Causes of death after first time venous thromboembolism.

BACKGROUND: Causes of death after first time community-acquired venous thromboembolism (VTE) diagnosed in unselected patients at the emergency department (ED) was investigated. MATERIALS AND METHODS: The study consists of all patients > 18 years of age who had a visit for any medical reason to any of 5 different ED in Stockholm County, Sweden from 1st January 2016 to 31st December 2017. We have identified all patients with a first registered incident VTE; deep vein thrombosis (DVT) and/or pulmonary embolism (PE) during the study period. Cox regression models were used to estimate hazards ratios (HR) with 95% confidence intervals (CIs) for all-cause mortality and cause-specific death in patients with DVT or PE using all other patients as the reference group. RESULTS: In total, 359,884 patients had an ED visit during the study period of whom about 2.1% were diagnosed with VTE (DVT = 4,384, PE = 3,212). The patients with VTE were older compared to the control group. During a mean follow up of 2.1 years, 1567 (21%) and 23,741(6.7%) patients died within the VTE and reference group, respectively. The adjusted risk of all-cause mortality was nearly double in patients with DVT (HR 1.7; 95% CI, 1.5-1.8) and more than 3-fold in patients with PE (HR 3.4; 95% CI, 3.1-3.6). While the risk of cancer related death was nearly 3-fold in patient with DVT (HR 2.7; 95% CI, 2.4-3.1), and 5-fold in PE (HR 5.4; 95% CI, 4.9-6.0 respectively). The diagnosis of PE during the ED visit was associated with a significantly higher risk of cardiovascular death (HR 2.2; 95% CI, 1.9-2.6). CONCLUSION: Patients with VTE have an elevated risk of all-cause mortality, including cardiovascular death.

Prescription Opioid Dose Reductions and Potential Adverse Events: a Multi-site Observational Cohort Study in Diverse US Health Systems.

BACKGROUND: In response to the opioid crisis in the United States, population-level prescribing of opioids has been decreasing; there are concerns, however, that dose reductions are related to potential adverse events. OBJECTIVE: Examine associations between opioid dose reductions and risk of 1-month potential adverse events (emergency department (ED) visits, opioid overdose, benzodiazepine prescription fill, all-cause mortality). DESIGN: This observational cohort study used electronic health record and claims data from eight United States health systems in a prescription opioid registry (Clinical Trials Network-0084). All opioid fills (excluding buprenorphine) between 1/1/2012 and 12/31/2018 were used to identify baseline periods with mean morphine milligram equivalents daily dose of  ≥ 50 during six consecutive months. PATIENTS: We identified 60,040 non-cancer patients with  ≥ one 2-month dose reduction period (600,234 unique dose reduction periods). MAIN MEASURES: Analyses examined associations between dose reduction levels (1- < 15%, 15- < 30%, 30- < 100%, 100% over 2 months) and potential adverse events in the month following a dose reduction using logistic regression analysis, adjusting for patient characteristics. KEY RESULTS: Overall, dose reduction periods involved mean reductions of 18.7%. Compared to reductions of 1- < 15%, dose reductions of 30- < 100% were associated with higher odds of ED visits (OR 1.14, 95% CI 1.10, 1.17), opioid overdose (OR 1.41, 95% CI 1.09-1.81), and all-cause mortality (OR 1.39, 95% CI 1.16-1.67), but lower odds of a benzodiazepine fill (OR 0.83, 95% CI 0.81-0.85). Dose reductions of 15- < 30%, compared to 1- < 15%, were associated with higher odds of ED visits (OR 1.08, 95% CI 1.05-1.11) and lower odds of a benzodiazepine fill (OR 0.93, 95% CI 0.92-0.95), but were not associated with opioid overdose and all-cause mortality. CONCLUSIONS: Larger reductions for patients on opioid therapy may raise risk of potential adverse events in the month after reduction and should be carefully monitored.

Preschool children with asthma during the Covid-19 pandemic: fewer infections, less wheezing.

