Faculty Bibliography

AIMS/OBJECTIVE:To describe management of life with a left ventricular assist device (LVAD) by patients and caregivers and to determine the fit of self- and family management as a guiding concept in LVAD research. METHODS AND RESULTS/RESULTS:We applied dimensional analysis techniques to this concept analysis, beginning with a literature search (2010-25) of PubMed, CINAHL, Embase, PsycINFO, and Web of Science. Two reviewers screened and analysed 28 articles capturing perspectives on daily LVAD management among patients, caregivers, and healthcare professionals. Fourteen studies were qualitative, 12 were quantitative, and 2 were mixed methods. We identified five dimensions of patient and family management of LVAD therapy: patient facilitators and barriers; caregiver facilitators and barriers; processes of self- and family management; clinician facilitators and barriers/processes; and outcomes. These dimensions align with the concept of self- and family management and with core components of the Middle Range Theory of Self- and Family Management of Chronic Illness. CONCLUSION/CONCLUSIONS:This dimensional concept analysis advances understanding of managing life with an LVAD by clarifying the collaborative roles of patients, caregivers, LVAD coordinators, and other healthcare professionals. Our analysis supports the use of self- and family management as a guiding concept and the application of the Middle Range Theory of Self- and Family Management of Chronic Illness in LVAD research. A new conceptual definition of LVAD self- and family management reflects this theoretical grounding. Our work offers direction for future research, clinical practice, and education aimed at improving outcomes for patients and caregivers managing life with an LVAD.

IMPORTANCE/UNASSIGNED:Mental disorders have been associated with traditional cardiovascular risk factors that may mediate the risk of acute coronary syndrome (ACS). OBJECTIVE/UNASSIGNED:To estimate the association of ACS among patients with mental disorders, as compared with patients without mental disorders. DATA SOURCES/UNASSIGNED:MEDLINE, Embase, and PubMed were searched for studies between July 1, 2025, and date of database inception. STUDY SELECTION/UNASSIGNED:Study screening was performed in duplicates with conflicts resolved upon consensus. Inclusion criteria were as follows: (1) observational or randomized study, (2) measured association with ACS (incident events, risk ratio, odds ratio, hazard ratio [HR]), and (3) investigated any clinical mental disorder (based on DSM and International Classification of Diseases) before ACS events. DATA EXTRACTION AND SYNTHESIS/UNASSIGNED:This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data extraction was performed in duplicate and resolved on consensus. Data were quantitatively synthesized through random-effects meta-analysis. The National Institutes of Health Study Quality Assessment Tools were used to assess the quality of included studies. Studies were analyzed from January 1966 to October 2021. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Association and/or risk of ACS. RESULTS/UNASSIGNED:Among 3616 initially identified studies, 25 full-text articles met inclusion criteria with 22 048 504 participants of median (IQR) age 48.0 (34.5-56.1) years, with 13 019 897 males (59.1%). Depressive disorder (HR, 1.40; 95% CI, 1.11-1.78; P = .01; Grading of Recommendations Assessment, Development, and Evaluation [GRADE] certainty = very low), anxiety disorder (HR, 1.63; 95% CI, 1.40-1.89; P < .001; GRADE certainty = low), sleep disorder (HR, 1.60; 95% CI, 1.22-2.10; P < .001; GRADE certainty = low), and posttraumatic stress disorder (PTSD; HR, 2.73; 95% CI, 1.94-3.84; P < .001; GRADE certainty = moderate) were associated with increased risk of ACS. Bipolar (HR, 1.48; 95% CI, 0.47-4.61; P = .28; GRADE certainty = very low) and psychotic (HR, 0.97; 95% CI, 0.01-178.30; P = .06; GRADE certainty = very low) disorders were not significantly associated with increased risk of acute myocardial infarction, although they had similar point estimates to some other mental disorders. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Results of this systematic review and meta-analysis suggest that depressive disorders, anxiety disorders, PTSD, and sleep disorders were associated with an increased risk of ACS. Particularly, PTSD and sleep disorders emerged as significant risk factors for ACS, indicating the potential impact of sleep quality on cardiovascular outcomes. Future research addressing these limitations could provide more nuanced insights into the association between mental health and ACS.

