A narrative review of new trends in the diagnosis of myofascial trigger points: diagnostic ultrasound imaging and biomarkers

Myofascial pain syndrome (MPS) is one of the most common conditions of chronic musculoskeletal pain encountered by primary healthcare practitioners on a daily basis. It is generally accepted amongst the broad profile of healthcare practitioners treating MPS that the presence of discrete, palpable and tender nodules within the muscle, known as myofascial trigger points (MTrP), is necessary to confirm the diagnosis of MPS. Manual palpation is currently the most common technique used to detect MTrP, however, previous research has shown that the reliability of manual palpation for detecting MTrP is poor, and in our opinion unacceptably poor, leading to inconsistent diagnosis of MPS and poor patient outcomes. There are currently no objective accepted diagnostic criteria for the clinical detection of MTrP, nor are there standardized diagnostic criteria for MPS. Two promising areas of research with potential for enhancing the diagnosis of MPS include the use of diagnostic ultrasound and biomarkers. Further research is needed to advance the development of composite diagnostic criteria employing ultrasound imaging, biomarker assessments and physical assessment to enhance the accuracy and objectivity of MTrP detection and diagnosis of chronic MPS disorder.     

Extent of intellectual, cognitive, and academic decline in adolescent traumatic brain injury

Pre-injury cognitive data are rarely available for review for individuals suffering from traumatic brain injury (TBI). Although pre-injury intelligence and academic scores may be available, particularly if an individual is learning-disabled (LD), data on specific cognitive abilities are unlikely to exist. We present neuropsychological data for a 15-year-old Caucasian female with a learning disability who was administered IQ testing 2 weeks prior to a significant TBI, as well as other measures of specific cognitive abilities (e.g. memory and perceptual-motor skills) throughout her education. Comparison of pre- and post-TBI data showed: (1) global and generally consistent decline in all cognitive areas and (2) relatively stable performance on tests of academic ability, supporting the validity of such test scores as estimates of premorbid intelligence.     

Periprosthetic Joint Infection Prediction via Machine Learning: Comprehensible Personalized Decision Support for Diagnosis

BackgroundThe criteria outlined in the International Consensus Meeting (ICM) in 2018, which were prespecified and fixed, have been commonly practiced by clinicians to diagnose periprosthetic joint infection (PJI). We developed a machine learning (ML) system for PJI diagnosis and compared it with the ICM scoring system to verify the feasibility of ML.MethodsWe designed an ensemble meta-learner, which combined 5 learning algorithms to achieve superior performance by optimizing their synergy. To increase the comprehensibility of ML, we developed an explanation generator that produces understandable explanations of individual predictions. We performed stratified 5-fold cross-validation on a cohort of 323 patients to compare the ML meta-learner with the ICM scoring system.ResultsCross-validation demonstrated ML’s superior predictive performance to that of the ICM scoring system for various metrics, including accuracy, precision, recall, F1 score, Matthews correlation coefficient, and area under receiver operating characteristic curve. Moreover, the case study showed that ML was capable of identifying personalized important features missing from ICM and providing interpretable decision support for individual diagnosis.ConclusionUnlike ICM, ML could construct adaptive diagnostic models from the available patient data instead of making diagnoses based on prespecified criteria. The experimental results suggest that ML is feasible and competitive for PJI diagnosis compared with the current widely used ICM scoring criteria. The adaptive ML models can serve as an auxiliary system to ICM for diagnosing PJI.     

Child and adolescent traumatic brain injury: correlates of injury severity

A record review focused on children and adolescents, with a history of traumatic brain injury, who were consecutively admitted to a brain injury clinic in which all new patients are psychiatrically evaluated. Significant correlates of severity of injury in the cognitive, education and communication domains of functioning included Performance IQ but not Verbal IQ nor standardized ratings of language or learning disability. Current organic personality syndrome OPS but not attention deficit hyperactivity disorder or oppositional defiant disorder conduct disorder diagnostic status was signifi cantly related to severity. In conclusion, the findings in this referred sample are similar to prospective studies indicating that Performance IQ appears sensitive in reflecting brain damage. The finding linking OPS to severity of injury is not surprising. This is because OPS is a diagnosis which is dependent on the clinician s judgment of the likelihood that the organic factor is etiologically related to a defined behavioural syndrome. The diagnosis therefore requires a clinical judgment that the threshold of severity of a presumed organic etiological factor has been reached.     

