Michelle L Robbin1, Tom Greene2,3, Michael Allon4, Laura M Dember5, Peter B Imrey6,7, Alfred K Cheung8,9,10, Jonathan Himmelfarb11, Thomas S Huber12, James S Kaufman13,14, Milena K Radeva6, Prabir Roy-Chaudhury15, Yan-Ting Shiu9, Miguel A Vazquez16, Heidi R Umphrey17, Lauren Alexander18, Carl Abts17, Gerald J Beck6, John W Kusek19, Harold I Feldman20. 1. Department of Radiology and mrobbin@uabmc.edu. 2. Departments of Population Health Sciences and. 3. Internal Medicine and. 4. Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama. 5. Renal, Electrolyte and Hypertension Division, Department of Medicine, and Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. 6. Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio. 7. Cleveland Clinic Lerner College of Medicine, School of Medicine, Case Western Reserve University, Cleveland, Ohio. 8. Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah. 9. Division of Nephrology and Hypertension, University of Utah, Salt Lake City, Utah. 10. Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China. 11. Kidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington. 12. Division of Vascular Surgery, University of Florida College of Medicine, Gainesville, Florida. 13. Renal Section, Veterans Affairs New York Harbor Healthcare System, New York, New York. 14. Division of Nephrology, New York University School and Medicine, New York, New York. 15. Division of Nephrology, University of Arizona College of Medicine, Tucson, Arizona. 16. Division of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas. 17. Department of Radiology and. 18. Department of Radiology, Mayo Clinic, Jacksonville, Florida. 19. Division of Kidney, Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland. 20. Department of Biostatistics and Epidemiology, Department of Medicine, and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Abstract
BACKGROUND: The utility of early postoperative ultrasound measurements in predicting arteriovenous fistula (AVF) clinical maturation is uncertain. METHODS: We investigated the relationships of ultrasound parameters with AVF clinical maturation in newly created AVF, measured at 1 day and 2 and 6 weeks, in 602 participants of a multicenter, observational cohort study. A backward elimination algorithm identified ultrasound measurements that independently predicted unassisted and overall AVF maturation. Candidate variables included AVF blood flow, diameter, and depth, upper arm arterial diameter, presence of stenosis, presence of accessory veins, seven case-mix factors (age, sex, black race, AVF location, diabetes, dialysis status, and body mass index), and clinical center. We evaluated the accuracy of the resulting models for clinical prediction. RESULTS: At each ultrasound measurement time, AVF blood flow, diameter, and depth each predicted in a statistically significant manner both unassisted and overall clinical maturation. Moreover, neither the remaining ultrasound parameters nor case-mix factors were associated with clinical AVF maturation after accounting for blood flow, diameter, and depth, although maturation probabilities differed among clinical centers before and after accounting for these parameters. The crossvalidated area under the receiver operating characteristic curve for models constructed using these three ultrasound parameters was 0.69, 0.74, and 0.79 at 1 day and 2 and 6 weeks, respectively, for unassisted AVF clinical maturation and 0.69, 0.71, and 0.76, respectively, for overall AVF maturation. CONCLUSIONS: AVF blood flow, diameter, and depth moderately predicted unassisted and overall AVF clinical maturation. The other factors considered did not further improve AVF maturation prediction.
BACKGROUND: The utility of early postoperative ultrasound measurements in predicting arteriovenous fistula (AVF) clinical maturation is uncertain. METHODS: We investigated the relationships of ultrasound parameters with AVF clinical maturation in newly created AVF, measured at 1 day and 2 and 6 weeks, in 602 participants of a multicenter, observational cohort study. A backward elimination algorithm identified ultrasound measurements that independently predicted unassisted and overall AVF maturation. Candidate variables included AVF blood flow, diameter, and depth, upper arm arterial diameter, presence of stenosis, presence of accessory veins, seven case-mix factors (age, sex, black race, AVF location, diabetes, dialysis status, and body mass index), and clinical center. We evaluated the accuracy of the resulting models for clinical prediction. RESULTS: At each ultrasound measurement time, AVF blood flow, diameter, and depth each predicted in a statistically significant manner both unassisted and overall clinical maturation. Moreover, neither the remaining ultrasound parameters nor case-mix factors were associated with clinical AVF maturation after accounting for blood flow, diameter, and depth, although maturation probabilities differed among clinical centers before and after accounting for these parameters. The crossvalidated area under the receiver operating characteristic curve for models constructed using these three ultrasound parameters was 0.69, 0.74, and 0.79 at 1 day and 2 and 6 weeks, respectively, for unassisted AVF clinical maturation and 0.69, 0.71, and 0.76, respectively, for overall AVF maturation. CONCLUSIONS: AVF blood flow, diameter, and depth moderately predicted unassisted and overall AVF clinical maturation. The other factors considered did not further improve AVF maturation prediction.
