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In autism spectrum disorder (ASD), medical conditions in infancy could be predictive markers for later ASD diagnosis. In this study, electronic medical records of 579 autistic individuals and 1897 matched controls prior to age 2 were analyzed for potential predictive conditions. Using a novel tool, the relative association of each condition in the autistic group was compared to the control group using logistic regressions across medical records. Generalized convulsive epilepsy, nystagmus, lack of normal physiological development, delayed milestones, and strabismus were more likely in those later diagnosed with ASD while perinatal jaundice was less likely to be associated. Lesser-known conditions, such as strabismus and nystagmus, may point to novel predictive co-occurring condition profiles which could improve screening practices for ASD.

BACKGROUND Treatment of early childhood caries (ECC) under general anaesthesia (GA) was the most common day surgical procedure performed for preschool children in Canada. Evidence with regard to the rate of repeat GA for dental care for Canadian Children is limited. AIM To determine the rate of repeat dental caries treatment performed under GA over a 10-year period and to assess the relationship between the frequency of repeat dental treatment under GA and medical comorbidities. DESIGN This was a retrospective assessment of the dental records of 973 children who required repeat dental treatment under GA over a 10-year period. The rate of repeat dental treatment under GA was calculated. A Chi-square analysis was performed to determine associations between medical comorbidities and the frequency of repeat dental treatment under GA. RESULTS The rate of repeat dental treatment under GA over a 10-year period was 10.8%. The yearly repeat rate and simple moving 5-year rate of repeat dental treatment under GA increased. Having a medical comorbidity was not associated with repeat dental treatment under GA. CONCLUSIONS The rate of repeat dental treatment under GA was consistent with the rates reported in the dental literature and increased over the 10-year period.

OBJECTIVES To describe sexual health behaviors, contraceptive use, and pregnancy risk among hospitalized female adolescents. METHODS We conducted a cross-sectional survey of hospitalized female patients aged 14 to 21 years at 2 academic medical centers to assess sexual health behaviors, contraceptive use, contraceptive counseling receipt, and factors associated with pregnancy complications (eg, diabetes, teratogenic exposure). We calculated the validated Pregnancy Risk Index (PRI) (number per 100 who will become pregnant in the next year). RESULTS Among 177 participants (mean age 16 years, SD 1.5), 75 (43%) were sexually active. At last vaginal sex, 65% reported condom use; 49%, reversible contraception; and 12%, long-acting reversible contraception (LARC). Past-year contraceptive counseling was reported by 73% of sexually active female participants and was associated with increased use of reversible (P = .001) and dual contraception (P = .03) but not LARC (P = .24). The mean PRI among all participants was 4.75. Nearly three-quarters (73%) had a medical comorbidity or teratogenic exposure. Those with teratogenic medication use had the lowest PRI of 0.32 (P < .05), with 88% using reversible contraception and 31% using LARC. CONCLUSIONS Hospitalized female adolescents had a PRI similar to that of adolescents in the general population. However, nearly three-quarters had a medical comorbidity and/or teratogenic exposure, which increased risk for pregnancy complications. Contraceptive counseling was associated with increased reversible and dual contraception use but not LARC use. Efforts to improve comprehensive contraceptive counseling, highlighting LARC, are critically needed in this population.

Introduction: The aim of this study was to describe the nature of regular medications taken by active comorbid scuba divers (having a declared medical comorbidity) and scuba divers and snorkellers who died following a diving incident. Methods: We undertook a retrospective, observational study from July to October, 2020. Data on 268 active comorbid divers were obtained through a 2013 survey of Divers Alert Network Asia-Pacific members. Data on 126 deceased scuba divers and 175 deceased snorkellers were obtained predominantly from 2001–2013 reports to Australian State Coronial Services. Results: The active comorbid divers were significantly older, less likely to be male, and more likely to be taking one or more medications than the two deceased subject groups (P < 0.001). Cardiovascular, endocrine and psychotropic medications accounted for 53.4%, 9.9% and 6.4% of all medications taken, respectively. Almost one tenth of the deceased divers took at least one psychotropic medication, a proportion significantly greater than the other groups (P = 0.01). Conclusions: Medication use among active comorbid divers is common which likely reflects their declared medical condition. Nevertheless, they appear to be diving relatively safely, often with conditions once thought to be absolute contradictions to scuba diving. The deceased divers took significantly more psychotropic medications. It is possible that their underlying psychological/psychiatric conditions rendered them more at risk of a diving incident. Increased vigilance for psychological conditions may need to be considered during diving medical examinations.

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.