INTRODUCTION: A few studies have already investigated preschool children with asthma during the pandemic. The purpose of this research was to investigate how preschool children with asthma were affected by the precautionary measures adopted during the pandemic. METHODS: Preschool children with asthma aged 18-60 months evaluated in our clinic in March-May 2019, before the Covid-19 pandemic, were included in the study. The lockdown continued during March, April, and May 2020. The questionnaires and asthma symptom control tests for preschool children with asthma in 2019 and 2020 were then evaluated. RESULTS: Sixty-three preschool children with asthma, 37 boys and 26 girls, aged 18-60 months (median 47) were included in the study. The median number of upper respiratory tract infections (URTIs) and lower respiratory tract infections (LRTIs), and the use of antibiotics were significantly lower in 2020 than 2019 (p<.01). The median numbers of the pediatric emergency department (PED) visits and hospitalizations were also lower in 2020 than in 2019 (p<.05). In 2019, 31 children with asthma were well controlled, 28 were partly controlled, and 4 were uncontrolled, compared to 58 well controlled, four partly controlled, and one uncontrolled in 2020 (p<.01). CONCLUSIONS: Preschool children with asthma have been positively affected in terms of PED admission, hospitalization, and asthma symptom control in association with the Covid-19 pandemic and the resulting lockdown measures. This study revealed that wheezing decreased significantly in the absence of respiratory infection in preschool children with asthma. Namely, fewer infections meant less wheezing.

Chronic psychiatric diagnoses increase emergency department utilization following bariatric surgery.

INTRODUCTION: This study aims to evaluate the impact mental health disorders have on emergency department (ED) utilization following bariatric surgery. We hypothesize that the presence of preexisting psychiatric diagnoses is predictive of increased post-bariatric surgical ED usage as compared to a matched cohort without psychiatric comorbidities. METHODS AND PROCEDURES: We utilized the Colorado All Payers Claim Database to identify patients undergoing laparoscopic sleeve gastrectomy, gastric band, or gastric bypass, (N = 5393). Patients with preexisting diagnoses of schizophrenia or bipolar disorder (PSY), and no concomitant mental health diagnosis were included (N = 427). Patients without a psychiatric diagnosis (CON) were used for comparison. Propensity score matching in a 1:1 ratio was done matching for age, sex, BMI, procedure type, and comorbidities. Baseline ED utilization was calculated over the year preceding surgery. RESULTS: A total of 240 patients with bipolar disorder or schizophrenia were identified. After matching, baseline ED utilization was 62% higher in the PSY group (ED visits per person per month (EDVPP) of 0.17 (95%CI 0.16-0.18) in the PSY group compared to 0.10 (95%CI 0.09-0.12) in the CON group). ED utilization increased dramatically in the month following surgery for both PSY and CON groups (EDVPP 0.58 (95%CI 0.52-0.65) vs 0.34 (95%CI 0.28-0.41)), but visits returned to baseline for the CON but not PSY patients by three months after surgery (11% vs 60% above baseline, respectively). In the PSY group, ED utilization remained elevated at 18% above baseline for two years post-surgery (EDVPP 0.20 (95%CI 0.19-0.22). CONCLUSIONS: Bariatric patients with schizophrenia or bipolar disorder have higher baseline ED usage compared to a matched cohort. ED usage increases post-operatively in all patients but to a greater extent in patients with these diagnoses. Such patients would benefit from intensive outpatient follow-up to limit ED visits.

Predicting daily emergency department visits using machine learning could increase accuracy.

OBJECTIVE: Administrators and clinicians alike have attempted to predict emergency department visits for many years. The ability to predict or "forecast" ED visit volume can allow for more efficient resource allocation, including up-staffing or down-staffing, changing OR schedules, and predicting the need for significant resources. The goal of this study is to examine combinations of variables via machine learning to increase prediction accuracy and determine the factors that are most predictive of overall ED visits. As compared to a simple univariate time series model, we hypothesize that machine learning models will predict St. Joseph Mercy Ann Arbor's patient visit load for the emergency department (ED) with higher accuracy than a simple univariate time series model. METHODS: Univariate time series models for daily ED visits, including ARIMA, Exponential Smoothing (ETS), and Facebook Inc.'s prophet algorithm were estimated as a baseline comparison. Machine learning models, including random forests and gradient boosted machines (GBM), were trained using data from 2017 to 2018. After final models were created, they were applied to the 2019 data to determine how well these models predicted actual ED patient volumes in data not utilized during the model fitting process. The accuracy of the machine learning and time series models were assessed based on out-of-sample predictive accuracy, compared using root mean squared error (RMSE). RESULTS: Using root mean squared error (RMSE) to assess out-of-sample predictive accuracy of the models, the results showed that the random forest model was the most accurate at predicting daily ED visits in the 2019 test set, followed by the GBM model. These performed only slightly better than the simple exponential smoothing model predictions. The ARIMA model performed poorly in comparison. The day of the week (likely capturing differences between weekdays and weekends) was found to be the most important predictor of patient volumes. Weather-related features such as maximum temperature and SFC pressure appeared to capture some of the seasonality trends related to changes in patient volumes. CONCLUSIONS: Machine learning models perform better at predicting daily patient volumes as compared to simple univariate time series models, though not by a substantial amount. Further research can help confirm these limited initial results. Gathering more training data and additional feature engineering could also be beneficial to training the models and potentially improving predictive accuracy.

