Category: Statistics

PLoS One. 2022 Jan 26;17(1):e0262749. doi: 10.1371/journal.pone.0262749. eCollection 2022.

ABSTRACT

Falls are a major issue for bipeds. For elderly adults, falls can have a negative impact on their quality of life and lead to increased medical costs. Fortunately, interventional methods are effective at reducing falls assuming they are prescribed. For biped robots, falls prevent them from completing required tasks. Thus, it is important to understand what aspects of gait increase fall risk. Gait variability may be associated with increased fall risk; however, previous studies have not investigated the variation in the movement of the legs. The purpose of this study was to determine the effect of joint angle variability on falling to determine which component(s) of variability were statistically significant. In order to investigate joint angle variability, a physics-based simulation model that captured joint angle variability as a function of time through Fourier series was used. This allowed the magnitude, the frequency mean, and the frequency standard deviation of the variability to be altered. For the values tested, results indicated that the magnitude of the variability had the most significant impact on falling, and specifically that the stance knee flexion variability magnitude was the most significant factor. This suggests that increasing the joint variability magnitude may increase fall risk, particularly if the controller is not able to actively compensate. Altering the variability frequency had little to no effect on falling.

PMID:35081142 | DOI:10.1371/journal.pone.0262749

PLoS One. 2022 Jan 26;17(1):e0262055. doi: 10.1371/journal.pone.0262055. eCollection 2022.

ABSTRACT

Many methodologies are used to predict the genetic merit in animals and plants, but some of them require priori assumptions that may increase the complexity of the model. Artificial neural network (ANN) has advantage to not require priori assumptions about the relationships between inputs and the output allowing great flexibility to handle different types of complex non-additive effects, such as dominance and epistasis. Despite this advantage, the biological interpretability of ANNs is still limited. The aim of this research was to estimate the heritability and markers effects for two traits in Coffea canephora using an additive-dominance architecture ANN and to compare it with genomic best linear unbiased prediction (GBLUP). The data used consists of 51 clones of C. canephora varietal Conilon, 32 of varietal group Robusta and 82 intervarietal hybrids. From this, 165 phenotyped individuals were genotyped for 14,387 SNPs. Due to the high computational cost of ANNs, we used Bagging decision tree to reduce the dimensionality of the data, selecting the markers that accumulated 70% of the total importance. An ANN with three hidden layers was run, each varying from 1 to 40 neurons summing 64,000 neural networks. The network architectures with the best predictive ability were selected. The best architectures were composed by 4, 15, and 33 neurons in the first, second and third hidden layers, respectively, for yield, and by 13, 20, and 24 neurons, respectively for rust resistance. The predictive ability was greater when using ANN with three hidden layers than using one hidden layer and GBLUP, with 0.72 and 0.88 for yield and coffee leaf rust resistance, respectively. The concordance rate (CR) of the 10% larger markers effects among the methods varied between 10% and 13.8%, for additive effects and between 5.4% and 11.9% for dominance effects. The narrow-sense ([Formula: see text]) and dominance-only ([Formula: see text]) heritability estimates were 0.25 and 0.06, respectively, for yield, and 0.67 and 0.03, respectively for rust resistance. The ANN was able to estimate the heritabilities from an additive-dominance genomic architectures and the ANN with three hidden layers obtained best predictive ability when compared with those obtained from GBLUP and ANN with one hidden layer.

PMID:35081139 | DOI:10.1371/journal.pone.0262055

Se Pu. 2022 Feb 8;40(2):123-129. doi: 10.3724/SP.J.1123.2021.04016.

