Silicosis In Denim Sandblasters: Aftershocks Of An Epidemic
Background: We add data from a single center reviewing risk factors for silicosis together with survival analysis and a perspective for lung transplantation.Methods: We reviewed medical records of denim sandblasters who were admitted to our center between January 2006 and December 2011. Several personal and occupational features, together with functional and radiologic data, were collected.Results: Of 219 denim sandblasters, 107 (48.9%) had been diagnosed as silicosis. Duration of exposure was an independent risk factor for development of silicosis. Seven (3.2%) patients died. FEV1
This study indicates that frailty and other age-related diseases could be prevented and significantly reduced in older adults. Getting our heart risk factors under control could lead to much healthier old ages. Unfortunately, the current obesity epidemic is moving the older population in the wrong direction, however our study underlines how even small reductions in risk are worthwhile." The study analysed data from more than 421,000 people aged 60-69 in both GP medical records and in the UK Biobank research study. Participants were followed up over ten years. The researchers analysed six factors that could impa...
Conclusion: In the United States, transplantation with ODD organs has increased dramatically, with noninferior outcomes in transplant recipients. Concerns about IRD behaviors and hepatitis C among donors lead to excess discard that should be minimized given the current organ shortage. Primary Funding Source: National Institutes of Health. PMID: 29710288 [PubMed - as supplied by publisher]
Hepatitis E virus (HEV) is one of the common causes of acute and chronic viral hepatitis with a global distribution. Genotypes 1 and 2 only affect humans and produce acute hepatitis epidemics in endemic regions (Asia, Africa). In non-endemic areas (America, Europe), genotypes 3 and 4 are considered a zoonosis and cause sporadic acute hepatitis. HEV has been described in solid organ transplant recipients, however data on lung transplant recipients are limited.
There is an opioid epidemic in the United States with increasing number of organ donation from drug-overdose donors (DODs). The outcomes of thoracic organ transplantation from DODs are not well described.
The drug abuse epidemic in the United States has led to an increased number of organ donors dying of drug intoxication (DI). Whether this increase crosses geographic boundaries remains unknown.
The opioid epidemic has resulted in loss of>40,000 lives yearly over the past decade in the United States. This tragic trend however has led to an increase in donor availability, and the number of heart transplant (HTx) is on the rise for the first time in over decades. The safety of use of heart from opioid overdose donor has not been validated.
I had the honor and privilege of rotating for three weeks on the transplant service where I experienced a lot of great medicine, surgery and the ethics that intertwines them. One late night on service I had the opportunity to travel to a different hospital and help the team harvest a liver and kidneys from a donor. Never had I seen anything more amazing than what I witnessed that night in my 24 years of life. When I first met the patient, she was already draped and prepped for surgery, supported by ventilators, and declared brain dead. I never saw her face. I said a small, quiet prayer over he...
In January, 2018, Academic Press published my bookPrecision Medicine and the Reinvention of Human Disease. This book has an excellent " look inside " at itsGoogle book site, which includes the Table of Contents. In addition, I thought it might be helpful to see the topics listed in the Book's index. Note that page numbers followed by f indicate figures, t indicate tables, and ge indicate glossary terms.AAbandonware, 270, 310geAb initio, 34, 48ge, 108geABL (abelson leukemia) gene, 28, 58ge, 95 –97Absidia corymbifera, 218Acanthameoba, 213Acanthosis nigricans, 144geAchondroplasia, 74, 143ge, 354geAcne, 54ge, 1...
The heart failure (HF) epidemic continues to grow, propelled by an aging population and life-prolonging medical advances. To improve patient-centered outcomes and reduce costs, providers must accurately identify patients at highest risk for rehospitalization and death. Most prognostic models in HF focus on comorbid conditions, physical, hemodynamic, and biomarker markers of HF severity.1
The heart failure (HF) epidemic continues to grow, propelled by an aging population and life-prolonging medical advances. To improve patient-centered outcomes and reduce costs, providers must accurately identify patients at highest risk for rehospitalization and death. Most prognostic models in HF focus on co-morbid conditions and the physical, hemodynamic and biomarker measures of HF severity.1