Follow-up care compliance among patients diagnosed with unruptured intracranial aneurysms.

OBJECTIVES: Periodic imaging follow-up for patients with unruptured intracranial aneurysms (UIA) is crucial, as studies indicate higher rupture risk with aneurysm growth. However, few studies address patient adherence to follow-up recommendations. This study aims to identify compliance rates and factors influencing follow-up adherence. METHODS: Patients with a UIA were identified from our institution's database from 2011-2021. Follow-up imaging (CT/MR Angiogram) was advised at specific intervals. Patients were categorized into compliant and non-compliant groups based on first-year compliance. Factors contributing to compliance were assessed through multivariate logistic regression. Phone interviews were conducted with non-compliant patients to understand reasons for non-adherence. RESULTS: Among 923 UIA diagnosed patients, 337 were randomly selected for analysis. The median follow-up period was 1.4 years, with a 42% first-year compliance rate. The mean aneurysm size was 3.3 mm. Five patients had a rupture during follow-up, of which 4 died. Compared with patients consulting specialists at the initial diagnosis, those seen by non-specialists exhibited lower compliance (OR 0.25, p < 0.001). Loss to follow-up was greatest during transition from emergency service to specialist appointments. Patients who spoke languages other than English exhibited poorer compliance than those speaking English (OR 0.20, p = 0.01). CONCLUSIONS: Significant amounts of UIA patients at low rupture risk were lost to follow-up before seeing UIA specialists. Main non-compliance factors include inadequate comprehension of follow-up instructions, poor care transfer from non-specialists to specialist, and insurance barriers.

Dynamin-1 is a potential mediator in Cancer-Related Cognitive Impairment.

Dynamin-1 (DNM1) consolidates memory through synaptic transmission and modulation and has been explored as a therapeutic target in Alzheimer's disease. Through a two-prong approach, this study examined its role in cancer-related cognitive impairment (CRCI) pathogenesis using human and animal models. The human study recruited newly diagnosed, chemotherapy-naïve adolescent and young adult cancer and non-cancer controls to complete a cognitive instrument (FACT-Cog) and blood draws for up to three time points. Concurrently, a syngeneic young-adult WT (C57BL/6 female) mouse model of breast cancer was developed to study DNM1 expression in the brain. Samples from eighty-six participants with 30 adolescent and young adult (AYA) cancer and 56 non-cancer participants were analyzed. DNM1 levels were significantly lower among cancer participants compared to non-cancer prior to treatment. While receiving cancer treatment, cognitively impaired patients were found with a significant downregulation of DNM1, but not among those without impairment. In murine breast cancer-bearing mice receiving chemotherapy, we consistently found a significant decline in DNM1 immunoreactivity in the hippocampal CA1 and CA3 subregions. Observed in both human and animal studies, the downregulation of DNM1 is linked with the onset of CRCI. Future research should explore the potential of DNM1 in CRCI pathogenesis and therapeutics development.

Genetic diversity of 1,845 rhesus macaques improves genetic variation interpretation and identifies disease models.

Understanding and treating human diseases require valid animal models. Leveraging the genetic diversity in rhesus macaque populations across eight primate centers in the United States, we conduct targeted-sequencing on 1845 individuals for 374 genes linked to inherited human retinal and neurodevelopmental diseases. We identify over 47,000 single nucleotide variants, a substantial proportion of which are shared with human populations. By combining rhesus and human allele frequencies with established variant prediction methods, we develop a machine learning-based score that outperforms established methods in predicting missense variant pathogenicity. Remarkably, we find a marked number of loss-of-function variants and putative deleterious variants, which may lead to the development of rhesus disease models. Through phenotyping of macaques carrying a pathogenic OPA1:p.A8S variant, we identify a genetic model of autosomal dominant optic atrophy. Finally, we present a public website housing variant and genotype data from over two thousand rhesus macaques.