Citations

Introduction: Mortality in patients with unruptured intracranial aneurysm (UIA) is significantly higher than the general population. However a minority of the deaths are due to subarachnoid hemorrhage. Hypothesis: There are differential characteristics of patients that might predict specific causes of death that would be informative in counseling patients about aneurysm risk. Methods: 4059 patients with UIA who were enrolled prospectively between 1991 and 1998 were followed by 61 medical centers in North America, Canada, and Europe. Patients have at least one UIA, which may or may not be symptomatic. Patients were Rankin grade 1 or 2 at enrollment. Patients were followed annually from enrollment to 2007. For patients who died a death certificate search was done and information was requested from local physicians and other contacts. A National Death Index search in 2008 determined cases who died and cause of death. Foreign centers also did a national search where possible. Patients who died before 30 days post treatment or lost to follow up before 30 days post enrollment were excluded. Results: Twenty-five percent of patients died during follow-up. The life expectancy was significantly less than age-, sex-, and country-matched expected estimates. Among the total of 4004 patients with UIA who survived 30 days after enrollment, 2331 were treated and 1673 were not. There were 965 deaths after 30 days after treatment, of which 320 died from vascular disease (252 died from non-SAH vascular disease), 114 died from respiratory tract disease, 255 died from cancer, and the rest died of other or unknown reasons. Predictors of SAH death were aneurysm size, site, age and convulsive disorders at enrollment. Factors related to vascular death were UIA treatment, age, gender, race, hypertension, Rankin at discharge and diminishing influence of aneurysm characteristics over time. Respiratory deaths were related to treatment, race, smoking, age, initial Rankin and presentation with convulsive disorder. Cancer deaths were related to gender, race, smoking and age. Conclusions: In patients with UIA, an assessment of risk for death underscores the importance of age, race and gender and several modifiable risk factors. Patient management should include not only aneurysm rupture prevention but also modification of smoking and hypertension.

Introduction: Quality of life changes can occur following procedural interventions and subarachnoid hemorrhage in unruptured intracranial aneurysms (UIA). The International Study of Unruptured Intracranial Aneurysms conducted quality of life assessment using the Mini-Mental State Exam, Rankin Score, and Barthel Index at baseline and the Telephone Interview Cognitive Status Exam (TICS), Rankin Score, and Barthel Index at follow-up. Hypothesis: The purpose of this analysis was to compare the 1 year and 5 year outcome in the treatment cohorts (surgery and endovascular) with those of the untreated subgroup. Methods: Patients were subdivided into the initial treated and untreated cohorts based upon observation or treatment practices in 61 centers from 1991-1998. 1691 patients were in the observational cohort and 2388 in the treated cohort. The cohorts were followed annually with measures of neurological status, Rankin Scale, Barthel Index and cognition (TICS). Outcomes were determined prospectively. Comparison of outcomes was done using continuous and categorical data. Covariate adjustment was done using general linear models. Stratified analysis was done by Rankin Score at the time of follow-up. Results: The percent of patients with a Barthel Index score of less than 60 at 1 year in the cohort was 9.4% (treated patients, 9.7%; untreated patients, 9.2%). The percent of patients at year 1 with a score of greater than 90 was 87.6%, 87.4% for treated patients and 87.8% for untreated patients. The percent of patients with a Barthel Index score of less than 60 at 5 years in the cohort was 41.4% (treated patients, 41.4%; untreated patients, 41.4%). The percent of patients at year 5 with a score of greater than 90 was 56.3%, 56.1% for treated patients and 56.5% for untreated patients. TICS and Barthel Index scores were significantly associated with each other for patients with Rankin Scores 0-2 (P<0.0001). This was seen at both year 1 and year 5 follow-up, but not for patients with Rankin Score 3-5. At both 1 year and 5 year follow-up, after controlling for Rankin Score, the distribution of Barthel Index scores of untreated patients and treated patients did not significantly differ. At both the 1 year follow-up, baseline Rankin Score, TICS and follow-up Rankin Score were significant predictors of Barthel Score (P<0.0001). At 5 years, only the follow-up Rankin Score was associated with Barthel Score (P<0.0001). Conclusions: Barthel Index Score decreased over time, but does not differ with treatment. The Rankin Score was the main predictor at follow-up of Barthel Index Score distribution.

