Abdominal obesity negatively influences key metrics of reverse cholesterol transport.

Cardiometabolic risk factors increase the risk of atherosclerotic cardiovascular disease (ASCVD), but whether these metabolic anomalies affect the anti-atherogenic function of reverse cholesterol transport (RCT) is not yet clearly known. The present study aimed to delineate if the function and maturation of high density lipoprotein (HDL) particles cross-sectionally associate with surrogate markers of ASCVD in a population comprising of different degree of cardiometabolic risk. We enrolled 131 subjects and characterized cardiometabolic risk based on the IDF criteria's for metabolic syndrome (MS). In this population, cholesterol efflux capacity (CEC), Lecithin-cholesterol acyltransferase (LCAT) and ApoA-1 glycation was associated with waist circumference, abdominal visceral fat (VFA) and abdominal subcutaneous fat. In multivariate analyses, VFA was identified as a critical contributor for low CEC and LCAT. When stratified into groups based on the presence of cardiometabolic risk factors, we found a prominent reduction in CEC and LCAT as a function of the progressive increase of cardiometabolic risk from 0-2, 0-3 to 0-4/5, whereas an increase in Pre-ß-HDL and ApoA-1 glycation was observed between the lowest and highest risk groups. These findings confirm the connection between MS and its predisposing conditions to an impairment of atheroprotective efflux-promoting function of HDLs. Furthermore, we have identified the bona fide pathogenically contribution of abdominal obesity to profound alterations of key metrics of RCT.

Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects.

Metabolic Syndrome (MS) is characterized by a low-grade inflammatory state causing an alteration of non-invasive indexes derived from blood count, namely monocyte-to-HDL ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). We analyse a population of 771 subjects (394 controls and 377 MS patients) to evaluate the best predictive index of MS. The diagnosis of MS was made according to the 2006 criteria of the International Diabetes Federation (IDF). We performed ROC curve analyses to evaluate the best predictor index of MS. MHR cut-off value was used to classify the population in two different groups and to create the outcome variable of the Recursive Partitioning and Amalgamation (RECPAM) analysis. This method is a tree-structured approach that defines "risk profiles" for each group of dichotomous variables. We showed that MHR index is significantly linked to body mass index (BMI), waist circumference, creatinine, C-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR). ROC curve defined an MHR cut-off value of 6.4, which was able to identify two patient groups with significant differences in waist circumference, blood pressure, creatinine, estimated glomerular filtration rate and fasting plasma glucose. RECPAM analysis demonstrated that gender, BMI categorization and hyperglycaemia were the most important risk determinants of increased MHR index that can be considered bona fide a useful and easily obtainable tool to suggest the presence of peculiar metabolic features that predict MS.

An Old Challenge with New Promises: A Systematic Review on Comprehensive Geriatric Assessment in Long-Term Care Facilities.

Comprehensive geriatric assessment (CGA) is a multidimensional and multidisciplinary diagnostic process focused on determining the clinical profile, pathological risk, residual skills, short- and long-term prognosis, and personalized therapeutic and care plan of the functionally compromised and frail older subjects. Previous evidence suggested that the effectiveness of CGA programs may be influenced by settings where the CGA is performed [i.e., hospital, posthospital discharge/long-term care facilities (LTCFs), or community/home] as well as the specific clinical conditions of older frail individuals. In this scenario, CGA and quality of care in LTCFs have been a challenge for decades. In the present article, we systematically reviewed evidence from the last three decades of clinical research devoted to systematic implementation of CGA programs in LTCFs, that is, nursing homes, care homes, residential homes, and rehabilitation facilities. In the United States, all LTC residents must undergo a CGA on a regular basis on admission to a facility, prompting the development of the Resident Assessment Instrument (RAI) Minimum Data Set, a specific CGA-based assessment tool in this population. In the LTCF setting, the present reviewed evidence suggested that most complex older subjects may benefit from a CGA in terms of improved quality of care and reduced hospitalization events and that CGA must be standardized across healthcare settings to promote greater health system integration and coordination. In the LTCF setting, particularly in nursing homes, other new and promising CGA programs have also been proposed to develop rapid screening CGA-based tools to enhance in the future the ability of primary care physicians to recognize and treat geriatric syndromes in this setting. However, at present, the interRAI suite of instruments represented an integrated health information system that has the potential to provide person-centered information transcending healthcare settings.