Understanding priorities and needs for child and adolescent mental health in Greece from multiple informants: an open resource dataset.

The Child and Adolescent Mental Health Initiative (CAMHI) aims to enhance mental health care capacity for children and adolescents across Greece. Considering the need for evidence-based policy, the program developed an open-resource dataset for researching the field within the country. A comprehensive, mixed-method, community-based research was conducted in 2022/2023 assessing the current state, needs, barriers, and opportunities according to multiple viewpoints. We surveyed geographically distributed samples of 1,756 caregivers, 1,201 children/adolescents, 404 schoolteachers, and 475 health professionals using validated instruments to assess mental health symptoms, mental health needs, literacy and stigma, service use and access, professional practices, training background, and training needs and preferences. Fourteen focus groups were conducted with informants from diverse populations (including underrepresented minorities) to reach an in-depth understanding of those topics. A dataset with quantitative and qualitative findings is now available for researchers, policymakers, and society [ https://osf.io/crz6h/ and https://rpubs.com/camhi/sdashboard ]. This resource offers valuable data for assessing the needs and priorities for child and adolescent mental health care in Greece. It is now freely available to consult, and is expected to inform upcoming research and evidence-based professional training. This initiative may inspire similar ones in other countries, informing methodological strategies for researching mental health needs.

Translation and cross-cultural adaptation of seventeen widely-used assessment instruments for child and adolescent mental health in Greece.

BACKGROUND: In the context of Greece, many instruments measuring constructs pertinent to child and adolescent mental health lacked a locally-validated, freely-available version. As part of a nationwide survey, we translated and cross-culturally adapted a collection of seventeen brief, largely-employed assessment tools that can be used at scale. METHODS: This study is part of the Child and Adolescent Mental Health Initiative in Greece (CAMHI), a capacity-building program focusing on enhancing mental health care for children and adolescents living in Greece. We conducted a nationwide survey assessing mental health symptoms, parenting practices, service availability and quality, mental health literacy and stigma, and professional practices within the country. As part of this process, we selected outcomes and instruments after consulting the International Consortium for Health Outcomes Measurement (ICHOM) and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). From our selection, we identified 17 instruments that did not have a Greek-validated version available for use. These instruments were translated and cross-culturally adapted following a structured procedure, including independent back-and-forth translations, synthesis of versions, expert revision, and pilot testing. Some instruments were slightly modified to meet CAMHI survey purposes. RESULTS: A cross-culturally adapted version in Greek was made available for the following instruments: Pediatric Symptoms Checklist (PSC); Deliberate Self Harm Inventory (DSH) (modified); Child and Adolescent Trauma Screen-2 (CATS-2); ABCD Screen Use (modified); Swanson, Nolan, and Pelham-IV (SNAP-IV); Parent Behavior Inventory (PBI); Mental Health Literacy Scale (MHLS)-(modified); Australian Mental Health Vignettes; Reported and Intended Behavior Scale (RIBS); Barriers to Access to Care (BACE) (modified); Experience of Service Questionnaire (ESQ) (modified); and Multitheoretical List of Therapeutic Interventions (MULTI-30) (modified). CONCLUSION: A collection of these widely-used assessment tools is now adapted for the local context and freely accessible at [ https://osf.io/crz6h/ ]. Researchers and health professionals in Greece can utilize this resource to screen, evaluate, and monitor various constructs related to mental health in accordance with the most effective practices.

Impact of long-acting injectable antipsychotics vs. oral medication on relapses of patients with psychosis and bipolar disorder.

Relapse associated with multiple hospital readmissions of patients with chronic and severe mental disorders, such as psychosis and bipolar disorder, is frequently associated with non-adherence to treatment. The primary aim of the study was to compare the effectiveness of long-acting injectable (LAI) treatment, vs. oral medication in reducing readmissions of patients with psychotic or bipolar disorder in a community sample of 164 patients with psychosis and 29 patients with bipolar disorder (n = 193), with poor adherence to oral medication. The mean follow up period was 5.6 years and the number of readmissions were compared for an equal-length period of oral treatment preceding the onset of LAI administration. We observed a significant decrease of 45.2 % in total hospital readmissions after receiving LAIs treatment. The effect was significant both for patients with a pre-LAI treatment history of predominantly voluntary hospitalizations and with predominantly involuntary admissions. In addition, we observed equal effectiveness of first- vs. second-generation LAIs in reducing total hospital readmissions regardless of type of pre-treatment admission history (voluntary vs. involuntary). LAIs appear to be effective in reducing both voluntary and involuntary hospital readmissions in patients with psychosis and bipolar disorder with a history of poor adherence to treatment.

