Independent predictors of mortality and 5-year trends in mortality and resource utilization in hospitalized patients with diffuse large B cell lymphoma.

Background: This retrospective study analyzed factors influencing all-cause inpatient mortality in 80,930 adult patients (2016-2020) with diffuse large B cell lymphoma using the National Inpatient Sample database. Methods: Utilizing ICD-10 codes, patients were identified, and statistical analysis was conducted using STATA. Fisher's exact and Student's t tests compared proportions and variables, multivariate logistic regression examined mortality predictors, and a 5-year longitudinal analysis identified mortality and resource utilization trends. Results: The inpatient mortality rate was found to be 6.56% with a mean age of 67.99 years. Several hospital- and patient-level factors including specific comorbidities such as congestive heart failure, atrial fibrillation, acute kidney injury, chronic obstructive pulmonary disease, liver failure, pancytopenia, tumor lysis syndrome, and severe protein-calorie malnutrition were independently associated with inpatient mortality. Hospitalization costs showed an increasing trend, impacting the overall population and survivors. Conclusion: These insights may refine risk assessment, treatment selection, and interventions.

Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental murine model of AS. BACKGROUND: The LV response in AS is variable and results in heterogeneous phenotypic presentations. METHODS: The patient similarity network was developed using topological data analysis (TDA) from cross-sectional echocardiographic data collected from 246 patients with AS. Multivariate features of AS were represented on the map, and the network topology was compared with that of a murine AS model by imaging 155 animals at 3, 6, 9, or 12 months of age. RESULTS: The topological map formed a loop in which patients with mild and severe AS were aggregated on the right and left sides, respectively (p < 0.001). These 2 regions were linked through moderate AS; with upper arm of the loop showing patients with predominantly reduced ejection fractions (EFs), and the lower arm showing patients with preserved EFs (p < 0.001). The region of severe AS showed >3 times the increased risk of balloon valvuloplasty, and transcatheter or surgical aortic valve replacement (hazard ratio: 3.88; p < 0.001) compared with the remaining patients in the map. Following aortic valve replacement, patients recovered and moved toward the zone of mild and moderate AS. Topological data analysis in mice showed a similar distribution, with 1 side of the loop corresponding to higher peak aortic velocities than the opposite side (p < 0.0001). The validity of the cross-sectional data that revealed a path of AS progression was confirmed by comparing the locations occupied by 2 groups of mice that were serially imaged. LV systolic and diastolic dysfunction were frequently identified even during moderate AS in both humans and mice. CONCLUSIONS: Multifeature assessments of patient similarity by machine-learning processes may allow precise phenotypic recognition of the pattern of LV responses during the progression of AS.