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Introduction The objective of this study was to identify preoperative characteristics associated with worse Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference (PI) two years after shoulder surgery. Methods This was a retrospective analysis of prospectively collected data on 293 patients who underwent elective shoulder surgery. Survey questionnaires were collected within one week of surgery and then two years postoperatively. Bivariate analysis was used to identify associations and multivariable analysis was used to control for confounding variables. Results Worse two-year PROMIS PI was significantly correlated with older age, higher BMI, greater comorbidities, more prior surgeries, and multiple socio-demographic factors. Less improvement in PROMIS PI was significantly correlated with greater comorbidities, more previous surgeries, unemployment, prior orthopaedic surgery on the operative joint, and a higher American Society of Anesthesiologists (ASA) score. Better scores on all preoperative patient-reported outcome measures correlated with better two-year PROMIS PI. Multivariable analysis demonstrated that worse two-year PROMIS PI was independently predicted by the following preoperative factors: Workers’ Compensation claim, opioid use, worse whole body Numeric Pain Score, and worse PROMIS PI. Less improvement in two-year PROMIS PI was predicted by the same preoperative factors. Conclusion Worse PROMIS PI after shoulder surgery was associated with older age, greater comorbidities, mental health impairment, and lower socioeconomic status. Preoperative predictors of worse pain interference two years after shoulder surgery included Workers’ Compensation, opioid use, worse whole body pain, and worse PROMIS PI. Level of evidence III.

Objective We have shown that almost 50% of patients with asymptomatic carotid stenosis (ACS) will demonstrate cognitive impairment. Recent evidence has suggested that cerebral hypoperfusion is an important cause of cognitive impairment. Carotid stenosis can restrict blood flow to the brain, with consequent cerebral hypoperfusion. In contrast, cross-hemispheric collateral compensation through the Circle of Willis, and cerebrovascular vasodilation can also mitigate the effects of flow restriction. It is, therefore, critical to develop a clinically relevant measure of net brain perfusion in patients with ACS that could help in risk stratification and in determining the appropriate treatment. To determine whether ACS results in cerebral hypoperfusion, we developed a novel approach to quantify interhemispheric cerebral perfusion differences, measured as the time to peak (TTP) and mean transit time (MTT) delays using perfusion-weighted magnetic resonance imaging (PWI) of the whole brain. To evaluate the utility of using clinical duplex ultrasonography (DUS) to infer brain perfusion, we also assessed the relationship between the PWI findings and ultrasound-based peak systolic velocity (PSV). Methods Structural and PWI of the brain and magnetic resonance angiography of the carotid arteries were performed in 20 patients with ≥70% ACS. DUS provided the PSV, and magnetic resonance angiography provided plaque geometric measures at the stenosis. Volumetric perfusion maps of the entire brain from PWI were analyzed to obtain the mean interhemispheric differences for the TTP and MTT delays. In addition, the proportion of brain volume that demonstrated a delay in TTP and MTT was also measured. These proportions were measured for increasing severity of perfusion delays (0.5, 1.0, and 2.0 seconds). Finally, perfusion asymmetries on PWI were correlated with the PSV and stenosis features on DUS using Pearson's correlation coefficients. Results Of the 20 patients, 18 had unilateral stenosis (8 right and 10 left) and 2 had bilateral stenoses. The interhemispheric (left–right) TTP delays measured for the whole brain volume identified impaired perfusion in the hemisphere ipsilateral to the stenosis in 16 of the 18 patients. More than 45% of the patients had had ischemia in at least one half of their brain volume, with a TTP delay >0.5 second. The TTP and MTT delays showed strong correlations with PSV. In contrast, the correlations with the percentage of stenosis were weaker. The correlations for the PSV were strongest with the perfusion deficits (TTP and MTT delays) measured for the whole brain using our proposed algorithm (r = 0.80 and r = 0.74, respectively) rather than when measured on a single magnetic resonance angiography slice as performed in current clinical protocols (r = 0.31 and r = 0.58, respectively). Conclusions Interhemispheric TTP and MTT delay measured for the whole brain using PWI has provided a new tool for assessing cerebral perfusion deficits in patients with ACS. Carotid stenosis was associated with a detectable reduction in ipsilateral brain perfusion compared with the opposite hemisphere in >80% of patients. The PSV measured at the carotid stenosis using ultrasonography correlated with TTP and MTT delays and might serve as a clinically useful surrogate to brain hypoperfusion in these patients.

