484 research outputs found
Disparity Outcomes in Patients Undergoing Pancreas Surgery at an Urban Tertiary Care Center
INTRODUCTION: Previous studies have shown significant disparities in pancreas cancer outcomes in African American (AA) compared to non-AA patients. Pancreas surgery continues to be associated with significant morbidity, however, there is little reported data on pancreas surgical outcomes by race. We sought to evaluate how race would affect surgical outcomes in an urban tertiary care center for patients undergoing pancreas surgery.
METHODS: A retrospective single-center analysis of patients undergoing pancreas surgery between January 2013 and September 2021 was performed. Patient demographics and post-surgical complications were collected and stratified by race. Area Deprivation Index (ADI) was used to determine patient socioeconomic status. Charlson Comorbidity Index (CCI) was calculated for comorbidities. Clavien-Dindo (CD) complications, as well as postoperative pancreatic fistula (POPF), delayed gastric emptying (DGE) and postpancreatectomy hemorrhage (PPH) were evaluated. Patient reoperation, readmission, and mortality in the 30- and 90- day period were collected and univariate and multivariate analyses were performed.
RESULTS: Among 461 patients, 82% (N = 378) were nonAA and 18% (N = 83) were AA. Age and sex were found to be significantly different between the two groups, while ADI and CCI were not. Length of stay (LOS), POPF, PPH, PPH grade C and intra-abdominal abscess (IAA) were found to be significant on univariate analysis in the AA cohort. On multivariate analysis, LOS (OR 4.0; 95% CI 2.0-5.7; p \u3c 0.001), POPF (OR 0.6; 95% CI 0.4-1.0; p = 0.043), PPH (OR 0.5; 95% CI 0.2-0.9; p = 0.022), PPH grade C (OR 0.2; 95% CI 0.1-0.7; p = 0.017) and IAA (OR 0.4; 95% CI 0.2-0.9; p = 0.017) were still significantly higher in the AA cohort.
CONCLUSIONS: AA patients undergoing pancreas surgery were noted to have a longer LOS, higher incidence of POPF, PPH and IAA compared to non-AA patients. However, no significant difference was seen in reoperation rates, major CD complications, or 30- and 90-day readmission. Elucidating patient selection, tumor biology, and preoperative treatment algorithms may shed additional insight on the differences in surgical outcomes in this particular patient cohort
Understanding uncertainty in temperature effects on vector-borne disease: A Bayesian approach
Extrinsic environmental factors influence the distribution and population
dynamics of many organisms, including insects that are of concern for human
health and agriculture. This is particularly true for vector-borne infectious
diseases, like malaria, which is a major source of morbidity and mortality in
humans. Understanding the mechanistic links between environment and population
processes for these diseases is key to predicting the consequences of climate
change on transmission and for developing effective interventions. An important
measure of the intensity of disease transmission is the reproductive number
. However, understanding the mechanisms linking and temperature, an
environmental factor driving disease risk, can be challenging because the data
available for parameterization are often poor. To address this we show how a
Bayesian approach can help identify critical uncertainties in components of
and how this uncertainty is propagated into the estimate of . Most
notably, we find that different parameters dominate the uncertainty at
different temperature regimes: bite rate from 15-25 C; fecundity across
all temperatures, but especially 25-32 C; mortality from
20-30 C; parasite development rate at 15-16C and again at
33-35C. Focusing empirical studies on these parameters and
corresponding temperature ranges would be the most efficient way to improve
estimates of . While we focus on malaria, our methods apply to improving
process-based models more generally, including epidemiological, physiological
niche, and species distribution models.Comment: 27 pages, including 1 table and 3 figure
Competing Conservation Objectives for Predators and Prey: Estimating Killer Whale Prey Requirements for Chinook Salmon
