Designing a model of emergency medical services preparedness in response to mass casualty incidents: a mixed-method study.

BACKGROUND: Emergency medical services preparedness in mass casualty incidents is one of the most important concerns in emergency systems. A mass casualty incident is a sudden event with several injured individuals that overwhelms the local health care system. This study aimed to identify and validate the components of emergency medical services readiness in mass casualty incidents which ultimately led to designing a conceptual model. METHODS: This research was an explanatory mixed-method study conducted in five consecutive stages in Iran between November 2021 and September 2023. First, a systematic review was carried out to extract the components of emergency medical services preparedness in mass casualty incidents based on the PRISMA guideline. Second, a qualitative study was designed to explore the preparedness components through in-depth semi-structured interviews and analyzed using the content analysis approach. Third, the integration of the components extracted from the two stages of the systematic review and qualitative study was done by an expert panel. Fourth, the obtained components were validated using the Delphi technique. Two rounds were done in the Delphi phase. Finally, the conceptual model of emergency medical services preparedness in mass casualty incidents was designed by a panel of experts. RESULTS: 10 articles were included in the systematic review stage and sixteen main components were extracted and classified into four categories. In the second stage, thirteen components were extracted from the qualitative study and classified into five categories. Then, the components of the previous two phases were integrated into the panel of experts and 23 components were identified. After validation with the Delphi technique, 22 components were extracted. Lastly, the final components were examined by the panel of experts, and the conceptual schematic of the model was drawn. CONCLUSIONS: It is necessary to have an integrated framework and model of emergency medical service readiness in the planning and management of mass casualty incidents. The components and the final model of this research were obtained after the systematic scientific steps, which can be used as a scheme to improve emergency medical service preparedness in response to mass casualty incidents.

Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data.

BACKGROUND: Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced current technology can facilitate automating the process and help identifying those who are at higher risks of developing severe illness. This work explores and represents deep-learning-based schemes for predicting clinical outcomes in Covid-19 infected patients, using Visual Transformer and Convolutional Neural Networks (CNNs), fed with 3D data fusion of CT scan images and patients' clinical data. METHODS: We report on the efficiency of Video Swin Transformers and several CNN models fed with fusion datasets and CT scans only vs. a set of conventional classifiers fed with patients' clinical data only. A relatively large clinical dataset from 380 Covid-19 diagnosed patients was used to train/test the models. RESULTS: Results show that the 3D Video Swin Transformers fed with the fusion datasets of 64 sectional CT scans + 67 clinical labels outperformed all other approaches for predicting outcomes in Covid-19-infected patients amongst all techniques (i.e., TPR = 0.95, FPR = 0.40, F0.5 score = 0.82, AUC = 0.77, Kappa = 0.6). CONCLUSIONS: We demonstrate how the utility of our proposed novel 3D data fusion approach through concatenating CT scan images with patients' clinical data can remarkably improve the performance of the models in predicting Covid-19 infection outcomes. SIGNIFICANCE: Findings indicate possibilities of predicting the severity of outcome using patients' CT images and clinical data collected at the time of admission to hospital.

Comparison of chest CT scan findings between COVID-19 and pulmonary contusion in trauma patients based on RSNA criteria: Established novel criteria for trauma victims.

