Prediction of Fluid Responsiveness by the Effect of the Lung Recruitment Maneuver on the Perfusion Index in Mechanically Ventilated Patients During Surgery.

Introduction: Excessive or inadequate fluid administration during perioperative period affects outcomes. Adjustment of volume expansion (VE) by performing fluid responsiveness (FR) test plays an important role in optimizing fluid infusion. Since changes in stroke volume (SV) during lung recruitment maneuver (LRM) can predict FR, and peripheral perfusion index (PI) is related to SV; therefore, we hypothesized that the changes in PI during LRM (ΔPILRM) could predict FR during perioperative period. Methods: Patients who were scheduled for elective non-laparoscopic surgery under general anesthesia with a mechanical ventilator and who required VE (250 mL of crystalloid solution infusion over 10 min) were included. Before VE, LRM was performed by a continuous positive airway pressure of 30 cm H2O for 30 sec; hemodynamic variables with their changes (PI, obtained by pulse oximetry; and ΔPILRM, calculated by using [(PI before LRM-PI after LRM)/PI before LRM]*100) were obtained before and after LRM. After SV (measured by esophageal doppler) and PI had returned to the baseline values, VE was infused, and the values of these variables were recorded again, before and after VE. Fluid responders (Fluid-Res) were defined by an increase in SV ≥10% after VE. Receiver operating characteristic curves of the baseline values and ΔPILRM were constructed and reported as areas under the curve (AUC) with 95% confidence intervals, to predict FR. Results: Of 32 mechanically ventilated adult patients included, 13 (41%) were in the Fluid-Res group. Before VE and LRM, there were no differences in the mean arterial pressure (MAP), heart rate, SV, and PI between patients in the Fluid-Res and fluid non-responders (Fluid-NonRes) groups. After LRM, SV, MAP, and, PI decreased in both groups, ΔPILRM was greater in the Fluid-Res group than in Fluid-NonRes group (55.2 ± 17.8% vs. 35.3 ± 17.3%, p < 0.001, respectively). After VE, only SV and cardiac index increased in the Fluid-Res group. ΔPILRM had the highest AUC [0.81 (0.66-0.97)] to predict FR with a cut-off value of 40% (sensitivity 92.3%, specificity 73.7%). Conclusions: ΔPILRM can be applied to predict FR in mechanical ventilated patients during the perioperative period.

Validation of a delirium predictive model in patients admitted to surgical intensive care units: a multicentre prospective observational cohort study.

OBJECTIVE: To internally and externally validate a delirium predictive model for adult patients admitted to intensive care units (ICUs) following surgery. DESIGN: A prospective, observational, multicentre study. SETTING: Three university-affiliated teaching hospitals in Thailand. PARTICIPANTS: Adults aged over 18 years were enrolled if they were admitted to a surgical ICU (SICU) and had the surgery within 7 days before SICU admission. MAIN OUTCOME MEASURES: Postoperative delirium was assessed using the Thai version of the Confusion Assessment Method for the ICU. The assessments commenced on the first day after the patient's operation and continued for 7 days, or until either discharge from the ICU or the death of the patient. Validation was performed of the previously developed delirium predictive model: age+(5×SOFA)+(15×benzodiazepine use)+(20×DM)+(20×mechanical ventilation)+(20×modified IQCODE>3.42). RESULTS: In all, 380 SICU patients were recruited. Internal validation on 150 patients with the mean age of 75±7.5 years resulted in an area under a receiver operating characteristic curve (AUROC) of 0.76 (0.683 to 0.837). External validation on 230 patients with the mean age of 57±17.3 years resulted in an AUROC of 0.85 (0.789 to 0.906). The AUROC of all validation cohorts was 0.83 (0.785 to 0.872). The optimum cut-off value to discriminate between a high and low probability of postoperative delirium in SICU patients was 115. This cut-off offered the highest value for Youden's index (0.50), the best AUROC, and the optimum values for sensitivity (78.9%) and specificity (70.9%). CONCLUSIONS: The model developed by the previous study was able to predict the occurrence of postoperative delirium in critically ill surgical patients admitted to SICUs. TRIAL REGISTRATION NUMBER: Thai Clinical Trail Registry (TCTR20180105001).

Fatal Air Embolism after Choroidal Melanoma Endoresection without Air Infusion: A Case Report.

