Validation of continuous intraabdominal pressure measurement: feasibility and accuracy assessment using a capsular device in in-vivo studies.

BACKGROUND: Monitoring Intraabdominal Pressure (IAP) is essential in critical care, as elevated IAP can lead to severe complications, including Abdominal Compartment Syndrome (ACS). Advances in technology, such as digital capsules, have opened new avenues for measuring IAP non-invasively. This study assesses the feasibility and effectiveness of using a capsular device for IAP measurement in an animal model. METHOD: In our controlled experiment, we anesthetized pigs and simulated elevated IAP conditions by infusing CO2 into the peritoneal cavity. We compared IAP measurements obtained from three different methods: an intravesical catheter (IAPivp), a capsular device (IAPdot), and a direct peritoneal catheter (IAPdir). The data from these methods were analyzed to evaluate agreement and accuracy. RESULTS: The capsular sensor (IAPdot) provided continuous and accurate detection of IAP over 144 h, with a total of 53,065,487 measurement triplets recorded. The correlation coefficient (R²) between IAPdot and IAPdir was excellent at 0.9241, demonstrating high agreement. Similarly, IAPivp and IAPdir showed strong correlation with an R² of 0.9168. CONCLUSION: The use of capsular sensors for continuous and accurate assessment of IAP marks a significant advancement in the field of critical care monitoring. The high correlation between measurements from different locations and methods underscores the potential of capsular devices to transform clinical practices by providing reliable, non-invasive IAP monitoring.

Evaluating the clinical impact of resuscitative endovascular balloon occlusion of the aorta in patients with blunt trauma with hemorrhagic shock and coexisting traumatic brain injuries: a retrospective cohort study.

BACKGROUND: The impact of resuscitative endovascular balloon occlusion of the aorta (REBOA) on traumatic brain injuries remains uncertain, with potential outcomes ranging from neuroprotection to exacerbation of the injury. The study aimed to evaluate consciousness recovery in patients with blunt trauma with shock and traumatic brain injuries. MATERIAL AND METHODS: Data were obtained from the American College of Surgeons Trauma Quality Improvement Program from 2017-2019. During the study period, 3,138,896 trauma registries were examined, and 16,016 adult patients with blunt trauma, shock, and traumatic brain injuries were included. Among these, 172 (1.1%) underwent REBOA. Comparisons were conducted between patients with and without REBOA after implementing 1:3 propensity score matching to mitigate disparities. The primary outcome was the highest Glasgow Coma Scale score during admission. The secondary outcomes encompassed the volume of blood transfusion, the necessity for hemostatic interventions and therapeutic neurosurgery, and mortality rate. RESULTS: Through well-balanced propensity score matching, a notable difference in mortality rate was observed, with 59.7% in the REBOA group and 48.7% in the non-REBOA group (P=0.015). In the REBOA group, the median 4-hour red blood cell transfusion was significantly higher (2800 mL [1500, 4908] vs. 1300 mL [600, 2500], P<0.001). The REBOA group required lesser hemorrhagic control surgeries (31.8% vs. 47.7%, P<0.001) but needed more transarterial embolization interventions (22.2% vs 15.9%, P=0.076). The incidence of therapeutic neurosurgery was 5.1% in the REBOA group and 8.7% in the non-REBOA group (P=0.168). Among survivors in the REBOA group, the median highest Glasgow Coma Scale score during admission was significantly greater for both total (11 [8, 14] vs. 9 [6, 12], P=0.036) and motor components (6 [4, 6] vs. 5 [3, 6], P=0.037). The highest GCS score among the survivors with predominant pelvic injuries was not different between the two groups (11 [8, 13] vs. 11 [7, 14], P=0.750). CONCLUSIONS: Patients experiencing shock and traumatic brain injury have high mortality rates, necessitating swift resuscitation and prompt hemorrhagic control. The use of REBOA as an adjunct for bridging definitive hemorrhagic control may correlate with enhanced consciousness recovery.

Evaluation of the cushion effect in blunt abdominal trauma patients: A computerized analysis.

