Practice variation in gastroschisis: Factors influencing closure technique Jennifer Stanger, Noosheen Mohajerani, Erik D. Skarsgard PII: DOI: Reference:

S0022-3468(14)00166-3 doi: 10.1016/j.jpedsurg.2014.02.066 YJPSU 56719

To appear in:

Journal of Pediatric Surgery

Received date: Accepted date:

2 February 2014 13 February 2014

Please cite this article as: Stanger Jennifer, Mohajerani Noosheen, Skarsgard Erik D., Practice variation in gastroschisis: Factors influencing closure technique, Journal of Pediatric Surgery (2014), doi: 10.1016/j.jpedsurg.2014.02.066

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ACCEPTED MANUSCRIPT Practice Variation in Gastroschisis: Factors Influencing Closure

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Technique

Jennifer Stanger, Noosheen Mohajerani, Erik D. Skarsgard,

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And the Canadian Pediatric Surgery Network (CAPSNet)

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Department of Surgery, Division of Pediatric Surgery, BC Children’s Hospital, University

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of British Columbia, Vancouver, BC, Canada

Corresponding Author: Erik D. Skarsgard, MD Division of Pediatric Surgery, BCCH K0-110 ACB, 4480 Oak Street Vancouver, BC V6J 4K7 (604) 875-2548; fax: (604) 875-2721 E-mail: [email protected]

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ACCEPTED MANUSCRIPT Abstract Background: Little is known about the factors influencing surgical practice variation in

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newborns with gastroschisis. The purpose of this study was to correlate prognostic

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variables with the intended and actual abdominal closure technique and assess related outcomes.

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Methods: GS cases were abstracted from a national database. Variables evaluated

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included GA, BW, bowel injury severity (GPS), neonatal illness severity (SNAP-II), inborn status, center volume and training status, and admission time. Evaluated

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outcomes by closure method included duration of TPN, LOS, and complications. Descriptive, univariate, and analyses were conducted.

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Results: The cohort consisted of 679 patients. 372 (55%) underwent attempted PR, of

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which 300 (81%) were successful, while 307 (45%) had a silo placed intentionally. Patients undergoing attempted PR were more likely to be inborn, have daytime

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admissions, and higher SNAP-II scores. Successful PR was predicted by low risk GPS

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and high volume center. With the exception of higher rates of SSI in the planned silo group, outcomes in the successful PR and planned silo groups were comparable. Conclusion: Practice variation related to type of closure is predicted by situational and institutional factors (outborn, nightime admission, and center volume), while outcome variation is attributable to patient factors rather than practice variation.

Keywords: Gastroschisis, Surgical Management, Practice Variation, Risk-Adjusted Outcome variation

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Introduction

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Surgical decision-making regarding the timing and type of abdominal closure in newborns with gastroschisis (GS) is potentially influenced by patient, situation and

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hospital-specific factors. In an era when primary repair was the preferred method of

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abdominal closure, a hand sewn silo followed by delayed closure was recognized as an important rescue technique when abdominal wall closure could not be obtained due to

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viscero-abdominal disproportion and the risk of development of abdominal compartment syndrome.[1] With the advent of the spring-loaded silo, routine, non-selective silo

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placement has been advocated as a technique yielding comparable outcomes with the

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added advantage of avoiding out of hours surgery.[2,3] Little is known about the factors

achieved.

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which determine choice of closure technique, and the comparability of the outcomes

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Significant practice variation exists in the peri-natal care of newborns with GS which may be a contributing factor to outcome variation.[4] Protocol – driven patient care in gastroschisis is rare.[5] While most modern series report survival rates of greater than 90%, the associated morbidities are less well reported.[6,7,8] Efforts to standardize patient care are limited by a lack of appropriately risk-adjusted studies to predict which management strategies are associated with superior outcomes. With the rates of GS increasing and the potential increased burden of disease and associated costs of care, improved predictive models leading to standardized care pathways are needed. [1]

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ACCEPTED MANUSCRIPT The purpose of this study was to use the population-based CAPSNet database to analyze the factors involved in the surgical management of newborns with GS, with an

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Methods

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factors (if any), that contribute to outcome variation.

