Li, Zhuo

AbstractIntroductionFor patients with catecholamine‐resistant vasoplegic syndrome (VS) during liver transplantation (LT), treatment with methylene blue (MB) and/or hydroxocobalamin (B12) has been an acceptable therapy. However, data on the effectiveness of B12 is limited to case reports and case series.MethodsWe retrospectively reviewed records of patients undergoing LT from January 2016 through March 2022. We identified patients with VS treated with vasopressors and MB, and abstracted hemodynamic parameters, vasopressor requirements, and B12 administration from the records. The primary aim was to describe the treatment efficacy of B12 for VS refractory to vasopressors and MB, measured as no vasopressor requirement at the conclusion of the surgery.ResultsOne hundred one patients received intraoperative VS treatment. For the 35 (34.7%) patients with successful VS treatment, 14 received MB only and 21 received both MB and B12. Of the 21 patients with VS resolution after receiving both MB and B12, 17 (89.5%) showed immediate, but transient, hemodynamic improvements at the time of MB administration and later showed sustained response to B12.ConclusionImmediate but transient hemodynamic response to MB in VS patients during LT supports the diagnosis of VS and should prompt B12 administration for sustained treatment response.

AbstractBackgroundPerturbations in immune pathways are strongly associated with Alzheimer’s disease. A positive association between autoimmune diseases and frontotemporal dementia has been reported. We explored whether early onset Alzheimer’s disease (EOAD) would associate with autoimmune diseases.MethodWe compared 313 patients with EOAD from the Mayo Clinic Florida, Alzheimer’s Disease Research Center (ADRC) Registry with matched cognitively normal controls (NC) based on age (+/‐ 2 years) and gender at 1:2 ratio. NC were derived from Mayo Clinic Biobank Project, Rochester (N = 313) and the Mayo Clinic Study of Aging (N = 313). Data abstraction was performed by trained statisticians using ICD 9&10 codes corresponding to 40 specified autoimmune diseases and/or documentation of specified immunomodulatory treatment. Data was also abstracted via retrospective record review. We further reviewed clinical records from EOAD patients with neuropathologically confirmed Alzheimer’s disease patients enrolled in the ADRC (n = 10). Each autoimmune disease type was compared between cases and controls using Fisher’s exact test. All tests were two‐sided with alpha level set at 0.05 for statistical significance. Continuous variables were summarized as median (range) while categorical variables were reported as frequency (percentage). The prevalence of autoimmune disease in the general population was based off Hayter & Cook, 2012 and Roberts & Erdei, 2020. All data abstraction was done blinded to the clinical diagnosis and baseline demographics.ResultAutoimmune disease history was abstracted from 949 patient records (313 EOAD, 10 pathologically‐confirmed EOAD, 626 NCI). The median age was 57 years‐old. (EOAD range 28,65 yrs.; NC 30,66 yrs.). Autoimmune thyroiditis (p = 0.0008), ulcerative colitis (p = 0.011, psoriasis (<0.0001), rheumatoid arthritis (p = 0.0005), and Raynaud’s syndrome (p = 0.0021) were less prevalent in patients with EOAD compared to NC. Furthermore, patients with EOAD had a lower prevalence of immune mediated hematologic disorders.ConclusionPatients with EOAD have a lower prevalence of autoimmune diseases than NC. Immune activation identified in early onset AD patients may be unrelated to autoimmunity. Findings should be explored in late onset AD patients.

Background/Objective Few studies have investigated associations between rheumatologic serology patterns and different interstitial lung disease (ILD) patterns. Methods We present novel findings of a historic cohort study (n = 454) with data collected from 2011 to 2021 within our hospital system. In this institutional review board–approved study, data regarding rheumatologic serologies and ILD patterns were noted based on chart review in patients with scleroderma. The Kruskal-Wallis rank sum and χ 2 tests were used for statistical analysis. Results Results showed a statistically significant association between anti-U1 snRNP with lymphoid interstitial pneumonia, which has not been previously described. Conclusions We demonstrated novel serologic associations with ILD patterns, which have important clinical implications. More robust and high-powered studies are needed to elucidate the role of serologic testing and their association with ILD phenotypes.

