A Review of Sublingual Sufentanil Tablet (SST) and its Utility as an Analgesic Agent for Pain Procedures.

PURPOSE OF REVIEW: Sedation for pain medicine procedures provides a unique challenge for proceduralists. Many patients dealing with pain are on chronic opioids and require higher doses of sedation for adequate procedural comfort. Chronic pain patients have various comorbidities including depression, neuropsychiatric disorders, peripheral vascular disease, and renal impairment, among others [1]. These confounding variables make the overall treatment of their pain condition much more challenging. RECENT FINDINGS: For patients requiring intravenous (IV) sedation for their pain procedures, the constant need for access may render them a "difficult stick" over time. Another factor to consider is the increasing requirements by the hospital system needing IV sedatives and analgesics in the intensive care unit and operating rooms during the coronavirus (COVID-19) pandemic. Sublingual sufentanil (SST) provides an excellent analgesic option for patients undergoing interventional pain procedures. The use of SST allows hospitals to preserve IV agents for more critical areas and mitigates the difficulty of obtaining IV access in patients.

Primary Peritoneal Mesothelioma: Diagnostic Challenges of This Lethal Imposter.

Primary Peritoneal Mesothelioma is a rapidly aggressive and rare neoplasm that arises from the lining of mesothelial cells of the peritoneum and spreads extensively within the confines of the abdominal cavity. The pathogenesis of all forms of mesothelioma is strongly associated with industrial pollutants, of which asbestos is the principal carcinogen. Characteristically, asbestos exposure has a strong relationship with mesothelioma of the pleura, but the peritoneal cavity is the second most commonly affected site. Additionally, in contrast to pleural mesothelioma, which has a male predominance (male-female ratio of between four and five to one), women comprise approximately one-half of all cases of malignant peritoneal mesothelioma. A thorough history of occupational/paraoccupational exposure along with histopathology is the key to timely diagnosis and treatment.

Internal Hernia as a Cause of Acute Abdomen in a Pediatric Patient.

An acute abdomen is a complex case with multiple possible etiologies and requires the help of many different disciplines. We present the case of a two-year-old female who presented to the emergency department in acute distress, pale in complexion, and continuously guarding her abdomen. Physical examination revealed a distended, rigid abdomen with tenderness to palpation of the abdomen in all four quadrants. A computed tomography scan illustrated markedly dilated loops of small bowel but unclear etiology of obstruction with no evidence of perforation. Stat diagnostic laparotomy showed a strangulated internal hernia secondary to a congenital mesenteric defect. The mesenteric defect was repaired laparoscopically, and 25 cm of necrotic bowel was resected with an end-to-end anastomosis. Internal hernias secondary to mesenteric defects are the most common forms of internal hernias in pediatric patients and present with a 100% mortality rate if left untreated. This case illustrates the importance of a high index of suspicion, thorough physical examination, prompt diagnosis, and treatment in preventing a fatal outcome in these patients.

Unifying the Orthopaedic Surgery Residency Application Process Under a Single Accreditation System: A Primer.

In 2020, the Accreditation Council for Graduate Medical Education and the American Osteopathic Association will merge creating a single accreditation system for graduate medical education in the United States under the National Residency Match Program. The goal of this merger is to ensure nationwide consistency in purpose and practice of medical care in the United States, specifically in the context of residency education and training for the next generation of physicians. The proposed impact is still speculative since we do not know what lasting effects, if any, this merger will have on subspecialties such as orthopaedic surgery. There are many considerations that medical school advisors need to take into account when guiding their students applying to residency after the match merge. The newly unified accreditation system will pose additional competition, considering that there will be more applicants than spots available in competitive specialties, including orthopaedic surgery. These are important caveats to keep in mind as the residency application process is evolving actively. It is the authors' hope that concepts discussed in this article stimulate further discussion, catalyze research, and optimize the ability for students to succeed in the match process.

Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.

