Catatonia and Opioid Withdrawal: A Case Report.

In this case report, we present an 82-year-old female who was diagnosed with catatonia after she exhibited immobility, mutism, withdrawal, and stereotypy during a hospitalization for altered mental status. Fentanyl was found in her urine toxicology, and it was later discovered that she had been taking non-prescription pills from Mexico that were likely the source of the fentanyl. Her catatonia quickly remitted with benzodiazepine treatment. This case underscores previously unknown risks of substance use, which has grown especially important to psychiatric care considering how rampant the opioid epidemic has become. More so, these risks extend beyond opioid use disorders since other non-prescription drugs are commonly laced with fentanyl. Not only does this education need to be given to providers and patients alike, but further research should be conducted to establish and quantify the risk of catatonia with opioid withdrawal.

Knowledge and Attitude Towards the Elderly Among Doctors and Medical Students: A Questionnaire-Based Study.

INTRODUCTION:  There is a continuous rise in the total number and percentage of elders globally, and as such, they are expected to utilize healthcare services more often. Therefore, this study aimed to determine doctors' and students' current knowledge and attitudes toward elders and compare those findings with other studies worldwide. The specific objectives of this study were to determine and compare the differences in attitudes between medical students and doctors regarding geriatrics. This comparison will focus on the following four key domains: social values, resource distribution, compassion, and medical care. Another objective was to assess the knowledge of medical students and doctors regarding geriatric topics. This assessment will help determine the necessity for interventions such as educational programs and workshops on geriatrics. METHODS: This cross-sectional questionnaire-based study was conducted by disseminating a Google Forms survey to medical students and doctors. The survey included the University of California, Los Angeles (UCLA) Geriatrics Attitudes Scale and the UCLA Geriatrics Knowledge Test. Data was analyzed using SPSS version 29.0.2.0 (Armonk, NY: IBM Corp.). RESULTS:  A total number of 126 medical students and 72 doctors filled out the survey. Both medical students and doctors demonstrated moderate scores on the attitudes scale, with overall average scores of 2.92 out of 5 and 2.93 out of 5, respectively. As for knowledge, medical students achieved an average score of 41%, while doctors attained an average score of 43%. CONCLUSION:  This study provides significant insights regarding the knowledge and attitudes of students and doctors and attitudes towards geriatrics. The moderate attitudes score and poor knowledge score across both groups indicate the need for medical educators in Oman to further emphasize and teach about geriatrics in medical curricula.

Personality assessment in nursing home residents with mental and physical multimorbidity: two informant perspectives.

OBJECTIVES: In older patients with mental and physical multimorbidity (MPM), personality assessment is highly complex. Our aim was to examine personality traits in this population using the Hetero-Anamnestic Personality questionnaire (HAP), and to compare the premorbid perspective of patients' relatives (HAP) with the present-time perspective of nursing staff (HAP-t). DESIGN: Cross-sectional. SETTING: Dutch gerontopsychiatric nursing home (GP-NH) units. PARTICIPANTS: Totally, 142 GP-NH residents with MPM (excluding dementia). MEASUREMENTS: NH norm data of the HAP were used to identify clinically relevant premorbid traits. Linear mixed models estimated the differences between HAP and HAP-t trait scores (0-10). Agreement was quantified by intraclass correlation coefficients (ICCs). All HAP-HAP-t analyses were corrected for response tendency (RT) scores (-10-10). RESULTS: 78.4% of the patients had at least one premorbid maladaptive trait, and 62.2% had two or more. Most prevalent were: "disorderly" (30.3%), "unpredictable/impulsive" (29.1%) and "vulnerable" (27.3%) behavior. The RT of relatives appeared significantly more positive than that of nursing staff (+1.8, 95% CI 0.6-2.9, p = 0.002). After RT correction, the traits "vulnerable", "perfectionist" and "unpredictable/impulsive" behavior scored higher on the HAP than HAP-t (respectively +1.2, 95% CI 0.6-1.7, p < 0.001; +2.1, 95% CI 1.3-2.8, p < 0.001; +0.6, 95% CI 0.1-1.1, p = 0.013), while "rigid" behavior scored lower (-0.7, 95% CI -1.3 to -0.03, p = 0.042). Adjusted ICCs ranged from 0.15 to 0.58. CONCLUSIONS: Our study shows high percentages of premorbid maladaptive personality traits, which calls for attention on personality assessment in MPM NH residents. Results also indicate that the HAP and HAP-t questionnaires should not be used interchangeably for this patient group in clinical practice.

