Table of contentsP001 - Sepsis impairs the capillary response within hypoxic capillaries and decreases erythrocyte oxygen-dependent ATP effluxR. M. Bateman, M. D. Sharpe, J. E. Jagger, C. G. EllisP002 - Lower serum immunoglobulin G2 level does not predispose to severe flu.J. Solé-Violán, M. López-Rodríguez, E. Herrera-Ramos, J. Ruíz-Hernández, L. Borderías, J. Horcajada, N. González-Quevedo, O. Rajas, M. Briones, F. Rodríguez de Castro, C. Rodríguez GallegoP003 - Brain protective effects of intravenous immunoglobulin through inhibition of complement activation and apoptosis in a rat model of sepsisF. Esen, G. Orhun, P. Ergin Ozcan, E. Senturk, C. Ugur Yilmaz, N. Orhan, N. Arican, M. Kaya, M. Kucukerden, M. Giris, U. Akcan, S. Bilgic Gazioglu, E. TuzunP004 - Adenosine a1 receptor dysfunction is associated with leukopenia: A possible mechanism for sepsis-induced leukopeniaR. Riff, O. Naamani, A. DouvdevaniP005 - Analysis of neutrophil by hyper spectral imaging - A preliminary reportR. Takegawa, H. Yoshida, T. Hirose, N. Yamamoto, H. Hagiya, M. Ojima, Y. Akeda, O. Tasaki, K. Tomono, T. ShimazuP006 - Chemiluminescent intensity assessed by eaa predicts the incidence of postoperative infectious complications following gastrointestinal surgeryS. Ono, T. Kubo, S. Suda, T. Ueno, T. IkedaP007 - Serial change of c1 inhibitor in patients with sepsis – A prospective observational studyT. Hirose, H. Ogura, H. Takahashi, M. Ojima, J. Kang, Y. Nakamura, T. Kojima, T. ShimazuP008 - Comparison of bacteremia and sepsis on sepsis related biomarkersT. Ikeda, S. Suda, Y. Izutani, T. Ueno, S. OnoP009 - The changes of procalcitonin levels in critical patients with abdominal septic shock during blood purificationT. Taniguchi, M. OP010 - Validation of a new sensitive point of care device for rapid measurement of procalcitoninC. Dinter, J. Lotz, B. Eilers, C. Wissmann, R. LottP011 - Infection biomarkers in primary care patients with acute respiratory tract infections – Comparison of procalcitonin and C-reactive proteinM. M. Meili, P. S. SchuetzP012 - Do we need a lower procalcitonin cut off?H. Hawa, M. Sharshir, M. Aburageila, N. SalahuddinP013 - The predictive role of C-reactive protein and procalcitonin biomarkers in central nervous system infections with extensively drug resistant bacteriaV. Chantziara, S. Georgiou, A. Tsimogianni, P. Alexandropoulos, A. Vassi, F. Lagiou, M. Valta, G. Micha, E. Chinou, G. MichaloudisP014 - Changes in endotoxin activity assay and procalcitonin levels after direct hemoperfusion with polymyxin-b immobilized fiberA. Kodaira, T. Ikeda, S. Ono, T. Ueno, S. Suda, Y. Izutani, H. ImaizumiP015 - Diagnostic usefullness of combination biomarkers on ICU admissionM. V. De la Torre-Prados, A. Garcia-De la Torre, A. Enguix-Armada, A. Puerto-Morlan, V. Perez-Valero, A. Garcia-AlcantaraP016 - Platelet function analysis utilising the PFA-100 does not predict infection, bacteraemia, sepsis or outcome in critically ill patientsN. Bolton, J. Dudziak, S. Bonney, A. Tridente, P. NeeP017 - Extracellular histone H3 levels are in...