BACKGROUND: Obesity may serve as a protective factor in blunt abdominal trauma (BAT) patients due to a "cushion effect". In this study, we aim to use computed tomography (CT) scans to measure abdominal adiposity and its correlation with injury severity in BAT patients. METHODS: We conducted a retrospective analysis of male BAT patients who had undergone CT scans. Subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) were manually measured and height-normalized for analysis at lumbar levels L2 and L3. Statistical methods were used to compare differences in adiposity between patients with and without severe abdominal injuries. For controls, we also compared adipose tissue in patients with and without severe trauma to the chest, where less fat typically accumulates. RESULTS: We included 361 male participants and conducted a comparative analysis of their demographic and injury characteristics. Patients without severe abdominal injuries had significantly higher SAT and VAT indices at both L2 and L3 (p < 0.05). However, these measures showed no significant differences between patients with and without severe chest trauma. Solid organ injuries, particularly liver injuries, were associated with decreased SAT and VAT. CONCLUSION: Increase abdominal adiposity was linked to lower abdominal injury severity and solid organ injuries, particularly liver injuries. In addition to conventional BMI for evaluating obesity, either subcutaneous or visceral adipose tissue over lumbar levels L2 and L3 can be used to assess the "cushion effect."

Development and evaluation of a deep learning-based model for simultaneous detection and localization of rib and clavicle fractures in trauma patients' chest radiographs.

Purpose: To develop a rib and clavicle fracture detection model for chest radiographs in trauma patients using a deep learning (DL) algorithm. Materials and methods: We retrospectively collected 56 145 chest X-rays (CXRs) from trauma patients in a trauma center between August 2008 and December 2016. A rib/clavicle fracture detection DL algorithm was trained using this data set with 991 (1.8%) images labeled by experts with fracture site locations. The algorithm was tested on independently collected 300 CXRs in 2017. An external test set was also collected from hospitalized trauma patients in a regional hospital for evaluation. The receiver operating characteristic curve with area under the curve (AUC), accuracy, sensitivity, specificity, precision, and negative predictive value of the model on each test set was evaluated. The prediction probability on the images was visualized as heatmaps. Results: The trained DL model achieved an AUC of 0.912 (95% CI 87.8 to 94.7) on the independent test set. The accuracy, sensitivity, and specificity on the given cut-off value are 83.7, 86.8, and 80.4, respectively. On the external test set, the model had a sensitivity of 88.0 and an accuracy of 72.5. While the model exhibited a slight decrease in accuracy on the external test set, it maintained its sensitivity in detecting fractures. Conclusion: The algorithm detects rib and clavicle fractures concomitantly in the CXR of trauma patients with high accuracy in locating lesions through heatmap visualization.

Applications of Deep Learning in Trauma Radiology: A Narrative Review.

Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying injuries requiring intervention. Deep learning (DL) has become mainstream in medical image analysis and has shown promising efficacy for classification, segmentation, and lesion detection. This narrative review provides the fundamental concepts for developing DL algorithms in trauma imaging and presents an overview of current progress in each modality. DL has been applied to detect free fluid on Focused Assessment with Sonography for Trauma (FAST), traumatic findings on chest and pelvic X-rays, and computed tomography (CT) scans, identify intracranial hemorrhage on head CT, detect vertebral fractures, and identify injuries to organs like the spleen, liver, and lungs on abdominal and chest CT. Future directions involve expanding dataset size and diversity through federated learning, enhancing model explainability and transparency to build clinician trust, and integrating multimodal data to provide more meaningful insights into traumatic injuries. Though some commercial artificial intelligence products are Food and Drug Administration-approved for clinical use in the trauma field, adoption remains limited, highlighting the need for multi-disciplinary teams to engineer practical, real-world solutions. Overall, DL shows immense potential to improve the efficiency and accuracy of trauma imaging, but thoughtful development and validation are critical to ensure these technologies positively impact patient care.

Timing of male urethral injury treatment in patients with polytrauma: A retrospective study.

