Copyright
©The Author(s) 2019.
World J Transplant. Jun 28, 2019; 9(2): 35-47
Published online Jun 28, 2019. doi: 10.5500/wjt.v9.i2.35
Published online Jun 28, 2019. doi: 10.5500/wjt.v9.i2.35
Table 1 Characteristics of included studies
Ref. | Country | Type | Total N | Race | Immuno-suppre-ssive regimen | CNI use (% Cyclos-porine) | PPI | No PPI | Quality Scale3 | ||||
N | Age | M/F | N | Age | M/F | ||||||||
Patel et al[32] 2012 | United States | Retrospec-tive | 561 | NR | Tacroli-mus, MMF, Predni-sone | 0% | 155 | 52±131 | NR | 406 | 48±14 | NR | 3-2-2 |
Knorr et al[20] 2014 | United States | Retrospec-tive | 597 | 52% Black | rATG, MMF, Tacroli-mus, Predni-sone | <3% | 213 | 55±12 | 122/91 | 384 | 55±13 | 210/174 | 4-2-3 |
van Boekel et al[22] 2014 | The Netherlands | Retrospec-tive | 202 | 98.5% Caucasi-an | Tacroli-mus, MMF. Predni-sone | 0% | 125 | 47.7±12.8 | 61.6%/38.4% | 77 | 46.7±13.3 | 66.2%/43.8% | 4-2-3 |
Van Ende et al[33] 2014 | Belgium | Cross-sectional | 512 | 98% Caucasi-an | Varies | 47% (tacroli-mus 35 %) | 101 | 53 ± 13 | 59%/41% | 411 | 53 ± 13 | 59%/41% | 4-2-3 |
Alhosaini et al[34] 2015 | United States | Retrospec-tive | 83 | 59% Caucasi-an, 19% Black | CNI (Tacroli-mus, Cyclospo-rine), MPA, Predni-sone | 5/83 (6%) | 43 | 54 ± 15.1 | 25/18 | 40 | 49.7 ± 16.4 | 24/16 | 4-2-3 |
Sezer et al[35] 2015 | Turkey | Retrospec-tive | 354 | NR | NR | NR | 164 | 38.6 ±1 0.7 | NR | 96 | NR | 38.6 ±1 0.7 | 3-2-2 |
Courson et al[21] 2016 | United States | Retrospec-tive | 286 | 51% Caucasi-an, 17% Black, 10% Asian | Tacroli-mus, MMF or MPS, early steroid withdra-wal | 0% | 171 | 56±13 | 118/53 | 115 | 54±13 | 88/27 | 4-2-3 |
Patel et al[23] 2017 | United States | Retrospec-tive | 522 | 24% Black | Tacroli-mus, reduced-dose MMF, predni-sone | 11/522 (2%) convert-ed to cyclospo-rine | 183 | 54 (44-63)2 | 102/81 | 339 | 53 (43-60) | 219/120 | 4-2-3 |
Shabaka et al[36] 2017 | Spain | Cross-sectional | 938 | NR | CNI-based regimen | NR | NR | NR | NR | NR | NR | NR | 3-2-2 |
Rouse et al[24] 2017 | United States | Retrospec-tive | 211 | 55% Caucasi-an, 30% Black | Tacroli-mus, MMF or MPS, Predni-sone | 0% | 35 | 55±10.7 | 25/10 | 176 | 63±14 | 124/52 | 4-2-3 |
Uludag et al[37] 2017 | Turkey | Retrospec-tive | 292 | NR | NR | NR | 223 | 36±10 | 129/104 | 69 | 33±11 | 42/27 | 3-2-2 |
Kipp et al[39] 2018 | United States | Retrospec-tive | 819 | NR | NR | NR | 404 | NR | NR | 415 | NR | NR | 3-1-2 |
Douwes et al[40] 2018 | The Nether-lands | Cross-sectional | 706 | NR | NR | NR | NR | 53 ± 13 | 57%/43% | NR | 53 ± 13 | 57%/43% | 3-1-2 |
Gomes-Neto et al[38] 2018 | The Nether-lands | Cross-sectional | 703 | NR | NR | NR | NR | 53 ± 13 | 57%/43% | NR | 53 ± 13 | 57%/43% | 3-1-2 |
Table 2 Acute rejection and graft loss
Ref. | Biopsy-proven acute rejection at ⩾ 1 yr (%) | Biopsy-proven or presumed rejection at 3 mo (%) | Median time to rejection | Antibody mediated rejection (%) | Graft loss (%) |
Patel et al[32] 2012 | |||||
PPI | 25 (16%) | NR | 4.1 mo | 3.3% | NR |
No PPI | 60 (15%) | NR | 3.3 mo | 3.1% | NR |
P | 0.69 | - | NS | NS | - |
Knorr et al[20] 2014 | |||||