Long-term associations between objective sleep quality and quantity and verbal memory performance in normal cognition and mild cognitive impairment.

Introduction: Although the link between sleep and memory function is well established, associations between sleep macrostructure and memory function in normal cognition and Mild Cognitive Impairment remain unclear. We aimed to investigate the longitudinal associations of baseline objectively assessed sleep quality and duration, as well as time in bed, with verbal memory capacity over a 7-9 year period. Participants are a well-characterized subsample of 148 persons (mean age at baseline: 72.8 ± 6.7 years) from the Cretan Aging Cohort. Based on comprehensive neuropsychiatric and neuropsychological evaluation at baseline, participants were diagnosed with Mild Cognitive Impairment (MCI; n = 79) or found to be cognitively unimpaired (CNI; n = 69). Sleep quality/quantity was estimated from a 3-day consecutive actigraphy recording, whereas verbal memory capacity was examined using the Rey Auditory Verbal Learning Test (RAVLT) and the Greek Passage Memory Test at baseline and follow-up. Panel models were applied to the data using AMOS including several sociodemographic and clinical covariates. Results: Sleep efficiency at baseline directly predicted subsequent memory performance in the total group (immediate passage recall: ß = 0.266, p = 0.001; immediate word list recall: ß = 0.172, p = 0.01; delayed passage retrieval: ß = 0.214, p = 0.002) with the effects in Passage Memory reaching significance in both clinical groups. Wake after sleep onset time directly predicted follow-up immediate passage recall in the total sample (ß = -0.211, p = 0.001) and in the MCI group (ß = -0.235, p = 0.02). In the total sample, longer 24-h sleep duration was associated with reduced memory performance indirectly through increased sleep duration at follow-up (immediate passage recall: ß = -0.045, p = 0.01; passage retention index: ß = -0.051, p = 0.01; RAVLT-delayed recall: ß = -0.048, p = 0.009; RAVLT-retention index:ß = -0.066, p = 0.004). Similar indirect effects were found for baseline 24-h time in bed. Indirect effects of sleep duration/time in bed were found predominantly in the MCI group. Discussion: Findings corroborate and expand previous work suggesting that poor sleep quality and long sleep duration predict worse memory function in elderly. Timely interventions to improve sleep could help prevent or delay age-related memory decline among non-demented elderly.

Associations between Combined Psychological and Lifestyle Factors with Pain Intensity and/or Disability in Patients with Chronic Low Back Pain: A Cross-Sectional Study.

Chronic low back pain (CLBP) is common in primary care, causing disability and economic burden globally. We aimed to compare socio-demographic, health, lifestyle, and psychological factors in people with and without CLBP and correlate them with clinical outcomes in people with CLBP. A total of 253 volunteers with and 116 without CLBP provided sociodemographic information, daily habits, medical history, subjective sleep complaints (Penn State Sleep Questionnaire), low back pain intensity, and disability (Quebec Back Pain Disability Scale), as well as the Zung Self-Rating Scale for self-assessment of depression and Self-Rating Anxiety Scale. CLBP diagnosis was linked with female gender and older age, as well as a higher level of sleep complaints such as sleepiness, OSA and insomnia symptoms, and a higher prevalence of moderate to severe depressive symptoms. The combination of moderate to severe depressive symptoms with obstructive sleep apnea or insomnia symptoms was the most important predictive factor for functional disability in CBLP patients (OR 13.686, 95% CI 4.581-40.885; p < 0.001). In conclusion, depressive symptoms and subjective sleep complaints appear to relate to greater CLBP intensity and/or CLBP-related disability in people with CLBP. A holistic approach is crucial for treating chronic CLBP patients, including psychological and sleep issue assessment and management, to improve their quality of life.

Family Functioning, Illness-Related Self-Regulation Processes, and Clinical Outcomes in Major Depression: A Prospective Study in Greece.