INTRODUCTION: Male urethral injuries are uncommon, and the ideal timing of the definitive treatment remains controversial. This study aimed to compare the outcomes of early and delayed interventions (1 month or more after the injury) for male urethral injuries. PATIENT AND METHODS: We conducted a retrospective review of the medical records of 67 male patients with urethral injuries treated at our institution between 2011 and 2020. We examined patient age, injury severity score (ISS), abbreviated injury scale, mechanism, location and severity of injury, presence of pelvic fractures, surgical interventions, timing of treatment, and complications. We analysed factors associated with urinary complications based on the location of urethral injury. Additionally, we performed a subset analysis of patients with severe injuries (ISS≥16) to assess the impact of delayed surgery. RESULTS: Overall, 47 %, 37 %, and 27 % of patients in the delayed treatment group (N = 30) had urethral stricture (US), erectile dysfunction (ED), and/or urinary incontinence (UI). These rates were greater than the 22 % US, 3 % ED, and 11 % UI rates in the early treatment group (N = 37). The subgroup analysis revealed that patients with anterior urethral injury (AUI) who underwent delayed treatment (N = 18) tended to be more severely injured (ISS, 19 vs 9, p = 0.003) and exhibited higher rates of US (44% vs 21 %, p = 0.193) and ED (39% vs 0 %, p = 0.002) than those who received early treatment (N = 24). In the case of posterior urethral injury (PUI), the delayed treatment group (N = 13) had higher rates of US (50% vs 23 %, p = 0.326), ED (33% vs 8 %, p = 0.272), and UI (42% vs 0 %, p = 0.030) than the early treatment group. Regarding study limitations, more than 45 % of the enrolled patients were severely injured (ISS≥16), which may have potentially influenced the timing of urethral injury repair. CONCLUSIONS: The treatment of male urethral injuries may be delayed due to concurrent polytrauma and other associated injuries. However, delayed treatment is associated with higher rates of urinary complications. Early treatment of urethral injuries may be beneficial to male patients with urethral trauma, even in cases of severe injury.

Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical practice. There is limited literature available on the use of DLMs specifically for trauma image evaluation. In this study, we developed a DLM aimed at detecting solid organ injuries to assist medical professionals in rapidly identifying life-threatening injuries. The study enrolled patients from a single trauma center who received abdominal CT scans between 2008 and 2017. Patients with spleen, liver, or kidney injury were categorized as the solid organ injury group, while others were considered negative cases. Only images acquired from the trauma center were enrolled. A subset of images acquired in the last year was designated as the test set, and the remaining images were utilized to train and validate the detection models. The performance of each model was assessed using metrics such as the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value, and negative predictive value based on the best Youden index operating point. The study developed the models using 1302 (87%) scans for training and tested them on 194 (13%) scans. The spleen injury model demonstrated an accuracy of 0.938 and a specificity of 0.952. The accuracy and specificity of the liver injury model were reported as 0.820 and 0.847, respectively. The kidney injury model showed an accuracy of 0.959 and a specificity of 0.989. We developed a DLM that can automate the detection of solid organ injuries by abdominal CT scans with acceptable diagnostic accuracy. It cannot replace the role of clinicians, but we can expect it to be a potential tool to accelerate the process of therapeutic decisions for trauma care.

Rapid and Direct Detection of Trimethylamine N-oxide Using an Off-Chip Capacitance Biosensor with Readout SoC for Early-Stage Thrombosis and Cardiovascular Disease.

A demonstration of an off-chip capacitance array sensor with a limit of detection of 1 µM trimethylamine N-oxide (TMAO) to diagnose a chronic metabolism disease in urine is presented. The improved Cole-Cole model is employed to determine the parameters of R_catalyzed, C_catalyzed, and Rp_catalyzed, enabling the prediction of the catalytic resistance of enzyme, reduction effects of the analyte, and characterize the small signal alternating current properties of ionic strength caused by catalysis. Based on the standard solutions, we investigate the effects of pixel geometry parameters, driving electrode width, and sensing electrode width on the electrical field change of the off-chip capacitance sensor; the proposed off-chip sensor with readout system-on-chip exhibits a high sensitivity of 21 analog-to-digital converter counts/µM TMAO (or 2.5 mV/µM TMAO), response time of 1 s, repetition of 98.9%, and drift over time of 0.5 mV. The proposed off-chip sensor effectively discriminates TMAO in a phosphate-buffered saline solution based on minute changes in capacitance induced by the TorA enzyme, resulting in a discernible 2.15% distinction. These measurements have been successfully corroborated using the conventional cyclic voltammetry method, demonstrating a mere 0.024% variance. The off-chip sensor is crafted with a specific focus on detecting TMAO, achieved by excluding any reduction reactions between the TMAO-specific enzyme TorA and the compounds creatine and creatinine present in urine. This deliberate omission ensures that the sensor's attention remains solely on TMAO, thereby enhancing its precision in achieving accurate and reliable TMAO detection.

