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Nevin Manimala Statistics

Preliminary Characterisation of Immune Cell Populations in the Oral Mucosa of a Small Cohort of Healthy Dogs (Canis lupus familiaris)

Anat Histol Embryol. 2024 Nov;53(6):e13113. doi: 10.1111/ahe.13113.

ABSTRACT

Pre-determined anatomical locations in the oral cavity were biopsied, and their histomorphology was characterised using haematoxylin and eosin staining (H&E). The most abundant cell type was of dendritic morphology. Lymphocyte foci were not evident in the palatoglossal folds or the gingiva. Immunohistochemical staining (IHC) for validated leukocyte markers followed, including CD3, CD20, CD79α, CD204, and Iba1. Consistent with H&E findings, CD204 immunoreactivity predominated amongst all niches. With the exception of the alveolar mucosa and palatoglossal folds, we also demonstrate a significant difference in the population of macrophages by region for only the Iba1 antigen (p < 0.0001). B lymphocytes were found, and a significant difference was noted in the sub-epithelium where CD20-positive cells outnumbered those labelled as CD79a positive (p = 0.001), suggesting the possibility that these cells are in an active state in health. A similar significant difference was found in the subepithelial tissue for myeloid cells, as there were more cells labelled as CD204 positive over Iba1, which, along with their distribution pattern, indicates a possible functional and morphological overlap between these cells. No significant difference was found in epithelial tissues for cells of either myeloid or lymphoid origins. The results from this study suggest different regions of the oral cavity exhibit variations in the distribution of immune cells, particularly macrophages and B lymphocytes. Though more studies would be needed to confirm these findings, these differences may have implications for the immune response and overall health of the oral mucosa.

PMID:39441534 | DOI:10.1111/ahe.13113

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Nevin Manimala Statistics

Retraction Note: Long-run equilibrium relationship between energy consumption and CO2 emissions: a dynamic heterogeneous analysis on North Africa

Environ Sci Pollut Res Int. 2024 Oct 23. doi: 10.1007/s11356-024-35373-5. Online ahead of print.

NO ABSTRACT

PMID:39441514 | DOI:10.1007/s11356-024-35373-5

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Nevin Manimala Statistics

From the highway to receiving water bodies: identification and simultaneous quantification of small microplastics (< 100 µm) in highway stormwater runoff

Environ Sci Pollut Res Int. 2024 Oct 23. doi: 10.1007/s11356-024-35302-6. Online ahead of print.

ABSTRACT

Highway stormwater (HSW) runoff is among the environment’s most important sources of microplastics. This study aimed to characterize via vibrational spectroscopy and quantify SMPs (small microplastics < 100 µm) in HSW runoff from a trafficked highway entering a facility equipped with a filtration system and in those flowing out to the receiving water body near agricultural activities. Samples of the inlet runoff (from the highway) and outlet runoff (the discharge into the environment) were collected in different periods to investigate potential seasonal and spatial differences. The sampling, methodology, and analysis were thoroughly carried out to quantify and simultaneously identify SMPs via Micro-FTIR to obtain a specific novel dataset to assess the environmental quality of highway pollution. A significant difference between inlet and outlet samples was reported; the highest abundance in inlet samples was 39813 ± 277 SMPs L.1 (SW10 IN; average length of 77 µm), while the highest one in outlet samples was 15173 ± 171 SMPs L-1 (SW10 OUT; SMPs’ average length of 63 µm). Polyamide 6 (PA 6) and High-Density Polyethylene (HDPE) were predominant. Our results show that these HSW treatment plants, designed for managing regulated pollutants, can intercept SMPs, improving the quality of HSW runoff discharged into the environment.

PMID:39441510 | DOI:10.1007/s11356-024-35302-6

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Nevin Manimala Statistics

COVID-19 Vaccination Response in Patients with Multiple Sclerosis Treated with Ofatumumab in the United States: A Medical Record Review

Neurol Ther. 2024 Oct 23. doi: 10.1007/s40120-024-00671-0. Online ahead of print.

ABSTRACT

INTRODUCTION: Real-world data are required to provide a greater understanding of the impact of ofatumumab on the ability to mount an effective immune response following the receipt of approved COVID-19 vaccinations. This retrospective real-world analysis aimed to describe the humoral immune response to COVID-19 vaccination during ofatumumab treatment in patients with multiple sclerosis (MS).

