (SD 0.7) kg, 17 (14%) less than 1500g. Frequency (%) of explanatory variables: Major cardiac anomaly 21 (18%), any

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cardiac anomaly 48 (40%), severe renal anomaly 10 (8%), any renal anomaly 25

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(21%), primary anastomosis 105 (88%), anastomotic leak 16 (13%), symptomatic tracheomalacia 28 (23%), aortopexy 17 (14%), tracheostomy 12 (10%), neurological

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anomaly 7 (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 anastomosis (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 renal anomalies (OR 0.009, 0.001 0.12) p <0.001 alone were significant (R2 = 0.57). Conclusions: Survival is dependent on cardiac and renal anomalies. Birth weight is not significant. We propose a new classification system: 1: neither severe renal nor major cardiac anomaly, 2: either severe renal or major cardiac anomaly, 3: severe renal and major cardiac anomaly.

ACCEPTED MANUSCRIPT Introduction The survival rate of babies born with an oesophageal atresia with an associated

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tracheo-oesophageal fistula in a recent national survey is now 97%1. Waterston,

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reporting a 50% mortality in 1962, noted three variables which were associated with death: birth weight, additional congenital anomalies and presence of significant

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pneumonia2. The classification of babies into three categories based on these

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factors allowed a calculation of prognosis and comparison of outcome between centres. Advances in surgery and neonatal care made this classification redundant 4

and it was replaced in 1994 by the Spitz classification based more simply on birth

weight and presence of major cardiac anomalies5.

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The aim of this study was to identify those variables associated with mortality in a

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contemporary population and to develop an alternative classification of babies born

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with oesophageal atresia to better stratify risk of mortality

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ACCEPTED MANUSCRIPT Methods We identified a consecutive series of babies treated for oesophageal atresia over 18 We included all cases of oesophageal atresia

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years in our tertiary centre institution.

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with a tracheal fistula, and all cases of pure atresia without fistula, but excluded H type fistulas without atresia, since we believe these cases should have no mortality.

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Case note review was performed and the outcome was classified as survival or

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death.

Variables which we thought might be associated with survival were as follows: birth weight, gestation, major cardiac anomaly (which we defined as any congenital cardiac anomaly requiring surgery, including patent ductus arteriosus), minor cardiac

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anomaly (which we defined as any cardiac anomaly), severe renal anomaly (which

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we defined as either bilateral structural renal anomalies, or unilateral structural with elevated serum creatinine within one week of birth), any renal anomaly, neurological

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anomaly, chromosomal anomaly, the occurrence of anastomotic leak, whether a primary anastomosis was performed (which we defined as the performance of an

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oesophageal anastomosis at the first procedure, secondary oesophageal surgery (which we define as any procedure other than an initial oesophago-oesophageal anastomosis usually either oesophageal replacement or resection of strictured anastomosis), the presence of symptomatic tracheomalacia, the need for aortopexy, the use of a tracheostomy, the need for fundoplication and the use of a gastrostomy. We examined the effects of birth weight both as a continuous variable and as a dichotomous variable above or below 1500g. We similarly examined gestation as a continuous and dichotomous variable, above and below 28 weeks. For each patient we calculated both the Spitz criteria and the modified Spitz criteria 6.

ACCEPTED MANUSCRIPT Data were recorded on an Access database, which we programed to calculate Spitz criteria as follows: Original Spitz criteria: 1 Birth weight >1500g and either no or

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minor cardiac anomaly, 2 Birth weight < 1500g or major cardiac anomaly, 3 birth

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weight< 1500g and cardiac anomaly major. Modified Spitz : 1 Birth weight >1500 and cardiac anomaly either absent or minor, 2.1 Birth weight < 1500g and cardiac

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weight < 1500g and cardiac anomaly major.

