Citations

ABSTRACTBackgroundCoccidioidomycosis is a fungal infection that poses a serious risk when transmitted through organ transplantation. We analyzed cases reported to the Organ Procurement and Transplantation Network ad hoc Disease Transmission Advisory Committee from 2013 to 2022.MethodsDonors and/or recipients who had positive Coccidioides immitis/posadasii serology, pathology, and/or culture were included in this study. Cases adjudicated as ‘proven’ or ‘probable’ were analyzed for donor infection risk factors, the timing of infection, transmission by organ type, clinical manifestations, and recipient outcomes. Patient and facility identifiers were removed prior to review.ResultsDuring this time period, 73 potential instances of Coccidioides donor disease transmission events were reported. Among them, infection was transmitted from seven deceased donors to eight recipients. All seven deceased donors had prior infection or exposure to regions where coccidioidomycosis is endemic. Of 20 individuals receiving organs from these donors, eight developed infection, resulting in a 40% transmission rate. The median time to diagnosis post‐transplant was 39 days. Disseminated disease occurred in six recipients, five of whom died from the infection. Notably, none of the recipients who received prophylactic antifungal treatment died from the infection.ConclusionDespite its rarity, donor‐derived Coccidioides infection is a serious concern, particularly due to the high mortality rate in the early post‐transplant period. To mitigate these risks, a thorough assessment of donor exposure history, coupled with donor serology and bronchoalveolar lavage cultures, can effectively guide post‐transplant antifungal prophylaxis. Prompt reporting is crucial to prevent Coccidioides infections among other recipients. image

Abstract Rationale Idiopathic pulmonary fibrosis (IPF) is a complex and heterogeneous disease. Given this, we reasoned that differences in genetic profiles may be associated with unique clinical and radiologic features. Computational image analysis, sometimes referred to as radiomics, provides objective, quantitative assessments of radiologic features in subjects with pulmonary fibrosis. Objectives To determine if the genetic risk profile of patients with IPF identifies unique computational imaging phenotypes. Methods Participants with IPF were included in this study if they had genotype data and computed tomography (CT) scans of the chest available for computational image analysis. The extent of lung fibrosis and the likelihood of a usual interstitial pneumonia (UIP) pattern were scored automatically using two separate, previously validated deep learning techniques for CT analysis. UIP pattern was also classified visually by radiologists according to established criteria. Results Among 329 participants with IPF, MUC5B and ZKSCAN1 were independently associated with the deep learning–based UIP score. None of the common variants were associated with fibrosis extent by computational imaging. We did not find an association between MUC5B or ZKSCAN1 and visually assessed UIP pattern. Conclusions Select genetic variants are associated with computer-based classification of UIP on CT in this IPF cohort. Analysis of radiologic features using deep learning may enhance our ability to identify important genotype–phenotype associations in fibrotic lung diseases.

Abstract GBM AGILE(NCT03970447) is a phase 2/3 Bayesian adaptive registration platform trial testing multiple therapies against a common control. Paxalisib, a PI3K/mTOR inhibitor, is the 3rd arm in the trial to conclude evaluation. METHODS Paxalisib was open to patients with newly diagnosed unmethylated (NDU) and recurrent (RD) glioblastoma, with three possible signatures: NDU, RD, and All(NDU+RD). Arm enrollment occurred Dec2020 through May2022. Control patients were enrolled from study initiation (July2019) and were treated with temozolomide(NDU) or lomustine(RD). GBM AGILE investigational arms have 1 or 2 stages, with adaptive randomization in stage 1 and fixed randomization if arms continue to stage 2. Efficacy is based on OS hazard ratio(HR) of Arm/Control. Efficacy goal is final Bayesian probability ≥ 98% for HR<1.00 in combined Stages. An Arm continues to Stage 2 if Bayesian predictive power (PP) ≥ 0.8. An Arm stops accruing in Stage 1 if it reaches maximal sample size(N) or does not meet a minimum efficacy threshold (PP<0.25 for all signatures when N>50). Clinical cut-off is 12 months after accrual stops. The maximum N for paxalisib was approximately 150(Stage 1) and 50(Stage 2). RESULTS After paxalisib reached >150 patients in Stage 1, accrual stopped [Paxalisib/control N 54/75(NDU), 100/188(RD)]. Neither PP thresholds for moving to Stage 2 nor stopping for minimum efficacy were met. Following an unplanned public disclosure that the arm did not continue to stage 2, clinical cut-off for final analysis (planned May2023) was updated to public disclosure date (August2022). At final analysis mean HRs were 0.89(NDU), 1.25(RD), 1.05(All), probabilities of HR<1.00 of 0.72(NDU), 0.076(RD), 0.398(All). Model estimated median OS paxalisib/control (months) were 14.77/13.84(NDU) and 8.58/10.06(RD). CONCLUSION Paxalisib did not show survival benefit over cumulative control in final primary analysis; additional secondary analyses are being considered. GBM AGILE continues to rapidly and efficiently assess therapies in ND and RD glioblastoma.