Aim To systematically evaluate the effect of work schedule characteristics on fatigue among shift nurses in hospital settings. Background The complexity and multidimensional nature of nursing work may lead to fatigue. This review mainly focused on work schedule characteristics that may mitigate the fatigue in nurses. Evaluation Six databases were searched, and eight relevant research articles published between 2000 and 2018 were identified. Key issues The reviewed articles provided evidence supporting the association of work schedule characteristics such as total working hours, overtime, shift length and number of monthly night and evening shifts with fatigue. In addition, studies provided evidence for the positive association between insufficient rest period between shifts and fatigue among shift nurses in hospital settings. Conclusion The reviewed studies provided mixed results regarding the associations between work schedule characteristics and nurse fatigue. However, quick returns and days called to work on days off were consistent factors contributing to nurse fatigue. More evidence is needed to arrive at a definitive conclusion about such relationships. Implication for nursing management Nursing managers and administrators need to carefully review current rotating shift system and examine its impact on nurse fatigue as well as ensure enough resting time when developing nurse schedules.

Aims: To examine the relationship between breaks and patient safety in Korean hospitals and determine the mediating effect of missed nursing care on this relationship. Background: Breaks during working hours can affect patient safety; however, few studies have examined the relationship between breaks and patient safety in hospitals and their findings were conflicting. Methods: A cross-sectional online survey was conducted with 399 nurses in Korean hospitals. Multiple linear regression was used to explore the association between breaks, missed nursing care and patient safety. Model 4 of Hayes's (2018) and bootstrapping analysis were employed to identify the mediating effect of missed nursing care. Results: Average break time per shift was about 15 min; most participants had breaks of less than 30 min. Missed nursing care was a complete mediator of the relationship between breaks and patient safety. Conclusion: Break length has an indirect effect on patient safety, medication errors and falls with injury through missed nursing care. Implications for Nursing Management: More discussion is needed to develop policy and mandatory regulations to ensure sufficient breaks and adequate nurse staffing to reduce missed nursing care and enhance patient safety. K E Y W O R D S accidental falls, medication errors, nursing care, patient safety, rest | 2267 MIN et al. reported missing at least one nursing care activity (Griffiths et al., 2018). Another review reported that most nursing personnel (55%-98%) left at least one task undone during their shifts (Jones et al., 2015). The outcomes of missed nursing care are closely related to patient safety. According to Jones et al. (2015) and Recio-Saucedo et al.'s (2018) studies, missed nursing care affects almost all patient safety outcomes including medication errors, patient falls, nosocomial infections, urinary tract infections, pressure ulcers and patient readmission. It is important to eliminate the well-known predictors of missed nursing care (AHRQ, 2019; Kalisch, Xie, & Ronis, 2013) and identify additional associated factors that can be modified. Based on previous research, the most consistent factors of missed nursing care are insufficient nurse staffing (

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Most nurses in Korea work rotating shifts, an important contributor to fatigue. The Occupational Fatigue Exhaustion Recovery (OFER) Scale assesses work‐related fatigue among nurses. In this study, we aimed to translate and culturally adapt the Korean version of this scale (OFER‐K) with nurses working rotating shifts in Korea. Instrument adaptation was performed using committee‐based translation, cognitive interviewing, and expert panel interviewing. Criterion validity, convergent validity, construct validity, internal consistency, and test–retest reliability were examined as psychometric properties of the OFER‐K. An online survey was completed by 331 nurses; 107 of these nurses completed a second survey after 1 month to assess test–retest reliability. The overall Cronbach's alpha was 0.88. The correlation between participants’ initial and retest responses for the total scale was 0.64 (p < .001). The chronic fatigue subscale was stable over time, t(106) = −1.76, p = .08. Criterion and convergent validity were supported by correlations between the OFER‐K scale and the Chalder Fatigue Questionnaire, Epworth Sleepiness Scale, and Pittsburgh Sleep Quality Index. Confirmatory factor analysis showed a good fit using a three‐factor model. The findings of this study showed that the OFER‐K scale is a reliable and valid instrument for assessing chronic fatigue, acute fatigue, and inter‐shift recovery in Korean nurses. Future research using this scale may lead to a better understanding of the antecedents and consequences of nurse fatigue and could provide important information to nurse researchers, administrators, and policymakers for developing interventions to reduce nurse fatigue.