Surgical Management of a Traumatic Retropharyngeal Hematoma in a Patient on Dual Antiplatelet Therapy: A Case Report.

The authors present a case report of a 73-year-old male on dual antiplatelet therapy with a retropharyngeal hematoma after a motor vehicle accident. We highlight the clinical, radiographic manifestations, and surgical management of retropharyngeal hematomas, especially on an initially asymptomatic patient. Additionally, we demonstrate the importance of establishing a secure airway early on, and multidisciplinary collaboration to maximize patient outcomes.

Antibacterial polypeptide-bioparticle for oral administration: Powder formulation, palatability and in vivo toxicity approach.

The upsurge of bacterial resistance to conventional antibiotics turned a well-recognized public health threat. The need of developing new biomaterials of effective practical use in order to tackle bacterial resistance became urgent. In this study, a submicrometric bioparticle of known antibacterial activity was produced in powder form with suitable texture and appealing characteristics for effective oral administration. Through complex coacervating a natural-source antimicrobial polypeptide with chitosan-N-arginine and alginate, the bioactive polypeptide was physically incorporated to the bioparticle whose structure positively responds to the pH variations found in gastrointestinal tract. The powder formulation presented high palatability that was evaluated using fish as in vivo animal model. A thorough survey of the fish intestinal tissues, following a systematic oral administration, revealed high penetration potential of the biomaterial through epithelial cells and deeper intestine layers. Despite, no cytotoxic effect was observed in analyzing the tissues through different histology methods. The absence of intestinal damage was corroborated by immune histochemistry, being the integrity of epithelial motor myosin Vb and related traffic proteins preserved. Hematology further endorsed absence of toxicity in blood cells whose morphology was evaluated in detail. The study evidenced the applicability potential of a new biomaterial of appealing and safe oral administration of antibacterial polypeptide.

Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning.

INTRODUCTION: In the UK alone, the incidence of cervical cancer is increasing, hence an urgent need for early and rapid detection of cancer before it develops. Spectroscopy in conjunction with machine learning offers a disruptive technology that promises to pick up cancer early as compared to the current diagnostic techniques used. AREAS COVERED: This review article explores the different spectroscopy techniques that have been used for the analysis of cervical cancer. Along with the extensive description of spectroscopic techniques, the various machine learning techniques are also described as well as the applications that have been explored in the diagnosis of cervical cancer. This review delimits the literature specifically associated with cervical cancer studies performed solely with the use of a spectroscopy technique, and machine learning. EXPERT OPINION: Although there are several methods and techniques to detect cervical cancer, the clinical sector requires to introduce new diagnostic technologies that help improve the quality of life of patients. These innovative technologies involve spectroscopy as a qualitative method and machine learning as a quantitative method. In this article, both the techniques and methodologies that allow and promise to be a new screening tool for the detection of cervical cancer are covered.

What Risk Factors Are Associated With Poorer Quality of Life in Patients With Head and Neck Cancer?

PURPOSE: Head and neck cancer (HNCA), as well as the sequelae of its treatment, has a significant negative impact on the quality of life (QOL) for patients. We aim to identify patient and surgical factors negatively influencing QOL of patients with HNCA. MATERIALS AND METHODS: A cross-sectional study was used to identify specific risk factors associated with a poorer QOL. The University of Michigan Head and Neck Quality of Life (HNQOL) instrument was used to assess QOL. Predictor variables included risk factors (smoking, alcohol, past medical history), demographic (sex, age, marital status), anatomical features (tumor location, tumor stage), perioperative adjuncts (utilization of a feeding tube, tracheostomy, neck dissection), and postoperative adjuncts (chemotherapy or radiation therapy utilization). The primary outcome variable was the HNQOL score. Descriptive statistics were completed for all the variables. Association between the predictor variables and HNQOL scores were examined using bivariate statistics, and statistical significance was set at P < .05. RESULTS: The study sample composed of 78 patients with HNCA who underwent surgery at Head and Neck Maxillofacial and Reconstructive Surgery Clinic at Ascension Macomb-Oakland from January 2017 to August 2018. Of the 78 patients meeting inclusion, 31 patients completed the HNQOL survey. The median HNCA QOL score was 18 with a maximum score of 80, representing a worse QOL. Radiation therapy (21 vs 5.5, P = .033), and perioperative feeding tube (31 vs 9, P = .012) had statistically significant negative impacts on QOL scores. Variables associated with poorer QOL scores in descending order: radiation therapy perioperative feeding tube utilization of chemotherapy (12.5 vs 9.0, P = .60), male gender (17 vs 9.5, P = .39), perioperative tracheostomy (26 vs 14.5 P = .26), tobacco use (19.5 vs 11.5, P = .81), single marital status (27 vs 16, P = .48), neck dissection (17.5 vs 15.5, P = .91), and alcohol use (18.5 vs 16.0, P = .65). CONCLUSIONS: Feeding tube and radiotherapy utilization had a statistically significant decrease of QOL scores among patients with HNCA. Additional risk factors associated with poorer QOL include chemotherapy, male sex, tracheostomy utilization, tobacco use, single or divorced marital status, neck dissection, and alcohol abuse.

