Caregiver Burden in Pulmonary Patients.

Caregiving has become an increasingly important medical and social issue in recent decades. We performed a cross-sectional study on pulmonary patients and accompanying informal caregivers who were hospitalized in the chest disease ward of a tertiary center in Turkey between January 2020 and April 2021. Informal caregivers were asked to complete the Zarit Caregiver Burden Interview. A total of 141 inpatients (39% female, mean age: 76.8 ± 10.2 years) and their informal caregivers (77% female, mean age: 54 ± 11.9 years) were evaluated. The caregivers were classified as light to medium burden (group 1, burden score ≤40) and medium to heavy burden (group 2, burden score >40). The mean burden score was 35.7 ± 13.3 points. The number of female caregivers was higher in group 2 (p = 0.025). There was a positive correlation between the burden score and female gender (p = 0.002) and the number of chronic diseases of caregivers (p = 0.020). Statistical analysis revealed a negative correlation between the burden score and the level of education (r = > -0.174, p = 0.040). Caregiver burden is related to the characteristics of the caregiver rather than those of the patient being cared for. Female caregivers with lower education and more than one chronic disease perceive a higher caregiver burden.

The value of the platelet count and platelet indices in differentiation of COVID-19 and influenza pneumonia.

It is difficult to distinguish coronavirus disease-2019 (COVID-19) from other viral respiratory tract infections owing to the similarities in clinical and radiological findings. This study aims to determine the clinical importance of platelet count and platelet indices in the differentiation of COVID-19 from influenza and the value of these parameters in the differential diagnosis of COVID-19. The medical records of the patients and the electronic patient monitoring system were retrospectively analyzed. Demographic characteristics, admission symptoms, laboratory findings, radiological involvement, comorbidities, and mortality of the patients were recorded. Forty-three patients diagnosed with influenza and 54 diagnosed with COVID-19 were included in the study. The average age of the COVID-19 patients was lower than that of the influenza patients (influenza: 60.5 years, COVID-19: 52.4 years; pp = 0.024),.024), and the male gender was predominant in the COVID-19 group (influenza: 42%, COVID-19: 56%). According to laboratory findings, the mean platelet volume (MPV) and MPV/platelet ratio were statistically significantly lower, whereas the eosinophil count and platelet distribution width levels were significantly higher (p < 0.05) in the COVID-19 group. It was found that the most common symptom in both groups was dyspnea and that the symptom was more prevalent among influenza patients. In the diagnosis of COVID-19, the platelet count and platelet indices are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID-19 from influenza during seasonal outbreaks of the latter.

Follow up of retinal nerve fiber layer thickness with optic coherence tomography in patients receiving anti-tubercular treatment may reveal early optic neuropathy.

PURPOSE: To evaluate the effect of anti-tubercular treatment on retinal nerve fiber layer (RNFL) thickness and the efficiency of optic coherence tomography (OCT) on early diagnosis of optic neuropathy. METHODS: Twenty patients diagnosed with either pulmonary or extra-pulmonary tuberculosis which were treated with anti-tubercular treatment (isoniazid (INH), rifampicin, ethambutol (ETM), and pyrazinamide) were enrolled in the study. RNFL thicknesses of the patients were measured via OCT, at baseline (before starting anti-tubercular treatment) and after the two-month treatment period. Standard ophthalmologic examinations were also performed. RESULTS: Compared to baseline values, after the two-month treatment period, thinning was detected in the right eye's average and superior quadrant RNFLs (p = 0.024 and p = 0.006 respectively) and in the left eye's average, superior quadrant, and inferior quadrant RNFLs (p = 0.001, p = 0.008, p < 0.001, respectively). CONCLUSION: We displayed that patients receiving INH and ETM, which were the basic medicines of anti-tubercular treatment, experienced thinning in RNFL after the two-month treatment period. Patients receiving these drugs can be followed via OCT in terms of reduction in RNFL thicknesses for early diagnose of INH and ETM toxicity.