Ecosystem-based management (EBM) of marine resources attempts to conserve interacting species. In contrast to single-species fisheries management, EBM aims to identify and resolve conflicting objectives for different species. Such a conflict may be emerging in the northeastern Pacific for southern resident killer whales (Orcinus orca) and their primary prey, Chinook salmon (Oncorhynchus tshawytscha). Both species have at-risk conservation status and transboundary (Canada–US) ranges. We modeled individual killer whale prey requirements from feeding and growth records of captive killer whales and morphometric data from historic live-capture fishery and whaling records worldwide. The models, combined with caloric value of salmon, and demographic and diet data for wild killer whales, allow us to predict salmon quantities needed to maintain and recover this killer whale population, which numbered 87 individuals in 2009. Our analyses provide new information on cost of lactation and new parameter estimates for other killer whale populations globally. Prey requirements of southern resident killer whales are difficult to reconcile with fisheries and conservation objectives for Chinook salmon, because the number of fish required is large relative to annual returns and fishery catches. For instance, a U.S. recovery goal (2.3% annual population growth of killer whales over 28 years) implies a 75% increase in energetic requirements. Reducing salmon fisheries may serve as a temporary mitigation measure to allow time for management actions to improve salmon productivity to take effect. As ecosystem-based fishery management becomes more prevalent, trade-offs between conservation objectives for predators and prey will become increasingly necessary. Our approach offers scenarios to compare relative influence of various sources of uncertainty on the resulting consumption estimates to prioritise future research efforts, and a general approach for assessing the extent of conflict between conservation objectives for threatened or protected wildlife where the interaction between affected species can be quantified
Inhibition of intestinal epithelial apoptosis improves survival in a murine model of radiation combined injury
World conditions place large populations at risk from ionizing radiation (IR) from detonation of dirty bombs or nuclear devices. In a subgroup of patients, ionizing radiation exposure would be followed by a secondary infection. The effects of radiation combined injury are potentially more lethal than either insult in isolation. The purpose of this study was to determine mechanisms of mortality and possible therapeutic targets in radiation combined injury. Mice were exposed to IR with 2.5 Gray (Gy) followed four days later by intratracheal methicillin-resistant Staphylococcus aureus (MRSA). While either IR or MRSA alone yielded 100% survival, animals with radiation combined injury had 53% survival (p = 0.01). Compared to IR or MRSA alone, mice with radiation combined injury had increased gut apoptosis, local and systemic bacterial burden, decreased splenic CD4 T cells, CD8 T cells, B cells, NK cells, and dendritic cells, and increased BAL and systemic IL-6 and G-CSF. In contrast, radiation combined injury did not alter lymphocyte apoptosis, pulmonary injury, or intestinal proliferation compared to IR or MRSA alone. In light of the synergistic increase in gut apoptosis following radiation combined injury, transgenic mice that overexpress Bcl-2 in their intestine and wild type mice were subjected to IR followed by MRSA. Bcl-2 mice had decreased gut apoptosis and improved survival compared to WT mice (92% vs. 42%; p<0.01). These data demonstrate that radiation combined injury results in significantly higher mortality than could be predicted based upon either IR or MRSA infection alone, and that preventing gut apoptosis may be a potential therapeutic target
Comparing Adult Cannabis Treatment-Seekers Enrolled in a Clinical Trial with National Samples of Cannabis Users in the United States
Background—Cannabis use rates are increasing among adults in the United States (US) while the perception of harm is declining. This may result in an increased prevalence of cannabis use disorder and the need for more clinical trials to evaluate efficacious treatment strategies. Clinical trials are the gold standard for evaluating treatment, yet study samples are rarely representative of the target population. This finding has not yet been established for cannabis treatment trials. This study compared demographic and cannabis use characteristics of a cannabis cessation clinical trial sample (run through National Drug Abuse Treatment Clinical Trials Network) with three nationally representative datasets from the US; 1) National Survey on Drug Use and Health, 2) National Epidemiologic Survey on Alcohol and Related Conditions-III, and 3) Treatment Episodes Data Set – Admissions.
Methods—Comparisons were made between the clinical trial sample and appropriate cannabis using sub-samples from the national datasets, and propensity scores were calculated to determine the degree of similarity between samples.
Results—Results showed that the clinical trial sample was significantly different from all three national datasets, with the clinical trial sample having greater representation among older adults, African Americans, Hispanic/Latinos, adults with more education, non-tobacco users, and daily and almost daily cannabis users.