PROPOSE: In this study, we re-assessed the criteria defined by the radiological society of North America (RSNA) to determine novel radiological findings helping the physicians differentiating COVID-19 from pulmonary contusion. METHODS: All trauma patients with blunt chest wall trauma and subsequent pulmonary contusion, COVID-19-related signs and symptoms before the trauma were enrolled in this retrospective study from February to May 2020. Included patients (Group P) were then classified into two groups based on polymerase chain reaction tests (Group Pa for positive patients and Pb for negative ones). Moreover, 44 patients from the pre-pandemic period (Group PP) were enrolled. They were matched to Group P regarding age, sex, and trauma-related scores. Two radiologists blindly reviewed the CT images of all enrolled patients according to criteria defined by the RSNA criteria. The radiological findings were compared between Group P and Group PP; statistically significant ones were re-evaluated between Group Pa and Group Pb thereafter. Finally, the sensitivity and specificity of each significant findings were calculated. The Chi-square test was used to compare the radiological findings between Group P and Group PP. RESULTS: In the Group PP, 73.7% of all ground-glass opacities (GGOs) and 80% of all multiple bilateral GGOs were detected (p < 0.001 and p = 0.25, respectively). Single bilateral GGOs were only seen among the Group PP. The Chi-square tests showed that the prevalence of diffused GGOs, multiple unilateral GGOs, multiple consolidations, and multiple bilateral consolidations were significantly higher in the Group P (p = 0.001, 0.01, 0.003, and 0.003, respectively). However, GGOs with irregular borders and single consolidations were more significant among the Group PP (p = 0.01 and 0.003, respectively). Of note, reticular distortions and subpleural spares were exclusively detected in the Group PP. CONCLUSION: We concluded that the criteria set by RSNA for the diagnosis of COVID-19 are not appropriate in trauma patients. The clinical signs and symptoms are not always useful either. The presence of multiple unilateral GGOs, diffused GGOs, and multiple bilateral consolidations favor COVID-19 with 88%, 97.62%, and 77.7% diagnostic accuracy.

Should we change our approach to resuscitating victims of femoral fracture? A clinical experience in a busy trauma hospital in Shiraz, Iran.

PURPOSE: Traumatic hemorrhagic shock is a life-threatening event worldwide. Severe brain trauma accompanying femoral fractures can trigger inflammatory responses in the body and increase pre-inflammatory cytokines such as TNF-α, IL-1. The primary treatment in these cases is hydration with crystalloids, which has both benefits and complications. The purpose of this study was to investigate the effects of fluid therapy on the hemodynamics, coagulation profiles, and blood gases in such patients. METHODS: In this cross-sectional study, patients were divided into two groups: femoral fracture group and non-femoral group. The hemodynamic status, coagulation profile, and blood gases of patients in both groups were evaluated upon arrival at the hospital and again 2 h later. Data were analyzed by t-test and ANOVA with repeated data and paired samples t-test. RESULTS: A total of 681 trauma patients (605 men and 76 women) participated in this study, including 69 (86.3%) men and 11 (13.8%) women in femoral fracture group and 536 men (89.2%) and 65 women (10.8%) in non-femoral group. The laboratory parameters were evaluated in response to the equal amount of crystalloid fluid given upon arrival and 2 h later. Blood gases decreased in the fracture group despite fluid therapy (p < 0.003), and the coagulation profile worsened although the change was not statistically significant. CONCLUSION: The treatment of multiple-trauma patients with femoral bone fractures should be more concerned with the need for the infusion of vasopressors such as norepinephrine. If there is evidence of clinical shock, excessive crystalloid infusion (limited to 1 L) should be avoided, and blood and blood products should be started as soon as possible.

Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases are related to perinatal hypoxic-ischemic encephalopathy (HIE). Studies of neuroprotection in animal models consistently suggest that treatment must be started as early as possible in the first 6 h after hypoxia-ischemia (HI), the so-called latent phase before secondary deterioration, to improve outcomes. We have shown in preterm sheep that EEG biomarkers of injury, in the form of high-frequency micro-scale spike transients, develop and evolve in this critical latent phase after severe asphyxia. Real-time automatic identification of such events is important for the early and accurate detection of HI injury, so that the right treatment can be implemented at the right time. We have previously reported successful strategies for accurate identification of EEG patterns after HI. In this study, we report an alternative high-performance approach based on the fusion of spectral Fourier analysis and Type-I fuzzy classifiers (FFT-Type-I-FLC). We assessed its performance in over 2520 min of latent phase EEG recordings from seven asphyxiated in utero preterm fetal sheep exposed to a range of different occlusion periods. The FFT-Type-I-FLC classifier demonstrated 98.9 ± 1.0% accuracy for identification of high-frequency spike transients in the gamma frequency band (namely 80-120 Hz) post-HI. The spectral-based approach (FFT-Type-I-FLC classifier) has similar accuracy to our previous reverse biorthogonal wavelets rbio2.8 basis function and type-1 fuzzy classifier (rbio-WT-Type-1-FLC), providing competitive performance (within the margin of error: 0.89%), but it is computationally simpler and would be readily adapted to identify other potentially relevant EEG waveforms.

