Citations

ObjectiveTo discuss a case series of Actinomyces infection post‐rhinoplasty and review the literature for correct diagnosis and management.Study DesignCase series with chart review.MethodsThree cases are presented of patients with a history of recurrent infectious symptoms post revision rhinoplasty later being diagnosed as Actinomyces.ResultsThree patients were identified having undergone revision rhinoplasty and later being diagnosed with Actinomyces infection. They initially presented with underwhelming physical exams, mild erythema, slight swelling, yet extreme pain. They also had periods of recurrent infection once antibiotics were stopped. Aerobic, anaerobic, fungal, and Actinomyces cultures were sent to pathology and returned positive for Actinomyces. Treatment typically involved a combination of prolonged antibiotics, incision and drainage, and/or surgical debridement.ConclusionsAwareness of Actinomyces as a possible cause of infection post‐rhinoplasty is significant as this pathogen can lead to extensive tissue destruction and fistula formation which could be detrimental for a rhinoplasty. Duration of treatment is beyond typical lengths for other infections and a specific culture for Actinomyces is required to be sent as it isn't captured in standard aerobic/anaerobic cultures. Therefore, a high index of suspicion is required by physicians to ensure that patients are evaluated thoroughly. Laryngoscope, 133:2948–2950, 2023

Abstract Background In the United States, rare disease (RD) is defined as a condition that affects fewer than 200,000 individuals. Collectively, RD affects an estimated 30 million Americans. A significant portion of RD has an underlying genetic cause; however, this may go undiagnosed. To better serve these patients, the Mayo Clinic Program for Rare and Undiagnosed Diseases (PRaUD) was created under the auspices of the Center for Individualized Medicine (CIM) aiming to integrate genomics into subspecialty practice including targeted genetic testing, research, and education. Methods Patients were identified by subspecialty healthcare providers from 11 clinical divisions/departments. Targeted multi-gene panels or custom exome/genome-based panels were utilized. To support the goals of PRaUD, a new clinical service model, the Genetic Testing and Counseling (GTAC) unit, was established to improve access and increase efficiency for genetic test facilitation. The GTAC unit includes genetic counselors, genetic counseling assistants, genetic nurses, and a medical geneticist. Patients receive abbreviated point-of-care genetic counseling and testing through a partnership with subspecialty providers. Results Implementation of PRaUD began in 2018 and GTAC unit launched in 2020 to support program expansion. Currently, 29 RD clinical indications are included in 11 specialty divisions/departments with over 142 referring providers. To date, 1,152 patients have been evaluated with an overall solve rate of 14.1% and as high as 66.7% depending on the phenotype. Noteworthy, 42.7% of the solved or likely solved patients underwent changes in medical management and outcome based on genetic test results. Conclusion Implementation of PRaUD and GTAC have enabled subspecialty practices advance expertise in RD where genetic counselors have not historically been embedded in practice. Democratizing access to genetic testing and counseling can broaden the reach of patients with RD and increase the diagnostic yield of such indications leading to better medical management as well as expanding research opportunities.

Abstract Objectives To compare clinical characteristics among outpatient headache clinic patients who do and do not self‐report visiting the emergency department for headache. Background Headache is the fourth most common reason for emergency department visits, compromising 1%–3% of visits. Limited data exist about patients who are seen in an outpatient headache clinic but still opt to frequent the emergency department. Clinical characteristics may differ between patients who self‐report emergency department use and those who do not. Understanding these differences may help identify which patients are at greatest risk for emergency department overutilization. Methods This observational cohort study included adults treated at the Cleveland Clinic Headache Center between October 12, 2015 and September 11, 2019, who completed self‐reported questionnaires. Associations between self‐reported emergency department utilization and demographics, clinical characteristics, and patient‐reported outcome measures (PROMs: Headache Impact Test [HIT‐6], headache days per month, current headache/face pain, Patient Health Questionnaire‐9 [PHQ‐9], Patient‐Reported Outcomes Measurement Information System [PROMIS] Global Health [GH]) were evaluated. Results Of the 10,073 patients (mean age 44.7 ± 14.9, 78.1% [7872/10,073] female, 80.3% [8087/10,073] White patients) included in the study, 34.5% (3478/10,073) reported visiting the emergency department at least once during the study period. Characteristics significantly associated with self‐reported emergency department utilization included younger age (odds ratio = 0.81 [95% CI = 0.78–0.85] per decade), Black patients (vs. White patients) (1.47 [1.26–1.71]), Medicaid (vs. private insurance) (1.50 [1.29–1.74]), and worse area deprivation index (1.04 [1.02–1.07]). Additionally, worse PROMs were associated with greater odds of emergency department utilization: higher (worse) HIT‐6 (1.35 [1.30–1.41] per 5‐point increase), higher (worse) PHQ‐9 (1.14 [1.09–1.20] per 5‐point increase), and lower (worse) PROMIS‐GH Physical Health T‐scores (0.93 [0.88–0.97]) per 5‐point increase. Conclusion Our study identified several characteristics associated with self‐reported emergency department utilization for headache. Worse PROM scores may be helpful in identifying which patients are at greater risk for utilizing the emergency department.

