Literature DB >> 26664302

Multivariate Criteria Most Accurately Distinguish Cardiac from Noncardiac Causes of Dyspnea.

Mirza Nubair Ahmad, Syed Hasan Yusuf, Rafath Ullah, Mirza Mujadil Ahmad, Mary K Ellis, Haroon Yousaf, Timothy E Paterick, Khawaja Afzal Ammar.   

Abstract

Cardiopulmonary exercise testing provides oxygen pulse as a continuous measure of stroke volume, which is superior to other stress-testing methods in which systolic function is measured at baseline and at peak stress. However, the optimal peak oxygen pulse criterion for distinguishing cardiac from noncardiac causes of exercise limitation is unknown. In comparing several peak oxygen pulse criteria against the clinical standard of cardiopulmonary exercise testing, we retrospectively studied 54 consecutive patients referred for cardiopulmonary exercise testing. These exercise tests included measurement of oxygen consumption, carbon dioxide production, breathing reserve, arterial blood gases at baseline and at peak stress, exercise electrocardiogram, heart rate, and blood pressure response. Results were blindly interpreted and patients were categorized as members either of our Cardiac Group (abnormal result secondary to cardiac causes of exercise limitation) or of our Noncardiac Group (normal or abnormal result secondary to any noncardiac cause of exercise limitation). The accuracy of the peak oxygen pulse criteria ranged from 50% for univariate criterion (≤15 mL/beat), to 61% for oxygen pulse curve pattern, to 63% for bivariate criterion (≤15 mL/beat for men, ≤10 mL/beat for women), to as high as 81% for a multivariate criterion. All multivariate criteria outperformed oxygen pulse curve pattern, univariate, and bivariate criteria. This is the first study to evaluate the optimal peak oxygen pulse criterion for differentiating cardiac from noncardiac causes of exercise limitation. Multivariate criteria (especially a criterion incorporating age, sex, height, and weight) should be used preferentially, as opposed to the commonly used univariate and bivariate criteria.

Entities:  

Keywords:  Exercise test; forced expiratory volume; heart diseases/diagnosis; lung diseases/diagnosis; oxygen consumption; oxygen pulse; respiration; retrospective studies; stress test, cardiopulmonary

Mesh:

Year:  2015        PMID: 26664302      PMCID: PMC4665276          DOI: 10.14503/THIJ-14-4373

Source DB:  PubMed          Journal:  Tex Heart Inst J        ISSN: 0730-2347


  9 in total

1.  Prediction of metabolic and cardiopulmonary responses to maximum cycle ergometry: a randomised study.

Authors:  J A Neder; L E Nery; A Castelo; S Andreoni; M C Lerario; A Sachs; A C Silva; B J Whipp
Journal:  Eur Respir J       Date:  1999-12       Impact factor: 16.671

2.  Cardiac output estimated noninvasively from oxygen uptake during exercise.

Authors:  W W Stringer; J E Hansen; K Wasserman
Journal:  J Appl Physiol (1985)       Date:  1997-03

3.  Non-invasive measurement of stroke volume during exercise in heart failure patients.

Authors:  P G Agostoni; K Wasserman; G B Perego; M Guazzi; G Cattadori; P Palermo; G Lauri; G Marenzi
Journal:  Clin Sci (Lond)       Date:  2000-05       Impact factor: 6.124

4.  Prediction of maximal oxygen uptake and power during cycle ergometry in subjects older than 55 years of age.

Authors:  S P Blackie; M S Fairbarn; G N McElvaney; N J Morrison; P G Wilcox; R L Pardy
Journal:  Am Rev Respir Dis       Date:  1989-06

5.  Maximal exercise oxygen pulse as a predictor of mortality among male veterans referred for exercise testing.

Authors:  Ricardo B Oliveira; Jonathan Myers; Claudio Gil S Araújo; Joshua Abella; Sandra Mandic; Victor Froelicher
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2009-06

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Journal:  Am Rev Respir Dis       Date:  1985-05

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Authors:  J R Stratton; W C Levy; M D Cerqueira; R S Schwartz; I B Abrass
Journal:  Circulation       Date:  1994-04       Impact factor: 29.690

8.  Peak oxygen pulse during exercise as a predictor for coronary heart disease and all cause death.

Authors:  J A Laukkanen; S Kurl; J T Salonen; T A Lakka; R Rauramaa
Journal:  Heart       Date:  2006-02-08       Impact factor: 5.994

9.  Relation between central and peripheral hemodynamics during exercise in patients with chronic heart failure. Muscle blood flow is reduced with maintenance of arterial perfusion pressure.

Authors:  M J Sullivan; J D Knight; M B Higginbotham; F R Cobb
Journal:  Circulation       Date:  1989-10       Impact factor: 29.690

  9 in total
  3 in total

1.  The Impact of Oxygen Pulse and Its Curve Patterns on Male Patients with Heart Failure, Chronic Obstructive Pulmonary Disease, and Healthy Controls-Ejection Fractions, Related Factors and Outcomes.

Authors:  Ming-Lung Chuang; Chin-Feng Tsai; Kwo-Chang Ueng; Jui-Hung Weng; Ming-Fong Tsai; Chien-Hsien Lo; Gang-Bin Chen; Sung-Kien Sia; Yao-Tsung Chuang; Tzu-Chin Wu; Pan-Fu Kao; Meng-Jer Hsieh
Journal:  J Pers Med       Date:  2022-04-28

2.  Patterns of Oxygen Pulse Curve in Response to Incremental Exercise in Patients with Chronic Obstructive Pulmonary Disease - An Observational Study.

Authors:  Ming-Lung Chuang; I-Feng Lin; Shih-Feng Huang; Meng-Jer Hsieh
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

3.  Influence of extracellular volume fraction on peak exercise oxygen pulse following thoracic radiotherapy.

Authors:  Justin M Canada; Elisabeth Weiss; John D Grizzard; Cory R Trankle; Leila Rezai Gharai; Franklin Dana; Leo F Buckley; Salvatore Carbone; Dinesh Kadariya; Anthony Ricco; Jennifer H Jordan; Ronald K Evans; Ryan S Garten; Benjamin W Van Tassell; W Gregory Hundley; Antonio Abbate
Journal:  Cardiooncology       Date:  2022-01-18
  3 in total

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