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Nevin Manimala Statistics

Prediction of wall stress and oxygen flow in patient-specific abdominal aortic aneurysms: the role of intraluminal thrombus

Biomech Model Mechanobiol. 2022 Jul 30. doi: 10.1007/s10237-022-01618-w. Online ahead of print.

ABSTRACT

In this study, the biomechanical role of intraluminal thrombus (ILT) in an abdominal aortic aneurysm (AAA) is investigated. The implications of ILT in AAA are controversial in literature. Previous studies have demonstrated that ILT provides a biomechanical advantage by decreasing wall stress, whereas other studies have associated ILT with inhibiting oxygen transport and inducing aortic wall weakening. Therefore, we sought to explore the connection between ILT, mechanical stresses, and oxygen flow in different geometries of patient-specific aneurysms with varying ILT morphologies. The objective is to investigate the extent to which ILT influences the prediction of aneurysmal wall stresses that are associated with rupture, as well as oxygen concentrations to measure tissue oxygen deprivation. Three patient-specific AAA geometries are considered, and two models, one with ILT and one without ILT, are created for each patient to assess the effect of ILT presence. A fluid-structure interaction approach is used to couple the blood flow, wall deformation, and oxygen mass transport. Results are presented for hemodynamics patterns, wall stress measures, and oxygen metrics within the arterial wall. While ILT is found to reduce wall stress, simulations confirm that ILT decreases oxygen transport within the tissue significantly, leading to wall hypoxia.

PMID:35908098 | DOI:10.1007/s10237-022-01618-w

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Nevin Manimala Statistics

Ultrasound-guided hydrodistension for adhesive capsulitis: a longitudinal study on the effect of diabetes on treatment outcomes

Skeletal Radiol. 2022 Jul 30. doi: 10.1007/s00256-022-04141-2. Online ahead of print.

ABSTRACT

OBJECTIVE: The effect of diabetes on adhesive capsulitis (AC) and its impact on the outcomes of ultrasound (US)-guided hydrodistension of the glenohumeral joint are still unclear. We aimed to identify predictors of US-guided hydrodistension outcomes, while assessing the performance of the method in diabetic compared to non-diabetic patients.

MATERIALS AND METHODS: A total of 135 patients with AC who underwent US-guided hydrodistension were prospectively included. Demographics and factors linked to chronic inflammation and diabetes were recorded and patients were followed-up for 6 months. Functionality and pain were evaluated with the Disabilities of the Arm, Shoulder and Hand (DASH) and the Visual Analogue Scale (VAS) score. Statistical analysis was performed with Mann-Whitney U test, linear, and binary logistic regression.

RESULTS: Diabetes was identified in 25/135 patients (18.5%). Diabetic patients had worse DASH and VAS score at presentation (P < 0.0001) and presented with a higher grade of AC (P < 0.0001) and lower range of motion (P < 0.01) compared to non-diabetics. Higher DASH (P = 0.025) and VAS scores (P = 0.039) at presentation were linked to worse functionality at 6 months. Presence and duration of diabetes, and the number of hydrodistension repeats, correlated with worse VAS and DASH scores at 6 months. The number of procedure repeats was the only independent predictor of complete pain resolution at 6 months (OR 0.418, P = 003).

CONCLUSION: Diabetes is linked to more severe AC at presentation and worse outcomes in patients undergoing US-guided hydrodistension. In resistant cases, repeating the intervention is independently linked to worse outcomes for at least 6 months post-intervention.

PMID:35908089 | DOI:10.1007/s00256-022-04141-2

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Nevin Manimala Statistics

Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms

Sci Rep. 2022 Jul 30;12(1):13132. doi: 10.1038/s41598-022-17263-3.

ABSTRACT

Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore, water loss must be precisely measured. Evaporation is an intricate nonlinear process occurring as a result of several climatic aspects. The purpose of this research is to assess the feasibility of using Random Forest (RF) and two deep learning techniques, namely convolutional neural network (CNN), and deep neural network (DNN) to accurately estimate monthly pan evaporation rates. Month-based weather data gathered from four Malaysian weather stations during the 2000-2019 timeframe was used to train and evaluate the models. Several input attributes (predictor variables) were investigated to select the most suitable variables for machine learning models. Every approach was tested with several models, each with a different set of model aspects and input parameter combinations. The formulated ML approaches were benchmarked against two commonly used empirical methods: Stephens & Stewart and Thornthwaite. Model outcomes were assessed using standard statistical measures to determine their effectiveness in predicting evaporation. The results indicated that the three ML models developed in the study performed better than empirical models and could significantly improve the precision of monthly Ep estimates even with the identical input sets. The performance assessment metrics also show that the formulated CNN approach was acceptable for modelling monthly water loss due to evaporation with a higher degree of accuracy than other ML frameworks explored in this study. In addition, the CNN framework outperformed other AI techniques evaluated for the same areas using identical data inputs. The investigation’s findings in relation to the various performance criteria show that the proposed CNN model is capable of capturing the highly non-linearity of evaporation and could be regarded as an effective tool to predict evaporation.

