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Background A variety of clinically important benchmarks of success (CIBS) have been defined for total shoulder arthroplasty (TSA) to quantify success. However, it is unclear how the preoperative status of the patient influences their likelihood of achieving each CIBS. Questions/purposes (1) What proportion of patients achieve commonly used CIBS after TSA? (2) Is there a relationship between a patients’ preoperative function and their probability of achieving different CIBS? (3) Does there exist preoperative ranges for each outcome measure that are associated with greater achievement of CIBS? Methods We retrospectively queried a multicenter shoulder arthroplasty database for primary anatomic TSA (aTSA) and reverse TSA (rTSA). A total of 2041 aTSAs and 3205 rTSAs were included. The mean ± SD age at time of surgery was 66 ± 9 years for aTSAs and 72 ± 8 years for rTSAs. In all, 51% (1049 of 2041) of aTSAs and 61% (1955 of 3205) of rTSAs were in patients who were women. For aTSAs, osteoarthritis with an intact rotator cuff was the most common preoperative diagnosis (92% [1869 of 2041]). For rTSAs, the most common preoperative diagnoses included rotator cuff tear arthropathy (40% [1280 of 3205]), osteoarthritis with an intact rotator cuff (24% [780 of 3205]), osteoarthritis with a torn rotator cuff (20% [632 of 3205]), and massive rotator cuff tear (10% [309 of 3205]). Outcomes were evaluated at latest follow-up (aTSA 61 ± 36 months, rTSA 47 ± 26 months) and consisted of ROM (abduction, forward elevation, external and internal rotation) as well as the most commonly used outcome scores: the Simple Shoulder Test (SST), Constant score, American Shoulder and Elbow Surgeons (ASES) score, University of California, Los Angeles (UCLA) score, Shoulder Pain and Disability Index (SPADI), and the Shoulder Arthroplasty Smart (SAS) score. The CIBS that we evaluated included the minimum clinically important difference (MCID), substantial clinical benefit (SCB), patient acceptable symptom state (PASS), minimum clinically important percentage of maximal possible improvement (MCI-%MPI), and substantial clinically important percentage of maximal possible improvement (SCI-%MPI). Prosthesis-specific anchor-based CIBS were adopted from prior publications on patients from this database. Multivariable regression was performed to identify the relationship between preoperative outcome measures and achievement of CIBS. Additionally, receiver operating characteristic (ROC) curve analyses were performed to determine whether thresholds in preoperative outcome measures were associated with achieving CIBS. Results For all ROM measures and outcome scores, poorer preoperative ROM was associated with greater odds of achieving the MCID and SCB but lower odds of achieving the PASS. For the SST and the two scores without ceiling effects (the Constant and SAS scores), poorer preoperative outcome scores were associated with greater odds of achieving the MCI-%MPI and SCI-%MPI, but no association was demonstrated for the ASES, SPADI, and UCLA scores. Graphical analysis demonstrated that patients with greater preoperative ROM and outcome scores had a lower probability of achieving the MCID and SCB but a higher probability of achieving the PASS. For outcome scores with known ceiling effects, patients with more favorable preoperative outcome scores were more likely to achieve the MCI-%MPI and SCI-%MPI than the MCID and SCB, respectively. For outcome scores without ceiling effects, patients undergoing aTSA were more likely to achieve the MCID, MCI-%MPI, and the SCI-%MPI than the SCB, but no clear trend was identified for patients undergoing rTSA. On ROC curve analysis, identified thresholds were reasonably accurate (area under the curve > 0.7) for achievement of measures of absolute improvement (the MCID and SCB), but not for absolute postoperative status (the PASS) or relative improvement (the MCI-%MPI and SCI-%MPI). Conclusion While most patients reported being “much better” (aTSA 75%, rTSA 76%) or “better” (aTSA 15%, rTSA 18%) compared with before surgery, 10% of aTSAs and 6% of rTSAs were either “unchanged” or “worse.” Patients’ likelihood of achieving CIBS depends in part on their baseline function and whether success is defined as absolute improvement, absolute postoperative status, or relative improvement. Patients with more favorable preoperative status are more likely to achieve CIBS that evaluate relative improvement (the MCI-%MPI and SCI-%MPI) than absolute improvement (the MCID and SCB). Future studies are needed to determine which individual CIBS or combinations thereof most accurately represent clinically relevant benefit. Level of Evidence Level III, therapeutic study.

