Browsing by Subject "Dyspnea"

Now showing 1 - 3 of 3
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    Independent evaluation of a simple clinical prediction rule to identify right ventricular dysfunction in patients with shortness of breath
    (WB Saunders, 2015-04) Russell, Frances M.; Moore, Christopher L.; Courtney, D. Mark; Kabrhel, Christopher; Smithline, Howard A.; Nordenholz, Kristen E.; Richman, Peter B.; O’Neil, Brian J.; Plewa, Michael C.; Beam, Daren M.; Mastouri, Ronald; Kline, Jeffrey A.; Emergency Medicine, School of Medicine
    BACKGROUND: Many patients have unexplained persistent dyspnea after negative computed tomographic pulmonary angiography (CTPA). We hypothesized that many of these patients have isolated right ventricular (RV) dysfunction from treatable causes. We previously derived a clinical decision rule (CDR) for predicting RV dysfunction consisting of persistent dyspnea and normal CTPA, finding that 53% of CDR-positive patients had isolated RV dysfunction. Our goal is to validate this previously derived CDR by measuring the prevalence of RV dysfunction and outcomes in dyspneic emergency department patients. METHODS: A secondary analysis of a prospective observational multicenter study that enrolled patients presenting with suspected PE was performed. We included patients with persistent dyspnea, a nonsignificant CTPA, and formal echo performed. Right ventricular dysfunction was defined as RV hypokinesis and/or dilation with or without moderate to severe tricuspid regurgitation. RESULTS: A total of 7940 patients were enrolled. Two thousand six hundred sixteen patients were analyzed after excluding patients without persistent dyspnea and those with a significant finding on CTPA. One hundred ninety eight patients had echocardiography performed as standard care. Of those, 19% (95% confidence interval [CI], 14%-25%) and 33% (95% CI, 25%-42%) exhibited RV dysfunction and isolated RV dysfunction, respectively. Patients with isolated RV dysfunction or overload were more likely than those without RV dysfunction to have a return visit to the emergency department within 45 days for the same complaint (39% vs 18%; 95% CI of the difference, 4%-38%). CONCLUSION: This simple clinical prediction rule predicted a 33% prevalence of isolated RV dysfunction or overload. Patients with isolated RV dysfunction had higher recidivism rates and a trend toward worse outcomes.
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    Predictors of emergency medical services use by adults with heart failure; 2009-2017
    (Elsevier, 2020-09) Pressler, Susan J.; Jung, Miyeon; Lee, Christopher S.; Arkins, Thomas P.; O'Donnell, Daniel; Cook, Ryan; Bakoyannis, Giorgos; Newhouse, Robin; Gradus-Pizlo, Irmina; Pang, Peter S.; Emergency Medicine, School of Medicine
    BACKGROUND: Heart failure (HF) necessitates frequent transport by emergency medical services (EMS), but few studies have been conducted to evaluate predictors of EMS use and of multiple EMS transports that are amenable to intervention. OBJECTIVES: To characterize prehospital clinical status of community-dwelling adults with reported HF who used EMS across 8 years and to evaluate predictors of EMS use and multiple EMS transports. METHODS: Data were from a database in a large Midwestern county. Descriptive statistics, logistic and negative binomial regression were used for analysis. RESULTS: EMS transports were evaluated for 6582 adults with 16,905 transports. The most common chief complaints were respiratory problems, feeling sick, and chest pain. Shortness of breath, chest pain, level of consciousness, age, gender, race, and hospital site predicted multiple transports. CONCLUSIONS: Clinicians need to educate patients with HF about ways to manage shortness of breath and chest pain and when to activate EMS.
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    Symptoms and symptom clusters associated with SARS-CoV-2 infection in community-based populations: Results from a statewide epidemiological study
    (Public Library of Science, 2021-03-24) Dixon, Brian E.; Wools-Kaloustian, Kara K.; Fadel, William F.; Duszynski, Thomas J.; Yiannoutsos, Constantin; Halverson, Paul K.; Menachemi, Nir; Epidemiology, Richard M. Fairbanks School of Public Health
    Background: Prior studies examining symptoms of COVID-19 are primarily descriptive and measured among hospitalized individuals. Understanding symptoms of SARS-CoV-2 infection in pre-clinical, community-based populations may improve clinical screening, particularly during flu season. We sought to identify key symptoms and symptom combinations in a community-based population using robust methods. Methods: We pooled community-based cohorts of individuals aged 12 and older screened for SARS-CoV-2 infection in April and June 2020 for a statewide prevalence study. Main outcome was SARS-CoV-2 positivity. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for individual symptoms as well as symptom combinations. We further employed multivariable logistic regression and exploratory factor analysis (EFA) to examine symptoms and combinations associated with SARS-CoV-2 infection. Results: Among 8214 individuals screened, 368 individuals (4.5%) were RT-PCR positive for SARS-CoV-2. Although two-thirds of symptoms were highly specific (>90.0%), most symptoms individually possessed a PPV <50.0%. The individual symptoms most greatly associated with SARS-CoV-2 positivity were fever (OR = 5.34, p<0.001), anosmia (OR = 4.08, p<0.001), ageusia (OR = 2.38, p = 0.006), and cough (OR = 2.86, p<0.001). Results from EFA identified two primary symptom clusters most associated with SARS-CoV-2 infection: (1) ageusia, anosmia, and fever; and (2) shortness of breath, cough, and chest pain. Moreover, being non-white (13.6% vs. 2.3%, p<0.001), Hispanic (27.9% vs. 2.5%, p<0.001), or living in an Urban area (5.4% vs. 3.8%, p<0.001) was associated with infection. Conclusions: Symptoms can help distinguish SARS-CoV-2 infection from other respiratory viruses, especially in community or urgent care settings where rapid testing may be limited. Symptoms should further be structured in clinical documentation to support identification of new cases and mitigation of disease spread by public health. These symptoms, derived from asymptomatic as well as mildly infected individuals, can also inform vaccine and therapeutic clinical trials.