Implementation of the Baveno Classification in Obstructive Sleep Apnea and Its Correlation with Symptoms of Anxiety and Depression.

Background and Objectives: The Baveno classification represents a new approach to the assessment of the severity of OSA (Obstructive sleep apnea), which takes significant comorbidities into account: atrial fibrillation, arterial hypertension, heart failure, stroke, diabetes mellitus, and OSA symptoms expressed through the Epworth sleepiness scale (ESS). The authors believe that the Baveno classification facilitates a better stratification of patients with OSA and can be a good guide for deciding on the therapeutic approach and clinical monitoring of patients with OSA, compared to the AHI (apnea-hypopnea index) itself. The aim of this paper is to confirm the advantage of applying the Baveno classification to the evaluation of symptoms of anxiety and depression in the OSA patients compared to the application of the AHI as a single parameter. Materials and Methods: This research represents an observational retrospective study that was performed at the Pulmonology Clinic of the University Clinical Center in Kragujevac, Serbia. The study sample included 104 patients with diagnosed OSA. Patients were divided into four categories retrogradely according to the Baveno classification (A, B, C, and D). Statistical data processing was performed using the IBM SPSS Statistics version 25.0 program. Results: In our study, we proved that the Baveno classification is better at predicting the depressive disorder in OSA patients compared to the AHI itself, according to abnormal BDI-II (Beck Depression Inventory) score (value greater than ten) and HADS-D (Hospital anxiety and depression) scale (value greater than eight). The average AHI in the entire group of examined patients was 44.3 ± 19.8, while in category A the average AHI was 25.2 ± 10, in category B, 53.4 ± 20.6; in category C, 38.2 ± 18.5; and in category D, 48.1 ± 19.2. In the total sample, AHI did not correlate with the depressive episodes, but individually, the highest frequency of the depressive symptoms was precisely in the categories with the highest AHI (group D and B), where more than half of the subjects had an abnormal score. The frequency of the anxiety disorder (HADS-A) between the analyzed groups did not differ significantly, although the largest number of patients with significant anxiety were in category B, according to the Baveno classification. Conclusions: We proved that the Baveno classification is applicable in real life, and it is better at evaluating anxiety and depression using questionnaires and can identify new patients who need CPAP therapy, independently of other OSAS symptoms, primarily daytime sleepiness.

Risk factors for potential drug-drug interactions in patients with pneumonia.

OBJECTIVE: The goal of our study was to discover and analyze possible risk factors for and possible protective factors against the occurrence of potential drug-drug interactions (pDDIs) in a hospitalized patient with community-acquired pneumonia. MATERIALS AND METHODS: The central outcome was the incidence of pDDIs in patients with community-acquired pneumonia checked by Lexicomp and Micromedex interaction checkers. RESULTS: The most severe pDDIs (Consider therapy modification D/Avoid combination X/Major/Contraindicated) were found in 19 (20%) and 54 (58%) patients, according to Lexicomp and Micromedex, respectively. Patients with community-acquired pneumonia who were older, smokers, and with more prescribed drugs by more than a few independent prescribers had a higher risk to experience pDDIs. Possible protective factors were longer length of hospitalization, transfer from the Emergency Department, antiarrhythmic drugs as well as an anticoagulant therapy. CONCLUSION: In conclusion, community-acquired pneumonia patients with the above-mentioned factors should have their treatment more deeply monitored for pDDIs.

Cardiopulmonary Exercise Test in the Detection of Unexplained Post-COVID-19 Dyspnea.

There is emerging evidence of prolonged recovery in survivors of coronavirus disease 2019 (COVID-19), even in those with mild COVID-19. In this paper, we report a case of a 39-year-old male with excessive body weight and a history of borderline values of arterial hypertension without therapy, who was mainly complaining of progressive dyspnea after being diagnosed with mild COVID-19. According to the recent guidelines on the holistic assessment and management of patients who had COVID-19, all preferred diagnostic procedures, including multidetector computed tomography (CT), CT pulmonary angiogram, and echocardiography, should be conducted. However, in our patient, no underlying cardiopulmonary disorder has been established. Therefore, considering all additional symptoms our patient had beyond dyspnea, our initial differential diagnosis included anxiety-related dysfunctional breathing. However, psychiatric evaluation revealed that our patient had only a mild anxiety level, which was unlikely to provoke somatic complaints. We decided to perform further investigations considering that cardiopulmonary exercise test (CPET) represents a reliable diagnostic tool for patients with unexplained dyspnea. Finally, the CPET elucidated the diastolic dysfunction of the left ventricle, which was the most probable cause of progressive dyspnea in our patient. We suggested that, based on uncontrolled cardiovascular risk factors our patient had, COVID-19 triggered a subclinical form of heart failure (HF) with preserved ejection fraction (HFpEF) to become clinically manifest. Recently, the new onset, exacerbation, or transition from subclinical to clinical HFpEF has been associated with COVID-19. Therefore, in addition to the present literature, our case should warn physicians on HFpEF among survivors of COVID-19.