Abstract Aims Operating on patients with severe degenerative mitral regurgitation (DMR) is based on ACC/AHA or ESC/EACTS guidelines. Doubts persist on best surgical indications and their potential association with postoperative survival loss. We sought to investigate whether guideline-based indications lead to late postoperative survival loss in DMR patients. Methods and results We analysed outcome of 2833 patients from the Mitral Regurgitation International Database registry undergoing surgical correction of DMR. Patients were stratified by surgical indications: Class I trigger (symptoms, left ventricular end-systolic diameter ≥ 40 mm, or left ventricular ejection fraction < 60%, n = 1677), isolated Class IIa trigger [atrial fibrillation (AF), pulmonary hypertension (PH), or left atrial diameter ≥ 55 mm, n = 568], or no trigger (n = 588). Postoperative survival was compared after matching for clinical differences. Restricted mean survival time (RMST) was analysed. During a median 8.5-year follow-up, 603 deaths occurred. Long-term postoperative survival was lower with Class I trigger than in Class IIa trigger and no trigger (71.4 ± 1.9, 84.3 ± 2.3, and 88.9 ± 1.9% at 10 years, P < 0.001). Having at least one Class I criterion led to excess mortality (P < 0.001), while several Class I criteria conferred additional death risk [hazard ratio (HR): 1.53, 95% confidence interval (CI): 1.42–1.66]. Isolated Class IIa triggers conferred an excess mortality risk vs. those without (HR: 1.46, 95% CI: 1.00–2.13, P = 0.05). Among these patients, isolated PH led to decreased postoperative survival vs. those without (83.7 ± 2.8% vs. 89.3 ± 1.6%, P = 0.011), with the same pattern observed for AF (81.8 ± 5.0% vs. 88.3 ± 1.5%, P = 0.023). According to RMST analysis, compare to those operated on without triggers, operating on Class I trigger patients led to 9.4-month survival loss (P < 0.001) and operating on isolated Class IIa trigger patients displayed 4.9-month survival loss (P = 0.001) after 10 years. Conclusion Waiting for the onset of Class I or isolated Class IIa triggers before operating on DMR patients is associated with postoperative survival loss. These data encourage an early surgical strategy.

Background: Despite the importance of the deltoid to shoulder biomechanics, very few studies have quantified the three-dimensional shape, size, or quality of the deltoid muscle, and no studies have correlated these measurements to clinical outcomes after anatomic (aTSA) and/or reverse (rTSA) total shoulder arthroplasty in any statistically/scientifically relevant manner. Methods: Preoperative computer tomography (CT) images from 1057 patients (585 female, 469 male; 799 primary rTSA and 258 primary aTSA) of a single platform shoulder arthroplasty prosthesis (Equinoxe; Exactech, Inc., Gainesville, FL) were analyzed in this study. A machine learning (ML) framework was used to segment the deltoid muscle for 1057 patients and quantify 15 different muscle characteristics, including volumetric (size, shape, etc.) and intensity-based Hounsfield (HU) measurements. These deltoid measurements were correlated to postoperative clinical outcomes and utilized as inputs to train/test ML algorithms used to predict postoperative outcomes at multiple postoperative timepoints (1 year, 2–3 years, and 3–5 years) for aTSA and rTSA. Results: Numerous deltoid muscle measurements were demonstrated to significantly vary with age, gender, prosthesis type, and CT image kernel; notably, normalized deltoid volume and deltoid fatty infiltration were demonstrated to be relevant to preoperative and postoperative clinical outcomes after aTSA and rTSA. Incorporating deltoid image data into the ML models improved clinical outcome prediction accuracy relative to ML algorithms without image data, particularly for the prediction of abduction and forward elevation after aTSA and rTSA. Analyzing ML feature importance facilitated rank-ordering of the deltoid image measurements relevant to aTSA and rTSA clinical outcomes. Specifically, we identified that deltoid shape flatness, normalized deltoid volume, deltoid voxel skewness, and deltoid shape sphericity were the most predictive image-based features used to predict clinical outcomes after aTSA and rTSA. Many of these deltoid measurements were found to be more predictive of aTSA and rTSA postoperative outcomes than patient demographic data, comorbidity data, and diagnosis data. Conclusions: While future work is required to further refine the ML models, which include additional shoulder muscles, like the rotator cuff, our results show promise that the developed ML framework can be used to evolve traditional CT-based preoperative planning software into an evidence-based ML clinical decision support tool.

