Proactive Coping in Early Pregnancy and Adverse Pregnancy Outcomes.

Objective: Outside of pregnancy, proactive coping has been associated with both mental and physical well-being and with improved quality of life in chronic disease, but its effects in pregnancy are understudied. Our objective was to evaluate whether early pregnancy proactive coping was associated with adverse perinatal outcomes. Study Design: This was a planned secondary analysis of nulliparous pregnant people recruited from a tertiary care center. Participants completed a validated assessment of proactive coping (Proactive Coping Scale) at 8-20 weeks and were followed longitudinally through delivery. Detailed pregnancy and delivery data were collected by trained research personnel. The primary outcome was a composite of adverse perinatal outcomes including unplanned cesarean delivery, gestational diabetes, and hypertensive disorders of pregnancy. Secondary analyses included individual perinatal composite components and a neonatal morbidity composite measure. Multivariate regression compared adverse perinatal outcomes by Proactive Coping Scale quartile, controlling for a priori confounders. Results: Of the 281 parturients, the median Proactive Coping Scale score was 45.0 (range 25-55), and 47% experienced an adverse perinatal outcome. After adjusting for confounders, those in the lowest Proactive Coping Scale quartile had 2.2 times higher odds of experiencing an adverse perinatal outcome compared to those in the highest Proactive Coping Scale quartile. There were no differences in odds of the individual composite components or the adverse neonatal outcome. Conclusion: Lower early pregnancy proactive coping scores are associated with significant increase in adverse perinatal outcomes. Interventions that target improving proactive coping may be a novel mechanism for reducing perinatal morbidity.

Proactive coping is the process of preparing for a stressor or goal, which has been studied in the context of chronic disease. We sought to understand how proactive coping relates to pregnancy outcomes. Our results indicated that higher proactive coping scores were associated with lower risk of adverse pregnancy outcomes. Therefore, interventions to increase proactive coping may have a role in reducing adverse pregnancy outcomes.

Early-Pregnancy Resilience Characteristics Before Versus During the COVID-19 Pandemic.

OBJECTIVE: Resilience is associated with mental and somatic health benefits. Given the social, physical, and mental health toll of the coronavirus disease 2019 (COVID-19) pandemic, we examined whether the COVID-19 pandemic was associated with population-level changes in resilience among pregnant people. STUDY DESIGN: Secondary analysis of a prospective cohort of nulliparous pregnant people <20 weeks' gestation from a single hospital. Participants completed baseline assessments of resilience characteristics, including dispositional optimism (DO), mindfulness, and proactive coping. For this analysis, participants recruited before the COVID-19 pandemic were compared with those recruited during the pandemic. The primary outcome was DO, assessed as a continuous score on the validated Revised Life Orientation Test. Secondary outcomes included continuous scores on mindfulness and proactive coping assessments. Bivariable analyses were completed using chi-squared and Mann-Whitney U tests. Multivariable linear regression compared resilience scores by recruitment time frame, controlling for confounders selected a priori: maternal age, education, and marital status. RESULTS: Of the 300 participants, 152 (50.7%) were recruited prior to the pandemic. Demographic and pregnancy characteristics differed between groups: the during-pandemic group was older, had higher levels of education, and were more likely to be married/partnered. There were no significant differences in any of the resilience characteristics before versus during the pandemic in bivariable or multivariable analyses. CONCLUSION: In this cohort, there were no differences in early pregnancy resilience characteristics before versus during the COVID-19 pandemic. This affirms that on a population level, resilience is a stable metric, even in the setting of a global pandemic. KEY POINTS: · Resilience is associated with mental and somatic health benefits.. · No difference in early-pregnancy resilience in those recruited before versus during the pandemic.. · Consistent with conceptualization of resilience as an innate characteristic..

Placental Lesions Associated With Stillbirth by Gestational Age, as Related to Cause of Death: Follow-Up Results From the Stillbirth Collaborative Research Network.

