Effect of Filtered Blood Return on Outcomes of Pulmonary Aspiration Thrombectomy.

OBJECTIVES: Although filtered blood reinfusion (FBR) can be implemented during aspiration thrombectomy for pulmonary embolism (PE), the effectiveness and risks of this technique remain unknown. The purpose of this study was to assess how utilization of FBR affects procedural outcomes. MATERIALS AND METHODS: A total of 171 patients who underwent aspiration thrombectomy for intermediate-high or high risk PE between December 2018 and September 2022 were included, 84 of whom underwent thrombectomy with FBR and 87 without. Demographic data, vital signs, laboratory values, procedural details, pulmonary arterial pressures, transfusion needs, length of hospital stay, and procedure-related complications were recorded. RESULTS: The groups did not differ at baseline, other than the FBR cohort having a higher percentage of females. There was no significant difference in post-procedural vitals or pulmonary arterial pressure. Mean fluoroscopy time and volume of IV contrast were lower in the FBR cohort. The drop in hemoglobin was lower in the FBR group at both 12 (FBR: -1.065; no FBR: -1.742, P: >0.001) and 24 hrs (FBR: -1.526; no FBR: -2.380, P: >0.001) post procedure; accordingly, fewer patients required transfusions in the FRB cohort (FBR: 8; no FBR: 20, P: 0.016). There was no difference in the number or severity of adverse events or duration of Intensive Care Unit or hospital admission. CONCLUSIONS: FBR use during aspiration pulmonary thrombectomy reduces blood loss and transfusion requirements but has no significant effect on surrogate markers of procedural success or adverse event rates.

Temporal trends and characteristics associated with racial, ethnic, and sex representation in COVID-19 clinical trials: A systematic review and meta-analysis.

BACKGROUND: Early in the pandemic, extensive attention was cast on limited inclusion of historically underrepresented patient populations in COVID-19 clinical trials. How diverse representation improved following these initial reports remains unclear. METHODS: PubMed, Embase and the Cochrane Library were searched (through April 2024) for US-based COVID-19 trials. Utilizing random-effects, we compared expected proportions of trial participants from racial and ethnic groups and of female sex between trials enrolling primarily in 2020 versus primarily 2021-2022. Meta-regression was performed to assess associations between trial characteristics and group representation. RESULTS: We retrieved 157 studies comprising 198,012 participants. White (2020: 63.1% [95% CI, 60.8%-67.3%]; 2021-2022: 73.8% [95% CI, 71.5%-76.0%]) and female representation (2020: 46.1% [95% CI, 44.7%-47.4%)]; 2021-2022: 51.1% [95% CI, 49.3%-52.8%) increased across enrollment periods. Industry-sponsored trials were associated with higher White (coefficient, 0.10 [95% CI, 0.03-0.18]) and Hispanic or Latinx representation (coefficient, 0.16 [95% CI, 0.08-0.25]) and lower Asian (coefficient, -0.03 [95% CI, -0.06- -0.003]) and female representation (coefficient, -0.03 [95% CI, -0.07- -0.002]). Outpatient trials were associated with higher White (coefficient, 0.20 [95% CI, 0.13-0.26]) and female representation (coefficient, 0.16 [95% CI, 0.13-0.18]), and lower Black representation (coefficient, -0.10 [95% CI, -0.10- -0.08]). CONCLUSIONS: Despite improved female representation in COVID-19 trials over time, there was no clear increase in non-White representation. Trial characteristics such as primary sponsor, clinical setting, and intervention type correlate with representation of specific demographic groups and should be considered in future efforts to improve participant diversity.

Using Structured Observations to Evaluate the Effects of a Personalized Music Intervention on Agitated Behaviors and Mood in Nursing Home Residents With Dementia: Results From an Embedded, Pragmatic Randomized Controlled Trial.