Comparative Effectiveness of Clinician- Versus Peer-Supported Problem-Solving Therapy for Rural Older Adults With Depression.

OBJECTIVE: Self-guided and peer-supported treatments for depression among rural older adults may address some common barriers to treatment. This pilot study compared the effect on depression of peer-supported, self-guided problem-solving therapy (SG-PST) with case management problem-solving therapy (CM-PST) among older adults in rural California. METHODS: Older adults with depression (N=105) received an introductory PST session with a clinician, followed by 11 sessions of CM-PST with a clinician (N=85) or SG-PST with a peer counselor (N=20). RESULTS: Both interventions resulted in clinically significant improvement in depression by week 12. Depression scores in the CM-PST group dropped by 4.1 points more than in the SG-PST group between baseline and week 12 (95% CI=0.99-7.22, p<0.001, Hedges's g=1.08). CONCLUSIONS: The results suggest that peer-supported SG-PST is a viable, acceptable option for rural older adults with depression as a second-line treatment if access to clinicians is limited.

Quantifying Apathy in Late-Life Depression: Unraveling Neurobehavioral Links through Daily Activity Patterns and Brain Connectivity Analysis.

BACKGROUND: Better understanding apathy in late-life depression (LLD) would help predicting poor prognosis of the disease such as dementia. Actimetry provides an objective and ecological measure of apathy from patients' daily motor activity. We aimed to determine if patterns of motor activity were associated with apathy and brain connectivity in networks underlying goal-directed behaviors. METHODS: Resting-state functional MRI and diffusion MRI were collected from 38 non-demented LLD subjects. Apathy was evaluated using the diagnostic criteria for apathy, the apathy evaluation scale (AES) and the apathy motivation index (AMI). Functional principal components (fPC) of motor activity were derived from actimetry recordings of 72 hours. Associations between fPC and apathy were estimated by linear regression. Subnetworks whose connectivity was significantly associated with fPC were identified via the threshold-free network-based statistics. The relationship between apathy and microstructure metrics was estimated along fibers by diffusion tensor imaging and a multicompartment model called neurite orientation dispersion and density imaging via tractometry. RESULTS: We found two fPC associated with apathy: mean diurnal activity, negatively associated with AES, and an early chronotype, negatively associated with AMI. Mean diurnal activity was associated with increased connectivity in the default-mode, the cingulo-opercular and the frontoparietal networks, while chronotype was associated with a more heterogenous connectivity pattern in the same networks. We did not find significant associations between microstructural metrics and fPCs. CONCLUSION: Our findings suggest that mean diurnal activity and chronotype could provide indirect ambulatory measures of apathy in LLD, associated with modified functional connectivity of brain networks underlying goal-directed behaviors.

Suspected geriatric onset of attention-deficit/hyperactivity disorder in a patient with comorbid bipolar disorder.

BACKGROUND: An increasing number of adults over 60 years old are presenting with requests for treatment of attention-deficit/hyperactivity disorder (ADHD). However, the prevalence of ADHD in older adults in geriatrics is unknown. Further, comorbid bipolar disorder and adult ADHD are likely underrecognized with many patients only receiving treatment for one of these conditions. The occurrence of bipolar disorder with geriatric onset ADHD is unknown. CASE PRESENTATION: A 64-year-old Hispanic woman with a psychiatric history of bipolar I disorder (diagnosed in early adulthood) was diagnosed with ADHD suspected of geriatric onset, and able to be successfully managed on concurrent mood stabilizers and psychostimulant medication. CONCLUSIONS: The findings of this case report emphasize the importance of appropriately recognizing and treating comorbid ADHD and bipolar disorder in any age group, including the geriatric population for which this occurrence appears to be very rare. Additionally, this case report demonstrates the safe utilization of psychostimulant medications in a geriatric patient with bipolar disorder without inducing a manic episode or other significant adverse reactions.