SummaryBackgroundMost patients experience good functional outcomes following ileal pouch‐anal anastomosis (IPAA) for ulcerative colitis.AimWe aimed to determine if asymptomatic patients with an IPAA had findings consistent with normal defecation on standard objective anorectal tests.MethodsPatients 18–65 years old with IPAA and self‐reported healthy pouch function were recruited. Patients with chronic pouchitis, Crohn’s disease, anastomotic stricture, or indication for IPAA other than ulcerative or indeterminate colitis were excluded. Patients underwent an interview with an abbreviated Rome Questionnaire followed by high‐resolution ano‐pouch manometry, balloon expulsion test, pouch barostat, and magnetic resonance (MR) defecography.ResultsTwenty patients completed all testing. Six patients were excluded from the final analysis due to symptoms suggestive of pouch evacuation disorder on the abbreviated Rome Questionnaire (n = 2), structural abnormality on MR imaging (n = 3), or both (n = 1). Of the remaining 14 patients, mean anal resting pressure during high‐resolution manometry was 72 ± 16 mmHg, mean anal squeeze pressure was 247 ± 69 mmHg, and mean pouch‐anal gradient during the simulated evacuation was −27 ± 37 mmHg. The meantime to balloon expulsion was 54 seconds. During dynamic MR defecography, the mean descent of ano‐pouch junction was 2.6 cm, and mean pouch evacuation was 44.5% and 74.2% pre‐ and posttoilet phase, respectively.ConclusionsA substantial proportion of patients with IPAA and self‐reported healthy pouch function have anatomic and/or functional abnormalities of the pouch. In asymptomatic IPAA patients with an anatomically normal pouch, we have proposed normal parameters for high‐resolution ano‐pouch manometry, time to balloon expulsion, pouch barostat, and MR defecography.

Abstract Introduction: Advances in technology and internet capability have provided an opportunity for efficient collection of Patient Reported Outcomes (PRO) during medical treatment. Here we describe the development and implementation of a system for monitoring patient reported adverse events (AEs) and quality of life (QoL) using electronic PRO (ePRO) instruments for patients enrolled on the Investigation of Serial studies to Predict Your Therapeutic Response with Imaging And moLecular analysis (I-SPY 2 TRIAL), a phase II adaptive platform clinical trial for locally advanced breast cancer. Methods: We designed an ePRO system to increase the accuracy of patient-reported QoL and AE data collection with the intent to act on symptoms in real time. Using the OpenClinica electronic data capture system, we developed rules-based logic to build automated ePRO surveys, customized to the I-SPY 2 treatment schedule. Weekly surveys contained a maximum of 126 validated, branching logic questions from the Patient Reported Outcomes Measurement Information System (PROMIS®) Health Measures and the National Cancer Institute’s Patient Reported Outcomes - Common Terminology Criteria for Adverse Events (PRO-CTCAE™) instruments. We piloted ePROs at the University of California, San Francisco (UCSF) to evaluate compatibility with a variety of I-SPY 2 patient scenarios (e.g., dose delays). We then staggered rollout of the ePRO system to 22 I-SPY 2 sites to ensure technological feasibility. In order to improve accuracy of data collection, we utilized real-time tracking and developed a Clinical Research Coordinator (CRC) training manual, which integrated workflow diagrams with technical solutions. CRCs were trained using remote video sessions. Results: The UCSF ePRO pilot began in September of 2020. Over 9-months, we accrued 43 I-SPY 2 patients (average age of 43.8 years), whose interactions with the ePRO system informed design improvements. Of the patients who received a baseline ePRO survey, the completion rate was 75.9% (average age of 44.2 years). This represents an increase from the 15-20% baseline completion rate for the 360 UCSF I-SPY 2 patients who received paper-based PRO surveys between May 2012 - January 2019. As of June 2021, the ePRO system was operational at all 22 I-SPY 2 sites. The UCSF pilot revealed that engagement with patients at critical timepoints improved survey completion. CRCs facilitated patient participation by sending instructional emails and communicating with patients weekly. We tracked data completeness using a Patient Tracking report, which displayed each patient’s survey completion history. This real-time tool enabled CRCs to identify patients who had not completed ePRO surveys prior to their visit, so they could be provided a tablet computer to complete the survey in the clinic. After introducing tablets into the workflow at UCSF, patient completion of the baseline survey increased from 75.9% to 80%. Conclusion: The transition from paper to electronic QOL and AE data collection improves the ability of patients to complete PRO surveys, but the process must also be optimized and integrated into clinical workflow and trial conduct. In the future, we will present additional results highlighting the feasibility of multilingual ePRO integration into I-SPY 2. ePRO also provides a new opportunity for data analysis, as well as the potential to reduce high grade toxicity through early intervention. It will allow us to assess QoL and AE data by drug regimen, site, provider, and study treatment. The creation of clinician-facing reports also enables access to patient responses in real-time. By implementing ePRO within I-SPY 2, we not only increase efficiency and accuracy of patient-reported data collection, but also improve quality of care and patient safety. Citation Format: Anna Northrop, Anika Christofferson, Michelle Melisko, Laura Sit, Ebunoluwa Olunuga, Ananya Mittal, Adi Goldman, Thelma Brown, Diane Heditsian, Bev Parker, Susie Brain, Carol Simmons, Alessandra Taboada, Kathryn J Ruddy, Tina Hieken, Mara Piltin, Kiri Cook, Carolina Salvador, Candace Mainor, Anosheh Afghahi, Sarah Tevis, Anne Blaes, Irene Kang, Susan Melin, Laura Esserman, Adam Asare, Dawn L Hershman, Amrita Basu. Improving patient-reported outcome data capture for clinical research: ePRO in ISPY 2, a phase 2 breast cancer study [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-12-02.

