Introduction: In recent years, several hospitals have incorporated MRI equipment managed directly by their cardiology departments. The aim of our work is to determine the total cost per test of both CT and MRI in the setting of a Cardiology Department of a tertiary hospital. Materials and Methods: The process followed for estimating the costs of CT and MRI tests consists of three phases: (1) Identification of the phases of the testing process; (2) Identification of the resources consumed in carrying out the tests; (3) Quantification and assessment of inputs. Results: MRI involves higher personnel (EUR 66.03 vs. EUR 49.17) and equipment (EUR 89.98 vs. EUR 33.73) costs, while CT consumes higher expenditures in consumables (EUR 93.28 vs. EUR 22.95) and overheads (EUR 1.64 vs. EUR 1.55). The total cost of performing each test is higher in MRI (EUR 180.60 vs. EUR 177.73). Conclusions: We can conclude that the unit cost of each CT and MRI performed in that unit are EUR 177.73 and EUR 180.60, respectively, attributable to consumables in the case of CT and to amortization of equipment and staff time in the case of MRI.

Background: Telemedicine models play a key role in organizing the growing demand for care and healthcare accessibility, but there are no described longer-term results in health care. Our objective is to assess the longer-term results (delay time in care, accessibility, and hospital admissions) of an electronic consultation (e-consultation) outpatient care program. Methods: Epidemiological and clinical data were obtained from the 41 258 patients referred by primary care to the cardiology department from January 1, 2010, to December 31, 2019. Until 2012, all patients were attended in an in-person consultation (2010–2012). In 2013, we instituted an e-consultation program (2013-2019) for all primary care referrals to cardiologists that preceded patients’ in-person consultations when considered. We used an interrupted time series regression approach to investigate the impact of the e-consultation on (1) delay time (days) in care and (2) hospital admissions. We also analyzed (3) total number and referral rate (population-adjusted referred rate) in both periods (in-person consultation and e-consultation), and (4) the accessibility was measured as number of consultations and variation according to distance from municipality and reference hospital. Results: During the e-consultation, the demand increased (7.2±2.4% versus 10.1±4.8% per 1000 inhabitants, P <0.001), and referrals from different areas were equalized. The reduction in delay to consultation during the in-person consultation (−0.96 [95% CI, −0.951 to −0.966], P <0.001) was maintained with e-consultations (−0.064 [95% CI, 0.043–0.085], P <0.001). After the implementation of e-consultation, we observed that the increasing of hospital admission observed in the in-person consultation (incidence rate ratio, 1.011 [95% CI, 1.003–1.018]), was stabilized (incidence rate ratio, 1.000 [95% CI, 0.985–1.015]; P =0.874). Conclusions: Implementing e-consultations in the outpatient management model may improve accessibility of care for patients furthest from the referral hospital. After e-consultations were implemented, the upward trend of hospital admissions observed during the in-person consultation period was stabilized with a slight downward trend.

The role of uric acid levels in the cardiovascular continuum is not clear. Our objective is to analyze the prevalence of hyperuricemia (HU) and its association with cardiovascular risk factors (CVRF), subclinical target organ damage (sTOD), and cardiovascular diseases (CVD). We evaluated the prevalence of HU in 6.927 patients included in the baseline visit of the IBERICAN study. HU was defined as uric acid levels above 6 mg/dL in women, and 7 mg/dL in men. Using adjusted logistic regression models, the odds ratios were estimated according to CVRF, sTOD, and CVD. The prevalence of HU was 16.3%. The risk of HU was higher in patients with pathological glomerular filtration rate (aOR: 2.92), heart failure (HF) (aOR: 1.91), abdominal obesity (aOR: 1.80), hypertension (HTN) (aOR: 1.65), use of thiazides (aOR: 1.54), left ventricular hypertrophy (LVH) (aOR: 1.36), atrial fibrillation (AFIB) (aOR: 1.29), and albuminuria (aOR: 1.27). On the other hand, being female (aOR: 0.82) showed a reduced risk. The prevalence of HU was higher in men, in patients presenting CVRF such as HTN and abdominal obesity, and with co-existence of LVH, atrial fibrillation (AFIB), HF, and any form of kidney injury. These associations raise the possibility that HU forms part of the early stages of the cardiovascular continuum. This may influence its management in Primary Healthcare because the presence of HU could mean an increased CV risk in the patients.