Virgin coconut oil - its methods of extraction, properties and clinical usage: a review

Abstract

Virgin coconut oil (VCO) is a processed edible oil, which is removed from the mature coconuts. It is a colourless water insoluble liquid and obtained by the hot and cold extraction processes. The nutritional components of VCO are mainly contributed to by lauric acid, its primary content. VCO has shown its anticancer, antimicrobial, analgesic, antipyretic and antiinflammatory properties. Because of these medicinal properties, VCO has gained the wider attention among the medical field. Most evidently VCO has shown its potential antioxidant property, because of its phenolic compounds and medium chain fatty acids. It is one of the beneficial compounds used to prevent and treat the oxidative stress induced neurological disorders like stress, depression and Alzheimer's disease. Dietary supplementation of VCO is easy and economical and safer in daily life among all age groups. It is also beneficial for the cardiovascular, respiratory, dermatological, reproductive and bone health. It can also be applied to the skin as a moisturizer in the paediatric age group. Hence, exploration of antioxidant property as well as other beneficial effects of VCO in various health conditions will be valuable.

Outcome measures of the surgery first approach for orthognathic correction of dentofacial deformities

In the surgery-first approach (SFA), orthognathic surgery is performed without the need for presurgical orthodontic treatment. This study was aimed at assessing the treatment durations and occlusal outcomes for a consecutive cohort of patients, with a range of dentofacial deformities, who had completed orthognathic treatment using SFA. The duration of orthognathic treatment was measured. The overall change in occlusion, and the quality of the final occlusion, were evaluated using the patients' study casts. A single, independent, calibrated operator carried out the occlusal scores, using the validated Peer Assessment Rating (PAR) index. This was repeated to test intraoperator reliability. A total of 51 patients completed surgery-first treatment during the study period. The mean (range) age at surgery was 23.3 (15-47) years. The pre-treatment skeletal jaw relationship was Class III in 39 cases, and Class II in 12 cases. The mean (SD) overall treatment duration was 11.7 (5.7) months. The intraexaminer reliability of assessing the occlusion was high. The PAR scores confirmed a significant improvement in the quality of occlusion at the completion of treatment, which compares favourably with previous studies on the conventional orthodontics-first approach. The surgery first approach can be effective at correcting both Class II and Class III malocclusion types with reduced treatment times.

Efficacy of Radial Endobronchial Ultrasound (R-EBUS) guided transbronchial cryobiopsy for peripheral pulmonary lesions (PPL...s): A systematic review and meta-analysis

BACKGROUND

Transbronchial lung cryobiopsy (TBLC) is frequently described for the diagnosis of diffuse parenchymal lung diseases (DPLD). A few studies have reported transbronchial cryobiopsy for the diagnosis of peripheral pulmonary lesions (PPL...s). We aimed to study the utility and safety of transbronchial cryobiopsy for the diagnosis of PPL...s.

METHODS

We performed a systematic search of the PubMed and Embase databases to extract the relevant studies. We then performed a meta-analysis to calculate the diagnostic yields of transbronchial cryobiopsy and bronchoscopic forceps biopsy.

RESULTS

Following a systematic search, we identified nine relevant studies (300 patients undergoing cryobiopsy). All used Radial Endobronchial Ultrasound (R-EBUS) for PPL localization. The pooled diagnostic yield of transbronchial cryobiopsy was 77% (95% CI, 71%...84%) (I^2=38.72%, p=0.11). The diagnostic yield of forceps biopsy was 72% (95% CI, 60%...83%) (I^2=78.56%, p<0.01). The diagnostic yield of cryobiopsy and forceps biopsy was similar (RR 1.05, 95% CI 0.96...1.15), with a 5% risk difference for diagnostic yield (95% CI, ...6% to 15%). There was significant heterogeneity (I^2=57.2%, p=0.017), and no significant publication bias. One severe bleeding and three pneumothoraxes requiring intercostal drain (ICD) placement (major complication rate 4/122, 1.8%) were reported with transbronchial cryobiopsy.

CONCLUSIONS

R-EBUS guided transbronchial cryobiopsy is a safe and efficacious modality. The diagnostic yields of TBLC and forceps biopsy are similar. More extensive multicentre randomized trials are required for the further evaluation and standardization of transbronchial cryobiopsy for PPL...s.

Nanostructured nickel doped zinc oxide material suitable for magnetic, supercapacitor applications and theoretical investigation

This Paper describes the synthesis of nickel doped ZnO is planned by chemical co-precipitation techniques. The prepared nanostructured nickel doped zinc oxide samples were analyzed by thermogravimetric differential thermal analysis (TG/DTA), X-ray diffraction (XRD), Fourier transform infra red (FTIR), field emission scanning electron microscopy (FESEM), high resolution transmission electron microscopy (HRTEM), electron paramagnetic resonance (EPR), and cyclic voltametry (CV). Nanostructure nickel doped ZnO materials have developed as promising for the basis of its broad range of employing in diverse areas. The attractive properties of nickel doped ZnO materials are highly demanded in high-energy potential applications. The nickel doped zinc oxide materials are hexagonal wurtzite arrangement is confirmed by XRD. The morphological -features of FE-SEM show nickel doped zinc oxide NPs are the structure of spherical type with agglomeration. The calculated particle size 11 nm is confirmed by HR-TEM. EPR spectra of nickel doped zinc oxide nanoparticles are ferromagnetic nature. Further, CV studies of Ni doped ZnO materials of the specific capacitance value is 133 Fg^-1 at the scan rate 10 mVs^-1 it is suitable for super capacitor application. The quantum chemical calculations were done by using DFT techniques through B3LYP/LANL2DZ level of basis set.

