Missed foot fractures in multiple trauma patients

Influencing factors for delayed diagnosed injuries in multiple trauma patients - introducing the 'Risk for Delayed Diagnoses Score' (RIDD-Score)

PURPOSE

Delayed diagnosed injuries (DDI) in severely injured patients are an essential problem faced by emergency staff. Aim of the current study was to analyse incidence and type of DDI in a large trauma cohort. Furthermore, factors predicting DDI were investigated to create a score to identify patients at risk for DDI.

METHODS

Multiply injured patients admitted between 2011 and 2020 and documented in the TraumaRegister DGU® were analysed. Primary admitted patients with severe injuries and/or intensive care who survived at least 24 h were included. The prevalence, type and severity of DDI were described. Through multivariate logistic regression analysis, risk factors for DDI were identified. Results were used to create a 'Risk for Delayed Diagnoses' (RIDD) score.

RESULTS

Of 99,754 multiply injured patients, 9,175 (9.2%) had 13,226 injuries first diagnosed on ICU. Most common DDI were head injuries (35.8%), extremity injuries (33.3%) and thoracic injuries (19.7%). Patients with DDI had a higher ISS, were more frequently unconscious, in shock, required more blood transfusions, and stayed longer on ICU and in hospital. Multivariate analysis identified seven factors indicating a higher risk for DDI (OR from 1.2 to 1.9). The sum of these factors gives the RIDD score, which expresses the individual risk for a DDI ranging from 3.6% (0 points) to 24.8% (6 + points).

CONCLUSION

DDI are present in a sounding number of trauma patients. The reported results highlight the importance of a highly suspicious and thorough physical examination in the trauma room. The introduced RIDD score might help to identify patients at high risk for DDI. A tertiary survey should be implemented to minimise delayed diagnosed or even missed injuries.

Robust Multi-View Fracture Detection in the Presence of Other Abnormalities Using HAMIL-Net

INTRODUCTION

Foot and ankle fractures are the most common military health problem. Automated diagnosis can save time and personnel. It is crucial to distinguish fractures not only from normal healthy cases, but also robust against the presence of other orthopedic pathologies. Artificial intelligence (AI) deep learning has been shown to be promising. Previously, we have developed HAMIL-Net to automatically detect orthopedic injuries for upper extremity injuries. In this research, we investigated the performance of HAMIL-Net for detecting foot and ankle fractures in the presence of other abnormalities.

MATERIALS AND METHODS

HAMIL-Net is a novel deep neural network consisting of a hierarchical attention layer followed by a multiple-instance learning layer. The design allowed it to deal with imaging studies with multiple views. We used 148K musculoskeletal imaging studies for 51K Veterans at VA San Diego in the past 20 years to create datasets for this research. We annotated each study by a semi-automated pipeline leveraging radiology reports written by board-certified radiologists and extracting findings with a natural language processing tool and manually validated the annotations.

RESULTS

HAMIL-Net can be trained with study-level, multiple-view examples, and detect foot and ankle fractures with a 0.87 area under the receiver operational curve, but the performance dropped when tested by cases including other abnormalities. By integrating a fracture specialized model with one that detecting a broad range of abnormalities, HAMIL-Net's accuracy of detecting any abnormality improved from 0.53 to 0.77 and F-score from 0.46 to 0.86. We also reported HAMIL-Net's performance under different study types including for young (age 18-35) patients.

CONCLUSIONS

Automated fracture detection is promising but to be deployed in clinical use, presence of other abnormalities must be considered to deliver its full benefit. Our results with HAMIL-Net showed that considering other abnormalities improved fracture detection and allowed for incidental findings of other musculoskeletal abnormalities pertinent or superimposed on fractures.

