Considerations and clinical management of infections in sarcoidosis.

PURPOSE OF REVIEW: To summarize data from recent reports about risks and outcomes of the infections most often reported in patients with sarcoidosis. RECENT FINDINGS: Rates of fungal infections and other severe infections are higher in patients with sarcoidosis compared to controls. Immunosuppression further increases the risk for an infection requiring hospitalization. In contrast, outcomes of coronavirus disease 2019 (COVID-19) are not worse unless lung impairment or other comorbidities are present. SUMMARY: Tuberculosis, fungal infections, and other severe infections requiring hospital admission are, fortunately, relatively rare in patients with sarcoidosis who live in nonendemic regions. However, ongoing vigilance is required when the course of sarcoidosis is atypical or inexplicably progressive, as costs are high when these infections are missed. In contrast, COVID-19 and other respiratory viral illnesses are common, including among patients with sarcoidosis. When organ impairment is minimal, an underlying diagnosis of sarcoidosis does not appear to increase the risk of severe COVID-19, but patients may have higher risks due to comorbidities, which are important factors to address in routine sarcoidosis care. The burden from respiratory viral events, including impacts on quality of life and life functionality including work capacity, is unknown and is important to measure.

Sex and Race Differences in Cardiac Sarcoidosis Presentation, Treatment and Outcomes.

BACKGROUND: Although sex- and race-based patterns have been described in the extracardiac organ involvement of sarcoidosis, cardiac sarcoidosis (CS)-specific studies are lacking. METHODS: We studied CS presentation, treatment and outcomes based on sex and race in a tertiary-center cohort. Multivariable adjusted Cox proportional hazards and survival analyses were performed for primary composite outcomes (left ventricular assist device, heart transplantation, all-cause death) and for secondary outcomes (ventricular arrhythmia and all-cause death. RESULTS: We identified 252 patients with CS (108 female, 109 Black). At presentation with CS, females vs males (P = 0.001) and Black vs White individuals (P = 0.001) more commonly had symptomatic heart failure (HF), with HF most common in Black females (ANOVA P < 0.001). Treatment differences included more corticosteroid use (90% vs 79%; P = 0.020), higher 1-year prednisone dosage (13 vs 10 mg; P = 0.003) and less frequent early steroid-sparing agent use in males (29% vs 40%; P = 0.05). Black participants more frequently received a steroid-sparing agent (75% vs 60%; P = 0.023). Composite outcome-free survival did not differ by sex or race. Male sex had an adjusted hazard ratio of 2.34 (95% CI 1.13, 4.80; P = 0.021) for ventricular arrhythmia. CONCLUSION: CS course may differ by sex and race and may contribute to distinct clinical CS phenotypes.

Standardization of flow cytometry and cell sorting to enable a transcriptomic analysis in a multi-site sarcoidosis study.

The contribution and regulation of various CD4+ T cell lineages that occur with remitting vs progressive courses in sarcoidosis are poorly understood. We developed a multiparameter flow cytometry panel to sort these CD4+ T cell lineages followed by measurement of their functional potential using RNA-sequencing analysis at six-month intervals across multiple study sites. To obtain good quality RNA for sequencing, we relied on chemokine receptor expression to identify and sort lineages. To minimize gene expression changes induced by perturbations of T cells and avoid protein denaturation caused by freeze/thaw cycles, we optimized our protocols using freshly isolated samples at each study site. To accomplish this study, we had to overcome significant standardization challenges across multiple sites. Here, we detail standardization considerations for cell processing, flow staining, data acquisition, sorting parameters, and RNA quality control analysis that were performed as part of the NIH-sponsored, multi-center study, BRonchoscopy at Initial sarcoidosis diagnosis Targeting longitudinal Endpoints (BRITE). After several rounds of iterative optimization, we identified the following aspects as critical for successful standardization: 1) alignment of PMT voltages across sites using CS&T/rainbow bead technology; 2) a single template created in the cytometer program that was used by all sites to gate cell populations during data acquisition and cell sorting; 3) use of standardized lyophilized flow cytometry staining cocktails to reduce technical error during processing; 4) development and implementation of a standardized Manual of Procedures. After standardization of cell sorting, we were able to determine the minimum number of sorted cells necessary for next generation sequencing through analysis of RNA quality and quantity from sorted T cell populations. Overall, we found that implementing a multi-parameter cell sorting with RNA-seq analysis clinical study across multiple study sites requires iteratively tested standardized procedures to ensure comparable and high-quality results.

