Clinical presentations and diagnostic application of proposed biomarkers in psychiatric-onset prodromal dementia with Lewy bodies.

Research criteria for the diagnosis of prodromal dementia with Lewy bodies (DLB) include three clinical subtypes: mild cognitive impairment with Lewy bodies (MCI-LB), delirium-onset prodromal DLB, and psychiatric-onset prodromal DLB. Late-onset psychiatric manifestations are at a higher risk of developing dementia, but its relation to prodromal DLB remains unclear. In addition to the risk of severe antipsychotic hypersensitivity reactions, accurate discrimination from non-DLB cases is important due to the potential differences in management and prognosis. This article aims to review a rapidly evolving psychiatric topic and outline clinical pictures of psychiatric-onset prodromal DLB, including the proposed biomarker findings of MCI-LB: polysomnography-confirmed rapid eye movement sleep behaviour disorder, cardiac [123I]metaiodobenzylguanidine scintigraphy, and striatal dopamine transporter imaging. We first reviewed clinical pictures of patients with autopsy-confirmed DLB. Regarding clinical reports, we focused on the patients who predominantly presented with psychiatric manifestations and subsequently developed DLB. Thereafter, we reviewed clinical studies regarding the diagnostic applications of the proposed biomarkers to patients with late-onset psychiatric disorders. Clinical presentations were mainly late-onset depression and psychosis; however, other clinical manifestations were also reported. Psychotropic medications before a DLB diagnosis may cause extrapyramidal signs, and potentially influences the proposed biomarker findings. These risks complicate clinical manifestation interpretation during the management of psychiatric symptoms. Longitudinal follow-up studies with standardised evaluations until conversion to DLB are needed to investigate the temporal trajectories of core features and proposed biomarker findings. In patients with late-onset psychiatric disorders, identification of patients with psychiatric-onset prodromal DLB provides the opportunity to better understanding the distinct prognostic subgroup that is at great risk of incident dementia. Advances in the establishment of direct biomarkers for the detection of pathological α-synuclein may encourage reorganising the phenotypic variability of prodromal DLB.

Neuropathological substrate of incident dementia in older patients with schizophrenia: A clinicopathological study.

AIM: Clinical studies reported that patients with schizophrenia are at a higher risk of developing dementia than people without schizophrenia. However, early neuropathological studies have shown that the incidence of Alzheimer's disease (AD) in schizophrenia patients does not differ from that in controls. These inconsistent results may be attributable to the inclusion of non-AD dementia, but there have been few clinicopathological studies in older patients with schizophrenia based on the current neuropathological classification. This study aimed to investigate the neuropathological basis of incident dementia in older patients with schizophrenia. METHODS: We systematically examined 32 brains of old patients with schizophrenia using standardized pathological methods. The severity of dementia-related neuropathologies was analyzed using standardized semiquantitative assessments. After excluding patients who fulfilled the neuropathological criteria, clinicopathological variables were compared between patients with and without incident dementia to identify potential differences. RESULTS: Seven patients fulfilled the pathological criteria for AD (n = 3), argyrophilic grain disease (AGD) (n = 2), dementia with Lewy bodies (n = 1), and AGD/progressive supranuclear palsy (n = 1). Among 25 patients for whom a neuropathological diagnosis was not obtained, 10 had dementia, but the clinicopathological findings did not differ from the remaining 15 patients without dementia. CONCLUSION: Two types of older schizophrenia patient present dementia: patients with co-existing neurodegenerative disease and patients who do not meet pathological criteria based on the current classification. To understand the neurobiological aspects of incident dementia in older patients with schizophrenia, further clinicopathological studies are needed that do not simply analyze incident dementia as a comorbidity of conventional dementia-related neuropathologies.

Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study.

