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Nevin Manimala Statistics

Are inflammatory parameters an independent predictor of hip osteoarthritis severity? A prospective cross-sectional study

Rev Assoc Med Bras (1992). 2022 Nov 21;68(10):1423-1427. doi: 10.1590/1806-9282.20220445. eCollection 2022.

ABSTRACT

OBJECTIVE: This study aimed to investigate the relationship between the presence of hip osteoarthritis and the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, and neutrophil-monocyte ratio.

METHODS: Participants with hip osteoarthritis and healthy controls aged 45-75 years were recruited in the study. The participants with hip osteoarthritis were divided into two groups: mild/moderate hip osteoarthritis and severe hip osteoarthritis. Complete blood parameters of the participants were recorded, and neutrophil-lymphocyte ratio, neutrophil-monocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio were calculated. Pain severity was evaluated using a visual analog scale.

RESULTS: A total of 76 participants with hip osteoarthritis and 59 healthy controls were included in the study. The mean age of the participants was 57.6±6.11 years. Mean neutrophil-lymphocyte ratio and neutrophil-monocyte ratio values were statistically significantly different between the hip osteoarthritis group and healthy control group (p<0.05). Platelet-lymphocyte ratio, monocyte-lymphocyte ratio, erythrocyte sedimentation rate, and C-reactive protein values were not significantly different between the groups. Also, there was no difference between all inflammatory parameters and hip osteoarthritis severity (p>0.05).

CONCLUSIONS: Neutrophil-lymphocyte ratio and neutrophil-monocyte ratio values were higher in patients with hip osteoarthritis than in healthy controls. Mean platelet-lymphocyte ratio, monocyte-lymphocyte ratio, erythrocyte sedimentation rate, and C-reactive protein values did not change according to the presence of hip osteoarthritis. Not all hematological indices give valuable information regarding the severity of hip osteoarthritis.

PMID:36417647 | DOI:10.1590/1806-9282.20220445

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Nevin Manimala Statistics

Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan

Braz J Biol. 2022 Nov 21;82:e266637. doi: 10.1590/1519-6984.266637. eCollection 2022.

ABSTRACT

Here, we investigated the relationship between Plant communities and the environment from the moist temperate vegetation of Lakoo mountainous forest District Swat. We sampled data from 162 sampling units (Quadrates) using 1x1m2 for herbs 5x5m2 and shrubs, while 10 x10m2 for trees, systematically considering six elevation gradients between the altitudinal from 1970m to 3095m. We performed statistical analysis like Canonical correspondence analysis (CCA) and TWINSPAN (two-way indicator species analysis) for ecological assessment and clustering of plant communities. To check upon the correlation of species (CR) with topographic and edaphic variables we used statistical software PC-ORD version 7. We recognized 264 species plants belonging to thirty families. We recorded key sampling measurements of density, frequency, and cover for all these species which are vital for community description. The results showed Shannon-Winner,s, and Simpson diversity values as 19.18 and 3.17 respectively. The importance value indexes (IVI) were used to identify the leading and rare species of plant in each community or cluster group. In total we recognized eleven different communities as: Berberis- Abies- Bergeni, Picea – Indigofera- Poa,Abies- Parrotiopsis- Poa, Quercus- Viburnum- Poa, Picea- Salix- Primula, Abies- Viburnum- Poa, Viburnum- Taxus- Poa, Pinus- Viburnum- Lithospermum, Abies-Berberis- carex, Pinus- Viburnum- Poa and Parrotiopsis- Picea- Poa through hierarchical cluster analysis (TWINSPAN). CCA analysis revealed that of all studied edaphic and topographic variables altitude, silt, calcium carbonate, and organic matter were the strongest factors determining plant community diversity and composition in each microclimate of the eleven communities. Visually the vegetation of the forest was dominated by small-sized trees followed by shrubs, and regenerates indicating the stage of secondary regeneration. We found severe human interference in disturbing the existing biodiversity, which requires immediate conservation to ensure sustainable management and utilization of natural resources of the Lalkoo moist temperate forest.