Standardizing the CAP Score in Huntington's Disease by Predicting Age-at-Onset

BACKGROUND

Huntington's disease (HD) is an autosomal dominant, neurological disease caused by an expanded CAG repeat near the N-terminus of the huntingtin (HTT) gene. A leading theory concerning the etiology of HD is that both onset and progression are driven by cumulative exposure to the effects of mutant (or CAG expanded) huntingtin (mHTT). The CAG-Age-Product (CAP) score (i.e., the product of excess CAG length and age) is a commonly used measure of this cumulative exposure. CAP score has been widely used as a predictor of a variety of disease state variables in HD. The utility of the CAP score has been somewhat diminished, however, by a lack of agreement on its precise definition. The most commonly used forms of the CAP score are highly correlated so that, for purposes of prediction, it makes little difference which is used. However, reported values of CAP scores, based on commonly used definitions, differ substantially in magnitude when applied to the same data. This complicates the process of inter-study comparison.

OBJECTIVE

In this paper, we propose a standardized definition for the CAP score which will resolve this difficulty. Our standardization is chosen so that CAP = 100 at the expected age of diagnosis.

METHODS

Statistical methods include novel survival analysis methodology applied to the 13 disease landmarks taken from the Enroll-HD database (PDS 5) and comparisons with the existing, gold standard, onset model.

RESULTS

Useful by-products of our work include up-to-date, age-at-onset (AO) results and a refined AO model suitable for use in other contexts, a discussion of several useful properties of the CAP score that have not previously been noted in the literature and the introduction of the concept of a toxicity onset model.

CONCLUSION

We suggest that taking L = 30 and K = 6.49 provides a useful standardization of the CAP score, suitable for use in the routine modeling of clinical data in HD.

A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design

BACKGROUND

Applying machine-learning algorithms to large datasets such as those available in Huntington's disease offers the opportunity to discover hidden patterns, often not discernible to clinical observation.

OBJECTIVES

To develop and validate a model of Huntington's disease progression using probabilistic machine learning methods.

METHODS

Longitudinal data encompassing 2079 assessment measures from four observational studies (PREDICT-HD, REGISTRY, TRACK-HD, and Enroll-HD) were integrated and machine-learning methods (Bayesian latent-variable analysis and continuous-time hidden Markov models) were applied to develop a probabilistic model of disease progression. The model was validated using a separate Enroll-HD dataset and compared with existing clinical reference assessments (Unified Huntington's Disease Rating Scale [UHDRS] diagnostic confidence level, total functional capacity, and total motor scores) and CAG-age product.

RESULTS

Nine disease states were discovered based on 44 motor, cognitive, and functional measures, which correlated with reference assessments. The validation set included 3158 participants (mean age, 48.4 years) of whom 61.5% had manifest disease. Analysis of transition times showed that "early-disease" states 1 and 2, which occur before motor diagnosis, lasted ~16 years. Increasing numbers of participants had motor onset during "transition" states 3 to 5, which collectively lasted ~10 years, and the "late-disease" states 6 to 9 also lasted ~10 years. The annual probability of conversion from one of the nine identified disease states to the next ranged from 5% to 27%.

CONCLUSIONS

The natural history of Huntington's disease can be described by nine disease states of increasing severity. The ability to derive characteristics of disease states and probabilities for progression through these states will improve trial design and participant selection. © 2021 International Parkinson and Movement Disorder Society.

424 Improving Interprofessional Teamwork in Plastic Surgery: A Novel Approach to Microsurgical Skills Training for Theatre Nurses

Aim

Shared mental models between surgeons and scrub nurses allow them to effectively communicate with each other and react efficiently to intraoperative complications. Microsurgery poses unique challenges including the use of an operating microscope, fine instruments, and restricted views of the operative field. Our aim was to design and deliver a microsurgical skills session for theatre nurses and evaluate whether attendance influenced perceived understanding of microsurgery and ability in day-to-day role.

Method

A microsurgical training day for theatre nurses was delivered. This consisted of an introduction to and positioning of the operating microscope and three practical stations involving increasingly complex motor tasks, designed to highlight the importance of instrument handling and improve awareness of microsurgical challenges. Consultant plastic surgeons acted as scrub nurses to add an element of role-reversal. Qualitative and quantitative feedback was collected.

Results

Eight theatre nurses participated, all responded ‘strongly agree’ or ‘agree’ that the training was enjoyable, improved their understanding of microsurgery and was relevant and helpful to their day-to-day role. All attendees strongly agreed that they would partake in similar sessions in the future.

