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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: Pediatr Res. 2015 Oct 22;79(2):318–324. doi: 10.1038/pr.2015.216

Effect of 22q11.2 deletion on bleeding and transfusion utilization in children with congenital heart disease undergoing cardiac surgery

Michelle K Brenner 1, Shanelle Clarke 2, Donna K Mahnke 3, Pippa Simpson 4, Rachel S Bercovitz 5, Aoy Tomita-Mitchell 3, Michael E Mitchell 3,6, Debra K Newman 1,7
PMCID: PMC5114022  NIHMSID: NIHMS826689  PMID: 26492284

Abstract

Background

Post-surgical bleeding causes significant morbidity and mortality in children undergoing surgery for congenital heart defects (CHD). 22q11.2 deletion syndrome (DS) is the second most common genetic risk factor for CHD. The deleted segment of chromosome 22q11.2 encompasses the gene encoding glycoprotein (GP) Ibβ, which is required for expression of the GPIb-V-IX complex on the platelet surface, where it functions as the receptor for von Willebrand factor (VWF). Binding of GPIb-V-IX to VWF is important for platelets to initiate hemostasis. It is not known whether hemizygosity for the gene encoding GPIbβ increases the risk for bleeding following cardiac surgery for patients with 22q11.2 DS.

Methods

We performed a case-control study of 91 pediatric patients who underwent cardiac surgery with cardiopulmonary bypass from 2004–2012 at Children’s Hospital of Wisconsin.

Results

Patients with 22q11.2 DS had larger platelets and lower platelet counts, bled more excessively and received more transfusion support with packed red blood cells in the early post-operative period relative to control patients.

Conclusions

Pre-surgical genetic testing for 22q11.2 DS may help to identify a subset of pediatric cardiac surgery patients who are at increased risk for excessive bleeding and who may require more transfusion support in the post-operative period.

Introduction

Approximately 40,000 children per year in the United States undergo cardiac surgery with cardiopulmonary bypass (CPB) for congenital heart defects (CHD) (1–4). Up to 40% of these patients experience excessive bleeding (5,6), and coagulopathy associated with CPB has been found to be more severe in children than in adults (7). Recalcitrant post-CPB bleeding requires interventions that include transfusion of blood products, administration of recombinant activated factor VII, and surgical re-exploration, which are associated with increased morbidity and mortality (8–11). Identifying factors that contribute to excessive bleeding and transfusion risk in pediatric cardiac surgery patients may help to mitigate risks associated with poor outcomes in this patient population.

A potential contributing factor to bleeding in pediatric cardiac surgery patients is the underlying genetic defect responsible for CHD, which may affect hemostatic mechanisms. One such case is 22q11.2 deletion syndrome (DS), which is caused by deletion of 1–3 megabases (Mb) of DNA, (12) and occurs in 1 in 4000 live births, making it the most common human microdeletion syndrome (13). The phenotype associated with 22q11.2 DS is complex; CHD, palatal anomalies, hypocalcemia, and learning difficulties are frequently observed (14). CHD associated with 22q11.2 DS is quite varied, but conotruncal abnormalities that include Tetralogy of Fallot (TOF), pulmonary atresia/ventricular septal defect (PA-VSD), truncus arteriosus (TA), subpulmonary ventricular septal defect (SP-VSD), and interrupted aortic arch (IAA) are the signature cardiac malformations (15). CHD is found in 74% of patients with 22q11.2 DS and is the major cause of mortality in these patients (16). Overall, 5% of patients with CHD have 22q11.2 DS (13).

