Pre-pregnancy participation and performance in world's largest cross-country ski race as a proxy for physical exercise and fitness, and perinatal outcomes: Prospective registry-based cohort study.

OBJECTIVE: Investigate associations between pre-pregnancy participation and performance in a demanding cross-country ski race (proxy for exercise volume and fitness) and perinatal outcomes. Pre-registered protocol: osf.io/aywg2. DESIGN: Prospective cohort study. SETTING: Based on entire overlap between the Vasaloppet registry and the population-based Swedish Pregnancy Register. SAMPLE: All female Vasaloppet participants 1991-2017 with subsequent singleton delivery (skiers), and age- and county-matched non-skiers. METHODS: We calculated odds ratios (ORs) for non-skiers versus skiers (model 1) and, among skiers, by performance (model 2), in Bayesian logistic regressions adjusted for socio-demographics, lifestyle factors, and comorbidities. We repeated calculations adjusting for early pregnancy body mass index (potential mediator) and explored robustness (selection/exposure settings; multiple comparisons correction). MAIN OUTCOME MEASURES: Twenty-nine important perinatal outcomes, predefined based on existing expert consensus. RESULTS: Non-skiers (n = 194 384) versus skiers (n = 15 377) (and slower versus faster performance, not shown) consistently had higher odds of gestational diabetes mellitus (GDM) (OR 1.70, 95% highest density interval: 1.40-2.09), excessive gestational weight gain (GWG) (1.28, 1.22-1.38), psychiatric morbidity (1.60, 1.49-1.72), any caesarean section (CS) (1.34, 1.28-1.40), elective CS (1.39, 1.29-1.49), and large-for-gestational-age babies (>90th percentile, 1.11, 1.04-1.18); lower odds of inadequate GWG (0.83, 0.79-0.88); and no associations with fetal/neonatal complications (e.g. preterm birth [1.09, 0.98-1.20], small for gestational age [SGA] [1.23, 1.05-1.45]). Adjustment for body mass index attenuated associations with excessive (1.20, 1.14-1.30) and inadequate GWG (0.87, 0.83-0.92) and large for gestational age (1.07, 1.00-1.13). CONCLUSION: Non-skiers compared with skiers, and slower versus faster performance, consistently displayed higher odds of GDM, excessive GWG, psychiatric morbidity, CS and large-for-gestational-age babies; and lower odds of inadequate GWG, after adjustment for socio-demographic and lifestyle factors and comorbidities. There were no associations with fetal/neonatal complications.

Executive functioning in body dysmorphic disorder and obsessive-compulsive disorder.

OBJECTIVE: To assess executive functions (EFs) in patients with body dysmorphic disorder (BDD) and obsessive-compulsive disorder (OCD) compared with healthy controls. METHODS: Adults diagnosed with BDD (n = 26) or OCD (n = 29) according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and healthy controls (n = 28) underwent validated and computerized neuropsychological tests, spatial working memory (SWM), intra-extra-dimensional set shifting (IED), and stop signal task (SST), from the Cambridge Neuropsychological Test Automated Battery (CANTAB). Test performance was compared between groups, and correlated with standardized symptom severity of BDD and OCD. Significance level was set to P < .05. RESULTS: There were no statistically significant between-group differences on key outcome measures in SWM, IED, or SST. There was a weak positive correlation between symptom severity and test errors on SWM and IED in both OCD and BDD groups; increased clinical severity was associated with more errors in these tests. Furthermore, there was a negative correlation between symptom severity and SST in the BDD group. CONCLUSIONS: Patients with BDD or OCD did not differ from healthy control subjects in terms of test performance; however, there were several statistically significant correlations between symptom severity and performance in those with BDD or OCD. More studies on EFs in BDD and OCD are required to elucidate if there are differences in EFs between these two disorders.

Internet-Based Cognitive Behavioral Therapy for Patients Reporting Symptoms of Anxiety and Depression After Myocardial Infarction: U-CARE Heart Randomized Controlled Trial Twelve-Month Follow-up.