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anomaly absent or minor, 2.2 birth weight >1500g and cardiac anomaly major, 3 birth

Statistical Analysis

We constructed a statistical model using logistic regression analysis of the listed variables. Covariates with a Wald’s p value ≤ 0.05 on univariate analysis were

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entered into multivariate analysis using a forced entry blockwise design. Variables

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which have previously been shown to be of prognostic significance (Major cardiac anomalies and birth weight) were entered as the first block. Because of the

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collinearity between cardiac anomaly and major cardiac anomaly, and between renal anomaly and severe renal anomaly, the multivariate analysis was performed twice,

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using renal and cardiac anomalies, then severe renal and major cardiac. The two models so produced were compared using Nagelkerke’s R2 using this to decide on the best fit. Variables which were significant on multivariate analysis were then used to construct a final model. The model was assessed for outliers and observations with unusual influence by examination of standardised residuals and calculation of Cooks distance. Collinearity was assessed by calculation of tolerance and variance inflation factor.

ACCEPTED MANUSCRIPT We then constructed further models using the Spitz and modified Spitz criteria, comparing them to the new model again using Nagelkerke’s R2.

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Finally we constructed Kaplan Meier survival graphs using the Spitz, modified Spitz

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and the new model, comparing survival with the log rank test.

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Significance was set at 5%. Statistical analysis used IBM SSPS statistical software, version 21.Categorical data are presented as frequencies (%), continuous data are

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presented as either median (range) or mean (SD).

ACCEPTED MANUSCRIPT Results 120 babies with OA born between 1996 and 2014 were studied. Median gestation

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was 37 weeks (range 25-42), with 4 (3%) born before 28 weeks. Mean birth weight

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was 2.3 (0.7) kg, and 17 (14%) were less than 1500g. 16 babies died (Table 1) and

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survival was 87%.

The frequency (%) of explanatory variables is as follows: Major cardiac anomaly 21

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(17%), any cardiac anomaly 48 (40%), severe renal anomaly 10 (8%), any renal anomaly 25 (21%), primary anastomosis 105 (88%), anastomotic leak 16 (13%), symptomatic tracheomalacia 28 (23%), aortopexy 17 (14%), tracheostomy 12 (10%), neurological anomaly 7 (6%), fundoplication 15 (13%), gastrostomy 30 (25%),

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secondary oesophageal surgery 8 (7%), abnormal karyotype 6 (5%).

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The results of univariate analysis are shown in table 2. On univariate analysis the following variables were significantly related to survival: any cardiac anomaly, major

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cardiac anomaly, any renal anomaly, severe renal anomaly, performance of a

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primary anastomosis, presence of a gastrotomy. Birth weight as a categorical variable of greater or less than 1500g was not significantly associated with survival, but birth weight as a continuous variable was. Multivariate analysis showed that only renal and cardiac and a primary anastomosis (Table 3), or major cardiac and severe renal anomalies alone (Table 4), were significantly associated with probability of survival. Birth weight ceased to be significant. Nagelkerke’s R2 for the model using any cardiac, any renal anomaly and a primary anastomosis was 0.48, while the R2 for the model using severe renal and major cardiac was 0.57, suggesting a better model. The final model using only major cardiac anomaly and severe renal anomaly as covariates is described in table 5.

ACCEPTED MANUSCRIPT The probability of survival for a baby born with oesophageal atresia = 4.01 – 3.26 (presence of major cardiac anomaly) – 4.6 (presence of severe renal anomaly).

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There was no evidence of collinearity of the covariates.

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Using these variables, we constructed a new scoring system thus: grade 1, no major cardiac or severe renal anomaly, grade 2, presence of either major cardiac or severe

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renal, grade 3 presence of major cardiac and severe renal anomaly. We term this the

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Newcastle classification.

Univariate analysis comparing the Spitz criteria, the modified Spitz criteria and the Newcastle criteria are presented in table 6. Kaplan Meir survival graphs for the Spitz classification and the Newcastle classification are figures 1 and 2. The log rank

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statistic for the Spitz criteria are C2 = 20.7 p <0.001, and the Newcastle criteria are C2

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= 65.3 p <0.001.

ACCEPTED MANUSCRIPT Discussion The survival for babies born with oesophageal atresia in the current series was 87%.

