Literature DB >> 8416322

Value of the history and physical in identifying patients at increased risk for coronary artery disease.

D B Pryor1, L Shaw, C B McCants, K L Lee, D B Mark, F E Harrell, L H Muhlbaier, R M Califf.   

Abstract

OBJECTIVE: To determine whether information from the physician's initial evaluation of patients with suspected coronary artery disease predicts coronary anatomy at catheterization and 3-year survival.
DESIGN: Prospective validation of regression model estimates in an outpatient cohort.
SETTING: University medical center. PATIENTS: A total of 1030 consecutive outpatients referred for noninvasive testing for suspected coronary artery disease; 168 of these patients subsequently underwent catheterization within 90 days. MEASUREMENTS: Information from the initial history, physical examination, electrocardiogram, and chest radiograph was used to predict coronary anatomy (the likelihood of any significant coronary disease, severe disease [left main or three-vessel], and significant left main disease) among 168 catheterized patients and to estimate 3-year survival among all patients. These estimates were compared with those based on treadmill testing. Cardiovascular testing charges were calculated for all patients.
RESULTS: Predicted coronary anatomy and survival closely corresponded to actual findings. Compared with the treadmill exercise test, initial evaluation was slightly better able to distinguish patients with or without any coronary disease and was similar in the ability to identify patients at increased risk for dying or with anatomically severe disease. Based on arbitrary definitions, 37% to 66% of patients were at low risk and responsible for 31% to 56% of the charges for cardiovascular testing.
CONCLUSIONS: The physician's initial evaluation, despite the subjective nature of much of the information gathered, can be used to identify patients likely to benefit from further testing. The development of strategies for cost-conscious quality care must begin with the history, physical examination, and simple laboratory testing.

Entities:  

Mesh:

Year:  1993        PMID: 8416322     DOI: 10.7326/0003-4819-118-2-199301150-00001

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  112 in total

1.  Three decades of research on computer applications in health care: medical informatics support at the Agency for Healthcare Research and Quality.

Authors:  J Michael Fitzmaurice; Karen Adams; John M Eisenberg
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

2.  DNA double-strand breaks as potential indicators for the biological effects of ionising radiation exposure from cardiac CT and conventional coronary angiography: a randomised, controlled study.

Authors:  Dominik Geisel; Elke Zimmermann; Matthias Rief; Johannes Greupner; Michael Laule; Fabian Knebel; Bernd Hamm; Marc Dewey
Journal:  Eur Radiol       Date:  2012-04-17       Impact factor: 5.315

3.  A qualitative and quantitative assessment of the impact of three processing algorithms with halving of study count statistics in myocardial perfusion imaging: filtered backprojection, maximal likelihood expectation maximisation and ordered subset expectation maximisation with resolution recovery.

Authors:  B N Modi; J L E Brown; G Kumar; R M Driver; A D Kelion; A M Peters; J C Fowler
Journal:  J Nucl Cardiol       Date:  2012-06-30       Impact factor: 5.952

4.  Improved cardiac risk assessment with noninvasive measures of coronary flow reserve.

Authors:  Venkatesh L Murthy; Masanao Naya; Courtney R Foster; Jon Hainer; Mariya Gaber; Gilda Di Carli; Ron Blankstein; Sharmila Dorbala; Arkadiusz Sitek; Michael J Pencina; Marcelo F Di Carli
Journal:  Circulation       Date:  2011-10-17       Impact factor: 29.690

5.  Some highlights of a 47 year career in research.

Authors:  Ferid Murad
Journal:  Cell Mol Life Sci       Date:  2005-01       Impact factor: 9.261

Review 6.  Assessing clinical impact of myocardial perfusion studies: ischemia or other prognostic indicators?

Authors:  Todd D Miller; John Wells Askew; Joerg Herrmann
Journal:  Curr Cardiol Rep       Date:  2014-04       Impact factor: 2.931

7.  Development of new risk score for pre-test probability of obstructive coronary artery disease based on coronary CT angiography.

Authors:  Shinichiro Fujimoto; Takeshi Kondo; Hideya Yamamoto; Naoyuki Yokoyama; Yasuhiro Tarutani; Kazuhisa Takamura; Yoji Urabe; Kumiko Konno; Yuji Nishizaki; Tomohiro Shinozaki; Yasuki Kihara; Hiroyuki Daida; Takaaki Isshiki; Shinichi Takase
Journal:  Heart Vessels       Date:  2014-04-27       Impact factor: 2.037

8.  Relation of self-reported angina pectoris to inducible myocardial ischemia in patients with known coronary artery disease: the Heart and Soul Study.

Authors:  Anil K Gehi; John S Rumsfeld; Haiying Liu; Nelson B Schiller; Mary A Whooley
Journal:  Am J Cardiol       Date:  2003-09-15       Impact factor: 2.778

9.  Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset.

Authors:  Robert Roehle; Viktoria Wieske; Georg M Schuetz; Pascal Gueret; Daniele Andreini; Willem Bob Meijboom; Gianluca Pontone; Mario Garcia; Hatem Alkadhi; Lily Honoris; Jörg Hausleiter; Nuno Bettencourt; Elke Zimmermann; Sebastian Leschka; Bernhard Gerber; Carlos Rochitte; U Joseph Schoepf; Abbas Arjmand Shabestari; Bjarne Nørgaard; Akira Sato; Juhani Knuuti; Matthijs F L Meijs; Harald Brodoefel; Shona M M Jenkins; Kristian Altern Øvrehus; Axel Cosmus Pyndt Diederichsen; Ashraf Hamdan; Bjørn Arild Halvorsen; Vladimir Mendoza Rodriguez; Yung Liang Wan; Johannes Rixe; Mehraj Sheikh; Christoph Langer; Said Ghostine; Eugenio Martuscelli; Hiroyuki Niinuma; Arthur Scholte; Konstantin Nikolaou; Geir Ulimoen; Zhaoqi Zhang; Hans Mickley; Koen Nieman; Philipp A Kaufmann; Ronny Ralf Buechel; Bernhard A Herzog; Melvin Clouse; David A Halon; Jonathan Leipsic; David Bush; Reda Jakamy; Kai Sun; Lin Yang; Thorsten Johnson; Jean-Pierre Laissy; Roy Marcus; Simone Muraglia; Jean-Claude Tardif; Benjamin Chow; Narinder Paul; David Maintz; John Hoe; Albert de Roos; Robert Haase; Michael Laule; Peter Schlattmann; Marc Dewey
Journal:  Eur Radiol       Date:  2018-03-19       Impact factor: 5.315

10.  Detection of ischaemic myocardial lesions with coronary CT angiography and adenosine-stress dynamic perfusion imaging using a 128-slice dual-source CT: diagnostic performance in comparison with cardiac MRI.

Authors:  S M Kim; J-H Choi; S-A Chang; Y H Choe
Journal:  Br J Radiol       Date:  2013-10-04       Impact factor: 3.039

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.