Lung Procurement for Transplantation: New Criteria for Lung Donor Selection

In Italy, like everywhere in the world, the organ shortage for transplantation is a real problem. It is well known that lung donors (LD) are particularly difficult to procure and that management of the organ do not care during the diagnosis of cerebral death represents a difficult challenge. In this context, the salvage of the so-called “marginal donors” may increase the pool of donors, favoring organ retrieval. To increase lung procurement, the intensivist must recognize “marginal donors,” optimizing organ selection and function. The aim of our study was to review LD procured in 2008, as identified by the unrestricted criteria, of the Nord Italian Transplant program Center (NITp). Particularly, the age and habits of donors and the presence of a parenchyma contusion were not sufficient per se to exclude donation. We revisited lung ventilation and monitoring modalities during cerebral death before retrieval. In 2008, the application of enlarged criteria for LD enabled us to collect 21 LD, namely 33% of all cerebral deaths, versus 13% in 2007. Seeking to maintain good gas exchange and lung function, we implemented a safe ventilation program avoided high peak pressures, and fluid therapy properly guided by the cardiac index and extravascular lung water index monitoring. Specific actions to improve LD procurement may help cope with the organ-donor shortage. Although our series was small, our results were encouraging; they underline the necessity to continuously review donor criteria and care, allowing good donor/recipient matching.     

Machine learning in clinical diagnosis,prognostication, and management of acute traumatic spinal cord injury (SCI): A systematic review

BackgroundMachine learning has been applied to improve diagnosis and prognostication of acute traumatic spinal cord injury. We investigate potential for clinical integration of machine learning in this patient population to navigate variability in injury and recovery.Materials and methodsWe performed a systematic review using PRISMA guidelines through PubMed database to identify studies that use machine learning algorithms for clinical application toward improvements in diagnosis, management, and predictive modeling.ResultsOf the 132 records identified, a total of 13 articles met inclusion criteria and were included in final analysis. Of the 13 articles, 5 focused on diagnostic accuracy and 8 were related to prognostication or management of traumatic spinal cord injury. Across studies, 1983 patients with spinal cord injury were evaluated with most classifying as ASIA C or D. Retrospective designs were used in 10 of 13 studies and 3 were prospective. Studies focused on MRI evaluation and segmentation for diagnostic accuracy and prognostication, investigation of mean arterial pressure in acute care and intraoperative settings, prediction of ambulatory and functional ability, chronic complication prevention, and psychological quality of life assessments. Decision tree, random forests (RF), support vector machines (SVM), hierarchical cluster tree analysis (HCTA), artificial neural networks (ANN), convolutional neural networks (CNN) machine learning subtypes were used.ConclusionsMachine learning represents a platform technology with clinical application in traumatic spinal cord injury diagnosis, prognostication, management, rehabilitation, and risk prevention of chronic complications and mental illness. SVM models showed improved accuracy when compared to other ML subtypes surveyed. Inherent variability across patients with SCI offers unique opportunity for ML and personalized medicine to drive desired outcomes and assess risks in this patient population.     

Guidelines for the Diagnosis and Treatment of Idiopathic Pulmonary Fibrosis

Idiopathic pulmonary fibrosis is defined as a chronic fibrosing interstitial pneumonia limited to the lung, of unknown cause, with poor prognosis and few treatment options. In recent years there has been an increase in their prevalence, probably due to the optimization of diagnostic methods and increased life expectancy. The ATS/ERS Consensus (2000) established the diagnostic criteria and recommendations for the assessment of the disease course and treatment. Later studies have helped to redefine diagnostic criteria and treatment options. In 2011, an international consensus was published, establishing diagnostic criteria and new treatment strategies. These guidelines have been updated with the newest aspects of diagnosis and treatment of idiopathic pulmonary fibrosis. A level of evidence has been identified for the most relevant questions, particularly with regard to treatment options.     

Establishing learning curves for surgical residents using Cumulative Summation (CUSUM) Analysis

BACKGROUND: The assessment of technical proficiency is of paramount importance in the training of surgical residents. The fact that technical proficiency is underrepresented in the context of the ACGME outcomes project is evidenced in that proficiency skills comprise less than 5% of all assessments that evaluate residents. In this study, we use Cumulative Summation Analysis (CUSUM) as a visual objective analytic tool to determine performance accuracy and establish learning curves for PGY-1s in surgery. METHODS: From April 2001 to May 2002, 11 surgical residents completed a 1-month anesthesia rotation. Each resident was asked to complete a preoperative airway assessment followed by endotracheal intubation with induction of anesthesia. Airway assessment was performed independently by a resident and a licensed anesthesiologist or certified anesthetist with the modified Mallampati Score. Data were sequentially collected and plotted for summated successes and failures. RESULTS: The average intern required approximately 19 intubation attempts to complete the learning curve experience. There was no learning curve for airway assessment. CONCLUSIONS: The CUSUM analysis is an effective objective tool to define learning curves for technical skills. Vital information is provided for surgical programs that place residents in positions to manage airways, and limitless potential for defining the learning curves for technical skills is provided.     