OBJECTIVES: To systematically review literature describing the clinical presentation, risk factors, and treatment for dexmedetomidine withdrawal in the PICU (PROSPERO: CRD42022307178). DATA SOURCES: MEDLINE/PubMed, Cochrane, Web of Science, and Scopus databases were searched. STUDY SELECTION: Eligible studies were published from January 2000 to January 2022 and reported clinical data for patients younger than 21 years old following discontinuation of dexmedetomidine after greater than or equal to 24 hours of infusion. DATA EXTRACTION: Abstracts identified during an initial search were screened and data were manually abstracted after full-text review of eligible articles. The Newcastle-Ottawa Scale was used to assess study quality. Summary statistics were provided and Spearman rank correlation coefficient was used to identify relationships between covariates and withdrawal signs. A weighted prevalence for each withdrawal sign was generated using a random-effects model. DATA SYNTHESIS: Twenty-three studies (22 of which were retrospective cohort studies) containing 28 distinct cohorts were included. Median cumulative dexmedetomidine exposure by dose was 105.95 μg/kg (range, 30–232.7 μg/kg), median dexmedetomidine infusion duration was 131.75 hours (range, 20.5–525.6 hr). Weighted estimates for proportion (95% CI) of subjects experiencing withdrawal signs across all cohorts were: hypertension 0.34 (range, 0.0–0.92), tachycardia 0.26 (range, 0.0–0.87), and agitation 0.26 (range, 0.09–0.77). Meta-analysis revealed no correlation between dexmedetomidine exposure variables and withdrawal signs. A moderate negative monotonic relationship existed between the proportion of patients who had undergone cardiac surgery and the proportion experiencing hypertension (correlation coefficient, –0.47; p = 0.048) and tachycardia (correlation coefficient, –0.57; p = 0.008), indicating that in cohorts with a higher proportion of patients who were postcardiac surgery, there were fewer occurrences of hypertension and or tachycardia. CONCLUSIONS: On review of the 2000–2022 literature, dexmedetomidine withdrawal may be characterized by tachycardia, hypertension, or agitation, particularly with higher cumulative doses or prolonged durations. Since most studies included in the review were retrospective, prospective studies are needed to further clarify risk factors, establish diagnostic criteria, and identify optimal management strategies.

Introduction: This study evaluated patient preference of physician attire both before and after the coronavirus disease 2019 (COVID-19) global pandemic began. The primary outcome was patient preference of physician attire in 2017 compared to 2022 survey cohorts. Methods: An observational cross-sectional study performed at a single-site academic institution in the United States using patient survey materials. In total, 339 patients were included in the study, 161 from 2017 and 178 from 2022. Key Points: There was a statistically significant decrease in patient preference for formal attire in the clinical settings of primary care, hospital, and overall. Male patient preference for formal attire declined in primary care, emergency room, and overall; whereas female patient preference for formal attire declined in the hospital setting. For all genders, the odds ratio was statistically significantly lower in the settings of primary care clinic, hospital, and overall clinical settings. Conclusions: Patient preference for physicians wearing formal attire has decreased significantly since the COVID-19 global pandemic began.

ObjectiveThe aim was to study laryngological complaints in patients with hypermobile Ehlers‐Danlos syndrome (hEDS) or hypermobility spectrum disorders (HSD).MethodsA total of 363 patients met inclusion for the study by completing questions related to voice, upper airway, and swallowing between July 7, 2020 and July 13, 2022. Demographic data, voice‐related questions, and hypermobility diagnosis were analyzed retrospectively. From those, 289 patients were diagnosed with hEDS or HSD with 74 that did not meet the diagnostic criteria for either diagnosis serving as controls.ResultsThere were no statistically significant differences between patients with hEDS and HSD regarding Voice Handicap Index (VHI‐10) scores, voice, upper airway, or swallow complaints. However, more hEDS/HSD patients answered positively to the laryngeal dysfunction question versus controls (p = 0.031). 22.5% of hEDS/HSD patients (n = 65) reported hoarseness, of which 52.3% reported hoarseness >2 days/month. 33.9% (n = 98) with hEDS/HSD reported symptoms of dysphagia, and 27.0% (n = 78) reported laryngeal dysfunction symptoms. Controls demonstrated 20.3% prevalence of hoarseness, of which 46.7% reported hoarseness >2 days/month. 24.3% of controls had dysphagia and 14.9% laryngeal dysfunction symptoms. Of the 363 patients, VHI‐10 scores >11 were more likely in patients reporting >2 days of hoarseness/month (p = 0.001) versus those with <2 days of hoarseness/month. There was an increased prevalence of voice, upper airway, and dysphagia symptoms in hEDS/HSD patients compared with previously reported prevalence data in the general population.ConclusionA significant proportion of patients diagnosed with hypermobility due to hEDS or HSD were found to have voice, upper airway, and dysphagia symptoms. These rates are higher than those previously reported in the general population.Level of Evidence3 Laryngoscope, 134:773–778, 2024