PPI | 32/213 (15%) | NR | 110 ± 91 d | 1/32 (3.1%) | 9/213 (4.2%) |
H2A | 46/384 (12%) | NR | 110 ± 112 d | 2/46 (4.3%) | 19/384 (4.9%) |
P | 0.15 | - | 1.0 | NR | 0.84 |
van Boekel et al[22] 2014 | |||||
PPI | NR | 25/125 (20%) BPAR: 13/125 (10.4%) | NR | NR | NR |
H2RA | NR | 15/77 (19.5%) BPAR: 7/77 (9.1%) | NR | NR | NR |
P | - | NS | - | - | - |
Courson et al[21] 2014 | |||||
PPI | 16/171 (9.4%) | NR | 116±92 d1 | 5/16 (31%) | 4/171 (2.3%) |
H2RA | 3/115 (2.6%) | NR | both | 0 | 2/115 (1.7%) |
P | 0.029 | - | NS | 0.53 | 1 |
Patel et al[23] 2017 | |||||
PPI | 11/183 (19%) | 12/183 (4.9%) | 106 (57-286) days2 | 1/11 (9.1%) | 9/183 (4.9%) |
H2RA | 28/339 (14%) | 9/339 (3.5%) | 139 (96-339) days | 2/28 (7.1%) | 8/339 (2.4%) |
P | 0.35 | 0.44 | 0.28 | NR | 0.12 |
Rouse et al[24] 2017 | |||||
PPI | 5/35 NR | NR | 2/5 (40%) | NR | |
H2RA | 26/176 | NR | NR | 3/26 (12%) | NR |
P | 1.0 | - | - | 0.03 | - |
Uludag et al[37] 2017 | |||||
PPI | 36/233 (15.5%) | NR | NR | NR | 11/233 (4.7%) |
No PPI | 5/69 (7.2%) | NR | NR | NR | 2/69 (2.9%) |
P | 0.08 | - | - | - | 0.51 |
Table 3 Renal function
Ref. | eGFR | Cr | ||||
PPI | No PPI | P | PPI | No PPI | P | |
Knorr et al[20] | 53.1 ± 20.21 | 55.1 ± 20.6 | 0.29 | NR | NR | - |
van Boekel et al[22] | 49.5 ± 12.3 | 50.7 ± 12.5 | NS | 1.5 ± 0.4 at 3 mo | 1.5 ± 0.4 | NS |
Patel et al[23] | 49.0 (39.4–63.2)2 | 49.9 (39.3–60.8) | 0.78 | NR | NR | - |
Uludag et al[37] | - | - | - | 1.49 ± 0.99 mg/dL | 1.24 ± 0.46 mg/dL | 0.017 |
Alhosaini et al[34] | 49.4 ± 14.9 | 52.8 ± 14.3 | 0.29 | - | - | - |
Kipp et al[39] | NR | NR | - | 1.896 ± 1.53 | 1.812 ± 1.25 | P = 0.4098 |
Table 4 Hypomagnesemia
Ref. | Serum / Plasma magnesium level | Hypomagnesemia | Magnesium supplemen-tation | ||||||
PPI | No PPI | P | Definition of hypomagne-semia | PPI | No PPI | P | Correlation between PPI and hypomagne-semia | ||
Sezer et al[35] | 1.5 ± 0.04 mg/dl | 1.7 ± 0.02 mg/dl | P < 0.05 | NR | NR | NR | NR | NR | |
Shabaka et al[36] | NR | NR | NR | OR 1.55, (95%CI 1.09-2.20) | 1 | NR | NR | ||
Kipp et al[39] | NR | NR | NR | 215 (53.1%) | 185 (44.6%) | P < 0.013 | NR | NR | |
Alhosaini et al[34] | 1.70 ± 0.12 | 1.79 ± 0.17 | 0.006 | Serum Mg < 1.8 mg/dL | 33/43 | 24/40 | P > 0.05 | NR | Use of Mg supplement: PPI 47% vs Non-PPI 21% (P = 0.02) |
Serum Mg < 1.3 mg/dL | 9/43 (21%) | 2/40 (5%) | P = 0.03 | ||||||
Uludag et al[37] | 0.728 mmol/L | vs 0.755 mmol/L, | P = 0.061 | NR | NR | NR | NR | NR | |
Van Ende et al[33] | NR | NR | Serum Mg < 1.7 mg/dL | β: −0.84 (0.26; 2.71), P = 0.78 | β: −0.84 (0.26; 2.71), P = 0.78 | NR | |||
Douwes et al[40] | NR | NR | Serum Mg < 1.8 mg/dL (0.75 mmol/L) | HR 3.25 (1.26-8.39) | 1 | β: -0.08, P = 0.046 | Mean Mg intake: 330 ± 85 mg/d, (P = 0.204) | ||
Gomes-Neto et al[38] | NR | NR | NR | β: -0.05, P = 0.04 | NR | β: -0.05, P = 0.04 | NR |
Table 5 Mortality
- Citation: Boonpheng B, Thongprayoon C, Bathini T, Sharma K, Mao MA, Cheungpasitporn W. Proton pump inhibitors and adverse effects in kidney transplant recipients: A meta-analysis. World J Transplant 2019; 9(2): 35-47
- URL: https://www.wjgnet.com/2220-3230/full/v9/i2/35.htm
- DOI: https://dx.doi.org/10.5500/wjt.v9.i2.35