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Nevin Manimala Statistics

The ‘sugar tax’ in Bermuda: a mixed methods study of general population and key stakeholder perceptions

BMC Public Health. 2022 Aug 16;22(1):1557. doi: 10.1186/s12889-022-13945-9.

ABSTRACT

BACKGROUND: Taxes on discretionary foods and sugar-sweetened beverages have emerged as a strategy for health promotion. Between 2018-2019, the Bermuda government introduced a phased tax on imported sugar-sweetened beverages, confectionery, products containing cocoa and pure sugar, and eliminated import duties on select healthy food items. The aim of this study was to conduct an mixed methods evaluation of perceptions of the tax among the general population and key stakeholders.

METHODS: We conducted a survey of the general population (N = 400), and semi-structured interviews with key informants (N = 14) from the government, food and beverage, and health sectors to understand awareness, acceptability, and perceived impact of the tax after implementation. Survey data was analysed using thematic analysis, summary statistics, and Chi-squared tests. Key informant interviews were analysed using the framework method.

RESULTS: General population respondents had high awareness of the sugar tax (94%) but low awareness of the healthy food subsidy (32%). Most respondents (67%) felt the tax was not an appropriate way to motivate healthier consumption due to beliefs the tax would not be effective (44%), and because of the high price of healthy food (20%). However, nearly half (48%) reported consuming fewer taxed products, primarily for health reasons but also motivated by price increases. Key informants indicated there was high awareness but limited understanding of the tax policy. Informants expressed support for taxation as a health promotion strategy, conditional on policy implementation. The lack of clear price differentiation between taxed and un-taxed products and the absence of accompanying health education were key factors believed to affect the impact of the tax. No informants were aware of use of tax revenues for health purposes and tax revenue was reportedly re-directed to other priorities after implementation.

CONCLUSIONS: There was high awareness, but limited acceptability of the Bermuda sugar tax as implemented. Clarity in the tax policy, appropriateness of the tax mechanism, and use of revenue in alignment with the tax aim are critical components for acceptance. The absence of complementary education and health promotion affected acceptance and may limit potential health impacts. The lessons learned in Bermuda can inform similar policies in other settings.

PMID:35974346 | DOI:10.1186/s12889-022-13945-9

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Nevin Manimala Statistics

Sedative effect of remimazolam combined with alfentanil in colonoscopic polypectomy: a prospective, randomized, controlled clinical trial

BMC Anesthesiol. 2022 Aug 16;22(1):262. doi: 10.1186/s12871-022-01805-3.

ABSTRACT

BACKGROUND: Remimazolam is a newer benzodiazepine with properties of rapid onset, short duration of action, and fast recovery. Our study was to evaluate the effects of different doses of remimazolam combined with alfentanil in colonoscopic polypectomy.

METHODS: One hundred twenty patients were randomly divided into four groups: alfentanil and propofol (AP) group, alfentanil and remimazolam 0.1 mg/kg (AR1 group), 0.15 mg/kg (AR2 group), or 0.2 mg/kg (AR3 group). Patients in the four groups received alfentanil 10 μg/kg, followed by propofol 2 mg/kg and three dosages of remimazolam. Modified Observer’s Assessment of Alertness and Sedation (MOAA/S) scale, heart rate (HR), oxygen saturation (SpO2), respiratory rate (RR), bispectral index (BIS) values and mean arterial pressure (MAP) were collected at intervals of 5 min and analyzed at different time points: before anesthesia (T0), 5 min (T1), 10 min (T2), 15 min after anesthesia (T3) and at the end of surgery (T4). The average MAP was calculated utilizing the average of all MAP values. The primary outcome was the success rate of sedation. Secondary outcomes included time to full alert and adverse events.