Major depressive disorder (MDD) is a common, seriously impairing, and often recurrent mental disorder. Based on the predictions of the Circumplex Model of Marital and Family Systems and the Common-Sense Self-Regulation Model, the aim of the present prospective study is to examine the predictive value of clinical outcomes of a process model in which associations between perceived family functioning and patient's clinical outcomes (i.e., symptom severity and suicide risk) are mediated by illness representations and coping strategies. A total of 113 patients with a clinical diagnosis of MDD (16.8% males and 83.2% females) aged 47.25 ± 13.98 years and recruited from the outpatient department and the mobile mental health unit of the Psychiatric Clinic of the University Hospital of Heraklion in Crete, Greece, and from a Greek online depression peer-support group participated in the study. Family functioning was assessed in terms of cohesion and flexibility (Family Adaptability and Cohesion Evaluation Scales IV) at baseline. Illness representations (Illness Perception Questionnaire-Mental Health) and coping strategies (Brief Cope Orientation to Problems Experienced) were measured about five months later (5.04 ± 1.16 months). Symptom severity (Beck Depression Inventory) and suicidality (Risk Assessment Suicidality Scale) were measured about 10 months after the baseline assessment (9.56 ± 2.52 months). The results indicated that representations about MDD impact and symptom severity serially mediated the association between family cohesion and suicide risk in MDD. Furthermore, family cohesion was found to be linked with maladaptive coping through MDD impact representations. Family-based psychotherapeutic interventions specifically designed to target unhealthy family functioning, along with negative illness perceptions and dysfunctional coping, could be further developed and explored as adjunctive therapy to standard treatment in MDD.

The impact of COVID-19 pandemic on elderly with neurocognitive disorders.

Since the COVID-19 pandemic outburst, numerous studies have reported on the holistic approach of the disease, which has negative consequences on physical and mental health as well as short- and long-term effects on cognition, independently of age. The context of the pandemic brought significant demands on public health systems, leading to restrictive measures against coronavirus expansion (quarantines, physical distancing policies, etc.). Such measures are reported to increase perceived loneliness and helplessness and may exacerbate feelings of emotional distress.1 Elderly diagnosed with neurocognitive disorders, i.e., mild cognitive impairment (MCI) or dementia, may present multifaceted cognitive deficits accompanied by neuropsychiatric symptoms, medical comorbidities, and high mortality rates. Furthermore, elderly with MCI/dementia are more vulnerable to SARS-COV-2 infection and disease complications due to decreased compliance with protective measures and multimorbidity. Simultaneously, limited access to health care services, distancing from their loved ones, abrupt changes in their daily routines or cancellation of daycare programs may make them more susceptible to pandemic secondary effects. According to the World Health Organization about 55 million people live with dementia globally. Dementia diagnosis was reported as an independent risk factor for increased mortality rate among the elderly infected with SARS-COV-2.2 Cross-sectional studies conducted all over Europe reported increased cognitive deterioration rate in patients with MCI and dementia during lockdown compared to the pre-lockdown period, as well as among dementia patients infected with COVID-19 compared to those not infected.3 Exacerbation of pre-existing sleep/appetite dysregulation and aberrant motor behavior, worsened symptoms of apathy, depression, and agitation, a rise in delirium episodes and disease-related falls and onset of behavioral symptoms during quarantine occurred.4 Also, patients living alone expressed excessive worrying and an overall decline in well-being. However, results from a large cohort study conducted in England failed to distinguish COVID-19 effects on dementia patients' psychological state between 2018 and 2020, possibly due to the small number of dementia patients recruited and disease severity.5 Among the Greek elderly, dementia prevalence rates range between 5-10.8% and 32.4% for MCI incidence.6,7 Only a few studies have investigated the impact of COVID-19 quarantine on mental and psychological health of the Greek elderly diagnosed with cognitive disorders. A longitudinal study was conducted between 2018 and 2020 including a rather large number of elderly people with MCI or Alzheimer's disease (AD). The authors compared the objectively assessed deterioration difference pre- and during the quarantine in terms of cognition, behavior and function level. They concluded that no significant quarantine-related changes were detected in cognition between the three time points, although the possibility that behavioral and psychological deterioration indirectly affected cognitive and functional decline among AD patients cannot be excluded.8 In a cross-sectional study conducted during the first quarantine period (i.e., February to May 2020), critical aspects of everyday life (mood, physical health, communication) as well as compliance with confinement policies were examined based on subjective information provided by caregivers of elderly with MCI or dementia. Based on their findings, the authors report that MCI and dementia patients exhibited a significant overall decline, whereas those with dementia were more likely to deteriorate in terms of neuropsychiatric symptoms (apathy, mood changes, psychomotor anxiety), excessive worrying, and limited compliance with measures against COVID-19 expansion.9 In an effort to minimize possible deleterious effects of the pandemic-related quarantine on the elderly with neurocognitive disorders, telemedicine was implemented instead. Neuropsychological online testing, systematic monitoring of clinical outcome (compliance with pharmacotherapy) and motivational interventions such as physical activity programs were accommodated using user-friendly applications and telephone consultations.10 Nevertheless, limited access to and familiarization with technology, severity of cognitive deficits, and demographic factors (i.e., low educational and socioeconomic status), may have limited positive outcomes in the current population. In conclusion, the combined effect of neurocognitive disorders and the pandemic exceeds the healthcare system's demands, posing in some cases insurmountable challenges. To minimize the negative effect of future similar conditions, focus should be given on the following directions: Patient-oriented, holistic protocols for systematic monitoring of clinical course, future cognitive decline, and timely psychiatric/neuropsychological interventions when necessary. Specialized training for caregivers' and nursing staff focusing on the inclusion of self-hygiene measures in patients' daily routine. Patients' familiarization with online tools both for cognitive enhancement programs and for diagnostic/ monitoring purposes.

