Multicenter evaluation of a high-throughput microarray platform for extensive red blood cell phenotyping and antibody screening.

BACKGROUND: Blood typing and antibody screening are key elements of transfusion safety. However, available single platform, flexible, and affordable technologies are limited, especially for extended phenotyping. Microarray-based technology allows for this extended phenotyping with the flexibility of piecemeal analysis. STUDY DESIGN AND METHODS: This study was conducted in three blood donor laboratories to determine the performance of a high-throughput microarray-based system for ABO, RH1-RH5, and KEL1 typing, ABS and extended phenotyping (RH8, KEL2&3, FY1&2, JK1, MNS3). Specimens were tested simultaneously on local platforms and on the microarray-based system. When discrepancies were identified, resolver testing were performed. RESULTS: In total, 4862 blood samples were tested for standard phenotype, 4257 for antibody screening and 2194 for extended phenotype. Results were available for 92.12% of the samples. The overall percent agreements were: 100% for ABO, 99.8% for RH1, 99.24% for RH2-5 and 99.86% for KEL1, 93.16% for antibody screening, and 99.68% for extended phenotype. CONCLUSIONS: This microarray-based system provides highly comparable results to current CE marked assays. The ability to continuously test 3000 microarrays in 1 day, providing simultaneously both extended RBC phenotyping and antibody detection drives laboratory efficiencies. The results of our study validate the performance of this new technology; however, the percentage of samples without results must be reduced and further analysis is required to interpret the ABS screening performances. This could constitute a real breakthrough in transfusion, making it possible in the long term, on a single platform, to carry out all the analyses necessary for the qualification of donations.

A Higher Intake of Energy at Dinner Is Associated with Incident Metabolic Syndrome: A Prospective Cohort Study in Older Adults.

A higher energy intake (EI) at night has been associated with a higher risk of obesity, while a higher EI at lunch may protect against weight gain. This study examined the association between EI throughout the day and incident metabolic syndrome (MetS) among older adults. A cohort of 607 individuals aged ≥ 60 free from MetS at baseline was followed from 2008-2010 until 2015. At baseline, habitual EI was assessed on six eating occasions: breakfast, mid-morning snack, lunch, afternoon snack, dinner, and snacking. MetS was defined according to the harmonized definition. Statistical analyses were performed with logistic regression and adjusted for the main confounders, including total EI, diet quality, and physical activity/sedentary behavior. During follow-up, 101 new MetS cases occurred. Compared to the lowest sex-specific quartile of EI at dinner, the OR (95% confidence interval) for incident MetS were: 1.71 (0.85-3.46) in the second, 1.70 (0.81-3.54) in the third, and 2.57 (1.14-5.79) in the fourth quartile (p-trend: 0.034). Elevated waist circumference and triglycerides were the MetS components that most contributed to this association. A higher EI at dinner was associated with a higher risk of MetS in older adults. Reducing EI at dinner might be a simple strategy to prevent MetS.

General and central obesity operate differently as predictors of falls requiring medical care in older women: a population-based cohort study in Spain.

OBJECTIVES: to examine the association of general and abdominal obesity with falls, falls requiring medical care and falls with fractures in older women. DESIGN: a population-based prospective cohort of 1,185 women aged ≥60 in Spain, followed up from 2008 to 2010 through 2012. MEASURES: weight, height and waist circumference were measured at baseline using standardised techniques. Participants were classified according to body mass index as normal weight (<25), overweight (25-29.9) and general obesity (≥30). Abdominal obesity was defined as waist circumference >88 cm. In 2012, participants reported the falls experienced in the previous year. Logistic regression models were mutually adjusted for general and abdominal obesity and for main confounders. RESULTS: in this cohort of older women, a total of 336 women experienced falls, 168 of them had falls requiring medical care and 64 falls with fractures. For falls, no association was found with general obesity nor abdominal obesity. However, compared with normal weight, overweight women had a decreased risk for falls requiring medical care [odds ratio (OR) 0.57; 95% confidence interval (CI) 0.34-0.94] and for falls with fractures (OR 0.27; 95% CI 0.12-0.63). The corresponding values for general obesity were 0.44 (0.24-0.81) and 0.30 (0.11-0.82). Abdominal obesity was positively associated with falls requiring medical care (OR 1.82; 95% CI 1.12-2.94) and falls with fractures (OR 2.75; 95% CI 1.18-6.44). CONCLUSIONS: in older women, general obesity may protect from falls requiring medical care and falls with fractures. On the contrary, abdominal obesity increased the risk of suffering from types of falls.