Lomholtwells5853
The number of people living with dementia is forecasted to increase rapidly, particularly in developing and underdeveloped countries. No epidemiological studies of dementia have been reported in Jordan; therefore, the number of people living with dementia and the risk factors are unknown.
Measure the annual period prevalence of dementia, along with its risk factors in Jordanian hospitalized patients over the age of 50 years.
The prevalence of dementia was measured using a prospective survey design for over one year. Risk factors were explored using a case-control match design.
The total number of participants in the overall survey was 31,411, and the number of participants included as cases with dementia was 406, the number of matched controls free of dementia was 416. The general annual period prevalence of dementia for people older than 50 years was 1.29%, comprising 406 patients. Multivariate analysis revealed that older age, male gender, family history of dementia, and illiteracy were significant risk factors for dementia.
The prevalence of dementia in Jordan is lower than the global prevalence due to the relatively younger Jordanian population. Results from this study can provide baseline information for policymakers for significant health planning to meet the needs of such a group of patients.
The prevalence of dementia in Jordan is lower than the global prevalence due to the relatively younger Jordanian population. Results from this study can provide baseline information for policymakers for significant health planning to meet the needs of such a group of patients.
Coronary heart disease (CHD) is the most common cardiovascular disease which greatly threatens the health of middle-aged and elderly people.
To explore the correlations of epicardial adipose tissue (EAT) thickness with right common carotid artery elasticity and intima-media thickness (IMT) in middle-aged and elderly patients with CHD by ultrasound.
A total of 132 patients diagnosed with CHD by coronary angiography (CAG) from February 2019 to August 2020 were enrolled and divided into single-vessel disease group (n=38), double-vessel disease group (n=52), and three-vessel disease group (n=42), and 52 healthy subjects were selected as control group. Their general data, biochemical indices, EAT thickness, right common carotid artery elasticity indices, and IMT were compared. The correlations of EAT thickness with right common carotid artery elasticity indices and IMT were studied by Pearson's analysis. The predictive values of EAT thickness and IMT for CHD were analyzed by receiver operating characteristicosis.
Currently, there have been studies showing a correlation between sex differences and prognosis. Nevertheless, the conclusions of clinical studies on sex-based differences are controversial. We aimed to evaluate the effect of sex on the short- and long-term survival of critically ill patients with sepsis.
We use the critical care database of the healthcare information mart. Cox models were conducted to determine the relationship of 28-day and 1-year mortality with a different sex. Interaction and stratified analyses were conducted to test whether the effect of sex differed across age and sequential organ failure assessment (SOFA) score subgroups.
A total of 12,321 patients were enrolled in this study. The Cox regression analysis showed that the 28-day and 1-year mortality rates of female patients were significantly lower than those of male patients by 10% and 8%, respectively (hazard ratio [HR]=0.90, 95% confidence interval [CI] 0.83-0.98, and HR=0.92, 95% CI 0.87-0.97, respectively). The effects of the with sepsis. Notably, there was an interaction between age and sex, and whether female-associated hormones or other contributing factors affect the clinical outcomes of patients with sepsis needs to be further researched.
We examined the relationship between different levels of serum sodium and mortality among elderly patients with acute kidney injury (AKI).
We retrospectively enrolled elderly patients from Chinese PLA General Hospital from 2007, to 2018. All-cause mortality was examined according to eight predefined sodium levels <130.0 mmol/L, 130.0-134.9 mmol/L, 135.0-137.9 mmol/L, 138.0-141.9 mmol/L, 142.0-144.9 mmol/L, 145.0-147.9 mmol/L, 148.0-151.9 mmol/L, and ≥152.0 mmol/L. We estimated the risk of all-cause mortality using a multivariable adjusted Cox analysis, with a normal sodium level of 135.0-137.9 mmol/L as a reference.
In total, 744 patients were suitable for the final evaluation. After 90 days, the mortality rates in the eight strata were 36.1, 27.8, 19.6, 24.4, 30.7, 48.6, 52.8, and 57.7%, respectively. In the multivariable adjusted analysis, patients with sodium levels <130.0 mmol/L (HR 2.247; 95% CI 1.117-4.521), from 142.0 to 144.9 mmol/L (HR 1.964; 95% CI 1.100-3.508), from 145.0 to 147.9 mmol/L (HR 2.942; 95% CI 1.693-5.114), from 148.0 to 151.9 mmol/L (HR 3.455; 95% CI 2.009-5.944), and ≥152.0 mmol/L (HR 3.587; 95% CI 2.151-5.983) had an increased risk of all-cause mortality. selleck products After 1 year, the mortality rates in the eight strata were 58.3, 47.8, 33.7, 38.9, 45.5, 64.3, 69.4, and 78.4%, respectively. Patients with sodium levels <130.0 mmol/L (HR 1.944; 95% CI 1.125-3.360), from 142.0 to 144.9 mmol/L (HR 1.681; 95% CI 1.062-2.660), from 145.0 to 147.9 mmol/L (HR 2.631; 95% CI 1.683-4.112), from 148.0 to 151.9 mmol/L (HR 2.411; 95% CI 1.552-3.744), and ≥152.0 mmol/L (HR 3.037; 95% CI 2.021-4.563) had an increased risk of all-cause mortality.
Sodium levels outside the interval of 130.0-141.9 mmol/L were associated with increased risks of 90-day mortality and 1-year mortality in elderly AKI patients.
