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Nevin Manimala Statistics

Association of COVID-19 with Risk and Progression of Alzheimer’s Disease: Non-Overlapping Two-Sample Mendelian Randomization Analysis of 2.6 Million Subjects

J Alzheimers Dis. 2023 Nov 18. doi: 10.3233/JAD-230632. Online ahead of print.

ABSTRACT

BACKGROUND: Epidemiological studies showed that COVID-19 increases risk of Alzheimer’s disease (AD). However, it remains unknown if there is a potential genetic predispositional effect.

OBJECTIVE: To examine potential effects of genetic susceptibility of COVID-19 on the risk and progression of AD, we performed a non-overlapping 2-sample Mendelian randomization (MR) study using summary statistics from genome-wide association studies (GWAS).

METHODS: Two-sample Mendelian randomization (MR) analysis of over 2.6 million subjects was used to examine whether genetic susceptibility of COVID-19 is not associated with the risk of AD, cortical amyloid burden, hippocampal volume, or AD progression score. Additionally, a validation analysis was performed on a combined sample size of 536,190 participants.

RESULTS: We show that the AD risk was not associated with genetic susceptibility of COVID-19 risk (OR = 0.98, 95% CI 0.81-1.19) and COVID-19 severity (COVID-19 hospitalization: OR = 0.98, 95% CI 0.9-1.07, and critical COVID-19: OR = 0.98, 95% CI 0.92-1.03). Genetic predisposition to COVID-19 is not associated with AD progression as measured by hippocampal volume, cortical amyloid beta load, and AD progression score. These findings were replicated in a set of 536,190 participants. Consistent results were obtained across models based on different GWAS summary statistics, MR estimators and COVID-19 definitions.

CONCLUSIONS: Our findings indicated that the genetic susceptibility of COVID-19 is not associated with the risk and progression of AD.

PMID:38007657 | DOI:10.3233/JAD-230632

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Nevin Manimala Statistics

Effect of Nordic Sensi® Chair on Behavioral and Psychological Symptoms of Dementia in Nursing Homes Residents: A Randomized Controlled Trial

J Alzheimers Dis. 2023 Nov 21. doi: 10.3233/JAD-230391. Online ahead of print.

ABSTRACT

BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) are present in most people with dementia (PwD), including Alzheimer’s disease. There is consensus that non-pharmacological therapies represent the first line of treatment to address BPSD.

OBJECTIVE: We explore the efficacy of the use of a rocking chair (Nordic Sensi® Chair, NSC) in the treatment of BPSD in nursing home residents with moderate and severe dementia.

METHODS: We carried out a 16-week randomized, single-blind, controlled, clinical trial with PwD admitted to nursing homes. Participants were assigned to a treatment group (n = 40) that received three times a week one session per day of 20 minutes in the NSC and a control group (n = 37). The Neuropsychiatric Inventory-Nursing Home (NPI-NH) was used as primary efficacy outcome. Occupational distress for the staff was evaluated using the NPI-NH Occupational Disruptiveness subscale (NPI-NH-OD). Statistical analyses were conducted by means of a Mixed Effects Model Analysis.

RESULTS: Treatment with the NSC was associated with a beneficial effect in most of BPSD, as reflected by differences between the treatment and control group on the NPI-NH total score (mean change score -18.87±5.56 versus -1.74±0.67, p = 0.004), agitation (mean change score -2.32±2.02 versus -0.78±1.44, p = 0.003) and irritability (mean change score -3.35±2.93 versus -1.42±1.31, p = 0.004). The NPI-NH-OD total score also improved the most in the treatment group (mean change score -9.67±7.67 versus -7.66±6.08, p = 0.003).

CONCLUSIONS: The reduction in overall BPSD along with decreased caregiver occupational disruptiveness represent encouraging findings, adding to the potential of nonpharmacological interventions for nursing home residents living with dementia.

PMID:38007648 | DOI:10.3233/JAD-230391

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Nevin Manimala Statistics

Sensitivity of Individual and Composite Test Scores from the Cogstate Brief Battery to Mild Cognitive Impairment and Dementia Due to Alzheimer’s Disease

J Alzheimers Dis. 2023 Nov 21. doi: 10.3233/JAD-230352. Online ahead of print.

