Different degrees of summed difference perfusion score in women: influence on the prognostic variables associated with cardiac events.

Abstract

Evaluating the predictive models (PM) for a major adverse cardiac event (MACE) only in women with abnormal summed difference score (SDS ≥ 1), borderline myocardial ischemia (borderline-MIsch: SDS = 1), MIsch (SDS ≥ 2), mild-MIsch (SDS = 2-4), and moderate-severe MIsch (ms-MIsch: SDS ≥ 5). Between January 2000 and January 2018, of 25 943 consecutive patients who underwent gated single-photon emission computed tomography myocardial perfusion imaging (gSPECT-MPI) for coronary risk stratification; 717 women (age 68.37 ± 3.4 years) with an abnormal SDS ≥ 1 were included. During the follow-up (mean 4 ± 2.9 years) post-gSPECT-MPI, MACE (unstable angina, nonfatal myocardial infarction, coronary revascularization, cardiac death) was assessed. In the global women cohort with abnormal SDS (n = 717), the PM was angina [hazard ratio (HR): 1.65, P = 0.016], diabetes (HR: 1.72, P = 0.004), beta-blockers (HR: 1.61, P = 0.009), pharmacological stress (HR: 1.74, P = 0.007), ↓ segment (ST) mm ≥ 1 (HR: 1.54, P = 0.039), and moderate-to-severe abnormal summed stress score (ms-SSS) (HR: 2.92, P = 0.001). In borderline-MIsch group (n = 208), the PM was previous myocardial infarction (HR: 3.8, P = 0.001), nitrates (HR: 2.13, P = 0.047), pharmacological stress (HR: 4.81, P < 0.001), and ↓ST mm ≥ 1 (HR: 3.07, P = 0.014). In MIsch group (n = 509), the PM model was ms-SSS (HR: 2.25, P = 0.001), diabetes (HR: 1.73, P = 0.011), angina (HR: 1.68, P = 0.029), beta-blockers (HR: 1.59, P = 0.026), and ms-MIsch (HR: 1.62, P = 0.044). In mild-MIsch group (n = 399), the PM was ms-SSS (HR: 2.55, P = 0.003), diabetes (HR: 2.17, P = 0.004), angina (HR: 1.89, P = 0.037), and beta-blockers (HR: 2.01, P = 0.011). In ms-MIsch group (n = 110), the predictive variable for MACE was ms-SSS (HR: 2.27, P = 0.016). The ms-SSS significantly increases the prognostic value of the ms-MIsch (P = 0.001). Women with different degrees of abnormal SDS have different PMs of MACE. The ms-SSS stands out as the most significant predictive variable.