ObjectiveTo provide nationally representative prevalence estimates of disability associated with prior head injury with loss of consciousness in the United States and to examine associations between prior head injury and disability.MethodsThis was a cross-sectional analysis of 7,390 participants ≥40 years of age in the 2011–2014 National Health and Nutrition Examination Surveys (NHANES). Head injury with loss of consciousness was assessed by self-report. Domains of disability were assessed with a standardized structured questionnaire and measured grip strength. Logistic and linear regression models adjusted for demographic, socioeconomic/behavioral, and medical comorbidity variables were used. Multiple imputation was used to account for missing covariate data.ResultsMean age of participants was 58 years; 53% were female; 71% were non-Hispanic White; and 16% had a history of head injury with loss of consciousness. Overall, participants with a history of head injury had higher prevalence of disability in at least 1 domain of functioning compared to individuals without head injury (47.4% vs 38.6%, p < 0.001), with the highest prevalence of disability in the domains of mobility and work productivity. In fully adjusted models, head injury was significantly positively associated with disability in all domains assessed on the standardized questionnaire (all p < 0.05). Participants with head injury had greater grip strength (all p < 0.05).ConclusionsWe found that 47.4% of individuals ≥40 years of age in the United States with a history of head injury are living with disability in at least 1 domain of functioning, corresponding to 11.4 million affected individuals. This significant burden of disability suggests that efforts are needed to improve functioning among individuals with head injury.

Objectives: To determine the prevalence, association of socio-demographic factors, medical comorbidities with delirium in alcohol dependence syndrome individuals hospitalized during the lockdown period. Design: 667 alcohol-dependent patients attending the institute of mental health, Hyderabad during the 1st phase of lockdown were studied retrospectively with the help of hospital records. Results: Out of 667 samples 266 individuals presented with delirium. There is no significance of sociodemographic factors on delirium except sex. There is a positive correlation between severity of dependence (r=0.26, p=0.000), number of drinks (r=0.271, p=0.000) per day, duration of intake of substance (r=0.137, p=0.000) with delirium. Individuals with medical comorbidity hypertension, both hypertension and diabetes have presented a greater number of delirium cases. Conclusion: Current lockdown scenario is the first time we had faced. We found a greater prevalence of delirium in alcohol dependence cases which is a threat to the health care system. Hence further research in risk factors involving delirium presentation is needed. Stringent rules to control alcohol dependence to avoid a similar situation in the future and effective management of health care facilities are needed. Keywords: Alcohol dependence syndrome, Prevalence, Delirium.

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. Lay abstract 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.

Objective There is a scarcity in tools to predict postpartum depression (PPD). We propose a machine learning framework for PPD risk prediction using data extracted from electronic health records (EHRs). Methods Two EHR datasets containing data on 15,197 women from 2015 to 2018 at a single site, and 53,972 women from 2004 to 2017 at multiple sites were used as development and validation sets, respectively, to construct the PPD risk prediction model. The primary outcome was a diagnosis of PPD within 1 year following childbirth. A framework of data extraction, processing, and machine learning was implemented to select a minimal list of features from the EHR datasets to ensure model performance and to enable future point-of-care risk prediction. Results The best-performing model uses from clinical features related to mental health history, medical comorbidity, obstetric complications, medication prescription orders, and patient demographic characteristics. The model performances as measured by area under the receiver operating characteristic curve (AUC) are 0.937 (95% CI 0.912 - 0.962) and 0.886 (95% CI 0.879-0.893) in the development and validation datasets, respectively. The model performances were consistent when tested using data ending at multiple time periods during pregnancy and at childbirth. Limitations The prevalence of PPD in the study data represented a treatment prevalence and is likely lower than the illness prevalence. Conclusions EHRs and machine learning offer the ability to identify women at risk for PPD early in their pregnancy. This may facilitate scalable and timely prevention and intervention, reducing negative outcomes and the associated burden.

Background: While comorbidity between mental disorders and physical illnesses is the rule rather than an exception, appraising the impact of comorbidity is challenging due to lack of consensus about how to define and measure the concept of comorbidity. Objective: The aim of the present evaluation was to appraise the prevalence and features of medical comorbidities among a group of native elderly schizophrenic patients. Methods: Geriatric unit of Razi psychiatric hospital was selected as the field of investigation and 168 elderly schizophrenic patients (≥65 years old), including 101 males and 67 females, who have been hospitalized there as chronic cases, were chosen as an accessible sample, and were surveyed with respect to existing comorbid medical disorders. Psychiatric diagnosis was based on ‘Diagnostic and Statistical Manual of Mental Disorders’, 5th edition (DSM-5), and the medical diagnosis was based on ‘International Classification of Diseases’, 10th edition. Results: As shown by the results, 89% (n=151) of elderly schizophrenic patients had some kind of registered physical co-morbidity, which was more significant than the frequency of medical comorbidities among native senior citizens. Amongst the listed co-morbidities, falls, hypertension and osteoarthritis were the most prevalent comorbidities with a frequency of around 48.8%, 44.6% and 39.2%, respectively. Hypertension, renal disease and malnutrition were significantly more prevalent among male patients (p Conclusion: In comparison with the native senior people, the rate of medical comorbidities, particularly diabetes, renal diseases and malnutrition, was significantly higher in elderly schizophrenic patients, a significant difference, was observed regarding physical comorbidities between male and female patients, which demands further methodical and gender-based studies for defining more appropriate care.

