BACKGROUND: Gastrointestinal bleeding (GIB) is a leading cause of morbidity during continuous-flow left ventricular assist device (CF-LVAD) support. GIB risk assessment could have important implications for candidate selection, informed consent, and postimplant therapeutic strategies. The aim of the study is to derive and validate a predictive model of GIB in CF-LVAD patients. METHODS AND RESULTS: CF-LVAD recipients at the Utah Transplantation Affiliated Hospitals program between 2004 and 2017 were included. GIB associated with a decrease in hemoglobin ≥2 g/dL was the primary end point. A weighted score comprising preimplant variables independently associated with GIB was derived and internally validated. A total of 351 patients (median age, 59 years; 82% male) were included. After a median of 196 days, GIB occurred in 120 (34%) patients. Independent predictors of GIB included age >54 years, history of previous bleeding, coronary artery disease, chronic kidney disease, severe right ventricular dysfunction, mean pulmonary artery pressure <18 mm Hg, and fasting glucose >107 mg/dL. A weighted score termed Utah bleeding risk score, effectively stratified patients based on their probability of GIB: low (0-1 points) 4.8%, intermediate (2-4) 39.8%, and high risk (5-9) 83.8%. Discrimination was good in the development sample (c-index: 0.83) and after internal bootstrap validation (c-index: 0.74). CONCLUSIONS: The novel Utah bleeding risk score is a simple tool that can provide personalized GIB risk estimates in CF-LVAD patients. This scoring system may assist clinicians and investigators in designing tailored risk-based strategies aimed at reducing the burden posed by GIB in the individual CF-LVAD patient and healthcare systems.
BACKGROUND:Gastrointestinal bleeding (GIB) is a leading cause of morbidity during continuous-flow left ventricular assist device (CF-LVAD) support. GIB risk assessment could have important implications for candidate selection, informed consent, and postimplant therapeutic strategies. The aim of the study is to derive and validate a predictive model of GIB in CF-LVADpatients. METHODS AND RESULTS:CF-LVAD recipients at the Utah Transplantation Affiliated Hospitals program between 2004 and 2017 were included. GIB associated with a decrease in hemoglobin ≥2 g/dL was the primary end point. A weighted score comprising preimplant variables independently associated with GIB was derived and internally validated. A total of 351 patients (median age, 59 years; 82% male) were included. After a median of 196 days, GIB occurred in 120 (34%) patients. Independent predictors of GIB included age >54 years, history of previous bleeding, coronary artery disease, chronic kidney disease, severe right ventricular dysfunction, mean pulmonary artery pressure <18 mm Hg, and fasting glucose >107 mg/dL. A weighted score termed Utah bleeding risk score, effectively stratified patients based on their probability of GIB: low (0-1 points) 4.8%, intermediate (2-4) 39.8%, and high risk (5-9) 83.8%. Discrimination was good in the development sample (c-index: 0.83) and after internal bootstrap validation (c-index: 0.74). CONCLUSIONS: The novel Utah bleeding risk score is a simple tool that can provide personalized GIB risk estimates in CF-LVADpatients. This scoring system may assist clinicians and investigators in designing tailored risk-based strategies aimed at reducing the burden posed by GIB in the individual CF-LVADpatient and healthcare systems.
Authors: Nicholas McNamara; Harry Narroway; Michael Williams; John Brookes; James Farag; David Cistulli; Paul Bannon; Silvana Marasco; Evgenij Potapov; Antonio Loforte Journal: Ann Cardiothorac Surg Date: 2021-03
Authors: Nikolaos A Diakos; Iosif Taleb; Christos P Kyriakopoulos; Kevin S Shah; Hadi Javan; Tyler J Richins; Michael Y Yin; Chi-Gang Yen; Elizabeth Dranow; Michael J Bonios; Rami Alharethi; Antigone G Koliopoulou; Mariam Taleb; James C Fang; Craig H Selzman; Konstantinos Stellos; Stavros G Drakos Journal: J Am Heart Assoc Date: 2021-10-01 Impact factor: 5.501
Authors: Michael E Plazak; Stephen J Hankinson; Erik N Sorensen; Brent N Reed; Bharath Ravichandran; Van-Khue Ton Journal: J Cardiovasc Transl Res Date: 2020-11-11 Impact factor: 4.132