Search

BackgroundThe World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with an accelerated decline in lung function, diminished quality of life, and higher mortality. Accurate early detection of acute exacerbations will enable early management and reduce mortality. ObjectiveThe aim of this study was to develop a prediction system using lifestyle data, environmental factors, and patient symptoms for the early detection of AECOPD in the upcoming 7 days. MethodsThis prospective study was performed at National Taiwan University Hospital. Patients with COPD that did not have a pacemaker and were not pregnant were invited for enrollment. Data on lifestyle, temperature, humidity, and fine particulate matter were collected using wearable devices (Fitbit Versa), a home air quality–sensing device (EDIMAX Airbox), and a smartphone app. AECOPD episodes were evaluated via standardized questionnaires. With these input features, we evaluated the prediction performance of machine learning models, including random forest, decision trees, k-nearest neighbor, linear discriminant analysis, and adaptive boosting, and a deep neural network model. ResultsThe continuous real-time monitoring of lifestyle and indoor environment factors was implemented by integrating home air quality–sensing devices, a smartphone app, and wearable devices. All data from 67 COPD patients were collected prospectively during a mean 4-month follow-up period, resulting in the detection of 25 AECOPD episodes. For 7-day AECOPD prediction, the proposed AECOPD predictive model achieved an accuracy of 92.1%, sensitivity of 94%, and specificity of 90.4%. Receiver operating characteristic curve analysis showed that the area under the curve of the model in predicting AECOPD was greater than 0.9. The most important variables in the model were daily steps walked, stairs climbed, and daily distance moved. ConclusionsUsing wearable devices, home air quality–sensing devices, a smartphone app, and supervised prediction algorithms, we achieved excellent power to predict whether a patient would experience AECOPD within the upcoming 7 days. The AECOPD prediction system provided an effective way to collect lifestyle and environmental data, and yielded reliable predictions of future AECOPD events. Compared with previous studies, we have comprehensively improved the performance of the AECOPD prediction model by adding objective lifestyle and environmental data. This model could yield more accurate prediction results for COPD patients than using only questionnaire data.

Background and Objective: Several studies on diagnostic accuracy of pleural N-terminal pro-B-type natriuretic peptide (NT-pro-BNP) for effusions from congestive heart failure (CHF) conclude that pleural NT-pro-BNP is a useful biomarker with high diagnostic accuracy for distinguishing CHF effusions. However, its applicability in critical care settings remains uncertain and requires further investigations. Methods: NT-proBNP was measured in pleural fluid samples of a prospective cohort of intensive care unit patients with pleural effusions. Receiver operating characteristic curve analysis was performed to determine diagnostic accuracy of pleural NT-proBNP for prediction of CHF effusions. Results: One hundred forty-seven critically ill patients were evaluated, 38 (26%) with CHF effusions and 109 (74%) with non-CHF effusions of various causes. Pleural NT-proBNP levels were significantly elevated in patients with CHF effusions. Pleural NT-pro-BNP demonstrated the area under the curve of 0.87 for diagnosing effusions due to CHF. With a cutoff of 2200 pg/mL, pleural NT-proBNP displayed high sensitivity (89%) but moderate specificity (73%). Notably, 29 (27%) of 109 patients with non-CHF effusions had pleural NT-proBNP levels >2200 pg/mL and these patients were more likely to experience septic shock (18/29 vs. 10/80, P<0.001) or acute kidney injury (19/29 vs. 9/80, P<0.001). Conclusions: Among critically ill patients, pleural NT-proBNP measurements remain a useful diagnostic aid in evaluation of pleural effusions. However, patients with non-CHF effusions may exhibit high pleural NT-proBNP concentrations if they suffer from septic shock or acute kidney injury. Accordingly, it is suggested that clinical context should be taken into account when interpreting pleural NT-proBNP values in critical care settings. [ABSTRACT FROM AUTHOR]