RESULTS: The success rate of sedation was 100% among the four groups. The incidence of hypotension was significantly decreased (all P < 0.05) and the average MAP was higher in AR1-AR3 groups than AP group (all P < 0.001). None of the patients developed bradycardia or hypertension during surgery in all study groups. BIS values were higher (all P < 0.001) and the time to full alert was statistically shorter in AR1-AR3 groups (all P < 0.05) compared with the AP group. The MOAA/S score in AR1 was higher than AR2 (P < 0.05) and the AR3 group (P < 0.05) at T1 and BIS values in the AR1 group were significantly higher than AR3 group (P < 0.05) at T4.

CONCLUSIONS: Remimazolam combined with alfentanil have a non-inferior sedative effect than propofol during the colonoscopic polypectomy. Moreover, this combination of two short-acting drugs might be a safer alternative.

TRIAL REGISTRATION: The clinical trial was registered on (16/05/2021, ChiCTR2100046492).

PMID:35974309 | DOI:10.1186/s12871-022-01805-3

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Nevin Manimala Statistics

Statistical evidence for the presence of trajectory in single-cell data

BMC Bioinformatics. 2022 Aug 16;23(Suppl 8):340. doi: 10.1186/s12859-022-04875-9.

ABSTRACT

BACKGROUND: Cells progressing from an early state to a developed state give rise to lineages in cell differentiation. Knowledge of these lineages is central to developmental biology. Each biological lineage corresponds to a trajectory in a dynamical system. Emerging single-cell technologies such as single-cell RNA sequencing can capture molecular abundance in diverse cell types in a developing tissue. Many computational methods have been developed to infer trajectories from single-cell data. However, to our knowledge, none of the existing methods address the problem of determining the existence of a trajectory in observed data before attempting trajectory inference.

RESULTS: We introduce a method to identify the existence of a trajectory using three graph-based statistics. A permutation test is utilized to calculate the empirical distribution of the test statistic under the null hypothesis that a trajectory does not exist. Finally, a p-value is calculated to quantify the statistical significance for the presence of trajectory in the data.

CONCLUSIONS: Our work contributes new statistics to assess the level of uncertainty in trajectory inference to increase the understanding of biological system dynamics.

PMID:35974302 | DOI:10.1186/s12859-022-04875-9

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Nevin Manimala Statistics

The Efficacy and Safety of New-Generation Intense Pulsed Light in the Treatment of Meibomian Gland Dysfunction-Related Dry Eye: A Multicenter, Randomized, Patients-Blind, Parallel-Control, Non-Inferiority Clinical Trial

Ophthalmol Ther. 2022 Aug 16. doi: 10.1007/s40123-022-00556-1. Online ahead of print.

ABSTRACT

INTRODUCTION: This study aimed to evaluate the efficacy and safety of a new-generation intense pulsed light (IPL) device in improving the symptoms and signs of meibomian gland dysfunction (MGD)-related dry eye, and compare it with a traditional IPL device.

METHODS: This multicenter randomized controlled trial enrolled 132 patients with MGD-related dry eye from two centers. Patients were randomly assigned into the new-generation IPL (Eyesis) group or traditional IPL (E-Eye) group, and then blinded to receive treatment on days 0 and 7. Ocular Surface Disease Index (OSDI), tear meniscus height (TMH), tear breakup time (TBUT), corneal fluorescein staining (CFS), Schirmer test, and meibomian gland signs were evaluated on days 0, 7, and 14. The primary outcome was defined as the effective rate of treating MGD at day 14. Any adverse events were recorded for safety assessment. Intergroup comparisons and non-inferiority analysis were performed. p values less than 0.05 were considered statistically significant.

RESULTS: Basic information showed no significant difference between treatment groups. The intergroup difference of the effective rate was – 1.7% in the left eye and 1.6% in right eye, verifying the non-inferiority of the Eyesis device (p = 0.927). Significant improvements in OSDI, TBUT, Schirmer test, TMH, CFS, and meibomian gland signs were observed in Eyesis group on days 7 and 14 (all p < 0.05). Compared to the E-Eye group, the Eyesis group achieved more significant improvements in OSDI, TBUT, Schirmer test, TMH, and meibum quality (all p < 0.05). There was no significant difference in the incidences of adverse events between groups (p = 1.000).

