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Nevin Manimala Statistics

A new approach of microbiome monitoring in the built environment: feasibility analysis of condensation capture

Microbiome. 2023 Jun 8;11(1):129. doi: 10.1186/s40168-023-01555-5.

ABSTRACT

BACKGROUND: Humans emit approximately 30 million microbial cells per hour into their immediate vicinity. However, sampling of aerosolized microbial taxa (aerobiome) remains largely uncharacterized due to the complexity and limitations of sampling techniques, which are highly susceptible to low biomass and rapid sample degradation. Recently, there has been an interest in developing technology that collects naturally occurring water from the atmosphere, even within the built environment. Here, we analyze the feasibility of indoor aerosol condensation collection as a method to capture and analyze the aerobiome.

METHODS: Aerosols were collected via condensation or active impingement in a laboratory setting over the course of 8 h. Microbial DNA was extracted from collected samples and sequenced (16S rRNA) to analyze microbial diversity and community composition. Dimensional reduction and multivariate statistics were employed to identify significant (p < 0.05) differences in relative abundances of specific microbial taxa observed between the two sampling platforms.

RESULTS: Aerosol condensation capture is highly efficient with a yield greater than 95% when compared to expected values. Compared to air impingement, aerosol condensation showed no significant difference (ANOVA, p > 0.05) in microbial diversity. Among identified taxa, Streptophyta and Pseudomonadales comprised approximately 70% of the microbial community composition.

CONCLUSION: The results suggest that condensation of atmospheric humidity is a suitable method for the capture of airborne microbial taxa reflected by microbial community similarity between devices. Future investigation of aerosol condensation may provide insight into the efficacy and viability of this new tool to investigate airborne microorganisms.

IMPORTANCE: On average, humans shed approximately 30 million microbial cells each hour into their immediate environment making humans the primary contributor to shaping the microbiome found within the built environment. In addition, recent events have highlighted the importance of understanding how microorganisms within the built environment are aerosolized and dispersed, but more importantly, the lack in development of technology that is capable of actively sampling the ever-changing aerosolized microbiome, i.e., aerobiome. This research highlights the capability of sampling the aerobiome by taking advantage of naturally occurring atmospheric humidity. Our novel approach reproduces the biological content in the atmosphere and can provide insight into the environmental microbiology of indoor spaces. Video Abstract.

PMID:37291673 | DOI:10.1186/s40168-023-01555-5

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Nevin Manimala Statistics

Obtaining medication histories via telepharmacy: an observational study

J Pharm Policy Pract. 2023 Jun 8;16(1):69. doi: 10.1186/s40545-023-00573-w.

ABSTRACT

BACKGROUND: Medication reconciliation is an effective strategy to reduce medication errors upon hospital admission. The process involves obtaining a best possible medication history (BPMH), which can be both time-consuming and resource-intensive. During the COVID-19 pandemic, telepharmacy was used to reduce the risk of viral transmission. Telepharmacy is the remote provision of pharmacy-led clinical services, such as obtaining BPMHs, using telecommunications. However, the accuracy of telephone-obtained BPMHs has not yet been evaluated. Therefore, the primary aim of this study was to evaluate the proportion of patients who have an accurate BPMH from the telephone-obtained BPMH compared to an in-person obtained BPMH.

METHODS: This prospective, observational study took place in a large tertiary hospital. Recruited patients or carers had their BPMH obtained by a pharmacist over the telephone. The same patients or carers then had their BPMH conducted in-person to identify any deviations between the telephone-obtained and in-person obtained BPMH. All telephone-obtained BPMHs were timed with a stopwatch. Any deviations were categorised according to their potential consequence. An accurate BPMH was defined as having no deviations. Descriptive statistics were used to report all quantitative variables. A multivariable logistic regression was conducted to identify risk factors for patients and medications for having medication deviations.

RESULTS: In total, 116 patients were recruited to receive both a telephone-obtained and in-person obtained BPMH. Of these, 91 patients (78%) had an accurate BPMH with no deviations. Of the 1104 medications documented across all the BPMHs, 1064 (96%) had no deviation. Of the 40 (4%) medication deviations, 38 were deemed low-risk (3%) and 2 high-risk (1%). A patient was more likely to have a deviation if they are taking more medications (aOR: 1.11; 95% CI: 1.01-1.22; p < 0.05). A medication was more likely to have a deviation if it was regular non-prescription medication (aOR: 4.82; 95% CI: 2.14-10.82; p < 0.001) or ‘when required’ non-prescription medication (aOR: 3.12; 95% CI: 1.20-8.11; p = 0.02) or a topical medication (aOR: 12.53; 95% CI: 4.34-42.17; p < 0.001).

