Citations

Abstract Background Contact precautions for endemic methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE) are under increasing scrutiny, in part due to limited clinical trial evidence. Methods We retrospectively analyzed data from the Strategies to Reduce Transmission of Antimicrobial Resistant Bacteria in Intensive Care Units (STAR*ICU) trial to model the use of contact precautions in individual intensive care units (ICUs). Data included admission and discharge times and surveillance test results. We used a transmission model to estimate key epidemiological parameters, including the effect of contact precautions on transmission. Finally, we performed multivariate meta-regression to identify ICU-level factors associated with contact precaution effects. Results We found that 21% of admissions (n = 2194) were placed on contact precautions, with most for MRSA and VRE. We found little evidence that contact precautions reduced MRSA transmission. The estimated change in transmission attributed to contact precautions was –16% (95% credible interval, –38% to 15%). VRE transmission was higher than MRSA transmission due to contact precautions, but not significantly. In our meta-regression, we did not identify associations between ICU-level factors and estimated contact precaution effects. Importation and transmission were higher for VRE than for MRSA, but clearance rates were lower for VRE than for MRSA. Conclusions We found little evidence that contact precautions implemented during the STAR*ICU trial reduced transmission of MRSA or VRE. We did find important differences in the transmission dynamics between MRSA and VRE. Differences in organism and healthcare setting may impact the efficacy of contact precautions.

Hospitalists care for a growing population of older patients with unique social needs that can often be addressed by providing caregiver help in the home. The importance of addressing social needs is well-recognized, yet older patients sometimes refuse these services. This refusal of services may result in rehospitalization and increased morbidity for patients. We aimed to overcome this refusal of social support through an innovative workshop training hospitalists in negotiation and dispute resolution. Hospitalists at a tertiary care, urban academic medical center completed a one-hour interactive workshop on negotiation and dispute resolution focused on addressing older patients’ refusal of social services. One month post workshop, participants reported increased confidence in engaging patients and families in conflicts and felt empowered to negotiate in both their clinical practice and personal lives. Training hospitalists to negotiate with older adults needing social services is feasible and positively impacts the ability to provide geriatric care.

8599 Background: MM survival varies enormously from few months to more than a decade. Baseline prognostic factors (PF) have been identified that are linked to survival outcomes, especially B2M and albumin. MM survival plots are typically characterized by 3 segments of slopes with decreasing steepness, suggesting that different PF may govern these time segments. Methods: We therefore examined, in S9321, PF that were associated with overall survival (OS) from baseline (BL) and from 3 subsequent landmarks 3, 5, and 7 years later (LM3, LM5, LM7). With a median follow-up of 9 years, OS and EFS were virtually identical in transplant and standard therapy arms so that the data were pooled. Results: Median OS and EFS for 817 eligible patients are 48 and 22 months. The BL model identified age (>60yr), hemoglobin (<10g/gL), platelet count (<130,000/uL), albumin (<3.5g/dL), B2M (>3.5g/dL), calcium (>10mg/dL), creatinine (>2mg/dL), LDH (>190U/L), performance status (PS, >1), IL-6 level (>140mg/L) and plasma cell labeling index (PCLI, >1%) as being univariately associated with short OS, while age (p=0.002), platelet count (p=0.04), calcium (p<0.001), B2M (p=0.002), LDH (p=0.010) and PCLI (p<0.001) retained significance in multivariate analysis. For the LM3 analyses, age (p=0.006) and B2M (p=0.009) were independently associated with poor OS, whereas PCLI was the only PF associated with LM5 (p=0.026) and age with LM7 (p<0.001). While associated univariately with OS from BL, CRP, platelet count, hemoglobin, albumin, calcium, creatinine, LDH, IL6 and PS all failed to affect OS from later LM times. Conclusions: Whereas the initial 3 years of OS are governed by a combination of features related to disease aggressiveness (LDH, calcium, albumin, CRP), tumor burden (hemoglobin, platelet count) and host tolerance (PS, creatinine), B2M and PCLI as reflectors of tumor burden and proliferation have sustained long-term OS implications. The age factor figures in partly due to death from other causes. In an era of ever-improving survival outcomes, such LM-based PF analysis may reveal trial-specific differences and thus provide guidance toward individualizing therapy. [Table: see text]