Molecular characterisation and control of Acinetobacter baumannii isolates resistant to multi-drugs emerging in inter-intensive care units.

BACKGROUND: A nosocomial outbreak of Acinetobacter baumannii (AB) infections occurred among intensive care units (ICU) (surgery, medical, cardiovascular surgery, coronary unit) of Recep Tayyip Erdogan University Medical School (Rize, Turkey) between January 2011 and May 2012. The identification of isolates and clonal relation among them were investigated by molecular techniques. METHODS: A total of 109 AB isolates were obtained from 64 clinical materials from 54 ICU patients and 3 from the hands of healthcare workers (HCWs) of 42 environmental samples. The isolates were identified by 16S rDNA sequencing and OXA- specific PCR. The clonal relation between isolates was investigated by PFGE methods using ApaI restriction enzyme. RESULTS: All isolates were determined as AB by 16S rDNA sequencing and OXA-spesific PCR. While the blaOXA-51-like gene was amplified in all isolates, the blaOXA-23-like gene was amplified from 103 isolates. The PFGE pattern generated 9 pulsotypes and showed that the isolates from patients, HCWs, and the environment were genetically related. In 7 of these pulsotypes, there were 107 strains (98%) showing similar PFGE profiles that cannot be distinguished from each other, ranging from 2 to 53. The remaining 2 pulsotypes were comprised of strains closely associated with the main cluster. Two major groups were discovered with similarity coefficient of 85% and above. The first group consisted of 97 strains that are similar to each other at 92.7% rate, and the second group consisted of 12 strains that are 100% identical. CONCLUSIONS: The common utilization of the blood gas device among ICU was the reason for the contamination. AB strains can remain stable for a long period of time, although due to the disinfection procedures applied in hospitals, there is a small chance that the same clone might reappear and cause another epidemic. For that reason, the resistance profiles of the strains must be continuously followed with amplification-based methods, and these methods should be used to support the PFGE method in the short term.

[Elevated pleural copeptin levels can distinguish to exudate from transudates]. / Yüksek plevral copeptin düzeyleri eksüdayi transüdadan ayirabilir.

INTRODUCTION: Copeptin is released simultaneously along with arginine-vasopressine as a result of different stimuli from the neurohypophysis. Physiological function of copeptin is still unclear. Increased blood copeptin levels is associated with poor prognosis in many diseases. Pleural effusion is a common clinical condition. The most common causes of pleural effusions are heart failure, parapneumonic effusion, pulmonary embolism and malignacy.Tuberculosis is one of the other major causes of pleural effusion in developing countries. In this study, we aimed to assess whether pleural copeptin level may be a new discriminative biomarker for exudates and transudates pleural effusions. MATERIALS AND METHODS: Research was done at Recep Tayyip Erdogan University School of Medicine in the Department of Chest Diseases. The concentrations of pleural copeptin and typical pleural and serum marker levels were measured in 76 subjects with pleural effusions including 22 transudates caused by congestive heart failure (CHF), and 54 exudates including 18 parapneumonic (PPE), 18 tuberculous pleural effusions (TBPEs), 18 malignant effusions (MPEs). RESULTS: Median pleural fluid copeptin levels were higher in exudates than in transudates (1936 ng/mL and 1313 pg/mL, p value < 0.001). There was no statistical significancy for pleural fluid copeptin levels with in-group exudates (n= 54). Pleural copeptin levels of exudates, with a cut off value of 1469 ng/mL, yielded a 79.6% sensitivity, 81.8% specificity, with an are a under the curve of 0.851. CONCLUSION: Pleural copeptin level is a new biomarker to separate exudates from transudates. Pleural effusion discriminative effect of copeptin is lower than plasma protein level and plasma lactat dehydrogenase (LDH). Pleural copeptin measurement is not recommended for routine clinical use. Pleural copeptin level is not contribute to different iate exudative pleural fluids from each other like PPE, TBPE and MPE.