Analysis of Missed Skeletal Injuries Detected Using Whole-Body Bone Scan Applied to Trauma Patients: A Case-Control Study

(1) Background: Skeletal injuries may be missed in patients presenting multiple traumas during initial assessment. A whole-body bone scan (WBBS) may aid the detection of missed skeletal injuries, but the current level of research in this regard is insufficient. Thus, this study aimed to investigate whether a WBBS is useful for the detection of missed skeletal injuries in patients with multiple traumas. (2) Methods: This retrospective, single-region, trauma center study was conducted at a tertiary referral center from January 2015 to May 2019. The rate of missed skeletal injuries detected via WBBSs was evaluated, and factors that could influence the outcome were analyzed and divided into missed and not-missed groups. (3) Results: A total of 1658 patients with multiple traumas who underwent WBBSs were reviewed. In the missed group, the percentage of cases with an Injury Severity Score (ISS) ≥ 16 was higher than the not-missed group (74.66% vs. 45.50%). The rate of admission route through surgery and embolization was high in the missed group. Moreover, the proportion of patients that experienced shock in the missed group was higher than that in the not-missed group (19.86% vs. 3.51%). In univariate analysis, ISS ≥ 16, admission route through surgery and embolization, orthopedic surgery involvement, and shock were related to missed skeletal injuries. ISS ≥ 16 was determined to be statistically significant in multivariate analysis. Additionally, a nomogram was constructed based on multivariable analysis. (4) Conclusions: Missed skeletal injuries were significantly associated with several statistical factors, and a WBBS can be used as a screening method to detect missed skeletal injuries in patients with multiple blunt traumas.

Prevalence of Missed Injuries in Multiple Trauma Patients at a Level-1 Trauma Center in Saudi Arabia

Background Missed injuries are defined as injuries neither detected in the emergency department (ED) nor after admission to the hospital. The objective of this research was to identify missed injury rates, contributing factors, and clinical outcomes. Methods A total of 657 trauma patients' records were retrospectively reviewed after admission to King Abdulaziz Medical City (KAMC) during the period from January 2016 to December 2018. Patients' demographic characteristics, presence of a missed injury, and Glasgow Coma Scale (GCS), Revised Trauma Score (RTS), and Injury Severity Score (ISS) were assessed. Results Among 657 patients who were admitted to our emergency department, only 11 (1.7%) patients were reported to have a missed injury during the hospital stay. None of those missed injuries contributed to the overall mortality. Higher GCS is a protective factor for missed injury with OR=0.12-0.81 and p-value=0.01. RTS and intensive care unit (ICU) stays were borderline although p-value=0.05 and OR=9 for RTS. Both longer ICU stays and high RTS were related to a higher risk of missed injury. Conclusion In our study, the prevalence of missed injuries was on the lower end of the spectrum in comparison to multiple published data. The most common missed injuries were fractures and joint dislocations of extremities. None of those missed injuries were life-threatening or contributed to overall mortality. Higher GCS was a protective factor against missed injuries while high RTS and longer ICU stays were related to a higher likelihood of developing missed injuries during the hospital course.

Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence

Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on diagnostic performances of physicians for fractures on radiographs. Materials and Methods This retrospective diagnostic study used the multi-reader, multi-case methodology based on an external multicenter data set of 480 examinations with at least 60 examinations per body region (foot and ankle, knee and leg, hip and pelvis, hand and wrist, elbow and arm, shoulder and clavicle, rib cage, and thoracolumbar spine) between July 2020 and January 2021. Fracture prevalence was set at 50%. The ground truth was determined by two musculoskeletal radiologists, with discrepancies solved by a third. Twenty-four readers (radiologists, orthopedists, emergency physicians, physician assistants, rheumatologists, family physicians) were presented the whole validation data set (n = 480), with and without AI assistance, with a 1-month minimum washout period. The primary analysis had to demonstrate superiority of sensitivity per patient and the noninferiority of specificity per patient at -3% margin with AI aid. Stand-alone AI performance was also assessed using receiver operating characteristic curves. Results A total of 480 patients were included (mean age, 59 years ± 16 [standard deviation]; 327 women). The sensitivity per patient was 10.4% higher (95% CI: 6.9, 13.9; P < .001 for superiority) with AI aid (4331 of 5760 readings, 75.2%) than without AI (3732 of 5760 readings, 64.8%). The specificity per patient with AI aid (5504 of 5760 readings, 95.6%) was noninferior to that without AI aid (5217 of 5760 readings, 90.6%), with a difference of +5.0% (95% CI: +2.0, +8.0; P = .001 for noninferiority). AI shortened the average reading time by 6.3 seconds per examination (95% CI: -12.5, -0.1; P = .046). The sensitivity by patient gain was significant in all regions (+8.0% to +16.2%; P < .05) but shoulder and clavicle and spine (+4.2% and +2.6%; P = .12 and .52). Conclusion AI assistance improved the sensitivity and may even improve the specificity of fracture detection by radiologists and nonradiologists, without lengthening reading time. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Link and Pedoia in this issue.