Does a collecting system injury with grade iv renal blunt trauma always need urinary intervention?

PURPOSE: This study aimed to identify the characteristics associated with the need for urinary intervention for a blunt renal injury with collection system involvement using a computed tomography (CT) protocol for trauma. MATERIALS AND METHODS: Abdominal CT images of patients with blunt renal injuries from 2016 to 2020 were reviewed. Patients with low-grade renal trauma, non-collecting system involvement, American Association for the Surgery of Trauma grade V shattered kidney, and emergent nephrectomy were excluded. The largest perinephric mass thickness was measured in the axial view using CT, and a cutoff value was obtained using a receiver-operating characteristic curve analysis. Risk factors for further urinary intervention were analyzed. RESULTS: Among the 70 patients included in this study, those with perinephric mass thicknesses < 25 mm (n = 36) had a significantly lower rate of urinary intervention than those with perinephric mass thicknesses ≥ 25 mm (0 vs. 5; p = 0.023). There was no significant difference in the follow-up durations of the groups (19 days vs. 38 days; p = 0.198). More than 90% of the perinephric mass in the < 25 mm group resolved within a median follow-up duration of 38 days, whereas nearly half of the ≥ 25 mm group had a residual perinephric mass during a median follow-up duration of 19 days. CONCLUSION: The initial CT protocol for trauma was useful for predicting the need for further urinary interventions for collecting system injuries. A perinephric mass thickness < 25 mm is predictive of a low likelihood of requiring urinary intervention.

Evaluation of Concomitant Facial Fracture in Traumatic Brain Injury Patients-Simplification and External Validation of a Prediction Model.

BACKGROUND: Patients with traumatic brain injuries (TBIs) often experience concurrent facial bone fractures. In 2021, a prediction model with 10 variables was published and precisely predicted concomitant facial fractures in TBI patients. Herein, external validation and simplification of this model was performed. METHODS: Traumatic brain injury patients treated at a major referral trauma center were retrospectively reviewed for 1 year. The original prediction model (published in 2021), which was developed from a rural level II trauma center, was applied for external validation. A new and simplified model from our level I trauma center was developed and backwardly validated by rural level II trauma center data. RESULTS: In total, 313 TBI patients were enrolled; 101 (32.3%) had concomitant facial fractures. When the previous prediction model was applied to the validation cohort, it achieved acceptable discrimination, with an area under the receiver operating characteristic curve (AUC) of 0.713 and good precision, with a Brier score of 0.083. A new and simplified model with 6 variables (age, tooth rupture, epistaxis, facial lesion, eye injury, and intracranial hemorrhage) was created with excellent discrimination (AUC = 0.836) and good precision (Brier score of 0.055). The backward validation of this new model also showed excellent discrimination in the cohort used to develop the original model (AUC = 0.875). CONCLUSION: The original model provides an acceptable and reproducible prediction of concomitant facial fractures among TBI patients. A simplified model with fewer variables and the same accuracy could be applied in the emergency department and at higher- and lower-level trauma centers.

The effect of transarterial embolization and nephrectomy on acute kidney injury in patients with blunt renal trauma: An American College of Surgeons - Trauma Quality Improvement Program analysis.

