Contributors to and consequences of burnout among clinical genetic counselors in the United States.

Prior research has found that many genetic counselors (GCs) experience burnout. Studies of other clinicians have demonstrated that burnout can have significant detrimental consequences for clinicians, patients, and the healthcare system. We sought to explore the prevalence of, contributors to, and consequences of burnout among GCs. We performed a secondary data analysis of baseline data from Me-GC, a randomized controlled trial of meditation for GCs. We applied a systems model of burnout proposed by the National Academy of Medicine (NAM), which depicts burnout arising from a combination of contributors that include both work system and individual mediating factors, and then leading to consequences. Validated self-report scales were used to measure burnout and most contributors and consequences. Female and white GCs were over-represented in our sample. Over half (57.2%) of the 397 participants had Professional Fulfillment Index scores indicative of burnout. Multiple potential contributors were associated with burnout, consistent with its known multifactorial nature. Among work system factors, higher levels of burnout were associated with insufficient administrative support, lack of autonomy, and not feeling valued by non-GC colleagues. Individual mediating factors associated with greater burnout included higher levels of anxiety, depression, and stress. Participants with lower levels of burnout reported greater mindfulness, resilience, and use of professional self-care behaviors. Among variables categorized as consequences, higher levels of burnout were associated with lower levels of empathy, counseling alliance, and positive unconditional regard, as well as higher reactive distress, and a greater desire to reduce the amount of time spent on clinical care. Given the prevalence and potential consequences of burnout observed here, it is imperative that the field take steps to mitigate burnout risk.

Mono- and Biallelic Protein-Truncating Variants in Alpha-Actinin 2 Cause Cardiomyopathy Through Distinct Mechanisms.

BACKGROUND: ACTN2 (alpha-actinin 2) anchors actin within cardiac sarcomeres. The mechanisms linking ACTN2 mutations to myocardial disease phenotypes are unknown. Here, we characterize patients with novel ACTN2 mutations to reveal insights into the physiological function of ACTN2. METHODS: Patients harboring ACTN2 protein-truncating variants were identified using a custom mutation pipeline. In patient-derived iPSC-cardiomyocytes, we investigated transcriptional profiles using RNA sequencing, contractile properties using video-based edge detection, and cellular hypertrophy using immunohistochemistry. Structural changes were analyzed through electron microscopy. For mechanistic studies, we used co-immunoprecipitation for ACTN2, followed by mass-spectrometry to investigate protein-protein interaction, and protein tagging followed by confocal microscopy to investigate introduction of truncated ACTN2 into the sarcomeres. RESULTS: Patient-derived iPSC-cardiomyocytes were hypertrophic, displayed sarcomeric structural disarray, impaired contractility, and aberrant Ca2+-signaling. In heterozygous indel cells, the truncated protein incorporates into cardiac sarcomeres, leading to aberrant Z-disc ultrastructure. In homozygous stop-gain cells, affinity-purification mass-spectrometry reveals an intricate ACTN2 interactome with sarcomere and sarcolemma-associated proteins. Loss of the C-terminus of ACTN2 disrupts interaction with ACTN1 (alpha-actinin 1) and GJA1 (gap junction protein alpha 1), 2 sarcolemma-associated proteins, which may contribute to the clinical arrhythmic and relaxation defects. The causality of the stop-gain mutation was verified using CRISPR-Cas9 gene editing. CONCLUSIONS: Together, these data advance our understanding of the role of ACTN2 in the human heart and establish recessive inheritance of ACTN2 truncation as causative of disease.

Genetic counselor experiences with telehealth before and after COVID-19.