OBJECTIVE: The objective of this research was to determine if a personalized music intervention reduced the frequency of agitated behaviors as measured by structured observations of nursing home (NH) residents with dementia. DESIGN: The design was a parallel, cluster-randomized, controlled trial. SETTING: The setting was 54 NH (27 intervention, 27 control) from four geographically-diverse, multifacility NH corporations. PARTICIPANTS: The participants were 976 NH residents (483 intervention, 493 control) with Alzheimer's disease or related dementias (66% with moderate to severe symptoms); average age 80.3 years (SD: 12.3) and 25.1% were Black. INTERVENTION: The intervention was individuals' preferred music delivered via a personalized music device. MEASUREMENT: The measurement tool was the Agitated Behavior Mapping Instrument, which captures the frequency of 13 agitated behaviors and five mood states during 3-minute observations. RESULTS: The results show that no verbally agitated behaviors were reported in a higher proportion of observations among residents in NHs randomized to receive the intervention compared to similar residents in NHs randomized to usual care (marginal interaction effect (MIE): 0.061, 95% CI: 0.028-0.061). Residents in NHs randomized to receive the intervention were also more likely to be observed experiencing pleasure compared to residents in usual care NHs (MIE: 0.038; 95% CI: 0.008-0.073)). There was no significant effect of the intervention on physically agitated behaviors, anger, fear, alertness, or sadness. CONCLUSIONS: The conclusions are that personalized music may be effective at reducing verbally-agitated behaviors. Using structured observations to measure behaviors may avoid biases of staff-reported measures.

Pragmatic Trial of Personalized Music for Agitation and Antipsychotic Use in Nursing Home Residents With Dementia.

OBJECTIVE: To test the effect of a personalized music intervention on agitated behaviors and medication use among long-stay nursing home residents with dementia. DESIGN: Pragmatic, cluster-randomized controlled trial of a personalized music intervention. Staff in intervention facilities identified residents' early music preferences and offered music at early signs of agitation or when disruptive behaviors typically occur. Usual care in control facilities may include ambient or group music. SETTING AND PARTICIPANTS: The study was conducted between June 2019 and February 2020 at 54 nursing homes (27 intervention and 27 control) in 10 states owned by 4 corporations. METHODS: Four-month outcomes were measured for each resident. The primary outcome was frequency of agitated behaviors using the Cohen-Mansfield Agitation Inventory. Secondary outcomes included frequency of agitated behaviors reported in the Minimum Data Set and the proportion of residents using antipsychotic, antidepressant, or antianxiety medications. RESULTS: The study included 976 residents with dementia [483 treatment and 493 control; mean age = 80.3 years (SD 12.3), 69% female, 25% African American]. CMAI scores were not significantly different (treatment: 50.67, SE 1.94; control: 49.34, SE 1.68) [average marginal effect (AME) 1.33, SE 1.38, 95% CI -1.37 to 4.03]. Minimum Data Set-based behavior scores were also not significantly different (treatment: 0.35, SE 0.13; control: 0.46, SE 0.11) (AME -0.11, SE 0.10, 95% CI -0.30 to 0.08). Fewer residents in intervention facilities used antipsychotics in the past week compared with controls (treatment: 26.2, SE 1.4; control: 29.6, SE 1.3) (AME -3.61, SE 1.85, 95% CI -7.22 to 0.00), but neither this nor other measures of psychotropic drug use were statistically significant. CONCLUSIONS AND IMPLICATIONS: Personalized music was not significantly effective in reducing agitated behaviors or psychotropic drug use among long-stay residents with dementia. Barriers to full implementation included engaging frontline nursing staff and identifying resident's preferred music.

Community-level factors and incidence of gun violence in the United States, 2014-2017.

RATIONALE AND OBJECTIVE: In the United States, gun violence claims thousands of lives each year and is a pressing public health issue. To gain a better understanding of this phenomenon, this study spatially analyzed county- and state-level predictors of yearly gun violence rates and gun-related casualty rates. METHODS: This study modeled hypothesized predictors of gun violence incidence and casualties across four years. Data sources included the Gun Violence Archive (gun violence data in the United States for 2014-2017), the U.S. Census Bureau (socioeconomic, demographic, geologic features), ICPSR (crime reports), the U.S. Geologic Survey (elevation data), and U.S. gun laws and ownership. Random forest analyses identified relevant additional interaction terms to include. RESULTS: The extent to which counties are urban was the most robust predictor of both gun violence incident and casualty rates. Similarly, places characterized by greater income disparity were also more likely to experience higher gun violence rates, especially when high income was paired with high poverty. CONCLUSIONS: Community- and state-level features are markedly associated with gun violence. Gun violence is higher in counties with both high median incomes and higher levels of poverty; poverty did not seem related to gun violence rates in counties with relatively low median incomes. Some of these findings may well be due to racial segregation and concentrated disadvantage, due to institutional racism, police-community relations, and related factors.