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Design: This is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador. Participants: The study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or dementia, out of which 272 individuals (mean age = 75 years; 164 female) presenting specific medical conditions were selected for analysis. Measurements: Data were collected on demographics, medical history, and neuropsychological assessment using the Neuropsi scale. Conditions such as Type 2 Diabetes Mellitus, hypertension, obesity, and history of traumatic brain injury were specifically noted. Results: Latent Class Analysis identified three distinct classes of patients: Unspecified Cognitive Deterioration, Dementia, and MCI. The three-class model provided the best fit, revealing varied morbidity patterns and highlighting the influence of vascular and metabolic conditions on cognitive decline. Notably, similarities in hypertension and diabetes prevalence between Dementia and MCI classes suggested shared risk factors. The study also found no significant age differences between the classes, indicating that age alone might not be the primary determinant in the progression of cognitive decline. Conclusions: The study underscores the complexity of dementia and MCI in an ageing Ecuadorian population, with vascular health playing a crucial role in cognitive impairment. These findings advocate for a holistic approach in managing dementia and MCI, emphasising the importance of addressing cardiovascular and metabolic health alongside neurocognitive care. The distinct morbidity patterns identified offer insights into tailored intervention strategies, highlighting the need for comprehensive, multidisciplinary care in dementia management. [ABSTRACT FROM AUTHOR]

Autism has been associated with increased mortality risk among adult populations, but little is known about the mortality risk among children and young people (0–24 years). We used a 15-year nationwide birth cohort study using linked health and non-health administrative data to estimate the mortality risk among Autistic children and young people in Aotearoa/New Zealand. Time-to-event analysis was used to determine the association between autism and mortality, controlling for sex, age, ethnicity, deprivation and rurality of residence. The participant population included 895,707 children of whom 11,919 (1.4%) were identified as Autistic. Autism was associated with a significantly higher mortality risk (hazard ratio = 2.35; 95% confidence interval = 1.80–3.06) compared to the general population. In addition, using stratified analyses, we found that this risk was significantly higher among females (hazard ratio = 5.40; 95% confidence interval = 3.42–8.52) compared to males (hazard ratio = 1.82; 95% confidence interval = 1.32–2.52). We also determined that among Autistic young people, mortality risk was significantly higher for those with a co-occurring intellectual disability (hazard ratio = 2.02; 95% confidence interval = 1.17–3.46). In this study, autism was associated with higher mortality in children and young people compared to the non-Autistic population. Increased efforts are required to better meet the health needs of this population. Existing literature indicates that Autistic people have shorter life expectancy, but little is known about the mortality risk among Autistic children and young people (0–24 years). We used a 15-year nationwide birth cohort study to estimate the mortality risk among Autistic children and young people in Aotearoa/New Zealand. The study included 895,707 children and 11,919 (1.4%) were Autistic. We found that autism was associated with a significantly higher mortality risk compared to the non-Autistic population. In addition, we found that this risk was significantly higher among females compared to males and for those with a co-occurring intellectual disability. Increased efforts are required to better meet the health needs of this population. [ABSTRACT FROM AUTHOR]

DesignThis is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador.ParticipantsThe study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or dementia, out of which 272 individuals (mean age = 75 years; 164 female) presenting specific medical conditions were selected for analysis.MeasurementsData were collected on demographics, medical history, and neuropsychological assessment using the Neuropsi scale. Conditions such as Type 2 Diabetes Mellitus, hypertension, obesity, and history of traumatic brain injury were specifically noted.ResultsLatent Class Analysis identified three distinct classes of patients: Unspecified Cognitive Deterioration, Dementia, and MCI. The three-class model provided the best fit, revealing varied morbidity patterns and highlighting the influence of vascular and metabolic conditions on cognitive decline. Notably, similarities in hypertension and diabetes prevalence between Dementia and MCI classes suggested shared risk factors. The study also found no significant age differences between the classes, indicating that age alone might not be the primary determinant in the progression of cognitive decline.ConclusionsThe study underscores the complexity of dementia and MCI in an ageing Ecuadorian population, with vascular health playing a crucial role in cognitive impairment. These findings advocate for a holistic approach in managing dementia and MCI, emphasising the importance of addressing cardiovascular and metabolic health alongside neurocognitive care. The distinct morbidity patterns identified offer insights into tailored intervention strategies, highlighting the need for comprehensive, multidisciplinary care in dementia management.

Objective: To determine the demographic and clinical characteristics of children followed up with the diagnosis of autism spectrum disorder (ASD) at a tertiary center in Southeeast Turkey. Methods: Children followed up with the diagnosis of ASD at a university hospital child psychiatry clinic between June 2016 and June 2021 were evaluated retrospectively for comorbidities, intellectual functioning and age at diagnosis. Results: In the preschool group, females displayed significantly more frequent cognitive developmental delay. Median age at diagnosis was 36 months (IQR= 22) regardless of gender. Approximately three-fourth (73.7%) of the cases had at least one psychiatric comorbid disorder while 22.8% had at least one medical diagnosis. Psychiatric comorbidity was found to be associated with later diagnosis. Conclusion: Although the age at first diagnosis in this study is relatively earlier than the studies in the literature, most of the children with ASD are still diagnosed very late. Psychiatric comorbidities may lead to later diagnosis due to overshadowing. Training of educational and primary healthcare workers on symptoms of ASD may enable earlier diagnosis. [ABSTRACT FROM AUTHOR]

Preoperative management requires the identification and optimization of modifiable medical comorbidities, though few studies isolate comorbid status from related patient-level variables. This study evaluates Charlson Comorbidity Index (CCI)—an easily derived measure of aggregate medical comorbidity—to predict outcomes from spinal fusion surgery. Coarsened exact matching is employed to control for key patient characteristics and isolate CCI. We retrospectively assessed 4680 consecutive patients undergoing single-level, posterior-only lumbar fusion at a single academic center. Logistic regression evaluated the univariate relationship between CCI and patient outcomes. Coarsened exact matching generated exact demographic matches between patients with high comorbid status (CCI >6) or no medical comorbidities (matched n = 524). Patients were matched 1:1 on factors associated with surgical outcomes, and outcomes were compared between matched cohorts. Primary outcomes included surgical complications, discharge status, 30- and 90-day risk of readmission, emergency department (ED) visits, reoperation, and mortality. Univariate regression of increasing CCI was significantly associated with non−home discharge, as well as 30- and 90-day readmission, ED visits, and mortality (all P < 0.05). Subsequent isolation of comorbidity between otherwise exact-matched cohorts found comorbid status did not affect readmissions, reoperations, or mortality; high CCI score was significantly associated with non−home discharge (OR = 2.50, P < 0.001) and 30-day (OR = 2.44, P = 0.02) and 90-day (OR = 2.29, P = 0.008) ED evaluation. Comorbidity, measured by CCI, did not increase the risk of readmission, reoperation, or mortality. Single-level, posterior lumbar fusions may be safe in appropriately selected patients regardless of comorbid status. Future studies should determine whether CCI can guide discharge planning and postoperative optimization. [ABSTRACT FROM AUTHOR]