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intent of understanding the determinants of surgical practice variation and identifying

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The Canadian Pediatric Surgery Network (CAPSNet) consists of 17 perinatal / surgical centers that provide population-based care for GS in Canada. The CAPSNet

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database captures prospective data that describe prenatal diagnosis and postnatal treatment and outcome up to the point of hospital discharge. The database was

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designed specifically for outcomes research and contains fields that allow discrimination

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of risk variables and treatment, timing and type of surgical management, as well as relevant clinical outcomes. Details of data collection, privacy protection, and use of

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aggregate data for research purposes have been described previously [6]. For the

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purpose of this study, the CAPSNet GS database was interrogated for all “completed” cases (i.e. those who survived or died to index hospitalization discharge) accrued between May 2005 and December 2011. Data abstracted included neonatal risk factors (gender, gestational age {GA}, birth weight {BW}), delivery factors (mode of delivery, inborn status, time of admission) and surgical factors (closure intent/success, GS case volumes of the treating center, and whether the treating center hosts a pediatric surgical training program). Patient risk stratification was also performed using the validated Score for Neonatal Acute Physiology-II (SNAP-II) and the Gastroschisis Prognostic Score (GPS). [9, 10] GPS

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ACCEPTED MANUSCRIPT uses a standardized visual assessment of the intestine by the surgeon at initial consultation to categorize the baby as low or high risk for adverse outcome. Time of

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day of admission was classified as daytime if the baby arrived between 0800h and

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2000h. Outcomes of interest included length of stay (LOS), timing of enteral feeding, duration of total parenteral nutrition (TPN), duration of mechanical ventilation and

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complications including culture-proven bacteremia and surgical site infection (SSI).

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The primary study cohort compared patients that underwent primary repair (PR) (defined as patients undergoing attempted abdominal closure within 6 hours) to those

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for whom a silo was placed to facilitate delayed closure. This comparison sought factors that were predictive of choice of one closure technique over the other, as well as

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a comparison of outcomes. A subset analysis was conducted on patients in whom PR

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was attempted: Patients undergoing successful PR were compared to those for whom attempted PR was unsuccessful, to see if there were variables which predicted success,

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and to observe outcome differences between groups.

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Data were analysed using SPSS version 21 for Windows software (IBM software Inc, Chicago, IL). Descriptive, univariate and multivariable regression analyses were performed. Student’s t-test was employed for continuous variables, and the chi-squared test for categorical variables. A double sided p-value of < 0.05 was considered significant.

Results Between May 2005 and December 2011, 694 babies with gastroschisis had “completed” entries in the CAPSNet database, of which 679 were included in the study

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ACCEPTED MANUSCRIPT cohort. 15 patients were excluded due to missing data. The average GA of all patients was 35.8 weeks and the average BW 2557 grams. Males comprised 52.1% (n = 360) of

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the study population. Over half of the patients were classified as inborn (n = 398,

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57.6%) and 52.8% (n = 365) were managed in high volume centers (defined as a center that treats 9 or more patients with gastroschisis each year). Time of day of admission

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was only available for patients treated between 2005 and 2010 (n = 540), with 54.4% (n

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= 294) being born during the daytime.

The 679 patient study cohort was classified according to the intended and actual

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surgical technique used to achieve abdominal closure, as summarized in Figure 1. Closure intent was PR in 372 patients, and of these, closure was successful in 300

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(81%). A total of 379 patients underwent silo placement and delayed abdominal closure,

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and of these, 72 had failed initial attempts at PR. Comparison of the groups according to actual closure technique demonstrated similarities in GA, BW, gender, mode of

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delivery and GPS (Table 1). Patients undergoing PR had a higher mean SNAP-II score

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(11.1 vs. 7.21, p 90% are typically reported, there remains

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significant short and occasionally, long term morbidity in some patients.[6,7] An

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evolution in surgical treatment has been the introduction of the pre-formed ring silo which offers the ease and simplicity of bedside placement as well as the avoidance of

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out of hours surgery. Unfortunately, there is little existing evidence to guide surgical

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decision-making which likely contributes to the observed, widespread variation in surgical practice within and between pediatric surgical centers. [4, 5]

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Previous reports have sought to address this question of optimal timing and technique of GS defect closure, and the results are conflicting. Several authors have

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found that silo placement and delayed closure as a preferred closure technique yield

