Nevin Manimala

Public Health. 2021 Sep 24;199:87-95. doi: 10.1016/j.puhe.2021.07.011. Online ahead of print.

ABSTRACT

OBJECTIVES: Safe blood transfusion plays an important role in the prevention of transfusion-transmissible infections, and hepatitis C virus (HCV) infection is one of the major problems associated with this procedure. This meta-analysis aimed to determine the prevalence of HCV infection in Chinese blood donors.

STUDY DESIGN: The study design of this study is a meta-analysis.

METHODS: Eligible studies were retrieved from PubMed, Embase, China National Knowledge Infrastructure, China Science and Technology Journal Database and Wanfang literature databases from 2010 to 2020. The effect measure was presented as HCV prevalence with a 95% confidence interval (CI). Q test was used to assess the heterogeneity, and the I² statistics was determined to decide whether a random effects model or a fixed effects model should be used as the pooling method. Subgroup analyses were also conducted.

RESULTS: A total of 62 eligible studies, including 9,007,220 HCV blood donors, were analysed. Of the total blood donors, 35,017 were infected with HCV. The pooled HCV prevalence was 0.415% (95% CI: 0.371-0.458). The subgroup analysis revealed that the prevalence of positivity to anti-HCV antibodies was significantly different in each year (P < 0.05). However, no significant difference was observed in HCV prevalence in terms of sex. Moreover, the prevalence of positivity to anti-HCV was remarkably higher in first-time blood donors than in repeat blood donors (P < 0.05), and the rate of HCV infection among university students was significantly lower than that among soldiers (P < 0.05).

CONCLUSIONS: The rate of HCV infection showed a downward trend from 2010 to 2014, increased in 2015-2016, and finally decreased in 2017-2018. Thus, the prevalence of HCV infection has decreased in Chinese blood donors after comprehensive prevention and treatment.

PMID:34571442 | DOI:10.1016/j.puhe.2021.07.011

Food Chem. 2021 Sep 13;371:131113. doi: 10.1016/j.foodchem.2021.131113. Online ahead of print.

ABSTRACT

Determining the geographical origin of wines is a major challenge in wine authentication, but little information is available regarding non-parametric statistical approaches for wines. In this study, we collected 33 domestic Chardonnay wines vinified on a small scale from grapes cultivated in Japan, and 42 Chardonnay wines imported from 8 countries, for oxygen stable isotope and multi-element analyses. Non-metric multidimensional scaling (NMDS), kernel principal component analysis (KPCA) and principal component analysis (PCA) were applied to the oxygen stable isotopic compositions (δ¹⁸O) and the concentrations of 18 elements in the wines to compare the extractions by parametric and non-parametric methods. The non-parametric methods, NMDS and KPCA, separated domestic from imported Chardonnay wines better than the parametric method, PCA. Of 19 variables, 18 were important for geographical discrimination, with the δ¹⁸O value being the most significant in all statistic methods. Non-parametric multivariate analyses will help discriminate domestic from imported Chardonnay wines.

PMID:34571407 | DOI:10.1016/j.foodchem.2021.131113

Mar Pollut Bull. 2021 Sep 24;173(Pt A):112989. doi: 10.1016/j.marpolbul.2021.112989. Online ahead of print.

ABSTRACT

The principal objective of this study is to assess the saltwater intrusion and hydrogeochemical processes that affect groundwater geochemistry in the coastal aquifers of southwestern India. Groundwater samples were collected seasonally and the physico-chemical parameters determined on-site. Major ions were determined in the laboratory. Hydrochemical diagrams, ionic ratios, and multivariate statistical analysis were adopted for understanding the groundwater chemistry. Gibbs plot identified that rock-water interaction and evaporation were the mechanisms regulating hydrogeochemistry. Ionic ratios have shown that coastal wells were contaminated with saltwater intrusion during the pre-monsoon season. Hierarchical cluster analysis classified the samples based on their quality; sample clusters with high NO₃^– were in densely populated areas, whereas sample clusters with moderate salt content in the coastal areas. Another cluster showed high concentrations of salts, typically the zones of saltwater intrusion. The study concludes that influence of seasons, geogenic and anthropogenic factors contribute to the heterogeneous chemistry of groundwater.