ABSTRACT

Osteonecrosis of the femoral head (ONFH) can lead to its collapse which requires total hip arthroplasty. Exosomes, which are important for intercellular communication are involved in a series of physiological and pathological processes, and therefore play a unique role in disease diagnosis and treatment. In this study, untargeted metabolomics was used to investigate the metabolic characteristics of lipids in exosomes of femoral head tissue with osteonecrosis and to explain the metabolic changes that occur in the body during this disease. Ultracentrifugation was used to separate and enrich exosomes from femoral head tissue with osteonecrosis. Exosomes were identified using dynamic light scattering (DLS), Western blotting, and transmission electron microscopy (TEM). Gradient elution was performed with ultrapure water and acetonitrile as mobile phases using a Kinetex XB-C18 column (100 mm×2.1 mm, 2.6 μm). The column oven temperature, flow rate of the mobile phase, and duration were 30 ℃, 300 μL/min, and 15 min, respectively. A triple TOF 4600 high resolution mass spectrometry system was used, and the mass scan range of m/z was set at 100 -1000. Other conditions were as follows: sheath gas, 380 kPa; auxiliary gas, 380 kPa; curtain gas, 170 kPa; and atomization temperature, 600 ℃. Ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) combined with multivariate statistical analysis was used to identify the lipid metabolic profile of ONFH-derived exosomes. The exosome metabolites were characterized in detail, which enables their identification and provided a reliable method for quality evaluation. After transforming the obtained original data using MarkView software, peak identification, peak alignment, subtraction of solvent peak, impurity peak, noise filtering, and other treatments, a three-dimensional matrix was obtained from the exported data table. Principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA) in the SIMCA-P14.1 software were used for multivariate statistical analysis of differentially expressed exosome lipid metabolites. This strategy was validated using lipid metabolites from patients with ONFH and healthy controls. The correlation distribution was shown according to the point dispersion of the PCA score plot, and lipid metabolites from the same disease showed ideal clustering. This result indicates a small difference between the groups. A good clustering effect is also obtained using OPLS-DA, and the statistical model has high reliability. A total of 18 significantly altered lipid metabolites were detected in the exosomes, including acrylolipids, fatty acid esters, glycerides, and their derivatives. The pathway analysis was conducted with MetaboAnalyst (https://www.metaboanalyst.ca/) via database source including the HMDB (http://www.hmdb.ca/) and MMCD (http://mmcd.nmrfam.wisc.edu/) for confirming the impacted metabolic pathways and visualization. Metabolic pathway analysis showed that glycerophospholipid and sphingolipid metabolism were the most significantly altered in exosomes. An imbalance between sphingolipids and glycerophospholipids leads to lipotoxic damage, which is implicated in the pathophysiology of common metabolic diseases. Furthermore, glycerophospholipids are correlated with cell proliferation, differentiation, and apoptosis, and the change in glycerophospholipid ratio can reflect the disturbance in lipid metabolism. The metabolic changes in exosomes may reflect the metabolic changes in ONFH. In this study, lipid metabolomics analysis based on UPLC-MS/MS was used to determine metabolic differences between exosomes extracted from ONFN and femoral neck fracture (FNF). Metabolomic analysis of necrotic femoral head tissue-derived exosomes can help explore the most relevant pathways for assessing the changes in exosome metabolism that affect exosome metabolism in necrotic bone tissue.

PMID:35080158 | DOI:10.3724/SP.J.1123.2021.04016

J Cosmet Dermatol. 2022 Jan 26. doi: 10.1111/jocd.14797. Online ahead of print.

ABSTRACT

BACKGROUND: Integrated information on the global prevalence and incidence of bullous pemphigoid (BP) is lacking.

OBJECTIVE: To estimate the incidence and prevalence of BP in a systematic review and meta-analysis.

METHODS: Observational studies were included by using databases of Medline, EMBASE and Cochrane Library. Subgroup analysis was by continent, age, sex and country income level. Random-effects model was used. Between-study heterogeneity was assessed using the I² statistic.

RESULTS: The global incidence was 0.0419 per 1000 person-years (95% CI: 0.0414-0.0424). The incidence was 0.047 per 1000 person-years (95% CI: 0.0462-0.0477), 0.0419 per 1000 person-years (95% CI: 0.0411-0.0426), 0.0072 per 1000 person-years (95% CI: 0.0067-0.0078), 0.003 per 1000 person-years (95% CI: 0.0023-0.0039) in North America, Europe, Asia and Africa, respectively; 0.0202 per 1000 person-years (95% CI: 0.0196; 0.0208) and 0.0181 per 1000 person-years (95% CI: 0.0175; 0.0188) females and males; 0.001 per 1000 person-years (95% CI: 0.001-0.001), 0.002 per 1000 person-years (95% CI:0.001-0.002), 0.004 per 1000 person-years (95% CI: 0.004-0.004); 0.007 per 1000 person-years (95% CI: 0.007-0.008), 0.011 per 1000 person-years (95% CI: 0.011-0.012), 0.017 per 1000 person-years (95% CI: 0.015-0.018) for age < 50, 50-59, 60-69, 70-79, 80-89 and ≥90 years. 0.0038 per 1000 person-years (95% CI:0.0036-0.004112) (I2 = 99%, p<.05) and 0.0456 per 1000 person-years (95% CI:0.0450-0.0462) (I2 = 100%, p<.05). The pooled clinic-based prevalence was 0.79 % (95% CI: 0.75%-0.84%), and 1.13% (95% CI: 1.06%-1.21%), 0.21% (95% CI: 0.17%-0.26%), 0.13% (95% CI:0.1%-0.15%) for Asia, Africa and Europe.