BACKGROUND: The U-CARE Heart trial was one of the first randomized controlled trials to evaluate the effect of internet-based cognitive behavioral therapy on self-reported symptoms of anxiety or depression for patients with a recent myocardial infarction. While the effects of internet-based cognitive behavioral therapy on Hospital Anxiety and Depression Scale (HADS) scores at 14 weeks postbaseline were not significant, in this study, we investigated possible long-term effects of treatment. OBJECTIVE: The aim of this study was to evaluate the long-term effectiveness of internet-based cognitive behavioral therapy on self-reported symptoms of anxiety and depression in patients 12 months after a myocardial infarction and to explore subsequent occurrences of cardiovascular disease events. METHODS: Shortly after acute myocardial infarction, 239 patients (33% female, mean age 59.6 years) reporting mild-to-moderate symptoms of anxiety or depression were randomized to 14 weeks of therapist-guided internet-based cognitive behavioral therapy (n=117) or treatment as usual (n=122). Data from national registries were used to explore group differences in clinical outcomes such as cardiovascular disease and cardiovascular-related mortality for a follow-up period of up to 5 years: group differences in HADS total score 1 year post-myocardial infarction, the primary outcome, was analyzed using multiple linear regression. Secondary outcomes, such as HADS anxiety and depression subscales and the Cardiac Anxiety Questionnaire total score (CAQ), which measures heart-focused anxiety, were analyzed in the same way. Multiple imputation was used to account for missing data, and a pooled treatment effect was estimated. Adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) for data pertaining to registry outcomes. RESULTS: Both groups reported lower HADS total scores 1 year after myocardial infarction than those at baseline. HADS total scores were not significantly different between the treatment and control groups 1 year after myocardial infarction (ß=-1.14, 95% CI -2.73 to 0.45, P=.16). CAQ was the only measure improved significantly by internet-based cognitive behavioral therapy when compared with treatment as usual (ß=-2.58, 95% CI -4.75 to -0.42, P=.02) before adjusting for multiple comparisons. The composite outcome of nonfatal cardiovascular events and cardiovascular-related mortality did not differ between groups but was numerically higher in the internet-based cognitive behavioral therapy group, who were at slightly greater risk (HR 1.8, 95% CI 0.96 to 3.4, P=.07). Adjusting for previous myocardial infarction and diabetes attenuated this estimate (HR 1.5, 95% CI 0.8 to 2.8, P=.25). CONCLUSIONS: Internet-based cognitive behavioral therapy was not superior in reducing self-reported symptoms of depression or anxiety compared to treatment as usual at the 1-year follow-up after myocardial infarction. A reduction in cardiac-related anxiety was observed but was not significant after adjusting for multiple comparisons. There was no difference in risk of cardiovascular events between the treatment groups. Low treatment adherence, which might have affected treatment engagement and outcomes, should be considered when interpreting these results. TRIAL REGISTRATION: ClinicalTrials.gov NCT01504191; https://clinicaltrials.gov/ct2/show/NCT01504191. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-015-0689-y.

The MemClin project: a prospective multi memory clinics study targeting early stages of cognitive impairment.

BACKGROUND: There remains a lack of large-scale clinical studies of cognitive impairment that aim to increase diagnostic and prognostic accuracy as well as validate previous research findings. The MemClin project will amass large quantities of cross-disciplinary data allowing for the construction of robust models to improve diagnostic accuracy, expand our knowledge on differential diagnostics, strengthen longitudinal prognosis, and harmonise examination protocols across centres. The current article describes the Memory Clinic (MemClin) project's study-design, materials and methods, and patient characteristics. In addition, we present preliminary descriptive data from the ongoing data collection. METHODS: Nine out of ten memory clinics in the greater Stockholm area, which largely use the same examination methods, are included. The data collection of patients with different stages of cognitive impairment and dementia is coordinated centrally allowing for efficient and secure large-scale database construction. The MemClin project rest directly on the memory clinics examinations with cognitive measures, health parameters, and biomarkers. RESULTS: Currently, the MemClin project has informed consent from 1543 patients. Herein, we present preliminary data from 835 patients with confirmed cognitive diagnosis and neuropsychological test data available. Of those, 239 had dementia, 487 mild cognitive impairment (MCI), and 104 subjective cognitive impairment (SCI). In addition, we present descriptive data on visual ratings of brain atrophy and cerebrospinal fluid markers. CONCLUSIONS: Based on our current progress and preliminary data, the MemClin project has a high potential to provide a large-scale database of 1200-1500 new patients annually. This coordinated data collection will allow for the construction of improved diagnostic and prognostic models for neurodegenerative disorders and other cognitive conditions in their naturalistic setting.

Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial.

BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in rehabilitation after myocardial infarction (MI). In a nationwide trial of internet-delivered cognitive behavior therapy (iCBT) for the high-risk subgroup of patients with MI also reporting symptoms of anxiety, depression, or both (MI-ANXDEP), adherence was low. Since low adherence to psychotherapy leads to a waste of therapeutic resources and risky treatment abortion in MI-ANXDEP patients, identifying early predictors for adherence is potentially valuable for effective targeted care. OBJECTIVES: The goal of the research was to use supervised machine learning to investigate both established and novel predictors for iCBT adherence in MI-ANXDEP patients. METHODS: Data were from 90 MI-ANXDEP patients recruited from 25 hospitals in Sweden and randomized to treatment in the iCBT trial Uppsala University Psychosocial Care Programme (U-CARE) Heart study. Time point of prediction was at completion of the first homework assignment. Adherence was defined as having completed more than 2 homework assignments within the 14-week treatment period. A supervised machine learning procedure was applied to identify the most potent predictors for adherence available at the first treatment session from a range of demographic, clinical, psychometric, and linguistic predictors. The internal binary classifier was a random forest model within a 3×10-fold cross-validated recursive feature elimination (RFE) resampling which selected the final predictor subset that best differentiated adherers versus nonadherers. RESULTS: Patient mean age was 58.4 years (SD 9.4), 62% (56/90) were men, and 48% (43/90) were adherent. Out of the 34 potential predictors for adherence, RFE selected an optimal subset of 56% (19/34; Accuracy 0.64, 95% CI 0.61-0.68, P<.001). The strongest predictors for adherence were, in order of importance, (1) self-assessed cardiac-related fear, (2) sex, and (3) the number of words the patient used to answer the first homework assignment. CONCLUSIONS: For developing and testing effective iCBT interventions, investigating factors that predict adherence is important. Adherence to iCBT for MI-ANXDEP patients in the U-CARE Heart trial was best predicted by cardiac-related fear and sex, consistent with previous research, but also by novel linguistic predictors from written patient behavior which conceivably indicate verbal ability or therapeutic alliance. Future research should investigate potential causal mechanisms and seek to determine what underlying constructs the linguistic predictors tap into. Whether these findings replicate for other interventions outside of Sweden, in larger samples, and for patients with other conditions who are offered iCBT should also be investigated. TRIAL REGISTRATION: ClinicalTrials.gov NCT01504191; https://clinicaltrials.gov/ct2/show/NCT01504191 (Archived at Webcite at http://www.webcitation.org/6xWWSEQ22).

Internet-Based Cognitive Behavioral Therapy for Symptoms of Depression and Anxiety Among Patients With a Recent Myocardial Infarction: The U-CARE Heart Randomized Controlled Trial.