PMID:35908080 | DOI:10.1038/s41598-022-17263-3

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Nevin Manimala Statistics

Evaluation of anthropometric indices and their relationship with maternal nutritional literacy and selected socio-economic and demographic variables among children under 5 years old

Ital J Pediatr. 2022 Jul 30;48(1):137. doi: 10.1186/s13052-022-01327-1.

ABSTRACT

BACKGROUND: Considering the destructive effects of malnutrition on the growth, development, and health of children and the importance of identifying the factors affecting it, the present study aimed to investigate the status of anthropometric indices and their relationship with maternal nutritional literacy and selected socio-economic and demographic variables among children under 5 years old.

METHODS: This cross-sectional study was conducted on 405 mothers with children under 5 years old in Urmia, Iran. The data collection tool consisted of two parts. The first part was the demographic and socio-economic information of mother and child and the second part was the Evaluation Instrument of Nutrition Literacy on Adults; EINLA.

RESULTS: There was statistically significant relationship between maternal nutritional literacy with weight-for-age, height-for-age, and weight-for-height indices; between weight-for-age index with maternal education, gestational weight gain, and mean weight, as well as mean height of the mother; between weight-for-age and weight-for-height indices with child gender, type of milk consumed, status of starting complementary foods, and history of acute respiratory infection, as well as diarrhea; and finally between height-for-age with family income status.

CONCLUSIONS: It is suggested that mothers with low nutritional literacy, mothers whose gestational weight gain was not normal, children whose family income is low, boy child, children with a history of disease, children who consume powdered milk and children who have not started complementary foods at the right time be given priority when designing and implementing educational interventions to enhance nutritional status and anthropometric indices of children.

PMID:35908060 | DOI:10.1186/s13052-022-01327-1

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Nevin Manimala Statistics

Cholesterol sulfate alleviates ulcerative colitis by promoting cholesterol biosynthesis in colonic epithelial cells

Nat Commun. 2022 Jul 30;13(1):4428. doi: 10.1038/s41467-022-32158-7.

ABSTRACT

Cholesterol sulfate, produced by hydroxysteroid sulfotransferase 2B1 (SULT2B1), is highly abundant in the intestine. Herein, we study the functional role and underlying intestinal epithelial repair mechanisms of cholesterol sulfate in ulcerative colitis. The levels of cholesterol and cholesterol sulfate, as well as the expression of Sult2b1 and genes involved in cholesterol biosynthesis, are significantly higher in inflamed tissues from patients with ulcerative colitis than in intestinal mucosa from healthy controls. Cholesterol sulfate in the gut and circulation is mainly catalyzed by intestinal epithelial SULT2B1. Specific deletion of the Sult2b1 gene in the intestinal epithelial cells aggravates dextran sulfate sodium-induced colitis; however, dietary supplementation with cholesterol sulfate ameliorates this effect in acute and chronic ulcerative colitis in mice. Cholesterol sulfate promotes cholesterol biosynthesis by binding to Niemann-Pick type C2 protein and activating sterol regulatory element binding protein 2 in colonic epithelial cells, thereby alleviates ulcerative colitis. In conclusion, cholesterol sulfate contributes to the healing of the mucosal barrier and exhibits therapeutic efficacy against ulcerative colitis in mice.

PMID:35908039 | DOI:10.1038/s41467-022-32158-7

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Nevin Manimala Statistics

Chinese version of the auditory verbal learning test: normative study and clinical applications in Chinese-speaking population in Shijiazhuang city

Acta Neurol Belg. 2022 Jul 30. doi: 10.1007/s13760-022-01976-3. Online ahead of print.

ABSTRACT

OBJECTIVE: The purposes were to establish standardized values for the Auditory Verbal Learning Test (AVLT) in the communities of Shijiazhuang city (China), with particular focus on the influences of age, education and sex, and to detect the discriminant validity data of the AVLT in patients with acute ischemic stroke (AIS).