Efficient Treatment of Fish Intestinal Parasites Applying a Membrane-Penetrating Oral Drug Delivery Nanoparticle.

Nanodelivery of drugs aims to ensure drug stability in the face of adverse biochemical conditions in the course of administration, concomitant with appropriate pharmacological action provided by delivery at the targeted site. In this study, the application potential of a nanoparticle produced with biopolymers chitosan-N-arginine and alginate as an oral drug delivery material is evaluated. Both macromolecules being weak polyelectrolytes, the nanoparticle presents strong thermodynamic interactions with a biological model membrane consisting of a charged lipid liposome bilayer, leading to membrane disruption and membrane penetration of the nanoparticles in ideal conditions of pH corresponding to the oral route. The powder form of the nanoparticle was obtained by lyophilization and with a high percentage of entrapment of the anthelmintic drug praziquantel. In vivo studies were conducted with oral administration to Corydoras schwartzi fish with high intensity of intestinal parasites infection. The in vivo experiments confirmed the mucoadhesive and revealed membrane-penetrating properties of the nanoparticle by translocating the parasite cyst, which provided target drug release and reduction of over 97% of the fish intestinal parasites. Thus, it was evidenced that the nanoparticle was effective in transporting and releasing the drug to the target, providing an efficient treatment.

Complexation of a Polypeptide-Polyelectrolytes Bioparticle as a Biomaterial of Antibacterial Activity.

The development of biomaterials to enable application of antimicrobial peptides represents a strategy of high and current interest. In this study, a bioparticle was produced by the complexation between an antimicrobial polypeptide and the biocompatible and biodegradable polysaccharides chitosan-N-arginine and alginate, giving rise to a colloidal polyelectrolytic complex of pH-responsive properties. The inclusion of the polypeptide in the bioparticle structure largely increases the binding sites of complexation during the bioparticles production, leading to its effective incorporation. After lyophilization, detailed evaluation of colloidal structure of redispersed bioparticles evidenced nano or microparticles with size, polydispersity and zeta potential dependent on pH and ionic strength, and the dependence was not withdrawn with the polypeptide inclusion. Significant increase of pore edge tension in giant vesicles evidenced effective interaction of the polypeptide-bioparticle with lipid model membrane. Antibacterial activity against Aeromonas dhakensis was effective at 0.1% and equal for the isolated polypeptide and the same complexed in bioparticle, which opens perspectives to the composite material as an applicable antibacterial system.

Infrared Spectroscopy of Urine for the Non-Invasive Detection of Endometrial Cancer.

Current triage for women with post-menopausal bleeding (PMB) to diagnose endometrial cancer rely on specialist referral for intimate tests to sequentially image, visualise and sample the endometrium. A point-of-care non-invasive triage tool with an instant readout could provide immediate reassurance for low-risk symptomatic women, whilst fast-tracking high-risk women for urgent intrauterine investigations. This study assessed the potential for infrared (IR) spectroscopy and attenuated total reflection (ATR) technology coupled with chemometric analysis of the resulting spectra for endometrial cancer detection in urine samples. Standardised urine collection and processing protocols were developed to ensure spectroscopic differences between cases and controls reflected cancer status. Urine spectroscopy distinguished endometrial cancer (n = 109) from benign gynaecological conditions (n = 110) with a sensitivity of 98% and specificity of 97%. If confirmed in subsequent low prevalence studies embedded in PMB clinics, this novel endometrial cancer detection tool could transform clinical practice by accurately selecting women with malignant pathology for urgent diagnostic work up whilst safely reassuring those without.