Screw Stimulation Thresholds for Neuromonitoring in Minimally Invasive Oblique Lateral Lumbar Interbody Fusion (OLLIF): A Correlational Study.

INTRODUCTION: This study presents findings from an investigation into the correlation of neuromonitoring techniques in minimally invasive lumbar fusions and their open counterparts regarding acceptable thresholds for screw stimulation. The threshold for acceptable stimulation value for open surgery has been established. The study compared acceptable thresholds for open pedicle screws where there is more connection between the screw and the soft tissue. METHODS: The neuromonitoring data of 17 patients who underwent oblique lateral lumbar interbody fusion (OLLIF) procedures between September 2023 to May 2024 were reviewed. Neuromonitoring was conducted throughout surgeries, recording stimulation thresholds for pedicle screws insulated and uninsulated, to simulate the environment of a screw during open and minimally invasive surgery respectively. Patients' BMI was also collected for potential correlation analysis. RESULTS: Results indicate a discernible correlation between stimulation thresholds in open and minimally invasive surgeries, but no definitive correlation with BMI due to sample size limitations. Though a significant correlation between the two stimulating styles is apparent, there is a good correlation to suggest what threshold should determine a standard stimulation threshold for minimally invasive surgeries. CONCLUSION: The study emphasizes the need for refined neuromonitoring strategies in minimally invasive spinal fusion (MISF) surgeries to ensure patient safety and surgical effectiveness. Further research with larger cohorts is recommended to establish optimized protocols that have a clearly defined amplitude for MISF thresholds.

Shining a Light on Trace Elements: A Systematic Review and Meta-analysis of Serum Concentrations in Febrile seizure.

Febrile seizures (FS) are a common occurrence in pediatric patients and are typically triggered by high fevers above 100.4°F (38°C), often associated with viral or bacterial infections such as respiratory or gastrointestinal infections. Recent research suggests that the serum concentration of trace elements may play a role in the occurrence of FS. This study aimed to assess the association between serum levels of trace elements and FS in pediatric patients. A comprehensive search of four databases, including Scopus, Web of Science, PubMed, and Google Scholar, was conducted up to February 2024. The study followed the PICO structure, focusing on the Population (pediatric patients with FS), Intervention (serum concentrations of selenium, zinc, magnesium, and copper), Comparison (with or without controls), and Outcome (occurrence of FS). The methodological quality of the included observational studies was assessed using the Newcastle-Ottawa Scale (NOS) tool. Out of a total of 168 papers, 37 met the inclusion criteria for this meta-analysis, covering studies published between 2018 and 2023. Lower serum zinc levels were observed in pediatric patients with FS compared to control groups (SMD: -1.25, 95% CI: -1.47, -1.03). Conversely, higher serum copper levels were found in control groups compared to those with FS (SMD: 0.43, 95% CI: 0.04, 0.82). Additionally, lower serum magnesium levels were detected in the FS group compared to controls (SMD: -0.76, 95% CI: -1.57, 0.05), while serum selenium levels were approximately two times lower in the FS group than in controls (SMD: -2.23, 95% CI: -2.76, -1.70). Our meta-analysis suggests that pediatric patients with FS have lower serum concentrations of trace elements compared to controls. Further research is warranted to elucidate the potential role of trace elements in the pathogenesis of FS. This meta-analysis and systematic review was registered in the International prospective register of systematic reviews (PROSPERO ID: CRD42024519163). Registry URL: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024519163 registry number: CRD42024519163.

The Link Between Vitamin D and the Risk of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review.

