Damien J LaPar1, Donald S Likosky2, Min Zhang2, Patty Theurer2, C Edwin Fonner3, John A Kern1, Steven F Bolling2, Daniel H Drake4, Alan M Speir5, Jeffrey B Rich3, Irving L Kron1, Richard L Prager2, Gorav Ailawadi6. 1. Department of Surgery, University of Virginia, Charlottesville, Virginia. 2. Department of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan. 3. Virginia Cardiac Surgery Quality Initiative, Charlottesville, Virginia. 4. Department of Cardiothoracic Surgery, Cardiothoracic Surgeons of Grand Traverse, Traverse City, Michigan. 5. Department of Cardiac Surgery, Inova Heart and Vascular Institute, Falls Church, Virginia. 6. Department of Surgery, University of Virginia, Charlottesville, Virginia. Electronic address: gorav@virginia.edu.
Abstract
BACKGROUND: Although tricuspid valve operations remain associated with high mortality (approximately 8% to 10%), no robust prediction models exist to support clinical decision making. We developed a preoperative clinical risk model with an easily calculable clinical risk score (CRS) to predict mortality and major morbidity after isolated tricuspid valve surgery. METHODS: The Society of Thoracic Surgeons database records were evaluated for 2,050 isolated TV repair and replacement operations for any etiology performed at 50 hospitals (2002 to 2014) in a number of states. Parsimonious preoperative risk prediction models were developed using multiple-level mixed effects regression to estimate mortality and composite major morbidity risk. Model results were utilized to establish a novel CRS for patients undergoing tricuspid valve operations. Models were evaluated for discrimination and calibration. RESULTS: Operative mortality and composite major morbidity rates were 9% and 42%, respectively. Final regression models performed well (both p < 0.001; areas under the receiver-operating characteristics curve 0.74 and 0.76) and included preoperative factors: age, sex, stroke, hemodialysis, ejection fraction, lung disease, New York Heart Association class, reoperation, and urgent or emergency status (all p < 0.05). A simple CRS from 0 to 10+ was highly associated (p < 0.001) with incremental increases in predicted mortality and major morbidity. Predicted mortality risk ranged from 2% to 34% across CRS categories, and predicted major morbidity risk ranged from 13% to 71%. CONCLUSIONS: Mortality and major morbidity after isolated tricuspid valve surgery can be predicted using preoperative patient data from The Society of Thoracic Surgeons National Adult Cardiac Database. A simple clinical risk score predicts mortality and major morbidity after isolated tricuspid valve surgery. This score may facilitate perioperative counseling and identification of suitable patients for tricuspid valve surgery.
BACKGROUND: Although tricuspid valve operations remain associated with high mortality (approximately 8% to 10%), no robust prediction models exist to support clinical decision making. We developed a preoperative clinical risk model with an easily calculable clinical risk score (CRS) to predict mortality and major morbidity after isolated tricuspid valve surgery. METHODS: The Society of Thoracic Surgeons database records were evaluated for 2,050 isolated TV repair and replacement operations for any etiology performed at 50 hospitals (2002 to 2014) in a number of states. Parsimonious preoperative risk prediction models were developed using multiple-level mixed effects regression to estimate mortality and composite major morbidity risk. Model results were utilized to establish a novel CRS for patients undergoing tricuspid valve operations. Models were evaluated for discrimination and calibration. RESULTS: Operative mortality and composite major morbidity rates were 9% and 42%, respectively. Final regression models performed well (both p < 0.001; areas under the receiver-operating characteristics curve 0.74 and 0.76) and included preoperative factors: age, sex, stroke, hemodialysis, ejection fraction, lung disease, New York Heart Association class, reoperation, and urgent or emergency status (all p < 0.05). A simple CRS from 0 to 10+ was highly associated (p < 0.001) with incremental increases in predicted mortality and major morbidity. Predicted mortality risk ranged from 2% to 34% across CRS categories, and predicted major morbidity risk ranged from 13% to 71%. CONCLUSIONS: Mortality and major morbidity after isolated tricuspid valve surgery can be predicted using preoperative patient data from The Society of Thoracic Surgeons National Adult Cardiac Database. A simple clinical risk score predicts mortality and major morbidity after isolated tricuspid valve surgery. This score may facilitate perioperative counseling and identification of suitable patients for tricuspid valve surgery.
Authors: Benjamin A Orkild; Brian Zenger; Krithika Iyer; Lindsay C Rupp; Majd M Ibrahim; Atefeh G Khashani; Maura D Perez; Markus D Foote; Jake A Bergquist; Alan K Morris; Jiwon J Kim; Benjamin A Steinberg; Craig Selzman; Mark B Ratcliffe; Rob S MacLeod; Shireen Elhabian; Ashley E Morgan Journal: Front Physiol Date: 2022-06-02 Impact factor: 4.755
Authors: Tom Kai Ming Wang; Brian P Griffin; Rhonda Miyasaka; Bo Xu; Zoran B Popovic; Gosta B Pettersson; Alan Marc Gillinov; Milind Y Desai Journal: Open Heart Date: 2020-03-17