Literature DB >> 34516516

Changes in hemostatic factors after kidney transplantation: A retrospective cohort study.

Kang Woong Jun1, Jinbeom Cho1, Mi Hyeong Kim2, Jeong Kye Hwang2, Sun Cheol Park3, In Sung Moon4, Ji Il Kim5.   

Abstract

ABSTRACT: Chronic kidney disease affects hemostasis in complex ways, producing both thrombotic and hemorrhagic diatheses. These changes may impact patient morbidity and mortality pre-transplantation, as well as allograft survival after kidney transplantation (KT). This study was conducted to analyze changes in hemostatic factors in the early post-KT period.We retrospectively analyzed 676 recipients of kidney allografts from December 2009 to December 2014. Patients receiving plasmapheresis pre- or post-KT, experiencing early allograft failure, or receiving anticoagulants or antiplatelet agents pre- or post-KT were excluded.Of the 367 included patients, acute (≤1 month) rejection occurred in 4.1% and delayed graft function occurred in 3.3%. Postoperative bleeding complications occurred in 7.9% of patients and thrombotic complications in 3.3%. Pre-transplantation, recipients had below normal hemoglobin, above normal d-dimer and homocysteine levels, and elevated rates of antiphospholipid antibodies. Hemoglobin increased to almost normal by postoperative day (POD) 28 (P  < .001). d-dimer increased on POD7, 14, and 28, although the values were not significantly different from pre-KT. The pattern of d-dimer changes suggested that they were a nonspecific consequence of major surgery. Homocysteine decreased to normal by POD7 (P  < .001). The percentage of patients with ≥1 prothrombotic factor was 82.0% pre-KT and only 14.2% on POD28 (P  < .001).The most of patients exhibited prothrombotic tendencies, including increased d-dimer and homocysteine, and increased prevalence of antiphospholipid antibodies before transplantation. They also had pre-transplantation anemia, suggesting a concomitant bleeding diathesis. However, most of these abnormal hemostatic factors improved or resolved after KT.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 34516516      PMCID: PMC8428698          DOI: 10.1097/MD.0000000000027179

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


Introduction

Chronic kidney disease (CKD) affects hemostasis through various complex mechanisms, and in end-stage renal disease (ESRD), patients can experience both thrombotic complications and bleeding diathesis.[ Hemorrhagic diathesis is attributed to the accumulation of protein degradation products, leading to reduced platelet production, platelet dysfunction, vessel wall damage, and deficiency of clotting factors II, V, IX, and X. ESRD-associated anemia also contributes to platelet dysfunction.[ Hypercoagulability is attributed to changes in the coagulation cascade, with increased fibrinogen, plasma tissue factor, clotting factors XIIa and VIIa, activated protein C (PC), thrombin-antithrombin complexes, d-dimers, and prothrombin fragments, as well as reduced antithrombin III (AT III) activity.[ The effects of kidney transplantation (KT) on coagulation profiles and postoperative thrombotic complications are controversial. KT is a major operation, which can increase thromboembolic complications in CKD patients.[ Deira et al[ reported significantly decreased AT III and PC activity on the first postoperative day (POD), suggesting an increased thrombosis risk. Other studies reported correction of hypercoagulability after KT.[ This study was performed to characterize prothrombotic factor activity in patients with CKD before and after KT, and to analyze changes in these factors after KT.

Materials and methods

This retrospective single-center study was approved by the institutional review board of Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea (KC20RISI0792). From December 2009 to December 2014, 676 individuals with CKD underwent KT at our institute. We excluded 309 patients meeting these criteria: plasmapheresis before or after KT; early allograft failure (≤1 month); or anticoagulant or antiplatelet agents ≤1 month before or after (eg, newly diagnosed coronary arterial disease (CAD), symptomatic venous thromboembolism (VTE), and so on after KT (Fig. 1). Thus, 367 recipients were included in the study.
Figure 1

Flow sheet of patients’ selection.

Flow sheet of patients’ selection.

Data collection

We collected the following information from electronic medical records: demographics, CKD etiology, type of renal replacement therapy (RRT), number of mismatched human leukocyte antigens, type of immunosuppressive agents, episodes of acute rejection, or delayed graft function (DGF); defined as an acute kidney injury, which necessitates a dialysis intervention in the first week of kidney transplantation; within a month post–KT, and bleeding/thrombotic events. Blood samples for coagulation factors were collected the day before transplantation and on POD7, 14, and 28. The following hemostatic parameters were prospectively analyzed (reference ranges in parentheses): hemoglobin (12–16 g/dL); platelet count (140–400 × 109/L); prothrombin time (70%–125.7%); activated partial thromboplastin time (APTT; 21.9–36.7 seconds); international normalized ratio (0.89–1.2); d-dimer (≤0.6 mg/dL); fibrinogen (160–350 mg/dL); protein S (PS) activity (60%–120%); PC activity (70%–130%); AT III activity (80%–120%); homocysteine (3–15 μmol/L); lupus anticoagulant (LA; ≤1:3 on screening test/confirmation test); anticardiolipin (aCL) IgG (<10 U/mL); aCL IgM and IgA (absent on qualitative test); clotting factor VIII (60%–150%); and clotting factor IX (60%–150%). Data regarding inherited disorders, such as factor V Leiden mutation and prothrombin G20210A mutations, and platelet adhesion-aggregation tests were too scarce to analyze in this study. Prothrombotic factors were defined as follows: decreased PS activity; decreased PC activity; decreased AT III activity; increased homocysteine; presence of LA; presence of aCL (IgG, IgA, or IgM); increased factor VIII level; or increased factor IX level.

Postoperative imaging

Patients at our institute routinely undergo color duplex ultrasound on POD1, 7, 14, and 28 and magnetic resonance angiography on POD7 or 14 to evaluate the condition of the graft kidney (perfusion and renal artery resistive index) and the presence of peri-graft fluid (hematoma or lymphocele) or hydronephrosis. Magnetic resonance angiography is performed on POD7 in cases with multiple donor renal arteries or suboptimal environments of the donor renal artery or recipient iliac artery, such as heavy calcifications or atheroma of the artery. To detect lower extremity deep DVT, we perform bilateral, whole-leg color duplex ultrasound on POD7, 14, and 28, or at any time when clinically indicated.[ When bleeding is suspected (eg, suddenly decreased blood pressure and hemoglobin or bloody discharge in the Jackson-Pratt drains [Cardinal Health, Waukegan, IL]), we perform nonenhanced abdominal computed tomography to assess hematoma around the allograft kidney.