BACKGROUND: Symptoms of depression and anxiety are common after a myocardial infarction (MI). Internet-based cognitive behavioral therapy (iCBT) has shown good results in other patient groups. OBJECTIVE: The aim of this study was to evaluate the effectiveness of an iCBT treatment to reduce self-reported symptoms of depression and anxiety among patients with a recent MI. METHODS: In total, 3928 patients were screened for eligibility in 25 Swedish hospitals. Of these, 239 patients (33.5%, 80/239 women, mean age 60 years) with a recent MI and symptoms of depression or anxiety were randomly allocated to a therapist-guided, 14-week iCBT treatment (n=117), or treatment as usual (TAU; n=122). The iCBT treatment was designed for post-MI patients. The primary outcome was the total score of the Hospital Anxiety and Depression Scale (HADS) 14 weeks post baseline, assessed over the internet. Treatment effect was evaluated according to the intention-to-treat principle, with multiple imputations. For the main analysis, a pooled treatment effect was estimated, controlling for age, sex, and baseline HADS. RESULTS: There was a reduction in HADS scores over time in the total study sample (mean delta=-5.1, P<.001) but no difference between the study groups at follow-up (beta=-0.47, 95% CI -1.95 to 1.00, P=.53). Treatment adherence was low. A total of 46.2% (54/117) of the iCBT group did not complete the introductory module. CONCLUSIONS: iCBT treatment for an MI population did not result in lower levels of symptoms of depression or anxiety compared with TAU. Low treatment adherence might have influenced the result. TRIAL REGISTRATION: ClinicalTrials.gov NCT01504191; https://clinicaltrials.gov/ct2/show/NCT01504191 (Archived at Webcite at http://www.webcitation.org/6xWWSEQ22).

Temporal changes in myocardial infarction incidence rates are associated with periods of perceived psychosocial stress: A SWEDEHEART national registry study.

BACKGROUND: Psychosocial stress might trigger myocardial infarction (MI). Increased MI incidence coincides with recurrent time periods during the year perceived as particularly stressful in the population. METHODS: A stress-triggering hypothesis on the risk of MI onset was investigated with Swedish population data on MI hospital admission date and symptom onset date (N=156,690; 148,176) as registered from 2006 through 2013 in the national quality registry database Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART). Poisson regression was applied to analyze daily MI rates during days belonging to the Christmas and New Year holidays, turns of the month, Mondays, weekends, and summer vacation in July compared with remaining control days. RESULTS: Adjusted incidence rate ratios (IRRs) for MI rates were higher during Christmas and New Year holidays (IRR=1.07 [1.04-1.09], P<.001) and on Mondays (IRR=1.11 [1.09-1.13], P<.001) and lower in July (IRR=0.92 [0.90-0.94], P<.001) and over weekends (IRR=0.88 [0.87-0.89], P<.001), yet not during the turns of the month (IRR=1.01 [1.00-1.02], P=.891). These findings were also predominantly robust with symptom onset as alternative outcome, when adjusting for both established and some suggested-but-untested confounders, and in 8 subgroups. CONCLUSIONS: Fluctuations in daily MI incidence rates are systematically related to time periods of presumed psychosocial stress. Further research might clarify mechanisms that are amenable to clinical alteration.

Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.

BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compared four popular machine learning algorithms trained on unselected, nation-wide population data from Sweden to solve the binary classification problem of predicting survival versus non-survival 2 years after first myocardial infarction (MI). METHODS: This prospective national registry study for prognostic accuracy validation of predictive models used data from 51,943 complete first MI cases as registered during 6 years (2006-2011) in the national quality register SWEDEHEART/RIKS-HIA (90% coverage of all MIs in Sweden) with follow-up in the Cause of Death register (> 99% coverage). Primary outcome was AUROC (C-statistic) performance of each model on the untouched test set (40% of cases) after model development on the training set (60% of cases) with the full (39) predictor set. Model AUROCs were bootstrapped and compared, correcting the P-values for multiple comparisons with the Bonferroni method. Secondary outcomes were derived when varying sample size (1-100% of total) and predictor sets (39, 10, and 5) for each model. Analyses were repeated on 79,869 completed cases after multivariable imputation of predictors. RESULTS: A Support Vector Machine with a radial basis kernel developed on 39 predictors had the highest complete cases performance on the test set (AUROC = 0.845, PPV = 0.280, NPV = 0.966) outperforming Boosted C5.0 (0.845 vs. 0.841, P = 0.028) but not significantly higher than Logistic Regression or Random Forest. Models converged to the point of algorithm indifference with increased sample size and predictors. Using the top five predictors also produced good classifiers. Imputed analyses had slightly higher performance. CONCLUSIONS: Improved mortality prediction at hospital discharge after first MI is important for identifying high-risk individuals eligible for intensified treatment and care. All models performed accurately and similarly and because of the superior national coverage, the best model can potentially be used to better differentiate new patients, allowing for improved targeting of limited resources. Future research should focus on further model development and investigate possibilities for implementation.