The evaluation of frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults'.

BACKGROUND: Delirium is a common complication in hospitalized older adults with multifactorial etiology and poor health outcomes. AIM: To determine the frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults. METHODS: A prospective observational study was performed in patients aged ≥60 years consecutively admitted to geriatric ward. Potential risk factors were assessed within 24 hours of hospital admission. Delirium screening was performed on admission and daily thereafter throughout the hospital stay using Confusion Assessment Method (CAM). Patients were followed up at 1-year post-discharge. RESULTS: The study included 200 patients with mean age 73.1 ± 8.83 years. Incidence and prevalence rate of delirium were 5% and 20% respectively. Multivariable regression analysis revealed emergency admission (OR= 5.12 (1.94-13.57), p=0.001), functional dependency (Katz index of Independence in Activities of Daily Living (Katz-ADL) score <5) 2 weeks before admission (OR= 3.08 (1.30-7.33), p=0.011) and more psychopathological symptoms (higher Brief Psychiatric Rating Scale (BPRS) total score) (OR=1.12 (1.06-1.18), p=0.001) to be independently associated with delirium. Patients in delirium group had significantly high in-hospital mortality (OR= 5.02 (2.12-11.8), p=0.001) and post-discharge mortality (HR= 2.02 (1.13-3.61), p=0.017) and functional dependency (Katz-ADL score <5) (OR= 5.45 (1.49-19.31), p=0.01) at 1-year follow up. CONCLUSION: Delirium is quite frequent in geriatric inpatients and is associated with high in-hospital and post-discharge mortality risk and long-term functional dependency. Emergency admission, pre-hospitalization functional dependency, and more general psychopathological symptoms are independently associated factors. Hence, earliest identification and treatment with early implementation of rehabilitation services is warranted.

User-Friendly Chatbot to Mitigate the Psychological Stress of Older Adults During the COVID-19 Pandemic: Development and Usability Study.

BACKGROUND: To safeguard the most vulnerable individuals during the COVID-19 pandemic, numerous governments enforced measures such as stay-at-home orders, social distancing, and self-isolation. These social restrictions had a particularly negative effect on older adults, as they are more vulnerable and experience increased loneliness, which has various adverse effects, including increasing the risk of mental health problems and mortality. Chatbots can potentially reduce loneliness and provide companionship during a pandemic. However, existing chatbots do not cater to the specific needs of older adult populations. OBJECTIVE: We aimed to develop a user-friendly chatbot tailored to the specific needs of older adults with anxiety or depressive disorders during the COVID-19 pandemic and to examine their perspectives on mental health chatbot use. The primary research objective was to investigate whether chatbots can mitigate the psychological stress of older adults during COVID-19. METHODS: Participants were older adults belonging to two age groups (≥65 years and <65 years) from a psychiatric outpatient department who had been diagnosed with depressive or anxiety disorders by certified psychiatrists according to the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) criteria. The participants were required to use mobile phones, have internet access, and possess literacy skills. The chatbot's content includes monitoring and tracking health data and providing health information. Participants had access to the chatbot for at least 4 weeks. Self-report questionnaires for loneliness, depression, and anxiety were administered before and after chatbot use. The participants also rated their attitudes toward the chatbot. RESULTS: A total of 35 participants (mean age 65.21, SD 7.51 years) were enrolled in the trial, comprising 74% (n=26) female and 26% (n=9) male participants. The participants demonstrated a high utilization rate during the intervention, with over 82% engaging with the chatbot daily. Loneliness significantly improved in the older group ≥65 years. This group also responded positively to the chatbot, as evidenced by changes in University of California Los Angeles Loneliness Scale scores, suggesting that this demographic can derive benefits from chatbot interaction. Conversely, the younger group, <65 years, exhibited no significant changes in loneliness after the intervention. Both the older and younger age groups provided good scores in relation to chatbot design with respect to usability (mean scores of 6.33 and 6.05, respectively) and satisfaction (mean scores of 5.33 and 5.15, respectively), rated on a 7-point Likert scale. CONCLUSIONS: The chatbot interface was found to be user-friendly and demonstrated promising results among participants 65 years and older who were receiving care at psychiatric outpatient clinics and experiencing relatively stable symptoms of depression and anxiety. The chatbot not only provided caring companionship but also showed the potential to alleviate loneliness during the challenging circumstances of a pandemic.

