Comparative structural and immunological analysis of outer membrane proteins and dermonecrotic toxin in Bordetella bronchiseptica canine isolate.

Bordetella bronchiseptica is a pathogen causing respiratory infections in mammals. With the improving understanding of companion animals' welfare, addressing the side effects of bordetella vaccine gains importance in dogs. Studies on diverse subunit vaccines are actively pursued in humans to safely and effectively control bordetellosis. Therefore, our objective was to develop a canine bordetella vaccine inspired by human vaccine development. We evaluated the immunogenicity of the two bacterial components: the outer membrane proteins (OMPs) and the dermonecrotic toxin (DNT) from a canine isolate of B. bronchiseptica. In-silico analysis identified eight domains of DNT, and Domain 3 was selected as the most promising antigen candidate. Additionally, the OMPs were extracted and examined using SDS-PAGE and Western blot analysis. The distinct immunological characteristic of OMPs and DNT-3 were examined individually and in combination. Gene expression and cytokine production were also evaluated in DH82 cells after stimulation with those antigens. Treatment with OMPs resulted in higher level of Th1 related cytokines, while DNT-3 induced a predominant response associated with Th17 and Th2 in the cytokine production. Synergistic effects were observed exclusively on IL-23, indicating increase of a potential risk of side effects when OMPs and DNT act together. These findings provide valuable insights into the reactogenicity of conventional Bordetella vaccines. Further, the presented preclinical data in this study offer an alternative method of the development for an optimal next-generation Bordetella vaccine for companion animals and humans, replacing the acellular vaccines containing both toxin and protein components.

Neuromuscular blocking agent re-exposure in a retrospective cohort with neuromuscular blocking agent-associated anaphylaxis.

BACKGROUND: Neuromuscular blocking agents (NMBAs) are one of the most common causes of perioperative anaphylaxis. Although skin test positivity may help identify reactive NMBAs, it is unclear whether skin test negativity can guarantee the safety of systemically administered NMBAs. OBJECTIVE: This study aimed to evaluate the real-world safety of alternative NMBAs screened using skin tests in patients with suspected NMBA-induced anaphylaxis. METHODS: A retrospective cohort of suspected NMBA-induced anaphylaxis were recruited among patients at Seoul National University Hospital from June 2009 to May 2021, and their characteristics and outcomes were assessed. RESULTS: A total of 47 cases (0.017%) of suspected anaphylaxis occurred in 282,707 patients who received NMBAs. Cardiovascular manifestations were observed in 95.7%, whereas cutaneous findings were observed in 59.6%. Whereas 83% had a history of undergoing general anesthesia, 17% had no history of NMBA use. In skin tests, the overall positivity to any NMBA was 94.6% (81.1% to culprit NMBAs) and the cross-reactivity was 75.7%, which is related to the chemical structural similarity among NMBAs; the cross-reactivity and chemical structure similarity of rocuronium were 85.3% and 0.814, respectively, with vecuronium; this is in contrast to 50% and 0.015 with cisatracurium and 12.5% and 0.208 with succinylcholine. There were 15 patients who underwent subsequent surgery with a skin test-negative NMBA; whereas 80.0% (12/15) safely completed surgery, 20.0% (3/15) experienced hypotension. CONCLUSION: Similarities in chemical structure may contribute to the cross-reactivity of NMBAs in skin tests. Despite the high negative predictability of skin tests for suspected NMBA-induced anaphylaxis, the potential risk of recurrent anaphylaxis has not been eliminated.

Adjuvant intravenous immunoglobulin administration on postoperative critically ill patients with secondary peritonitis: a retrospective study.