Does Transcervical Styloidectomy for Eagle Syndrome Improve Quality of Life?

PURPOSE: Eagle syndrome is an uncommon disorder that significantly impacts the quality of life (QoL) of patients. No formal QoL study has been carried out on a population of Eagle syndrome patients treated via transcervical approach. We aim to evaluate and analyze the outcomes of the patients with Eagle syndrome treated with transcervical styloidectomy via our modified QoL survey. METHODS: A retrospective cohort study was utilized for patients with Eagle syndrome who underwent transcervical styloidectomy at our institution from January 2008 until December 2018. Two QoL surveys were sent to subjects. Patients were asked preoperatively and postoperatively about the presence and intensity of pain, alteration of speech, diet or chewing, limitations of daily activity, mobility or recreation, and the presence of anxiety or mood disturbances related to the disease. The styloid length on preoperative computed tomography scans and the length of the surgical specimen were obtained, and correlations with the Numeric Pain Rating Scale (NPRS) were analyzed. Spearman's rank correlation coefficient was used to determine numerical correlation. Data are expressed as mean ± standard deviation, and P value less than .05 was considered statistically significant. RESULTS: The study sample comprised 10 patients with Eagle syndrome who underwent transcervical styloidectomy. Eight patients underwent unilateral styloidectomy, and 2 patients were bilateral. Most patients were female (80%) with a mean age of 46.0. Preoperative NPRS score averaged 5.5 ± 2.7 (range 1 to 10) and postoperative NPRS was 2.1 ± 1.4 (range 0 to 4) (P = .008). No correlation was found between preoperative or postoperative NRPS score and preoperative styloid length and length of styloid resected. QoL survey showed a significant improvement in neck mobility and the anxiety felt by the patients. The survey showed that all patients would recommend surgery to a friend or family member with similar symptoms. Seven patients (70%) would recommend the operation as primary treatment, and the rest would recommend it after conservative options fail. CONCLUSIONS: Transcervical styloidectomy was associated with a statistically significant decrease in NPRS and positive QoL changes for patients operated for Eagle syndrome at our institution.

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms.

Breast cancer is one the main death causes for women worldwide, as 16% of the diagnosed malignant lesions worldwide are its consequence. In this sense, it is of paramount importance to diagnose these lesions in the earliest stage possible, in order to have the highest chances of survival. While there are several works that present selected topics in this area, none of them present a complete panorama, that is, from the image generation to its interpretation. This work presents a comprehensive state-of-the-art review of the image generation and processing techniques to detect Breast Cancer, where potential candidates for the image generation and processing are presented and discussed. Novel methodologies should consider the adroit integration of artificial intelligence-concepts and the categorical data to generate modern alternatives that can have the accuracy, precision and reliability expected to mitigate the misclassifications.

A Case Study in Breast Density Evaluation Using Bioimpedance Measurements.

(1) Background: As breast cancer studies suggest, a high percentage of breast density (PBD) may be related to breast cancer incidence. Although PBD screening is one of the strongest predictors of breast cancer risk, X-ray-based mammography evaluation is subjective. Therefore, new objective PBD measuring techniques are of interest. A case study analyzing the PBD of thirteen female participants using a bioimpedance-based method, the anomalies tracking circle (ATC), is described in this paper. (2) Methods: In the first stage, the breast bioimpedance of each participant was measured. Then, the participant breast density was determined by applying a mammogram just after the breast bioimpedance measurement stage. In the third stage, the ATC algorithm was applied to the measured bioimpedance data for each participant, and a results analysis was done. (3) Results: An ATC variation according to the breast density was observed from the obtained data, this allowed the use of classification techniques to determine the PBD. (4) Conclusions: The described breast density method is a promising approach that might be applied as an auxiliary tool to the mammography in order to obtain precise and objective results for evaluation of breast density and with that determine potential breast cancer risk.