BACKGROUND: We previously identified placental lesions associated with stillbirths of varying gestational ages (GA) using advanced feature analysis. We further investigated the relationships between placental lesions and cause of death in stillbirths within these GA ranges. METHODS: Using data from the Stillbirth Collaborative Research Network, we derived a sample of stillbirths who underwent placental examination and Initial Causes of Fetal Death (INCODE) evaluation for determining cause of death. We then compared the rates of causes of death within and among GA ranges (extreme preterm stillbirth [PTSB] [<28 weeks], early PTSB [28-336/7 weeks], late PTSB [34-366/7 weeks], term stillbirth [≥37 weeks]) according to the presence of these lesions. RESULTS: We evaluated 352 stillbirths. In extreme PTSB, obstetric complications and infections were associated with acute funisitis. In early PTSB, uteroplacental insufficiency was associated with parenchymal infarcts. In term stillbirth (vs early PTSB), increased syncytial knots were associated with umbilical cord causes and infection. CONCLUSIONS: Placental lesions of high importance in distinguishing stillbirths at different GAs are associated with specific causes of death. This information is important in relating the presence of placental lesions and fetal death and in helping to understand etiologies of stillbirths at different GAs.

Early pregnancy dispositional optimism and pregnancy outcomes among nulliparous people.

BACKGROUND: Dispositional optimism, the expectation of positive outcomes after personal challenges, is a resilience factor associated with widespread health benefits. However, the data on pregnancy-related outcomes are more limited. OBJECTIVE: This study aimed to assess the association of early pregnancy dispositional optimism with adverse perinatal outcomes. STUDY DESIGN: This was a prospective cohort study completed between May 2019 and February 2022 at a single, large tertiary medical center. Nulliparous pregnant people were recruited from outpatient obstetrical care sites. Participants completed a validated assessment of dispositional optimism at <20 weeks of gestation and were followed up until delivery. The primary outcome was an adverse maternal outcome composite that included gestational diabetes mellitus, hypertensive disorders of pregnancy, and/or cesarean delivery. The secondary outcomes included individual composite components and a neonatal morbidity composite. Bivariate analyses compared characteristics and primary and secondary outcomes by dispositional optimism score quartile. Multivariable logistic regression compared outcomes by dispositional optimism score quartile with the highest quartile serving as the referent, controlling for confounders determined a priori. RESULTS: Overall, 491 pregnant people were approached for participation, and 135 pregnant people (27.5%) declined participation. Among the 284 individuals who enrolled and had complete outcome data, the median dispositional optimism score was 16.0 (interquartile range, 14-18), and 47.9% of individuals experienced at least 1 adverse maternal outcome 135 (47.9%). After adjusting for confounders, the odds of adverse maternal outcomes were significantly higher in the lowest 2 optimism quartiles: quartile 1 (adjusted odds ratio, 3.33; 95% confidence interval, 1.57-7.36) and quartile 2 (adjusted odds ratio, 2.22; 95% confidence interval, 1.05-4.79) than the highest quartile. This was driven by significantly higher rates of hypertension (quartile 1: adjusted odds ratio, 2.62; 95% confidence interval, 1.12-6.29) and cesarean delivery (quartile 1: adjusted odds ratio, 2.75; 95% confidence interval, 1.20-6.55). There was no difference noted when quartile 3 was compared with quartile 4. CONCLUSION: Lower early pregnancy dispositional optimism was associated with significantly higher odds of adverse maternal outcomes. Interventions targeting improvements in optimism may be a novel mechanism for reducing perinatal morbidity.

Assessing Intrauterine Retention according to Microscopic Stillbirth Features: A Cluster Analysis Approach.

Background: Previous studies identified microscopic changes associated with intrauterine retention of stillbirths based on clinical time of death. The objective of this study was to utilize unsupervised machine learning (not reliant on subjective measures) to identify features associated with time from death to delivery. Methods: Data were derived from the Stillbirth Collaborative Research Network. Features were chosen a priori for entry into hierarchical cluster analysis, including fetal and placental changes. Results: A four-cluster solution (coefficient = 0.983) correlated with relative time periods of "no retention," "mild retention," "moderate retention," and "severe retention." Loss of nuclear basophilia within fetal organs were found at varying rates among these clusters. Conclusions: Hierarchical cluster analysis is able to classify stillbirths based on histopathological changes, roughly correlating to length of intrauterine retention. Such clusters, which rely solely on objective fetal and placental findings, can help clinicians more accurately assess the interval from death to delivery.

