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Nevin Manimala Statistics

Frailty prevalence and efficient screening in primary care-based memory clinics

Fam Pract. 2023 Apr 1:cmad035. doi: 10.1093/fampra/cmad035. Online ahead of print.

ABSTRACT

BACKGROUND: Little is known about the prevalence of frailty among patients with memory concerns attending a primary care-based memory clinic.

OBJECTIVE: This study aims to describe the prevalence of frailty among patients attending a primary care-based memory clinic and to determine if prevalence rates differ based on the screening tool that is used.

METHODS: We conducted a retrospective medical record review for all consecutive patients assessed in a primary care-based memory clinic over 8 months. Frailty was measured in 258 patients using the Fried frailty criteria, which relies on physical measures, and the Clinical Frailty Scale (CFS), which relies on functional status. Weighted kappa statistics were calculated to compare the Fried frailty and the CFS.

RESULTS: The prevalence of frailty was 16% by Fried criteria and 48% by the CFS. Agreement between Fried frailty and CFS was fair for CFS 5+ (kappa = 0.22; 95% confidence interval: 0.13, 0.32) and moderate for CFS 6+ (kappa = 0.47; 0.34, 0.61). Dual-trait measures of hand grip strength with gait speed were found to be a valid proxy for Fried frailty phenotype.

CONCLUSIONS: Among primary care patients with memory concerns, frailty prevalence rates differed based on the measure used. Screening for frailty in this population using measures relying on physical performance may be a more efficient approach for persons already at risk of further health instability from cognitive impairment. Our findings demonstrate how measure selection should be based on the objectives and context in which frailty screening occurs.

PMID:37002941 | DOI:10.1093/fampra/cmad035

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Nevin Manimala Statistics

Effect of manipulating the vergence/accommodation and image size mismatches of the ±2D flipper test on the frequency and precision of accommodative facility

Ophthalmic Physiol Opt. 2023 Apr 1. doi: 10.1111/opo.13136. Online ahead of print.

ABSTRACT

PURPOSE: The ±2.00 D accommodative facility test presents several limitations, including the lack of objective information and inherent characteristics such as vergence/accommodative conflict, change in apparent size of the image, subjective criteria for judging blur and motor reaction time. By using free-space viewing conditions and an open-field autorefractor to monitor the refractive state, we examined the impact of manipulating these factors on the qualitative and quantitative assessment of accommodative facility.

METHODS: Twenty-five healthy young adults (24.5 ± 4.5 years) took part in this study. Participants performed three accommodative facility tests (adapted flipper, 4D free-space viewing and 2.5D free-space viewing) under both monocular and binocular conditions in random order. A binocular open-field autorefractor was used to assess the accommodative response continuously, and these data were used to characterise accommodative facility quantitatively and qualitatively.

RESULTS: There were statistically significant differences between the three testing methods both quantitatively (p < 0.001) and qualitatively (p = 0.02). For the same accommodative demand, a lower number of cycles was obtained for the adapted flipper condition in comparison with the 4D free-space viewing test (corrected p-value < 0.001, Cohen’s d = 0.78). However, this comparison did not reach statistical significance for qualitative measures of accommodative facility (corrected p-value = 0.82, Cohen’s d 0.05).

CONCLUSIONS: These data provide evidence that the qualitative assessment of accommodative facility is not influenced by the inherent limitations of the ±2.00 D flipper test. The use of qualitative outcomes by incorporating an open-field autorefractor allows examiners to increase the validity of the accommodative facility test in both clinical and research settings.

PMID:37002939 | DOI:10.1111/opo.13136

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Nevin Manimala Statistics

Evaluating ropeginterferon alfa-2b for the treatment of adults with polycythemia vera

Expert Rev Hematol. 2023 Apr 1. doi: 10.1080/17474086.2023.2199151. Online ahead of print.

ABSTRACT

INTRODUCTION: Interferons (IFNs) have been used for decades to treat polycythemia vera (PV). Single-arm clinical trials assessing IFN in PV patients demonstrated high hematological and molecular response rates, indicating potential disease-modifying activity of IFN. However, discontinuation rates of IFNs have been rather high due to frequent treatment-related side-effects.

