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First Undesirable Occasions Subsequent Transcervical Hypopharyngeal Diverticulum Surgical procedure.
LVO receiving intravenous thrombolysis with tenecteplase have significantly better recanalization and clinical outcomes compared with patients receiving intravenous alteplase.
An accurate determination of the cardioembolic risk in patients with atrial fibrillation (AF) is crucial to prevent consequences like stroke. Obstructive sleep apnea (OSA) is a known risk factor for both AF and stroke. We aim to explore a possible association between OSA and an increased cardioembolic risk in patients with AF.
We assessed data from the ESADA (European Sleep Apnea Database) cohort where patients with known AF and OSA were included. Parameters of OSA severity and related hypoxia like lowest Spo
and 4% oxygen desaturation index were analyzed. Patients were stratified according to their cardioembolic risk estimated with the CHA
DS
-VASc score.
From the initial cohort of 14 646 patients, a final set of 363 patients were included in the analysis. Indices of hypoxia during sleep were associated with increased CHA
DS
-VASc score (4% oxygen desaturation index 17.9 versus 29.6 versus 30.5 events/hour and the lowest Spo
81.2 versus 77.8 versus 77.5% for low, moderate, and high cardioembolic risk, respectively,
<0.05).
These results support the potential role of OSA-related hypoxia in the risk for cardioembolic complications such as stroke in patients with AF.
These results support the potential role of OSA-related hypoxia in the risk for cardioembolic complications such as stroke in patients with AF.
We assessed prospectively whether nonalcoholic fatty liver disease (NAFLD) and its severity predict future ischemic stroke (IS) events in a community-based cohort.
From the Kailuan study, participants free of history of stroke, cancer, or myocardial infarction were enrolled after excluding alcohol abuse and other liver diseases. NAFLD was evaluated through ultrasonography. Participants with NAFLD were further stratified into mild, moderate, and severe groups. The outcome was the first occurrence of IS. The secondary outcomes included myocardial infarction and combined vascular events. We used Cox proportional hazards models to estimate hazard ratios and 95% CIs of incident IS according to presence and severity of NAFLD, adjusting for age, sex, physical activity, body mass index, smoker, history of hypertension, diabetes, hypercholesterolemia, lipid-lowering medication, HDL (high-density lipoprotein), triglyceride, hsCRP (high-sensitivity C-reactive protein), and fasting blood glucose.
During a median of 10.34 years of follow-up, we documented 3490 incident stroke cases among 79 905 participants. NAFLD was found in 24 874 (31.18%) participants. Relative to participants without NAFLD at the baseline, those with NAFLD had a 16% higher risk (95% CI, 1.07-1.26) of developing ischemic stroke, after adjusted for confounding variables. The hazard ratios for patients with mild, moderate, and severe NAFLD were 1.15 (95% CI, 1.05-1.25), 1.19 (95% CI, 1.06-1.34), and 1.21 (95% CI, 1.08-1.50), respectively.
The severity of NAFLD is associated with a higher risk of future ischemic stroke events.
The severity of NAFLD is associated with a higher risk of future ischemic stroke events.
The red blood cell fatty acid composition objectively reflects the long-term dietary intake of several fatty acids. In patients undergoing carotid endarterectomy, we explored whether red blood cell status of selected fatty acids related to symptomatic carotid artery disease.
We included patients with symptomatic (n=22) and asymptomatic (n=23) carotid artery disease. We determined all-C181 trans, linoleic acid (LA, C182n6), alpha-linolenic acid (C183n3), and the omega-3 index (sum of eicosapentaenoic [C205n3] and docosahexaenoic [C226n3] acids) in both red blood cells and carotid plaque phospholipids by gas-chromatography.
In a multivariate logistic regression analysis, we only observed a significant association for LA, whose red blood cell status was inversely related to symptomatic carotid artery disease (odds ratio, 0.116 [95% CI, 0.022-0.607],
=0.011, for each 1-SD increase). A similar result was observed for LA in carotid plaque phospholipids.