Neoadjuvant therapy (NAT) is increasingly used for pancreatic ductal adenocarcinoma (PDAC); yet most patients only achieve partial response. Pathological treatment response grading focuses on assessing residual tumor burden, often overlooking changes in tumor microenvironment (TME). To address this gap, we compared tumor cells and TME of 13 NAT-naïve and 23 post-NAT PDACs using integrated spatial pathomics and transcriptomics, with validation in an independent single-cell spatial dataset. NAT significantly reduced tumor burden (14.7%-6.2%, p = 0.004), but systemic comparison of 13 cytomorphometric features of tumor cells alone did not reliably distinguish between naïve and NAT cases. In contrast, NAT profoundly remodeled TME by increasing cancer-associated fibroblast (CAF) and CD8⁺ T cell densities, promoting CD8⁺ T cell-tumor cell proximity and fibrosis, reducing tumor-associated neutrophils, and redistributing tertiary lymphoid structures (TLSs). Spatial transcriptomics shows NAT induced apoptosis, DNA-damage response, and AGC-kinase (S_TK_X) signaling in tumor cells, and upregulated complement pathway, p53 signaling, and cellular senescence program in TME. Cross-platform single-cell spatial analysis revealed decreased regulatory T cells (Treg) and a shift from myofibroblastic (mCAF) to inflammatory CAF (iCAF). Importantly, post-NAT patients with more fibrosis had longer overall survival (p = 0.02), and higher B-cell density showed a favorable trend (p = 0.06). Together, these results suggest that beyond tumor debulking, NAT induces a coordinated TME remodeling characterized by fibroblast reprogramming, matrix fibrosis, and immune spatial reorganization. Incorporating assessment of NAT-induced stromal and immune changes into TRG may improve prognostication and guide more precise therapy in post-NAT PDAC.

Little is known about the role of metabolic regulatory mechanisms in the pathobiology of deep vein thrombosis (DVT). Recent studies have demonstrated the involvement of the metabolic enzyme pyruvate kinase M2 (PKM2) in platelet function; however, whether platelet PKM2 contributes to DVT has not yet been investigated. Using platelet-specific PKM2-/- (PKM2Plt-KO) or wild-type (WT) mice orally administered ML265 (a small molecule that limits PKM2 dimers by stabilizing PKM2 tetramers), we found reduced thrombus burden at 48 hours after surgery in the inferior vena cava (IVC) stenosis model compared with littermate controls. This reduction was associated with lower levels of citrullinated histone H3, a marker of neutrophil extracellular traps (NET), in the harvested thrombi and improved IVC wall contraction and relaxation responses (assessed by myography). Mechanistically, thrombin-stimulated platelets from PKM2Plt-KO mice or ML265-pretreated platelets from WT mice showed reduced SNAP23 phosphorylation and diminished PF4 release (a marker of α-granule exocytosis). The releasate collected from thrombin-stimulated platelets was less effective at inducing NETosis compared to respective controls. Using ML265-pretreated human whole blood perfused over a tissue factor-coated surface at a venous shear rate, we found that the area covered by platelet-leukocyte aggregates was profoundly reduced compared to vehicle control. Consistent with murine data, human platelets pretreated with ML265 and stimulated with thrombin exhibited decreased PF4 release and generated releasates that were less potent in inducing NETosis. These findings, to our knowledge, reveal for the first time that targeting PKM2 genetically or pharmacologically reduces SNAP23-mediated α-granule exocytosis in platelets, platelet releasate-induced NETosis, and susceptibility to DVT.