BACKGROUND: The use of intravenous immunoglobulin (IVIG) in sepsis patients from bowel perforation is still debatable. However, few studies have evaluated the effect of IVIG as an adjuvant therapy after source control. This study aimed to analyze the effect of IVIG in critically ill patients who underwent surgery due to secondary peritonitis. METHODS: In total, 646 medical records of surgical patients who were treated for secondary peritonitis were retrospectively analyzed. IVIG use, initial clinical data, and changes in Sequential Organ Failure Assessment (SOFA) score over the 7-day admission in the intensive care unit for sepsis check, base excess, and delta neutrophil index (DNI) were analyzed. Mortalities and periodic profiles were assessed. Propensity scoring matching as comparative analysis was performed in the IVIG group and non-IVIG group. RESULTS: General characteristics were not different between the two groups. The survival curve did not show a significantly reduced mortality in the IVIG. Moreover, the IVIG group did not have a lower risk ratio for mortality than the non-IVIG group. However, when the DNI were compared during the first 7 days, the reduction rate in the IVIG group was statistically faster than in the non-IVIG group (P<0.01). CONCLUSIONS: The use of IVIG was significantly associated with faster decrease in DNI which means faster reduction of inflammation. Since the immune system is rapidly activated, the additional use of IVIG after source control surgery in abdominal sepsis patients, especially those with immunocompromised patients can be considered. However, furthermore clinical studies are needed.

Comparison of mortality among hemorrhage-control methods performed for hemodynamically unstable patients with traumatic pelvic fractures: A multi-center study.

BACKGROUND: /Objective: We aimed to analyze the effects of hemorrhage control methods on the mortality of patients with hemodynamic instability due to pelvic fracture and investigate independent mortality risk factors in these patients. METHODS: Ninety-seven pelvic bone fracture patients with hemodynamic instability who visited the emergency departments of two university hospitals over 5 years were enrolled. These patients were categorized based on 28-day mortality (survival group) and acute hemorrhage mortality (non-survival group). Forty-seven patients (48.5%) underwent pelvic angiography; 45 (46.4%), pre-peritoneal pelvic packing; and 19 (19.6%), external fixation. RESULTS: Differences in hemorrhage control methods did not significantly affect mortality. However, there was a significant difference in mortality between the groups with and without hemorrhage control methods. Multivariate logistic regression analysis revealed that patient age, trauma and injury severity score (probability of survival), and blood transfusion amount within 24 h were independent risk factors for 28-day mortality. Meanwhile, patient age, Glasgow coma scale (GCS) score, systolic blood pressure (SBP), and blood transfusion amount within 24 h were independent risk factors for mortality due to acute hemorrhage. CONCLUSION: Rapid and appropriate application of hemorrhage control methods can reduce acute hemorrhage-related mortality in hemodynamically unstable patients with pelvic fractures. Moreover, none of the hemorrhage control methods were superior for the decreasing mortality rate in these patients.

Multi-MicroRNA Analysis Can Improve the Diagnostic Performance of Mammography in Determining Breast Cancer Risk.

The objective of this study was to determine whether multi-microRNA analysis using a combination of four microRNA biomarkers (miR-1246, 202, 21, and 219B) could improve the diagnostic performance of mammography in determining breast cancer risk by age group (under 50 vs. over 50) and distinguish breast cancer from benign breast diseases and other cancers (thyroid, colon, stomach, lung, liver, and cervix cancers). To verify breast cancer classification performance of the four miRNA biomarkers and whether the model providing breast cancer risk score could distinguish between benign breast disease and other cancers, the model was verified using nonlinear support vector machine (SVM) and generalized linear model (GLM) and age and four miRNA qRT-PCR analysis values (dCt) were input to these models. Breast cancer risk scores for each Breast Imaging-Reporting and Data System (BI-RADS) category in multi-microRNA analysis were analyzed to examine the correlation between breast cancer risk scores and mammography categories. We generated two models using two classification algorithms, SVM and GLM, with a combination of four miRNA biomarkers showing high performance and sensitivities of 84.5% and 82.1%, a specificity of 85%, and areas under the curve (AUCs) of 0.967 and 0.965, respectively, which showed consistent performance across all stages of breast cancer and patient ages. The results of this study showed that this multi-microRNA analysis using the four miRNA biomarkers was effective in classifying breast cancer in patients under the age of 50, which is challenging to accurately diagnose. In addition, breast cancer and benign breast diseases can be classified, showing the possibility of helping with diagnosis by mammography. Verification of the performance of the four miRNA biomarkers confirmed that multi-microRNA analysis could be used as a new breast cancer screening aid to improve the accuracy of mammography. However, many factors must be considered for clinical use. Further validation with an appropriate screening population in large clinical trials is required. This trial is registered with (KNUCH 2022-04-036).