BACKGROUND: Sleep disturbances are core symptoms of psychiatric disorders. Although various sleep measures have been developed to assess sleep patterns and quality of sleep, the concordance of these measures in patients with psychiatric disorders remains relatively elusive. OBJECTIVE: This study aims to examine the degree of agreement among 3 sleep recording methods and the consistency between subjective and objective sleep measures, with a specific focus on recently developed devices in a population of individuals with psychiatric disorders. METHODS: We analyzed 62 participants for this cross-sectional study, all having data for polysomnography (PSG), Zmachine, Fitbit, and sleep logs. Participants completed questionnaires on their symptoms and estimated sleep duration the morning after the overnight sleep assessment. The interclass correlation coefficients (ICCs) were calculated to evaluate the consistency between sleep parameters obtained from each instrument. Additionally, Bland-Altman plots were used to visually show differences and limits of agreement for sleep parameters measured by PSG, Zmachine, Fitbit, and sleep logs. RESULTS: The findings indicated a moderate agreement between PSG and Zmachine data for total sleep time (ICC=0.46; P<.001), wake after sleep onset (ICC=0.39; P=.002), and sleep efficiency (ICC=0.40; P=.006). In contrast, Fitbit demonstrated notable disagreement with PSG (total sleep time: ICC=0.08; wake after sleep onset: ICC=0.18; sleep efficiency: ICC=0.10) and exhibited particularly large discrepancies from the sleep logs (total sleep time: ICC=-0.01; wake after sleep onset: ICC=0.05; sleep efficiency: ICC=-0.02). Furthermore, subjective and objective concordance among PSG, Zmachine, and sleep logs appeared to be influenced by the severity of the depressive symptoms and obstructive sleep apnea, while these associations were not observed between the Fitbit and other sleep instruments. CONCLUSIONS: Our study results suggest that Fitbit accuracy is reduced in the presence of comorbid clinical symptoms. Although user-friendly, Fitbit has limitations that should be considered when assessing sleep in patients with psychiatric disorders.

LPS and its relationship with subjective-objective discrepancies of sleep onset latency in patients with psychiatric disorders.

Subjective-objective discrepancies in sleep onset latency (SOL), which is often observed among psychiatric patients, is attributed partly to the definition of sleep onset. Recently, instead of SOL, latency to persistent sleep (LPS), which is defined as the duration from turning out the light to the first consecutive minutes of non-wakefulness, has been utilized in pharmacological studies. This study aimed to determine the non-awake time in LPS that is most consistent with subjective sleep onset among patients with psychiatric disorders. We calculated the length of non-awake time in 30-s segments from lights-out to 0.5-60 min. The root mean square error was then calculated to determine the most appropriate length. The analysis of 149 patients with psychiatric disorders showed that the optimal non-awake time in LPS was 12 min. On the other hands, when comorbid with moderate or severe obstructive sleep apnea (OSA), the optimal length was 19.5 min. This study indicates that 12 min should be the best fit for the LPS non-awake time in patients with psychiatric disorders. When there is comorbidity with OSA, however, a longer duration should be considered. Measuring LPS minimizes discrepancies in SOL and provides important clinical information.

Towards an understanding of the pathological basis of senile depression and incident dementia: Implications for treatment.

Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early-life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age-related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age-related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic-pituitary-adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age-related neuropathological changes.

A Study of Factors Causing Sleep State Misperception in Patients with Depression.