Conclusions

Role-reversal and skills-based training is a valuable tool in improving multidisciplinary collaboration in microsurgery. Increasing shared knowledge of complex procedures prospers effective teamwork and communication, which leads to improved efficiency and better patient care. Our study is a first step towards development of a standardized microsurgical skills course for theatre nurses and has broader implications for interprofessional education across all surgical specialties.

Dose-dense Paclitaxel and Carboplatin as Neoadjuvant Chemotherapy for Stage IIB/IIIA Non-small Cell Lung Cancer - A Phase II trial

AIMS

The approach to potentially resectable non-small cell lung cancer (NSCLC) remains controversial. There is a benefit of neoadjuvant chemotherapy (NACT), but the ideal regimen is unknown. We evaluated the efficacy and safety of dose-dense NACT in potentially resectable NSCLC in this phase II trial.

MATERIALS AND METHODS

Paclitaxel at 80 mg/m² on days 1, 8 and 15 with AUC-6 carboplatin on day 1, 3 weekly for four cycles was evaluated as NACT. Patients with Eastern Cooperative Oncology Group performance status 0-2, stage IIB and IIIA (with only non-bulky N2 nodes) were included. The primary end point was the objective response rate. Secondary end points included toxicity, progression-free survival, recurrence-free survival, complete resection rate and overall survival. The relative dose intensity (RDI) was calculated to define tolerability (CTRI/2016/05/006916).

RESULTS

In total, 37 patients were enrolled (median age 55 years). Most (78.8%) were smokers. Most patients had adenocarcinoma (57.6%) and stage IIIA disease (81.0%) according to the seventh American Joint Committee on Cancer staging system. Seventy-eight per cent of patients completed four cycles. The objective response rate was 75.6% with a complete response in 10.8%. The mean RDI of paclitaxel was 88.61%, with 68.0% of patients able to maintain an RDI ≥85.0%. In total, 187 toxicity events were recorded (120 grade 1, 64 grade 2 and three grade 3 events). Common toxicities were peripheral neuropathy (20.3%), myalgia (19.8%), nausea (15.7%) and neutropenia (10.2%). There were no treatment-related deaths. Seventeen patients underwent surgery (lobectomy 82.4%). After a median follow-up of 47 months (95% confidence interval 27-50.7 months), the median progression-free survival was 9.6 months (7.4-17.4) and overall survival was 29.2 months (16.0-37.2).

CONCLUSION

Dose-dense paclitaxel-carboplatin is feasible, safe and efficacious and should be evaluated further in potentially resectable NSCLC.

Estimating the causal effects of modifiable, non-genetic factors on Huntington disease progression using propensity score weighting

INTRODUCTION

Despite being genetically inherited, it is unclear how non-genetic factors (e.g., substance use, employment) might contribute to the progression and severity of Huntington's disease (HD).

METHODS

We used propensity score (PS) weighting in a large (n = 2914) longitudinal dataset (Enroll-HD) to examine the impact of education, employment status, and use of tobacco, alcohol, and recreational and therapeutic drugs on HD progression. Each factor was investigated in isolation while controlling for 19 other factors to ensure that groups were balanced at baseline on potential confounders using PS weights. Outcomes were compared several years later using doubly robust models.

RESULTS

Our results highlighted cases where modifiable (non-genetic) factors - namely light and moderate alcohol use and employment - would have been associated with HD progression in models that did not use PS weights to control for baseline imbalances. These associations did not hold once we applied PS weights to balance baseline groups. We also found potential evidence of a protective effect of substance use (primarily marijuana use), and that those who needed antidepressant treatment were likely to progress faster than non-users.

CONCLUSIONS

Our study is the first to examine the effect of non-genetic factors on HD using a novel application of PS weighting. We show that previously-reported associated factors - including light and moderate alcohol use - are reduced and no longer significantly linked to HD progression after PS weighting. This indicates the potential value of PS weighting in examining non-genetic factors contributing to HD as well as in addressing the known biases that occur with observational data.

A microfluidic flow analyzer with integrated lensed optical fibers

Rapid optical interrogation of flowing cells or particles is a powerful tool in the field of biomedical diagnostics. Determination of size and composition of fast-flowing cells, with diameters in the range of 2- 15 μ m , often require complex open-space optics and expensive high-speed cameras. In this work, a method to overcome these challenges by using a hydrodynamic flow-based microfluidic platform coupled with on-chip integrated fiber optics is reported. The lab-scale portable device developed uses a combination of on-chip lensed and non-lensed optical fibers for precision illumination. The narrow light beam produced by the lensed fiber ( f = 150 μ m ) enables precise optical analysis with high sensitivity. A planar arrangement of optical fibers at various angles facilitates multi-parametric analysis from a single point of interrogation. As proof of concept, the laboratory-scale portable bench-top prototype is used to measure fluorescence signals from CD4 immunostained cells and human blood samples. The performance of microfluidic flow analyzer is also compared to the conventional Guava® easyCyte 8HT flow cytometer.