While genetic counselor (GC) utilization of telehealth has increased in recent years, the onset of the COVID-19 pandemic significantly accelerated the adoption of telehealth for many. We investigated GC experiences with telehealth including perceived advantages, disadvantages, and barriers using a one-time online survey of GCs who provided direct patient care in recent years. The survey examined experiences with telehealth before and after the onset of COVID-19. We made broad comparisons to findings from a similar study our research team conducted five years ago. GCs reported an increase in the utilization of telehealth over time, with significant increases from pre-2017 (44%) to pre-COVID-19 (70%) and then to present (87%) (p<.001 and .02, respectively). There was no significant change in the total number of hours worked from pre-COVID-19 to the time of survey completion, nor were there significant changes in the amount of time spent on clinical responsibilities or interfacing with patients. However, the total number of hours worked in telehealth significantly increased (z = 5.05, p<.001) as did the percent of time spent interacting with patients via telehealth [t(72)=3.74, p<.001, d = 0.44]. Participants overwhelmingly preferred video (84%) over telephone; this differs from our previous survey where video was the preferred modality for 59% (p<.001). We utilized open-ended questions to elicit reasons for modality preference. The most-cited barrier to telehealth utilization was billing/reimbursement issues, with 39% noting this obstacle. This is consistent with our previous study where 30% cited billing/reimbursement as the primary barrier. These findings indicate a need for continued efforts to improve billing and reimbursement for genetic counseling offered via telehealth. They also present an opportunity for additional exploration regarding patient preferences for telehealth modality.

U.S. Genetic counselors' perceptions of inpatient genetic counseling: A valuable model for medically complex patients.

Some genetic counselors (GCs) provide care in the inpatient setting. However, there is little literature on inpatient genetic counseling. The purpose of our study was to describe GC's experiences with the provision of genetic counseling services within inpatient care settings. Participants were recruited from respondents to a quantitative survey study on inpatient genetic counseling, which recruited GCs via the National Society of Genetic Counselors forum. GCs seeing at least five inpatients per year were invited to participate in semi-structured interviews. The interview guide explored how and why their inpatient genetic counseling service started, workflow, and the perceived impact of the service. Interviews were transcribed, inductive analysis was used to develop a codebook, and thematic analysis was used to identify themes. Twenty-one inpatient genetic counselors participated in the study. Many participants worked primarily in outpatient roles with some inpatient duties (61.9%), while the rest worked primarily in inpatient roles (38.1%). Most participants have provided inpatient care for <2 years (66.7%). Many participants were involved in inpatient care across multiple specialties (66.7%), most frequently, pediatrics, neonatology, and neurology. Three themes were identified: (a) The convenience of inpatient genetic counseling leads to increased access to appropriate genetics care for medically complex patients and their inpatient healthcare providers, (b) the inpatient genetic counseling process and workflow is not standard and has multiple moving parts, and (c) genetic counselors are fulfilled by the diverse and unique opportunities of the inpatient care setting despite the emotional intensity of this environment. Participants described their inpatient care as valuable because it increases access to genetics services and adds genetics expertise to multidisciplinary inpatient teams. Overall, participants perceive inpatient genetic counseling as a way to bring genetics care directly to patients at a critical time point in their care, which benefits medically complex patients and their multidisciplinary inpatient team.

Regional Variation in RBM20 Causes a Highly Penetrant Arrhythmogenic Cardiomyopathy.

Background Variants in the cardiomyocyte-specific RNA splicing factor RBM20 have been linked to familial cardiomyopathy, but the causative genetic architecture and clinical consequences of this disease are incompletely defined. Methods and Results To define the genetic architecture of RBM20 cardiomyopathy, we first established a database of RBM20 variants associated with cardiomyopathy and compared these to variants observed in the general population with respect to their location in the RBM20 coding transcript. We identified 2 regions significantly enriched for cardiomyopathy-associated variants in exons 9 and 11. We then assembled a registry of 74 patients with RBM20 variants from 8 institutions across the world (44 index cases and 30 from cascade testing). This RBM20 patient registry revealed highly prevalent family history of sudden cardiac death (51%) and cardiomyopathy (72%) among index cases and a high prevalence of composite arrhythmias (including atrial fibrillation, nonsustained ventricular tachycardia, implantable cardiac defibrillator discharge, and sudden cardiac arrest, 43%). Patients harboring variants in cardiomyopathy-enriched regions identified by our variant database analysis were enriched for these findings. Further, these characteristics were more prevalent in the RBM20 registry than in large cohorts of patients with dilated cardiomyopathy and TTNtv cardiomyopathy and not significantly different from a cohort of patients with LMNA-associated cardiomyopathy. Conclusions Our data establish RBM20 cardiomyopathy as a highly penetrant and arrhythmogenic cardiomyopathy. These findings underline the importance of arrhythmia surveillance and family screening in this disease and represent the first step in defining the genetic architecture of RBM20 disease causality on a population level.

