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Nevin Manimala Statistics

Using Social Media to Promote School Nutrition Programs During the COVID-19 Pandemic

J Sch Health. 2022 Mar 2. doi: 10.1111/josh.13151. Online ahead of print.

ABSTRACT

BACKGROUND: Millions of school-aged children receive free or reduced-price lunches through the United States Department of Agriculture’s (USDA) National School Lunch Program; that service was disrupted when public schools closed at the beginning of the coronavirus pandemic. Prior to the pandemic, this program received little attention on school districts’ social media accounts.

METHODS: We collected Twitter data from 70 Ohio public school districts to construct a measure of attention paid toward school nutrition programs from 2008 to 2021. We also collected district-level data to analyze the relationship between district characteristics and mentions of school nutrition programs.

RESULTS: We show that attention to school nutrition programs significantly increased during the pandemic. School districts with a greater student population density and greater geographic area were more likely to tweet about these programs.

CONCLUSIONS: School districts can, and should, use social media to inform residents about school nutrition programs and food security programs more generally. Social media provides a low-cost way to lessen the administrative burden for families trying to access these programs.

PMID:35234278 | DOI:10.1111/josh.13151

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Nevin Manimala Statistics

Crystallography-based exploration of non-covalent interactions for the design and synthesis of coumarin for stronger protein binding

Phys Chem Chem Phys. 2022 Mar 2. doi: 10.1039/d2cp00082b. Online ahead of print.

ABSTRACT

Protein molecules are a good target for the inhibition or promotion of biological processes. Different methods like QSAR and molecular docking have been developed to accurately design small binder molecules for target proteins. An alternative model has been developed wherein a statistical method is used to find the propensity of different non-covalent interactions between small molecules and amino acid residues of the protein. The results give hints as to the choice of substituents required at the SM to strongly bind to a protein. In this case, 75 different types of proteins bound with coumarin derivatives have been investigated and the non-covalent interactions observed between the basic coumarin moiety and amino acids have been analyzed. Density functional theory (DFT) calculations were used to identify the electronic features of coumarin to understand the feasibility of the observed non-covalent interactions and to find appropriate groups that can modulate these interactions. The binding affinity towards a protein (β-lactoglobulin (BLG)) and the stability of the protein complex have been investigated through docking and molecular dynamics of 100 ns, respectively. The modeled compounds were synthesized and investigated with regards to their interactions with the model carrier protein. The thermodynamics of the interactions were also investigated and the binding is governed by the Le Chatelier principle.

PMID:35234237 | DOI:10.1039/d2cp00082b

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Nevin Manimala Statistics

Lack of an association between SCFD1 rs10139154 polymorphism and amyotrophic lateral sclerosis

Mol Med Rep. 2022 Apr;25(4):146. doi: 10.3892/mmr.2022.12662. Epub 2022 Mar 2.

ABSTRACT

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease. Through a genome‑wide association study (GWAS), the Sec1 family domain‑containing protein 1 (SCFD1) rs10139154 variant at 14q12 has emerged as a risk factor gene for ALS. Moreover, it has been reported to influence the age at onset (AAO) of patients with ALS. The aim of the present study was to assess the association of the SCFD1 rs10139154 polymorphism with the risk of developing ALS. For this purpose, 155 patients with sporadic ALS and 155 healthy controls were genotyped for the SCFD1 rs10139154. The effect of the SCFD1 rs10139154 polymorphism was then examined on the following parameters: i) The risk of developing ALS; ii) the AAO of ALS; iii) the site of ALS onset (patients with bulbar onset ALS vs. healthy controls; and patients with limb onset ALS vs. healthy controls); and iv) the AAO of ALS onset with subgroup analyses based on the site of onset (bulbar and limb, crude and adjusted for sex). The analysis of all the outcomes was performed assuming five genetic models. Crude and adjusted analyses were applied. The threshold for statistical significance was set at 0.05. The results revealed no association between SCFD1 rs10139154 and any of the examined phenotypes in any of the models examined. On the whole, based on the findings of the present study, SCFD1 rs10139154 does not appear to play a determining role in the risk of developing ALS.

PMID:35234271 | DOI:10.3892/mmr.2022.12662

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Nevin Manimala Statistics

Combined clinical and specific positron emission tomography/computed tomography-based radiomic features and machine-learning model in prediction of thymoma risk groups

Nucl Med Commun. 2022 Mar 1. doi: 10.1097/MNM.0000000000001547. Online ahead of print.