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Attempts to improve this statistic should be directed to those variables which

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influence survival. We have shown that the subdivision of birth weight by a value of 1500g, one of the variables used to categorise babies using the Spitz classification,

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is no longer a significant factor in determining survival. In contrast, renal anomalies,

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particularly severe renal anomalies have a profound effect on the likelihood of a baby surviving.

The loss of influence of birth weight on survival is unsurprising. Advances in neonatal care have brought survivability down to 24 weeks gestation, and babies born

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prematurely with birth weights below 1kg are now routinely operated on for such

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conditions as necrotising enterocolitis with expectation of survival7. A number of other studies of mortality in oesophageal atresia have shown no influence of birth

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weight 4, 8-10.

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Unlike low birth weight, renal compromise in the new born remains a complex therapeutic dilemma, and even with aggressive and novel dialysis techniques, mortality is appreciable11, 12. The particularly poor prognosis of end stage renal failure in early life when additional anomalies are present has been documented, although oesophageal atresia did not feature as a notable co-morbidity in a national survey13. The relative risk for congenital heart disease among babies with oesophageal atresia compared to the general population is 2314. All published evidence is in agreement that severe congenital heart disease is invariably associated with increased mortality in this population.

ACCEPTED MANUSCRIPT Our findings may not be generalizable. In recent studies of survival using health insurance coding data from multiple centres, birth weight was still found to be

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strongly associated with outcome15-17. This may reflect variability in the outcome of

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small babies within differing units with differing levels of expertise. Alternatively, the health insurance coding did not detect variables such as the achievement of a

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primary anastomosis or occurrence of a leak, and this may affect the regression

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model derived by these authors.

For a prognostic scoring system to have utility it must clearly distinguish patients at different risks and the degrees of difference must be of a magnitude to be clinically important. Empirically, we suggest that a difference in survival rate would be at least

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20% to be clinically meaningful in discussions with parents. It must also have relatively few categories, which select meaningful numbers of patients. Ideally it

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should be simple with unambiguous criteria and easily memorised. Lastly, it must be

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generalizable; a scoring system which produces a perfect model, but only in one hospital is of little use.

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A review of published outcomes where scores have been presented in the last 2 decades shows existing scoring systems to be inadequate (Table 7). Either failing to correctly predict progressively poorer outcome using Waterston

10, 18-22

, Spitz 23-25 or

Bremen 21, 22, or producing categories with less than 20% difference in survival rates between them 9, 15, 18-21, 24-29. We find the Montreal classification difficult to apply18. Our proposed classification consists of three groups: 1, neither severe renal nor major cardiac anomaly. 2, either severe renal or major cardiac anomaly. 3, both severe renal and major cardiac anomaly. In our population this produced mortality rates of 2%, 43% and 100%. We suggest this classification has the merits of

ACCEPTED MANUSCRIPT simplicity, unambiguous criteria and near perfect splitting of survival probabilities. Whether our classification is generalizable will require it to be tested in other

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populations.

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In conclusion, we have found that survival of babies born with oesophageal atresia can be best described using a model with major cardiac anomalies and severe renal

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anomalies as covariates. Improvements in survival will be dependent on advances in

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renal replacement in the new born and better survival of congenital cardiac

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anomalies.

ACCEPTED MANUSCRIPT References 1. Burge DM, Shah K, Spark P, Shenker N, Pierce M, Kurinczuk JJ, et al.

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Contemporary management and outcomes for infants born with oesophageal atresia.

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Br J Surg. 2013;100:515-21.

2. Waterston DJ, Carter RE, Aberdeen E. Oesophageal atresia: tracheo-

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oesophageal fistula. A study of survival in 218 infants. Lancet. 1962;1:819-22. 3. Beasley SW, Myers NA. Trends in Mortality in Esophageal Atresia. Pediatr Surg

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Int. 1992;7:86-9.

4. Engum SA, Grosfeld JL, West KW, Rescorla FJ, Scherer LRT. Analysis of morbidity and mortality in 227 cases of esophageal atresia and/or

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tracheoesophageal fistula over 2 decades. Arch Surg. 1995;130:502-8. 5. Spitz L, Kiely EM, Morecroft JA, Drake DP. Oesophageal atresia: at-risk groups

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for the 1990s. J Pediatr Surg. 1994;29:723-5. 6. Malakounides G, Lyon PC, De Agustin JC, Cross K, Drake D, Pierro A, et al.

