Prevalence and outcomes of pulmonary embolism with sickle cell disease: Analysis of the Nationwide Inpatient Sample, 2016-2020.

INTRODUCTION: The outcomes of pulmonary embolism (PE) in sickle cell disease (SCD) are poorly established in the literature. This study examined the prevalence and outcomes of patients with PE and SCD. METHODS: The National Inpatient Sample was used to identify patients' data with a diagnosis of PE and SCD in the United States from 2016 to 2020 using the International Classification of Disease, 10th Revision codes. Logistic regression was used to compare outcomes between those with and without SCD. RESULTS: Of the 405 020 patients with PE, 1504 (0.4%) had SCD, and 403 516 (99.6%) did not have SCD. The prevalence of PE with SCD was stable. Patients in the SCD group were more likely to be female (59.5% vs. 50.6%; p < .0001), Black (91.7% vs. 54.4%; p < .0001), with a lower rate of comorbidities. The SCD group had higher in-hospital mortality (odds ratio [OR] = 1.41, 95% confidence interval [CI]:1.08-1.84; p = .012) but lower catheter-directed thrombolysis (OR = 0.23, 95% CI: 0.08-0.64; p = .005), mechanical thrombectomy (OR = 0.59, 95% CI: 0.41-0.64; p < .0029), and inferior vena cava filter placement (OR = 0.47, 95% CI: 0.33-0.66; p < .001). CONCLUSION: In-hospital mortality remains high in PE with SCD. A proactive approach, including maintaining a high index of suspicion for PE, is needed to reduce in-hospital mortality.

Clinical and demographic factors associated with stimulant use disorder in a rural heart failure population.

BACKGROUND: Heart failure is becoming increasingly common among patients under 50 years of age, particularly in African Americans and patients with stimulant use disorder. Yet the sources of these disparities remain poorly understood. This study identified key demographic and clinical factors associated with stimulant use disorder in a largely rural heart failure patient registry. METHODS: Patient records reporting a diagnosis of heart failure between January 2008 and March 2020 were requested from West Virginia University Hospital Systems (n=37,872). Odds of stimulant use disorder were estimated by demographic group (age, race, sex), insurance carrier, and clinical comorbidities using logistic regression. RESULTS: Multivariable regression analysis identified higher odds of stimulant use disorder among Black/African Americans (1.95 [1.32, 2.77]) and patients who report drinking one or more alcoholic drinks per week (2.23 [1.72, 2.88]). Lower odds of stimulant use disorder were identified among patients with hypertension (0.59 [0.47, 0.73]), or diabetes (0.65 [0.52, 0.81]).. Likewise, lower odds of stimulant use disorder were noted among females, patients older than 30 years of age and those not enrolled in Medicaid. CONCLUSION: These results highlight the alarming extent to which Medicaid enrollees, Black/African Americans, people aged 18-24 and 25-44, or persons with a past alcohol use disorder diagnosis are associated with stimulant use disorder among heart failure populations living in largely rural areas. Additionally, they emphasize the need to develop policies and refine clinical care that affects this vulnerable population's prognoses.

In-Hospital Outcomes of Inflammatory Bowel Diseases in Patients With Diabetes Mellitus: A Propensity Score Matching Analysis.

Introduction Inflammatory bowel disease (IBD) is increasingly common among patients with other comorbid chronic conditions, particularly diabetes mellitus (DM). Yet, studies that explored the impact of comorbid diabetes on the outcomes of IBD are scanty. Therefore, this study aims to examine the outcomes of inflammatory bowel disease among hospitalized patients with diabetes mellitus. Methods Using the Nationwide Inpatient Sampling (NIS) database from 2016 to 2018, we identified patients' records with a diagnosis of IBD using the International Classification of Diseases, Tenth Revision codes (ICD-10). The overall study population was further stratified by diabetes mellitus status. We matched patients with IBD and diabetes mellitus (IBD DM) with IBD cohorts using a greedy propensity score matching (PSM) ratio of 1:1 and compared in-hospital outcomes between the two cohorts. Conditional logistic regression was performed to estimate the odds of outcomes. Results Out of the 192,456 hospitalizations for IBD, 34,073 (7.7%) had comorbid IBD DM and 158,383 (92.3%) had no diabetes mellitus (IBD only). Patients with IBD DM are likely to be older. They have higher rates of hypertension, hyperlipidemia, coronary artery disease, obesity, peripheral vascular disease, congestive heart failure, chronic kidney disease, chronic lung disease, chronic liver disease, and stroke than the IBD cohort. After propensity score matching, IBD DM was associated with a lower adverse outcome [odds ratio (OR): 0.96, confidence interval (CI): 0.93 - 0.99, p < 0.01], IBD-related complications (intestinal or rectal fistula, intra-abdominal abscess, toxic colitis, intestinal perforation, intestinal obstruction, toxic megacolon, abscess of the abdomen, and perianal abscess), (OR: 0.76, CI: 0.72 - 0.80, P <0.01), IBD-related surgery (intestinal resections, incision, and excisions of intestine and manipulations of the rectosigmoid, rectal and perianal) (OR: 0.90, CI: 0.85 - 0.95, P <0.01). Furthermore, IBD DM was associated with a higher sepsis complication than the IBD-only cohort (OR: 1.24, CI: 1.19 - 1.30, P <0.01). Conclusion Our results highlight the extent to which diabetes mellitus impacts IBD outcomes and prognosis. Additionally, they emphasize the clinical awareness needed in the management of those with comorbid diseases.

Identifying high-risk areas for nonfatal opioid overdose: a spatial case-control study using EMS run data.

PURPOSE: The objective of our study was to incorporate stricter probable nonfatal opioid overdose case criteria, and advanced epidemiologic approaches to more reliably detect local clustering in nonfatal opioid overdose activity in EMS runs data. METHODS: Data were obtained using emsCharts for our study area in southwestern Pennsylvania from 2007 to 2018. Cases were identified as emergency medical service (EMS) responses where naloxone was administered, and improvement was noted in patient records between initial and final Glasgow Coma Score. A subsample of all-cause EMS responses sites were used as controls and exact matched to cases on sex and 10-year-age category. Clustering was assessed using difference in Ripley's K function for cases and controls and Kulldorff scan statistics. RESULTS: Difference in K functions indicated no significant difference in probable nonfatal overdose EMS runs across the study area compared to all-cause EMS runs. However, scan statistics did identify significant local clustering of probable nonfatal overdose EMS runs (maximum likelihood = 16.40, P = 0.0003). CONCLUSIONS: Results highlight relevance of EMS data to detect community-level overdose activity and promote reliable use through stricter case definition criteria and advanced methodological approaches. Techniques examined have the potential to improve targeted delivery of neighborhood-level public health response activities using a near real-time data source.