Background Co-morbidty of physical diseases increase the functional disability and mortality of psychiatric patients. The majority of causes attributed to psychiatric patients mortality are due to various co-morbid medical conditions. Screening and early intervention of these conditions in these froups of patients has paramount importance. However, there are limited studies on the comorbidity of physical and mental disorders among psychiatry patients in Ethiopia. Therefore, this study is meant to provide essential data for future interventions. Objective To assess the medical comorbidity among psychiatric patients treated at Jimma University Medical Center, Southwest Ethiopia Methods A five years retrospective review of hospital records was performed. Data were extracted using a structured template of data extraction on a wide range of potential factors. Multivariate logistic regression analysis was used to identify associated factors and significance was declared at P-value Result A total of 2117 patient charts were reviewed, and the prevalence of comorbid physical illness was 29.1 % with 95 % CI (27.30, 31.10). The most prevalent comorbid physical illnesses were infectious disease (33.9 %) and disease of the genitourinary system (25.3 %). In the multivariate analysis, age greater than 50, history of the previous admission, duration of psychiatric treatment, and anti-depressant significantly associated with medical comorbidity whereas, government employee and substance/psychiatric comorbidity were less likely associated with comorbid physical illness at p Conclusion A significant proportion of psychiatric patients suffering from comorbid physical illness. As a result, psychiatric patients need early detection and interventions for medical comorbid conditions.

Most hospitalized surgical patients have significant medical comorbidity and are treated with a considerable number of drugs and/or experience significant complications. Shared care (SC) is the shared responsibility and authority in managing hospitalized patients. In this article, we discuss whether patients should be selected for SC or not. The various selection criteria are not an exact science nor are they easy to apply. Furthermore, they may leave out many patients who may be good candidates for SC. Perioperative management is essential for preventing postoperative mortality. Failure to rescue (in-hospital mortality secondary to postoperative complications) is the main factor linked to in-hospital surgical mortality and can affect any patient regardless of age, comorbidity, or type of surgery. The component that most reduces failure to rescue is the presence of internists in surgical wards. We believe that all patients hospitalized in surgery departments should receive SC.

Adults with serious mental illness have high rates of general medical comorbidity and encounter challenges in dealing with multiple health conditions. Chronic illness self-management programs may help them more effectively cope with comorbid illnesses, especially when instructors are certified peer specialists. This study assessed the longitudinal effectiveness of a peer-delivered health promotion program.Community mental health program clients in Georgia and Illinois with serious mental illness and health impairments were randomly assigned to receive either Whole Health Action Management (WHAM), a medical illness self-management program led by peer specialists, or care as usual, resulting in a sample of N=139 (WHAM N=68, control N=71). Assessments were conducted at study baseline and at 3 and 6 months. Generalized estimating equations were used to examine change over time in the primary outcome of patient activation and secondary outcomes of general health, hope, and employment.Longitudinal analysis indicated that compared with control participants, WHAM participants demonstrated significantly greater improvement over time in patient activation for health care. Intervention participants also demonstrated greater improvement in their self-assessed general health, overall hopefulness, and paid employment. Reactions to the WHAM program were positive, with 97% reporting being very or somewhat satisfied, and almost two-thirds (63%) reporting that their health was better than before they joined the program.The WHAM program improved patient activation, perceived general medical health, hopefulness, and likelihood of paid employment among people with serious mental illness and co-occurring medical conditions. Results suggest that peer-delivered health self-management education is effective and well received by participants.

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) 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. Lay abstract 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.

People with mental illness not only suffer from psychiatric symptoms but also have higher chances of having chronic diseases. Due to medical comorbidity, they tend to experience the decreased healt...

The interaction between major depressive disorder (MDD) and other medical conditions is increasingly recognized as an important factor for clinical management and for biomarker development. Many common medical conditions have a bidirectional epidemiologic relationship with MDD that may have roots in shared pathophysiologic, environmental, and psychosocial factors. Furthermore, depression is increasingly recognized as a systemic disease. Understanding this relationship is challenging because of the immense variability between patients with MDD and also within other medical disorders themselves. This includes not only specific symptoms, but also disease severity, duration, disability, and treatment resistance. [ Psychiatr Ann . 2020;50(6):239–243.]

Purpose: To evaluate the clinical and anatomical features of patients with arch pathology to better understand the applicability of the Zenith inner branched arch endograft (IBAE). Materials and Methods: A retrospective review was performed of 60 consecutive patients (mean age 62.5 years; 42 men) who presented with nonruptured aortic arch pathology at a single institution between 2009 and 2016. Patients were stratified into standard (no previous cardiac surgery

Background Breast 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. Objective To explore the perspectives of PCPs towards managing BCS in a community-based shared-care programme with oncologists. Methods Eleven 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. Results Majority 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. Conclusions PCPs 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.

