Artificial intelligence in cardiovascular prevention: new ways will open new doors.

Prevention and effective treatment of cardiovascular disease are progressive issues that grow in tandem with the average age of the world population. Over recent decades, the potential role of artificial intelligence in cardiovascular medicine has been increasingly recognized because of the incredible amount of real-world data (RWD) regarding patient health status and healthcare delivery that can be collated from a variety of sources wherein patient information is routinely collected, including patient registries, clinical case reports, reimbursement claims and billing reports, medical devices, and electronic health records. Like any other (health) data, RWD can be analysed in accordance with high-quality research methods, and its analysis can deliver valuable patient-centric insights complementing the information obtained from conventional clinical trials. Artificial intelligence application on RWD has the potential to detect a patient's health trajectory leading to personalized medicine and tailored treatment. This article reviews the benefits of artificial intelligence in cardiovascular prevention and management, focusing on diagnostic and therapeutic improvements without neglecting the limitations of this new scientific approach.

Correction: Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension.

[This corrects the article DOI: 10.1371/journal.pone.0237297.].

Correction: Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension.

[This corrects the article DOI: 10.1371/journal.pone.0237297.].

Preexisting Oral Anticoagulant Therapy Ameliorates Prognosis in Hospitalized COVID-19 Patients.

Objective: Altered coagulation parameters in COVID-19 patients is associated with a poor prognosis. We tested whether COVID-19 patients on chronic oral anticoagulants (cOACs) for thromboembolism prophylaxis could receive protection from developing more severe phenotypes of the disease. Approach and Results: We searched the database of the SARS-RAS study (Clinicaltrials.gov: NCT04331574), a cross-sectional observational multicenter nationwide survey in Italy designed by the Italian Society of Hypertension. The database counts 2,377 charts of Italian COVID-19 patients in 26 hospitals. We calculated the Charlson comorbidity index (CCI), which is associated with death in COVID-19 patients. In our population (n = 2,377, age 68.2 ± 0.4 years, CCI: 3.04 ± 0.04), we confirm that CCI is associated with increased mortality [OR: 1.756 (1.628-1.894)], admission to intensive care units [ICU; OR: 1.074 (1.017-1.134)], and combined hard events [CHE; OR: 1.277 (1.215-1.342)]. One hundred twenty-five patients were on cOACs (age: 79.3 ± 0.9 years, CCI: 4.35 ± 0.13); despite the higher CCI, cOACs patients presented with a lower risk of admissions to the ICU [OR 0.469 (0.250-0.880)] but not of death [OR: 1.306 (0.78-2.188)] or CHE [OR: 0.843 (0.541-1.312)]. In multivariable logistic regression, cOACs confirmed their protective effect on ICU admission and CHE. The CCI remains the most important risk factor for ICU admission, death, and CHE. Conclusions: Our data support a mechanism for the continuation of cOAC therapy after hospital admission for those patients who are on chronic treatment. Our preliminary results suggest the prophylactic use of direct cOACs in patients with elevated CCI score at the time of the COVID-19 pandemic even in absence of other risks of thromboembolism.

Determinants of healing among patients with coronavirus disease 2019: the results of the SARS-RAS study of the Italian Society of Hypertension.

OBJECTIVE: The burst of COVID-19 epidemics in Italy prompted the Italian Society of Hypertension to start an observational study to explore the characteristics of the hospitalized victims of the disease. The current analysis aimed to investigate the predictors of healing among Italian COVID-19 patients. We also assessed the effect of angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor blockers on the outcome. METHODS: We designed a cross-sectional, observational, multicenter, nationwide survey in Italy to explore the demographic and clinical characteristics of patients with confirmed COVID-19 infection. We analyzed information from 2446 charts of Italian patients admitted for certified COVID-19 in 27 hospitals. Healing from COVID-19 infection, defined as two consecutive negative swabs, was reported in 544 patients (22.2%), 95% of them were hospitalized. RESULTS: Age and Charlson Comorbidity Index were significantly lower in healing compared with nonhealing patients (63 ±â€Š15 vs. 69 ±â€Š15 and 2 ±â€Š2 vs. 3 ±â€Š2, both P < 0.05). In multivariable regression model, predictors of healing were younger age (OR: 0.99; 95% CI 0.98-0.99, P = 0.0001), absence of chronic kidney disease (OR: 0.35; 95% CI 0.17-0.70, P = 0.003) or heart failure (OR: 0.44; 95% CI, 0.28-0.70, P = 0.001). In the subgroup of patients suffering from hypertension and/or heart failure (n = 1498), no differences were observed in the use of ACE inhibitors and angiotensin receptor blockers. CONCLUSION: Our study demonstrated that younger age and absence of comorbidities play a major role in determining healing in patients with COVID-19. No effects of ACE inhibitors and angiotensin receptor blockers on the outcome was reported.

Clinical Characteristics and Outcomes of Patients with COVID-19 Infection: The Results of the SARS-RAS Study of the Italian Society of Hypertension.

The COVID-19 infection has rapidly spread around the world and a second wave is sweeping in many countries. Different clinical and epidemiological aspects characterize the disease and their understanding is necessary to better face the management of the pandemic in progress. The Italian society of arterial hypertension with the SARS-RAS study has contributed significantly to the knowledge of the interaction between inhibition of the renin-angiotensin system and COVID-19 infection. Furthermore, the study results help to understand some of the main aspects related to mortality and morbidity deriving from the infection through a multicentre analysis throughout the national territory.

Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension.

BACKGROUND: The global rate of intensive care unit (ICU) admission during the COVID-19 pandemic varies within countries and is among the main challenges for health care systems worldwide. Conflicting results have been reported about the response to coronavirus infection and COVID-19 outcomes in men and women. Understanding predictors of intensive care unit admission might be of help for future planning and management of the disease. METHODS AND FINDINGS: We designed a cross-sectional observational multicenter nationwide survey in Italy to understand gender-related clinical predictors of ICU admission in patients with COVID-19. We analyzed information from 2378 charts of Italian patients certified for COVID-19 admitted in 26 hospitals. Three hundred ninety-five patients (16.6%) required ICU admission due to COVID19 infection, more frequently men (74%), with a higher prevalence of comorbidities (1,78±0,06 vs 1,54±0,03 p<0.05). In multivariable regression model main predictors of admission to ICU are male gender (OR 1,74 95% CI 1,36-2,22 p<0.0001) and presence of obesity (OR 2,88 95% CI 2,03-4,07 p<0.0001), chronic kidney disease (OR: 1,588; 95%, 1,036-2,434 p<0,05) and hypertension (OR: 1,314; 95% 1,039-1,662; p<0,05). In gender specific analysis, obesity, chronic kidney disease and hypertension are associated with higher rate of admission to ICU among men, whereas in women, obesity (OR: 2,564; 95% CI 1,336-4.920 p<0.0001) and heart failure (OR: 1,775 95% CI: 1,030-3,057) are associated with higher rate of ICU admission. CONCLUSIONS: Our study demonstrates that gender is the primary determinant of the disease's severity among COVID-19. Obesity is the condition more often observed among those admitted to ICU within both genders. TRIAL REGISTRATION: Clinicaltrials.gov: NCT04331574.