EXPRESS: LONG COVID: A RISK FACTOR FOR ANXIETY, DEPRESSION, AND SUICIDALITY?

In many Covid 19 survivors, symptoms continue for a long time. The aim of this study is to examine the relationship between long-term effects of COVID-19, levels of anxiety and depression, and suicidal ideation with sociodemographic factors and symptoms. A cross-sectional study conducted on patients who came for control at least 3 months after having COVID-19 disease, in the stable period and still have symptoms after COVID-19. Demographic characteristics, symptoms, The Beck Depression Scale (BDS), The Beck Anxiety Scale (BAS) and suicidal ideation were assessed with a face-to-face questionnaires. A total of 490 patients participated to the study. 30% of patients scored positive on the BDS and 46% scored high on the BAS. Female sex was found as a risk factor. Anxiety and depression were found to be significantly associated with long COVID symptoms. Both BAS and BDS scores were significantly higher in people with suicidality compared to others, and long-term symptoms were found to be statistically associated with this situation. Depression and anxiety are common in cases of long COVID. It is important for healthcare professionals to be aware of these potential mental health consequences especially suicidality and, to provide appropriate support and interventions for individuals with long COVID.

High serum YKL-40 level in patients with COPD is related to hypoxemia and disease severity.

Chronic obstructive pulmonary disease (COPD) is a major health problem with increasing morbidity and mortality throughout the world. YKL-40 is a chitin-binding glycoprotein consisting of 383 amino acids, with a molecular mass of 40 kDa, and its serum level is elevated in inflammatory diseases. YKL-40 is a newly recognized biomarker of inflammation and has not been thoroughly investigated in COPD. The aim of the study is to investigate the relationship between serum YKL-40 levels and severity of COPD. The study population consisted of 52 patients with COPD with the mean age of 60.2 ± 10.1 years. The serum YKL-40 level increased significantly with increasing age (p = 0.022, r = 0.346). In COPD patients, high serum YKL-40 level is correlated to low forced expiratory volume at 1 second (FEV1, percent of predicted) (r = -0.277, p = 0.047). Moreover, high serum YKL-40 level is correlated to low arterial oxygen pressure (PaO2, mmHg) (r = -0.387, p = 0.005). The mean serum YKL-40 level was found as 243.1 ± 129.2 ng/ml in COPD patients with desaturation during 6-minute walk test (6MWT) and this value was higher than the mean serum YKL-40 level (155.8 ± 59.1 ng/ml) of COPD patients without desaturation during 6MWT (p = 0.004). This study demonstrated that high serum YKL-40 levels were correlated to severity of COPD. We propose that circulating YKL-40 levels could be a biomarker for hypoxemia and decline in lung function.

Deep learning for diagnosis of malign pleural effusion on computed tomography images.

BACKGROUND: The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is disturbed, fluid accumulation occurs in the pleural space called "Pleural Effusion". Today, accurate diagnosis of pleural diseases is becoming more critical, as advances in treatment protocols have contributed positively to prognosis. Our aim is to perform computer-aided numerical analysis of Computed Tomography (CT) images from patients showing pleural effusion images on CT and to examine the prediction of malignant/benign distinction using deep learning by comparing with the cytology results. METHODS: The authors classified 408 CT images from 64 patients whose etiology of pleural effusion was investigated using the deep learning method. 378 of the images were used for the training of the system; 15 malignant and 15 benign CT images, which were not included in the training group, were used as the test. RESULTS: Among the 30 test images evaluated in the system; 14 of 15 malignant patients and 13 of 15 benign patients were estimated with correct diagnosis (PPD: 93.3%, NPD: 86.67%, Sensitivity: 87.5%, Specificity: 92.86%). CONCLUSION: Advances in computer-aided diagnostic analysis of CT images and obtaining a pre-diagnosis of pleural fluid may reduce the need for interventional procedures by guiding physicians about which patients may have malignancies. Thus, it is cost and time-saving in patient management, allowing earlier diagnosis and treatment.