METHODS: Data from patients with MS treated with ofatumumab who were fully vaccinated against COVID-19 infection were abstracted from medical charts at four clinical sites in the USA. Patient characteristics and humoral response were summarized descriptively. Differences in humoral response were documented on the basis of vaccination status during ofatumumab treatment (i.e., after full vaccination and after booster vaccination) and prior disease-modifying treatment (DMT) exposure (i.e., DMT naïve, prior anti-CD20/sphingosine 1-phosphate [S1P] therapy, prior non-anti-CD20/S1P therapy). The sample size precluded formal statistical analysis.

RESULTS: Thirty-eight patients were included. The mean (standard deviation) duration of ofatumumab treatment upon data collection was 20.4 (4.6) months (treatment ongoing for 35 [92%] patients). Definitive humoral response after full vaccination was documented for 34 patients, of whom 20 (60%) were seropositive. Definitive humoral response after booster vaccination was documented among five patients, of whom three (60%) were seropositive. Among patients who were DMT naïve prior to ofatumumab (n = 15), 73% were seropositive; among patients exposed to prior anti-CD20/S1P therapy (n = 14), 33% were seropositive; and among patients exposed to prior non-anti-CD20/S1P therapy (n = 9), 56% were seropositive. Patients naïve to DMT had been living with an MS diagnosis for a shorter duration than those experienced with DMTs.

CONCLUSION: Patients with MS receiving ongoing treatment with ofatumumab can mount a positive humoral response to a COVID-19 vaccination. Prior treatment with anti-CD20 or S1P DMTs may be a risk factor for lower humoral response.

PMID:39441497 | DOI:10.1007/s40120-024-00671-0

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Nevin Manimala Statistics

Black Women in Medical Education Publishing: Bibliometric and Testimonio Accounts Using Intersectionality Methodology

J Gen Intern Med. 2024 Oct 23. doi: 10.1007/s11606-024-09117-7. Online ahead of print.

ABSTRACT

BACKGROUND: Black women in academic medicine experience racial and gender discrimination, all while being tasked with improving a flawed system. Representation of Black women in medicine remains low, yet they bear the burden of fostering diversity and mentoring trainees, exacerbating their minority tax and emotional labor, and negatively impacting career progression.

OBJECTIVE: To complement qualitative accounts of Black women authors in the medical education literature with a quantitative account of their representation. We used statistical modeling to estimate the representation of Black women authors in medical education publishing as compared to other groups.

DESIGN: An intersectional methodology employing bibliometric analysis and testimonio reflection.

SUBJECTS: US-based authors of journal articles published in medical education journals between 2000 and 2020.

MAIN MEASURES: Author race was determined using a probability-based algorithm incorporating US Census data, and author gender was ascribed using Social Security Administration records. We conducted two negative binomial generalized linear models by first and last author publications. Metadata for each article was retrieved from Web of Science and PubMed to include author names, country of institutional affiliation, and Medical Subject Headings (MeSH). Results were contextualized via the “testimonio” account of a Black woman author.

KEY RESULTS: Of 21,945 unique authors, Black women (and other racially minoritized groups) published far fewer first and last author papers than white women and men. In addition, major MeSH terms used by Black women authors reveal little overlap with highly ranked medical education topics. The testimonio further narrated struggles with belonging and racial identity.

CONCLUSION: This study revealed that Black women are underrepresented in medical education publishing. We believe that dismantling oppressive structures in the publishing ecosystem and the field is imperative for achieving equity. Additionally, further experiential accounts are needed to contextualize this quantitative account and understand underrepresentation in medical education publishing.

PMID:39441491 | DOI:10.1007/s11606-024-09117-7

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Nevin Manimala Statistics

Autoantibody against aquaporin-5 may be a new diagnostic biomarker for primary Sjögren’s syndrome

Clin Rheumatol. 2024 Oct 23. doi: 10.1007/s10067-024-07190-1. Online ahead of print.