Cell membrane enrichment in LA, which reflects its intake, was inversely related to symptomatic carotid disease. This increases evidence supporting a favorable role of dietary LA in vascular health.
Cell membrane enrichment in LA, which reflects its intake, was inversely related to symptomatic carotid disease. This increases evidence supporting a favorable role of dietary LA in vascular health.
Epidemiology of cerebral venous thrombosis (CVT) has been reported to be changing. Because long-term nationwide data are needed to confirm this, we studied CVT occurrence between 2005 and 2014 in Finland.
All acute CVT admissions were retrieved from a mandatory registry covering mainland Finland. Patients aged ≥18 years were included. One admission per patient was allowed.
We identified 563 patients with CVT (56.5% women). Overall incidence was 1.32/100 000 (95% CI, 1.21-1.43) per year with a 5.0% annual increase. In people <55 years of age, incidence was 0.92/100 000 (0.76-1.10) for men and 1.65/100 000 (1.43-1.89) for women, whereas for those 55 years or older incidence was 1.61 (1.34-1.91) for men and 1.17 (0.96-1.41) for women. In-hospital mortality was 2.1% with no sex difference. One-year mortality was 7.9%. Long-term mortality was higher in men (adjusted hazard ratio, 1.61 [1.09-2.38]) and in older patients (1.95 [1.69-2.24]; per 10-year increment).
Overall incidence of CVT in Finland was similar to that reported in the Netherlands and in Australia. There was a 5.0% yearly increase in the rate of admissions while in-hospital mortality was low. Sex-specific incidence rates differed markedly between younger and older people. Long-term mortality increased with age and was higher in men.
Overall incidence of CVT in Finland was similar to that reported in the Netherlands and in Australia. There was a 5.0% yearly increase in the rate of admissions while in-hospital mortality was low. Sex-specific incidence rates differed markedly between younger and older people. Long-term mortality increased with age and was higher in men.It's important to infer the binding site of RNA-binding proteins (RBP) for understanding the interaction between RBP and its RNA targets and decipher the mechanisms of transcriptional regulation. However, experimental detection of RBP binding sites is still time-intensive and expensive. Algorithms based on machine learning can speed up detection of RBP binding sites. In this article, we propose a new deep learning method, DeepA-RBPBS, which can use RNA sequences and structural features to predict RBP binding site. DeepA-RBPBS uses CNN and BiGRU to extract sequences and structural features without long-term dependence issues. It also utilizes an attention mechanism to enhance the contribution of key features. The comparison shows that the performance of DeepA-RBPBS is better than that of the state-of-the-art predictors. In the testing on 31 datasets of CLIP-seq experiments over 19 proteins, MCC (AUC) is 8% (5%) higher than those of the latest method based on deep learning, iDeepS. We also apply DeepA-RBPBS to the target RNA data of RBPs related to diabetes (LIN28, RBFOX2, FTO, IGF2BP2, CELF1 and HuR). The results show that DeepA-RBPBS correctly predicted 41,693 samples, where iDeepS predicted 31,381 samples. Communicated by Ramaswamy H. Sarma.Risks posed by pesticide residues in infant food urge for protection of the most vulnerable part of our population. In the current study a total of 54 samples of infant food (juice and purée) were collected on the Serbian market. Liquid chromatography-tandem mass spectrometry with electrospray ionization method detected 18 out of 69 analyzed pesticide active substances in 55.6% of the samples, most frequently carbendazim and acetamiprid. Domestic products as opposed to the imported ones showed a substantially higher proportion of positive (85% vs 38%) and noncompliant (10% vs 0%) samples, a number of pesticides detected (15 vs 8), the proportion of the samples with multiple residues (85% vs 15%), the maximum number of residues in an individual sample (7 vs 2). Risk assessment was performed for the present pesticide active substances, which was estimated to remain below the level of concern for both acute and chronic adverse health effects.Our work is composed of a python program for programmatic data mining of PubChem to collect data to implement a machine learning-based AutoQSAR algorithm to generate drug leads for the flaviviruses-Dengue and West Nile. The drug leads generated by the program are fed as programmatic inputs to AutoDock Vina package for automated in silico modelling of interaction between the compounds generated as drug leads by the program and the chosen Dengue and West Nile drug target methyltransferase, whose inhibition leads to the control of viral replication. The machine learning-based AutoQSAR algorithm involves feature selection, QSAR modelling, validation and prediction. The drug leads generated, each time the program is run, are reflective of the constantly growing PubChem database which is an important dynamic feature of the program which facilitates fast and dynamic drug lead generation against the West Nile and Dengue viruses. The program prints out the top drug leads after screening PubChem library which is over a billion compounds. The interaction of top drug lead compounds generated by the program and drug targets of West Nile and Dengue virus was modelled in an automated way through the tool. The results are stored in the working folder of the user. Thus, our program ushers in a new age of automatic ease in the virtual drug screening and drug identification through programmatic data mining of chemical data libraries and drug lead generation through machine learning-based AutoQSAR algorithm and an automated in silico modelling run through the program to study the interaction between the drug lead compounds and the drug target protein of West Nile and Dengue virus. The program is hosted, maintained and supported at the GitHub repository link given below Communicated by Ramaswamy H. Sarma.