CONCLUSIONS: The new-generation IPL was effective and safe in relieving the symptoms and signs of MGD-related dry eye, exhibiting a non-inferior effective rate compared to the traditional IPL. Additionally, Eyesis showed more clinical benefits over E-Eye in alleviating symptoms, increasing tear film stability and improving meibomian gland function.

PMID:35974296 | DOI:10.1007/s40123-022-00556-1

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Nevin Manimala Statistics

Prospective Randomized Comparison of Linear Endostaplers During Laparoscopic Sleeve Gastrectomy

Obes Surg. 2022 Aug 16. doi: 10.1007/s11695-022-06240-4. Online ahead of print.

ABSTRACT

PURPOSE: The development of Laparoscopic Linear Endostaplers (LLES) is crucial in minimally invasive approaches in bariatric surgery, but there have been very few published studies comparing 6-row LLES in Laparoscopic Sleeve Gastrectomy (LSG). The objective of this study was to compare two 6-row LLES in LSG.

METHODS: A total of 60 patients were prospectively randomized to undergo LSG with either Medtronic Endo GIA™ Tri-Staple technology (MTS) or AEON ™ Endostapler(Lexington Medical) LLES. The measured parameters included patient demographics, comorbidity indices, LLES and specimen characteristics, postoperative symptoms, hospital stay, and total adverse events (AEs). Intraoperative bleeding was evaluated using five laparoscopic and corresponding endoscopic images of staple line before clip application, compared with a 1-5 Visual Analogue Scale (VAS), assessed by an independent bariatric surgeon who was blinded to the LLES used. Images of all cases were reviewed on the same day to increase test-retest reliability.

RESULTS: Both groups were similar in patient demographics. Compared to MTS, AEON LLES group had significantly lower bleeding VAS scores in 4/5 laparoscopic images (pre-pyloric: 1.7 ± 0.7 vs. 2.36 ± 0.76, p = 0.0007, mid-sleeve: 1.46 ± 0.62 vs. 1.86 ± 0.68, p = 0.019, proximal sleeve: 1.6 ± 0.77 vs. 2.0 ± 0.83, p = 0.038, gastro-esophageal junction: 1.43 ± 0.67 vs. 1.86 ± 0.77, p = 0.014) and 3/5 endoscopic images (pre-pyloric: 1.56 ± 0.56 vs. 2.36 ± 0.76, p = 0.006, incisura: 1.66 ± 0.54 vs. 2.0 ± 0.52, p = 0.021, mid-sleeve: 1.63 ± 0.49 vs. 2.0 ± 0.45, p = 0.005). There was no statistical difference in other parameters.

CONCLUSION: Both devices were equally safe and effective in terms of LLES and specimen characteristics, patient symptoms, hospital stay, and AEs. Bleeding VAS scores were significantly lower, favoring the AEON LLES.

PMID:35974292 | DOI:10.1007/s11695-022-06240-4

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Nevin Manimala Statistics

Combined Semi-mechanistic Target-Mediated Drug Disposition and Pharmacokinetic-Pharmacodynamic Models of Alirocumab, PCSK9, and Low-Density Lipoprotein Cholesterol in a Pooled Analysis of Randomized Phase I/II/III Studies

Eur J Drug Metab Pharmacokinet. 2022 Aug 16. doi: 10.1007/s13318-022-00787-4. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: Alirocumab is a cholesterol-lowering monoclonal antibody targeting proprotein convertase subtilisin kexin type 9 (PCSK9) indicated in the prevention of cardiovascular risk and exhibiting target-mediated drug disposition (TMDD). The aim of this work was to develop an integrated pharmacokinetic-pharmacodynamic model to describe the interaction of alirocumab with PCSK9 and its impact on the evolution of low-density lipoprotein cholesterol (LDL-C) levels and explore labeling specification for subpopulations.

