Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit.

Purpose: Monitoring and improving sleep quality may help recovery from major illness. Polysomnography is a gold standard for measuring sleep quality, but routine use is not practical. The goal of this study is to investigate the diagnostic accuracy of an alternative monitor, the Bispectral Index (BIS), for evaluating the quality of sleep-in postoperative patients in the intensive care unit (ICU). Study design: An observational study. Materials and methods: Patients admitted to postoperative ICU after elective major noncardiac surgery were monitored with both BIS and PSG during the first night. The temporally synchronized data from both monitors were obtained for measurement of the association. Clinical outcomes were compared between patients with different postoperative sleep quality. Results: Thirty-three patients were enrolled in this study. For determining the average BIS index associated with good postoperative sleep quality, receiver operating characteristics (ROC) curve was generated. Area under the ROC curve (AUC) was 0.65. The cutoff with best discriminability was 75 with a sensitivity of 68% and a specificity of 56%. Compared with those with good and poor postoperative sleep quality, there were no differences in main postoperative outcomes including duration of mechanical ventilation and ICU stay. Although the quality of sleep after surgery of all subjects with postoperative delirium was poor, the incidence of delirium between the groups did not significantly differ (0% vs 10.3%; p = 0.184). Conclusion: The monitoring of BIS is a viable tool for evaluating sleep quality in mechanically ventilated patients in the postoperative ICU with acceptable precision. Trial registration: www.clinicaltrials.in.th, TCTR20200310005. How to cite this article: Sirilaksanamanon P, Thawitsri T, Charuluxananan S, Chirakalwasan N. Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit. Indian J Crit Care Med 2023;27(11):795-800.

Endotoxemia and circulating bacteriome in severe COVID-19 patients.

BACKGROUND: When severe, COVID-19 shares many clinical features with bacterial sepsis. Yet, secondary bacterial infection is uncommon. However, as epithelium is injured and barrier function is lost, bacterial products entering the circulation might contribute to the pathophysiology of COVID-19. METHODS: We studied 19 adults, severely ill patients with COVID-19 infection, who were admitted to King Chulalongkorn Memorial Hospital, Bangkok, Thailand, between 13th March and 17th April 2020. Blood samples on days 1, 3, and 7 of enrollment were analyzed for endotoxin activity assay (EAA), (1 → 3)-ß-D-glucan (BG), and 16S rRNA gene sequencing to determine the circulating bacteriome. RESULTS: Of the 19 patients, 13 were in intensive care and 10 patients received mechanical ventilation. We found 8 patients with high EAA (≥ 0.6) and about half of the patients had high serum BG levels which tended to be higher in later in the illness. Although only 1 patient had a positive blood culture, 18 of 19 patients were positive for 16S rRNA gene amplification. Proteobacteria was the most abundant phylum. The diversity of bacterial genera was decreased overtime. CONCLUSIONS: Bacterial DNA and toxins were discovered in virtually all severely ill COVID-19 pneumonia patients. This raises a previously unrecognized concern for significant contribution of bacterial products in the pathogenesis of this disease.

Prediction of massive transfusion in trauma patients in the surgical intensive care units (THAI-SICU study).

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.

Bright light and oxygen therapies decrease delirium risk in critically ill surgical patients by targeting sleep and acid-base disturbances.

This study examined the effects of bright light therapy (BLT) on the incidence of delirium in post-operative patients admitted to a surgical intensive care unit (SICU) and delineates risk and protective factors. We included 62 patients in a single-blind, randomized controlled study. The intervention group was treated with care as usual plus BLT for three consecutive days. Delirium was diagnosed by DSM-5 criteria with the Confusion Assessment Method-Intensive Care Unit (CAM-ICU). Risk factors for delirium were measured, including the APACHE II score, Insomnia Severity Index (ISI), as well as hematocrit and bicarbonate levels. Results were adjusted for treatment with nasal cannula oxygen and medications. Thirteen patients developed delirium within the three days following surgery. Generalized estimating equations analysis showed a significant preventive effect of BLT on delirium, which was independent of risk or treatment factors. Higher APACHE-II and ISI scores, lower hematocrit and lower bicarbonate levels increased the risk of developing delirium. BLT plus nasal cannula oxygen significantly reduced the likelihood of delirium. BLT significantly lowered ISI scores, while nasal cannula oxygen significantly enhanced bicarbonate levels. The results indicate that BLT and supplementary oxygen therapy may protect against delirium by targeting sleep-wake and deficits in the bicarbonate buffer system.

