Prevalence and predictors of frailty in a high-income developing country: A cross-sectional study.

Background: Frailty is a state of vulnerability and a decreased physiological response to stressors. As the population ages, the prevalence of frailty is expected to increase. Thus, identifying tools and resources that efficiently predict frailty among the Saudi population is important. We aimed to describe the prevalence and predictors of frailty among Saudi patients referred for cardiac stress testing with nuclear imaging. Methods: We included 876 patients (mean age 60.3 ± 11 years, women 48%) who underwent clinically indicated cardiac nuclear stress testing between January and October 2016. Fried Clinical Frailty Scale was used to assess frailty. Patients were considered frail if they had a score of four or higher. Multivariate adjusted logistic regression models were used to determine the independent predictors of elderly frail patients. Results: In this cohort, the median age of the included patients was 61 years, and the prevalence of frailty was 40%. The frail patients were older, more frequently women, and had a higher body mass index. Additionally, frailty was associated with a higher prevalence of cardiovascular risk factors: hypertension (85% vs. 70%) and diabetes (75% vs. 60%). In a fully adjusted logistic regression model, women, hypertension, and obesity (BMI ≥ 30 kg/m2) were independent predictors of elderly frail patients. Conclusions: With the aging of the Saudi population, frailty prevalence is expected to increase. Elderly, obesity, hypertension, and female gender are risk factors of frailty. Interventions to reduce frailty should be focused on this high-risk population.

Incremental prognostic value of positron emission tomography-derived myocardial flow reserve in patients with and without diabetes mellitus.

AIMS: We aimed to assess the incremental prognostic value of positron emission tomography (PET)-derived myocardial flow reserve (MFR) among patients with diabetes and those without diabetes. METHODS AND RESULTS: Consecutive patients with clinically indicated PET MPI for suspected or established coronary artery disease (CAD) were included. Myocardial blood flow (MBF) in mL/min/g was obtained from dynamic images at rest and stress, while MFR was calculated as the ratio of stress to rest MBF. Patients were followed from the date of PET imaging for the occurrence of the primary outcome (composite of all-cause death, myocardial infarction, and un-planned percutaneous coronary intervention/coronary artery bypass graft occurring more than 90 days after imaging). The final cohort consisted of 6019 patients (63% with diabetes) (mean age 61 ± 11 years, 45% female, 55% obese, 76% hypertensive, and 62% dyslipidaemia). Over half (53%) of the patients had an impaired MFR (<2). During a median follow-up of 22.6 (7.8-42.5) months, 619 patients (10%, 3.8 per 1000 person-years) experienced the primary outcome. Impaired MFR (MFR < 2) was significantly associated with the primary outcome in patients with and without diabetes (diabetes: HR 1.8, 95% CI 1.4-2.3, P < 0.001; no diabetes: 1.4, 95% CI 1.0-2.1, P = 0.046). There was no interaction between diabetes status and MFR (P = 0.234). Results were consistent across subgroups of patients with no CAD and normal perfusion study. CONCLUSION: PET-derived MFR has a strong independent and incremental prognostic role in patients with diabetes and those without diabetes.

Myocardial Flow Reserve and Coronary Calcification in Prognosis of Patients With Suspected Coronary Artery Disease.

OBJECTIVES: The aim of this analysis is to examine the incremental prognostic value of coronary artery calcium (CAC) score and myocardial flow reserve (MFR) in patients with suspected coronary artery disease (CAD) undergoing positron emission tomography (PET) myocardial perfusion imaging (MPI). BACKGROUND: Advances in cardiac PET and computed tomography imaging enabled the simultaneous acquisition of anatomic and physiological data for patients suspected of CAD. METHODS: Consecutive patients who underwent PET MPI and CAC score calculation at King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia, between May 2011 and May 2018 were included in the study. MPI and CAC images were obtained in the same setting. The primary endpoint of the study was a composite of cardiac death and nonfatal myocardial infarction. Cox proportional hazard regression was used to assess the incremental prognostic value of CAC and MFR by sequentially adding the variables to a model that included clinical and PET variables. RESULTS: A total of 4,008 patients (mean age 59.7 ± 11.6 years, 55% women) were included in the analysis. Risk factors were prevalent (77.6% hypertension, 58.1% diabetes). In total, 35.9% of the cohort had CAC of 0, 16.5% had CAC ≥400, and 43.9% had MFR <2. Over a median follow up of 1.9 years, 130 (3.2%) patients had cardiac death/nonfatal myocardial infarction. CAC and MFR score added incremental prognostic value over clinical and perfusion variables (base model: c-index 0.8137; Akaike information criterion [AIC]: 1,865.877; p = 0.0011; CAC model: c-index = 0.8330; AIC: 1,850.810; p = 0.045 vs. base model; MFR model: c-index = 0.8279; AIC: 1,859.235; p = 0.024). Combining CAC and MFR did not enhance risk prediction (c-index = 0.8435; AIC: 1,846.334; p = 0.074 vs. MFR model; p = 0.21 vs. CAC model.) CONCLUSIONS: In this large cohort of patients referred for PET MPI, both CAC and MFR independently added incremental prognostic value over clinical and MPI variables. Although combining both may have synergetic prognostic effect, this relation was not shown in multivariable model of this analysis.