BACKGROUND: The aim of this study was to report 2 cases of pulmonary air embolism developing several hours after choroidal melanoma endoresection without the use of air infusion during the surgery, with fatality in 1 patient. METHODS: The method of this study was case report. PARTICIPANTS: Two patients with large choroidal melanomas who collapsed several hours after endoresection without air infusion as a result of pulmonary air embolism. RESULTS: A 72-year-old man collapsed 4 h and 30 min after endoresection without air infusion. Computerized tomography angiography confirmed air embolism. The patient died after 86 min of cardiopulmonary resuscitation. A 41-year-old woman collapsed 5 h and 30 min after endoresection, performed without air infusion and with close monitoring, which included right internal jugular vein catheterization intraoperatively. Transthoracic and transesophageal echography, performed preoperatively, intraoperatively, and postoperatively, revealed air embolism only after collapse occurred. Imaging showed the embolism to be biventricular because of patent foramen ovale. The patient was treated promptly with extracorporeal membrane oxygenation and mechanical ventilation, which resulted in a full recovery. CONCLUSIONS: Air embolism can develop after endoresection for choroidal melanoma, despite avoiding air infusion. Further studies are needed to understand how this occurs. Special measures are indicated to detect this complication and to treat it promptly and effectively.

Effectiveness of securing central venous catheters with topical tissue adhesive in patients undergoing cardiac surgery: a randomized controlled pilot study.

BACKGROUND: Central venous catheters (CVCs) play an important role during cardiac surgery. Topical tissue adhesives form a thin film of coating that becomes bound to keratin in the epidermis. The advantage of this "super glue" lies in its antimicrobial activity. This study aimed to evaluate fixation of CVCs with topical tissue adhesive in patients (prone to bleed) undergoing cardiac surgery regarding its ability to reduce the incidence of pericatheter leakage. METHODS: This randomized controlled trial included 150 patients > 15 years of age who were (1) scheduled to undergo elective cardiac surgery, (2) required CVC insertion at the internal jugular vein, and (3) scheduled for transfer postoperatively to the cardiac intensive care unit. We randomly assigned patients to a topical tissue adhesive group (TA) or a standard control group (SC). The primary outcome was a change in dressing immediately postoperatively due to pericatheter blood oozing. Secondary outcomes were the number of dressings, total dressings per catheter day, and composite outcome of catheter failure within 3 days. Both intention-to-treat and per-protocol analyses were performed. Seven patients violated the protocol (three TA patients and four SC patients). RESULTS: Regarding the primary outcome, the SC group exhibited a significantly increased incidence of dressing change immediately postoperatively due to pericatheter leakage compared with the TA group in both the intention-to-treat analysis (5.33% vs 18.67%, RR 0.25 [95% CI 0.08 to 0.79], P = 0.012) and the per-protocol analysis (5.56% vs 16.90%, RR 0.289 [95% CI 0.09 to 0.95], P = 0.031). No significant differences were noted in the number of dressings, total dressings per catheter day, or composite outcome of catheter failure within 3 days between the two groups. Multiple logistic regression analysis was performed to adjust baseline characteristics that were different in the per-protocol analysis. The results showed that the risk ratio of immediate postoperative dressing change in TA patients was 0.25 compared to the SC group ([95% CI 0.07 to 0.87], P = 0.029) in the per-protocol analysis. CONCLUSION: The use of a topical tissue adhesive can reduce the incidence of immediate postoperative pericatheter blood oozing. TRIAL REGISTRATION: TCTR20180608004 , retrospectively registered on June 06, 2018.

Acute kidney injury risk prediction score for critically-ill surgical patients.

BACKGROUND: There has been a global increase in the incidence of acute kidney injury (AKI), including among critically-ill surgical patients. AKI prediction score provides an opportunity for early detection of patients who are at risk of AKI; however, most of the AKI prediction scores were derived from cardiothoracic surgery. Therefore, we aimed to develop an AKI prediction score for major non-cardiothoracic surgery patients who were admitted to the intensive care unit (ICU). METHODS: The data of critically-ill patients from non-cardiothoracic operations in the Thai Surgical Intensive Care Unit (THAI-SICU) study were used to develop an AKI prediction score. Independent prognostic factors from regression analysis were included as predictors in the model. The outcome of interest was AKI within 7 days after the ICU admission. The AKI diagnosis was made according to the Kidney Disease Improving Global Outcomes (KDIGO)-2012 serum creatinine criteria. Diagnostic function of the model was determined by area under the Receiver Operating Curve (AuROC). Risk scores were categorized into four risk probability levels: low (0-2.5), moderate (3.0-8.5), high (9.0-11.5), and very high (12.0-16.5) risk. Risk of AKI was presented as likelihood ratios of positive (LH+). RESULTS: A total of 3474 critically-ill surgical patients were included in the model; 333 (9.6%) developed AKI. Using multivariable logistic regression analysis, older age, high Sequential Organ Failure Assessment (SOFA) non-renal score, emergency surgery, large volume of perioperative blood loss, less urine output, and sepsis were identified as independent predictors for AKI. Then AKI prediction score was created from these predictors. The summation of the score was 16.5 and had a discriminative ability for predicting AKI at AuROC = 0.839 (95% CI 0.825-0.852). LH+ for AKI were: low risk = 0.117 (0.063-0.200); moderate risk = 0.927 (0.745-1.148); high risk = 5.190 (3.881-6.910); and very high risk = 9.892 (6.230-15.695), respectively. CONCLUSIONS: The function of AKI prediction score to predict AKI among critically ill patients who underwent non-cardiothoracic surgery was good. It can aid in early recognition of critically-ill surgical patients who are at risk from ICU admission. The scores could guide decision making for aggressive strategies to prevent AKI during the perioperative period or at ICU admission. TRIAL REGISTRATION: TCTR20190408004, registered on April 4, 2019.