A Multi-Center Thai University-Based Surgical Intensive Care Units Study (THAI-SICU Study): Outcome of ICU Care and Adverse Events.

Objective: Surgical intensive care units (SICUs) are special units for critically ill surgical patients both in the pre and postoperative period. There is little aggregated information about surgical patients who are admitted to the Thai surgical ICU. The objective of this report was to describe patient characteristics, outcomes of ICU care, incidence and outcomes of adverse events in the SICU in the participating SICUs. Material and Method: This multi-center, prospective, observational study of nine university-based SICUs was done. All admitted patients with ages >18 years old were included. Information about patient characteristics, underlying medical problems, indication and type of ICU admission, severity score as ASA physical status in operative patients, APACHE II score and SOFA score, adverse events of interest, ventilator days, ICU and 28 days mortality. The association of outcome and predictors was reported by relative risk (RR) with 95% confidence interval (95% CI). Statistical significant difference was defined by p<0.05. Results: During April 2011-January 2013 of total cohort time, a total of 4,652 patients from nine university-based SICUs were included in this study. Mode of patient age was 71-75 year old for both sexes. Median (IQR) of APACHE II scores and SOFA scores were 10 (7-10) and 2 (1-5), respectively. Seventy eight percent of patients were postoperative patients and 50% of them were ASA physical status III. The median of ICU stay was 2 (IQR 1-4) days. Each day of ICU increment was associated with increased 1.4 days of a hospital stay. Three percent of survived at discharge were clinically inappropriate discharge resulting in ICU readmission. Sixty-five percent were discharged home after ICU admission. ICU and 28 days mortality was 9.6% and 13.8%. The seven most common adverse events were sepsis (19.5%), acute kidney injury (AKI) (16.9%), new cardiac arrhythmias (6.2%), acute respiratory distress syndrome (ARDS) (5.8%), cardiac arrest (4.9%), delirium (3.5%) and reintubation within 72 hours (3.0%), respectively. Most of the adverse events occurred in the first five days, significantly less occurred after 15 days of ICU admission. The association between adverse events and 28 days mortality were significant for cardiac arrest (RR, 9.5; 95% CI, 8.6-10.4), respiratory failure [acute respiratory distress syndrome (ARDS) (RR, 4.6; 95% CI, 3.9-5.3), acute lung injury (ALI) (RR, 2.7; 95% CI, 2.1-3.6)], acute kidney injury (AKI) (RR, 4.2; 95% CI, 3.7-4.8), sepsis (RR, 3.6; 95% CI, 3.2-4.2), iatrogenic pneumothorax (RR, 3.2; 95% CI, 2.1-5.1), new seizure (RR, 3.1, 95% CI, 2.2-4.4), upper GI hemorrhage (RR, 3.0, 95% CI, 2.1-4.1), new cardiac arrhythmias (RR, 2.9; 95% CI, 2.4-3.5), delirium (RR, 2.1; 95% CI, 1.7-2.8), acute myocardial infarction (RR, 2.1; 95% CI, 1.4-3.1), unplanned extubation (RR, 2.1; 95% CI, 1.4-3.1), intra-abdominal hypertension (RR, 1.8; 95% CI, 1.2-2.7) and reintubation within 72 hours (RR, 1.5; 95% CI, 1.1-2.1). Conclusion: This is the first large study of surgical critical care in Thailand, which had a systematic patient follow-up program. Most of the patients were elderly. Adverse events were most frequent during the first 5 days of admission and were associated with ICU and 28 days mortality.

The Impacts of Surgical Intensive Care Unit Admission Source on Morbidity and Mortality Outcomes: The Results from the THAI-SICU Study.

Objective: The present study aims to examine the association between admission source and outcomes in surgical ICU (SICU) patients. Material and Method: The data in the present report were retrieved from the THAI-SICU database which was designed as a multi-center prospective observational study. The data were collected at 9 university-based surgical ICUs over 22 months from April 2011 to January 2013. Results: The sources of SICU admissions were categorized into operating room (OR) group with 3,238 admissions (69.6%), emergency room (ER) group with 499 admissions (10.7%), ward group with 825 admissions (17.7%), and other ICUs group with 90 admissions (1.9%). In view of transfer from other hospitals, the transfer group included 938 patients (20.2%) while the non-transfer group included 3,714 patients (79.8%). Patients admitted from other ICUs were nearly three-times more likely to die in SICU (adjusted odds ratio (OR) 2.89; 95% confidence interval (CI) 1.52-5.51, p = 0.001) than those who came from operating room. However, the ward group still had a high risk to dying (OR 2.49; 95 % CI 1.88-3.30, p<0.001). In view of outcomes for inter-hospital transfer patients, the transfer group was at greater risk of dying in SICU and had greater risk of 28-day mortality than the non-transfer group. Conclusion: Surgical, critically ill patients, who transferred from other ICUs to SICU, have the highest risk of ICU morbidity and mortality. In addition, ward patients and transfer patients also have high risk of unfavorable outcomes.