Abstract Introduction: Breast cancer treatments can impair fertility via direct gonadotoxicity (chemotherapy) as well as by introducing delays in childbearing that allow natural ovarian aging. Guidelines strongly recommend fertility counseling and consideration of fertility preservation techniques for premenopausal women who have not completed their desired childbearing at the time of cancer diagnosis. Prior studies have identified high rates of fertility concern but relatively low rates of fertility counseling and use of fertility preservation techniques. We sought to investigate rates of fertility counseling, use of fertility preservation techniques, and how fertility concerns impact cancer treatment decisions in a modern cohort of patients with breast cancer at a large academic medical center in the United States. Methods: All patients seen at Mayo Clinic Rochester with a new diagnosis (within the year prior) of stage 0-4 breast cancer were invited (by mail or in person) to participate in the Mayo Clinic Breast Registry. After informed consent, participants were asked to complete a baseline survey and annual follow-up surveys. On baseline and one-year surveys, patients were queried about desire for future children and fertility concerns. Nurse chart abstraction was used to collect information about tumor subtype, stage, and treatments received. We examined survey data from women diagnosed under the age of 50 who expressed an interest in having future biological children on either the baseline or year 1 survey between February 2015 and October 2020. Descriptive statistics were used to summarize the degree of fertility concern in this population, the impact of that concern on cancer treatment decisions, and steps taken to preserve fertility. Results: Between February 2015 and October 2020, 865 women under age 50 at diagnosis consented to the registry. Of these women, 627 completed a baseline and/or 1-year survey and 100 answered either “yes” or “unsure” to the question: “At the present time, do you wish to have any more biological children in the future?” on one or both surveys. Among the 100 women expressing interest in future child-bearing, 92% were white, 27% had node-positive and one had distant metastatic disease at diagnosis. The age at diagnosis ranged from 19 to 49 years, with a mean age of 33.8 years. Of the 75 who reported a desire for future children at baseline, 28% felt “somewhat concerned” about their future fertility and 40% felt “very concerned.” Of the 70 who reported a desire for future children on the year 1 survey, 17% felt “somewhat concerned” and 59% felt “very concerned.” For those “very concerned” about future fertility at year 1, 65% reported that this concern had a major impact on their treatment decisions. Often, that treatment modification entailed using endocrine therapy for less than 5 years; 52% of those who specified the type of treatment modification they had made indicated this option. Of note, six women who reported no desire for future biological children at baseline were “unsure” at year 1. At year 1, 93% of women recalled a discussion about fertility with their doctor prior to starting treatment, and 49% had taken steps to preserve fertility (32.5% with embryo cryopreservation, 20% with oocyte cryopreservation and 65% with a GnRH agonist; some selected multiple options). Conclusion: We found a reassuringly high rate of patient-reported fertility counseling and use of reproductive endocrinology technologies to preserve fertility in women who reported a desire for additional children at or soon after diagnosis with breast cancer. Consistent with prior studies, fertility concerns frequently impacted breast cancer treatment decisions. It is important to err on the side of inclusivity when providing fertility counseling because desire for fertility can change over time. Citation Format: Samantha Mannion, Alexandra Higgins, Elizabeth A Stewart, Zaraq Khan, Chandra Shenoy, Nicole Larson, Hazel B Nichols, H Irene Su, Ann H Partridge, Fergus J Couch, Janet E Olson, Kathryn Ruddy. Prevalence and impact of fertility concerns in young women with breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-11-02.

