13 research outputs found

    Detection of SARS-COV N2 Gene: Very low amounts of viral RNA or false positive?

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    Background: The detection of a low amount of viral RNA is crucial to identify a SARS-CoV-2 positive individual harboring a low level of virus, especially during the convalescent period. However, the detection of one gene at high Cycle threshold (Ct) has to be interpreted with caution. In this study we address this specific issue and report our real-life experience. Study design: A total of 1639 nasopharyngeal swabs (NPS) were analyzed with Xpert® Xpress SARS-CoV-2. Positive samples showing high Ct values (Ct>35) were concentrated by centrifugation and re-tested with Cepheid or other methods (RealStar SARS-CoV2 RT-PCR, Altona Diagnostics; GeneFinder COVID-19 Plus RealAmp Kit, Elitech). Results: 1599 (97.5%) negative samples, 36 (2.3%) positive samples and 4 (0.2%) presumptive positive samples were detected. In 17 out of 36 positive patients, very low viral RNA copies were suspected since positivity was detected at high Ct. We confirmed positivity for patients who showed both E and N genes detected and for patients with only N detected but with Ct <39. On the contrary, samples with only gene N detected with Ct values >39 were found negative. NPS taken 24 hours after the first collection confirmed the negativity of the 12 samples. Clinical data sustained these results since only 2 of these 12 patients showed COVID-19-like symptoms. Conclusions: These data support our consideration that detection of the N2 gene at high Ct needs to be interpreted with caution, suggesting that collaboration between virologists and clinicians is important for better understanding of results

    Methodological problems associated with the planning of

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    Cluster randomization, where groups (or clusters) of subjects, rather than single individuals, are randomly allocated to intervention groups, is increasingly being adopted in studies to evaluate interventions directed at a whole area or healthcare unit (such as a hospital ward, or a medical practice). Studies that use this method of randomization are referred to as cluster randomized trials (CRT) and have considerable organizational and economic advantages. However, CRTs have distinctive ethical issues that need to be considered and most importantly, require a series of methodological modifications during data analysis and calculation of sample size (during which additional parameters, such as the intracluster correlation coefficient and the design effect, need to be obtained). Methodological guidelines for conducting CRTs have been published in November 2002. However, no scientific articles dealing with the methodology associated with the design and analysis of this type of study have yet been published in Italian. The aim of this article, therefore, is to provide methodological support to healthcare researchers who are planning a CRT, through a description of the methodology used in the Raffaello project. This project is in the start-off phase in the Marche and Abruzzo regions of Italy and represents an excellent case study, it being a CRT aimed at evaluating the efficacy of a Disease Management model in the general population (with general practitioners therefore, being the cluster of randomization)

    Problematiche metodologiche nella pianificazione e nel calcolo della dimensione del campione di un cluster randomized trial (CRT): il caso del Progetto Raffaello.

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    Cluster randomization, where groups (or clusters) of subjects, rather than single individuals, are randomly allocated to intervention groups, is increasingly being adopted in studies to evaluate interventions directed at a whole area or healthcare unit (such as a hospital ward, or a medical practice). Studies that use this method of randomization are referred to as cluster randomized trials (CRT) and have considerable organizational and economic advantages. However, CRTs have distinctive ethical issues that need to be considered and most importantly, require a series of methodological modifications during data analysis and calculation of sample size (during which additional parameters, such as the intracluster correlation coefficient and the design effect, need to be obtained). Methodological guidelines for conducting CRTs have been published in November 2002. However, no scientific articles dealing with the methodology associated with the design and analysis of this type of study have yet been published in Italian. The aim of this article, therefore, is to provide methodological support to healthcare researchers who are planning a CRT, through a description of the methodology used in the Raffaello project. This project is in the start-off phase in the Marche and Abruzzo regions of Italy and represents an excellent case study, it being a CRT aimed at evaluating the efficacy of a Disease Management model in the general population (with general practitioners therefore, being the cluster of randomization)