Impact of Enforcement of the Act to Improve Training Conditions and the Status of Medical Residents in Emergency Abdominal Surgery.

PURPOSE: In 2018, the Act to Improve Training Conditions and the Status of Medical Residents (AITR) was fully implemented in South Korea. This study aimed to investigate the effects of AITR implementation on the clinical outcomes of patients who underwent emergency abdominal surgery. MATERIALS AND METHODS: A total of 2571 patients who underwent emergency abdominal surgery after visiting the emergency room (ER) between 2015 and 2019 was included. Electronic medical records were retrospectively reviewed. In addition, a comparative analysis was performed for patient groups treated before and after AITR implementation. RESULTS: The median patient age was 48.0 years, and 49.2% of them were male. Appendicitis was the most common diagnosis (82.6%), followed by major abdominal emergencies (9.9%) and cholecystitis (7.5%). The median time from arrival to surgery was 439 min, and 52 (2.0%) patients died. A comparison of patients who underwent surgery before (pre-AITR; 1453, 56.5%) and after (post-AITR; 1118, 43.5%) AITR implementation revealed a significant difference in age, number of residents on a 24-h shift, and diagnosis. The time from ER arrival to surgery was not significantly longer after AITR implementation than before AITR implementation (434 min vs. 443 min, p=0.230). AITR was not a significant risk factor for mortality (p=0.225). CONCLUSION: The time from ER arrival to emergency surgery did not increase significantly after AITR implementation, and there was no difference in the patients' clinical outcomes.

Determination of risk factors associated with surgical site infection in patients undergoing preperitoneal pelvic packing for unstable pelvic fracture.

BACKGROUND: Several recent studies have shown that preperitoneal pelvic packing (PPP) effectively produces hemostasis in patients with unstable pelvic fractures. However, few studies have examined the rate of surgical site infections (SSIs) in patients undergoing PPP following an unstable pelvic fracture. The purpose of the present study was to evaluate factors associated with SSI in such patients. METHODS: We retrospectively reviewed the medical charts of 188 patients who developed hemorrhagic shock due to pelvic fracture between April 2012 and May 2021. Forty-four patients were enrolled in this study. RESULTS: SSI occurred in 15 of 44 patients (34.1%). The SSIs occurred more frequently in cases of repacking during the second-look surgery (0 vs. 4 [26.7%], P=0.010) and combined bladder-urethra injury (1 [3.4%] vs. 4 [26.7%], P=0.039). The incidence of SSIs was not significantly different between patients undergoing depacking within or after 48 hours (12 [41.4%] vs. 5 [33.3%], P=0.603). The mean time to diagnosis of SSI was 8.1±3.9 days from PPP. The most isolated organism was Staphylococcus epidermidis. CONCLUSIONS: Repacking and combined bladder-urethra injury are potential risk factors for SSI in patients with unstable pelvic fracture. Close observation is recommended for up to 8 days in patients with these risk factors. Further, 48 hours after PPP, removing the packed gauze on cessation of bleeding and not performing repacking can help prevent SSI. Additional analyses are necessary with a larger number of patients with the potential risk factors identified in this study.

Multiple biomarkers are more accurate than a combination of carbohydrate antigen 125 and human epididymis protein 4 for ovarian cancer screening.

