Citations 2
2023 HRS/APHRS/LAHRS guideline on cardiac physiologic pacing for the avoidance and mitigation of heart failure
Chung, Mina K. , Lau, Chu‐Pak, Forno, Alexander Romeno Janner Dal, Arora, Vanita , Birgersdotter‐Green, Ulrika , Cha, Yong‐Mei , Chung, Eugene H. , Cronin, Edmond M. , Curtis, Anne B. , Cygankiewicz, Iwona , Dandamudi, Gopi, Dubin, Anne M. , Ensch, Douglas P., Glotzer, Taya V. , Gold, Michael R. , Goldberger, Zachary D. , Gutiérrez, Alejandra , Guzmán, Juan C. , Indik, Julia H. , Karpawich, Peter P. , Khaykin, Yaariv , Kiehl, Erich L., Kutyifa, Valentina , Müllens, Wilfried , Parkash, Ratika , Patete, Manuel , Pathak, Rajeev K. , Perona, Carlos, Rickard, John , Schoenfeld, Mark H., Seow, Swee‐Chong , Shen, Win‐Kuang , Slotwiner, David J. , Sridhar, Arun Raghav Mahankali , Srivatsa, Uma N. , Stecker, Eric C. , Tanawuttiwat, Tanyanan , Tapias, Carlos A., Upadhyay, Gaurav A. , Vernooy, Kevin , Worsnick, Sarah Ann, Zaręba, Wojciech , Zeitler, Emily P. , Reviewers, Document, López-Cabanillas, Néstor , Ellenbogen, Kenneth A. , Hua, Wei , Ikeda, Takanori , Mackall, Judith A. , Mela, Theofanie , Racenet, Laurel Kay, Mason, Pamela K, Moore, Jeremy P. , Dubin, Anne M , Zareba, Wojciech , Pathak, Rajeev K , Ellenbogen, Kenneth A , Patton, Kristen K. , Forno, Alexander Dal , Al‐Khatib, Sana M. , Ensch, Douglas P., Gopinathannair, Rakesh , Gorodeski, Eiran Z. , Huang, Weijian , Imrey, Peter B. , Karim, Saima , Kron, Jordana , Link, Mark S. , Marine, Joseph Edward , Park, Seung‐Jung , Shoda, Morio , Singh, Jagmeet P , Tang, W.H. Wilson , Tracy, Cynthia M. , Varma, Niraj , Vijayaraman, Pugazhendhi , Reviewers, Document, Mason, Pamela Kay , McLeod, Christopher J.
Journal of Arrhythmia | May 20, 2023 | Volume: 39 | Issue: 5 | Pages: 681-756
AbstractCardiac physiologic pacing (CPP), encompassing cardiac resynchronization therapy (CRT) and conduction system pacing (CSP), has emerged as a pacing therapy strategy that may mitigate or prevent the development of heart failure (HF) in patients with ventricular dyssynchrony or pacing‐induced cardiomyopathy. This clinical practice guideline is intended to provide guidance on indications for CRT for HF therapy and CPP in patients with pacemaker indications or HF, patient selection, pre‐procedure evaluation and preparation, implant procedure management, follow‐up evaluation and optimization of CPP response, and use in pediatric populations. Gaps in knowledge, pointing to new directions for future research, are also identified.
Prediction of Arteriovenous Fistula Clinical Maturation from Postoperative Ultrasound Measurements: Findings from the Hemodialysis Fistula Maturation Study
Robbin, Michelle L. , Greene, Tom , Allon, Michael , Dember, Laura M. , Imrey, Peter B. , Cheung, Alfred K. , Kaufman, James S. , Radeva, Milena , Shiu, Yan-Ting , Vazquez, Miguel A. , Umphrey, Heidi , Alexander, Lauren F. , Abts, C., Beck, Gerald J. , Kusek, John W., Feldman, Harold I. , Group, the Hemodialysis Fistula Maturation Study, Alexander, Lauren, Alexander, Lauren F , Greene, Tom , Himmelfarb, Jonathan , Huber, Thomas S. , Roy‐Chaudhury, Prabir , Group, the Hemodialysis Fistula Maturation Study
Journal of the American Society of Nephrology | October 11, 2018 | Volume: 29 | Issue: 11 | Pages: 2735-2744
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.