Diagnosis and treatment of adult asthma patients in Serbia: a 2022 experts group position statement

INTRODUCTION

Asthma is the most common non-communicable chronic lung condition across all ages. Epidemiological data indicate that many asthma patients in Serbia remain undiagnosed and untreated. The implementation of recent global advances in asthma management is limited due to the lack of a systematic approach, drug availability and regulatory affairs. In addition, the global coronavirus disease pandemic has posed a significant challenge, particularly in resource-limited settings.

AREAS COVERED

In this paper, we propose an algorithm for treating adult asthma patients in Serbia. We performed PubMed database search on published asthma clinical trials and guidelines from 1 January 2015 to 10 March 2020. The consensus process incorporated a modified Delphi method that included two rounds of e-mail questionnaires and three rounds of national asthma expert meetings. We focus on 1) objective diagnosis of asthma, 2) the implementation of up-to-date therapeutic options, and 3) the identification and referral of severe asthma patients to newly established severe asthma centers.

EXPERT OPINION

Regional specificities and variations in healthcare systems require the adaptation of evidence-based knowledge. Practical, clinically oriented algorithms designed to overcome local barriers in healthcare delivery may facilitate timely and adequate asthma diagnosis and the local implementation of current advances in asthma management.

FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research

Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators' performance.

Predicting 30-days Readmission Risk for COPD Patients Care through a Federated Machine Learning Architecture on FAIR Data: Development and Validation Study (Preprint)

Background

Owing to the nature of health data, their sharing and reuse for research are limited by legal, technical, and ethical implications. In this sense, to address that challenge and facilitate and promote the discovery of scientific knowledge, the Findable, Accessible, Interoperable, and Reusable (FAIR) principles help organizations to share research data in a secure, appropriate, and useful way for other researchers.

Objective

The objective of this study was the FAIRification of existing health research data sets and applying a federated machine learning architecture on top of the FAIRified data sets of different health research performing organizations. The entire FAIR4Health solution was validated through the assessment of a federated model for real-time prediction of 30-day readmission risk in patients with chronic obstructive pulmonary disease (COPD).

Methods

The application of the FAIR principles on health research data sets in 3 different health care settings enabled a retrospective multicenter study for the development of specific federated machine learning models for the early prediction of 30-day readmission risk in patients with COPD. This predictive model was generated upon the FAIR4Health platform. Finally, an observational prospective study with 30 days follow-up was conducted in 2 health care centers from different countries. The same inclusion and exclusion criteria were used in both retrospective and prospective studies.

Results

Clinical validation was demonstrated through the implementation of federated machine learning models on top of the FAIRified data sets from different health research performing organizations. The federated model for predicting the 30-day hospital readmission risk was trained using retrospective data from 4.944 patients with COPD. The assessment of the predictive model was performed using the data of 100 recruited (22 from Spain and 78 from Serbia) out of 2070 observed (records viewed) patients during the observational prospective study, which was executed from April 2021 to September 2021. Significant accuracy (0.98) and precision (0.25) of the predictive model generated upon the FAIR4Health platform were observed. Therefore, the generated prediction of 30-day readmission risk was confirmed in 87% (87/100) of cases.

Conclusions

Implementing a FAIR data policy in health research performing organizations to facilitate data sharing and reuse is relevant and needed, following the discovery, access, integration, and analysis of health research data. The FAIR4Health project proposes a technological solution in the health domain to facilitate alignment with the FAIR principles.

Characteristics of COPD Phenotypes in Serbia

Background

Establishing a regional/national/international registry of patients suffering from chronic obstructive pulmonary disease (COPD) is essential for both research and healthcare, because it enables collection of comprehensive real-life data from a large number of individuals.

Objective

The aim of this study was to describe characteristics of COPD patients from the Serbian patient registry, and to investigate actual differences of those characteristics among the COPD phenotypes.

Methods

The Serbian registry of patients with COPD was established in 2018 at University of Kragujevac, Faculty of Medical Sciences, based on an online platform. Entry in the Registry was allowed for patients who were diagnosed with COPD according to the following criteria: symptoms of dyspnea, chronic cough or sputum production, history of risk factors for COPD and any degree of persistent airflow limitation diagnosed at spirometry.

Results

In the Serbian COPD registry B and D GOLD group were dominant, while among the COPD phenotypes, the most prevalent were non-exacerbators (49.4%) and then frequent exacerbators without chronic bronchitis (29.6%). The frequent exacerbator with chronic bronchitis phenotype was associated with low levels of bronchopulmonary function and absolute predominance of GOLD D group. Anxiety, depression, insomnia, hypertension and chronic heart failure were the most prevalent in the frequent exacerbator with chronic bronchitis phenotype; patients with this phenotype were also treated more frequently than other patients with a triple combination of the most effective inhaled anti-obstructive drugs: long-acting muscarinic antagonists, long-acting beta 2 agonists and corticosteroids.

Conclusion

In conclusion, the data from the Serbian registry are in line with those from other national registries, showing that frequent exacerbators with chronic bronchitis have worse bronchopulmonary function, more severe signs and symptoms, and more comorbidities (especially anxiety and depression) than other phenotypes. Other studies also confirmed worse quality of life and worse prognosis of the AE-CB phenotype, stressing importance of both preventive and appropriate therapeutic measures against chronic bronchitis.