Self-Reporting of Medication Errors in Critically Ill Surgical Patients in the THAI-SICU Study.

Objective: The objective of this study was to collect the data of medication errors by the self-report of doctors and nurses in critically ill surgical patients. Material and Method: All data were collected from THAI-SICU database in nine medical schools in Thailand during a period of 22 months. The occurrence and medication error related factors were recorded. Results: From 4,652 admissions, there were only 10 cases of medication error. Of these, there were only 7 cases of complete self-report medication error, and all of them had no critical side effects. Most cases were of receiving wrong doses of medicine especially overdosing. The medicine preparers, administrators and the error detectors were mostly nurses. For immediate outcomes, two cases were reported of low blood pressure and one case was reported of lowering self-conscious. For longterm outcomes, there were two cases of prolonged ICU stays. Regarding the contributing factors, the most frequent problem found was communication. The most important factor minimizing incidents was to increase proper care. As to suggested corrective strategies, it was found that improved supervision was most needed. Conclusion: Reporting of medication errors by a self-report of doctors and nurses is low in this cohort, which might result from occurrences not being reported. The wrong dose is the most common occurrence and the communication is the most related factor.

Treatment with Vasoactive Drugs and Outcomes in Surgical Critically Ill Patients: The Results from the THAI-SICU Study.

Objective: The purpose of this study is to assess the impact of the use of vasoactive drugs on morbidity and mortality in surgical critically ill patients. Material and Method: We conducted a multi-center prospective observational study in Thai university-based surgical intensive care units (SICU) over a 22-month period. Patient data were recorded by case record form in 3 main phases: admission, daily and discharge. Data collection included patient characteristics, pattern of vasoactive drugs use, and outcomes. Results: Nine university-based SICU comprising 4,652 patients were included in the study. The vasopressor exposed patient group had 1,155 patients (24.8%). Either vasopressor or inotrope exposed group demonstrated significantly higher ICU mortality, 28-day mortality and new arrhythmia than the non-exposed group (p<0.001). In multivariable analysis, norepinephrine or epinephrine significantly increased risks of all unfavorable outcomes while dopamine significantly increased only new arrhythmia (OR 1.44; 95% CI 1.02-2.02, p = 0.036) in vasopressor-exposed patients. Epinephrine had the highest risk of all unfavorable outcomes with an OR 3.17; 95% CI 2.10-4.78, (p<0.001) for ICU mortality, OR 2.62; 95% CI 1.73-3.97, (p<0.001) for 28-day mortality, and OR of 1.77; 95% CI 1.13-2.75, (p = 0.012) for new arrhythmia. Neither dobutamine nor milrinone showed any significant results in inotrope exposed patients. Conclusion: Vasoactive drug exposed patient groups had significantly higher incidence of new arrhythmia, ICU mortality, and 28-day mortality. Epinephrine exposure was associated with the highest risk of unfavorable outcomes. Further information from well-designed studies is needed to justify the most appropriate use of vasoactive drugs.

Incidence of and Risk Factors for Acute Respiratory Distress Syndrome in Patients Admitted to Surgical Intensive Care Units: The Multicenter Thai University- Based Surgical Intensive Care Unit (THAI-SICU) Study.