    Cardiology units and organizational models of heart transplantation centers: A survey by the Italian Association of Hospital Cardiologists-Italian Society for Organ Transplantation (ANMCO-SITO)

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    Background. The extent and quality of the involvement of cardiology units in health programs delivered by Italian centers for heart transplantation (HTx) have not been investigated previously. Methods. The Italian Association of Hospital Cardiologists (ANMCO) and the Italian Society for Organ Transplantation (SITO) developed and delivered a nationwide survey to the Directors of the Italian centers for HTx to investigate the extent to which cardiology units contribute to HTx programs. The survey investigated: (i) the organization of the centers and institutional frame under which cardiology units contributed to HTx programs; (ii) the volumes of procedures and clinical services delivered by cardiology units to HTx centers for listing patients, following those waiting for HTx, managing acute heart failure, selecting and allocating organs to recipients, following and managing organ rejection after HTx. Results. Of the 14 Italian centers involved, 13 provided full responses to the survey. Between 2017-2019, on average, 46% of the respondents performed up to 15 HTx/year, and additional 46% performed between 16 and 30 HTx/year. Of the respondents, 62% were included in a department of cardiac Surgery which did not include a cardiology unit; furthermore, 54% declared not to be included in a formal network for heart failure management. Cardiology units were the source for referrals of candidates to HTx in 85% cases. Of the respondents, 15% declared to be able to provide cardiological services thorough intra-center multidisciplinary team including cardiologists, whereas cardiological services were outsourced in 61% of the respondents. The clinical follow-up of patients waiting for HTx was performed directly by surgeons in 38% of the respondents. Worsening heart failure was managed directly by the HTx center in 33% of the cases using dedicated beds. Post-HTx follow-up, including endomyocardial biopsy, involved external cardiology units in less than 25% of the centers. Conclusions. The ANMCO-SITO survey shows that in Italy a very wide variability exists in terms of organization of HTx centers and their relationships with cardiology units for delivering specific cardiological services and procedures. In large majority, patient referral to HTx centers is mediated by cardiology units, whereas HTx was rarely included in a structured cardiological network for heart failure management

    Care manager to control cardiovascular risk factors in primary care: The Raffaello cluster randomized trial

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    Background and aim: This cluster randomized trial evaluated the efficacy of a disease and care management (D&CM) model in cardiovascular (CVD) prevention in primary care. Methods and results: Eligible subjects had ≥1 among: blood pressure≥140/90mmHg; glycated hemoglobin≥7%; LDL-cholesterol≥160 or ≥100mg/dL (primary or secondary prevention, respectively); BMI≥30; current smoking. The D&CM intervention included a teamwork including nurses as care managers for the implementation of tailored care plans. Control group was allocated to usual-care. The main outcome was the proportion of subjects achieving recommended clinical targets for ≥1 of uncontrolled CVD risk factors at 12-month. During 2008-2009 we enrolled 920 subjects in the Abruzzo/Marche regions, Italy. Following the exclusion of L'Aquila due to 2009 earthquake, final analyses included 762 subjects. The primary outcome was achieved by 39.1% (95%CI: 34.2-44.2) and 25.2% (95%CI: 20.9-29.9) of subjects in the intervention and usual-care group, respectively (p<0.001). The D&CM intervention significantly increased the proportion of subjects who achieved clinical targets for both diabetes and hypertension, with no differences in hypercholesterolemia, smoking status and obesity. Conclusions: The D&CM intervention was effective in controlling cardiovascular risk factors, in particular hypertension and diabetes. Numbers needed to treat were small. Such intervention may deserve further consideration in clinical practice. Registration number: ACTRN12611000813987. © 2013 Elsevier B.V

    Care manager to control cardiovascular risk factors in primary care: the Raffaello cluster randomized trial

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    This cluster randomized trial evaluated the efficacy of a disease and care management (D&CM) model in cardiovascular (CVD) prevention in primary care
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