BACKGROUND: Vitamin D (VD) is one of the fat-soluble vitamins proposed to be associated with aSAH. According to the clinical evidence, this investigation explores the link between VD concentrations and clinical outcomes in aSAH patients. METHODS: This systematic review was executed based on the PRISMA 2020 statement. Observational studies that evaluated the serum VD concentrations in aSAH patients were considered as included articles. Review articles, case reports, letters, commentaries, non-English papers, and conference abstracts were excluded. Five online databases-Scopus, PubMed, Web of Science, Embase, and Ovid-were searched up to November 23, 2023, and based on the Newcastle-Ottawa Scale, the risk of bias was assessed. RESULTS: Out of 383 articles initially identified, eventually 7 studies were included in the systematic review. These studies were conducted between 2016 and 2023 and included a total of 333,907 patients. The varying results suggest that VD may impact clinical outcomes in aSAH patients. CONCLUSIONS: This study highlights the complex association between VD concentration and the risk of aSAH. The observed inconsistencies in study outcomes suggest that the relationship between VD and aSAH is multifaceted and may be influenced by various factors, including study population, geographical location, and methodological approach.

Deep Learning for Generalized EEG Seizure Detection after Hypoxia-Ischemia-Preclinical Validation.

Brain maturity and many clinical treatments such as therapeutic hypothermia (TH) can significantly influence the morphology of neonatal EEG seizures after hypoxia-ischemia (HI), and so there is a need for generalized automatic seizure identification. This study validates efficacy of advanced deep-learning pattern classifiers based on a convolutional neural network (CNN) for seizure detection after HI in fetal sheep and determines the effects of maturation and brain cooling on their accuracy. The cohorts included HI-normothermia term (n = 7), HI-hypothermia term (n = 14), sham-normothermia term (n = 5), and HI-normothermia preterm (n = 14) groups, with a total of >17,300 h of recordings. Algorithms were trained and tested using leave-one-out cross-validation and k-fold cross-validation approaches. The accuracy of the term-trained seizure detectors was consistently excellent for HI-normothermia preterm data (accuracy = 99.5%, area under curve (AUC) = 99.2%). Conversely, when the HI-normothermia preterm data were used in training, the performance on HI-normothermia term and HI-hypothermia term data fell (accuracy = 98.6%, AUC = 96.5% and accuracy = 96.9%, AUC = 89.6%, respectively). Findings suggest that HI-normothermia preterm seizures do not contain all the spectral features seen at term. Nevertheless, an average 5-fold cross-validated accuracy of 99.7% (AUC = 99.4%) was achieved from all seizure detectors. This significant advancement highlights the reliability of the proposed deep-learning algorithms in identifying clinically translatable post-HI stereotypic seizures in 256Hz recordings, regardless of maturity and with minimal impact from hypothermia.

Simultaneous acute portal vein thrombosis and ST elevation myocardial infarction in a Covid-19 patient - Case report.

Background: Covid-19 infected patients without any risk factors and family history of a thrombotic event can be still at risks of developing thrombotic and/or other Covid-19-related complications, and therefore, there is a substantial need to study such cases. Case presentation: In this study, we present a 60-years-old Covid-19 patient with mild symptoms who was admitted to the hospital with simultaneous arterial and venous thrombotic event, with chief complaint of chest pain and vague abdominal pain. The patient was diagnosed with Covid-19 two weeks before admission to the ICU. A 12-lead electrocardiogram revealed pathologic Q-wave ST-segment elevation and T-wave inversion in II, III, aVF, and T inversion in V5 and V6. Quantitative troponin was elevated which confirmed inferior ST-elevation MI. Abdominal color Doppler sonography and CT scan with contrast demonstrated an absent flow in the portal vein and thrombosis. A chest CT scan illustrated a normal pattern. We started IV unfractionated heparin (UFH), dual antiplatelet, beta-blocker, statin, intravenous nitrate, and angiotensin-converting enzyme inhibitor. Coronary angiography showed the right coronary artery was totally cut off at the proximal part.Here we report three main un-common characteristics associated with our patient compared to other similar studies. First, the thrombotic event in our case occurred without pulmonary involvement and the patient only had a flu-like symptom two weeks before admission. The second main difference is that the patient's arterial and venous thrombotic events had simultaneously happened, which is not common in most cases. Patient presented simultaneous portal vein thrombosis and recent ST-segment elevation Myocardial Infarction (MI). Finally, both MI and portal vein thrombosis symptoms were subtle and confusing, which could cause misdiagnosis. A post two-weeks color Doppler sonography follow-up showed portal vein thrombosis recanalization and myocardial perfusion scan had no viability and reversible ischemia in RCA territory. Conclusions: This report addresses that a cautious diagnosis of Covid-19 at the time of admission can play a vital role in preventing cardiovascular events; where even asymptomatic to mildly infected patients could be still at higher risks of developing clinical complications (e.g., thrombotic events).