Children are at risk of short- and long-term morbidity and mortality from COVID-19. We examine whether autistic children and children with mental health conditions have higher odds of underlying health conditions at high risk of severe disease from COVID-19. We use claims data from a national sample of Medicaid-enrolled children for the years 2008–2016. We examine (1) children with claims for autism and (2) a random sample of children covered by Medicaid, without autism claims but with mental health condition. The comparison group is a random sample of children without autism or any mental health condition. There were 888,487 autistic children, 423,397 with mental health conditions (but not autism or intellectual disability), and 932,625 children without autism or mental health condition. We found 29.5% of autistic children and 25.2% of children with mental health conditions had an underlying condition with high risk for severe illness from COVID, compared to 14.1% of children without these diagnoses. Autistic children had higher odds of having any underlying condition (odds ratio = 2.17; 99% confidence interval = 2.14–2.20), as did children with mental health conditions (odds ratio = 1.71; 99% confidence interval = 1.68–1.73), adjusting for basic demographic characteristics. Children with diagnoses of autism and mental health conditions may be at higher risk for severe COVID due to high-risk condition prevalence. Children are at risk of varying severity of illness and even death from COVID-19. We aim to determine whether autistic children or children with mental health conditions have more underlying health conditions that put people at risk of severe illness from COVID-19. We use data from a national sample of Medicaid-enrolled children for the years 2008–2016. These data include children across the 50 states and the District of Columbia. We compare the prevalence of underlying conditions among autistic children and children with mental health condition to that of other children in Medicaid. This study included 888,487 autistic children, 423,397 with any mental health condition (but not autism), and 932,625 children without any of these diagnoses. We found 29.5% of autistic children and 25.2% of children with mental health conditions had an underlying condition with high risk for severe illness from COVID, compared to 14.1% of children without these diagnoses. Autistic children had over twice the odds of having any underlying conditions, when accounting for age, race, sex, and other characteristics. Children with mental health conditions had 70% higher odds of having these underlying conditions. Mitigation measures in schools and other areas could minimize risk of short- and long-term impacts from COVID for autistic and all children. [ABSTRACT FROM AUTHOR]

Hoarding behaviors are positively associated with medical morbidity, however, current prevalence estimates and types of medical conditions associated with hoarding vary. This analysis aims to quantify the medical morbidity of hoarding disorder (HD). Cross-sectional data were collected online using the Brain Health Registry (BHR). Among 20,745 participants who completed the Hoarding and Clutter and Medical History thematic modules, 1348 had HD (6.5%), 1268 had subclinical HD (6.1%), and 18,829 did not meet hoarding criteria (87.4%). Individuals with HD were more likely to report a lifetime history of cardiovascular/metabolic conditions: diabetes (HD adjusted odds ratio (AOR):1.51, 95% confidence interval (CI):[1.20, 1.91]; subclinical HD AOR:1.24, 95% CI:[0.95, 1.61]), and hypercholesterolemia (HD AOR:1.24, 95% CI:[1.06, 1.46]; subclinical HD AOR:1.11, 95% CI:[0.94, 1.31]). Those with HD and subclinical HD were also more to report chronic pain (HD AOR: 1.69, 95% CI:[1.44, 1.98]; subclinical HD AOR: 1.44, 95% CI:[1.22, 1.69]), and sleep apnea (HD AOR: 1.58, 95% CI:[1.31, 1.89]; subclinical HD AOR:1.30, 95% CI:[1.07, 1.58]) than non-HD participants. For most conditions, likelihood of diagnosis did not differ between HD and subclinical HD. Structural equation modeling revealed that more severe hoarding symptomatology was independently associated with increased cardiovascular/metabolic vulnerability. The assessment and management of medical complications in individuals with HD is a fundamental component in improving quality of life, longevity, and overall physical health outcomes.

BackgroundBreast cancer is prevalent and has high cure rates. The resultant increase in numbers of breast cancer survivors (BCS) may overwhelm the current oncology workforce in years to come. We postulate that primary care physicians (PCPs) could play an expanded role in comanaging survivors, provided they are given the appropriate tools and training to do so.ObjectiveTo explore the perspectives of PCPs towards managing BCS in a community-based shared-care programme with oncologists.MethodsEleven focus groups and six in-depth interviews were conducted with seventy PCPs recruited by purposive sampling. All sessions were audio-recorded, transcribed verbatim and coded by three independent investigators. Thematic data analysis was performed and the coding process facilitated by NVivo 12.ResultsMajority of PCPs reported currently limited roles in managing acute and non-cancer issues, optimizing comorbidities and preventive care. PCPs aspired to expand their role to include cancer surveillance, risk assessment and addressing unmet psychosocial needs. PCPs preferred to harmonize cancer survivorship management of their primary care patients who are also BCS, with defined role distinct from oncologists. Training to understand the care protocol, enhancement of communication skills, confidence and trust were deemed necessary. PCPs proposed selection criteria of BCS and adequacy of their medical information; increased consultation time; contact details and timely access to oncologists (if needed) in the shared-care programme.ConclusionsPCPs were willing to share the care of BCS with oncologists but recommended role definition, training, clinical protocol, resources and access to oncologist's consultation to optimize the programme implementation.

ObjectiveShortened life expectancy of people with mental disorders has been attributed to medical comorbidities, yet these conditions remain under-recognized and under-treated. This study characterizes the medical demands placed on inpatient psychiatric units to help guide medical assessment and management practices in these settings.MethodsMedicaid claims records and clinician data were linked with hospital and regional data for individuals with a principal diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. A modified Elixhauser Comorbidity Index (ECI) score was calculated for each unique individual (n = 14,458). Adjusted odds ratios (AORs) of having a medical comorbidity were calculated using logistic regression analyses.Results74.9% of psychiatric inpatients had at least one medical comorbidity, including 57.5% of people ages 18-24. Higher rates of medical comorbidity were associated with older age, female gender, non-schizophrenia diagnoses, and engagement in care prior to hospitalization. Patients with medical comorbidities had lower odds (AOR 0.54; 99% CI 0.35-0.83) of being treated in hospitals with 100 or more total beds compared to smaller hospitals.ConclusionsA high prevalence of common medical diagnoses among psychiatric inpatients underscores the importance of adequate detection and medical treatment of medical comorbidities in psychiatric inpatient settings.

Patients with psychotic disorders have increased rates of medical comorbidities. In this cross-sectional study, we investigated the relationship between antipsychotics and medical comorbidities among patients with psychotic disorders in an urban psychiatry clinic in Atlanta, Georgia (n = 860). Each antipsychotic group was compared to a group of patients from the same sample who were not on any antipsychotic, and logistic regression models were constructed for each comorbidity. Ziprasidone was associated with diabetes (aOR 2.56, 95% CI 1.03–6.38) and obesity (aOR 3.19, 95% CI 1.37–7.41). Aripiprazole was associated with obesity (aOR 2.39, 95% CI 1.27–4.51). Clozapine was associated with GERD (aOR 3.59, 95% CI 1.11–11.61), movement disorders (aOR 4.44, 95% CI 1.02–19.32), and arrythmias (4.89, 95% CI 1.44–16.64). Two antipsychotics that are considered weight neutral, ziprasidone and aripiprazole, were associated with cardiometabolic comorbidities. This study suggests that research is warranted to study the association between antipsychotics, medical comorbidity, and psychotic symptom burden. [ABSTRACT FROM AUTHOR]

A low protein diet (LPD) for chronic kidney disease (CKD) is a core dietary therapy to slow CKD progression. A study showed depressive symptoms are more common in populations with an LPD. In this cross-sectional study, we evaluated depressive symptoms and health-related quality of life (HRQOL) in patients with CKD. A total of 571 CKD patients were enrolled in this study. The LPD was defined with dietary protein intake ≤0.8 g/kg/day. We divided the CKD into mild CKD and advanced CKD according to severity, as well as diabetic kidney disease (DKD) and non-DKD according to DM. The logistic regression analysis was performed to evaluate the association between an LPD and depressive symptoms as well as HRQOL in CKD patients and each subgroup. An LPD had significantly higher unadjusted Odds Ratio (OR) (1.81, [95% for Confidence Interval (CI), 1.18–2.76]) and multivariate-adjusted OR (1.80, [1.15–2.81]) for depressive symptoms. Moreover, an LPD showed significantly higher unadjusted OR (2.08, 1.44–3.01]) and multivariate OR (2.04, [1.38–3.02]) for poor HRQOL. In DKD subgroups, an LPD had a significant increase in unadjusted OR (2.00, [1.12–3.57]) and multivariate OR (1.99, [1.01–3.44]) for depressive symptoms. The advanced CKD group also showed that an LPD had significantly higher unadjusted OR (1.97, [1.13–3.42]) and multivariate OR (2.03, [1.12–3.73]) for depressive symptoms. An LPD for CKD patients was significantly associated with depressive symptoms and poor HRQOL. Subgroup analysis indicated that DKD and advanced CKD are more predisposed to depressive symptoms and poor HRQOL. [ABSTRACT FROM AUTHOR]