Craniopharyngiomas in children - experience of consecutive 152 operated cases

Context

Craniopharyngiomas (CPH) are benign tumors, rarely encountered in children, representing 5-6% of all intracranial tumors.

Objective

This study aimed to analyze the surgical management and quality of life in a series of CPH pediatric cases.

Design

This was a multicenter study performed over a 25-year period (1994 - 2019) in Bucharest.

Subjects and Methods

152 children (0-17 years old) were treated for CPH. Preoperative manifestations were intracranial hypertension, endocrine dysfunction, visual impairment, ataxia, intellectual performance decrease.

Results

Considering all surgical approaches used, we advocate for pterional approach to best fit in CPH. We achieved gross-total removal (GTR) in 83 cases (54.4%), near-total resection (NTR) in 13 cases (9%), partial resection (PTR) in 51 cases (33.3%). 5 cases were biopsies (3.2%). Gamma Knife Surgery was performed in 10 cases (6.5%), all recurrences. At 6 months GOS revealed: Good Recovery 70 cases (46.2%), Moderate Disability 62 cases (40.7%), Severe Disability 13 (8.5%), Vegetative State 2 cases (1.3%), Deceased 5 cases (3.2%). Complications were: diabetes insipidus (89.3%); hypopituitarism (66.4%); hypothalamic damage (17.7%); visual deterioration (18.4%).

Conclusions

Surgery remains the main option, but GTR complications prove the necessity for a multidisciplinary approach. Outcome predicting factors are: age, tumor size, hydrocephalus degree, hypothalamic dysfunction.

Cognitive and Motor Norms for Huntington’s Disease

Background

The progression of Huntington’s disease (HD) for gene-expanded carriers is well-studied. Natural aging effects, however, are not often considered in the evaluation of HD progression.

Objective

To examine the effects of natural aging for healthy controls and to develop normative curves by age, sex, and education from the distribution of observed scores for the Symbol Digit Modalities Test, Stroop Word Reading Test, Stroop Color Naming Test, Stroop Interference Test, Total Motor Score, and Total Functional Capacity (TFC) from the Unified Huntington’s Disease Rating Scale (UHDRS) along with a composite score.

Methods

After combining longitudinal REGISTRY and Enroll-HD data, we used quantile regression and natural cubic splines for age to fit models for healthy controls (N = 3,394; N observations = 8,619). Normative curves were estimated for the 0.05, 0.25, 0.50, 0.75, and 0.95 quantiles. Two types of reference curves were considered: unconditional curves were dependent on age alone, whereas conditional curves were dependent on age and other covariates, namely sex and education.

Results

Conditioning on education was necessary for the Symbol Digit, Stroop Word, Stroop Color, Stroop Interference, and composite UHDRS. Unconditional curves were sufficient for the Total Motor Score. TFC was unique in that the curve was constant over age with its intercept at the maximum score (TFC = 13). For all measures, sex effects were minimal, so conditioning on sex was unwarranted.

Conclusions

Extreme quantile estimates for each measure can be considered as boundaries for natural aging and scores falling beyond these thresholds are likely the result of disease progression. Normative curves and tables are developed and can serve as references for clinical characterization in HD.

Robust Markers and Sample Sizes for Multicenter Trials of Huntington Disease

Objective

The identification of sensitive biomarkers is essential to validate therapeutics for Huntington disease (HD). We directly compare structural imaging markers across the largest collective imaging HD dataset to identify a set of imaging markers robust to multicenter variation and to derive upper estimates on sample sizes for clinical trials in HD.

Methods

We used 1 postprocessing pipeline to retrospectively analyze T1‐weighted magnetic resonance imaging (MRI) scans from 624 participants at 3 time points, from the PREDICT‐HD, TRACK‐HD, and IMAGE‐HD studies. We used mixed effects models to adjust regional brain volumes for covariates, calculate effect sizes, and simulate possible treatment effects in disease‐affected anatomical regions. We used our model to estimate the statistical power of possible treatment effects for anatomical regions and clinical markers.

Results

We identified a set of common anatomical regions that have similarly large standardized effect sizes (>0.5) between healthy control and premanifest HD (PreHD) groups. These included subcortical, white matter, and cortical regions and nonventricular cerebrospinal fluid (CSF). We also observed a consistent spatial distribution of effect size by region across the whole brain. We found that multicenter studies were necessary to capture treatment effect variance; for a 20% treatment effect, power of >80% was achieved for the caudate (n = 661), pallidum (n = 687), and nonventricular CSF (n = 939), and, crucially, these imaging markers provided greater power than standard clinical markers.

