Nicole Karam1, Sophie Bataille2, Eloi Marijon2, Olivier Giovannetti2, Muriel Tafflet2, Dominique Savary2, Hakim Benamer2, Christophe Caussin2, Philippe Garot2, Jean-Michel Juliard2, Virginie Pires2, Thévy Boche2, François Dupas2, Gaelle Le Bail2, Lionel Lamhaut2, François Laborne2, Hugues Lefort2, Mireille Mapouata2, Frederic Lapostolle2, Christian Spaulding2, Jean-Philippe Empana2, Xavier Jouven2, Yves Lambert2. 1. From Sudden Death Expertise Center, Paris, France (N.K., E.M., M.T., C.S., J.-P.E., X.J.); Université Paris Descartes, Sorbonne Paris Cité, Paris, France (N.K., E.M., M.T., C.S., J.-P.E., X.J.); Cardiology Department, European Georges Pompidou Hospital-APHP, Paris, France (N.K., E.M., C.S., X.J.); Paris Cardiovascular Research Center, INSERM Unit 970, Paris, France (N.K., E.M., O.G., M.T., M.M., C.S., J.-P.E., X.J.); Regional Health Agency of Ile-de-France, Paris, France (S.B.); Emergency Department, Centre Hospitalier Régional d'Orléans, Orléans, France (O.G.); SAMU 74, Réanimation, Annecy, France (D.S.); Cardiology Department, Institut Cardiovasculaire Paris Sud, Massy, France (H.B.); Cardiology Department, Institut Mutualiste Montsouris, Paris, France (C.C.); Cardiology Department, Institut Cardiovasculaire Paris Sud, Quincy sous Sénart, France (P.G.); Cardiology Department, Bichat Hospital-APHP, Paris, France (J.-M.J.); SAMU 77, Melun Hospital, Melun, France (V.P.); SAMU 94, Mondor Hospital-APHP, Créteil, France (T.B.); SAMU 95, Pontoise Hospital, Pontoise, France (F.D.); SAMU 92, Garches Hospital-APHP, Garches, France (G.L.B.); SAMU 75, Necker Hospital-APHP, Paris, France (L.L.); SAMU 91, Sud Francilien Hospital, Corbeil-Essonnes, France (F.L.); Fire Brigade of Paris, Paris, France (H.L.); SAMU 93, Avicenne Hospital-APHP, Bobigny, France (F.L.); and SAMU 78, Versailles Hospital, Le Chesnay, France (Y.L.). nicole_karam@hotmail.com. 2. From Sudden Death Expertise Center, Paris, France (N.K., E.M., M.T., C.S., J.-P.E., X.J.); Université Paris Descartes, Sorbonne Paris Cité, Paris, France (N.K., E.M., M.T., C.S., J.-P.E., X.J.); Cardiology Department, European Georges Pompidou Hospital-APHP, Paris, France (N.K., E.M., C.S., X.J.); Paris Cardiovascular Research Center, INSERM Unit 970, Paris, France (N.K., E.M., O.G., M.T., M.M., C.S., J.-P.E., X.J.); Regional Health Agency of Ile-de-France, Paris, France (S.B.); Emergency Department, Centre Hospitalier Régional d'Orléans, Orléans, France (O.G.); SAMU 74, Réanimation, Annecy, France (D.S.); Cardiology Department, Institut Cardiovasculaire Paris Sud, Massy, France (H.B.); Cardiology Department, Institut Mutualiste Montsouris, Paris, France (C.C.); Cardiology Department, Institut Cardiovasculaire Paris Sud, Quincy sous Sénart, France (P.G.); Cardiology Department, Bichat Hospital-APHP, Paris, France (J.-M.J.); SAMU 77, Melun Hospital, Melun, France (V.P.); SAMU 94, Mondor Hospital-APHP, Créteil, France (T.B.); SAMU 95, Pontoise Hospital, Pontoise, France (F.D.); SAMU 92, Garches Hospital-APHP, Garches, France (G.L.B.); SAMU 75, Necker Hospital-APHP, Paris, France (L.L.); SAMU 91, Sud Francilien Hospital, Corbeil-Essonnes, France (F.L.); Fire Brigade of Paris, Paris, France (H.L.); SAMU 93, Avicenne Hospital-APHP, Bobigny, France (F.L.); and SAMU 78, Versailles Hospital, Le Chesnay, France (Y.L.).