ABSTRACT

The study aims to assess the diagnostic and clinical significance of autoantibodies against aquaporin-1 (anti-AQP1) and aquaporin-5 (anti-AQP5) in primary Sjögren’s syndrome (pSS). A total of 163 participants were categorized into three groups: pSS group, other connective tissue diseases (CTD) group, and healthy control (HC) group. The levels of anti-AQP1 and anti-AQP5 autoantibodies in serum were determined using enzyme-linked immunosorbent assay (ELISA), and clinical data from patients were collected for statistical analysis. Our results showed that the level of anti-AQP1 in the pSS group was higher than in the HC group (P < 0.05), and no significant difference was observed between the pSS group and the CTD group (P > 0.05). ROC showed that the anti-AQP1 had no diagnostic value for pSS (P > 0.05). The anti-AQP5 level of 39 healthy adults was all below the cut-off value (14.10 ng/ml) (P < 0.05). The level of anti-AQP5 in the pSS group was higher than the CTD group (P < 0.05), the AUC was 0.86 (95% CI 0.80-0.93), with a sensitivity of 0.95 (95% CI 0.87-0.99) and a specificity of 0.70 (95% CI 0.58-0.84). No correlation was found between anti-AQP5 levels and the EULAR primary Sjögren’s syndrome disease activity index score, anti-SSA, anti-SSB, antinuclear antibodies, rheumatoid factor, anti-ds-DNA, salivary gland flow rate, complement 3, and lymphocyte count in pSS samples (P > 0.05), respectively. Therefore, the elevated anti-AQP5 may emerge as a novel diagnostic biomarker for pSS patients due to high sensitivity and specificity.

PMID:39441465 | DOI:10.1007/s10067-024-07190-1

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Nevin Manimala Statistics

Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data

Lifetime Data Anal. 2024 Oct 23. doi: 10.1007/s10985-024-09640-z. Online ahead of print.

ABSTRACT

We propose a two-stage estimation procedure for a copula-based model with semi-competing risks data, where the non-terminal event is subject to dependent censoring by the terminal event, and both events are subject to independent censoring. With a copula-based model, the marginal survival functions of individual event times are specified by semiparametric transformation models, and the dependence between the bivariate event times is specified by a parametric copula function. For the estimation procedure, in the first stage, the parameters associated with the marginal of the terminal event are estimated using only the corresponding observed outcomes, and in the second stage, the marginal parameters for the non-terminal event time and the copula parameter are estimated together via maximizing a pseudo-likelihood function based on the joint distribution of the bivariate event times. We derived the asymptotic properties of the proposed estimator and provided an analytic variance estimator for inference. Through simulation studies, we showed that our approach leads to consistent estimates with less computational cost and more robustness than the one-stage procedure developed in Chen YH (Lifetime Data Anal 18:36-57, 2012), where all parameters were estimated simultaneously. In addition, our approach demonstrates more desirable finite-sample performances over another existing two-stage estimation method proposed in Zhu H et al., (Commu Statistics-Theory Methods 51(22):7830-7845, 2021) . An R package PMLE4SCR is developed to implement our proposed method.

PMID:39441437 | DOI:10.1007/s10985-024-09640-z

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Nevin Manimala Statistics

Dissecting Secondary Immunodeficiency: Identification of Primary Immunodeficiency within B-Cell Lymphoproliferative Disorders

J Clin Immunol. 2024 Oct 23;45(1):32. doi: 10.1007/s10875-024-01818-2.

ABSTRACT

Distinguishing between primary (PID) and secondary (SID) immunodeficiencies, particularly in relation to hematological B-cell lymphoproliferative disorders (B-CLPD), poses a major clinical challenge. We aimed to analyze and define the clinical and laboratory variables in SID patients associated with B-CLPD, identifying overlaps with late-onset PIDs, which could potentially improve diagnostic precision and prognostic assessment. We studied 37 clinical/laboratory variables in 151 SID patients with B-CLPD. Patients were classified as “Suspected PID Group” when having recurrent-severe infections prior to the B-CLPD and/or hypogammaglobulinemia according to key ESID criteria for PID. Bivariate association analyses showed significant statistical differences between “Suspected PID”- and “SID”-groups in 10 out of 37 variables analyzed, with “Suspected PID” showing higher frequencies of childhood recurrent-severe infections, family history of B-CLPD, significantly lower serum Free Light Chain (sFLC), immunoglobulin concentrations, lower total leukocyte, and switch-memory B-cell counts at baseline. Rpart machine learning algorithm was performed to potentially create a model to differentiate both groups. The model developed a decision tree with two major variables in order of relevance: sum κ + λ and history of severe-recurrent infections in childhood, with high sensitivity 89.5%, specificity 100%, and accuracy 91.8% for PID prediction. Identifying significant clinical and immunological variables can aid in the difficult task of recognizing late-onset PIDs among SID patients, emphasizing the value of a comprehensive immunological evaluation. The differences between “Suspected PID” and SID groups, highlight the need of early, tailored diagnostic and treatment strategies for personalized patient management and follow up.

PMID:39441407 | DOI:10.1007/s10875-024-01818-2

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Nevin Manimala Statistics

Impact of chronic pelvic pain on quality of life in diverse young adults

Arch Gynecol Obstet. 2024 Oct 23. doi: 10.1007/s00404-024-07783-w. Online ahead of print.