Background: Down Syndrome (DS) is one of the most common genetic anomalies observed in approximately one out of 700 live births, which occurs as a result of an excess of chromosome 21 (trisomy 21). Cognitive development in DS children is generally in the range of moderate to severe retardation, and mental age is rarely above eight years. The aim of this study is to investigate the neurodevelopmental characteristics of children with DS between the ages of 1-6 years and their relationship with comorbid medical pathologies. Materials and Methods: A total of 83 DS children who applied to the child and adolescent mental health outpatient unit, were included in the study, and the relationships between sociodemographic and medical histories and neurodevelopmental characteristics were analyzed. Denver II Developmental Screening Test was used to evaluate their development. Four areas were evaluated: gross motor development, fine motor development, language-cognitive development and personal-social development. Results: The rates of medical comorbidities in children with DS was 75.9% (38 had heart problems, 17 had thyroid dysfunction, and 8 had epilepsy). There was no statistically significant difference between genders in terms of Denver II Developmental Screening Test scores. Children with hypothyroidism have significantly lower Denver II Developmental Screening Test scores in all domains. Other medical comorbidities did not have a significant effect on Denver II Developmental Screening Test scores. Conclusions: Concomitant medical diseases in children with DS may affect the development of the child. Therefore, early diagnosis and treatment of these conditions is essential. Due to the negative effects of hypothyroidism on the development of children, care should be taken in the treatment and close follow-up of these children. [ABSTRACT FROM AUTHOR]

Background: Depression is a disease that is commonly accompanied by elderly chronic kidney disease (CKD) patients, but when the two diseases are accompanied, etiology or combination are not well known. We aimed to evaluate the etiology of CKD and comorbid depression by investigating bone disorders that are observed in persons affected by both CKD and depression.Methods: We conducted a cross-sectional study with a total of 646 patients with CKD. We compared the sociodemographic factors, kidney function, markers for CKD-Mineral and Bone Disorder (CKD-MBD) and bone mineral density according to the depressive symptoms. We conducted a univariate and multivariate logistic regression analysis to calculate odd ratios (95 % confidence interval) between depressive symptoms and low bone mineral density.Results: Individuals with CKD and depressive symptoms were associated with lower level of education attained, living alone, exercising less, low 24-hour urine phosphorus, and low bone density. Depressive symptoms were significantly associated with low bone density in lowest parts (1.55 [1.06-2.29]) and in total hip (1.72 [1.17-2.53]) even after adjusting for diabetes mellitus, hypertension, kidney function, proteinuria, age, sex, smoking, and body mass index.Limitations: A cross-sectional design was used in this study and the bone biopsy for diagnosis of CKD-MBD was not done because of invasiveness and practical difficulties.Conclusion: Low bone density was associated with depressive symptoms in elderly patients with non-dialysis chronic kidney disease. [ABSTRACT FROM AUTHOR]

Objective: We aimed to evaluate the prevalence, clinical determinants, and consequences (falls and hospitalization) of frailty in older adults with mental illness.Design: Retrospective clinical cohort study.Setting: We collected the data in a specialized psychogeriatric ward, in Boston, USA, between July 2018 and June 2019.Participants: Two hundred and fourty-four inpatients aged 65 years old and over.Measurements: Psychiatric diagnosis was based on a multi-professional consensus meeting according to DSM-5 criteria. Frailty was assessed according to two common instruments, that is, the FRAIL questionnaire and the deficit accumulation model (aka Frailty Index [FI]). Multiple linear regression analyses were conducted to evaluate the association between frailty and sample demographics (age, female sex, and non-Caucasian ethnicity) and clinical characteristics (dementia, number of clinical diseases, current infection, number of psychotropic, and non-psychotropic medications in use). Multiple regression between frailty assessments and either falls or number of hospital admissions in the last 6 and 12 months, respectively, were analyzed and adjusted for covariates.Results: Prevalence of frailty was high, that is, 83.6% according to the FI and 55.3% according to the FRAIL questionnaire. Age, the number of clinical (somatic) diseases, and the number of non-psychotropic medications were independently associated with frailty identified by the FRAIL. Dementia, current infection, the number of clinical (somatic) diseases, and the number of non-psychotropic medications were independently associated with frailty according to the FI. Falls were significantly associated with both frailty instruments. However, we found only a significant association for the number of hospital admissions with the FI.Conclusion: Frailty is highly prevalent among geriatric psychiatry inpatients. The FRAIL questionnaire and the FI may capture different forms of frailty dimensions, being the former probably more associated with the phenotype model and the latter more associated with multimorbidity. [ABSTRACT FROM AUTHOR]

Gastrointestinal distress is a prevalent issue in the autism spectrum disorder community, with implications for the person living with autism spectrum disorder and their families. However, the experiences of families caring for a child with co-occurring autism spectrum disorder and gastrointestinal symptoms have not been explored to date. We conducted one-on-one semi-structured interviews with 12 parents of children with co-occurring autism spectrum disorder and gastrointestinal symptoms. Using an inductive analysis approach, drawing on phenomenology, we identified four major themes across interviews. First, parents reported that their child had difficulty verbally communicating the presence of gastrointestinal symptoms, leading parents to rely on bodily signs and non-verbal behaviors to recognize when their child was experiencing gastrointestinal distress (Theme 1). Next, gastrointestinal issues impacted the child's well-being and the ability to participate in and fully engage in activities (Theme 2), and the family's well-being (Theme 3). Finally, parents often experienced challenges with seeking accessible and quality healthcare for their child's gastrointestinal problems (Theme 4). These findings elucidate the incredible toll that gastrointestinal symptoms have on the overall wellness of children with autism spectrum disorder and their families. Gastrointestinal problems are common in the autism spectrum disorder community and may affect both the person with autism spectrum disorder and their families. However, little research is available on the experiences of families who have a child with both autism spectrum disorder and gastrointestinal symptoms. We held one-on-one interviews with 12 parents of children who had both autism spectrum disorder and gastrointestinal symptoms. We analyzed the raw text responses from these interviews and identified four main themes. First, parents shared that their children had trouble verbally communicating when they were experiencing gastrointestinal symptoms (Theme 1). This led parents to use bodily signs, such as changes in the stool, and non-verbal behaviors, such as irritability, to recognize when their child was having gastrointestinal symptoms. Next, gastrointestinal issues affected both the child's well-being and their ability to attend class and extracurricular or social activities (Theme 2). The gastrointestinal issues also affected the family's routines, overall well-being, and their ability to go out and do activities together as a family (Theme 3). Finally, parents often had challenges receiving accessible and quality healthcare for their child's gastrointestinal problems (Theme 4). Together, these findings highlight the enormous burden that gastrointestinal symptoms have on the wellness of children with autism spectrum disorder and their families. [ABSTRACT FROM AUTHOR]