ABSTRACT

BACKGROUND: The Cogstate Brief Battery (CBB) is a computerized cognitive test battery used commonly to identify cognitive deficits related to Alzheimer’s disease (AD). However, AD and normative samples used to understand the sensitivity of the CBB to AD in the clinic have been limited, as have the outcome measures studied.

OBJECTIVE: This study investigated the sensitivity of CBB outcomes, including potential composite scores, to cognitive impairment in mild cognitive impairment (MCI) and dementia due to AD, in carefully selected samples.

METHODS: Samples consisted of 4,871 cognitively unimpaired adults and 184 adults who met clinical criteria for MCI (Clinical Dementia Rating (CDR) = 0.5) or dementia (CDR > 0.5) due to AD and CBB naive. Speed and accuracy measures from each test were examined, and theoretically- and statistically-derived composites were created. Sensitivity and specificity of classification of cognitive impairment were compared between outcomes.

RESULTS: Individual CBB measures of learning and working memory showed high discriminability for AD-related cognitive impairment for CDR 0.5 (AUCs ∼ 0.79-0.88), and CDR > 0.5 (AUCs ∼ 0.89-0.96) groups. Discrimination ability for theoretically derived CBB composite measures was high, particularly for the Learning and Working Memory (LWM) composite (CDR 0.5 AUC = 0.90, CDR > 0.5 AUC = 0.97). As expected, statistically optimized linear composite measures showed strong discrimination abilities albeit similar to the LWM composite.

CONCLUSIONS: In older adults, the CBB is effective for discriminating cognitive impairment due to MCI or AD-dementia from unimpaired cognition with the LWM composite providing the strongest sensitivity.

PMID:38007647 | DOI:10.3233/JAD-230352

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Nevin Manimala Statistics

The discriminatory diagnostic value of multimodal ultrasound combined with blood cell analysis for granulomatous lobular mastitis and invasive ductal carcinoma of the breast

Clin Hemorheol Microcirc. 2023 Nov 24. doi: 10.3233/CH-231999. Online ahead of print.

ABSTRACT

OBJECTIVE: To explore the discriminatory diagnostic value of multimodal ultrasound(US) combined with blood cell analysis(BCA) for Granulomatous Lobular Mastitis (GLM) and Invasive Ductal Carcinoma(IDC) of the breast.

METHODS: A total of 157 breast disease patients were collected and divided into two groups based on postoperative pathological results: the GLM group(57 cases with 57 lesions) and the IDC group(100 cases with 100 lesions). Differences in multimodal ultrasound features and the presence of BCA were compared between the two groups. The receiver operating characteristic(ROC) curve was used to calculate the optimal cutoff values, sensitivity, specificity, 95% confidence interval(CI), and the area under the curve(AUC) for patient age, lesion size, lesion resistive index(RI), and white blood cell(WBC) count in BCA. Sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy, and AUC were calculated for different diagnostic methods.

RESULTS: There were statistically significant differences(P < 0.05) observed between GIM and IDC patients in terms of age, breast pain, the factors in Conventional US(lesion size, RI, nipple delineation, solitary/multiple lesions, margin, liquefaction area, growth direction, microcalcifications, posterior echogenicity and abnormal axillary lymph nodes), the factors in CEUS(contrast agent enhancement intensity, enhancement pattern, enhancement range, and crab-like enhancement) and the factors in BCA(white blood cells, neutrophils, lymphocytes and monocytes). ROC curve analysis results showed that the optimal cutoff values for distinguishing GLM from IDC were 40.5 years for age, 7.15 cm for lesion size, 0.655 for lesion RI, and 10.525*109/L for white blood cells. The diagnostic accuracy of conventional US combined with CEUS(US-CEUS) was the highest(97.45%). The diagnostic performance AUCs for US-CEUS, CEUS, and US were 0.965, 0.921 and 0.832, respectively.

CONCLUSION: Multifactorial analysis of multimodal ultrasound features and BCA had high clinical application value in the differential diagnosis of GLM and IDC.

PMID:38007642 | DOI:10.3233/CH-231999

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Nevin Manimala Statistics

A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability

Work. 2023 Nov 18. doi: 10.3233/WOR-230179. Online ahead of print.

ABSTRACT

BACKGROUND: Numerous systems for detecting driver drowsiness have been developed; however, these systems have not yet been widely used in real-time.

OBJECTIVE: The purpose of this study was to investigate at the feasibility of detecting alert and drowsy states in drivers using an integration of features from respiratory signals, vehicle lateral position, and reaction time and out-of-vehicle ways of data collection in order to improve the system’s performance and applicability in the real world.

