Citations

ABSTRACTObjectiveTo assess how patient and caregiver factors influence caregiver readiness for hospital discharge in palliative care patients.Study Setting and DesignThis transitional care study uses cross‐sectional data from a randomized controlled trial conducted from 2018 to 2023 testing an intervention for caregivers of hospitalized adult patients with a serious or life‐limiting illness who received a palliative care consult prior to transitioning out of the hospital.Data Sources and Analytical SampleCaregiver readiness was measured with the Family Readiness for Hospital Discharge Scale (n = 231). Caregiver demographic, intra‐ and interpersonal factors were self‐reported. Patient demographic, comorbidity score, and risk score for complicated discharge planning were extracted from electronic health records. Stepwise regression models estimated variance explained (r2) in caregiver readiness for patient hospital discharge.Principal FindingsPatient demographics and complexity were not statistically associated with caregiver readiness for discharge. Caregiver depressive symptoms, poor caregiver‐patient relationship quality, and fewer hours spent caregiving prior to hospitalization explained 29% of the variance in caregiver readiness.ConclusionsReliance on patient data may not be sufficient for explaining caregiver readiness for discharge. Assessing caregiver factors may be a better alternative for identifying caregivers at risk for low discharge readiness and those in need of additional support.Trial Registration: ClinicalTrials.gov on November 13, 2017, (No. NCT03339271)

Importance Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology. Objective To examine the association between depressive symptoms and amyloid pathology and its dependency on age, sex, education, and APOE genotype in older individuals without dementia. Design, Setting, and Participants Cross-sectional analyses were performed using data from the Amyloid Biomarker Study data pooling initiative. Data from 49 research, population-based, and memory clinic studies were pooled and harmonized. The Amyloid Biomarker Study has been collecting data since 2012 and data collection is ongoing. At the time of analysis, 95 centers were included in the Amyloid Biomarker Study. The study included 9746 individuals with normal cognition (NC) and 3023 participants with mild cognitive impairment (MCI) aged between 34 and 100 years for whom data on amyloid biomarkers, presence of depressive symptoms, and age were available. Data were analyzed from December 2022 to February 2024. Main Outcomes and Measures Amyloid-β1-42 levels in cerebrospinal fluid or amyloid positron emission tomography scans were used to determine presence or absence of amyloid pathology. Presence of depressive symptoms was determined on the basis of validated depression rating scale scores, evidence of a current clinical diagnosis of depression, or self-reported depressive symptoms. Results In individuals with NC (mean [SD] age, 68.6 [8.9] years; 5664 [58.2%] female; 3002 [34.0%] APOE ε4 carriers; 937 [9.6%] had depressive symptoms; 2648 [27.2%] had amyloid pathology), the presence of depressive symptoms was not associated with amyloid pathology (odds ratio [OR], 1.13; 95% CI, 0.90-1.40; P = .29). In individuals with MCI (mean [SD] age, 70.2 [8.7] years; 1481 [49.0%] female; 1046 [44.8%] APOE ε4 carriers; 824 [27.3%] had depressive symptoms; 1668 [55.8%] had amyloid pathology), the presence of depressive symptoms was associated with a lower likelihood of amyloid pathology (OR, 0.73; 95% CI 0.61-0.89; P = .001). When considering subgroup effects, in individuals with NC, the presence of depressive symptoms was associated with a higher frequency of amyloid pathology in APOE ε4 noncarriers (mean difference, 5.0%; 95% CI 1.0-9.0; P = .02) but not in APOE ε4 carriers. This was not the case in individuals with MCI. Conclusions and Relevance Depressive symptoms were not consistently associated with a higher frequency of amyloid pathology in participants with NC and were associated with a lower likelihood of amyloid pathology in participants with MCI. These findings were not influenced by age, sex, or education level. Mechanisms other than amyloid accumulation may commonly underlie depressive symptoms in late life.