INTRODUCTION: Transarterial embolization (TAE) or nephrectomy for patients with blunt renal trauma might result in acute kidney injury (AKI). Thus, we analyzed the American College of Surgeons - Trauma Quality Improvement Program (TQIP) to validate this. We hypothesized that nephrectomy, and not TAE, would be a risk factor for AKI in patients with blunt renal trauma. MATERIAL AND METHODS: Adult patients with blunt injuries from the TQIP between 2017 and 2019 were eligible for inclusion. The patients were divided into three treatment groups: conservative treatment, TAE, and nephrectomy. Multivariable logistic regression was used to clarify the AKI predictors. RESULTS: The study included 12,843 patients, wherein 12,373 (96.3 %), 229 (1.8 %), and 241 (1.9 %) patients were in the conservative, TAE, and nephrectomy groups, respectively. A total of 269 (2.2 %), 20 (8.7 %), and 29 (12.0 %) patients had AKI in the three groups, respectively. Both TAE (odds ratio [OR], 2.367; 95 % confidence interval [CI], 1.372-3.900; p = 0.001) and Nephrectomy (OR, 2.745; 95 % CI, 1.629-4.528; p < 0.001) were a statistically significant predictor for AKI in the multivariable logistic regression. CONCLUSIONS: TAE and nephrectomy were statistically associated with AKI in patients with blunt renal trauma. This result differs from our previous research findings that nephrectomy, but not TAE, was a risk factor for AKI in patients with blunt renal trauma. Further prospective and well-designed research may be needed.

Low-molecular-weight heparin is associated with lower venous thromboembolism events than factor Xa inhibitors in patients with severe blunt trauma: a cohort study from the Trauma Quality Improvement Program.

BACKGROUND: Venous thromboembolism (VTE), including deep venous thrombosis (DVT) and pulmonary embolism (PE), is a common complication of major trauma. Pharmacological VTE prophylactics are widely used, and low-molecular-weight heparin (LMWH) is recommended. Factor Xa inhibitors are increasingly being used for VTE prophylaxis in both medical and surgical patients. Evidence comparing LMWH and factor Xa inhibitors as VTE prophylactics for severe blunt trauma is lacking. This study aims to compare the efficacy and safety of factor Xa inhibitors and LMHW in VTE prophylaxis. MATERIALS AND METHODS: Patients with severe blunt trauma who received LMWH or a factor Xa inhibitor for VTE prophylaxis in the Trauma Quality Improvement Program between 2017 and 2019 were included. The comparison was performed after using propensity score matching. The outcomes included mortality and incidence of DVT, PE, post-prophylactics haemorrhage control procedures and length of stay. RESULTS: After 2:1 propensity score matching, 1128 patients ( n =752, LMHW group; n =376, factor Xa inhibitor group) were included in the analysis. Patients in the LMWH group had fewer VTE events than those in the factor Xa inhibitor group (DVT, 3.7% vs. 7.2%, P =0.013; PE, 0.4% vs. 3.2%, P <0.001). VTE risk was higher in the factor Xa group (DVT: odds ratio, 1.97; 95% CI, 1.12-3.44; P =0.018 and PE: odds ratio, 9.65; 95% CI, 2.91-44.12; P =0.001). The mortality rate was higher in the LMWH group; however, there was no significant difference (4.0% vs. 1.9%; P =0.075). The difference in the risk of undergoing haemorrhage control surgery after VTE prophylaxis between both groups was insignificant (0.3% vs. 0.0%; P =0.333). CONCLUSIONS: LMWH was associated with a lower risk of VTE than factor Xa inhibitors in patients with severe blunt trauma. The mortality rate was higher in the LMWH group; however, there was no statistically significant difference observed.

Nuance and profound impact: Evaluating the effects of the unmet full coma scale in patients with mild subdural hemorrhage.

INTRODUCTION: Patients with subdural hemorrhage (SDH) and a Glasgow Coma Scale (GCS) score of 13-15 are typically categorized as having mild traumatic brain injury. We hypothesize that patients without a maximum GCS score - specifically, patients with GCS scores of 13 and 14 - may exhibit poorer neurological outcomes. METHOD: Between January 1, 2019, and December 31, 2020, SDH patients with GCS scores ranging from 13 to 15 were retrospectively studied. We compared outcomes between patients with a maximum GCS score of 15 and those with scores of either 13 or 14. Independent factors associated with neurological deterioration among patients with a GCS score of 15 were evaluated using multivariate logistic regression (MLR) analysis. RESULTS: During the study period, 470 patients with SDH and GCS scores between 13 and 15 were examined. Compared to patients with a maximum GCS score (N = 375), those in the GCS 13-14 group (N = 95) showed significantly higher rates of neurological deterioration (33.7% vs. 10.4%, p value <0.001) and neurosurgical interventions (26.3% vs. 16.3%, p value <0.024). Moreover, the GCS 13-14 group had a significantly poorer prognosis than patients with a GCS score of 15 [mortality rate: 7.4% vs. 2.4%, p value <0.017; rate of impaired consciousness at discharge: 21.1% vs. 4.0%, p value <0.001; and rate of neurological disability at discharge: 29.5% vs. 6.9%, p value <0.001]. The MLR analysis revealed that SDH thickness (odds ratio = 1.127, p value = 0.006) was an independent risk factor for neurological disability at discharge in patients with a GCS score of 15. CONCLUSION: Among SDH patients with mild TBI, those with GCS scores of 13-14 exhibited poorer neurological outcomes than those with a maximum GCS score. The thickness of the SDH is positively associated with neurological disability in SDH patients with a maximum GCS score.