The science of child and adolescent mental health in Greece: a nationwide systematic review.

Evidence-based information is essential for effective mental health care, yet the extent and accessibility of the scientific literature are critical barriers for professionals and policymakers. To map the necessities and make validated resources accessible, we undertook a systematic review of scientific evidence on child and adolescent mental health in Greece encompassing three research topics: prevalence estimates, assessment instruments, and interventions. We searched Pubmed, Web of Science, PsycINFO, Google Scholar, and IATPOTEK from inception to December 16th, 2021. We included studies assessing the prevalence of conditions, reporting data on assessment tools, and experimental interventions. For each area, manuals informed data extraction and the methodological quality were ascertained using validated tools. This review was registered in protocols.io [68583]. We included 104 studies reporting 533 prevalence estimates, 223 studies informing data on 261 assessment instruments, and 34 intervention studies. We report the prevalence of conditions according to regions within the country. A repository of locally validated instruments and their psychometrics was compiled. An overview of interventions provided data on their effectiveness. The outcomes are made available in an interactive resource online [ https://rpubs.com/camhi/sysrev_table ]. Scientific evidence on child and adolescent mental health in Greece has now been cataloged and appraised. This timely and accessible compendium of up-to-date evidence offers valuable resources for clinical practice and policymaking in Greece and may encourage similar assessments in other countries.

IL-6 Enhances the Negative Impact of Cortisol on Cognition among Community-Dwelling Older People without Dementia.

There is growing evidence that high basal cortisol levels and systemic inflammation independently contribute to cognitive decline among older people without dementia. The present cross-sectional study examined (a) the potential synergistic effect of cortisol levels and systemic inflammation on executive function and (b) whether this effect is more prominent among older people with mild cognitive impairment (MCI). A sub-sample of 99 patients with MCI and 84 older people without cognitive impairment (CNI) (aged 73.8 ± 7.0 years) were recruited from a large population-based cohort in Crete, Greece, and underwent comprehensive neuropsychiatric and neuropsychological evaluation and a single morning measurement of cortisol and IL-6 plasma levels. Using moderated regression models, we found that the relation between cortisol and executive function in the total sample was moderated by IL-6 levels (b = -0.994, p = 0.044) and diagnostic group separately (b = -0.632, p < 0.001). Moreover, the interaction between cortisol and IL-6 levels was significant only among persons with MCI (b = -0.562, p < 0.001). The synergistic effect of stress hormones and systemic inflammation on cognitive status appears to be stronger among older people who already display signs of cognitive decline. Targeting hypercortisolemia and inflammation may be a promising strategy toward improving the course of cognitive decline.

Driving Behaviour in Depression Based on Subjective Evaluation and Data from a Driving Simulator.

Road traffic collisions are a major issue for public health. Depression is characterized by mental, emotional and executive dysfunction, which may have an impact on driving behaviour. Patients with depression (N = 39) and healthy controls (N = 30) were asked to complete questionnaires and to drive on a driving simulator in different scenarios. Driving simulator data included speed, safety distance from the preceding vehicle and lateral position. Demographic and medical information, insomnia (Athens Insomnia Scale, AIS), sleepiness (Epworth Sleepiness Scale, ESS), fatigue (Fatigue Severity Scale, FSS), symptoms of sleep apnoea (StopBang Questionnaire) and driving (Driver Stress Inventory, DSI and Driver Behaviour Questionnaire, DBQ) were assessed. Gender and age influenced almost all variables. The group of patients with depression did not differ from controls regarding driving behaviour as assessed through questionnaires; on the driving simulator, patients kept a longer safety distance. Subjective fatigue was positively associated with aggression, dislike of driving, hazard monitoring and violations as assessed by questionnaires. ESS and AIS scores were positively associated with keeping a longer safety distance and with Lateral Position Standard Deviation (LPSD), denoting lower ability to keep a stable position. It seems that, although certain symptoms of depression (insomnia, fatigue and somnolence) may affect driving performance, patients drive more carefully eliminating, thus, their impact.