Abstract The overall survival (OS) has improved significantly in multiple myeloma (MM) over the last decade with the use of proteasome inhibitor and immunomodulatory drug-based combinations, followed by high-dose melphalan and autologous hematopoietic stem cell transplantation (auto-HSCT) and subsequent maintenance therapies in eligible newly diagnosed patients. However, clinical trials using auto-HSCT followed by lenalidomide maintenance have shown an increased risk of second primary malignancies (SPM), including second hematological malignancies (SHM). We evaluated the impact of SPM and SHM on progression-free survival (PFS) and OS in patients with MM after auto-HSCT using CIBMTR registry data. Adult patients with MM who underwent first auto-HSCT in the United States with melphalan conditioning regimen from 2011 to 2018 and received maintenance therapy were included (n = 3948). At a median follow-up of 37 months, 175 (4%) patients developed SPM, including 112 (64%) solid, 36 (20%) myeloid, 24 (14%) SHM, not otherwise specified, and 3 (2%) lymphoid malignancies. Multivariate analysis demonstrated that SPM and SHM were associated with an inferior PFS (hazard ratio [HR] 2.62, P < .001 and HR 5.01, P < .001, respectively) and OS (HR 3.85, P < .001 and HR 8.13, P < .001, respectively). In patients who developed SPM and SHM, MM remained the most frequent primary cause of death (42% vs 30% and 53% vs 18%, respectively). We conclude the development of SPM and SHM leads to a poor survival in patients with MM and is an important survivorship challenge. Given the median survival for MM continues to improve, continued vigilance is needed to assess the risks of SPM and SHM with maintenance therapy post–auto-HSCT.

Background Successful utilization of the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) requires a comprehensive understanding of its rules, terminology, and several complex concepts. There have been no studies investigating classification accuracy since the newest ISNCSCI revision (2019). Objectives To evaluate classification accuracy of SCI professionals using the 2019 ISNCSCI edition, identify common mistakes and areas of confusion, and assess associations between experience in ISNCSCI classification and performance. Methods Members of the International Spinal Cord Society (ISCoS) and attendees of the ISCoS Annual Scientific Meeting 2021 were invited to complete an online survey that included six ISNCSCI cases to classify. Results A total of 107 persons completed the survey, with overall classification accuracy of 74.6%. Accuracy was highest for injury completeness (95.3%) and sensory level (91.1%) and lowest for motor zone of partial preservation (ZPP; 54.7%) and ASIA Impairment Scale (AIS) grade (57.3%). Newer concepts, including the appropriate documentation of non-SCI conditions and classification of ZPP in incomplete injuries, contributed to several common errors. There was a significant association between overall classification accuracy and self-rated experience in the ISNCSCI classification ( p = .017). Experience with the ISNCSCI examination, experience in SCI medicine, and occupation were not found to be significantly associated with overall classification accuracy. Conclusion Classification accuracy of an international cohort of SCI professionals was modest but greater than previous reports. Knowledge deficits about the 2019 ISNCSCI updates are prevalent and contribute to common classification errors. Further training in the utilization of the ISNCSCI is needed.

Abstract Objective Rapid eye movement (REM) sleep behavior disorder (RBD) is widely considered a prodromal synucleinopathy, as most with RBD develop overt synucleinopathy within ~10 years. Accordingly, RBD offers an opportunity to test potential treatments at the earliest stages of synucleinopathy. The North American Prodromal Synucleinopathy (NAPS) Consortium has created a multisite RBD participant, primarily clinic‐based cohort to better understand characteristics at diagnosis, and in future work, identify predictors of phenoconversion, develop synucleinopathy biomarkers, and enable early stage clinical trial enrollment. Methods Participants ≥18 years of age with overnight polysomnogram‐confirmed RBD without Parkinson's disease, dementia, multiple system atrophy, or narcolepsy were enrolled from nine sites across North America (8/2018 to 4/2021). Data collection included family/personal history of RBD and standardized assessments of cognitive, motor, sensory, and autonomic function. Results Outcomes are primarily reported based on sex (361 total: n = 295 male, n = 66 female), and secondarily based on history of antidepressant use ( n = 200 with, n = 154 without; with correction for sex differences) and based on extent of synucleinopathy burden ( n = 56 defined as isolated RBD, n = 305 defined as RBD+ [i.e., exhibiting ≥1 abnormality]). Overall, these participants commonly demonstrated abnormalities in global cognition (MoCA; 38%), motor function (alternate tap test; 48%), sensory (BSIT; 57%), autonomic function (orthostatic hypotension, 38.8%), and anxiety/depression (BAI and PHQ‐9; 39.3% and 31%, respectively). Interpretation These RBD participants, assessed with extensive history, demographic, cognitive, motor, sensory, and autonomic function demonstrated a lack of sex differences and high frequency of concomitant neurological abnormalities. These participants will be valuable for future longitudinal study and neuroprotective clinical trials.