Gut microbiota alters in patients with end-stage renal disease, which contributes to inflammation, atherosclerosis, and results in increased incidence of cardiovascular diseases. The present study investigated the potential clinical factors, which influence the gut microbial structure and function in patients undergoing peritoneal dialysis (PD).
This is a cross-sectional study performed in 81 prevalent PD patients. Gut microbiota was assessed by high throughput sequencing of 16S ribosomal ribonucleic acid gene in fecal samples. Gas chromatography was conducted to measure stool short-chain fat acid (SCFA) concentrations. Demographic parameters and clinical characteristics, including dialysis regimen, residual renal function, nutrition, and inflammation, were retrieved and related to the properties of gut microbiota.
PD duration, peritoneal glucose exposure, and estimated glomerulus filtration rate (eGFR) were identified to be associated with microbial variations. Significant separation of microbial composition was shown between patients with short or long PD duration (
= 0.
Website:
LVO receiving intravenous thrombolysis with tenecteplase have significantly better recanalization and clinical outcomes compared with patients receiving intravenous alteplase.
An accurate determination of the cardioembolic risk in patients with atrial fibrillation (AF) is crucial to prevent consequences like stroke. Obstructive sleep apnea (OSA) is a known risk factor for both AF and stroke. We aim to explore a possible association between OSA and an increased cardioembolic risk in patients with AF.
We assessed data from the ESADA (European Sleep Apnea Database) cohort where patients with known AF and OSA were included. Parameters of OSA severity and related hypoxia like lowest Spo
and 4% oxygen desaturation index were analyzed. Patients were stratified according to their cardioembolic risk estimated with the CHA
DS
-VASc score.
From the initial cohort of 14 646 patients, a final set of 363 patients were included in the analysis. Indices of hypoxia during sleep were associated with increased CHA
DS
-VASc score (4% oxygen desaturation index 17.9 versus 29.6 versus 30.5 events/hour and the lowest Spo
81.2 versus 77.8 versus 77.5% for low, moderate, and high cardioembolic risk, respectively,
<0.05).
These results support the potential role of OSA-related hypoxia in the risk for cardioembolic complications such as stroke in patients with AF.
These results support the potential role of OSA-related hypoxia in the risk for cardioembolic complications such as stroke in patients with AF.
We assessed prospectively whether nonalcoholic fatty liver disease (NAFLD) and its severity predict future ischemic stroke (IS) events in a community-based cohort.
From the Kailuan study, participants free of history of stroke, cancer, or myocardial infarction were enrolled after excluding alcohol abuse and other liver diseases. NAFLD was evaluated through ultrasonography. Participants with NAFLD were further stratified into mild, moderate, and severe groups. The outcome was the first occurrence of IS. The secondary outcomes included myocardial infarction and combined vascular events. We used Cox proportional hazards models to estimate hazard ratios and 95% CIs of incident IS according to presence and severity of NAFLD, adjusting for age, sex, physical activity, body mass index, smoker, history of hypertension, diabetes, hypercholesterolemia, lipid-lowering medication, HDL (high-density lipoprotein), triglyceride, hsCRP (high-sensitivity C-reactive protein), and fasting blood glucose.