Feasibility of non-operative management for patients sustained blunt splenic traumas with concomitant aortic injuries.

PURPOSE: This study aimed to elucidate the treatment approach for blunt splenic injuries concurrently involving the aorta. We hypothesized that non-operative management failure rates would be higher in such cases, necessitating increased hemorrhage control surgeries. METHODS: Data from the Trauma Quality Improvement Program spanning 2017 to 2019 were utilized. All patients with blunt splenic trauma were considered for inclusion. We conducted comparisons between blunt splenic trauma patients with and without thoracic or abdominal aortic injuries to identify any potential disparities in treatment. RESULTS: Among the 32,051 patients with blunt splenic injuries during the study period, 752 (2.3%) sustained concurrent aortic injuries. Following 2:1 propensity score matching, it was determined that the presence of aortic injuries did not significantly affect the utilization of splenic transarterial angioembolization (TAE) (7.2% vs. 8.7%, p = 0.243) or the necessity for splenectomy or splenorrhaphy (15.3% vs. 15.7%, p = 0.853). Moreover, aortic injuries were not a significant factor contributing to TAE failure, regardless of the location or severity of the injury. Patients with simultaneous splenic and aortic injuries required more red blood cell transfusion within first 4 hours (0 ml [0, 900] vs. 0 ml [0, 650], p = 0.001) and exhibited a higher mortality rate (10.6% vs. 7.9%, p = 0.038). CONCLUSION: This study demonstrated that patients with concurrent aortic and splenic injuries presented with more severe conditions, higher mortality rates, and extended hospital stays. The presence of aortic injuries did not substantially influence the utilization of TAE or the necessity for splenectomy or splenorrhaphy. Patients of this type can be managed in accordance with current treatment guidelines. Nonetheless, given their less favorable prognosis, they necessitate prompt and proactive intervention.

Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study.

BACKGROUND: Total hip replacement (THR) is considered the gold standard of treatment for refractory degenerative hip disorders. Identifying patients who should receive THR in the short term is important. Some conservative treatments, such as intra-articular injection administered a few months before THR, may result in higher odds of arthroplasty infection. Delayed THR after functional deterioration may result in poorer outcomes and longer waiting times for those who have been flagged as needing THR. Deep learning (DL) in medical imaging applications has recently obtained significant breakthroughs. However, the use of DL in practical wayfinding, such as short-term THR prediction, is still lacking. OBJECTIVE: In this study, we will propose a DL-based assistant system for patients with pelvic radiographs to identify the need for THR within 3 months. METHODS: We developed a convolutional neural network-based DL algorithm to analyze pelvic radiographs, predict the hip region of interest (ROI), and determine whether or not THR is required. The data set was collected from August 2008 to December 2017. The images included 3013 surgical hip ROIs that had undergone THR and 1630 nonsurgical hip ROIs. The images were split, using split-sample validation, into training (n=3903, 80%), validation (n=476, 10%), and testing (n=475, 10%) sets to evaluate the algorithm performance. RESULTS: The algorithm, called SurgHipNet, yielded an area under the receiver operating characteristic curve of 0.994 (95% CI 0.990-0.998). The accuracy, sensitivity, specificity, and F1-score of the model were 0.977, 0.920, 0932, and 0.944, respectively. CONCLUSIONS: The proposed approach has demonstrated that SurgHipNet shows the ability and potential to provide efficient support in clinical decision-making; it can assist physicians in promptly determining the optimal timing for THR.

Accelerated fixation is associated with fewer pulmonary embolism in patients with isolated and unilateral femoral shaft fractures: A TQIP analysis.