Cretan Aging Cohort-Phase III: Methodology and Descriptive Characteristics of a Long-Term Longitudinal Study on Predictors of Cognitive Decline in Non-Demented Elderly from Crete, Greece.

Identifying modifiable factors that may predict long-term cognitive decline in the elderly with adequate daily functionality is critical. Such factors may include poor sleep quality and quantity, sleep-related breathing disorders, inflammatory cytokines and stress hormones, as well as mental health problems. This work reports the methodology and descriptive characteristics of a long-term, multidisciplinary study on modifiable risk factors for cognitive status progression, focusing on the 7-year follow-up. Participants were recruited from a large community-dwelling cohort residing in Crete, Greece (CAC; Cretan Aging Cohort). Baseline assessments were conducted in 2013-2014 (Phase I and II, circa 6-month time interval) and follow-up in 2020-2022 (Phase III). In total, 151 individuals completed the Phase III evaluation. Of those, 71 were cognitively non-impaired (CNI group) in Phase II and 80 had been diagnosed with mild cognitive impairment (MCI). In addition to sociodemographic, lifestyle, medical, neuropsychological, and neuropsychiatric data, objective sleep was assessed based on actigraphy (Phase II and III) and home polysomnography (Phase III), while inflammation markers and stress hormones were measured in both phases. Despite the homogeneity of the sample in most sociodemographic indices, MCI persons were significantly older (mean age = 75.03 years, SD = 6.34) and genetically predisposed for cognitive deterioration (APOE ε4 allele carriership). Also, at follow-up, we detected a significant increase in self-reported anxiety symptoms along with a substantial rise in psychotropic medication use and incidence of major medical morbidities. The longitudinal design of the CAC study may provide significant data on possible modifiable factors in the course of cognitive progression in the community-dwelling elderly.

The Association of Adherence to the Mediterranean Diet with Depression in Older Adults Longitudinally Taking into Account Cognitive Status: Results from the HELIAD Study.

Although research has generally shown a negative association between depression and adherence to the Mediterranean diet (MeDi), the literature related to older adults is controversial, perhaps partially due to the fact that cognitive status has not been considered. The aim of the current work was to investigate the association between MeDi and incident depression in a representative cohort of people, taking into account their cognitive status in multiple ways. The sample was drawn from the HELIAD study, a longitudinal study including a follow-up of 3 years after the baseline assessment. In total, 879 participants without depression at baseline were included (55.4% women, mean age ± Standard Deviation: 73.3 ± 5.0 years). Depression was determined as a score in the Geriatric depression scale ≥6 and/or antidepressant medication and/or clinical diagnosis of depression. Cox proportional hazard models adjusted for age, sex and education were employed. In the basic model, adherence to the MeDi was negatively associated with depression. In the most conservative model, excluding participants with dementia and Mild Cognitive Impairment, and after controlling for the baseline Cognitive Status, each unit (range 0−55) increase in MeDi was associated with a 6.2% decrease in the risk for depression (p < 0.001). These findings indicate that MeDi is negatively associated with depression longitudinally in older adults, above and beyond cognitive status.

Personalized screening and risk profiles for Mild Cognitive Impairment via a Machine Learning Framework: Implications for general practice.