METHODS: Using data collected from nine phase I/II/III clinical studies (n = 527, subcutaneous or intravenous administration), a TMDD model considering the quasi-steady-state approximation was developed to characterize the interaction dynamics of alirocumab and PCSK9, combined with an indirect pharmacodynamic model describing the inhibition of LDL-C by PCSK9 in a one-step approach using nonlinear-mixed effects modeling. A “full fixed effects modeling” strategy was implemented to quantify parameter-covariate relationships.

RESULTS: The model captures the interaction between alirocumab and its target PCSK9 and how this mechanism drives LDL-C depletion, with an estimation of the associated between-subject variability of model parameters and the quantification of clinically relevant parameter-covariate relationships. Co-administration of statins was found to increase the central volume of distribution of alirocumab by 1.75-fold (5.6 L versus 3.2 L) and allow for a 14% greater maximum lipid-lowering effect (88% versus 74%), highlighting the synergy of action between anti-PCSK9 therapeutic antibodies and statins toward lowering LDL-C plasma levels. Baseline levels of PCSK9 were found to be related to the amplitude of LDL-C variations by increasing the concentration of free PCSK9 necessary to reach half its capacity of inhibition of LDL-C degradation.

CONCLUSION: The maximum effect of alirocumab is achieved when free PCSK9 concentration is close to zero, as seen mostly after 150 mg every 2 weeks (Q2W) or 300 mg every 4 weeks (Q4W), indicating that there would be no additional clinical benefit of increasing the dose higher than these recommended dosing regimens.

PMID:35974290 | DOI:10.1007/s13318-022-00787-4

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Nevin Manimala Statistics

New classification method of coal spontaneous combustion three zones in the goaf based on non-parametric kernel density estimation

Environ Sci Pollut Res Int. 2022 Aug 16. doi: 10.1007/s11356-022-22528-5. Online ahead of print.

ABSTRACT

The accurate division of three zones of coal spontaneous combustion in the goaf plays a vital role for coal fire prevention. Based on the O2 and CO volume fraction acquired from in situ test, this paper first fits the linear equation (characteristic equation) of O2 volume fraction with the length of the goaf. Then a cloud map of the kernel density distribution of O2 and CO volume fraction and the length of the goaf was drawn. According to the cloud map of CO, the distribution interval of CO volume fraction can be obtained, in which 0-100 ppm is the acceptable range, and greater than 100 ppm is the dangerous range, which can be used as a critical indicator for early warning of coal spontaneous combustion. According to the kernel density distribution cloud map of O2 volume fraction, there are 3 peaks of the kernel density of O2 volume fraction. According to the difference test, the 3 goaf lengths (characteristic lengths) corresponding to the 3 kernel density peaks are determined to be 12 m, 34 m, and 59 m, respectively. The characteristic O2 volume fractions are obtained by substituting characteristic lengths into the characteristic equation, which are 17.9%, 13.6%, and 8.9%. Different from the traditional dividing method, the characteristic O2 volume fractions and characteristic lengths divide the goaf into four areas: the heat dissipation zone, the first oxidation zone, the second oxidation zone, and the asphyxiation zone. The results of this study could refine the division of coal spontaneous combustion dangerous areas, reflect the dynamic change process of coal spontaneous combustion dangerous areas, and improve the efficiency of coal spontaneous combustion prevention.

PMID:35974273 | DOI:10.1007/s11356-022-22528-5

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Nevin Manimala Statistics

Mapping the forest fire risk zones using artificial intelligence with risk factors data

Environ Sci Pollut Res Int. 2022 Aug 16. doi: 10.1007/s11356-022-22515-w. Online ahead of print.

ABSTRACT

Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological reasons. Human-induced factors also play an important role in occurrence of forest fires, and these factors depend on various social and economic conditions. This article aims to prepare a fire risk zone map by using a data set consisting of 11 human-induced factors, a natural factor, and temperature, which is one of the risk factors that determine the conditions for the occurrence of forest fires. Moreover, k-means clustering algorithm, which is an artificial intelligence method, was employed in preparation of the fire risk zone map. Turkey was selected as the study area because there are social and economic variations among its regions. Thus, the regional forest directorates in Turkey were separated into four clusters as extreme-risk zone, high-risk zone, moderate-risk zone, and low-risk zone. Also, a map presenting these risk zones were provided. The map reveals that, in general, the western and southwestern coastal areas of Turkey are at high risk of forest fires. On the other hand, the fire risk is relatively low in the northern, central, and eastern areas.