Introduction: Adderall, the brand name for a combination of dextroamphetamine and amphetamine salts, is used to treat attention deficit disorder and narcolepsy, but is widely abused for improving cognitive function and alertness in absence of a medical indication. While little is known of its acute cardiovascular (CV) physiologic effects, Adderall has been linked to acute CV events (myocardial infarction, tachyarrhythmias, heart failure, Takotsubo cardiomyopathy and sudden death) and to long term CV consequences including hypertension and arterial disease. Aim: To examine the acute CV responses to Adderall in healthy subjects not on stimulant therapy in a randomized double-blind placebo-controlled crossover study. (CT.gov NCT02979327) Methods: Thirty subjects were randomized to 25 mg Adderall versus placebo. We measured supine resting blood pressure (BP), heart rate (HR), and plasma catecholamines, before and 3 hours after consuming Adderall or placebo. Results: Twenty-nine subjects (16 females; aged 25±5 yrs) completed both Adderall and placebo conditions, with a median of 10 days between visits. Systolic BP (SBP) increased from 112±10 mmHg to 127±11 mmHg after use of Adderall but was unchanged before vs after placebo drug intake (112±8 mmHg and 112±9 mmHg respectively; group by time interaction p<0.01). Diastolic BP and mean BP increased by 6.8 mmHg and 8.5 mmHg respectively and HR increased by 7.3 beats/min with Adderall, but they did not change with placebo (p<0.01). Plasma norepinephrine increased from 217±79 pg/ml before to 323±105 pg/ml after Adderall but was unchanged after placebo (p<0.05) (Figure 1). Conclusions: Healthy subjects consuming a modest dose of Adderall manifest striking increases in BP, HR and sympathetic activation, even during supine rest. These findings may have important mechanistic implications for understanding acute CV events and long-term risk of CV disease associated with stimulant medications.

Introduction/Background: Patients admitted with sepsis are at risk of developing septic cardiomyopathy (SCM), which may elevate their risk of short-term mortality. However, the effect of SCM on long-term outcomes after sepsis is poorly understood. This study explores whether patients with sepsis and SCM have worse long-term outcomes compared to those without SCM. Research Questions/Hypothesis: What are the long-term major adverse cardiovascular events, including death, stroke, and myocardial infarction (MACE) 36 months after ICU discharge for septic patients with abnormal global left ventricular strain (LV GLS)? Methods: We conducted a retrospective study of 396 sepsis patients from August 2018 to September 2022, approved by the Mayo Clinic IRB. Patient demographics, comorbidities, echo parameters, and outcomes were collected. Due to the expected non-linear relation between LV GLS and Hazard Ratio (HR) of MACE we employed Cox regression analysis with Restricted Cubic Splines. Secondly, we divided the population into 2 groups, patients with and without normal LV GLS (between -23 and -16). The effect of non-normal LV GLS on MACE was evaluated using Cox regression weight by inverse probability weighting (IPWT) analysis after propensity score assessment, adjusting for diabetes, hypertension, BMI, history of stroke or myocardial infarction, chronic kidney disease, age, and sex. Results: Demographic variables did not differ significantly based on normal versus abnormal LV GLS. In the restricted cox regression with cubic spline models, we observed that patients with normal values had HR lower than one compared with patients without normal values (Figure 1). Secondly, we found that the HR of MACE in patients with normal LV GLS was significantly lower in the crude analysis (HR 0.66 [CI 95% 0.5, 0.86]; p<0.01) and in the analysis adjusted by IPWT (HR 0.7 [CI 95% 0.53, 0.92]; p=0.01). Conclusion: Sepsis patients with abnormal global left ventricular strain (LV GLS) have a higher risk of major adverse cardiovascular events (MACE) within 36 months post-ICU discharge compared to those with normal strain. LV GLS values outside the range of -23 to -16 are associated with increased risk. Monitoring LV GLS in sepsis patients is important for identifying those at elevated risk for long-term cardiovascular complications.

Introduction/Background: Patients with heart failure and those waiting for a heart transplant often experience a significant decrease in their ability to perform daily activities and exercise, leading to a lower quality of life. Although exercise-based cardiac rehabilitation (EBCR) is a possible treatment option, its effectiveness has not been well measured, resulting in limited adoption. Research Questions/Hypothesis: Could physical rehabilitation before receiving a heart transplant improve functional status and better outcomes? Goals/Aims: Our objective is to evaluate the effect of pre-transplant physical therapy on the standardized improvement of AM-PAC scores, measured from the earliest pre-transplant assessment to the most recent pre-transplant evaluation. Our second objective is to assess the impact of the latest Pre-Transplant AM-PAC Score on the number of hospital-free days following transplantation. Methods: We conducted a retrospective study on 91 heart transplant patients who received Impella support from January 2019 to April 2023, approved by the Mayo Clinic Institutional Review Board. We collected data on demographics, AMPAC scores, and outcomes at three time points. Continuous variables were compared using the T-test or Mann-Whitney test, and categorical variables using the Chi-square or Fisher's exact test. We used a linear regression model to investigate the relationship between rehabilitation duration and AMPAC scores. Quantile regression was preferred due to the non-normal distribution of the outcome, hospital-free days. Results: We conducted a linear regression analysis and found a statistically significant association between increased hours spent in PT and greater improvement. After one hour of physical therapy, there was an average increase of 1.07 (95% CI 0.1, 2; p=0.03) in AMPAC scoore. We also compared the change in the AMPAC score with hospital-free days, and it was statistically significant in quantile regression analysis, indicating an increase of 0.28 (95% CI 0.2, 0.55; P=0.03) points in the AMPAC Score, corresponding to an additional hospital-free day. Conclusion: Increased hours spent in physical therapy show a significant positive association with greater improvement in standardized AM-PAC Mobility scores and hospital-free days. These findings encourage increasing uptake and support of cardiac rehabilitation programs.