Objective The link and interplay between different airway exposures and rheumatoid arthritis (RA) risk are unclear. This study was undertaken to determine whether respiratory disease is associated with development of RA, and specifically to examine this relationship by RA serostatus and smoking exposure. Methods Using data from the Epidemiological Investigation of Rheumatoid Arthritis study, this analysis included 1,631 incident RA cases and 3,283 matched controls recruited from 2006 to 2016. Linking these individuals to the National Patient Register provided information on past acute or chronic, upper or lower respiratory disease diagnoses. For each disease group, we estimated adjusted odds ratios (OR adj ) with 95% confidence intervals (95% CI) for RA, using logistic regression models adjusted for age, sex, residential area, body mass index, and education both overall and stratified by anti–citrullinated protein antibody (ACPA)/rheumatoid factor (RF) status and by smoking status. Results Respiratory disease diagnoses were associated with risk of RA, with an OR adj of 1.2 for acute upper respiratory disease (95% CI 0.8–1.7), 1.4 for chronic upper respiratory disease (95% CI 1.1–1.9), 2.4 for acute lower respiratory disease (95% CI 1.5–3.6), and 1.6 for chronic lower respiratory disease (95% CI 1.5–3.6). These associations were present irrespective of RF or ACPA status, though the association was somewhat stronger for ACPA/RF–positive than ACPA/RF–negative RA. The association between any respiratory disease and RA was stronger for nonsmokers (OR adj 2.1 [95% CI 1.5–2.9]) than for smokers (OR adj 1.2 [95% CI 0.9–1.5]). Conclusion Respiratory diseases increase the risk for both seropositive and seronegative RA, but only among nonsmokers. These findings raise the hypothesis that smoking and airway disease are associated with RA development through partly different mechanisms.

ObjectiveNonphysician health care workers are involved in high‐risk patient care during the COVID‐19 pandemic, placing them at high risk of mental health burden. The mental health impact of COVID‐19 in this crucial population has not been studied thus far. Thus, the objective of this study is to assess the psychosocial well‐being of these providers.Study DesignNational cross‐sectional online survey (no control group).SettingAcademic otolaryngology programs in the United States.Subjects and MethodsWe distributed a survey to nonphysician health care workers in otolaryngology departments across the United States. The survey incorporated a variety of validated mental health assessment tools to measure participant burnout (Mini‐Z assessment), anxiety (Generalized Anxiety Disorder–7), distress (Impact of Event Scale), and depression (Patient Health Questionnaire–2). Multivariable logistic regression analysis was performed to determine predictive factors associated with these mental health outcomes.ResultsWe received 347 survey responses: 248 (71.5%) nurses, 63 (18.2%) administrative staff, and 36 (10.4%) advanced practice providers. A total of 104 (30.0%) respondents reported symptoms of burnout; 241 (69.5%), symptoms of anxiety; 292 (84.1%), symptoms of at least mild distress; and 79 (22.8%), symptoms of depression. Upon further analysis, development of these symptoms was associated with factors such as occupation, practice setting, and case load.ConclusionFrontline otolaryngology health care providers exhibit high rates of mental health complications, particularly anxiety and distress, in the wake of COVID‐19. Adequate support systems must be put into place to address these issues.