ABSTRACT

PURPOSE: To examine the relationship between quality of life (QoL) and chronic pelvic pain (CPP), including an evaluation of whether differences exist between reported races and coping mechanisms used.

METHODS: We used a cross-sectional survey design and analyzed data using descriptive and inferential statistics. We administered two surveys: the World Health Organization Quality of Life-BREF (26 items) and the Impact of Female Chronic Pelvic Pain Questionnaire (8 items). We recruited young adults aged 18-25 who menstruate from college campuses in a large metropolitan area in the Midwest region of the United States, utilizing flyers, online social media platforms, and snowball sampling techniques.

RESULTS: Out of the 585 respondents, 153 (26%) reported “yes,” and 95 (16%) were “unsure” they had CPP. Those with CPP and unsure reported using various coping mechanisms for pain. They had lower scores in all four domains (physical health, psychological, social relationship, and environment) and statistically significant lower scores in three domains (physical health, social relationship, and environment) on the World Health Organization Quality of Life-BREF when compared to those who said “no.” Respondents identifying as Black, Indigenous, or People of Color had statistically significantly lower QoL in the physical health and environment domains compared to white respondents.

CONCLUSION: Young adults with CPP experience a significantly lower QoL than those without CPP, and racial differences further widen this gap. Future research should explore coping mechanisms that could benefit young adults’ daily lives.

PMID:39441406 | DOI:10.1007/s00404-024-07783-w

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Nevin Manimala Statistics

Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance

Eur Radiol. 2024 Oct 23. doi: 10.1007/s00330-024-11145-0. Online ahead of print.

ABSTRACT

OBJECTIVES: To compare standard-resolution balanced steady-state free precession (bSSFP) cine images with cine images acquired at low resolution but reconstructed with a deep learning (DL) super-resolution algorithm.

MATERIALS AND METHODS: Cine cardiovascular magnetic resonance (CMR) datasets (short-axis and 4-chamber views) were prospectively acquired in healthy volunteers and patients at normal (cineNR: 1.89 × 1.96 mm2, reconstructed at 1.04 × 1.04 mm2) and at a low-resolution (2.98 × 3.00 mm2, reconstructed at 1.04 × 1.04 mm2). Low-resolution images were reconstructed using compressed sensing DL denoising and resolution upscaling (cineDL). Left ventricular ejection fraction (LVEF), end-diastolic volume index (LVEDVi), and strain were assessed. Apparent signal-to-noise (aSNR) and contrast-to-noise ratios (aCNR) were calculated. Subjective image quality was assessed on a 5-point Likert scale. Student’s paired t-test, Wilcoxon matched-pairs signed-rank-test, and intraclass correlation coefficient (ICC) were used for statistical analysis.

RESULTS: Thirty participants were analyzed (37 ± 16 years; 20 healthy volunteers and 10 patients). Short-axis views whole-stack acquisition duration of cineDL was shorter than cineNR (57.5 ± 8.7 vs 98.7 ± 12.4 s; p < 0.0001). No differences were noted for: LVEF (59 ± 7 vs 59 ± 7%; ICC: 0.95 [95% confidence interval: 0.94, 0.99]; p = 0.17), LVEDVi (85.0 ± 13.5 vs 84.4 ± 13.7 mL/m2; ICC: 0.99 [0.98, 0.99]; p = 0.12), longitudinal strain (-19.5 ± 4.3 vs -19.8 ± 3.9%; ICC: 0.94 [0.88, 0.97]; p = 0.52), short-axis aSNR (81 ± 49 vs 69 ± 38; p = 0.32), aCNR (53 ± 31 vs 45 ± 27; p = 0.33), or subjective image quality (5.0 [IQR 4.9, 5.0] vs 5.0 [IQR 4.7, 5.0]; p = 0.99).

CONCLUSION: Deep-learning reconstruction of cine images acquired at a lower spatial resolution led to a decrease in acquisition times of 42% with shorter breath-holds without affecting volumetric results or image quality.

KEY POINTS: Question Cine CMR acquisitions are time-intensive and vulnerable to artifacts. Findings Low-resolution upscaled reconstructions using DL super-resolution decreased acquisition times by 35-42% without a significant difference in volumetric results or subjective image quality. Clinical relevance DL super-resolution reconstructions of bSSFP cine images acquired at a lower spatial resolution reduce acquisition times while preserving diagnostic accuracy, improving the clinical feasibility of cine imaging by decreasing breath hold duration.

PMID:39441391 | DOI:10.1007/s00330-024-11145-0