Purpose: Sleep state misperception, which is the discrepancy between subjective and objective sleep, is often observed in patients with depression. This phenomenon may delay the remission of depression. Previous studies have focused on the total sleep time (TST) misperception, with many of these studies using actigraphy. Thus, our study investigated depressed patients with the exploratory aim of clarifying factors associated with the sleep state misperception including the wake after sleep onset (WASO) misperception, with their objective sleep additionally evaluated by polysomnography (PSG). Patients and Methods: We conducted a cross-sectional study. Before undergoing overnight PSG monitoring, 40 patients with depression completed questionnaires that included the Beck Depression Inventory (BDI), Epworth sleepiness scale, Temperament and Character Inventory, and the Pittsburgh sleep quality index. Patients were also asked to estimate their subjective sleep duration after they woke up in the morning. Based on this data, we calculated the misperception using the following formula: subjective sleep duration minus objective sleep duration. We compared each factor between negative and positive misperception groups and the multiple regression analysis was performed for TST and WASO misperception, respectively. Results: Although sleep architectures, age, severity of depression and obstructive sleep apnea (OSA) exhibited differences in underestimating or overestimating the WASO, only sex differences were associated with underestimating or overestimating their total sleep time (TST). Moreover, BDI, the severity of OSA, sleep architectures (N1% and N2%), and benzodiazepine (BZD) use were significantly correlated with WASO misperception, whereas only OSA severity was significantly correlated with TST misperception. A subsequent multiple regression analysis demonstrated the BDI was independently correlated with the WASO misperception (ß=0.341, p=0.049). Conclusion: In clinical practice, interventions especially for OSA, and the reduction of depressive symptoms are an important method for improving patient sleep perception. Moreover, current results suggest that BZD prescriptions should be avoided as well.

Prevalence of obstructive sleep apnea as assessed by polysomnography in psychiatric patients with sleep-related problems.

PURPOSE: Patients with psychiatric disorders often complain of sleep disturbances and are frequently suspected of obstructive sleep apnea (OSA). However, data regarding sleep problems evaluated by attended polysomnography (PSG) remain limited in this population. We analyzed the results of attended PSG from psychiatric patients with sleep-related problems to determine the prevalence and features of sleep disorders among this population. METHODS: We retrospectively investigated the attended PSG results of patients with psychiatric disorders: major depressive disorder, bipolar disorder, neurodevelopmental disorder, schizophrenia, neurocognitive disorder, anxiety disorder, somatic symptom disorder. RESULTS: Of 264 patients, 158 men (60%), mean age was 47 ± 19.9 years. More than half of the patients with major depressive disorder (62%), bipolar disorder (70%), schizophrenia (58%), neurocognitive disorders (55%), and somatic symptom disorder (56%) had OSA. Among the psychiatric patients with OSA, 62% of these patients had moderate to severe OSA. The risk factors for OSA were snoring, male, age, and body mass index. The presence of OSA was not associated with the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale score, or benzodiazepine, antipsychotic, or antidepressant use. Other sleep disorders were insomnia (19%), central disorders of hypersomnia (8%), restless legs syndrome/periodic limb movement of sleep (8%), rapid eye movement sleep behavior disorder (7%), and central sleep apnea syndrome (3%). CONCLUSIONS: PSG revealed that moderate to severe OSA was common in psychiatric patients with or without snoring. Subjective symptoms and psychotropics did not predict OSA. Therefore, PSG is needed to reveal sleep conditions in patients with psychiatric disorders.

Polysomnographic characteristics and predictors of positional obstructive sleep apnea in Japanese elderly.

Sleep problems and obstructive sleep apnea (OSA) increase with age and disturb life in old age. Positional therapy is one option to treat OSA, but the differences in clinical pathophysiology between elderly and other age groups have not been fully investigated. We explored the pathophysiological features of sleep apnea, factors that are independently associated with positional OSA and the prevalence in elderly patients. We studied demographic and polysomnographic data of 85 elderly individuals with OSA (age ≥ 65 years) and 124 non-elderly patients with OSA (age, 20-64 years). The Amsterdam Positional OSA Classification (APOC) was used to evaluate positional OSA. Body mass index (BMI) and Epworth sleepiness scale were both significantly lower in the elderly group than in the non-elderly group, although apnea/hypopnea index (AHI) did not differ between groups. OSA severity affected total sleep time, sleep efficiency, and waking after sleep onset more in the elderly than in the non-elderly. AHI in the lateral position was significantly lower in elderly than in non-elderly, although AHI in the supine position was almost the same between two groups. The distribution of APOC 1 and 2 (lateral sleep effective) was significantly higher in the elderly than in the non-elderly. Relative factors such as BMI, rate of hypopnea, and lowest SpO2 associated with positional OSA in non-elderly groups did not differ significantly among APOC subgroups in elderly patients. Our findings are suggesting that characteristics of the positional OSA is different between elderly and younger-age OSA patients.