Background: Underrepresented minority (URM) patients enroll in cancer clinical trials at low rates. We studied the perspectives of health care professionals to better understand the challenges and potential facilitators of recruiting URM patients into clinical trials. Methods: A purposeful sampling approach was utilized to recruit health care professionals and clinical research staff who recruited and cared for URM patients in a therapeutic cancer clinical trial at any Mayo Clinic site, from July 2018 through October 2021.Data were gathered using a semistructured qualitative interviews. Participants were interviewed about the challenges of recruiting URM patients into cancer clinical trials and possible strategies for improving URM patient enrollment. Data were analyzed using a thematic analysis. Results: Of the key themes that emerged from participant interviews ( n = 28), perceived barriers to recruiting URM patients into clinical trials included lack of workforce diversity, underutilization of patient navigators, ineffective community outreach and patient recruitment, restricted access to diverse patient populations, and restrictive clinical trial eligibility criteria. Other barriers reported were lack of insurance and access to care and transportation, low socioeconomic status, and mistrust of health care and research. Strategies suggested for improving the recruitment of URM patients into clinical trials included: diversifying and adding research staff, increasing and improving community outreach and advocacy, partnering with clinics closer to patients, increasing monetary and logistical support for patient participation, creating opportunities that build and enhance trust, and systematically examining and modifying clinical trial eligibility criteria. Conclusions: Our findings reveal barriers that have limited URM patient inclusion in cancer clinical trials and highlight strategies to overcoming these barriers.

AbstractBackgroundGlial fibrillary acidic protein (GFAP) is a marker of cerebral astrogliosis and occasionally elevated in patients with dementia. GFAP in cerebrospinal fluid (CSF), is routinely requested in referrals to neurochemistry laboratories; however, its ability to differentiate dementias and diagnostic capability is unclear. Our aim was to elucidate this, using two large datasets.MethodFirst, GFAP data measured since 2015 was retrieved from the database of the Clinical Neurochemistry Laboratory at the Sahlgrenska University hospital. We then cross‐referenced with the Swedish dementia registry (SveDem). Here, information on ten different diagnoses such as early onset AD (EAD [<65 years]), late onset AD (LAD [≥65 years]), Parkinson disease with dementia (PDD), vascular dementia (VaD) and frontotemporal dementia (FTD), each with specific diagnostic criteria, were retrieved.The GFAP data was log10‐transformed, followed by an analysis of covariance (ANCOVA) and a subsequent post‐hoc Tukey’s test, with GFAP as dependent variable, diagnosis as independent variable and sex and age as covariates.ResultIn total, 1912 individuals (mean [SD] age, 71.9 [8.2] years; 52% male), were included. Lower log10‐transformed GFAP concentrations were seen in PDD (mean [SD], 2.68, [0.28] pg/mL), than in EAD, LAD, VaD and FTD; here, mean concentrations of 2.76 (0.24), 2.89 (0.23), 2.89 (0.32) and 2.76 (0.25) pg/mL were observed, respectively.In the post hoc analysis, GFAP differentiated VaD from EAD (p<0.001). PDD concentrations were significantly different from VaD (p<0.001) and LAD (p<0.001). Further, it also differentiated FTD from VaD (p=0.006) and LAD (p=0.001).ConclusionCSF GFAP could on a group level help differentiate VaD from EAD, FTD and PDD. Also, it could differentiate PDD from LAD. These results bear potential clinical relevance, where clinicians in some uncertain cases could use this marker as a differential tool.