2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural injury and cause impaired brain development. Preterm neonatal seizures are often not detected or their occurrence underestimated. Therefore, there is a need to improve knowledge about preterm seizures that can help establish diagnostic tools for accurate identification of seizures and for determining morphological differences. We have previously shown the superior utility of deep-learning algorithms for the accurate identification and quantification of post-HI microscale epileptiform transients (e.g., gamma spikes and sharp waves) in preterm fetal sheep models; before the irreversible secondary phase of cerebral energy failure starts by the bursts of high-amplitude stereotypic evolving seizures (HAS) in the signal. We have previously developed successful deep-learning algorithms that accurately identify and quantify the micro-scale transients, during the latent phase. Building up on our deep-learning strategies, this work introduces a real-time deep-learning-based pattern fusion approach to identify HAS in the 256Hz sampled post-HI data from our preterm fetuses. Here, for the first time, we propose a 17-layer deep convolutional neural network (CNN) classifier fed with 2D wavelet-scalogram (WS) images of the EEG patterns for accurate seizure identification. The WS-CNN classifier was cross-validated over 1812 manually annotated EEG segments during ~6 to 48 hours post-HI recordings. The classifier accurately recognized HAS patterns with 97.19% overall accuracy (AUC = 0.96).Clinical relevance-The promising results from this preliminary work indicate the ability of the proposed WS-CNN pattern classifier to identify HI-related seizures in the neonatal preterm brain using 256Hz EEG; the frequency commonly used clinically for data collection.

Emergency medical services preparedness in mass casualty incidents: A qualitative study.

Background and Aims: The effective response of emergency medical services in mass casualty incidents (MCIs) calls for sufficient preparation. The components of preparation must be determined first to achieve this goal. This study aimed to describe the elements of preparedness of emergency medical services for MCIs. Methods: A qualitative study was carried out on emergency medical service systems in Iran (from April 2022 to mid-March 2023), using in-depth semistructured interviews with participants who were managers and members of the incident command team, experts, technicians, paramedics, and telecommunicators of emergency medical services. Interviews were carried out face-to-face and via telephone. The data were collected using voice recorder and transcript and analyzed by content analysis method. This study was conducted using the consolidated criteria for reporting qualitative research. Results: Thirty-six participants were included in the study. A total of 834 codes were analyzed. Thirteen components were extracted from the study and classified as five categories including "Strengthening management and organization," "individual and group empowerment," "capacity expansion," "technology and infrastructure development," and "operational response measures." Conclusion: Emergency medical service preparedness in response to MCIs is a critical issue. For improving preparedness, the main components must be identified. The study results described the elements of emergency medical service preparedness, which could be used as a framework for developing the national model of emergency medical service preparedness in MCIs.

Emergency medical services preparedness in mass casualty incidents: A systematic review.

