Patient and provider perspectives on adherence to and care coordination of lynch syndrome surveillance recommendations: findings from qualitative interviews.

BACKGROUND: Patients with a genetic variant associated with Lynch syndrome (LS) are recommended to undergo frequent and repeated cancer surveillance activities to minimize cancer-related morbidity and mortality. Little is known about how patients and primary care providers (PCPs) track and manage these recommendations. We conducted a small exploratory study of patient and PCP experiences with recommended LS surveillance activities and communication with family members in an integrated health care system. METHODS: We used in-depth interviews with patients and providers to understand how surveillance is coordinated and monitored following confirmation of LS. We recruited patients with a range of ages/gender, and providers with at least at least one patient with a molecular diagnosis of LS. All interviews were recorded, transcribed, and content analyzed by a trained qualitative methodologist. RESULTS: Twenty-two interviews were completed with 12 patients and 10 providers. Most patients (10) had detailed knowledge of surveillance recommendations, but were less sure of time intervals. While all patients reported receiving initial education about their surveillance recommendations from a genetic counselor, seven did not follow-up with a genetic counselor in subsequent years. A third of patients described taking sole responsibility for managing their LS surveillance care. Lack of routine communication from the health system (e.g., prompts for surveillance activities), and provider engagement were surveillance barriers. PCPs were generally aware of LS, but had limited familiarity with surveillance recommendations. Most PCPs (7) viewed LS as rare and relied on patient and specialist expertise and support. Providers typically had 1 patient with LS in a panel of 1800 patients overall. Providers felt strongly that management of LS should be coordinated by a dedicated team of specialists. Most patients (92%) had at least one family member that sought LS testing, and common barriers for family members included lack of insurance, affordability, and fear of result. CONCLUSION: The maximal benefits of screening for confirmation of LS will only be realized with adherence to recommended preventive care. Important factors to ensure patients receive recommended LS care include a comprehensive and coordinated monitoring program that includes reminder prompts, and increased PCP education of LS and associated surveillance recommendations.

Genetic effects on sleep/wake variation of seizures.

OBJECTIVE: There is a complex bidirectional relationship between sleep and epilepsy. Sleep/wake timing of seizures has been investigated for several individual seizure types and syndromes, but few large-scale studies of the timing of seizures exist in people with varied epilepsy types. In addition, the genetic contributions to seizure timing have not been well studied. METHODS: Sleep/wake timing of seizures was determined for 1,395 subjects in 546 families enrolled in the Epilepsy Phenome/Genome Project (EPGP). We examined seizure timing among subjects with different epilepsy types, seizure types, epilepsy syndromes, and localization. We also examined the familial aggregation of sleep/wake occurrence of seizures. RESULTS: Seizures in nonacquired focal epilepsy (NAFE) were more likely to occur during sleep than seizures in generalized epilepsy (GE), for both convulsive (odds ratio [OR] 5.2, 95% confidence interval [CI] 3.59-7.52) and nonconvulsive seizures (OR 4.2, 95% CI 2.48-7.21). Seizures occurring within 1 h of awakening were more likely to occur in patients with GE than with NAFE for both convulsive (OR 2.3, 95% CI 1.54-3.39) and nonconvulsive (OR 1.7, 95% CI 1.04-2.66) seizures. Frontal onset seizures were more likely than temporal onset seizures to occur during sleep. Sleep/wake timing of seizures in first-degree relatives predicted timing of seizures in the proband. SIGNIFICANCE: We found that sleep/wake timing of seizures is associated with both epilepsy syndrome and seizure type. In addition, we provide the first evidence for a genetic contribution to sleep/wake timing of seizures in a large group of individuals with common epilepsy syndromes.

Implementation of a Systematic Tumor Screening Program for Lynch Syndrome in an Integrated Health Care Setting.

