A screening study for COVID-19-associated pulmonary aspergillosis in critically ill patients during the third wave of the pandemic.

BACKGROUND: COVID-19-associated pulmonary aspergillosis (CAPA) has been reported as an important cause of mortality in critically ill patients with an incidence rate ranging from 5% to 35% during the first and second pandemic waves. OBJECTIVES: We aimed to evaluate the incidence, risk factors for CAPA by a screening protocol and outcome in the critically ill patients during the third wave of the pandemic. PATIENTS/METHODS: This prospective cohort study was conducted in two intensive care units (ICU) designated for patients with COVID-19 in a tertiary care university hospital between 18 November 2020 and 24 April 2021. SARS-CoV-2 PCR-positive adult patients admitted to the ICU with respiratory failure were included in the study. Serum and respiratory samples were collected periodically from ICU admission up to CAPA diagnosis, patient discharge or death. ECMM/ISHAM consensus criteria were used to diagnose and classify CAPA cases. RESULTS: A total of 302 patients were admitted to the two ICUs during the study period, and 213 were included in the study. CAPA was diagnosed in 43 (20.1%) patients (12.2% probable, 7.9% possible). In regression analysis, male sex, higher SOFA scores at ICU admission, invasive mechanical ventilation and longer ICU stay were significantly associated with CAPA development. Overall ICU mortality rate was higher significantly in CAPA group compared to those with no CAPA (67.4% vs 29.4%, p < .001). CONCLUSIONS: One fifth of critically ill patients in COVID-19 ICUs developed CAPA, and this was associated with a high mortality.

Clinical implications of fungal isolation from sputum in adult patients with cystic fibrosis

Background/aim: Cystic fibrosis is an autosomal recessive disease with a defect in mucociliary activity that is characterized by recurrent pulmonary infections. Bacterial agents frequently implicated in airway colonization are Haemophilus influenzae, Staphylococcus spp., and Pseudomonas spp. Fungal isolation from sputum is common in adults. However, growth of fungal agent only in sputum culture in patients with cystic fibrosis is insufficient for the diagnosis of fungal diseases. There is limited data about the clinical significance of fungal isolation in sputum cultures. The aim of the study was to investigate the clinical outcomes andsignificance of fungal isolation from sputum samples in adult CF. Materials and methods: This retrospective study included patients who have been admitted between October 2017 and January 2019 in an adult cystic fibrosis unit. Patients were grouped according to fungal pathogenicity as; fungal disease group, colonization group, and nonisolated group. The data of the last one year, including demographics, clinical data, laboratory, treatment modalities, results of cultured bacteria and fungus from sputum samples, respiratory function parameters, frequency of exacerbation, and hospitalizationwere compared between groups. Results: A total of 330 sputum samples from 88 adult patients with CF were collected. Patients were divided into 3 groups, the fungal disease group (n = 10, 11.4%), colonization group (n = 49, 55.7%), and nonisolated group (n = 29, 32.9%). Presence of pulmonary exacerbation, number of admissions to emergency department, and the number of positive cultures for bacteria from sputum were higher in the fungal disease group (p = 0.03, p = 0.01 and p < 0.001). The fungal disease group had higher rate of antibiotics by parenteral routethan other groups (p = 0.001) whereas lung functions were similar. Use of nutritional supplementation and parenteral antibiotherapy were the factors associated with elevated risk of fungal isolation. Conclusion: Frequent use of parenteral antibiotics and use of nutritional supplementation were found to be independent risk factors for fungal isolation from sputum in adult CF.

Outcome of Patients Admitted to Intensive Care Units due to Influenza-Related Severe Acute Respiratory Illness in 2017-2018 Flu Season: A Multicenter Study from Turkey.