Interpretation

Our findings provide the first cross‐study validation of structural imaging markers in HD, supporting the use of these measurements as endpoints for both observational studies and clinical trials. ANN NEUROL 2020;87:751–762

Effects of Pyruvic Acid, Succinic Acid, and Oregano Essential Oil on Salmonella, Natural Microflora, and Quality of Raw Ground Chicken

ObjectivesThe growing stringency of regulations related to pathogens in raw poultry and increasing consumer demand for more natural food ingredients makes it imperative to explore alternative antimicrobial agents. The aim of this study was to assess the anti-Salmonella effect of combinations of succinate or pyruvic acid with oregano essential oil in raw ground chicken. Additionally, their effect on natural microflora and quality of ground chicken over simulated retail display was evaluated.Materials and MethodsNalidixic acid (NA) adapted Salmonella Typhimurium was inoculated on skin-on broiler breast meat pieces. The antimicrobial treatments given to meat were 2 and 3% pyruvic acid (PA) or monosodium succinate (SA) in combination with 0.5% essential oil (EO). Agar at the concentration of 0.05% was added to water used to prepare antimicrobial solutions to disperse the essential oil. Mode of antimicrobial treatment was 30 s dip. The meat was then ground and evaluated for pathogen reduction. Data were analyzed using 1-way ANOVA. Surviving Salmonella were recovered on XLT-4 with 50 ppm NA. Non-inoculated meat was similarly treated with antimicrobial dip and ground. Ground chicken was packaged in foam trays with PVC overwrap, and evaluated for mesophilic aerobic plate count (APC), psychrotrophic count (PC), pH, instrumental color (CIE L*, a*, and b*), and expressible moisture over 8 d of simulated retail display.A factorial design was assigned to the experiment with antimicrobial treatments and display days as the fixed effect factors. Data were analyzed using a mixed general linear model that considered replicates as a random effect in addition to the mentioned fixed effects. All trials were conducted in three replicates.ResultsMaximum reduction obtained in Salmonella counts from ground chicken was 1.52 log CFU/g and 0.98 log CFU/g, resulting from 3% SA + 0.5% EO, and 3% PA + 0.5% EO, respectively. Three percent SA + 0.5% EO treatment resulted in ground chicken with approximately 1.2 log CFU/g lower APC on Day 8 that was significantly lower (P < 0.05) than all other treatments. This treatment also resulted in less pH variation over the entire shelf life duration and lighter color of ground meat on Day 8.ConclusionThese results indicate that combination of monosodium succinate and oregano essential oil provides effective reduction of Salmonella and improved raw quality of ground chicken. This antimicrobial combination can be employed as a clean label ingredient for raw chicken applications.

Effects of Drying, Lactic Acid, and an Antimicrobial Marinade on the Survival of Generic Escherichia coli on Biltong

ObjectivesThe objective of the experiment was to evaluate the effects of drying, lactic acid spray, and a certain marinade application on the survival of generic Escherichia coli on biltong.Materials and MethodsFrozen eyes of round (IMPS #171C) were obtained from a local beef purveyor. The eyes of round were thawed (at 4°C), trimmed of extra fat and connective tissues, and cut into strips (L × W × T; 6 in × 2 in × 0.75 in). The experiment was divided into 2 groups and replicated once. Experiment 1 was further sub-grouped into 3 treatments: (1) negative control (NC), (2) negative control for dip treatment (NCD), and (3) inoculated group (I). Experiment 2 was sub-grouped into 6 treatments: (1) negative control (NC), (2) negative control for dip treatment (NCD), (3) positive inoculated control (PIC), and inoculated treatments (4) marinated (M), (5) 2% lactic acid spray (LA), and (6) marinated and lactic acid spray (MLA). For both experiments 1 and 2, 12 strips of biltong were randomly selected for each treatment (n = 36 for experiment 1; n = 72 for experiment 2). The inoculated samples were dipped for 30 s in a cocktail (5-log) of 4 different strains of nalidixic adapted Escherichia coli (beef isolates) and allowed 2 h for attachment at 4°C. The lactic acid was sprayed to each side of the respective biltong and allowed a 10-min resting period. Marinade was applied to respective treatment groups by dipping, rubbing, and incubating overnight (at 4°C). All samples were kept in a smokehouse in a controlled environment with drying cycle at 78°F and 60% relative humidity. Experiment 1 was incubated in the smokehouse for a total of 12 d and experiment 2 was incubated for 9 d total. Samples from each treatment group were removed on Days 0, 2, 5, 7, 9, and 12 (experiment 1 only) for microbiological sampling and analysis. Samples were homogenized, serially diluted, enumerated on TSA plus 200 ppm nalidixic acid, and incubated at 35°C for 18–24 h. Colonies were counted after 24 h and colony counts were transformed into log10 CFU for reporting.ResultsThe data for experiment 2 showed that the treatments LA, M, MLA, and PIC were able to achieve a 2.5–3 log10 CFU reduction after 9 d of drying. The M and MLA treatments exhibited a 2–3 log10 CFU reduction after 2 d of drying as compared with LA and PIC that showed a similar reduction in microbial counts after 9 d of incubation. The NC and NCD treatment groups resulted in no microbial growth from Day 0 till Day 9 of incubation. The data for experiment 1 showed that there was a 1 log10 CFU reduction of E. coli in treatment group I. The NC and NCD groups did not show microbial growth from Day 0 till Day 9 of incubation. The water activity decreased overtime to 0.722 for experiment 1 and 0.711 for experiment 2. Overall, the M and the MLA samples appeared to have the greatest and quickest killing effect on generic E. coli.ConclusionResults from these experiments suggest that the combination of drying with a lactic acid spray and marinade application causes a decrease in the E. coli population on Biltong during incubation for 9 or 12 d. While the results show that there may be a small decrease from drying alone, the greatest decreasing effect appears to be the combination of the drying, lactic acid, and marinade. Future work will include additional replicates and experiments with pathogens such as E. coli O157:H7.