Abstract Context Point-of-care ultrasound (POCUS) has diverse applications across various clinical specialties, serving as an adjunct to clinical findings and as a tool for increasing the quality of patient care. Owing to its multifunctionality, a growing number of medical schools are increasingly incorporating POCUS training into their curriculum, some offering hands-on training during the first 2 years of didactics and others utilizing a longitudinal exposure model integrated into all 4 years of medical school education. Midwestern University Arizona College of Osteopathic Medicine (MWU-AZCOM) adopted a 4-year longitudinal approach to include POCUS education in 2017. There is a small body of published research supporting this educational model, but there is not much data regarding how this approach with ultrasound curriculum translates to real-world changes in POCUS use by graduate student clinicians having received this model of education. Objectives The objectives of this study are to determine the frequency of POCUS use by MWU-AZCOM graduates and to assess how a 4-year longitudinal ultrasound curriculum may enhance the abilities of MWU-AZCOM graduates to perform and interpret ultrasound imaging in specific residency programs. Methods The study was approved by the MWU Institutional Review Board (#IRBAZ-5169, approval date October 3, 2022). An anonymous novel 12-question survey was conducted utilizing Research Electronic Data Capture (REDCap), a secure online platform, and distributed to MWU-AZCOM 2021 and 2022 graduates via email. Survey questions were aimed at assessing frequency of use, utilization of different imaging modalities, reasons for utilizing POCUS, barriers/enablers to utilizing POCUS, ultrasound training, and confidence in performing scans and interpreting POCUS imaging. All of the 104 surveys returned were included in the study. Statistical software R version 4.3 was utilized to conduct statistical analyses. Results Of the 484 surveys distributed, 104 were completed (21.5 % response rate). Responses came from residents working in 14 different specialties, 50 in primary care and 54 in nonprimary care. Of all respondents, 85.6 % currently utilize POCUS in their practice on at least a monthly basis and 77.0 % believe that their POCUS training in medical school enriches their current practice in residency. The top five modalities utilized by residents were procedures (89.9 %), cardiac (88.8 %), pulmonary (82.0 %), Focused Assessment with Sonography for Trauma (FAST, 73.0 %), and vascular (71.9 %). Respondents recognized POCUS as a beneficial diagnostic tool (97.8 %) and reported enhancements in physical examination skills (58.4 %) and professional growth (61.8 %). Facilitators for POCUS adoption included cost-effectiveness (82.0 %), diagnostic differentiation (78.7 %), and safety (79.8 %). Barriers included a lack of trained faculty (27.9 %), absence of necessary equipment (26.9 %), and cost of equipment (22.1 %). Participants demonstrated high confidence levels in performing (74.0 %) and interpreting (76.0 %) POCUS, with 43.3 % believing that their POCUS training enhanced their attractiveness as residency candidates. Conclusions This study supports the positive impact of a 4-year longitudinal POCUS curriculum on graduates’ practice. It emphasizes the link between MWU-AZCOM’s curriculum and real-world clinical needs. Addressing identified barriers and advancing hands-on training can further enhance POCUS understanding, ensuring that future physicians are well-prepared to leverage its diagnostic potential across medical specialties.

Objective Patients with heart failure (HF) perform a variety of self-care activities to control symptoms and minimise the risk of HF decompensations. The objective of this study was to understand how patients build capacity and manage the work of living with HF. Design A qualitative study using semi-structured telephone interviews. The interview guide was informed by the Cumulative Complexity Model, a conceptual framework that focuses on a patient’s workload and their capacity to manage that work. Interview transcripts were analysed using a mixed inductive and deductive coding approach with organisation into larger thematic categories. Setting Southeastern Minnesota USA (11 counties) with capture of data from local community healthcare providers under the auspices of the Rochester Epidemiology Project. Participants Intentional sampling of local patients with HF (n=24, median age 69.5 years, 54% women, 63% rural, 54% preserved ejection fraction) who reported high treatment burden and/ or poor health status on a questionnaire. Results Three major themes emerged: using capacity to manage workload, disruptions resulting in workload exceeding capacity and regaining workload-capacity balance. Participants described routinising the daily tasks associated with living with HF to minimise the associated burden and identified disruptions to their routines, including hospitalisations, emergency room visits, worsening health status and changes in healthcare access. To accommodate disruptions and regain workload-capacity balance, participants decreased workload and/or transferred tasks to others to maximise capacity. Conclusions Participants with HF described managing patient workload in times of stable health, but they sometimes struggled to accommodate disruptions and worsening health status. These findings can inform the design of interventions to minimise workload, maximise capacity and improve quality of life for patients with HF.

AbstractObjectiveThe extent of parotidectomy for benign tumors has de‐escalated in the United States. We aim to define modern benchmarks for operative time and hospital length of stay (LOS) in parotidectomy and identify risk factors that may prolong these benchmarks.Study DesignThis is a retrospective cross‐sectional study of all adults who underwent parotidectomy for a primary parotid neoplasm between January 2011 and December 2021 using the American College of Surgeons National Surgical Quality Improvement Program database.MethodsThe extent of parotidectomy was defined using Current Procedural Terminology codes. Prolonged operative time and LOS were defined as above the 75th percentile (longer than 194 minutes and more than 1 day, respectively). Multivariable logistic regression was used to identify patient and surgical risk factors that predict prolonged operative time or LOS.ResultsBenign parotidectomies are mostly performed as outpatient procedures in the United States (average LOS <1 day). Prolonged operative time was independently associated with malignant tumors versus benign tumors (adjusted odds ratio [aOR]: 2.7, 95% confidence interval [CI]: 2.4‐3.0), total parotidectomy with facial nerve sacrifice versus lesser extent of parotidectomy (aOR: 2.3, 95% CI: 1.7‐3.0), and simultaneous reconstructive procedures versus none (P < .001 for all). These features were similarly independently associated with prolonged LOS (P < .001 for all). Complication rates were universally low.ConclusionThe majority of superficial parotidectomies in this country are performed as outpatient procedures requiring <3 hours of operative time, with low complication rates. Malignant tumors, greater extent of parotidectomy, and simultaneous procedures were independently associated with prolonged operative time and LOS. These national benchmarks can inform operating room and hospital bed resource assignments.