Immunosuppressive regimen

The typical immunosuppressive regimen at our institute was described previously.[ All kidney recipients receive basiliximab (Simulect, Novartis Pharmaceuticals Co., Basel, Switzerland) 20 mg on POD0 and 4 or antithymocyte globulin (ATG) (Thymoglobulin, Sanofi Genzyme, Cambridge, MA) 1.25 mg/kg from POD0 to 4 as induction immunosuppressants (in case of highly sensitized patients or expanded criteria deceased donor). Maintenance immunosuppression consists of tacrolimus (Tacrobell, Chong Kun Dang Pharmaceuticals Co., Seoul, Korea; Prograf, Astellas Pharma Inc., Toyama, Japan), corticosteroid, and either mycophenolate mofetil (Cellcept, Hoffmann-La Roche Inc., Nutley, NJ) or mycophenolate sodium (Myfortic, Novartis Pharmaceuticals Co.).

Surgery

Recipient surgery was performed through an extraperitoneal “hockey stick” incision with creation of standard vascular anastomoses and extravesical ureteroneocystostomy. JP drains remained in the extraperitoneal space until drainage was <50 mL/day for 2 consecutive days.

Statistical analysis

Summary statistics are presented as frequency (percentage) for categorical variables and median (range) for continuous variables. χ2 and Fisher exact test were used to compare categorical variables. Kruskal-Wallis test was used to compare continuous variables because the normality assumption was not satisfied with the Kolmogorov-Smirnov test. Repeated measures data were analyzed using a generalized linear mixed model to compensate for missing data, and distribution conditions for each variable are expressed as mean ± standard error. Bonferroni correction was used because of multiple comparisons. Two-sided P values <.05 were considered statistically significant. All analyses were performed using SAS 9.4 software (SAS Institute, Inc., Cary, NC).

Results

Table 1 summarizes demographics and short-term (≤1 month) outcomes post-KT of the 367 patients in this study. Deceased-donor KT accounted for 36.8% (135/367) of transplants, acute rejection occurred in 4.1% (15/367) of patients, and DGF occurred in 3.3% (12/367) of patients. All patients with DGF received kidneys from deceased donors.
Table 1

Demographic characteristics and surgical outcomes according to pre-operative renal replacement therapy.

Total (n = 367)HD (n = 209)PD (n = 90)None (n = 68) P
Age, y44.0 (32.3–55.8)43.8 (31.9–55.7)45.9 (35.2–55.7)42.5 (39.0–46.0).13
Sex (male/female)220/147127/8256/3437/31.57
History of smoking (n)35 (9.5)20 (9.6)9 (10)6 (8.8).97
BMI, kg/m223.0 (19.5–26.5)22.4 (19.2–28.6)22.8 (21.7–26.7)22.7 (19.0–26.4) <.05
Cause of ESRD (n) <.05
CGN137 (37.3)74 (35.4)33 (36.7)30 (44.1)
 DM42 (11.4)26 (12.4)12 (13.3)4 (5.9)
 Hypertension74 (20.2)45 (21.4)26 (28.9)3 (4.4)
 Others114 (31.1)64 (30.6)19 (21.1)31 (45.6)
Type of donor (n) < .05
 Living232 (63.2)128 (61.2)37 (41.1)67 (98.5)
 Deceased135 (36.8)81 (38.8)53 (58.9)1 (1.5)
No. of KT (n) <.05
 1st330 (89.92)185 (88.52)87 (96.67)58 (85.29)
 2nd <37 (10.08)24 (11.48)3 (3.33)10 (14.71)
Mismatch no. of HLA (n).41
034 (9.3)20 (9.6)6 (6.7)8 (11.8)
 112 (3.3)7 (3.4)05 (7.4)
 265 (17.7)37 (17.7)16 (17.8)12 (17.7)
 395 (26)51 (24.4)25 (27.8)19 (27.9)
 467 (18.3)43 (20.6)17 (18.9)7 (10.3)
 565 (17.7)35 (16.8)19 (21.1)11 (16.2)
 629 (7.9%)16 (7.7)7 (7.8%)6 (8.8%)
Acute rejection within a month (n)15 (4.1%)13 (6.2%)1 (1.1%)1 (1.5%).07
Delayed graft function (n)12 (3.3%)7 (3.3%)5 (5.6%)0 (0).15
Demographic characteristics and surgical outcomes according to pre-operative renal replacement therapy. Table 2 shows prothrombotic factors pre- and post-KT in each RRT subgroup (hemodialysis [HD], peritoneal dialysis [PD], and preemptive). Pre-transplantation, hemoglobin was below normal and d-dimer and homocysteine levels were above normal in all subgroups. Fibrinogen was within normal range, except in PD which was above normal. Platelet counts, prothrombin time, APTT, fibrinogen, PS activity, and PC activity were normal. The following factors significantly differed according to dialysis modality pre-transplantation: hemoglobin, and D-dimer were higher in HD patients than PD patients; and fibrinogen, PS activity, PC activity, AT III, and homocysteine were higher in PD patients than HD patients (P < .05). After KT, most prothrombotic factors differed significantly from pre-KT values (Table 2). Hemoglobin decreased from 10.5 ± 1.7 g/dL pre-KT to 9.5 ± 1.3 mg/dL and 9.6 ± 1.2 g/dL on POD7 and 14, but rose to almost normal on POD28 (11.4 ± 1.3 g/dL) (P < 0.05). d-dimer was increased pre-KT (1.3 ± 1.4 mg/dL) and remained above normal on POD7, 14, and 28 (2.7 ± 2.1, 2.0 ± 1.9, and 1.7 ± 1.5 mg/dL, respectively), with no significant differences from pre-KT. Homocysteine decreased from 21.9 ± 14.5 μmol/L pre-KT to normal on POD7, 14, and 28 (12.4 ± 7.8, 12.4 ± 6.8, and 14.5 ± 6.0 μmol/L, respectively) (P < .05). For the entire group, fibrinogen remained in the normal range pre- and post-KT. However, in the PD subgroup, fibrinogen was increased pre-KT (386.5 ± 78.7 mg/dL) and decreased on POD7, 14, and 28 (242.7 ± 72.7, 286.3 ± 93.9, and 283.1 ± 80.5 mg/dL, respectively) (P < .05). PC activity was higher post-KT than pre-KT but remained in the normal range throughout the study in all subgroups (P < .05). LA and aCL rates were lower at POD28 than pre-KT (7.1% vs 0.8% and 13.6% vs 4.0%, respectively) (P < .05). Elevated factor VIII rates did not differ throughout the study. Prevalence of increased factor IX was significantly higher on POD7, 14, and 28 than pre-KT (P < .05).
Table 2

Comparison of the prothrombotic factors before and after kidney transplantation in each patient group.

