Abstract The demands on a pulmonary arterial hypertension (PAH) treatment algorithm are multiple and in some ways conflicting. The treatment algorithm usually includes different types of recommendations with varying degrees of scientific evidence. In addition, the algorithm is required to be comprehensive but not too complex, informative yet simple and straightforward. The type of information in the treatment algorithm are heterogeneous including clinical, hemodynamic, medical, interventional, pharmacological and regulatory recommendations. Stakeholders (or users) including physicians from various specialties and with variable expertise in PAH, nurses, patients and patients' associations, healthcare providers, regulatory agencies and industry are often interested in the PAH treatment algorithm for different reasons. These are the considerable challenges faced when proposing appropriate updates to the current evidence-based treatment algorithm.The current treatment algorithm may be divided into 3 main areas: 1) general measures, supportive therapy, referral strategy, acute vasoreactivity testing and chronic treatment with calcium channel blockers; 2) initial therapy with approved PAH drugs; and 3) clinical response to the initial therapy, combination therapy, balloon atrial septostomy, and lung transplantation. All three sections will be revisited highlighting information newly available in the past 5 years and proposing updates where appropriate. The European Society of Cardiology grades of recommendation and levels of evidence will be adopted to rank the proposed treatments.

Updated Treatment Algorithm of Pulmonary Arterial Hypertension / Nazzareno Galiè;Paul A. Corris;Adaani Frost;Reda E. Girgis;John Granton;Zhi Cheng Jing;Walter Klepetko;Michael D. McGoon;Vallerie V. McLaughlin;Ioana R. Preston;Lewis J. Rubin;Julio Sandoval;Werner Seeger;Anne Keogh. - In: JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY. - ISSN 0735-1097. - STAMPA. - 62:(2013), pp. D60-D72. [10.1016/j.jacc.2013.10.031]

Updated Treatment Algorithm of Pulmonary Arterial Hypertension

GALIE', NAZZARENO;
2013

Abstract

Abstract The demands on a pulmonary arterial hypertension (PAH) treatment algorithm are multiple and in some ways conflicting. The treatment algorithm usually includes different types of recommendations with varying degrees of scientific evidence. In addition, the algorithm is required to be comprehensive but not too complex, informative yet simple and straightforward. The type of information in the treatment algorithm are heterogeneous including clinical, hemodynamic, medical, interventional, pharmacological and regulatory recommendations. Stakeholders (or users) including physicians from various specialties and with variable expertise in PAH, nurses, patients and patients' associations, healthcare providers, regulatory agencies and industry are often interested in the PAH treatment algorithm for different reasons. These are the considerable challenges faced when proposing appropriate updates to the current evidence-based treatment algorithm.The current treatment algorithm may be divided into 3 main areas: 1) general measures, supportive therapy, referral strategy, acute vasoreactivity testing and chronic treatment with calcium channel blockers; 2) initial therapy with approved PAH drugs; and 3) clinical response to the initial therapy, combination therapy, balloon atrial septostomy, and lung transplantation. All three sections will be revisited highlighting information newly available in the past 5 years and proposing updates where appropriate. The European Society of Cardiology grades of recommendation and levels of evidence will be adopted to rank the proposed treatments.
2013
Updated Treatment Algorithm of Pulmonary Arterial Hypertension / Nazzareno Galiè;Paul A. Corris;Adaani Frost;Reda E. Girgis;John Granton;Zhi Cheng Jing;Walter Klepetko;Michael D. McGoon;Vallerie V. McLaughlin;Ioana R. Preston;Lewis J. Rubin;Julio Sandoval;Werner Seeger;Anne Keogh. - In: JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY. - ISSN 0735-1097. - STAMPA. - 62:(2013), pp. D60-D72. [10.1016/j.jacc.2013.10.031]
Nazzareno Galiè;Paul A. Corris;Adaani Frost;Reda E. Girgis;John Granton;Zhi Cheng Jing;Walter Klepetko;Michael D. McGoon;Vallerie V. McLaughlin;Ioana R. Preston;Lewis J. Rubin;Julio Sandoval;Werner Seeger;Anne Keogh
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/275712
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