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. 2020 Oct 7;15:302. doi: 10.1186/s13019-020-01351-4

Table 2.

Demographics and Perioperative Characteristics of HTx Recipients Stratified by AKI

AKI (n = 33) Non-AKI (n = 62) P value
Demographic data
 Age, years 55.12 ± 12.02 53.87 ± 11.94 0.534
  < 60 19(57.58) 36(58.06) 0.964
  ≥ 60 14(42.42) 26(41.94)
 Sex, men, n (%) 31(93.94) 50(80.65) 0.083
 BMI (kg/m2) 25.29 ± 4.32 24.14 ± 3.51 0.164
 History of alcohol 8(24.24) 21(33.87) 0.335
 History of smoking 23(69.70) 40(64.52) 0.613
 Hypertension 17(51.52) 22(35.48) 0.133
 Diabetes mellitus 14(42.42) 20(32.26) 0.328
 Chronic kidney disease 10(30.3) 10(16.13) 0.109
Pretransplant characteristics
 DCM 8(24.24) 30(48.39) 0.023
 CAD 13(39.39) 14(22.58) 0.085
 Valve disease 5(15.15) 10(16.13) 0.902
 Pre-PCI 7(21.21) 4(6.45) 0.033*
 ICD implantation 0(0) 3(4.84) 0.202
 LVAD implantation 1(3.03) 0(0) 0.347
 Cardiac tumor 0(0) 1(1.61) 0.653
 EF pre-HTx (%) 28(25,31) 27(22,30) 0.359
 Creatinine (mg/dL) 1.14(1,1.27) 1.14(0.95,1.27) 0.617
 GFR (ml/min/1.73m2) 38.58(29.74,45.60) 38.05(29.68,46.23) 0.988
  < 30 9(27.27) 16(25.81) 0.0986
 30–59 21(63.64) 40(64.52)
  ≥ 60 3(9.09) 6(9.68)
Intraoperative characteristics
 CPB duration (min) 240(210,270) 209(180,240) 0.0149*
 Blood transfusion (ml) 1470(1300,2000) 1440(1000,2100) 0.630
 Infusion (ml) 2050(1350,2980) 1800(1300,2220) 0.108
 Blood loss (ml) 1600(1000,3000) 1000(1000,2000) 0.0312*
 Urine volume (ml) 1500(850,2000) 2000(1300,2700) 0.0006*
 IABP/ECMO 5(15.15) 1(1.61) 0.0102*
Postoperative characteristics
 Urine volume
  1st Day after operation 2100(1720,2965) 2200(2030,2795) 0.223
  2nd Day after operation 1850(1260,2335) 2197.5(1875,2510) 0.017*
  3rd Day after operation 2015(1260,2155) 2180(2005,2615) 0.0003*
  RRT 16(48.48) 0(0) <.0001*
  Mechanical ventilation (min) 1380(840–3780) 1020(780,2080) 0.109
  Time from operation to discharge (days) 29(24,51) 25(22,30) 0.022*
  Death 8(24.24) 7(11.29) 0.101
  Mortality in hospital 7(21.21) 4(6.45) 0.038*
  Death within 1 year 0(0) 3(4.84) 0.549
  Follow-up days 510(258,1423) 658.5(382,1162) 0.514

* P < 0.05; ANOVA was applied to the BMI variable because of its normal distribution. The Kruskal-Wallis test was used to compare other variables