METHODS: Data was collected from 25 healthy volunteers in a driving simulator-based study. Their respiratory activity was recorded using a wearable belt and their reaction time and vehicle lateral position were measured using tests developed on the driving simulator. To induce drowsiness, a monotonous driving environment was used. Different time domain features have been extracted from respiratory signals and combined with the reaction time and lateral position of the vehicle for modeling. The observer of rating drowsiness (ORD) scale was used to label the driver’s actual states. The t-tests and Man-Whitney test was used to select only statistically significant features (p < 0.05), that can differentiate between the alert and drowsy states effectively. Significant features then combined to investigate the improvement in performance using the Multilayer Perceptron (MLP), the Support Vector Machines (SVMs), the Decision Trees (DTs), and the Long Short Term Memory (LSTM) classifiers. The models were implemented in Python library 3.6.

RESULTS: The experimental results illustrate that the support vector machine classifier achieved accuracy of 88%, precision of 85%, recall of 83%, and F1 score of 84% using selected features.

CONCLUSION: These results indicate the possibility of very accurate detection of driver drowsiness and a viable solution for a practical driver drowsiness system based on combined measurement using less-intrusive and out-of-vehicle recording methods.

PMID:38007634 | DOI:10.3233/WOR-230179

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Nevin Manimala Statistics

Sexual Assault in Older-Age Adults: Criminal Justice Response in New Zealand

J Aging Soc Policy. 2023 Nov 26:1-16. doi: 10.1080/08959420.2023.2284575. Online ahead of print.

ABSTRACT

There is growing recognition that older persons, both male and female, may experience sexual assault. One clearly identified gap in the body of scientific literature is examination of the criminal justice response for older adults who have been sexually assaulted. This retrospective age-group comparative data analysis examines publicly available population and police statistics for 2018 to describe rates (per 100,000) of reported sexual assault across adult age categories (young adult, n = 748; adult, n = 1,478; middle age, n = 290; older adult, n = 58) and compare (using Chi-square bivariate analysis) the criminal justice response to sexual assault for these adult age categories in New Zealand (NZ). Sexual assault was perpetrated against victims across all age and sex groups examined. The rate of reported sexual assault against older adults was significantly lower after the age of 65 years (7.90 per 100,000) compared to younger adults aged 20-64 years (87.57 per 100,000). Across age categories no difference was found in the proportion of cases proceeded to court action. This study raises awareness of the topic of sexual assault perpetrated against older persons and shows that a substantial number of older adults experience sexual assault in cases that do not result in court action. It points to the need for policy-makers to consider the reporting of sexual assaults against older persons to justice services.

PMID:38007620 | DOI:10.1080/08959420.2023.2284575

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Nevin Manimala Statistics

Genetic diversity and historical demography of underutilised goat breeds in North-Western Europe

Sci Rep. 2023 Nov 25;13(1):20728. doi: 10.1038/s41598-023-48005-8.

ABSTRACT

In the last decade, several studies aimed at dissecting the genetic architecture of local small ruminant breeds to discover which variations are involved in the process of adaptation to environmental conditions, a topic that has acquired priority due to climate change. Considering that traditional breeds are a reservoir of such important genetic variation, improving the current knowledge about their genetic diversity and origin is the first step forward in designing sound conservation guidelines. The genetic composition of North-Western European archetypical goat breeds is still poorly exploited. In this study we aimed to fill this gap investigating goat breeds across Ireland and Scandinavia, including also some other potential continental sources of introgression. The PCA and Admixture analyses suggest a well-defined cluster that includes Norwegian and Swedish breeds, while the crossbred Danish landrace is far apart, and there appears to be a close relationship between the Irish and Saanen goats. In addition, both graph representation of historical relationships among populations and f4-ratio statistics suggest a certain degree of gene flow between the Norse and Atlantic landraces. Furthermore, we identify signs of ancient admixture events of Scandinavian origin in the Irish and in the Icelandic goats. The time when these migrations, and consequently the introgression, of Scandinavian-like alleles occurred, can be traced back to the Viking colonisation of these two isles during the Viking Age (793-1066 CE). The demographic analysis indicates a complicated history of these traditional breeds with signatures of bottleneck, inbreeding and crossbreeding with the improved breeds. Despite these recent demographic changes and the historical genetic background shaped by centuries of human-mediated gene flow, most of them maintained their genetic identity, becoming an irreplaceable genetic resource as well as a cultural heritage.