Heterogeneity of Lung Function Phenotypes in Sarcoidosis: Role of Race and Sex Differences.

Rationale: Historically, sarcoidosis was described as a restrictive lung disease, but several alternative phenotypes of pulmonary function have been observed. Pulmonary function phenotypes in sarcoidosis may represent different clinical and/or molecular phenotypes. Objectives: To characterize the prevalence of different pulmonary function phenotypes in a large and diverse sarcoidosis cohort from a tertiary care referral center. Methods: We identified individuals seen between 2005-2015 with a confirmed diagnosis of sarcoidosis. Data were collected from the first pulmonary function test (PFT) performed at our institution which included spirometry and diffusing capacity of the lung for carbon monoxide (DlCO). Demographics and clinical data were collected. Chi-squared analyses and multiple linear regressions were done to assess statistical differences and associations. Global Lung Function Initiative equations were used to calculate percent predicted measurements for spirometry and DlCO. Results: Of 602 individuals with sarcoidosis, 93% (562) had pulmonary involvement, 64% (385) were female, and 57% (341) were Black. Of those with pulmonary involvement, 56% had abnormal pulmonary function. Lung function impairment phenotypes included: 47% restriction, 22% obstruction, 15% isolated reduction in DlCO, and 16% combined obstructive restrictive phenotype. Restriction was the most common PFT phenotype among Black individuals (41%), while no lung impairment was most common among White individuals (66%) (P < 0.001). Males more frequently had obstruction (19%) compared with females (9%) P = 0.001, and females had more restriction (30%) compared with males (21%) P = 0.031. Conclusions: Among individuals with sarcoidosis and pulmonary function impairment, less than half demonstrated a restrictive phenotype. There were significant differences in pulmonary function phenotypes by race and sex.

Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.

Early recognition and treatment of sepsis are linked to improved patient outcomes. Machine learning-based early warning systems may reduce the time to recognition, but few systems have undergone clinical evaluation. In this prospective, multi-site cohort study, we examined the association between patient outcomes and provider interaction with a deployed sepsis alert system called the Targeted Real-time Early Warning System (TREWS). During the study, 590,736 patients were monitored by TREWS across five hospitals. We focused our analysis on 6,877 patients with sepsis who were identified by the alert before initiation of antibiotic therapy. Adjusting for patient presentation and severity, patients in this group whose alert was confirmed by a provider within 3 h of the alert had a reduced in-hospital mortality rate (3.3%, confidence interval (CI) 1.7, 5.1%, adjusted absolute reduction, and 18.7%, CI 9.4, 27.0%, adjusted relative reduction), organ failure and length of stay compared with patients whose alert was not confirmed by a provider within 3 h. Improvements in mortality rate (4.5%, CI 0.8, 8.3%, adjusted absolute reduction) and organ failure were larger among those patients who were additionally flagged as high risk. Our findings indicate that early warning systems have the potential to identify sepsis patients early and improve patient outcomes and that sepsis patients who would benefit the most from early treatment can be identified and prioritized at the time of the alert.

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.

Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments at early time points, which is critical for improving sepsis outcomes. In view of the increasing use of such systems, better understanding of how they are adopted and used by healthcare providers is needed. Here, we analyzed provider interactions with a sepsis early detection tool (Targeted Real-time Early Warning System), which was deployed at five hospitals over a 2-year period. Among 9,805 retrospectively identified sepsis cases, the early detection tool achieved high sensitivity (82% of sepsis cases were identified) and a high rate of adoption: 89% of all alerts by the system were evaluated by a physician or advanced practice provider and 38% of evaluated alerts were confirmed by a provider. Adjusting for patient presentation and severity, patients with sepsis whose alert was confirmed by a provider within 3 h had a 1.85-h (95% CI 1.66-2.00) reduction in median time to first antibiotic order compared to patients with sepsis whose alert was either dismissed, confirmed more than 3 h after the alert or never addressed in the system. Finally, we found that emergency department providers and providers who had previous interactions with an alert were more likely to interact with alerts, as well as to confirm alerts on retrospectively identified patients with sepsis. Beyond efforts to improve the performance of early warning systems, efforts to improve adoption are essential to their clinical impact and should focus on understanding providers' knowledge of, experience with and attitudes toward such systems.

Effect of Corticosteroids on Left Ventricular Function in Patients With Cardiac Sarcoidosis.

Cardiac sarcoidosis (CS) is an important cause of cardiomyopathy. The trajectory of left ventricular ejection fraction (LVEF) in patients with CS undergoing treatment remains unclear. Patients with CS who were treated with corticosteroids and who underwent transthoracic echocardiography were studied. Baseline characteristics, treatment, echocardiographic data (including baseline to follow-up change in LVEF), and outcomes were retrospectively evaluated. Among 100 patients, 55 had baseline reduced LVEF (<50%), and 45 had preserved LVEF (≥50%). At follow-up, 82% of patients demonstrated stable or improved LVEF. Change in LVEF was significantly higher in the baseline reduced than in the preserved LVEF group (5% [interquartile range 0 to 15] vs 0% [interquartile range -10% to 5%], p = 0.001). There was no difference in corticosteroid exposure or use of heart failure guideline-directed medical therapy between patients who did experience improvement in LVEF and those who did not experience improvement in LVEF. On multivariable analysis, baseline reduced LVEF (Odds ratio 54.89, 95% confidence interval 3.84 to 785.09, p = 0.003) and complete heart block (Odds ratio 28.88, 95% confidence interval 2.17 to 383.74, p = 0.011) at presentation were significantly associated with reduced LVEF after treatment. In conclusion, most patients with CS treated with corticosteroids maintain or improve LV systolic function. Cardiac characteristics at presentation impact prognosis in CS, despite treatment.

Cardiac sarcoidosis outcome differences: A comparison of patients with de novo cardiac versus known extracardiac sarcoidosis at presentation.

BACKGROUND: Sarcoidosis is a systemic disease characterized by granulomatous inflammation. Cardiac involvement is associated with increased morbidity. However, differences in clinical characteristics and outcomes based on initial sarcoidosis organ manifestation in patients with cardiac sarcoidosis (CS) have not been described. METHODS: A retrospective cohort of 252 patients with CS at an urban, quaternary medical center was studied. Presentation, treatment and outcomes of de novo CS and prior ECS groups were compared. Survival free of primary composite outcome (left ventricular assist device implantation, orthotopic heart transplantation (OHT), or death) was assessed. RESULTS: There were 124 de novo CS patients and 128 with prior ECS at time of CS diagnosis. De novo CS patients were younger at CS diagnosis (p = 0.020). De novo CS patients had a more advanced cardiac presentation: lower left ventricular ejection fraction (LVEF) (p < 0.001), more frequent sustained ventricular arrhythmias (VA) (p = 0.001), and complete heart block (p = 0.001). During follow-up, new VA (p < 0.001), ventricular tachycardia ablation (p < 0.001), and OHT (p = 0.003) were more common in the de novo CS group. Outcome free survival was significantly shorter for de novo CS patients (p = 0.005), with increased hazard of primary composite outcome (p = 0.034) and development of new VA (p = 0.027) when compared to ECS patients. Overall mortality was similar between groups. CONCLUSION: Patients presenting with CS as their first recognized organ manifestation of sarcoidosis have an increased risk of adverse cardiac outcomes as compared to those with a prior history of ECS. Improved awareness and diagnosis of CS is warranted for earlier recognition.