Palliative Care Psychiatry: Building Synergy Across the Spectrum.

PURPOSE OF REVIEW: Palliative care (PC) psychiatry is a growing subspecialty focusing on improving the mental health of those with serious medical conditions and their caregivers. This review elucidates the current practice and ongoing evolution of PC psychiatry. RECENT FINDINGS: PC psychiatry leverages training and clinical practices from both PC and psychiatry, addressing a wide range of needs, including enhanced psychiatric care for patients with serious medical illness, PC access for patients with medical needs in psychiatric settings, and PC-informed psychiatric approaches for individuals with treatment-refractory serious mental illness. PC psychiatry is practiced by a diverse workforce comprising hospice and palliative medicine-trained psychiatrists, psycho-oncologists, geriatric psychiatrists, other mental health professionals, and non-psychiatrist PC clinicians. As a result, PC psychiatry faces challenges in defining its operational scope. The manuscript outlines the growth, current state, and prospects of PC psychiatry. It examines its roles across various healthcare settings, including medical, integrated care, and psychiatric environments, highlighting the unique challenges and opportunities in each. PC psychiatry is a vibrant and growing subspecialty of psychiatry that must be operationalized to continue its developmental trajectory. There is a need for a distinct professional identity for PC psychiatry, strategies to navigate administrative and regulatory hurdles, and greater support for novel clinical, educational, and research initiatives.

Comparative effectiveness of selective serotonin reuptake inhibitors (SSRIs) for depression in 43,061 older adults with chronic somatic diseases: A Danish target trial emulation study.

OBJECTIVE: To investigate the comparative effectiveness of commonly used selective serotonin reuptake inhibitors (SSRIs) for comorbid depression in older adults with chronic somatic diseases by applying a target-trial-emulation framework. METHODS: Danish target-trial-emulation study including 43,061 individuals aged ≥65 years (54.1% females, mean age 77.8 years) with a first redeemed prescription for depression with sertraline (n = 6673), escitalopram (n = 7104) or citalopram (n = 29,284) in 2006-2017. Individuals had cancer, cardiovascular diseases (CVD), chronic-obstructive-pulmonary-disease (COPD)/asthma, diabetes, neurodegenerative disorders, or osteoporosis. Outcomes were treatment switching, combination/augmentation, psychiatric hospital contact for depression, and any psychiatric in-patient care. Follow-up was one year and adjusted Cox regression analyses calculated hazard rate ratios (HRR) within each somatic disease. RESULTS: Across all six disease groups and four outcomes, we found that citalopram use, compared with sertraline, was associated with lower risks in several analyses, with statistically significant results in cancer, CVD, COPD/asthma, and diabetes (e.g., HRRs for psychiatric hospital contacts for depression/any psychiatric in-patient care ranging between 0.47 and 0.61). For escitalopram, compared with sertraline, some analyses indicated poorer outcomes with significantly higher risks for combination/augmentation treatment (HRRs ranging between 1.15 and 1.40). CONCLUSIONS: Although observational studies are prone to confounding, these findings indicate clinically relevant differences between the SSRIs, with better outcomes in citalopram users and poorer outcomes in escitalopram users than sertraline, urging the need for clinical studies in this vulnerable patient population.

J-shaped association between dietary thiamine intake and the risk of cognitive decline in cognitively healthy, older Chinese individuals.