Abstract Background Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some challenges. Shared decision-making (SDM) interventions are recommended to support patients and clinicians in making preference-sensitive decisions. The quality of the SDM process has been widely assessed with the decisional conflict scale (DCS). Our aim is to report participants’ perspectives of each of the components of an SDM intervention (DASH-TOP) in relation to the different subscales of the DCS. Methods Design: A convergent, parallel, mixed-methods design. Participants: The sample consisted of 22 health care professionals, students of an Applied Clinical Research in Health Sciences (ICACS) master program. Intervention: We randomly divided the participants in three groups: Group 1 received one component (evidence -based information), Group 2 received two components (first component and value elicitation exercises), and Group 3 received all three components (the first two and a decision analysis recommendation) of the SDM intervention. Analysis: For the quantitative strand, we used a non-parametric test to analyze the differences in the DCS subscales between the three groups. For the qualitative strand, we conducted a content analysis using the decisional conflict domains to deductively categorize the responses. Results Groups that received more intervention components experienced less conflict and better decision-making quality, although the differences between groups were not statistically significant. The decision analysis recommendation improved the efficacy with the decision-making process, however there are some challenges when implementing it in clinical practice. The uncertainty subscale showed a high decisional conflict for all three groups; contributing factors included low certainty of the evidence-based information provided and a perceived small effect of the drug to reduce the risk of a VTE event. Conclusions The DASH-TOP intervention reduced decisional conflict in the decision -making process, with decision analysis being the most effective component to improve the quality of the decision. There is a need for more implementation research to improve the delivery of SDM interventions in the clinical encounter.

Abstract Digital pathology (DP) has transformative potential, especially for Alzheimer disease and related disorders. However, infrastructure barriers may limit adoption. To provide benchmarks and insights into implementation barriers, a survey was conducted in 2019 within National Institutes of Health’s Alzheimer’s Disease Centers (ADCs). Questions covered infrastructure, funding sources, and data management related to digital pathology. Of the 35 ADCs to which the survey was sent, 33 responded. Most respondents (81%) stated that their ADC had digital slide scanner access, with the most frequent brand being Aperio/Leica (62.9%). Approximately a third of respondents stated there were fees to utilize the scanner. For DP and machine learning (ML) resources, 41% of respondents stated none was supported by their ADC. For scanner purchasing and operations, 50% of respondents stated they received institutional support. Some were unsure of the file size of scanned digital images (37%) and total amount of storage space files occupied (50%). Most (76%) were aware of other departments at their institution working with ML; a similar (76%) percentage were unaware of multiuniversity or industry partnerships. These results demonstrate many ADCs have access to a digital slide scanner; additional investigations are needed to further understand hurdles to implement DP and ML workflows.

AbstractBackgroundCompared to other sarcomas, myxoid liposarcoma (ML) is known to be radiosensitive, with improved oncologic outcomes. Although these tumors “shrink” following radiotherapy, there is a paucity of data examining the degree of radiosensitivity and oncologic outcome. The purpose of the study was to evaluate pre‐ and postradiotherapy tumor volume to determine if size reduction impacts outcome.MethodsWe reviewed 62 patients with ML undergoing surgical resection combined with preoperative radiotherapy, with pre‐ and postradiotherapy MRI. This included 34 (55%) males, with a mean age of 47 ± 14 years. All tumors were deep to the fascia, and 12 (19%) patients had tumors with a >5% round‐cell component.ResultsThe mean volume reduction was 54% ± 29%. Compared to patients with >25% volume reduction, patients with reduction ≤25% had worse 10‐year disease specific survival (86% vs. 37%, p < 0.01), in addition to an increased risk of metastatic disease (HR 4.63, p < 0.01) and death due to disease (HR 4.52, p < 0.01).ConclusionLack of volume reduction is a risk factor for metastatic disease and subsequent death due to disease in patients with extremity ML treated with combined preoperative radiotherapy and surgery. This data could be used to stratify patients for adjuvant therapies and follow‐up intervals.