METHODS: 406 Chinese-speaking subjects (age: 50-84 years old) from Shijiazhuang city, were brought into this study. Using linear regression analyses, standardized values were developed for three variables of interest, including scores on short-term memory (sum of AVLT trials 1-3), delayed recall (AVLT trial 4), and an index representing recognition memory corrected for false-positive identifications (AVLT trial 5). 177 patients with AIS were included to probe the discriminant validity of the AVLT.

RESULTS: The linear regression analysis showed statistically significant effect of age and sex on all trials of the AVLT. Years of education contributed significantly to trial 1-3 and trial 4 but not trial 5. Based on the results obtained, trail 1-3 and trail 4 of AVLT norms were stratified by age (3 strata), education (2 strata), and sex (2 strata). Trail 5 norms were stratified by age (3 strata) and sex (2 strata). Moreover, AIS groups performed significantly worse on most AVLT trials than matched cognitively healthy controls.

CONCLUSIONS: Normative data stratified by age, education and sex for the Chinese-speaking community-residents in Shijiazhuang was presented for use in research and clinical settings. The AVLT measures adequately differentiated between the cognitive performance (especially memory decline) of healthy adults and patients with AIS.

PMID:35908017 | DOI:10.1007/s13760-022-01976-3

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Nevin Manimala Statistics

To clarify the safety profile of paracetamol for home-care patients with COVID-19: a real-world cohort study, with nested case-control analysis, in primary care

Intern Emerg Med. 2022 Jul 30. doi: 10.1007/s11739-022-03054-1. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: This study aimed to compare the prescribing patterns of paracetamol in COVID-19 with those for similar respiratory conditions and investigated the association between paracetamol use and COVID-19-related hospitalization/death.

METHODS: Using a primary care data source, we conducted a cohort study to calculate the incidence rate of paracetamol use in COVID-19 and for similar respiratory conditions in 2020 and 2019 (i.e. pre-pandemic phase), respectively. In the study cohort, we nested a case-control analyses to investigate the association between paracetamol use and COVID-19-related hospitalizations/deaths.

RESULTS: Overall, 1554 (33.4 per 1000) and 2566 patients (78.3 per 1000) were newly prescribed with paracetamol to treat COVID-19 or other respiratory conditions, respectively. Those aged 35-44 showed the highest prevalence rate (44.7 or 99.0 per 1000), while the oldest category reported the lowest value (17.8 or 39.8 per 1000). There was no association for early (OR = 1.15; 95% CI: 0.92-1.43) or mid-term (OR = 1.29; 95% CI: 0.61-2.73) users of paracetamol vs. non-users. Instead, the late users of paracetamol showed a statistically significant increased risk of hospitalization/death (OR = 1.75; 95% CI: 1.4-2.2).

CONCLUSIONS: Our findings provide reassuring evidence on the use and safety profile of paracetamol to treat early symptoms of COVID-19 as in other respiratory infections.

PMID:35908013 | DOI:10.1007/s11739-022-03054-1

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Nevin Manimala Statistics

The association between weight loss and long term development in quality-of-life among children living with obesity: a pragmatic descriptive intervention study

Ital J Pediatr. 2022 Jul 30;48(1):135. doi: 10.1186/s13052-022-01326-2.

ABSTRACT

BACKGROUND: Childhood obesity is associated with impaired Quality-of-Life (QoL), increased stigmatization and higher risk of development of depression compared to their peers. This report describes the long-term development in QoL for cohort of children with obesity after a sustainable weight reduction.

METHODS: This pragmatic descriptive intervention study enrolled 120 children with obesity, age 5-17 years, in a multifactorial lifestyle intervention. The intervention was an across sectors collaboration between a department of pediatrics and community health care workers. QoL was assessed yearly throughout the intervention and evaluated by a 6-item Visual Analogue Scale (VAS). For analyzing changes in VAS, as function BMI-SDS, regression models were used, while ANOVA and Wilcoxon test were applied for normal and not-normal distributed data. 95% confidence interval not containing 0 and p-value < 0.05 was considered statistically significant.

RESULTS: After 26.4 months (13.9 SD) an overall decrease in bullying (0.6 vs. 0.0 median) and motivation (10.0 vs. 9.6) was observed. QoL increased in children with a BMI-SDS reduction (0.65 (2.49 SD)) opposite children with no-change or increasing BMI-SDS who reported reduced QoL (-0.36 (1.55 SD) and -0.96 (2.27 SD)). A significant inverse relationship was observed for Joy of Life, QoL and body perception as a function of BMI-SDS per year.

CONCLUSION: Weight reduction causes improvement in QoL for children with obesity and an inverse relationship for QoL and changing BMI-SDS / year was establish.