BackgroundPost-acute sequelae of COVID-19 are common among adults. The prevalence of such syndromes among community samples of children and adolescents remains less well characterized.MethodWe identified all individuals age 5-18 across 2 New England health systems who had a positive SARS-CoV-2 PCR test between 3/12/2020 and 4/18/2021 and at least 90 days of follow-up visits documented in electronic health records. We identified neuropsychiatric symptoms in intervals prior to, and following, this testing using a previously-derived set of ICD-10 codes and natural language processing terms. Primary analysis examined sociodemographic features associated with presence of at least one incident (i.e., new-onset) neuropsychiatric symptom between 90 and 150 days after an initial positive test for COVID-19.ResultsAmong 5058 children (50% female, 2.9% Asian, 6.3% Black, and 63% White; 30% Hispanic; mean age was 12.4 (IQR 8.9-15.6), 366 (7.2%) exhibited at least one new-onset neuropsychiatric symptom between 90 and 150 days following initial SARS-CoV-2 test positivity. The most common incident symptoms at 90-150 days were headache (2.4%), mood and anxiety symptoms (2.4%), cognitive symptoms (2.3%), and fatigue (1.1%). In regression models, older children, girls, those with Hispanic ethnicity, those with public versus private insurance, and those with greater overall burden of medical comorbidity were more likely to exhibit subsequent symptoms.ConclusionThe prevalence of neuropsychiatric symptoms between 3- and 5-months following SARS-CoV-2 test positivity is similar to that observed in the period prior to infection. Prospective controlled studies will be needed to further refine these estimates.

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. Trail registration Dutch Trial Register, NTR NL7971, 18 August 2019

BACKGROUND Nearly half of pediatric homicides under age 5 are attributable to child abuse. Parents are most commonly the perpetrators, but less is known about incidents involving biological vs. surrogate parents. We sought to evaluate the characteristics of fatal child abuse involving biological and surrogate parents using the Georgia National Violent Death Reporting System (NVDRS), which we believe may differ in demographics and incident characteristics. METHODS This database was used to examine all homicides of children under age 18 from 2011-2017. Demographics and incident characteristics were analyzed using existing NVDRS variables and incident narratives. Chi-squared and nonparametric tests were used to compare fatal child abuse incidents involving biological and surrogate parents (e.g., adoptive, foster, step-parents, intimate partners of biological parent). RESULTS There were 452 pediatric homicides and 219 cases of fatal child abuse. Of all cases of fatal child abuse, 60% involved biological and 29% involved surrogate parents. Compared to children killed by biological parents, children killed by surrogate parents were older (4 vs. 3 years old), more often male (71% vs. 51%), more likely to survive the initial injury and present to the ED before death (96% vs. 69%), and less likely to have a medical comorbidity (2% vs 11%), all p < 0.05. Surrogate parents were more likely to be male (90% vs. 48%) and use a firearm (20% vs. 13%) to inflict the injury, both p < 0.05. The race/ethnicity of the child was not associated with the parent's relationship. CONCLUSIONS Child abuse accounts for half of all pediatric homicides. Parents are the most common perpetrators of fatal child abuse, but surrogate parent perpetrators are almost exclusively male and more likely to use firearms. Most children have a history of abuse, leaving an opportunity to intervene on potentially preventable deaths if abuse is identified in a timely fashion. LEVEL OF EVIDENCE Level IIIStudy TypeRetrospective cohort study.

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., Lay abstract Relatively little is known about the health needs of autistic adults who are 65 years of age or older. Our study is the first, to our knowledge, to use United States national data to compare physical and mental health conditions in autistic older adults with a population comparison group. Nearly all physical and mental health conditions were significantly more common among autistic older adults. In addition, health conditions commonly associated with advanced age in the general population (such as osteoporosis, cognitive disorders, heart disease, cancer, osteoarthritis) were significantly more common among autistic older adults. It is important to note that the sample of autistic older adults included in this study (who were all born before the year 1950) were likely diagnosed using different criteria and may not have had access to evidence-based supports and services early in life. As such, our findings may or may not be predictive of the outcomes of future generations of autistic older adults. Nevertheless, the results of this study can inform healthcare systems, healthcare providers, and public health initiatives seeking to promote well-being among autistic older adults living in the United States today.

