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. 2019 Mar 18;19(1):46.
doi: 10.1186/s12911-019-0797-9.

The use of echocardiographic and clinical data recorded on admission to simplify decision making for elective percutaneous coronary intervention: a prospective cohort study

Rabah M Al Abdi  1 , Hussam Alshraideh  2 , Heba H Hijazi  3 , Mohamad Jarrah  4 , Mohammad S Alyahya  3
Affiliations

The use of echocardiographic and clinical data recorded on admission to simplify decision making for elective percutaneous coronary intervention: a prospective cohort study

Rabah M Al Abdi et al. BMC Med Inform Decis Mak. .

Abstract

Background: Coronary artery disease (CAD), a leading cause of mortality, affects patient health-related quality of life (HRQoL). Elective percutaneous coronary interventions (ePCIs) are usually performed to improve HRQoL of CAD patients. The aim of this study was to design models using admission data to predict the outcomes of the ePCI treatments on the patients' HRQoL.

Methods: This prospective cohort study was conducted with CAD patients who underwent ePCIs at the King Abdullah University Hospital in Jordan from January 2014 through May 2015. Six months after their ePCI procedures, the participants completed the improved MacNew (QLMI-2) questionnaire, which was used for evaluating three domains (physical, emotional and social) of HRQoL. Multivariate linear regression was used to design models to predict the three domains of HRQoL from echocardiographic findings and clinical data that are routinely measured on admission.

Results: The study included 239 patients who underwent ePCIs and responded to the QLMI-2 questionnaire. The mean age (± standard deviation) of the participants was 55.74 ± 11.84 years, 54.58 ± 11.37 years for males (n = 174) and 59.11 ± 12.49 years for females (n = 65). The average scores for physical, emotional and social HRQoL were 4.38 ± 1.27, 4.4 ± 1.11, and 4.37 ± 1.32, respectively. Out of the 42 factors inputted to the models to predict HRQoL scores, 10, 9, and 9 factors were found to be significant determinants for physical, emotional and social domains, respectively, with adjusted coefficients of determination of 0.630, 0.604 and 0.534, respectively. Basophil levels on admission showed a significant positive correlation with the three domains of HRQoL, while aortic root diameter showed a negative correlation. Scores for the three domains were significantly lower in women than in men. Hypertensive and diabetic patients had significantly lower HRQoL scores than patients without hypertension and diabetes.

Conclusion: The prediction of HRQoL scores 6 months after an ePCI is possible based on data acquired on admission. The models developed here can be used as decision-making tools to guide physicians in identifying the efficacy of ePCIs for individual patients, hence decreasing the rate of inappropriate ePCIs and reducing costs and complications.

Keywords: Decision making; Elective percutaneous coronary intervention; Percutaneous coronary intervention; Quality of life; Risk factors.

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Conflict of interest statement

Ethics approval and consent to participate

In this study, all respondents were informed about the aims and design of the research and the voluntary and confidential nature of their participation. Upon each participant’s approval and prior to the start of the data collection process, informed verbal consents were obtained from all respondents who agreed to take part in in-depth interviews; all consents were audio-recorded during the interviews. Ethical approval was requested from and granted by the Institutional Review Board (IRB) committees of the Jordan University of Science and Technology and the King Abdullah University Hospital (541/2014).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Flow chart of the study population and patient inclusion criteria. The included patients were stratified based on PCI features
Fig. 2
Fig. 2
Histogram with normal curve fits of the scores for the three HRQoL domains
Fig. 3
Fig. 3
Mean scores with 95% confidence intervals for the three domains of HRQoL for participants grouped according to (a) left ventricle ejection fraction, (b) ePCI features, (c) sex and (d) the presence of HTN and DM individually or in combination
See this image and copyright information in PMC

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