4/30/2023 0 Comments Dc the presence![]() ![]() The 130,000-square-foot building will provide space for a mix of classrooms, offices and collaboration areas. It also is located less than a mile from the university’s School of Continuing Studies. The newly acquired property builds upon the existing footprint of Georgetown University Law Center, which is within walking distance of the U.S. doi:10.1016/j.jaip.2023.01.A newly acquired property – 500 First Street NW in Washington, DC – will help Georgetown expand its presence on Capitol Hill, bring new opportunities for students, faculty and staff across its campuses and complete an entire city block of university properties. Diagnostic performance of a machine learning algorithm (asthma/chronic obstructive pulmonary disease differentiation classification) tool v primary care physicians and pulmonologists in asthma, COPD, and asthma/COPD overlap. “Subject to these validation and safety considerations, the tool has the potential to support a range of clinicians, including nurse practitioners, PCPs, pulmonologists, and respiratory experts functioning across health care facilities," wrote the researchers, "such as mini-clinics, outpatient or satellite care centers, and large hospitals, in distinguishing between asthma and COPD in patients 35 years and older, in whom other causes of respiratory symptoms have been excluded.” Rather, it should be used as an aid in addition to spirometry when diagnosing asthma, COPD, or ACO in patients. Furthermore, the AC/DC tool was not intended to be used to diagnose patients on their own. The researchers acknowledge some limitations to this study, including that it only studied patients 35 years and older the AC/DC tool cannot be used among younger patients. Additionally, average diagnostic accuracies were 73% (AC/DC tool), 50% (PCPs), and 61% (pulmonologists) vs the expert panel's diagnosis, respectively. The average diagnostic accuracy of the AC/DC tool was superior to that of PCPs (mean difference, 24% 95% CI, 17%-29% P <. Cases were evaluated by 180 PCPs and 180 pulmonologists from 9 countries and by the AC/DC tool to compare accuracy for diagnosing asthma, COPD, or ACO. Of the total, patients had asthma (n = 53), COPD (n = 43), ACO (n = 7), or other (n = 13). In total, 119 patients were evaluated and screened by an expert panel of 3 pulmonologists and 4 PCPs from 5 countries. FEV 1/forced vital capacity (FEV 1/FVC).Forced expiratory volume per 1 second (FEV 1).The tool initially included clinical characteristics of more than 400,000 patients 35 years or older, with a diagnosis of asthma, COPD, or ACO by a specialist (pulmonologists/allergists) between 20.įrom the data, 12 variables were identified as the most impactful: Using the Asthma/COPD Differentiation Classification (AC/DC) tool, the researchers of this study aimed to evaluate the accuracy of this machine learning tool in diagnosing patients with asthma, COPD, and asthma-COPD overlap (ACO) compared with PCPs and pulmonologists. The results of this multinational observational study were published in Journal of Allergy and Clinical Immunology.Īsthma and COPD are chronic respiratory diseases with overlapping symptoms and diagnostic criteria, which can pose a challenge for PCPs and pulmonologists to differentiate and diagnose. “Furthermore, the diagnostic accuracy of pulmonologists was superior to that of PCPs, as might be expected by virtue of their medical specialization.” “The primary objective of this study was met the average diagnostic accuracy of the AC/DC tool for these diagnoses was superior to that of PCPs and noninferior and superior to that of pulmonologists,” wrote the researchers of this study. ![]() ![]() An asthma/chronic obstructive pulmonary disease (COPD) differentiation classification tool was able to identify patients 35 years and older with asthma or COPD more accurately than primary care physicians (PCPs) and pulmonologists, a new study has found. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |