Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

This study aims to advance the field of digital wound care by developing and evaluating convolutional neural network (CNN) architectures for the automatic classification of maceration, a significant wound healing complication, in 458 annotated wound images. Detection and classification of maceration can improve patient outcomes. Several CNN models were compared and MobileNetV2 emerged as the top-performing model, achieving the highest accuracy despite having fewer parameters. This finding underscores the importance of considering model complexity relative to dataset size. The study also explored the role of image cropping and the use of Grad-CAM visualizations to understand the decision-making process of the CNN. From a medical perspective, results indicate that employing CNNs for classification of maceration may enhance diagnostic accuracy and reduce the clinicians' time and effort.

Examining driver injury severity in motor vehicle crashes: A copula-based approach considering temporal heterogeneity in a developing country context.

Using data from a developing country, the current study develops a copula-based joint modeling framework to study crash type and driver injury severity as two dimensions of the severity process. To be specific, a copula-based multinomial logit model (for crash type) and generalized ordered logit model (for driver severity) is estimated in the study. The data for our analysis is drawn from Bangladesh for the years of 2000 to 2015. Given the presence of multiple years of data, we develop a novel spline variable generation approach that facilitates easy testing of variation in parameters across time in crash type and severity components. A comprehensive set of independent variables including driver and vehicle characteristics, roadway attributes, environmental and weather information, and temporal factors are considered for the analysis. The model results identify several important variables (such as driving under the influence of drug and alcohol, speeding, vehicle type, maneuvering, vehicle fitness, location type, road class, road geometry, facility type, surface quality, time of the day, season, and light conditions) affecting crash type and severity while also highlighting the presence of temporal instability for a subset of parameters. The superior model performance was further highlighted by testing its performance using a holdout sample. Further, an elasticity exercise illustrates the influence of the exogenous variables on crash type and injury severity dimensions. The study findings can assist policy makers in adopting appropriate strategies to make roads safer in developing countries.

Validation of the China mortality prediction model in trauma based on the ICD-10-CM codes.

The China mortality prediction model in trauma, based on the International Classification of Diseases, Tenth Revision, Clinical Modification lexicon (CMPMIT-ICD-10), is a novel model for predicting outcomes in patients who experienced trauma. This model has not yet been validated using data acquired from patients at other trauma centers in China. This retrospective study used data retrieved from the Peking University People's Hospital discharge database and included all patients admitted for trauma between 2012 and 2022 for model validation. Model performance was categorized into discrimination and calibration. In total, 23,299 patients were included in this study, with an overall mortality rate of 1.2%. CMPMIT-ICD-10 showed good discrimination and calibration, with an area under the curve of 0.84 (95% confidence interval: 0.82-0.87) and a Brier score of 0.02. The performance of the CMPMIT-ICD-10 during validation was satisfactory, and the application of the model will be scaled up in future studies.

Classification of trauma-related preventable death; protocol of a Delphi procedure.

BACKGROUND: Trauma-related (preventable) death is used to evaluate the management and quality of trauma care worldwide. Therefore, it is necessary to identify fatalities in the trauma care population and assess them on preventability. However, the definition on trauma-related preventable death lacks validity due to differences in terminology and classifications. This study aims to reach consensus on the definition of trauma-related preventable death by performing a Delphi procedure, thereby, improving the assessment of trauma-related preventable death and thereby enhancing the quality of trauma care. METHODS: Based on the results of a recently performed systematic review Hakkenbrak (2021). The definitions used to describe trauma-related preventable death could be divided into four categories: 1) Clinical definition based on panel review or expert opinion, 2) Trauma prediction algorithm, 3) Clinical definition with an additional trauma prediction algorithm and 4) Others (e.g., errors in care or detailed clinical definition). A three round, electronic Delphi study will be performed in the Netherlands to reach consensus. Experts from the department of Trauma surgery, Neurosurgery, Forensic medicine, Anaesthesiology and Emergency medicine, of the designated Level 1 trauma centres in the Netherlands, will be invited to participate. In the first round the panel will comment on the composed categories and trauma prediction algorithms. In the second and third round a feedback report will be presented and the questions with disagreement will be retested. DISCUSSION: The identification and assessment of trauma-related preventable death is necessary to evaluate and improve trauma care. Therefore, a valid, fair, and applicable definition of trauma-related preventable death is required. The Delphi technique is utilized to reach group consensus to obtain a scientifically valid definition of trauma-related preventable death.

Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data.

This cross-sectional study assesses the accuracy, sensitivity, and specificity of a large language model used to process unstructured, non-English emergency department (ED) data in medical records.

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the stratification of trauma injury severity across various body regions using clinical text and structured electronic health records (EHRs) data. MATERIALS AND METHODS: Our study utilized clinical documents and structured EHR variables linked with the trauma registry data to create 2 machine learning models with different approaches to representing text. The first one fuses concept unique identifiers (CUIs) extracted from free text with structured EHR variables, while the second one integrates free text with structured EHR variables. Temporal validation was undertaken to ensure the models' temporal generalizability. Additionally, analyses to assess the variable importance were conducted. RESULTS: Both models demonstrated impressive performance in categorizing leg injuries, achieving high accuracy with macro-F1 scores of over 0.8. Additionally, they showed considerable accuracy, with macro-F1 scores exceeding or near 0.7, in assessing injuries in the areas of the chest and head. We showed in our variable importance analysis that the most important features in the model have strong face validity in determining clinically relevant trauma injuries. DISCUSSION: The CUI-based model achieves comparable performance, if not higher, compared to the free-text-based model, with reduced complexity. Furthermore, integrating structured EHR data improves performance, particularly when the text modalities are insufficiently indicative. CONCLUSIONS: Our multi-modal, multiclass models can provide accurate stratification of trauma injury severity and clinically relevant interpretations.

Estudo da ativação e modulação da resposta imune contra a esporotricose experimental, a partir de vesículas extracelulares purificadas de células dendríticas / Study of the activation and modulation of the immune response against experimental sporotrichosis, using extracellular vesicles purified from dendritic cells

A esporotricose é uma zoonose micótica emergente e subcutânea, que afeta a pele, o sistema linfático e outros órgãos de humanos e animais. Assim como outras doenças infecciosas fúngicas, se torna ainda mais grave quando acomete pacientes imunossuprimidos. Essa infecção possui distribuição global e é endêmica em algumas regiões do Brasil e de outros países tropicais e subtropicais, sendo um problema de saúde pública importante em nosso país. A doença é causada por um complexo de pelo menos quatro espécies patogênicas, incluindo o Sporothrix brasiliensis (S. brasiliensis). A resposta imunológica contra estas espécies ainda não é completamente elucidada, mas estruturas como as vesículas extracelulares (VEs) poderiam transportar componentes importantes que podem contribuir na modulação e no controle desta importante infecção. Assim, o objetivo deste trabalho, é analisar a participação das VEs de células dendríticas (DCs) naive e VEs de DCs previamente primadas com leveduras de S. brasiliensis e primadas com VEs do fungo, na resposta imune contra a esporotricose experimental em modelos murinos. Para isso, as DCs obtidas da medula óssea de camundongos, foram cultivadas com leveduras de S. brasiliensis ou com VEs do fungo e posteriormente, VEs totais das DCs foram purificadas a partir de ultracentrifugação e analisadas quanto a sua participação na modulação da resposta imunológica. Essas VEs foram utilizadas em protocolo profilático em modelos murinos, previamente a infecção subcutânea experimental. Foi observado o diâmetro médio das lesões no decorrer de 35 dias de infecção e a carga fúngica da lesão na pele. Os resultados obtidos mostram que as VEs de DCs naive, e VEs de DCs previamente cultivadas com leveduras do fungo ou com VEs fúngicas, são capazes de modular a carga fúngica. Os grupos que receberam VEs de DCs de forma profilática, de modo geral apresentaram diminuição significativa da carga fúngica em relação ao grupo controle. Na análise comparativa apenas dos grupos que receberam a profilaxia, observa-se que o uso de VEs de DCs naive, resultam em uma carga fúngica maior que o uso de VEs de DCs previamente ativadas, e quando as DCs são ativadas com levedura, essa carga fúngica é a menor. Quando analisamos o perfil de citocinas na pele de camundongos tratados com as VEs previamente a infecção, observamos aumento de IFN-γ, TNF-α, IL-17 e IL-10 principalmente nos animais previamente tratados com VEs de DCs que foram ativadas com leveduras. Em relação às citocinas produzidas, podemos sugerir até o momento, uma resposta imunológica mista, mas que de alguma maneira, ainda não esclarecida, devem contribuir para melhor controle do processo infeccioso in vivo. Em relação a linfoproliferação, observa-se principalmente um aumento de linfócitos T CD4+ quando acrescentamos VEs de DCs que não foram previamente ativadas, mostrando uma ação de uma resposta mais inespecífica. Vale ressaltar que todos os protocolos profiláticos foram capazes de modular e minimizar o crescimento fúngico, quando comparados ao controle, ou seja, as VEs contribuíram com o controle da infecção e agiram a favor do hospedeiro, demonstrando um caráter protetivo

