BACKGROUND: Frail kidney transplant (KT) recipients have higher risk of adverse post-KT outcomes. Yet, there is interest in measuring frailty at KT evaluation and then using this information for post-KT risk stratification. Given long wait times for KT, frailty may improve or worsen between evaluation and KT. Patterns, predictors, and post-KT adverse outcomes associated with these changes are unclear. METHODS: Five hundred sixty-nine adult KT candidates were enrolled in a cohort study of frailty (November 2009-September 2017) at evaluation and followed up at KT. Patterns of frailty transitions were categorized as follows: (1) binary state change (frail/nonfrail), (2) 3-category state change (frail/intermediate/nonfrail), and (3) raw score change (-5 to 5). Adjusted Cox proportional hazard and logistic regression models were used to test whether patterns of frailty transitions were associated with adverse post-KT outcomes. RESULTS: Between evaluation and KT, 22.0% became more frail, while 24.4% became less frail. Black race (relative risk ratio, 1.98; 95% confidence interval [CI], 1.07-3.67) was associated with frail-to-nonfrail transition, and diabetes (relative risk ratio, 2.56; 95% CI, 1.22-5.39) was associated with remaining stably frail. Candidates who became more frail between 3-category states (hazard ratio, 2.27; 95% CI, 1.11-4.65) and frailty scores (hazard ratio, 2.36; 95% CI, 1.12-4.99) had increased risk of post-KT mortality and had higher odds of length of stay ≥2 weeks (3-category states: odds ratio, 2.02; 95% CI, 1.20-3.40; frailty scores: odds ratio, 1.92; 95% CI, 1.13-3.25). CONCLUSIONS: Almost half of KT candidates experienced change in frailty between evaluation and KT, and those transitions were associated with mortality and longer length of stay. Monitoring changes in frailty from evaluation to admission may improve post-KT risk stratification.
BACKGROUND: Frail kidney transplant (KT) recipients have higher risk of adverse post-KT outcomes. Yet, there is interest in measuring frailty at KT evaluation and then using this information for post-KT risk stratification. Given long wait times for KT, frailty may improve or worsen between evaluation and KT. Patterns, predictors, and post-KT adverse outcomes associated with these changes are unclear. METHODS: Five hundred sixty-nine adult KT candidates were enrolled in a cohort study of frailty (November 2009-September 2017) at evaluation and followed up at KT. Patterns of frailty transitions were categorized as follows: (1) binary state change (frail/nonfrail), (2) 3-category state change (frail/intermediate/nonfrail), and (3) raw score change (-5 to 5). Adjusted Cox proportional hazard and logistic regression models were used to test whether patterns of frailty transitions were associated with adverse post-KT outcomes. RESULTS: Between evaluation and KT, 22.0% became more frail, while 24.4% became less frail. Black race (relative risk ratio, 1.98; 95% confidence interval [CI], 1.07-3.67) was associated with frail-to-nonfrail transition, and diabetes (relative risk ratio, 2.56; 95% CI, 1.22-5.39) was associated with remaining stably frail. Candidates who became more frail between 3-category states (hazard ratio, 2.27; 95% CI, 1.11-4.65) and frailty scores (hazard ratio, 2.36; 95% CI, 1.12-4.99) had increased risk of post-KT mortality and had higher odds of length of stay ≥2 weeks (3-category states: odds ratio, 2.02; 95% CI, 1.20-3.40; frailty scores: odds ratio, 1.92; 95% CI, 1.13-3.25). CONCLUSIONS: Almost half of KT candidates experienced change in frailty between evaluation and KT, and those transitions were associated with mortality and longer length of stay. Monitoring changes in frailty from evaluation to admission may improve post-KT risk stratification.
Authors: Jacqueline M Garonzik-Wang; Priyanka Govindan; Jack W Grinnan; Minghao Liu; Hassan M Ali; Anindita Chakraborty; Vaibhav Jain; Reside L Ros; Nathan T James; Lauren M Kucirka; Erin C Hall; Jonathan C Berger; Robert A Montgomery; Niraj M Desai; Nabil N Dagher; Christopher J Sonnenday; Michael J Englesbe; Martin A Makary; Jeremy D Walston; Dorry L Segev Journal: Arch Surg Date: 2012-02
Authors: Karen Bandeen-Roche; Qian-Li Xue; Luigi Ferrucci; Jeremy Walston; Jack M Guralnik; Paulo Chaves; Scott L Zeger; Linda P Fried Journal: J Gerontol A Biol Sci Med Sci Date: 2006-03 Impact factor: 6.053
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: Qian-Li Xue; Karen Bandeen-Roche; Ravi Varadhan; Jing Zhou; Linda P Fried Journal: J Gerontol A Biol Sci Med Sci Date: 2008-09 Impact factor: 6.053
Authors: Mara A McAdams-DeMarco; Andrew Law; Megan L Salter; Brian Boyarsky; Luis Gimenez; Bernard G Jaar; Jeremy D Walston; Dorry L Segev Journal: J Am Geriatr Soc Date: 2013-05-27 Impact factor: 7.538
Authors: Mara A McAdams-DeMarco; Sunitha Suresh; Andrew Law; Megan L Salter; Luis F Gimenez; Bernard G Jaar; Jeremy D Walston; Dorry L Segev Journal: BMC Nephrol Date: 2013-10-16 Impact factor: 2.388
Authors: Nadia M Chu; Xiaomeng Chen; Silas P Norman; Jessica Fitzpatrick; Stephen M Sozio; Bernard G Jaar; Alena Frey; Michelle M Estrella; Qian-Li Xue; Rulan S Parekh; Dorry L Segev; Mara A McAdams-DeMarco Journal: Am J Nephrol Date: 2020-07-08 Impact factor: 3.754
Authors: Christine E Haugen; Alvin G Thomas; Nadia M Chu; Ashton A Shaffer; Silas P Norman; Adam W Bingaman; Dorry L Segev; Mara McAdams-DeMarco Journal: Am J Transplant Date: 2019-12-12 Impact factor: 8.086
Authors: Christine E Haugen; Alden Gross; Nadia M Chu; Silas P Norman; Daniel C Brennan; Qian-Li Xue; Jeremy Walston; Dorry L Segev; Mara McAdams-DeMarco Journal: J Gerontol A Biol Sci Med Sci Date: 2021-02-25 Impact factor: 6.053
Authors: Meera N Harhay; Maya K Rao; Kenneth J Woodside; Kirsten L Johansen; Krista L Lentine; Stefan G Tullius; Ronald F Parsons; Tarek Alhamad; Joseph Berger; XingXing S Cheng; Jaqueline Lappin; Raymond Lynch; Sandesh Parajuli; Jane C Tan; Dorry L Segev; Bruce Kaplan; Jon Kobashigawa; Darshana M Dadhania; Mara A McAdams-DeMarco Journal: Nephrol Dial Transplant Date: 2020-07-01 Impact factor: 5.992
Authors: Xingxing S Cheng; Jonathan Myers; Jialin Han; Margaret R Stedman; Daniel J Watford; Jenny Lee; Kevin V Discipulo; Khin N Chan; Glenn M Chertow; Jane C Tan Journal: Am J Kidney Dis Date: 2020-06-06 Impact factor: 8.860
Authors: Evelien E Quint; Donika Zogaj; Louise B D Banning; Stan Benjamens; Coby Annema; Stephan J L Bakker; Gertrude J Nieuwenhuijs-Moeke; Dorry L Segev; Mara A McAdams-DeMarco; Robert A Pol Journal: Transplant Direct Date: 2021-05-18