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Nevin Manimala Statistics

Elemental analysis and micromorphological patterns of tooth/restoration interface of three ion-releasing class V restorations

BMC Oral Health. 2024 Oct 15;24(1):1221. doi: 10.1186/s12903-024-04944-w.

ABSTRACT

OBJECTIVES: To evaluate and compare the ion-releasing capability of three different restorative systems at the restoration/tooth interface elemental analysis using energy-dispersive X-ray technique. Additionally, micromorphological patterns of the restoration/tooth interfaces was investigated.

MATERIALS AND METHODS: Eighteen freshly extracted sound human premolars were collected for the study. The premolars were randomly assigned into 3 groups (n = 6) based on the type of restorative materials used: Giomer (Beautifill II), ion-releasing composite (Activa Presto), and RMGI (Riva Light Cure). Half of the specimens in each group were tested after 24 h (the “immediate group”), while the remaining half were tested after 6 months of storage in deionized water (the “delayed group”). Standardized box-shaped cavities along the cervical area of teeth crowns and restored them with the assigned restorative material following manufacturers’ instructions. The specimens were sectioned buccolingually into 2 halves. One half of each specimen was subjected to elemental analysis using energy-dispersive X-ray technique (EDX), while the remaining half was sputter coated and underwent micromorphological analysis of the restoration/tooth interface using a scanning electron microscope (SEM). The collected data from elemental analysis test were tabulated and subjected to statistical analysis.

RESULTS: The two-way ANOVA test showed significant differences in both phosphorus and calcium levels among the tested restorative systems (p < 0.05). In the immediate subgroup, RMGI recorded the highest phosphorus level (0.1527), followed by the ion-releasing composite (0.1172), while Giomer exhibited the least levels (0.0326) (p < 0.05). The ion-releasing composite group had the highest calcium level (0.2797), followed by RMGI (0.248), and Giomer (0.2385) respectively (p < 0.05). In the delayed subgroups, Giomer recorded the highest phosphorus level (0.1526), followed by the ion-releasing composite (0.1058), and RMGI group (0.0466) respectively (p < 0.05). RMGI had the highest calcium level (0.2801), followed by the ion-releasing composite (0.2659), and Giomer had the lowest level (0.1792) (p < 0.05). The micromorphological analysis of the restoration/tooth interfaces showed good adaptation between the composite and tooth substrate in different restorative groups.

CONCLUSIONS: The ion-releasing capability of the three restorative systems appears to be comparable. The rate of mineral release and diffusion is affected by time and composition.

PMID:39407219 | DOI:10.1186/s12903-024-04944-w

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Nevin Manimala Statistics

Common pitfalls in drug target Mendelian randomization and how to avoid them

BMC Med. 2024 Oct 15;22(1):473. doi: 10.1186/s12916-024-03700-9.

ABSTRACT

BACKGROUND: Drug target Mendelian randomization describes the use of genetic variants as instrumental variables for studying the effects of pharmacological agents. The paradigm can be used to inform on all aspects of drug development and has become increasingly popular over the last decade, particularly given the time- and cost-efficiency with which it can be performed even before commencing clinical studies.

MAIN BODY: In this review, we describe the recent emergence of drug target Mendelian randomization, its common pitfalls, how best to address them, as well as potential future directions. Throughout, we offer advice based on our experiences on how to approach these types of studies, which we hope will be useful for both practitioners and those translating the findings from such work.

CONCLUSIONS: Drug target Mendelian randomization is nuanced and requires a combination of biological, statistical, genetic, epidemiological, clinical, and pharmaceutical expertise to be utilized to its full potential. Unfortunately, these skillsets are relatively infrequently combined in any given study.

PMID:39407214 | DOI:10.1186/s12916-024-03700-9

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Nevin Manimala Statistics

Patient and family aftercare enhance interactions between Helicopter Emergency Medicine Services and former patients and families

BMC Health Serv Res. 2024 Oct 16;24(1):1238. doi: 10.1186/s12913-024-11720-7.

ABSTRACT

BACKGROUND: Helicopter Emergency Medical Services (HEMS) in the United Kingdom (UK) deliver enhanced care to high-acuity, critically ill and injured patients. To enable patients to meet the HEMS team who treated them, many services within the UK have developed or are in the process of developing a Patient and Family Aftercare Service (PFAS). This study aims to evaluate whether the introduction of PFAS mitigates anxiety associated with patient aftercare visits.

METHODS: A service evaluation of anxiety in HEMS team members before and after patient aftercare visits were conducted. The study was carried out between 1 September 2023, and 31 October 2023, and patient visits were undertaken between March 2022 and July 2023. An electronic survey was distributed to the respondents who provided informed consent for participation. The survey comprised the validated generalised anxiety disorder anxiety scale (GAD-7) and five additional contextualised statements developed through the wider PFAS. Anonymised data were collected using REDCap, a secure electronic database and was analysed in R programming. Free-text comments were reported by content analysis, placed into themes, and discussed with a narrative to complement the quantitative analysis.