Concordance between tomographic and surgical AAST injury grades in liver, spleen, and kidney due to blunt abdominal trauma / Concordancia entre los grados de lesión AAST tomográficos y quirúrgicos en hígado, bazo y riñón por trauma cerrado de abdomen

OBJETIVO: Determinar la concordancia entre los grados de lesión de la escala AAST (American Association for the Surgery of Trauma) tomográficos y quirúrgicos en lesiones hepáticas, esplénicas y renales por trauma abdominal cerrado. Método: Estudio prospectivo, unicéntrico, observacional, comparativo y transversal, en pacientes mayores de 15 años con lesión hepática, esplénica o renal por trauma abdominal cerrado, sometidos a tomografía abdominal y posterior laparotomía exploradora, en quienes se determinó la concordancia de los grados de lesión AAST tomográficos y quirúrgicos de estos órganos, de marzo de 2017 a diciembre de 2020, en el Hospital Civil de Culiacán, Sinaloa, México. RESULTADOS: Se incluyeron 48 pacientes, con una edad promedio de 27.9 ± 10.9 años; de ellos, 41 eran hombres (85%). La lesión esplénica fue la más frecuente, en 30 pacientes (63%), seguida de la hepática en 20 (42%) y la renal en 15 (31%). La concordancia del grado de lesión AAST entre la tomografía y la cirugía fue baja o moderada, con valores kappa de 0.234 (p < 0.001), 0.419 (p < 0.001) y 0.415 (p < 0.001) para las lesiones hepáticas, esplénicas y renales, respectivamente. CONCLUSIONES: Los grados de lesión AAST tomográficos y quirúrgicos en el hígado, el bazo y los riñones por trauma abdominal cerrado tienen baja y moderada concordancia, y los grados tomográficos son menores que los quirúrgicos.

High compliance and effective treatment of fish endoparasitic infections with oral drug delivery nanobioparticles: Safety of intestinal tissue and blood parameters.

Parasite infections in fish require constant surveillance and strategies for efficient treatments which guarantee the fish health, their sale value and the non-propagation of pathogens in new environments. Fish treatments based on nanotechnology become of increasing interest since nanoparticles have been shown as efficient materials for optimizing administration of bioactives. In this study a chitosan derivative, alginate and praziquantel conjugated nanobioparticle of effective action for oral treatment of digenetic trematodes in highly infected Corydoras schwartzi was evaluated in terms of histological and hematological safety. The inherent absence of alterations in intestinal tissue and the reversible blood cells counting during a period up to 35 days showed the safety of the drug delivery nanobioparticles, which thus represent a promising strategy for effective applications in pathogens treatments by oral administration.

An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals.

The economic and personal consequences that a car accident generates for society have been increasing in recent years. One of the causes that can generate a car accident is the stress level the driver has; consequently, the detection of stress events is a highly desirable task. In this article, the efficacy that statistical time features (STFs), such as root mean square, mean, variance, and standard deviation, among others, can reach in detecting stress events using electromyographical signals in drivers is investigated, since they can measure subtle changes that a signal can have. The obtained results show that the variance and standard deviation coupled with a support vector machine classifier with a cubic kernel are effective for detecting stress events where an AUC of 0.97 is reached. In this sense, since SVM has different kernels that can be trained, they are used to find out which one has the best efficacy using the STFs as feature inputs and a training strategy; thus, information about model explain ability can be determined. The explainability of the machine learning algorithm allows generating a deeper comprehension about the model efficacy and what model should be selected depending on the features used to its development.

Safety of oral administration of high doses of ivermectin by means of biocompatible polyelectrolytes formulation.

The FDA-approved drug ivermectin is applied for treatments of onchocerciasis and lymphatic filariasis. The anti-cancer and anti-viral activities have been demonstrated stressing possibilities for the drug repurposing and therefore new information on high dosage safety is on demand. We analyzed in vivo tissue responses for high doses of ivermectin using Corydoras fish as animal model. We made intestinal histology and hematologic assays after oral administration of ivermectin transported with polyelectrolytes formulation. Histology showed any apparent damage of intestinal tissues at 0.22-170 mg of ivermectin/kg body weight. Immunofluorescence evidenced delocalization of Myosin-Vb at enterocytes only for the higher dose. Hematology parameters showed random variations after 7 days from administration, but a later apparent recover after 14 and 21 days. The study evaluated the potential of high doses of oral administration of ivermectin formulation, which could be an alternative with benefits in high compliance therapies.

A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection.