GPIBB is a gene contained within the two stretches of DNA, one 3 Mb in length and the other, a nested deletion 1.5 Mb in length, that are commonly deleted in patients with 22q11.2 DS (12), and is therefore expected to be deleted in 80–93% of these patients (17–20). GP1BB encodes glycoprotein (GP) Ibβ, which is required for expression of the GPIb-V-IX complex on the platelet surface (21,22). GPIb-V-IX is essential for platelets to adhere to von Willebrand factor (VWF) and initiate hemostasis on damaged blood vessels in the arterial circulation (23). Failure of platelets to express functional GPIb-V-IX causes Bernard Soulier Syndrome (BSS), a severe autosomal recessive bleeding disorder characterized by large platelets and decreased platelet counts (macrothrombocytopenia), and severely impaired adhesion of platelets to damaged blood vessels (23). Patients with 22q11.2 DS have been described as “Bernard Soulier-like” in that they have an increased prevalence of macrothrombocytopenia (24–27), decreased levels of platelet surface expression of GPIb-V-IX and/or decreased levels of total platelet GPIbβ (25,28), and platelet function defects (25,28). In addition, patients with 22q11.2 DS have symptoms consistent with a mild hemostatic disorder such as easy bruising, epistaxis and menorrhagia (28,29). The extent to which patients with 22q11.2 DS bleed excessively in association with cardiac surgery is not known.

We investigated the association of 22q11.2 DS with bleeding and receipt of transfusions in pediatric patients undergoing cardiac surgery with CPB. The primary outcome of this study was excessive bleeding, which reflected the rate of chest tube output and controlled for the patient’s total estimated blood volume. The secondary outcome of this study was transfusion utilization in the first 24 hours post-operatively. We found that patients with 22q11.2 DS bled more excessively and received more transfusion support in the early post-operative period relative to matched patients without 22q11.2 DS. Our results suggest that genetic testing for 22q11.2 DS could help to identify a subset of pediatric patients with an elevated risk for bleeding and need for transfusion support in association with cardiac surgery.

Results

Patient Demographics and Surgical Experience

The characteristics of study patients are shown in Table 1. Patients with 22q11.2 DS did not differ significantly from control patients with respect to age, gender, or weight. Consistent with previous reports (30–32), the majority of the patients in our study population (70% of 22q11.2 DS patients and 67% of matched control patients) were diagnosed with TOF or TA. Two surgeons performed approximately 85% of all surgeries for both case and control patients, and the two groups did not differ significantly with respect to the identity of the surgeon who performed the operation. Whole blood was used to prime the CPB pump for the majority of patients in both groups and similar amounts of blood product were used to prime the pump for cases and controls. Patients with 22q11.2 DS and controls did not differ with respect to pre- or post-operative administration of medications that inhibit platelet function. Thus, patients with 22q11.2 DS and controls were administered prostaglandin E1 (19% and 18%, respectively), aspirin (14% and 13%, respectively), and enoxaparin (3% and 0%, respectively) in the pre-operative period. Only one patient, a control, was administered anti-platelet medication (aspirin) in the immediate post-operative period. With the exception of two control patients, all patients were administered the phosphodiesterase inhibitor milrinone in the immediate post-operative period. Previous studies have identified the lowest temperature experienced by patients during cardiac surgery and the amount of time spent on CPB as predictors of bleeding (33). In this study, cases and controls did not differ significantly with respect to either the average amount of time spent on CPB or the lowest temperature experienced during surgery. In addition, although hypocalcemia is often present in patients with 22q11.2 DS (14), neither pre-operative (median = 4.76 mg/dL; range = 3.72 – 5.76 mg/dL) nor post-operative (median = 4.58 mg/dL; range = 3.4 – 5.6 mg/dL) ionized calcium levels in patients with 22q11.2 DS differed significantly from that of control patients (pre-operative median = 4.84 mg/dL; range = 3.8 – 5.92 mg/dL and post-operative median = 4.84 mg/dL; range = 3.48 – 5.76 mg/dL).

Table 1.

