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Background: Left ventricular assist device (LVAD)-associated infections may be life-threatening and impact patients' outcome. We aimed to identify the characteristics, risk factors, and prognosis of LVAD-associated infections., Methods: Patients included in the ASSIST-ICD study (19 centers) were enrolled. The main outcome was the occurrence of LVAD-associated infection (driveline infection, pocket infection, or pump/cannula infection) during follow-up., Results: Of the 652 patients enrolled, 201 (30.1%) presented a total of 248 LVAD infections diagnosed 6.5 months after implantation, including 171 (26.2%), 51 (7.8%), and 26 (4.0%) percutaneous driveline infection, pocket infection, or pump/cannula infection, respectively. Patients with infections were aged 58.7 years, and most received HeartMate II (82.1%) or HeartWare (13.4%). Most patients (62%) had implantable cardioverter-defibrillators (ICDs) before LVAD, and 104 (16.0%) had ICD implantation, extraction, or replacement after the LVAD surgery. Main pathogens found among the 248 infections were Staphylococcus aureus (n = 113' 45.4%), Enterobacteriaceae (n = 61; 24.6%), Pseudomonas aeruginosa (n = 34; 13.7%), coagulase-negative staphylococci (n = 13; 5.2%), and Candida species (n = 13; 5.2%). In multivariable analysis, HeartMate II (subhazard ratio, 1.56; 95% CI, 1.03 to 2.36; P = .031) and ICD-related procedures post-LVAD (subhazard ratio, 1.43; 95% CI, 1.03-1.98; P = .031) were significantly associated with LVAD infections. Infections had no detrimental impact on survival., Conclusions: Left ventricular assist device-associated infections affect one-third of LVAD recipients, mostly related to skin pathogens and gram-negative bacilli, with increased risk with HeartMate II as compared with HeartWare, and in patients who required ICD-related procedures post-LVAD. This is a plea to better select patients needing ICD implantation/replacement after LVAD implantation., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Human leukocyte antigen (HLA) donor-specific antibodies are key serum biomarkers for assessing the outcome of transplanted patients. Measuring their active concentration, i.e. the fraction that really interacts with donor HLA, and their affinity could help deciphering their pathogenicity. Surface plasmon resonance (SPR) is recognized as the gold-standard for measuring binding kinetics but also active concentrations, without calibration curves. SPR-based biosensors often suffer from non-specific binding (NSB) occurring with the sensor chip surface and the immobilized targets, especially for complex media such as human serum. In this work we show that several serum treatments such as dialysis or IgG purification reduce NSB but insufficiently for SPR applications. We then demonstrate that the NSB contribution to the SPR signal can be eliminated to determine precisely and reliably the active concentration and the affinity of anti-HLA antibodies from patients' sera. This was achieved even at concentrations close to the limit of quantification of the method, in the 0.5-1 nM range. The robustness of the assay was demonstrated by using a wide range of artificially generated NSB and by varying the density of the targets captured onto the surface. The assay is of general interest and can be used with molecules generating strong NSB, as far as a non-cognate target structurally close to the target can be captured on the same flow cell, in a different binding cycle. Compared with current fluorescence-based methods that are semi-quantitative, we expect this SPR-based assay to help better understanding anti-HLA antibodies pathogenicity and improving organ recipients' management., (Copyright © 2018 Elsevier B.V. All rights reserved.)

A major obstacle for computing optical spectra of solids is the lack of reliable approximations for capturing excitonic effects within time-dependent density functional theory. We show that the accurate prediction of strongly bound electron-hole pairs within this framework using simple approximations is still a challenge and that available promising results have to be revisited. Deriving a set of analytical formulas we analyze and explain the difficulties. We deduce an alternative approximation from an iterative scheme guided by previously available knowledge, significantly improving the description of exciton binding energies. Finally, we show how one can "read" exciton binding energies from spectra determined in the random phase approximation, without any further calculation.