PMID:36417625 | DOI:10.1590/1519-6984.266637

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Nevin Manimala Statistics

Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models

An Acad Bras Cienc. 2022 Nov 21;94(suppl 3):e20200568. doi: 10.1590/0001-3765202220200568. eCollection 2022.

ABSTRACT

This paper provides general expressions for Bartlett and Bartlett-type correction factors for the likelihood ratio and gradient statistics to test the dispersion parameter vector in heteroscedastic symmetric nonlinear models. This class of regression models is potentially useful to model data containing outlying observations. Furthermore, we develop Monte Carlo simulations to compare size and power of the proposed corrected tests to the original likelihood ratio, score, gradient tests, corrected score test, and bootstrap tests. Our simulation results favor the score and gradient corrected tests as well as the bootstrap tests. We also present an empirical application.

PMID:36417597 | DOI:10.1590/0001-3765202220200568

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Nevin Manimala Statistics

Gaussian Process Koopman Mode Decomposition

Neural Comput. 2022 Nov 18:1-22. doi: 10.1162/neco_a_01555. Online ahead of print.

ABSTRACT

We propose a nonlinear probabilistic generative model of Koopman mode decomposition based on an unsupervised gaussian process. Existing data-driven methods for Koopman mode decomposition have focused on estimating the quantities specified by Koopman mode decomposition: eigenvalues, eigenfunctions, and modes. Our model enables the simultaneous estimation of these quantities and latent variables governed by an unknown dynamical system. Furthermore, we introduce an efficient strategy to estimate the parameters of our model by low-rank approximations of covariance matrices. Applying the proposed model to both synthetic data and a real-world epidemiological data set, we show that various analyses are available using the estimated parameters.

PMID:36417591 | DOI:10.1162/neco_a_01555

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Nevin Manimala Statistics

Evaluating Databases With Orthopaedic Surgery Residency Program Information

J Am Acad Orthop Surg. 2022 Nov 16. doi: 10.5435/JAAOS-D-22-00164. Online ahead of print.

ABSTRACT

INTRODUCTION: Orthopaedic surgery residency applicants submit more applications than ever before. While this issue is multifactorial, increased information and transparency regarding residency programs are important. This study aimed to evaluate the completeness and variability of the information that is currently available regarding orthopaedic residency programs on two publicly available databases, the Fellowship and Residency Electronic Interactive Database (FREIDA) and the newly created Orthopaedic Residency Information Network (ORIN).

METHODS: Orthopaedic surgery residency programs were identified and evaluated using FREIDA and ORIN on September 11, 2021. Information on the FRIEDA and ORIN databases were evaluated in the following categories: program overview, the residency application, and education information. Univariate statistical analysis was performed on the data.

RESULTS: Of the 194 programs that participated in the FREIDA database, over 48% failed to include basic program information including resident demographics and key application information including USMLE Step requirements. Of the 141 programs that participated in the ORIN database, most the programs did not report USMLE Step median and cutoff scores and clerkship grades. Depending on the database and type of information, factors including the program’s National Institutes of Health funding, reputation, size, and type were associated with the availability of information.

CONCLUSION: This study showed that while most orthopaedic surgery residency programs participate in FREIDA and ORIN, the information included was highly variable and incomplete for nearly all programs. Improving the completeness of information in these databases has the potential to allow students to make more informed application decisions.

PMID:36417565 | DOI:10.5435/JAAOS-D-22-00164

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Nevin Manimala Statistics

Global Full-Dimensional Potential Energy Surface for the Reaction 23Na87Rb + 23Na87Rb → 23Na2 + 87Rb2 and the Formation Rate and Lifetime of the 23Na287Rb2 Collision Complex

J Phys Chem A. 2022 Nov 23. doi: 10.1021/acs.jpca.2c06438. Online ahead of print.