OBJECTIVE: The role of emergency medical services (EMS) preparedness in mass casualty incidents (MCIs) is crucial. MCIs are increasing worldwide, and EMS must enhance preparedness for them. For this purpose, the main components of EMS preparedness should be identified. This study aimed to describe the components of EMS preparedness in response to MCIs. DESIGN AND SETTING: This systematic review was conducted based on the Preferred Reporting Item for Systematic Reviews and Meta-analyses guideline. The articles published from January 1970 to February 2022 were searched to discover the main components of EMS preparedness in MCIs. The electronic databases including PubMed, Cochrane Library, Scopus, Science Direct, and ProQuest were searched using predetermined keywords. Ten articles were selected and included in this review. RESULTS: After reviewing the articles, we identified the components of EMS preparedness in MCIs. Accordingly, 16 main components were extracted and classified into four categories, ie, individual improvement, group improvement, resources, and operations. CONCLUSION: MCIs are so complicated that they require adequate prehospital preparedness. This study described the components of EMS preparedness in MCIs. The authorities in EMS will benefit from this framework in planning and responding to MCIs.

Effectiveness of online practical education on vaccination training in the students of bachelor programs during the Covid-19 pandemic.

BACKGROUND: The importance of immunization and the necessity of achieving the goals of the immunization expansion plan and the critical role of undergraduate public health students in attaining these goals in the Covid-19 pandemic is evident. The present study aimed at investigating the effectiveness of using online educational videos on practical learning of vaccination in the apprenticeship stage during covid-19 pandemic: a randomized controlled trial. MATERIAL AND METHODS: This experimental study was conducted on 120 students (60 interventions and 60 control groups) at Hamadan University of Medical Sciences during 2019-2020. The intervention included training vaccination skills through educational videos based on self-efficacy theory, which was conducted for two weeks each week in two sessions of two hours for the intervention group using an educational video. A researcher-made questionnaire and a performance checklist were used to collect data. Data were analyzed using SPSS-16 software. Paired t-test, independent t-test, and Chi-square. RESULTS: The mean age of the subjects was 22.41 years, and most of the participants were female students (80%). There were statistically significant differences between the intervention and control groups regarding knowledge (19.17±0.92 vs. 16.03±3.00; P<0.001), self-efficacy (40.84±3.71 vs 33.45±4.83; P = 0.01), attitude (22.56±2.95vs 20.28±3.25; P = 0.01) and performance (27.92±6.00 vs 22.38±5.40; P = 0.01) after the intervention. CONCLUSION: According to the findings of this study, the use of educational videos for undergraduate students of public health during the apprenticeship period has a positive effect on the practical learning of vaccination. However, it seems that in non-critical times, online education along with face-to-face education will be more effective for practical training.

Household Food Insecurity and Associated Factors among Iranian Patients with Esophageal and Gastric Cancers.

Background: Household food insecurity (HFI) which has still been one of the major global public health issues is related to adverse health outcomes in individuals. Therefore, this study aimed to determine the prevalence of HFI and its associated factors in Iranian patients with esophageal and gastric cancers. Methods: The data of this cross-sectional study was obtained from 315 patients with esophageal and gastric cancers who were selected from a gastrointestinal cancer-based cohort study conducted in Firoozgar hospital, in Tehran. Food insecurity (FI) was measured using the Iranian version of the HFI questionnaire that was completed by a trained interviewer. The multivariable logistic regression model was used to determine the independent association of each factor with HFI. A P value lower than 0.05 was considered statistically significant. Results: The mean±SD of participants' age was 63.2±12.6 years and 65.4% were men. Most of the patients (75.8%) suffered from gastric cancer and 24.2% from esophageal cancer. The overall prevalence of FI among participants' households was 35.2%. There was an independent significant association between wealth index (WI) and HFI after the use of the multivariable logistic regression model, in such a way that the odds of FI in the poorest, poor, moderate, and rich patients' households were respectively, 6.41, 5.05, 2.74 and 2.04 times higher compared with the richest households. Conclusion: More than a third of participants' households struggled with FI, which was found to have a higher prevalence in loweconomic households. Therefore, health policymakers should intervene in food-insecure households by developing, establishing, and implementing strategies and control programs to improve affordable food access.

Atlas-Free Automatic Segmentation of Sheep Brain MRI.