PURPOSE OF REVIEW: Previous research has demonstrated the high prevalence of medical comorbidity and multimorbidity among patients with schizophrenia. However, little is known regarding the potential effects of chronic physical illness (CPI) on schizophrenia treatment outcomes. In the present report, we aim to provide an updated review of the relevant literature. RECENT FINDINGS: We searched MEDLINE for studies published between 2017 and 2018. After screening 683 articles, we included six studies of adequate quality. Five of these studies reported significant associations between several CPIs and different schizophrenia treatment outcomes, whereas the remaining study did not. Significant effects were low to moderate in size. CPIs with significant effects on treatment outcomes included metabolic syndrome, cardiovascular disease, and asthma. No significant effects were observed for diabetes, chronic obstructive pulmonary disease, hepatitis, hypertension, hyperlipidemia, or lung conditions. One study reported a significant association between the total number of CPIs and the overall number of psychiatric rehospitalizations. SUMMARY: In addition to increasing the risk of premature mortality, accumulating evidence indicates that various CPIs affect schizophrenia treatment outcomes. Thus, researchers and healthcare practitioners should increase efforts to raise awareness regarding the importance of physical health among patients with schizophrenia. Further high-quality studies are required, particularly those targeting the potential effects of individual CPIs.

Background: To combat the opioid crisis, scholars have investigated medical comorbidities associated with opioid use; however, the findings are often contradictory. The main problem resides...

Background In Italy the Law 9/2012 prescribed the total closure of forensic psychiatric hospitals (OPGs) and the conversion to a care model based on residential units in the community employing only clinical personnel (Residenze per l'Esecuzione delle Misure di Sicurezza – REMS) and fully integrated in public mental health services. The aim of this study is to report sociodemographic, clinical and criminological characteristics of patients admitted in Volterra REMS since it opened on 01/12/15 up to 31/12/17. Methods Sociodemographic and clinical information was collected from official documents (clinical files, ward reports) and from patients' personal health records. Psychiatric diagnoses were made by REMS psychiatrists according to the DSM-5 criteria. Criminological information was obtained from patients' criminal records. Results Volterra REMS patients' characteristics are similar to those of samples of OPGs patients (unmarried socially disadvantaged males with an average age of 40, no offsprings, low education, high rates of Schizophrenia Spectrum Disorders and medical comorbidity). However, the REMS model presents a very high turnover rate: during the study period 61 patients were admitted while 32 were discharged. Being assisted by public mental health services before committing the crime increased the probability of discharge. In non-EU patients long acting injectable antipsychotics were used more frequently than in community ones. Substance-Related Disorders are the main psychiatric comorbidity and resulted as being more frequent in bipolar patients than in other patients. Conclusions Due to the high patients' turnover, we expect a progressive change in sociodemographic, clinical and criminological features of the REMS population. The REMS model provides a return for mentally disordered criminals to the care of local public mental health services which are recovering after many years some of their most challenging patients ensuring their deinstitutionalization and reintegration into society.

As overdose mortality rises, overdose morbidity - complications seen as a result of overdose events - is rising too. Although comorbidity is often thought of as psychiatric or psychological, a case report of compartment syndrome, rhabdomyolysis, and acute renal insufficiency in a patient with loss of consciousness for 6 hours after smoking Kratom highlights medical comorbidity. The case is a reminder that a broad range of medical comorbidities can occur in patients with overdose and with unhealthy substance use. Patients with these comorbidities will often be cared for by clinicians who are not addiction specialists, who will need to have sufficient training to recognize and address them.

Preliminary data suggest that cigarette smokers could have an increased mortality risk from the novel coronavirus (SARS-CoV-2), and that certain factors (e.g., increased age, medical comorbidities) can also increase risk of poor coronavirus disease (COVID-19) outcomes. Between April 30(th), 2020 and May 28(th), 2020, we evaluated self-reported changes in recent smoking patterns and motivation to quit smoking among current daily cigarette smokers (N = 103) on Amazon Mechanical Turk. We also assessed the relationship of these outcomes to age, medical comorbidity status, and fear of COVID-19. Most participants (68.9%) reported smoking less frequently than usual in the last 28 days. Among daily smokers, increased fear of COVID-19 predicted increased motivation to quit smoking and actual smoking reductions (ps < .05). Endorsement of one or more medical comorbidities, but not increased age, predicted increased motivation to quit smoking (p < .05). These data suggest the potentially greater relevance of psychological factors (e.g., fear of COVID-19) over external risk factors (e.g., medical comorbidity, increased age) on motivation to quit smoking and actual reductions in smoking patterns, and may reflect that the pandemic is a suitable time for offering smoking cessation intervention.

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, 1,348 had HD (6.5%), 1,268 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.

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., Lay Summary Diagnosing cancer is complicated by existing medical conditions. Diagnosis may be delayed if conditions explain cancer symptoms, or dominate appointments. Diagnosis may be quicker if conditions increase doctor–patient contact. We studied the association between existing illness and stage (early or advanced) of diagnosis with cancer of the stomach or gullet. We studied the primary-care records of patients aged ≥40 years, diagnosed in 01/01/2010–31/12/2015, and got stage from English cancer registry data. We searched the primary-care records for cancer symptoms (e.g. difficulty swallowing), and for 27 conditions that were common or explained cancer symptoms (e.g. difficulty swallowing following a stroke). We analysed cancer stage, looking at age, sex, multimorbidity (two or more conditions) and explanations for symptoms. We studied 1749 patients, of whom 1265 (72.3%) had advanced-stage cancer. The chance of advanced stage was similar in women with (71%, 95% CI 66–75%) or without (69%, 62–76%) multimorbidity. It was lower for men with (70%, 67–74%) than without (79%, 75–83%) multimorbidity. Stage of cancer was not affected by having explanations for cancer symptoms. In summary, for men, multimorbidity is associated with a reduced chance of advanced-stage cancer of the stomach or gullet to levels seen collectively for women.

