BACKGROUND: The patients' misinterpretation of symptoms of an evolving acute myocardial infarction (AMI) is a major cause for prolonged pre-hospital delays. The objective of this study was to identify factors associated with an attribution of the symptoms to the heart and to investigate the association between symptom misinterpretation and time until first medical contact (delay time). METHODS: The study population comprised 1,684 men and 559 women, aged 25-74 years, hospitalized with a first-time AMI recruited from a population-based AMI Registry. RESULTS: A total of 50.3 % of the patients attributed their experienced symptoms to the heart. Logistic regression modeling revealed that symptoms like chest pain, pain in the left upper extremity, and fear of death facilitated a correct attribution to the heart, whereas symptoms like vomiting or pain in the right upper extremity made a correct labeling difficult. Female sex, low educational status, migration background, and current smoking were associated with a higher risk of misinterpretation of symptoms. A family history of AMI or a history of angina pectoris, hypertension, and hyperlipidemia were shown to facilitate a correct interpretation of symptoms. Variables associated with a misinterpretation of symptoms did not significantly differ between men and women. People with misinterpretation of symptoms had a 1.59-fold risk (95 % confidence interval 1.33-1.90) to have a delay time of at least 2 h, compared with persons who correctly attributed their symptoms. CONCLUSIONS: Symptom misinterpretation is common among patients with AMI, significantly related to symptoms, sociodemographic characteristics and individual risk factors, and associated with a prolonged delay time.
BACKGROUND: The patients' misinterpretation of symptoms of an evolving acute myocardial infarction (AMI) is a major cause for prolonged pre-hospital delays. The objective of this study was to identify factors associated with an attribution of the symptoms to the heart and to investigate the association between symptom misinterpretation and time until first medical contact (delay time). METHODS: The study population comprised 1,684 men and 559 women, aged 25-74 years, hospitalized with a first-time AMI recruited from a population-based AMI Registry. RESULTS: A total of 50.3 % of the patients attributed their experienced symptoms to the heart. Logistic regression modeling revealed that symptoms like chest pain, pain in the left upper extremity, and fear of death facilitated a correct attribution to the heart, whereas symptoms like vomiting or pain in the right upper extremity made a correct labeling difficult. Female sex, low educational status, migration background, and current smoking were associated with a higher risk of misinterpretation of symptoms. A family history of AMI or a history of angina pectoris, hypertension, and hyperlipidemia were shown to facilitate a correct interpretation of symptoms. Variables associated with a misinterpretation of symptoms did not significantly differ between men and women. People with misinterpretation of symptoms had a 1.59-fold risk (95 % confidence interval 1.33-1.90) to have a delay time of at least 2 h, compared with persons who correctly attributed their symptoms. CONCLUSIONS: Symptom misinterpretation is common among patients with AMI, significantly related to symptoms, sociodemographic characteristics and individual risk factors, and associated with a prolonged delay time.
Authors: Ulrike M Müller; Ingo Eitel; Kristina Eckrich; Sandra Erbs; Axel Linke; Sven Möbius-Winkler; Meinhard Mende; Gerhard C Schuler; Holger Thiele Journal: Clin Res Cardiol Date: 2010-10-24 Impact factor: 5.460
Authors: Aileen P McGinn; Wayne D Rosamond; David C Goff; Herman A Taylor; J Shawn Miles; Lloyd Chambless Journal: Am Heart J Date: 2005-09 Impact factor: 4.749
Authors: Kurt J Greenlund; Nora L Keenan; Wayne H Giles; Zhi Jie Zheng; Linda J Neff; Janet B Croft; George A Mensah Journal: Am Heart J Date: 2004-06 Impact factor: 4.749
Authors: Jane S Saczynski; Jorge Yarzebski; Darleen Lessard; Frederick A Spencer; Jerry H Gurwitz; Joel M Gore; Robert J Goldberg Journal: Am J Cardiol Date: 2008-10-30 Impact factor: 2.778
Authors: Judith M Poldervaart; A Jacob Six; Barbra E Backus; Hector W L de Beaufort; Maarten-Jan M Cramer; Rolf F Veldkamp; E Gijs Mast; Eugène M Buijs; Wouter J Tietge; Björn E Groenemeijer; Luc Cozijnsen; Alexander J Wardeh; Hester M den Ruiter; Pieter A Doevendans Journal: Clin Res Cardiol Date: 2013-01-03 Impact factor: 5.460
Authors: Jean C McSweeney; Anne G Rosenfeld; Willie M Abel; Lynne T Braun; Lora E Burke; Stacie L Daugherty; Gerald F Fletcher; Martha Gulati; Laxmi S Mehta; Christina Pettey; Jane F Reckelhoff Journal: Circulation Date: 2016-02-29 Impact factor: 29.690
Authors: Gregory M Ouellet; Mary Geda; Terrence E Murphy; Sui Tsang; Mary E Tinetti; Sarwat I Chaudhry Journal: J Am Geriatr Soc Date: 2017-10-18 Impact factor: 5.562
Authors: Monica Parry; Harriette G C Van Spall; Kerri-Anne Mullen; Sharon L Mulvagh; Christine Pacheco; Tracey J F Colella; Marie-Annick Clavel; Shahin Jaffer; Heather J A Foulds; Jasmine Grewal; Marsha Hardy; Jennifer A D Price; Anna L E Levinsson; Christine A Gonsalves; Colleen M Norris Journal: CJC Open Date: 2022-04-19
Authors: F Breuckmann; F Remberg; D Böse; M Lichtenberg; P Kümpers; H Pavenstädt; J Waltenberger; D Fischer Journal: Herz Date: 2015-09-25 Impact factor: 1.443
Authors: Jeong Su Kim; Chang Hoon Kim; Kook Jin Chun; June Hong Kim; Yong Hyun Park; Jun Kim; Jin Hee Choi; Sang Hyun Lee; Eun Jung Kim; Dae Gon Yu; Eun Young Ahn; Myung Ho Jeong Journal: Clin Res Cardiol Date: 2013-08-28 Impact factor: 5.460