BACKGROUND:Classifying patients with advanced congestive heart failure (CHF) by baseline measures of congestion and perfusion has been used to estimate hemodynamic status and to select and titrate therapy. We describe clinical characteristics of 4 hemodynamic profiles-wet/cold, wet/warm, dry/cold, and dry/warm-in patients with advanced CHF and assess relations between symptoms, physical signs, and outcomes with each profile. METHODS AND RESULTS: We retrospectively assessed baseline symptoms, physical-examination variables, and 1-year outcomes of 440 patients in a randomized trial. With univariable and multivariable logistic regression, we examined relations of physical-examination variables to hemodynamic profiles. We also assessed the rates of death and death or readmission by profile. Severity of CHF symptoms did not predict the wet-versus-dry profile or cold-versus-warm status, despite significant differences in hemodynamics among groups. Of the physical-examination variables, only a lower proportional pulse pressure was a significant multivariable predictor of the wet category. Among wet patients (n = 348), this same variable was the only significant multivariable predictor of the cold category. For dry patients (n = 92), the cold category was predicted in multivariable analysis by supine heart rate and hepatomegaly. Survival was similar among profiles: wet/cold, 54.2% (n = 91); wet/warm, 58.3% (n = 105); dry/cold, 78.9% (n = 15); and dry/warm, 67.1%, P =.13 (n = 49). Event-free survival also was similar among profiles: wet/cold, 22.0% (n = 37); wet/warm, 29.4% (n = 53); dry/cold, 42.1% (n = 8); and dry/warm, 31.5%, P =.44 (n = 23). CONCLUSIONS: The patient's history and physical examination alone may lead to inaccurate estimation of hemodynamic status and thus suboptimal management for patients with advanced CHF.
RCT Entities:
BACKGROUND: Classifying patients with advanced congestive heart failure (CHF) by baseline measures of congestion and perfusion has been used to estimate hemodynamic status and to select and titrate therapy. We describe clinical characteristics of 4 hemodynamic profiles-wet/cold, wet/warm, dry/cold, and dry/warm-in patients with advanced CHF and assess relations between symptoms, physical signs, and outcomes with each profile. METHODS AND RESULTS: We retrospectively assessed baseline symptoms, physical-examination variables, and 1-year outcomes of 440 patients in a randomized trial. With univariable and multivariable logistic regression, we examined relations of physical-examination variables to hemodynamic profiles. We also assessed the rates of death and death or readmission by profile. Severity of CHF symptoms did not predict the wet-versus-dry profile or cold-versus-warm status, despite significant differences in hemodynamics among groups. Of the physical-examination variables, only a lower proportional pulse pressure was a significant multivariable predictor of the wet category. Among wet patients (n = 348), this same variable was the only significant multivariable predictor of the cold category. For dry patients (n = 92), the cold category was predicted in multivariable analysis by supine heart rate and hepatomegaly. Survival was similar among profiles: wet/cold, 54.2% (n = 91); wet/warm, 58.3% (n = 105); dry/cold, 78.9% (n = 15); and dry/warm, 67.1%, P =.13 (n = 49). Event-free survival also was similar among profiles: wet/cold, 22.0% (n = 37); wet/warm, 29.4% (n = 53); dry/cold, 42.1% (n = 8); and dry/warm, 31.5%, P =.44 (n = 23). CONCLUSIONS: The patient's history and physical examination alone may lead to inaccurate estimation of hemodynamic status and thus suboptimal management for patients with advanced CHF.
Authors: Mark H Drazner; Anne S Hellkamp; Carl V Leier; Monica R Shah; Leslie W Miller; Stuart D Russell; James B Young; Robert M Califf; Anju Nohria Journal: Circ Heart Fail Date: 2008-09 Impact factor: 8.790
Authors: Saima Husain; Salpy V Pamboukian; Josè A Tallaj; David C McGiffin; Robert C Bourge Journal: Curr Cardiol Rep Date: 2009-05 Impact factor: 2.931
Authors: Michael S Kiernan; E Wilson Grandin; Marshall Brinkley; Navin K Kapur; Duc Thinh Pham; Robin Ruthazer; J Eduardo Rame; Pavan Atluri; Edo Y Birati; Guilherme H Oliveira; Francis D Pagani; James K Kirklin; David Naftel; Robert L Kormos; Jeffrey J Teuteberg; David DeNofrio Journal: Circ Heart Fail Date: 2017-10 Impact factor: 8.790
Authors: Amer H S Aljundi; Shaban F K Mohammed; Ashfaq Patel; Rajvir Singh; Abdulrahman Arabi; Hajar A AlBinali; Jassim Al Suwaidi Journal: BMC Cardiovasc Disord Date: 2016-02-19 Impact factor: 2.298
Authors: Corstiaan A den Uil; Wim K Lagrand; Martin van der Ent; Koen Nieman; Ard Struijs; Lucia S D Jewbali; Alina A Constantinescu; Peter E Spronk; Maarten L Simoons Journal: PLoS One Date: 2014-08-01 Impact factor: 3.240
Authors: Tariq Ahmad; Nihar Desai; Francis Wilson; Phillip Schulte; Allison Dunning; Daniel Jacoby; Larry Allen; Mona Fiuzat; Joseph Rogers; G Michael Felker; Christopher O'Connor; Chetan B Patel Journal: PLoS One Date: 2016-02-03 Impact factor: 3.240