Unraveling PTSD: Symptom cluster change during and 1 year after veterans' residential PTSD treatment.

OBJECTIVE: Although treatment of posttraumatic stress disorder (PTSD) is effective in reducing symptom severity, remission rates are low. One potential underlying reason for treatment ineffectiveness is differential response of specific PTSD symptom clusters. Using data from a national Veterans Affairs (VA) residential PTSD treatment cohort, we conducted a longitudinal study to examine changes in Diagnostic and Statistical Manual of Mental Disorders, fifth edition PTSD symptom clusters from admission to 1-year follow-up. METHOD: PTSD symptom data were analyzed from a national cohort of veterans who completed VA PTSD residential treatment between October 2019 and September 2020 (n = 1,648; 13% women; median age 44.2 years). Endorsement (%) and severity (M[SD]) of PTSD clusters and individual symptoms were compared at admission, discharge, 4-month and 1-year follow-ups. RESULTS: Large magnitude reductions in all four PTSD symptom clusters were observed from admission to discharge and both follow-ups; however, endorsement of all symptom clusters remained high. Intrusions (Cluster B) were the most highly endorsed at discharge and follow-up, whereas avoidance symptoms (Cluster C) were the least highly endorsed. Differential patterns of change were observed among the 20 individual PTSD symptoms; for example, flashbacks decreased during treatment, but increased to near admission levels by 1-year postdischarge. CONCLUSIONS: Results suggest that intrusive symptoms may be more resistant to residential treatment for PTSD and contribute to lower likelihood of treatment success. Future work is needed to examine differential treatment response for PTSD clusters, to inform the improvement of current and creation of novel treatment interventions, and to better address intrusive symptoms to maximize PTSD treatment gains. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Examining the impact of substance use on hospital length of stay in schizophrenia spectrum disorder: a retrospective analysis.

BACKGROUND: Among patients diagnosed with schizophrenia, the presence of substance use poses an aggravating comorbidity, exerting a negative impact on the course of the disease, adherence to therapeutic regimens, treatment outcomes, duration of hospital stays, and the frequency of hospitalizations. The primary objective of the present study is to investigate the relationship between comorbid substance use disorders, antipsychotic treatment, and the length of stay in individuals hospitalized for treatment of schizophrenia. METHODS: We conducted a retrospective analysis of electronic health records spanning a 12-month period, specifically focusing on adult patients diagnosed with schizophrenia who were discharged from the University Hospital of Psychiatry Zurich between January and December 2019. We documented the number and types of diagnosed substance use disorder, the antipsychotic treatment, the length of stay, and the number of previous hospitalizations for each patient. RESULTS: Over a third (n = 328; 37.1%) of patients with schizophrenia had comorbid substance use with cannabis being the most frequent consumed substance. Patients with substance use (either single or multiple) were more frequently hospitalized; those with multiple substance use more frequently than those with a single substance use (F(2, 882) = 69.06; p < 0.001). There were no differences regarding the rate of compulsory admission. Patients with no substance use had a lower HoNOS score at discharge (F(2, 882) = 4.06). Patients with multiple substance use had a shorter length of stay (F(2, 882) = 9.22; p < 0.001), even after adjusting for duration of illness, previous hospitalizations, diagnosis, and antipsychotic treatment. CONCLUSIONS: In patients with schizophrenia, comorbid single or multiple substance use has a relevant negative impact on treatment and thus on the course of disease. Substance use in patients with schizophrenia should therefore receive special attention in order to reduce re-hospitalization rates and improve the clinical outcome.

Impact of psychopathology on day-to-day living in patients with schizophrenia: A network analysis.

Although the relationship between schizophrenia and disability is well established, the association between the symptoms of the disorder and functional domains remains unclear. The current study explored the nuances of the relationship between symptoms and domains of functioning in a sample of 1127 patients with schizophrenia. We assessed the symptoms of schizophrenia with the Positive and Negative Syndrome Scale (PANSS) and psychosocial functioning with the mini-ICF-APP (mini-International Classification of Functioning Rating for Limitations of Activities and Participation in Psychological Disorders). The mean PANSS score was 94.28 (27.20), and the mean mini-ICF-APP score was 25.25 (8.96), both of which are indicative of severe symptom load and impairment. We were able to show a strong relationship and overlap between symptoms and disability in patients with schizophrenia. We identified several symptoms related to functional impairment. Deficits in judgment and abstract thinking contribute to impairment through poor adherence (to routines and compliance with rules) and difficulties in planning and organizing. We believe that in schizophrenia, symptoms and their interactions constitute a disorder beyond any single manifestation. Furthermore, we suggest that cognitive testing and cognitive treatment should become part of the standard of care for patients with schizophrenia.