PMID:34571386 | DOI:10.1016/j.marpolbul.2021.112989

J Biomech. 2021 Sep 22;129:110757. doi: 10.1016/j.jbiomech.2021.110757. Online ahead of print.

ABSTRACT

In infancy, plantar pressure data during walking has been investigated through regional approaches, whilst the use pedobarographic Statistical Parametric Mapping (pSPM) has not been reported. Analysis of pressure data using pSPM is higher in resolution and can enhance understanding of foot function development, providing novel insights into plantar pressure changes. This work aims to detail the implementation of the pSPM data processing framework on infants’ pressure data, comparing plantar pressure patterns between new and confident walking steps. Twelve infants walked across an EMED- xl platform. Steps were extracted and imported into MATLAB for analysis. Maximum pressure pictures were transformed to point clouds and registered within and between participants with iterative closest point and coherent point drift algorithms, respectively. Root mean square error (RMSE) was calculated within both registrations as a quality measure. Pressure patterns were compared between new and confident walking using nonparametric-paired sample SPM1D t-test. RMSEs were under 1 mm for both registration algorithms. In the transition to confident walking, significantly increasing pressure was detected in the left central forefoot. Implementing pSPM to infants’ pressure data was non-trivial, as several phases of data processing were required to ensure a robust approach. Our analysis highlighted the presence of significant changes in pressure in central left forefoot after 2.2 months of walking, which have not been reported before. This can be explained as previous regional approaches in infancy considered the forefoot as whole, preventing detection of changes in discrete anatomical regions.

PMID:34571379 | DOI:10.1016/j.jbiomech.2021.110757

EBioMedicine. 2021 Sep 24;72:103590. doi: 10.1016/j.ebiom.2021.103590. Online ahead of print.

ABSTRACT

BACKGROUND: Easily accessible biomarkers enabling the identification of those patients with multiple sclerosis (MS) who will accumulate irreversible disability in the long term are essential to guide early therapeutic decisions. We here examine the utility of serum neurofilament light chain (sNfL) for forecasting relapse-free disability progression and conversion to secondary progressive MS (SPMS) in the prospective Neurofilamentandlongtermoutcome inMS (NaloMS) cohort.

METHODS: The predictive ability of sNfL at Baseline and sNfL follow-up (FU)/ Baseline (BL) ratio with regard to disability progression was assessed within a development cohort (NaloMS, n=196 patients with relapsing-remitting MS (RRMS) or clinically isolated syndrome) and validated with an external independent cohort (Düsseldorf, Essen, n=204). Both relapse-free EDSS-progression (RFP: inflammatory-independent EDSS-increase 12 months prior to FU) and SPMS-transition (minimum EDSS-score of 3.0) were investigated.

FINDINGS: During the study period, 17% (n=34) of NaloMS patients suffered from RFP and 14% (n=27) converted to SPMS at FU (validation cohort RFP n=42, SPMS-conversion n=24). sNfL at BL was increased in patients with RFP (10.8 pg/ml (interquartile range (IQR) 7.7-15.0) vs. 7.2 pg/ml (4.5-12.5), p<0.017). In a multivariable logistic regression model, increased sNfL levels at BL (Odds Ratio (OR) 1.02, 95% confidence interval (CI) 1.01-1.04, p=0.012) remained an independent risk factor for RFP and predicted individual RFP risk with an accuracy of 82% (NaloMS) and 83% (validation cohort) as revealed by support vector machine. In addition, the sNfL FU/BL ratio was increased in SPMS-converters (1.16 (0.89-1.70) vs. 0.96 (0.75-1.23), p=0.011). This was confirmed by a multivariable logistic regression model, as sNfL FU/BL ratio remained in the model (OR 1.476, 95%CI 1.078-2,019, p=0.015) and individual sNfL FU/BL ratios showed a predictive accuracy of 72% in NaloMS (63% in the validation cohort) as revealed by machine learning.