Pre-transplantation7th POD14th POD28th POD P
Hemoglobin, g/dLTotal10.5 ± 1.79.5 ± 1.39.6 ± 1.211.4 ± 1.3 <.05
HD10.9 ± 1.89.6 ± 1.39.5 ± 1.311.3 ± 1.3 <.05
PD10.3 ± 1.79.3 ± 1.29.7 ± 1.311.4 ± 1.3 <.05
None9.8 ± 1.39.3 ± 1.19.4 ± 1.111.4 ± 1.3 <.05
P < .05P = .29P = .55P = .74
Platelet (×109/L)Total185.6 ± 59161.6 ± 57183.2 ± 60.9214.5 ± 72.6 <.05
HD179.7 ± 56.4162.9 ± 61.4183.5 ± 64.5211.8 ± 75.4 <.05
PD195.6 ± 65.3155.7 ± 56.6182.7 ± 62.3214.3 ± 74.3 <.05
None190.5 ± 56.3165.1 ± 41.5182.9 ± 47.1223.4 ± 61.2 <.05
P = .10P = .24P = .95P = .23
PT (%)Total91.6 ± 13.284.6 ± 15.496.7 ± 13.6110.4 ± 17.1 < .05
HD92.4 ± 12.684.3 ± 15.696.9 ± 13.4111.7 ± 16.7 <.05
PD93.2 ± 14.985 ± 15.895.3 ± 15.3106 ± 20.3 <.05
None87.2 ± 11.585 ± 14.397.8 ± 11.7112.2 ± 11.8 <.05
P < .05P = .70P = .77P = .09
APTT, sTotal26.9 ± 5.925.8 ± 5.823.9 ± 522.5 ± 6.1 <.05
HD27.3 ± 6.826.4 ± 6.323.9 ± 4.222.4 ± 4 <.05
PD26 ± 4.325.1 ± 5.324.4 ± 7.223.5 ± 10.2 <.05
None27 ± 4.425.1 ± 4.823.2 ± 3.921.5 ± 2.8 <.05
P = .07P <.05P = .51P = .38
d-dimer, mg/dLTotal1.3 ± 1.42.7 ± 2.12 ± 1.91.7 ± 1.5.24
HD1.1 ± 0.82.7 ± 22.1 ± 2.21.6 ± 1.6.24
PD1.0 ± 0.92.4 ± 2.41.8 ± 1.41.7 ± 1.3.06
None1.3 ± 13.1 ± 1.82 ± 1.21.6 ± 1.1.31
P < .05P <.05P = .25P = .30
Fibrinogen, mg/dLTotal322.4 ± 89.3215.3 ± 70.3241.3 ± 92.2264 ± 84.2 < .05
HD295.9 ± 80.6207.4 ± 65.9230.9 ± 86.3266.2 ± 85.4 <.05
PD386.5 ± 78.7242.7 ± 72.7286.3 ± 93.9283.1 ± 80.5 <.05
None325.3 ± 88.1205.4 ± 72218.5 ± 90.4234.9 ± 80.3 <.05
P < .05P < .05P < .05P =.05
PS activity (%)Total90.9 ± 32.166.2 ± 22.476.5 ± 26.293.8 ± 37.89
HD86.9 ± 30.765.2 ± 2276.2 ± 25.293.4 ± 46.3.37
PD98.3 ± 33.165.6 ± 23.876.7 ± 27.795.5 ± 22.9.28
None93.4 ± 33.569.4 ± 22.176.8 ± 27.492.8 ± 21.1.76
P < .05P = .57P = .98P = .67
PC activity (%)Total100.6 ± 22.7102.4 ± 24.8119.6 ± 26127.6 ± 23.1 <.05
HD99.2 ± 21.4101 ± 24.3119.1 ± 26.9124.3 ± 25.5 <.05
PD108.2 ± 24.5102.7 ± 27.9119 ± 23.6129.3 ± 20.9 <.05
None94.7 ± 21.6105.8 ± 22.6121.7 ± 26.6134.2 ± 17.5 <.05
P < .05P = .45P = .57P = .21
ATIII activityTotal87 ± 13.988.1 ± 14101.4 ± 14.8109.9 ± 13.5 <.05
(%)HD84.2 ± 13.788.5 ± 13101.8 ± 14.6110.5 ± 10.1 <.05
PD91.9 ± 13.388.1 ± 15.199 ± 16.6105.5 ± 20.7 <.05
None89.2 ± 13.187 ± 15.5103 ± 13.2113.8 ± 7.8 <.05
P = .49P = .80P = .41P = .33
Homocystein, μmol/LTotal21.9 ± 14.512.4 ± 7.812.4 ± 6.814.5 ± 6 <.05
HD19.6 ± 1312.3 ± 8.712.6 ± 7.814.1 ± 4.8 <.05
PD23.3 ± 1212.7 ± 6.411.3 ± 5.514.4 ± 7.9 <.05
None27.2 ± 19.712.4 ± 6.713.1 ± 5.415.7 ± 6.2 <.05
P <.05P = .27P = .11P = .45
LA (%)Total7.12.10.40.8 <.05
HD7.31.200 <.05
PD94.41.53.3.18
None4.41.700.07
P = .54P = .28P = .45P = .45
aCL (%)Total13.610.08.04.0 <.05
HD15.512.410.82.9 <.05
PD11.95.85.76.7.24
None10.38.53.33.9.12
P = .49P = .29P = .14P = .83
Factor VIIITotal34.45061.833.3.06
HD2533.366.750.13
PD508066.70.42
None3040500.54
P = .53P = .07P = .74P = .99
Factor IXTotal6.39.435.333.3 < .05
HD0033.350 <.05
PD1010%250.37
None1020%500.07
P = .51P = .27P = .55P = .99
Comparison of the prothrombotic factors before and after kidney transplantation in each patient group. Table 3 presents the comparison between basiliximab and ATG induction group. Hemoglobin decreased from 10.5 ± 1.7 g/dL versus 10.8 ± 1.6 g/dL pre-KT to 9.5 ± 1.3 g/dL versus 8.9 ± 1.4 g/dL POD7 (P < .05), 9.6 ± 1.2 g/dL versus 9.1 ± 1.6 g/dL on POD14 (P < .05) and return to normal after POD28 (P < 0.05). Platelet counts decreased from 186.3 ± 59.5 (x109/L) versus 180.3 ± 54.8 (×109/L) pre-KT (P < .05) to 166.4 ± 55.8 (×109/L) versus 126.3 ± 53.9 (×109/L) on POD7 (P < .05) and return to normal after POD14, respectively (P < .05). These decrements in hemoglobin and platelet counts were more pronounced in ATG groups comparing with basiliximab ones, and platelet counts were lower in ATG groups throughout the study period compared to basiliximab ones after KT (126.3 ± 53.9 (×109/L) versus 166.4 ± 55.8 (×109/L) POD7; 157.8 ± 53.2 (109/L) versus 186.7 ± 61.2 (×109/L) POD14; 187.7 ± 80.0  (×109/L) versus 218.2 ± 70.9 (×109/L) POD28, respectively) (P < .05). d-dimer was increased in both basiliximab and ATG groups after KT; however, there was no significant difference (3.0 ± 3.0 mg/dL vs 2.6 ± 1.9 mg/dL POD7 [P > .05], 2.5 ± 2.7 mg/dL vs 2.0 ± 1.7 mg/dL POD14 [P > .05], 1.7 ± 1.5 mg/dL vs 1.4 ± 1.3 mg/dL POD28 [P > .05]).
Table 3