Structural Neuroimaging of Hippocampus and Amygdala Subregions in Posttraumatic Stress Disorder: A Scoping Review.

Numerous studies have explored the relationship between posttraumatic stress disorder (PTSD) and the hippocampus and the amygdala because both regions are implicated in the disorder's pathogenesis and pathophysiology. Nevertheless, those key limbic regions consist of functionally and cytoarchitecturally distinct substructures that may play different roles in the etiology of PTSD. Spurred by the availability of automatic segmentation software, structural neuroimaging studies of human hippocampal and amygdala subregions have proliferated in recent years. Here, we present a preregistered scoping review of the existing structural neuroimaging studies of the hippocampus and amygdala subregions in adults diagnosed with PTSD. A total of 3513 studies assessing subregion volumes were identified, 1689 of which were screened, and 21 studies were eligible for this review (total N = 2876 individuals). Most studies examined hippocampal subregions and reported decreased CA1, CA3, dentate gyrus, and subiculum volumes in PTSD. Fewer studies investigated amygdala subregions and reported altered lateral, basal, and central nuclei volumes in PTSD. This review further highlights the conceptual and methodological limitations of the current literature and identifies future directions to increase understanding of the distinct roles of hippocampal and amygdalar subregions in posttraumatic psychopathology.

Construct validity of the German version of the Emotion Reactivity Scale.

BACKGROUND: Emotional reactivity is an important construct to consider when studying mental disorders. This study was conducted to translate and assess the factor structure, construct validity and internal consistency of a German version of the Emotion Reactivity Scale (ERS), which is an originally English questionnaire assessing three components of emotional reactivity: sensitivity, intensity and persistence of emotions. METHODS: The German ERS and a range of questionnaires used to assess convergent and discriminant validity were completed by 334 German speaking Swiss participants. RESULTS: Confirmatory factor analysis showed strong support for a bi-factor model, with evaluation indices pointing to a unidimensional construct rather than to domain specific factors. The questionnaire showed good reliability and the factor structure was similar across gender. The ERS showed convergent validity with general psychopathology, behavioral inhibition, negative affect, orienting sensitivity, depressive symptoms and symptoms of disordered eating, and discriminant validity with behavioral activation and alcohol consumption. CONCLUSIONS: Findings support the construct validity of the German ERS and suggest that it assesses a unidimensional construct with high internal consistency. Accounting for the unidimensional nature of the scale and aiming for efficient assessment tools, future research could, based on these findings, develop and evaluate the psychometric properties of a short version of the ERS.

Changes in mental health among U.S. military veterans during the COVID-19 pandemic: A network analysis.

Increases of symptoms of posttraumatic stress disorder (PTSD), anxiety and depression have been observed among individuals exposed to potentially traumatic events in the first months of the COVID-19 pandemic. Similarly, associations among different aspects of mental health, such as symptoms of PTSD and suicidal ideation, have also been documented. However, studies including an assessment prior to the onset and during the height of the pandemic are lacking. We investigated changes in symptoms of PTSD, depression, anxiety, suicidal ideation, and posttraumatic growth in a population-based sample of 1232 U.S. military veterans who experienced a potentially traumatic event during the first year of the pandemic. Symptoms were assessed prior to (fall/winter 2019) and one year into the pandemic (fall/winter 2020). We compared changes in symptom interrelations using network analysis, and assessed their associations with pandemic-related PTSD and posttraumatic growth symptoms. A subtle increase in psychopathological symptoms and a decrease in posttraumatic growth was observed one year into the pandemic. The peripandemic network was more densely connected, and pandemic-related PTSD symptoms were positively associated with age, anxiety, worst-event PTSD symptoms, and pandemic-related posttraumatic growth. Our findings highlight the resilience of veterans exposed to a potentially traumatic event during the first year of a pandemic. Similarly, the networks did not fundamentally change from prepandemic to one year into the pandemic. Despite this relative stability on a group level, individual reactions to potentially traumatic events could have varied substantially. Clinicians should individualize their assessments but be aware of the general resilience of most veterans.

