COMPERA 2.0: a refined four-stratum risk assessment model for pulmonary arterial hypertension
Background Risk stratification plays an essential role in the management of patients with pulmonary arterial hypertension (PAH). The current European guidelines propose a three-stratum model to categorise risk as low, intermediate or high, based on the expected 1-year mortality. However, with this m...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
July 7, 2022
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| In: |
The European respiratory journal
Year: 2022, Volume: 60, Issue: 1, Pages: 1-12 |
| ISSN: | 1399-3003 |
| DOI: | 10.1183/13993003.02311-2021 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1183/13993003.02311-2021 Verlag, lizenzpflichtig, Volltext: https://erj.ersjournals.com/content/60/1/2102311 
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| Author Notes: | Marius M. Hoeper, Christine Pausch, Karen M. Olsson, Doerte Huscher, David Pittrow, Ekkehard Grünig, Gerd Staehler, Carmine Dario Vizza, Henning Gall, Oliver Distler, Christian Opitz, J. Simon R. Gibbs, Marion Delcroix, H. Ardeschir Ghofrani, Da-Hee Park, Ralf Ewert, Harald Kaemmerer, Hans-Joachim Kabitz, Dirk Skowasch, Juergen Behr, Katrin Milger, Michael Halank, Heinrike Wilkens, Hans-Jürgen Seyfarth, Matthias Held, Daniel Dumitrescu, Iraklis Tsangaris, Anton Vonk-Noordegraaf, Silvia Ulrich, Hans Klose, Martin Claussen, Tobias J. Lange and Stephan Rosenkranz |
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| 245 | 1 | 0 | |a COMPERA 2.0 |b a refined four-stratum risk assessment model for pulmonary arterial hypertension |c Marius M. Hoeper, Christine Pausch, Karen M. Olsson, Doerte Huscher, David Pittrow, Ekkehard Grünig, Gerd Staehler, Carmine Dario Vizza, Henning Gall, Oliver Distler, Christian Opitz, J. Simon R. Gibbs, Marion Delcroix, H. Ardeschir Ghofrani, Da-Hee Park, Ralf Ewert, Harald Kaemmerer, Hans-Joachim Kabitz, Dirk Skowasch, Juergen Behr, Katrin Milger, Michael Halank, Heinrike Wilkens, Hans-Jürgen Seyfarth, Matthias Held, Daniel Dumitrescu, Iraklis Tsangaris, Anton Vonk-Noordegraaf, Silvia Ulrich, Hans Klose, Martin Claussen, Tobias J. Lange and Stephan Rosenkranz |
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| 520 | |a Background Risk stratification plays an essential role in the management of patients with pulmonary arterial hypertension (PAH). The current European guidelines propose a three-stratum model to categorise risk as low, intermediate or high, based on the expected 1-year mortality. However, with this model, most patients are categorised as intermediate risk. We investigated a modified approach based on four risk categories, with intermediate risk subdivided into intermediate-low and intermediate-high risk. - Methods We analysed data from the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA), a European pulmonary hypertension registry, and calculated risk at diagnosis and first follow-up based on World Health Organization functional class, 6-min walk distance (6MWD) and serum levels of brain natriuretic peptide (BNP) or N-terminal pro-BNP (NT-proBNP), using refined cut-off values. Survival was assessed using Kaplan-Meier analyses, log-rank testing and Cox proportional hazards models. - Results Data from 1655 patients with PAH were analysed. Using the three-stratum model, most patients were classified as intermediate risk (76.0% at baseline and 63.9% at first follow-up). The refined four-stratum risk model yielded a more nuanced separation and predicted long-term survival, especially at follow-up assessment. Changes in risk from baseline to follow-up were observed in 31.1% of the patients with the three-stratum model and in 49.2% with the four-stratum model. These changes, including those between the intermediate-low and intermediate-high strata, were associated with changes in long-term mortality risk. - Conclusions Modified risk stratification using a four-stratum model based on refined cut-off levels for functional class, 6MWD and BNP/NT-proBNP was more sensitive to prognostically relevant changes in risk than the original three-stratum model. - Tweetable abstract ERSpublications - click to tweetCOMPERA 2.0, a four-stratum risk assessment model based on refined cut-off levels for functional class, 6MWD and BNP/NT-proBNP was more sensitive to prognostically significant changes in risk than the original three-stratum model https://bit.ly/3mzPKjA | ||
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| 700 | 1 | |a Olsson, Karen M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Huscher, Doerte |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pittrow, David |e VerfasserIn |4 aut | |
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| 700 | 1 | |a Staehler, Gerd |e VerfasserIn |4 aut | |
| 700 | 1 | |a Vizza, Carmine Dario |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gall, Henning |e VerfasserIn |4 aut | |
| 700 | 1 | |a Distler, Oliver |e VerfasserIn |4 aut | |
| 700 | 1 | |a Opitz, Christian |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gibbs, J. Simon R. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Delcroix, Marion |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ghofrani, H. Ardeschir |e VerfasserIn |4 aut | |
| 700 | 1 | |a Park, Da-Hee |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ewert, Ralf |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kaemmerer, Harald |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kabitz, Hans-Joachim |e VerfasserIn |4 aut | |
| 700 | 1 | |a Skowasch, Dirk |e VerfasserIn |4 aut | |
| 700 | 1 | |a Behr, Juergen |e VerfasserIn |4 aut | |
| 700 | 1 | |a Milger, Katrin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Halank, Michael |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wilkens, Heinrike |e VerfasserIn |4 aut | |
| 700 | 1 | |a Seyfarth, Hans-Jürgen |e VerfasserIn |4 aut | |
| 700 | 1 | |a Held, Matthias |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dumitrescu, Daniel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tsangaris, Iraklis |e VerfasserIn |4 aut | |
| 700 | 1 | |a Vonk-Noordegraaf, Anton |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ulrich, Silvia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Klose, Hans |e VerfasserIn |4 aut | |
| 700 | 1 | |a Claussen, Martin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Lange, Tobias J. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Rosenkranz, Stephan |e VerfasserIn |4 aut | |
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