OBJECTIVE: The objective of this study was to compare and evaluate the diagnostic value of serum carbohydrate antigen 125 (CA125) and/or human epididymis protein 4 (HE4) and a panel of novel multiple biomarkers in patients with ovarian tumors to identify more accurate and effective markers for screening ovarian cancer. METHODS: Candidate ovarian cancer biomarkers were selected based on a literature search. Dozens of candidate biomarkers were examined using 143 serum samples from patients with ovarian cancer and 157 healthy serum samples as noncancer controls. To select the optimal marker panel for an ovarian cancer classification model, a set of biomarker panels was created with the number of possible combinations of eight biomarkers. Using the set of biomarkers as an input variable, the optimal biomarker panel was selected by examining the performance of the biomarker panel set using the Random Forest algorithm as a non-linear classification method and a 10-fold cross-validation technique. RESULTS: The final selected optimal combination of five biomarkers (CA125, HE4, cancer antigen 15-3, apolipoprotein [Apo] A1, and ApoA2) exhibited a sensitivity of 93.71% and specificity of 93.63% for ovarian cancer detection during validation. CONCLUSION: Combining multiple biomarkers is a valid strategy for ovarian cancer diagnosis and can be used as a minimally invasive screening method for early ovarian cancer. A panel of five optimal biomarkers, including CA125 and HE4, was verified in this study. These can potentially be used as clinical biomarkers for early detection of ovarian cancer.

SOCS1 counteracts ROS-mediated survival signals and promotes apoptosis by modulating cell cycle to increase radiosensitivity of colorectal cancer cells.

As negative regulators of cytokine signaling pathways, suppressors of cytokine signaling (SOCS) proteins have been reported to possess both pro-tumor and anti-tumor functions. Our recent studies have demonstrated suppressive effects of SOCS1 on epithelial to mesenchymal signaling in colorectal cancer cells in response to fractionated ionizing radiation or oxidative stress. The objective of the present study was to determine the radiosensitizing action of SOCS1 as an anti-tumor mechanism in colorectal cancer cell model. In HCT116 cells exposed to ionizing radiation, SOCS1 over-expression shifted cell cycle arrest from G2/M to G1 and promoted radiation-induced apoptosis in a p53-dependent manner with down-regulation of cyclin B and up-regulation of p21. On the other hand, SOCS1 knock-down resulted in a reduced apoptosis with a decrease in G1 arrest. The regulatory action of SOCS1 on the radiation response was mediated by inhibition of radiation-induced Jak3/STAT3 and Erk activities, thereby blocking G1 to S transition. Radiation-induced early ROS signal was responsible for the activation of Jak3/Erk/STAT3 that led to cell survival response. Our data collectively indicate that SOCS1 can promote radiosensitivity of colorectal cancer cells by counteracting ROS-mediated survival signal, thereby blocking cell cycle progression from G1 to S. The resulting increase in G1 arrest with p53 activation then contributes to the promotion of apoptotic response upon radiation. Thus, induction of SOCS1 expression may increase therapeutic efficacy of radiation in tumors with low SOCS1 levels. [BMB Reports 2022; 55(4): 198-203].

Comparison between external fixation and pelvic binder in patients with pelvic fracture and haemodynamic instability who underwent various haemostatic procedures.

Haemostatic procedures such as preperitoneal pelvic packing (PPP), pelvic angiography (PA), and internal iliac artery ligation are used for haemorrhage control in pelvic fracture patients with haemodynamic instability. Pelvic external fixation (PEF) and pelvic binder (PB) are usually applied with haemostatic procedures to reduce the pelvic volume. This study aimed to compare the clinical outcomes between patients who underwent PEF and PB. Among 173 patients with pelvic fracture admitted to the emergency room of three regional trauma centres between January 2015 and December 2018, the electronic charts of haemodynamically unstable patients were retrospectively analysed. Among the 84 patients included in the analysis, 20 underwent PEF with or without PB, and 64 underwent only PB. There were significant differences in tile classification and laparotomy between the PEF and PB groups (p = 0.023 and p = 0.032). PPP tended to be more frequently preformed in the PEF group (p = 0.054), whereas PA tended to be more commonly performed in the PB group than in the PEF group (p = 0.054). After propensity score matching to adjust for differences in patient characteristics and adjunct haemostatic procedure, there was no significant difference in 7-day, 30-day, and overall mortality rates between the PEF and PB groups (10.5% vs 21.1%, p = 0.660, 21.1% vs 26.3%, p = 1.000, and 26.3% vs 26.3%, p = 1.000). Cox proportional hazard regression analysis and multivariate analysis for correction of covariates (age, lactate, and abdominal injury) showed that PEF was not an independent factor for 30-day mortality compared with PB (adjusted hazard ratio, 0.526; 95% confidence interval, 0.092-3.002; p = 0.469). Among the volume reduction procedures performed with other haemostatic procedures in patients with pelvic fracture and haemodynamic instability, PEF did not significantly reduce the 30-day mortality rate compared to PB.