OBJECTIVES: Diagnosis of Mild Cognitive Impairment (MCI) requires lengthy diagnostic procedures, typically available at tertiary Health Care Centers (HCC). This prospective study evaluated a flexible Machine Learning (ML) framework toward identifying persons with MCI or dementia based on information that can be readily available in a primary HC setting. METHODS: Demographic and clinical data, informant ratings of recent behavioral changes, self-reported anxiety and depression symptoms, subjective cognitive complaints, and Mini Mental State Examination (MMSE) scores were pooled from two aging cohorts from the island of Crete, Greece (N = 763 aged 60-93 years) comprising persons diagnosed with MCI (n = 277) or dementia (n = 153), and cognitively non-impaired persons (CNI, n = 333). A Balanced Random Forest Classifier was used for classification and variable importance-based feature selection in nested cross-validation schemes (CNI vs MCI, CNI vs Dementia, MCI vs Dementia). Global-level model-agnostic analyses identified predictors displaying nonlinear behavior. Local level agnostic analyses pinpointed key predictor variables for a given classification result after statistically controlling for all other predictors in the model. RESULTS: Classification of MCI vs CNI was achieved with improved sensitivity (74 %) and comparable specificity (73 %) compared to MMSE alone (37.2 % and 94.3 %, respectively). Additional high-ranking features included age, education, behavioral changes, multicomorbidity and polypharmacy. Higher classification accuracy was achieved for MCI vs Dementia (sensitivity/specificity = 87 %) and CNI vs Dementia (sensitivity/specificity = 94 %) using the same set of variables. Model agnostic analyses revealed notable individual variability in the contribution of specific variables toward a given classification result. CONCLUSIONS: Improved capacity to identify elderly with MCI can be achieved by combining demographic and medical information readily available at the PHC setting with MMSE scores, and informant ratings of behavioral changes. Explainability at the patient level may help clinicians identify specific predictor variables and patient scores to a given prediction outcome toward personalized risk assessment.

Brief Solution Focused Therapy on schizophrenia: A preliminary study of family characteristics and psychopathology.

Family therapy for schizophrenia has been demonstrated to be effective and is recommended by international clinical guidelines. Reviews of family therapy research conclude that interventions may prevent relapse of the disease, when symptoms are already reduced under psychotropic medication, by reducing family factors associated with relapse. The purpose of this study was to examine the effectiveness of Brief Solution Focused therapy (BSFT) in patients with schizophrenia focusing on the impact of change in family characteristics such as cohesion, conflict, organization and control on patients' psychopathology measured with BPRS. Thirty patients diagnosed with schizophrenia were randomly assigned to the control or intervention group. The intervention group received treatment according to the BSFT model, whereas the control group received the standard care for schizophrenia. The BSFT is a future-oriented psychotherapy model which encourages clients to focus on ''change-talking'' instead of ''problem-talking'' and on instances where a successful solution has been achieved. The intervention was consisted of 5 sessions delivered in 3 months. Main outcomes were patient-rated family characteristics measured by the Family Environment Scale (FES), and psychiatrist-rated symptom severity measured with the Brief Psychiatric Rating Scale (BPRS). The two groups did not differ in terms of age, sex, number of relapses, previous hospital admissions, and BPRS score at baseline. At the end of treatment compared to baseline there was a reduction of the BPRS score in the intervention group (p<0.001) whereas no statistically significant changes were noticed in the control group after 3 months. Also, following treatment, patients in the intervention group displayed reduced scores on the Conflict FES scale (p=0.001) accompanied by increased scores on the Cohesion (p=0.004), Expressiveness (p=0.004), and Active Recreational subscales (p=0.001) according to patient's perspective. These preliminary findings suggest that BSFT in patients with schizophrenia, appears to be effective in altering the global properties of the whole family system, specifically cohesion, conflict, organization and control which, in turn, have an impact on reducing patient psychopathology.

Demographic and clinical predictors of post-operative atrial fibrillation in cardio-surgical patients.

AIMS: Post-operative atrial fibrillation is defined as an episode of atrial fibrillation that occurs 1-5 days after a surgical procedure in patients without a previous history of atrial fibrillation. Multiple factors such as demographics, cardiac surgical, endogenous, or mental health may relate to post-operative atrial fibrillation.The aim of this study was to identify multivariable high-risk factors for post-operative atrial fibrillation and to propose a risk-assessment tool. METHODS AND RESULTS: A cross-sectional observational study was conducted in a University Hospital of Greece. Predictor variables examined demographic and clinical variables, anxiety, depression, health-related quality of life, frailty, perioperative mortality (European System for Cardiac Operative Risk Evaluation II), and 10-year survival/mortality risk (Charlson Comorbidity Index score). The outcome variable was post-operative atrial fibrillation. Multivariable analysis was assessed to identify predictors of post-operative atrial fibrillation.Ninety-one patients were included in our sample. Post-operative atrial fibrillation was diagnosed in 44 (48.4%). Factors associated with post-operative atrial fibrillation are the following: age group of 66-75 years [OR 5.78, 95% confidence interval (CI) 1.37-24.34], Charlson Comorbidity Index score (OR 1.42, 95% CI 1.07-1.89), and hours of mechanical ventilation (OR 1.03, 95% CI 1.00-1.06). The Charlson Comorbidity Index score was identified as an independent predictor of post-operative atrial fibrillation (exp: 1.412, 95% CI: 1.017-1.961). CONCLUSION: Patients with post-operative atrial fibrillation had a higher Charlson Comorbidity Index score. The Charlson Comorbidity Index was identified as an independent clinical predictor of post-operative atrial fibrillation. The risk-assessment tool proposed includes age, Charlson Comorbidity Index score, and hours of mechanical ventilation. Future studies are needed to establish such an assessment.