CONCLUSIONS: Telepharmacy represents a reliable and time-efficient alternative to in-person BPMHs.

PMID:37291672 | DOI:10.1186/s40545-023-00573-w

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Nevin Manimala Statistics

Refractive outcome and lens power calculation after intrascleral intraocular lens fixation: a comparison of three-piece and one-piece intrascleral fixation technique

Eye Vis (Lond). 2023 Jun 9;10(1):29. doi: 10.1186/s40662-023-00341-6.

ABSTRACT

PURPOSE: To evaluate the refractive prediction error of common intraocular lens (IOL) power calculation formulae in patients who underwent intrascleral IOL fixation using two different techniques.

METHODS: This is a prospective, randomized, longitudinal, single-site, single-surgeon study. Patients who underwent intrascleral IOL implantation using the Yamane or the Carlevale technique were followed up for a period of six months postoperatively. Refraction was measured using the best-corrected visual acuity at 4 m (EDTRS chart). Lens decentration, tilt and effective lens position (ELP) were assessed using an anterior segment optical coherence tomography (AS-OCT). The prediction error (PE) and the absolute error (AE) were evaluated for the SRK/T, Hollayday1 and Hoffer Q formula. Subsequently, correlations between the PE and axial length, keratometry, white to white and ELP were assessed.

RESULTS: In total, 53 eyes of 53 patients were included in the study. Twenty-four eyes of 24 patients were in the Yamane group (YG) and 29 eyes of 29 patients were in the Carlevale group (CG). In the YG, the Holladay 1 and Hoffer Q formulae resulted in a hyperopic PE (0.02 ± 0.56 D, and 0.13 ± 0.64 D, respectively) while in the SRK/T formula the PE was slightly myopic (- 0.16 ± 0.56 D). In the CG, SRK/T and Holladay 1 formulae led to a myopic PE (- 0.1 ± 0.80 D and – 0.04 ± 0.74 D, respectively), Hoffer Q to a hyperopic PE (0.04 ± 0.75 D). There was no difference between the PE of the same formulae across both groups (P > 0.05). In both groups the AE differed significantly from zero in each evaluated formula. The AE error was within ± 0.50 D in 45%-71% and was within ± 1.00 D in 72%-92% of eyes depending on the formula and surgical method used. No significant differences were found between formulae within and across groups (P > 0.05). Intraocular lens tilt was lower in the CG (6.45 ± 2.03°) compared to the YG (7.67 ± 3.70°) (P < 0.001). Lens decentration was higher in the YG (0.57 ± 0.37 mm) than in the CG (0.38 ± 0.21 mm), though the difference was not statistically significant (P = 0.9996).

CONCLUSIONS: Refractive predictability was similar in both groups. IOL tilt was better in the CG, however this did not influence the refractive predictability. Though not significant, Holladay 1 formula seemed to be more probable than the SRK/T and Hoffer Q formulae. However, significant outliers were observed in all three different formulae and therefore remain a challenging task in secondary fixated IOLs.

PMID:37291668 | DOI:10.1186/s40662-023-00341-6

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Nevin Manimala Statistics

Predictors of current suicidal ideation in a multi-diagnostic sample of individuals with eating disorders

J Eat Disord. 2023 Jun 8;11(1):94. doi: 10.1186/s40337-023-00789-w.

ABSTRACT

BACKGROUND: Individuals with eating disorders (EDs) have high rates of suicidal ideation (SI) and attempts (SA). Fasting, body dissatisfaction, binge eating and purging have been associated with SI in non-clinical samples, individuals with anorexia nervosa or low-weight EDs, and a multi-diagnostic sample. However, few studies have examined how ED symptoms contribute to risk for SI in conjunction with other well-established risk factors, such as nonsuicidal self-injury (NSSI) and past SA. The aim of this study was to examine which ED symptoms contribute unique risk for current SI in a multi-diagnostic, clinical sample when statistically adjusting for gender, NSSI, past SA, and past SI.