Macroscopic lesions of maternal and fetal vascular malperfusion in stillborn placentas: Diagnosis in the absence of microscopic histopathological examination.

INTRODUCTION: Lesions of maternal vascular malperfusion (MVM) and fetal vascular malperfusion (FVM) are common in placentas associated with both stillbirth and live birth. The objective of this study was to identify lesions present more commonly in stillborn placentas and those most indicative of MVM and FVM without microscopic pathologic evaluation. METHODS: Data were derived from the Stillbirth Collaborative Research Network. Lesions were identified according to standard protocols published previously and categorized as either MVM or FVM according to the Amsterdam Placental Workshop Group Consensus Statement and macroscopic "umbilical cord at risk" findings. Multivariate logistic regression was used to determine the odds of stillbirth with macroscopic findings of MVM or FVM. RESULTS: 595 stillbirths and 1,305 live births were analyzed. FVM lesions (85.2%) were marginally more common (though not statistically different) in stillbirths compared to MVM lesions (81.3%). Macroscopic findings of both MVM and FVM were more common in stillbirths versus livebirths (p < 0.001). Odds ratios of macroscopic MVM and FVM lesions for stillbirth, adjusted for gestational age at delivery, maternal race (minority), ethnicity (Hispanic), age, and history of hypertension or diabetes, were 1.48 (95% CI 1.30-1.69) and 1.34 (95% CI 1.18-1.53), respectively. DISCUSSION: Macroscopic features of MVM and FVM are associated with higher odds of stillbirth versus live birth even when controlled for gestational age and maternal factors, which may be a useful clue in determining the pathophysiology of these events. This information is also useful for pathologists when microscopic examination is not available.

Identifying risk of stillbirth using machine learning.

BACKGROUND: Previous predictive models using logistic regression for stillbirth do not leverage the advanced and nuanced techniques involved in sophisticated machine learning methods, such as modeling nonlinear relationships between outcomes. OBJECTIVE: This study aimed to create and refine machine learning models for predicting stillbirth using data available before viability (22-24 weeks) and throughout pregnancy, as well as demographic, medical, and prenatal visit data, including ultrasound and fetal genetics. STUDY DESIGN: This is a secondary analysis of the Stillbirth Collaborative Research Network, which included data from pregnancies resulting in stillborn and live-born infants delivered at 59 hospitals in 5 diverse regions across the United States from 2006 to 2009. The primary aim was the creation of a model for predicting stillbirth using data available before viability. Secondary aims included refining models with variables available throughout pregnancy and determining variable importance. RESULTS: Among 3000 live births and 982 stillbirths, 101 variables of interest were identified. Of the models incorporating data available before viability, the random forests model had 85.1% accuracy (area under the curve) and high sensitivity (88.6%), specificity (85.3%), positive predictive value (85.3%), and negative predictive value (84.8%). A random forests model using data collected throughout pregnancy resulted in accuracy of 85.0%; this model had 92.2% sensitivity, 77.9% specificity, 84.7% positive predictive value, and 88.3% negative predictive value. Important variables in the previability model included previous stillbirth, minority race, gestational age at the earliest prenatal visit and ultrasound, and second-trimester serum screening. CONCLUSION: Applying advanced machine learning techniques to a comprehensive database of stillbirths and live births with unique and clinically relevant variables resulted in an algorithm that could accurately identify 85% of pregnancies that would result in stillbirth, before they reached viability. Once validated in representative databases reflective of the US birthing population and then prospectively, these models may provide effective risk stratification and clinical decision-making support to better identify and monitor those at risk of stillbirth.

Placental lesions associated with stillbirth by gestational age, according to feature importance: Results from the stillbirth collaborative research network.