Sporotrichosis is an emerging subcutaneous mycotic zoonosis that affects the skin, lymphatic system, and other organs of humans and animals, and like other infectious fungal diseases, it becomes even more serious when it affects immunosuppressed patients. This infection has a global distribution and is endemic in some regions of Brazil and other tropicals and subtropicals countries, being an important public health problem in our country. The disease is caused by a complex of at least four pathogenic species, including Sporothrix brasiliensis (S. brasiliensis). The immunological response against these species has not yet been completely elucidated, but structures such as extracellular vesicles (EVs) could carry important components that can contribute to the modulation and control of this important infection. Thus, the objective of this work is to analyze the participation of EVs from naïve dendritic cells (DCs) and EVs from DCs previously primed with S. brasiliensis yeast and primed with EVs from the fungus, in the immune response against experimental sporotrichosis in murine models. For this, DCs obtained from the bone marrow of mice were cultivated with S. brasiliensis yeast or EVs from the fungus, and subsequently, total EVs from the DCs were purified through ultracentrifugation and analyzed for their participation in modulating the immune response. These EVs were used in a prophylactic protocol in murine models, before experimental subcutaneous infection. The average diameter of the lesions over 35 days of infection and the fungal load of the lesion on the skin were observed. The results obtained show that EVs from naïve DCs, and EVs from DCs previously cultured with yeast or fungal EVs, are capable of modulating the fungal load. The groups that received EVs from DCs prophylactically generally showed a significant decrease in fungal load compared to the control group. In the comparative analysis of only the groups that received prophylaxis, it was observed that the use of EVs from naïve DCs results in a higher fungal load than the use of EVs from previously activated DCs, and when the DCs are activated with yeast, this load fungal is smaller. When we analyzed the cytokine profile in the skin of mice treated with EVs before infection, we observed an increase in IFN-γ, TNF-α, IL-17, and IL-10, mainly in animals previously treated with EVs from DCs that were activated with yeast. About the cytokines produced, we can so far suggest a mixed immunological response, but in some way, not yet clear, they should contribute to better control of the infectious process in vivo. About lymphoproliferation, an increase in CD4+ T lymphocytes is mainly observed when we add EVs from DCs that were not previously activated, showing a more nonspecific response. It is worth highlighting that all prophylactic protocols were able to modulate and minimize fungal growth, when compared to the control, that is, EVs contributed to the control of the infection and acted in favor of the host, demonstrating a protective character

Tipología de las heridas atendidas en atención primaria: estudio transversal multicéntrico / Typology of wounds treated in primary care: Multicenter cross-sectional study

Introducción La atención a personas con heridas cutáneas es un importante problema de salud que afecta la calidad de vida de los pacientes y de su familia y tiene un gran impacto socioeconómico. Conocer la situación del problema es el primer paso para el planteamiento de diferentes abordajes sanitarios. En nuestro territorio, desde 2010 no se ha realizado ningún tipo de seguimiento sobre las heridas que tratamos, por lo que planteamos conocer la tipología y las características de las heridas activas en población asistida por atención primaria. Métodos Estudio descriptivo transversal multicéntrico realizado en una zona metropolitana de Cataluña en equipos de atención primaria y en residencias. Los participantes fueron todos los pacientes con heridas activas. Se utilizó un registro realizado por enfermeras referentes del paciente. Se realizó un análisis descriptivo de los datos. Resultados Participaron 1.978 personas, que presentaron 2.471 heridas. La prevalencia global fue del 0,22%. En pacientes domiciliarios la prevalencia fue del 3,58%, y en residencias, del 6,56%. El 46,5% fueron lesiones agudas y el 53,4% crónicas, con un tamaño medio de 3,13cm. De las heridas crónicas, 345 (26,2%) tenían una evolución superior a un año. Las lesiones más prevalentes fueron las úlceras venosas en los equipos de atención primaria y las lesiones por presión categoríaII en los centros residenciales. Conclusiones Los resultados de este estudio presentan una realidad objetiva sobre las lesiones que son atendidas en atención primaria, tanto en centros de atención primaria, en domicilio o en residencias, así como su descripción (AU)