Patient demographics and surgical experience

Variable Control
(N=55)		 22q11.2 DS
(N=36)		 p-value
Demographic Information
 Age, days (median, range) 120 (5–4588) 55 (6–4320) 0.73
 Gender, Male (N, %) 33 (60%) 16 (44%) 0.20
 Weight, kg (median, range) 5.4 (1.9–86.0) 3.9 (2.1–33.6) 0.25
 Cardiac anatomy diagnosis (N, %) 0.88
  Tetralogy of Fallot-pulmonary stenosis 19 (35%) 11 (31%)
  Tetralogy of Fallot-pulmonary atresia 5 (9%) 3 (8%)
  Tetralogy of Fallot-pulmonary atresia and MAPCAs 4 (7%) 2 (6%)
  Truncus Arteriosus 7 (13%) 9 (25%)
  Truncus Arteriosus with Interrupted Aortic Arch 2 (3%) 0 (0%)
  Interrupted Aortic Arch 7 (13%) 5 (13%)
  Ventricular Septal Defect 8 (15%) 4 (11%)
  Other 3 (5%) 2 (6%)
Surgical Information
 Procedure (N, %) 0.80
  Tetralogy of Fallot, RV-PA conduit 6 (11%) 3 (8%)
  Tetralogy of Fallot, transannular patch 16 (29%) 7 (20%)
  Truncus Arteriosus repair 7 (13%) 9 (25%)
  Interrupted Aortic Arch repair 7 (13%) 5 (14%)
  PA-VSD repair 6 (11%) 4 (11%)
  VSD repair 8 (14%) 4 (11%)
  Other 5 (9%) 4 (11%)
 Surgeon (N, %) 0.34
  Surgeon A 26 (47%) 19 (53%)
  Surgeon B 20 (37%) 12 (33%)
  Surgeon C 4 (7%) 3 (8%)
  Surgeon D 2 (4%) 0 (0%)
  Surgeon E 0 (0%) 2 (6%)
  Surgeon F 3 (5%) 0 (0%)
 Prime information
  Priming product (N, %) 0.59
   Whole blood 50 (91%) 33 (92%)
   Packed red blood cells and fresh frozen plasma 3 (5%) 3 (8%)
   Clear prime only 2 (4%) 0 (0%)
  Prime amount, ml/kg (median, range) 72 (16–184) 97 (39–190) 0.16
 Cardiopulmonary bypass time, minutes (median, range) 152 (61–632) 172 (52–549) 0.21
 Lowest temperature during surgery, °C (median, range) 27.6 (16.3–33.4) 27.6 (15.1–34.3) 0.85
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MAPCAs = major aortopulmonary collateral arteries; PA-VSD = pulmonary atresia with ventricular septal defect; RV-PA = right ventricle to pulmonary artery

Hematologic characteristics

The results of standard clinical diagnostic laboratory tests of hemostatic function are shown in Table 2. Cases and controls did not differ significantly with respect to pre-operative PTT, PT or fibrinogen levels. Neither the pre- nor post-operative hematocrits of patients with 22q11.2 DS differed significantly from those of control patients. Patients with 22q11.2 DS had significantly larger platelets (MPV of 10.4 vs. 7.5 fL, respectively) and a significantly lower platelet count prior to surgery relative to control patients (235 vs. 305 × 103 platelets/μL, respectively), as has been previously reported (24–27). In the post-operative period, platelet counts decreased significantly relative to pre-operative values for both cases and controls, and the lower platelet counts observed prior to surgery in patients with 22q11.2 DS relative to controls persisted through post-operative day 1.

Table 2.

Hematologic information

Variable (median, range) Control
(N=55)		 22q11.2 DS
(N=36)		 p-value
Pre-operative values
 PTT, seconds 33.7 (24.1–119.1) a 35.2 (24.0–200.0) b 0.74
 PT, seconds 13.1 (11.1–18.6) a 13.3 (11.3–17.2) b 0.48
 Fibrinogen, mg/dL 266 (115–503) a 284 (125–452) b 0.17
 Hematocrit, % 41.7 (28.0–57.3) 39.8 (30.2–52.1) 0.10
 Mean platelet volume, fL 7.5 (5.7–11.1) 10.4 (6.4–15.2) <0.0001
 Platelet count, × 103/μL 305 (95–688) 235 (54–506) 0.0006
Post-operative values – Day 1
 Hematocrit, % 40.4 (25.6–56.2) 41.3 (27.3–54.1) 0.95
 Platelet count, × 103/μL 183 (73–405) * 135 (69–506) * 0.001
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PTT = partial thromboplastin time; PT = prothrombin time

a

n=53;

b

n=35;

*

Denotes significant difference (p<0.0001) relative to pre-operative platelet count