INTRODUCTION: Previous studies have identified lesions commonly found in placentas associated with stillbirth but have not distinguished across a range of gestational ages (GAs). The objective of this study was to identify lesions associated with stillbirths at different GAs by adapting methods from the chemical machine learning field to assign lesion importance based on correlation with GA. METHODS: Placentas from the Stillbirth Collaborative Research Network were examined according to standard protocols. GAs at stillbirth were categorized as: <28 weeks (extreme preterm stillbirth [PTSB]), 28-33'6 weeks (early PTSB), 34-36'6 weeks (late PTSB), ≥37 weeks (term stillbirth). We identified and ranked the most discriminating placental features, as well as those that were similar across GA ranges, using Kernel Principal Covariates Regression (KPCovR). RESULTS: These analyses included 210 (47.2%) extreme PTSB, 85 (19.1%) early PTSB, 62 (13.9%) late PTSB, and 88 (19.8%) term stillbirths. When we compute the KPCovR, the first principal covariate indicates that there are four lesions (acute funisitis & nucleated fetal red blood cells found in extreme PTSB; multifocal reactive amniocytes & multifocal meconium found in term stillbirth) that distinguish GA ranges among all stillbirths. DISCUSSION: There are distinct placental lesions present across GA ranges in stillbirths; these lesions are identifiable using sophisticated feature selection. Further investigation may identify histologic changes across gestations that relate to fetal mortality.

Intrauterine Fetal Demise Associated with Vascular Malperfusion and Multiple Uterine Leiomyomata: A Report of Two Cases.

BACKGROUND: Uterine leiomyomata have been loosely associated with intrauterine fetal demise (IUFD), largely attributed to fetal growth restriction from cavitary distortion. We present two cases of IUFD in patients with non-distorting leiomyomata and pathologic placental findings of maternal vascular malperfusion (MVM) and fetal vascular malperfusion (FVM). CASE REPORT: Case 1 details a 28w3d IUFD associated with large leiomyomata (largest 11.9 × 7.6 × 9.7 cm), post-partum deep vein thrombosis, and severe pre-eclampsia histologic features. Case 2 details a 25w2d IUFD associated with smaller leiomyomata (largest 3.1 × 3.0 × 3.3 cm). Both placentas demonstrated MVM, including parenchymal thrombi and accelerated villous maturity, and FVM, including avascular stem villi. DISCUSSION: As the placentas in both cases demonstrated findings consistent with altered placental perfusion, we posit that leiomyomata in these cases may have been associated with both maternal and fetal vascular malperfusion, ultimately contributing to fetal demise.

Dispositional Optimism, Mode of Delivery, and Perceived Labor Control among Recently Delivered Parturients.

OBJECTIVE: Dispositional optimism (DO) is an understudied transdiagnostic resilience factor among peripartum individuals. Low DO is associated with increased fear and pain in labor and increased rates of emergent cesarean delivery, but it is unknown whether DO is associated with perceived control over the labor process. STUDY DESIGN: This a planned secondary analysis of a prospective observational cohort of term parturients (n = 164) who were recruited in July and August 2021 during their delivery hospitalization at a single, tertiary medical center. Participants completed a baseline demographic survey prior to delivery and then completed evaluations of DO (Revised Life-Orientation Test [LOT-R]) and control over the labor process (Labor Agentry Scale [LAS]) during their postpartum hospitalization. DO was dichotomized into low and high by score of ≤14 or >14 on LOT-R, respectively, and labor agentry scores were compared between groups. Maternal demographics, pregnancy, and delivery characteristics were compared by DO status. Multivariable regression was performed, adjusting for known confounders (induction, labor analgesia, and mode of delivery). RESULTS: Demographic, pregnancy, and neonatal characteristics were similar between those with low compared with high DO. People with low DO had significantly higher rates of cesarean section (44 vs. 24%, p = 0.02) and overall had lower LAS scores (139.4 vs. 159.4, p < 0.001), indicating that they felt less control over their labor process than those with high DO. In the multivariable regression, those with low DO had higher odds of a low LAS score after controlling for induction, labor analgesia, and mode of delivery (adjusted odds ratio = 1.29, 95% confidence interval: 1.20-1.39). CONCLUSION: People with low DO had significantly lower perceived control over their labor, even after controlling for differences in mode of delivery. Interventions to alter DO may be an innovative way to improve birth experience and its associated perinatal mental health morbidities. KEY POINTS: · It is unknown if there is an association between DO and perceived labor control.. · People with low DO had higher rates of cesarean delivery and lower perceived labor control.. · Altering DO may be a novel mechanism for improving birth experience..

Holding a baby after stillbirth: the impact of fetal congenital and structural abnormalities.