Abstract Background Insomnia is common in people with long-term medical conditions and is related to increased mortality and morbidity. Cognitive behavioral therapy for insomnia (CBT-I) is first choice treatment and effective for people with insomnia and comorbid long-term medical conditions. However, CBT-I has some limitations as it might not always be available or appeal to patients with medical conditions. Furthermore, a small proportion of patients do not respond to CBT-I. Preliminary evidence and clinical experience suggest that low-dose amitriptyline (AM) might be an effective alternative to treat insomnia in patients with medical comorbidity. In this randomized controlled trial, we will determine whether AM is non-inferior to the first choice treatment for insomnia, CBT-I. Methods/design This study will test if treatment with low-dose amitriptyline for insomnia in patients with medical comorbidity is non-inferior to CBT-I in a multicenter randomized controlled non-inferiority trial. Participants will be 190 adults with a long-term medical condition and insomnia. Participants will be randomly allocated to one of two intervention arms: 12 weeks AM (starting with 10 mg per day, and if ineffective at 3 weeks, doubling this dose) or 12 weeks of CBT-I consisting of 6 weekly sessions and a follow-up session 6 weeks later. The primary outcome is subjective insomnia severity, measured with the Insomnia Severity Index (ISI). The primary endpoint is at 12 weeks. Secondary outcomes include sleep quality (e.g., sleep efficiency), questionnaires on daytime functioning (physical functioning and impairment of functioning), and symptoms (e.g., fatigue, pain, anxiety) at 12 weeks and 12 months post treatment and relapse of insomnia until 12 months after treatment. Discussion Irrespective of the outcome, this study will be a much-needed contribution to evidence based clinical guidelines on the treatment of insomnia in patients with medical comorbidity. Trial registration Dutch Trial Register NTR NL7971 . Registered on 18 August 2019

Objective: Medical comorbidities are prevalent in patients with bipolar disorder. Evaluating longitudinal trends of the incidence of medical illnesses enables implementation of early prevention strategies to reduce the high mortality rate in this at-risk population. However, the incidence risks of medical illnesses in the early stages of bipolar disorder remain unclear. This study investigated the incidence and 5-year trend of medical illnesses following bipolar disorder diagnosis. Methods: We identified 11,884 patients aged 13–40 years who were newly diagnosed as having bipolar disorder during 1996–2012 and 47,536 age- and sex-matched controls (1:4 ratio) who represented the general population from Taiwan's National Health Insurance Research Database. We estimated the prevalence and incidence of individual medical illnesses yearly across the first 5 years after the index date. The adjusted incidence rate ratio was calculated to compare the occurrence of specific medical illnesses each year between the bipolar disorder group and control group using the Poisson regression model. Results: Apart from the prevalence, the adjusted incidence rate ratios of most medical illnesses were >1.00 across the first 5-year period after bipolar disorder diagnosis. Cerebrovascular diseases, ischaemic heart disease, congestive heart failure, other forms of heart disease, renal disease and human immunodeficiency virus infection exhibited the highest adjusted incidence rate ratios during the first year. Except for that of renal disease, the 5-year trends of the adjusted incidence rate ratios decreased for cerebrovascular diseases, cardiovascular diseases (e.g. ischaemic heart disease, other forms of heart disease, and vein and lymphatic disease), gastrointestinal diseases (e.g. chronic hepatic disease and ulcer disease) and communicable diseases (e.g. human immunodeficiency virus infection, upper respiratory tract infection and pneumonia). Conclusion: Incidence risks of medical illnesses are increased in the first year after bipolar disorder diagnosis. Clinicians must carefully evaluate medical illnesses during this period because the mortality rates from medical illnesses are particularly high in people with bipolar disorder. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine the odds associated with having medical comorbidities among patients with serious mental illness (SMI) in a large integrated health system.MethodIn a secondary analysis of electronic health record data, this study identified 25,090 patients with an ICD-9 SMI diagnosis of bipolar disorder (n=20,308) or schizophrenia (n=4782) and 25,090 controls who did not have a SMI, matched on age, gender, and medical home facility. Conditional logistic regressions compared the odds associated with having nine medical comorbidity categories and fifteen chronic or serious conditions among patients with SMI versus controls.ResultsResults showed having a SMI was associated with significantly higher odds of each medical comorbidity examined (p's1.5 times the odds of each condition (p's

ObjectivesWe examined prevalence of major medical conditions and extent of disease burden among patients with and without substance use disorders (SUDs) in an integrated health care system serving 3.8 million members.MethodsMedical conditions and SUDs were extracted from electronic health records in 2010. Patients with SUDs (n = 45,461; alcohol, amphetamine, barbiturate, cocaine, hallucinogen, and opioid) and demographically matched patients without SUDs (n = 45,461) were compared on the prevalence of 19 major medical conditions. Disease burden was measured as a function of 10-year mortality risk using the Charlson Comorbidity Index. P-values were adjusted using Hochberg's correction for multiple-inference testing within each medical condition category.ResultsThe most frequently diagnosed SUDs in 2010 were alcohol (57.6%), cannabis (14.9%), and opioid (12.9%). Patients with these SUDs had higher prevalence of major medical conditions than non-SUD patients (alcohol use disorders, 85.3% vs 55.3%; cannabis use disorders, 41.9% vs 23.0%; and opioid use disorders, 44.9% vs 26.1%; all P

This study evaluated the comorbidity rates of autism spectrum disorder (ASD) with functional neurological disorders (FNDs). A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A subset of data was suitable for meta-analysis of proportions. Studies which assessed either the prevalence of ASD in patients with FNDs, or the prevalence of FNDs in patients with ASD were considered. Critical appraisal was conducted using Joanna Briggs Institute Critical Appraisal Tools. Fourteen studies met the inclusion criteria. Three cross-sectional studies which reported the comorbidity of ASD among children presenting with functional seizures met inclusion for meta-analysis. The pooled comorbidity rate of ASD in this group was 10.26% [3.92, 18.95], with an I2 value of 81%, indicating significant heterogeneity between studies. Most included studies (n = 5) reported on the rates of Somatic Symptom Disorders in adults with ASD. Comorbidity rates were also reported for ASD with Functional Motor Disorders and for mixed FND cohorts. Critical appraisal indicated that studies were underpowered, did not match cases with controls and failed to account for confounding factors. Identifying ASD and FND comorbidity may guide treatment options and reduce the risks of unnecessary medical investigations.Autism spectrum disorder (ASD) and functional neurological disorders (FND) are relatively common conditions, and there has been recent interest in the overlap between them. Both conditions share core features of alexithymia, impaired interoception and deficits in attentional focus. To date, relatively little is known about the comorbidity rates between ASD and FND. This is the first meta-analysis and qualitative synthesis on the subject. We found that around 10% of children presenting with functional seizures have a comorbid ASD diagnosis. People with ASD are more likely than the neurotypical population to have functional somatic disorders, and there is also evidence that ASD rates are higher for other FNDs such as functional motor disorders. Since FND comes with risks of unnecessary medical procedures and investigations, it is important to recognize the potential for people with ASD to have an FND comorbidity. [ABSTRACT FROM AUTHOR]

Abstract Background Patients with schizophrenia and related disorders (SRD) are more predisposed to having cardiovascular risk factors (CVRFs) compared to the general population due to a combination of lifestyle factors and exposure to antipsychotic medications. We aimed to analyse the documentation practices of CVRFs by general practitioners (GPs) and its associations with patient variables in a sample of persons with SRD. Methods An observational, cross-sectional study was conducted in 13 primary care centres (PCCs) in Malaga (Spain). The population comprised all patients with SRD who were in contact with a GP residing in the study area. The number of CVRFs (type 2 diabetes mellitus, hypertension, hypercholesterolaemia, obesity and smoking) recorded by GPs were analysed by considering patients’ demographic and clinical variables and use of primary care services. We performed descriptive, bivariate and multivariate regression analyses. Results A total of 494 patients were included; CVRFs were not recorded in 59.7% of the patients. One CVRF was recorded in 42.1% of patients and two or more CVRFs were recorded in 16.1% of patients. Older age, living in an urban area and a higher number of visits to the GP were associated with a higher number of CVRFs recorded. Conclusion The main finding in this study is that both patients’ demographic variables as well as use of primary care services were found to be related to the documentation of CVRFs in patients with SRD by GPs.