Identifying risk factors for post-acute sequelae of COVID-19 (PASC) is important. We conducted a multicenter cross-sectional survey study to define and characterize risk factors for severe COVID-19 in adults (≥18 years) treated at our virtual COVID-19 clinic from March 1, 2020, through March 31, 2021. We assessed patient demographics, symptom types, and persistence, incidence of PASC, and COVID-19–caused hospitalizations. Surveyed patients were also asked to rate their perception of the severity of their acute COVID-19 symptoms. Continuous variables were summarized descriptively. Differences among groups categorized by acute COVID-19 symptom severity level (mild/very mild, moderate, and severe/very severe) were evaluated with the Kruskal–Wallis rank sum test for continuous measures and the Pearson χ 2 test for categorical measures. A total of 3094 adults completed the survey. More respondents with severe/very severe acute COVID-19 symptoms reported having PASC than did those with mild/very mild and moderate acute symptoms. A significantly greater proportion of respondents with PASC were women (68.4% vs 56.7%, p < 0.001), had been hospitalized (12.2% vs 4.4%, p < 0.001), reported having negative psychological COVID-19–related repercussions (39.9% vs 15.3%, p < 0.001), and required more than 1 month to resume normal activities (38.8% vs 12.9%, p < 0.001) than did those without PASC. These findings may improve our understanding of PASC and provide a framework for early recognition of and intervention for patients at higher risk for PASC. Further research is needed to understand the predictors of persistent symptoms after acute SARS-CoV-2 infection and the risk of PASC.

Coronavirus disease 2019 (COVID-19) is caused by the novel coronavirus SARS-CoV-2 and has caused significant mortality and morbidity since it was first recognized in Wuhan, China in December 2019. Patients may suffer from a constellation of symptoms termed post-acute sequelae of COVID-19 (PASC) . Here we present findings of a retrospective cohort study describing the prevalence and predicting factors of patient-reported post-acute sequelae of COVID-19 (PASC). Categorical variables were summarized as frequency (percentage) and compared between vaccine status groups using Fisher’s exact test. Continuous variables were reported as median (range) and compared between the groups using Kruskal-Wallis test. All tests were two-sided with p value <0.05 considered statistically significant. Survey data from 132 patients with a median age of 45 years, 68% female, 83% Caucasian/Non-Hispanic. The most frequently reported PASC symptoms include fatigue (84.8%), dyspnea (54.5%), cognitive dysfunction (53%), myalgias (37.1%), lightheadedness or vertigo (36.4%), chest pain (34.8%), palpitations (34.8%), headaches (34.1%), arthralgias (31.8%), and unrefreshing sleep (31.1%). There is mounting evidence that supports higher prevalence of PASC in women, White/Caucasian, and middle-aged individuals. This knowledge can provide guidance to clinical practices to anticipate and support healthcare and self-care needs for patients at higher risk to developing PASC.

Background There is a scarcity of validated rapid dietary screening tools for patient use in the clinical setting to improve health and reduce cardiovascular risk. The Healthy Eating Index (HEI) 2015 measures compliance with the 2015 to 2020 Dietary Guidelines for Americans but requires completion of an extensive diet assessment to compute, which is time consuming and impractical. The authors hypothesize that a 19‐item dietary survey assessing consumption of common food groups known to affect health will be correlated with the HEI‐2015 assessed by a validated food frequency questionnaire and can be further reduced without affecting validity. Methods and Results A 19‐item Eating Assessment Tool (EAT) of common food groups was created through literature review and expert consensus. A cross‐sectional survey was then conducted in adult participants from a preventive cardiology clinic or cardiac rehabilitation and in healthy volunteers (n=661, mean age, 36 years; 76% women). Participants completed an online 156‐item food frequency questionnaire, which was used to calculate the HEI score using standard methods. The association between each EAT question and HEI group was analyzed by Kruskal‐Wallis test. Linear regression models were subsequently used to identify univariable and multivariable predictors for HEI score for further reduction in the number of items. The final 9‐item model of Mini‐EAT was validated by 5‐fold cross validation. The 19‐item EAT had a strong correlation with the HEI score ( r =0.73) and was subsequently reduced to the 9 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, fish or seafood, legumes/nuts/seeds, low‐fat dairy, high‐fat dairy, and sweets consumption, without affecting the predictive ability of the tool ( r =0.71). Conclusions Mini‐EAT is a 9‐item validated brief dietary screener that correlates well with a comprehensive food frequency questionnaire. Future studies to test the Mini‐EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.