INTRODUCTION: The optimal time to intramedullary internal fixation for patients with isolated and unilateral femoral shaft fractures was investigated by the American College of Surgeons-Trauma Quality Improvement Program (ACS-TQIP). MATERIAL AND METHODS: Adult patients from the TQIP between 2017 and 2019 were eligible for inclusion. The associations between time to fixation and target outcomes (pulmonary embolism [PE], deep vein thrombosis [DVT], acute respiratory distress syndrome [ARDS], and mortality) were assessed. Maximization of the sum of sensitivity and specificity was used to determine the optimal cut point. The patients were divided into three groups according to different time to fixation intervals. A multinomial propensity scores weighting using generalized boosted models was performed for all unbiased pre-treatment factors between the groups. Multivariate logistic regression was used to clarify the outcomes predictors. RESULTS: The univariate and multivariate analysis before weighting showed that only PE was significantly associated with time to fixation (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.01-1.09; p = 0.012). The optimal cut point of time to fixation was 13.88 h. The patients were divided into accelerated (≤ 13.88 h), standard (> 13.88 and ≤ 24 h), and delayed (> 24 and < 36 h) groups. After weighting for all unbiased pre-treatment factors between the groups, multivariate logistic regression showed that standard group significantly increased the risk of PE compared with accelerated group (OR, 4.436; 95% CI, 1.844-10.672; p = 0.001). CONCLUSION: Accelerated intramedullary internal fixation within 13.88 h was associated with a significantly decreased risk of PE compared with standard fixation in patients with isolated and unilateral femoral shaft fractures without additional mortality risks.

Speeding pelvic fracture fixation: CT scan with simultaneous 3-D pelvic reconstruction in the emergency department.

INTRODUCTION: Contrast-enhanced computed tomography (CT) scans are usually needed in the emergency department (ED) to evaluate intra-abdominal injuries associated with pelvic fractures. Three-dimensional (3-D) images for pelvis reconstruction are also needed for planning surgical fixation after admission. This study investigates the advantages integrating a one-stage computed tomography (CT) scan with these two diagnostic modalities simultaneously to reduce the time to surgery and improve the outcomes of pelvic fracture fixation. METHODS: A retrospective cohort study (2018-2021) of patients with pelvic fractures was performed. Patients were categorized into the one-stage CT group or the two-stage CT group, and propensity score matching was used to address biases. The outcome measures included time to surgical fixation, time to CT scan for 3-D pelvis reconstruction, and overall length of hospital stay. RESULTS: Four hundred forty-four pelvic fracture patients who underwent definite surgical fixation were identified. Of those, 320 underwent a one-stage CT scan, while the remaining 124 underwent a two-stage CT scan. After well-balanced matching, those in the one-stage CT group had a significantly shorter time to surgical fixation than those in the two-stage CT group (4.6 vs. 6.8 days, p < 0.001). Even among critically ill patients necessitating intensive care unit (ICU) admission, the one-stage CT scan group had a shorter time to definitive surgical fixation (5.5 vs. 7.2 days, p = 0.002) and a shorter hospital stay (19.0 vs. 32.7 days, p = 0.006). CONCLUSION: A one-stage contrast-enhanced CT scan combined with simultaneous 3-D pelvis reconstruction is promising for expediting surgical fixation in pelvic fracture patients. This innovative strategy may improve patient outcomes by facilitating timely surgical interventions and minimizing delays associated with additional CT scans.

Effect of multiple-digit replantation in patients with amputated digits.