What are the Causes, Costs and Risk-Factors for Emergency Department Visits Following Primary Total Hip Arthroplasty? An Analysis of 1,018,772 Patients.

BACKGROUND: Well-powered studies analyzing the relationship and nature of emergency department (ED) visits following primary total hip arthroplasties (THAs) are limited. The aim of this study was to: 1) compare baseline demographics of patients with/without an ED visit; 2) determine leading causes of ED visits; 3) identify patient-related risk factors; and 4) quantify 90-day episode-of-care healthcare costs divided by final diagnosis. METHODS: Patients undergoing primary THA between January 1, 2010 and October 1, 2020 who presented to the ED within 90-days postoperatively were identified using the Mariner dataset of PearlDiver, yielding 1,018,772 patients. This included 3.9% (n = 39,439) patients who did and 96.1% (n = 979,333) who did not have an ED visit. Baseline demographics between the control/study cohorts, ED visit causes, risk-factors, and subsequent costs-of-care were analyzed. Using Bonferroni-correction, a P-value less than 0.002 was considered statistically significant. RESULTS: Patients who presented to the ED post-operatively were most often aged 65-74 years old (41.09%) or female sex (55.60%). Nonmusculoskeletal etiologies comprised 66.8% of all ED visits. Risk factors associated with increased ED visits included alcohol abuse, depressive disorders, congestive heart failure, coagulopathy, and electrolyte/fluid derangements (P < .001 for all). Pulmonary ($28,928.01) and cardiac ($28,574.69) visits attributed to the highest costs of care. CONCLUSION: Nonmusculoskeletal causes constituted the majority of ED visits. The top five risk factors associated with increased odds of ED visits were alcohol abuse, electrolyte/fluid derangements, congestive heart failure, coagulopathy, and depression. This study highlights potential areas of pre-operative medical optimization that may reduce ED visits following primary THA.

Assessing Patient and Community-Level Social Factors; The Synergistic Effect of Social Needs and Social Determinants of Health on Healthcare Utilization at a Multilevel Academic Healthcare System.

We investigated the role of both individual-level social needs and community-level social determinants of health (SDOH) in explaining emergency department (ED) utilization rates. We also assessed the potential synergies between the two levels of analysis and their combined effect on patterns of ED visits. We extracted electronic health record (EHR) data between July 2016 and June 2020 for 1,308,598 unique Maryland residents who received care at Johns Hopkins Health System, of which 28,937 (2.2%) patients had at least one documented social need. There was a negative correlation between median household income in a neighborhood with having a social need such as financial resource strain, food insecurity, and residential instability (correlation coefficient: -0.05, -0.01, and - 0.06, p = 0, respectively). In a multilevel model with random effects after adjusting for other factors, living in a more disadvantaged neighborhood was found to be significantly associated with ED utilization statewide and within Baltimore City (OR: 1.005, 95% CI: 1.003-1.007 and 1.020, 95% CI: 1.017-1.022, respectively). However, individual-level social needs appeared to enhance the statewide effect of living in a more disadvantaged neighborhood with the OR for the interaction term between social needs and SDOH being larger, and more positive, than SDOH alone (OR: 1.012, 95% CI: 1.011-1.014). No such moderation was found in Baltimore City. To our knowledge, this study is one of the first attempts by a major academic healthcare system to assess the combined impact of patient-level social needs in association with community-level SDOH on healthcare utilization and can serve as a baseline for future studies using EHR data linked to population-level data to assess such synergistic association.

Frailty, gaps in care coordination, and preventable adverse events.