Motor Vehicle Accident during Pregnancy with Two Lifes at Risk: A Case Report

Introduction:

Major trauma is the leading non-pregnancy-related cause of maternal and fetal deaths. In particular, traffic accidents account for the majority of accident causes and present the highest mortality for the mother and fetus. Seat belt use has reduced mortality rates for both the mother and the unborn child, however, certain potential patterns of injury occur due to the restraining mechanical forces of the worn seat belts on the body. Since life-threatening injuries in pregnancy are nevertheless rare, trauma care of pregnant women continues to be an exceptional situation and a particularly stressful situation for the attending physicians, including the fact that two lives are potentially at stake.

Case Report:

In this article, we report on a patient in the 37th week of pregnancy who was involved in a high-speed trauma as a front passenger of a car. Initially awake as well as responsive and hemodynamically stable, the patient’s condition deteriorated on the way to the emergency room (ER). On arrival in the ER, according to the Advanced Trauma Life Support concept, interdisciplinary consensus had to be reached between the departments involved regarding further diagnostic and therapeutic procedures. With the knowledge of the special anatomical and physiological changes in the context of pregnancy, both the mother and the child could be stabilized in order to subsequently gain further important information about the present injury pattern during the performed diagnostics and finally to be able to adequately treat the trauma sequelae.

Conclusion:

Because the care of traumatic life-threatening injuries in pregnancy is rare overall, it poses a special challenge for the attending trauma team in the ER. In order to avert the fatal fate of both the mother and the unborn child, a structured, symptom and patient-oriented interdisciplinary approach is indispensable, especially in these exceptional situations, in order to achieve the best possible outcome for those affected.

Effect of ω-3PUFA-containing early enteral nutrition on energy intake, blood glucose fluctuation, immune status, and clinical outcome in patients with severe multiple injuries

BACKGROUND

Patients with severe multiple injuries are in a high metabolic state and are prone to malnutrition. Early enteral nutrition is particularly important. Omega-3 polyunsaturated fatty acids (ω-3 PUFA) can provide energy for the body, possibly by regulating the immune status, energy metabolism, and blood sugar levels of patients with severe multiple injuries to improve the clinical outcome.

AIM

To investigate the effect of ω-3 PUFA-containing early enteral nutrition on energy intake, blood glucose fluctuations, immune status, and clinical outcomes in patients with severe multiple injuries.

METHODS

Eighty-two patients with severe multiple injuries treated at our hospital from February 2019 to February 2021 were randomly and equally divided into a study group and a control group. The control group was given conventional early enteral nutrition and the study group was given ω-3 PUFA-containing early enteral nutrition for 7 d. Serum nutritional indexes [prealbumin (PA), albumin (ALB), and total protein (TP)] and inflammatory indexes [C-reactive protein (CRP), white blood cell count (WBC), and tumor necrosis factor (TNF-α)], immune indexes [immunoglobulin M (IgM), immunoglobulin A (IGA), immunoglobulin G (IgG), CD4+/CD8+], fasting blood glucose (FPG), mean amplitude of glycemic excursions (MAGE), and energy and protein intake were compared between the two groups 5 and 7 d after treatment, and clinical outcomes were recorded.

RESULTS

Serum levels of PA, ALB, and TP in the study group were significantly higher than those in the control group after 5 and 7 d of treatment (P < 0.05). Serum CRP, WBC, and TNF-α levels of the study group were significantly lower than those of the control group after 5 and 7 d of treatment, and serum IgM, IgA, IgG, and CD4⁺/CD8⁺ levels were significantly higher than those of the control group (P < 0.05). The FPG and MAGE levels of the study group were significantly lower than those of the control group after 5 and 7 d of treatment, and the energy and protein intakes were higher than those of the control group (P < 0.05). The incidence of MOF and SIRS in the study group were lower than those in the control group, and the total hospital stay was shorter than that in the control group (P < 0.05).