OBJECTIVE: Older adults with type 2 diabetes (T2D) are at increased risk for depression, cognitive decline and dementia compared to those without T2D. Little is known about the association of simultaneous changes in depression symptoms and cognitive decline over time. METHODS: Subjects [n=1021; mean age 71.6 (SD=4.6); 41.2% female] were initially cognitively normal participants of the Israel Diabetes and Cognitive Decline (IDCD) study who underwent evaluations of depression and cognition approximately every 18 months. Cognitive tests were summarized into four cognitive domains: episodic memory, attention/working memory, executive functions and semantic categorization. The average of the z-scores of the four domains defined global cognition. Depression symptoms were assessed using the Geriatric Depression Scale (GDS), 15-item version. We fit a random coefficients model of changes in depression and in cognitive functions, adjusting for baseline sociodemographic and cardiovascular variables. RESULTS: “ Higher number of depression symptoms at baseline was significantly associated with lower baseline cognitive scores in global cognition (estimate=−0.1175, SE= 0.021, DF=1014, t=−5.59; p

STUDY DESIGN Retrospective database analysis. OBJECTIVE To identify nationwide temporal trends in management of geriatric odontoid fractures and to compare comorbidities, inpatient complications, hospital characteristics, and cost between patients receiving operative versus nonoperative management. SUMMARY OF BACKGROUND DATA The treatment of geriatric odontoid fractures remains controversial with some studies demonstrating decreased mortality and improved functional outcomes associated with operative management and significant morbidity associated with halo devices during nonoperative management. METHODS Patients between ages 65 to 90 years with odontoid fractures who underwent operative or nonoperative management between the years 2003 and 2017 were identified in the National Inpatient Sample (NIS) database. Year of injury, demographic variables, comorbidities, inpatient complications, mortality, length of stay, inpatient cost, and hospital characteristics were compared between operative and nonoperative treatment groups. RESULTS Thirty two thousand four hundred nineteen patients (average age 77 yr, 54% female) were included in the final analysis. Operative treatment occurred in 21,954 (67%) patients and nonoperative treatment occurred in 10,465 (32%). In 2003, operative treatment occurred in 46% of patients and nearly doubled to 86% in 2017, with an average increase of 3.7% per year (P

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. Lay abstract 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.

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. Lay abstract 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.

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.

Medical comorbidity in severe mental illness (SMI) is high and often severe, accounting for reduced life expectancy in this group. We assessed the rate and degree of electrocardiogram (ECG) abnormalities in acutely unwell SMI male patients by reviewing the case notes of 50 consecutive admissions to an inpatient psychiatric unit. 82% were admitted with a psychotic disorder with a median age of 35 (range 19 - 72 years). Of the 29 patients who had an ECG during admission or recently (

Objectives Our study examined the proportion of skilled nursing facility (SNF) post-acute care residents who did not receive timely primary care provider (PCP) services following discharge, factors associated with lack of timely PCP services, and factors associated with perfect 30-day home time among those who did not receive timely PCP services. Design Longitudinal cohort study; data sources included Medicare claims and other administrative databases. Setting and Participants 25,357 fee-for-service New York State Medicare beneficiaries aged 65 years and older admitted to SNFs for post-acute care in 2014 and then discharged to the community. Methods Our outcomes were a timely PCP visit (within 7 days of SNF discharge) and perfect 30-day home time, and we examined their association with patient, SNF, and county factors. Results Among SNF discharges, 60.6% had a timely PCP visit. In multivariate regression analyses, female sex, nonwhite race, Medicare only status, less functional impairment and medical comorbidity, a surgical hospitalization, fewer hospital days, more SNF days, absence of home health services, for-profit SNF status, higher SNF star rating, lower ratio of registered nurse/total nursing hours, and rural counties were associated with lower odds of a timely PCP visit following SNF discharge. Among those without a timely PCP visit, female sex, less cognitive and functional impairment, less medical comorbidity, a surgical hospitalization, fewer hospital days, receipt of home health services, and higher SNF star rating were associated with increased odds of perfect 30-day home time following SNF discharge. Conclusions and Implications That 4 in 10 post-acute care SNF patients did not have a timely PCP visit post-SNF discharge, with racial minority and rural county status associated with decreased odds of a timely PCP visit, is concerning. Examination of whether the timing and type of outpatient visit may have varying effects on different post-acute care subpopulations would build on this work.

