Lung ultrasound (LUS) is a largely employed diagnostic tool but an operational protocol for implementation has never been proposed. The lack of standardization clearly introduces variability in LUS results. We enrolled adult patients presenting for acute dyspnea with a clinical suspect of etiology related to heart failure. We calculated agreement among four providers in assessing B-lines. We varied probes, depth, evaluation time and scanning areas and we estimated the importance of each factors on B-lines assessment. Overall agreement among raters varied from a kappa of 0.70 to 0.81. The mean number of B-lines was 5.44 (95% confidence interval, CI, 4.1-6.8). This estimate did not suffer variation by the depth used (0.03, 95% CI -0.2-0.2, more B-lines, using 19 cm versus 10 cm). The use of a convex probe and expertise in LUS reduced the number of artifacts by 1.7 (95% CI 1.5-1.9) and 1.1 in comparison with a phased array probe and naive operators. Evaluation time increased estimates by 1.2 (95% CI 1-1.5) and 2.9 (95% CI 2.7-3.9) B-lines for 4" and 7" clips (reference was 2" clips). This study suggests that the probe, the evaluation time and the level of expertise might affect the results of quantitative assessment of B-lines.
The evidence that severe coronavirus disease 2019 (COVID-19) is a risk factor for development of mycotic respiratory infection with an increased mortality is rising. Immunosuppressed are among the most susceptible patients and Aspergillus species is the most feared superinfection. In this study we evaluated mycotic isolation prevalence on bronchoalveolar lavage (BAL) of patients who underwent bronchoscopy in search of severe acute respiratory coronavirus 2 (SARS-CoV-2) RNA. Moreover, we described the clinical characteristics and main outcomes of these patients. We included 118 patients, 35.9% of them were immunosuppressed for different reasons: in 23.7% we isolated SARS-CoV-2 RNA, in 33.1% we identified at least one mycotic agent and both in 15.4%. On BAL we observed in three cases Aspergillus spp, in six cases Pneumocystis and in 32 Candida spp. The prevalence of significant mold infection was 29.3% and 70.7% of cases were false positive or clinically irrelevant infections. In-hospital mortality of patients with fungal infection was 15.3%. The most frequent computed tomography (CT) pattern, evaluated with the Radiological Society of North America consensus statement, among patients with a mycotic pulmonary infection was the atypical one (p < 0.0001). Mycotic isolation on BAL may be interpreted as an innocent bystander, but its identification could influence the prognosis of patients, especially in those who need invasive investigations during the COVID-19 pandemic; BAL plays a fundamental role in resolving clinical complex cases, especially in immunosuppressed patients independently from radiological features, without limiting its role in ruling out SARS-CoV-2 infection.
Background/Introduction Syncope is still a challenge for risk stratification in the Emergency Department (ED), and the indication to discharge is not well established for all patients. Purpose To evaluate diagnostic accuracy and clinical utility of integration of clinical assessment and point-of-care ultrasound (POCUS) in evaluating non high-risk syncopes in the ED. Methods This observational prospective cohort study enrolled patients between February 2016 and January 2019. All adult patients presenting in the ED for a non-high risk syncope were eligible (defined according to the 2015 ESC consensus on management of syncope in the ED). Subject for whom event etiology was identified right after the clinical assessment (i.e. history, physical exam, and EKG) or showing a clinical high risk for short term serious outcomes or refuse to participate in the study were excluded. After the initial clinical assessment, the physician responsible for patient care was asked to categorize the syncope as low or neither high nor low risk. Immediately after, the same physician performed POCUS, and a new risk assessment, based on the results of both clinical and sonographic findings, was recorded. Thirty days after the ED evaluation, all participants were telephonically followed up by the investigators in order to assess the risk of short-term outcomes as defined in the San Francisco Syncope Rule cohorts. Both diagnostic accuracy, defined as sensitivity (SE) and specificity (SPE), and clinical utility, evaluated as net reclassification index (NRI) and net benefit were evaluated for clinical and POCUS-integrated assessment. Results A total of 415 patients with a syncope were eligible. Of these, 194 were enrolled (107 women - 55.2%). Median age was 63 years (interquartile range, IQR, 30 years). During the follow up, 21 patients experienced 28 events. SE and SPE of the clinical evaluation were 33.3% (95% confidence interval, CI, 14.6–57%) and 79.5% (95% CI 72.7–85.3%), and they were 42.9% (95% CI 21.8–66%), and 92.4% (95% CI 87.4–95.9) for the POCUS-integrated evaluation (p<0.01 for SE and 0.05 for SPE). NRI for events and non-events during follow up was 9.5% and 12.7%, respectively. Using the prevalence of events in our cohort (10.8%) as the threshold probability, the use of the POCUS-integrated approach would reduce the diagnostic error of the clinical evaluation by 4.6 cases/100 patients. The median time between clinical and POCUS-integrated evaluation was 15 minutes (iqr 20 minutes). Conclusion The results of our study suggest that the integration of the clinical evaluation with POCUS for patients presenting to the ED for non high-risk syncope might be able to increase the diagnostic accuracy and the utility of the clinical assessment alone.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.