Could variations in technical skills acquisition in surgery be explained by differences in cortical plasticity?

SUMMARY/BACKGROUND: Variations in technical performance in surgery are known to exist but are poorly understood. Gaining an appreciation of these differences may have implications for technical skills training, assessment, and selection. Investigators attempting to correlate technical skill with visuospatial or perceptual tests have failed to identify surrogate markers of surgical aptitude. Evidence from unrelated fields suggests that studying brain function may advance our understanding of disparate technical performance in surgery. METHODS: A literature search was conducted to identify relevant studies assessing both motor skills learning and changes in brain function. RESULTS: The brain is dynamic and patterns of activation vary with experience and training, a property referred to as "neuroplasticity." Functional neuroimaging studies of complex nonsurgical skills have demonstrated smaller, more refined neuronal networks in experts compared with novices. Novel unrefined performance places a significant burden on generic areas of attention and control such as the anterior cingulate cortex and the prefrontal cortex (PFC). These regions are recruited less as skills are performed with increasing automaticity. Persistent PFC activation has been shown to herald poor bimanual coordination learning in studies involving nonsurgical tasks. CONCLUDING HYPOTHESIS: It is suspected that alterations in brain activation foci accompany a transition through phases of surgical skills learning and that those patterns of activation may vary according to technical ability. Validating this hypothesis is challenging because it requires studying brain function in ambulant subjects performing complex motor skills. In a surgical knot-tying study involving over 60 subjects of varying expertise, PFC activation was identified in novices but not in trained surgeons. Further work should aim to determine whether PFC activation attenuates in the context of learning success in surgery.     

Learning problems in neurofibromatosis patients

Learning problems in patients with neurofibromatosis (NF) are probably the most frequent characteristics after those that define the disorder. They are not secondary to the physical problems. A recent survey that compared children who have NF with their siblings revealed a 37% greater incidence of learning disabilities in the children with NF. Intelligence quotient (IQ) data from several studies indicate that almost all patients with NF have a normal IQ, but there is a progression from low normal to normal as these patients reach adulthood. The most common psychoeducational problems include visual-perceptual-motor delay, spelling and arithmetic disabilities, and a cluster of weaknesses related to cortical organization, similar to those seen in children with attention-deficit disorders. A type of learning disability unique to patients with NF has not been identified, and the diagnosis and treatment of the learning problems are generally the same as for children without NF.     

Bladder outlet obstruction in women: iatrogenic, anatomic, and neurogenic

This paper outlines the presentation, evaluation, and management of bladder outlet obstruction (BOO) in women as it relates to iatrogenic, anatomic, and neurogenic causes. Attention is given to the different diagnostic criteria used by various authors in their case series and studies. The lack of standardization with regard to the diagnosis of BOO in women emphasizes the fact that BOO is often a clinical diagnosis that is made by taking into account the history, physical examination, imaging of the lower urinary tract, and urodynamic pressure-flow parameters. Individual obstructive conditions including urethral stricture, postsurgical obstruction, primary bladder neck obstruction, pelvic organ prolapse, and neurogenic causes are addressed briefly.     

Imaging diagnosis of esophageal carcinoma by computed tomography and magnetic resonance imaging

The staging diagnosis of esophageal carcinoma is important to determine therapeutic modalities and to predict prognosis. The current status of imaging diagnosis of tumor invasion to the adjacent organs and lymph node metastasis is described. The diagnostic criteria used to determine tumor invasion to the adjacent or gans by computed tomography (CT) and magnetic resonance imaging(MRI) are displacement and compression deformity of the tracheobronchial tree and obliteration of the periaortic fat plane over more than 90 degrees of the aortic circumference. Detection of the fat plane between the esophagus and the aorta supported by density profile analyzing software on CT may enable the diagnosis of invasion. Cine-MRI imaging is also useful to obtain dynamic information on the tumor and aorta. Tumor invasion to the aortic wall can be excluded when a low-intensity stripe is recognized between the tumor and the aortic wall. Although the criterion for lymph node metastasis on CT is 10 mm or more in long transverse diameter, the diagnostic accuracy is poor. The accuracy improves when imaging patterns such as heterogeneous internal structures in the enhanced lymph nodes and/or hyperenhancement in the lymph nodes in the early phase by dynamic study are added to the diagnostic criteria. However, small metastatic lymph node remain undetected and it is difficult to diagnose negative lymph node metastasis properly on CT and MRI. It is important to have full knowledge of the advantages and limitations of each imaging modality and to obtain objective information form them.     

Diagnostic criteria for atypical hemolytic uremic syndrome proposed by the joint committee of the Japanese society of nephrology and the Japan pediatric society

Atypical hemolytic uremic syndrome (aHUS) is rare and comprises the triad of microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury. Recently, abnormalities in the mechanisms underlying complement regulation have been focused upon as causes of aHUS. The prognosis for patients who present with aHUS is very poor, with the first aHUS attack being associated with a mortality rate of ~25 %, and with ~50 % of cases resulting in end-stage renal disease requiring dialysis. If treatment is delayed, there is a high risk of this syndrome progressing to renal failure. Therefore, we have developed diagnostic criteria for aHUS to enable its early diagnosis and to facilitate the timely initiation of appropriate treatment. We hope these diagnostic criteria will be disseminated to as many clinicians as possible and that they will be used widely.     

Presentation and surgical management of a superficial temporal artery pseudoaneurysm: A case report

Introduction and ImportanceA Superficial Temporal Artery Pseudoaneurysm is an uncommon, but important, differential diagnosis for masses in the head and neck region.This work has been reported in line with SCARE 2020 criteria [1].Case PresentationAn 81-year-old male presented to the Oral and Maxillofacial Department with a facial swelling that had been present for a duration of three weeks. A provisional diagnosis of a haematoma was made and an ultrasound carried out to confirm diagnosis. Ultrasonography and CT Angiography confirmed a pseudoaneurysm arising from the left superficial temporal artery.Clinical DiscussionAlthough this is a relatively uncommon diagnosis it is important to be aware of the key diagnostic tools used to identify a pseudoaneurysm. Specifically, their potential to exclude a pseudoaneurysm prior to diagnosing a simple post-traumatic haematoma. This is important as the treatment strategies for the two pathologies differ considerably. Useful learning points from this case include diagnostic aids such as the unique pulsatile nature of the mass and the role of ultrasonography and CT Angiography in confirming diagnosis and guiding surgical management.ConclusionPseudoaneurysms are an important consideration as a differential diagnosis of masses in the head and neck region. This case report may impact upon management of future similar cases by highlighting significant aspects of their clinical diagnosis and surgical management, enabling early identification and appropriate management.     

Surgical laboratory in pregraduate medicine

Surgical laboratory in pregraduate students in medicine is beneficial and improves learning processes in cognitive aspects and skills acquisition. It is also an early initiation into scientific research. The laboratory is the introductory pathway into basic concepts of medical science (meaningful learning). It is also where students gain knowledge in procedures and abilities to obtain professional skills, an interactive teacher-student process. Medicine works rapidly to change from an art to a science. This fact compromises all schools and medical faculties to analyze their actual lesson plans. Simulators give students confidence and ability and save time, money and resources, eliminating at the same time the ethical factor of using live animals and the fear of patient safety. Multimedia programs may give a cognitive context evolving logically with an explanation based on written and visual animation followed by a clinical problem and its demonstration in a simulator, all before applying knowledge to the patient.     

Robotic surgery: review of the latest advances, risks, and outcomes

Using differing levels of evidence, we developed criteria to critically review 21 scientifically peer-reviewed articles on robot-assisted surgeries in various medical fields. The advantages and limitations of robotic systems are discussed and compared with traditional surgical methods. Since training in the use of robotic skills is essential, various training models are discussed to teach the complex skills necessary for robotic surgery. There is a paucity of control studies on a sufficient number of subjects in robot-assisted surgeries in all fields. Studies that meet more stringent clinical trials criteria show that robot-assisted surgery appears comparable to traditional surgery in terms of feasibility and outcomes but that costs associated with robot-assisted surgery are higher because of longer operating times and expense of equipment. While a limited number of studies on the da Vinci robotic system have proven the benefit of this approach in regard to patient outcomes, including significantly reduced blood loss, lower percentage of postoperative complications, and shorter hospital stays, there are mechanical and institutional risks that must be more fully addressed. In addition, trials are needed to identify simulators for learners that can enhance the da Vinci performance in order to shorten the learning curve.     

Variations in the Use of Diagnostic Criteria for Developmental Dysplasia of the Hip

Background

Wide variation exists in reported prevalence estimates and management standards of developmental dysplasia of the hip (DDH). Discrepancies in diagnosticians’ opinions may explain some of this variation.

Questions/purposes

We sought to determine (1) the consistency with which pediatric orthopaedic surgeons rate the importance of diagnostic criteria for DDH, and (2) whether there were geographic differences in how the diagnostic criteria were rated by surgeons.

Methods

One hundred ninety-seven of 220 members of the European Paediatric Orthopaedic Society and 100 of 148 members of the British Society of Children’s Orthopaedic Surgery treating children with DDH participated in this cross-sectional study across 35 countries (15 regions). Each rated 37 items in four domains that specialists previously had identified as the most important features associated with DDH in early infancy. We determined consistency using the intraclass correlation coefficient (ICC; two-way random-effects model) interpreted as poor (0–0.40), acceptable (0.41–0.74), or good (≥ 0.75).

Results

Poor consistency among surgeons was found in rating the 37 diagnostic criteria (ICC, 0.33; 95% CI, 0.24–0.45). Consistency was poor for three domains (patient characteristics/history: ICC, 0.29; 95% CI, 0.16–0.58; ultrasound: ICC, 0.26; 95% CI, 0.14–0.52; radiography: ICC, 0.34; 95% CI, 0.12–0.95) and acceptable for one (clinical examination: ICC, 0.50; 95% CI, 0.33–0.73). Surgeons in particular regions appeared to have a concept of DDH diagnosis that distinguished them from specialists of other regions; consistency in eight regions was greater (ICC ≥ 0.40) than consistency among all 15 regions.

Conclusions

The consistency of specialists in rating diagnostic criteria for DDH was lower than expected, and there was considerable geographic variation in terms of how specialists assigned importance ratings of the diagnostic criteria; these findings are somewhat counterintuitive, given the frequency with which this condition is diagnosed. These inconsistencies could explain, partly, the widely differing prevalence estimates and management standards of DDH.     

Usefulness of Known Computed Tomography and Clinical Criteria for Diagnosing Strangulation in Small-Bowel Obstruction: Analysis of True and False Interpretation Groups in Computed Tomography

Computed tomography (CT) criteria have proven useful, but not sufficient, for diagnosis of bowel strangulation. The purpose of the present study was to evaluate the useof clinical criteria in the interpretation of CT scans as a means of improving the diagnostic accuracy of CT, especially in patients whose CT scans are equivocal for distinguishing simple obstruction from strangulated obstruction. We analyzed the CT scans of 136 patients with simple (n = 70) or strangulated (n = 66) small-bowel obstruction. Three radiologists interpreted the CT scans independently for the presence of intestinal strangulation. According to their interpretation, 136 patients were divided into two groups, i.e., a false and a true interpretation group. The diagnostic value of known CT and four clinical criteria (tenderness, tachycardia, fever, and leukocytosis) were compared in the two groups. The diagnostic accuracy of CT criteria for distinguishing simple obstructions from strangulated small-bowel obstructions ranged between 73% and 80%. Of the 136 patients, 31 belonged to the false group and 105 to the true group. The CT criteria that were highly specific in both groups included severe mesenteric haziness, serrated beak, and poor bowel wall enhancement. Among the clinical criteria, both tachycardia and leukocytosis were highly specific in both groups. The number of positive clinical criteria was helpful in making a diagnosis; none or one clinical criterion indicated a simple obstruction, whereas three or four criteria indicated a strangulated obstruction; when this result was applied retrospectively to the false group, the CT diagnostic accuracy improved in 19 of the 31 patients. The use of clinical criteria when CT findings are equivocal, may overcome the inherent limitations of CT for diagnosing strangulated small-bowel obstruction.     

Infarktbedingter kardiogener Schock

Cardiogenic shock is the most frequent cause of death in cases of acute myocardial infarction. The mortality rate is 50–80%. Cardiogenic shock is characterized by critical reduction of cardiac pumping capacity with hypoperfusion and inadequate oxygen supply to the peripheral organs. The diagnosis of “cardiogenic shock due to infarction” is reached based on clinical and hemodynamic criteria. Rapid initiation of diagnostic and therapeutic measures can have a positive effect on the deathly spiral of cardiogenic shock. In this context, prompt reperfusion of the infarcted artery and effective hemodynamic stabilization with drug therapy are important.