BACKGROUND: Influenza can cause severe acute respiratory illness (SARI), which occurs as local outbreaks or seasonal epidemics with high intensive care unit (ICU) admission and mortality rates. Mortality is mainly due to SARI. OBJECTIVE: The aim of this study was to evaluate the outcome of patients admitted to ICU due to influenza-related SARI in 2017-2018 flu season in Turkey. METHODS: A retrospective multicenter study was conducted in 13 ICUs with a total of 216 beds from 6 cities in Turkey. All adult patients (over 18 years) admitted to the ICUs in 2017-2018 flu season (between September 1, 2017, and April 30, 2018) because of SARI and with a positive nasopharyngeal swab for influenza were included in the study. RESULTS: A total of 123 cases were included in the study. The mean age of patients was 64.5 ± 17.5 years, and 66 (53.7%) patients were older than 65 years. The ICU mortality was 33.9%, and hospital mortality was 35.6%. Invasive mechanical ventilation (IMV), acute kidney injury (AKI), hematologic malignancy, and >65 years of age were the factors affecting mortality in influenza. CONCLUSION: SARI due to influenza carries a high mortality rate, and IMV, AKI, presence of hematologic malignancy, and older age are independent risk factors for mortality.

Factors associated with severe lung disease in an adult population with cystic fibrosis: a single-center experience

Background/Aim: The patients with cystic fibrosis (CF) are living longer compared to the past, but respiratory failure is still the most common cause of mortality. The aim of this study is to investigate factors associated with severe lung disease in a cohort of adult patients with CF. Materials and methods: Demographic data, clinical and laboratory findings of the patients aged 18 years and more were collected and the patients were grouped according to forced expiratory volume in 1 s (FEV1) as severe group: <40% and nonsevere ≥40%. Associations were investigated between groups and clinical outcomes. Results: A total of 76 patients were enrolled in the study. The mean age was 24.5 ± 5.25 years and 36 (47.4%) patients were female. In the severe group; the mean age was higher (27.1 ± 6.0 vs 23.6 ± 4.7, P = 0.013), the median Chrispin-Norman score of severe lung disease group was higher (14 (6­22) vs 5.5 (0­20), P < 0.001), hospitalization at least once in a year for intravenous antibiotic was more common (12/18 (66%) vs 19/58 (32%), P = 0.014). There was a positive correlation between body mass index (BMI) and lung function, indicating that lower nutritional status was related to lower FEV1, r2 = 0.21, P < 0.001. The median FEV1% was lower in patients with CF-related diabetes (38 (14­95) vs 66 (13­121), P = 0.042). Dornase alpha use and physiotherapy rate were higher in severe lung disease group (P = 0.008 and P < 0.001, respectively). Conclusion: Lower BMI, older age, presence of CF-related diabetes, higher radiologic scores, use of dornase alpha and physiotherapy and higher hospitalization rate for intravenous antibiotic therapy are significantly associated with severe lung disease.

Diagnostic yield of conventional transbronchial needle aspiration biopsy (C-TBNA) without an on-site cytopathologist: Experience of 363 procedures in 219 patients.

INTRODUCTION: Conventional transbronchial needle aspiration biopsy (C-TBNA) is a technique in evaluating mediastinal/hilar lymph nodes (LN). We aimed to investigate diagnostic yield (DY) and safety of C-TBNAs performed in a single university clinic. PATIENTS AND METHODS: We retrospectively reviewed 363 consecutive C-TBNA procedures in 219 patients. The DY and its relationship with location, shortest diameter, SUVmax of LN, and number of sampled stations were evaluated. RESULT: Procedures were diagnostic in 257 (71%) LNs. The most common diagnoses were malignancy (n= 109.30%) and granulomatous inflammation (n= 68, 18.7%).The ratio of patients with at least one diagnostic cytology result was 77% (n= 168). DY was significantly increased with the increased number of sampled LNs (p= 0.033) and larger LN diameter (p< 0.001). Sensitivity, specificity, positive, and negative predictive values were 83.3%, 43.2%, 79.6%, and 49.3% respectively for cut-off LN diameter of 11.5 mm. There was nearly a significant relationship between DY and SUVmax (p= 0.05, cut-off= 4.8). The highest DY was in subcarinal LN (77.4%). No major complications were recorded. CONCLUSIONS: The DY of C-TBNA was 71%. The ratio of the patients with at least one diagnostic cytology result was 77%. The most common diagnoses were malignancy and granulomatous inflammation. The DY of C-TBNA was increased with the increased number of sampled LNs, larger LN diameter, and increased SUVmax. C-TBNA is a safe procedure.