Comparison of the prothrombotic factors before and after kidney transplantation between basiliximab and ATG induction group.

Basiliximab (N = 323)ATG (N = 44)
nMean ± SD or n (%) P for within group (a) nMean ± SD or n (%) P for within group (a) P for between group
Hemoglobin, g/dL0.07 (c)
 Pre32210.5 ± 1.74410.8 ± 1.60.31 (d)
 7th POD3239.5 ± 1.3<.05448.9 ± 1.4<.05<0.05 (d)
 14th POD3239.6 ± 1.2<.05449.1 ± 1.6<.05<0.05 (d)
 28th POD32311.4 ± 1.3<.054411.0 ± 1.50.420.06 (d)
P for time within group (b)<.05<.05
Platelet (×109/L)<.05 (c)
 Pre323186.3 ± 59.544180.3 ± 54.80.53 (d)
 7th POD323166.4 ± 55.8<.0544126.3 ± 53.9<.05<.05 (d)
 14th POD323186.7 ± 61.20.9144157.8 ± 53.2<.05<.05 (d)
 28th POD323218.2 ± 70.9<.0544187.7 ± 80.00.45<.05 (d)
P for time within group<.05<.05
PT (%)0.06 (c)
 Pre32391.2 ± 13.24494.8 ± 12.90.53 (d)
 7th POD31884.9 ± 15.0<.054482.7 ± 18.2<.05<.05 (d)
 14th POD29996.9 ± 13.3<.054495.0 ± 15.30.96<.05 (d)
 28th POD268110.7 ± 16.5<.0544108.6 ± 20.3<.05<.05 (d)
P for time within group<.05<.05
APTT, s<.05 (c)
 Pre32326.9 ± 6.04426.9 ± 5.30.99 (d)
 7th POD31825.7 ± 6.0<.054426.7 ± 4.80.800.33 (d)
 14th POD29823.7 ± 4.1<.054425.3 ± 9.10.13<.05 (d)
 28th POD26822.1 ± 3.8<.054425.2 ± 12.90.15<.05 (d)
P for time within group<.0010.318
d-dimer, mg/dL<.05 (c)
 Pre3191.4 ± 1.4440.9 ± 0.8<.05 (d)
 7th POD3192.6 ± 1.9<.05443.0 ± 3.0<.050.28 (d)
 14th POD3162.0 ± 1.7<.05442.5 ± 2.7<.050.10 (d)
 28th POD3021.7 ± 1.5<.05411.4 ± 1.3<.050.37 (d)
P for time within group<.05<.05
Fibrinogen, mg/dL0.47 (c)
 Pre220321.9 ± 91.143324.9 ± 80.50.98 (d)
 7th POD249218.3 ± 72.5<.0544198.4 ± 53.1<.050.09 (d)
 14th POD251242.6 ± 94.7<.0544234.2 ± 76.8<.050.56 (d)
 28th POD93266.6 ± 86.4<.0537257.6 ± 79.1<.050.70 (d)
P for time within group<.05<.05
PS activity (%)0.90 (c)
 Pre32091.3 ± 32.94387.9 ± 25.50.48 (d)
 7th POD24767.2 ± 22.7<.054460.5 ± 20.2<.050.09 (d)
 14th POD25177.4 ± 26.1<.054471.1 ± 26.1<.050.16 (d)
 28th POD9293.8 ± 26.10.433593.7 ± 57.10.490.80 (d)
P for time within group<.05<.05
PC activity (%)0.70 (c)
 Pre317101.1 ± 23.04396.7 ± 19.90.23 (d)
 7th POD247103.0 ± 24.60.074398.9 ± 26.30.560.211 (d)
 14th POD251120.9 ± 25.9<.0544112.2 ± 25.8<.050.029 (d)
 28th POD92129.2 ± 23.8<.0535123.4 ± 21.0<.050.040 (d)
P for time within group<.05<.05
ATIII activity (%)<0.05 (c)
 Pre32087.2 ± 14.14385.6 ± 12.20.472 (d)
 7th POD24887.8 ± 14.10.8324489.4 ± 13.50.1170.411 (d)
 14th POD252101.9 ± 14.6<.054498.4 ± 16.0<.050.218 (d)
 28th POD94110.6 ± 12.8<.0537108.0 ± 15.2<.050.117 (d)
P for time within group<.05<.05
Homocystein, μmol/L0.607 (c)
 Pre32022.2 ± 14.94420.3 ± 11.70.42 (d)
 7th POD24612.3 ± 7.9<.054413.1 ± 6.9<.050.51 (d)
 14th POD24712.3 ± 6.9<.054313.0 ± 6.5<.050.57 (d)
 28th POD8814.2 ± 5.1<.053515.2 ± 7.8<.050.58 (d)
P for time within group<.05<.05
LA (%)
 Pre32121 (6.5)435 (11.6)0.21 (f)
 7th POD2456 (2.5)<.05440 (0)
 14th  POD2461 (0.4)<.05430 (0)
28th POD861 (1.2)0.08360 (0)
P for time within group<.05
aCL (%)0.11 (c)
 Pre30837 (12.0)4411 (25.0)<.05 (d)
 7th POD24625 (10.2)0.203444 (9.1)<.050.97 (d)
 14th POD24521 (8.6)<.05432 (4.7)<.050.53 (d)
 28th POD893 (3.4)<.05362 (5.6)<.050.33 (d)
P for time within group<.05<.05
Factor VIII (%)0.68 (c)
 Pre258 (32.0)73 (42.9)0.59 (d)
 7th POD2513 (52.0)0.07773 (42.9)0.9570.69 (d)
 14th POD2616 (61.5)<.0585 (62.5)0.1610.98 (d)
 28th POD31 (33.3)0.99600 (0)
P for time within group0.080.38
Factor IX (%)0.49 (c)
 Pre251 (4.0)71 (14.3)0.37 (d)
 7th POD252 (8.0)0.37971 (14.3)0.9730.64 (d)
 14th POD2610 (38.5)<.0582 (25.0)0.6320.50 (d)
 28th POD31 (33.3)0.27300 (0)
P for time within group<.050.62
Comparison of the prothrombotic factors before and after kidney transplantation between basiliximab and ATG induction group. Table 4 presents the comparison between LDKT and DDKT groups. Hemoglobin and platelet counts were lower in DDKT group throughout the study period compared to LDKT group. Hemoglobin decreased from 10.1 ± 1.6 g/dL versus 11.3 ± 1.8 g/dL pre-KT to 9.7 ± 1.3 g/dL versus 9.1 ± 1.2 g/dL POD7, 9.7 ± 1.2 g/dL versus 9.3 ± 1.2 g/dL on POD14 and recovered normal range in both groups after POD28 (P < .05). Platelet counts decreased from 185.0 ± 61.8 (×109/L) vs 185.0 ± 61.8 (×109/L) pre-KT to 173.3 ± 56.4 (×109/L) and 141.4 ± 52.5 (109/L) on POD7 (P < .05) and were restored after POD14, respectively. These decrements in hemoglobin and platelet were steeper in DDKT group (P < .05). d-dimer was increased in both LDKT and DDKT groups after KT, and except for POD7 when the LDKT groups showed higher level of d-dimer (2.9 ± 2.1 mg/dL vs 2.2 ± 1.9 mg/dL, P < .05), there was no significant difference between 2 groups during the study period.
Table 4