Evaluating the Clinical Validity of Hypertrophic Cardiomyopathy Genes.

BACKGROUND: Genetic testing for families with hypertrophic cardiomyopathy (HCM) provides a significant opportunity to improve care. Recent trends to increase gene panel sizes often mean variants in genes with questionable association are reported to patients. Classification of HCM genes and variants is critical, as misclassification can lead to genetic misdiagnosis. We show the validity of previously reported HCM genes using an established method for evaluating gene-disease associations. METHODS: A systematic approach was used to assess the validity of reported gene-disease associations, including associations with isolated HCM and syndromes including left ventricular hypertrophy. Genes were categorized as having definitive, strong, moderate, limited, or no evidence of disease causation. We also reviewed current variant classifications for HCM in ClinVar, a publicly available variant resource. RESULTS: Fifty-seven genes were selected for curation based on their frequent inclusion in HCM testing and prior association reports. Of 33 HCM genes, only 8 (24%) were categorized as definitive ( MYBPC3, MYH7, TNNT2, TNNI3, TPM1, ACTC1, MYL2, and MYL3); 3 had moderate evidence ( CSRP3, TNNC1, and JPH2; 33%); and 22 (66%) had limited (n=16) or no evidence (n=6). There were 12 of 24 syndromic genes definitively associated with isolated left ventricular hypertrophy. Of 4191 HCM variants in ClinVar, 31% were in genes with limited or no evidence of disease association. CONCLUSIONS: The majority of genes previously reported as causative of HCM and commonly included in diagnostic tests have limited or no evidence of disease association. Systematically curated HCM genes are essential to guide appropriate reporting of variants and ensure the best possible outcomes for HCM families.

Genotype and Lifetime Burden of Disease in Hypertrophic Cardiomyopathy: Insights from the Sarcomeric Human Cardiomyopathy Registry (SHaRe).

Background: A better understanding of the factors that contribute to heterogeneous outcomes and lifetime disease burden in hypertrophic cardiomyopathy (HCM) is critically needed to improve patient management and outcomes. The Sarcomeric Human Cardiomyopathy Registry (SHaRe) was established to provide the scale of data required to address these issues, aggregating longitudinal datasets curated by eight international HCM specialty centers. Methods: Data on 4591 HCM patients (2763 genotyped), followed for a mean of 5.4±6.9 years (24,791 patient-years; median [interquartile range] 2.9 [0.3-7.9] years) were analyzed regarding cardiac arrest, cardiac transplantation, appropriate implantable cardioverter-defibrillator (ICD) therapy, all-cause death, atrial fibrillation, stroke, New York Heart Association Functional Class III/IV symptoms (all comprising the overall composite endpoint), and left ventricular ejection fraction (LVEF)<35%. Outcomes were analyzed individually and as composite endpoints. Results: Median age of diagnosis was 45.8 [30.9-58.1] years and 37% of patients were female. Age of diagnosis and sarcomere mutation status were predictive of outcomes. Patients <40 years old at diagnosis had a 77% [95% confidence interval: 72%, 80%] cumulative incidence of the overall composite outcome by age 60, compared to 32% [29%, 36%] by age 70 for patients diagnosed >60 years. Young HCM patients (20-29 years) had 4-fold higher mortality than the general United States population at a similar age. Patients with pathogenic/likely pathogenic sarcomere mutations had two-fold greater risk for adverse outcomes compared to patients without mutations; sarcomere variants of uncertain significance were associated with intermediate risk. Heart failure and atrial fibrillation were the most prevalent adverse events, although typically not emerging for several years after diagnosis. Ventricular arrhythmias occurred in 32% [23%, 40%] of patients <40 years at diagnosis, but in 1% [1%, 2%] >60 years. Conclusions: The cumulative burden of HCM is substantial and dominated by heart failure and atrial fibrillation occurring many years following diagnosis. Young age of diagnosis and the presence of a sarcomere mutation are powerful predictors of adverse outcomes. These findings highlight the need for close surveillance throughout life, and the need to develop disease-modifying therapies.

Incident Atrial Fibrillation Is Associated With MYH7 Sarcomeric Gene Variation in Hypertrophic Cardiomyopathy.