Background: The prospective association of dietary thiamine intake with the risk of cognitive decline among the general older adults remains uncertain. Aims: To investigate the association between dietary thiamine intake and cognitive decline in cognitively healthy, older Chinese individuals. Methods: The study included a total of 3106 participants capable of completing repeated cognitive function tests. Dietary nutrient intake information was collected through 3-day dietary recalls and using a 3-day food-weighed method to assess cooking oil and condiment consumption. Cognitive decline was defined as the 5-year decline rate in global or composite cognitive scores based on a subset of items from the Telephone Interview for Cognitive Status-modified. Results: The median follow-up duration was 5.9 years. There was a J-shaped relationship between dietary thiamine intake and the 5-year decline rate in global and composite cognitive scores, with an inflection point of 0.68 mg/day (95% confidence interval (CI): 0.56 to 0.80) and a minimal risk at 0.60-1.00 mg/day of dietary thiamine intake. Before the inflection point, thiamine intake was not significantly associated with cognitive decline. Beyond the inflection point, each unit increase in thiamine intake (mg/day) was associated with a significant decrease of 4.24 (95% CI: 2.22 to 6.27) points in the global score and 0.49 (95% CI: 0.23 to 0.76) standard units in the composite score within 5 years. A stronger positive association between thiamine intake and cognitive decline was observed in those with hypertension, obesity and those who were non-smokers (all p<0.05). Conclusions: This study revealed a J-shaped association between dietary thiamine intake and cognitive decline in cognitively healthy, older Chinese individuals, with an inflection point at 0.68 mg/day and a minimal risk at 0.60-1.00 mg/day of dietary thiamine intake.

Psychiatric disorders in older adults with cancer referred to psycho-oncology service in a tertiary care cancer centre: a 7-year real world experience from India.

BACKGROUND: Cancer affects mental health in older adults with cancer (OAC), affecting almost 50% of the patients. There are only a few studies on psychiatric disorders in OAC, especially in low resource settings. We report on our real-world experience of prevalence of and factors associated with psychiatric disorders in OAC referred to a psycho-oncology service in an Indian tertiary care cancer institute. METHODS: We retrospectively analysed medical and psycho-oncology records of patients aged 60 + on cancer-directed treatment or follow-up for < 2 years after treatment completion, referred to psycho-oncology services in a tertiary care cancer centre in Mumbai, India, from Jan 2011-Dec 2017. We recorded sociodemographic, clinical, and treatment-related variables, as well as past psychiatric disorders. The ICD-10 was used to record current psychiatric disorder type and presence. IBM SPSS version 24 (Armonk, NY, USA) was used for descriptive measures, tests of association, and logistic regression analysis. The study protocol was approved by Institutional Ethics Committee and registered with the Clinical Trials Registry-India (CTRI/2020/06/026095). RESULTS: Of 763 patients included in the study, 475 (62.3%) were males and 436 (57.1%) were inpatients, with a median age of 65 years. 93% of the patients had a solid tumour and 207 (27.1%) had a history of psychiatric disorder. A current psychiatric diagnosis was noted in 556 patients (72.9%) on initial presentation, of which adjustment disorders, delirium and depression and anxiety disorders were most frequently seen in 25.2%, 21% and 11.1%, respectively. On univariate analysis, a past history of psychiatric disorders (χ2 = 34.6, p < 0.001), lower performance status (χ2 = 9.9, p = 0.002) and haematolymphoid malignancy (χ2 = 4.08, p = 0.04) significantly increased the risk of current psychiatric diagnosis. Logistic regression confirmed these variables as significant. CONCLUSION: Older adults with cancer referred to psycho-oncology services have high rates of psychiatric disorders at their initial presentation, mainly adjustment disorders, delirium and depression and anxiety. A past history of psychiatric disorders, lower performance status and haematolymphoid cancers significantly increased the risk of psychiatric disorders. Multidisciplinary psycho-oncology teams including a psychiatrist should be integrated in comprehensive care of this group of patients. Further research outcomes and effect of psycho-oncological interventions is required in older adults with cancer in LMIC settings.