Author Interviews, CHEST, Pulmonary Disease, Sleep Disorders / 12.12.2022
Severe Obstructive Sleep Apnea Associated with Increased Risk of Hospitalization with Pneumonia
MedicalResearch.com Interview with:
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Dr. Lutsey[/caption]
Pamela L. Lutsey, PhD, MPH
Minneapolis, Minnesota
Professor, Division of Epidemiology and Community Health
School of Public Health
University of Minnesota
MedicalResearch.com: What is the background for this study?
Response: Emerging evidence suggests that patients with OSA may be more susceptible to developing pneumonia. Mechanistically, OSA causes upper airway sensory dysfunction and excessive microaspirations, which can result in significant increases in bacterial organisms in the airway leading to upper airway and laryngeal inflammation. Systemically, healthy sleep is believed to play an important role in the body’s inflammation control and immune system regulation. Despite this evidence, few studies have prospectively evaluated whether individuals with OSA are at elevated risk of being hospitalized with pneumonia, respiratory infection, or any infection
Dr. Lutsey[/caption]
Pamela L. Lutsey, PhD, MPH
Minneapolis, Minnesota
Professor, Division of Epidemiology and Community Health
School of Public Health
University of Minnesota
MedicalResearch.com: What is the background for this study?
Response: Emerging evidence suggests that patients with OSA may be more susceptible to developing pneumonia. Mechanistically, OSA causes upper airway sensory dysfunction and excessive microaspirations, which can result in significant increases in bacterial organisms in the airway leading to upper airway and laryngeal inflammation. Systemically, healthy sleep is believed to play an important role in the body’s inflammation control and immune system regulation. Despite this evidence, few studies have prospectively evaluated whether individuals with OSA are at elevated risk of being hospitalized with pneumonia, respiratory infection, or any infection


Dr. Stefania Papatheodorou[/caption]
Stefania I. Papatheodorou, MD, PhD
Cyprus International Institute for Environmental and Public Health
Limassol, Cyprus
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Marijuana is the most commonly used illicit drug in the United States. Despite increasing use and acceptance of marijuana, both medically and recreationally, gaps remain in our knowledge regarding potential health effects.
In this study, we aimed to evaluate associations between recent marijuana use, exhaled Nitric Oxide (eNO) and pulmonary function. We performed a cross-sectional study of 10,327 US adults participating in the National Health and Nutrition Examination Survey (NHANES) in the years 2007 to 2012.
Exhaled Nitric Oxide was lower among participants who used marijuana in the past 0 to 4 days and those who last used marijuana 5 to 30 days before the examination compared with the never users. FEV1 was higher among participants who used marijuana within 0 to 4 days before the examination compared with those who never used marijuana, while FVC was higher in both past and current marijuana users compared with never users. The FEV1/FVC ratio was significantly lower among those who used marijuana in the 0 to 4 days before the examination compared with never users.
Dr. Daniel Murphy[/caption]
Daniel R. Murphy, M.D., M.B.A.
Assistant Professor - Interim Director of GIM at Baylor Clinic
Department of Medicine
Health Svc Research & General Internal Medicine
Baylor College of Medicine
Houston, TX
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Murphy: Electronic health records (EHRs) have improved communication in health care, but they have not eliminated the problem of patients failing to receive appropriate and timely follow up after abnormal test results. For example, after a chest x-ray result where a radiologist identifies a potentially cancerous mass and suggests additional evaluation, about 8% of patients do not receive follow-up imaging or have a visit with an appropriate specialist within 30 days. Identifying patients experiencing a delay with traditional methods, like randomly reviewing charts, is not practical. Fortunately, EHRs collect large amounts of data each day that can be useful in automating the process of identifying such patients.
We evaluated whether an electronic “trigger” algorithm designed to detect delays in follow up of abnormal lung imaging tests could help medical facilities identify patients likely to have experienced a delay. Of 40,218 imaging tests performed, the trigger found 655 with a possible delay. Reviewing a subset of these records showed that 61% were truly delays in care that required action. We also found that the trigger had a sensitivity of 99%, indicating that it missed very few actual delays.



















