COVID-19: vaccination vs. hospitalization.

OBJECTIVE: Vaccination is the most efficient way to control the coronavirus disease 2019 (COVID-19) pandemic, but vaccination rates remain below the target level in most countries. This multicenter study aimed to evaluate the vaccination status of hospitalized patients and compare two different booster vaccine protocols. SETTING: Inoculation in Turkey began in mid-January 2021. Sinovac was the only available vaccine until April 2021, when BioNTech was added. At the beginning of July 2021, the government offered a third booster dose to healthcare workers and people aged > 50 years who had received the two doses of Sinovac. Of the participants who received a booster, most chose BioNTech as the third dose. METHODS: We collected data from 25 hospitals in 16 cities. Patients hospitalized between August 1 and 10, 2021, were included and categorized into eight groups according to their vaccination status. RESULTS: We identified 1401 patients, of which 529 (37.7%) were admitted to intensive care units. Nearly half (47.8%) of the patients were not vaccinated, and those with two doses of Sinovac formed the second largest group (32.9%). Hospitalizations were lower in the group which received 2 doses of Sinovac and a booster dose of BioNTech than in the group which received 3 doses of Sinovac. CONCLUSION: Effective vaccinations decreased COVID-19-related hospitalizations. The efficacy after two doses of Sinovac may decrease over time; however, it may be enhanced by adding a booster dose. Moreover, unvaccinated patients may be persuaded to undergo vaccination.

Importance of oxidative stress in the evaluation of acute pulmonary embolism severity.

BACKGROUND: Pulmonary embolism (PE) is a common and potentially life-threatening disorder. Our study was aimed to investigate whether oxidative stress markers can be used as clinical markers in the evaluation of acute PE (APE) severity. METHODS: 47 patients with objectively documented diagnosis of APE were recorded. Of these patients, 14 had low-risk PE, 16 had moderate-risk PE, and 17 had high-risk PE. 21 healthy subjects were also enrolled in this study. Ischemia-modified albumin (IMA), prooxidants-antioxidants balance (PAB), advanced protein oxidation products (AOPPs), and ferric reducing antioxidant power (FRAP) were measured as oxidative stress parameters to evaluate the role of oxidative stress. RESULTS: In the low-risk and moderate-risk APE groups, AOPPs and PAB levels were significantly higher and FRAP levels were significantly lower than those in the control group. AOPPs and IMA levels in the patients with high-risk PE were significantly higher than those in both the low-risk and moderate-risk APE patients. There was a significant correlation between levels of AOPPs and the levels of both IMA (r: 0.462, p < 0.001) and PAB (r:0.378, p < 0.005). Serum FRAP levels were negatively correlated with PAB (r:- 0.683, p < 0.001) and AOPPs levels (r:- 0,384, p < 0.001). There was also a significant positive correlation between the serum IMA and PAB levels. CONCLUSIONS: We clearly demonstrated that reactive oxygen species formation is significantly enhanced in APE. IMA and AOPPs may be used as clinical markers in the evaluation of APE severity in clinical practice. However, further studies with larger patient populations and longer follow-up periods are required to confirm the mechanisms underlying these findings.

Pulmonary functions and sleep-related breathing disorders in lipid storage disease.