Study of Alzheimer's disease- and frontotemporal dementia-associated genes in the Cretan Aging Cohort.

Using exome sequencing, we analyzed 196 participants of the Cretan Aging Cohort (CAC; 95 with Alzheimer's disease [AD], 20 with mild cognitive impairment [MCI], and 81 cognitively normal controls). The APOE ε4 allele was more common in AD patients (23.2%) than in controls (7.4%; p < 0.01) and the PSEN2 p.Arg29His and p.Cys391Arg variants were found in 3 AD and 1 MCI patient, respectively. Also, we found the frontotemporal dementia (FTD)-associated TARDBP gene p.Ile383Val variant in 2 elderly patients diagnosed with AD and in 2 patients, non CAC members, with the amyotrophic lateral sclerosis/FTD phenotype. Furthermore, the p.Ser498Ala variant in the positively selected GLUD2 gene was less frequent in AD patients (2.11%) than in controls (16%; p < 0.01), suggesting a possible protective effect. While the same trend was found in another local replication cohort (n = 406) and in section of the ADNI cohort (n = 808), this finding did not reach statistical significance and therefore it should be considered preliminary. Our results attest to the value of genetic testing to study aged adults with AD phenotype.

[Lymphocyte-to-C-reactive protein ratio in COVID-19: an unexplored tool]. / índice linfocito proteína C reactiva en COVID-19: una herramienta poco explorada.

BACKGROUND: COVID-19 develops severe inflammatory responses that can lead to death. It is essential in a pandemic to have accessible instruments to estimate the prognosis of the disease. The lymphocyte-to-C-reactive protein ratio (LCR) is a predictive biomarker studied in oncology, which could have some advantages in COVID-19 patients in the early stages of the disease. Our objective was to estimate the risk of LCR < 100 and mortality in hospitalized patients with COVID-19. METHODS: hospitalized patients with COVID-19 seen between March to October 2020 were included. The patients were grouped according to LCR < 100 and LCR > 100. A Cox regression model was performed to estimate the association between LCR < 100 and mortality. RESULTS: we included 730 patients with COVID-19. The mean age at diagnosis was 49.9 years (SD 16.8) and 401 (55%) were men. Cox regression model showed an association between LCR <100 and mortality (HR 6.2; 95% CI 1.6 to 23.5; p 0.008), adjusting by age. severe pneumonia, intensive care requirements, and comorbidities. CONCLUSION: LPCR <100 in the initial assessment of hospitalized patients with COVID-19 suggests a higher risk of mortality.

Introducción: El COVID-19 genera respuestas inflamatorias graves que pueden terminar en la muerte. En pandemia resulta fundamental tener instrumentos de f ácil acceso que estimen su evolución. El índice linfocito proteína C reactiva (LPCR) es un marcador pronóstico estudiado en patología oncológica que podría mostrar ventajas en la etapa precoz de la enfermedad por COVID-19. Objetivo: estimar los niveles de LPCR < 100 y su riesgo de mortalidad en pacientes internados con COVID-19. Métodos: Se incluyeron pacientes con COVID 19 que ingresaron a la sala de internación general desde marzo hasta octubre de 2020. Se realizó un modelo de regresión de Cox para estimar la relación entre el LPCR < 100 y mortalidad. Resultados: Se incluyeron 730 pacientes. La edad media de presentación fue 49.9 años (DE 16.8) y 401 (55%) fueron hombres. La mediana de días de internación fue 8 (RIC 6). El modelo de regresión de Cox evidenció asociación entre LPCR <100 y mortalidad (HR 6.2; IC95% 1.6 a 23.5; p 0.008) ajustado por edad, neumonía grave, pases a terapia intensiva, hipertensión arterial, y comorbilidades. Discusión: El LPCR <100 en la evaluación inicial de los pacientes que se internan con COVID-19 podría sugerir mayor riesgo de mortalidad.