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study.

Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data using unsupervised and supervised sparse linear methods in a COVID-19 patient cohort. This prospective cohort study of 149 adult patients was conducted in a tertiary care academic center. First, we used sparse canonical correlation analysis (CCA) to identify and quantify relationships across different data modalities, including viral genome sequencing, imaging, clinical data, and laboratory results. Then, we used cooperative learning to predict the clinical outcome of COVID-19 patients: Intensive care unit admission. We show that serum biomarkers representing severe disease and acute phase response correlate with original and wavelet radiomics features in the LLL frequency channel (cor(Xu1, Zv1) = 0.596, p value < 0.001). Among radiomics features, histogram-based first-order features reporting the skewness, kurtosis, and uniformity have the lowest negative, whereas entropy-related features have the highest positive coefficients. Moreover, unsupervised analysis of clinical data and laboratory results gives insights into distinct clinical phenotypes. Leveraging the availability of global viral genome databases, we demonstrate that the Word2Vec natural language processing model can be used for viral genome encoding. It not only separates major SARS-CoV-2 variants but also allows the preservation of phylogenetic relationships among them. Our quadruple model using Word2Vec encoding achieves better prediction results in the supervised task. The model yields area under the curve (AUC) and accuracy values of 0.87 and 0.77, respectively. Our study illustrates that sparse CCA analysis and cooperative learning are powerful techniques for handling high-dimensional, multimodal data to investigate multivariate associations in unsupervised and supervised tasks.

Evaluation of Long-Coronavirus Disease 2019 Cases Readmitted to Intensive Care Units Due to Acute Respiratory Failure: Point Prevalence Study.

OBJECTIVE:  Coronavirus disease 2019 (COVID-19) caused morbidity and mortality worldwide. Besides the acute effects, subacute and long-term effects are defined as long-COVID causing morbidity. The intensive care unit (ICU) data of long-COVID-19 cases were evaluated with the participation of 11 centers. MATERIAL AND METHODS:  Study was designed by Turkish Thoracic Society Respiratory Failure and Intensive Care Working Group to evaluate long COVID-19 patients. All patients followed up in the ICU with long-COVID diagnosis were included in point prevelance study. RESULTS:  A total of 41 long COVID-19 patients from 11 centers were included in the study. Half of the patients were male, mean age was 66 ± 14, body mass index was 27 ± 5. Hypertension, diabetes mellitus, lung cancer, malignancy, and heart failure rates were 27%, 51%, 34%, 34%, and 27%, respectively. Eighty percent had received COVID vaccine. Patients had moderate hypoxemic respiratory failure. APACHE II, SOFA score was 18 (14-26), 6 (3-8), respectively. Forty-six percent received invasive mechanical ventilator support, 42% were sepsis, 17% were septic shock. Bilateral (67%), interstitial involvement (37%) were most common in chest x-ray. Fibrosis (27%) was detected in thorax tomography. Seventy-one percent of patients received antibiotherapy (42% carbapenem, 22% linezolid). Sixty-one percent of the patients received corticosteroid treatment. CONCLUSION:  More than half of the patients had pneumonia and the majority of them used broad-spectrum antibiotics. Presence of comorbidities and malignancies, intensive care severity scores, intubation, and sepsis rates were high. Receiving corticosteroid treatment and extensive bilateral radiologic involvement due to COVID-19 might be the reasons for the high re-admission rate for the ICUs.

Is diaphragm ultrasound better than rapid shallow breathing index for predicting weaning in critically ill elderly patients?