Objective: The incidence and outcomes of acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) are unclear. We evaluated the cumulative incidence of, risk factors for, and outcomes of ALI/ARDS in surgical ICUs (SICUs). Material and Method: The multicenter Thai University-based Surgical Intensive Care Unit (THAI-SICU) study was a prospective, observational cohort study including nine university-based SICUs throughout Thailand from April 2011 to January 2013. All >18-year-old surgical patients who were admitted to general SICUs were recruited. The primary outcome was the incidence of ALI/ARDS. Results: In total, 4,652 patients were analyzed. ALI/ARDS new developed in 114 patients (2.5%). Patients with ALI/ARDS had higher APACHE II (20.0 vs. 11.4, respectively; p<0.001) and SOFA scores (7.3 vs. 3.1, respectively; p<0.001) and a higher incidence of past or current smoking (48% vs. 36%, respectively; p<0.001) than the non-ARDS patients. The 28-day mortality rate was significantly higher in patients with than without ALI/ARDS (50% vs. 12%; p<0.001). Higher APACHE II and SOFA scores and higher rates of current or past smoking were independent predictors of ALI/ARDS. Conclusion: The incidence of ALI/ARDS in the THAI-SICU study was low, but the mortality rate was high. Higher severity scores and smoking were associated with ALI/ARDS.

Lactate Non-Clearance versus Lactate Clearance: A Comparison of Hospital Mortality in High-Risk Surgical Patients.

Objective: The optimal endpoints of resuscitation in high-risk surgical patients remain controversial. Specifically, it is difficult to establish the effective predictive markers as the endpoints of resuscitation in this patient group. Therefore, the study was conducted to assess the predictive value of early lactate non-clearance condition on hospital mortality in high-risk surgical patients. Material and Method: The study is a prospective analytic study. The data were collected in one university-based surgical intensive care unit (SICU) over a 5-month period. All consecutive adult high-risk surgical patients admitted to SICU in postoperative period were recruited to the study. Blood lactate levels were measured on SICU admission (0-hour), 12 hours later, and then calculated for 12-hour blood lactate clearance. The authors categorized the patients into two groups: lactate clearance (LC) and lactate non-clearance (LNC). After that, the patients were monitored until hospital discharge or inhospital death. Results: There were 122 high-risk surgical patients recruited to the study. As concerns the factors of interest, higher incidences of suspected or confirmed infection and mechanical ventilation were found among the LNC group. Regarding the main outcomes, hospital mortality was 5.3% among the LNC group and 3.9% among the LC group (p = 0.578), with no statistical significant differences in hospital mortality, hospital length of stay and SICU length of stay. The independent risk factors associated with LNC condition were considered. The factor of interest was suspected or confirmed infection by multiple logistic regression analysis after adjustment for age and sex revealed that the adjusted odds ratio was 2.70 with a 95% confidence interval of 0.85-8.55, p = 0.092. Conclusion: In high-risk surgical patients, 12-hour LNC cannot demonstrate the prognostic value for hospital morbidity and mortality. However, there is a trend for the suspected or confirmed infection group to associate with the LNC condition, but with no statistical significance.

The Impact of Delirium on Clinical Outcomes in Multi-Center Thai Surgical Intensive Care Units: A Prospective Cohort Study.

Objective: Delirium in intensive care units (ICU) increases risks in prolonged mechanical ventilation, hospitalization, and mortality rate. The purpose of this study is to determine if delirium in the surgical intensive care units (SICU) is an independent predictor of clinical outcomes during hospitalization. Material and Method: A multi-center, prospective cohort study was conducted between April 2011 and January 2013. All patients who were admitted to nine university-based SICU were enrolled. Delirium was diagnosed by using the Intensive Care Delirium Screening Checklists. The clinical outcomes of study included length of mechanical ventilation, length of hospital stay, ICU and 28 day mortality. Cox proportional hazard regression model was used to assess the effects of delirium on ICU and 28 day mortality. Results: A total of 4,652 patients were included. One hundred and sixty-three patients were diagnosed delirium (3.5%, 163 of 4,652). Patients who experienced delirium during ICU admission were significantly older (65.0+15.8 years versus 61.6+17.3 years, p = 0.013), had higher American Society of Anesthesiologists physical status (24.3% versus 12.2%, p<0.001), higher Acute Physiology and Chronic Health Evaluation II score (16 (12-23) versus 10 (7-15), p<0.001), and higher Sequential Organ Failure Assessment score (5 (2-8) versus 2 (1-5), p<0.001) compared to non-delirium. Delirious patients also had higher ventilator days (7 (4-17) versus 2 (1-4), p<0.001, longer length of hospital stay (22 (14-34) versus 15 (9-26), p<0.001) and higher ICU mortality (24% versus 9%, p<0.001), and 28-day mortality (28% versus 13%, p<0.001). Patients who developed delirium in the intensive care unit were associated with increased 28-day mortality (adjusted HR = 2.47, 95% CI: 1.13-5.41, p = 0.023). Conclusion: Delirium in an ICU was a major predictor of hospital mortality after adjusted for relevant covariates. Routine monitoring of delirium, early detection, and implementation of preventive strategy are recommended.