Correlates of avoidance coping in trauma-exposed U.S. military veterans: Results from the National Health and Resilience in Veterans Study.

Avoidant coping strategies, which involve cognitions and behaviors aimed to avoid dealing with stressful experiences, are associated with adverse long-term mental and physical health outcomes. In response to traumatic events, these strategies can be maladaptive as they may interfere with the adaptive integration of traumatic events into consolidated memories. Using data from a nationally representative sample of more than 3000 trauma-exposed U.S. military veterans (mean time since trauma 30.9 years, SD = 19.9), we employed a network analytic approach to examine pairwise associations between key sociodemographic, personality, and psychosocial risk factors in relation to the endorsement of avoidant coping strategies. Results revealed that negative affect symptoms of posttraumatic stress disorder (PTSD) and adverse childhood experiences were positively associated with engagement in avoidance coping, and that greater emotional stability and conscientiousness were negatively associated with this measure. Secondary network analysis of individual negative affect symptoms of PTSD suggested that blaming oneself and/or others for the traumatic event, emotional neglect, and sexual abuse were most strongly linked to avoidance coping. Collectively, these results suggest that strong feelings of blame related to trauma, emotional neglect, and sexual abuse are associated with greater likelihood of engaging in avoidance coping, while emotional stability and conscientiousness are associated with a lower likelihood of engaging in such strategies.

Clinical outcomes of veterans affairs residential PTSD treatment for PTSD and depressive symptoms: 1-year follow-up outcomes and gender differences.

OBJECTIVE: The long-term effectiveness of Department of Veterans Affairs (VA) residential treatment for posttraumatic stress disorder (PTSD), and how it may vary for men and women veterans, is unknown. This is the first national investigation of symptom change from admission, discharge, 4 months, and 1-year postdischarge from VA PTSD residential rehabilitation treatment programs (RRTPs). METHOD: Participants included all veterans discharged from 40 VA PTSD RRTPs October 1, 2017-September 30, 2020 (n = 2,937; 14.3% women). Linear mixed models examined PTSD and depressive symptoms across time points; it was hypothesized that women veterans would experience greater symptom reduction during and after treatment. RESULTS: Overall, veterans reported large-sized reductions of PTSD symptoms at all time points (Cohen's d: discharge = 1.23, 4-month follow-up d = 0.97, 1-year follow-up d = 1.51). Treatment effects for depressive symptoms were large-sized at all time points (Cohen's d; discharge = 1.03, 4-month follow-up d = 0.94, 1-year follow-up d = 1.05). Women veterans showed greater improvement in PTSD and depressive symptom severity (p < .001) than men at discharge, but not at 4-month or 1-year follow-ups. CONCLUSIONS: Veterans reported significant reductions in PTSD and depressive symptoms, and treatment gains were maintained one year postdischarge. Women experienced greater benefit during, but not after, treatment. Results not only provide support for the effectiveness of VA residential treatment for PTSD but also highlight the continued need for strategies to maximize and maintain treatment gains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Relationship between antipsychotic medication and aggressive events in patients with a psychotic disorder hospitalized for treatment.

BACKGROUND: Disruptive and aggressive behavior is frequent in patients with a psychotic disorder; furthermore, it is a recurrent reason for compulsory admission. Even during treatment, many patients continue to show aggressive behavior. Antipsychotic medication is posed to have anti-aggressive properties; its prescription is a common strategy for the treatment (and prevention) of violent behavior. The present study aims to investigate the relation between the antipsychotic class, according to the dopamine D2-Receptor binding affinity (i.e., "loose" - "tight binding"), and aggressive events perpetrated by hospitalized patients with a psychotic disorder. METHODS: We conducted a four-year retrospective analysis of legally liable aggressive incidents perpetrated by patients during hospitalization. We extracted patients' basic demographic and clinical data from electronic health records. We used the Staff Observation Aggression Scale (SOAS-R) to grade the severity of an event. Differences between patients with a "loose" or "tight-binding" antipsychotic were analyzed. RESULTS: In the observation period, there were 17,901 direct admissions; and 61 severe aggressive events (an incidence of 0.85 for every 1,000 admissions year). Patients with a psychotic disorder perpetrated 51 events (incidence of 2.90 for every 1,000 admission year), with an OR of 15.85 (CI: 8.04-31.25) compared to non-psychotic patients. We could identify 46 events conducted by patients with a psychotic disorder under medication. The mean SOAS-R total score was 17.02 (2.74). The majority of victims in the "loose-binding" group were staff members (73.1%, n = 19), while the majority of victims in the "tight-binding" group were fellow patients (65.0%, n = 13); (X2(3,46) = 19.687; p < 0.001). There were no demographic or clinical differences between the groups and no differences regarding dose equivalents or other prescribed medication. CONCLUSIONS: In aggressive behaviors conducted by patients with a psychotic disorder under antipsychotic medication, the dopamine D2-Receptor affinity seems to have a high impact on the target of aggression. However, more studies are needed to investigate the anti-aggressive effects of individual antipsychotic agents.