BACKGROUND: Older US adults often receive care from multiple ambulatory providers. Seeing multiple providers may be clinically appropriate but creates challenges for communication. Whether frailty is a risk factor for gaps in communication among older adults and subsequent preventable adverse events is unknown. METHODS: We conducted a cross-sectional analysis of community-dwelling US adults ≥ 65 years of age in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who attended an in-home study examination in 2013-2016 and completed a survey on experiences with healthcare in 2017-2018 (n = 5,024). Using 5 frailty indicators (low body mass index, exhaustion, slow walk, weakness, and history of falls), we characterized participants into 3 mutually exclusive groups: not frail (0 indicators), intermediate-frail (1-2 indicators), and frail (3-5 indicators). We used survey data on self-reported gaps in care coordination and self-reported adverse events that participants attributed to poor communication among providers (a drug-drug interaction, repeat testing, an emergency department visit, or a hospital admission). RESULTS: Overall, 2,398 (47.7%) participants were not frail, 2,436 (48.5%) were intermediate-frail, and 190 (3.8%) were frail. The prevalence of any gap in care coordination was 37.0%, 40.8%, and 51.1% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted prevalence ratio (PR) for any gap in care coordination among intermediate-frail and frail versus not frail participants was 1.09 (95% confidence interval [95%CI] 1.02-1.18) and 1.34 (95%CI 1.15-1.56), respectively. The prevalence of any preventable adverse event was 7.0%, 11.3% and 20.0% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted PR for any preventable adverse event among those who were intermediate-frail and frail versus not frail was 1.47 (95%CI 1.22-1.77) and 2.24 (95%CI 1.60-3.14), respectively. CONCLUSION: Among older adults, frailty is associated with an increased prevalence for self-reported gaps in care coordination and preventable adverse events. Targeted interventions to address patient-reported concerns regarding care coordination among intermediate-frail and frail older adults may be warranted.

The association between air pollution parameters and emergency department visits and hospitalizations due to cardiovascular and respiratory diseases: a time-series analysis.

OBJECTIVE: In this study, the association between cardiovascular and respiratory Emergency Department (ED) visits and hospitalizations and Sulfur Dioxide (SO2) and particulate matter with an aerodynamic diameter ≤ 10 µm (PM10) was determined. METHODS: The records of a total of 632,223 people diagnosed with cardiovascular diseases (ICD-10 code I00-I99) and respiratory diseases (ICD-10 code J00-J99) at and over the age of 18 between 2012 and 2018 in three hospitals in Karaman in Turkey were examined in the present study. The daily 24-h averages for SO2 and PM10 concentrations were acquired in National Air Quality Monitoring. A time-series analysis with Poisson Generalized Linear Model was used. RESULTS: Among the air pollution parameters, the mean ± standard deviation of SO2 and PM10 were 16.2 ± 22.1 and 75.8 ± 48.2 µg/m3, respectively. An increase of 10 µg/m3 in SO2 was associated with a 3% [Relative Risk (RR), 95% Confidence Interval (CI): 2-4)] increase in cardiovascular ED visit and 2% (RR, 95% CI 2-3) increase in respiratory ED visit, and 1% (RR, 95% CI 1-3) increase in respiratory hospitalizations. An increase of 10 µg/m3 in PM10 was associated with a 1% (RR, 95% CI 1-2) increase in cardiovascular hospitalizations. CONCLUSIONS: Increases in SO2 are a risk factor for cardiovascular and respiratory ED visits, and respiratory hospitalizations. Increases in PM10 are a risk factor for cardiovascular hospitalizations.

Characteristics and factors associated with mortality in palliative patients visiting the Emergency Department of a large tertiary hospital in Thailand.

BACKGROUND: The characteristics and outcomes of palliative patients who visited the Emergency Department (ED) in Thailand, a country in which no standard palliative care system existed, have not been comprehensively studied. We aimed to report the characteristics of ED palliative patients and investigate factors associated with mortality. METHODS: A prospective observational study was conducted at Siriraj Hospital, Bangkok, Thailand, between March 2019 and February 2021 by means of interviewing palliative patients and/or their caregivers and medical record review. Palliative patients with either incurable cancer or other end-stage chronic diseases were included. RESULTS: A total of 182 patients were enrolled. Their mean age was 73 years, 61.5% were female, and 53.8% had incurable cancer. Of these, 20.3% had previously visited the palliative clinic. Approximately 60% had advanced directives, 4.9% had a living will, and 27.5% had plans on their preferred place of death. The most common chief complaint was dyspnea (43.4%), and the main reason for ED visits was 'cannot control symptoms' (80%). At the ED, 17% of the patients had been seen by the palliative care team, and 23.1% died. Although 51% were admitted, 48.9% could not survive to discharge. Cancer, having received morphine, a palliative performance scale > 30, and ED palliative consultation were independently associated with hospital mortality. CONCLUSION: The recognition and utilization of palliative care were largely inadequate, especially for non-cancer patients. An improvement and promotion in the palliative care system from the ED through home care are mandatory to improve the quality of life of palliative patients.

Radial head arthroplasty: a descriptive study of 970 patients in an integrated health care system.