Bold font depicts p-value<0.05

Bleeding

The primary outcome of this study was excessive bleeding in the first 12 hours following surgery, which reflected the rate of chest tube output and controlled for the patient’s total estimated blood volume. We found that approximately twice as many cases (15/36, 42%) as controls (11/55, 20%) met the criteria for excessive bleeding, and this difference was statistically significant (Table 3). Total chest tube output, the frequency with which bleeding was described in the operative note, and the frequency with which patients required emergent re-exploration did not differ significantly between control patients and patients with 22q11.2 DS (Table 3). Notably, although differences between cases and controls did not achieve statistical significance at a value of p < 0.05 for the latter two outcomes, bleeding was described in the operative note more than twice as frequently for patients with 22q11.2 DS (9/36, 25%) than for control patients (6/55, 11%) and emergent re-exploration was required about 50% more frequently in patients with 22q11.2 DS (6/36, 17%) than in control patients (6/55, 11%).

Table 3.

Bleeding

Variable Control
(N=55)		 22q11.2 DS
(N=36)		 p-value
Excessive bleeding: 0–12 hours post-operative (N, %) 0.03
 No 44 (80%) 21 (58%)
 Yes 11 (20%) 15 (42%)
Chest tube output, ml/kg (median, range)
 ICU: 0–12 hours post-operative 25 (2–164) 32 (3–66) 0.29
 ICU: 12–24 hours post-operative 9 (0–191) 15 (1–51) 0.17
 ICU: 0–24 hours post-operative 36 (5–355) 46 (5–105) 0.18
Bleeding described in the operative note (N,%) 0.09
 No 49 (89%) 27 (75%)
 Yes a 6 (11%) 9 (25%)
Required emergent re-exploration (N, %) 0.53
 No 49 (89%) 30 (83%)
 Yes 6 (11%) 6 (17%)
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a

Hematologic defect was identified as a possible cause of bleeding in the surgical notes of 3/6 (50%) of control and 7/9 (78%) of 22q11.2 DS patients

Bold font depicts p-value<0.05

Transfusion support

The secondary outcome of this study was transfusion utilization, since increased use of transfused blood products following surgery can be interpreted as an indication of excessive bleeding. We therefore compared the volumes of blood products with which patients were transfused and the incidence of transfusion during the peri-operative period and during the first 24 hours post-operatively (Table 4). In the peri-operative period, cases and controls did not differ significantly with respect to the volumes with which they were transfused or the incidence of transfusion for any blood product. In the first 24 hours post-operatively, however, patients with 22q11.2 DS were significantly more likely to receive a PRBC transfusion (78%) and were transfused with a significantly larger volume of PRBC (14 ml/kg) relative to control patients (51% and 2 ml/kg, respectively).

Table 4.

Transfusion experience

Variable Control
(N=55)		 22q11.2 DS
(N=36)		 p-value
Transfusions received in the OR during the peri-operative period
 Quantity transfused, ml/kg (median, range)
  Packed red blood cells 0 (0–172) a 7 (0–193) b 0.19
  Fresh frozen plasma 8 (0–147) c 10 (0–98) d 0.53
  Platelets 6 (0–38) a 10 (0–43) 0.30
  Cryoprecipitate 0 (0–13) 0 (0–28) 0.32
  Whole Blood 0 (0–18)§ 0 (0–9) 0.59
 Incidence of transfusion (N, %)
  Packed red blood cells 22 (43%) a 19 (56%) b 0.28
  Fresh frozen plasma 29 (56%) c 21 (60%) d 0.83
  Platelets 30 (59%) a 25 (69%) 0.37
  Cryoprecipitate 9 (16%) 9 (25%) 0.42
  Whole Blood 8 (15%) e 4 (11%) 0.76
Transfusions received in the ICU 0–24 hours post-operatively
 Quantity transfused, ml/kg (median, range)
  Packed red blood cells 2 (0–86) 14 (0–47) 0.02
  Fresh frozen plasma 11 (0–104) 9 (0–66) 0.75
  Platelets 0 (0–59) 0 (0–27) 0.86
  Cryoprecipitate 0 (0–9) 0 (0–12) 0.34
  Whole Blood 0 (0–49) 0 (0–20) 0.83
 Incidence of transfusion (N, %)
  Packed red blood cells 28 (51%) 28 (78%) 0.01
  Fresh frozen plasma 36 (65%) 25 (69%) 0.82
  Platelets 19 (35%) 13 (36%) 1.00
  Cryoprecipitate 2 (4%) 3 (8%) 0.38
  Whole Blood 2 (4%) 1 (3%) 1.00
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ICU = intensive care unit