Background: Insomnia is common in people with long-term medical conditions and is related to increased mortality and morbidity. Cognitive behavioral therapy for insomnia (CBT-I) is first choice treatment and effective for people with insomnia and comorbid long-term medical conditions. However, CBT-I has some limitations as it might not always be available or appeal to patients with medical conditions. Furthermore, a small proportion of patients do not respond to CBT-I. Preliminary evidence and clinical experience suggest that low-dose amitriptyline (AM) might be an effective alternative to treat insomnia in patients with medical comorbidity. In this randomized controlled trial, we will determine whether AM is non-inferior to the first choice treatment for insomnia, CBT-I.Methods/design: This study will test if treatment with low-dose amitriptyline for insomnia in patients with medical comorbidity is non-inferior to CBT-I in a multicenter randomized controlled non-inferiority trial. Participants will be 190 adults with a long-term medical condition and insomnia. Participants will be randomly allocated to one of two intervention arms: 12 weeks AM (starting with 10 mg per day, and if ineffective at 3 weeks, doubling this dose) or 12 weeks of CBT-I consisting of 6 weekly sessions and a follow-up session 6 weeks later. The primary outcome is subjective insomnia severity, measured with the Insomnia Severity Index (ISI). The primary endpoint is at 12 weeks. Secondary outcomes include sleep quality (e.g., sleep efficiency), questionnaires on daytime functioning (physical functioning and impairment of functioning), and symptoms (e.g., fatigue, pain, anxiety) at 12 weeks and 12 months post treatment and relapse of insomnia until 12 months after treatment.Discussion: Irrespective of the outcome, this study will be a much-needed contribution to evidence based clinical guidelines on the treatment of insomnia in patients with medical comorbidity.Trial Registration: Dutch Trial Register NTR NL7971 . Registered on 18 August 2019. [ABSTRACT FROM AUTHOR]

ObjectiveAnxiety is linked to a number of medical conditions, yet few studies have examined how symptom severity relates to medical comorbidity.PurposeThe current study assessed associations between severity of anxiety and depression and the presence of medical conditions in adults diagnosed with anxiety disorders.MethodNine-hundred eighty-nine patients diagnosed with panic, generalized anxiety, social anxiety, and posttraumatic stress disorders reported on the severity of anxiety and depressive symptoms and on diagnoses of 11 medical conditions.ResultsSeverity of anxiety and depressive symptoms was strongly associated with having more medical conditions over and above control variables, and the association was as strong as that between BMI and disease. Odds of having asthma, heart disease, back problems, ulcer, migraine headache and eyesight difficulties also increased as anxiety and depressive symptom severity increased. Anxiety symptoms were independently associated with ulcer, whereas depressive symptoms were independently associated with heart disease, migraine, and eyesight difficulties.ConclusionsThese findings add to a growing body of research linking anxiety disorders with physical health problems and indicate that anxiety and depressive symptoms deserve greater attention in their association with disease.

Background: Pre-existing conditions interfere with cancer diagnosis by offering diagnostic alternatives, competing for clinical attention or through patient surveillance.Objective: To investigate associations between oesophagogastric cancer stage and pre-existing conditions.Methods: Retrospective cohort study using Clinical Practice Research Datalink (CPRD) data, with English cancer registry linkage. Participants aged ≥40 years had consulted primary care in the year before their incident diagnosis of oesophagogastric cancer in 01/01/2010-31/12/2015. CPRD records pre-diagnosis were searched for codes denoting clinical features of oesophagogastric cancer and for pre-existing conditions, including those providing plausible diagnostic alternatives for those features. Logistic regression analysed associations between stage and multimorbidity (≥2 conditions; reference category: no multimorbidity) and having 'diagnostic alternative(s)', controlling for age, sex, deprivation and cancer site.Results: Of 2444 participants provided, 695 (28%) were excluded for missing stage, leaving 1749 for analysis (1265/1749, 72.3% had advanced-stage disease). Multimorbidity was associated with stage [odds ratio 0.63, 95% confidence interval (CI) 0.47-0.85, P = 0.002], with moderate evidence of an interaction term with sex (1.76, 1.08-2.86, P = 0.024). There was no association between alternative explanations and stage (odds ratio 1.18, 95% CI 0.87-1.60, P = 0.278).Conclusions: In men, multimorbidity is associated with a reduced chance of advanced-stage oesophagogastric cancer, to levels seen collectively for women. [ABSTRACT FROM AUTHOR]

Background: Sleep is crucial to human's health and essential for a person's wellbeing. It is involved in multiple physiological mechanisms, such as metabolism, appetite regulation, immune and hormone function, and cardiovascular systems. The National Sleep Foundation recommends 7–9 h of sleep each night for adults. Short (

Introduction Patients with severe mental illness die 10-20 younger from general population. In addition to suicide, preventable physical diseases cause most deaths. The mental illness itself and stigma keep the patients from adequate treatment for physical ilnesses. Objectives We aimed to investigate medical consultations for inpatients with severe mental illnes. Methods We retrospectively evaluated medical records of patients diagnosed by schizophrenia, schizoaffective disorders, bipolar disorder, and depression between 1st Februrary 2018 and 30th January 2020. We excluded routine consultations before electroconvulsive treatment. Local ethichs committee approved the study. Results Among total 475 consultations, %41.3 (n=196) was for male, and %58.7 (n=279) was for female patients. Mean age and standart deviation were 48.9 ± 13.9 for male, and 50.1 ± 13.7 for female (p>0.05). Comparing sexes oin terms of primer psychiatric diagnoses, the higher proportion was psychotic disorders for male, and for female it was mood disorders (p

While an increasing number of girls and women are being identified with autism, we know little about the health of reproductive-aged autistic women. Our objectives were to (1) describe health characteristics of reproductive-aged autistic women who could potentially become pregnant and (2) compare these characteristics with those of non-autistic women. We conducted a population-based cross-sectional study using 2017–2018 administrative health data from Ontario, Canada. A total of 6,870 fifteen- to 44-year-old autistic women were identified and compared with 2,686,160 non-autistic women. Variables of interest included social determinants of health (neighborhood income, residential instability, material deprivation, rurality), health (co-occurring medical and psychiatric conditions, use of potentially teratogenic medications, history of assault), and health care factors (continuity of primary care). Overall, reproductive-aged autistic women had poorer health compared with non-autistic women, including increased rates of material deprivation, chronic medical conditions, psychiatric conditions, use of potentially teratogenic medications, and history of assault. These findings highlight the need for health interventions tailored to the needs of reproductive-aged autistic women. While an increasing number of girls and women are being identified with autism, we know little about reproductive-aged autistic women's health. This study used administrative data from Ontario, Canada, to compare the health of reproductive-aged autistic women with non-autistic women. Overall, reproductive-aged autistic women had poorer health compared with non-autistic women, including increased rates of material deprivation, chronic medical conditions, psychiatric conditions, history of assault, and use of potentially teratogenic medications (i.e. drugs that can be harmful to the development of an embryo or fetus). These findings suggest that there is a need for health interventions tailored to the needs of reproductive-aged autistic women. [ABSTRACT FROM AUTHOR]

Objective: To compare the demographics and self‐reported medical comorbidities of patients with vulvar lichen sclerosus (VLS) with those of women with other vulvar conditions. Methods: Intake questionnaires for patients presenting to the University of Michigan Center for Vulvar Diseases between 1996 and 2019 were entered into a de‐identified database (n = 1983). Responses to questions about thyroid disease, urinary symptoms and signs, gastrointestinal conditions, and pain conditions were collected. Results: A total of 1983 women, including 865 patients with VLS and 1118 patients without VLS were enrolled. Pearson's χ2 analysis showed that age, hypertension, anorectal fissures, peptic ulcer disease/gastroesophageal reflux disease, urinary incontinence, fibromyalgia, thyroid disease, kidney problems, liver problems, and cancer were significantly associated with VLS when compared between the VLS and non‐VLS groups (P < 0.01). However, multiple regression analysis demonstrated that only age, thyroid disease, and anorectal fissures were strongly associated with VLS (P < 0.01). Conclusion: Increasing age, thyroid disease, and anorectal fissures were significantly associated with VLS. The association between anorectal fissures and VLS likely represents a sequela of the disease rather than a true comorbidity. Synopsis: Increasing age, thyroid disease, and anorectal fissures were significantly associated with vulvar lichen sclerosus. [ABSTRACT FROM AUTHOR]