PMID:35974271 | DOI:10.1007/s11356-022-22515-w

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Nevin Manimala Statistics

Multi-substrate sequential optimization, characterization and immobilization of lipase produced by Pseudomonas plecoglossicida S7

Environ Sci Pollut Res Int. 2022 Aug 16. doi: 10.1007/s11356-022-22098-6. Online ahead of print.

ABSTRACT

Lipases are important biocatalysts having the third largest global demand after amylases and proteases. In the present study, we have screened 56 potential lipolytic Pseudomonas strains for their lipolytic activity. Pseudomonas plecoglossicida S7 showed highest lipase production with specific activity of 70 U/mg. Statistical optimizations using Plackett Burman design and response surface methodology evaluated fourteen different media supplements including various oilcakes, carbon sources, nitrogen sources, and metal ions which led to a 2.23-fold (156.23 U/mg) increase in lipase activity. Further, inoculum size optimization increased the overall lipase activity by 2.81-folds. The lipase was active over a range of 30-50° C with a pH range (7-10). The enzyme was tolerant to various solvents like chloroform, methanol, 1-butanol, acetonitrile, and dichloromethane and retained 60% of its activity in the presence of sodium dodecyl sulfate (0.5% w/v). The enzyme was immobilized onto Ca-alginate beads which increased thermal (20-60 °C) and pH stability (5-10). The purified enzyme could successfully remove sesame oil stains and degraded upto 25.2% of diesel contaminated soil. These properties of the lipase will help in its applicability in detergent formulations, wastewater treatments, and biodegradation of oil in the environment.

PMID:35974269 | DOI:10.1007/s11356-022-22098-6

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Serum protease-activated receptor (PAR-1) levels as a potential biomarker for diagnosis of inflammation in type 2 diabetic patients

Inflammopharmacology. 2022 Aug 16. doi: 10.1007/s10787-022-01049-0. Online ahead of print.

ABSTRACT

BACKGROUND: Inflammation is a prominent clinical manifestation in type 2 diabetes mellitus (T2DM) patients, often associated with insulin resistance, metabolic dysregulation, and other complications.

AIM OF THE STUDY: The present study has been designed to check the serum levels of PAR-1 and correlate with various clinical manifestations and inflammatory cytokines levels in type 2 diabetic subjects.

MATERIAL AND METHODS: The study population was divided into two groups, healthy volunteers (n = 15): normal glycated hemoglobin (HbA1c) (4.26 ± 0.55) and type 2 diabetic subjects (n = 30): HbA1c levels (7.80 ± 2.41). The serum levels of PAR-1 (ELISA method) were studied in both groups and correlated with demographic parameters age, weight, body mass index (BMI), and conventional inflammation biomarkers like C-reactive protein (CRP), interleukin 6 (IL-6), interleukin 8 (IL-8), and tumour necrosis factor-alpha (TNF-α).

RESULTS: The demographic variables including the body weight (77.38 ± 10.00 vs. controls 55.26 ± 6.99), BMI (29.39 ± 3.61 vs. controls 25.25 ± 4.01), glycemic index HbA1c (7.80 ± 2.41 vs. controls 4.26 ± 0.55) were found to be statistically increased in T2DM subjects than the healthy control group. The levels of various inflammatory biomarkers and PAR-1 were significantly elevated in T2DM groups in comparison to healthy volunteers. The univariate and multivariate regression analysis revealed that elevated PAR-1 levels positively correlated with increased body weight, BMI, HbA1c, and inflammatory cytokines.

CONCLUSION: Our findings indicate that the elevated serum PAR-1 levels serve as an independent predictor of inflammation in T2DM subjects and might have prognostic value for determining T2DM progression.

PMID:35974263 | DOI:10.1007/s10787-022-01049-0