AREAS COVERED: Ropeginterferon alfa-2b (ROPEG) is a monopegylated IFN consisting of a single isoform, which differentiates it from previous IFNs with respect to tolerability and dosing frequency. ROPEG has improved pharmacokinetic and pharmacodynamic properties, which allow extended dosing every two weeks and monthly administration during maintenance phase. This review covers ROPEG’s pharmacokinetic and pharmacodynamic properties, presents results of randomized clinical trials (RCT) that evaluated ROPEG in the treatment of PV patients, and discusses contemporary findings regarding the potential disease-modifying activity of ROPEG.

EXPERT OPINION: RCT have demonstrated high rates of hematological and molecular responses in PV patients treated with ROPEG, irrespective of thrombotic risk. Drug discontinuation rates were generally low. However, even though RCT captured the most important surrogate endpoints of thrombotic risk and disease progression in PV, they were not statistically powered to fully determine whether therapeutic intervention with ROPEG indeed has a direct positive effect on these important clinical outcomes.

PMID:37002907 | DOI:10.1080/17474086.2023.2199151

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Nevin Manimala Statistics

Investigating the Effect of Brain Size on Deformation Magnitude using Subject-Specific Finite Element Models

J Neurotrauma. 2023 Apr 1. doi: 10.1089/neu.2022.0339. Online ahead of print.

ABSTRACT

In the last decade, computational models of the brain have become the gold standard tool for investigating traumatic brain injury (TBI) mechanisms and developing novel protective equipment and other safety countermeasures. However, most studies utilizing finite element (FE) models of the brain have been conducted using models developed to represent the average neuroanatomy of a target demographic, such as the 50th percentile male. While this is an efficient strategy, it neglects normal anatomical variations present within the population and their contributions on the brain’s deformation response. As a result, the contributions of structural characteristics of the brain, such as brain volume, on brain deformation are not well understood. The objective of this study was to develop a set of statistical regression models relating measures of the size and shape of the brain to the resulting brain deformation. This was performed using a database of 125 subject-specific models, simulated under six independent head kinematic boundary conditions, spanning a range of impact modes (frontal, oblique, side), severity (non-injurious and injurious), and environments (volunteer, automotive, and American football). Two statistical regression techniques were utilized. Simple linear regression models were trained to relate intracranial volume (ICV) and the 95th percentile maximum principal strain (MPS-95) for each of the impact cases. Secondly, a partial least squares regression model was constructed to predict MPS-95 based on the affine transformation parameters from each subject, representing the size and shape of their brain, considering the six impact conditions collectively. Both techniques indicated a strong linear relationship between ICV and MPS-95, with MPS-95 varying by approximately 5% between the smallest and largest brains. This difference represented up to 40% of the mean strain across all subjects. This study represents a comprehensive assessment of the relationships between brain anatomy and deformation, which is crucial for the development of personalized protective equipment, identifying individuals at higher risk of injury, and using computational models to aid clinical diagnostics of TBI.

PMID:37002891 | DOI:10.1089/neu.2022.0339

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Nevin Manimala Statistics

Sarcopenia and cardiovascular diseases: A systematic review and meta-analysis

J Cachexia Sarcopenia Muscle. 2023 Apr 1. doi: 10.1002/jcsm.13221. Online ahead of print.

ABSTRACT

Sarcopenia is an age-related disease and is often accompanied by other diseases. Now, many studies have shown that cardiovascular diseases (CVDs) may raise the incidence rate of sarcopenia. Therefore, the purpose of this study was to conduct a systematic review and meta-analysis to investigate the prevalence of sarcopenia in patients with CVDs compared with the general population, defined as relatively healthy non-hospitalized subjects. The databases of PubMed, Embase, Medline and Web of Science were searched for eligible studies published up to 12 November 2022. Two assessment tools were used to evaluate study quality and the risk of bias. Statistical analysis was conducted using STATA 14.0 and R Version 4.1.2. Thirty-eight out of the 89 629 articles retrieved were included in our review. The prevalence of sarcopenia ranged from 10.1% to 68.9% in patients with CVDs, and the pooled prevalence was 35% (95% confidence interval [95% CI]: 28-42%). The pooled prevalence of sarcopenia was 32% (95% CI: 23-41%) in patients with chronic heart failure (CHF), 61% (95% CI: 49-72%) in patients with acute decompensated heart failure (ADHF), 43% (95% CI: 2-85%) in patients with coronary artery disease, 30% (95% CI: 25-35%) in patients with cardiac arrhythmia (CA), 35% (95% CI: 10-59%) in patients with congenital heart disease and 12% (95% CI: 7-17%) in patients with unclassed CVDs. However, in the general population, the prevalence of sarcopenia varied from 2.9% to 28.6% and the pooled prevalence was 13% (95% CI: 9-17%), suggesting that the prevalence of sarcopenia in patients with CVDs was about twice compared with the general population. The prevalence of sarcopenia was significantly higher only in patients with ADHF, CHF and CA compared with the general population. There is a positive correlation between CVDs and sarcopenia. The prevalence of sarcopenia is higher in patients with CVDs than that in the general population. With global aging, sarcopenia has brought a heavy burden to individuals and society. Therefore, it is important to identify the populations with high-risk or probable sarcopenia in order to do an early intervention, such as exercise, to counteract or slow down the progress of sarcopenia.