Does the Severity of Obstructive Sleep Apnea Have an Independent Impact on Systemic Inflammation?

Background and Objectives: This paper aims to show whether obstructive sleep apnea (OSA) severity increases the level of systemic inflammation markers regardless of body mass index (BMI) and body composition. Materials and Methods: In total, 128 patients with OSA were included in the study. Examinees were divided into two groups: one with mild OSA (apnea-hypopnea index (AHI) < 15) and one with moderate and severe OSA (AHI ≥ 15). Nutritional status was assessed using body mass index, body composition by dual X-ray absorptiometry. Systemic inflammation was assessed on the basis of plasma concentrations of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and serum level of C-reactive protein (CRP). Results: We found elevated mean values of the evaluated systemic inflammation markers (CRP, TNF-α, IL-6) in a group with AHI ≥ 15, although there was no statistical significance. Our research found a significant positive correlation with BMI (r = 0.633, p < 0.001), as well as with body fat percentage (r = 0.450, p = 0.024) and serum CRP values. Significant correlation was found between the plasma IL-6 concentration and body fat percentage (FM%) (r = 0.579, p = 0.003) and lean body mass (r = -0.501, p = 0.013). Multivariate regression analysis did not show any independent predictor (parameters of OSA, nutritional status, body composition) of the systemic inflammation markers. Conclusions: Neither one tested parameter (nutritional status and body composition) of the severity of OSA was identified as an independent prognostic factor for the severity of systemic inflammation in patients with OSA.

Predicting Severity and Intrahospital Mortality in COVID-19: The Place and Role of Oxidative Stress.

SARS-CoV-2 virus causes infection which led to a global pandemic in 2020 with the development of severe acute respiratory syndrome. Therefore, this study was aimed at examining its possible role in predicting severity and intrahospital mortality of COVID-19, alongside with other laboratory and biochemical procedures, clinical signs, symptoms, and comorbidity. This study, approved by the Ethical Committee of Clinical Center Kragujevac, was designed as an observational prospective cross-sectional clinical study which was conducted on 127 patients with diagnosed respiratory COVID-19 viral infection from April to August 2020. The primary goals were to determine the predictors of COVID-19 severity and to determine the predictors of the negative outcome of COVID-19 infection. All patients were divided into three categories: patients with a mild form, moderate form, and severe form of COVID-19 infection. All biochemical and laboratory procedures were done on the first day of the hospital admission. Respiratory (p < 0.001) and heart (p = 0.002) rates at admission were significantly higher in patients with a severe form of COVID-19. From all observed hematological and inflammatory markers, only white blood cell count (9.43 ± 4.62, p = 0.001) and LDH (643.13 ± 313.3, p = 0.002) were significantly higher in the severe COVID-19 group. We have observed that in the severe form of SARS-CoV-2, the levels of superoxide anion radicals were substantially higher than those in two other groups (11.3 ± 5.66, p < 0.001) and the nitric oxide level was significantly lower in patients with the severe disease (2.66 ± 0.45, p < 0.001). Using a linear regression model, TA, anosmia, ageusia, O2 -, and the duration at the ICU are estimated as predictors of severity of SARS-CoV-2 disease. The presence of dyspnea and a higher heart rate were confirmed as predictors of a negative, fatal outcome. Results from our study show that presence of hypertension, anosmia, and ageusia, as well as the duration of ICU stay, and serum levels of O2 - are predictors of COVID-19 severity, while the presence of dyspnea and an increased heart rate on admission were predictors of COVID-19 mortality.

Risk factors for potential drug-drug interactions in patients with chronic obstructive pulmonary disease.

Potential drug-drug interactions (pDDIs) are especially frequent in patients with chronic obstructive pulmonary disease (COPD) who, if hospitalized, experience, on average 6.5 pDDIs on admission, and 7.2 on discharge. The aim of our study was to identify and analyze risk and/or protective factors for occurrence of pDDIs in hospitalized patients with COPD. Main outcome was occurrence of pDDIs in COPD patients ascertained by Medscape, Epocrates, and Micromedex interaction checkers. The most serious pDDIs (contraindicated/serious/major/use alternative) were found in 16 (22%), 8 (11%), and 35 (49%) patients, according to the Medscape, Epocrates, and Micromedex, respectively. The COPD patients who were prescribed more drugs (especially antiarrhythmic and anticoagulants), by several independent prescribers, and having more comorbidities, were more prone to experience a pDDI; the only protective factor against pDDIs was age of the patients. In conclusion, COPD patients with the abovementioned risk factors should have their therapy more intensely monitored for pDDIs.