Provision of professional interpreters and Heart School attendance for foreign-born compared with native-born myocardial infarction patients in Sweden.

Objective: Interactive patient education, referred to as Heart School (HS), is an important part of cardiac rehabilitation (CR) after myocardial infarction (MI), which has been associated with improved outcomes. Little is known about HS attendance among foreign-born patients. The aims were to assess; 1) HS attendance in foreign-born versus native-born patients, 2) the association between the provision of professional interpreters and HS attendance, and 3) secondary prevention goal attainment after MI based on HS attendance. Methods: The provision of professional interpreters during post-MI follow-up was assessed by a questionnaire sent to all 78 Swedish CR sites. Patient-specific data was retrieved from the SWEDEHEART registry. The association between the provision of professional interpreters and HS attendance was estimated with logistic regression models. HS attendance and attainment of secondary prevention goals by country of birth were investigated. Results: In total, 8377 patients < 75 years (78 % male) were included. Foreign-born (19.8 %) had a higher prevalence of cardiovascular risk factors and were less likely to attend HS (33.7 vs 51.3 %, p < 0.001), adjusted odds ratio (OR) 0.59 (95 % confidence interval (CI) 0.52-0.68), compared with native-born patients. CR centers providing professional interpreters had higher HS attendance among foreign-born (adjusted OR 1.55, 95 % CI 1.20-2.01) but not among native-born patients. Attending HS was similarly associated with improved secondary prevention goal attainment in both groups. Conclusions: Despite similar positive association between HS attendance and attainment of secondary prevention goals, foreign-born patients attended HS less often. With the provision of professional interpreters, HS attendance increased in foreign-born patients.

Characterization of exhaustion disorder and identification of outcomes that matter to patients: Qualitative content analysis of a Swedish national online survey.

Fatigue is a common presenting problem in healthcare settings, often attributed to chronic psychosocial stress. Understanding of fatigue and development of evidence-based treatments is hampered by a lack of consensus regarding diagnostic definitions and outcomes to be measured in clinical trials. This study aimed to map outcome domains of importance to the Swedish diagnosis stress-induced exhaustion disorder (ED; ICD-10, code F43.8 A). An online survey was distributed nationwide in Sweden to individuals who reported to have been diagnosed with ED and to healthcare professionals working with ED patients. To identify outcome domains, participants replied anonymously to four open-ended questions about symptoms and expectations for ED-treatment. Qualitative content analysis was conducted of a randomized subsample of respondents, using a mathematical model to determine data saturation. Six hundred seventy participants (573 with reported ED, 97 healthcare professionals) completed the survey. Qualitative content analysis of answers supplied by 105 randomized participants identified 87 outcomes of importance to ED encompassing physical, cognitive, and emotional symptoms as well as functional disability. Self-rating scales indicated that many ED participants, beyond reporting fatigue, also reported symptoms of moderate to severe depression, anxiety, insomnia, poor self-rated health, and sickness behavior. This study presents a map of outcome domains of importance for ED. Results shed light on the panorama of issues that individuals with ED deal with and can be used as a step to further understand the condition and to reach consensus regarding outcome domains to measure in clinical trials of chronic stress and fatigue. Preregistration: Open Science Framework (osf.io) with DOI https://doi.org/10.17605/OSF.IO/4VUAG.

Empirically Defining Treatment Response and Remission in Obsessive-Compulsive Disorder Using the Obsessive-Compulsive Inventory-Revised.

In clinical trials of obsessive-compulsive disorder (OCD), clinical outcomes are generally measured using lengthy clinician-administered interviews. However, in routine clinical practice, many clinicians lack the time to administer such instruments. This study evaluated cutoffs for treatment response and remission in OCD using the self-rated Obsessive-Compulsive Inventory-Revised (OCI-R). Data from 349 patients in three clinical trials of cognitive-behavioral therapy for OCD were pooled for analysis. The OCI-R was compared to gold-standard criteria for response and remission based on the clinician-administered Yale-Brown Obsessive Compulsive Scale and the Clinical Global Impression Scale. The results showed that a ≥40% reduction on the OCI-R was the optimal cutoff for treatment response, with a sensitivity of 0.72 and a specificity of 0.79. For remission status, the optimal cutoff was ≤8 points on the OCI-R, with a sensitivity of 0.57 and specificity of 0.83. Results from additional analyses using the 12-item version of the OCI were similar. These cutoffs provide a simple and time-efficient way to help determine treatment response and remission in OCD when the administration of clinician-administered instruments is unfeasible.