ABSTRACT

OBJECTIVES: In this single-center study, we aimed to propose a machine-learning model and assess its ability with clinical data to classify low- and high-risk thymoma on fluorine-18 (18F) fluorodeoxyglucose (FDG) (18F-FDG) PET/computed tomography (CT) images.

METHODS: Twenty-seven patients (14 male, 13 female; mean age: 49.6 ± 10.2 years) who underwent PET/CT to evaluate the suspected anterior mediastinal mass and histopathologically diagnosed with thymoma were included. On 18F-FDG PET/CT images, the anterior mediastinal tumor was segmented. Standardized uptake value (SUV)max, SUVmean, SUVpeak, MTV and total lesion glycolysis of primary mediastinal lesions were calculated. For texture analysis first, second, and higher-order texture features were calculated. Clinical information includes gender, age, myasthenia gravis status; serum levels of lactate dehydrogenase (LDH), alkaline phosphatase, C-reactive protein, hemoglobin, white blood cell, lymphocyte and platelet counts were included in the analysis.

RESULTS: Histopathologic examination was consistent with low risk and high-risk thymoma in 15 cases and 12 cases, respectively. The age and myasthenic syndrome were statistically significant in both groups (P = 0.039 and P = 0.05, respectively). The serum LDH level was also statistically significant in both groups (450.86 ± 487.07 vs. 204.82 ± 59.04; P < 0.001). The highest AUC has been achieved with MLP Classifier (ANN) machine learning method, with a range of 0.830 then the other learning classifiers. Three features were identified to differentiate low- and high-risk thymoma for the machine learning, namely; myasthenia gravis, LDH, SHAPE_Sphericity [only for 3D ROI (nz>1)].

CONCLUSIONS: This small dataset study has proposed a machine-learning model by MLP Classifier (ANN) analysis on 18F-FDG PET/CT images, which can predict low risk and high-risk thymoma. This study also demonstrated that the combination of clinical data and specific PET/CT-based radiomic features with image variables can predict thymoma risk groups. However, these results should be supported by studies with larger dataset.

PMID:35234213 | DOI:10.1097/MNM.0000000000001547

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Nevin Manimala Statistics

Complications After Vaginal Vault Suspension Versus Minimally Invasive Sacrocolpopexy in Women With Elevated Body Mass Index: A Retrospective Cohort Study Using Data From the National Surgical Quality Improvement Program Database

Female Pelvic Med Reconstr Surg. 2022 Feb 15. doi: 10.1097/SPV.0000000000001146. Online ahead of print.

ABSTRACT

IMPORTANCE: Overweight and obese women represent a growing share of pelvic floor reconstruction surgeons’ practices. Determining perioperative risk specific to this population is essential to inform decision making regarding operative approach in this population.

OBJECTIVE: The aim of the study was to compare surgical complications among overweight and obese women undergoing apical compartment prolapse surgery by either minimally invasive abdominal or vaginal approach.

STUDY DESIGN: The American College of Surgeons National Surgical Quality Improvement Database was used to identify overweight and obese patients (body mass index ≥ 25) undergoing either minimally invasive sacrocolpopexy (MISC) or vaginal vault suspension (VVS) in the form of a sacrospinous vault fixation or uterosacral ligament fixation for pelvic organ prolapse from 2012 to 2019. Odds ratios for surgical complications, readmission, and reoperation were estimated using multivariable logistic regression.

RESULTS: Of 8,990 eligible patients, 5,851 underwent a VVS and 3,139 patients underwent MISC. There was a greater odds of any complication in the first 30 days following VVS (n = 608 [10.4%]) compared with MISC (n = 247 [7.9%]; odds ratio, 1.27; 95% confidence interval, 1.08-1.48) on multivariable analysis. Urinary tract infections (UTIs) were the most common complication and were more likely following VVS (112 (3.6%) versus 350 (6.0%), P < 0.001). When UTIs were excluded, there was no difference in complications between approaches (1.00; 95% CI, 0.82-1.22). There were no statistically significant odds of readmission, reoperation, or serious complications between approaches.

CONCLUSIONS: Vaginal vault suspension may be associated with a higher odds of any complication compared with MISC in overweight and obese women, but the rate of serious complications, readmission, and reoperation are low, and approaches were comparable when considering complications other than UTI.

PMID:35234179 | DOI:10.1097/SPV.0000000000001146

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Nevin Manimala Statistics

The Relationship Between eHealth Literacy and Self-Efficacy Levels in Midwifery Students Receiving Distance Education During the COVID-19 Pandemic

J Nurs Res. 2022 Feb 25. doi: 10.1097/jnr.0000000000000474. Online ahead of print.