METHODS: We conducted a chart review of 166 individuals who presented for ED treatment at an outpatient facility and signed informed consent. Initial intake interviews were coded for the presence versus absence of fasting, fear of weight gain, binge eating, purging, excessive exercise, restriction, body checking, self-weighing, and body dissatisfaction, as well as NSSI, past SA, past SI, and current SI.

RESULTS: A total of 26.5% of the sample endorsed current SI. In a logistic regression analysis, identifying as male (n = 17) or having a non-binary gender identity (n = 1), the presence of fasting, and past SI were all significantly associated with increased odds of current SI, whereas excessive exercise significantly decreased odds of current SI. Fasting was equally common across all diagnostic groups.

CONCLUSIONS: Future research should establish the temporal relationship between fasting and SI to better inform intervention.

PMID:37291663 | DOI:10.1186/s40337-023-00789-w

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Nevin Manimala Statistics

Multielement analysis coupled with chemometrics modelling for geographical origin classification of teff [Eragrostis tef (Zuccagni) Trotter] grains from Amhara Region, Ethiopia

BMC Chem. 2023 Jun 8;17(1):50. doi: 10.1186/s13065-023-00972-9.

ABSTRACT

Teff [Eragrostis tef (Zuccagni) Trotter] is an indigenous crop in Ethiopia, and Amhara region is the predominant teff producing region in the country. This study was aimed at developing an analytical methodology useful to determine the geographical origin of teff produced in the Amhara Region, based on multielement analysis combined with multivariate statistical techniques. For this, a total of 72 teff grain samples were collected from three zones (West Gojjam, East Gojjam, and Awi) and analysed for K, Na, Mg, Ca, Mn, Cu, Fe, Co, Ni, Zn, Cr, and Cd contents using inductively coupled plasma-optical emission spectroscopy (ICP-OES). The digestion and ICP-OES analysis method were accurate, with percentage recovery ranging 85.5 to 109% across the different metals analysed. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to discriminate samples based on their production regions. Magnesium, Ca, Fe, Mn, and Zn were the most discriminating elements among the samples. The LDA model provided 96% correct classification of samples into production regions and varietal types, with an average prediction ability of 92%. Hence, the multielement analysis combined with statistical modeling can be used in the authentication of the geographical origin and varietal type of teff from Amhara region.

PMID:37291660 | DOI:10.1186/s13065-023-00972-9

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Nevin Manimala Statistics

Diagnostic Role of Circulating Endocan Levels in Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis

Angiology. 2023 Jun 8:33197231183087. doi: 10.1177/00033197231183087. Online ahead of print.

ABSTRACT

Endocan, as an endothelial cell damage marker, plays role in several cardiovascular and non-cardiovascular diseases. This systematic review and meta-analysis evaluates the role of endocan as a potential diagnostic or prognostic biomarker for obstructive sleep apnea (OSA). International databases including PubMed, Embase, Web of Science, and Scopus were searched for relevant studies assessing endocan levels in OSA patients compared with healthy controls or within different severities or comorbidities of OSA. Random-effect meta-analysis was performed in order to calculate the standardized mean difference (SMD) and 95% confidence interval (CI) of serum/plasma endocan in all comparisons. A total of 10 studies were included in our systematic review, among which seven were used in meta-analysis. Meta-analysis showed that endocan levels were significantly higher in patients with OSA compared with healthy controls (SMD 1.29, 95% CI 0.64-1.93, P < .001) and this was not different between serum and plasma subgroups. However, there was no statistical difference between severe and non-severe OSA patients (SMD .64, 95% CI -.22 to 1.50, P = .147). Considerably, higher endocan levels in patients with OSA in comparison with non-OSA individuals might have clinical implications. This association warrants further research due to its potential use as a diagnostic and prognostic biomarker.

PMID:37290048 | DOI:10.1177/00033197231183087

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Nevin Manimala Statistics

On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem

Evol Comput. 2023 Jun 8:1-35. doi: 10.1162/evco_a_00335. Online ahead of print.