Comparison of the prothrombotic factors before and after kidney transplantation between LDKT and DDKT group.

LDKT (N = 232)DDKT (N = 135)
nMean ± SD or n (%) P for within group (a) nMean ± SD or n (%) P for within group (a) P for between group
Hemoglobin, g/dL<.05 (c)
 Pre23210.1 ± 1.613411.3 ± 1.8<.05 (d)
 7th POD2329.7 ± 1.3<.051359.1 ± 1.2<.05<.05 (d)
 14th POD2329.7 ± 1.2<.051359.3 ± 1.2<.05<.05 (d)
 28th POD23211.5 ± 1.3<.0513511.2 ± 1.40.680.06 (d)
P for time within group (b)<.05<.05
Platelet (×109/L)<.05 (c)
 Pre232185.0 ± 61.8135186.6 ± 54.00.80 (d)
 7th POD232173.3 ± 56.4<.05135141.4 ± 52.5<.05<.05 (d)
 14th POD232185.9 ± 61.50.81135178.5 ± 59.90.090.26 (d)
 28th POD232224.3 ± 71.0<.05135197.8 ± 72.5<.05<.05 (d)
P for time within group<.05<.05
PT (%)<.05 (c)
 Pre23290.8 ± 13.013593.1 ± 13.40.11 (d)
 7th POD22786.9 ± 13.1<.0513580.8 ± 18.1<.05<.05 (d)
 14th POD21598.3 ± 13.8<.0512894.0 ± 12.80.41<.05 (d)
 28th POD191113.8 ± 14.7<.05121105.0 ± 19.1<.05<.05 (d)
P for time within group<.05<.05
APTT, s<.05 (c)
 Pre23227.4 ± 6.813526.1 ± 3.9<.05 (d)
 7th POD22725.6 ± 4.6<.0513526.2 ± 7.40.820.34 (d)
 14th POD21523.5 ± 4.1<.0512724.6 ± 6.2<.050.06 (d)
 28th POD19121.7 ± 3.7<.0512123.8 ± 8.4<.05<.001 (d)
P for time within group<.05<.05
d-dimer, mg/dL<.05 (c)
 Pre2301.4 ± 1.41331.2 ± 1.20.19 (d)
 7th POD2282.9 ± 2.1<.051352.2 ± 1.9<.05<.05 (d)
 14th POD2272.0 ± 1.8<.051332.0 ± 2.0<.050.92 (d)
 28th POD2171.7 ± 1.6<.051261.6 ± 1.3<.050.99 (d)
P for time within group<.05<.05
Fibrinogen, mg/dL<.05 (c)
 Pre171323.2 ± 87.492320.9 ± 93.10.90 (d)
 7th POD184214.9 ± 72.5<.05109216.0 ± 66.7<.050.97 (d)
 14th POD185230.1 ± 93.1<.05110260.3 ± 87.8<.05<.05 (d)
 28th POD75255.2 ± 84.2<.0555276.1 ± 83.4<.050.20 (d)
P for time within group<.05<.05
PS activity (%)0.25 (c)
 Pre23089.3 ± 31.913393.6 ± 32.20.20 (d)
 7th POD18466.5 ± 21.9<.0510765.6 ± 23.5<.050.78 (d)
 14th POD18577.0 ± 24.1<.0511075.5 ± 29.4<.050.63 (d)
 28th POD7696.1 ± 410.0715190.3 ± 30.30.5250.28 (d)
P for time within group<.05<.05
PC activity (%)0.11 (c)
 Pre23099.9 ± 21.5130101.7 ± 24.70.46 (d)
 7th POD183104.7 ± 23.8<.0510798.4 ± 26.10.420.05 (d)
 14th POD185121.0 ± 26.2<.05110117.2 ± 25.7<.050.27 (d)
 28th POD76129.0 ± 24.4<.0551125.6 ± 21.2<.050.27 (d)
P for time within group<.05<.05
ATIII activity (%)0.26 (c)
 Pre23088.2 ± 13.713385.1 ± 13.9<.05 (d)
 7th POD18389.7 ± 14.10.2710985.3 ± 13.50.94<.05 (d)
 14th POD186103.5 ± 14.4<.0511097.9 ± 14.9<.05<.05 (d)
 28th POD76112.9 ± 8.5<.0555105.7 ± 17.6<.05<.05 (d)
P for time within group<.05<.05
Homocystein, μmol/L0.05 (c)
 Pre23021.9 ± 15.813422.0 ± 12.10.973 (d)
 7th POD18210.9 ± 7.5<.0510815.0 ± 7.6<.05<.05 (d)
 14t POD18311.2 ± 4.6<.0510714.3 ± 9.3<.05<.05 (d)
 28th POD7113.9 ± 5.3<.055215.3 ± 6.8<.05<.05 (d)
P for time within group<.05<.05
LA (%)
 Pre23112 (5.2)13314 (10.5)0.06 (g)
 7th POD1823 (1.7)0.071073 (2.8)0.67 (f)
 14th POD1831 (0.6)<.051060 (0)
 28th POD711 (1.4)0.20510 (0)
P for time within group<.05
aCL (%)0.110 (c)
 Pre22530 (13.3)12718 (14.2)<.05 (d)
 7th POD18223 (12.6)0.201086 (5.6)0.0190.97 (d)
 14th POD18218 (9.9)0.101065 (4.7)0.0040.53 (d)
 28th POD733 (4.1)<.05522 (3.9)0.0180.33 (d)
 p for time within group<.05<.05
Factor VIII (%)0.117 (c)
 Pre217 (33.3)114 (36.4)0.83 (d)
 7th POD2110 (47.6)0.492114 (54.6)0.0190.08 (d)
 14th POD2010 (50.0)0.171411 (78.6)0.0120.17 (d)
 28th POD10 (0)<.0521 (50.0)0.0420.70 (d)
P for time within group0.08<.05
Factor IX (%)
 Pre211 (4.8)111 (9.1)>.99 (f)
 7th POD212 (9.5)111 (9.1)>.99>.99 (f)
 14th POD207 (35.0)145 (35.7)0.19>.99 (f)
 28th POD10 (0)21 (50.0)0.19
P for time within group0.39
Comparison of the prothrombotic factors before and after kidney transplantation between LDKT and DDKT group. Table 5 shows patients with ≥1 positive prothrombotic factor pre- and post-KT in each RRT subgroup. Pre-transplant, the prevalence of ≥1 positive prothrombotic factor was 82.0%. The prevalence decreased on POD7, 14, and 28 to 55.3%, 29.7%, and 14.2%, respectively (P < .05). The same trend occurred in all RRT subgroups, although the differences were not statistically significant. The number of positive (abnormal) prothrombotic factors per patient was 1.4 ± 0.9 pre-KT and decreased significantly post-KT to 0.9 ± 0.1 on POD7, 0.4 ± 0.6 on POD14, and 0.2 ± 0.6 on POD28 (P < .05). Similar changes were noted in each RRT subgroup, which was statistically significant on multiple comparison analysis (P < .05) (Table 6).
Table 5

Patients with ≥1 positive prothrombotic factors before and after kidney transplantation in each patients group.

Pre-transplantation7th POD14th POD28th POD P
Total (n = 367)301 (82)203 (55.3)109 (29.7)52 (14.2) <.05
HD (n = 209)163 (78)114 (54.6)63 (30.1)24 (11.5) <.05
PD (n = 90)78 (86.7)48 (53.3)23 (25.6)15 (16.7) <.05
None (n = 68)60 (88.2)41 (60.3)23 (33.8)13 (19.1) <.05
P .067.646.518.215
Table 6

Number of positive prothrombophilic factors per each patient before and after kidney transplantation in each patients group.

Pre-transplantation7th POD14th POD28th POD P
Total (n = 367)1.4 ± 0.90.9 ± 10.4 ± 0.60.2 ± 0.4<.05
HD (n = 209)1.4 ± 10.8 ± 0.90.4 ± 0.60.1 ± 0.4<.05
PD (n = 90)1.4 ± 0.81 ± 1.10.3 ± 0.60.2 ± 0.5<.05
None (n = 68)1.3 ± 0.81 ± 1.10.4 ± 0.70.2 ± 0.4<.05
P .89.58.58.21
Patients with ≥1 positive prothrombotic factors before and after kidney transplantation in each patients group. Number of positive prothrombophilic factors per each patient before and after kidney transplantation in each patients group.