Introduction: Prolonged weaning is associated with worse clinical outcomes in elderly patients. Beside traditional rapid shallow breathing index (RSBI), diaphragm ultrasound is a promising technique to evaluate the weaning process. We aimed to perform diaphragm ultrasonography for predicting the weaning process and its relation with frailty in the critically ill elderly population. Materials and Methods: We enrolled thirthy-two patients over 65 years of age who were mechanically ventilated for at least 48 hours. Thickness of diaphragm and excursion were evaluated within 48 h of intubation and during spontaneous breathing trial (SBT). Clinical parameters, frailty, diaphragm ultrasound results were compared according to the weaning status. Results: Mean age (standard deviation) was 79.3 ± 7.9 years, and 18 (56.3%) patients were classified as weaning failure. Diaphragmatic excursion during SBT was the only statistically significant parameter associated with weaning failure [2.37 cm (0.67) vs 1.43 cm (0.15), p= 0.0359]. There was no statistically significant difference regarding RSBI between the groups [70.5 (46) vs 127.5 (80), p= 0.09]. Baseline thickness of diaphragm and excursion at SBT were moderately correlated with frailty. Conclusion: Ultrasound can be used to show diaphragm dysfunction in the elderly frail population, and a multifactorial approach to the extubation process may include ultrasound instead of using traditional RSBI alone.

Decreased plasma levels of sphingolipids and total cholesterol in adult cystic fibrosis patients.

BACKGROUND: Sphingolipid species in the lung epithelium have a critical role for continuity of membrane structure, vesicular transport, and cell survival. Sphingolipid species were reported to have a role in the inflammatory etiology of cystic fibrosis by previous work. The aim of the study was to investigate the levels of plasma sphingomyelin and ceramide in adult cystic fibrosis (CF) patients and compared with healthy controls. MATERIALS AND METHODS: Blood samples were obtained from CF patients at exacerbation (n = 15), discharge (n = 13) and stable periods (n = 11). Healthy individuals (n = 15) of similar age served as control. Levels of C16-C24 sphingomyelin and C16-C24 ceramide were measured in the plasma by LC-MS/MS. Also, cholesterol and triglyceride levels were determined in plasma samples of the patients at stable period. RESULTS: All measured sphingomyelin and ceramide levels in all periods of CF patients were significantly lower than healthy controls except C16 sphingomyelin level in the stable period. However, plasma Cer and SM levels among exacerbation, discharge, and stable periods of CF were not different. CF patients had significantly lower cholesterol levels compared to healthy individuals. We found significant correlation of cholesterol with C16 sphingomyelin. CONCLUSION: We observed lower plasma Cer and SM levels in adult CF patients at exacerbation, discharge, and stable periods compared to healthy controls. We didn't find any significant difference between patient Cer and SM levels among these three periods. Our limited number of patients might have resulted with this statistical insignificance. However, percentage of SM16 levels were increased at discharge compared to exacerbation levels, while percentage of Cer16 and Cer 20 decreased at stable compared to exacerbation. Inclusion of a larger number of CF patients in such a follow up study may better demonstrate any possible difference between exacerbation, discharge, and stable periods.

Association of nutritional status, frailty, and rectus femoris muscle thickness measured by ultrasound and weaning in critically ill elderly patients.

Introduction: Sarcopenia and frailty are critical factors linked with poor clinical outcomes among elderly individuals. This study aims to investigate the association between nutritional assessment tests and frailty with muscle thickness measured by ultrasound and their relationship with weaning among critically ill elderly patients. Materials and Methods: Patients who were over 65 years old and required invasive ventilation were assessed for nutritional status and clinical frailty scale upon admission to the intensive care unit. Additionally, the thickness of their rectus femoris and vastus intermedius muscles were measured by ultrasound within 48 hours of intubation. Correlation analysis was conducted to examine the relationship between screening tests, frailty, and ultrasound results. The association between these parameters and weaning success was also evaluated. Result: Between May and August 2022, 32 consecutive patients were enrolled in the study. The mean age was 79.3 ± 7.9, and 18 (56.3%) of them were female. Median APACHE-II- and first-day SOFA scores were 22.5 (16.2-29.7) and 7 (5-10.75), respectively. There was a moderate negative correlation between the thickness of the rectus femoris and frailty (r= -0.41, p= 0.036), and there was a moderate positive correlation between the rectus femoris and geriatric nutritional risk index (r= 0.45, p= 0.017). Of them, 18 (56.3%) patients were classified as weaning failure in which the mean frailty score was higher (7.6 ± 0.9 vs 6.5 ± 1.7, p= 0.035), sepsis (18 vs 7, p<0.001) and use of vasopressor (17 vs 6, p= 0.004) more common, and in-hospital mortality were higher (18 vs 5, p<0.001). Conclusions: Bedside ultrasound could be beneficial for detecting nutritional high-risk patients. Frailty was associated with muscle thickness, and it was also associated with weaning failure.