Perhaps, comorbidity between mental disorders and physical sicknesses is the rule rather than the exception...

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and the presence of restricted interests and repetitive behaviors. There have been recent concerns about increased prevalence, and this article seeks to elaborate on factors that may influence prevalence rates, including recent changes to the diagnostic criteria. The authors review evidence that ASD is a neurobiological disorder influenced by both genetic and environmental factors affecting the developing brain, and enumerate factors that correlate with ASD risk. Finally, the article describes how clinical evaluation begins with developmental screening, followed by referral for a definitive diagnosis, and provides guidance on screening for comorbid conditions.

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., Family Practice, 37(4), pp.453-458; 2020

The topic of medical clearance has been debated for years; traditionally, the focus has been on how to most appropriately screen psychiatric patients presenting to the medical emergency department (ED) for transfer to inpatient psychiatric units. A clear dichotomy existed between medical and psychiatric issues; however, the advent of integrated care has given this issue a more complex new shape. The need for expeditious identification of acute medical illness using history, physical exam, and basic laboratory testing, needs to be balanced with the need to monitor chronic conditions that can affect psychiatric care.

Recent data has linked anxiety and its disorders in late life to increased morbidity and mortality, especially related to a higher cardiovascular burden and an increased cognitive decline. Clinically, anxiety symptoms may be more difficult to elicit in older adults who are less accurate in identifying anxiety symptoms and tend to minimize symptoms and to attribute symptoms to physical illness. Although SSRIs have proven more effective than psychotherapy in late-life anxiety, many elderly anxious subjects prefer psychotherapeutic interventions. These interventions appear to work best when tailored for the needs, expectations, and cultural background of older anxious subjects.

BackgroundThe medical burden in mood disorders is high; various factors are thought to drive this pattern. Little research has examined the role of childhood maltreatment and its effects on medical morbidity in adulthood among people with unipolar depression and bipolar disorder.AimsThis is the first study to explore the association between childhood maltreatment and medical morbidity in bipolar disorder and in unipolar depression, and examine whether the impact of abuse and neglect are distinct or combined.MethodThe participants consisted of 354 psychiatrically healthy controls, 248 participants with recurrent unipolar depression and 72 with bipolar disorder. Participants completed the Childhood Trauma Questionnaire and received a validated medical history interview.ResultsAny type of childhood maltreatment, child abuse and child neglect were significantly associated with the medical burden in bipolar disorder, but not unipolar depression or for controls. These associations worked in a dose–response fashion where participants with bipolar disorder with a history of two or more types of childhood maltreatment had the highest odds of having a medical illness relative to those without such history or those who reported one form. No such significant dose–response patterns were detected for participants with unipolar depression or controls.ConclusionsThese findings suggest that childhood maltreatment may play a stronger role in the development of medical illnesses in individuals with bipolar disorder relative to those with unipolar depression. Individuals who had been maltreated with a mood disorder, especially bipolar disorder may benefit most from prevention and intervention efforts surrounding physical health.Declaration of interestNone.

Eating disorders are unique in that they inherently have much medical comorbidity both as a part of restricting-type eating disorders and those characterized by purging behaviors. Over the last three decades, remarkable progress has been made in the understanding and treatment of the medical complications of eating disorders. Yet, unfortunately, there is much research that is sorely needed to bridge the gap between current medical knowledge and more effective and evidence-based medical treatment knowledge. These gaps exist in many different clinical areas including cardiology, electrolytes, gastrointestinal and bone disease. In this paper, we discuss some of the knowledge gap areas, which if bridged would help develop more effective medical intervention for this population of patients.

We conducted a prospective cohort study derived from the population-based Mayo Clinic Study of Aging. We investigated if leisure-time physical activity among individuals with mild cognitive impairment (MCI) was associated with a decreased risk of developing dementia. 280 persons aged≥70 years (median 81 years, 165 males) with MCI and available data from neurologic evaluation, neuropsychological testing, and questionnaire-based physical activity assessment, were followed for a median of 3 years to the outcomes of incident dementia or censoring variables. We conducted Cox proportional hazards regression analyses with age as a time scale and adjusted for sex, education, medical comorbidity, depression, and APOE ɛ4 status. Moderate intensity midlife physical activity among MCI participants was significantly associated with a decreased risk of incident dementia (HR = 0.64; 95% CI, 0.41-0.98). There was a non-significant trend for a decreased risk of dementia for light and vigorous intensity midlife physical activity, as well as light and moderate intensity late-life physical activity. In conclusion, we observed that physical activity may be associated with a reduced risk of dementia among individuals with MCI. Furthermore, intensity and timing of physical activity may be important factors when investigating this association.