RESULTS: Of the 33 recipients, 25 completed the questionnaire. Between the pre- and post-aftercare visits, a statistically significant difference was found between scores for GAD-7 (0.004, p < 0.05) and contextualised statements (0.001, p < 0.05). In addition, six broad themes were identified through content analysis. These include the emotional impact of patient interaction, coping strategies and structural changes in the aftercare system, challenges in patient and family expectations, anxieties relating to operational commitments, memory and recall of the incident, and a positive impact on personal growth.

CONCLUSION: Anxiety related to patient aftercare visits was reduced when measured before and after the patient visits. Following this service evaluation, we can hypothesise that within pre-hospital care, PFAS plays an important structural role. Future research should focus on affirming the correct tool to measure anxiety in multi-disciplinary teams and prospectively evaluating these methods collaboratively across multiple pre-hospital services.

PMID:39407209 | DOI:10.1186/s12913-024-11720-7

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Nevin Manimala Statistics

Bruxism awareness and self-assessment in dental clinical students: a questionnaire-based study

BMC Oral Health. 2024 Oct 15;24(1):1223. doi: 10.1186/s12903-024-04997-x.

ABSTRACT

BACKGROUND: Bruxism is a recurrent parafunctional habit characterized by clenching or grinding teeth and/or jaw contractions. It is quite common among dental students and is associated with psychosocial factors such as stress and anxiety. This study aimed to compare bruxism awareness and self-assessment among clinical students with and without bruxism.

METHODS: This study included systemically healthy individuals aged 18 to 27 years. Intraoral and extraoral examinations were performed on 128 4th- and 5th-grade dental students with (64) and without bruxism (64), 4th and 5th-grade dental students at Bolu Abant İzzet Baysal University who met the inclusion criteria. The diagnosis of bruxism was based on the 2018 International Consensus and data collected through a validated 33-item questionnaire covering general information and bruxism awareness. The questionnaire included multiple-choice questions on bruxism types, risk factors, symptoms, and impact on periodontal tissues. Statistical analyses were performed via IBM SPSS Statistics, and p < 0.05 was considered statistically significant.

RESULTS: Clenching and teeth grinding during sleep, tooth wear, muscle fatigue, pain in the temples, jaw pain, joint trismus, neck pain, and jaw joint pain and clenching while awake were significantly different in bruxism patients (p < 0.05). There was no significant difference between the two groups in terms of bruxism type, symptoms, treatment methods, periodontal tissues, occlusal trauma, diagnostic methods, or the relationship between lifestyle and bruxism (p > 0.05). While 71.9% of those diagnosed with bruxism stated that they had bruxism, 68.8% of those who were not diagnosed stated that they did not have bruxism.

CONCLUSION: Although dental students are aware of bruxism, their understanding of its multifactorial nature and treatment options needs improvement. Increasing this knowledge could reduce the prevalence of bruxism among dental students and improve patient care.

CLINICAL TRIAL REGISTRATION: The clinical trial was retrospectively registered on ClinicalTrials.gov under the identifier NCT06583044, with a registration date of 03/09/2024. https://register.

CLINICALTRIALS: gov/prs/beta/studies/S000EUYA00000023/recordSummary .

PMID:39407206 | DOI:10.1186/s12903-024-04997-x

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Nevin Manimala Statistics

Tobacco consumption behavior change during the COVID-19 pandemic is associated with perceived COVID threat

BMC Public Health. 2024 Oct 15;24(1):2827. doi: 10.1186/s12889-024-20259-5.

ABSTRACT

RATIONALE: Tobacco use is a risk factor for COVID-19 adverse outcomes. Despite health implications, data conflict regarding COVID-19 and tobacco consumption. We present results from a survey of health behaviors during the pandemic to identify how COVID-19 influenced tobacco behaviors.

METHODS: A nationally administered, internet-based survey was deployed between May-September 2020. Of respondents, we analyzed participants who reported current smoking and/or vaping. Our primary outcome of interest was change in tobacco or vape use using measures from the Behavioral Risk Factor Surveillance System, as well as whether participants reported that these changes were related to COVID-19. Our principal exposures were previously psychometrically evaluated measures of anxiety, depression, and novel perceived COVID-19 threat scale with additional adjustment for age. We employed multinomial logistic regression to determine associations between these factors and tobacco consumption.