PMID:35908012 | DOI:10.1186/s13052-022-01326-2

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Nevin Manimala Statistics

The correlation of plasma atherogenic index and obesity in patients with familial Mediterranean fever

Clin Rheumatol. 2022 Jul 30. doi: 10.1007/s10067-022-06312-x. Online ahead of print.

ABSTRACT

BACKGROUND: The plasma atherogenic index (PAI) is associated with cardiovascular diseases. This study evaluated the relationship between PAI and obesity in patients with familial Mediterranean fever (FMF) and its advantage over conventional lipid components in predicting obesity.

METHODS: The cross-sectional study included 164 FMF patients in the attack-free period and a control group of 160 healthy individuals. Serum lipid components were measured, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). PAI was calculated as log 10 (TG/HDL-C). The relationship between PAI, four conventional lipid profiles, and obesity was evaluated.

RESULTS: The mean PAI values (p = 0.003), frequency of obesity (p = 0.005), TC (p = 0.008), TG (p = 0.000), and LDL-C (p = 0.005) values were determined to be statistically significantly higher in the FMF patients than in the control group. The FMF patients with a higher PAI value had a higher risk of obesity, systolic and diastolic blood pressure, TC, and LDL-C, and lower HDL-C (p < 0.001). The Pearson coefficient for PAI (r = 0.854; p < 0.001) was calculated as an explanatory percentage on the variable of obesity of r2 = 0.730. There was a stronger relationship between obesity and PAI than conventional lipid components (p < 0.001).

CONCLUSION: We have found that the PAI, BMI, TC, TG, and LDL-C values of the FMF patients were determined to be higher. The higher PAI was strongly correlated to obesity in FMF patients. The first time in FMF patients, PAI showed increased sensitivity to predict obesity, higher than conventional lipid components. It can be a promising biomarker for obesity compared to other lipid components. A low-cost and readily available index derived from routine (TG and HDL-C) tests are advantages in identifying obesity in FMF patients. Key Points • The PAI is valuable for atherosclerotic CVD risk management in patients with rheumatismal diseases. • A correlation is found between PAI level and obesity, and it is used as a biomarker for obesity in the healthy population. • The PAI revealed increased sensitivity to predict obesity, higher than conventional lipid components in FMF patients.

PMID:35907970 | DOI:10.1007/s10067-022-06312-x

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Nevin Manimala Statistics

Access to surgical care in Ethiopia: a cross-sectional retrospective data review

BMC Health Serv Res. 2022 Jul 30;22(1):973. doi: 10.1186/s12913-022-08357-9.

ABSTRACT

BACKGROUND: Access to emergency and essential surgical care is still unmet and accessibility is disproportionately inequitable in Ethiopia and other low-and middle-income countries. The aim of this study was to assess surgical care access in terms of capability, capacity, and timeliness of care in different levels of health care in Ethiopia.

METHODS: A cross-sectional study with retrospective data review was conducted in 172 health facilities from December 30, 2020 to June 10, 2021. Descriptive statistics such as median with interquartile range and proportion were computed using STATA Version 15 statistical software.

RESULTS: Within a 90-day interval of the study period, 69,717 major and minor surgeries, and 33,052 bellwether procedures were performed, and major surgeries accounted for 58% of the surgeries. About 1.6%, 23.56%, 25.34%, and 32.2% of both major and minor, and 3.1%, 12.8%, 27.6%, and 45.3% of bellwether procedures were performed in health center OR blocks, primary, general, and specialized hospitals, respectively. Private hospitals performed 17.33% of major and minor and 11.2% of bellwether procedures for the period. The average pre-admission waiting time for surgical patients in primary, general, and specialized hospitals was 9.68, 37.6, and 35.9 days, respectively, whereas, in private hospitals, the average pre-admission waiting time was 1.42 days. On average, surgical patients traveled 5 Hrs, 11 Hrs, 28.4 Hrs, and 21.3 Hrs to access surgical services in primary, general, specialized, and private hospitals, respectively. The surgical workforce to the population served ratio was 7.5, 1.15, and 1.31/100.000 population in primary, specialized and general hospitals, respectively.

CONCLUSION: Most surgical procedures were performed in specialized hospitals, indicating that there is a burden in these health facilities. The pre-admission waiting time for surgical patients was long in higher-level public hospitals. Surgical patients traveled a long distance to access surgical service in higher level hospitals. The ratio of surgical workforce per 100,000 population served was low in all levels of public health facilities in general, and in higher level hospitals in particular. Efforts should therefore be made to strengthen all levels of the health system and improve surgical care access in terms of capacity, capability, and timeliness in the country.

PMID:35907955 | DOI:10.1186/s12913-022-08357-9