BACKGROUND: Radial head arthroplasty (RHA) is commonly performed for isolated comminuted radial head fractures and in conjunction with traumatic elbow instability. However, there is a paucity of literature directly describing the characteristics and outcomes of patients who undergo RHA in a community-based setting. We describe a cohort of 970 RHA performed in the California regions of a US integrated health care system over a 9-year period. Patient demographics, implant selection, 90-day acute postoperative events, and cumulative reoperation/revision rates are included. METHODS: Patients aged ≥18 years who underwent primary RHA were identified (2009-2017). Patient characteristics and demographics, including age, body mass index, gender, diabetes status, American Society of Anesthesiologists (ASA) classification, primary diagnosis, and concomitant procedures were described. Crude cumulative revision and reoperation probabilities were calculated as 1 minus the Kaplan-Meier estimator, with follow-up time calculated as the time from the index RHA to revision/reoperation date for those with the outcome of interest and time from index RHA to censoring date (eg, date of death, health care termination, study end date [March 31, 2018]) for those without the outcome. Ninety-day postoperative incidence of emergency department (ED) visit, readmission, and mortality was calculated as the number of patients with the event of interest over the number of patients at risk. RESULTS: A total of 970 patients underwent primary unilateral RHA by 205 surgeons during the study period. Annual procedure volume increased from 53 procedures in 2009 to 157 procedures in 2017. More patients were female, without diabetes, and had an ASA classification of 1 or 2. Fracture was the predominant indication for RHA (98.4%) and more than half (54.3%) had concomitant procedures performed. Most implants were press fit (63.2%) over loose fit, and >90% were monopolar. Three-year cumulative revision and reoperation probabilities following RHA were 6.5% (95% confidence interval [CI] = 5.0%-8.5%) and 8.2% (95% CI = 6.5%-10.3%), respectively. Revisions and reoperations tended to occur within the first postoperative year. Of the 970 RHA patients, 83 (8.5%) had a 90-day ED visit, 58 (6.0%) had a 90-day readmission, and 1 (0.1%) died within a 90-day postoperative period. CONCLUSION: This large cohort of RHA patients provides information about the practice of RHA at large and in the community. Surgeons are performing more RHA over time and choosing press fit stems more often. Revisions and reoperations tended to occur early. Readmission and ED visits were low but not negligible, with pain being the most common reason for ED visit.

Main reasons and predictive factors of cancer-related emergency department visits in a Hungarian tertiary care center.

BACKGROUND: Identifying the reasons for the Emergency Department (ED) visit of patients with cancer would be essential for possibly decreasing the burden of ED use. The aim of our study was to analyze the distribution of the demographic and clinical parameters of patients with cancer based on the reasons for the ED visits and to identify possible predictive factors for their visits. METHODS: This retrospective study, carried out at a large, public tertiary hospital in Hungary, involved all patients 18 years or over, who had received a cancer diagnosis latest within five years of their visit to the ED in 2018. Demographic and clinical characteristics were collected partly via automated data collection and partly through the manual chart review by a team of experts, including six emergency physicians and an oncologist. Five main reasons for the ED visit were hypothesized, pilot-tested, then identified, including those with cancer-related ED visits (whose visit was unambiguously related to their cancer illness) and those with non-cancer-related ED visits (whose visit to the ED was in no way associated with their cancer illness.) A descriptive approach was used for data analysis and binary logistic regression was used to determine predictive factors for patients with cancer visiting the ED. RESULTS: 23.2% of the altogether 2383 ED visits were directly cancer-related, and these patients had a significantly worse overall survival than patients with non-cancer related ED visits. Age 65 or below (Odds Ratio: 1.51), presence of two more comorbidities (OR: 7.14), dyspnea as chief complaint (OR: 1.52), respiratory cancer (OR: 3.37), any prior chemotherapy (OR: 1.8), any prior immune/biological treatment (OR: 2.21), any prior Best Supportive Care/palliative care (OR: 19.06), or any prior hospice care (OR: 9.43), and hospitalization (OR:2.88) were independent risk factors for the ED visit to be cancer-related. CONCLUSIONS: Our study is the first to identify independent predictive factors of ED use by patients with cancer based on the chief cause of their visit in the Central and Eastern European region. These results may provide important information for the development of algorithms intended to identify the needs of care of patients with cancer at the ED.

Health care utilization among beneficiaries with diabetes from federally qualified health centers: Analysis from a Medicaid managed care organization.