PMID:37002802 | DOI:10.1002/jcsm.13221

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Nevin Manimala Statistics

Elevated serum IgE levels are not associated with poor treatment outcome in psoriasis vulgaris

J Dermatol. 2023 Apr 1. doi: 10.1111/1346-8138.16795. Online ahead of print.

ABSTRACT

Psoriasis is a chronic inflammatory disorder which is associated with impaired skin barrier function. In this context, it was shown that serum IgE level was elevated in significant proportion of psoriasis patients. However, whether serum IgE levels are associated with treatment outcomes of psoriasis has not been understood. We retrospectively analyzed psoriasis patients who visited our clinics through electromedical records. Patients with history of atopic dermatitis were excluded. Total of 483 patients clinically or pathologically diagnosed with psoriasis vulgaris were included for analyses. Initial mean serum IgE level was 226 ± 490.3 KU/L and patients with IgE higher than upper limit normal value were 42.0% (n = 203). Psoriasis Area and Severity Index (PASI) 75 achievement rate according to IgE elevation was analyzed and no statistically meaningful difference was shown. In addition, logistic regression analysis to find out relationship between PASI 75 achievement and IgE titer also failed to show statistically significant relationship. In conclusion, serum IgE level was elevated in significant proportion in the patients with psoriasis, but its elevated level was not associated with treatment outcome.

PMID:37002801 | DOI:10.1111/1346-8138.16795

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Nevin Manimala Statistics

Monitoring of SARS-CoV-2 RNA in wastewater: a surveillance tool for foresee infection’s evolution in the Mexican Caribbean

Water Environ Res. 2023 Apr 1:e10859. doi: 10.1002/wer.10859. Online ahead of print.

ABSTRACT

The study aims to determine SARS-CoV-2 RNA in sewage of Cancun wastewater treatment plants, the main touristic destination of Mexico, and to estimate the infected persons during the sampling period. SARS-CoV-2 RNA traces was detected in the inlet of the five plants during almost all the sampling months. However, there is no presence of SARS-CoV-2 RNA traces in the effluent of the five WWTPs during the study period. ANOVA analysis showed differences in the concentrations of RNA traces of SARS-CoV-2 between the sample dates, but no differences were found from one WWTP to another. Estimated infected individuals by Markov Chain Monte Carlo simulation are higher (between 77% and 91%) than the cases reported by the health authority. Wastewater monitoring and the estimation of infected individuals are a helpful tool, because estimation provides early warning signs on how broadly SARS-CoV-2 is circulating in the city, and led to the authorities to take measures wisely.

PMID:37002800 | DOI:10.1002/wer.10859

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Nevin Manimala Statistics

Classification of Alzheimer’s disease based on hippocampal multivariate morphometry statistics

CNS Neurosci Ther. 2023 Apr 1. doi: 10.1111/cns.14189. Online ahead of print.

ABSTRACT

BACKGROUND: Alzheimer’s disease (AD) is a neurodegenerative disease characterized by progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high risk of developing AD. Hippocampal morphometry analysis is believed to be the most robust magnetic resonance imaging (MRI) markers for AD and MCI. Multivariate morphometry statistics (MMS), a quantitative method of surface deformations analysis, is confirmed to have strong statistical power for evaluating hippocampus.

AIMS: We aimed to test whether surface deformation features in hippocampus can be employed for early classification of AD, MCI, and healthy controls (HC).

METHODS: We first explored the differences in hippocampus surface deformation among these three groups by using MMS analysis. Additionally, the hippocampal MMS features of selective patches and support vector machine (SVM) were used for the binary classification and triple classification.

RESULTS: By the results, we identified significant hippocampal deformation among the three groups, especially in hippocampal CA1. In addition, the binary classification of AD/HC, MCI/HC, AD/MCI showed good performances, and area under curve (AUC) of triple-classification model achieved 0.85. Finally, positive correlations were found between the hippocampus MMS features and cognitive performances.