Autistic individuals may be at risk of premature mortality, and physical health comorbidity increases this risk; however, most studies fail to include older autistic adults or consider lifestyle-related factors that affect health. We developed an anonymous, online physical health survey. The final sample included n = 2368 individuals (mean age = 41.42), and of these, n = 1156 were autistic individuals (mean age = 40.98). We utilized three sex-stratified statistical models to determine the prevalence of cancer, cardiovascular conditions, respiratory conditions, and diabetes. All three models indicate that autistic females are more likely to have cardiovascular conditions, respiratory conditions, asthma, low blood pressure, arrhythmias, and prediabetes than non-autistic females, and autistic males are more likely to have arrhythmias than non-autistic males; these results suggest that autistic individuals carry increased risks for these conditions when compared to the general population, even after controlling for age, ethnicity, education level, body mass index, smoking, and alcohol use. Further, these risks may differ depending on biological sex for autistic individuals. Autistic adults, and particularly autistic females, have greater and wider-ranging risks than previously thought, even after controlling for demographic and lifestyle-related factors. Although this is a large sample of autistic adults across the lifespan, future research should employ larger, population-based samples to confirm these findings. Previous research indicates autistic individuals die at a younger age than others and that this is possibly due in part to chronic physical health conditions. The present study used an anonymous, online survey to determine how common certain physical health conditions are among autistic adults, compared with non-autistic adults. We found autistic adults are more likely to develop heart conditions, lung conditions, and diabetes than non-autistic adults. Autistic females may be at higher risk of developing certain conditions (including respiratory conditions, asthma, and prediabetes) than autistic males. Finally, autistic individuals have increased health risks even when considering lifestyle factors (such as smoking, alcohol, and body mass index). This is still a relatively small study, and future research needs to confirm these findings and identify why these risks exist. [ABSTRACT FROM AUTHOR]

Individuals with autism spectrum disorder experience a significant number of co-occurring medical conditions, yet little is known about these conditions beyond prevalence. Using large-scale de-identified medical records, we can use a novel phecode-based tool to characterize co-occurring conditions in autism spectrum disorder. We hypothesized that individuals with autism spectrum disorder experience an increased burden of co-occurring conditions as measured by presence, frequency, and duration of visits related to co-occurring conditions. Secondarily, we hypothesized that age at first encounter for autism spectrum disorder (early, <5; late, >5) would be associated with different co-occurring conditions. The International Classification of Diseases, Ninth Revision, codes were extracted from a large anonymized electronic medical center database for 3097 individuals with autism spectrum disorder and 3097 matched controls. Co-occurring conditions were characterized using a novel tool (pyPheWAS) to examine presence, frequency, and duration of each condition. We identified several categories of co-occurring conditions in autism spectrum disorder: neurological (convulsions, sleep disorders); psychiatric (anxiety disorders, adjustment/conduct disorders), as well as constipation, hearing loss, and developmental delays. Our work confirms individuals with autism spectrum disorder are under a significant medical burden, with increased duration and frequency of visits associated with co-occurring conditions. Adequate management of these conditions could improve quality of life for individuals with autism spectrum disorder. People with autism spectrum disorder often have a number of other medical conditions in addition to autism. These can range from constipation to epilepsy. This study uses medical record data to understand how frequently and how long people with autism have to be seen by a medical professional for these other medical conditions. This study confirmed that people with autism often have a number of other medical conditions and that they have to go see a medical professional about those conditions often. We also looked to see if children diagnosed with autism after age 5 years might have different medical conditions compared to children diagnosed earlier. Children diagnosed later had more conditions like asthma, hearing loss, and mood disorders. This work describes how much medical care people with autism get for different medical conditions and the burden of seeking additional medical care for people with autism and their families. [ABSTRACT FROM AUTHOR]

Although epilepsy commonly presents with autism in children, it is currently unknown whether established estimates represent the prevalence and incidence of epilepsy in autistic adults. Our objective was to use population-level Medicaid data to determine prevalence, incidence, and antiepileptic drug use associated with epilepsy in a unique population of autistic adults aged 21+ with (N = 2738) and without (N = 4775) intellectual disability and to compare results to adults with intellectual disability alone (N = 18,429). We found that 34.6% of autistic adults with intellectual disability and 11.1% of autistic adults without intellectual disability had epilepsy, compared to 27.0% of adults with intellectual disability alone. New incidence of epilepsy was 23.6 incident cases per 1000 person years (95% confidence interval: 21.3, 26.2) in autistic adults with intellectual disability, 7.7 incident cases per 1000 person years (95% confidence interval: 6.6, 8.9) in autistic adults without intellectual disability, and 15.9 incident cases per 1000 person years (95% confidence interval: 15.2, 16.7) in adults with intellectual disability alone. Female sex and intellectual disability were associated with increased risk of prevalent and incident epilepsy in autistic adults. Findings underscore the importance of treating prevalent epilepsy and screening and preventing incident epilepsy in autistic adults as they age. Epilepsy is more common in autistic children compared to children without autism, but we do not have good estimates of how many autistic adults have epilepsy. We used data from a full population of 7513 autistic adults who received Medicaid in Wisconsin to figure out the proportion of autistic adults who have epilepsy, as compared to 18,429 adults with intellectual disability. We also wanted to assess how often epilepsy is first diagnosed in adulthood. Finally, we wanted to see whether antiepileptic drugs are being used to treat epilepsy in autistic adults. We found that 34.6% of autistic adults with intellectual disability and 11.1% of autistic adults without intellectual disability had epilepsy, compared to 27.0% of adults with intellectual disability alone. Autistic women and autistic adults with intellectual disability were more likely than autistic men and autistic adults without intellectual disability to have both previous and new diagnoses of epilepsy. Finally, we found that antiepileptic medications are commonly prescribed to autistic people who do not have epilepsy potentially to treat mental health conditions or behavior problems, and that antiepileptic medications are not always prescribed to autistic people with epilepsy even though they are indicated as a first-line epilepsy treatment. The findings of this study highlight the need to effectively treat and prevent epilepsy in autistic adults. [ABSTRACT FROM AUTHOR]

Background: The data concerning the association of smoking and obstructive sleep apnea (OSA) are limited. The effects of cigarette smoking on OSA still remain obscure.Objectives: To reveal the impact of smoking on obstructive sleep apnea.Methods: About 384 patients with the diagnosis of OSA through full night polysomnographic (PSG) examination were included to the study. The demographic data (age, sex and BMI), complaints and medical history, status of smoking as non-smokers and smokers, smoking frequency (cigarettes/day), polysomnograhic data comprising apnea hypopnea index (AHI), non-REM sleep AHI (NREM AHI), REM sleep AHI (REM AHI), minimum oxygen saturation (min SaO2) were recorded for all the subjects. Non-smokers and smokers were compared in terms of severity of OSA.Results: The study population consisted of 384 subjects, 253 males and 131 females. Smoking frequency was not found correlated with OSA severity. Among smokers, males had higher severe OSA rate (P = 0.002, P < 0.05). In subjects with BMI < 30, severe OSA rate was higher in smokers (34.44% versus 21%) (P = 0.027, P < 0.05).Conclusions: Our study detected higher rate of severe OSA in male smokers and smokers with BMI < 30. PSG data did not yield statistically significant difference in non-smokers and smokers. OSA severity was not found correlated with smoking frequency. Along with the study results, the impact of smoking on OSA is still controversial. Prospective studies with larger sample size may be contributive to further evaluation of the association of OSA with smoking. [ABSTRACT FROM AUTHOR]