The association of baseline sarcoidosis measurements with 6-month outcomes that are of interest to patients: Results from the On-line Sarcoidosis Assessment Platform Study (OSAP).

INTRODUCTION: The impact of common measures to assess sarcoidosis have not been compared longitudinally to outcomes that are meaningful to patients. We prospectively examined the relationship of baseline measurements of sarcoidosis status to outcomes of interest to patients longitudinally over 6 months. METHODS: Sarcoidosis patients cared for at 6 US medical centers were "phenotyped" at baseline with measurements of pulmonary function, organ involvement, health related quality of life (HRQoL) instruments, and their anti-sarcoidosis treatment history. These patients were followed for 6 months by monitoring outcomes of interest to patients (OIPs) including steps walked, calories expended, sleep, HRQoL measures, workdays missed and health care utilization. For each baseline phenotypic measurement, patients were dichotomized into two groups above and below a specified cutoff value. The area under the OIP versus time curve was compared between these two groups. RESULTS: The cutoff values for many baseline phenotypic measures distinguished the patients into groups with significantly different 6-month OIPs. The chosen cutoff for the patient global estimate of health status distinguished the most OIPs (13/15). The 6-min walk distance cutoff was associated with more OIPs than spirometric measures. All of the HRQOL measure cutoffs were associated with many OIPs, although most of them were other HRQOL measures. INTERPRETATION: Cutoffs for most of the phenotypic measures used to assess sarcoidosis distinguished groups of sarcoidosis patients with differing OIPs over the subsequent 6 months. The patients' global assessment of their disease was the most accurate of these measures. CLINICAL TRIAL REGISTRATION NUMBER: NCT04342403.

Sarcoidosis-Related Cardiomyopathy: Current Knowledge, Challenges, and Future Perspectives State-of-the-Art Review.

The prevalence of sarcoidosis-related cardiomyopathy is increasing. Sarcoidosis impacts cardiac function through granulomatous infiltration of the heart, resulting in conduction disease, arrhythmia, and/or heart failure. The diagnosis of cardiac sarcoidosis (CS) can be challenging and requires clinician awareness as well as differentiation from overlapping diagnostic phenotypes, such as other forms of myocarditis and arrhythmogenic cardiomyopathy. Clinical manifestations, extracardiac involvement, histopathology, and advanced cardiac imaging can all lend support to a diagnosis of CS. The mainstay of therapy for CS is immunosuppression; however, no prospective clinical trials exist to guide management. Patients may progress to developing advanced heart failure or ventricular arrhythmia, for which ventricular assist device therapies or heart transplantation may be considered. The existing knowledge gaps in CS call for an interdisciplinary approach to both patient care and future investigation to improve mechanistic understanding and therapeutic strategies.

Risk Factors for Infection and Health Impacts of the Coronavirus Disease 2019 (COVID-19) Pandemic in People With Autoimmune Diseases.

BACKGROUND: People with autoimmune or inflammatory conditions taking immunomodulatory/suppressive medications may have higher risk of novel coronavirus disease 2019 (COVID-19). Chronic disease care has also changed for many patients, with uncertain downstream consequences. METHODS: We included participants with autoimmune or inflammatory conditions followed by specialists at Johns Hopkins. Participants completed periodic surveys querying comorbidities, disease-modifying medications, exposures, COVID-19 testing and outcomes, social behaviors, and disruptions to healthcare. We assessed whether COVID-19 risk is higher among those on immunomodulating or suppressive agents and characterized pandemic-associated changes to care and mental health. RESULTS: In total, 265 (5.6%) developed COVID-19 over 9 months of follow-up (April-December 2020). Patient characteristics (age, race, comorbidity, medications) were associated with differences in social distancing behaviors during the pandemic. Glucocorticoid exposure was associated with higher odds of COVID-19 in models incorporating behavior and other potential confounders (odds ratio [OR]: 1.43; 95% confidence interval [CI]: 1.08, 1.89). Other medication classes were not associated with COVID-19 risk. Diabetes (OR: 1.72; 95% CI: 1.08, 2.73), cardiovascular disease (OR: 1.68; 95% CI: 1.24, 2.28), and kidney disease (OR: 1.76; 95% CI: 1.04, 2.97) were associated with higher odds of COVID-19. Of the 2156 reporting pre-pandemic utilization of infusion, mental health or rehabilitative services, 975 (45.2%) reported disruptions therein, which disproportionately affected individuals experiencing changes to employment or income. CONCLUSIONS: Glucocorticoid exposure may increase risk of COVID-19 in people with autoimmune or inflammatory conditions. Disruption to healthcare and related services was common. Those with pandemic-related reduced income may be most vulnerable to care disruptions.