Comparative effectiveness of evidence-based psychotherapies for PTSD delivered in VA residential PTSD treatment.

BACKGROUND: Cognitive Processing Therapy (CPT) and Prolonged Exposure (PE) are first-line treatments for posttraumatic stress disorder (PTSD). There have been few direct comparisons of CPT and PE intended to determine their comparative effectiveness, none of which have examined outcomes among military veterans receiving these treatments in a residential setting such as the Department of Veterans Affairs (VA) residential rehabilitation treatment programs (RRTPs). Such work is essential given that these veterans are among the most complex and severely symptomatic patients with PTSD treated in VA. In this study we compared changes in PTSD and depressive symptoms across admission, discharge, four months and 12 months following discharge among veterans who received CPT or PE within VA RRTPs. METHODS: Using linear mixed models conducted on program evaluation data derived from the electronic medical record and follow-up surveys, we compared self-reported PTSD and depressive symptom outcomes among 1130 veterans with PTSD who were treated with individual CPT (n = 832, 73.5%) or PE (n = 297, 26.5%) in VA PTSD RRTPs in fiscal years 2018-2020. RESULTS: PTSD and depressive symptom severity did not significantly differ at any time points. The CPT and PE groups both showed large-sized reductions in PTSD (CPT d = 1.41, PE d = 1.51) and depression (CPT d = 1.01, PE d = 1.09) from baseline to 12-month follow-up. CONCLUSIONS: Outcomes for PE and CPT do not differ among a highly complex population of veterans with severe PTSD and several comorbid conditions that can make it difficult to engage in treatment.

Clinical significance of novel 8-factor model of DSM-5 PTSD in national VA PTSD residential treatment data: Internally- v. externally-cued intrusions.

BACKGROUND: Intrusion symptoms are a core defining feature of posttraumatic stress disorder (PTSD). It was recently proposed that intrusions may be comprised of two distinct underlying processes: internally-cued intrusions (e.g., trauma-related memories), and externally-cued intrusions (e.g., reactivity to trauma-related cues in one's environment). This is the first study to examine the functional correlates of these two intrusion clusters. METHODS: Participants included 7460 veterans discharged from 40 Veterans Affairs PTSD residential programs across the United States in fiscal years 2018 through 2020. Latent network modeling and structural equation modeling were used to assess the fit of an 8-factor model of PTSD symptoms, which were assessed using the PTSD Checklist for DSM-5 (PCL-5) PTSD symptoms at admission, and its association with symptoms of depression and generalized anxiety, and emotional and physical functioning. RESULTS: The 8-factor model, with separate intrusion factors, showed superior model fit to the DSM-5 4-factor, 5-factor dysphoric arousal, 6-factor anhedonia, and 7-factor hybrid models of PTSD. Internally-cued intrusions were uniquely associated with dysphoric arousal, decreased avoidance, and worse physical health functioning; whereas, externally-cued intrusions were uniquely associated with greater avoidance, anxious arousal, negative affect, increased generalized anxiety symptoms, and worse emotional functioning. LIMITATIONS: Limitations include the cross-sectional design and use of self-report measures. CONCLUSIONS: Findings provide initial support for the clinical utility of a novel 8-factor model of PCL-5 PTSD symptoms, which distinguishes internally- and externally-cued intrusions. These separate intrusion symptom clusters may offer greater specificity and utility in informing the prognosis of and tailored interventions for PTSD.

Physician-Specific Symptoms of Burnout Compared to a Non-Physicians Group.

