BACKGROUND: COPD is diagnosed by using FEV 1 /FVC, which has limitations as a diagnostic test. We assessed the validity of several measures derived from the expiratory phase of the flow-volume curve obtained from spirometry to diagnose COPD: the slopes that correspond to the volume expired after the 50% and 75% of the FVC, the slope formed between the peak expiratory flow (PEF) and the FVC, and the area under the expiratory flow/volume curve. METHODS: We conducted a cross-sectional diagnostic test study in 765 consecutive subjects referred for spirometry because of respiratory symptoms. We compared the reproducibility and accuracy of the proposed measures against post-bronchodilator FEV 1 /FVC < 0.70. We also evaluated the proportion of respiratory symptoms for the FEV 1 /FVC, FEV 1 per FEV in the first 6 s (FEV 6 ), and the PEF slope. RESULTS: The subjects had a mean age of 65.8 y, 57% were women, and 35% had COPD. The testretest intraclass correlation coefficient values were 0.89, 0.85, and 0.83 for FEV 1 /FVC, FEV 1 /FEV 6 , and the PEF slope, respectively. The area under the curve values were 0.93 (expiratory flow/volume), 0.96 (potential expiratory flow/volume), 0.97 (potential expiratory flow/volume at 75% of FVC), and 0.82 (potential expiratory flow/volume at 50% of FVC). The area under the receiver operating characteristic curve was 0.99 for FEV 1 /FEV 6 , 0.99 for the slope at 50% of the FVC, and 0.98 for the PEF slope. CONCLUSIONS: The FEV 1 /FEV 6 , PEF slope, and 50% FVC slopes had similar diagnostic performances compared with FEV 1 /FVC.
Objectives
This study aimed to compare the performance of the CURB-65, A-DROP, and NEWS scores for the prediction of clinical outcomes in patients with community-acquired pneumonia (CAP) in a Colombian population.
Materials and Methods
In this retrospective cohort study, we analyzed data from patients with CAP seen within the emergency department, general ward hospitalization, and intensive care unit in a tertiary care health institution located in Cundinamarca, from January 2012 to December 2020.
Results
A total of 1651 patients were included in our study. CURB-65 and A-DROP scores showed a good performance for primary outcomes related to in-hospital mortality and 30-day mortality with an area under the receiver operating characteristic curve (AUC-ROC) of 0.72 (95% confidence interval [CI], 0.69–0.76) and 0.69 (95% CI, 0.65–0.73), respectively. On the other hand, NEWS score exhibited an acceptable performance in predicting in-hospital mortality and 30-day mortality; furthermore, it showed better performance in anticipating the need for invasive mechanical ventilation and vasopressor therapy (AUC-ROC of 0.64 [95% CI, 0.59–0.69] and AUC-ROC of 0.65 [95% CI, 0.60–0.69], respectively).
Conclusions
Our findings suggest that, in patients with CAP, the use of CURB-65, A-DROP, and NEWS scores helps the clinician to predict in-hospital and 30-day mortality. However, NEWS score proves to be a more convenient tool to predict the need for several life support measures and management in the intensive care unit.
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.