Defining CD4 T helper and T regulatory cell endotypes of progressive and remitting pulmonary sarcoidosis (BRITE): protocol for a US-based, multicentre, longitudinal observational bronchoscopy study.

INTRODUCTION: Sarcoidosis is a multiorgan granulomatous disorder thought to be triggered and influenced by gene-environment interactions. Sarcoidosis affects 45-300/100 000 individuals in the USA and has an increasing mortality rate. The greatest gap in knowledge about sarcoidosis pathobiology is a lack of understanding about the underlying immunological mechanisms driving progressive pulmonary disease. The objective of this study is to define the lung-specific and blood-specific longitudinal changes in the adaptive immune response and their relationship to progressive and non-progressive pulmonary outcomes in patients with recently diagnosed sarcoidosis. METHODS AND ANALYSIS: The BRonchoscopy at Initial sarcoidosis diagnosis Targeting longitudinal Endpoints study is a US-based, NIH-sponsored longitudinal blood and bronchoscopy study. Enrolment will occur over four centres with a target sample size of 80 eligible participants within 18 months of tissue diagnosis. Participants will undergo six study visits over 18 months. In addition to serial measurement of lung function, symptom surveys and chest X-rays, participants will undergo collection of blood and two bronchoscopies with bronchoalveolar lavage separated by 6 months. Freshly processed samples will be stained and flow-sorted for isolation of CD4 +T helper (Th1, Th17.0 and Th17.1) and T regulatory cell immune populations, followed by next-generation RNA sequencing. We will construct bioinformatic tools using this gene expression to define sarcoidosis endotypes that associate with progressive and non-progressive pulmonary disease outcomes and validate the tools using an independent cohort. ETHICS AND DISSEMINATION: The study protocol has been approved by the Institutional Review Boards at National Jewish Hospital (IRB# HS-3118), University of Iowa (IRB# 201801750), Johns Hopkins University (IRB# 00149513) and University of California, San Francisco (IRB# 17-23432). All participants will be required to provide written informed consent. Findings will be disseminated via journal publications, scientific conferences, patient advocacy group online content and social media platforms.

Management of Cardiac Sarcoidosis Using Mycophenolate Mofetil as a Steroid-Sparing Agent.

BACKGROUND: Cardiac sarcoidosis (CS) is a major cause of morbidity and mortality in patients with systemic sarcoidosis. Steroid-sparing agents are increasingly used, despite a lack of randomized trials or published guidelines to direct treatment. METHODS AND RESULTS: This retrospective study included 77 patients with CS treated with prednisone monotherapy (n = 32) or a combination with mycophenolate mofetil (n = 45) between 2003 and 2018. Baseline characteristics and clinical outcomes were evaluated. The mean patient age was 53 ± 11 years at CS diagnosis, 66.2% were male, and 35.1% were Black. The total exposure to maximum prednisone dose (initial prednisone dose × days at dose) was lower in the combination therapy group (1440 mg [interquartile range (IQR), 1200-2760 mg] vs 2710 mg [IQR, 1200-5080 mg]; P = .06). On 18F-fluorodeoxyglucose positron emission tomography scans, both groups demonstrated a significant decrease in the cardiac maximum standardized uptake value after treatment: a median decrease of 3.9 (IQR 2.7-9.0, P = .002) and 2.9 (IQR 0-5.0, P = .001) for prednisone monotherapy and combination therapy, respectively. Most patients experienced improvement or complete resolution in qualitative cardiac 18F-fluorodeoxyglucose uptake (92.3% and 70.4% for the prednisone and combination therapy groups, respectively). Mycophenolate mofetil was well tolerated. CONCLUSIONS: Mycophenolate mofetil in combination with prednisone for the treatment of CS may minimize corticosteroid exposure and decrease cardiac inflammation without significant adverse effects.

Transcriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis.

BACKGROUND: Sarcoidosis is a multisystem granulomatous disease of unknown origin with a variable and often unpredictable course and pattern of organ involvement. In this study we sought to identify specific bronchoalveolar lavage (BAL) cell gene expression patterns indicative of distinct disease phenotypic traits. METHODS: RNA sequencing by Ion Torrent Proton was performed on BAL cells obtained from 215 well-characterised patients with pulmonary sarcoidosis enrolled in the multicentre Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study. Weighted gene co-expression network analysis and nonparametric statistics were used to analyse genome-wide BAL transcriptome. Validation of results was performed using a microarray expression dataset of an independent sarcoidosis cohort (Freiburg, Germany; n=50). RESULTS: Our supervised analysis found associations between distinct transcriptional programmes and major pulmonary phenotypic manifestations of sarcoidosis including T-helper type 1 (Th1) and Th17 pathways associated with hilar lymphadenopathy, transforming growth factor-ß1 (TGFB1) and mechanistic target of rapamycin (MTOR) signalling with parenchymal involvement, and interleukin (IL)-7 and IL-2 with airway involvement. Our unsupervised analysis revealed gene modules that uncovered four potential sarcoidosis endotypes including hilar lymphadenopathy with increased acute T-cell immune response; extraocular organ involvement with PI3K activation pathways; chronic and multiorgan disease with increased immune response pathways; and multiorgan involvement, with increased IL-1 and IL-18 immune and inflammatory responses. We validated the occurrence of these endotypes using gene expression, pulmonary function tests and cell differentials from Freiburg. CONCLUSION: Taken together, our results identify BAL gene expression programmes that characterise major pulmonary sarcoidosis phenotypes and suggest the presence of distinct disease molecular endotypes.

Comparing Critical Care Admissions Among Urban Populations Before and During the COVID-19 Pandemic.

In the context of the COVID-19 pandemic, reassessing intensive care unit (ICU) use by population should be a priority for hospitals planning for critical care resource allocation. In our study, we reviewed the impact of COVID-19 on a community hospital serving an urban region, comparing the sociodemographic distribution of ICU admissions before and during the pandemic. We executed a time-sensitive analysis to see if COVID-19 ICU admissions reflect the regional sociodemographic populations and ICU admission trends before the pandemic. Sociodemographic variables included sex, race, ethnicity, and age of adult patients (ages 18 years and older) admitted to the hospital's medical and cardiac ICUs, which were converted to COVID-19 ICUs. The time period selected was 18 months, which was then dichotomized into pre-COVID-19 admissions (December 1, 2018 to March 13, 2020) and COVID-19 ICU admissions (March 14 to May 31, 2020). Variables were compared using Fisher's exact tests and Wilcoxon tests when appropriate. During the 18-month period, 1,861 patients were admitted to the aforementioned ICUs. The mean age of the patients was 62.75 (SD 15.57), with the majority of these patients being male (52.23%), White (64.43%), and non-Hispanic/Latinx (95.75%). Differences were found in racial and ethnic distribution comparing pre-COVID-19 admissions to COVID-19 admissions. Compared with pre-COVID-19 ICU admissions, we found an increase in African American versus White admissions (P = .01) and an increase in Hispanic/Latinx versus non-Hispanic/Latinx admissions (P < .01), during the COVID-19 pandemic. During the first 3 months of admissions to COVID-19 ICUs, the number of admissions among Hispanic/Latinx and African American patients increased while the number of admissions among non-Hispanic/Latinx and White patient decreased, compared with the pre-COVID-19 period. These findings support development of strategies to enhance allocation of resources to bolster novel, equitable strategies to mitigate the incidence of COVID-19 in urban populations.