Physician burnout is a systemic problem in health care due to its high prevalence and its negative impact on professional functioning and individual well-being. While unique aspects of the physician role contributing to the development burnout have been investigated recently, it is currently unclear whether burnout manifests differently in physicians compared to the non-physician working population. We conducted an individual symptom analysis of burnout symptoms comparing a large sample of physicians with a non-physician group. In this cross-sectional online study, burnout was assessed with the Maslach Burnout Inventory-General Survey. We matched physicians with non-physicians regarding their age, gender, educational level, occupational status, and total burnout level using a "nearest neighbour matching" procedure. We then conducted a series of between-groups comparisons. Data of 3846 (51.0% women) participants including 641 physicians and 3205 non-physicians were analysed. The most pronounced difference was that physicians were more satisfied with their work performance (medium effect size (r = 0.343). Our findings indicate minor yet significant differences in burnout phenomenology between physicians and non-physicians. This demonstrates unique aspects of physician burnout and implies that such differences should be considered in occupational research among physicians, particularly when developing burnout prevention programs for physicians.

Evaluating the Evidence for Brain-Based Biotypes of Psychiatric Vulnerability in the Acute Aftermath of Trauma.

OBJECTIVE: The weak link between subjective symptom-based diagnostic methods for posttraumatic psychopathology and objectively measured neurobiological indices forms a barrier to the development of effective personalized treatments. To overcome this problem, recent studies have aimed to stratify psychiatric disorders by identifying consistent subgroups based on objective neural markers. Along these lines, a promising 2021 study by Stevens et al. identified distinct brain-based biotypes associated with different longitudinal patterns of posttraumatic symptoms. Here, the authors conducted a conceptual nonexact replication of that study using a comparable data set from a multimodal longitudinal study of recent trauma survivors. METHODS: A total of 130 participants (mean age, 33.61 years, SD=11.21; 48% women) admitted to a general hospital emergency department following trauma exposure underwent demographic, clinical, and neuroimaging assessments 1, 6, and 14 months after trauma. All analyses followed the pipeline outlined in the original study and were conducted in collaboration with its authors. RESULTS: Task-based functional MRI conducted 1 month posttrauma was used to identify four clusters of individuals based on profiles of neural activity reflecting threat and reward reactivity. These clusters were not identical to the previously identified brain-based biotypes and were not associated with prospective symptoms of posttraumatic psychopathology. CONCLUSIONS: Overall, these findings suggest that the original brain-based biotypes of trauma resilience and psychopathology may not generalize to other populations. Thus, caution is warranted when attempting to define subtypes of psychiatric vulnerability using neural indices before treatment implications can be fully realized. Additional replication studies are needed to identify more stable and generalizable neuroimaging-based biotypes of posttraumatic psychopathology.

Longitudinal volumetric evaluation of hippocampus and amygdala subregions in recent trauma survivors.

The hippocampus and the amygdala play a central role in post-traumatic stress disorder (PTSD) pathogenesis. While alternations in volumes of both regions have been consistently observed in individuals with PTSD, it remains unknown whether these reflect pre-trauma vulnerability traits or acquired post-trauma consequences of the disorder. Here, we conducted a longitudinal panel study of adult civilian trauma survivors admitted to a general hospital emergency department (ED). One hundred eligible participants (mean age = 32.97 ± 10.97, n = 56 females) completed both clinical interviews and structural MRI scans at 1-, 6-, and 14-months after ED admission (alias T1, T2, and T3). While all participants met PTSD diagnosis at T1, only n = 29 still met PTSD diagnosis at T3 (a "non-Remission" Group), while n = 71 did not (a "Remission" Group). Bayesian multilevel modeling analysis showed robust evidence for smaller right hippocampus volume (P+ of ~0.014) and moderate evidence for larger left amygdala volume (P+ of ~0.870) at T1 in the "non-Remission" group, compared to the "Remission" group. Subregion analysis further demonstrated robust evidence for smaller volume in the subiculum and right CA1 hippocampal subregions (P+ of ~0.021-0.046) in the "non-Remission" group. No time-dependent volumetric changes (T1 to T2 to T3) were observed across all participants or between groups. Results support the "vulnerability trait" hypothesis, suggesting that lower initial volumes of specific hippocampus subregions are associated with non-remitting PTSD. The stable volume of all hippocampal and amygdala subregions does not support the idea of consequential, progressive, stress-related atrophy during the first critical year following trauma exposure.