The Association Between Temporal Atrophy and Episodic Memory Is Moderated by Education in a Multi-Center Memory Clinic Sample.

BACKGROUND: Cognitive reserve (CR) is hypothesized to partially explain the discrepancy between Alzheimer's disease related brain pathology and cognitive performance. Educational attainment is often used as a proxy for CR. OBJECTIVE: To examine the association of years of education and the relationship between atrophy in the medial temporal lobe and episodic memory, in a cross-sectional ecological multi-center memory clinic cohort. METHODS: Included patients (n = 702) had undergone memory clinic examination and were diagnosed with subjective cognitive impairment (n = 99), mild cognitive impairment (n = 471), or dementia (n = 132). Total years of education were used as a moderating variable and neuropathology was operationalized as visual ratings of medial temporal lobe atrophy (MTA) on magnetic resonance imaging and computer tomography images. Weighted least squares regression and multiple regression were used to analyze moderation and the effect of education separately by diagnostic group. A composite score of two episodic memory tests constituted the dependent variable. RESULTS: After controlling for age and gender the interaction term between MTA and years of education was significant indicating moderation. In particular, the regression model showed that at low levels of MTA, high education individuals had better episodic memory performance. However, at higher MTA levels, high education individuals had the lowest episodic memory performance. Education had a significant positive effect on episodic memory in SCI and MCI, but not dementia. CONCLUSION: These results extend the findings of education moderating the effect of MTA on cognition to a naturalistic memory clinic setting. Implications of the findings for theories on CR are discussed.

Association of anxiety or depression with risk of recurrent cardiovascular events and death after myocardial infarction: A nationwide registry study.

BACKGROUND: Depression and anxiety are risk factors for patients with myocardial infarction (MI). However, the association of a previous psychiatric diagnosis of anxiety or depression, or only such self-reported symptoms, with cardiovascular outcomes and mortality post-MI has not been previously examined in the same nationwide cohort. METHODS: We linked demographic, socioeconomic and clinical data from four nationwide Swedish registries for patients enrolled in cardiac rehabilitation (CR) after first-time MI (2006-2015, N = 45,096). After multiple imputation, we applied Cox regression to estimate the post-MI outcome risk for patients with a previous psychiatric diagnosis of anxiety/depression (Diagnosis), patients with no formal diagnosis but self-reported symptoms of anxiety/depression (Symptoms), versus patients with neither Diagnosis nor Symptoms (Reference). RESULTS: During one-year follow-up, fully adjusted models showed that patients with Diagnosis had a higher risk (hazard ratio [95%CI]) of all-cause mortality (1.86 [1.36, 2.53]), reinfarction (1.14 [1.06, 1.22]), their composite (1.15 [1.07, 1.23]), and an extended cardiovascular composite (1.19 [1.12, 1.26]), versus Reference, even though 77% reported no symptoms at the time of MI. In patients with Symptoms, estimates were also elevated yet somewhat attenuated compared to Reference. Findings were overall robust across multiple sensitivity analyses. CONCLUSIONS: Both a previous diagnosis, and present self-reported symptoms of anxiety or depression are associated with an increased risk of death and recurrent cardiovascular events in adults with first-time MI. Only screening for present symptoms is inadequate for assessing this excessive risk. Assessment of both psychiatric history and self-reported symptoms seems warranted for these patients.

Comparing three neuropsychological subgrouping approaches in subjective and mild cognitive impairment from a naturalistic multicenter study.

Subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) are two clinical groups with an increased risk to develop dementia, but they are highly heterogeneous. This study compared three different approaches to subgroup SCI and MCI patients and investigated their capacity to disentangle cognitive and biomarker heterogeneity. We included 792 patients from the MemClin-cohort (142 SCI and 650 MCI). Biomarkers included cerebrospinal fluid measures of beta-amyloid-42 and phosphorylated tau, as well as visual ratings of medial temporal lobe atrophy and white matter hyperintensities on magnetic resonance imaging. We found that a more inclusive approach identified individuals with a positive beta-amyloid-42 biomarker; a less inclusive approach captured individuals with higher medial temporal lobe atrophy; and a data-driven approach captured individuals with high white matter hyperintensities burden. The three approaches also captured some neuropsychological differences. We conclude that choice of approach may differ depending on the purpose. This study helps to advance our current understanding of the clinical and biological heterogeneity within SCI and MCI, particularly in the unselected memory clinic setting.

Organizational and patient-level predictors for attaining key risk factor targets in cardiac rehabilitation after myocardial infarction: The Perfect-CR study.

BACKGROUND: Benefits of cardiac rehabilitation (CR) programme components on attaining risk factor targets post-myocardial infarction (MI) and their predictive strength relative to patient characteristics remain unclear. We aimed to identify organizational and patient-level predictors of risk factor target attainment at one-year post-MI. METHODS: In this observational study data on CR organization at 78 Swedish CR centres was collected and merged with patient-level registry data (n = 7549). Orthogonal partial least squares discriminant analysis identified predictors (Variables of Importance for the Projection (VIP) values >0.8) of attaining low-density lipoprotein-cholesterol (LDL-C) <1.8 mmol/L, blood pressure (BP) <140/90 mmHg and smoking abstinence. RESULTS: The strongest predictors (VIP [95% CI]) for attaining LDL-C and BP targets were offering psychosocial management (2.14 [1.78-2.50]; 2.45 [1.91-2.99]), having a psychologist in the CR team (1.62 [1.36-1.87]; 2.05 [1.67-2.44]), extended opening hours (2.13 [2.00-2.27]; 1.50 [0.91-2.10]), adequate facilities (1.54 [0.91-2.18]; 1.89 [1.38-2.40]), and having a medical director (1.70 [0.91-2.48]; 1.46 [1.04-1.88]). The strongest patient-level predictors of attaining LDL-C and/or BP targets were low baseline LDL-C (3.95 [3.39-4.51]) and having no history of hypertension (2.93 [2.60-3.26]), respectively, followed by exercise-based CR participation (1.38 [0.66-2.10]; 1.46 [1.14-1.78]). For smoking abstinence, the strongest organizational predictor was varenicline being prescribed by CR physicians (1.88 [0.95-2.80]) and patient-level predictors were participation in exercise-based CR (2.47 [2.07-2.88]) and group education (1.92 [1.43-2-42]), and no cardiovascular disease history (2.13 [1.78-2.48]). CONCLUSIONS: We identified multiple CR organizational and patient-level predictors of attaining risk factor targets post-MI. These results may influence the future design of comprehensive CR programmes.

Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH).

PURPOSE: Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data. PARTICIPANTS: MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029. FINDINGS TO DATE: Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase. FUTURE PLANS: The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.

Association between ß-blocker dose and quality of life after myocardial infarction: a real-world Swedish register-linked study.

BACKGROUND: ß-blockers are routinely administered to patients following myocardial infarction (MI), yet their potential effect on health-related quality of life (HRQoL) is not entirely understood. We investigated the relationship between two different doses of ß-blockers with HRQoL following MI. METHODS AND RESULTS: This nationwide observational study used Swedish national registries to collate sociodemographic, clinical, medication, and HRQoL {the latter operationalized using EuroQol [European Quality of Life Five Dimensions Questionnaire (EQ-5D)]}. Estimates at 6-10 weeks and 12-14 months post-MI follow-up from pooled linear and logistic models were calculated after multiple imputation. We identified 35 612 patients with first-time MI, discharged with ß-blockers, and enrolled in cardiac rehabilitation between 2006 and 2015. Upon discharge, patients were either dispensed <50% [24 082 (67.6%)] or ≥50% [11 530 (32.4%)] of the target dosage, as defined in previous trials. After adjusting for pre-defined covariates, neither the EQ-5D Index nor the Emotional Distress items were statistically different between groups. The EQ-VAS score was significantly lower in patients treated with ≥50% target ß-blocker dose than those treated with <50% of the target dose [-0.87 [-1.23, -0.46], P < .001]. Results were similar at the 12-month follow-up and across sub-groups separated by sex and age. CONCLUSION: No difference in HRQoL was found among patients taking <50% vs. ≥50% of the target ß-blocker dose, except for the EQ-VAS in which higher scores were reported in those taking a lower dose. The clinical meaningfulness of this statistical significance is likely low.

