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10.1016/j.hfc.2014.04.008 http://scihub22266oqcxt.onion/10.1016/j.hfc.2014.04.008 C4076705!4076705!24975905     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Heart+Fail+Clin 2014 ; 10 (3): 407-18 Nephropedia Template TP {{tp|p=24975905|t=2014. Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction |pdf=|usr=}}{{24975905}} gab.com Text Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction JO: Heart Fail Clin http://www.kidney.de/pget.php?&tw=1&pmid=24975905 #FOAvip Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome, with several underlying etiologic and pathophysiologic factors. While prior heart failure clinical trials have used a ?one size fits all? approach, this approach has not proven successful for HFpEF. Furthermore, with the aging population and epidemics of obesity, diabetes, and hypertension, the prevalence of HFpEF will continue to grow over the foreseeable future. Coupled with the high morbidity and mortality of the HFpEF syndrome, there remains a pressing unmet need to improve the clinical care of HFpEF patients and to design better HFpEF clinical trials. Improved classification of the wide HFpEF phenotypic spectrum is therefore essential to advance the HFpEF field and begin to provide targeted treatment for these patients. Here we describe 4 potential classification schemas for HFpEF: (1) pathophysiologic classification; (2) clinical/etiologic classification; (3) classification based on type of clinical presentation; and (4) phenomics (?phenomapping?) of HFpEF. Improved phenotypic categorization of HFpEF using these schemas is now possible given the multitude of tools available to perform ?dense phenotyping? of HFpEF patients. Such categorization should lead to clinical care and clinical trials where targeted therapies based on specific mechanisms of disease can be matched to the specific patient subtypes most likely to respond to those therapies. In addition, innovative analytic strategies, such as ?phenomapping?, may allow for the use of dense multi-dimensional data to create novel phenotypic signatures, which should help identify HFpEF patients who are particularly responsive to specific treatments. Twit Text FOAVip Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction ????Heart Fail Clin http://www.kidney.de/pget.php?&tw=1&pmid=24975905 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24975905 #FOAvip English Wikipedia <ref>{{Cite pmid|24975905}}</ref> Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction #MMPMID24975905 Shah SJ; Katz DH; Deo RC Heart Fail Clin 2014[Jul]; 10 (3): 407-18 PMID24975905show ga Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome, with several underlying etiologic and pathophysiologic factors. While prior heart failure clinical trials have used a ?one size fits all? approach, this approach has not proven successful for HFpEF. Furthermore, with the aging population and epidemics of obesity, diabetes, and hypertension, the prevalence of HFpEF will continue to grow over the foreseeable future. Coupled with the high morbidity and mortality of the HFpEF syndrome, there remains a pressing unmet need to improve the clinical care of HFpEF patients and to design better HFpEF clinical trials. Improved classification of the wide HFpEF phenotypic spectrum is therefore essential to advance the HFpEF field and begin to provide targeted treatment for these patients. Here we describe 4 potential classification schemas for HFpEF: (1) pathophysiologic classification; (2) clinical/etiologic classification; (3) classification based on type of clinical presentation; and (4) phenomics (?phenomapping?) of HFpEF. Improved phenotypic categorization of HFpEF using these schemas is now possible given the multitude of tools available to perform ?dense phenotyping? of HFpEF patients. Such categorization should lead to clinical care and clinical trials where targeted therapies based on specific mechanisms of disease can be matched to the specific patient subtypes most likely to respond to those therapies. In addition, innovative analytic strategies, such as ?phenomapping?, may allow for the use of dense multi-dimensional data to create novel phenotypic signatures, which should help identify HFpEF patients who are particularly responsive to specific treatments. äPhenotypic Spectrum of Heart Failure with Preserved Ejection Fraction (epmc).pdf DeepDyve Pubget Overpricing