'COVID-Somnia' in healthcare workers during the pandemic.

OBJECTIVES: Sleep disorders associated with COVID-19 pandemic are termed as 'COVID-somnia.' In this study, we sought to assess the prevalence of COVID-somnia in healthcare workers, establish the factors that trigger this condition, and to investigate its relationship with anxiety and depression symptoms. METHODS: This cross-sectional study was conducted between April 2021 and June 2021, and it included healthcare workers who served during the pandemic. Participants' demographic data, Beck Depression and Anxiety Inventories, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI) were used, and the results were statistically analyzed. Multiple analyses of factors affecting ESS and ISI scores were evaluated using binary logistic regression model and PSQI score were analyzed using a multiple linear regression model. RESULTS: A total of 1,111 healthcare workers who served during the pandemic voluntarily enrolled to the study. The mean age was 37.3 ± 8.48 years, and 63.5% were females. Our study showed that the healthcare workers, evaluated with the PSQI, experienced a deterioration of sleep quality. Primary factors affecting this are working on the front line, the presence of chronic diseases, depression, and anxiety. Regression analyses identified depression and anxiety as the common factors affecting ESS, ISI, and PSQI scores. CONCLUSION: Raising awareness regarding COVID-somnia among healthcare workers, who play a leading role in curbing the pandemic, would reduce sleep disturbances, depression, and anxiety. It would also contribute to the planning and implementation of preventive and therapeutic mental health programs with a multidisciplinary approach.

The CO-MIND Study: Chronic Obstructive Pulmonary Disease Management in Daily Practice and Its Implications for Improved Outcomes According to GOLD 2019 Perspective.

Purpose: GOLD 2019 proposed a novel treatment decision tool for follow-up based on the predominant trait (exacerbation or dyspnea) of patients, alongside treatment escalation and de-escalation strategies. This study was designed to provide an up-to-date snapshot of patient and disease characteristics, treatment pathways, and healthcare resource use (HRU) in COPD in real life, and comprehensively examine patients considering GOLD 2019 recommendations. Patients and Methods: This mixed design, observational, multicenter (14 pulmonology clinics) study included all patients with a documented COPD diagnosis (excluding asthma-COPD overlap [ACO]) for ≥12 months, aged ≥40 years at diagnosis who had a COPD-related hospital visit, spirometry test and blood eosinophil count (BEC) measurement under stable conditions within the 12 months before enrollment between February and December 2020. Data were collected cross-sectionally from patients and retrospectively from hospital medical records. Results: This study included 522 patients (GOLD group A: 17.2%, B: 46.4%, C: 3.3%, D: 33.1%), of whom 79.5% were highly symptomatic and 36.2% had high risk of exacerbation. Exacerbations (n = 832; 46.6% moderate, 25.5% severe) were experienced by 57.5% of patients in the previous 12 months. Inter-rater agreement between investigators and patients regarding the reason for visit was low (κ coefficient: 0.338, p = 0.001). Inhaled treatment was modified in 88 patients at index, mainly due to symptomatic state (31.8%) and exacerbations (27.3%); treatment was escalated (57.9%, mainly switched to LABA+LAMA+ICS), inhaler device and/or active ingredient was changed (36.4%) or treatment was de-escalated (5.7%). 27% had ≥1 hospital overnight stay over 12 months. Emergency department visits and days with limitation of daily activities were higher in group D (p < 0.001). Conclusion: Despite being on-treatment, many patients with COPD experience persistent symptoms and exacerbations requiring hospital-related HRU. A treatable trait approach and holistic disease management may improve outcomes by deciding the right treatment for the right patient at the right time.