Automated 3D brain segmentation methods have been shown to produce fast, reliable, and reproducible segmentations from magnetic resonance imaging (MRI) sequences for the anatomical structures of the human brain. Despite the extensive experimental research utility of large animal species such as the sheep, there is limited literature on the segmentation of their brains relative to that of humans. The availability of automatic segmentation algorithms for animal brain models can have significant impact for experimental explorations, such as treatment planning and studying brain injuries. The neuroanatomical similarities in size and structure between sheep and humans, plus their long lifespan and docility, make them an ideal animal model for investigating automatic segmentation methods.This work, for the first time, proposes an atlas-free fully automatic sheep brain segmentation tool that only requires structural MR images (T1-MPRAGE images) to segment the entire sheep brain in less than one minute. We trained a convolutional neural network (CNN) model - namely a four-layer U-Net - on data from eleven adult sheep brains (training and validation: 8 sheep, testing: 3 sheep), with a high overall Dice overlap score of 93.7%.Clinical relevance- Upon future validation on larger datasets, our atlas-free automatic segmentation tool can have clinical utility and contribute towards developing robust and fully automatic segmentation tools which could compete with atlas-based tools currently available.

Deep-Learning Markerless Tracking of Infant General Movements using Standard Video Recordings.

Monitoring spontaneous General Movements (GM) of infants 6-20 weeks post-term age is a reliable tool to assess the quality of neurodevelopment in early infancy. Abnormal or absent GMs are reliable prognostic indicators of whether an infant is at risk of developing neurological impairments and disorders such as cerebral palsy (CP). Therapeutic interventions are most effective at improving neuromuscular outcomes if administered in early infancy. Current clinical protocols require trained assessors to rate videos of infant movements, a time-intensive task. This work proposes a simple, inexpensive, and broadly applicable markerless pose-estimation approach for automatic infant movement tracking using conventional video recordings from handheld devices (e.g., tablets and mobile phones). We leverage the enhanced capabilities of deep-learning technology in image processing to identify 12 anatomical locations (3 per limb) in each video frame, tracking a baby's natural movement throughout the recordings. We validate the capability of resnet152 and a mobile-net-v2-1 to identify body-parts in unseen frames from a full-term male infant, using a novel automatic unsupervised approach that fuses likelihood outputs of a Kalman filter and the deep-nets. Both deep-net models were found to perform very well in the identification of anatomical locations in the unseen data with high average Percentage of Correct Keypoints (aPCK) performances of >99.65% across all locations.Clinical relevance-Results of this research confirm the feasibility of a low-cost and publicly accessible technology to automatically track infants' GMs and diagnose those at higher risk of developing neurological conditions early, when clinical interventions are most effective.

Efficacy and Clinical Outcomes of Minimally Invasive Direct Thoracic Interbody Fusion: A Retrospective Analysis.

INTRODUCTION: A unique surgical approach - the minimally invasive direct interbody fusion (MIS-DTIF) - was previously introduced in our proof-of-concept study, which included four patients who underwent thoracic interbody fusion below the scapula at the T6/7 vertebral level. However, due to the novelty of this method, a report of associated operative parameters such as pain, function, and clinical outcomes from an expanded patient cohort was needed to assess the validity of our results. MATERIALS AND METHODS: Following IRB approval, data were analyzed retrospectively from electronic health records between 2014 and 2021. Inclusion criteria were patients ≥18 years old who underwent minimally invasive thoracic interbody fusion using the MIS-DTIF technique for at least one vertebral level. The primary outcomes included demographic/radiographic features (e.g., age). Secondary outcomes included perioperative clinical features (e.g., preoperative and ≥1-year final follow-up (FFU)). Tertiary outcomes included perioperative complications. Both preoperative and FFU patient-reported pain and functional outcomes (ODI scores) were analyzed using t-tests to establish significance.  Results: A total of 13 patients who underwent MIS-DTIF surgery were observed, with eight male patients and five female patients. The average age was 49.2 years, with an average BMI of 30.5 kg/m2. Of the surgeries included, the majority (69.23%) were 1-level thoracic vertebrae fusions - with 2-level fusions and ≥ 3-level fusions accounting for 15.38% and 15.38% of cases, respectively. The mean operative time was 58.9 ± 19.9 minutes, with an average fluoroscopy time of 285.7 ± 126.8 seconds and an average actual blood loss volume of 109.0 ± 79.0 mL. The average hospital length of stay was 1.1 (±1.7) days, and no clinically significant perioperative complications were observed in this patient cohort. The average follow-up period was 12.1 ± 9.6 months, with preoperative and FFU back pain visual analog scale (VAS) scores showing highly significant improvement (p<0.001). In addition to pain reduction, quality of life improvements was noted, with significant differences in some of the ODI domains between preoperative and FFU scores (p<0.05), as well as the overall total score between preoperative and FFU ODI assessment (p<0.001) - both of which reflect increased patient function and decreased disability. CONCLUSION: This study provides further evidence for the safety and efficacy of the MIS-DTIF approach for surgical management of symptomatically refractory patients with thoracic disc herniation or stenosis owing to degenerative disc disease or compression fractures. Additionally, the data gathered suggests that this minimally invasive procedure offers many clinical benefits, including less tissue damage, decreased intraoperative blood loss, shortened surgery time, and shortened hospital length of stay. Finally, in addition to significant pain intensity improvement, this study showed that treated patients highly benefited from 'sleeping' and 'return-to-work' domains and other ODI functional domains in activities of daily living (ADLs). More clinical studies are recommended in larger patient cohorts to ascertain the findings reported in this study.

