Correlation of angina symptoms, baseline electrocardiogram abnormalities and findings on stress protocol with myocardial perfusion scintigraphy outcomes, a retrospective study, in Monadi Hospital, Naples, Italy.
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Date
2023-02
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Addis Ababa University
Abstract
Background: Myocardial perfusion scintigraphy is an imaging modality used in the
management of coronary artery diseases. Previous studies have shown that the combination of
angina symptoms, baseline electrocardiogram abnormalities, and findings on stress protocols
can provide valuable information for predicting the likelihood of abnormal imaging findings.
However, the correlation and effect between these variables and imaging outcome is not well
established.
Objective: To evaluate the correlation and effect between angina symptoms, baseline
electrocardiogram abnormalities in coronary artery diseases and during stress exam with
abnormal MPS outcomes and their predictive value.
Method: Hospital-based single-center retrospective cross-sectional study was conducted using
medical records of 328 patients that underwent myocardial perfusion scintigraphy between
2020 and 2022. A systematic random sampling method was used to attain an appropriate
sample size. Data were extracted from an electronic database using a checklist. The collected
data were coded, entered, and analyzed using SPSS version 26. Pearson chi-square test and
logistic regression were performed to evaluate the association and effect of independent
variables. The statistical significance was measured at 95% CI and P-value less than
0.05(95%).
Results: The study population consisted of 328 patients, among them 185(56.4%) were males
and 143(43.6%) were females. A significant association was observed between the severity of
the chest pain category, baseline electrocardiogram abnormalities, inducible ischemia, and
metabolic equivalent score with abnormal myocardial scintigraphy parameters. For each
outcome variable, the aforementioned factors exhibited a statistically significant effect upon
logistic regression. The odds of abnormal myocardial perfusion scintigraphy parameters were
significantly higher for each independent variable.
Conclusions and recommendation: According to results in this study, clinical and
electrocardiogram features can help prognosticate coronary artery disease before imaging
which can lead to more effective and personalized diagnostic and treatment strategies for
patients. Further studies with different methodologies are needed to validate the findings of
this study.
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Keywords
Myocardial perfusion scintigraphy, Perfusion defect, Metabolic equivalent score, inducible ischemia