OBJECTIVE: Stillbirth can result in numerous adverse psychosocial sequelae. Recommendations vary with regard to holding the baby after a stillbirth. Few studies have addressed the impact of fetal abnormalities on these outcomes. STUDY DESIGN: Analyses of singleton stillbirths within the Stillbirth Collaborative Research Network were conducted. Patient and stillbirth characteristics were compared between those who did and did not hold their baby. Results from psychometric surveys were compared between cases with and without visible fetal anomalies. RESULT: There were no significant differences between those who held and those who did not hold in any patient or stillborn characteristics. Visible fetal abnormalities were not associated with adverse psychological outcomes. CONCLUSION: Fetal abnormalities, including congenital and post-demise changes, do not differ between those who held and did not hold their baby after stillbirth. This suggests that patients should not be discouraged from holding their stillborn infant in the presence of visible abnormalities.

Related amyloid burden and cortical atrophy in individuals with subtle cognitive decline.

BACKGROUND AND PURPOSE: Subtle cognitive decline represents a stage of cognitive deterioration in which pathological biomarkers may be present, including early cortical atrophy and amyloid deposition. Using individual items from the Montreal Cognitive Assessment and k-modes cluster analysis, we previously identified three clusters of individuals without overt cognitive impairment: (1) High Performing (no deficits in performance), (2) Memory Deficits (lower memory performance), and (3) Compound Deficits (lower memory and executive function performance). In this study, we sought to understand the relationships found in our clusters between cortical atrophy on MR and amyloid burden on PET. METHODS: Data were derived from the Alzheimer's Disease Neuroimaging Initiative and comprised individuals from our previous analyses with available MR and amyloid PET scans (n = 272). Using multiple-group structural equation modeling, we regressed amyloid standardized uptake value ratio on volumetric regions to simultaneously evaluate unique associations within each cluster. RESULTS: In our Compound Deficits cluster, greater whole cerebral amyloid burden was significantly related to right entorhinal cortical and left hippocampal atrophy, rs  = -.412 (p = .005) and -.304 (p = .049), respectively. Within this cluster, right entorhinal cortical atrophy was significantly related to greater amyloid burden within multiple frontal regions. CONCLUSIONS: The Compound Deficits cluster, which represents a group potentially at higher risk for decline, was observed to have significantly more cortical atrophy, particularly within the entorhinal cortex and hippocampus, associated with whole brain and frontal lobe amyloid burden. These findings point to a pattern of early pathological deterioration that may place these individuals at risk for future decline.

Using the Montreal cognitive assessment to identify individuals with subtle cognitive decline.

OBJECTIVE: Dementia is a devastating neurological disease that may be better managed if diagnosed earlier when subclinical neurodegenerative changes are already present, including subtle cognitive decline and mild cognitive impairment. In this study, we used item-level performance on the Montreal Cognitive Assessment (MoCA) to identify individuals with subtle cognitive decline. METHOD: Individual MoCA item data from the Alzheimer's Disease Neuroimaging Initiative was grouped using k-modes cluster analysis. These clusters were validated and examined for association with convergent neuropsychological tests. The clusters were then compared and characterized using multinomial logistic regression. RESULTS: A three-cluster solution had 77.3% precision, with Cluster 1 (high performing) displaying no deficits in performance, Cluster 2 (memory deficits) displaying lower memory performance, and Cluster 3 (compound deficits) displaying lower performance on memory and executive function. Age at MoCA (older in compound deficits), gender (more females in memory deficits), and marital status (fewer married in compound deficits) were significantly different among clusters. Age was not associated with increased odds of membership in the high-performing cluster compared to the others. CONCLUSIONS: We identified three clusters of individuals classified as cognitively unimpaired using cluster analysis. Individuals in the compound deficits cluster performed lower on the MoCA and were older and less often married than individuals in other clusters. Demographic analyses suggest that cluster identity was due to a combination of both cognitive and clinical factors. Identifying individuals at risk for future cognitive decline using the MoCA could help them receive earlier evidence-based interventions to slow further cognitive decline. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Derivation and Validation of a Predictive Algorithm for Long-Term Care Admission or Death.