The role of routine chest radiography in initial evaluation of stable blunt trauma patients.

BACKGROUND: Radiology plays an important role in evaluation of a trauma patient. Although chest radiography is recommended for initial evaluation of the trauma patient by the Advanced Trauma Life Support course, we hypothesized that precise physical examinations and history taking accurately identify those blunt trauma patients at low risk for chest injury, making routine radiographs unnecessary. Thus, this study was performed to investigate the role of chest radiography in initial evaluation of those trauma patients with normal physical examination. METHODS: In this prospective cross-sectional study, all the hemodynamically stable blunt trauma patients with negative physical examination result referred to our trauma center during a 4-month period (March-June 2009) were included. Chest radiographies were performed and reviewed for abnormalities. RESULTS: During the study period, 5091 blunt trauma patients referred to our center, out of which, 1008 were hemodynamically stable and had negative physical examination result. Only 1 (0.1%) patient had abnormal chest radiography that showed perihilar lymphadenopathy, unrelated to trauma. CONCLUSION: Performing routine chest radiography in stable blunt trauma patients is of low clinical value. Thus, decision making for performing chest radiography in blunt trauma patients based on clinical findings would be efficacious and resource saving.

Comparison of conservative management and laparotomy in the management of stable patients with abdominal stab wound.

INTRODUCTION: The management of the hemodynamically stable patients with penetrating abdominal stab wounds is a problematic issue among trauma surgeons. METHODS: In a retrospective study, we analyzed stable patients with anterior abdominal stab wound from August 2009 to 2010. The patients who were hemodynamically unstable or had developed peritonitis were excluded. In our center, the patients are treated through conservative or operative management depending on the protocol of management of the stable penetrating abdominal stab wound in our center. We compared the effectiveness, mean duration of hospital admission, and the time of starting diet in 2 groups. RESULTS: There were 99 cases including 47 patients in the conservative group and 52 in the laparotomy group. The laparotomy was negative in 73% and positive in 27% of the patients. In the conservative group, all the patients remained asymptomatic and stable except for 6 patients who needed subsequent laparotomy. The maximum period between admission and delayed laparotomy in these 6 patients was 17 hours. The mean length of hospital stay and the time of starting diet were 70.4 vs 43 hours and 42.3 vs 30.6 hours in the operative group and conservative group, respectively. P < .05 was considered significant. CONCLUSION: Our study showed that conservative management of asymptomatic and stable patients with anterior abdominal stab wound with physical examination can decrease the rate of normal laparotomy and the length of hospitalization and help to start diet earlier. This study made this hypothesis that after 17 hours of observation, diet can be started for the stable asymptomatic patients.