ABSTRACT

A full-dimensional global potential energy surface (PES) for the reaction 23Na87Rb + 23Na87Rb → 23Na2 + 87Rb2 was constructed based on high-level ab initio calculations. The short-range part was expressed as a permutation invariant polynomial-neural network (PIP-NN) fit of 22 003 ab initio points calculated using a coupled cluster method with the one-electron basis 5s5p5d2f plus effective core potentials and core polarizability potentials, while the long-range part was represented in an asymptotically correct form based on multipole expansion. The formation rate of the 23Na287Rb2 complex calculated using a quantum statistical method is in good agreement with experiment, while the estimated 19.20 μs lifetime of the complex from Rice-Ramsperger-Kassel-Marcus (RRKM) theory is significantly shorter than the measured millisecond decay rate, signaling either the inadequacy of RRKM theory or a yet unresolved loss mechanism.

PMID:36417561 | DOI:10.1021/acs.jpca.2c06438

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Nevin Manimala Statistics

Trends in health expectancy at age 60 in Bangladesh from 1996 to 2016

PLoS One. 2022 Nov 23;17(11):e0278101. doi: 10.1371/journal.pone.0278101. eCollection 2022.

ABSTRACT

BACKGROUND: Life expectancy (LE) is increasing all over the world, and relying on LE alone is no longer sufficient to identify whether a country is having a healthier population. Examining the increase in LE in relation to health – health expectancy estimation – is advised to ascertain the increase (or decrease) in LE without disability over time. This study examines the trends in health expectancy at age 60 in Bangladesh from 1996 to 2016.

METHODS: Mortality information from United Nations and World Health Organization and morbidity information from Bangladesh Bureau of Statistics were combined using the Sullivan method.

RESULTS: With an overall declining trend over the study period and a big drop in disability rates during 2012-2013, the disability rates were observed 1.6-1.7% in 2016. The declining trend in disability may have two-fold implications: (1) among the 98.3% older adults (≥60 years) with no severe/extreme disability, those were in jobs could have continued their work if there was no mandatory retirement at age 59, and (2) the 1.7% (translates into 0.2 million in 2020) older adults with severe/extreme disability require care assistance with their daily activities. The observed gain in disability-free life expectancy, the decrease in life expectancy with disability and its proportion allude to the compression of morbidity and healthier older adults over time.

CONCLUSION: In 2020, Bangladesh had 13.2 million (i.e., 8% of the total population) older adults, which is increasing day by day. The policy makers and government are suggested to prioritize the issues of older adults, particularly disability, care needs, retirement age, and health in the light of the current study’s findings. Utilizing health expectancy research is suggested to understand the combined effect of disability and mortality for considering policy changes.

PMID:36417472 | DOI:10.1371/journal.pone.0278101

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Nevin Manimala Statistics

Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021

PLoS Comput Biol. 2022 Nov 23;18(11):e1010724. doi: 10.1371/journal.pcbi.1010724. Online ahead of print.

ABSTRACT

BACKGROUND: Following rapidly rising COVID-19 case numbers, England entered a national lockdown on 6 January 2021, with staged relaxations of restrictions from 8 March 2021 onwards.

AIM: We characterise how the lockdown and subsequent easing of restrictions affected trends in SARS-CoV-2 infection prevalence.

METHODS: On average, risk of infection is proportional to infection prevalence. The REal-time Assessment of Community Transmission-1 (REACT-1) study is a repeat cross-sectional study of over 98,000 people every round (rounds approximately monthly) that estimates infection prevalence in England. We used Bayesian P-splines to estimate prevalence and the time-varying reproduction number (Rt) nationally, regionally and by age group from round 8 (beginning 6 January 2021) to round 13 (ending 12 July 2021) of REACT-1. As a comparator, a separate segmented-exponential model was used to quantify the impact on Rt of each relaxation of restrictions.

RESULTS: Following an initial plateau of 1.54% until mid-January, infection prevalence decreased until 13 May when it reached a minimum of 0.09%, before increasing until the end of the study to 0.76%. Following the first easing of restrictions, which included schools reopening, the reproduction number Rt increased by 82% (55%, 108%), but then decreased by 61% (82%, 53%) at the second easing of restrictions, which was timed to match the Easter school holidays. Following further relaxations of restrictions, the observed Rt increased steadily, though the increase due to these restrictions being relaxed was offset by the effects of vaccination and also affected by the rapid rise of Delta. There was a high degree of synchrony in the temporal patterns of prevalence between regions and age groups.