Abstract
BACKGROUND: In-hospital mortality of ST-segment-elevation myocardial infarction (STEMI) has decreased drastically. In contrast, prehospital mortality from sudden cardiac arrest (SCA) remains high and difficult to reduce. Identification of the patients with STEMI at higher risk for prehospital SCA could facilitate rapid triage and intervention in the field. METHODS: Using a prospective, population-based study evaluating all patients with STEMI managed by emergency medical services in the greater Paris area (11.7 million inhabitants) between 2006 and 2010, we identified characteristics associated with an increased risk of prehospital SCA and used these variables to build an SCA prediction score, which we validated internally and externally. RESULTS: In the overall STEMI population (n=8112; median age, 60 years; 78% male), SCA occurred in 452 patients (5.6%). In multivariate analysis, younger age, absence of obesity, absence of diabetes mellitus, shortness of breath, and a short delay between pain onset and call to emergency medical services were the main predictors of SCA. A score built from these variables predicted SCA, with the risk increasing 2-fold in patients with a score between 10 and 19, 4-fold in those with a score between 20 and 29, and >18-fold in patients with a score ≥30 compared with those with scores <10. The SCA rate was 28.9% in patients with a score ≥30 compared with 1.6% in patients with a score ≤9 (P for trend <0.001). The area under the curve values were 0.7033 in the internal validation sample and 0.6031 in the external validation sample. Sensitivity and specificity varied between 96.9% and 10.5% for scores ≥10 and between 18.0% and 97.6% for scores ≥30, with scores between 20 and 29 achieving the best sensitivity and specificity (65.4% and 62.6%, respectively). CONCLUSIONS: At the early phase of STEMI, the risk of prehospital SCA can be determined through a simple score of 5 routinely assessed predictors. This score might help optimize the dispatching and management of patients with STEMI by emergency medical services.
BACKGROUND: In-hospital mortality of ST-segment-elevation myocardial infarction (STEMI) has decreased drastically. In contrast, prehospital mortality from sudden cardiac arrest (SCA) remains high and difficult to reduce. Identification of the patients with STEMI at higher risk for prehospital SCA could facilitate rapid triage and intervention in the field. METHODS: Using a prospective, population-based study evaluating all patients with STEMI managed by emergency medical services in the greater Paris area (11.7 million inhabitants) between 2006 and 2010, we identified characteristics associated with an increased risk of prehospital SCA and used these variables to build an SCA prediction score, which we validated internally and externally. RESULTS: In the overall STEMI population (n=8112; median age, 60 years; 78% male), SCA occurred in 452 patients (5.6%). In multivariate analysis, younger age, absence of obesity, absence of diabetes mellitus, shortness of breath, and a short delay between pain onset and call to emergency medical services were the main predictors of SCA. A score built from these variables predicted SCA, with the risk increasing 2-fold in patients with a score between 10 and 19, 4-fold in those with a score between 20 and 29, and >18-fold in patients with a score ≥30 compared with those with scores <10. The SCA rate was 28.9% in patients with a score ≥30 compared with 1.6% in patients with a score ≤9 (P for trend <0.001). The area under the curve values were 0.7033 in the internal validation sample and 0.6031 in the external validation sample. Sensitivity and specificity varied between 96.9% and 10.5% for scores ≥10 and between 18.0% and 97.6% for scores ≥30, with scores between 20 and 29 achieving the best sensitivity and specificity (65.4% and 62.6%, respectively). CONCLUSIONS: At the early phase of STEMI, the risk of prehospital SCA can be determined through a simple score of 5 routinely assessed predictors. This score might help optimize the dispatching and management of patients with STEMI by emergency medical services.
Authors: Stefan M Sattler; Anniek F Lubberding; Lasse Skibsbye; Reza Jabbari; Reza Wakili; Thomas Jespersen; Jacob Tfelt-Hansen Journal: J Cardiovasc Transl Res Date: 2019-01-07 Impact factor: 4.132
Authors: Stefan Michael Sattler; Lasse Skibsbye; Dominik Linz; Anniek Frederike Lubberding; Jacob Tfelt-Hansen; Thomas Jespersen Journal: Front Cardiovasc Med Date: 2019-11-05