Thyroid Gland Disease as a Comorbid Condition in COPD.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is one of the most common causes of morbidity and mortality worldwide. The disease is characterized by progressive airway inflammation, which not only affects the airways but also has systemic effects that are associated with comorbidities. Although comorbid conditions such as hypertension and coronary artery disease are very well-known in COPD patients, diseases of the thyroid gland have not been sufficiently studied. Therefore, thyroid diseases are not considered among the comorbid conditions of COPD. The purpose of this study was to determine the thyroid gland disease (TGD) prevalence in COPD and associated factors. Materials and Method. The study included 309 (297 (96%) male) patients. The patients were subjected to spirometry and thyroid function tests (TFT) in the stable period. The thyroid gland disease they were diagnosed with was recorded after face-to-face meetings and examining their files. RESULTS: The mean age of the patients who were included in the study was 65.9 ± 9.8 (40-90). Thyroid disease was determined in 68 (22%) individuals. There were hypothyroidism in 7 (2%), euthyroidism in 45 (15%), and hyperthyroidism in 16 (%5) patients. No relationship was found between the severity of airflow limitation and the prevalence of TGD. CONCLUSION: Thyroid abnormalities are commonly observed in COPD. The most frequently encountered TGDs are euthyroid multinodular goiter, euthyroid sick syndrome (ESS), and toxic multinodular goiter.

Weight Loss as the First-Line Therapy in Patients with Severe Obesity and Obstructive Sleep Apnea Syndrome: the Role of Laparoscopic Sleeve Gastrectomy.

PURPOSE: The objective of this study is to investigate the effects of laparoscopic sleeve gastrectomy (LSG) on the polysomnographic parameters related to OSAS. MATERIALS AND METHODS: We conducted this 3-year prospective cohort study in a tertiary care center between December 2016 and December 2019. In total, we enrolled 31 patients with severe obesity who underwent full-night polysomnography (PSG) before LSG. Later, the patients were re-evaluated by full-night PSG 12 months after the surgery. RESULTS: The mean age of the patients was 44.1 ± 9.6 years. The mean body mass index (BMI) decreased significantly from a mean value of 49.8 ± 8.5 kg/m2 at baseline to 33.2 ± 8.2 kg/m2 and a percent BMI (%BMI) reduction of 33.8 ± 10.4% and a percent total weight loss (%TWL) of 35.4 ± 10.8% was achieved on the same day of the postsurgical PSG (p < 0.001). There was a remarkable improvement in the AHI (baseline: 36.1 ± 27.1, 12 months after the surgery: 10.3 ± 11.8; difference: 25.8 ± 22.8 events per hour) (p < 0.001). Importantly, there was a decrease in the percentage of non-rapid eye movement (NREM) 2 (p < 0.001), whereas NREM 3 and REM stages witnessed a significant increase (p = 0.001 and p < 0.001, respectively) after the surgery. CONCLUSION: The results of this study showed that weight loss after LSG yields improvement not only in AHI but also in many polysomnographic parameters such as sleep quality and desaturation indices.

Prevalence of non-thyroidal illness syndrome in COPD exacerbation and effect of hypoxaemia and hypercapnia on thyroid functions.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease showing acute exacerbations during its course. Comorbidities often accompany. Non-thyroidal illness syndrome (NTIS) occurs because of the functional impairment in the hypothalamic-pituitary-thyroid axis in severe critical cases. The objective of the current study is to determine the prevalence of NTIS among hospitalised patients due to acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and to reveal the factors affecting thyroid functions. MATERIALS AND METHODS: A total of 132 patients hospitalised for AECOPD were enroled. Arterial blood gas samples at room air and venous blood samples for thyroid function tests were obtained within 24 hours following hospitalisation. RESULTS: The mean age was 69.3 ± 9.6 years with male predominance (M/F:130/2). The prevalence of NTIS was 55%. Subgroups of NTIS cases were analysed. Low TSH levels were the most common pathology (55%). Patients with NTIS had significantly lower PaO2 and SaO2 levels compared with those without NTIS (P = 0.045 and P = 0.022, respectively). In addition, a positive correlation was found between PaO2 and free thyroxine (fT4) (P < 0.001, r = 0.313). A statistically significant negative correlation between PaCO2 and fT4 was found (P < 0.001, r = -0.393). And a statistically significant negative correlation between PaCO2 and free triiodothyronine (fT3) values were found (P = 0.040, r = -0.183). CONCLUSION: NTIS is a very common condition during AECOPD. We believe that hypoxemia causing functional impairment in the hypothalamic-pituitary-thyroid axis is the main mechanism in NTIS development and hypercapnia disrupts freeT3 and freeT4 production and secretion.