CONCLUSION: High-resolution prevalence data fitted to P-splines allowed us to show that the lockdown was effective at reducing risk of infection with school holidays/closures playing a significant part.

PMID:36417468 | DOI:10.1371/journal.pcbi.1010724

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Nevin Manimala Statistics

“All of the things to everyone everywhere”: A mixed methods analysis of community perspectives on equitable access to monoclonal antibody treatment for COVID-19

PLoS One. 2022 Nov 23;17(11):e0274043. doi: 10.1371/journal.pone.0274043. eCollection 2022.

ABSTRACT

BACKGROUND: Neutralizing monoclonal antibody (mAb) treatment for COVID-19 prevents hospitalization and death but is underused, especially in racial/ethnic minority and rural populations. Reasons for underuse and inequity may include community member lack of awareness or healthcare access barriers, among others. This study assessed mAbs community awareness and opportunities for improving equitable mAb access.

METHODS: A concurrent mixed methods study including surveys and focus groups with adults with high-risk conditions or their proxy decision-makers. Surveys and focus group guides addressed diffusion of innovation theory factors. Descriptive statistics and Fisher’s exact method was used to report and compare survey findings by race and ethnicity. Rapid qualitative methods were used for focus group analysis.

RESULTS: Surveys from 515 individuals (460 English, 54 Spanish, 1 Amharic), and 8 focus groups (6 English, 2 Spanish) with 69 participants, completed June 2021 to January 2022. Most survey respondents (75%) had heard little or nothing about mAbs, but 95% would consider getting mAb treatment. Hispanic/Latino and Non-Hispanic People of Color (POC) reported less awareness, greater concern about intravenous infusions, and less trust in mAb safety and effectiveness than White, Non-Hispanic respondents. Focus group themes included little awareness but high interest in mAb treatment and concerns about cost and access barriers such as lacking established sources of care and travel from rural communities. Focus groups revealed preferences for broad-reaching but tailored messaging strategies using multiple media and trusted community leaders.

CONCLUSIONS: Despite unfamiliarity with mAb treatment, most respondents were open to receiving mAbs or recommending mAbs to others. While mAb messaging should have broad reach “to everyone everywhere,” racial and geographic disparities in awareness and trust about mAbs underscore need for tailored messaging to promote equitable access. Care processes should address patient-level barriers like transportation, insurance, or primary care access. COVID-19 treatment dissemination strategies should promote health equity.

PMID:36417457 | DOI:10.1371/journal.pone.0274043

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Nevin Manimala Statistics

Label-free quantitative proteomics and stress responses in pigs-The case of short or long road transportation

PLoS One. 2022 Nov 23;17(11):e0277950. doi: 10.1371/journal.pone.0277950. eCollection 2022.

ABSTRACT

Ethical livestock production is currently a major concern for consumers. In parallel, research has shown that transport duration is an important factor affecting animal welfare and has a negative impact on the final product quality and on the production cost. This study applied proteomics methods to the animal stress/welfare problem in pigs muscle-exudate with the aim to identify proteins indicative of molecular processes underpinning transport stress and to better characterise this species as a biomedical model. A broader perspective of the problem was obtained by applying label-free LC-MS to characterise the proteome response to transport stress (short or long road transportation) in pigs within the same genetic line. A total of 1,464 proteins were identified, following statistical analysis 66 proteins clearly separating pigs subject to short road transportation and pigs subject long road transportation. These proteins were mainly involved in cellular and metabolic processes. Catalase and stress-induced phosphoprotein-1 were further confirmed by Western blot as being involved in the process of self-protection of the cells in response to stress. This study provide an insight into the molecular processes that are involved in pig adaptability to transport stress and are a step-forward for the development of an objective evaluation method of stress in order to improve animal care and management in farm animals.

PMID:36417452 | DOI:10.1371/journal.pone.0277950