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comparable outcomes to PR [2,3], while others have identified an association between delayed closure, prolonged LOS and increased rates of complication.[13,14]. Very few

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studies have sought to identify predictors of treatment. Our findings are supported by

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the previous studies by Nasr et al. and Quirk et al. that demonstrated location of delivery as a significant predictor of outcome in newborns with GS. [14, 15]. In our study, NICU admission time was a predictor of surgical management with patients being born at night (8pm to 8am) more likely to undergo delayed closure. SNAP-II is an aggregate neonatal illness severity score measured within 12 hours of NICU admission that reflects the hemodynamic, oxygenation, perfusion and neurologic profile of an infant admitted to the NICU. [9] The observation of higher SNAP-II scores amongst infants undergoing PR seems paradoxical, and may be an issue of timing of measurement rather than a true reflection of the illness severity of a newborn with GS.

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ACCEPTED MANUSCRIPT If measurements are made after PR, it is possible that what is being measured are the acute physiologic derangements resulting from operative intervention, which may

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represent a source of type 1 error in the study. It should be noted that even though the

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SNAP-II scores were significantly elevated in the PR group this did not translate into inferior outcomes compared to the delayed surgery group.

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The secondary aim of this study was to identify factors that predict successful

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PR. We observed that low risk GPS, inborn status and treatment in a pediatric surgical training center all predicted successful PR on analysis. Furthermore those patients that

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were successfully closed primarily had significantly better outcomes, with reduced mechanical ventilation requirements, improved enteral nutritional recovery, decreased

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infectious complication. Length of stay approached statistically significant difference,

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with an absolute difference of 20 days. Our study provides further validation of the prognostic value of GPS in that it not only predicts outcome but may predict best

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surgical management for patients in the high risk group.

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While the patient cohort used in this study is sizeable, our study reflects the limitations of an observational dataset. Although we have a datafield that captures the consulting surgeon’s “treatment intent”, the surgeon out of necessity has seen the baby before making that declaration. It is impossible to know what factors might bias a surgeon’s decision to attempt PR or place a silo. It is for this reason that we conducted our analysis based on the actual rather than planned approach. Time of NICU admission was only available for the cohort born before 2010. While statistically significant, the lower end of the confidence interval of the OR for time of day does approach 1. A larger sample size would make this result more robust. Although GPS

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ACCEPTED MANUSCRIPT can be used to predict the success of planned PR, it is predictive only as a binary (low risk, high risk) rather than continuous variable and therefore it lacks quantitative

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prediction for both success of treatment and likelihood of adverse outcome. Finally, the

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utility of SNAP-II as a predictor of treatment is suspect, due to the uncertainty of whether it is measuring innate patient risk or the immediate impact of surgical closure

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on neonatal physiology.

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In this study we did not evaluate the duration of silo placement prior to successful delayed closure. It is possible that the comparable outcomes observed between the PR

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and silo group result from the heterogeneity in the silo group; arising from variability in situational factors (time of day of admission, outborn status etc.) rather than true patient

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factors (birth weight, GPS score etc.). Future work should attempt to stratify patients

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based on duration of silo placement prior to primary closure in order to further define the role of patient, institutional and situational factors in gastroschisis management.

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Practice variation in the surgical management of newborns with GS appears to

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be influenced by patient factors (GPS), situational factors (time of NICU admission), and by institutional factors (outborn status and GS case volumes). GPS is a valid marker of those infants who are most at risk of adverse outcomes and may have utility in predicting those patients who are most amenable to PR. Future risk-adjusted studies targeting outcome improvement in GS should seek to establish a relationship (if any) between variations in practice and outcome variation, with the intention of developing evidence-based “best practice” guidelines for surgical treatment and other essential GS care pathways.

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ACCEPTED MANUSCRIPT References

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1. Holland AJ, Walker K, Badawi N. Gastroschisis: an update. Pediatr Surg Int

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2010; 26: 871-8.

2. Schlatter M, Norris K, Uitvlugt N, et al. Improved outcomes in the treatment of

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gastroschisis using a prefprmed silo and delayed repair approach. J Pediatr

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Surg 2003; 38: 459-64.