OBJECTIVES: Older veterans prefer to remain in their homes and communities as long as possible. Although targeted delivery of home- and community-based services for veterans might delay long-term care placement, often, access to these services is inconsistently organized or delayed. To aid in early recognition of veterans at high risk for long-term care placement or death, we developed and validated a predictive algorithm, "Choose Home." DESIGN: A retrospective observational cohort analysis was used. SETTING AND PARTICIPANTS: Two cohorts of Veterans Health Administration (VHA; a large integrated health care system) users were assembled: Derivation (4.6 million) and Confirmation (4.7 million). The Derivation Cohort included Veterans Administration users from fiscal year 2013; the Confirmation Cohort included Veterans Administration users from fiscal year 2014. METHODS: A total of 148 predictor variables, including demographics, comorbidities, and utilizations were selected using logistic regression to predict placement in a long-term care facility for >90 days or death within 2 years. RESULTS: Veterans were predominantly male [92.8% (Derivation), 92.5% (Confirmation)] and older [61.7±15.5 (Derivation), 61.5±15.6 years (Confirmation)], with a high prevalence of comorbid conditions. Between the Derivation and Confirmation Cohorts, the areas under the receiver operating characteristic curves were found to be 0.80 [95% confidence interval (CI) 0.799, 0.802] and 0.80 (95% CI 0.800, 0.802), respectively, indicating good discrimination for determining at-risk veterans. CONCLUSIONS AND IMPLICATIONS: We created a predictive algorithm that identifies veterans at highest risk for long-term institutionalization or death. This algorithm provides clinicians with information that can proactively inform clinical decision making and care coordination. This study provides the groundwork for future investigations on how home- and community-based services can target older adults at highest risk to extend time in their communities.

Prospective Longitudinal Study of Gait and Balance in a Cohort of Elderly Essential Tremor Patients.

Background: Essential tremor (ET) encompasses a variety of features, including tremor, cognitive dysfunction, and gait and balance impairments. Gait and balance impairments in ET are often mild, but they can be severe and are, in some cases, associated with functional sequelae in terms of increased fall risk and reduced balance confidence. Previous research on gait and balance in ET has been limited to cross-sectional comparisons. There have been no longitudinal studies or prospective studies. As such, our understanding of natural history and possible predictors of declines in ET-related gait and balance impairments is incomplete. Objectives: We (1) present natural history data on the change in gait and balance measures over time, (2) provide estimates of annual rate of change in each gait and balance metric, and (3) examine the relationship between baseline clinical predictors and changes in gait and balance over time. Methods: 149 ET participants (mean age 78.7 years), enrolled in a prospective, longitudinal, clinical-pathological study, underwent an extensive evaluation of cognition, tremor, and gait and balance at three distinct intervals performed every 18 months. Gait and balance measures included a combination of performance-based tests (e.g., tandem gait, tandem stance) and self-reported assessments (e.g., number of falls, use of a walking aid). Results: Between the baseline and final assessments, numerous balance and gait measures showed evidence of decline and annual rates of change were quantified for each. We examined the predictive utility of clinical variables at baseline for five gait and balance outcomes, with global cognition and executive function standing out as the most consistent predictors. Conclusions: We present a much-needed look into the course of disease for elderly patients with ET, focusing on changes observed in gait and balance and the predictors of these changes. These results also add another dimension to the relevance of cognitive impairment observed in ET; such impairment can now be viewed as predictive of poorer gait and balance over time in ET. These findings are a useful tool for clinicians, patients, and their families to better understand and plan for changing disease-features over time.

Rate of progression from mild cognitive impairment to dementia in an essential tremor cohort: A prospective, longitudinal study.

