The objective of this study was to determine the relationship of sociodemographics; diabetes-related factors, including diabetes-related microvascular complications; cardiac risk factors; and psychological factors with quality of life (QOL). Participants enrolled at three sites in the Detection of Ischemia in Asymptomatic Diabetics (DIAD) study were invited to participate in this ancillary study. Questionnaires assessing psychological factors were completed by participants, and the remainder of the data was obtained as part of the DIAD study. Many participants had elevated levels of anxiety (n = 91; 82%), depressive symptoms (n = 16; 14%), anger (n = 38; 34%), and hostility (n = 17; 17%). Results of multivariate analyses conducted for each of the eight domains on the Medical Outcomes Study Short Form-36 and two Diabetes Quality of Life domains demonstrated that in the majority of models (42% to 68% of the variance explained), female sex, peripheral or autonomic neuropathy, physical inactivity, higher body mass index, and the presence of depressive symptoms and anxiety were associated with poorer QOL (p = .0001). These findings demonstrate that anxiety, depressive symptoms, and neuropathy are prevalent in older adults with type 2 diabetes. In addition, potentially important correlations were demonstrated between psychological factors, neuropathy, body mass index, and physical inactivity.

EF assessed by stress gated Rb-82 PET imaging provides independent and incremental prognostic information and, hence, should be routinely incorporated in risk assessment.

Ventricular function data from ECG-gated SPECT add important prognostic value to data obtained from perfusion imaging alone in predicting adverse cardiac events.

Astonish processing, which incorporates depth-dependent resolution recovery, improves image quality without sacrificing interpretative certainty or diagnostic accuracy. Application of simultaneously acquired attenuation correction, which includes scatter correction, to full-time and half-time images processed with this method, improves specificity and normalcy while maintaining high image quality.

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