Cardiovascular imaging has achieved a crucial role in the management of cardiovascular diseases. In this field, echocardiography advantages include wide availability, portability, and affordability, at a relatively low cost. However, echocardiographic assessment requires highly trained operators, and implies high observer variability, as compared with the other cardiac imaging modalities. Hence, artificial intelligence might be extremely helpful. From the point‐of‐view of the peripheral “Spoke” Hospital potential user (“the other side of the coin”), artificial intelligence development appears very slow in the clinical arena. Many limitations are still present, and require full involvement, cooperation, and coordination of professional operators into Hub‐and‐Spoke network.
PurposeTo investigate the clinical predictors of in-hospital mortality in hospitalized patients with Coronavirus disease 2019 (COVID-19) infection during the Omicron period.MethodsAll consecutive hospitalized laboratory‐confirmed COVID-19 patients between January and May 2022 were retrospectively analyzed. All patients underwent accurate physical, laboratory, radiographic and echocardiographic examination. Primary endpoint was in-hospital mortality.Results74 consecutive COVID-19 patients (80.0 ± 12.6 yrs, 45.9% males) were included. Patients who died during hospitalization (27%) and those who were discharged alive (73%) were separately analyzed. Compared to patients discharged alive, those who died were significantly older, with higher comorbidity burden and greater prevalence of laboratory, radiographic and echographic signs of pulmonary and systemic congestion. Charlson comorbidity index (CCI) (OR 1.76, 95%CI 1.07-2.92), neutrophil-to-lymphocyte ratio (NLR) (OR 1.24, 95%CI 1.10-1.39) and absence of angiotensin-converting enzyme inhibitors (ACEI)/angiotensin II receptor blockers (ARBs) therapy (OR 0.01, 95%CI 0.00-0.22) independently predicted the primary endpoint. CCI ≥7 and NLR ≥9 were the best cut-off values for predicting mortality. The mortality risk for patients with CCI ≥7, NLR ≥9 and not in ACEI/ARBs therapy was high (86%); for patients with CCI <7, NLR ≥9, with (16.6%) or without (25%) ACEI/ARBs therapy was intermediate; for patients with CCI <7, NLR <9 and in ACEI/ARBs therapy was of 0%.ConclusionsHigh comorbidity burden, high levels of NLR and the undertreatment with ACEI/ARBs were the main prognostic indicators of in-hospital mortality. The risk stratification of COVID-19 patients at hospital admission would help the clinicians to take care of the high-risk patients and reduce the mortality.
Epidemiological, experimental studies and post hoc analyses of randomized trials suggested that n-3 polyunsaturated fatty acids (PUFA) and statins could be beneficial in chronic heart failure. Two double-blind, placebo-controlled, randomized clinical trials investigated the efficacy and safety of n-3 PUFA 1 g daily (R1) and rosuvastatin 10 mg daily (R2) in patients with heart failure. In total, 6975 and 4574 patients were randomized in R1 and R2, respectively; the main reason for excluding patients from R2 being the open-label administration of statin treatment. Primary end points were death, and death or admission to hospital for cardiovascular reasons. n-3 PUFA, but not rosuvastatin, significantly decreased the two coprimary end points: 56 and 44 patients needed to be treated with n-3 PUFA for a median duration of 3.9 years to avoid one death or one cumulative event. Both drugs were safe and were tolerated. A simple and safe treatment with n-3 PUFA provides a beneficial advantage in patients with heart failure in a context of usual care.
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