Abstract Glioblastoma is the most common primary malignant brain tumor. Despite maximal safe resection, followed by chemoradiation, median survival is 15 months, and 5-year survival is 6.8%. Efficacy of immunotherapy is limited by glioblastoma-mediated immunosuppression. Extracellular vesicles (EVs) are a heterogeneous group of small membrane-bound particles that are released from all cell types. Glioblastoma-derived EVs regulate the tumor microenvironment and tumor progression in a paracrine manner. They also regulate glioblastoma-mediated systemic immunosuppression in an IL6- and PDL1-dependent manner by inducing myeloid-derived suppressor cells (MDSCs) ultimately resulting in T cell depletion. Primary cilia are ubiquitous microtubule-based organelles that project from the mother centriole and are present on glioblastoma cells. Inhibition of ciliogenesis–through knockdown of KIF3A, IFT88, or ARL13B (structural ciliary proteins required for ciliogenesis)–abolishes IL6 induction in response to chemoradiation and significantly reduces the induction of MDSCs in normal human donor monocytes exposed to glioblastoma-derived EVs. Inhibition of ciliogenesis does not affect the biophysical properties of EVs but our data instead suggest significant alterations in EV packaging and content in response to ciliary loss. These data suggest a novel role for primary cilia in packaging of EV contents and connects these organelles with tumor EV-mediated immunosuppression in glioblastomas. These findings have potential implications for improving the efficacy of immunotherapy in glioblastoma–a universally fatal disease.

SummaryBackgroundAchalasia is a debilitating major motor disorder of the oesophagus. Hypervigilance and symptom‐specific anxiety substantially impact dysphagia symptom reporting, and quality of life is a critical patient outcome. Earlier achalasia symptom scales did not consider these constructs in their psychometric development.AimTo develop a new symptom measure, the Achalasia Patient‐Reported Outcomes (APRO) QuestionnaireMethodsFour gastroenterologists with achalasia expertise generated preliminary items. Patients reviewed items via cognitive interviews. Patients undergoing high‐resolution manometry completed the APRO with Oesophageal Hypervigilance and Anxiety Scale, Northwestern Oesophageal Quality of Life Scale, and three measures of reflux and dysphagia. Full APRO psychometric assessment (reliability, validity, factor structure) was done. Cluster analysis evaluated APRO + symptom‐anxiety/hypervigilance patient phenotypes.ResultsWe included 961 patients with normal motility and 296 with achalasia. The APRO yielded three subscales: dysphagia, reflux, chest pain with two items for weight change and diet modifications. Reliability and validity were excellent. Twenty‐five percent of achalasia patients may have high levels of anxiety/hypervigilance despite low symptoms, while 8% may report severe symptoms with low anxiety/hypervigilance. The APRO significantly predicted quality of life, but less cognitive‐affective processes.ConclusionsThe APRO is a reliable and valid measure of achalasia symptoms that addresses the limitations of existing questionnaires. Symptom anxiety and hypervigilance moderate the relationship between APRO and quality of life; 33% of patients with achalasia exhibit concerning patterns in symptom severity, anxiety and hypervigilance that may contribute to poorer outcomes.

ABSTRACT Background Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA). Methods Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence‐based review (EBR), or evidence‐based review with recommendations (EBR‐R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus. Results The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA‐associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated. Conclusion This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence‐based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.