BACKGROUND:Although most adrenal incidentalomas are benign, many are identified by single-phase contrast-enhanced computed tomography, which is unreliable for excluding malignancy. Virtual noncontrast computed tomography is a newer modality with the potential to better characterize adrenal nodules. METHODS:Virtual noncontrast computed tomography of adrenal nodules with available reference standard of true noncontrast computed tomography were identified (2016-2024). Images were evaluated for nodule characteristics including Hounsfield unit attenuation and variability. Nodules were classified as benign (≤10 Hounsfield units) or indeterminate/suspicious (>10 Hounsfield units) by true noncontrast computed tomography. Hounsfield units were compared between virtual noncontrast computed tomography and true noncontrast computed tomography. Variability in attenuation measurements was compared by evaluating Hounsfield unit differences 1 slice up and down from the chosen mid-depth image. Receiver operating characteristic analysis was used to define optimal virtual noncontrast computed tomography accuracy thresholds. RESULTS:After excluding 5 adrenal nodules due to suboptimal imaging, 67 nodules were identified. Based on true noncontrast computed tomography Hounsfield units, 23 nodules (34.3%) were benign, and 44 (65.7%) were indeterminate/suspicious. Hounsfield unit measurements for each nodule exhibited wide variability by both virtual noncontrast computed tomography and true noncontrast computed tomography. Virtual noncontrast computed tomography and true noncontrast computed tomography were significantly correlated with moderate effect size (Pearson coefficient 0.69, P < .001). Conflicting impressions occurred for 6 nodules (9.0%). Overall, virtual noncontrast computed tomography exhibited outstanding discrimination between benign and indeterminate/suspicious nodules (area under the curve 0.94). Maintaining a threshold of ≤10 Hounsfield units achieved 93% sensitivity, 76% specificity, and 84% negative predictive value, whereas ≤7 Hounsfield units achieved 100% negative predictive value. The functional utility of virtual noncontrast computed tomography as a rule-out test applied to 16% of nodules. CONCLUSION/CONCLUSIONS:Despite wide variability in Hounsfield unit measurements, adrenal nodules are well defined by both virtual noncontrast computed tomography and true noncontrast computed tomography. Well-reconstructed virtual noncontrast computed tomography images can accurately rule out malignancy in selected patients, potentially obviating the need for additional imaging.

OBJECTIVE:Indeterminate lesions on prostate-specific membrane antigen (PSMA)-PET are challenging to address. We aimed to develop, implement, and evaluate a multidisciplinary consensus algorithm that integrates existing interpretation systems with multimodality imaging and clinicopathological information for interpreting indeterminate bone and lymph node lesions on PSMA-PET. MATERIALS AND METHODS/METHODS:This was a retrospective single-center study on a prospectively implemented algorithm. We included all consecutive prostate cancer patients whose PSMA-PET findings for indeterminate bone lesions or lymph nodes were discussed at a multidisciplinary tumor board (MDT) in 2024-2025. An algorithm determining the level of suspicion for metastasis was developed in a multidisciplinary fashion, incorporating lesion location, conventional imaging features, PSMA-PET characteristics, and clinicopathological information. The application of the algorithm and outcomes were documented, compared against a composite reference standard. Comparisons were made with PSMA-RADS and PROMISE V2 PSMA-expression scores. RESULTS:81 patients (median age 68, interquartile range 64-75) were included. Algorithm results were benign (48.1% [39/81]), equivocal (4.9% [4/81]), metastasis (40.7% [33/81]), and mixed (benign and metastatic lesions, 6.2% [5/81]). The algorithm was correct in 94.1% (64 of 68 patients with a sufficient reference standard). The algorithm was discordant with PSMA-RADS in 54.3% (44/81) and with PROMISE V2 PSMA-expression score in 71.6% (58/81). The frequency of equivocal lesions was lower using the algorithm (4.9% [4/81]) compared with PSMA-RADS (53.1% [43/81]) and PSMA-expression score (64.2% [52/81]). CONCLUSION/CONCLUSIONS:A multidisciplinary consensus algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET was developed and implemented. Integrating clinicopathological information and multimodality imaging in an MDT setting reduced equivocal interpretations. KEY POINTS/CONCLUSIONS:Question While prostate-specific membrane antigen (PSMA)-PET has become essential in the management of prostate cancer, indeterminate bone lesions and lymph nodes remain challenging to address. Findings A multidisciplinary algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET, incorporating clinicopathological information and multimodality imaging, reduced the frequency of equivocal interpretations. Clinical relevance An algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET, incorporating clinicopathological information and multimodality imaging in a multidisciplinary tumor board setting, decreases the frequency of equivocal interpretations and can potentially help management decisions.