CONCLUSIONS: This study identified the global incidence and prevalence of BP in terms of spatial and population distributions and among various income level. A relatively higher incidence was in Europe, females, older people and high-income level country. The prevalence was higher in Asia. These findings should be interpreted with caution due to high heterogeneity of included studies.

PMID:35080093 | DOI:10.1111/jocd.14797

Vet Med Sci. 2022 Jan 26. doi: 10.1002/vms3.740. Online ahead of print.

ABSTRACT

BACKGROUND: A cross-sectional survey study was conducted from September 2020 to April 2021. A total of 217 households were randomly selected. The data collection instruments were structured questionnaires: focus group discussion and key informant interviews. Data were coded, entered and analyzed using Statistical Package for the Social Sciences (SPSS) version 20 software. Ranking indexes as well as binary logistic regression analysis were used to look for the relationship between dependent and independent variables.

RESULT: The present study showed that season of calving, disease and parasite challenges, housing conditions and shortage of land for forage production with an index value of 0.180, 0.154, 0.153 and 0.126, respectively, were the most important constraints affecting milk production potential. Likewise, foot and mouth disease [adjusted odds ratio (AOR) = 0.001, 95% confidence interval (CI) = (0.000-0.016)], internal parasites [AOR = 0.003, 95% CI = (0.000-0.046)], shortage of grazing land [AOR = 0.017, 95% CI = (0.002-0.148)], summer season of calving [AOR = 0.012, 95% CI = (0.002-0.088)], overall cattle herd composition [AOR = 0.002, 95% CI = (0.000-0.025)], straw shed [AOR = 0.046, 95% CI = (0.006-0.327)] and open yard [AOR = 0.003, 95% CI = (0.000-0.183)] housing conditions were significantly associated with milk production status at p < 0.001 and p < 0.05.

CONCLUSION: The current study indicated that milk production status was poor. Therefore, suitable government policy support and provision of subsidies, genuine participation of dairy producers with governmental and non-governmental organizations are imperative to improve livestock productivity. Furthermore, future research and development actions should find solutions to decrease the bottlenecks so that the massive potentials of the area could be exploited to its maximum and could advance the livelihood of the community.

PMID:35080133 | DOI:10.1002/vms3.740

Hepatol Res. 2022 Jan 25. doi: 10.1111/hepr.13748. Online ahead of print.

ABSTRACT

AIM: The present study focused on the association of early bevacizumab (Bev) interruption with the clinical outcome of atezolizumab plus bevacizumab (Atez/Bev).

METHODS: This retrospective study included 239 advanced hepatocellular carcinoma (HCC) patients receiving Atez/Bev from September 2020 and June 2021 at 16 different institutions in Japan. We conducted a nine-week landmark analysis to investigate the association of Bev interruption due to adverse events with the therapeutic efficacy.

RESULTS: The median age was 73.0 (68.0-80.0) years old, with 195 (81.6%) men. The objective response rate was significantly higher in patients without Bev interruption than in those with it (34.5% vs. 17.3%, p=0.038). The median progression-free survival (PFS) was 6.5 months (95% confidence interval [CI] 4.5-9.7) and 9.0 months (95% CI 7.1-not applicable) in patients with and without Bev interruption, respectively, with statistical significance (p=0.021). The 12-month overall survival (OS) rates in patients with and without Be% CI 27.7%-67.9%) and 82.2% (95% CI 70.3%-89.6%), respectively, showing a significant difference (p=0.004). The presence of Bev interruption was a significant factor associated with the PFS (p=0.021), and OS (p=0.008). A multivariate analysis showed that mALBI 2b (p<0.001) and later-line treatment (p=0.018) were unfavorable factors associated with Bev interruption. Liver injury, appetite loss, protein urea, and ascites or hepatic edema were more frequently found in patients with Bev interruption than in those without it.

CONCLUSIONS: Early Bev interruption was an unfavorable factor associated with the PFS and OS. The good liver function and treatment settings may be associated with maintaining Bev treatment. This article is protected by copyright. All rights reserved.

PMID:35080087 | DOI:10.1111/hepr.13748

Eur J Neurosci. 2022 Jan 25. doi: 10.1111/ejn.15608. Online ahead of print.

ABSTRACT

Amyotrophic lateral sclerosis (ALS) is a lethal and incurable neurodegenerative disease due to the loss of upper and lower motor neurons, which leads to muscle weakness, atrophy, and paralysis. Sigma-1 receptor (σ-1R) is a ligand-operated protein that exhibits pro-survival and anti-apoptotic properties. In addition, mutations in its codifying gene are linked to development of juvenile ALS pointing to an important role in ALS. Here, we investigated the disease-modifying effects of pridopidine, a σ-1R agonist, using a delayed onset SOD1 G93A mouse model of ALS. Mice were administered a continuous release of pridopidine (3.0 mg/kg/day) for four weeks starting before the appearance of any sign of muscle weakness. Mice were monitored weekly and several behavioral tests were used to evaluate muscle strength, motor coordination and gait patterns. Pridopidine-treated SOD1 G93A mice showed genotype-specific effects with the prevention of cachexia. In addition, these effects exhibited significant improvement of motor behavior five weeks after treatment ended. However, the survival of the animals was not extended. In summary, these results show that pridopidine can modify the disease phenotype of ALS-associated cachexia and motor deficits in a SOD1 G93A mouse model.