PMID:38007600 | DOI:10.1038/s41598-023-48005-8

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Nevin Manimala Statistics

The effects of bariatric surgery on cardiac function: a systematic review and meta-analysis

Int J Obes (Lond). 2023 Nov 25. doi: 10.1038/s41366-023-01412-3. Online ahead of print.

ABSTRACT

INTRODUCTION: Obesity is associated with alterations in cardiac structure and haemodynamics leading to cardiovascular mortality and morbidity. Culminating evidence suggests improvement of cardiac structure and function following bariatric surgery.

OBJECTIVE: To evaluate the effect of bariatric surgery on cardiac structure and function in patients before and after bariatric surgery.

METHODS: Systematic review and meta-analysis of studies reporting pre- and postoperative cardiac structure and function parameters on cardiac imaging in patients undergoing bariatric surgery.

RESULTS: Eighty studies of 3332 patients were included. Bariatric surgery is associated with a statistically significant improvement in cardiac geometry and function including a decrease of 12.2% (95% CI 0.096-0.149; p < 0.001) in left ventricular (LV) mass index, an increase of 0.155 (95% CI 0.106-0.205; p < 0.001) in E/A ratio, a decrease of 2.012 mm (95% CI 1.356-2.699; p < 0.001) in left atrial diameter, a decrease of 1.16 mm (95% CI 0.62-1.69; p < 0.001) in LV diastolic dimension, and an increase of 1.636% (95% CI 0.706-2.566; p < 0.001) in LV ejection fraction after surgery.

CONCLUSION: Bariatric surgery led to reverse remodelling and improvement in cardiac geometry and function driven by metabolic and haemodynamic factors.

PMID:38007595 | DOI:10.1038/s41366-023-01412-3

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Nevin Manimala Statistics

Impacts of COVID-19 pandemic through decomposition of life expectancy according to leading causes and place of death in Czechia

Sci Rep. 2023 Nov 25;13(1):20731. doi: 10.1038/s41598-023-47949-1.

ABSTRACT

While the direct effects of the pandemic are well documented, less is known about the indirect ones, including changes in healthcare provision or human behavior. This paper aims to study the impact of indirect consequences on mortality, focusing on two leading causes (cardiovascular diseases, COVID-19) and places of death in Czechia, during the COVID-19 pandemic, one of the most severely affected European countries. The analysis was performed using data from the Czech Statistical Office and the Institute of Health Information and Statistics. The study compares annual mortality changes during three time periods: pre-pandemic (2018-2019), pandemic beginning and peaking (2020-2021), and pandemic fading (2022). Pandemic years were covered by the WHO public health emergency of international concern. Abridged life tables were computed, and Pollard’s decomposition was used to calculate the contributions of causes and places of death on annual differences in life expectancy. Seasonal decomposition of monthly time series revealed an increase in cardiovascular mortality at home or in social care facilities corresponding to limitations in healthcare. While COVID-19 had a systemic negative effect on life expectancy during the pandemic, the impact of cardiovascular mortality according to place of death changed over time. This study contributes to the evidence base of systemic risks during health crises and emergency response.

PMID:38007583 | DOI:10.1038/s41598-023-47949-1

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Nevin Manimala Statistics

Response of a three-species cyclic ecosystem to a short-lived elevation of death rate

Sci Rep. 2023 Nov 25;13(1):20740. doi: 10.1038/s41598-023-48104-6.

ABSTRACT

A balanced ecosystem with coexisting constituent species is often perturbed by different natural events that persist only for a finite duration of time. What becomes important is whether, in the aftermath, the ecosystem recovers its balance or not. Here we study the fate of an ecosystem by monitoring the dynamics of a particular species that encounters a sudden increase in death rate. For exploration of the fate of the species, we use Monte-Carlo simulation on a three-species cyclic rock-paper-scissor model. The density of the affected (by perturbation) species is found to drop exponentially immediately after the pulse is applied. In spite of showing this exponential decay as a short-time behavior, there exists a region in parameter space where this species surprisingly remains as a single survivor, wiping out the other two which had not been directly affected by the perturbation. Numerical simulations using stochastic differential equations of the species give consistency to our results.

PMID:38007582 | DOI:10.1038/s41598-023-48104-6