[Integrated social and health care supported by home telemonitoring in patients with heart failure: the European SmartCare project in the Friuli Venezia Giulia Region]. / Efficacia delle cure integrate socio-sanitarie supportate dal telemonitoraggio domiciliare nello scompenso cardiaco: il progetto europeo SmartCare in Friuli Venezia Giulia.

BACKGROUND: Home care for patients with chronic diseases and specifically with heart failure (HF) is one of the main challenges of health care for the future. Telemedicine, applied to HF, allows intensive home monitoring of the most advanced patients, improving their prognosis and quality of life. The European SmartCare project was carried out in the Friuli Venezia Giulia (FVG) region with the aim of improving integrated health and social care in patients with chronic non-communicable diseases (CNCD) through home telemonitoring (TM) and promoting self-management and patient empowerment. METHODS: The SmartCare project in FVG was a prospective, randomized and controlled cohort study that enrolled, from November 2014 to February 2016, 201 patients in integrated home care ("usual care" [UC] in our study) to TM (n=100) or UC (n=101). Inclusion criteria were age >50 years, at least 1 CNCD (HF, chronic obstructive pulmonary disease, or diabetes) and 1 missing BADL. There were 19 drop-outs (9%) (12 in the TM arm; 7 in the UC arm; p=NS). All patients were followed by a multiprofessional team and stratified in the short-term pathway (3-6 months; average 4 ± 1 months; n=101), enrolled at discharge from hospitalization, or in the long-term pathway (6-12 months; mean 10 ± 3 months; n=100) for frail/chronic patients already followed in home care. RESULTS: The most frequent main diagnosis was HF (n=108, 54%), followed by diabetes (30%) and chronic obstructive pulmonary disease (16%). A Charlson score ≥3 was present in 75% of cases and over 60% were taking at least 7 drugs. Among the social characteristics of the enrolled population, 55% were living alone or with non-familial caregivers, 62% had primary education and 48% were non-self-sufficient. The days of hospitalization were significantly reduced only in the TM arm of the post-acute pathway (20 days of hospitalization avoided for 10 patient-months of follow-up, p=0.03) and the effect was mainly evident in patients with HF (p=0.02). A significant increase in the number of home accesses and telephone contacts were also documented in the TM group (12.7 and 13.7 more home interventions for 10 patient-months of follow-up; p=0.01 and p=0.002 in the post-acute and chronic pathway, respectively). CONCLUSIONS: The SmartCare-FVG project showed in patients with chronic diseases (mainly HF), in the post-acute phase of the disease, to significantly reduce the days of hospitalization with a limited and sustainable increase in the use of nursing home care resources.

Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals.

BACKGROUND: Waist circumference (WC) is the currently recommended marker of central fat for cardiometabolic risk screening. Alternative surrogate markers have been recently proposed to better reflect the metabolic impact of central fat accumulation per se, based on WC normalization by height (Weight-to-Height Ratio - WtoH; Body Roundness Index - BRI) or body mass index (BMI) without (A Body Shape Index - ABSI) or with inclusion of plasma triglyceride and HDL-cholesterol concentrations (Visceral Adiposity Index - VAI). METHODS: We investigated associations between WtoH, BRI, ABSI or VAI and insulin resistance (HOMA-index) or metabolic syndrome (MetS) in a general population cohort from the North-East Italy Mo.Ma. study (n = 1965, age = 49 ± 13 years, BMI = 26.7 ± 5.2 kg/m2). Baseline values were also evaluated as predictors of future insulin resistance and MetS in overweight-obese individuals undergoing 5-year follow-up (Ow-Ob) (n = 263; age = 54 ± 9, BMI = 30,7 ± 4,1). RESULTS: Compared to WC or BMI, basal WtoH and BRI were similarly associated with baseline HOMA and MetS prevalence after multiple adjustments (P < 0.001) and all markers similarly predicted 5-year HOMA and MetS (P < 0.001). Under basal conditions, superimposable results were observed for VAI whereas ABSI was less accurate or unable to identify baseline HOMA and MetS (p < 0.05 vs WtoH-BRI-VAI-WC-BMI). VAI had highest 5-year risk predictive value in Ow-Ob [ROC Area Under the Curve (AUC) VAI > WtoH-BRI-WC-BMI; p < 0.05] while no predictive value was in contrast observed for ABSI (ROC AUC ABSI < WtoH-BRI-WC-BMI; p < 0.05). Using alternate formulae with plasma lipid inclusion in ABSI and removal from VAI calculations completely reversed their 5-year predictive value and AUC. CONCLUSIONS: The current findings do not support replacement of WC with height-normalized anthropometric central fat surrogate markers to predict cardiometabolic risk in the general and overweight-obese population. BMI-normalization impairs risk assessment unless plasma lipid concentrations are available and included in calculations.

Estimating HIV prevalence and the impact of HIV/AIDS on a Ugandan hospital by combining serosurvey data and hospital discharge records.

OBJECTIVE: To estimate the disease-specific HIV prevalence in a northern Ugandan hospital and to evaluate the impact of HIV/AIDS on hospital services. DESIGN: HIV serosurvey and analysis of routinely compiled hospital records. METHODS: The serosurvey was conducted among all 352 patients admitted to the medical ward of the Lacor Hospital in March 1999 (this ward consists of 3 units: general medicine, tuberculosis, and cancer). The impact on hospital services was estimated using the hospital discharge records for all 3447 patients admitted in 1999, in combination with serosurvey data, and was expressed as the percentage of bed-days attributable to HIV-positive patients. RESULTS: The overall HIV prevalence was 42.0% (52.6, 44.6, and 13.2% in the general medicine, tuberculosis, and cancer units, respectively). The disease-specific prevalence ranged from 45-65% for patients with tuberculosis, pneumonia, malaria, and enteritis. HIV-positive patients, compared with HIV-negative patients, had a higher in-hospital mortality (14.6 vs. 3.0%) and a lower average length of stay (41.4 vs. 48.9 days). AIDS cases accounted for 5.0% of hospital admissions, 4.1% of bed-days, and 11.5% of deaths. When considering all HIV-positive patients, these accounted for 37.2% of the bed-days. CONCLUSIONS: Knowledge of disease-specific HIV prevalence and of the patterns of HIV-related diseases is crucial for early case management. The impact of HIV-positive patients on hospital services is quite high, accounting for >1/3 of the bed-days in 1999. Providing a continuum of care through inpatient, outpatient, and outreach home care services probably represents the only means of relieving the pressure on overloaded hospitals.