Discussion

Patients with CKD have an increased risk of both thrombosis and bleeding. The main reported hemostatic abnormalities in CKD are increased tissue factor, von Willebrand factor, factor XIIa, factor VIIa, activated PC, fibrinogen, and plasminogen activator inhibitor-1, and reduced tissue plasminogen activator.[ As CKD advances, platelet dysfunction and hemorrhagic complications appear, with mucocutaneous bleeding, gastrointestinal bleeding, and, less frequently, hemothorax, hemoperitoneum, and intracranial or retroperitoneal bleeding.[ It is unclear why bleeding problems predominate in one patient, whereas thrombotic complications occur in others.[ Previous reports of hypercoagulability in patients with CKD have reported varying mechanisms. We examined eight hemostatic factors previously reported as possible contributors to thrombosis after KT. At least one of these prothrombotic factors was present in 82.0% of our study population pre-KT, with 1.4 ± 0.9 factors per patient.[ Patients with CKD exhibit abnormalities of various proteins and amino acids, including homocysteine.[ Plasma homocysteine levels are inversely related to glomerular filtration rate, with hyperhomocysteinemia observed in up to 85% to 100% of people with ESRD.[ Elevated homocysteine levels are associated with increased risk of venous and arterial thrombosis.[ In our study, d-dimer and homocysteine were increased above normal pre-transplant, suggesting a hypercoagulable state. Antiphospholipid antibodies (APLAs), including aCL, anti-β2GP-1 antibody, and LA, also promote thrombosis. LA is more strongly associated with increased thrombotic risk than aCL or anti-B2GP-1 antibody, and a “triple positive” profile (all 3 APLAs) confers the highest risk.[ In one study, the prevalence of LA, IgG aCL, IgM aCL, and polyvalent aCL in a healthy population was 3.6%, 4.6%, 4.6%, and 5.5%, respectively.[ In a general population study, positive LA, aCL, and anti-β2GP-1 antibody rates were 7%, 15%, and 11%, respectively, at initial testing and 5%, 9%, and 13% at 12-week retesting.[ Our pre-KT rates were 7.1% for LA and 10.5% for aCL, which were higher than in the healthy population. Although false-positive LA may occur with oral anticoagulants, we excluded patients receiving this therapy.[ Our pre-KT prevalence of elevated factor VIII was 34.4%, which was likewise higher than the 11% rate reported in a normal population.[ Uremia is strongly associated with platelet dysfunction, increasing the risk of hemorrhagic events. The pathogenesis of platelet dysfunction in uremia is multifactorial: platelet-platelet (aggregation) and platelet-vessel wall (adhesion) interactions appear crucial.[ In this study, platelet counts decreased from 185.6 ± 59 (×109/L) pre-transplant to nadir (161.6  ± 57 [×109/L]) at POD7, then recovered to normal at POD28 as uremia and anemia improved. Anemia plays a role in platelet dysfunction, as platelets are more dispersed, impairing their adherence to endothelium. Furthermore, red blood cells enhance platelet function by releasing adenosine diphosphate, inactivating prostacyclin, and scavenging nitric oxide; thus, their reduced number in anemia contributes to platelet dysfunction.[ Erythropoietin to correct anemia in CKD reduces the risk of uremic bleeding.[ In this study, pre-KT hemoglobin was decreased below normal in all RRT subgroups suggesting an increased hemorrhagic risk in ESRD patients. Several reports have suggested that RRT might promote hypercoagulability in patients with CKD. As compared to HD, PD is known to increase the thrombotic tendency via increased levels of platelets, fibrinogen, clotting factor VII, and plasminogen activator inhibitor-1.[ Inversely, HD appears to activate the coagulation cascade by reducing coagulation inhibitors, such as PC, PS, and AT III.[ In the present study, the HD group had elevated d-dimer and decreased PS, PC, and AT III activity levels compared to the PD group, which might indicate a decline in the circulating levels of coagulation inhibitors. By contrast, the PD group had higher levels of homocysteine and fibrinogen than the HD group. The increased levels of fibrinogen observed in PD patients compared to those in HD patients or nondialyzed patients. These results might be explained by the chronic peritoneal irritation that can occur during dialysis, as fibrinogen can act as an acute-phase protein.