a

n=51;

b

n=34;

c

n=52;

d

n=35;

e

n=54

Bold font depicts p-value <0.05

22q11.2 deletion syndrome as a predictor of bleeding and transfusion support

A multivariable conditional logistic regression analysis was performed to identify variables that correlated with either excessive bleeding in the first 12 hours after surgery or receipt of a PBRC transfusion in the first 24 hours after surgery. Patients with 22q11.2 DS were approximately four times more likely than were control patients to bleed excessively in the first 12 hours post-operatively (odds ratio = 4.21, 95% confidence interval = 1.12–15.86, P=.0339). In addition, the presence of 22q11.2 DS was the only variable that correlated with transfusion with PRBC in the first 24 hours following surgery, and patients with 22q11.2 DS were three times more likely than were control patients to receive a PRBC transfusion in this time period following surgery (odds ratio = 3.00, 95% confidence interval = 1.05–8.60, P=.0399).

Thus far, our results indicate that, relative to control patients, 22q11.2 DS patients were characterized by platelet defects including a higher MPV and a lower platelet count (Table 2) and post-surgical bleeding complications, including a higher incidence of excessive bleeding (Table 3) and both a higher incidence and a larger volume of PRBC transfusion (Table 4). To determine the clinical significance of the platelet defects associated with 22q11.2 DS, we evaluated the extent to which MPV and platelet count correlated with post-surgical bleeding and transfusion support in this patient population. We found that MPV correlated significantly with the likelihood of PBRC transfusion but not with excessive bleeding or with the volume of PRBCs transfused. Platelet count did not correlate with either bleeding or increased transfusion support in the 22q11.2 DS patient population. In a simple regression model, every unit increase in MPV was associated with an increased likelihood of receipt of a PRBC transfusion by a 22q11.2 DS patient (odds ratio = 2.43, 95% confidence interval, 1.34–5.62, p=0.0131). A multivariable logistic regression analysis revealed that MPV was the only variable that correlated with receipt of a PRBC transfusion in the first 24 hours following cardiac surgery for patients with 22q11.2 DS (odds ratio = 3.80, 95% confidence interval, 1.44–10.03, p=0.0071). Interestingly, 24 of the 25 (96%) 22q11.2 DS patients with a pre-operative MPV of >9.5 fL received a PRBC transfusion in the first 24 hours following cardiac surgery, whereas this was true of only 4 of the 11 (36%) 22q11.2 DS patients with an MPV <9.5 fL (Figure 1A). We generated a receiver operator characteristic (ROC) curve to assess the relationship between MPV and post-surgical receipt of a PRBC transfusion for patients with 22q11.2 DS. The ROC curve had an area under the curve of 0.8705 with a sensitivity of 82% and a specificity of 88% at an MPV of 9.5 fL (Figure 1B, C), reflecting a strong relationship between MPV and post-surgical receipt of a PRBC transfusion for patients with 22q11.2 DS.

Figure 1.

Figure 1

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Increased mean platelet volume (MPV) is associated with increased likelihood of receiving a packed red blood cell (PRBC) transfusion following cardiac surgery among patients with 22q11.2 deletion syndrome (DS). A) Pre-operative MPV (●,○) and platelet count (■,□) of individual patients with 22q11.2 DS who were (●,■) or were not (○,□) transfused with PRBC in the first 24 hours after cardiac surgery are plotted in ascending order of MPV. The dotted line corresponds to an MPV of 9.5 fL. B) Receiver operator characteristic (ROC) curve of the relationship between MPV and post-surgical PRBC transfusion. C) Sensitivity and specificity analysis of ROC curve at specific MPVs.