Incidence and risk factors of delirium in multi-center Thai surgical intensive care units: a prospective cohort study.

BACKGROUND: Delirium in intensive care units increases morbidity and mortality risk. The incidence and risk factors of delirium vary among studies. This study therefore aimed to determine the incidence and risk factors of delirium in Thai university-based surgical intensive care units. METHODS: A multi-center, prospective cohort study was conducted. All patients who had been admitted to surgical intensive care units (SICU) between April 2011 and January 2012 were enrolled. Delirium was diagnosed using the Intensive Care Delirium Screening Checklists (ICDSC). The univariable and multivariable risk regression analyses were analyzed and presented as risk ratio (RR) and 95 % confidence interval (CI). RESULTS: The overall incidence of delirium was 3.6 % (162 of 4450, 95 % CI 3.09-4.19 %) whilst the incidences of delirium for patients being admitted ≤48 and >48 h were 0.7 % (21 of 2967, 95 % CI 0.41-1.01 %) and 8.3 % (141 of 1685, 95 % CI 7.04-9.68 %), respectively. The incidence of delirium on each study site was significantly different (range between 0 and 13.9 %, P < 0.001). Delirious patients had a significantly higher age (65.3 ± 15.6 versus 61.8 ± 17.3 years, P = 0.013), higher Acute Physiology and Chronic Health Evaluation II score (APACHE II score) (16 (12-23) versus 10 (7-15), P < 0.001), and higher sequential organ failure assessment score (5 (2-8) versus 2 (1-5), P < 0.001). The median duration of delirium was 3 (1-5) days. Delirious patients had significantly longer duration of ICU stay (8 (5-19) versus 2 (1-4), P < 0.001) and higher ICU mortality rate (23.5 versus 8.1 %, P < 0.001). Sepsis (RR = 3.70, 95 % CI 2.33-5.90, P < 0.001), exposure to sedative medications (RR = 3.54, 95 % CI 2.13-5.87, P < 0.001), higher APACHE II score (RR = 2.79, 95 % CI 1.98-3.95, P < 0.001), thoracic surgery (RR = 1.74, 95 % CI 1.09-2.78, P = 0.021), and emergency surgery (RR = 1.70, 95 % CI 1.09-2.65, P = 0.019) were independent risk factors of delirium in SICU. CONCLUSIONS: Sepsis, exposure to sedative medications, higher APACHE II score, thoracic surgery, and emergency surgery were independent risk factors of delirium in Thai university-based surgical intensive care units.

Non-cardiopulmonary monitoring in Thai-ICU (ICU-RESOURCE I study).

OBJECTIVE: In addition to cardiopulmonary monitoring, non-cardiopulmonary monitoring (non-CPM) is considered to be an important parameter in intensive care units (ICUs). However no data on this subject has been reported for Thai ICUs. The objective of the present study is to describe the non-CPM situation in Thai ICUs. MATERIALS AND METHOD: ICU RESOURCE I survey database released during the year 2012 was used for the present study. Non-CPMo refers to neurological monitoring, renal function monitoring, metabolic monitoring, perfusion monitoring and identifying biomarkers. Academic hospital (ACAD), availability grading (AG), numeric frequency grading scale (FGS) and device availability per bed (DPB) were used for categorization of non-CPM collected data. Significant differences between the groups are defined as p < 0.05. RESULTS: Advanced monitoring, including; indirect calorimetry, near infrared spectroscopy, peripheral nerve stimulation, gut mucosal tonometry and sublingual side stream darkfield imaging are currently unavailable in participating Thai ICUs. All ICUs have devices to measure the levels of capillary glucose, creatinine kinase MB, troponin T and albumin. Bispectral index, ultrasound, continuous renal replacement therapy devices, continuous enteral feeding pumps, intra-abdominal pressure monitoring devices and rectal temperature measuring devices are available in ACAD facilities in greater instances than in other institutions. Similarly; for biomarker and drug level monitoring; procalcitonin, interleukin, brain natriuretic peptide, total creatinine kinase, neutrophilgelatinase-associated lipocalin (NGAL), lactate, central venous oxygen saturation/mixed venous oxygen saturation (ScvO2/SvO2), phenytoin, vancomycin and pre-albumin are used more frequently in ACADs. Gap analysis demonstrating warmer cabins, NGAL, lactate and ScvO2/SvO2 show less availability but are frequently used when they have been made available. Intra-abdominal pressure and core temperatures are used less in general ICU practices and are scarcely found. CONCLUSION: Some of the more advanced non-CPM devices are not found in Thai ICUs. Basic non-CPM devices are available in all ICUs. Some new devices for measurements and for biomarkers are used with greater prevalence in ACAD ICUs. Some measurements including IAP core temperature, lactate and ScvO2/SvO) are monitored less frequently in Thai ICUs (Thai Clinical Trial Registry: TCTR-201200005).