Introduction: Cancer therapy-induced cardiotoxicity (CTRCD) is one of the most significant adverse effects of oncologic treatment, responsible for considerable morbidity and mortality. Heart failure stands out due to its higher frequency and severity with the focus of most studies being left ventricular dysfunction and remodeling. The right ventricle (RV) may also be damaged by CTRCD, however the effects on RV function have not been elucidated. Research Question: What are the echocardiographic changes in RV due chemotherapy treatment? Objective: To conduct a systematic review and meta-analysis evaluating the RV echocardiographic parameters in patients undergoing chemotherapy treatment. Methods: Pubmed, Embase and Cochrane were systematically searched for studies that assessed RV echocardiographic changes in patients due to chemotherapy treatment. Statistical analysis was performed using the R statistical environment, with a summary estimate using Mean Differences (MD), adopting a random-effects model to account for variability among studies and a two-tailed significance level of 5%. A correlation coefficient of 0.5 was assumed for the paired measurements. Heterogeneity was assessed using the I2 statistic. Results: We included 641 patients from 11 studies, 75.5% of whom were women and with a mean age of 50.2±6.1 years. RV function was significantly lower after cancer treatment, with reduction in the fractional area change (MD -3.53%; CI -5.25, -1.41; p<0.0011 - Figure 1A), RV global longitudinal strain (MD 2.27%; CI 1.24, 3.29; p<0.0011 - Figure 1B) and in RV free wall strain (MD 3.22%; CI 1.76, 4.67; p<0.0001 - figure 1C). Additionally, the pulmonary artery systolic pressure was significantly higher (MD 1.36mmHg; CI 0.32, 2.4; p=0.01 - Figure 1D) and the tricuspid annular plane systolic excursion was significantly reduced (MD -1.98mm; CI -3.27, -0.68; p=0.0027 - Figure 1E) after chemotherapy. Conclusion: RV dysfunction is common in CTRCD and its echocardiographic quantification should be included in clinical practice follow-up during cancer treatment. Further research is needed to elucidate the underlying factors contributing to RV dysfunction in CTRCD and to develop methods for its early detection.

Abstract The field of infectious diseases (ID) offers a rewarding career path and is widely viewed as an essential subspecialty in medicine. However, in recent years, these positive aspects have been overshadowed by concerns surrounding low fellowship match rates, undercompensation, and burnout. The Infectious Diseases Society of America Fellowship Training Program Directors Committee met in 2023, discussed the future of ID as a specialty, and sought to develop strategies to highlight the value and opportunities of ID for future generations, as well as underscore the importance of and provide tools for positive messaging to trainees about the subspecialty. This paper presents ideas generated at this meeting and is meant to serve as a reference for ID training program directors, as well as the wider ID community, in uplifting and shaping the future of the field.

Abstract INTRODUCTION Alzheimer's disease (AD) is the most prevalent neurodegenerative disease, yet our comprehension predominantly relies on studies within non‐Hispanic White (NHW) populations. Here we provide an extensive survey of the proteomic landscape of AD across diverse racial/ethnic groups. METHODS Two cortical regions, from multiple centers, were harmonized by uniform neuropathological diagnosis. Among 998 unique donors, 273 donors self‐identified as African American, 229 as Latino American, and 434 as NHW. RESULTS While amyloid precursor protein and the microtubule‐associated protein tau demonstrated higher abundance in AD brains, no significant race‐related differences were observed. Further proteome‐wide and focused analyses (specific amyloid beta [Aβ] species and the tau domains) supported the absence of racial differences in these AD pathologies within the brain proteome. DISCUSSION Our findings indicate that the racial differences in AD risk and clinical presentation are not underpinned by dramatically divergent patterns in the brain proteome, suggesting that other determinants account for these clinical disparities. Highlights We present a large‐scale proteome (∼10,000 proteins) of DLPFC (998) and STG (244) across AD cases. About 50% of samples were from racially and ethnically diverse brain donors. Key AD proteins (amyloid and tau) correlated with CERAD and Braak stages. No significant race‐related differences in amyloid and tau protein levels were observed in AD brains. AD‐associated protein changes showed a strong correlation between the brain proteomes of African American and White individuals. This dataset advances understanding of ethnoracial‐specific AD pathways and potential therapies.