Sodium levels outside the interval of 130.0-141.9 mmol/L were associated with increased risks of 90-day mortality and 1-year mortality in elderly AKI patients.
This study aimed to use traditional statistics and machine learning to develop and validate prediction models for predicting hospital death in patients with AMI and compare these models' performance.
Data were retrieved from the Medical Information Mart for Intensive Care (MIMIC III) electronic clinical database. A total of 338 eligible AMI patients were divided into a training cohort (n = 238) and a validation cohort (n = 100), and all patients were divided into survival groups and nonsurvival groups according to patients' hospital outcomes. The performance of the traditional statistics prediction model and the optimal machine learning prediction model was evaluated and compared with respect to discrimination, calibration, and clinical utility in the validation cohort.
Univariate and multivariate logistic regression analyses identified the following independent risk factors associated with hospital death for AMI in the training cohort, including diastolic blood pressure, blood lactate, blood creatinine nomogram achieved a concise and relatively accurate prediction of hospital death in patients with AMI, the machine learning model also has good discrimination and seems to have better clinical utility. Traditional statistics may help infer the relationship between risk factors and hospital death, while machine learning may contribute to a more accurate prediction. Traditional statistics and machine learning are complementary in developing the prediction model for hospital death of AMI. Therefore, a combination of nomogram-machine learning (Nomo-ML) predictive model may improve care and help clinicians make AMI management-related decisions.
To investigate the potential of standing 8-electrode bioelectrical impedance analysis (BIA) for assessing visceral fat area (VFA) and body fat mass (BFM) in athletes.
A total of 95 subjects (50 males and 45 females) were recruited. VFA and BFM measurements were obtained using three standing 8-electrode BIA devices, InBody230, InBody770, and IOI353. These acquired VFA and BFM were expressed as VFA
, VFA
, VFA
V, BFM
, BFM
, and BFM
respectively. As reference measurement, the VFA acquired from computer tomography (CT) was expressed as VFA
, and the BFM measured by dual-energy X-ray absorptiometry (DXA) was denoted as BFM
.
The coefficient of determination (r
) in regression analysis between the measurements by VFA
, VFA
, VFA
and VFA
were 0.425, 0.492, and 0.473, respectively. Also, the limits of agreement (LOA) obtained from Bland-Altman analysis were -25.18 to 56.62, -29.74 to 62.44, and -32.96 to 71.93 cm
. For BFM, r
in regression analysis between the measurements by BFM
, BFM
, BFM
and BMF
were 0.894, 0.950, and 0.955, respectively; LOA were -7.21 to 5.75, -4.70 to 4.05, and -5.48 to 3.05 kg, respectively.
The results showed when assessing BFM, these instruments delivered comparable measurements, and the degree of agreement ranged from excellent to moderate compared with the reference method. However, when assessing VFA, the agreements were weak. Therefore, the application of standing 8-electrode BIA devices for assessing athletes' VFA still needs improvement.
The results showed when assessing BFM, these instruments delivered comparable measurements, and the degree of agreement ranged from excellent to moderate compared with the reference method. However, when assessing VFA, the agreements were weak. Therefore, the application of standing 8-electrode BIA devices for assessing athletes' VFA still needs improvement.
N6-methyladenosine (m6A) is the most frequent internal modification in eukaryotic mRNAs and is closely related to the occurrence and development of many diseases, especially tumors. However, the relationship between m6A methylation and rheumatoid arthritis (RA) is still a mystery.
Two high-throughput sequencing methods, namely, m6A modified RNA immunoprecipitation sequence (m6A-seq) and RNA sequence (RNA-seq) were performed to identify the differentially expressed m6A methylation in human rheumatoid arthritis fibroblast-like synoviocytes cell line MH7A after stimulation with TNF-α. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to obtain enriched GO terms and significant KEGG pathways. link2 Then, four candidate genes, Wilms tumor 1-associating protein (WTAP), receptor-interacting serine/threonine protein kinase 2 (RIPK2), Janus kinase 3 (JAK3) and tumor necrosis factor receptor SF10A (TNFRSF10A) were selected to further validate the m6A methylation, mRNA and pccordance with the m6A and RNA sequencing results.
This study established the transcriptional map of m6A in MH7A cells and revealed the potential relationship between RNA methylation modification and RA related genes. The results suggested that m6A modification was associated with the occurrence and course of RA to some extent.
This study established the transcriptional map of m6A in MH7A cells and revealed the potential relationship between RNA methylation modification and RA related genes. link3 The results suggested that m6A modification was associated with the occurrence and course of RA to some extent.
During the last decade, obesity has become an epidemic. As obesity is now considered a state of low-grade inflammation, the purpose of this study was to assess the prevalence of four common elements of inflammation, in individuals with increased BMI. These findings were compared to those of subjects with normal BMI. The effect of gender was also noted.
Data were collected from medical records of individuals examined at a screening center in Israel between the years 2000-2014. Cross-sectional analysis was carried out on 7526 men and 3219 women. White blood cell count (WBC); platelet (PLT) count; erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were assessed in four BMI categories normal, overweight, obese and morbidly obese.
Mean (SD) age of the study sample was 47.5 (9.7) and 46.7 (9.8) years for men and women, respectively. The prevalence of each inflammatory marker increased significantly when comparing abnormal to normal BMI (p<0.0001). The odds ratio (OR) of the prevalence of increased inflammatory markers was compared between subjects with overweight, obese and morbid obesity and subjects with normal BMI.
