| Literature DB >> 36182576 |
Maryam Rahbar1, Reza Kazemi2, Hanieh Salehi3, Pouria Ghasemi4, Mohammad Naghizageh4, Sanaz Dehghani5, Maryam Gholamnejad1, Mahin Ahmadi Pishkuhi6, Seyed Mohammad Kazem Aghamir7.
Abstract
BACKGROUND: Every year, a large number of people undergo kidney transplants because of various reasons leading to renal failure. These patients usually have low immunoglobulin levels due to the use of immunosuppressive drugs. In recent years, the COVID-19 pandemic has been a major global health risk. Patients who are immunocompromised or who have diabetes are especially at risk.Entities:
Year: 2022 PMID: 36182576 PMCID: PMC9376332 DOI: 10.1016/j.transproceed.2022.08.012
Source DB: PubMed Journal: Transplant Proc ISSN: 0041-1345 Impact factor: 1.014
Demographic and Clinical Characteristics between Kidney Transplant IgM antibody statuses
| Total n=156 | IgM antibody status | P-value | |||
|---|---|---|---|---|---|
| Positive n=12(8%) | Negative.n=144(92%) | ||||
| Median Age [IQR], Years | 50(39,60) | 45(38,58) | 51(39,60) | 0.456 | |
| Age ≥ 60 years, n (%) | 41(26%) | 2(17%) | 39(27%) | 0.431 | |
| Men, n (%) | 105(67%) | 9(75%) | 96(67%) | 0.554 | |
| Median BMI [IQR], Kg/m2 | 26(23,29) | 26(25,29) | 26(23,29) | 0.860 | |
| Causes of KT, n (%) | HBP | 50(32%) | 2(17%) | 48(33%) | 0.066 |
| DM/HBP | 17(11%) | 4(33%) | 13(9%) | ||
| Urology | 24(15%) | 2(17%) | 22(15%) | ||
| Other | 65(42%) | 4(33%) | 61(42%) | ||
| Median time after KT[IQR], Years | 8(4,13) | 7(4,15) | 8(4,13) | 0.902 | |
| Cadaver graft, n (%) | 89(57%) | 8(67%) | 81(56%) | 0.484 | |
| Re-Transplant, n (%) | 16(10%) | 1(8%) | 15(10%) | 0.819 | |
| Rejection transplantation, n (%) | 54(35%) | 5(42%) | 49(34%) | 0.593 | |
| Creatinine increasing, n (%) | 48(31%) | 4(33%) | 44(31%) | 0.841 | |
| Hypertension, n (%) | 83(53%) | 7(58%) | 76(53%) | 0.711 | |
| Cardiovascular disease, n (%) | 16(10%) | 0(0%) | 16(11%) | 0.223 | |
| Diabetes, n (%) | 39(25%) | 4(33%) | 35(24%) | 0.488 | |
| Stroke, n (%) | 5(3%) | 0(0%) | 5(3%) | 0.999 | |
| Kidney problem, n (%) | 82(53%) | 8(67%) | 74(51%) | 0.309 | |
| CMV infection, n (%) | 15(10%) | 2(17%) | 13(9%) | 0.388 | |
| Cellcept (mycophenolate mofetil), n (%) | 101(65%) | 6(50%) | 95(66%) | 0.266 | |
| Tacrolimus, n (%) | 63(40%) | 3(25%) | 60(42%) | 0.258 | |
| Azathioprine, n (%) | 21(13%) | 1(8%) | 20(14%) | 0.588 | |
| Sirolimus (Rapamune), n (%) | 14(9%) | 3(25%) | 11(8%) | 0.043 | |
| Prednisolone, n (%) | 148(95%) | 12(100%) | 136(94%) | 0.402 | |
| Cyclosporine, n (%) | 85(55%) | 6(50%) | 79(55%) | 0.745 | |
| History of Covid, n (%) | 68(44%) | 9(75%) | 59(41%) | 0.020 | |
P-values were calculated based on Mann–Whitney U, Chi-Square tests, Fisher's Exact Test or Monte Carlo method.
Demographic and Clinical Characteristics between Kidney Transplant IgG antibody status.
| Total n=156 | IgG antibody status | P-value | |||
|---|---|---|---|---|---|
| Positive n=34(22%) | Negative n=122(78%) | ||||
| Baseline characteristics | |||||
| Median Age [IQR], Years | 50(39,60) | 51(40,61) | 49(38,60) | 0.475 | |
| Age ≥ 60 years, n (%) | 41(26%) | 9(27%) | 32(26%) | 0.977 | |
| Men, n (%) | 105(67%) | 26(77%) | 79(65%) | 0.198 | |
| Median BMI [IQR], Kg/m2 | 26(23,29) | 26(24,29) | 26(23,30) | 0.746 | |
| Causes of KT, n (%) | HBP | 50(32%) | 6(18%) | 44(36%) | 0.076 |
| DM/HBP | 17(11%) | 7(21%) | 10(8%) | ||
| Urology | 24(15%) | 5(15%) | 19(16%) | ||
| Other | 65(42%) | 16(47%) | 49(40%) | ||
| Median time after KT[IQR], Years | 8(4,13) | 7(4,11) | 8(4,14) | 0.647 | |
| Cadaver graft, n (%) | 89(57%) | 21(62%) | 68(56%) | 0.530 | |
| Re-Transplant, n (%) | 16(10%) | 1(3%) | 15(12%) | 0.112 | |
| Rejection transplantation, n (%) | 54(35%) | 11(32%) | 43(35%) | 0.754 | |
| Creatinine increasing, n (%) | 48(31%) | 10(29%) | 38(31%) | 0.846 | |
| Hypertension, n (%) | 83(53%) | 15(44%) | 68(56%) | 0.230 | |
| Cardiovascular disease, n (%) | 16(10%) | 3(9%) | 13(11%) | 0.755 | |
| Diabetes, n (%) | 39(25%) | 11(32%) | 28(23%) | 0.263 | |
| Stroke, n (%) | 5(3%) | 1(3%) | 4(3%) | 0.999 | |
| Kidney problem, n (%) | 82(53%) | 22(65%) | 60(49%) | 0.109 | |
| CMV infection, n (%) | 15(10%) | 6(18%) | 9(7%) | 0.072 | |
| Drug treatment | |||||
| Cellcept (mycophenolate mofetil), n(%) | 101(65%) | 24(71%) | 77(63%) | 0.420 | |
| Tacrolimus, n (%) | 63(40%) | 11(32%) | 52(43%) | 0.280 | |
| Azathioprine, n (%) | 21(13%) | 3(9%) | 18(15%) | 0.370 | |
| Sirolimus (Rapamune), n (%) | 14(9%) | 4(12%) | 10(8%) | 0.520 | |
| Prednisolone, n (%) | 148(95%) | 31(91%) | 117(96%) | 0.269 | |
| Cyclosporin, n (%) | 85(55%) | 19(56%) | 66(54%) | 0.853 | |
| History of Covid, n (%) | 68(44%) | 21(62%) | 47(39%) | 0.016 | |
P-values were calculated based on Mann–Whitney U, Chi-Square tests, Fisher's Exact Test or Monte Carlo method.