No abstract available.
Dyspnea*

No abstract available.
Dyspnea*

No abstract available.
Dyspnea*

OBJECTIVE: This cross-sectional study aimed to evaluate the effectiveness of the BLUE (Bedside lung ultrasound in emergency) protocol compared to clinicoradiologic diagnosis for promptly identifying acute undifferentiated dyspnea in pediatric patients. MATERIALS AND METHODS: Conducted at the emergency room of the Philippine Children's Medical Center from August 2022 to May 2023, the study involved performing the BLUE protocol within 2 hours of patient arrival. Chest radiography was also conducted, with images independently interpreted by a pediatric pulmonologist, emergency medicine specialist, and radiologist. The results were then compared to the clinicoradiologic findings. RESULTS: A total of 111 participants were included, with the majority being male (55.4%) and under 1 year old (48.2%). Pneumonia was the most observed diagnosis (88.2%), followed by asthma (7.2%). Utilizing the BLUE protocol, pneumonia was identified as the most prevalent diagnosis (81%), followed by pleural effusion (12.6%) and asthma (6%). The pulmonologist, emergency medicine specialist, and radiologist exhibited high sensitivity in diagnosing pneumonia (91.01%, 89.89%, 96.77% respectively) but low specificity (26%, 21%, 57.89%). Diagnosing pleural effusion and/or congestion showed high sensitivity (89%) and low specificity (21%) based on the pulmonologist's reading, low sensitivity (37%) and high specificity (99%) based on the emergency medicine specialist's reading, and 100% specificity based on the radiologist's reading. All readers demonstrated high specificity (95%, 93%, 93%) and low sensitivity (50%, 71%, 71%) in diagnosing asthma. The ultrasound readings between the readers exhibited a high concordance rate of 98%. CONCLUSION The study findings show that the BLUE protocol has high sensitivity in diagnosing pneumonia and high specificity in diagnosing asthma. The high concordance rate among readers suggests consistent ultrasound findings. These results support the practical application of the BLUE protocol for promptly diagnosing acute undifferentiated dyspnea in pediatric patients within the emergency department.
Dyspnea

No abstract available.
Dyspnea* ; Echocardiography*

No abstract available.
Dyspnea* ; Humans

No abstract available.
Dyspnea* ; Hypothyroidism*

Dyspnea ; etiology ; Humans ; Posture

OBJECTIVE: In processing high dimensional clinical data, choosing the optimal subset of features is important, not only for reduce the computational complexity but also to improve the value of the model constructed from the given data. This study proposes an efficient feature selection method with a variable threshold. METHODS: In the proposed method, the spatial distribution of labeled data, which has non-redundant attribute values in the overlapping regions, was used to evaluate the degree of intra-class separation, and the weighted average of the redundant attribute values were used to select the cut-off value of each feature. RESULTS: The effectiveness of the proposed method was demonstrated by comparing the experimental results for the dyspnea patients' dataset with 11 features selected from 55 features by clinical experts with those obtained using seven other classification methods. CONCLUSION: The proposed method can work well for clinical data mining and pattern classification applications.
Data Mining ; Dyspnea

Dyspnea ; diagnosis ; Humans ; Inhalation