[ The percentage of patients with ≥1 positive prothrombotic factor decreased from 82.0% pre-KT to 14.2% by POD28. In patients with ≥1 positive prothrombotic factor before transplantation, 9.0% developed bleeding complications and 3.3% had thrombotic complications post-transplantation. However, these rates were not significantly different from those in patients without these factors. However, we analyzed the number of positive prothrombotic factors at each clinical course. The number of prothrombotic decreased from 1.4 ± 0.9 pre KT to 0.2 ± 0.4 by POD28 which was significant. These results also support improvement in hemostatic status after KT. Plasma homocysteine levels, which were above normal pre-KT, normalized by POD7 and remained within the normal range through POD28. These changes were expected because homocysteine levels are highly dependent on glomerular filtration rate. As increased plasma homocysteine levels are an independent risk factor for cardiovascular disease and thromboembolic events,[ our results suggest that the risk of these events would decrease after KT. Over the first month postoperatively, the prevalence of APLAs decreased to rates found in the general population.[ Conversely, d-dimer was elevated throughout this period. d-dimer, the smallest fibrinolysis-specific degradation product in the circulation,[ is detected within 2 hours of intravascular thrombus formation and circulates with a half-life of approximately 6 hours.[ After general surgery, d-dimer levels peak at approximately 1 week and then decrease 5% to 10% per day, remaining above normal for up to 1 month.[ In the present study, d-dimer levels similarly peaked on POD7 and remained elevated on POD28, suggesting that they reflected nonspecific findings of any major operation. ATG, along with basiliximab, is one of the most widely used induction immunosuppressant agents in KT. ATG, targets a broad range of T-cell surface antigens, including CD2, 3, 5, 8, 28, 45, the T-cell receptor, CD154 which are activate in primary antigenic signaling. And ATG also contains antibodies against natural killer cell marker and antibodies against CD20; a B-cell surface marker.[ As a result, ATG interacts with large range of antigens on immune and nonimmune cell type, inducing apoptosis of B-cells, peripheral T-cells and NK cells, and plasma cells (CD138+).[ There are many comparative studies between ATG and basiliximab, and it is well known that ATG presents more hematologic side effect, such as anemia, lymphocytopenia, and thrombocytopenia. [ de Nattes et al[ reported that thrombocytopenia and hemolytic anemia occurring after ATG inductions probably might be heteroimmune origin via an interaction with a common Fc-receptor epitope in the different cell lines. In this study, 44 patients (12%) received ATG induction and others received basiliximab (323 patients, 88%) for induction therapy. Anemia was observed in both ATG group and basiliximab group at POD7 and 14; however, hemoglobin was significantly lower in ATG group (P < 0.5). Moreover, thrombocytopenia was observed at POD7 and recovered to normal range after POD14 in ATG group. In previously reported studies, anemia after KT occurred about 40% of patients, which was usually caused by or aggravated by blood losses during the surgery or hemodilution due massive fluid therapy in perioperative periods.[ Anemia in both groups might be multifactorial, however, thrombocytopenia presented in ATG group, especially at POD7, might the side effect of ATG. Comparative analyses were also performed between LDKT and DDKT groups. Hemoglobin and platelet count were lower in DDKT groups throughout the study period compared to LDKT groups after KT. Decrements in hemoglobin and platelet counts were steeper in DDKT group (P < 0.05). In DDKT groups, APTT was prolonged and fibrinogen was increased within normal limit range DDKT group (P < 0.05); D-dimer was slightly increased in LDKT after transplantation (P < 0.05). These results might be related to the special condition DDKT, i) emergent surgery, ii) longer total ischemic time is longer which results in longer surgery time, increased bleeding risk, and a more required massive fluid resuscitation, iii) relatively high rate of DGF and rejection, and iv) ATG induction for those with expanded criteria donor. A main strength of this study was the exclusion of patients receiving pre- or postoperative antiplatelet agents or anticoagulants; thus, the study cohort was more hematologically “pure” than that of our previous study.[ We also evaluated the number of prothrombotic factors per patient and demonstrated that this number decreased post-KT. The study has some drawbacks. We did not analyze various confounders that may affect hemostatic factors, such as type of immunosuppressive agent,[ presence of cytomegalovirus infection,[ donor factors, or ischemic time.[ The follow-up duration was only 28 days, limiting our results to short-term outcomes. However, this study focused on overall characteristics of hemostatic factors before and after KT and produced results that validated previous findings and hypotheses and provide a basis for future studies.

Conclusions

Before KT, most recipients exhibited prothrombotic tendencies, in terms of decreased hemoglobin, increased d-dimer and homocysteine, and increased prevalence of LA and aCL. By POD28, most of these abnormalities had improved or resolved. This improvement in thrombotic factors after KT may decrease the risk of cardiovascular disease, thromboembolic events, and mortality in recipients. These results are considered to be the major pathophysiologic effects on the hemostatic factors following KT. Based on this study, we suggest that improvement of renal function after KT might play an important role in recovery of hemostatic parameters in CKD patients, who simultaneously suffered from thrombosis and bleeding tendency. Finally, in order to identify the mechanism of hemostatic problems not only in CKD patients but also long-term effects of KT, further investigations, and longer follow up durations are warranted.

Author contributions

Conceptualization: Ji Il Kim, Jinbeom Cho. Data curation: Jinbeom Cho, Kang Woong Jun, Mihyeong Kim, Jeong Kye Hwang Formal analysis: Jinbeom Cho, Kang Woong Jun, Sun Cheol Park Funding acquisition: Ji Il Kim Investigation: Jinbeom Cho, Kang Woong Jun, Mihyeong Kim Methodology: In Sung Moon, Kang Woong Jun Project administration: Jinbeom Cho, Ji Il Kim Resources: Kang Woong Jun, Ji Il Kim, Sun Cheol Park. Software: Kang Woong Jun, Mihyeong Kim, Jeong Kye Hwang Supervision: Kang Woong Jun, Mihyeong Kim, Jeong Kye Hwang Validation: Jinbeom Cho, Kang Woong Jun, Mihyeong Kim Visualization: Jinbeom Cho, Kang Woong Jun, Mihyeong Kim Writing – original draft: Kang Woong Jun, Jinbeom Cho. Writing – review & editing: Kang Woong Jun, Ji Il Kim, Jinbeom Cho.
  41 in total

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Authors:  U Seligsohn; A Lubetsky
Journal:  N Engl J Med       Date:  2001-04-19       Impact factor: 91.245

2.  Primary haemostasis, plasmatic coagulation and fibrinolysis in renal transplantation.

Authors:  B Fellström; A Siegbahn; G Liljenberg; O Haglund; R Wallin; G Tufveson; L Bagge
Journal:  Thromb Res       Date:  1990-07-01       Impact factor: 3.944

3.  Factor VII coagulant activity (VIIc) and hypercoagulability in chronic renal disease and dialysis: relationship with dyslipidaemia, inflammation, and factor VII genotype.

Authors:  A B Irish; F R Green
Journal:  Nephrol Dial Transplant       Date:  1998-03       Impact factor: 5.992

Review 4.  Rabbit antithymocyte globulin induction therapy in adult renal transplantation.

Authors:  Karen L Hardinger
Journal:  Pharmacotherapy       Date:  2006-12       Impact factor: 4.705

Review 5.  Venous thrombosis: a multicausal disease.

Authors:  F R Rosendaal
Journal:  Lancet       Date:  1999-04-03       Impact factor: 79.321

Review 6.  Treatment of bleeding in dialysis patients.

Authors:  Miriam Galbusera; Giuseppe Remuzzi; Paola Boccardo
Journal:  Semin Dial       Date:  2009 May-Jun       Impact factor: 3.455

Review 7.  Hypercoagulability in Kidney Transplant Recipients.

Authors:  Sandesh Parajuli; Joseph B Lockridge; Eric D Langewisch; Douglas J Norman; Jody L Kujovich
Journal:  Transplantation       Date:  2016-04       Impact factor: 4.939

8.  Changes in coagulation and fibrinolysis in the postoperative period immediately after kidney transplantation in patients receiving OKT3 or cyclosporine A as induction therapy.

Authors:  J Deira; I Alberca; J L Lerma; B Martín; J M Tabernero
Journal:  Am J Kidney Dis       Date:  1998-10       Impact factor: 8.860

9.  Antithymocyte globulin-induced hemolytic anemia and thrombocytopenia after kidney transplantation.

Authors:  T de Nattes; L Lelandais; I Etienne; C Laurent; D Guerrot; D Bertrand
Journal:  Immunotherapy       Date:  2018-07       Impact factor: 4.196

10.  Short-term results of ABO-incompatible living donor kidney transplantation: comparison with ABO-compatible grafts.

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Journal:  J Korean Surg Soc       Date:  2011-07-11
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