There is moderate-quality evidence that optimized anaesthesia guided by processed EEG indices could reduce the risk of postoperative delirium in patients aged 60 years or over undergoing non-cardiac surgical and non-neurosurgical procedures. We found moderate-quality evidence that postoperative cognitive dysfunction at three months could be reduced in these patients. The effect on POCD at one week and over one year after surgery is uncertain. There are no data available for patients under 60 years. Further blinded randomized controlled trials are needed to elucidate strategies for the amelioration of postoperative delirium and postoperative cognitive dysfunction, and their consequences such as dementia (including Alzheimer's disease (AD)) in both non-elderly (below 60 years) and elderly (60 years or over) adult patients. The one study awaiting classification and five ongoing studies may alter the conclusions of the review once assessed.
During PACU, however, there were two differences between the DEX and placebo groups: 1) a lower pain score at PACU; and 2) a prolonged time to the first use of morphine at PACU in the DEX group as compared with the placebo group. A low-dose DEX had a weaker though still measurable effect in this clinical trial compared with trials using higher doses.
Purpose After damage control surgery, trauma patients are transferred to intensive care units to restore the physiology. During this period, massive transfusion might be required for ongoing bleeding and coagulopathy. This research aimed to identify predictors of massive blood transfusion in the surgical intensive care units (SICUs). Methods This is an analysis of the THAI-SICU study which was a prospective cohort that was done in the 9-university-based SICUs in Thailand. The study included only patients admitted due to trauma mechanisms. Massive transfusion was defined as received ≥10 units of packed red blood cells on the first day of admission. Patient characteristics and physiologic data were analyzed to identify the potential factors. A multivariable regression was then performed to identify the significant model. Results Three hundred and seventy patients were enrolled. Sixteen patients (5%) received massive transfusion in the SICUs. The factors that significantly predicted massive transfusion were an initial sequential organ failure assessment (SOFA) ≥9 (risk difference (RD) 0.13, 95% confidence interval ( CI ): 0.03–0.22, p = 0.01); intra-operative blood loss ≥ 4900 mL (RD 0.33, 95% CI : 0.04–0.62, p = 0.02) and intra-operative blood transfusion ≥ 10 units (RD 0.45, 95% CI : 0.06 to 0.84, p = 0.02). The probability to have massive transfusion was 0.976 in patients who had these 3 factors. Conclusion Massive blood transfusion in the SICUs occurred in 5%. An initial SOFA ≥9, intra-operative blood loss ≥4900 mL, and intra-operative blood transfusion ≥10 units were the significant factors to predict massive transfusion in the SICUs.
Background:The Royal College of Anesthesiologists of Thailand (RCAT) performed large-scale epidemiologic study of anesthesia-related complications and national incidents study in 2004 and 2007, respectively. Objectives: Evaluate the anesthesia service in Thailand with regard to status of quality and patient safety. Material and methods: A pre-planned structured questionnaire regarding demographic, administrative, preanesthetic, intraoperative postanesthetic variables and complications were requested to be filled in by nurse anesthetists attending the refresher course lecture of RCAT in February 2008. Descriptive statistics was used. Results: Three hundred fifty questionnaires were given and 341 respondents (97%) returned the questionnaires. Most of the respondents (90%) worked in government section. Thirty percent of respondents practiced in hospital without medical doctor anesthesiologist and 58% of nurse anesthetists worked in hospitals that have been accredited. Forty-six percent of respondents reported unavailability of a 24-hour recovery room. The questionnaires revealed of inadequacy of anesthesia personnel (64%), inadequate supervision during emergency condition (53%), inadequacy of patient information regarding anesthesia (57-69%), and low opportunity for patient to choose choice of anesthesia (19%). The commonly used monitoring were pulse oximeter (92% of respondents) and electrocardiography (63%). One-third (32%) of respondents had to provide of anesthesia for patients with insufficient NPO (non per oral) time. Common problems that the respondents experienced were miscommunication (49%), intraoperative cardiac arrest during the past year (35%), error related to infusion pump (24%) and medication error (8%). Fifty-five percent of respondents had to monitor at least one patient per month receiving spinal anesthesia. Conclusion: Suggested strategies for quality and patient safety improvement in anesthesia service are increasing personnel, increasing 24-hour recovery room, improvement of supervision, improvement of communication, compliance to guidelines and improvement of nurse anesthetist's training regarding monitoring patient receiving spinal anesthesia and cardiopulmonary resuscitation.
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