BACKGROUND: Essential tremor (ET), among the most common neurological diseases, is associated with cognitive dysfunction. Yet, nearly all knowledge of ET-related cognitive impairment is static and cross-sectional (e.g., prevalence), with virtually no dynamic information (i.e., course and progression, conversion rates, and clinical outcomes). OBJECTIVES: To quantify the rate of progression from mild cognitive impairment (MCI) to dementia in a cohort of elderly ET cases. METHODS: 167 ET cases, enrolled in a prospective, longitudinal, clinical-pathological study, underwent an extensive neuropsychological testing battery at baseline (T1), 1.5 years (T2), and 3 years (T3). Results of these assessments informed clinical diagnoses of normal cognition (ET-NC), MCI (ET-MCI), and dementia (ET-D). RESULTS: At baseline, 26 cases (82.7 ± 7.7 years) were diagnosed with ET-MCI and were available for follow-up at T2. At T2, three of 26 (11.5%) had converted to ET-D. At the start of T2, 23 cases (83.6 ± 7.7 years) were diagnosed with ET-MCI and were available for follow-up at T3. At T3, six of 23 (26.1%) converted to ET-D. The average annual conversion rate from ET-MCI to ET-D was 12.5%. CONCLUSIONS: The study of cognitive impairment in ET is a nascent field, with limited data. We show that the conversion rate from ET-MCI to ET-dementia was 12.5%. Available studies on historical controls have reported conversion rates of 2.6-6.3%. Data such as these systematically fill gaps in knowledge, creating a scientifically-derived knowledge base to guide physicians and patients in clinical settings.

Demoralization in essential tremor: prevalence, clinical correlates, and dissociation from tremor severity.

OBJECTIVE: Essential tremor (ET) is associated with psychological difficulties, including anxiety and depression. Demoralization (feelings of helplessness, hopelessness, inability to cope), another manifestation of psychological distress, has yet to be investigated in ET. Our objectives are to (1) estimate the prevalence of demoralization in ET, (2) assess its clinical correlates, and (3) determine whether demoralization correlates with tremor severity. METHODS: We administered the Kissane Demoralization Scale (KDS-II) and several psychosocial evaluations (ie, scales assessing subjective incompetence, resilience, and depression [eg, Geriatric Depression Scale]) to 60 ET subjects. Tremor was assessed with a disability score and total tremor score. KDS-II >8 indicated demoralization. RESULTS: Among 60 ET subjects (mean age = 70.2 ± 6.8 years), the prevalence of demoralization was 13.3%, 95% confidence interval = 6.9-24.2%. Although there was overlap between demoralization and depression (10% of the sample meeting criteria for both), 54% of depressed subjects were not demoralized, and 25% of demoralized subjects were not depressed. Demoralization correlated with psychological factors, but demoralized subjects did not have significantly higher total tremor scores, tremor disability scores, or years with tremor. CONCLUSIONS: Demoralization has a prevalence of 13.3% in ET, similar to that in other chronic or terminal illnesses (eg, cancer 13-18%, Parkinson's disease 18.1%, coronary heart disease 20%). Demoralization was not a function of increased tremor severity, suggesting that it is a separable construct, which could dictate how a patient copes with his/her disease. These data further our understanding of the psychological and psychosocial correlates of ET.

Profiles of Normal Cognition in Essential Tremor.

OBJECTIVES: Patients with essential tremor exhibit heterogeneous cognitive functioning. Although the majority of patients fall under the broad classification of cognitively "normal," essential tremor is associated with increased risk for mild cognitive impairment and dementia. It is possible that patterns of cognitive performance within the wide range of normal functioning have predictive utility for mild cognitive impairment or dementia. These cross-sectional analyses sought to determine whether cognitive patterns, or "clusters," could be identified among individuals with essential tremor diagnosed as cognitively normal. We also determined whether such clusters, if identified, were associated with demographic or clinical characteristics of patients. METHODS: Elderly subjects with essential tremor (age >55 years) underwent comprehensive neuropsychological testing. Domain means (memory, executive function, attention, visuospatial abilities, and language) from 148 individuals diagnosed as cognitively normal were partitioned using k-means cluster analysis. Individuals in each cluster were compared according to cognitive functioning (domain means and test scores), demographic factors, and clinical variables. RESULTS: There were three clusters. Cluster 1 (n = 64) was characterized by comparatively low memory scores (p < .001), Cluster 2 (n = 39) had relatively low attention and visuospatial scores (p < .001), and Cluster 3 (n = 45) exhibited consistently high performance across all domains. Cluster 1 had lower Montreal Cognitive Assessment scores and reported more prescription medication use and lower balance confidence. CONCLUSIONS: Three patterns of cognitive functioning within the normal range were evident and tracked with certain clinical features. Future work will examine the extent to which such patterns predict conversion to mild cognitive impairment and/or dementia.