Anti-Salmonella Effects of Pyruvic and Succinic Acid in Combination with Oregano Essential Oil

ObjectivesEffective decontamination approaches will aid in improving safety of poultry products and help processors comply with pathogen performance standards. Increasing consumer demand for clean label and more natural ingredients presents a scope to explore alternative decontamination approaches for meat and food contact surfaces. This study aimed to evaluate the antimicrobial efficacy of combinations of pyruvic acid (PA), succinic acid (SA), and oregano essential oil (EO) against Salmonella Typhimurium in suspensions, cells inoculated on raw chicken, and cells attached to steel.Materials and MethodsMinimum bactericidal concentration (MBC) assays were conducted in Mueller-Hinton broth (5 mL). Bacterial cells were added to broth suspensions of antimicrobial agents or their combinations. A contact time not exceeding 10 s was provided. Surviving bacteria were recovered on tryptic soy agar (TSA). Bacterial inactivation was confirmed by enrichment in D/E broth. Experiment involved completely randomized design with each concentration of organic acid and essential oil being considered as one level. Data were analyzed using 1-way ANOVA. Aqueous solutions of PA, SA, EO, and the mixtures of PA+EO and SA+EO were prepared using 0.05% agar to suspend the essential oil. Skin-on raw chicken breast meat pieces (2.5 cu cm) were used as a substrate to inoculate nalidixic acid (NA) adapted Salmonella cells. Pieces were treated with antimicrobial agents for 30 s by dipping, and surviving Salmonella were recovered using D/E broth on XLT-4 agar with 50 ppm NA. Four different experiments with variable acid and essential oil concentrations were performed and data were analyzed using 1-way ANOVA. Each experiment included an inoculated untreated control. Stainless steel coupons (2 × 5 cm) were used as a substrate for Salmonella attachment. Cells were allowed to grow and attach on coupons submerged in tryptic soy broth for 24 h. Coupons were rinsed to remove planktonic cells. Attached cells remaining on the coupon were dip treated with antimicrobial agents for 5 min. Surviving cells were recovered on TSA. For antimicrobial treatments leading to no cell recovery, additional experiments were performed. The recovery broth was enriched in tryptic soy broth and streaked on TSA to confirm inactivation. Three different experiments were conducted while including their respective inoculated and untreated controls and analyzed using 1-way ANOVA. All experiments were conducted in three replicates.ResultsMBC for was found to be PA (0.5%), SA(3%), EO (0.04%), PA+EO (0.25 + 0.02%), SA+EO (0.25 + 0.02%), respectively. 1% PA + 0.08% EO combination produced the maximum reduction (1.42 ± 0.11 log CFU/cm2) followed by 6% SA + 0.08% EO (1.02 ± 0.08 log CFU/cm2) in Salmonella populations on raw chicken. More than 6 log CFU/coupon of attached Salmonella were inactivated by mixtures of 0.25% PA + 0.02% EO and 1.5% SA + 0.02% EO.ConclusionThe combinations of PA+EO and SA+EO both exhibited strong anti-Salmonella activity in cell suspensions, on cells attached to stainless steel, and were effective in reducing Salmonella populations on raw chicken. Therefore, these antimicrobial combinations merit further research for raw poultry, meat, and other sanitation applications.

G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits

Huntington's Disease (HD) is a neurodegenerative disorder with serious motor, cognitive, and behavioral symptoms. Chorea, a motor symptom of HD characterized by abrupt involuntary movements, is typically treated with tetrabenazine or certain off-label antipsychotics. Clinical trial evidence about the impact of these drugs in the HD population is scant. However, multiple observational HD registries have recently been used with success to model HD progression^1,2 and provide an opportunity to obtain effect estimates in the absence of clinical trials. We use a dataset integrated from four large-scale HD registries to generate evidence on the efficacy of chorea treatments for chorea as well as their impact on other aspects of HD progression. Clinical conclusions are meant only to illustrate our methodological approach. We employ parametric G-computation for causal inference to adjust for confounding and accommodate irregular visits and treatment patterns. We fit Bayesian hierarchical models to the results of multiple related analyses to share strength across studies and handle multiple comparisons concerns.