Conclusions—These results are consistent with previous studies of other substance use disorder populations and extend sample representation issues to a cannabis use disorder population. This illustrates the need to ensure representative samples within cannabis treatment clinical trials to improve the generalizability of promising findings
Risk Factors for Postcesarean Maternal Infection in a Trial of Extended-Spectrum Antibiotic Prophylaxis
To identify maternal clinical risk factors for postcesarean maternal infection in a randomized clinical trial of preincision extended-spectrum antibiotic prophylaxis
Future of Leadership in Healthcare: Enabling Complexity Dynamics Across Levels
Healthcare is one of the world\u27s fastest-growing industries with over $10 trillion in projected spending by 2022 (Deloitte, 2019). Despite this growth, the industry faces several challenges including rising costs, care delivery outside urban areas and to marginalized populations, digital transformation, and regulatory compliance. To navigate these challenges and capitalize on growth opportunities, leaders must build and manage complex dynamics occurring in the space between the organization and a wide range of internal and external stakeholders. In this symposium, we address this issue by assembling a group of scholars trained in healthcare management, strategy, leadership, and organizational theory to discuss the role of leaders in the future of healthcare. Through a series of presentations, we will illustrate how leaders in healthcare enable complexity dynamics across organizational levels to drive desired outcomes. In doing so, we bring to the forefront the multilevel and complex nature of healthcare leadership and invite innovative thinking about leadership for the future of healthcare.
Building Extra-Organizational Adaptive Networks: Complexity Leadership in Healthcare
Presenter: Erin Bass; U. of Nebraska, Omaha
Presenter: Ivana Milosevic; College of Charleston
Physician CEOs & Patient Safety
Presenter: Geoffrey Silvera; Auburn U.
Presenter: Timothy J. Vogus; Vanderbilt U.
Presenter: Jonathan Clark; U. of Texas At San Antonio
Management Practices of Under-Resourced Nursing Homes
Presenter: Justin Lord; Louisiana State U. Shreveport
Stitching Ties: Team Performance in the Connected Organization
Presenter: John Hollingsworth; U. of Michigan
Presenter: Jason Owen-Smith; U. of Michigan, Ann Arbor
Presenter: Dennie Kim; U. of Virginia Darden School of Business
Presenter: Marlon DeMarcie Twyman; U. of Southern California, Annenberg School for Communication and Journalism
Identifying Healthcare\u27s Future Leaders: Development of a Leadership Potential Model for Healthcare
Presenter: Kevin S. Groves; Pepperdine U.
Presenter: Ann E. Feyerherm; Pepperdine Graziadio Business Schoo
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A Randomized Placebo-Controlled Trial of \u3cem\u3eN\u3c/em\u3e-Acetylcysteine for Cannabis Use Disorder in Adults
Background—Cannabis use disorder (CUD) is a prevalent and impairing condition, and established psychosocial treatments convey limited efficacy. In light of recent findings supporting the efficacy of N-acetylcysteine (NAC) for CUD in adolescents, the objective of this trial was to evaluate its efficacy in adults.
Methods—In a 12-week double-blind randomized placebo-controlled trial, treatment-seeking adults ages 18–50 with CUD (N=302), enrolled across six National Drug Abuse Treatment Clinical Trials Network-affiliated clinical sites, were randomized in a 1:1 ratio to a 12-week course of NAC 1200 mg (n=153) or placebo (n=149) twice daily. All participants received contingency management (CM) and medical management. The primary efficacy measure was the odds of negative urine cannabinoid tests during treatment, compared between NAC and placebo participants.
Results—There was not statistically significant evidence that the NAC and placebo groups differed in cannabis abstinence (odds ratio = 1.00, 95% confidence interval 0.63 – 1.59; p=0.984). Overall, 22.3% of urine cannabinoid tests in the NAC group were negative, compared with 22.4% in the placebo group. Many participants were medication non-adherent; exploratory analysis within medication-adherent subgroups revealed no significant differential abstinence outcomes by treatment group.
Conclusions—In contrast with prior findings in adolescents, there is no evidence that NAC 1200 mg twice daily plus CM is differentially efficacious for CUD in adults when compared to placebo plus CM. This discrepant finding between adolescents and adults with CUD may have been influenced by differences in development, cannabis use profiles, responses to embedded behavioral treatment, medication adherence, and other factors
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