INTERPRETATION: sNfL levels at baseline predict relapse-free disability progression in a prospective longitudinal cohort study 6 years later. While prediction was confirmed in an independent cohort, sNfL further discriminates patients with SPMS at follow-up and supports early identification of patients at risk for later SPMS conversion.

FUNDING: This work was supported by the German Research Council (CRC-TR-128), Else Kröner Fresenius Foundation and Hertie-Stiftung.

PMID:34571362 | DOI:10.1016/j.ebiom.2021.103590

Diabetes Metab Syndr. 2021 Sep 23;15(6):102297. doi: 10.1016/j.dsx.2021.102297. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: India officially launched the world’s biggest COVID-19 vaccination drive on January 16, 2021, operating 3006 vaccination sites at the beginning. At present 21872 sites conducting vaccination as on August 24, 2021. The process of vaccination is not yet mandatory in India. Vaccination is conducted free of cost at 20242 Government sites and paid at 1630 private sites. This study involves Hypothesis Testing for analyzing the gender disparities towards COVID-19 vaccination.

METHODS: For this study, we have used Maharashtra States district wise COVID-19 vaccination data. Using Hypothesis Testing method Pearson’s Chi-square test for independence compares two variables gender disparities and vaccination in a contingency table to see if they are related. To test the Effect size of gender disparities is small, medium or large Cohen Cramer’s rule is used.

RESULTS: Our result shows that, just 84 women were vaccinated for every 100 men in Maharashtra State, India. This ratio is even lower than India’s gender ratio i.e. 90:100. Men were more aware and ahead of women in COVID-19 Vaccination Drive. Effect size shows that size of gender disparities is small.

CONCLUSION: As per the result it is seen that COVID-19 Vaccination awareness is slightly less amongst the women in Maharashtra, India. To improve this statistics of COVID-19 Vaccination, Authorities should start the awareness campaign amongst the citizen towards the importance of vaccination.

PMID:34571358 | DOI:10.1016/j.dsx.2021.102297

Diagn Microbiol Infect Dis. 2021 Aug 24;101(4):115519. doi: 10.1016/j.diagmicrobio.2021.115519. Online ahead of print.

ABSTRACT

To improve laboratory safety we thermally treated naso-oropharyngeal samples before testing with the cobas SARS-CoV-2 assay. This study aimed to determine if thermal treatment significantly affects the qualitative detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the quantitative measurement of cobas SARS-CoV-2 ORF1a and E-gene target copy number using an in-house quantitative method. A collection of positive (n = 238) and negative samples (n = 196) was tested in parallel comparing thermal treatment (75 °C for 15 minutes) to room-temperature. There were no significant differences in the final qualitative outcomes for thermal treatment versus room-temperature (99.8% agreement) despite a statistically significant reduction (P < 0.05) in target copy number following thermal treatment. The median ORF1a and E-gene reduction in target copy number was -0.07 (1.6%) and -0.22 (4.2%) log₁₀ copies/mL respectively. The standard curves for both ORF1a and E-gene targets were highly linear (r² = 0.99). Good correlation was observed for ORF1a (r² = 0.96) and E-gene (r² = 0.98) comparing thermal treatment to room-temperature control.

PMID:34571354 | DOI:10.1016/j.diagmicrobio.2021.115519

J Colloid Interface Sci. 2021 Sep 13;607(Pt 2):1142-1152. doi: 10.1016/j.jcis.2021.09.057. Online ahead of print.

ABSTRACT

HYPOTHESIS: Delivery of multiple payloads using the same micelle is of significance to achieve multifunctional or synergistic effects. The interacting distribution of different payloads in micelles is expected to influence the loading stability and capacity. It is highly desirable to explore how intermolecular interactions affect the joint distribution of multi-payloads.

EXPERIMENTS: Dissipative Particle Dynamics simulations were performed to probe the loading of three payloads: decane with a linear carbon chain, butylbenzene with an aromatic ring connected to carbon chain, and naphthalene with double aromatic rings, within poly(β-amino ester)-b-poly(ethylene glycol) micelles. Properties of core-shell micelles, e.g., morphological evolution, radial density distribution, mean square displacement, and contact statistics, were analyzed to reveal payloads loading stability and capacity. Explorations were extended to vesicular, multi-compartment, double helix, and layer-by-layer micelles with more complex inner structures.