Background Although atrial fibrillation (AF) is common in hypertrophic cardiomyopathy (HCM) patients, the relationship between genetic variation and AF has been poorly defined. Characterizing genetic subtypes of HCM and their associations with AF may help to improve personalized medical care. We aimed to investigate the link between sarcomeric gene variation and incident AF in HCM patients. Methods and Results Patients from the multinational Sarcomeric Human Cardiomyopathy Registry were followed for incident AF. Those with likely pathogenic or pathogenic variants in sarcomeric genes were included. The AF incidence was ascertained by review of medical records and electrocardiograms at each investigative site. One thousand forty adult HCM patients, without baseline AF and with likely pathogenic or pathogenic variation in either MYH7 (n=296), MYBPC3 (n=659), or thin filament genes (n=85), were included. Compared with patients with variation in other sarcomeric genes, those with MYH7 variants were younger on first clinical encounter at the Sarcomeric Human Cardiomyopathy Registry site and more likely to be probands than the MYBPC3 variants. During an average follow-up of 7.2 years, 198 incident AF events occurred. Patients with likely pathogenic or pathogenic mutations in MYH7 had the highest incidence of AF after adjusting for age, sex, proband status, left atrial size, maximal wall thickness, and peak pressure gradient (hazard ratio, 1.7; 95% CI, 1.1-2.6; P=0.009). Conclusions During a mean follow-up of 7.2 years, new-onset AF developed in 19% of HCM patients with sarcomeric mutations. Compared with other sarcomeric genes, patients with likely pathogenic or pathogenic variation in MYH7 had a higher rate of incident AF independent of clinical and echocardiographic factors.

Evolving Decisions: Perspectives of Active and Athletic Individuals with Inherited Heart Disease Who Exercise Against Recommendations.

Individuals with hypertrophic cardiomyopathy (HCM) and long QT syndrome (LQTS) are advised to avoid certain forms of exercise to reduce their risk of sudden death. Cardiovascular genetic counselors facilitate both adaptation to, and decision-making about, these exercise recommendations. This study describes decision-making and experiences of active adults who exercise above physicians' recommendations. Purposive sampling was used to select adults with HCM and LQTS who self-identified as exercising above recommendations. Semi-structured interviews explored participants' decision-making and the psychological impact of exercise recommendations. Fifteen individuals were interviewed (HCM: 10; LQTS: 5; mean age: 40). Transcripts were coded and analyzed for underlying themes. Despite exercising above recommendations, nearly all participants made some modifications to their prior exercise regimen. Often these decisions changed over time, underscoring the importance of shared decision-making conversations beyond the initial evaluation. The importance of exercise was frequently cited as a reason for continued exercise, as were perceptions of sudden death risk as low, acceptable, or modifiable. Many participants reported that family and friends supported their exercise decisions, with a minority having family or friends that expressed significant reservations. Genetic counselors, cardiologists, and nurses can use these data to inform their counseling regarding exercise recommendations.

Mindfulness Among Genetic Counselors Is Associated with Increased Empathy and Work Engagement and Decreased Burnout and Compassion Fatigue.

Genetic counselors experience high rates of compassion fatigue and an elevated risk for burnout, both of which can negatively impact patient care and retention in the profession. In other healthcare professions, mindfulness training has been successfully used to address similar negative psychological sequelae and to bolster empathy, which is the foundation of our counseling work. We aimed to assess associations between mindfulness and key professional variables, including burnout, compassion fatigue, work engagement, and empathy. Data were collected via an anonymous, online survey that included validated measures of mindfulness and these key professional variables. The survey was completed by 441 genetic counselors involved in direct patient care. Half of the respondents (50.1%) reported engaging in yoga, meditation, and/or breathing exercises. Mindfulness was positively correlated with work engagement (r = 0.24, p < 0.001) and empathy (as measured through four subscales: perspective taking (r = 0.15, p = 0.002), empathic concern (r = 0.11, p = 0.03), fantasy (r = - 0.11, p = 0.03) and personal distress (r = - 0.15, p = 0.001)). Mindfulness was negatively correlated with compassion fatigue (r = - 0.48, p < 0.001) and burnout (r = - 0.50, p < 0.001). Given these findings, mindfulness training may be a valuable addition to graduate and continuing education for genetic counselors. The integration of mindfulness into the genetic counseling field will likely improve professional morale and well-being, while promoting workforce retention and bolstering the relational and counseling aspects of our clinical work.

