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Effect of perfusate volume on amikacin concentrations after saphenous intravenous regional limb perfusion in standing, sedated horses

Vet Surg. 2022 Mar 2. doi: 10.1111/vsu.13789. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine the influence of perfusate volume on synovial fluid amikacin concentrations in the joints of the hind limb after standing saphenous intravenous regional limb perfusion (IVRLP).

STUDY DESIGN: Randomized crossover design.

ANIMALS: Six adult horses.

METHODS: Saphenous IVRLP was performed in 6 standing horses with 1 g of amikacin diluted with 0.9% NaCl to volumes of 10 ml, 60 ml, and 120 ml. Samples of synovial fluid from the tarsocrural, metatarsophalangeal, and hind limb distal interphalangeal joints were collected at 15 and 30 min after perfusate administration. Concentrations of 40 μg/ml and 160 μg/ml were considered therapeutic for susceptible and resistant pathogens, respectively.

RESULTS: No difference in synovial fluid amikacin concentrations was detected between volumes in any joint (P = .4). All synovial fluid amikacin concentrations were higher at 30 min compared to 15 min (P = .003). All median synovial fluid amikacin concentrations at 30 min were > 40 μg/ml using the 60 ml and 120 ml volumes. Synovial fluid amikacin concentrations >40 μg/ml were only reached in the hind limb distal interphalangeal joint when the 10 ml volume was used. All median synovial fluid amikacin concentrations observed were < 160 μg/ml.

CONCLUSIONS: Target concentrations for pathogens that were considered susceptible were consistently reached with perfusate volumes of 60 ml and 120 ml. However, median synovial fluid amikacin concentrations did not reach target levels for resistant pathogens.

CLINICAL SIGNIFICANCE: Perfusate volumes of 60 ml or 120 ml are recommended to treat infections due to susceptible pathogens in the joints of the distal hind limb. These results justify investigation of saphenous IVRLP with different perfusate volumes using higher doses of amikacin.

PMID:35234300 | DOI:10.1111/vsu.13789

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The Impact of COVID-19 on Adolescent Wellness in Chicago

Child Care Health Dev. 2022 Mar 1. doi: 10.1111/cch.12994. Online ahead of print.

ABSTRACT

PURPOSE: This study aimed to understand the impact of the initial COVID-19 pandemic remote schooling period on self-reported wellness among adolescents in Chicago.

METHODS: Students (n=55) completed a 22-item wellness questionnaire before (February 2020) and shortly after the onset of the COVID-19 outbreak (April 2020). Pre/post comparisons (overall and by survey item) were evaluated using two-sided paired t-tests with an alpha level of 0.05. Descriptive statistics were used to evaluate mean scores overall by demographic variables.

RESULTS: Significant differences were found in the following areas: Balance (Pre: 7.3, During: 6.4, p=0.02), Education (Pre: 8.4, During 7.7, p=0.03) and Friends (Pre:8.0, During: 6.3, p=0.001). Overall wellness scores varied by demographic variables, though not significantly.

CONCLUSIONS: Results suggest the onset of the pandemic impacted students’ ability to effectively learn, as well as to maintain balance in their lives and social relationships. Comprehensive support is needed in these areas to promote adolescent wellness.

PMID:35234301 | DOI:10.1111/cch.12994

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COVID-19 in pregnancy-what study designs can we use to assess the risk of congenital anomalies in relation to COVID-19 disease, treatment and vaccination?

Paediatr Perinat Epidemiol. 2022 Mar 2. doi: 10.1111/ppe.12840. Online ahead of print.

ABSTRACT

BACKGROUND: The COVID-19 pandemic has accelerated pregnancy outcome research, but little attention has been given specifically to the risk of congenital anomalies (CA) and first trimester exposures.

OBJECTIVES: We reviewed the main data sources and study designs used internationally, particularly in Europe, for CA research, and their strengths and limitations for investigating COVID-19 disease, medications and vaccines.

POPULATION: We classify research designs based on four data sources: a) spontaneous adverse event reporting, where study subjects are positive for both exposure and outcome, b) pregnancy exposure registries, where study subjects are positive for exposure, c) congenital anomaly registries, where study subjects are positive for outcome and d) population healthcare data where the entire population of births is included, irrespective of exposure and outcome.

STUDY DESIGN: Each data source allows different study designs, including case series, exposed pregnancy cohorts (with external comparator), ecological studies, case-control studies and population cohort studies (with internal comparator).

METHODS: The quality of data sources for CA studies is reviewed in relation to criteria including diagnostic accuracy of CA data, size of study population, inclusion of terminations of pregnancy for foetal anomaly, inclusion of first trimester COVID-19-related exposures and use of an internal comparator group. Multinational collaboration models are reviewed.