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Oesophageal atresia: Improved outcomes in high risk groups? -revisited. British

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Association of Paediatric Surgeons International Congress. Bournmouth2013. 7. Lemons JA, Bauer CR, Oh W, Korones SB, Papile LA, Stoll BJ, et al. Very low birth weight outcomes of the National Institute of Child Health and Human Development Neonatal Research Network, January 1995 through December 1996. Pediatrics. 2001;107:art. no.-e1. 8. Calisti A, Oriolo L, Nanni L, Molle P, Briganti V, D'Urzo C. Mortality and long term morbidity in esophageal atresia: the reduced impact of low birth weight and maturity on surgical outcome. J Perinat Med. 2004;32:171-5.

ACCEPTED MANUSCRIPT 9. Choudhury SR, Ashcraft KW, Sharp RJ, Murphy JP, Snyder CL, Sigalet DL. Survival of patients with esophageal atresia: Influence of birth weight, cardiac

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anomaly, and late respiratory complications. J Pediatr Surg. 1999;34:70-3.

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10. Deurloo JA, Ekkelkamp S, Schoorl M, Heij HA, Aronson DC. Esophageal atresia: Historical evolution of management and results in 371 patients. Ann Thorac Surg.

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2002;73:267-72.

11. Everdell NL, Coulthard MG, Crosier J, Keir MJ. A machine for haemodialysing

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very small infants. Pediatr Nephrol. 2005;20:636-43.

12. Coulthard MG, Crosier J, Griffiths C, Smith J, Drinnan M, Whitaker M, et al. Haemodialysing babies weighing < 8 kg with the Newcastle infant dialysis and

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ultrafiltration system (Nidus): comparison with peritoneal and conventional haemodialysis. Pediatr Nephrol. 2014;29:1873-81.

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13. Coulthard MG, Crosier J, British Assoc Paediat N. Outcome of reaching end stage renal failure in children under 2 years of age. Arch Dis Child. 2002;87:511-7.

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14. Leonard H, Barrett AM, Scott JES, Wren C. The influence of congenital heart

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disease on survival of infants with oesophageal atresia. Arch Dis Child. 2001;85:F204-F6.

15. Turner B, Dasgupta R, Brindle ME. A contemporary prediction rule for esophageal atresia (EA) and tracheo-esophageal fistula (TEF). J Pediatr Surg. 2014;49:1758-61. 16. Wang B, Tashiro J, Allan BJ, Sola JE, Parikh PP, Hogan AR, et al. A nationwide analysis of clinical outcomes among newborns with esophageal atresia and tracheoesophageal fistulas in the United States. J Surg Res. 2014;190:604-12.

ACCEPTED MANUSCRIPT 17. Sulkowski JP, Cooper JN, Lopez JJ, Jailcherla Y, Cuenot A, Mattei P, et al. Morbidity and mortality in patients with esophageal atresia. Surgery. 2014;156:483-

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91.

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18. Poenaru D, Laberge JM, Neilson IR, Guttman FM. A new prognostic classification for esophageal atresia. Surgery. 1993;113:426-32.

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19. Okada A, Usui N, Inoue M, Kawahara H, Kubota A, Imura K, et al. Esophageal atresia in Osaka: A review of 39 years' experience. J Pediatr Surg. 1997;32:1570-4.

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20. Dunn JCY, Fonkalsrud EW, Atkinson JB. Simplifying the Waterston's stratification of infants with tracheoesophageal fistula. Am Surg. 1999;65:908-10. 21. Yagyu M, Gitter H, Richter B, Booss D. Esophageal atresia in Bremen, Germany

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- Evaluation of preoperative risk classification in esophageal atresia. J Pediatr Surg. 2000;35:584-7.

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22. Konkin DE, O'Hali WA, Webber EM, Blair GK. Outcomes in esophageal atresia and tracheoesophageal fistula. J Pediatr Surg. 2003;38:1726-9.

