[Patterns of Perioperative Blood Transfusion in Patients with Blood Loss during Major Cardiac Surgery].

Objective To investigate the patterns of perioperative blood transfusion in patients with blood loss during major cardiac surgery,so as to provide data reference for rational and standardized blood use.Methods The adult patients(aged 18 years or above)who underwent vascular surgery,coronary artery bypass grafting surgery,heart valve surgery or surgery for congenital heart disease in a national multicenter(four large hospitals)survey in China,2015-2016 were included in this study.We described their baseline characteristics,postoperative outcomes,and in particular,bleeding and patterns of perioperative blood transfusion(autologous and allogeneic,the latter including red blood cells,plasma,and platelet,or a combination of these components).Results Autologous blood transfusion in operation accounted for the highest proportion(58.84%)in patients undergoing heart valve surgery.The patients undergoing vascular surgery had the largest autologous blood transfusion volume(722 ml)and the highest intraoperative transfusion proportion of allogeneic blood(53.28%),especially that of platelet(39.34%).Compared with the transfusion of red blood cells,the transfusion of other blood components showed concentrated time distribution,and the proportion of plasma transfusion was the highest one day post operation.With the increase in bleeding volume,combined transfusion presented increased proportion and became the dominant transfusion pattern.Conclusions The blood transfusion patterns varied significantly depending on different types of cardiac surgery,different perioperative stages,and different bleeding volumes.It is necessary to formulate the targeted transfusion practice scheme on the basis of understanding the current situation,so as to make better use of blood resources and improve the safety of transfusion.

Fatigue correlates with sleep disturbances in Parkinson disease.

BACKGROUND: Many Parkinson disease (PD) patients complain about chronic fatigue and sleep disturbances during the night. The objective of this study is to determine the relationship between fatigue and sleep disturbances by using polysomnography (PSG) in PD patients. METHODS: Two hundred and thirty-two PD patients (152 with mild fatigue and 80 with severe fatigue) were recruited in this study. Demographic information and clinical symptoms were collected. Fatigue severity scale (FSS) was applied to evaluate the severity of fatigue, and PSG was conducted in all PD patients. FSS ≥4 was defined as severe fatigue, and FSS <4 was defined as mild fatigue. Multivariate logistic regression and linear regression models were used to investigate the associations between fatigue and sleep disturbances. RESULTS: Patients with severe fatigue tended to have a longer duration of disease, higher Unified Parkinson Disease Rating Scale score, more advanced Hoehn and Yahr stage, higher daily levodopa equivalent dose, worse depression, anxiety, and higher daytime sleepiness score. In addition, they had lower percentage of rapid eye movement (REM) sleep (P = 0.009) and were more likely to have REM sleep behavior disorder (RBD) (P = 0.018). Multivariate logistic regression analyses found that the presence of RBD and proportion of REM sleep were the independent predictors for fatigue. After the adjustment of age, sex, duration, body mass index, severity of disease, scores of Hamilton Rating Scale for Depression, Hamilton Anxiety Rating Scale, and other sleep disorders, proportion of REM sleep and degree of REM sleep without atonia in patients with PD were still associated with FSS score. CONCLUSION: Considering the association between fatigue, RBD, and the altered sleep architecture, fatigue is a special subtype in PD and more studies should be focused on this debilitating symptom.