Adaptation and validation of the ACMG/AMP variant classification framework for MYH7-associated inherited cardiomyopathies: recommendations by ClinGen's Inherited Cardiomyopathy Expert Panel.

PurposeIntegrating genomic sequencing in clinical care requires standardization of variant interpretation practices. The Clinical Genome Resource has established expert panels to adapt the American College of Medical Genetics and Genomics/Association for Molecular Pathology classification framework for specific genes and diseases. The Cardiomyopathy Expert Panel selected MYH7, a key contributor to inherited cardiomyopathies, as a pilot gene to develop a broadly applicable approach.MethodsExpert revisions were tested with 60 variants using a structured double review by pairs of clinical and diagnostic laboratory experts. Final consensus rules were established via iterative discussions.ResultsAdjustments represented disease-/gene-informed specifications (12) or strength adjustments of existing rules (5). Nine rules were deemed not applicable. Key specifications included quantitative frameworks for minor allele frequency thresholds, the use of segregation data, and a semiquantitative approach to counting multiple independent variant occurrences where fully controlled case-control studies are lacking. Initial inter-expert classification concordance was 93%. Internal data from participating diagnostic laboratories changed the classification of 20% of the variants (n = 12), highlighting the critical importance of data sharing.ConclusionThese adapted rules provide increased specificity for use in MYH7-associated disorders in combination with expert review and clinical judgment and serve as a stepping stone for genes and disorders with similar genetic and clinical characteristics.

Clinical Cardiovascular Genetic Counselors Take a Leading Role in Team-based Variant Classification.

We sought to delineate the genetic test review and interpretation practices of clinical cardiovascular genetic counselors. A one-time anonymous online survey was taken by 46 clinical cardiovascular genetic counselors recruited through the National Society of Genetic Counselors Cardiovascular Special Interest Group. Nearly all (95.7%) gather additional information on variants reported on clinical genetic test reports and most (81.4%) assess the classification of such variants. Clinical cardiovascular genetic counselors typically (81.0%) classify variants in collaboration with cardiologist and/or geneticist colleagues, with the genetic counselor as the team member who is primarily responsible. Variant classification is a relatively recent (mean 3.2 years) addition to practice. Most genetic counselors learned classification skills on the job from clinical and laboratory colleagues. Recent graduates were more likely to have learned this in graduate school (p < 0.001). Genetic counselors are motivated to take responsibility for the classification of variants because of prior experiences with variant reclassification, inconsistencies between laboratories, and incomplete laboratory reports. They are also driven by a sense of professional duty and their proximity to the clinical context. This practice represents a broadening of the skill set of clinical cardiovascular genetic counselors and a unique expertise that they contribute to the interdisciplinary teams in which they work.

Clinically impactful differences in variant interpretation between clinicians and testing laboratories: a single-center experience.

PurposeTo describe the frequency and nature of differences in variant classifications between clinicians and genetic testing laboratories.MethodsRetrospective review of variants identified through genetic testing ordered in routine clinical care by clinicians in the Stanford Center for Inherited Cardiovascular Disease. We compared classifications made by clinicians, the testing laboratory, and other laboratories in ClinVar.ResultsOf 688 laboratory classifications, 124 (18%) differed from the clinicians' classifications. Most differences in classification would probably affect clinical care of the patient and/or family (83%, 103/124). The frequency of discordant classifications differed depending on the testing laboratory (P < 0.0001) and the testing laboratory's classification (P < 0.00001). For the majority (82/124, 66%) of discordant classifications, clinicians were more conservative (less likely to classify a variant pathogenic or likely pathogenic). The clinicians' classification was discordant with one or more submitter in ClinVar in 49.1% (28/57) of cases, while the testing laboratory's classification was discordant with a ClinVar submitter in 82.5% of cases (47/57, P = 0.0002).ConclusionThe clinical team disagreed with the laboratory's classification at a rate similar to that of reported disagreements between laboratories. Most of this discordance was clinically significant, with clinicians tending to be more conservative than laboratories in their classifications.

