Purpose: The occurrence of trauma-related delirium following postoperative abdominal surgery is associated with a poor prognosis. The purpose of this study was to identify predictive risk factors for trauma-related delirium. Methods: Trauma patient data from a regional trauma center were retrospectively collected from August 2015 to December 2016. The primary inclusion criteria were patients diagnosed with traumarelated delirium following abdominal trauma surgery. Head trauma patients and those under 18 years of age were excluded from this study. A multivariate logistic regression analysis was performed to identify the risk factors associated with trauma-related delirium. Results: Of the 255 trauma patients who met the inclusion criteria, 32 (12.5%) were diagnosed with delirium. The mean values for the age of the patients, Injury Severity Score, Glasgow Coma Scale score, and length of intensive care unit stay were 52.1 ± 17.8 years, 16.9, 14, and 7.1 days, respectively. Among the measured parameters, age [odds ratio (OR), 1.03; 95% confidence interval (CI), 1.01-1.06; p = 0.022)], sex (OR, 0.125; 0.03-0.55; p = 0.006), hemoglobin level (OR, 0.875; CI, 0.68-0.98; p = 0.03), length of stay in the intensive care unit (OR, 1.12; CI, 1.03-1.22; p = 0.01), and having an abdominal operation (OR, 2.92; CI, 1.10-7.23; p = 0.011) showed strong correlations with trauma-related delirium. Conclusion This study showed that abdominal surgery was strongly associated with delirium in patients with traumatic abdominal injury. Thus, changes in consciousness should be carefully monitored following surgery.

Missed lung cancers on chest radiograph (CXR) may delay the diagnosis and affect the prognosis. CXR is the primary imaging modality to evaluate the lungs and mediastinum in daily practice. The purpose of this article is to review chest radiographs for common blind spots and highlight the importance of various radiologic presentations in primary lung cancer to avoid significant diagnostic errors on CXR.

Purpose: The occurrence of trauma-related delirium following postoperative abdominal surgery is associated with a poor prognosis. The purpose of this study was to identify predictive risk factors for trauma-related delirium. Methods: Trauma patient data from a regional trauma center were retrospectively collected from August 2015 to December 2016. The primary inclusion criteria were patients diagnosed with traumarelated delirium following abdominal trauma surgery. Head trauma patients and those under 18 years of age were excluded from this study. A multivariate logistic regression analysis was performed to identify the risk factors associated with trauma-related delirium. Results: Of the 255 trauma patients who met the inclusion criteria, 32 (12.5%) were diagnosed with delirium. The mean values for the age of the patients, Injury Severity Score, Glasgow Coma Scale score, and length of intensive care unit stay were 52.1 ± 17.8 years, 16.9, 14, and 7.1 days, respectively. Among the measured parameters, age [odds ratio (OR), 1.03; 95% confidence interval (CI), 1.01-1.06; p = 0.022)], sex (OR, 0.125; 0.03-0.55; p = 0.006), hemoglobin level (OR, 0.875; CI, 0.68-0.98; p = 0.03), length of stay in the intensive care unit (OR, 1.12; CI, 1.03-1.22; p = 0.01), and having an abdominal operation (OR, 2.92; CI, 1.10-7.23; p = 0.011) showed strong correlations with trauma-related delirium. Conclusion This study showed that abdominal surgery was strongly associated with delirium in patients with traumatic abdominal injury. Thus, changes in consciousness should be carefully monitored following surgery.

Missed lung cancers on chest radiograph (CXR) may delay the diagnosis and affect the prognosis. CXR is the primary imaging modality to evaluate the lungs and mediastinum in daily practice. The purpose of this article is to review chest radiographs for common blind spots and highlight the importance of various radiologic presentations in primary lung cancer to avoid significant diagnostic errors on CXR.

OBJECTIVES: To develop a simple algorithm for prescreening of obstructive sleep apnea (OSA) on the basis of respiratorysounds recorded during polysomnography during all sleep stages between sleep onset and offset. METHODS: Patients who underwent attended, in-laboratory, full-night polysomnography were included. For all patients, audiorecordings were performed with an air-conduction microphone during polysomnography. Analyses included allsleep stages (i.e., N1, N2, N3, rapid eye movement, and waking). After noise reduction preprocessing, data were segmentedinto 5-s windows and sound features were extracted. Prediction models were established and validated with10-fold cross-validation by using simple logistic regression. Binary classifications were separately conducted for threedifferent threshold criteria at apnea hypopnea index (AHI) of 5, 15, or 30. Prediction model characteristics, includingaccuracy, sensitivity, specificity, positive predictive value (precision), negative predictive value, and area under thecurve (AUC) of the receiver operating characteristic were computed. RESULTS: A total of 116 subjects were included; their mean age, body mass index, and AHI were 50.4 years, 25.5 kg/m2, and23.0/hr, respectively. A total of 508 sound features were extracted from respiratory sounds recorded throughoutsleep. Accuracies of binary classifiers at AHIs of 5, 15, and 30 were 82.7%, 84.4%, and 85.3%, respectively. Predictionperformances for the classifiers at AHIs of 5, 15, and 30 were AUC, 0.83, 0.901, and 0.91; sensitivity, 87.5%,81.6%, and 60%; and specificity, 67.8%, 87.5%, and 94.1%. Respective precision values of the classifiers were89.5%, 87.5%, and 78.2% for AHIs of 5, 15, and 30. CONCLUSION: This study showed that our binary classifier predicted patients with AHI of ≥15 with sensitivity and specificityof >80% by using respiratory sounds during sleep. Since our prediction model included all sleep stage data, algorithmsbased on respiratory sounds may have a high value for prescreening OSA with mobile devices.
Apnea ; Area Under Curve ; Body Mass Index ; Classification ; Humans ; Logistic Models ; Machine Learning ; Noise ; Polysomnography ; Respiratory Sounds ; ROC Curve ; Sensitivity and Specificity ; Sleep Apnea, Obstructive ; Sleep Stages ; Sleep, REM