Background and Purpose: The reported prevalence, morbidity and mortality of chronic obstructive pulmonary disease (COPD) varies in different countries due to actual differences and to differences in classification criteria. This study analyzed the trends in COPD mortality and its rank among leading causes of death in Taiwan., Methods: Using national mortality and population data, we identified COPD as a cause of death according to codes 490 (bronchitis, not specified as acute or chronic), 491 (chronic bronchitis), 492 (emphysema) as has been officially calculated previously in Taiwan, and by adding code 496 (chronic airway obstruction, not elsewhere classified) of the ninth revision of the International Classification of Diseases (ICD-9). We calculated crude, age-adjusted and age-specific mortality rates and analyzed the rank of COPD as a cause of death for the period from 1981 to 2002., Results: Crude COPD mortality was unchanged from 1981 to 1993 at 8.26 to 8.47 deaths per 100,000 population, and steadily increased thereafter to 17.88 per 100,000 in 2002. After age standardization, mortality decreased from 8.26 to 4.91 per 100,000 population from 1981 to 1993 and then increased to a peak of 7.36 per 100,000 in 1999. This increase was due to greater increase in mortality in men. COPD mortality decreased steadily throughout the study period in those younger than 65 years while in older groups, it decreased during 1981-1991 and then increased. ICD-9 code A323 (including codes 490-493) has been previously used in official mortality data for asthma, chronic bronchitis and emphysema in Taiwan without inclusion of a specific code for chronic airway obstruction. According to our analysis, this method underestimated two-thirds of real overall mortality due to COPD and asthma. By including COPD and asthma, the obstructive airway disease category increased from 11th to sixth as a cause of death in 2002., Conclusions: In Taiwan, mortality rates for COPD decreased from 1981 to 1993 and increased thereafter, which is largely attributable to increased rates in men. COPD is increasingly important and a leading cause of death in Taiwan.

Background and Purpose: The number of infections caused by Acinetobacter baumannii has increased in recent years and the emergence of pandrug-resistant A. baumannii (PDRAB) has been observed in Taiwan. The aim of this study was to evaluate the clinical features and outcomes of patients with bacteremia due to PDRAB., Methods: From January 1999 to April 2002, 30 patients with PDRAB bacteremia were treated. We analyzed the clinical characteristics of these patients, including gender, underlying diseases, clinical manifestations, antibiotic treatment, and outcome., Results: Bacteremia developed an average of 33 days after hospitalization and was hospital acquired in all cases. The source of bacteremia was identified in 19 patients (63.3%) and was most commonly from the respiratory tract. The overall mortality was 60% (18 patients). Among these, the cause of death was directly related to PDRAB bacteremia in 12. Underlying heart disease, shock, resuscitation, acute respiratory distress syndrome, mechanical ventilation, and multiple organ dysfunction score (MODS) were significant predictors of mortality after the development of PDRAB bacteremia. No specific antimicrobial therapy appeared to be effective., Conclusions: Clinical outcomes of patients with PDRAB bacteremia were related to the medical conditions of the patients at the time of development of bacteremia and could be predicted by the MODS. The only way to limit the spread is through strict preventive measures for nosocomial infection and antibiotic control.

Background and Purpose: The prevalence and mortality rates of asthma in many countries have increased in the past 2 decades. The purpose of this study was to determine the trends of asthma mortality in Taiwan from 1981 through 2000., Methods: Data from the National Health Statistics for Taiwan identifying asthma [International Classification of Disease (ICD)-9 code 493] as the underlying cause of death were collected. Age-specific and age-adjusted mortality rates of asthma were calculated and the 20-year trends were analyzed., Results: The crude mortality rate of asthma decreased from 8.17 to 4.53 per 100,000 general population, and the age-adjusted mortality rate decreased from 8.17 to 2.37 per 100,000 during the 20-year period. This trend of decreasing mortality was most obvious for age groups older than 35 years, i.e., from 4.05 to 1.20 per 100,000 in those aged 35 to 54 years and from 47.43 to 13.44 per 100,000 in those aged 55 to 74 years. The mortality rate for asthma in those aged 15 to 34 years remained the same, around 0.40 to 0.35 per 100,000 population. For those below 15 years of age, the mortality rates for asthma fluctuated between 0.30 and 0.10 per 100,000 population., Conclusions: The mortality rate of asthma has steadily decreased in Taiwan in the past 20 years, especially in the age groups above 35 years.