Syncope as a subject of the risk assessment of pulmonary thromboembolism to be used for: A cross-sectional study.

INTRODUCTION: Syncope is infrequent in pulmonary thromboembolism (PTE) yet might be indicative of haemodynamic instability. The prognostic role of syncope in PTE has not been well documented. OBJECTIVES: In this study, the association between risk classification of the European Society of Cardiology and syncope was investigated in the normotensive PTE patients. METHODS: We retrospectively screened electronic medical records of patients who were admitted in 2 tertiary care hospital and diagnosis of PTE with computed tomography pulmonary angiography. Patients with hypotension (high risk) at the time of admission were excluded from the study. RESULTS: Of 5% patients (16/322) had syncope with the proportion of 81.3% (13/16) in the intermediate high risky group, 18.7% (3/16) in intermediate low risk group and 0% in low risk group. Mortality rate was higher in subjects with syncope (25% vs 11.1%) although it was not it was not statistically significant (P = NS). In those with syncope, the central venous thrombus was more frequent than those without it (78.6% vs 30.1%, P = .008). Only heart rate and intermediate high-risk group were retained as independent predictors of syncope selection in the multivariate logistic regression. CONCLUSION: Although syncope is positively correlated with the severity of PTE, it does not predict the prognosis alone. Nonetheless, syncope in patients with PTE can be considered as an important alarming stimulus for clinical course.

Deep learning for diagnosis of malign pleural effusion on computed tomography images

Abstract Background The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is disturbed, fluid accumulation occurs in the pleural space called "Pleural Effusion". Today, accurate diagnosis of pleural diseases is becoming more critical, as advances in treatment protocols have contributed positively to prognosis. Our aim is to perform computer-aided numerical analysis of Computed Tomography (CT) images from patients showing pleural effusion images on CT and to examine the prediction of malignant/benign distinction using deep learning by comparing with the cytology results. Methods The authors classified 408 CT images from 64 patients whose etiology of pleural effusion was investigated using the deep learning method. 378 of the images were used for the training of the system; 15 malignant and 15 benign CT images, which were not included in the training group, were used as the test. Results Among the 30 test images evaluated in the system; 14 of 15 malignant patients and 13 of 15 benign patients were estimated with correct diagnosis (PPD: 93.3%, NPD: 86.67%, Sensitivity: 87.5%, Specificity: 92.86%). Conclusion Advances in computer-aided diagnostic analysis of CT images and obtaining a pre-diagnosis of pleural fluid may reduce the need for interventional procedures by guiding physicians about which patients may have malignancies. Thus, it is cost and time-saving in patient management, allowing earlier diagnosis and treatment.