Heart diseases are among the most common death causes in the population. Particularly, sudden cardiac death (SCD) is the cause of 10% of the deaths around the world. For this reason, it is necessary to develop new methodologies that can predict this event in the earliest possible stage. This work presents a novel methodology to predict when a person can develop an SCD episode before it occurs. It is based on the adroit combination of the empirical mode decomposition, nonlinear measurements, such as the Higuchi fractal and permutation entropy, and a neural network. The obtained results show that the proposed methodology is capable of detecting an SCD episode 25 min before it appears with a 94% accuracy. The main benefits of the proposal are: (1) an improved detection time of 25% compared with previously published works, (2) moderate computational complexity since only two features are used, and (3) it uses the raw ECG without any preprocessing stage, unlike recent previous works.

Local and nonlocal counterparts of global descriptors: the cases of chemical softness and hardness.

A new strategy, recently reported by us to develop local and linear (nonlocal) counterparts of global response functions, is applied to study the local behavior of the global softness and hardness reactivity descriptors. Within this approach a local counterpart is designed to identify the most important molecular fragments for a given chemical response. The local counterpart of the global softness obtained through our methodology corresponds to the well-known definition of local softness and, in agreement with what standard conceptual chemical reactivity in density functional theory dictates, it simply reveals the softest sites in a molecule. For the case of the local hardness, we obtain two expressions that lead to different information regarding the values of the hardness at the different sites within a chemical species. The performance of these two proposal were tested by comparing their corresponding atom-condensed values to experimentally observed reactivity trends for electrophilic attack on benzene and ethene derivatives.

A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals.

Sudden cardiac death (SCD) is one of the main causes of death among people. A new methodology is presented for predicting the SCD based on ECG signals employing the wavelet packet transform (WPT), a signal processing technique, homogeneity index (HI), a nonlinear measurement for time series signals, and the Enhanced Probabilistic Neural Network classification algorithm. The effectiveness and usefulness of the proposed method is evaluated using a database of measured ECG data acquired from 20 SCD and 18 normal patients. The proposed methodology presents the following significant advantages: (1) compared with previous works, the proposed methodology achieves a higher accuracy using a single nonlinear feature, HI, thus requiring low computational resource for predicting an SCD onset in real-time, unlike other methodologies proposed in the literature where a large number of nonlinear features are used to predict an SCD event; (2) it is capable of predicting the risk of developing an SCD event up to 20 min prior to the onset with a high accuracy of 95.8%, superseding the prior 12 min prediction time reported recently, and (3) it uses the ECG signal directly without the need for transforming the signal to a heart rate variability signal, thus saving time in the processing.

Reply to the 'Comment on "Revisiting the definition of local hardness and hardness kernel"' by C. Morell, F. Guégan, W. Lamine, and H. Chermette, Phys. Chem. Chem. Phys., 2018, 20, DOI.

This reply complements the comment of Guégan et al. about our recent work on the revision of the local hardness and the hardness kernel concepts. Guegan et al. analyze our work using a Taylor series expansion of the energy as a functional of the electron density, to show that our procedure opens a new way to define local descriptors. In this contribution we show that the strategy we followed for the local hardness and the hardness kernel is even more general, and that it can be used to derive from a global response function its corresponding local and non-local counterparts by: (1) requiring that the integral over one of the two variables that characterizes the non-local function leads to the local function, and that the integral over the local function leads to the global response index, and (2) assuming that the global and local functions are related through the electronic density, by making use of the chain rule for functional derivatives.

New Fukui, dual and hyper-dual kernels as bond reactivity descriptors.

We define three new linear response indices with promising applications for bond reactivity using the mathematical framework of τ-CRT (finite temperature chemical reactivity theory). The τ-Fukui kernel is defined as the ratio between the fluctuations of the average electron density at two different points in the space and the fluctuations in the average electron number and is designed to integrate to the finite-temperature definition of the electronic Fukui function. When this kernel is condensed, it can be interpreted as a site-reactivity descriptor of the boundary region between two atoms. The τ-dual kernel corresponds to the first order response of the Fukui kernel and is designed to integrate to the finite temperature definition of the dual descriptor; it indicates the ambiphilic reactivity of a specific bond and enriches the traditional dual descriptor by allowing one to distinguish between the electron-accepting and electron-donating processes. Finally, the τ-hyper dual kernel is defined as the second-order derivative of the Fukui kernel and is proposed as a measure of the strength of ambiphilic bonding interactions. Although these quantities have never been proposed, our results for the τ-Fukui kernel and for τ-dual kernel can be derived in zero-temperature formulation of the chemical reactivity theory with, among other things, the widely-used parabolic interpolation model.