Diagnostic performance and longitudinal analysis of fungal biomarkers in COVID-19 associated pulmonary aspergillosis.

Objectives: Galactomannan lateral flow assay (GM-LFA) is a reliable test for COVID-19 associated pulmonary aspergillosis (CAPA) diagnosis. We aimed to assess the diagnostic performance of GM-LFA with different case definitions, the association between the longitudinal measurements of serum GM-ELISA, GM-LFA, and the risk of death. Methods: Serum and nondirected bronchial lavage (NBL) samples were periodically collected. The sensitivity and specificity analysis for GM-LFA was done in different time periods. Longitudinal analysis was done with the joint model framework. Results: A total of 207 patients were evaluated. On the day of CAPA diagnosis, serum GM-LFA had a sensitivity of 42 % (95 % CI: 23-63) and specificity of 82 % (95 % CI: 78-84), while NBL GM-LFA had a sensitivity of 73 % (95 % CI: 45-92), specificity of 85 % (95 % CI: 76-91) for CAPA. Sensitivity decreased through the following days in both samples. Univariate joint model analysis showed that increasing GM-LFA and GM-ELISA levels were associated with increased mortality, and that effect remained same with serum GM-ELISA in multivariate joint model analysis. Conclusion: GM-LFA, particularly in NBL samples, seems to be a reliable method for CAPA diagnosis. For detecting patients with higher risk of mortality, longitudinal measurement of serum GM-ELISA can be useful.

Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19.

Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data using unsupervised and supervised sparse linear methods in a COVID-19 patient cohort. This prospective cohort study of 149 adult patients was conducted in a tertiary care academic center. First, we used sparse canonical correlation analysis (CCA) to identify and quantify relationships across different data modalities, including viral genome sequencing, imaging, clinical data, and laboratory results. Then, we used cooperative learning to predict the clinical outcome of COVID-19 patients. We show that serum biomarkers representing severe disease and acute phase response correlate with original and wavelet radiomics features in the LLL frequency channel (corr(Xu1, Zv1) = 0.596, p-value < 0.001). Among radiomics features, histogram-based first-order features reporting the skewness, kurtosis, and uniformity have the lowest negative, whereas entropy-related features have the highest positive coefficients. Moreover, unsupervised analysis of clinical data and laboratory results gives insights into distinct clinical phenotypes. Leveraging the availability of global viral genome databases, we demonstrate that the Word2Vec natural language processing model can be used for viral genome encoding. It not only separates major SARS-CoV-2 variants but also allows the preservation of phylogenetic relationships among them. Our quadruple model using Word2Vec encoding achieves better prediction results in the supervised task. The model yields area under the curve (AUC) and accuracy values of 0.87 and 0.77, respectively. Our study illustrates that sparse CCA analysis and cooperative learning are powerful techniques for handling high-dimensional, multimodal data to investigate multivariate associations in unsupervised and supervised tasks.

Evaluation of Patients with COVID-19 Followed Up in Intensive Care Units in the Second Year of the Pandemic: A Multicenter Point Prevalence Study.