Current management and clinical outcomes for patients with haemorrhagic shock due to pelvic fracture in Korean regional trauma centres: A multi-institutional trial.

INTRODUCTION: The purpose of this study was to evaluate the current management and clinical outcomes in patients with hemodynamic instability due to pelvic fracture in three regional trauma centres in Korea. PATIENTS AND METHODS: Three regional trauma centres participated in this study, and 157 patients who were admitted between January 2015 and December 2018 were enroled. Clinical data were collected prospectively as part of the Korean trauma data bank and were analysed retrospectively. RESULTS: The mean age was 59.3 years, and 107 of 157 (68.2%) were male patients. The most common cause of injury was auto-pedestrian accidents, followed by falls and motor vehicle crashes. The mean admission systolic blood pressure and serum lactate level were 86.7 mmHg and 6.68 mmol/L, respectively. Twenty-four patients (15.3%) had a cardiac arrest in the emergency department (ED). The mean injury severity score was 39.1, and the mean probability of survival (Trauma and Injury Severity Score) was 48.7%. Sixty-six patients (42%) underwent pelvic angiography; 89 (56.7%), preperitoneal pelvic packing (PPP); 27 (17.2%), resuscitative endovascular balloon occlusion of the aorta (REBOA); 20 (12.7%), pelvic external fixation (PEF); and 13 patients (8.3%), internal iliac artery ligation (IIAL). Seventy-three patients (46.5%) died, including 40 (25.5%) who died from acute haemorrhage. With each year, the rates of REBOA and pelvic binder use continued to increase (p<0.001 and p = 0.005, respectively), but the number of PEF cases significantly decreased (p = 0.006). Age, initial lactate, low revised trauma score (RTS), combined abdominal injury, REBOA, and 4-hour requirement of packed red blood cells were independent risk factors associated with mortality, whereas during the period of 2017 and 2018, there were protective factors. The risk factors of mortality due to haemorrhage were cardiac arrest in the ED, RTS, combined chest and abdominal injuries, and IIAL. CONCLUSIONS: Since the establishment of regional trauma centres, the clinical outcomes of patients with hemodynamic instability due to pelvic fracture have significantly improved. As a haemostatic procedure for these patients, PEF has been used less frequently, while pelvic binder and REBOA showed significant increase in their use.

Usefulness of delta neutrophil index as a biomarker to predict postoperative complication in patients who underwent esophagectomy: A case-control study.

ABSTRACT: Esophagectomy demonstrates a high incidence of complications owing to its complexity and invasiveness; hence, early detection of complications is important. We aimed to evaluate the predictive value of the delta neutrophil index (DNI) for complications after esophagectomy.We retrospectively analyzed patients who underwent esophagectomy in the department of general surgery at a single institution between January 2011 and October 2020. Patient characteristics, laboratory findings, and clinical outcomes were assessed.Fifty-seven patients were enrolled in this study, of whom 31 (54.4%) had complications. The complication group had significantly longer mean mechanical ventilation, hospital stay and intensive care unit stay periods, and higher acute physiology, age, chronic health evaluation score and mortality rate than the noncomplication group. DNI on postoperative day (POD) 2 was also significantly higher in the complication group. Logistic regression analysis showed that DNI on POD 2 was an independent risk factor associated with the complications. Receiver operating characteristic curve analysis showed that the area under curve of DNI on POD 2 was 0.712 (cutoff value: 2.15%, sensitivity 61.5%, and specificity 70.8%).Our study indicated that postoperative DNI can be useful as an early predictive biomarker of the complications after esophagectomy.

