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A Hybrid Model to Classify Patients with Chronic Obstructive Respiratory Diseases.

ABSTRACT: Over the last decades, an increase in the ageing population and age-related diseases has been observed, with the increase in healthcare costs. As so, new solutions to provide more efficient and affordable support to this group of patients are needed. Such solutions should never discard the user and instead should focus on promoting more healthy lifestyles and provide tools for patients' active participation in the treatment and management of their diseases. In this concern, the Personal Health Empowerment (PHE) project presented in this paper aims to empower patients to monitor and improve their health, using personal data and technology assisted coaching. The work described in this paper focuses on defining an approach for user modelling on patients with chronic obstructive respiratory diseases using a hybrid modelling approach to identify different groups of users. A classification model with 90.4% prediction accuracy was generated combining agglomerative hierarchical clustering and decision tree classification techniques. Furthermore, this model identified 5 clusters which describe characteristics of 5 different types of users according to 7 generated rules. With the modelling approach defined in this study, a personalized coaching solution will be built considering patients with different necessities and capabilities and adapting the support provided, enabling the recognition of early signs of exacerbations and objective self-monitoring and treatment of the disease. The novel factor of this approach resides in the possibility to integrate personalized coaching technologies adapted to each kind of user within a smartphone-based application resulting in a reliable and affordable alternative for patients to manage their disease.

SUBMITTER: Martinho D

PROVIDER: S-EPMC7847234 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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A Hybrid Model to Classify Patients with Chronic Obstructive Respiratory Diseases.

Martinho Diogo D Freitas Alberto A Sá-Sousa Ana A Vieira Ana A Meira Jorge J Martins Constantino C Marreiros Goreti G

Journal of medical systems 20210130 3

Over the last decades, an increase in the ageing population and age-related diseases has been observed, with the increase in healthcare costs. As so, new solutions to provide more efficient and affordable support to this group of patients are needed. Such solutions should never discard the user and instead should focus on promoting more healthy lifestyles and provide tools for patients' active participation in the treatment and management of their diseases. In this concern, the Personal Health E ...[more]

PMID: 33517504

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Project description:BackgroundChronic Obstructive Pulmonary Disease (COPD) ranks third as cause of mortality and disability-adjusted life years (DALY) worldwide and also in Italy it imposes a huge health, social and economic load. Early symptoms of COPD are often disregarded by patients and physicians, spirometry is underutilized, and the diagnosis is delayed till the disease has reached a distinct severity level. Despite the availability of various guidelines, the behavior of health workers involved in the management of COPD is still rather unlike. These considerations are the reason why in October 2013 AIMAR (Interdisciplinary Scientific Association for Research in Lung Disease) devised and organized a "Third Consensus Conference", aimed at pointing out the standards of suitability for COPD management. In this context three important topics of discussion were identified: early and more widespread diagnosis, management of acute and subacute phases, long-term assistance to chronic patients.MethodsThe procedure recommended by the Italian Health Superior Institute (ISS) for Consensus Conferences organization was applied. The Conference was structured in three sessions, each dealing with one of the above mentioned topics and including a short update of the subject-matter and presentation, discussion and voting of some statements with a choice ranging from total agreement to total disagreement or no knowledge. The results of voting were eventually recorded in the document, reviewed by an independent jury, that forms the substance of this paper.ResultsThe essential role of spirometry, the need for distinguish between different COPD phenotypes, and the obligatoriness to base on the blood gas analysis findings the long-term oxygen therapy, were largely agreed, as well as the need for interventions aimed at decreasing the rate of acute exacerbations. More specific topics like the use of noninvasive ventilation, recognizing the factors affecting outcome and mortality, the choice of pharmacological and non pharmacological treatments in COPD patients led to lively discussing, but they did not always reach the total agreement, probably because of insufficient familiarity with these problems and of diversities in organization and instruments availability. The chronic respiratory assistance was treated with particular regard to smoking cessation, whose implementation is still insufficient. Many doubts rose due to uncertainty, lack of ability and standardization of procedures, insufficient institutional support, and difficulties to realize a network for assistance to chronic patients.ConclusionsThe results of this Third Consensus Conference revealed some certainties and many doubts and diversities of view also on topics whose importance is well demonstrated in scientific literature. Thus, there is still a long distance to cover before reaching a suitable standardization of COPD management and such situation urges the need for improving not only the health professional's operativeness but also the organizational support by competent institutions. In this context some initiatives organized by AIMAR in cooperation with other respiratory scientific societies and patients' associations are going on.