Exploring light confinement in laser-processed LYSO:Ce for photon counting CT application

With the goal of developing a low-cost scintillator-based photon counting detector (PCD) with high dose efficiency suitable for CT, the light transport characteristics in LYSO:Ce detectors containing laser induced optical barriers (LIOB) are simulated. Light confinement and light collection efficiencies (LCE) are studied for a variety of optical barrier patterns and properties (refractive index (RI) and barrier/crystal interface roughness). Up to 80% confinement is achievable with a simple pixel pattern with one barrier wall separating each pixel coupled one-to-one to a photodetector (PD) pixel. Confinement is heavily dependent on barrier properties, and rough interfaces and higher RI results in increased cross-talk. Three approaches to enhance performance beyond the basic pattern are explored: (1) Multiple barrier walls separating each crystal pixel. (2) Introduction of long and short range confinement by having multiple crystal pixels per PD pixel. (3) Combination of LIOB and laser ablation (LA). (1) Is effective for rough interfaces where confinement can be increased by up to 24% for double compared to single walls. (2) Results in high confinement in the pixel centered on the PD pixel, but lower confinement closer to the PD edge. This feature may be explored to achieve spatial resolution beyond the PD pixel size using light sharing based positioning algorithms. (3) Can increase confinement for smooth interfaces using a smooth ablation in the bottom part of the crystal. A general trend across all configurations is a trade-off between light confinement and LCE. The LCE attainable is found comparable to that for mechanically pixelated arrays. While the confinement achievable with LIOB is always lower compared to a mechanically pixelated array, the former may offer a high level of flexibility in terms of detector design. This, in combination with the possibility to fabricate sub-mm pixels in a cost-effective manner, makes LIOB a promising technology for scintillator-based PCDs.

Solitary ulnar shortening osteotomy for malunion of distal radius fractures: experience of a centre in the UK and review of the literature

INTRODUCTION

Isolated ulnar shortening osteotomies can be used to treat ulnocarpal abutment secondary to radial shortening following distal radius fractures. Given the increase of fragility distal radius fractures awareness of treating the sequelae of distal radius fractures is important. We present the largest reported case series in the UK of ulnar shortening osteotomies for this indication.

MATERIALS AND METHODS

Twenty patients with previous distal radial fractures were included, who presented with wrist pain and radiologically evident positive ulnar variance secondary to malunion of the distal radius with no significant intercalated instability. Patients were treated with a short oblique ulnar shortening osteotomy, using a Stanley jig and small AO compression plate system. Pre- and postoperative radiographical measurements of inclination, dorsal/volar angulation and ulnar variance were made. Patients were scored pre- and postoperatively using the Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) and Patient-Rated Wrist Evaluation scores by two orthopaedic surgeons. Mean follow-up was 24 months after surgery.

RESULTS

Radiographical analysis revealed a change in the ulnar variance with an average reduction of 5.74 mm. Mean preoperative scores were 61.1 (range 25-95.5) for QuickDASH and 70.4 (range 33-92) for Patient-Rated Wrist Evaluation. At the latest follow-up, mean postoperative QuickDASH scores were 10.6 (range 0-43.2) and 17.2 (range 0-44) for Patient-Rated Wrist Evaluation. Differences in scores after surgery for both QuickDASH and Patient-Rated Wrist Evaluation were statistically significant (P < 0.01).

CONCLUSIONS

The ulnar shortening osteotomy is a relatively simple procedure compared with corrective radial osteotomy, with a lower complication profile. In our series, patients showed significant improvement in pain and function by correcting the ulnar variance thus preventing ulna-carpal impaction.

A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data

Objective

Chronic diseases often have long durations with slow, nonlinear progression and complex, and multifaceted manifestation. Modeling the progression of chronic diseases based on observational studies is challenging. We developed a framework to address these challenges by building probabilistic disease progression models to enable better understanding of chronic diseases and provide insights that could lead to better disease management.

Materials and Methods

We developed a framework to build probabilistic disease progression models using observational medical data. The framework consists of two steps. The first step determines the number of disease states. The second step builds a probabilistic disease progression model with the determined number of states. The model discovers typical states along the trajectory of the target disease, learns the characteristics of these states, and transition probabilities between the states. We applied the framework to an integrated observational HD dataset curated from four recent observational HD studies.

Results

The resulting HD progression model identified nine disease states. Compared to state-of-art HD staging system, the model 1) covers wider range of HD progression; 2) is able to quantitatively describe complex changes around the time of clinical diagnosis; 3) discovers multiple potential HD progression pathways; and 4) reveals expected time durations of the identified states.

Discussion and Conclusion

The proposed framework addresses practical challenges in observational data and can help enhance the understanding of progression of chronic diseases. The framework could be applied to other chronic diseases with the help of clinical knowledge.