Soluble urokinase-type plasminogen activator receptor is a novel biomarker predicting acute exacerbation in COPD.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory condition, and progresses with acute exacerbations. (AE). During AE, levels of acute phase reactants such as C-reactive protein (CRP) and inflammatory cells in the circulation increase. Soluble urokinase-type plasminogen activator receptor (suPAR) levels increase in acute viral and bacterial infections and in diseases involving chronic inflammation. The purpose of this study was to investigate the effectiveness of suPAR in predicting diagnosis of AE of COPD (AE-COPD) and response to treatment. METHODS: The study population consisted of 43 patients diagnosed with AE-COPD and 30 healthy controls. suPAR, CRP, and fibrinogen levels were measured on the first day of hospitalization and on the seventh day of treatment. RESULTS: We found that fibrinogen (P<0.001), CRP (P<0.001), and suPAR (P<0.001) were significantly higher in patients with AE-COPD than in healthy controls. Fibrinogen (P<0.001), CRP (P=0.001), and suPAR (P<0.001) were significantly decreased by the seventh day of treatment. However, the area under receiver operator characteristic curve showed that suPAR is superior to CRP and fibrinogen in distinguishing AE-COPD. There was a correlation between fibrinogen, CRP, and suPAR. However, only fibrinogen was a powerful predictor of suPAR in multiple linear regression. In multiple logistic regression, only suPAR and fibrinogen were strong predictors of AE-COPD (P=0.002 and P=0.014, respectively). Serum suPAR was negatively correlated with forced expiratory volume in 1 second (r=-478, P=0.001). CONCLUSION: suPAR is a marker of acute inflammation. It is well correlated with such inflammation markers as CRP and fibrinogen. suPAR can be used as a predictor of AE-COPD and in monitoring response to treatment.

Copeptin: a new predictor for severe obstructive sleep apnea.

INTRODUCTION: Copeptin which is the C-terminal fragment of antidiuretic hormone (ADH), is a biomarker that has been reported to be increased in various cardiovascular disorders, cerebrovascular diseases and associated with prognosis. Patients with obstructive sleep apnea syndrome (OSAS) have a tendency to develop coronary and cerebral atherosclerotic diseases. OBJECTIVES: The aim of the present study was to study copeptin levels in patients with obstructive sleep apnea and in a control group in order to determine whether copeptin could be used as a biomarker predicting the severity of OSAS and possible complications in this group. METHODS: A total of 116 patients with OSAS, diagnosed by polysomnography, and 27 controls were included in the study. Blood samples were collected after overnight fasting, and copeptin levels were measured with enzyme-linked immunosorbent assay. RESULTS: Copeptin levels were significantly higher in the OSAS group compared to control group (2,156±502; 1,845±500 pg/mL, respectively, P=0.004). Mean copeptin level of the patients having apnea-hypopnea index (AHI) ≥30 was significantly higher than that of the patients having AHI <30 (2,392±415; 2,017±500 pg/mL, respectively, P<0.001). A multivariate regression analysis showed that copeptin level, (hazard ratio: 1.58; 95% confidence interval: 1.09-2.30) was a predictor of severe OSAS (P=0.016). Copeptin levels showed significant positive correlation with AHI (r=0.32; P<0.001), desaturation index (r=0.23; P=0.012), arousal index (r=0.24; P=0.010) and CRP (r=0.26; P=0.011) respectively. CONCLUSION: Copeptin levels are high in OSAS patients and copeptin is a potential marker for identifying patients with a high risk of early cardiovascular complications of OSAS. Copeptin has modest sensitivity (84%) for discriminating severe OSAS patients who are candidates for severe cardiovascular complications.

Association of serum magnesium levels with frequency of acute exacerbations in chronic obstructive pulmonary disease: a prospective study.

BACKGROUND: The course of chronic obstructive pulmonary disease (COPD) is accompanied by acute exacerbations. The purpose of this study is to determine the association of serum magnesium level with acute exacerbations in COPD (COPD-AE). MATERIALS AND METHODS: Eighty-nine patients hospitalized with COPD-AE were included. Hemogram, biochemical tests, and arterial blood gases were analyzed. Pulmonary function tests were performed in the stable period after discharge. Patients were followed up at 3 monthly periods for one year. RESULTS: Mean age of the patients was 70.4 ± 7.8 (range 47-90) years. Mean number of COPD-AE during follow-up was 4.0 ± 3.6 (range 0-15). On Spearman correlation analysis there were significant negative correlations between number of COPD-AE and predicted FEV1% (P = 0.001), total protein (P = 0.024), globulin (P = 0.001), creatinine (P = 0.001), and uric acid levels (P = 0.036). There were also significant positive correlations between number of COPD-AE and serum magnesium level (P < 0.001) and platelet count (P = 0.043). According to linear regression analysis predicted FEV1% (P = 0.011), serum magnesium (P < 0.001), and globulin (P = 0.006) levels were independent predictors of number of COPD-AE. CONCLUSIONS: In this small prospective observational study we found that serum magnesium level during exacerbation period was the most significant predictor of frequency of COPD-AE.