Project description:IntroductionCritically ill patients with chronic obstructive respiratory diseases (CORD) who require intensive care unit (ICU) admission are at particular risk for invasive bronchial-pulmonary aspergillosis (IBPA). The purpose of this study is to investigate clinical features for rapid recognition of IBPA in critically ill patients with CORD.MethodsWe included 55 consecutive CORD patients in a respiratory ICU in a prospective, single-center, cohort study. In this study, IBPA combined two entities: ATB and IPA.ResultsThirteen of 55 patients were diagnosed with IBPA. Before ICU admission, three variables were independent predictors of IBPA with statistical significance: more than three kinds of antibiotics used before the ICU admission, accumulated doses of corticosteroids (>350 mg) received before the ICU admission, and APACHE II scores >18 (OR, 1.208; P = 0.022; OR, 8.661; P = 0.038; and OR, 19.488; P = 0.008, respectively). After ICU admission, more IBPA patients had a high fever (>38.5 °C) (46.2% versus 11.9%; P = 0.021), wheeze without exertion (84.6% versus 50.0%; P = 0.027), dry rales (84.6% versus 40.4%; P = 0.005), higher white blood cell counts (21 × 109/L versus 9.4 × 109/L; P = 0.012), lower mean arterial pressures (77.9 mm Hg versus 90.5 mm Hg; P = 0.019), and serum creatinine clearances (36.2 ml/min versus 68.8 ml/min; P < 0.001), and liver-function and coagulation abnormalities. Bronchospasm, sputum ropiness, and plaque formation were more common for IBPA patients during bronchoscopy (66.7% versus 14.3%; P = 0.082; 18% versus 0; P = 0.169; and 73% versus 13%; P = 0.003, respectively). More IBPA patients had nodules and patchiness on chest radiograph on day 1 of admission, which rapidly progressed to consolidation on day 7. IBPA mortality was higher than that of non-IBPA patients (69.2% versus 16.7%; P = 0.001).ConclusionsIBPA may be suspected in critically ill CORD patients with respiratory failure and clinical and bronchoscopic manifestations of severe infection, bronchospasm, and rapid progression of radiologic lesions that are irresponsive to steroids and antibiotics. To avoid misdiagnosis and establish the microbiologic etiology, early bronchoscopy and tight radiologic follow-up should be performed.

Project description:Cardiovascular diseases (CVDs) are the most common comorbidities in the chronic obstructive pulmonary disease (COPD), which increase the risk of hospitalization, length of stay, and death in COPD patients. This study aimed to identify the predictors for CVDs in COPD patients and construct a prediction model based on these predictors. In total, 1022 COPD patients in National Health and Nutrition Examination Surveys (NHANES) were involved in the cross-sectional study. All subjects were randomly divided into the training set (n = 709) and testing set (n = 313). The differences before and after the manipulation of the missing data were compared via sensitivity analysis. Univariate and multivariable analyses were employed to screen the predictors of CVDs in COPD patients. The performance of the prediction model was evaluated via the area under the curve (AUC), accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and calibration. Subgroup analysis was performed in patients using different COPD diagnosis methods and patients smoking or not smoking in the testing set. We found that male, older age, a smoking history, overweight, a history of blood transfusion, a history of heart disease in close relatives, higher levels of white blood cell (WBC), and monocyte (MONO) were associated with the increased risk of CVDs in COPD patients. Higher levels of platelets (PLT) and lymphocyte (LYM) were associated with reduced risk of CVDs in COPD patients. A prediction model for the risk of CVDs in COPD patients was established based on predictors including gender, age, a smoking history, BMI, a history of blood transfusion, a history of heart disease in close relatives, WBC, MONO, PLT, and LYM. The AUC value of the prediction model was 0.75 (95% CI: 0.71-0.79) in the training set and 0.79 (95%CI: 0.73-0.85) in the testing set. The prediction model established showed good predictive performance in predicting CVDs in COPD patients.

Project description:Epigenetic events are differentially expressed in the lungs and airways of patients with chronic obstructive pulmonary disease (COPD). Moreover, epigenetic mechanisms are involved in the skeletal (peripheral) muscle dysfunction of COPD patients. Whether epigenetic events may also regulate respiratory muscle dysfunction in COPD remains unknown. We hypothesized that epigenetic mechanisms would be differentially expressed in the main inspiratory muscle (diaphragm) of patients with COPD of a wide range of disease severity compared to healthy controls. In diaphragm muscle specimens (thoracotomy due to lung localized neoplasms) of sedentary patients with mild-to-moderate and severe COPD, with preserved body composition, and sedentary healthy controls, expression of muscle-enriched microRNAs, histone acetyltransferases (HATs) and deacetylases (HDACs), total DNA methylation and protein acetylation, small ubiquitin-related modifier (SUMO) ligases, muscle-specific transcription factors, and muscle structure were explored. All subjects were also clinically evaluated: lung and muscle functions and exercise capacity. Compared to healthy controls, patients exhibited moderate airflow limitation and diffusion capacity, and reduced exercise tolerance and transdiaphragmatic strength. Moreover, in the diaphragm of the COPD patients, muscle-specific microRNA expression was downregulated, while HDAC4 and myocyte enhancer factor (MEF)2C protein levels were higher, and DNA methylation levels, muscle fiber types and sizes did not differ between patients and controls. In the main respiratory muscle of COPD patients with a wide range of disease severity and normal body composition, muscle-specific microRNAs were downregulated, while HDAC4 and MEF2C levels were upregulated. It is likely that these epigenetic events act as biological adaptive mechanisms to better overcome the continuous inspiratory loads of the respiratory system in COPD. These findings may offer novel therapeutic strategies to specifically target respiratory muscle dysfunction in patients with COPD.

Dataset Information

A Hybrid Model to Classify Patients with Chronic Obstructive Respiratory Diseases.

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A Hybrid Model to Classify Patients with Chronic Obstructive Respiratory Diseases.

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