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23. Driver CP, Shankar KR, Jones MO, Lamont GA, Turnock RR, Lloyd DA, et al.

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Phenotypic presentation and outcome of esophageal atresia in the era of the Spitz classification. J Pediatr Surg. 2001;36:1419-21. 24. Lilja HE, Wester T. Outcome in neonates with esophageal atresia treated over the last 20 years. Pediatr Surg Int. 2008;24:531-6. 25. Koivusalo AI, Pakarinen MP, Rintala RJ. Modern outcomes of oesophageal atresia: Single centre experience over the last twenty years. J Pediatr Surg. 2013;48:297-303. 26. Teich S, Barton DP, GinnPease ME, King DR. Prognostic classification for esophageal atresia and tracheoesophageal fistula: Waterston versus Montreal. J Pediatr Surg. 1997;32:1075-9.

ACCEPTED MANUSCRIPT 27. Lopez PJ, Keys C, Pierro A, Drake DP, Kiely EM, Curry JI, et al. Oesophageal atresia: improved outcome in high-risk groups? J Pediatr Surg. 2006;41:331-4.

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28. Okamoto T, Takamizawa S, Arai H, Bitoh Y, Nakao M, Yokoi A, et al.

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Esophageal atresia: Prognostic classification revisited. Surgery. 2009;145:675-81. 29. Niramis R, Tangkhabuanbut P, Anuntkosol M, Buranakitjaroen V, Tongsin A,

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Mahatharadol V. Clinical Outcomes of Esophageal Atresia: Comparison Between the Waterston and the Spitz Classifications. Annals Academy of Medicine Singapore.

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2013;42:297-300.

30. Turner B, Dasgupta R, Brindle ME. A contemporary prediction rule for esophageal atresia (EA) and tracheo-esophageal fistula (TEF). J Pediatr Surg.

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2014;49:1758-61.

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Figure 1

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Figure 2

ACCEPTED MANUSCRIPT Table 1 of anomalies in babies who died.

Renal

Cardiac anomaly

1

Cause of death

anomaly

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number

Other anomalies

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Child

Tracheomalacia

Severe

Pulmonary

with intrarenal

neurological

hypertension

reflux

impairment.

VSD

Down’s syndrome,

Nil

ASD. Small right ventricle. Dextrocardia. Abnormal drainage of

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PDA ligated

5

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4

PDA. VSD

AVSD. PDA.

Multiple vertebral

and rib anomalies

Bilateral renal

Cloaca.

dysplasia

Hypothyroid. Long

Not known

gap atresia with

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3

Imperforate anus.

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SVC to left atrium

Single kidney

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2

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duodenal atresia

oesophagostomy Nil

ATN

Necrotising

Klebsiella

enterocolitis

septicaemia

Gastric perforation

Sepsis

Hypoplastic aortic arch 6

Nil

Right

Pulmonary

hydronephrotic

hypoplasia

kidney drained in utero at 25

ACCEPTED MANUSCRIPT weeks. Left multi-cystic dysplastic

Vesico-

double outlet right

ureteric reflux

8

Tetralogy of Fallot

Nil

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Nil

Renal failure

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10

cardiac surgery Long gap atresia

Pulmonary

with

hypoplasia

oesophagostomy Long gap atresia.

Renal failure

Fistula ligated only. Severe

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Tracheomalacia

Died during

Nil

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9

Hypoplastic left heart

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ventricle, pulmonary stenosis

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Tetralogy of Fallot,

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7

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kidney

hydrocephalus. Ascites

Severe pulmonary

Bilateral renal

Pulmonary

trunk hypoplasia. VSD.

dysplasia

hypoplasia. Imperforate anus. Limb anomalies. Vertebral anomalies

Care withdrawn

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Single

Imperforate anus.

dysplastic

Cleft palate.

kidney

Structurally

Nil

Care withdrawn

VSD

Nil

Diffuse lymphatic

Uncontrollable

leak

lymphatic

14

Tetralogy of Fallot

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13

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abnormal brain.