PURPOSE: The replantation of multiple amputated digits is a technically challenging procedure for reconstructive surgeons that requires more time than the replantation of a single digit. We evaluated the effect of multiple-digit replantation on the success of digital replantation. METHODS: Patients who experienced digital amputation and underwent digital replantation from January 2018 to December 2021 were studied retrospectively. Patients who experienced successful and failed replantation were compared, as were digits that survived or became necrotic after replantation. A multivariate logistic regression (MLR) analysis was performed to evaluate the independent factors of replanted digit survival. RESULTS: There were 378 patients with 497 amputated digits who underwent digital replantation. Of all 378 patients, 298 underwent single-digit replantation, and the other 80 patients underwent multiple-digit replantation. A total of 83.3% of the replanted digits survived (414 of 497). Compared with patients with surviving replanted digits, significantly more patients with necrotic replanted digits underwent multiple-digit replantation (37.7% vs. 17.5%, p < 0.001). On the other hand, a digit that developed necrosis after replantation was more likely to have been involved in the replantation of three or more digits (16% vs. 29%, p = 0.005). The subsequent MLR analysis revealed that the likelihood of necrosis was 2.355 (p = 0.003) times higher in the replantation of three or more digits than in the replantation of one or two digits. CONCLUSION: Patients who underwent multiple-digit replantation exhibited a higher incidence of necrosis in the replanted digits. In cases involving patients with multiple-digit amputation, it is crucial to prioritize and perform selective replantation based on the amputated digits.

The Role of Diagnostic Laparoscopy in the Evaluation of Abdominal Trauma Patients: A Trauma Quality Improvement Program Study.

PURPOSE: We aimed to identify factors related to delayed intervention in abdominal trauma patients who underwent diagnostic laparoscopy using a nationwide databank. METHODS: From 2017 to 2019, abdominal trauma patients who underwent diagnostic laparoscopy were retrospectively evaluated using the Trauma Quality Improvement Program. Patients who underwent delayed interventions after a primary diagnostic laparoscopy were compared with those who did not. Factors associated with poor outcomes that are usually correlated with overlooked injuries and delayed interventions were also analyzed. RESULTS: Of the 5221 studied patients, 4682 (89.7%) underwent inspection without any intervention. Only 48 (0.9%) patients underwent delayed interventions after primary laparoscopy. Compared with patients receiving immediate interventions during primary diagnostic laparoscopy, patients receiving delayed interventions were more likely to have small intestine injuries (58.3% vs. 28.3%, p < 0.001). Among patients with hollow viscus injuries, a significantly higher probability of overlooked injuries that required delayed intervention was observed in patients with small intestine injuries (small intestine injury: 16.8%; gastric injury: 2.5%; large intestine injury: 5.2%). However, delayed small intestine repair did not significantly affect the risk of surgical site infection (SSI) (p = 0.249), acute kidney injury (AKI) (p = 0.998), or hospital length of stay (LOS) (p = 0.053). In contrast, significantly positive relationships between delayed large intestine repair and poor outcomes were observed (SSI, odds ratio = 19.544, p = 0.021; AKI, odds ratio = 27.368, p < 0.001; LOS, ß = 13.541, p < 0.001). CONCLUSIONS: Most examinations and interventions (near 90%) were successful during primary laparoscopy for abdominal trauma patients. Small intestine injuries were easily overlooked. Delayed small intestine repair-related poor outcomes were not observed.

The Application of Design Thinking in Developing a Deep Learning Algorithm for Hip Fracture Detection.

(1) Background: Design thinking is a problem-solving approach that has been applied in various sectors, including healthcare and medical education. While deep learning (DL) algorithms can assist in clinical practice, integrating them into clinical scenarios can be challenging. This study aimed to use design thinking steps to develop a DL algorithm that accelerates deployment in clinical practice and improves its performance to meet clinical requirements. (2) Methods: We applied the design thinking process to interview clinical doctors and gain insights to develop and modify the DL algorithm to meet clinical scenarios. We also compared the DL performance of the algorithm before and after the integration of design thinking. (3) Results: After empathizing with clinical doctors and defining their needs, we identified the unmet need of five trauma surgeons as "how to reduce the misdiagnosis of femoral fracture by pelvic plain film (PXR) at initial emergency visiting". We collected 4235 PXRs from our hospital, of which 2146 had a hip fracture (51%) from 2008 to 2016. We developed hip fracture DL detection models based on the Xception convolutional neural network by using these images. By incorporating design thinking, we improved the diagnostic accuracy from 0.91 (0.84-0.96) to 0.95 (0.93-0.97), the sensitivity from 0.97 (0.89-1.00) to 0.97 (0.94-0.99), and the specificity from 0.84 (0.71-0.93) to 0.93(0.990-0.97). (4) Conclusions: In summary, this study demonstrates that design thinking can ensure that DL solutions developed for trauma care are user-centered and meet the needs of patients and healthcare providers.