PURPOSE: This study aimed to investigate the incidence and risk factors of early postoperative small bowel obstruction (EPSBO) after laparotomy for trauma patients. METHODS: From 2009 to 2016, consecutive patients who had undergone laparotomy for trauma were retrospectively evaluated. EPSBO was defined as the presence of signs and symptoms of obstruction between postoperative days 7 and 30, or obstruction occurring anytime within 30 days and lasting more 7 days. RESULTS: Among 297 patients who met the inclusion criteria, 72 (24.2%) developed EPSBO. The length of hospital stay was significantly longer in patients with EPSBO than in those without EPSBO (median [interquartile range], 34 [21–48] days 24 [14–38] days, P < 0.001). Multivariate logistic analysis identified male sex (adjusted odds ratio [AOR], 3.026; P = 0.008), intraoperative crystalloid (AOR, 1.130; P = 0.031), and Abbreviated Injury Scale (AIS) score for mesenteric injury (AOR, 1.397; P < 0.001) as independent risk factors for EPSBO. The incidence of adhesive small bowel adhesion after 30 days postoperatively did not significantly differ between the 2 groups (with EPSBO, 5.6% without EPSBO, 5.3%; P = 0.571). Most of the patients with EPSBO were recovered by conservative treatment (95.8%). CONCLUSION: After laparotomy for trauma patients, the incidence of EPSBO was 24.2% in our study. EPSBO was associated with a longer hospital stay. Male sex, use of intraoperative crystalloid, and AIS score for mesenteric injury were significant independent risk factors for EPSBO. Patients with these risk factors should be followed-up more carefully.
Abbreviated Injury Scale ; Abdominal Injuries ; Adhesives ; Humans ; Ileus ; Incidence ; Laparotomy ; Length of Stay ; Male ; Odds Ratio ; Retrospective Studies ; Risk Factors

PURPOSE: Pancreatic trauma is infrequent because of its central, deep anatomical position. This contributes to a lack of surgeon experience and many debates exist about its standard care. This study aimed to investigate the postoperative pancreatic fistula (POPF) and mortality of pancreatic trauma after operation. METHODS: We reviewed records in the trauma registry of our institution submitted from January 2006 to December 2016. The grade of pancreatic injury, surgical management, morbidity, mortality, and other clinical variables included in the analyses. RESULTS: Data from a total of 26,072 trauma patients admitted to the Emergency Department were analyzed. Pancreatic trauma was observed in 114 of these patients (0.44%). Laparotomy was performed in 81 patients (2 pan creatico duodenectomies, 2 pancreaticogastrostomies, peripancreatic drainage in 41 patients, distal pancreatectomies in 34 patients, and 9 patients who underwent surgery for damage control). The incidence of POPF was 38.3%. The overall mortality was 8.8% (7 of 81). In multivariate analysis, pancreas injury grade IV (≥4) (adjusted odds ratio [AOR], 4.071; P = 0.029) and preoperative peritonitis signs (AOR, 2.903; P = 0.039) were independent risk factors for POPF. All patients who died had also another major abdominal injury (≥grade 3). Multiorgan failure was a major cause of death (6 of 7, 85.7%). The mortality rate of isolated pancreas injury was 0%. CONCLUSION: The pancreas injury grade and preoperative peritonitis were significant risk factors of POPF. The mortality rate of isolated pancreatic trauma was very low.
Abdominal Injuries ; Cause of Death ; Drainage ; Emergency Service, Hospital ; Humans ; Incidence ; Intraoperative Complications ; Laparotomy ; Mortality* ; Multivariate Analysis ; Odds Ratio ; Pancreas ; Pancreatectomy ; Pancreatic Fistula* ; Peritonitis ; Risk Factors ; Trauma Centers*

Mucosal-associated invariant T (MAIT) cells and natural killer T (NKT) cells are known to play important roles in autoimmunity, infectious diseases and cancers. However, little is known about the roles of these invariant T cells in multiple trauma. The purposes of this study were to examine MAIT and NKT cell levels in patients with multiple trauma and to investigate potential relationships between these cell levels and clinical parameters. The study cohort was composed of 14 patients with multiple trauma and 22 non-injured healthy controls (HCs). Circulating MAIT and NKT cell levels in the peripheral blood were measured by flow cytometry. The severity of injury was categorised according to the scoring systems, such as Acute Physiology and Chronic Health Evaluation (APACHE) II score, Simplified Acute Physiology Score (SAPS) II, and Injury Severity Score (ISS). Circulating MAIT and NKT cell numbers were significantly lower in multiple trauma patients than in HCs. Linear regression analysis showed that circulating MAIT cell numbers were significantly correlated with age, APACHE II, SAPS II, ISS category, hemoglobin, and platelet count. NKT cell numbers in the peripheral blood were found to be significantly correlated with APACHE II, SAPS II, and ISS category. This study shows numerical deficiencies of circulating MAIT cells and NKT cells in multiple trauma. In addition, these invariant T cell deficiencies were found to be associated with disease severity. These findings provide important information for predicting the prognosis of multiple trauma.
APACHE ; Autoimmunity ; Cell Count ; Cohort Studies ; Communicable Diseases ; Flow Cytometry ; Humans ; Injury Severity Score ; Linear Models ; Multiple Trauma* ; Natural Killer T-Cells* ; Physiology ; Platelet Count ; Prognosis ; T-Lymphocytes*

No abstract available.
Wounds and Injuries*

No abstract available.
Humans ; Psoas Muscles*