Improving smoking cessation after myocardial infarction by systematically implementing evidence-based treatment methods.

We compared the odds of smoking cessation at 2-months post-myocardial infarction (MI), before and after implementing routines optimizing use of evidence-based smoking cessation methods, with start during admission. The following routines were implemented at six Swedish hospitals: cardiac rehabilitation nurses offering smokers consultation during admission, optimizing nicotine replacement therapy and varenicline prescription, and contacting patients by telephone during the 1st week post-discharge. Using logistic regression, odds for smoking cessation at 2-months before (n smokers/n admitted = 188/601) and after (n = 195/632) routine implementation were compared. Secondary outcomes included adherence to implemented routines and assessing the prognostic value of each routine on smoking cessation. After implementation, a larger proportion of smokers (65% vs. 54%) were abstinent at 2-months (OR 1.60 [1.04-2.48]). Including only those counselled during admission (n = 98), 74% were abstinent (2.50 [1.42-4.41]). After implementation, patients were more often counselled during admission (50% vs. 6%, p < 0.001), prescribed varenicline (23% vs. 7%, p < 0.001), and contacted by telephone post-discharge (18% vs. 2%, p < 0.001). Being contacted by telephone post-discharge (adjusted OR 2.74 [1.02-7.35]) and prescribed varenicline (adjusted OR 0.39 [0.19-0.83]) predicted smoking cessation at 2-months. In conclusion, readily available methods for aiding smoking cessation can be implemented effectively in routine practice, with beneficial effects for post-MI patients.

Self-perceived cognitive status and cognitive challenges associated with cardiac rehabilitation management: experiences of elderly myocardial infarction patients.

PURPOSE: The study aimed to explore the self-perceived cognitive status and cognitive challenges associated with lifestyle changes in cardiac rehabilitation among elderly myocardial infarction (MI) patients (≥65 years). Further, the study explored coping strategies developed to manage these challenges in the everyday life. METHODS: Nine patients were included in the study. Data were collected by telephone or in person, between 6 and 12 weeks post MI, using semi-structured interviews. Data were analysed inductively, using thematic analysis. RESULTS: Four major themes were identified, highlighting elderly MI patients' experiences of their cognitive status and cardiac rehabilitation management: (1) A change in cognition over time, (2) Situating the MI within a challenging and changing life context, (3) Navigating the hurdles of cardiac rehabilitation, and (4) Being seen within the healthcare system. CONCLUSION: Elderly MI patients are situated in a complex life context, dealing with a transition to retirement, multiple health issues and age-related cognitive decline. In this context, the MI experience is marginalised, and cognitive decline normalized. By adopting individually tailored interventions and improving healthcare provider continuity and accessibility, cognitive challenges associated with cardiac rehabilitation could be easier to overcome.IMPLICATIONS FOR REHABILITATIONSelf-perceived cognitive impairment, in particular regarding memory, seems fairly common among elderly MI patients and should likely be identified prior to hospital discharge in order to optimize the prospects of self-care.There seems to exist an unmet need to implement the practice of individually adapted education and information further, in accordance with current recommendations for elderly cardiac patients.The overall health and cognitive status, social network and the objective living conditions (e.g., distance from service and housing) should be taken into account when planning the patient's cardiac rehabilitation management.Healthcare providers likely need to strengthen the continuity of care and increase its accessibility for elderly MI patients, in particular following the transfer from hospital care to local health centres.