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.

Hazards and Intensive Care Unit Economic Burden of Cigarette Smoking on Critically Ill Surgical Patients: Analysis of the THAI-SICU Study.

Objective: Cigarette smoking is not only has detrimental effects on the respiratory system but also contributes to development of atherosclerosis and inflammatory vascular reactions. We hypothesized whether smoking is associated with increased risk of acute respiratory distress syndrome (ARDS), systemic inflammatory response syndrome (SIRS), sepsis, distant organ dysfunctions, and the increase of total cost of surgical intensive care unit (SICU) in critically ill surgical patients. Material and Method: We performed analysis using the THAI-SICU data, a prospective, observational, multicenter study in patients who admitted to SICU in nine university-based hospitals in Thailand. The patients were categorized into 3 groups based on their smoking histories, which were 1) never smoked, 2) former smoker, and 3) current smoker. The primary outcome was probability of ARDS and the secondary outcomes included incidences of SIRS, sepsis, distant organ dysfunction (included acute kidney injury (AKI) and acute myocardial infarction (AMI)), total SICU cost, and 28-day mortality Results: A total of 4,652 patients had complete data of smoking and were analyzed. The smoking status was never smoked (2,947 patients), former smokers (1,148 patients), and current smokers (557 patients). Compared to current smokers and former smokers, patients who had never smoked had significantly lower proportion of patients with chronic obstructive pulmonary disease (p<0.01) and had significantly higher PaO2/FiO2 ratio on SICU admission (p = 0.02). Compared to patients who had never smoked and former smokers, current smokers had significantly higher probability of ARDS (p = 0.003), higher incidence of SIRS (p = 0.006), and AKI (p<0.001), after adjustment for age, gender, APACHE II score, and patients' pre-existing diseases. We found that every 1-pack year of cigarette smoking increased risk of ARDS with a hazard ratio of 1.02 (95% CI 1.01-1.03, p = 0.001). There was no difference in incidence of sepsis, AMI, and 28-day mortality among three groups of patients. Current smokers had significantly higher SICU cost, followed by former smokers, and patients who had never smoked (p = 0.02). Conclusion: In critically ill surgical patients, we found dose-response association between smoking pack year and risk of ARDS. Compared to patients who had never smoked and former smokers, current smokers had significantly higher probability of ARDS, higher incidence of SIRS, AKI, and higher total SICU cost. Our findings demonstrated harm of cigarette smoking in critically ill surgical patients who admitted to SICU.

Acute Kidney Injury in Elderly Patients in Thai-Surgical Intensive Care Units (THAI-SICU) Study.

Objective: To demonstrate prevalence, characteristics and outcomes of the elderly patients who were diagnosed with acute kidney injury (AKI) in surgical intensive care units (ICUs). Material and Method: AKI data were extracted from multicenter prospective cohort study conducted in 9 university-affiliated surgical ICUs in Thailand (THAI-SICU study) from April 2011 to January 2013. The elderly group was defined as those over 65 years old. Statistical analysis was done comparing baseline characteristics and outcomes between the elderly with AKI and those without. Results: A total of 2,310 elderly patients (49.7%) were identified in our surgical ICUs from a total 4,652 cases. Of this elderly group, AKI was diagnosed in 445 cases (19.3%). The differences in the baseline characteristics of the elderly with AKI group were: older, higher number of males, greater number of smokers, and greater disease severity evaluated with APACHE-II and SOFA score than the elderly without AKI. The ICU mortality and 28-day hospital mortality were higher in the elderly with AKI than those without (28.1% vs. 5.2%, p<0.001 with RR = 5.401, 95% CI 4.231-6.895 and 35.7% vs. 9.4%, p<0.001 with RR = 3.786, 95% CI 3.138-4.569, respectively). Using multivariable logistic regression analysis and after adjustment of covariates, independent potential risk factors of developing AKI in the SICU included: older age, higher APACHE-II and SOFA score, smoking history, emergency surgery, concurrent sepsis, cardiac complications, delirium, and requiring respiratory support during ICU stay. Conclusion: Geriatric patients made up almost half of our surgical ICU population and nearly one-fifth of them suffered AKI. Once they had AKI, ICU mortality and 28-day hospital mortality were higher than those without AKI.