Artificial intelligence to predict in-hospital mortality using novel anatomical injury score.

The aim of the study is to develop artificial intelligence (AI) algorithm based on a deep learning model to predict mortality using abbreviate injury score (AIS). The performance of the conventional anatomic injury severity score (ISS) system in predicting in-hospital mortality is still limited. AIS data of 42,933 patients registered in the Korean trauma data bank from four Korean regional trauma centers were enrolled. After excluding patients who were younger than 19 years old and those who died within six hours from arrival, we included 37,762 patients, of which 36,493 (96.6%) survived and 1269 (3.4%) deceased. To enhance the AI model performance, we reduced the AIS codes to 46 input values by organizing them according to the organ location (Region-46). The total AIS and six categories of the anatomic region in the ISS system (Region-6) were used to compare the input features. The AI models were compared with the conventional ISS and new ISS (NISS) systems. We evaluated the performance pertaining to the 12 combinations of the features and models. The highest accuracy (85.05%) corresponded to Region-46 with DNN, followed by that of Region-6 with DNN (83.62%), AIS with DNN (81.27%), ISS-16 (80.50%), NISS-16 (79.18%), NISS-25 (77.09%), and ISS-25 (70.82%). The highest AUROC (0.9084) corresponded to Region-46 with DNN, followed by that of Region-6 with DNN (0.9013), AIS with DNN (0.8819), ISS (0.8709), and NISS (0.8681). The proposed deep learning scheme with feature combination exhibited high accuracy metrics such as the balanced accuracy and AUROC than the conventional ISS and NISS systems. We expect that our trial would be a cornerstone of more complex combination model.

Explainable machine learning model to predict refeeding hypophosphatemia.

BACKGROUND & AIMS: Refeeding syndrome (RFS) is a disease that occurs when feeding is restarted and metabolism changes from catabolic to anabolic status. RFS can manifest variously, ranging from asymptomatic to fatal, therefore it may easily be overlooked. RFS prediction using explainable machine learning can improve diagnosis and treatment. Our study aimed to propose a machine learning model for RFS prediction, specifically refeeding hypophosphatemia, to evaluate its performance compared with conventional regression models, and to explain the machine learning classification through Shapley additive explanations (SHAP) values. METHODS: A retrospective study was conducted including 806 patients, with 2 or more days of nothing-by-mouth prescription, and with phosphate (P) level measurements within 5 days of refeeding were selected. We divided the patients into hypophosphatemia (n = 367) and non-hypophosphatemia groups (n = 439) at a P level of 0.8 mmol/L. Among the features examined within 48 h after admission, we reviewed laboratory test results and electronic medical records. Logistic, Lasso, and ridge regressions were used as conventional models, and performances were compared with our extreme gradient boosting (XGBoost) machine learning model using the area under the receiver operating characteristic curve. Our model was explained using the SHAP value. RESULTS: The areas under the curve were 0.950 (95% confidence interval: 0.924-0.975) for our XGBoost machine learning model and surpassed the performance of conventional regression models; 0.760 (0.707-0.813) for logistic regression, 0.751 (0.694-0.807) for Lasso regression, and 0.758 (0.701-0.809) for ridge regression. According to the SHAP values in the order of importance, low initial P, recent weight loss, high creatinine, diabetes mellitus with insulin use, low haemoglobin A1c, furosemide use, intensive care unit admission, blood urea nitrogen level of 19-65, parenteral nutrition, magnesium below or above the normal range, low potassium, and older age were features to predict refeeding hypophosphatemia. CONCLUSIONS: The machine learning model for predicting RFS has a substantially higher effectiveness than conventional regression methods. Creating an accurate risk assessment tool based on machine learning for early identification of patients at risk for RFS can enable careful nutrition management planning and monitoring in the intensive care unit, towards reducing the incidence of RFS-related morbidity and mortality.