RESULTS: We identified 500 respondents who reported ever smoking in their lifetime, 150 of which reported currently smoking at the time of the survey. Of 220 participants who reported any use of vapes, 110 reported currently vaping. Increased perceived threat of COVID-19 was associated with both increased (aRRincrease 1.75, 95% CI [1.07-2.86], P = 0.03) and decreased (aRRdecrease 1.72 [1.04-2.85], P = 0.03) tobacco consumption relative to no change. There were no significant relationships found between perceived threat of COVID-19 and vaping behavior.

CONCLUSIONS: As perceived COVID-19 threat increased, people were more likely to increase or decrease their smoking as opposed to continue at the same amount of use, even after controlling for anxiety and depression, both of which are known to affect smoking in either direction. Further study into motivators of changing tobacco consumption behaviors, and how barriers to care from safer-at-home policies and changes in care delivery moderate change in tobacco use will aid planning tobacco reduction interventions during the ongoing and future respiratory viral pandemics.

TRIAL REGISTRATION: This manuscript is derived from baseline survey data obtained in the “Understanding Community Considerations, Opinions, Values, Impacts, and Decisions in COVID-19” study.

CLINICALTRIALS: gov registration NCT04373135, registered 04/30/2020.

PMID:39407204 | DOI:10.1186/s12889-024-20259-5

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Nevin Manimala Statistics

Rickets, resorption and revolution: An investigation into the relationship between vitamin D deficiency in childhood and osteoporosis in adulthood in an 18th-19th century population

Int J Paleopathol. 2024 Oct 14;47:27-42. doi: 10.1016/j.ijpp.2024.09.002. Online ahead of print.

ABSTRACT

OBJECTIVE: This study employs a Developmental Origins of Health and Disease (DOHaD) approach to assess the effect of vitamin D deficiency (VDD) in childhood on the risk of osteoporosis in adulthood in an archaeological sample of skeletons dating from the 18th to 19th centuries.

MATERIALS: Femora and lumbar vertebrae of 65 adults aged 18+ years (26 diagnosed with residual rickets and 39 without) from an 18th-19th century Quaker burial ground at Coach Lane, North Shields, England.

METHODS: Bone mineral density (BMD) was measured for the femoral neck and first four lumbar vertebrae of each individual using a dual energy X-ray absorptiometry (DXA) scanner as a proxy for assessing osteoporotic fracture risk.

RESULTS: 3-way ANOVA revealed no statistically significant differences in BMD between individuals with and without residual rickets across age and sex.

CONCLUSIONS: A combination of lifestyle and environmental factors likely influenced the BMD of people buried at Coach Lane across the life course. The impact of childhood VDD on BMD later in life can be mitigated through other factors such as physical activity and diet.

SIGNIFICANCE: This is one of the first bioarchaeological studies to take a DOHaD approach to understand osteoporosis risk in 18th-19th century England. It highlights the complexity of aetiological factors for osteoporosis and that VDD in early life does not necessarily predispose a person to osteoporosis in adulthood.

LIMITATIONS: BMD is not the only indicator of osteoporosis. Microscopic methods for the assessment of childhood vitamin D deficiency, such as inter-globular dentine analysis, were not applied.

PMID:39405592 | DOI:10.1016/j.ijpp.2024.09.002

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Nevin Manimala Statistics

What in Earth? Analyses of Canadian soil populations of Aspergillus fumigatus

Can J Microbiol. 2024 Oct 15. doi: 10.1139/cjm-2024-0083. Online ahead of print.

ABSTRACT

Aspergillus fumigatus is a globally distributed mold and a major cause of opportunistic infections in humans. Because most infections are from environmental exposure, it’s critical to understand environmental populations of A. fumigatus. Soil is a major ecological niche for A. fumigatus. Here we analyzed 748 soil isolates from 21 locations in six provinces and one territory in Canada. All isolates were genotyped using nine microsatellite markers. Due to small sample size and/or close proximities for some local samples, these isolates were grouped into 16 local geographic and ecological populations. Our results indicated high allelic and genotypic diversities within most local and provincial populations. Interestingly, low but statistically significant genetic differentiations were found among geographic populations within Canada, with relatively similar proportions of strains and genotypes belonging to two large genetic clusters. In Hamilton, Ontario and Vancouver, BC, where two and three ecological populations were analyzed respectively, we found limited genetic difference among them. Most local and provincial populations showed evidence of both clonality and recombination, with no population showing random recombination. Of the 748 soil isolates analyzed here, two were resistant to triazole antifungals. We discuss the implications of our results to the evolution and epidemiology of A. fumigatus.

PMID:39405583 | DOI:10.1139/cjm-2024-0083

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Nevin Manimala Statistics

Exploratory Factor Analysis and Convergent Validity of the Adult Executive Function Inventory (ADEXI)

Am J Occup Ther. 2024 Nov 1;78(6):7806205140. doi: 10.5014/ajot.2024.050686.

