| Literature DB >> 21912540 |
Jonathan Heldt1, Robert Torrey, Daniel Han, Pedro Baron, Christopher Tenggardjaja, Justin McLarty, Tekisha Lindler, D Duane Baldwin.
Abstract
Background. While tobacco use by a renal transplant recipient has been shown to negatively affect graft and patient survival, the effect of smoking on the part of the kidney donor remains unknown. Methods. 29 smoking donors (SD) and their recipients (SD-R) as well as 71 non-smoking donors (ND) and their recipients (ND-R) were retrospectively reviewed. Preoperative demographics and perioperative variables including serum creatinine (Cr) and glomerular filtration rate (GFR) were calculated and stratified by amount of tobacco exposure in pack-years. Clinical outcomes were analyzed with a Student's t-test, chi-square, and multiple linear regression analysis (α = 0.05). Results. At most recent followup, SD-R's had a significantly smaller percent decrease in postoperative Cr than ND-R's (-57% versus -81%; P = 0.015) and lower calculated GFR's (37.0 versus 53.0 mL/min per 1.73 m(2); P < 0.001). SD's had a larger percent increase in Cr than ND's at most recent followup (57% versus 40%; P < 0.001), with active smokers having a larger increase than those who quit, although this difference was not statistically significant (68% versus 52%; P = 0.055). Conclusions. Use of tobacco by kidney donors is associated with decreased posttransplant renal function, although smoking cessation can improve outcomes. Kidneys from donors who smoke should be used with caution.Entities:
Year: 2011 PMID: 21912540 PMCID: PMC3168272 DOI: 10.1155/2011/929263
Source DB: PubMed Journal: Adv Urol ISSN: 1687-6369
Demographics and preoperative characteristics of 200 patients at a single institution, including 100 kidney donors undergoing laparoscopic donor nephrectomy as well as their 100 recipients. Patients were stratified by donor tobacco history into those with a history of tobacco use (SD) and a control group with no history of tobacco use (ND).
| SD | ND |
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|---|---|---|---|
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| Mean age (years) | 36.8 | 34.4 | 0.31 |
| Mean BMI (kg/m2) | 26.4 | 25.5 | 0.24 |
| Sex | 45% M | 41% M | 0.89 |
| Hypertension | 0 | 0 | n/a |
| Diabetes | 0 | 0 | n/a |
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| Mean age (years) | 39.8 | 38.7 | 0.78 |
| Mean BMI (kg/m2) | 24.5 | 25.4 | 0.48 |
| Sex | 44.8% M | 62.0% M | 0.18 |
| Hypertension | 29 (100%) | 66 (93%) | 0.34 |
| Diabetes | 9 (31%) | 15 (21%) | 0.43 |
Figure 1Comparison of percent change in creatinine (Cr) at most recent followup between recipients of kidneys from donors with a history of tobacco use (SD) and those with no history of tobacco use (ND) as well as the percent change in Cr of the donors.
Figure 2Comparison of percent decrease in creatinine (Cr) at 1 and 6 months between the recipients of renal allografts from living donors who have a history of tobacco use (SD-R) and donors with no history of tobacco use (ND-R) stratified by donor smoking exposure in pack-years (py).
Calculated glomerular filtration rates in mL/min per 1.73 m2 of 200 patients at a single institution, including 100 kidney donors undergoing laparoscopic donor nephrectomy as well as their 100 recipients. Patients were stratified by donor tobacco history into those with a history of tobacco use (SD) and a control group with no history of tobacco use (ND).
| SD | ND |
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|---|---|---|---|
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| Preoperative | 7.1 | 6.8 | 0.67 |
| 1 week | 66.5 | 59.5 | 0.14 |
| 1 month | 62.8 | 60.4 | 0.60 |
| 6 months | 53.7 | 54.9 | 0.77 |
| 1 year | 44.1 | 54.7 |
|
| Most recent | 37.0 | 53.0 |
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| Peak | 77.1 | 79.4 | 0.70 |
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| Preoperative | 96.2 | 104.0 | 0.14 |
| 1 week | 57.0 | 60.7 | 0.20 |
| Most recent | 57.7 | 62.8 | 0.11 |
| Nadir | 50.0 | 52.7 | 0.21 |
Figure 3Comparison of calculated glomerular filtration rates in mL/min per 1.73 m2 between recipients of renal allografts from living donors who have a history of tobacco use (SD-R) and donors with no history of tobacco use (ND-R).
Figure 4Kaplan Meier renal allograft survival curves for kidneys from living donors with a history of tobacco use (SD) and those with no history of tobacco use (ND). Statistical significance between mean survival times is assessed using the Mantel-Cox logrank test.
Figure 5Comparison of calculated glomerular filtration rates in mL/min per 1.73 m2 between living kidney donors with a history of tobacco use (SD) and those with no history of tobacco use (ND).