Finding new indicators for operation and angiographic embolization in blunt renal injury patients: a single-center experience over 13 years.

PURPOSE: Traumatic kidney injury can be treated surgically or nonsurgically. Nonsurgical treatment options include angiography, embolization, and conservative treatment. We aimed to identify factors that help in making clinical decisions on treatment plans for patients with traumatic kidney injury caused by blunt trauma. METHODS: The study included 377 patients aged ≥18 years with traumatic kidney injury caused by blunt abdominal trauma admitted to the emergency room of Wonju Severance Christian Hospital between January 2008 and July 2020. Medical records, laboratory test results, and computed tomography results were retrospectively reviewed. RESULTS: Multivariable logistic analysis showed diastolic blood pressure at admission and disruption of Gerota's fascia were significantly associated with surgical treatment, and that perinephric hematoma rim distance was the only significant indicator favoring embolization. Receiver operating characteristic curve analysis showed that angiography and embolization should be considered when hematoma size exceeds 2.97 cm. CONCLUSION: When a patient with traumatic kidney injury due to blunt trauma visits an emergency room, even when vital signs are stable, Gerota's fascia should be checked by computed tomography prior to deciding on surgical treatment, and angiographic embolization should be considered if perinephric hematoma rim distance exceeds 2.97 cm.

Time-saving effects using helicopter transportation: comparison to a ground transportation time predicted using a social navigation software.

ABSTRACT: Previous comparison studies regarding 2 types of transportation, helicopter (HEMS) versus ground emergency medical services (GEMS), have shown underlying heterogeneity as these options have completely different routes and consequent times with reference to one patient. To compare the 2 types of transportation on a case-by-case basis, we analyzed the retrospectively reviewed HEMS and predicted GEMS data using an open-source navigation software.Patients transferred by military HEMS from 2016 to 2019 were retrospectively enrolled. The HEMS records on the time of notification, injury point and destination address, and time required were reviewed. The GEMS data on distance and the predicted time required were acquired using open-source social navigation systems. Comparison analyses between the two types of transportation were conducted. Furthermore, linear logistic regression analyses were performed on the distance and time of the two options.A total of 183 patients were enrolled. There was no statistical difference (P = .3021) in the distance between the 2 types of transportation, and the HEMS time was significantly shorter than that of GEMS (61.31 vs 116.92 minutes, P < .001). The simple linear curves for HEMS and GEMS were separately secured, and two graphs presented the statistical significance (P) as well as reasonable goodness-of-fit (R2). In general, the HEMS graph demonstrates a more gradual slope and narrow distribution compared to that of GEMS.Ideally, HEMS is identified as a better transportation modality because it has a shorter transportation time (56 minutes saved) and a low possibility of potential time delays (larger R2). With a strict patient selection, HEMS can rescue injured or emergent patients who are "out of the golden hour."

Determination of the radiologic findings for predicting failure of conservative management with observation for blunt renal injury patients: A single-centre experience over 13 years.

PURPOSE: Most blunt renal injuries (BRIs) are managed conservatively without complications. Because conservative management with observation (CMO) is widely conducted, failed CMO is frequent. Clarifying the role and indication of CMO is important to manage BRI patients. Therefore, this study was conducted to analyse factors related to failed CMO. METHODS: BRI patients (aged >13 years) who were admitted via the emergency department in Wonju Severance Christian Hospital were analysed retrospectively between January 2008 and July 2020. Patient characteristics, including clinical data, laboratory findings, transfusion requirements, injury grade, initial CT findings, length of hospital stay, intensive care unit stay, and mortality, were investigated for all enrolled patients. RESULTS: Kidney injury grade ≥ 4, perinephric haematoma rim distance (PHD), length of main laceration, intravascular contrast extravasation (ICE), Gerota's fascia discontinuity, multiple lacerations, dissociated renal fragment and complexity of laceration were statistically significantly different between the successful CMO and failed CMO groups in the comparative analysis. The multivariate analysis showed that perinephric haematoma rim distance [odds ratio (OR) 1.44 [95% confidence interval (CI) 1.09 - 1.90], p = 0.011] and ICE [OR 7.41 (95% CI 2.20 - 24.99), p = 0.001] were mutually independent risk factors associated with failed CMO. When the ROC curve of PHD and ICE was generated to predict the failure of CMO, the area under the curve (AUC) was 0.884 (95% CI, 0.826 - 0.942), p < 0.001), and the optimal cut-off value for PHD was 2.9 cm, and for ICE was presence of ICE on CT [sensitivity: 90.5% (95% CI, 0.70 - 0.99), specificity: 78.0% (95% CI, 0.73 - 0.83)]. CONCLUSION: PHD and ICE may be useful factors to predict failed CMO for BRI patients. PHD > 2.9 cm and the presence of ICE may indicate who will require invasive procedures. Close observation is wise for patients with these risk factors.