Comparative effectiveness of group v. individual trauma-focused treatment for posttraumatic stress disorder in veterans.

BACKGROUND: Cognitive processing therapy (CPT) and prolonged exposure (PE) delivered in an individual setting are efficacious and effective treatments for veterans with posttraumatic stress disorder (PTSD). Group CPT has been shown to be less efficacious than individual CPT, however, evidence regarding real-world effectiveness is limited. METHODS: We conducted a retrospective, observational, comparative effectiveness study including veterans that received at least eight sessions of group CPT, individual CPT, or individual PE, and were discharged from PTSD residential treatment at the Department of Veterans Affairs between 1 October 2015, and 30 September 2020. PTSD symptom severity was assessed with the PTSD Checklist for DSM-5 (PCL-5) and treatments delivered in a group (CPT) or individual (CPT or PE) setting were compared at discharge and 4-month post-discharge follow-up. RESULTS: Of 6735 veterans, 3888 [653 women (17%), median (IQR) age 45 (35-55) years] received individual and 2847 [206 women (7.2%), median (IQR) age 42 (34-54)] received group therapy. At discharge, improvement in PTSD severity was statistically greater among those treated individually (mean difference on the PCL-5, 2.55 (95% CI 1.61-3.49); p = <0.001]. However, the difference was smaller than the minimal clinically important difference of 7.9 points. The groups did not differ significantly at 4-month follow-up [mean difference on the PCL-5, 0.37 (95% CI -0.86 to 1.60); p = 0.551]. CONCLUSION: Group CPT was associated with a slightly smaller reduction of PTSD symptom severity than individual CPT or PE in veterans at the end of residential treatment. There were no differences at 4-month follow-up.

Efficacy of a brief psychological intervention to reduce distress in healthcare workers during the COVID-19 pandemic: A randomized controlled trial.

INTRODUCTION: The COVID-19 pandemic has led to a sharp increase in mental health problems among healthcare workers (HCWs). Accessible interventions for HCWs are needed to reduce distress during the pandemic. OBJECTIVE: This study evaluated the efficacy of a brief psychological intervention (RECHARGE) delivered by videoconferencing to reduce psychological distress in HCWs. METHOD: This single-blind, parallel, randomized controlled trial enrolled HCWs in Switzerland who screened positive for psychological distress. Participants were randomly allocated to RECHARGE, that taught behavioral strategies or active treatment as usual (ATAU). Primary outcome was the total score on the Kessler Psychological Distress Scale (K10) measured at baseline, post-intervention, 2-month (primary outcome time point), and 6-month follow-up. Secondary outcomes included worry, anxiety and depression, burnout, traumatic stress, moral injury distress, and work performance. RESULTS: Between August 2020 and May 2021, 160 HCWs were enrolled in the study (RECHARGE = 82, ATAU = 78). Relative to ATAU, at 2 months RECHARGE led to a greater reduction in psychological distress (mean difference = 1.86, 95% confidence interval [CI .28, .34], p = .02; effect size = .37), and greater reductions in worry, burnout, and moral injury distress. These effects were not maintained at 6 months. CONCLUSIONS: This trial provides initial evidence that a brief psychological intervention delivered via videoconferencing results in significant reductions in mental health problems arising during the COVID-19 pandemic. Booster sessions or digital tools may be needed to maintain the initial gains achieved by RECHARGE. This intervention may have utility in improving the mental health of HCWs both during pandemics and everyday stressors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study.