Hoarding behaviors are positively associated with medical morbidity, however, current prevalence estimates and types of medical conditions associated with hoarding vary. This analysis aims to quantify the medical morbidity of hoarding disorder (HD). Cross-sectional data were collected online using the Brain Health Registry (BHR). Among 20,745 participants who completed the Hoarding and Clutter and Medical History thematic modules, 1348 had HD (6.5%), 1268 had subclinical HD (6.1%), and 18,829 did not meet hoarding criteria (87.4%). Individuals with HD were more likely to report a lifetime history of cardiovascular/metabolic conditions: diabetes (HD adjusted odds ratio (AOR):1.51, 95% confidence interval (CI):[1.20, 1.91]; subclinical HD AOR:1.24, 95% CI:[0.95, 1.61]), and hypercholesterolemia (HD AOR:1.24, 95% CI:[1.06, 1.46]; subclinical HD AOR:1.11, 95% CI:[0.94, 1.31]). Those with HD and subclinical HD were also more to report chronic pain (HD AOR: 1.69, 95% CI:[1.44, 1.98]; subclinical HD AOR: 1.44, 95% CI:[1.22, 1.69]), and sleep apnea (HD AOR: 1.58, 95% CI:[1.31, 1.89]; subclinical HD AOR:1.30, 95% CI:[1.07, 1.58]) than non-HD participants. For most conditions, likelihood of diagnosis did not differ between HD and subclinical HD. Structural equation modeling revealed that more severe hoarding symptomatology was independently associated with increased cardiovascular/metabolic vulnerability. The assessment and management of medical complications in individuals with HD is a fundamental component in improving quality of life, longevity, and overall physical health outcomes. [ABSTRACT FROM AUTHOR]

Little is known about the extent to which the healthcare needs of autistic older adults with intellectual disability differ from autistic older adults without intellectual disability. We conducted a cross-sectional retrospective cohort study of Medicare claims data from 2016 to 2017 to compare the prevalence of physical and mental health conditions among autistic older adults (age 65+ years) with intellectual disability (N = 2054) to autistic older adults without intellectual disability (N = 2631). Medicare claims data consisted of records from inpatient hospitalizations and institutional outpatient visits (i.e. visits to hospital outpatient departments, rural health clinics, renal dialysis facilities, outpatient rehabilitation facilities, Federally Qualified Health Centers, and community mental health centers). Examination of the largest between-group differences revealed that autistic older adults with intellectual disability had 350% greater odds of epilepsy (odds ratio = 4.5, 95% confidence interval = 3.9–5.2), 170% greater odds of osteoporosis (odds ratio = 2.7, 95% confidence interval = 2.3–3.2), and 100% greater odds of gastrointestinal conditions (odds ratio = 2.0, 95% confidence interval = 1.8–2.2) but 80% lower odds of attention deficit disorders (odds ratio = 0.2, 95% confidence interval = 0.1–0.3), 70% lower odds of substance use disorders (odds ratio = 0.3, 95% confidence interval = 0.2–0.4), and 60% lower odds of suicidal ideation or intentional self-injury (odds ratio = 0.4, 95% confidence interval = 0.3–0.6). These findings highlight the importance of developing tailored health management strategies for the autistic older adult population as a function of intellectual disability status. Little is known about the extent to which the healthcare needs of autistic older adults with intellectual disability differ from autistic older adults without intellectual disability. Our study is the first, to our knowledge, to use US national data to compare physical and mental health conditions among autistic older adults with and without intellectual disability. The data analyzed in this study consisted of records from inpatient hospitalizations as well as "institutional outpatient" healthcare visits, which include visits to hospital outpatient departments, rural health clinics, renal dialysis facilities, outpatient rehabilitation facilities, Federally Qualified Health Centers, and community mental health centers. Autistic older adults with intellectual disability were significantly more likely to have thyroid disorders, epilepsy, respiratory infections, gastrointestinal conditions, osteoporosis, cognitive disorders, and schizophrenia/psychotic disorders. In contrast, autistic older adults without intellectual disability were significantly more likely to have obesity, diabetes, high blood pressure, cerebrovascular disease, chronic obstructive pulmonary disease, arthritis, back conditions, attention deficit disorders, substance use disorders, and suicidal ideation or intentional self-injury. These findings highlight the importance of developing distinct, tailored health management strategies for the autistic older adults with and without intellectual disability. [ABSTRACT FROM AUTHOR]

Background: Medical comorbidity is associated with worse psychiatric outcomes, reduced functioning and higher services use, including inpatient psychiatric care. Aim: We explored the relation between medical comorbidity and length of stay, adjusting for potential confounders. Methods: We retrospectively analyzed an administrative database comprising all inpatient admissions between 2005 and 2014 at the Department of Psychiatry and Mental Health at Vila Nova de Gaia/Espinho Healthcare Center, Vila Nova de Gaia – Portugal. Psychiatric diagnosis and medical comorbidity were coded according to single-level and multi-level classification schemes, respectively, as proposed by the Clinical Classification Software. Results: We included a total of 4613 psychiatric inpatient admissions. The prevalence of medical comorbidity was 25.4% and it was associated with an average increase of 3.5 days (p < 0.001) in length of stay, comparing to patients without medical comorbidity. After adjusting for potential confounders, such as age, sex and year of discharge, medical comorbidity was associated with a 13% increase in length of stay. Conclusions: Medical comorbidity has measurable effects in inpatient outcomes, such as the length of stay and should be a major focus for intervention, in ambulatory care but also during psychiatric hospitalization. [ABSTRACT FROM AUTHOR]

Background: Medical diseases and depression frequently co-occur, but it remains uncertain whether specific medical diseases or the disease load, affect the clinical course of depression.Methods: We identified all adults (≥18 years) at their first hospital-based diagnosis of unipolar depression in Denmark between 1996 and 2015. All medical hospital contacts since 1977 and all drug prescriptions during the previous year were identified. We followed patients for up to five years regarding hospital admissions with depression and performed adjusted Cox regression analyses calculating hazard rate ratios (HRR) including 95%-confidence intervals (CI) to test the association between medical diseases and depression admission following the index depressive episode.Results: Among 117,585 patients with depression (444,696 person-years follow-up), any prior medical hospital contact (N = 114,206; 97.1%) was associated with increased risks of admission for depression among individuals aged 18-30 (HRR=1.50; 95%CI=1.15-1.95), 31-65 (HRR=1.69; 95%CI=1.28-2.21), and >65 years (HRR=1.38; 95%CI=1.10-1.75), fitting a dose-response relationship (p<0.005) with increasing number of prior medical diseases among those aged <65. All specific medical diseases were associated with increased risks of admission for depression, particularly among individuals aged<65 (HRR ranging from 1.57 to 2.38). Drug prescriptions and medical hospital contacts in the year before the depression diagnosis were associated with reduced risks of admission.Conclusion: The medical load seems to be associated with an increased risk for depression admission, particularly among individuals aged <65. The lower risk for people in medical care during the previous year may indicate better compliance and care/treatment. [ABSTRACT FROM AUTHOR]

Shortened life expectancy of people with mental disorders has been attributed to medical comorbidities, yet these conditions remain under-recognized and under-treated. This study characterizes the medical demands placed on inpatient psychiatric units to help guide medical assessment and management practices in these settings. Medicaid claims records and clinician data were linked with hospital and regional data for individuals with a principal diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. A modified Elixhauser Comorbidity Index (ECI) score was calculated for each unique individual (n = 14,458). Adjusted odds ratios (AORs) of having a medical comorbidity were calculated using logistic regression analyses. 74.9% of psychiatric inpatients had at least one medical comorbidity, including 57.5% of people ages 18–24. Higher rates of medical comorbidity were associated with older age, female gender, non-schizophrenia diagnoses, and engagement in care prior to hospitalization. Patients with medical comorbidities had lower odds (AOR 0.54; 99% CI 0.35–0.83) of being treated in hospitals with 100 or more total beds compared to smaller hospitals. A high prevalence of common medical diagnoses among psychiatric inpatients underscores the importance of adequate detection and medical treatment of medical comorbidities in psychiatric inpatient settings. • 74.9% of psychiatric inpatients on Medicaid have at least one medical comorbidity. • Among psychiatric inpatients aged 18–24, 30% have 2 or more medical diagnoses. • HIV and pulmonary disease disproportionately affect younger psychiatric inpatients. • Women psychiatric inpatients have greater medical burden than men. • Hospitals with <100 beds are more likely to admit patients with medical diagnoses. [ABSTRACT FROM AUTHOR]