Abstract Phosphoglucomutase 1 (PGM1) deficiency is a rare genetic disorder that affects glycogen metabolism, glycolysis, and protein glycosylation. Previously known as GSD XIV, it was recently reclassified as a congenital disorder of glycosylation, PGM1‐CDG. PGM1‐CDG usually manifests as a multisystem disease. Most patients present as infants with cleft palate, liver function abnormalities and hypoglycemia, but some patients present in adulthood with isolated muscle involvement. Some patients develop life‐threatening cardiomyopathy. Unlike most other CDG, PGM1‐CDG has an effective treatment option, d ‐galactose, which has been shown to improve many of the patients' symptoms. Therefore, early diagnosis and initiation of treatment for PGM1‐CDG patients are crucial decisions. In this article, our group of international experts suggests diagnostic, follow‐up, and management guidelines for PGM1‐CDG. These guidelines are based on the best available evidence‐based data and experts' opinions aiming to provide a practical resource for health care providers to facilitate successful diagnosis and optimal management of PGM1‐CDG patients.

AbstractBackgroundOtolaryngologists are among the highest risk for COVID‐19 exposure.MethodsThis is a cross‐sectional, survey‐based, national study evaluating academic otolaryngologists. Burnout, anxiety, distress, and depression were assessed by the single‐item Mini‐Z Burnout Assessment, 7‐item Generalized Anxiety Disorder Scale, 15‐item Impact of Event Scale, and 2‐item Patient Health Questionnaire, respectively.ResultsA total of 349 physicians completed the survey. Of them, 165 (47.3%) were residents and 212 (60.7%) were males. Anxiety, distress, burnout, and depression were reported in 167 (47.9%), 210 (60.2%), 76 (21.8%), and 37 (10.6%) physicians, respectively. Attendings had decreased burnout relative to residents (odds ratio [OR] 0.28, confidence interval [CI] [0.11‐0.68];P= .005). Females had increased burnout (OR 1.93, CI [1.12.‐3.32];P= .018), anxiety (OR 2.53, CI [1.59‐4.02];P< .005), and distress (OR 2.68, CI [1.64‐4.37];P< .005). Physicians in states with greater than 20 000 positive cases had increased distress (OR 2.01, CI [1.22‐3.31];P= .006).ConclusionDuring the COVID‐19 pandemic, the prevalence of burnout, anxiety, and distress is high among academic otolaryngologists.

3122 Background: The current standard work-up for both diagnosis and predictive biomarker testing in metastatic non-small cell lung cancer (NSCLC), can exhaust an entire tumor specimen. Notably, gene mutation panels or tumor mutation burden (TMB) testing currently requires 10 tissue slides and ranges from 10 days to 3 weeks from sample acquisition to test result. As more companion diagnostic (CDx)-restricted drugs are developed for NSCLC, rapid, tissue-sparing tests are sorely needed. We investigated whether TMB, T-effector (TEFF) gene signatures and PD-L1 status can be inferred from H&E images alone using a machine learning approach. Methods: Algorithm development included two steps: First, a neural network was trained to segment hand-annotated, pathologist-confirmed biological features from H&E images, such as tumor architecture and cell types. Second, these feature maps were fed into a classification model to predict the biomarker status. Ground truth biomarker status of the H&E-associated tumor samples came from whole exome sequencing (WES) for TMB, RNAseq for the TEFF gene signatures or reverse-phase protein array for PD-L1. Digital H&E images of NSCLC adenocarcinoma for model development were obtained from the cancer genome atlas (TCGA) and commercial sources. Results: This approach achieves > 75% accuracy in predicting TMB, TEFF and PD-L1 status, offers a way to interpret the model, and provides biological insights into the tumor-host microenvironment. Conclusions: These findings suggest that biomarker inference from H&E images is feasible, and may be sufficiently accurate to supplement or replace current tissue-based tests in a clinical setting. Our approach utilizes biological features for inference, and is thus robust, interpretable, and readily verifiable by pathologists. Finally, biomarker status inference from a single H&E image may enable testing in patients whose tumor tissue has been exhausted, spare further tissue use, and return test results within hours to enable rapid treatment decision-making to maximize patient benefit.