Discussion

We report results of a case-control analysis of bleeding and transfusion experience in pediatric patients with 22q11.2 DS who underwent cardiac surgery with CPB for CHD. We found that, relative to other CHD patients, patients with 22q11.2 DS had a higher incidence of excessive bleeding and received more transfusion support in the early post-operative period. Although this study was a retrospective analysis performed at a single institution and must therefore be interpreted with caution, the results are consistent with the pathophysiology associated with GPIBB hemizygosity. If validated, our results support pre-surgical genetic testing for 22q11.2 DS and determination of MPV in patients with 22q11.2 DS. Furthermore, platelet transfusions, either prophylactic or in association with bleeding, should be considered for pediatric patients with 22q11.2 DS, particularly those with high MPVs, who undergo cardiac surgery for congenital heart defects.

This study is the first to associate 22q11.2 DS with increased bleeding and transfusion support in children who undergo cardiac surgery. Numerous factors have previously been shown to contribute to the need for transfusion support and/or incidence of significant bleeding in these children. These factors include conditions associated with CPB, such as contact of blood with the artificial surfaces of the bypass unit (34), hemodilution of platelets and coagulation factors (7,33,35,36), hypothermia induced during surgery (33,37), and length of time on bypass (33,37). Patient-specific factors such as age and weight have also been found to contribute to bleeding in children following cardiac surgery (33,37). The case-control design of this study, which enabled patients with 22q11.2 DS to be matched with control patients on the basis of age, cardiac anatomy, and surgical procedure, eradicated significant differences between patient populations with respect to weight, volume of blood products used to prime the bypass pump (which determines the extent of hemodilution), the lowest temperature achieved during surgery, and the length of time on bypass. Controlling for these factors may have been important in allowing 22q11.2 DS to emerge as a factor associated with increased bleeding and transfusion in pediatric cardiac surgery patients.

The major limitations of this study are that it is retrospective in nature and performed at a single institution. An additional limitation is that, due to its retrospective nature, this study does not allow us to determine why patients with 22q11.2 DS required more transfusion support and bled more following cardiac surgery than did patients with other causes of CHD. A multi-institutional prospective study is necessary to validate the findings of this single institution retrospective analysis and elucidate the mechanisms underlying abnormal hemostasis and defective platelet function in patients with 22q11.2 DS.

Methods

Study Population

This study was a case-control design in which cardiac surgery patients with 22q11.2 DS were matched on the basis of age, cardiac anatomy, and surgical procedure with 1–2 patients with another cause of CHD. The records of patients who underwent cardiac surgery with CPB at Children’s Hospital of Wisconsin (CHW) between November 2004 and June 2012 were evaluated to identify subjects for inclusion in the study. All patients considered for enrollment had been tested for the 22q11.2 deletion using a multiplexed quantitative real-time PCR assay to determine the copy number of the TBX1 gene, which is typically deleted in this disorder (38). From a total of 136 potentially eligible patients, 45 patients were excluded because they either did not meet inclusion criteria, could not be matched with a suitable control patient, or were missing an essential piece of data (Figure 2). The final study population included 91 subjects, 36 of whom had 22q11.2 DS and 55 of whom were matched controls. Records were reviewed in strict compliance with a study protocol that was approved by the CHW institutional review board. The need for informed consent was waived due to the retrospective nature of the study.

Figure 2.

Figure 2

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Flowchart of patients included in the study. A total of 136 patients who underwent cardiac surgery with cardiopulmonary bypass from November 2004 – June 2012 at Children’s Hospital of Wisconsin were assessed for eligibility. Thirty-eight patients were excluded because they did not meet inclusion criteria, either because the data available for them were associated with a second or subsequent surgery for CHD (n=26), or because they were older than 18 years of age (n=10), had hemophilia B (n=1), or had been maintained on extracorporeal membrane oxygenation prior to surgery (n=1). Seven additional patients were excluded from analysis because a suitable matching patient was unavailable (n=6) or because the pre-operative mean platelet volume was missing (n=1). Ninety-one patients were included in the final analysis, including 36 patients with 22q11.2 DS and 55 matched control patients.