FINDINGS: Different payloads have their own preferred locations. Decane locates at the hydrophilic/hydrophobic interface, butylbenzene occupies both the hydrophilic/hydrophobic interface and the hydrophobic core, while naphthalene enters the hydrophobic core. More efficient delivery of multi-payloads is achieved since the competition of payloads occupying preferred locations is minimized. The fusion of micelles encapsulating different payloads suggests that specific payloads will move to their preferred positions without interfering other payloads.

PMID:34571301 | DOI:10.1016/j.jcis.2021.09.057

Ann Hepatol. 2021 Sep 24:100543. doi: 10.1016/j.aohep.2021.100543. Online ahead of print.

ABSTRACT

INTRODUCTION AND OBJECTIVES: The EncephalApp Stroop Test was developed to more easily diagnose minimal hepatic encephalopathy (MHE). A cut-off of >274.9sec (ONtime+OFFtime) reached a 78% sensitivity and 90% specificity in the validation study, but it has been poorly studied in Brazil. We aim to analyze the usefulness of this diagnostic method and to describe a cut-off value to screen MHE in Brazil.

METHODS: In this cross-sectional and single-center study, three positive psychometric tests defined the diagnosis of MHE as the gold standard. We evaluated gender, age, education, familiarity with smartphones, etiology of cirrhosis, Child-Pugh/MELD scores, and previous hepatic encephalopathy (HE). Healthy controls and patients without HE were compared for the task validation. The Chi-square and Mann-Whitney tests, logistic regression analysis, and ROC curves were used for statistical evaluation.

RESULTS: We included 132 patients with cirrhosis (61% male) and 42 controls (62% male) around 51y. Sixty-three were diagnosed with MHE on psychometric tests and 23 had clinical HE. Viral hepatitis (38%) was the major etiology of cirrhosis. The median MELD was 10 and Child-Pugh A was more frequent (70%). There was no significant difference in test results between controls and patients without HE. There was also no influence of gender, age, education, and familiarity with smartphones in the test results. Child-Pugh A was associated with MHE (p=0.0106). A cut-off of >269.8sec (ONtime+OFFtime) had an 87% sensitivity and 77% specificity to detect MHE (p=0.002).

CONCLUSION: This is a valid and reliable tool for screening MHE. However, optimal cut-off values need to be validated locally.

PMID:34571266 | DOI:10.1016/j.aohep.2021.100543

J Surg Res. 2021 Sep 24;269:171-177. doi: 10.1016/j.jss.2021.08.017. Online ahead of print.

ABSTRACT

BACKGROUND: There is a wide range of social media adoption within medical specialties. The use of social media by endocrine surgeons has not been investigated. We undertook this study to describe the use of social media and other platforms by endocrine surgeons.

MATERIALS AND METHODS: The American Association of Endocrine Surgeons’ publicly available website was used to identify practicing endocrine surgeons in the United States. Surgeon demographics and practice characteristics were collected via internet query. Five social media platforms (Facebook, Instagram, Twitter, LinkedIn, YouTube) were investigated for professional accounts. The presence of a non-institutional professional website, an active Healthgrades account, and presence in non-institutional YouTube videos were also queried. One point was assigned for presence on each of the eight platforms. A professional internet presence (PIP) score was calculated. Descriptive statistics were performed on PIP scores to evaluate the relationship between surgeon and practice characteristics and PIP score.

RESULTS: A total of 417 endocrine surgeons were studied. LinkedIn (222, 53.2%) and Twitter (110, 26.4%) were the most commonly used platforms. PIP scores were categorized into zero, one, two, and three or more accounts; 26.9% of surgeons had no professional internet presence. Academic surgeons had a significantly different PIP score than community-based surgeons (P < 0.01). There was no significant association between PIP score and surgeon sex, geographic regions, rural versus urban settings, and years of experience.

CONCLUSIONS: Self-identified US endocrine surgeons have low professional internet presence. Endocrine surgeons may consider bolstering their professional internet presence to disseminate medical information.

PMID:34571260 | DOI:10.1016/j.jss.2021.08.017