Delirium screening in acute care settings is a resource intensive process with frequent deviations from screening protocols. A predictive model relying only on daily collected nursing data for delirium screening could expand the populations covered by such screening programs. Here, we present the results of the development and validation of a series of machine-learning based delirium prediction models. For this purpose, we used data of all patients 18 years or older which were hospitalized for more than a day between January 1, 2014, and December 31, 2018, at a single tertiary teaching hospital in Zurich, Switzerland. A total of 48,840 patients met inclusion criteria. 18,873 (38.6%) were excluded due to missing data. Mean age (SD) of the included 29,967 patients was 71.1 (12.2) years and 12,231 (40.8%) were women. Delirium was assessed with the Delirium Observation Scale (DOS) with a total score of 3 or greater indicating that a patient is at risk for delirium. Additional measures included structured data collected for nursing process planning and demographic characteristics. The performance of the machine learning models was assessed using the area under the receiver operating characteristic curve (AUC). The training set consisted of 21,147 patients (mean age 71.1 (12.1) years; 8,630 (40.8%) women|) including 233,024 observations with 16,167 (6.9%) positive DOS screens. The test set comprised 8,820 patients (median age 71.1 (12.4) years; 3,601 (40.8%) women) with 91,026 observations with 5,445 (6.0%) positive DOS screens. Overall, the gradient boosting machine model performed best with an AUC of 0.933 (95% CI, 0.929 - 0.936). In conclusion, machine learning models based only on structured nursing data can reliably predict patients at risk for delirium in an acute care setting. Prediction models, using existing data collection processes, could reduce the resources required for delirium screening procedures in clinical practice.

Discharge Destinations of Delirious Patients: Findings From a Prospective Cohort Study of 27,026 Patients From a Large Health Care System.

OBJECTIVES: Delirium is known to contribute to increased rates of institutionalization and mortality. The full extent of adverse outcomes, however, remains understudied. We aimed to systematically assess the discharge destinations and mortality risk in delirious patients in a large sample across all hospital services. DESIGN: Pragmatic prospective cohort study of consecutive admissions to a large health care system. SETTING AND PARTICIPANTS: A total of 27,026 consecutive adults (>18 years old) with length of stay of at least 24 hours in a tertiary care center from January 1 to December 31, 2014. METHODS: Presence of delirium determined by routine delirium screening. Clinical characteristics, discharge destination, and mortality were collected. Calculation of odds ratios (ORs) with logistic regression with adjustment for age, sex, and Charlson comorbidity index (CCI). RESULTS: Delirium was detected in 19.7% of patients (5313 of 27,026), median age of delirious patients was 56 years (25-75 interquartile range = 37-70). The electronic health record (DSM-5-based) delirium algorithm correctly identified 93.3% of delirium diagnoses made by consultation-liaison psychiatrists. Across services, the odds of delirious patients returning home was significantly reduced [OR 0.12; confidence interval (CI) 0.10-0.13; P < .001]. Rather, these patients were transferred to acute rehabilitation (OR 4.15; CI 3.78-4.55; P < .001) or nursing homes (OR 4.12; CI 3.45-4.93; P < .001). Delirious patients had a significantly increased adjusted mortality risk (OR 30.0; CI 23.2-39.4; P < .001). CONCLUSIONS AND IMPLICATIONS: This study advances our understanding of the discharge destination across all services in adults admitted to a large hospital system. Delirium was associated with reduced odds of returning home, increased odds of discharge to a setting of higher dependency, and excess mortality independent of comorbidity, age, and sex. These findings emphasize the potentially devastating outcomes associated with delirium and highlight the need for timely diagnosis and hospital-wide management.

Development of health care workers' mental health during the SARS-CoV-2 pandemic in Switzerland: two cross-sectional studies.

BACKGROUND: Virus outbreaks such as the current SARS-CoV-2 pandemic are challenging for health care workers (HCWs), affecting their workload and their mental health. Since both, workload and HCW's well-being are related to the quality of care, continuous monitoring of working hours and indicators of mental health in HCWs is of relevance during the current pandemic. The existing investigations, however, have been limited to a single study period. We examined changes in working hours and mental health in Swiss HCWs at the height of the pandemic (T1) and again after its flattening (T2). METHODS: We conducted two cross-sectional online studies among Swiss HCWs assessing working hours, depression, anxiety, and burnout. From each study, 812 demographics-matched participants were included into the analysis. Working hours and mental health were compared between the two samples. RESULTS: Compared to prior to the pandemic, the share of participants working less hours was the same in both samples, whereas the share of those working more hours was lower in the T2 sample. The level of depression did not differ between the samples. In the T2 sample, participants reported more anxiety, however, this difference was below the minimal clinically important difference. Levels of burnout were slightly higher in the T2 sample. CONCLUSIONS: Two weeks after the health care system started to transition back to normal operations, HCWs' working hours still differed from their regular hours in non-pandemic times. Overall anxiety and depression among HCWs did not change substantially over the course of the current SARS-CoV-2 pandemic.