During a median of 10.34 years of follow-up, we documented 3490 incident stroke cases among 79 905 participants. NAFLD was found in 24 874 (31.18%) participants. Relative to participants without NAFLD at the baseline, those with NAFLD had a 16% higher risk (95% CI, 1.07-1.26) of developing ischemic stroke, after adjusted for confounding variables. The hazard ratios for patients with mild, moderate, and severe NAFLD were 1.15 (95% CI, 1.05-1.25), 1.19 (95% CI, 1.06-1.34), and 1.21 (95% CI, 1.08-1.50), respectively.
The severity of NAFLD is associated with a higher risk of future ischemic stroke events.
The severity of NAFLD is associated with a higher risk of future ischemic stroke events.
The red blood cell fatty acid composition objectively reflects the long-term dietary intake of several fatty acids. In patients undergoing carotid endarterectomy, we explored whether red blood cell status of selected fatty acids related to symptomatic carotid artery disease.
We included patients with symptomatic (n=22) and asymptomatic (n=23) carotid artery disease. We determined all-C181 trans, linoleic acid (LA, C182n6), alpha-linolenic acid (C183n3), and the omega-3 index (sum of eicosapentaenoic [C205n3] and docosahexaenoic [C226n3] acids) in both red blood cells and carotid plaque phospholipids by gas-chromatography.
In a multivariate logistic regression analysis, we only observed a significant association for LA, whose red blood cell status was inversely related to symptomatic carotid artery disease (odds ratio, 0.116 [95% CI, 0.022-0.607],
=0.011, for each 1-SD increase). A similar result was observed for LA in carotid plaque phospholipids.
Cell membrane enrichment in LA, which reflects its intake, was inversely related to symptomatic carotid disease. This increases evidence supporting a favorable role of dietary LA in vascular health.
Cell membrane enrichment in LA, which reflects its intake, was inversely related to symptomatic carotid disease. This increases evidence supporting a favorable role of dietary LA in vascular health.
Epidemiology of cerebral venous thrombosis (CVT) has been reported to be changing. Because long-term nationwide data are needed to confirm this, we studied CVT occurrence between 2005 and 2014 in Finland.
All acute CVT admissions were retrieved from a mandatory registry covering mainland Finland. Patients aged ≥18 years were included. One admission per patient was allowed.
We identified 563 patients with CVT (56.5% women). Overall incidence was 1.32/100 000 (95% CI, 1.21-1.43) per year with a 5.0% annual increase. In people <55 years of age, incidence was 0.92/100 000 (0.76-1.10) for men and 1.65/100 000 (1.43-1.89) for women, whereas for those 55 years or older incidence was 1.61 (1.34-1.91) for men and 1.17 (0.96-1.41) for women. In-hospital mortality was 2.1% with no sex difference. One-year mortality was 7.9%. Long-term mortality was higher in men (adjusted hazard ratio, 1.61 [1.09-2.38]) and in older patients (1.95 [1.69-2.24]; per 10-year increment).
Overall incidence of CVT in Finland was similar to that reported in the Netherlands and in Australia. There was a 5.0% yearly increase in the rate of admissions while in-hospital mortality was low. Sex-specific incidence rates differed markedly between younger and older people. Long-term mortality increased with age and was higher in men.
