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In contrast, rotavirus inactivation shows multiple-hit kinetics and the sterilizing dose could not be calculated using current mathematical methods. Similarly, Streptococcus pneumoniae demonstrates multiple-hit kinetics. These variations in killing curves reveal an important gap in current mathematical formulae to determine sterility assurance levels. Here we propose a simple method to calculate the irradiation dose required for a single log10 reduction in bioburden (D10) value and sterilizing doses, incorporating both single- and multiple-hit kinetics, and taking into account the possible existence of a resistance shoulder for some pathogens following exposure to gamma-irradiation.
Conflicting evidence exists on the association between azithromycin use and cardiac events.
To compare the odds of cardiac events among new users of azithromycin relative to new users of amoxicillin using real-world data.
This retrospective cohort study used data from Truven Health Analytics MarketScan database from January 1, 2009, to June 30, 2015. Patients receiving either amoxicillin or azithromycin and enrolled in a health care plan 365 days before (baseline period) the dispensing date (index date) were included in the study. Patients were matched 11 on high-dimensional propensity scores. Data were analyzed from October 1, 2018, to December 31, 2019.
New use of azithromycin compared with new use of amoxicillin.
The primary outcome consisted of cardiac events, including syncope, palpitations, ventricular arrhythmias, cardiac arrest, or death as a primary diagnosis for hospitalization at 5, 10, and 30 days from the index date. AZD9291 clinical trial Logistic regression models were used to estimate odds ratios (ORs) wit with azithromycin compared with amoxicillin except among patients using other QT-prolonging drugs concurrently. Although azithromycin is a safe therapy, clinicians should carefully consider its use among patients concurrently using other QT-prolonging drugs.
This study found no association of cardiac events with azithromycin compared with amoxicillin except among patients using other QT-prolonging drugs concurrently. Although azithromycin is a safe therapy, clinicians should carefully consider its use among patients concurrently using other QT-prolonging drugs.
National efforts to improve safe opioid prescribing focus on preventing misuse, overdose, and opioid use disorder. This approach overlooks opportunities to better prevent other serious opioid-related harms in complex populations, such as older adult survivors of cancer. Little is known about the rates and risk factors for comprehensive opioid-related harms in this population.
To determine rates of multiple opioid-related adverse drug events among older adults who survived breast cancer and estimate the risk of these events associated with opioid use in the year after completing cancer treatment.
This retrospective cohort study used 2007 to 2016 Surveillance, Epidemiology and End Results-Medicare data from fee-for-service Medicare beneficiaries with first cancer diagnosis of stage 0 to III breast cancer at age 66 to 90 years from January 1, 2008, through December 31, 2015, who completed active breast cancer treatment. Data were analyzed from October 31, 2019, to June 10, 2020.
Repeated daily measure inge of serious adverse drug events related to substance misuse and other adverse drug events associated with opioid use. Clinicians should consider the comprehensive risks of managing cancer pain with long-term opioid therapy.
These findings suggest that among older adults who survived breast cancer, continued prescription opioid use in the year after completing active cancer treatment was associated with an immediate increased risk of a broad range of serious adverse drug events related to substance misuse and other adverse drug events associated with opioid use. Clinicians should consider the comprehensive risks of managing cancer pain with long-term opioid therapy.
Although evidence-based guidelines designed to minimize health care variation and promote effective care are widely accepted, creating guidelines alone does not often lead to the desired practice change. Such knowledge-to-practice gaps are well-recognized in the management of patients with abdominal wall hernia, where wide variation in patient selection and operative approach likely contributes to suboptimal patient outcomes. To create sustainable, scalable, and widespread adherence to evidence-based guidelines, it is imperative to better understand individual surgeon motivations and behaviors associated with surgical decision-making.
To evaluate the systematic application of the Theoretical Domains Framework (TDF) to explore motivations and behaviors associated with surgical decision-making in abdominal wall hernia practice to help inform the future design of theory-based interventions for desired practice and behavior change.
This qualitative study used purposive sampling to recruit 21 practicing surgand reputational concerns. These findings are important because they challenge traditional dogma, which relies mainly on dissemination of published evidence, education, and technical skills acquisition to achieve evidence-based practice. Such knowledge allows for the development of sustainable, theory-based interventions for adherence to evidence-based guidelines.
Air pollution is associated with cardiovascular outcomes. Specifically, fine particulate matter measuring 2.5 μm or less (PM2.5) is associated with thrombosis, stroke, and myocardial infarction. Few studies have examined particulate matter and stroke risk in individuals with atrial fibrillation (AF).
To assess the association of residential-level pollution exposure in 1 year and ischemic stroke in individuals with AF.
This cohort study included 31 414 individuals with AF from a large regional health care system in an area with historically high industrial pollution. All participants had valid residential addresses for geocoding and ascertainment of neighborhood-level income and educational level. Participants were studied from January 1, 2007, through September 30, 2015, with prospective follow-up through December 1, 2017. Data analysis was performed from March 14, 2018, to October 9, 2019.
Exposure to PM2.5 ascertained using geocoding of addresses and fine-scale air pollution exposure surfaces derived from a spatial saturation monitoring campaign and land-use regression modeling.
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