Índice linfocito proteína c reactiva en COVID-19: una herramienta poco explorada / Lymphocyte-to-C-reactive protein ratio in COVID-19: an unexplored tool

Resumen Introducción: El COVID-19 genera respuestas inflamatorias graves que pueden terminar en la muerte. En pandemia resulta fundamental tener instrumentos de fácil acceso que estimen su evolu ción. El índice linfocito proteína C reactiva (LPCR) es un marcador pronóstico estudiado en patología oncológica que podría mostrar ventajas en la etapa precoz de la enfermedad por COVID-19. Objetivo: estimar los niveles de LPCR < 100 y su riesgo de mortalidad en pacientes internados con COVID-19. Métodos: Se incluyeron pacientes con COVID 19 que ingresaron a la sala de internación general desde marzo hasta octubre de 2020. Se realizó un modelo de regresión de Cox para estimar la relación entre el LPCR < 100 y mortalidad. Resulta dos: Se incluyeron 730 pacientes. La edad media de presentación fue 49.9 años (DE 16.8) y 401 (55%) fueron hombres. La mediana de días de internación fue 8 (RIC 6). El modelo de regresión de Cox evidenció asociación entre LPCR <100 y mortalidad (HR 6.2; IC95% 1.6 a 23.5; p 0.008) ajustado por edad, neumonía grave, pases a terapia intensiva, hipertensión arterial, y comorbilidades. Discusión: El LPCR <100 en la evaluación inicial de los pacientes que se internan con COVID-19 podría sugerir mayor riesgo de mortalidad.

Abstract Background: COVID-19 develops severe inflammatory responses that can lead to death. It is es sential in a pandemic to have accessible instruments to estimate the prognosis of the disease. The lymphocyte-to- C-reactive protein ratio (LCR) is a predictive biomarker studied in oncology, which could have some advantages in COVID-19 patients in the early stages of the disease. Our objective was to estimate the risk of LCR < 100 and mortality in hospitalized patients with COVID-19. Methods: hospitalized patients with COVID-19 seen between March to October 2020 were included. The patients were grouped according to LCR < 100 and LCR > 100. A Cox regression model was performed to estimate the association between LCR < 100 and mortality. Results: we included 730 patients with COVID-19. The mean age at diagnosis was 49.9 years (SD 16.8) and 401 (55%) were men. Cox regression model showed an association between LCR <100 and mortality (HR 6.2; 95% CI 1.6 to 23.5; p 0.008), adjusting by age. severe pneumonia, intensive care requirements, and comorbidities. Conclusion: LPCR <100 in the initial assessment of hospitalized patients with COVID-19 suggests a higher risk of mortality.

The underestimation of sleep duration phenotype is associated with better treatment response to cognitive behavior therapy for insomnia in patients with chronic insomnia: a preliminary study.

STUDY OBJECTIVES: To examine treatment response to cognitive behavior therapy for insomnia (CBT-I) in patients with chronic insomnia with and without underestimation of sleep duration. METHODS: We studied 41 patients with chronic insomnia who had received 5-week CBT-I. Self-reported and objective sleep were assessed with sleep diary and actigraphy, respectively. Sleep perception was calculated as self-reported total sleep time/objective total sleep time. The underestimation of sleep duration group was defined based on sleep perception less than the median of the overall sample (85%). Insomnia Severity Index was used to assess the severity of insomnia. RESULTS: The total scores of Insomnia Severity Index decreased significantly after CBT-I in both groups with and without underestimation of sleep duration. Compared to pretreatment, self-reported sleep efficiency increased and total wake time decreased after CBT-I, while the magnitude of changes in sleep efficiency (d = 1.40 vs d=0.81, interaction P = .016) and total wake time (d = -1.82 vs d = -0.85, interaction P < .001) were larger in the underestimation of sleep duration group . Furthermore, self-reported sleep onset latency (interaction P = .520) and wake after sleep onset (interaction P = .052) decreased in the underestimation of sleep duration group (all P < .05), but not in patients without underestimation of sleep duration. Linear regressions showed that lower sleep perception at baseline predicted greater increase in self-reported sleep efficiency (ß = -0.99, P < .001) and total sleep time (ß = -0.51, P = .006) and greater decrease in self-reported total wake time (ß=1.22, P = .023) after CBT-I after adjusting for confounders. CONCLUSIONS: The current preliminary study suggests that sleep perception moderates the self-reported CBT-I effects on chronic insomnia: the phenotype of underestimation of sleep duration is associated with a better response to CBT-I, especially in self-reported sleep parameters. CITATION: Sun Q, Dai Y, Chen B, et al. The underestimation of sleep duration phenotype is associated with better treatment response to cognitive behavior therapy for insomnia in patients with chronic insomnia: a preliminary study. J Clin Sleep Med. 2022;18(10):2443-2450.