We examined health care utilization among federally qualified health center (FQHCs) users from a Medicaid managed care organization based on 2016 administrative claims data (n = 8,402). FQHC users had fewer primary care visits (Adjusted Incidence Rate Ratios (aIRR): 0.82; 95% CI: 0.76-0.88) compared with non-FQHC users. Statistically significant differences were not observed in emergency department visits (aIRR: 1.19; 95% CI: 0.98-1.46) and hospitalizations (aIRR: 1.03; 95% CI: 0.80-1.34). FQHCs provide comprehensive primary care to Medicaid managed care beneficiaries with diabetes in fewer PCP visits. Results provide evidence to health policy experts and MCOs to increase provider network contracting with FQHCs.

Can the adverse childhood experiences (ACEs) checklist be utilized to predict emergency department visits among children and adolescents?

BACKGROUND: Extensive literature has shown an association of Adverse Childhood Experiences (ACEs) with adverse health outcomes; however, its ability to predict events or stratify risks is less known. Individuals with mental illness and ACE exposure have been shown to visit emergency departments (ED) more often than those in the general population. This study thus examined the ability of the ACEs checklist to predict ED visits within the subsequent year among children and adolescents presenting to mental health clinics with pre-existing mental health issues. METHODS: The study analyzed linked data (n = 6100) from two databases provided by Alberta Health Services (AHS). The Regional Access and Intake System (RAIS 2016-2018) database provided data on the predictors (ACE items, age, sex, residence, mental health program type, and primary diagnosis) regarding children and adolescents (aged 0-17 years) accessing addiction and mental health services within Calgary Zone, and the National Ambulatory Care Reporting System (NACRS 2016-2019) database provided data on ED visits. A 25% random sample of the data was reserved for validation purposes. Two Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression models, each employing a different method to tune the shrinkage parameter lambda (namely cross-validated and adaptive) and performing 10-fold cross-validation for a set of 100 lambdas in each model were examined. RESULTS: The adaptive LASSO model had a slightly better fit in the validation dataset than the cross-validated model; however, it still demonstrated poor discrimination (AUC 0.60, sensitivity 37.8%, PPV 49.6%) and poor calibration (over-triaged in low-risk and under-triaged in high-risk subgroups). The model's poor performance was evident from an out-of-sample deviance ratio of - 0.044. CONCLUSION: The ACEs checklist did not perform well in predicting ED visits among children and adolescents with existing mental health concerns. The diverse causes of ED visits may have hindered accurate predictions, requiring more advanced statistical procedures. Future studies exploring other machine learning approaches and including a more extensive set of childhood adversities and other important predictors may produce better predictions. Furthermore, despite highly significant associations being observed, ACEs may not be deterministic in predicting health-related events at the individual level, such as general ED use.

The Effect of a Housing First Intervention on Acute Health Care Utilization among Homeless Adults with Mental Illness: Long-term Outcomes of the At Home/Chez-Soi Randomized Pragmatic Trial.

We assessed the effects of the Toronto Site Housing First (HF) intervention on hospitalizations and emergency department (ED) visits among homeless adults with mental illness over 7 years of follow-up. The Toronto Site is part of an unblinded multi-site randomized pragmatic trial of HF for homeless adults with mental illness in Canada, which followed participants up to 7 years. Five hundred seventy-five participants were recruited and classified as having high (HN) or moderate need (MN) for mental health support services. Each group was randomized into intervention (HF) and treatment as usual groups, and 567 (98.6%) consented to link their data to health administrative databases. HF participants received a monthly rent supplement of $600 (Canadian) and assertive community treatment (ACT) support or intensive care management (ICM) support based on need level. Treatment as usual (TAU) participants had access to social, housing, and health services generally available in the community. Outcomes included all-cause and mental health-specific hospitalization, number of days in hospital, and ED visit. We used GEE models to estimate ratio of rate ratios (RRR). The results showed HF with ACT had no significant effect on hospitalization rates among HN participants, but reduced the number of days in hospital (RRR = 0.32, 95% CI 0.16-0.63) and number of ED visits (RRR = 0.57, 95% CI 0.34-0.95). HF with ICM resulted in an increase in the number of hospitalizations (RRR = 1.69, 95% CI 1.09-2.60) and ED visit rates (RRR = 1.42, 95% CI 1.01-2.01) but had no effect in days in hospital for MN participants. Addressing the health needs of this population and reducing acute care utilization remain system priorities. Trial registration: http://www.isrctn.com/identifier: ISRCTN42520374.

Medical cannabis authorization and the risk of cardiovascular events: a longitudinal cohort study.

