Psychometric Properties of a Brief Version of the Perception of Risk of Heart Disease Scale in an Italian Sample.

INTRODUCTION: The number of Italian citizens unaware of their risk of cardiovascular disease it is still very high. AIM: This study aimed to translate and preliminarily validate a brief Italian version of the Perception of Risk of Heart Disease Scale (PRHDS). METHODS: PRHDS was culturally adapted to the Italian context. Then, the scale was administered to 772 healthy adults. By randomly dividing the sample into two subsamples, we tested the scale dimensionality through Exploratory Factor Analysis (EFA) followed by Confirmatory Factor Analysis (CFA). Finally, we evaluated internal consistency. RESULTS: Psychometric properties of the scale were appropriate. EFA and CFA evidenced a unidimensional structure of a brief version of the scale, composed of six items. Internal consistency was adequate. CONCLUSIONS: Italian version of the brief PRHDS is a promising self-report questionnaire to measure cardiovascular risk perception among Italian adults.

Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data.

Many modifiable and non-modifiable risk factors have been associated with hypertension. However, current screening programs are still failing in identifying individuals at higher risk of hypertension. Given the major impact of high blood pressure on cardiovascular events and mortality, there is an urgent need to find new strategies to improve hypertension detection. We aimed to explore whether a machine learning (ML) algorithm can help identifying individuals predictors of hypertension. We analysed the data set generated by the questionnaires administered during the World Hypertension Day from 2015 to 2019. A total of 20206 individuals have been included for analysis. We tested five ML algorithms, exploiting different balancing techniques. Moreover, we computed the performance of the medical protocol currently adopted in the screening programs. Results show that a gain of sensitivity reflects in a loss of specificity, bringing to a scenario where there is not an algorithm and a configuration which properly outperforms against the others. However, Random Forest provides interesting performances (0.818 sensitivity - 0.629 specificity) compared with medical protocols (0.906 sensitivity - 0.230 specificity). Detection of hypertension at a population level still remains challenging and a machine learning approach could help in making screening programs more precise and cost effective, when based on accurate data collection. More studies are needed to identify new features to be acquired and to further improve the performances of ML models.

Performance of non-invasive respiratory function indices in predicting clinical outcomes in patients hospitalized for COVID-19 pneumonia in medical and sub-intensive wards: a retrospective cohort study.

Coronavirus disease 2019 (COVID-19) is a newly recognized infectious disease which can lead to acute respiratory distress syndrome requiring ventilatory support and intensive care unit admission. The aim of our study is to evaluate the performance of two non-invasive respiratory function indices (the ROX index and the SatO2/FiO2 ratio), as compared to the traditional PaO2/FiO2 ratio, in predicting a clinically relevant composite outcome (death or intubation) in hospitalized patients for COVID-19 pneumonia. Four hospital centers in Northern Italy conducted an observational retrospective cohort study during the first wave of COVID-19 pandemic. Four hundred and fifty-six patients with COVID-19 pneumonia admitted to medical or sub-intensive wards were enrolled. Clinical, laboratory, and respiratory parameters, for the calculation of different indices, were measured at hospital admission. In medical wards (Verona and Padua) the PaO2/FiO2 ratio, ROX index and SatO2/FiO2 ratio were able to predict intubation or death with good accuracy (AUROC for the PaO2/FiO2 ratio, ROX index and SatO2/FiO2 ratio of 75%, 75% and 74%, respectively). Regarding sub-intensive wards (Milan and Mantua), none of the three respiratory function indices was significantly associated with the composite outcome. In patients admitted to medical wards for COVID-19 pneumonia, the ROX index and the SatO2/FiO2 ratio demonstrated not only good performance in predicting intubation or death, but their accuracy was comparable to that of the PaO2/FiO2 ratio. In this setting, where repeated arterial blood gas tests are not always feasible, they could be considered a reliable alternative to the invasive PaO2/FiO2 ratio.

Digitally Enabled Health Service for the Integrated Management of Hypertension: A Participatory User-Centred Design Process.