A multi-center Thai university-based surgical intensive care units study (THAI-SICU study): methodology and ICU characteristics.

OBJECTIVE: Although there were two large intra-operative observational studies on Thai surgical patients (THAI and THAI-AIMS), there has been no available study on critically ill surgical patients regarding their adverse events and outcomes. A THAI-Surgical Intensive Care Unit (SICU) study has been established for monitoring the occurrence of these adverse events and outcomes in the SICU. The objective of this report is to describe the methodology of the THAI-SICU study and participating SICUs' characteristics as well as the early recruitment results on patients enrolled in the present study. MATERIAL AND METHOD: The present study is designed as a multi-center, prospective, observational study. This report describes the method of case record form development and summarizes their collected parameters as well as the adverse event surveillance variables. All of nine SICU characteristics are described regarding their management systems, physicians' and nurses' work patterns. The final group of enrolled patients is reported. RESULTS: A total of nine university-based SICUs were included in the present study. All participating hospitals are residency training centers. Four of the SICUs, fulltime directors are anesthesiologists. Only one hospital's SICU is directed by a surgeon. Two SICUs were closed ICUs, three were mandatory consulting units, one was an elective consultation unit and the remaining three ICUs had no directors. Most of the participating SICUs had heterogeneity of surgical specialty patients. Six SICUs had regular resident rotations and only two of the SICUs had critical care fellowship training. There were significant differences regarding the nursing workload among the ICUs. The patient to registered nurse ratio ranged from 0.9-2.0. After a total of 19.7 months of a recruitment period, the total number of patient admissions was 6,548 (1,894 patients were excluded). A total cohort of 4,654 patients was included for further analytical processes. CONCLUSION: There were differences in ICU management systems, physician and specialist coverage, nurse burdens, nurse sparing, and types of patients admitted in the university based SICUs. This presentation is the pioneer multi-center study on Thai SICUs in which adverse events and outcomes are reported.

Cost effectiveness analysis of an initial ICU admission as compared to a delayed ICU admission in patients with severe sepsis or in septic shock.

OBJECTIVE: To assess the cost effectiveness of an initial ICU admissionforpatients with severe sepsis or those in septic shock following the initial resuscitation in the emergency department. MATERIAL AND METHOD: Mortality data was generated through retrospective data obtained from 1,048 adult patients with severe sepsis or in septic shock from one tertiary care and eight community hospitals in Phitsanulok during the period of October 2010 to September 2011. These patients were categorized into two groups; as either admitted from the emergency department directly to the ICU (stated as an immediate ICU admission) or admitted from the emergency department to the general hospital ward due to an unavailability of lCU beds (stated as a delayed ICU admission). The overall direct costs and characteristics were simulated from a second group of 994 adult patients, admitted a year later from selected data by the ICD-10 codes [International Classification of Diseases, 10th edition] with the same conditions of severe sepsis and septic shock (September 2011 through September 2012), as there was no collection of costs and characteristics during the first period (October 2010 through September 2011). A decision tree model and an incremental cost-effectiveness ratio (ICER) were used for the analyses of the cost-effectiveness. RESULTS: There were no significant differences in either the mean ages or lengths of stay between both groups. All-cause mortality rates have shown an incidence of 22.2% for the immediate ICU admission group and an incidence of 46.3% in the delayed ICUadmission group (odds ratio for the immediate ICU admission group was 0. 479 with a 95% confidence interval, 0.376-0.611). Total costs (mean, 95% CI) of the immediate ICUadmission group [37,194 baht (32,389-44,926)] were higher than had been seen in the delayed ICU admission group [26,275 (24,300-27,936)]. Incremental cost was 10,919 baht. ICER for the immediate ICU admission group was 45,307 baht per life saved. CONCLUSION: Immediate ICU admission for patients with severe sepsis or in septic shock following the initial resuscitation in the emergency department has shown a satisfactory cost-effectiveness profile in low-to-middle income countries.