OBJECTIVES To investigate the association between depressive symptoms and several medical morbidities, and their combination, in a large older population. DESIGN Cross‐sectional study of baseline data from the ASPirin in Reducing Events in the Elderly (ASPREE) trial. SETTING Multicentric study conducted in Australia and the United States. PARTICIPANTS A total of 19,110 older adults (mean age = 75 years [standard deviation = ±4.5]). MEASUREMENTS Depressive symptoms were measured using the Center for Epidemiological Studies Depression (CES‐D 10) scale. Medical morbidities were defined according to condition‐specific methods. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to test associations before and after accounting for possible confounders. RESULTS: Depressive symptoms were significantly associated with obesity (OR = 1.19; 95% CI = 1.07‐1.32), diabetes (OR = 1.22; 95% CI = 1.05‐1.42), gastroesophageal reflux disease (GERD) (OR = 1.41; 95% CI = 1.28‐1.57), metabolic syndrome (OR = 1.16; 95% CI = 1.03‐1.29), osteoarthritis (OR = 1.41; 95% CI = 1.27‐1.57), respiratory conditions (OR = 1.25; 95% CI = 1.10‐1.42), history of cancer (OR = 1.19; 95% CI = 1.05‐1.34), Parkinson's disease (OR = 2.56; 95% CI = 1.83‐3.56), polypharmacy (OR = 1.60; 95% CI = 1.44‐1.79), and multimorbidity (OR = 1.29; 95% CI = 1.12‐1.49). No significant association was observed between depressive symptoms and hypertension, chronic kidney disease, dyslipidemia, and gout (P >.05). A significant dose‐response relationship was evident between the number of medical comorbidities and the prevalence of depression (OR = 1.18; 95% CI = 1.13‐1.22). CONCLUSION: Late‐life depressive symptoms are significantly associated with several medical morbidities, and there appears to be a cumulative effect of the number of somatic diseases on the prevalence of depression. These findings augment the evidence for a complex relationship between mental and physical health in an otherwise healthy older population and might guide clinicians toward early recognition of high‐risk individuals. J Am Geriatr Soc 68:1834‐1841, 2020. [ABSTRACT FROM AUTHOR]

Background: Multimorbidity is the presence of two or more chronic diseases and is associated with increased adverse outcomes, including hospitalization, mortality and frequency of use of medical institutions.Objective: This study aimed to describe multimorbidity patterns, determine whether multimorbidity was associated with high medical expenditure, and determine whether mental diseases had an interaction effect on this association.Methods: We conducted a claims data-based observational study. Data were obtained for 7526 individuals aged 0-75 years from a medical claims data set for Goto, Japan, over a 12-month period (2016-17). Annual medical expenditure was divided into quintiles; the fifth quintile represented high medical expenditure. Multimorbidity status was defined as the occurrence of two or more health conditions from 17 specified conditions. Odds ratios (OR) and 95% confidence intervals (CI) for high medical expenditure were calculated by number of comorbidities.Results: In total, 5423 (72.1%) participants had multimorbidity. Multimorbidity was significantly associated with high medical expenditure, even after adjustment for age, sex and income category (OR: 10.36, 95% CI: 7.57-14.19; P < 0.001). Mental diseases had a significant interaction effect on the association between multimorbidity and high medical expenditure (P = 0.001).Conclusions: Multimorbidity is associated with high medical expenditure in Japan. Mental diseases may contribute to increased medical costs. [ABSTRACT FROM AUTHOR]

Background: Patients with schizophrenia and related disorders (SRD) are more predisposed to having cardiovascular risk factors (CVRFs) compared to the general population due to a combination of lifestyle factors and exposure to antipsychotic medications. We aimed to analyse the documentation practices of CVRFs by general practitioners (GPs) and its associations with patient variables in a sample of persons with SRD. Methods: An observational, cross-sectional study was conducted in 13 primary care centres (PCCs) in Malaga (Spain). The population comprised all patients with SRD who were in contact with a GP residing in the study area. The number of CVRFs (type 2 diabetes mellitus, hypertension, hypercholesterolaemia, obesity and smoking) recorded by GPs were analysed by considering patients' demographic and clinical variables and use of primary care services. We performed descriptive, bivariate and multivariate regression analyses. Results: A total of 494 patients were included; CVRFs were not recorded in 59.7% of the patients. One CVRF was recorded in 42.1% of patients and two or more CVRFs were recorded in 16.1% of patients. Older age, living in an urban area and a higher number of visits to the GP were associated with a higher number of CVRFs recorded. Conclusion: The main finding in this study is that both patients' demographic variables as well as use of primary care services were found to be related to the documentation of CVRFs in patients with SRD by GPs. [ABSTRACT FROM AUTHOR]

While there is emerging evidence on the prevalence of physical and mental health conditions among autistic adults, less is known about this population's needs during older adulthood (aged 65+). We conducted a cross-sectional retrospective cohort study of 2016–2017 Medicare data to compare the prevalence of physical and mental health conditions in a national sample of autistic older adults (N = 4685) to a matched population comparison (N = 46,850) cohort. Autistic older adults had significantly greater odds of nearly all physical health conditions including epilepsy (odds ratio = 18.9; 95% confidence interval = 17.2–20.7), Parkinson's disease (odds ratio = 6.1; 95% confidence interval = 5.3–7.0), and gastrointestinal conditions (odds ratio = 5.2; 95% confidence interval = 4.9–5.5). Most mental health conditions were more common among autistic older adults, including schizophrenia and psychotic disorders (odds ratio = 25.3; 95% confidence interval = 22.4–28.7), attention deficit disorders (odds ratio = 24.4; 95% confidence interval = 16.2–31.0), personality disorders (odds ratio = 24.1; 95% confidence interval = 17.8–32.5), and suicidality or self-inflicted injury (odds ratio = 11.1; 95% confidence interval = 8.9–13.8). Health conditions commonly associated with advanced age in the general population (e.g. osteoporosis, cognitive disorders, heart disease, cancer, cerebrovascular disease, osteoarthritis) were also significantly more common among autistic older adults. By highlighting the significant physical and mental health needs for which autistic older adults require care, our findings can inform healthcare systems, healthcare providers, and public health initiatives seeking to promote well-being in this growing population. [ABSTRACT FROM AUTHOR]

Transition-age youth and young adults with autism spectrum disorder have complex healthcare needs, yet the current healthcare system is not equipped to adequately meet the needs of this growing population. Primary care providers lack training and confidence in caring for youth and young adults with autism spectrum disorder. The current study developed and tested an adaptation of the Extension for Community Healthcare Outcomes model to train and mentor primary care providers (n = 16) in best-practice care for transition-age youth and young adults with autism spectrum disorder. The Extension for Community Healthcare Outcomes Autism Transition program consisted of 12 weekly 1-h sessions connecting primary care providers to an interdisciplinary expert team via multipoint videoconferencing. Sessions included brief didactics, case-based learning, and guided practice. Measures of primary care provider self-efficacy, knowledge, and practice were administered pre- and post-training. Participants demonstrated significant improvements in self-efficacy regarding caring for youth/young adults with autism spectrum disorder and reported high satisfaction and changes in practice as a result of participation. By contrast, no significant improvements in knowledge or perceived barriers were observed. Overall, the results indicate that the model holds promise for improving primary care providers' confidence and interest in working with transition-age youth and young adults with autism spectrum disorder. However, further refinements may be helpful for enhancing scope and impact on practice. [ABSTRACT FROM AUTHOR]