ABSTRACT

BACKGROUND: During the ongoing COVID-19 pandemic period, most university courses in Turkey have been taught via distance education. Beyond knowledge of digital technologies, self-efficacy is known to affect the learning motivation and learning goals of students.

PURPOSE: This study was conducted to determine the relationship between eHealth literacy and self-efficacy levels in midwifery students receiving distance education during the current COVID-19 pandemic. The research data were collected using a literature-based questionnaire developed by the researchers, the eHealth Literacy Scale for Adolescents, and the Online Technologies Self-Efficacy Scale. The data were analyzed using IBM SPSS Statistics 25.0, with values of p < .05 considered to be significant.

METHODS: This cross-sectional study was carried out during the COVID-19 pandemic on a sample of 578 female midwifery students. Snowball sampling method was used for data collection using an online questionnaire.

RESULTS: On the basis of the results, eHealth literacy and self-efficacy levels were relatively low in students who were 20 years old or below, who were in their first year, who were from low-income families, who spent less than an hour a day on the Internet, who had a low level of satisfaction with distance education, and who wanted to continue taking theoretical courses via distance education. In addition, self-efficacy related to online technologies was shown to be relatively low in students who found Internet services to be expensive, who had Internet connection problems, and who preferred asynchronous courses. Furthermore, a significant relationship was found between eHealth literacy and self-efficacy levels for online education.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE: In the context of distance education, integrating the teaching/promotion of self-efficacy with regard to eHealth literacy and online technologies into midwifery education curriculum should better enable midwives to increase the quality of healthcare they provide and improve patient safety.

PMID:35234210 | DOI:10.1097/jnr.0000000000000474

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Nevin Manimala Statistics

Estimated Levator Ani Subtended Volume: A Predictive Biomarker for Surgical Outcomes Following Native Tissue Apical Repair

Female Pelvic Med Reconstr Surg. 2022 Mar 1. doi: 10.1097/SPV.0000000000001142. Online ahead of print.

ABSTRACT

OBJECTIVE: The aim of the study was to investigate the clinical utility of estimated levator ani subtended volume (eLASV) as a prospective preoperative biomarker for prediction of surgical outcomes.

STUDY DESIGN: This is a prospective case-control pilot study. Patients were recruited and gave consent between January 2018 and December 2020. Surgical failure was defined by composite score. The eLASV was calculated for each patient based on a previously published algorithm. Descriptive statistics, Fisher exact test, log-binomial regression, area under a receiver operating characteristics, Bland-Altman plot, Lin coefficient, and κ coefficient were all performed for analysis.

RESULTS: Fifty-one patients gave consent, 31 completed preoperative magnetic resonance imaging, 27 underwent surgery (uterosacral ligament suspension), and 19 followed up for 1-year examination. Five patients (26.3%) were defined as surgical failure with median eLASV volume of 57.0 (interquartile range, 50.1-66.2). Fourteen patients (73.7%) were defined as surgical success with median eLASV of 28.2 (interquartile range, 17.2-24.3). Eighty percent of the surgical failure group (4/5) had elevated volume of eLASV, where only 14.3% of the success group (2/14) had an elevated volume (P = 0.0173). No confounders were found and unadjusted log-binomial regression suggested that patients with a high eLASV were 8.7 (95% confidence interval, 1.2-61.9) times more likely to experience surgical failure compared with those with low eLASV. The c-statistic (area under a receiver operating characteristics) was high at 0.829 along with Lin concordance coefficient of 0.949 (95% confidence interval, 0.891-0.977) for continuous data between the 2 interrater observer teams.

CONCLUSIONS: In this small prospective pilot study, patients with elevated eLASV on a preoperative pelvic magnetic resonance imaging were associated with an increased risk for surgical failure at 1 year regardless of age, body mass index, stage, or parity.CLINICAL TRIAL REGISTRATION:ClinicalTrials.gov, NCT03534830.

PMID:35234178 | DOI:10.1097/SPV.0000000000001142

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Nevin Manimala Statistics

Integration of the 5As Nicotine Cessation Framework in a Primary Care Clinic

J Nurs Care Qual. 2022 Feb 28. doi: 10.1097/NCQ.0000000000000622. Online ahead of print.

ABSTRACT

BACKGROUND: Nicotine causes significant morbidity and mortality. Many adults who want to quit using nicotine may not be receiving adequate support from their primary care providers. If used properly, the 5As nicotine cessation guidelines may help patients address their nicotine use.

LOCAL PROBLEM: Smokers screened for tobacco use at a primary care clinic were not consistently offered evidence-based interventions using the 5As at each primary care encounter.