PURPOSE: Pulmonary function abnormalities and sleep-related breathing disorders (SRBD) are frequent in subjects with several neuromuscular diseases but there is no data about lipid storage diseases (LSD). Therefore, we aimed to evaluate pulmonary functions and SRBD in adults with LSD. METHODS: Pulmonary functions (forced expiratory volume (FEV1), forced vital capacity (FVC), supine FVC, upright-supine FVC% change, maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), peak cough flow (PCF)), arterial blood gases, and polysomnographic data of all subjects were evaluated. RESULTS: Twenty-five subjects with LSD were evaluated [17 males, 8 females; age 34.9 ± 15 years; BMI 26.5 ± 3.4 kg/m2]. MIP was - 72.2 ± 32.7 cmH2O (< - 80 cmH2O in 13 subjects), MEP was 80.9 ± 39.1 cmH2O (< 80 cmH2O in 9 subjects, < 40 cmH2O in 6 subjects), and PCF was 441.3 ± 190.9 L/min (< 360 L/min in 11 subjects). FVC was 87.8% ± 25.7 and 6 subjects had FVC < 80%. Seven subjects had diaphragm dysfunction (four upright-supine FVC% ≥ 15, three dyspnea in supine position with paradoxical abdominal respiration). Five subjects had hypoxemia (PaO2 < 80 mmHg) and 8 subjects had hypercapnia (PaCO2 > 45 mmHg). REM sleep had decreased in all subjects (10.2% ± 6.1). Obstructive sleep apnea (OSA) was found in 80% of the subjects (n = 20; 9 mild, 9 moderate, 2 severe). For subjects with OSA, apnea-hypopnea index (AHI) was 20.8 ± 15.9/h, oxygen desaturation index (ODI) was 11.9 ± 15.4/h, AHIREM was 30.6 ± 19.7/h, AHINREM was 19.7 ± 16.6/h, ODIREM was 27.2 ± 26.1/h, and ODINREM was 11.4 ± 15/h. Five subjects (20%) diagnosed as REM-related OSA. Nocturnal mean SpO2 was 94.9% ± 1.7, lowest SpO2 was 73.3% ± 13.9, and time spent with SpO2 < 90% was 2.4% ± 7.2. CONCLUSION: In subjects with LSD, pulmonary function impairment, daytime hypercapnia and hypoxemia, and OSA, especially REM-related OSA, are frequent. Therefore, pulmonary functions and polysomnography should be performed routinely.

Comparative Transcriptomic Analyses of Peripheral Blood Mononuclear Cells of COVID-19 Patients without Pneumonia and with Severe Pneumonia in the First Year of Follow-Up.

The multisystemic effects of COVID-19 may continue for a longer time period following the acute phase, depending on the severity of the disease. However, long-term systemic transcriptomic changes associated with COVID-19 disease and the impact of disease severity are not fully understood. We aimed to investigate the impact of COVID-19 and its severity on transcriptomic alterations in peripheral blood mononuclear cells (PBMCs) following 1 year of the disease. PBMCs were isolated from the peripheral blood of healthy control donors who did not have COVID-19 (C; n = 13), from COVID-19 patients without pneumonia (NP; n = 11), and from COVID-19 patients with severe pneumonia (SP; n = 10) after 1-year of follow-up. Following RNA isolation from PBMCs, high-quality RNAs were sequenced after creating a library. Differentially expressed genes (DEGs) and differentially expressed long non-coding RNAs (DElncRNAs) were identified using Benjamini-Hochberg correction and they were analysed for hierarchical clustering and principal component analysis (PCA). Intergroup comparisons (C vs. NP, C vs. SP, and NP vs. SP) of DEGs and DElncRNAs were performed and hub genes were determined. Functional enrichment analyses of DEGs and DElncRNAs were made using Metascape (v3.5.20240101) and the first version of NCPATH. The RNA sequencing analysis revealed 4843 DEGs and 1056 DElncRNAs in "C vs. NP", 1651 DEGs and 577 DElncRNAs in "C vs. SP", and 954 DEGs and 148 DElncRNAs in "NP vs. SP", with 291 DEGs and 70 DElncRNAs shared across all groups, respectively. We identified 14 hub genes from 291 DEGs, with functional enrichment analysis showing upregulated DEGs mainly linked to inflammation and osteoclast differentiation and downregulated DEGs to viral infections and immune responses. The analysis showed that 291 common and 14 hub genes were associated with pneumonia and that these genes could be regulated by the transcription factors JUN and NFκB1 carrying the NFκB binding site. We also revealed unique immune cell signatures across DEG categories indicating that the upregulated DEGs were associated with neutrophils and monocytes, while downregulated DEGs were associated with CD4 memory effector T cells. The comparative transcriptomic analysis of NP and SP groups with 52 gene signatures suggestive of IPF risk showed a lower risk of IPF in the SP group than the NP patients. Our findings suggest that COVID-19 may cause long term pathologies by modulating the expression of various DEGs, DeLncRNAs, and hub genes at the cellular level.

Impact of Promising Biomarkers on Severity and Outcome of Acute Pulmonary Embolism.