OBJECTIVE: The authors used a decision tree classifier to reduce neuropsychological, behavioral and laboratory measures to a subset of measures that best predicted whether an individual with alcohol use disorder (AUD) seeks treatment. METHOD: Clinical measures (N = 178) from 778 individuals with AUD were used to construct an alternating decision tree (ADT) with 10 measures that best classified individuals as treatment or not treatment-seeking for AUD. ADT's were validated by two methods: using cross-validation and an independent dataset (N = 236). For comparison, two other machine learning techniques were used as well as two linear models. RESULTS: The 10 measures in the ADT classifier were drinking behavior, depression and drinking-related psychological problems, as well as substance dependence. With cross-validation, the ADT classified 86% of individuals correctly. The ADT classified 78% of the independent dataset correctly. Only the simple logistic model was similar in accuracy; however, this model needed more than twice as many measures as ADT to classify at comparable accuracy. INTERPRETATION: While there has been emphasis on understanding differences between those with AUD and controls, it is also important to understand, within those with AUD, the features associated with clinically important outcomes. Since the majority of individuals with AUD do not receive treatment, it is important to understand the clinical features associated with treatment utilization; the ADT reported here correctly classified the majority of individuals with AUD with 10 clinically relevant measures, misclassifying < 7% of treatment seekers, while misclassifying 38% of non-treatment seekers. These individual clinically relevant measures can serve, potentially, as separate targets for treatment. FUNDING: Funding for this work was provided by the Intramural Research Programs of the National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institute on Drug Abuse (NIDA) and the Center for Information Technology (CIT). RESEARCH IN CONTEXT: Evidence Before This Study: Less than 10% of persons who meet lifetime criteria for Alcohol Use Disorder (AUD) receive treatment. As the etiology of AUD represents a complex interaction between neurobiological, social, environmental and psychological factors, low treatment utilization likely stems from barriers on multiple levels. Given this issue, it is important from both a research and clinical standpoint to determine what characteristics are associated with treatment utilization in addition to merely asking individuals if they wish to enter treatment. At the level of clinical research, if there are phenotypic differences between treatment and nontreatment-seekers that directly influence outcomes of early-phase studies, these phenotypic differences are a potential confound in assessing the utility of an experimental treatment for AUD. At the level of clinical practice, distinguishing between treatment- and nontreatment-seekers may help facilitate a targeted treatment approach. Previous efforts to understand the differences between these populations of individuals with AUD leveraged the multidimensional data collected in clinical research settings for AUD that are not well suited to traditional regression methods.Added Value of This Study: Alternating decision trees are well suited to deep-phenotyping data collected in clinical research settings as this approach handles nonparametric, skewed, and missing data whose relationships are nonlinear. This approach has proved to be superior in some cases to conventional clinical methods to solve diagnostic problems in medicine. We used a decision tree classifier to understand treatment- and non-treatment seeking group differences. The decision tree classifier approach chose a subset of factors arranged in an alternating decision tree that best predicts a given outcome. Assuming that the input measures are clinically relevant, the alternating decision tree that is generated has clinical value. Unlike other machine learning approaches, in addition to its predictive value, the nodes in the tree and their arrangement in a hierarchy have clinical utility. With the "if-then" logic of the tree, the clinician can learn what features become important and which recede in importance as the logic of the tree is followed. The decision tree classifier approach reduced 178 characterization measures (both categorical and continuous) in multiple domains to a decision tree comprised of 10 measures that together best classified subjects by treatment seeking status (yes/no).Implications After All the Available Evidence: We leveraged a large data set comprised of 178 clinical measures and using the decision tree approach, we have reduced these to a subset of 10 measures that accurately classified individuals with alcohol dependence by treatment utilization. From this analysis, drinking behavior variables and depression measures are strong treatment seeking predictors. Having identified a cluster of factors that predicts treatment seeking, we can assess the influence of these factors directly on the clinical study outcome measures themselves. In clinical practice these factors can be separate targets for treatment. In clinical research, the group differences my directly influence research outcomes for treatment of AUD.

Effect of alcohol use disorder on oxytocin peptide and receptor mRNA expression in human brain: A post-mortem case-control study.

Animal and human evidence supports a role for oxytocin in alcohol-seeking behaviors. There is interest, therefore, in targeting the oxytocin pathway as a new pharmacologic approach to treat alcohol use disorder. To this end, it is important to understand the effect of alcohol use disorder on endogenous oxytocin in brain regions that are relevant for the initiation and maintenance of alcohol use disorder. We examined human post-mortem brain tissue from males with alcohol use disorder (n=11) compared to nonalcohol dependent male controls (n=16). We a priori targeted five brain regions that in rodent studies, are projection areas for oxytocin neurons: nucleus accumbens, amygdala, hippocampus, ventral tegmental area and prefrontal cortex. Fold change in mRNA levels of oxytocin peptide and receptor were measured in each of the brain regions studied. Fold change for oxytocin peptide mRNA was significantly elevated in the prefrontal cortex of subjects with alcohol use disorder compared to controls (uncorrected p=0.0001; FDR-corrected p=0.001). For the entire sample of 27 subjects, there was a significant positive correlation between the fold change in oxytocin peptide mRNA in the prefrontal cortex and both daily alcohol intake (r2=0.38; p=0.002) and drinks per week (r2=0.24; p=0.02). Results are discussed in light of the previous animal and human literature on changes in the endogenous oxytocin system as an effect of chronic alcohol exposure.