Care in Specialized Centers and Data Sharing Increase Agreement in Hypertrophic Cardiomyopathy Genetic Test Interpretation.

BACKGROUND: Clinically impactful differences in the interpretation of genetic test results occur between laboratories and clinicians. To improve the classification of variants, a better understanding of why discrepancies occur and how they can be reduced is needed. METHODS AND RESULTS: We examined the frequency, causes, and resolution of discordant variant classifications in the Sarcomeric Human Cardiomyopathy Registry (SHaRe), a consortium of international centers with expertise in the clinical management and genetic architecture of hypertrophic cardiomyopathy. Of the 112 variants present in patients at >1 center, 23 had discordant classifications among centers (20.5%; Fleiss κ, 0.54). Discordance was more than twice as frequent among clinical laboratories in ClinVar, a public archive of variant classifications (315/695 variants; 45.2%; Fleiss κ, 0.30; P<0.001). Discordance in SHaRe most frequently occurred because hypertrophic cardiomyopathy centers had access to different privately held data when making their classifications (75.0%). Centers reassessed their classifications based on a comprehensive and current data summary, leading to reclassifications that reduced the discordance rate from 20.5% to 10.7%. Different interpretations of rarity and co-occurrence with pathogenic variants contributed to residual discordance. CONCLUSIONS: Discordance in variant classification among hypertrophic cardiomyopathy centers is largely attributable to privately held data. Some discrepancies are caused by differences in expert assessment of conflicting data. Discordance was markedly lower among centers specialized in hypertrophic cardiomyopathy than among clinical laboratories, suggesting that optimal genetic test interpretation occurs in the context of clinical care delivered by specialized centers with both clinical and genetics expertise.

Role of Genetic Testing in Inherited Cardiovascular Disease: A Review.

Importance: Genetic testing is a valuable tool for managing inherited cardiovascular disease in patients and families, including hypertrophic, dilated, and arrhythmogenic cardiomyopathies and inherited arrhythmias. By identifying the molecular etiology of disease, genetic testing can improve diagnostic accuracy and refine family management. However, unique features associated with genetic testing affect the interpretation and application of results and differentiate it from traditional laboratory-based diagnostics. Clinicians and patients must have accurate and realistic expectations about the yield of genetic testing and its role in management. Familiarity with the rationale, implications, benefits, and limitations of genetic testing is essential to achieve the best possible outcomes. Observations: Successfully incorporating genetic testing into clinical practice requires (1) recognizing when inherited cardiovascular disease may be present, (2) identifying appropriate individuals in the family for testing, (3) selecting the appropriate genetic test, (4) understanding the complexities of result interpretation, and (5) effectively communicating the results and implications to the patient and family. Obtaining a detailed family history is critical to identify families who will benefit from genetic testing, determine the best strategy, and interpret results. Instead of focusing on an individual patient, genetic testing requires consideration of the family as a unit. Consolidation of care in centers with a high level of expertise is recommended. Clinicians without expertise in genetic testing will benefit from establishing referral or consultative networks with experienced clinicans in specialized multidisciplinary clinics. Conclusions and Relevance: Genetic testing provides a foundation for transitioning to more precise and individualized management. By distinguishing phenotypic subgroups, identifying disease mechanisms, and focusing family care, gene-based diagnosis can improve management. Successful integration of genetic testing into clinical practice requires understanding of the complexities of testing and effective communication of the implications to patients and families.

Theories for Psychotherapeutic Genetic Counseling: Fuzzy Trace Theory and Cognitive Behavior Theory.

Psychotherapeutic genetic counseling is an increasingly relevant practice description. In this paper we aim to demonstrate how psychotherapeutic genetic counseling can be achieved by using psychological theories to guide one's approach to working with clients. We describe two illustrative examples, fuzzy trace theory and cognitive behavior theory, and apply them to two challenging cases. The theories were partially derived from evidence of beneficial client outcomes using a psychotherapeutic approach to patient care in other settings. We aim to demonstrate how these two specific theories can inform psychotherapeutic genetic counseling practice, and use them as examples of how to take a psychological theory and effectively apply it to genetic counseling.