CONCLUSION

ω-3 PUFA-containing early enteral nutrition can reduce the inflammatory response, increase energy and protein intake, improve the immune status and nutritional status, reduce blood glucose fluctuations, decrease the incidence of MOF and SIRS, and accelerate the recovery process in patients with severe multiple injuries .

Foot fractures and complex trauma of the foot: a case series

Foot fractures are common injuries. This retrospective study evaluates their frequency, incidence, treatment and outcomes with emphasis on complex trauma of the foot (CTF), an injury that affects soft tissue as well as bone. From 2005 to 2015, 506 patients with foot fractures were treated at our institution; of these, 27 had CTF. The Zwipp score was applied to diagnose CTF, the Gustilo-Anderson classification to grade open fractures and the Tscherne classification to grade closed fractures. Twelve months after the trauma, 20 CTF patients underwent the final X-ray assessment and clinical evaluation with the Visual Analogue Scale Foot and Ankle (VASFA), the Foot Function Index (FFI) and the 12-Item Short Form Survey (SF-12). Data were analyzed with the Spearman rank correlation test. The forefoot was the most frequently involved compartment both in patients with foot fracture and in those with CTF. At 12-month follow-up, the CTF patients showed a VASFA score of 51.5, an FFI of 47.5 and SF-12 scores of 37.9 (physical component summary) and 45.2 (mental component summary). The VASFA score and the FFI showed a significant correlation (rs = 0.84; p = 0.001). CTF is the cause of considerable residual disability and deeply affects quality of life.

Acromioclavicular and sternoclavicular joint dislocations indicate severe concomitant thoracic and upper extremity injuries in severely injured patients

Preliminary studies show that clavicle fractures (CF) are known as an indicator in the severely injured for overall injury severity that are associated with relevant concomitant injuries in the thorax and upper extremity. In this regard, little data is available for the rarer injuries of the sternoclavicular and acromioclavicular joints (SCJ and ACJ, respectively). Our study will answer whether clavicular joint injuries (CJI), by analogy, have a similar relevance for the severely injured. We performed an analysis from the TraumaRegister DGU (TR-DGU). The inclusion criterion was an Injury Severity Score (ISS) of at least 16. In the TR-DGU, the CJI were registered as one entity. The CJI group was compared with the CF and control groups (those without any clavicular injuries). Concomitant injuries were distinguished using the Abbreviated Injury Scale according to their severity. The inclusion criteria were met by n = 114,595 patients. In the case of CJI, n = 1228 patients (1.1%) were found to be less severely injured than the controls in terms of overall injury severity. Compared to the CF group (n = 12,030; 10.5%) with higher ISS than the controls, CJI cannot be assumed as an indicator for a more severe trauma; however, CF can. Concomitant injuries were more common for severe thoracic and moderate upper extremity injuries than other body parts for CJI. This finding confirms our hypothesis that CJI could be an indicator of further specific severe concomitant injuries. Despite the rather lower relevance of the CJI in the cohort of severely injured with regard to the overall injury severity, these injuries have their importance in relation to the indicator effect for thoracic concomitant injuries and concomitant injuries of the upper extremity. A limitation is the collective registration of SCJ and ACJ injuries as one entity in the TR-DGU. A distorted picture of the CJI in favor of ACJ injuries could arise from the significantly higher incidence of the ACJ dislocation compared to the SCJ. Therefore, these two injury entities should be recorded separately in the future, and prospective studies should be carried out in order to derive a standardized treatment strategy for the care of severely injured with the respective CJI.

HALLUX PROXIMAL PHALANX FRACTURE IN ADULTS: AN OVERLOOKED DIAGNOSIS

Objectives:

To describe the surgical treatment of fractures that involves the hallux interphalangeal joint, current indications and management options.

Methods:

we performed a literature review of relevant clinical studies in multiple databases, including PubMed, MedLine and Scopus, from January 1989 to October 2020.

Results:

There is consensus for surgical treatment of intra-articular fractures with a deviation greater than 2 mm, metadiaphyseal fractures with malrotation and/or malangulation, open fractures and unstable fractures.

Conclusion:

The use of more rigid implants allow alignment maintenance during healing process and lower risk of reduction loss. Valgus deformity and interphalangeal joint osteoarthritis are possible complications that must be avoided. Level of Evidence III, Systematic review of Level III studies.