Purpose: The purpose of this study was to characterize the material, health (general and diabetes-specific), and social impacts of the COVID-19 pandemic on Hispanic adults with type 2 diabetes who did not experience COVID-19 infection. Methods: This cross-sectional and longitudinal study used surveys within a clinical trial of 79 Hispanic adult clinic patients with type 2 diabetes. Cross-sectional measures included the Coronavirus Anxiety Scale, items from the Coronavirus Impact Scale, and the Pandemic Impacts Inventory. Longitudinal measures included the Summary of Diabetes Self-Care, health care utilization, and measures of diabetes self-efficacy, social support, and quality of life. Results: Participants were majority low-income, Spanish-speaking females with poor diabetes control. Coronavirus anxiety was low despite majority of participants having an affected family member and frequent access barriers. More than half of participants reported moderate/severe pandemic impact on their income. Diabetes self-care behaviors did not change between prepandemic and pandemic measures. Diabetes self-efficacy and quality of life improved despite fewer diabetes-related health care visits. Conclusions: Despite high levels of access barriers, financial strain, and COVID-19 infection of family members, Hispanic adults with type 2 diabetes continued to prioritize their diabetes self-management and demonstrated substantial resilience by improving their self-efficacy and quality of life.

AbstractBackgroundFrontotemporal dementia spectrum disorders (FTD) display complex neuropathological substrates and poor clinicopathological correlations, which hinders therapy development. Plasma P‐tau217 is an emerging tool to screen for Alzheimer’s disease (AD) pathology and may have diagnostic value in FTD.MethodPlasma P‐tau217 was measured cross‐sectionally by electrochemiluminescence in FTD patients referred to ALLFTD from ARTFL (n = 628, 45.7% female, median age 66 ± 12 years). P‐tau217 differences by baseline phenotype, disease severity and genotype were determined with non‐parametric tests and general linear models. Associations between P‐tau217 and measures of disease severity and neuropsychological performance were determined with linear regressions corrected for age, sex, phenotype and APOE.ResultThe sample included 33% behavioral variant FTD, 23.6% primary progressive aphasia (PPA), 28.5% atypical parkinsonism, 1.6% amnestic dementia (AmDem), 2.8% FTD/motoneuron disease, 3% mild cognitive/behavioral impairment and 7.5% healthy controls. Only 1.6% carried FTD‐causing mutations. P‐tau217 was not related to age (r = 0.034, 95%CI ‐0.03 – 0.12, p = 0.4). Compared to controls (0.18 ± 0.07 pg/mL), P‐tau217 was elevated only in AmDem (0.58 ± 0.9 pg/mL, p = 0.001) and logopenic PPA (lvPPA, 0.71 ± 0.62 pg/mL p < 0.001). P‐tau217 ≥ 0.42 pg/mL effectively discriminated AmDem and lvPPA from all other phenotypes (AUC 0.87, 95%CI 0.77 – 0.96, p = 0.001, 77% sensitivity, 92% specificity). AmDem (60%) and lvPPA (91.7%) had the highest prevalence of high (≥ 0.42 pg/mL) P‐tau217, and the highest prevalence of APOE4 (AmDem 40%, lvPPA 63.6%). APOE4 carriers (0.23 ± 0.22 pg/mL) had higher P‐tau217, than non‐carriers (0.19 ± 0.09 pg/mL), regardless of phenotype (APOE effect p = .002, APOE x phenotype, p = 0.44). P‐tau217 was associated with worse clinical severity, mood, memory and executive function, but not with worse motor symptoms or social cognition.ConclusionWhen FTD is suspected, high plasma P‐tau217 is strongly associated with amnestic dementia and logopenic PPA phenotypes. Pending completion of ongoing neuropathological, CSF and molecular neuroimaging analyses, the data support the use of plasma P‐tau217 to identify atypical AD as a cause or AD as a co‐pathology contributing to FTD clinical presentation.