Background. Study of myeloid neoplasms (MN) has been rapidly transformed by genome characterization. Gene mutations have been reported to influence disease phenotype and risk of disease progression, and the evaluation of mutational status can provide valuable insights to improve the decision-making process. In this international study, we evaluated the clinical impact of mutational screening in patients with CMML, which is characterized by significant clinical and genomic heterogeneity, including a substantial proportion of patients with poor outcomes and unmet needs. Currently, only limited molecular information has been incorporated into CMML classification and prognostication. Methods. We retrospectively collected 3182 CMML patients. We used MOSAIC, an AI-based framework for multimodal analysis in rare cancers (PMID: 38875514) to develop innovative, molecular-based tools for classification and prognostication. An independent validation of the results on 516 prospectively collected patients was performed. Results. Bayesian Networs and Hierarchical Dirichlet Processes were used to identify genomic associations and define a CMML molecular classification. We identified 11 clusters with distinct clinical and genomic features, including splicing machinery, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures (i.e., AML-like and TP53 mutations). Up to 15% of patients showed clear genomic overlap with other MN. Importantly, extensive multi-color flow cytometry on T lymphocytes, NK and myeloid cells (BD FACSymphony A5 Cell Analyzer) revealed specific immunologic and inflammation signatures associated with molecular subgroups. We then integrated molecular and clinical information to build an international CMML Prognostic Scoring System (iCPSS). We assessed the performance of different statistical and AI-based methods; L1-penalized Cox Model resulted as the best performing method. Selected features included hematological parameters (WBC, Hb, PLT and marrow blasts), cytogenetic abnormalities, and mutations in 10 genes (ASXL1, DNMT3A, EZH2, NRAS, RUNX1, SETBP1, STAG2, TET2, TP53, U2AF1). By Bayesian thresholds optimization, we identified 5 risk classes (i.e., very-low, low, intermediate, high and very-high) with median overall survival (OS) ranging from 99 to 9 months (P&lt;.001), and median leukemia-free survival (LFS) ranging from 210 to 18 months (P&lt;.001). iCPSS provided better patient discrimination across all clinical endpoints compared to currently available prognostic tools, with a Concordance Index (CI) for OS of 0.75 versus 0.62-0.64, respectively. Notably, compared to available scoring systems, up to 40% of patients were reassigned to higher or lower risk classes by the iCPSS. External validation on an independent prospective cohort confirmed that the performance of iCPSS is superior to existing prognostic models (CI for OS 0.71 vs 0.54-0.61, respectively) To demonstrate the clinical utility of iCPSS, we focused on 753 patients who underwent allogeneic stem cell transplantation (HSCT). In multivariable analysis, iCPSS stratified the probability of OS post-HSCT (P&lt;.001) and identified groups of patients with different probabilities of disease relapse, ranging from 9% to 62% (P&lt;.001). We employed a clinical- and genomic-based decision support system (PMID: 38723212) to determine the optimal timing of HSCT. Preliminary analyses indicated that higher-risk patients according to iCPSS (i.e., intermediate, high, and very high) benefit from an immediate HSCT strategy. Lower-risk patients (i.e., very low and low) had life expectancy maximized with delayed HSCT. Modeling decision analysis using iCPSS compared to conventional scores, resulted in a change in transplantation policy for a significant proportion of patients (up to 25%). Conclusion. Molecular information significantly improves the classification of CMML patients, providing a basis for refining diagnostic boundaries with other MN and for a more rational inclusion of patients in clinical trials. The iCPSS demonstrated superior performance over currently available scoring systems and improved HSCT decision making process.