This article describes a user-centred approach taken by a group of five procurers to set specifications for the procurement of value-based research and development services for IT-supported integrated hypertension management. The approach considered the unmet needs of patients and health systems of the involved regions. The procurers established a framework for requirements and a solution design consisting of nine building blocks, divided into three domains: service delivery, devices and integration, and health care organisation. The approach included the development of questionnaires, capturing patients' and professionals' views on possible system functionalities, and a template collecting information about the organisation of healthcare, professionals involved and existing IT systems at the procurers' premises. A total of 28 patients diagnosed with hypertension and 26 professionals were interviewed. The interviewees identified 98 functional requirements, grouped in the nine building blocks. A total of nine use cases and their corresponding process models were defined by the procurers' working group. As result, a digitally enabled integrated approach to hypertension has been designed to allow citizens to learn how to prevent the development of hypertension and lead a healthy lifestyle, and to receive comprehensive, individualised treatment in close collaboration with healthcare professionals.

Treating sleep disorders to improve blood pressure control and cardiovascular prevention: a dream come true?-a narrative review.

Hypertension is one of the primary risk factors for heart disease and stroke, the leading causes of death worldwide. Current evidence supports the treatment of high blood pressure (BP) values in order to obtain a substantial reduction of cardiovascular burden. Sleep plays an important role in maintaining nocturnal BP control and nocturnal hypertension which, in turn, can be affected by the presence of sleep disorders. Whilst respiratory disturbances have been extensively studied and their causal role in the development of nocturnal hypertension has been demonstrated in both cross sectional and prospective studies, less is known about the impact of other sleep disorders such as insomnia. In this review, we aim to describe the role of sleep disorders in the development of nocturnal and diurnal hypertension. Furthermore, we aim to discuss the potential impact of the treatment of such sleep disorders on BP values as an adjunct treatment for patients with hypertension.

Obstructive Sleep Apnea and Hypertension: Why Treatment Does Not Consistently Improve Blood Pressure.

PURPOSE OF REVIEW: Obstructive sleep apnea (OSA) and hypertension are two phenomena deeply linked together and, although a causal relationship has been suggested, a recent meta-analysis showed only a very modest effect of OSA treatment on blood pressure (BP). However, a vast number of randomized controlled trials published so far share some limitations, mainly of methodological nature: neither OSA nor BP is always assessed in a standardized way. Moreover, compliance with OSA treatment is often sub-optimal making the results of these trials difficult to interpret. RECENT FINDINGS: Recent studies have shown that antihypertensive drugs can reduce BP more than OSA treatment, showing a better compliance profile and very few side effects. Considering the importance of reducing the overall cardiovascular risk of OSA patients, a more careful management of patient's antihypertensive medication could allow a better BP control also in this condition. In addition, greater efforts should be made to improve patient's acceptance of OSA treatment with the aim of improving their compliance.

Association Between Lifestyle and Systemic Arterial Hypertension in Young Adults: A National, Survey-Based, Cross-Sectional Study.

INTRODUCTION: The prevalence of systemic arterial hypertension in young adults is increasing worldwide in association with modifiable risk factors. AIM: To assess the prevalence of high blood pressure (BP) in young adults participating to a screening campaign during the World Hypertension Day (17/05/2014), and to determine the possible association with lifestyle factors. METHODS: 493 individuals aged 18-35 years were selected in 13 Italian cities. All participants underwent BP measurement together with the administration of a questionnaire exploring: medical and drug history; traditional cardiovascular risk factors and diseases; dietary pattern; salt intake; sleep habits; mood disorders. RESULTS: High BP (≥140/90 mmHg) was found in 54 individuals, with a prevalence of 11% and awareness of 28%. Those with high BP values were more frequently men, reported a higher BMI and a greater use of corticosteroids and non-steroidal anti-inflammatory drugs, and had a lower anxiety score. Concerning dietary habits, they were more likely to eat cheese/cold cuts ≥3 times/week, to have their meals out ≥1/day and to eat in fast foods ≥1/week. In the multiple logistic regression analysis, male sex [OR 3.19, 95% CI (1.33-7.63)], BMI [OR 1.14 95% CI (1.04-1.25)], eating in fast foods [OR 3.10 95% CI (1.21-7.95)], and anxiety [OR 0.85 95% CI (0.75-0.97)], were independently associated with high BP. CONCLUSIONS: High BP values were found in 11 % young adults. Male sex, adiposity and alimentary habits were the main determinants of high BP values, indicating that young men are a suitable target for healthy lifestyle interventions.