OBJECTIVE: A 1-day point prevalence study was planned to obtain country data by determining the clinical characteristics, follow-up and treatment methods of coronavirus disease 2019 (COVID-19) cases that required intensive care unit (ICU) treatment in the second year of the pandemic. MATERIAL AND METHODS: All patients who were hospitalized in the ICUs due to COVID-19 between March 11, 2022, 08.00 am, and March 12, 2022, 08.00 am, were included in the study. Demographic characteristics, intensive care and laboratory data, radiological characteristics, and follow-up results of the patients were recorded. RESULTS: A total of 811 patients from 59 centers were included in the study, 59% of the cases were male, and the mean age was 74 ± 14 years. At least one comorbid disease was present in 94% of the cases, and hypertension was the most common. When ICU weight scores were examined, Acute Physiology and Chronic Health Evaluation-II: 19 (15-27) and Sequential Organ Failure Assessment: 7 (4-10) were seen. Sepsis was present in 37% (n = 298) of cases. PaO2/FiO2 ratios of the patients were 190 the highest and 150 the lowest and 51% of the cases were followed via invasive mechanical ventilation. On the study day, 73% bilateral involvement was seen on chest x-ray, and ground-glass opacities (52%) were the most common on chest tomography. There was growth in culture in 40% (n = 318) of the cases, and the most common growth was in the tracheal aspirate (42%). CONCLUSION: The clinical course of COVID-19 is variable, and ICU follow-up was required due to advanced age, comorbidity, presence of respiratory symptoms, and widespread radiological involvement. The need for respiratory support and the presence of secondary infection are important issues to be considered in the follow-up. Despite the end of the second year of the pandemic and vaccination, the high severity of the disease as well as the need for follow-up in ICUs has shown that COVID-19 is an important health problem.

ERS International Congress 2021: highlights from the Respiratory Intensive Care Assembly.

Early Career Members of Assembly 2 (Respiratory Intensive Care) attended the European Respiratory Society International Congress through a virtual platform in 2021. Sessions of interest to our assembly members included symposia on the implications of acute respiratory distress syndrome phenotyping on diagnosis and treatment, safe applications of noninvasive ventilation in hypoxaemic respiratory failure, and new developments in mechanical ventilation and weaning, and a guidelines session on applying high-flow therapy in acute respiratory failure. These sessions are summarised in this article.

Comparison of critically ill COVID-19 and influenza patients with acute respiratory failure.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is one of the biggest pandemic causing acute respiratory failure (ARF) in the last century. Seasonal influenza carries high mortality, as well. The aim of this study was to compare features and outcomes of critically-ill COVID-19 and influenza patients with ARF. METHODS: Patients with COVID-19 and influenza admitted to intensive care unit with ARF were retrospectively analyzed. RESULTS: Fifty-four COVID-19 and 55 influenza patients with ARF were studied. Patients with COVID-19 had 32% of hospital mortality, while those with influenza had 47% (P=0.09). Patients with influenza had higher Eastern Cooperative Oncology Group, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation II and admission Sequential Organ Failure Assessment (SOFA) scores than COVID-19 patients (P<0.01). Secondary bacterial infection, admission acute kidney injury, procalcitonin level above 0.2 ng/ml were the independent factors distinguishing influenza from COVID-19 while prone positioning differentiated COVID-19 from influenza. Invasive mechanical ventilation (odds ratio [OR], 42.16; 95% confidence interval [CI], 9.45-187.97), admission SOFA score more than 4 (OR, 5.92; 95% CI, 1.85-18.92), malignancy (OR, 4.95; 95% CI, 1.13-21.60), and age more than 65 years (OR, 3.31; 95% CI, 0.99-11.03) were found to be independent risk factors for hospital mortality. CONCLUSIONS: There were few differences in clinical features of critically-ill COVID-19 and influenza patients. Influenza cases had worse performance status and disease severity. There was no significant difference in hospital mortality rates between COVID-19 and influenza patients.

Increased Plasma YKL-40 Level and Chitotriosidase Activity in Cystic Fibrosis Patients.