Nil

losses

Limb and vertebral

Post mortem

anomalies. Failed

inconclusive.

initial anastomosis Delayed primary anastomosis

PDA. Coarctation.

Absent right,

Trisomy 20

Right ventricular

hydronephrotic

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dysplasia

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16

Bilateral renal

Nil

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15

hypertrophy. Aortic

Renal failure

Care withdrawn

left kidney

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stenosis.

PDA: patent ductus arteriosus, VSD: ventricular septal defect, SVC: superior vena cava AVSD: atrioventricular septal defect,

ACCEPTED MANUSCRIPT Table 2. Univariate analysis of possible influential variables on survival of babies with oesophageal atresia

No cardiac anomaly

68/72 (94.5%)

Major cardiac anomaly

11/21 (52.4%)

No major cardiac anomaly

93/99 (93.9%)

Birth weight >1500g

91/103 (87%)

Birth weight< 1500g

13/17 (76.5%)

Birth weight as a continuous variable

0.17 (0.053 0.587)

0.071 (0.022 0.233)

0.005

<0.001

0.429 (0.12 1.52)

0.19

0.33 (0.14 0.77)

0.010

0.1 (0.032 0.32)

<0.001

0.02 ( 0.004 0.1)

<0.001

9.3 (2.74 31.7)

<0.001

1 (0.1 9.4)

0.9

0.9 (0.26 3.0)

0.86

0.67 (0.17 2.66)

0.57

0.41 (0.09 1.71)

0.22

2.33 (0.28 19.07)

0.42

15/25 (60%)

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Any renal anomaly

p value*

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36/48 (75%)

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Any cardiac anomaly

Odds ratio (95% CI)

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Survival

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Variable

No renal anomaly

89/95 (94%) 2/10 (20%)

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Severe renal anomaly

Primary anastomosis

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No primary anastomosis

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No severe renal anomaly

102/110 (93%) 96/105 (91%) 8/15 (53%)

Secondary oesophageal surgery

15/16 (94%)

No secondary oesophageal surgery

97/104 (94%)

Symptomatic tracheomalacia

24/28 (86%)

No symptomatic tracheomalacia

80/92 (87%)

Aortopexy

14/17 (82%)

No aortopexy

90/103 (87%)

Tracheostomy

9/12 (75%)

No tracheostomy

95/108 (88%)

Fundoplication

14/15 (93%)

No fundoplication

90/105 (86%)

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Abnormal karyotype

4/6 (67%)

Normal karyotype

100/114 (88%)

Abnormal neurology

5/7 (71%)

Normal neurology

99/113 (88%)

Anastomotic leak

15/16 (94%)

No anastomotic leak

89/104 (86%)

Gestation <=28 weeks

2/4 (50%)

Gestation > 28 weeks

102/116 (88%)

Gestation as a continuous variable

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* Wald p value

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0.26 (0.09 0.79)

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82/90 (91%)

0.28 (0.05 1.65)

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No gastrostomy

0.35 (0.06 2)

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22/30 (73%)

2.5 (0.3 20.5)

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Gastrostomy

0.018

0.16

0.24

0.3

0.13 (0.01 1.05)

0.05

0.8 (0.7 0.9)

0.005

ACCEPTED MANUSCRIPT Table 3. Multivariate blockwise entry analysis of variables related to survival, using

Odds ratio (95% ci)

Any cardiac anomaly

0.1 (0.017 0.6)

0.01

Any renal anomaly

0.04 (0.007 0.2)

0.001

Birth weight as a continuous variable

0.46 (0.6 3.4)

0.4

0.54 (0.09 3.0)

0.4

0.9 (0.6 1.3)

0.7

12.2 (1.8 81.6)

0.01

Gastrostomy

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Gestation as a continuous variable

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Primary anastomosis

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Variable

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any cardiac anomaly and any renal anomaly as variables.

p value

ACCEPTED MANUSCRIPT Table 4. Multivariate blockwise entry analysis of variables related to survival, using major cardiac anomaly and severe renal anomaly as variables.