Background:The stress associated with care of patients with dementia has led to high nursing staff turnover. This study aims to explore patient factors that are related to nursing burden.Methods:The present study examined nursing care burden related to 55 institutionalized dementia patients using the Modified Nursing Care Assessment Scale (M-NCAS). Cognition was assessed with the Severe Impairment Battery (SIB), activities of daily living (ADLs) were measured with the Alzheimer's Disease Functional Assessment of Change Scale (ADFACS), aggression was measured with the Aggressive Behavior Scale (ABS), and the Charlson Comorbidity Index (CCI) was used to assess medical comorbidity. Finally, the Dementia Cognitive Fluctuation Scale (DCFS) was used to assess the presence and severity of cognitive fluctuations (CFs). Linear regression models were used to assess their relationships with nursing care burden.Results:The mean age of the patients was 90.41 years (SD=2.84) and 89.10% were males. ADFACS total score (B = 0.36, β = 0.42, p = 0.002) and ABS score (B = 2.933, β = 0.37, p = 0.002) significantly predicted the M-NCAS Attitude score. ABS score was the only significant predictor of M-NCAS Strain score (B = 2.57, β = 0.35, p = 0.009).Conclusions:In the long-term care setting, aggressive behavior plays an important role in both subjective and objective nursing burden, while impaired ADLs increase the objective burden for nursing staff.

Purpose: Factors related to premature discontinuation of curative radiation therapy (PDCRT) are understudied. This study aimed to examine causes and clinical outcomes of PDCRT at our institution by investigating the most common anatomical site associated with PDCRT. Methods and materials: Among the 161 patients with PDCRT of various anatomic sites at our institution between 2010 and 2017, 36% received radiation to the head and neck region. Pertinent demographic, clinical, and treatment-related data on these 58 patients were collected. Survival was examined using the life-table method and log-rank test. Results: The majority of patients were male (81%), white (67%), ≥60 years old (59%), living ≥10 miles away from the hospital (60%), single (57%), with Eastern Cooperative Oncology Group score ≥1 (86%), experiencing significant pain issues (67%), and had treatment interruptions in radiation therapy (RT; 66%). The most common reasons for PDCRT were discontinuation against medical advice (33%), medical comorbidity (24%), and RT toxicity (17%). Of the comorbidities leading to PDCRT, 50% was acute cardiopulmonary issues and 43% was infection. The mean follow-up time was 15.9 months, and the 2-year overall survival and disease-specific survival rates were 61% and 78%, respectively. Patients with illicit substance abuse, cardiovascular disease, and Eastern Cooperative Oncology Group score ≥2 had worse survival. A trend toward improved survival with total completed dose ≥50 Gy versus 50 Gy appears to confer a relative therapeutic benefit.

IntroductionPost-traumatic stress disorder (PTSD) is often a chronic condition, despite the existence of evidence-based treatment options. Psychotherapy is the designated first line treatment for PTSD, although high rates of psychiatric and medical comorbidity are observed among patients who have undergone treatment. The psychoactive properties of psychedelics may be of particular interest within a substance-assisted psychotherapy approach, offering new treatment opportunities for this debilitating disorder.ObjectivesReview current evidence, therapeutic context, and possible mechanisms of action of different types of psychedelics in the treatment of PTSD.MethodsLiterature review using Medline database.Results3,4-methylenedioxymethamphetamine (MDMA)-assisted psychotherapy appears to be a potentially safe, effective, and durable treatment for individuals with treatment-refractory PTSD. Based on a small number of studies, ketamine administration appears to result in temporary symptom relief and may, in combination with psychotherapy, lead to lasting reductions in PTSD symptoms. Although these have not yet been investigated in controlled studies, it is known that psilocybin and LSD induce psychoactive effects that could as well contribute to the psychotherapeutic treatment of PTSD.ConclusionsThe use of psychedelic compounds within a substance-assisted psychotherapy framework offers a novel method for pharmacotherapy-psychotherapy integration, although there is still much to learn from both a clinical and neurobiological perspective. It is necessary to generate more data regarding the safety and efficacy of psychedelics, in addition to research on cost-effectiveness, its use in mental health care infrastructure and also regarding the training of specialized therapists.

Objective To examine associations among substance use disorder (SUD) and measures of length of stay (LOS) and non-psychiatric medical comorbidity (MEDCO) in older-adult inpatients with serious mental illness (SMI), hypothesizing SUD would be related to worse clinical outcomes. Methods A cross-sectional study analyzed medical records from 2010 to 2016 of 7258 inpatients with SMI ≥ age 50, obtained from a 274-bed psychiatric hospital. Descriptive analyses examined prevalence rates for SUD status (+/−), individual drug classes, and total number of SUDs (polysubstance use disorders). Regression models examined the influence of 2 independent variables of interest: (1) SUD status (+/−) and (2) type of SUD (ie, specific drug), controlling for demographic factors and additional (non-SUD) psychiatric disorders. Two dependent (outcome) variables were examined: LOS and MEDCO. Results The overall SUD rate was 26%; cocaine was the most common SUD (≈ 10%). SUD status and additional (non-SUD) psychiatric diagnoses were significantly associated with longer LOS (both P