Frequency and effects of seasonal flu vaccines on exacerbations of chronic obstructive pulmonary disease in Serbia

Background/Aim. The influenza virus is often the cause of exacerbations among chronic obstructive pulmonary disease (COPD) patients, especially during the winter season. However, vaccination rates are still below recommended even in developed countries. The aim of the study was to determine the rates and examine the effectiveness of immunization against seasonal influenza in preventing exacerbations among COPD patients in Serbia. Methods. The prospective cohort study of stable COPD outpatients was conducted over three years (between October 1, 2014, and September 30, 2017) at the Polyclinic Department of Institute for Pulmonary Diseases of Vojvodina, Sremska Kamenica, Serbia. The rates and effects of seasonal flu vaccination on COPD exacerbation rates were evaluated using univariate and multivariate logistic regression analysis, taking into account comorbidity, age, and body mass index (BMI). Results. The study included 840 patients. The flu vaccination rate was 37.1%. Exacerbations occurred more frequently in unvaccinated patients [176 (31.9%) vs. 375 (68.1%), p = 0.043]. In elderly vaccinated patients (? 65 years) there were fewer exacerbations compared to unvaccinated patients [89 (56.0%) vs. 188 (69.4%), p = 0.005]. Lower frequency of exacerbations was also observed in vaccinated patients with comorbidities [165 (61.1%) vs. 327 (69.4%), p = 0.021] and low BMI [27 (64.3%) vs. 78 (83.9%), p = 0.011]. Multivariate logistic regression analysis identified BMI < 21 kg/m2 [relative risk (RR): 0.490; 95% confidence interval (CI): 0.318?0.758; p = 0.001] and heart failure (RR: 2.734; 95% CI: 1.121?6.669; p = 0.027) as independent predictors of COPD exacerbations. Conclusion. Immunization for seasonal influenza in Serbia is below recommended rates. Flu vaccination was associated with a significant reduction in COPD exacerbation rates, particularly in elderly patients and patients with heart failure and low BMI.

Diagnosis and management of chronic obstructive pulmonary disease in Serbia: an expert group position statement

In recent years, several national chronic obstructive pulmonary disease (COPD) guidelines have been issued. In Serbia, the burden of COPD is high and most of the patients are diagnosed at late stages. Global Initiative for Chronic Obstructive Lung Disease (GOLD) strategy is poorly implemented in real-life practice, as many patients are still prescribed inhaled corticosteroids (ICS)-containing regimens and slow-release theophylline. In this document, we propose an algorithm for treating COPD patients in Serbia based on national experts’ opinion, taking into account global recommendations and recent findings from clinical trials that are tailored according to local needs. We identified four major components of COPD treatment based on country specifics: active case finding and early diagnosis in high-risk population, therapeutic algorithm for initiation and escalation of therapy that is simple and easy to use in real-life practice, de-escalation of ICS in low-risk non-exacerbators, and individual choice of inhaler device based on patients' ability and preferences. With this approach we aim to facilitate implementation of the recommendation, initiate the treatment in early stages, improve cost-effectiveness, reduce possible side effects, and ensure efficient treatment.

Intrathoracic malignant peripheral nerve sheath tumor with poor outcome: a case report

We report a case of intrathoracic malignant peripheral nerve sheath tumor in a 65-year old woman revealed after a few-month history of progressive dyspnea, appetite and body mass loss. The chest magnetic resonance (MR) examination revealed the presence of a large tumor occupying the mediastinum and a major portion of the right hemithorax. The diagnostic tumor sample was obtained by parasternal biopsy in local anesthesia. The surgical resection of the tumor could not be performed due to its excessive size, intrathoracic involvement and bad respiratory reserves of a patient. The chemotherapy and irradiation were performed as palliative measures. The lethal outcome appeared 10 months after the diagnosis was established.

A postmortem analysis of major causes of early death in patients hospitalized with COPD exacerbation

BACKGROUND

Mortality from COPD is increasing worldwide, but detailed causes of death are rarely assessed, particularly in low-income countries.

METHODS

In a retrospective study, we reviewed the autopsy reports and medical records of deceased patients admitted to the hospital for severe exacerbation of COPD, from January 2005 to December 2007, at the Institute for Pulmonary Diseases of Vojvodina, Serbia.

RESULTS

Forty-three patients with a hospital admission diagnosis of COPD exacerbation underwent autopsy; all had died within 24 h of admission to the hospital. Twenty-three patients (54%) had a long COPD history (> 10 years), and 19 patients (44%) had more than one hospitalization in the last year of life. The median age at death was 70 years (interquartile range, 65 to 75 years), and male sex was predominant (n = 31; 72%). The main (primary) causes of death were reported as cardiac failure (n = 16; 37.2%), pneumonia (n = 12; 27.9%), and pulmonary thromboembolism (PTE) (n = 9; 20.9%). Respiratory failure due to a progression of COPD was the primary cause of death in six patients (14%). Most patients had more then one comorbid disease (n = 33; 77%), and the most frequent comorbid disease was chronic heart failure (n = 25; 58%).

CONCLUSIONS

Autopsy results suggest that common contributing causes of early death in patients hospitalized with severe COPD exacerbation are concomitant complications, as follows: cardiac failure, pneumonia, and PTE. Quality improvement interventions should focus on recognizing and treating these conditions at the time of hospital admission.