Background: Acute pulmonary embolism (APE) is a common clinical condition. Its severity ranges from asymptomatic radiological findings to fatal obstructive shock. The potential circulating biomarkers have been studied to predict APE outcomes. This study aimed to explore their predictive power on prognosis in APE. Material and Method: It was a prospective observational study between March 2008 and April 2010. All consecutive patients diagnosed with APE were categorized as massive/high-risk, submassive/moderate-risk, and non-massive/low-risk. Cardiac troponin T (cTnT), myoglobin, N-terminal pro-brain natriuretic peptide (NT-proBNP), heart-type fatty acid-binding protein (H-FABP), growth differentiation factor-15 (GDF-15), and D-dimer levels were measured. Results: Of these patients, 14 (29.8%), 16 (34.0%), and 17 (36.2%) patients were categorized as low-risk, moderate-risk, and high risk-patients, respectively. There was no significant difference between the patient groups categorized based on the risk stratification in terms of demographic and clinical characteristics. The cTnT, myoglobin, HFABP, and D-dimer levels have also not differed significantly between the groups. There was a significant difference between the groups in respect of NT-proBNP and GDF-15 levels (p=0.009 and p=0.037, respectively). Nine (19.1%) patients had died by the 3rd-month follow-up. Adverse events were seen in 26 (55.3%) patients. GDF-15 had the highest area under the curve (AUC) value for predicting any adverse event (cut-off value=9.3 ng/mL, AUC=0.796, CI (confidence interval) 95%: 0.653-0.899). NT-ProBNP was determined as the best predictor for mortality (cut-off value=229.2 pg/mL, AUC=0.889, CI 95%: 0.756-0.964). Conclusion: Higher levels of NT-proBNP and GDF-15 were found to be associated with more severe APE, worse outcomes, and mortality.

Mesenchymal stem cell treatment in a critically ill COVID-19 patient: a case report.

An outbreak of a new coronavirus causing severe respiratory disease (COVID-19) was first reported in China and rapidly spread worldwide. Clinical spectrum changes from asymptomatic infection to severe illness and even death, and no specific treatment is currently available. A range of antiviral, antimalarial and antibiotic agents are being used. We report a case of a COVID-19 patient that progressed to severe disease requiring intubation and intensive care. We performed mesenchymal stem cell (MSC) transplantation considering the signs showing persistent excessive immune response and deterioration despite all supportive and drug therapies. The two rounds of transplantation did not result in any severe complications and was well-tolerated. Clinical signs were improved. The use of MSC therapy may be considered for compassionate use in selected patients.

[The concordance of manuel (visual) scoring and automatic analysis in sleep staging]. / Uyku evrelemesinde manuel (görsel) evreleme ile otomatik evrelemenin uyumu.

Full night polysomnography (PSG) remains the gold standard diagnostic test for the evaluation of sleep and the detection of sleep disorders. The computer-assisted scoring methods have been developed to accelerate the scoring. It is said that there was a concordance up to 80% between these scoring softwares and manual scoring. According to our experiences, it is not matched with this belief. In this study, we intend to examine whether the results of automatic analysis match with manual (visual) evaluation. The PSG records of 30 cases with a diagnosis of obstructive sleep apnea syndrome (OSAS) are chosen randomly. We compare the results of automatic analysis with the results of two scorers who have a concordance of 80-95% and at least 1000 PSG scoring experiences. We evaluated 21.060 epochs of 18 men with 48.83 + or - 13.51 ages, and 12 women with 44.56 + or - 14.28 ages. In automatic analysis; total sleep time (p= 0.003) and sleep efficiency (p= 0.004) were low. AHI (p= 0.802) and ODI (p= 0.193) values were high. The epochs scored differently were 8819 epochs (41.88%). The stage I (88.43%) scored mostly different, was allocated to be awake (572 epochs). Stage II and stage IV were scored as stage III in 2276 and 983 epochs respectively. REM epochs were allocated to stage II (574 epochs). The differences in recording times and sleep architecture of PSG tests which examed by automatic analysis will affect all other parameters. Thus, we believe that it will make mistakes in the diagnosis and treatment of sleep disorders.