A subset of colorectal cancer (CRC) cases are attributable to Lynch syndrome (LS), a hereditary form of CRC. Effective evaluation for LS can be done on CRC tumors to guide diagnostic testing. Increased diagnosis of LS allows for surveillance and risk reduction, which can mitigate CRC-related burden and prevent cancer-related deaths. We evaluated participation in LS screening among newly diagnosed adult CRC patients. Some cases were referred for genetics evaluation prior to study recruitment (selective screening). Those not referred directly were randomized to the intervention or control (usual care) arms. Control cases were observed for one year, then given information about LS screening. Patients who declined participation were followed through the medical record. Of 601 cases of CRC, 194 (32%) enrolled in our study and were offered LS screening, 43 (7%) were followed as a control group, 148 (25%) declined participation and 216 (36%) were ineligible [63 (10%) of which received prior selective screening]. Six and nine cases of LS were identified through the intervention and selective screening groups, respectively. Overall, a higher proportion of PMS2 variants were identified in the intervention (3/6, 50%) versus selective screening groups (2/9, 22%) (not statistically significant). Eighty-eight percent and 23% of intervention and control patients, respectively, received LS screening. No control patients were found to have LS. Systems-based approaches are needed to ensure we fully identify LS cases. The proportion of LS cases from this program was 4% of newly diagnosed cases of CRC, similar to other programs.

Neuropsychological findings from older premutation carrier males and their noncarrier siblings from families with fragile X syndrome.

OBJECTIVE: Carriers of the FMR1 premutation allele are at a significantly increased risk for a late-onset neurodegenerative disorder, fragile X-associated tremor/ataxia syndrome (FXTAS). The primary features of FXTAS are late-onset intention tremor and gait ataxia. Previous reports have shown global deficits in neuropsychological measures among males with FXTAS, particularly those related to executive functioning. The purpose of this study was to investigate the neuropsychological profile among older males with the premutation who are at risk for FXTAS. METHOD: Premutation carriers, 66 with motor symptoms and 23 without, and 18 noncarrier siblings were recruited from pedigrees diagnosed with fragile X syndrome, all over age 50. Subjects were examined with a neurological test battery to identify symptoms of FXTAS and a neuropsychological test battery to investigate cognitive and behavioral profiles. Linear regression and ANCOVA were used to determine the effect of the premutation on outcome measures adjusting for age and education. RESULTS: We identified a significant decrease in scores of general intelligence and a marginally significant decrease in scores of logical memory among premutation carrier males with motor symptoms compared to the noncarrier male siblings. We did not identify deficits in executive functioning in our sample of premutation carrier males with motor symptoms. CONCLUSIONS: Similar to other reports, we found that the FMR1 premutation is associated with deficits in general intelligence and memory among older males with symptoms of FXTAS. However, our results differed in that we found no evidence of premutation-associated executive dysfunction. We provide possible explanations for this difference.

A Variance-Component Framework for Pedigree Analysis of Continuous and Categorical Outcomes.

Variance-component methods are popular and flexible analytic tools for elucidating the genetic mechanisms of complex quantitative traits from pedigree data. However, variance-component methods typically assume that the trait of interest follows a multivariate normal distribution within a pedigree. Studies have shown that violation of this normality assumption can lead to biased parameter estimates and inflations in type-I error. This limits the application of variance-component methods to more general trait outcomes, whether continuous or categorical in nature. In this paper, we develop and apply a general variance-component framework for pedigree analysis of continuous and categorical outcomes. We develop appropriate models using generalized-linear mixed model theory and fit such models using approximate maximum-likelihood procedures. Using our proposed method, we demonstrate that one can perform variance-component pedigree analysis on outcomes that follow any exponential-family distribution. Additionally, we also show how one can modify the method to perform pedigree analysis of ordinal outcomes. We also discuss extensions of our variance-component framework to accommodate pedigrees ascertained based on trait outcome. We demonstrate the feasibility of our method using both simulated data and data from a genetic study of ovarian insufficiency.