Diagnostic value of combining tumor and inflammatory biomarkers in detecting common cancers in Korea.

BACKGROUND: The ultimate goal of cancer screening is to diagnose invasive cancers early, while they are still curable. We aimed to validate the diagnostic value of blood-derived protein biomarkers that we developed for six common cancer in Korea. METHODS: We have discovered 12 protein biomarkers that are useful in differentiating cancer patients from healthy controls using two-dimensional gel electrophoresis (2-DE), surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS), and literature review. Cancer patients (stomach, colon, liver, lung, breast, and prostate) and control subjects were collected and tested data sets were used to generate predictive models that identify risk scores for each cancer. The validation study was done in serum samples of an independent patient cohort Receiver operating characteristic (ROC) analyses were conducted to evaluate the diagnostic performance of the biomarkercombinations. RESULTS: The AUCs of the model in the test set were 0.971, 0.960, 0.969, 0.942, 0.834, and 0.985 for stomach, colon, liver, lung, breast, and prostate cancer, respectively. CONCLUSIONS: Combining multiple tumor and systemic inflammatory biomarkers proved to be a valid strategy in the diagnosis of six common cancers in Korea. Further validation of appropriate screening populations through large-scale clinical trials are warranted.

Multiple microRNAs as biomarkers for early breast cancer diagnosis.

MicroRNA (miRNA or miR) is stably present in plasma. It has been reported that miRNA could be used for detecting cancer. Circulating miRNAs are being increasingly recognized as powerful biomarkers in a number of different pathologies, including in breast cancer. The aim of the current study was to establish and validate miRNA sets that are useful for the early diagnosis of breast cancer. Specifically, the current study intended to determine whether miRNA biomarkers were tumor-specific and to statistically verify whether circulating miRNA analysis could be used for breast cancer diagnosis. In the present study, a total of nine candidate miRNA biomarkers were selected by examining reference miRNAs associated with the generation and progression of breast cancer to identify novel miRNAs that could be used to detect early breast cancer. A total of 226 plasma samples from patients with breast cancer were used. In addition, 146 plasma healthy samples were used as non-cancer controls. These samples were divided into training and validation cohorts. The training cohort was used to identify a combination of miRNA that could detect breast cancer. The validation cohort was used to validate this combination of miRNA. Total RNAs were isolated from collected samples. A total of 9 miRNAs were quantified using reverse-transcription quantitative PCR. A total of nine candidate miRNA expression levels were compared between patients with breast cancer and healthy controls. It was indicated that combinations of two or more of the nine miRNAs could detect breast cancer with higher accuracy than the use of a single biomarker. As a representative example, combinations of four miRNAs (miR-1246+miR-206+miR-24+miR-373) of the nine miRNAs had a sensitivity of 98%, a specificity of 96% and an accuracy of 97% for breast cancer detection in the validation cohort. The results of the present study suggest that multiple miRNAs could be used as potential biomarkers for early diagnosis of breast cancer. These biomarkers are expected to overcome limitations of mammography when used as an auxiliary diagnosis of mammography.