BACKGROUND: Cannabis is increasingly used for therapeutic purpose. However, its safety profile is not well known. This study assessed the risk of cardiovascular-related emergency department (ED) visit and hospitalization in adult patients authorized to use medical cannabis in Ontario, Canada from 2014 to 2017. METHODS: This is a longitudinal cohort study of patients who received medical cannabis authorization and followed-up in cannabis clinics, matched to population-based controls. The primary outcome was an ED visit or hospitalization for acute coronary syndrome (ACS) or stroke; and secondary outcome was for any cardiovascular event. Conditional Cox proportional hazards regression was used to assess the association between cannabis authorization and risk. RESULTS: 18,653 cannabis patients were matched to 51,243 controls. During a median follow-up of 242 days, the incidence rates for ACS or stroke were 7.19/1000 person-years and 5.67/1000 person-years in the cannabis and controls group, respectively- adjusted hazard ratio (aHR) of 1.44 (95% CI 1.08-1.93). When stratified by sex, the association was only statistically significant among males: aHR 1.77 (1.23-2.56). For the secondary outcome (any CV events), the aHR was 1.47 (1.26-1.72). The aHR among males and females were 1.52 (1.24-1.86) and 1.41 (1.11-1.79), respectively. Tested interaction between cannabis authorization and sex was not significant (p > 0.05). CONCLUSIONS: Medical cannabis authorization was associated with an increased risk of ED visits or hospitalization for CV events including stroke and ACS.

Use of the MMPI-2 personality profile in predicting 30-day ED-visits and readmissions following primary bariatric surgery.

BACKGROUND: Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is used for psychological screening of bariatric surgery (BS) candidates. To date, no studies have analyzed the relationship between MMPI-2 and early returns to hospital. The aim of this study was to determine whether high T scores on the MMPI-2 clinical scales were associated with early return to hospital after primary bariatric surgery. METHODS: Patients who completed an MMPI-2 evaluation, undergoing primary BS from 2014 to 2016 were evaluated. T score for the tested scales were collected and stratified into a high T score (T > 65) vs not (T < 65). The optimal 'cut-point' (specific number of high T scores predicting likelihood for 30-day ED-visit/hospital readmission) was calculated using Youden's Index (J) = Max(c) [sensitivity (c) + specificity (c) - 1], where c = number of scales with a T score > 65. Patients were stratified based on the optimal cut-point which was determined to be ≥ 4 high T scores. Univariate and multivariate logistic regression analyses were used to identify differences between groups and predictors for early ED-visits and hospital readmissions. RESULTS: 375 patients had psychological evaluations available for review. Patients were divided into those with ≥ 4 high T scores (Scr(≥4); n = 86) versus not (Scr (<4); n = 289). Multivariate analysis showed Scr(≥ 4) (aOR 2.99, CI 1.20-7.47; p = 0.019), bipolar disorder (aOR 4.82, CI 1.25-18.83; p = 0.022), and urgent hospital complications (aOR 6.81, CI 2.02-22.91; p = 0.002), were significant independent predictors of 30-day readmissions. Early ED-visits were significantly predicted by public insurance (aOR 3.30, CI 1.22-8.91; p = 0.019), but the effect of the Scr(≥4) profile (aOR 2.42, CI 0.97-6.09; p = 0.06), while influential, did not reach significance. CONCLUSION: Differences in personality traits may be associated increased 30-day readmissions following primary bariatric surgery. Our study represents a novel application of the MMPI-2.

Is PM2.5 associated with emergency department visits for mechanical ventilation in acute exacerbation of chronic obstructive pulmonary disease?

BACKGROUND: Patients with chronic obstructive pulmonary disease (COPD) can have recurrent exacerbations and acute respiratory failure (ARF) triggered by particulate matter with a diameter of ≤2.5 µm (PM2.5). To prevent ventilator shortages, this study investigated the short-term association between PM2.5 concentration and emergency department visits (EDVs) among patients with acute exacerbation of COPD (AECOPD) requiring mechanical ventilation (MV). METHODS: We conducted a time-series study to predict the PM2.5 concentration and number of ventilators needed. Daily counts of EDVs among AECOPD patients requiring ventilation from 2015 to 2019 were obtained from a hospital. Generalized linear models extending Poisson regression were used to explore the association of AECOPD with PM2.5 after controlling for the time trend, seasonal variations, and meteorological variables. RESULTS: Eight hundred seventy-five AECOPD patients receiving MV were recorded, of whom 734 received noninvasive ventilation and 141 received invasive ventilatory support. EDVs for AECOPD patients with ARF significantly increased by 3.5% (95% confidence interval [CI]: 2.51%-4.42%) per 10 µg m-3 increase in PM2.5 concentration. Among seasons, PM2.5 concentration had the strongest effect on AECOPD patients with ARF in spring (<24.5 °C), with a 1.64% (95% CI: -0.56% to 3.83%) increase in admissions per 10 µg m-3 increase in same-day PM2.5 concentration. The interquartile range increase of 20 µg m-3 between winter and spring was associated with an average EDV increase of 48.66%. CONCLUSION: This is the first study to predict the number of ventilators required by calculating quantitative estimates of the short-term effects of PM2.5 on EDVs for AECOPD patients with ARF. Adverse effects of PM2.5 on AECOPD patients requiring MV are evident, especially in the spring. Establishing protective standards and reducing the PM2.5 concentration to below various thresholds are urgently needed.