RISK FACTORS FOR INFECTION AND HEALTH IMPACTS OF THE COVID-19 PANDEMIC IN PEOPLE WITH AUTOIMMUNE DISEASES.

Background: People with autoimmune or inflammatory conditions who take immunomodulatory/suppressive medications may have a higher risk of novel coronavirus disease 2019 (COVID-19). Chronic disease care has also changed for many patients, with uncertain downstream consequences. Objective: Assess whether COVID-19 risk is higher among those on immunomodulating or suppressive agents and characterize pandemic-associated changes to care. Design: Longitudinal registry study. Participants: 4666 individuals with autoimmune or inflammatory conditions followed by specialists in neurology, rheumatology, cardiology, pulmonology or gastroenterology at Johns Hopkins. Measurements: Periodic surveys querying comorbidities, disease-modifying medications, exposures, COVID-19 testing and outcomes, social behaviors, and disruptions to healthcare. Results: A total of 265 (5.6%) developed COVID-19 over 9 months of follow-up (April-December 2020). Patient characteristics (age, race, comorbidity, medication exposure) were associated with differences in social distancing behaviors during the pandemic. Glucocorticoid exposure was associated with higher odds of COVID-19 in multivariable models incorporating behavior and other potential confounders (OR: 1.43; 95%CI: 1.08, 1.89). Other medication classes were not associated with COVID-19 risk. Diabetes (OR: 1.72; 95%CI: 1.08, 2.73), cardiovascular disease (OR: 1.68; 95%CI: 1.24, 2.28), and chronic kidney disease (OR: 1.76; 95%CI: 1.04, 2.97) were each associated with higher odds of COVID-19. Pandemic-related disruption to care was common. Of the 2156 reporting pre-pandemic utilization of infusion, mental health or rehabilitative services, 975 (45.2%) reported disruptions. Individuals experiencing changes to employment or income were at highest odds of care disruption. Limitations: Results may not be generalizable to all patients with autoimmune or inflammatory conditions. Information was self-reported. Conclusions: Exposure to glucocorticoids may increase risk of COVID-19 in people with autoimmune or inflammatory conditions. Disruption to healthcare and related services was common. Those with pandemic-related reduced income may be most vulnerable to care disruptions.

Implementation of a Protocol Using the 5-Item Brief Alcohol Withdrawal Scale for Treatment of Severe Alcohol Withdrawal in Intensive Care Units.

BACKGROUND: There is variation in the treatment of patients with severe alcohol withdrawal and a need for effective protocols. The purpose of this study was to evaluate the implementation of a symptom-triggered benzodiazepine protocol using the 5-item Brief Alcohol Withdrawal Scale (BAWS) for treatment of alcohol withdrawal in intensive care units (ICUs). METHODS: This retrospective study included admissions to ICUs of 2 hospitals over 6 months who had an alcohol withdrawal protocol ordered and experienced severe withdrawal. Records were reviewed to collect demographic data, benzodiazepine exposure, duration of treatment, and withdrawal severity. RESULTS: The protocol was ordered and implemented in 279 admissions; 48 (17.9%) had severe withdrawal defined as a BAWS of 6 or more. The majority of the 48 patients were from the emergency department (79.2%); mean hospital length of stay was 11.2 days and mean ICU stay 6.6 days; 31.3% required mechanical ventilation. A little more than half were treated only with the protocol (53.2%); 25.0% received additional benzodiazepines, 20.8% dexmedetomidine, 10.4% propofol, 25.0% antipsychotics and 2.0% phenobarbital. CONCLUSION: Among ICU patients treated for alcohol withdrawal with a symptom-triggered benzodiazepine protocol using a novel 5-item scale, most did not develop severe withdrawal, and of those who did, approximately half were treated with the protocol alone.