METHODS: The 5As framework was presented to providers via PowerPoint presentation and printed materials. Provider and patient behaviors were measured using data from pre- and postintervention chart reviews.

RESULTS: There was a statistically significant postintervention increase in the proportion of smokers who received the 5As components (P < .001). Patients’ nicotine use decreased post-intervention.

CONCLUSION: Results suggest that the intervention increased providers’ knowledge and use of the 5As, which helped patients reduce their nicotine use.

PMID:35234174 | DOI:10.1097/NCQ.0000000000000622

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Nevin Manimala Statistics

Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists

Crit Care Med. 2022 Mar 2. doi: 10.1097/CCM.0000000000005517. Online ahead of print.

ABSTRACT

OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we aim to: 1) systematically search and identify all publicly available adult clinical ICU datasets, 2) compare their characteristics, data quality, and richness and critically appraise their strengths and weaknesses, and 3) provide researchers with suggestions, which datasets are appropriate for answering their clinical question.

DATA SOURCES: A systematic search was performed in Pubmed, ArXiv, MedRxiv, and BioRxiv.

STUDY SELECTION: We selected all studies that reported on publicly available adult patient-level intensive care datasets.

DATA EXTRACTION: A total of four publicly available, adult, critical care, patient-level databases were included (Amsterdam University Medical Center data base [AmsterdamUMCdb], eICU Collaborative Research Database eICU CRD], High time-resolution intensive care unit dataset [HiRID], and Medical Information Mart for Intensive Care-IV). Databases were compared using a priori defined categories, including demographics, patient characteristics, and data richness. The study protocol and search strategy were prospectively registered.

DATA SYNTHESIS: Four ICU databases fulfilled all criteria for inclusion and were queried using SQL (PostgreSQL version 12; PostgreSQL Global Development Group) and analyzed using R (R Foundation for Statistical Computing, Vienna, Austria). The number of unique patient admissions varied between 23,106 (AmsterdamUMCdb) and 200,859 (eICU-CRD). Frequency of laboratory values and vital signs was highest in HiRID, for example, 5.2 (±3.4) lactate values per day and 29.7 (±10.2) systolic blood pressure values per hour. Treatment intensity varied with vasopressor and ventilatory support in 69.0% and 83.0% of patients in AmsterdamUMCdb versus 12.0% and 21.0% in eICU-CRD, respectively. ICU mortality ranged from 5.5% in eICU-CRD to 9.9% in AmsterdamUMCdb.

CONCLUSIONS: We identified four publicly available adult clinical ICU datasets. Sample size, severity of illness, treatment intensity, and frequency of reported parameters differ markedly between the databases. This should guide clinicians and researchers which databases to best answer their clinical questions.

PMID:35234175 | DOI:10.1097/CCM.0000000000005517

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Nevin Manimala Statistics

Comparison of ultrasonographic characteristics of deep abdominal muscles in women with and without chronic neck pain: a case-control study

J Musculoskelet Neuronal Interact. 2022 Mar 1;22(1):52-61.

ABSTRACT

OBJECTIVES: To compare ultrasonography (USG) parameters of deep abdominal muscles (transversus abdominis-TrA, internal obliques-IO) between women with and without chronic neck pain (CNP).

METHODS: Women with CNP (n=18; mean-age=37.7 years; mean-BMI=22.7 kg/m2) and asymptomatic individuals (n=18; mean-age=36.1 years; mean-BMI=21.8 kg/m2) participated in the study. The activation of the deep neck flexors (ADNF) was measured using cranio-cervical flexion test. Muscle thickness, changes in thickness (ΔT), and contraction ratio (CR) of deep abdominal muscles were evaluated by ultrasonography device in two conditions: standard-protocol and during ADNF. For each condition, ultrasound image of abdominal muscles was captured at rest and during abdominal draw-in manoeuvre (ADIM).

RESULTS: Comparative statistics revealed no significant difference between groups regarding ultrasonography parameters in the standard-protocol (p>0.05). Besides, there was no difference in the CR of TrA and IO between groups in the two conditions. However, women with CNP showed less muscle thickness of TrAADIM during ADNF than the asymptomatic participants (p<0.05). The CNP group also had decreased ΔT of TrA(ADIM-rest) during ADNF compared to the asymptomatic group (p<0.05).

CONCLUSIONS: The ultrasonography parameters of TrA suggest that motor control in the lumbar region is altered in women with CNP. The combination of cervical stabilization exercises with ADIM can be a novel strategy in the treatment of CNP.

PMID:35234159