The Journal of ExtraCorporeal Technology Issue 55-4 | Page 28

178 K . Kohlsaat et al .: J Extra Corpor Technol 2023 , 55 , 175 – 184
Table 1 . Patient characteristics / demographics .
Standard prime ( n = 417 )
PBUF ( n = 704 )
P-value
Age at surgery ( months )
3 [ 25d , 6 ]
3 [ 8d , 6 ]
0.086
Age at surgery 30 days
109 ( 26 %)
216 ( 31 %)
0.12
Sex female
195 ( 47 %)
328 ( 47 %)
1.0
Premature 1
98 ( 24 %)
139 ( 20 %)
0.15
Palliative procedure
82 ( 20 %)
156 ( 22 %)
0.36
1 prior surgery with CPB
67 ( 16 %)
98 ( 14 %)
0.34
1 prior surgery without CPB
30 ( 7 %)
51 ( 7 %)
1.0
Noncardiac anomaly
115 ( 28 %)
206 ( 29 %)
0.58
Chromosomal abnormality
127 ( 30 %)
221 ( 31 %)
0.79
Syndrome
138 ( 33 %)
221 ( 31 %)
0.60
Preoperative risk factor 2
163 ( 39 %)
308 ( 44 %)
0.13
STAT mortality category 1
50 ( 12 %)
100 ( 14 %)
0.045
2
76 ( 18 %)
108 ( 15 %)
3
85 ( 20 %)
170 ( 24 %)
4
172 ( 41 %)
249 ( 35 %)
5
28 ( 7 %)
72 ( 10 %)
Not assigned
6 ( 1 %)
5 ( 1 %)
Urgency status ( n = 413 , 702 ) Elective
212 ( 51 %)
319 ( 45 %)
0.075
Urgent
195 ( 47 %)
377 ( 54 %)
Emergency
6 ( 1 %)
5 ( 1 %)
Salvage
0 ( 0 %)
1 (< 1 %)
Cardiopulmonary bypass time ( min ) ( n = 417 , 703 )
141 [ 103 , 197 ]
145 [ 104 , 198 ]
0.50
Cross-clamp time ( min ) ( n = 410 , 688 )
91 [ 54 , 128 ]
93 [ 60 , 125 ]
0.66
Any circulatory arrest time ( n = 410 , 692 )
75 ( 18 %)
128 ( 19 %)
1.0
Operating room time ( min )
407 [ 338 , 492 ]
416 [ 341 , 499 ]
0.69
Intraoperative TPS 3 1
279 ( 67 %)
491 ( 70 %)
0.55
2
122 ( 29 %)
190 ( 27 %)
3
5 ( 1 %)
11 ( 2 %)
4 not assigned
11 ( 3 %)
12 ( 2 %)
TPS at discharge 4 1
204 ( 49 %)
367 ( 52 %)
0.44
2
118 ( 28 %)
204 ( 29 %)
3
79 ( 19 %)
113 ( 16 %)
4 Not assigned
16 ( 4 %)
20 ( 3 %)
Values shown are number ( percent ) or median [ 25th , 75th percentiles ]. 1 Less than 37 gestational weeks . 2 Preoperative risk factors include : mechanical ventilation , ECMO , renal dysfunction , cardiopulmonary resuscitation , stroke , sepsis , seizures ,
hepatic dysfunction , necrotizing enterocolitis , arrhythmias , colostomy , gastrostomy tube , acidosis , hypothyroidism , bronchopulmonary dysplasia , hypo / hyper coagulable , pulmonary hypertension , adrenal insufficiency , tracheostomy , enterostomy , familial history of ischemic heart disease , endocarditis , asthma , implanted defibrillator , pacemaker , bronchiolitis , single lung , diabetes mellitus type 1 . 3 TPS is classified as Class 1 : no residua ; Class 2 : minor residua ; Class 3 : major residua . 4 TPS is classified as Class 1 : no residua ; Class 2 : minor residua ; Class 3 : major residua or reintervention for residua prior to discharge .
CPB : cardiopulmonary bypass ; Min : minutes ; PBUF : pre-bypass ultrafiltration ; STAT : Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery ; TPS : technical performance score .
of cell lysis and electrolyte composition based on duration and quality of storage . The use of PBUF provides more physiologic values for measured parameters and does so consistently . The method of PBUF used in this study intentionally did not normalize all values , especially the sodium and glucose , since some clinicians were concerned about an increased risk of edema after CPB given that the osmolality , primarily determined by sodium and glucose , decreased relative to the standard blood prime technique . Therefore , our technique of PBUF produced statistically significant improvements in measured values but not truly physiologic values ( although glucose approached clinical significance ), and this was by design . The last values on CPB were statistically similar , with the exception of glucose , and importantly there were no clinically significant differences . While the use of PBUF provided more physiologic prime values for glucose , sodium , potassium , and lactate that were statistically significant when compared to a standard prime , these advantages did not persist throughout the entire duration of the operation . The time spent on bypass was similar between groups and the median bypass time , which was over two hours , was likely sufficient for the patient ’ s compensatory mechanisms to correct most outlier values . Further ,