ABSTRACT

IMPORTANCE: The Adult Executive Functioning Inventory (ADEXI)-a short, practical, self-report questionnaire accessible across diverse adult populations and languages-was used to assess executive functions (EFs), primarily inhibition and working memory.

OBJECTIVE: To examine the construct validity of the ADEXI Hebrew version through exploratory factor analysis (EFA) and convergent validity by correlating scores with similar measures of EF.

DESIGN AND SETTING: Cross-sectional study using online anonymous surveys.

PARTICIPANTS: Nonclinical sample of 239 adults, 74.1% women, ages 18 to 80 yr (Mage = 44.19 yr, SD = 12.89).

OUTCOMES AND MEASURES: The Hebrew version of the 14-item ADEXI, a demographic questionnaire, and the Dysexecutive Questionnaire (DEX).

RESULTS: Descriptive statistics, Cronbach’s α EFA using varimax rotation, and Pearson’s correlations were used. Total internal consistency was good (α = .86). Unlike the two factors in the original English version, our construct validity through EFA revealed three factors-inhibition, working memory, and, uniquely, flexibility-that accounted for 55.71% of the variance. Convergent validity was supported by medium to large significant correlations (r =.29-.76) between the ADEXI and the DEX subscales and total scores.

CONCLUSIONS AND RELEVANCE: Our findings offer psychometric evidence to support using the Hebrew version of the ADEXI for EF assessments in adult Hebrew-speaking populations. Plain-Language Summary: The Adult Executive Functioning Inventory (ADEXI) assesses three key components: inhibition, working memory, and cognitive flexibility. In this study, we examined the construct validity of the Hebrew version of the ADEXI to assess executive functions. Our findings support using the ADEXI in Hebrew-speaking populations. The ADEXI offers occupational therapy practitioners serving Hebrew-speaking populations in their practice a validated tool for assessing executive functions.

PMID:39405580 | DOI:10.5014/ajot.2024.050686

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Nevin Manimala Statistics

High-throughput molecular simulations of SARS-CoV-2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression

J Comput Chem. 2024 Oct 15. doi: 10.1002/jcc.27512. Online ahead of print.

ABSTRACT

Prediction of protein fitness from computational modeling is an area of active research in rational protein design. Here, we investigated whether protein fluctuations computed from molecular dynamics simulations can be used to predict the expression levels of SARS-CoV-2 receptor binding domain (RBD) mutants determined in the deep mutational scanning experiment of Starr et al. [Science (New York, N.Y.) 2022, 377, 420] Specifically, we performed more than 0.7 milliseconds of molecular dynamics (MD) simulations of 557 mutant RBDs in triplicate to achieve statistical significance under various simulation conditions. Our results show modest but significant anticorrelation in the range [-0.4, -0.3] between expression and RBD protein flexibility. A simple linear regression machine learning model achieved correlation coefficients in the range [0.7, 0.8], thus outperforming MD-based models, but required about 25 mutations at each residue position for training.

PMID:39405551 | DOI:10.1002/jcc.27512

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Nevin Manimala Statistics

Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review

JMIR Med Inform. 2024 Oct 15;12:e56343. doi: 10.2196/56343.

ABSTRACT

BACKGROUND: Electronic health records (EHRs) commonly contain patient addresses that provide valuable data for geocoding and spatial analysis, enabling more comprehensive descriptions of individual patients for clinical purposes. Despite the widespread use of EHRs in clinical decision support and interventions, no systematic review has examined the extent to which spatial analysis is used to characterize patient phenotypes.

OBJECTIVE: This study reviews advanced spatial analyses that used individual-level health data from EHRs within the United States to characterize patient phenotypes.

METHODS: We systematically evaluated English-language, peer-reviewed studies from the PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar databases from inception to August 20, 2023, without imposing constraints on study design or specific health domains.

RESULTS: A substantial proportion of studies (>85%) were limited to geocoding or basic mapping without implementing advanced spatial statistical analysis, leaving only 49 studies that met the eligibility criteria. These studies used diverse spatial methods, with a predominant focus on clustering techniques, while spatiotemporal analysis (frequentist and Bayesian) and modeling were less common. A noteworthy surge (n=42, 86%) in publications was observed after 2017. The publications investigated a variety of adult and pediatric clinical areas, including infectious disease, endocrinology, and cardiology, using phenotypes defined over a range of data domains such as demographics, diagnoses, and visits. The primary health outcomes investigated were asthma, hypertension, and diabetes. Notably, patient phenotypes involving genomics, imaging, and notes were limited.

CONCLUSIONS: This review underscores the growing interest in spatial analysis of EHR-derived data and highlights knowledge gaps in clinical health, phenotype domains, and spatial methodologies. We suggest that future research should focus on addressing these gaps and harnessing spatial analysis to enhance individual patient contexts and clinical decision support.

PMID:39405525 | DOI:10.2196/56343