PMID:35080077 | DOI:10.1111/ejn.15608

Stat Med. 2022 Jan 25. doi: 10.1002/sim.9321. Online ahead of print.

ABSTRACT

In trials of oral HIV pre-exposure prophylaxis (PrEP), multiple approaches have been used to measure adherence, including self-report, pill counts, electronic dose monitoring devices, and biological measures such as drug levels in plasma, peripheral blood mononuclear cells, hair, and/or dried blood spots. No one of these measures is ideal and each has strengths and weaknesses. However, accurate estimates of adherence to oral PrEP are important as drug efficacy is closely tied to adherence, and secondary analyses of trial data within identified adherent/non-adherent subgroups may yield important insights into real-world drug effectiveness. We develop a statistical approach to combining multiple measures of adherence and show in simulated data that the proposed method provides a more accurate measure of true adherence than self-report. We then apply the method to estimate adherence in the ADAPT study (HPTN 067) in South African women.

PMID:35080038 | DOI:10.1002/sim.9321

J Gastroenterol Hepatol. 2022 Jan 26. doi: 10.1111/jgh.15786. Online ahead of print.

ABSTRACT

BACKGROUND: Virtual reality (VR) is an established and effective tool in reducing autonomic and somatic pain. We aimed to examine the analgesic effects of VR distraction during esophagogastroduodenoscopy (EGD).

METHODS: We conducted a randomized controlled trial and enrolled patients who had indication for unsedated EGD with topical anesthesia. Patients were randomly assigned to use Oculus GO with three-dimensional specific software content (Standalone VR headset), sham VR or without VR during EGD. The primary outcome was patient pain scores during EGD.

RESULTS: A total of 96 patients undergoing diagnostic EGD were randomized to receive VR (n=32), sham VR (n=32) and no VR defined as the control group (n=32). Patients in all groups reported no statistically different pain during esophageal intubation. The mean pain score was 2.7±2.4 in the VR group, 2.7±2.5 in the sham VR and 2.3±2.3 in the control group, (p-value=0.751). No significant difference was observed in heart rate and blood pressure, and the endoscopists reported higher overall satisfaction scores in VR (4.3 ± 0.5) compared with the control group (4 ± 0.8) but without significance (p-value = 0.156).

CONCLUSION: VR assisted anesthesia during EGD did not significantly reduce patient pain during esophageal intubation. There was no superiority in using VR distraction regarding patient’s and endoscopist’s satisfaction compared to standard EGD without VR Further studies are required to detect any true clinical advantage of VR distraction during EGD.

PMID:35080055 | DOI:10.1111/jgh.15786

Res Nurs Health. 2022 Jan 25. doi: 10.1002/nur.22208. Online ahead of print.

ABSTRACT

In reports of randomized controlled trials, thorough description of the attention control condition has been recommended, yet is frequently lacking. The Tele-Savvy Caregiver program for informal caregivers of persons living with dementia was tested in a randomized controlled trial with an attention control condition. The purpose of this trial was to test Tele-Savvy’s efficacy in reducing the negative effects of caregiving on caregivers, promoting quality of life for persons living with dementia, and improving caregiver mastery. We describe the design and implementation of and examine the outcomes associated with the attention control condition. Caregivers were randomized to the immediate Tele-Savvy (active condition), Healthy Living (attention control), or waitlist. The attention control content was focused on healthy lifestyle and was not intended to affect the outcomes that Tele-Savvy targeted. The attention control group was similar to Tele-Savvy in the intervention structure and duration: it consisted of seven weekly group videoconferences and 36 video lessons. Data on outcomes of caregivers and persons living with dementia were collected at baseline and 3 and 6 months postbaseline. Multilevel mixed effects models were used to determine changes in the outcomes. One hundred and eleven caregivers were randomized to the attention control condition (attrition 21.6%). Eighteen formative assessment interviews focusing on caregivers’ experience in the attention control condition were conducted. The attention control condition completers had no statistically significant changes in the variables that Tele-Savvy targeted. These results may be used in the design and implementation of attention control conditions in behavioral intervention research.

PMID:35080016 | DOI:10.1002/nur.22208