Odds ratio (95% ci)

Major cardiac anomaly

0.044 (0.007 0.29)

Severe renal anomaly

0.009 (0.001 0.12)

<0.001

Birth weight as continuous variable

1.7 (0.2 14.2)

0.6

0.39 (0.05 2.9)

0.36

0.7 (0.47 1.1)

0.1

4.8 (0.5 44)

0.16

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Gestation as a continuous variable

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Gastrostomy

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Primary anastomosis

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Variable

p value

0.001

ACCEPTED MANUSCRIPT Table 5. Final statistical model of survival for oesophageal atresia

Odds ratio (95% ci)

Constant

4.01 (1.18)

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B (SE)

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Variable

Major cardiac

0.038 (0.007 0.2)

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-3.26 (0.86) * anomaly

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Severe renal

-4.6 (1.09) * anomaly

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* Wald p < 0.001. Nagelkerke’s R2 0.57

0.01 (0.001 0.08)

ACCEPTED MANUSCRIPT Table 6. Univariate analysis of different prognostic scoring systems assessed as ordinal scales. Survival

Odds ratio (95% ci)

p value

Spitz

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T

Scoring system

<0.001

4.1 (1.9 9)

<0.001

39 (8.1 186)

<0.001

4.6 (2 10.7) 81/86 (94%)

2

20/28 (71%)

MA NU

SC

1

3

3/6 (50%)

Modified Spitz

81/86 (94%)

ED

1

11/12 (92%)

PT

2.1

3

AC

Newcastle model

CE

2.2

8/15 (53%) 4/7 (57%)

1 Neither cardiac nor renal

91/93 (98%)

2 Either cardiac or renal

10/23 (43%)

3 Cardiac and renal

0/4 (0%)

ACCEPTED MANUSCRIPT Table 7. Published survival and risk stratification of oesophageal atresia

95

Waterston *+

C 73%

A 100%

B 100%

C 50%

I 92%

II 50%

III 0%

A 100%

B 91%

C 43%

I 91%

II 53%

A 100%

B 100%

C 43%

I 89%

II 64%

III 50%

A 100%

B 100%

C 66%

I 96%

II 57%

III 0%

No complications

I 100%

II 50%

III 0%

Complications

I 33%

II 40%

III 0%

134

Spitz * +

I 92%

II 69%

III 100%

357

Waterston * +

A 86%

B 88%

C 51%

144

Waterston * +

A 100%

B 100%

C 80%

Spitz +

I 99%

II 84%

III 43%

Montreal

I 92%

II 71%

No complications

I 99%

II 84%

III 43%

Complications

I 100%

II83%

III 25%

Spitz +

I 99%

II 82%

III 50%

1993 [18]

Montreal

Okada

112

Waterston * +

1997 [19]

Spitz 94

Waterston +

1997 [26]

Montreal

Dunn

64

Waterston * +

Choudhury 1999 [9]

240

Spitz +

Yagu

133

Waterston * +

2000 [21]

ED

1999 [20]

A 93%

B 94%

I 93%

II 31%

MA NU

Teich

Classification grade and survival

T

Poenaru

Classifications reported

RI P

Year of publication

Number of patients

SC

Author

PT

Spitz

2001 [23] Deurloo

AC

Driver

CE

Bremen * +

2002 [10] Konkin 2003 [22]

Bremen * +

Lopez

188

ACCEPTED MANUSCRIPT 2006 [27] Lilja

65

Spitz * +

I 100%

II 78%

III 100%

52

Spitz +

I 84%

II 76%

III 66%

Revised Spitz +

I 100%

II 88%

III 83%

130

Spitz * +

I 99%

II 94%

III No patients

132

Waterston +

A 100%

B 92%

C 49%

I 97%

II 64%

III 27%

II 87%

III 54%

2009[28] Koivusalo

2013 [29] Turner

Spitz 1219

Spitz +

2014 [30]

MA NU

Niramis

SC

2012 [25]

RI P

Okamoto

I 99%

T

2008 [24]

IV 40%

ED

* Classification where outcomes are inconsistent with progressively poorer grading.

AC

CE

PT

+ Classification where groups show less than 20% difference in survival rates