ABSTRACT

We contribute to the efficient approximation of the Pareto-set for the classical NP-hard multi-objective minimum spanning tree problem (moMST) adopting evolutionary computation. More precisely, by building upon preliminary work, we analyse the neighborhood structure of Pareto-optimal spanning trees and design several highly biased sub-graph-based mutation operators founded on the gained insights. In a nutshell, these operators replace (un)connected sub-trees of candidate solutions with locally optimal sub-trees. The latter (biased) step is realized by applying Kruskal’s single-objective MST algorithm to a weighted sum scalarization of a sub-graph. We prove runtime complexity results for the introduced operators and investigate the desirable Pareto-beneficial property. This property states that mutants cannot be dominated by their parent. Moreover, we perform an extensive experimental benchmark study to showcase the operator’s practical suitability. Our results confirm that the subgraph based operators beat baseline algorithms from the literature even with severely restricted computational budget in terms of function evaluations on four different classes of complete graphs with different shapes of the Pareto-front.

PMID:37290030 | DOI:10.1162/evco_a_00335

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Nevin Manimala Statistics

Mental health initiatives: Providing stress management, wellness, and mindfulness workshops on college campuses

J Am Coll Health. 2023 Jun 8:1-8. doi: 10.1080/07448481.2023.2222830. Online ahead of print.

ABSTRACT

Objective: College students experience stressors that can increase the risk for mental health concerns and negatively impact retention rates. It is crucial for practitioners working on college campuses to find creative ways to meet the needs of their students and cultivate a campus culture that is dedicated to bolstering mental health. The purpose of this study was to explore if implementing 1-h mental health workshops covering stress management, wellness, mindfulness, and SMART goals was feasible and advantageous for students. Participants: Researchers hosted 1-h workshops in 13 classrooms. Participants included 257 students who completed the pretest and 151 students who completed the post-test. Methods: A quasi-experimental 1-group pre- and post-test design was utilized. Results: Means and standard deviations were utilized to examine knowledge, attitudes, and intentions in each domain. Results indicated statistically significant improvements in each. Conclusion: Implications and interventions are provided for mental health practitioner working on college campuses.

PMID:37290001 | DOI:10.1080/07448481.2023.2222830

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Nevin Manimala Statistics

College student behaviors and preferences in community pharmacies

J Am Coll Health. 2023 Jun 8:1-5. doi: 10.1080/07448481.2023.2217725. Online ahead of print.

ABSTRACT

Objective: The primary goal of conducting this research was to gain insight into what characteristics of a community pharmacy college students may find appealing and how community pharmacies can tailor their services toward college students. Participants: The survey was distributed to 3,000 college students at The University of Mississippi from various schools and majors across campus. A total of 188 students participated by completing questions from the survey. Methods: The research was performed by using a cross-sectional online survey, and basic descriptive statistics, including frequency counts were used to characterize the findings. Statistical analyses, including crosstabs and chi-square analyses, were used to determine if there were any significant (p < 0.05) associations between characteristics such as pharmacy preferences and other variables. Results: Results of this survey indicated that the majority of respondents have used a community pharmacy in the past six months, and a small number of participants are interested in using a pharmacy for more than the sole reason of filling a prescription. Results also showed that insurance and convenience were the two most influential factors in choosing a community pharmacy. Conclusion: The findings presented in this study show a number of opportunities for community pharmacies to improve the health of college students and their communities.

PMID:37289988 | DOI:10.1080/07448481.2023.2217725

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Nevin Manimala Statistics

Social predictors of psychological well-being and symptoms of college students

J Am Coll Health. 2023 Jun 8:1-14. doi: 10.1080/07448481.2023.2217717. Online ahead of print.

ABSTRACT

OBJECTIVE: Limited research exists on the simultaneous effects of family functioning, social competence, and social support on the well-being and depression, anxiety, and stress of college students and the power of these effects. We examined these predictors in two models to determine each variable’s impact on students’ mental health.

PARTICIPANTS: From October 2018 to November 2018, 726 students from 18 institutions of varying sizes across the United States participated in an online survey.

METHODS: Stratified random sampling with institution size and setting as the strata; descriptive statistics, Pearson correlation, and multiple linear regression to test study hypotheses.

RESULTS: Variables predicted mental well-being and symptoms across both models, with social competence being the largest predictor, followed by perceived social support and family functioning.

CONCLUSIONS: Practitioners should consider the impact of social influences on student mental health and design interventions to strengthen social competence and support.

PMID:37289975 | DOI:10.1080/07448481.2023.2217717