CONCLUSIONS: The study revealed significant hippocampal deformation among AD, MCI, and HC. Additionally, we confirmed that hippocampal MMS can be used as a sensitive imaging biomarker for the early diagnosis of AD at the individual level.

PMID:37002795 | DOI:10.1111/cns.14189

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Nevin Manimala Statistics

Is STA really a low-flow graft? A quantitative ultrasonographic study of the flow of STA for cerebral revascularization in MMD patients

CNS Neurosci Ther. 2023 Apr 1. doi: 10.1111/cns.14197. Online ahead of print.

ABSTRACT

OBJECTIVE: Direct revascularization remains an important tool in the treatment of patients with Moyamoya disease (MMD). The superficial temporal artery (STA) is the most commonly used donor vessel for direct bypass, and an STA graft has traditionally been considered a low-flow graft for flow augmentation. This study aimed to quantitatively evaluate the blood flow of the STA after direct revascularization.

METHODS: All direct revascularization procedures performed between 2018 and 2021 by one experienced neurosurgeon were screened. Quantitative ultrasound was used to measure the flow data of the patient’s bilateral parietal branch of the STA(STA-PB), the bilateral frontal branch of the STA(STA-FB), and the left radial artery. Data on the patients’ basic information, Suzuki grade, Matsushima type, anastomosis type, and blood biochemical parameters were collected and analyzed using univariate and multivariate models. An MBC Scale scoring system was proposed to evaluate the recipient artery network of the middle cerebral artery (MCA) tree. The relationship between MBC Scale score and STA graft flow was statistically analyzed.

RESULTS: In total, 81 patients (43 males and 38 females) successfully underwent STA-MCA bypass and were included in this study. The mean flow rates in the STA-PB graft on 1 day preoperatively, 1 day postoperatively, 7 days postoperatively, and >6 months postoperatively (long-term) were 10.81, 116.74, 118.44, and 56.20 mL/min respectively. Intraoperative graft patency was confirmed in all patients. Comparing the preoperative and all postoperative time points, the STA-PB flow rates were statistically significant (p < 0.001). The MCA-C score was significantly associated with postoperative flow rate on day 1 (p = 0.007).

CONCLUSION: The STA is a useful donor artery for direct revascularization inpatients with MMD and can provide sufficient blood supply to the ischemic cerebral territory.

PMID:37002791 | DOI:10.1111/cns.14197

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Nevin Manimala Statistics

Prevalence and Predictors of Depression, Anxiety and Stress among Elderly during COVID-19: A Cross-sectional Study from Central India

Mymensingh Med J. 2023 Apr;32(2):556-566.

ABSTRACT

During the COVID-19 pandemic, elderly people have been more prone to depression, anxiety and stress. During these trying times, they require more attention and support for their mental health. This cross-sectional study was performed with the duration of 06 months from March 2021 to August 2021 in AIIMS, Bhopal in the state of Madhya Pradesh, in central India. And the participants recruited by systematic random sampling from a population aged more than 60 years, those who were able to read and write Hindi or English and having at least one family member; who reported to AIIMS, Bhopal during the second wave of COVID-19 in India. Those who were confirmed COVID-19 cases and undergoing treatment for the same, with diagnosed mental health disorders and who didn’t give consent were excluded. A Google form based online semi-structured questionnaire along with DASS-21 scale was completed by participants. Elderly (>=60 years) will be selected. Of the 690 participants 7.25% reported mild to moderate depression, whereas 0.58 percent had severe or extremely severe depression. Mild to moderate anxiety were found in 9.56% of people, while 2.46% had severe or extremely severe anxiety. Mildly or moderately were stressed 4.78%, while 0.42% was severely or extremely anxious. Alcoholism and depression were found to have a statistically significant relationship (p=0.028). During the COVID-19 pandemic, elderly subjects who napped during the day were substantially less depressed (p=0.033). The older the respondents were, the more nervous they were during the pandemic (p=0.042). There is a link between alcohol consumption and stress (p=0.043) and it was seen that females were more stressed as compared to males (p=0.045). There was a strong correlation between participants’ alcohol addiction and depressive symptoms. Psychological therapies for the elderly are thought to be necessary to enhance their psychological resilience and mental health. We need to tackle the stigma related to the COVID-19 and mental health issues.

PMID:37002771