Authors: Michelle L Robbin; Tom Greene; Alfred K Cheung; Michael Allon; Scott A Berceli; James S Kaufman; Matthew Allen; Peter B Imrey; Milena K Radeva; Yan-Ting Shiu; Heidi R Umphrey; Carlton J Young Journal: Radiology Date: 2015-12-22 Impact factor: 11.105
Authors: Michael Allon; Peter B Imrey; Alfred K Cheung; Milena Radeva; Charles E Alpers; Gerald J Beck; Laura M Dember; Alik Farber; Tom Greene; Jonathan Himmelfarb; Thomas S Huber; James S Kaufman; John W Kusek; Prabir Roy-Chaudhury; Michelle L Robbin; Miguel A Vazquez; Harold I Feldman Journal: Am J Kidney Dis Date: 2018-02-02 Impact factor: 8.860
Authors: Alfred K Cheung; Peter B Imrey; Charles E Alpers; Michelle L Robbin; Milena Radeva; Brett Larive; Yan-Ting Shiu; Michael Allon; Laura M Dember; Tom Greene; Jonathan Himmelfarb; Prabir Roy-Chaudhury; Christi M Terry; Miguel A Vazquez; John W Kusek; Harold I Feldman Journal: J Am Soc Nephrol Date: 2017-07-14 Impact factor: 10.121
Authors: Oliver D Kripfgans; Stephen Z Pinter; Cristel Baiu; Matthew F Bruce; Paul L Carson; Shigao Chen; Todd N Erpelding; Jing Gao; Mark E Lockhart; Andy Milkowski; Nancy Obuchowski; Michelle L Robbin; Jonathan M Rubin; James A Zagzebski; J Brian Fowlkes Journal: Radiology Date: 2020-06-30 Impact factor: 11.105
Authors: Ali Mirza Onder; Joseph T Flynn; Anthony A Billings; Fang Deng; Marissa DeFreitas; Chryso Katsoufis; Matthew M Grinsell; Larry Patterson; Jennifer Jetton; Sahar Fathallah-Shaykh; Daniel Ranch; Diego Aviles; Lawrence Copelovitch; Eileen Ellis; Vimal Chadha; Ayah Elmaghrabi; Jen-Jar Lin; Lavjay Butani; Maha Haddad; Olivera Marsenic; Paul Brakeman; Raymond Quigley; H Stella Shin; Rouba Garro; Hui Liu; Javad Rahimikollu; Rupesh Raina; Craig B Langman; Ellen Wood Journal: Pediatr Nephrol Date: 2019-11-06 Impact factor: 3.714
Authors: Laisel Martinez; Mikael Perla; Marwan Tabbara; Juan C Duque; Miguel G Rojas; Nieves Santos Falcon; Simone Pereira-Simon; Loay H Salman; Roberto I Vazquez-Padron Journal: Kidney360 Date: 2022-01-13
Authors: Maheshika Somarathna; Patrick Tj Hwang; Reid C Millican; Grant C Alexander; Tatyana Isayeva-Waldrop; Jennifer A Sherwood; Brigitta C Brott; Isabelle Falzon; Hannah Northrup; Yan-Ting Shiu; Chris J Stubben; John Totenhagen; Ho-Wook Jun; Timmy Lee Journal: Biomaterials Date: 2021-11-18 Impact factor: 15.304