Early diagnosis of prodromal dementia with Lewy bodies using clinical history of probable REM sleep behaviour disorder and cardiac 123 I-MIBG scintigraphy in memory clinics.

BACKGROUND: Rapid eye movement sleep behaviour disorder (RBD) is associated with reduced cardiac 123 I-metaiodobenzylguanidine (MIBG) uptake and often precedes the onset of Lewy body (LB) disorders. We investigated the role of cardiac 123 I-MIBG scintigraphy in relation to probable RBD for the clinical diagnosis of prodromal dementia with Lewy bodies (DLB) in memory clinics. METHODS: We reviewed clinical profiles of 60 consecutive patients who underwent cardiac 123 I-MIBG scintigraphy in our memory clinics. The diagnostic threshold of 2.20 was used as the cut-off for the heart-to-mediastinum ratio at the delayed phase. RESULTS: Cardiac 123 I-MIBG abnormality was identified in 28 patients at baseline; six were cognitively unimpaired, six had mild cognitive impairment (MCI)-LB, and 16 had probable DLB based on the National Institute on Aging and Alzheimer's Association Research Framework. Although the number of core features increased in accordance with the progression of three cognitive categories, there were no differences in the prevalence of probable RBD and the cardiac MIBG scintigraphy indices among them. During the observation period, two cognitively unimpaired patients with probable RBD progressed to MCI-LB, and three MCI-LB patients with probable RBD developed DLB. The prevalence of final diagnosis of probable MCI-LB or DLB was significantly higher in these patients (85%) than the remaining 32 patients without (9%). Of 25 patients with probable RBD, 22 (88%) had a cardiac 123 I-MIBG abnormality regardless of cognitive conditions. Only one patient consulted a sleep centre for the abnormal sleep behaviour before visiting our memory clinics. Regarding the gender differences, male predominance was not identified and sleep-related injury more frequently occurred in men (7/12, 58%) than in women (1/10, 10%). CONCLUSIONS: Proactive detection of probable RBD plus cardiac 123 I-MIBG abnormality provides the opportunity for an early diagnosis of prodromal DLB in memory clinics. This approach warrants further follow-up studies with polysomnographic and pathological verification.

Clinicopathological investigation of the background of cognitive decline in elderly schizophrenia.

OBJECTIVE: We have often observed dementia symptoms or severe neurocognitive decline in the long-term course of schizophrenia. While there are epidemiological reports that patients with schizophrenia are at an increased risk of developing dementia, there are also neuropathological reports that the prevalence of Alzheimer's disease (AD) in schizophrenia is similar to that in normal controls. It is difficult to distinguish, based solely on the clinical symptoms, whether the remarkable dementia symptoms and cognitive decline seen in elderly schizophrenia are due to the course of the disease itself or a concomitant neurocognitive disease. Neuropathological observation is needed for discrimination. METHODS: We conducted a neuropathological search on three cases of schizophrenia that developed cognitive decline or dementia symptoms after a long illness course of schizophrenia. The clinical symptoms of total disease course were confirmed retrospectively in the medical record. We have evaluated neuropathological diagnosis based on not only Hematoxylin-Eosin and Klüver-Barrera staining specimens but also immunohistochemical stained specimens including tau, ß-amyloid, pTDP-43 and α-synuclein protein throughout clinicopathological conference with multiple neuropathologists and psychiatrists. RESULTS: The three cases showed no significant pathological findings or preclinical degenerative findings, and poor findings consistent with symptoms of dementia were noted. CONCLUSION: Although the biological background of dementia symptoms in elderly schizophrenic patients is still unclear, regarding the brain capacity/cognitive reserve ability, preclinical neurodegeneration changes in combination with certain brain vulnerabilities due to schizophrenia itself are thought to induce dementia syndrome and severe cognitive decline.