The need for filtering intravenous infusions has long been recognized in the field of venous access, though hard scientific evidence about the actual indications for in-line filters has been scarce. In the last few years, several papers and a few clinical studies have raised again this issue, suggesting that the time has come for a proper definition of the type of filtration, of its potential benefit, and of its proper indications in clinical practice. The WoCoVA Foundation, whose goal is to increase the global awareness on the risk of intravenous access and on patients’ safety, developed the project of a consensus on intravenous filtration. A panel of experts in different aspects of intravenous infusion was chosen to express the current state of knowledge about filtration and to indicate the direction of future research in this field. The present document reports the final conclusions of the panel.

Abstract Purpose: With improvements in breast cancer imaging, there has been a corresponding increase in false-positives and avoidable biopsies. There is a need to better differentiate when a breast biopsy is warranted and determine appropriate follow-up. This study describes the design and clinical performance of a combinatorial proteomic biomarker assay (CPBA), Videssa Breast, in women over age 50 years. Experimental Design: A BI-RADS 3, 4, or 5 assessment was required for clinical trial enrollment. Serum was collected prior to breast biopsy and subjects were followed for 6–12 months and clinically relevant outcomes were recorded. Samples were split into training (70%) and validation (30%) cohorts with an approximate 1:4 case:control ratio in both arms. Results: A CPBA that combines biomarker data with patient clinical data was developed using a training cohort (469 women, cancer incidence: 18.5%), resulting in 94% sensitivity and 97% negative predictive value (NPV). Independent validation of the final algorithm in 194 subjects (breast cancer incidence: 19.6%) demonstrated a sensitivity of 95% and a NPV of 97%. When combined with previously published data for women under age 50, Videssa Breast achieves a comprehensive 93% sensitivity and 98% NPV in a population of women ages 25–75. Had Videssa Breast results been incorporated into the clinical workflow, approximately 45% of biopsies might have been avoided. Conclusions: Videssa Breast combines serum biomarkers with clinical patient characteristics to provide clinicians with additional information for patients with indeterminate breast imaging results, potentially reducing false-positive breast biopsies.

Background The role of microbiota in sinonasal inflammation can be further understood by targeted sampling of healthy and diseased subjects. We compared the microbiota of the middle meatus (MM) and inferior meatus (IM) in healthy, allergic rhinitis (AR), and chronic rhinosinusitis (CRS) subjects to characterize intrasubject, intersubject, and intergroup differences. Methods Subjects were recruited in the office, and characterized into healthy, AR, and CRS groups. Endoscopically‐guided swab samples were obtained from the MM and IM bilaterally. Bacterial microbiota were characterized by sequencing the V3‐V4 region of the 16S ribosomal RNA (rRNA) gene. Results Intersubject microbiome analyses were conducted in 65 subjects: 8 healthy, 11 AR, and 46 CRS (25 CRS with nasal polyps [CRSwNP]; 21 CRS without nasal polyps [CRSsNP]). Intrasubject analyses were conducted for 48 individuals (4 controls, 11 AR, 8 CRSwNP, and 15 CRSwNP). There was considerable intersubject microbiota variability, but intrasubject profiles were similar ( p = 0.001, nonparametric t test). Intrasubject bacterial diversity was significantly reduced in MM of CRSsNP subjects compared to IM samples ( p = 0.022, nonparametric t test). CRSsNP MM samples were enriched in Streptococcus , Haemophilus , and Fusobacterium spp. but exhibited loss of diversity compared to healthy, CRSwNP, and AR subject‐samples ( p < 0.05; nonparametric t test). CRSwNP patients were enriched in Staphylococcus , Alloiococcus , and Corynebacterium spp. Conclusion This study presents the sinonasal microbiome profile in one of the larger populations of non‐CRS and CRS subjects, and is the first office‐based cohort in the literature. In contrast to healthy, AR, and CRSwNP subjects, CRSsNP MM samples exhibited decreased microbiome diversity and anaerobic enrichment. CRSsNP MM samples had reduced diversity compared to same‐subject IM samples, a novel finding.