Outcomes and Definitions

Data related to patient demographics, surgical experience, hematologic characteristics, transfusion experience, and bleeding were recovered from the medical record. Hematologic, bleeding, and transfusion data were grouped on the basis of the time period relative to surgery from which they were collected. The peri-operative period for this study is defined as the time period from removal of the patient from CPB until admission into the cardiac intensive care unit (CICU). The post-operative period spanned the first 24 hours spent in the CICU.

The primary outcome of this study was excessive bleeding in the first 12 hours post-operatively. Patients were considered to have had excessive bleeding if they met any of the following conditions: (1) chest tube output of ≥20% of estimated blood volume in the first 2 hours, (2) ≥20% of estimated blood volume in hours 2–6, or (3) ≥30% of estimated blood volume in hours 6–12 in the CICU (39,40). Secondary outcomes included (1) total chest tube output during the first 24-hour period post-operatively, (2) transfusion experience, specifically the amount of blood product with which patients were transfused (in mL/kg) or the incidence of transfusion in the peri-operative period and in the first 24 hours post-operatively, (3) the frequency with which patients required emergent re-exploration and (4) the extent to which bleeding was described in the operative note. Of note, there was no institutional transfusion protocol and all transfusion decisions were made at the discretion of the attending physician.

Statistical analysis

The cohort and outcomes were described using descriptive statistics. Continuous variables were described using the median and range and compared using the Wilcoxon rank sum test. Categorical variables, described as number and percentage, were compared using fisher’s exact test. A multivariable conditional logistic regression (patients matched by age, cardiac anatomy, and surgical procedure) with the endpoint of having excessive bleeding or receiving a PRBC transfusion in the first 24 hours post-operatively was performed using a stepwise selection method. The presence or absence of a diagnosis of 22q11.2 DS was assessed in the model as were other potential confounders to bleeding, including the length of time on CPB, lowest temperature achieved during surgery, pre-operative partial thromboplastin time (PTT), pre-operative prothrombin time (PT), pre-operative fibrinogen, pre-operative hematocrit, pre-operative platelet count, pre-operative MPV, presence of a genetic anomaly other than 22q11.2 DS, and surgeon performing the operation. A multivariable logistic regression with the same endpoints was also performed for patients with 22q11.2 DS to determine patient characteristics associated with increased post-operative bleeding and transfusion support. Cofounding variables included weight, gender, cardiac anatomy, surgical procedure, the length of time on CPB, lowest temperature achieved during surgery, pre-operative partial thromboplastin time (PTT), pre-operative prothrombin time (PT), pre-operative fibrinogen, pre-operative hematocrit, pre-operative platelet count, pre-operative MPV, and surgeon performing the operation. The strength of the association between MPV and PRBC transfusion in the first 24 hours after cardiac surgery was examined using a receiver operating characteristics (ROC) curve analysis. For varying MPV thresholds sensitivity and specificity was calculated. Differences between patients with 22q11.2 DS and controls were considered to be statistically significant at a p value <0.05. All analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC). Graphs were created using Graphpad Prism 6 (Graphpad Software Inc, LaJolla, CA).

Acknowledgments

The authors thank Tao Wang for help with statistical analyses and PCTHRC members Drs. D. Woodrow Benson, Jim Tweddell, Ron Woods, Jake Scott, Rob Neibler, Bob Montgomery, Alan Mast, Susan Maroney, Julie Slicker, Rowena Punzalan and Paul Scott for helpful study design and editorial comments. We are indebted to Dr. Roy Silverstein for helpful editorial comments.

Financial Support = This work was supported by funds awarded from the Medical College of Wisconsin (Milwaukee, WI) and Children’s Hospital of Wisconsin (Milwaukee, WI) to the Pediatric Cardiac Thrombosis and Hemostasis Research Center (PCTHRC), Milwaukee, WI. The study was also supported in part by funding from the National Center for Advancing Translational Sciences, National Institutes of Health (8UL1TR000055; Bethesda, MD) and in part by the Audrey Hohenwalter Foundation (Milwaukee, WI).

Footnotes

Disclosures = Aoy Tomita-Mitchell and Michael E. Mitchell have significant financial interest in Ariosa Diagnostics, a molecular diagnostics company. Ariosa Diagnostics had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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