An instrumented glove for monitoring hand function

The measurement of hand kinematics is important for the assessment and rehabilitation of the paralysed hand. The traditional method of hand function assessment uses a mechanical or electronic goniometer placed across the joint of interest to measure the range of joint movement. Mechanical goniometers are imprecise and lack the ability to provide a dynamic measurement; electronic goniometers are expensive and cumbersome to use during therapy. An alternative to the goniometric based assessment is to use inertial motion sensors to monitor the hand movement-these can be incorporated in a glove. In this paper, we present the design of an instrumented glove equipped with Magnetic, Angular Rate and Gravity (MARG) sensors for the objective evaluation of hand function. The instrumented glove presented in this paper is designed to assess the range of movement of the hand and also monitor the hand function during the course of hand rehabilitation. Static and dynamic calibrations were performed for the Euler angles calculated from the MARG sensors. The results are also presented for physiological flexion/extension of the wrist (relative roll), flexion/extension of elbow (relative pitch), and internal rotation/external rotation (relative yaw). The static calibration results gave mean absolute errors of 4.1° for roll, 4.0° for pitch, and 4.6° for yaw. From the dynamic calibration, the speed of response to a step change gave a convergence time of 0.4 s; sinusoidally oscillating movement gave good tracking at 0.2 Hz but exhibits overshoot errors at higher frequencies which were tested to be 1 Hz. We present the results of the calibration of the instrumented glove (one sensor pair measuring one joint angle) measuring anatomical joint angles-mean absolute errors during static calibration: 6.3° for a relative roll (wrist flexion/extension), 5.0° for relative pitch (elbow flexion/extension), and 4.5° for relative yaw (shoulder internal rotation/external rotation). The experimental results from the instrumented glove are promising, and it can be used as an alternative to the traditional goniometer based hand function assessments.

An instrumented object for hand exercise and assessment using a pneumatic pressure sensor

Measurement of grip force is important for both exercise training and assessment of the hand during physical rehabilitation. The standard method uses a grip dynamometer which measures the force between the fingers and opposing thumb. The primary limitation of the grip dynamometer is the restriction of measurement to cylindrical grasps. Any deformation of the hand due to muscular or skeletal disease makes the grip dynamometer difficult or impossible to use. An alternative to the grip dynamometer is a sealed pneumatic object that can be gripped by the hand. Measurement of the internal pressure in the object can be related to the grip force. In this paper, we analyze such a pneumatic pressure sensing object for hand grip assessment and also describe an easy fabrication of the grip sensor. The instrumented object presented in this paper is designed to assess both the maximal voluntary grip forces and continuous grip force to monitor control of hand function during exercise under instruction from a therapist. Potential uses of such a pneumatic pressure sensing object for hand grip are in physical rehabilitation of patients following paralysing illnesses like stroke and spinal cord injury.

An image-based model of brain volume biomarker changes in Huntington's disease

Objective

Determining the sequence in which Huntington's disease biomarkers become abnormal can provide important insights into the disease progression and a quantitative tool for patient stratification. Here, we construct and present a uniquely fine‐grained model of temporal progression of Huntington's disease from premanifest through to manifest stages.

Methods

We employ a probabilistic event‐based model to determine the sequence of appearance of atrophy in brain volumes, learned from structural MRI in the Track‐HD study, as well as to estimate the uncertainty in the ordering. We use longitudinal and phenotypic data to demonstrate the utility of the patient staging system that the resulting model provides.

Results

The model recovers the following order of detectable changes in brain region volumes: putamen, caudate, pallidum, insula white matter, nonventricular cerebrospinal fluid, amygdala, optic chiasm, third ventricle, posterior insula, and basal forebrain. This ordering is mostly preserved even under cross‐validation of the uncertainty in the event sequence. Longitudinal analysis performed using 6 years of follow‐up data from baseline confirms efficacy of the model, as subjects consistently move to later stages with time, and significant correlations are observed between the estimated stages and nonimaging phenotypic markers.

Interpretation

We used a data‐driven method to provide new insight into Huntington's disease progression as well as new power to stage and predict conversion. Our results highlight the potential of disease progression models, such as the event‐based model, to provide new insight into Huntington's disease progression and to support fine‐grained patient stratification for future precision medicine in Huntington's disease.

Novel use of bioelectric impedence technique to detect alterations in body composition in advanced small cell lung cancer

BACKGROUND

Malnutrition is frequent in lung cancer and is measured using various tools, including the novel bioelectric impedance technique for measuring body composition. However, the validation of this technique for assessing body composition in advanced small cell lung cancer (SCLC) is untested.

METHODS

Forty-one treatment naïve patients (all males) and an equal number of age- and sex-matched controls were evaluated by anthropometric measurements of skinfold thicknesses and body composition parameters such as body fat%, fat mass, fat-free mass (FFM), and total body water (TBW).

RESULTS

The mean (SD) age of the patient group was 55.7 (7.5) years, median pack-years was 20 (range, 0-80), and mean (SD) duration of symptoms was 152.6 (153.7) days. Median Karnofsky Performance Scale was 70 (range, 50-90). Majority of our patients (68.3%) were Stage IV followed by Stage III (31.7%). The percentage of patients with low, normal, and high body mass index (BMI) was 31.7%, 61%, and 7.3%, respectively. All components of body composition, i.e., body fat%, FFM, and TBW were significantly lower in patients compared to controls. However, the body composition in patients and controls with normal BMI was similar. The phenomenon of sarcopenia as a cause of cancer cachexia may explain these findings, whereas the combination of loss of body fat and lean body mass may lead to weight loss and reduced BMI.

CONCLUSION

Our results indicate that body composition is markedly altered in Indian patients with advanced SCLC. The impact of these parameters on clinically relevant outcomes needs further evaluation.