The current risk assessment for patients with carotid atherosclerosis relies primarily on measuring the degree of stenosis. More reliable risk stratification could improve patient selection for targeted treatment. We have developed and validated a model to predict for major adverse neurologic events (MANE; stroke, transient ischemic attack, amaurosis fugax) that incorporates a combination of plaque morphology, patient demographics, and patient clinical information.We enrolled 221 patients with asymptomatic carotid stenosis of any severity who had undergone computed tomography angiography at baseline and ≥6 months later. The images were analyzed for carotid plaque morphology (plaque geometry and tissue composition). The data were partitioned into training and validation cohorts. Of the 221 patients, 190 had complete records available and were included in the present analysis. The training cohort was used to develop the best model for predicting MANE, incorporating the patient and plaque features. First, single-variable correlation and unsupervised clustering were performed. Next, several multivariable models were implemented for the response variable of MANE. The best model was selected by optimizing the area under the receiver operating characteristic curve (AUC) and Cohen's kappa statistic. The model was validated using the sequestered data to demonstrate generalizability.A total of 62 patients had experienced a MANE during follow-up. Unsupervised clustering of the patient and plaque features identified single-variable predictors of MANE. Multivariable predictive modeling showed that a combination of the plaque features at baseline (matrix, intraplaque hemorrhage [IPH], wall thickness, plaque burden) with the clinical features (age, body mass index, lipid levels) best predicted for MANE (AUC, 0.79), In contrast, the percent diameter stenosis performed the worst (AUC, 0.55). The strongest single variable for discriminating between patients with and without MANE was IPH, and the most predictive model was produced when IPH was considered with wall remodeling. The selected model also performed well for the validation dataset (AUC, 0.64) and maintained superiority compared with percent diameter stenosis (AUC, 0.49).A composite of plaque geometry, plaque tissue composition, patient demographics, and clinical information predicted for MANE better than did the traditionally used degree of stenosis alone for those with carotid atherosclerosis. Implementing this predictive model in the clinical setting could help identify patients at high risk of MANE.

Objectives: Infrapopliteal arterial pseudoaneurysms (IAP) following blunt trauma with associated orthopedic injuries are uncommon, often present in a delayed fashion, and encompass a diagnostic and therapeutic dilemma. Herein, we present a series of IAPs that were diagnosed following blunt trauma and their management. Methods: Case series consisting of 3 patients and a review of the international literature. Results: Our case series included 3 patients presenting with IAPs following blunt trauma with associated orthopedic injuries. They were all identified in a delayed manner (>3 weeks) after the orthopedic injuries were treated. All patients presented with pain and a pulsatile mass while one concurrently had neurologic deficits. The pseudoaneurysms were diagnosed by duplex ultrasound and confirmed by angiography to be originating from the tibioperoneal trunk, anterior tibial, and posterior tibial arteries respectively. Two patients were treated with surgical excision. Of these, one required an arterial bypass procedure while the other underwent direct ligation only. The third patient was treated by endovascular coiling. A literature review from 1950 to the present found 51 reported cases of IAP resulting from blunt trauma. Ninety percent of trauma-related infrapopliteal injuries occurred in men with a mean delay in diagnosis of 5.6 months (median 1.8 months) after injury. Since 1950, management has shifted from primarily ligation to incorporating minimally invasive endovascular techniques when appropriate. Conclusions: Infrapopliteal artery pseudoaneurysms are rare following blunt skeletal trauma. A delay in diagnosis often occurs and can result in major morbidity and extensive surgical intervention. We recommend a high index of suspicion and a thorough vascular examination in patients with lower extremity skeletal trauma to help identify and treat these injuries early and effectively.

Objectives: Assessment of carotid disease is most commonly performed with duplex ultrasonography (DUS). Measures of plaque area and tissue composition from DUS images may identify patients at risk for future neurologic events, and may assess the effects of vascular risk-factor modification (by measuring change in plaque area and/or tissue constituents). We quantified plaque area and tissue constituents from DUS images of CREST-2 participants at baseline and correlated them with their baseline vascular risk factors. Methods: CREST-2 consists of two multicenter, randomized trials in patients with asymptomatic ≥70% carotid stenosis comparing intensive medical management (IMM) plus endarterectomy or stenting vs IMM alone. Baseline B-mode DUS images from 500 patients underwent manual plaque outlining and automatic pixel brightness assessment. Plaque area, grayscale median (GSM), Gray-Weale score for heterogeneity, and areas for intraplaque hemorrhage and lipid were the output parameters. We computed the parameter estimates (95% confidence intervals) for baseline patient characteristics (age, sex, race, diabetes, smoking, BMI, blood pressure and LDL levels) versus plaque characteristics. Results: High-risk plaque features (larger plaque area, lower GSM , lower Gray-Weale scores, or larger areas of hemorrhage and lipid) were present in older patients, males, and those with elevated diastolic blood pressure and LDL levels (Table). Conclusions: In a randomized trial of asymptomatic patients with high-grade carotid stenosis, DUS-based computation of plaque geometry and tissue composition is feasible. Elevated diastolic blood pressure and LDL levels at baseline are associated with high-risk plaque characteristics. These novel findings identify potentially modifiable targets for aggressive treatment to reduce stroke-risk in patients with carotid stenosis.

The importance of further elucidating the properties surrounding microchimerism in various experi- mental models and clinical transplantation are limited by current techniques and the sensitivity of available platforms. Development of reliable methods and use routine use of microchimerism detection in clinical practice could guide clinical decision making regarding rejection, stable function, and tolerance.