3. Lansdale N, Hill R, Gull-Zamir S, et al. Staged reduction of gastroschisis using

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preformed silos: practicalities and problems. J Pediatr Surg 2009; 44: 2126-29. 4. Baird R, Eeson G, Safavi A, et al. Institutional practice and outcome variation in

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the management of congenital diaphragmatic hernia and gastroschisis in

2011; 46: 801-7.

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Canada: a report from the Canadian Pediatric Surgery Network. J Pediatr Surg

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5. Aldrink JH, Caniano DA, Nwomeh BC. Variability in gastroschisis management:

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a survey of North American pediatric surgery training programs. J Surg Research 2012; 176: 159-63. 6. Skarsgard E, Claydon J, Bouchard S, et al. Canadian Pediatric Surgical Network: a population-based pediatric surgery network and database for analyzing surgical birth defects. The first 100 cases of gastroschisis. J Pediatr Surg 2007; 43: 30 – 34. 7. Kassa AM, Lilja HE. Predictors of postnatal outcome in neonates with gastroschisis. J Pediatr Surg 2011; 46: 2108-2114.

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ACCEPTED MANUSCRIPT 8. Singh SJ, Fraser A, Leditschke JF, et al. Gastroschisis: determinants of neonatal outcome. Pediatr Surg Int 2003; 19: 260 – 265.

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9. Richardson DK, Corcoran JD, Escobar GJ, et al. SNAP-II and SNAPPE-II:

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simplified newborn illness severity and mortality risk scores. J Pediatr 2001; 138: 92-100.

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10. Cowan KN, Puligandla PS, Laberge J-M, et al. The Gastroschisis Prognostic

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Score: outcome prediction in gastroschisis. J Pediatr Surg 2012; 47: 801-7. 11. Kidd Jr JN, Jackson RJ, Smith SD, et al. Evolution of staged versus primary

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closure of gastroschisis. Ann Surg 2003; 237: 759-64. 12. Owen A, Marven S, Johnson P, et al. Gastroschisis: a national cohort study to

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describe contemporary surgical strategies and outsomes. J Pediatr Surg 2010;

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45: 1808-1816.

13. Weinsheimer RL, Yanchar NL, Bouchard SB, et al. Gastroschisis closure – does

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method really matter? J Pediatr Surg 2008; 43: 874-8.

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14. Nasr A, Langer J, The Canadian Pediatric Surgery Network. Influence of location of delivery on outcome in neonates with gastroschisis. J Pediatr Surg 2012; 47: 2022-2025.

15. Quirk JR JG, Fortney J, Collins HB, et al. Outcomes of newborns with gastroschisis: the effects of mode of delivery, site of delivery, and interval from birth to surgery. Am J Obstet Gynecol 1996; 174: 1134-8.

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ACCEPTED MANUSCRIPT Figure 1 Legend: Flow diagram illustrates the distribution of gastroschisis patients according to intended and

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actual surgical treatment received

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ACCEPTED MANUSCRIPT Figure 1: Intended and Actual Surgical Closure of 679 Gastroschisis patients

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679 Intended Silo

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Intended PR

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372

Successful PR

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Unsuccessful PR

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Total Silos

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300

307

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ACCEPTED MANUSCRIPT Table 1: Clinical demographics of patients undergoing Primary Repair (< 6 hours) compared to delayed closure Delayed Closure (n=379) 35.8

Birth Weight (grams)

2572

2545

SNAP-II score (mean)

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Gender: Male (N, %) Site Volume: High Volume (N, %) GPS risk score: Low (N, %) Time of Admission: Night (N, %) Delivery Type: SVD (N, %) Surgeon Status: Trainee (N, %) Location of Delivery: Outborn (N, %)

174 (46.7)

178 (46.9)

0.99

162 (43.5)

199 (52.5)

0.04

240 (63.3)

0.47

106 (28.5)

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224 (60.2)

p-Value

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Gestational Age (weeks)

Primary Repair (n=372) 35.8

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Variable

0.99 0.50 < 0.001

139 (36.7)

0.02

229 (60.4)

0.79

133 (35.8)

135 (35.6)

0.88

61 (16.4)

228 (60.2)

Practice variation in gastroschisis: factors influencing closure technique.

Little is known about the factors influencing surgical practice variation in newborns with gastroschisis. The purpose of this study was to correlate p...
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