Evaluating the Minimal Clinically Important Difference of the King's Sarcoidosis Questionnaire in a Multicenter Prospective Study.

Rationale: Improvement of quality of life (QoL) in patients with sarcoidosis is an important goal of management. The King's Sarcoidosis Questionnaire (KSQ) and Patient Global Assessment (PGA) are instruments that have been used in sarcoidosis.Objectives: We defined the minimal clinically important difference (MCID) as the within-patient clinically meaningful change threshold and determined the MCID of KSQ general health (KSQ GH), KSQ lung, and PGA using both anchor and distribution methods. The discriminatory properties of these MCIDs relative to other QoL instruments were then determined.Methods: Patients with sarcoidosis recruited from six centers in the United States were prospectively studied. Initially and at 6 months, patients completed a series of QoL questionnaires, including the St. George's Respiratory Questionnaire (SGRQ), Short Form 36 (SF-36), Fatigue Assessment Scale (FAS), Sarcoidosis Assessment Tool (SAT), KSQ, and PGA, and spirometry. For the anchor method, receiver operator characteristic curves were used to determine the MCID for improvement or worsening. The distribution method using half of the standard deviation was calculated for KSQ GH, KSQ lung, and PGA.Results: Of the 325 patients enrolled in the study, 271 completed the 6-month evaluation. At 6 months, approximately half of patients were worse and 30% were improved based on previously established MCID values for the SGRQ, SF-36, and FAS. There were no discordant cases. There were significant correlations between the KSQ GH, KSQ lung, and PGA and most parameters assessed. The best correlations were with the SGRQ, SF-36, and FAS, which have established MCID values. Using anchor analysis, we found that most of the domains of SGRQ and SF-36 were able to determine the significant MCIDs for all three variables. These MCIDs were similar to those determined by the half least square method. We propose an MCID of 8 for the KSQ GH, an MCID of 4 for the KSQ lung, and an MCID of 2 for the PGA because these values captured >90% of parameters studied. These MCID values discriminated between changes in other QoL instruments.Conclusions: The determination of MCID values for KSQ lung, KSQ GH, and PGA may prove useful for clinical practice as well as clinical trials.

Gene coexpression networks reveal novel molecular endotypes in alpha-1 antitrypsin deficiency.

BACKGROUND: Alpha-1 antitrypsin deficiency (AATD) is a genetic condition that causes early onset pulmonary emphysema and airways obstruction. The complete mechanisms via which AATD causes lung disease are not fully understood. To improve our understanding of the pathogenesis of AATD, we investigated gene expression profiles of bronchoalveolar lavage (BAL) and peripheral blood mononuclear cells (PBMCs) in AATD individuals. METHODS: We performed RNA-Seq on RNA extracted from matched BAL and PBMC samples isolated from 89 subjects enrolled in the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study. Subjects were stratified by genotype and augmentation therapy. Supervised and unsupervised differential gene expression analyses were performed using Weighted Gene Co-expression Network Analysis (WGCNA) to identify gene profiles associated with subjects' clinical variables. The genes in the most significant WGCNA module were used to cluster AATD individuals. Gene validation was performed by NanoString nCounter Gene Expression Assay. RESULT: We observed modest effects of AATD genotype and augmentation therapy on gene expression. When WGCNA was applied to BAL transcriptome, one gene module, ME31 (2312 genes), correlated with the highest number of clinical variables and was functionally enriched with numerous immune T-lymphocyte related pathways. This gene module identified two distinct clusters of AATD individuals with different disease severity and distinct PBMC gene expression patterns. CONCLUSIONS: We successfully identified novel clusters of AATD individuals where severity correlated with increased immune response independent of individuals' genotype and augmentation therapy. These findings may suggest the presence of previously unrecognised disease endotypes in AATD that associate with T-lymphocyte immunity and disease severity.