Effect of nationwide concurrent drug utilization review program on drug-drug interactions and related health outcome.

BACKGROUND: A computerized drug utilization review (DUR) program has provided physicians and pharmacists with alerts on drug-drug interactions (DDIs), drug-age precautions and therapeutic duplication in Korea since 2010. OBJECTIVE: The purpose of this study was to evaluate the impact of the DUR program on health outcomes associated with DDIs. METHODS: An uncontrolled before-after study was performed to investigate the impact of the nationwide DUR program on DDIs and related health outcomes. The study population consisted of people who used two types of DDI pairs before DUR implementation (from January 2009 to December 2010) and post-DUR implementation (from January 2012 to December 2013); (i) benzodiazepines with concurrent use of metabolic enzyme inhibitors and (ii) QTc (heart-rate corrected QT interval) prolongation agents. The main outcome measures were all-cause and cause-specific hospitalization admissions or emergency department (ED) visits. RESULTS: This study included 107 874 people who used benzodiazepines with enzyme inhibitors and 8489 who received co-medication of QTc prolongation agents. For patients receiving a combination of benzodiazepines and enzyme inhibitors, both all-cause hospitalization and cause-specific hospitalization decreased after DUR implementation, from 43.2% to 41.7% and from 4.6% to 4.5% (adjusted odds ratio [OR] = 0.96; 95% confidence interval (CI), 0.93-0.98; OR = 0.89, 95% CI = 0.84-0.99, respectively). For patients receiving co-medication of QTc prolongation agents, all-cause hospitalization (54.2%) was lower than before (54.9%) (OR = 0.87, 95% CI = 0.79-0.96), but no significant change was found for cause-specific hospitalization and ED visits. CONCLUSION: Implementation of a DUR program may reduce the adverse health outcomes posed by DDIs in patients on combination of benzodiazepines and enzyme inhibitors potentially QTc-prolongation agents.

Total Elbow Arthroplasty: A Descriptive Analysis of 170 Patients From a United States Integrated Health Care System.

PURPOSE: Total elbow arthroplasty (TEA) can be used, with varying degrees of success, for the treatment of rheumatoid arthritis, osteoarthritis, and distal humerus fractures and their sequelae in elderly patients. Some of the largest studies of TEA have included data from more than 20 years ago and may not reflect the current practice of TEA. We sought to describe a modern cohort of patients who underwent TEA in a United States integrated health care system. METHODS: All patients aged 18 years and older who underwent primary unilateral TEA from January 1, 2009, through March 31, 2018, were identified to conduct a descriptive study. The patients' characteristics and demographics, including age, body mass index, sex, diabetes status, American Society of Anesthesiologists classification, and surgical indication, were recorded. The crude cumulative revision probability as well as the 90-day postoperative incidence rate of emergency department visit, readmission, and mortality was calculated. RESULTS: A total of 170 patients met our inclusion criteria. The annual procedure volume nearly doubled, from 11 procedures in 2009 to 21 procedures in 2017. The most common indication for TEA was fracture (40.6%), followed by rheumatoid arthritis (36.5%). At 4-year follow up, the crude cumulative revision probability was 9.8% (95% confidence interval, 5.6%-16.9%). Of the 170 patients who underwent TEA, 43 (25.3%) experienced a 90-day emergency department visit, 24 (14.1%) experienced a 90-day readmission, and 2 (1.2%) died within 90 days postoperatively. CONCLUSIONS: This cohort of patients who underwent TEA using modern implants showed a notable increase in the volume of TEA over the study period, with more TEAs performed for trauma. The incidence of readmission and emergency department visits following TEA were high in this study. Further studies are needed to better define the current practice of TEA in the community at large. TYPE OF STUDY/LEVEL OF EVIDENCE: Therapeutic IV.