:The ADO (age, dyspnea, and airflow obstruction) and BODE (body mass index, airflow obstruction, dyspnea, and exercise capacity) indices are often used to evaluate the prognoses for chronic obstructive pulmonary disease(COPD); however, an index suitable for predicting medical costs has yet to be developed. : We investigated the BODE and ADO indices to predict medical costs and compare their predictive power. A total of 396 patients with COPD were retrospectively enrolled. : For hospitalization frequencies, BODE was = 0.093 ( < 0.001), and ADO was = 0.065 ( < 0.001); for hospitalization days, BODE was = 0.128 ( < 0.001), and ADO was = 0.071 ( < 0.001); for hospitalization expenses, BODE was = 0.020 ( = 0.047), and ADO was = 0.012 ( = 0.179). BODE and ADO did not differ significantly in the numbers of outpatient visits (BODE, = 0.012, = 0.179; ADO, = 0.017, = 0.082); outpatient medical expenses (BODE, = 0.012, = 0.208; ADO, = 0.008, = 0.364); and total medical costs (BODE, = 0.018, = 0.072; ADO, = 0.016, = 0.098). In conclusion, BODE and ADO indices were correlated with hospitalization frequency and hospitalization days. However, the BODE index exhibits slightly better predictive accuracy than the ADO index in these items.
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http://dx.doi.org/10.3390/medicina59030577 | DOI Listing |
Cureus
October 2024
Section of Respiratory Medicine, Hospital General Universitario de Elche, Elche, ESP.
Background: Severe exacerbations are a significant predictor of poor prognosis and mortality in patients with chronic obstructive pulmonary disease (COPD). Multidimensional indices, such as the BODE (BMI, airflow obstruction, dyspnea, and exercise capacity) and ADO indices (age, dyspnea severity, and airflow obstruction), outperform single-variable assessments in predicting survival. However, anemia, a strong predictor of mortality in both the general population and COPD patients, has not been included in the prediction indices.
View Article and Find Full Text PDFBMC Pulm Med
November 2024
Department of Respiratory Therapy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 833, Taiwan.
Background And Objectives: The DOSE index, which incorporates Dyspnea, Obstruction, Smoking, and Exacerbations, is a widely used tool for assessing the severity and prognosis of Chronic Obstructive Pulmonary Disease (COPD). In addition to risk assessment, it has potential clinical utility in predicting healthcare costs, which are primarily driven by exacerbations. While several indices, such as the BODE (Body-mass index, Obstruction, Dyspnea, Exercise) and ADO (Age, Dyspnea, Obstruction) indices, exist for risk prediction, there is a lack of dedicated tools for forecasting healthcare costs.
View Article and Find Full Text PDFFirst referral hospitals, often known as district hospitals, are neglected in the discourse on universal health coverage in low-income and middle-income countries (LMICs). However, these hospitals are important for delivering safe surgery for 313 million people. This study aims to understand the structures, processes and outcomes of patients undergoing surgery in these centres in LMICs.
View Article and Find Full Text PDFEClinicalMedicine
September 2024
Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Background: Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of mortality. Predicting mortality risk in patients with COPD can be important for disease management strategies. Although all-cause mortality predictors have been developed previously, limited research exists on factors directly affecting COPD-specific mortality.
View Article and Find Full Text PDFBackground: Surgical-site infection (SSI) is one of the most common health-care-associated infections, substantially contributing to antibiotic use. Targeted antibiotic prophylaxis to prevent SSIs and effective treatment are crucial to controlling antimicrobial resistance (AMR). This study aimed to describe the testing capacity and multidrug resistance (MDR) of SSI microorganisms in low-income and middle-income countries (LMICs).
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