A novel biomarker in the diagnosis of parapneumonic effusion: neutrophil gelatinase-associated lipocalin.

BACKGROUND: The protein neutrophil gelatinase-associated lipocalin (NGAL) is a mediator synthesized and released by neutrophils. Its physiological function is as yet unclear. Levels in blood increase in several inflammatory diseases. High serum values indicate poor prognosis for several diseases. Pleural effusion may appear as the result of various pathologies. The most common cause is heart failure (HF). Other common causes include parapneumonic (PPE) and malignant (MPE) pleural effusions, and pulmonary embolism. Tubercular effusion (TE) is commonly encountered in Turkey and similar developing countries. The purpose of this study was to investigate the effectiveness of NGAL, a current inflammation marker, in discriminating between different etiological diseases that cause pleural effusion. METHODS: The study was performed at the Recep Tayyip Erdogan University Faculty of Medicine Chest Diseases Clinic. One hundred patients were included in the study, 25 with parapneumonic effusion, 25 with heart failure-related effusion, 25 with tubercular effusion and 25 with cancer-related effusion. NGAL was measured in patients' serum and pleural fluids. RESULTS: Serum NGAL levels in PPE (171 ± 56 ng/ml) were significantly higher (p < 0.001) than those in HF (86 ± 31 ng/ml), CA (103 ± 42 ng/ml) and TE (63 ± 19 ng/ml). Pleural NGAL levels were also significantly higher in PPE compared to HF, MPE and TE (p < 0.001). Serum NGAL levels exhibited a positive correlation with white blood cell (WBC), neutrophil, C-reactive protein (CRP), sedimentation, serum LDH, creatinine, pleural leukocyte and pleural neutrophil numbers. The most significant correlation was between NGAL level and WBC (p < 0.001, r = 0.579). Both serum and pleural NGAL levels are highly effective in differentiating patients with PPE from those without PPE (AUC: 0.910 and 0.790, respectively). CONCLUSIONS: NGAL can be used in the diagnosis of diseases with an acute inflammatory course. Serum and pleural NGAL levels can differentiate PPE from other diseases causing pleural fluid with high sensitivity and specificity.

Arterial stiffness measured via carotid femoral pulse wave velocity is associated with disease severity in COPD.

BACKGROUND: Patients with COPD face an increased risk of cardiovascular disease and increased cardiac mortality. Carotid femoral pulse wave velocity (cf-PWV) is a validated measure of arterial stiffness, a well recognized predictor of adverse cardiovascular outcomes, and offers higher predictive value than classical cardiovascular risk factors. We investigated the association between COPD and arterial stiffness using cf-PWV as a noninvasive technique. METHODS: This clinical study was prospective, observational, and cross-sectional. Sixty-two subjects with stable COPD and 22 healthy controls underwent physical examination, chest x-rays, pulmonary function tests, arterial blood gas analysis, and 6-min walk test, and cf-PWV was measured via a validated tonometry system. RESULTS: The COPD subjects had greater arterial stiffness than the control subjects, and that difference was associated with lower FEV1, PaO2, and oxygen saturation during the 6-min walk test. We observed higher cf-PWV in the COPD subjects with severe COPD than in the subjects with mild to moderate COPD. Only FEV1 was an independent predictor of cf-PWV. CONCLUSIONS: Our results suggest that arterial stiffness is increased in subjects with more severe and advanced COPD than in those with mild to moderate COPD. Air flow limitation and hypoxemia may induce increased arterial stiffness in COPD patients.