Overall incidence of CVT in Finland was similar to that reported in the Netherlands and in Australia. There was a 5.0% yearly increase in the rate of admissions while in-hospital mortality was low. Sex-specific incidence rates differed markedly between younger and older people. Long-term mortality increased with age and was higher in men.It's important to infer the binding site of RNA-binding proteins (RBP) for understanding the interaction between RBP and its RNA targets and decipher the mechanisms of transcriptional regulation. However, experimental detection of RBP binding sites is still time-intensive and expensive. Algorithms based on machine learning can speed up detection of RBP binding sites. In this article, we propose a new deep learning method, DeepA-RBPBS, which can use RNA sequences and structural features to predict RBP binding site. DeepA-RBPBS uses CNN and BiGRU to extract sequences and structural features without long-term dependence issues. It also utilizes an attention mechanism to enhance the contribution of key features. The comparison shows that the performance of DeepA-RBPBS is better than that of the state-of-the-art predictors. In the testing on 31 datasets of CLIP-seq experiments over 19 proteins, MCC (AUC) is 8% (5%) higher than those of the latest method based on deep learning, iDeepS. We also apply DeepA-RBPBS to the target RNA data of RBPs related to diabetes (LIN28, RBFOX2, FTO, IGF2BP2, CELF1 and HuR). The results show that DeepA-RBPBS correctly predicted 41,693 samples, where iDeepS predicted 31,381 samples. Communicated by Ramaswamy H. Sarma.Risks posed by pesticide residues in infant food urge for protection of the most vulnerable part of our population. In the current study a total of 54 samples of infant food (juice and purée) were collected on the Serbian market. Liquid chromatography-tandem mass spectrometry with electrospray ionization method detected 18 out of 69 analyzed pesticide active substances in 55.6% of the samples, most frequently carbendazim and acetamiprid. Domestic products as opposed to the imported ones showed a substantially higher proportion of positive (85% vs 38%) and noncompliant (10% vs 0%) samples, a number of pesticides detected (15 vs 8), the proportion of the samples with multiple residues (85% vs 15%), the maximum number of residues in an individual sample (7 vs 2). Risk assessment was performed for the present pesticide active substances, which was estimated to remain below the level of concern for both acute and chronic adverse health effects.Our work is composed of a python program for programmatic data mining of PubChem to collect data to implement a machine learning-based AutoQSAR algorithm to generate drug leads for the flaviviruses-Dengue and West Nile. The drug leads generated by the program are fed as programmatic inputs to AutoDock Vina package for automated in silico modelling of interaction between the compounds generated as drug leads by the program and the chosen Dengue and West Nile drug target methyltransferase, whose inhibition leads to the control of viral replication. The machine learning-based AutoQSAR algorithm involves feature selection, QSAR modelling, validation and prediction. The drug leads generated, each time the program is run, are reflective of the constantly growing PubChem database which is an important dynamic feature of the program which facilitates fast and dynamic drug lead generation against the West Nile and Dengue viruses. The program prints out the top drug leads after screening PubChem library which is over a billion compounds. The interaction of top drug lead compounds generated by the program and drug targets of West Nile and Dengue virus was modelled in an automated way through the tool. The results are stored in the working folder of the user. Thus, our program ushers in a new age of automatic ease in the virtual drug screening and drug identification through programmatic data mining of chemical data libraries and drug lead generation through machine learning-based AutoQSAR algorithm and an automated in silico modelling run through the program to study the interaction between the drug lead compounds and the drug target protein of West Nile and Dengue virus. The program is hosted, maintained and supported at the GitHub repository link given below Communicated by Ramaswamy H. Sarma.
Gut microbiota alters in patients with end-stage renal disease, which contributes to inflammation, atherosclerosis, and results in increased incidence of cardiovascular diseases. The present study investigated the potential clinical factors, which influence the gut microbial structure and function in patients undergoing peritoneal dialysis (PD).
This is a cross-sectional study performed in 81 prevalent PD patients. Gut microbiota was assessed by high throughput sequencing of 16S ribosomal ribonucleic acid gene in fecal samples. Gas chromatography was conducted to measure stool short-chain fat acid (SCFA) concentrations. Demographic parameters and clinical characteristics, including dialysis regimen, residual renal function, nutrition, and inflammation, were retrieved and related to the properties of gut microbiota.
PD duration, peritoneal glucose exposure, and estimated glomerulus filtration rate (eGFR) were identified to be associated with microbial variations. Significant separation of microbial composition was shown between patients with short or long PD duration (
= 0.
Website:
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