We investigated plasma YKL-40 levels and chitotriosidase (CHIT1) activity in patients with cystic fibrosis (CF) lung disease and evaluated clinically relevant factors that may affect their levels. Plasma samples were obtained from pediatric (n = 19) and adult patients (n = 15) during exacerbation, discharge, and stable period of the disease. YKL-40 levels and chitotriosidase activity were measured by enzyme-linked immunosorbent assay and fluorometric assay, respectively. Data were compared with healthy children and adults of similar age. YKL-40 levels of pediatric and adult CF patients at all periods were significantly higher than controls (p < 0.001 and p < 0.05). CHIT1 activities of adult patients at all periods were significantly higher compared to controls (p < 0.05). On the other hand, CHIT1 activities of pediatric CF patients were similar with controls. YKL-40 levels of exacerbation period of adult CF patients were negatively correlated with forced vital capacity (FVC) (r = - 0.800, p = 0.014) and forced expiratory volume in 1 s (FEV1) (r = - 0.735, p = 0.008). YKL-40 levels in the exacerbation period of pediatric CF patients were negatively correlated with FVC (r = - 0.697, p = 0.0082) and FEV1 (r = - 0.720, p = 0.006). CHIT1 activity may be a valuable marker of chronic inflammation in adult CF patients who suffer from CF for a longer period compared to pediatric patients. Increased YKL-40 levels in both pediatric and adult patients compared to controls may point to a role in between CF pathology.

ERS International Virtual Congress 2021: Highlights from the Turkish Thoracic Society Early Career Members.

This review aimed to highlight some important points derived from the presentations of the European Respiratory Society 2021 Virtual International Congress by a committee formed by the Early Career Task Group of the Turkish Thoracic Society. We summarized a wide range of topics including current developments of respiratory diseases and provided an overview of important and striking topics of the congress. Our primary motivation was to give some up-to-date information and new developments discussed during congress especially for the pulmonologists who did not have a chance to follow the congress. This review also committed an opportunity to get an overview of the newest data in the diverse fields of respiratory medicine such as post-coronavirus disease 2019, some new interventional and technologic developments related to respiratory health, and new treatment strategies.

Association of baseline diaphragm, rectus femoris and vastus intermedius muscle thickness with weaning from mechanical ventilation.

BACKGROUND: To determine whether baseline diaphragm (Tdi), rectus femoris (RF) and vastus intermedius (VI) muscle thickness (TRF and TRF + VI) are associated with weaning success. MATERIAL AND METHODS: Right Tdi, TRF and TRF + VI were measured by ultrasonography within 36 h of intubation and diaphragmatic excursion (DE) was evaluated at the first spontaneous breathing trial in adult critically-ill patients. Reintubation or death within 7 days after extubation was defined as weaning failure. Weaning failure and success groups were compared in terms of ultrasonographic measurements and clinical features. RESULTS: Thirty-eight patients were assessed for weaning, 15 (39.4%) being in the weaning failure group. The median body mass index (BMI) was lower while the median clinical frailty scale (CFS), vasopressor use, duration of mechanical ventilation, intensive care and hospital mortality rate were higher in the weaning failure group, and the median TRF + VI (14.0 [12.3-26.2] vs 23.6 [21.3-27.1] mm, p = 0.03) and median DE (19.4 [14.6-24.0] vs 25.9 [19.3-38.5] mm, p = 0.045) were lower. The median Tdi was similar in two groups (1.9 [1.5-2.3] vs 2.0 [1.7-2.4] mm, p = 0.26). In ROC analysis, area under the curve for TRF + VI was 0.71 (95% CI: 0.51-0.90; p = 0.035), with 21 mm cut-off having sensitivity of 82% and specificity of 57%. Binary logistic regression analysis revealed TRF + VI < 21 mm as the only predictor of weaning failure with an odds ratio of 10.5 (95% CI: 1.1-97.8, p = 0.038) after adjusting for age, sex, BMI and CFS. CONCLUSIONS: TRF + VI lower than 21 mm, measured by ultrasonography within 36 h of intubation, was associated with weaning failure among critically-ill patients.