RESULTS: Pregnancy exposure registries have been the main design for COVID-19 pregnancy studies, but lack detail regarding first trimester exposures relevant to CA, or a suitable comparator group. CA registries present opportunities for improving diagnostic accuracy in COVID-19 research, especially when linked to other data sources. Availability of inpatient hospital medication use in population healthcare data is limited. More use of ongoing mother-baby linkage systems would improve research efficiency. Multinational collaboration delivers statistical power.

CONCLUSIONS: Challenges and opportunities exist to improve research on CA in relation to the COVID-19 pandemic and future pandemics.

PMID:35234297 | DOI:10.1111/ppe.12840

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Pharmacotherapy for post traumatic stress disorder (PTSD)

Cochrane Database Syst Rev. 2022 Mar 2;3:CD002795. doi: 10.1002/14651858.CD002795.pub3.

ABSTRACT

BACKGROUND: Posttraumatic stress disorder (PTSD) is a prevalent and disabling disorder. Evidence that PTSD is characterised by specific psychobiological dysfunctions has contributed to a growing interest in the use of medication in its treatment.

OBJECTIVES: To assess the effects of medication for reducing PTSD symptoms in adults with PTSD.

SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL; Issue 11, November 2020); MEDLINE (1946-), Embase (1974-), PsycINFO (1967-) and PTSDPubs (all available years) either directly or via the Cochrane Common Mental Disorders Controlled Trials Register (CCMDCTR). We also searched international trial registers. The date of the latest search was 13 November 2020.

SELECTION CRITERIA: All randomised controlled trials (RCTs) of pharmacotherapy for adults with PTSD.

DATA COLLECTION AND ANALYSIS: Three review authors (TW, JI, and NP) independently assessed RCTs for inclusion in the review, collated trial data, and assessed trial quality. We contacted investigators to obtain missing data. We stratified summary statistics by medication class, and by medication agent for all medications. We calculated dichotomous and continuous measures using a random-effects model, and assessed heterogeneity.

MAIN RESULTS: We include 66 RCTs in the review (range: 13 days to 28 weeks; 7442 participants; age range 18 to 85 years) and 54 in the meta-analysis. For the primary outcome of treatment response, we found evidence of beneficial effect for selective serotonin reuptake inhibitors (SSRIs) compared with placebo (risk ratio (RR) 0.66, 95% confidence interval (CI) 0.59 to 0.74; 8 studies, 1078 participants), which improved PTSD symptoms in 58% of SSRI participants compared with 35% of placebo participants, based on moderate-certainty evidence. For this outcome we also found evidence of beneficial effect for the noradrenergic and specific serotonergic antidepressant (NaSSA) mirtazapine: (RR 0.45, 95% CI 0.22 to 0.94; 1 study, 26 participants) in 65% of people on mirtazapine compared with 22% of placebo participants, and for the tricyclic antidepressant (TCA) amitriptyline (RR 0.60, 95% CI 0.38 to 0.96; 1 study, 40 participants) in 50% of amitriptyline participants compared with 17% of placebo participants, which improved PTSD symptoms. These outcomes are based on low-certainty evidence. There was however no evidence of beneficial effect for the number of participants who improved with the antipsychotics (RR 0.51, 95% CI 0.16 to 1.67; 2 studies, 43 participants) compared to placebo, based on very low-certainty evidence. For the outcome of treatment withdrawal, we found evidence of a harm for the individual SSRI agents compared with placebo (RR 1.41, 95% CI 1.07 to 1.87; 14 studies, 2399 participants). Withdrawals were also higher for the separate SSRI paroxetine group compared to the placebo group (RR 1.55, 95% CI 1.05 to 2.29; 5 studies, 1101 participants). Nonetheless, the absolute proportion of individuals dropping out from treatment due to adverse events in the SSRI groups was low (9%), based on moderate-certainty evidence. For the rest of the medications compared to placebo, we did not find evidence of harm for individuals dropping out from treatment due to adverse events.

AUTHORS’ CONCLUSIONS: The findings of this review support the conclusion that SSRIs improve PTSD symptoms; they are first-line agents for the pharmacotherapy of PTSD, based on moderate-certainty evidence. The NaSSA mirtazapine and the TCA amitriptyline may also improve PTSD symptoms, but this is based on low-certainty evidence. In addition, we found no evidence of benefit for the number of participants who improved following treatment with the antipsychotic group compared to placebo, based on very low-certainty evidence. There remain important gaps in the evidence base, and a continued need for more effective agents in the management of PTSD.

PMID:35234292 | DOI:10.1002/14651858.CD002795.pub3

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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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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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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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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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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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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