Eva Carlsson, Markus Gäbel, Niclas Kvarnström, Maria K Svensson
{"title":"活体肾供者保留肾功能与肾脏恢复。","authors":"Eva Carlsson, Markus Gäbel, Niclas Kvarnström, Maria K Svensson","doi":"10.1016/j.transproceed.2025.07.031","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Living kidney transplantation is considered the most favorable treatment for end-stage kidney disease. The aim of this study was to assess the impact of clinical pre-donation factors upon post-donation kidney function and renal recovery.</p><p><strong>Methods: </strong>Sixty kidney donors (age = 46 ± 11 years, 63% women) were included. Associations between pre-donation factors and post-donation kidney function and renal recovery at 2 and 6 months were examined. Iohexol or <sup>51</sup>Cr-EDTA was used to measure glomerular filtration rate. Multiple regression analyses and machine learning were applied.</p><p><strong>Results: </strong>Pre-donation measured glomerular filtration rate (mGFR) was 107 ± 18 and single-kidney (sk) mGFR 55 ± 10 mL/min. Sk mGFR increased by 29% and 35% at 2 and 6 months, respectively (P < .001 vs pre-donation). In univariable regression analysis, age, female sex, mGFR<sub>0</sub>, sk mGFR<sub>0</sub>, eGFR<sub>0</sub>, body surface area (BSA), triglycerides (TGs), high-density lipoprotein (HDL), and waist-hip ratio (WHR) were significantly associated with post-donation mGFR. Age and pre-donation mGFR were the main determinants of post-donation mGFR at 2 and 6 months (adjusted [adj.] R<sup>2</sup> = 0.64, F = 71.5 and adj. R<sup>2</sup> = 0.63, F = 51.6, respectively, P < .001 for both models). Renal recovery (∆mGFR 0-2 and 0-6 months post donation) was associated with age, sk mGFR, and side of the donated kidney (left vs right; adj. R<sup>2</sup> = 0.37 and R<sup>2</sup> = 0.44, respectively, P < .001 for both models). The findings were similar when applying machine learning (data not shown).</p><p><strong>Conclusions: </strong>This study confirms that age and pre-donation kidney function (mGFR) are key determinants of post-donation kidney function and renal recovery.</p>","PeriodicalId":94258,"journal":{"name":"Transplantation proceedings","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preserved Kidney Function and Renal Recovery in Living Kidney Donors.\",\"authors\":\"Eva Carlsson, Markus Gäbel, Niclas Kvarnström, Maria K Svensson\",\"doi\":\"10.1016/j.transproceed.2025.07.031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Living kidney transplantation is considered the most favorable treatment for end-stage kidney disease. The aim of this study was to assess the impact of clinical pre-donation factors upon post-donation kidney function and renal recovery.</p><p><strong>Methods: </strong>Sixty kidney donors (age = 46 ± 11 years, 63% women) were included. Associations between pre-donation factors and post-donation kidney function and renal recovery at 2 and 6 months were examined. Iohexol or <sup>51</sup>Cr-EDTA was used to measure glomerular filtration rate. Multiple regression analyses and machine learning were applied.</p><p><strong>Results: </strong>Pre-donation measured glomerular filtration rate (mGFR) was 107 ± 18 and single-kidney (sk) mGFR 55 ± 10 mL/min. Sk mGFR increased by 29% and 35% at 2 and 6 months, respectively (P < .001 vs pre-donation). In univariable regression analysis, age, female sex, mGFR<sub>0</sub>, sk mGFR<sub>0</sub>, eGFR<sub>0</sub>, body surface area (BSA), triglycerides (TGs), high-density lipoprotein (HDL), and waist-hip ratio (WHR) were significantly associated with post-donation mGFR. Age and pre-donation mGFR were the main determinants of post-donation mGFR at 2 and 6 months (adjusted [adj.] R<sup>2</sup> = 0.64, F = 71.5 and adj. R<sup>2</sup> = 0.63, F = 51.6, respectively, P < .001 for both models). Renal recovery (∆mGFR 0-2 and 0-6 months post donation) was associated with age, sk mGFR, and side of the donated kidney (left vs right; adj. R<sup>2</sup> = 0.37 and R<sup>2</sup> = 0.44, respectively, P < .001 for both models). The findings were similar when applying machine learning (data not shown).</p><p><strong>Conclusions: </strong>This study confirms that age and pre-donation kidney function (mGFR) are key determinants of post-donation kidney function and renal recovery.</p>\",\"PeriodicalId\":94258,\"journal\":{\"name\":\"Transplantation proceedings\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transplantation proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.transproceed.2025.07.031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transplantation proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.transproceed.2025.07.031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preserved Kidney Function and Renal Recovery in Living Kidney Donors.
Background: Living kidney transplantation is considered the most favorable treatment for end-stage kidney disease. The aim of this study was to assess the impact of clinical pre-donation factors upon post-donation kidney function and renal recovery.
Methods: Sixty kidney donors (age = 46 ± 11 years, 63% women) were included. Associations between pre-donation factors and post-donation kidney function and renal recovery at 2 and 6 months were examined. Iohexol or 51Cr-EDTA was used to measure glomerular filtration rate. Multiple regression analyses and machine learning were applied.
Results: Pre-donation measured glomerular filtration rate (mGFR) was 107 ± 18 and single-kidney (sk) mGFR 55 ± 10 mL/min. Sk mGFR increased by 29% and 35% at 2 and 6 months, respectively (P < .001 vs pre-donation). In univariable regression analysis, age, female sex, mGFR0, sk mGFR0, eGFR0, body surface area (BSA), triglycerides (TGs), high-density lipoprotein (HDL), and waist-hip ratio (WHR) were significantly associated with post-donation mGFR. Age and pre-donation mGFR were the main determinants of post-donation mGFR at 2 and 6 months (adjusted [adj.] R2 = 0.64, F = 71.5 and adj. R2 = 0.63, F = 51.6, respectively, P < .001 for both models). Renal recovery (∆mGFR 0-2 and 0-6 months post donation) was associated with age, sk mGFR, and side of the donated kidney (left vs right; adj. R2 = 0.37 and R2 = 0.44, respectively, P < .001 for both models). The findings were similar when applying machine learning (data not shown).
Conclusions: This study confirms that age and pre-donation kidney function (mGFR) are key determinants of post-donation kidney function and renal recovery.
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