AbstractBackgroundClinical trials for tauopathies require novel biomarkers for disease detection and monitoring. One previous study found functional connectivity (FC) alterations in presymptomatic (preSx) MAPT mutation carriers (Whitwell et al., 2011), yet studies have not examined FC networks along the MAPT disease continuum. We hypothesized that both symptomatic (Sx) and preSx MAPT mutation carriers would show FC alterations compared to healthy controls (HC).MethodLeveraging task‐free fMRI data from the UCSF Memory and Aging Center and the ARTFL/LEFFTDS Consortia (Boeve et al., 2019), we compared 14 Sx and 33 preSx to 80 HC to characterize their FC profiles. Using a seed‐based approach, we studied FC within networks associated with different MAPT clinical syndromes (i.e., salience network [SN] for behavioral variant frontotemporal dementia, default mode network [DMN] for Alzheimer’s‐like amnestic syndrome, corticobasal syndrome [CBS] and progressive supranuclear palsy [PSP] networks). Complementing the seed‐based approach, we next calculated whole‐brain intra‐/inter‐network FC matrices for 14 networks (Brown et al., 2019), and applied K‐means clustering to assess whether preSx displayed heterogeneous connectivity profiles. ComBat was applied to harmonize multi‐site imaging data (Fortin et al., 2017, 2018). Thresholding was set at a joint height and extent threshold of p<0.05 (uncorrected) with age, sex, education and handedness as nuisance covariates.ResultCompared to HC, Sx featured disrupted FC within key hubs of all four networks, and regions of cerebellar and pontine hyperconnectivity within CBS and PSP networks. As seen in Sx vs. HC, preSx had similar anatomical patterns of SN/CBS network hypoconnectivity and CBS/PSP network hyperconnectivity vs. HC. In contrast to Sx, who had DMN disruption, preSx showed DMN hyperconnectivity vs. HC.Whole‐brain analyses revealed that Sx had disrupted intra‐/inter‐network FC in networks involving the insula/anterior temporal lobe. Clustering analysis identified two preSx subgroups. Compared to HC, preSx1 principally had disrupted FC across networks including those disrupted in Sx, whereas preSx2 mainly demonstrated hyperconnectivity.ConclusionSx and preSx both demonstrated robust FC alterations. Future studies will investigate whether the preSx subgroup whose whole‐brain FC was similar to Sx in that it showed principally FC disruption may be at greater risk for imminent symptom conversion and/or neurodegeneration.

AbstractBackgroundProgranulin (GRN) mutations cause autosomal dominant frontotemporal lobar degeneration. Clinical trials for GRN‐targeted therapies are underway, yet reliable biomarkers to predict onset and track disease progression remain elusive. Task‐free functional MRI (tf‐fMRI) connectivity may be more sensitive than structural measures for detecting presymptomatic changes (Dopper, 2014; Premi, 2016). Presymptomatic GRN feature tf‐fMRI hyperconnectivity that is more pronounced in older carriers presumably closer to symptom onset, suggesting hyperconnectivity may be a harbinger of disease (Lee, 2019). To aid the interpretation of hyperconnectivity, we explored relationships of structural and tf‐fMRI measures with candidate fluid biomarkers for GRN: CSF complement proteins C3b and C1q, which drive neurodegeneration in GRN ‐/‐ mice (Lui, 2016) and plasma neurofilament light chain (NfL), a marker of axonal injury.MethodWe studied 20 symptomatic GRN (Sx), 39 presymptomatic GRN (preSx), and 67 healthy‐controls (HC). Cross‐sectional CSF C3b, C1q, and plasma NfL concentrations were compared between groups. Correlations controlling for age assessed relationships between fluid biomarkers and symptom severity (CDR®+NACC‐FTLD box score). Voxelwise multiple regression models examined interactions between fluid biomarkers and gene status on grey matter probability maps (GM) and voxelwise tf‐fMRI whole‐brain weighted degree (WBD) maps.ResultComplement concentrations were similar between Sx, preSx, and HC. Across all GRN, C3b concentrations increased with symptom severity (r=0.34, p=0.04). In Sx, but not preSx, higher C3b was associated with increased WBD in medial‐frontal regions, left insula, and thalamus compared to HC. Sx had higher NfL concentrations compared to preSx and HC. Across all GRN and in Sx, higher NfL was associated with greater symptom severity (r=0.60, p<0.001; r=0.72, p<0.001). In Sx, higher NfL was associated with lower GM in precuneus and bilateral frontoinsular cortices, but not WBD, compared to HC. In preSx, higher NfL was associated with increased WBD in thalamus and right temporal regions, but not GM, compared to HC.ConclusionC3b and NfL concentrations correlated with symptom severity. C3b concentrations were associated with tf‐fMRI connectivity alterations in Sx while NfL concentrations were associated with connectivity alterations in preSx. Longitudinal studies are needed to determine temporal relationships between altered connectivity, atrophy, complement, NfL rise, and symptom onset.