Background The care of people with skin wounds is an important health problem, that affect the quality of life of patients and their families, and has a great socioeconomic impact. Knowing the situation of the problem is the first step for different health approaches. In our territory since 2010 no type of follow-up has been carried out on the wounds that we are treating, we propose to know the typology and characteristics of active wounds in the population assisted by Primary Care. Methods Multicenter cross-sectional descriptive study carried out in a metropolitan area of Catalonia in Primary Care Teams and residences. Participants were all patients with active wounds. A record made by the patient's referring nurses was used. A descriptive analysis of the data was performed. Results About 1,978 people participated, presenting 2,471 injuries. The overall prevalence was 0.22%. At home patients, the prevalence was 3.58% and in nursing homes, 6.56%. Of all the lesions, 46.5% were acute and 53.4% chronic, the mean size was 3.13cm. Of the chronic wounds, 345 (26.2%) had an evolution of more than 1year. The most prevalent injuries were venous ulcers in Primary Care Teams and categoryII pressure injuries in residential centers. Conclusions The results of this study present an objective reality about the injuries that are treated in primary care, both in Primary Care Centers, homes or residences, as well as their description (AU)

Development and clinical application of hydrogel formulations containing papain and urea for wound healing

Abstract Hydrogels are used for wound treatment, as they may contain one or more active components and protect the wound bed. Papain is one of the active substances that have been used with this purpose, alongside urea. In this paper, carboxypolymethylene hydrogels containing papain (2% and 10% concentrations) and urea (5% concentration) were produced. Physical-chemical stability was performed at 0, 7, 15 and 30 days at 2-8ºC, 25ºC and 40ºC, as well as the rheological aspects and proteolytic activity of papain by gel electrophoresis. Clinical efficacy of the formulations in patients with lower limb ulcers was also evaluated in a prospective, single-center, randomized, double-blind and comparative clinical trial. The results showed 7-day stability for the formulations under 25ºC, in addition to approximately 100% and 15% of protein activity for 10% and 2% papain hydrogel, respectively. The rheological profile was non-Newtonian for the 10% papain hydrogel tested. There were no significant differences regarding the mean time for healing of the lesions, although 10% papain presented a better approach to be used in all types of tissue present in the wound bed.

Role of Brain Angiotensin-II in Development of Experimental Diabetic Nephropathy in Wistar Rats

Abstract The renin-angiotensin-aldosterone system (RAAS) plays a key role in diabetic nephropathy (DN). Angiotensin-II secreted during the RAAS pathway increases nephropathy. It stimulates oxidative stress which can quench nitric oxide. Reduced nitric oxide level aggravates Ang-II-induced vasoconstriction. Ang-II has also emerged as a central mediator of the glomerular hemodynamic changes that are associated with renal injury. Deletion of ACE2 is also noted due to increased Ang-II level which leads to the development of DN. We hypothesize that nephropathy caused by Ang-II in the periphery may be controlled by brain RAAS. ACE inhibitors and ARBs may show the renoprotective effect when administered through ICV without crossing the blood-brain barrier. DN was observed after 8 weeks of diabetes induction through alloxan. Administration of captopril and valsartan once and in combined therapy for 2 weeks, significantly reduced urine output, blood urea nitrogen, total protein in the urine, serum cholesterol, serum creatinine, serum triglycerides, and kidney/body weight ratio as compared to diabetic control rats. Further, combination therapy significantly increased the body weight and serum nitrate level as compared to diabetic control animals. However, increased ACE2 levels in the brain may reduce the sympathetic outflow and might have decreased the peripheral activity of Ang-II which shows beneficial effects in DN.

Application of a Machine Learning-Based Decision Support Tool to Improve an Injury Surveillance System Workflow.

BACKGROUND: Emergency department (ED)-based injury surveillance systems across many countries face resourcing challenges related to manual validation and coding of data. OBJECTIVE: This study describes the evaluation of a machine learning (ML)-based decision support tool (DST) to assist injury surveillance departments in the validation, coding, and use of their data, comparing outcomes in coding time, and accuracy pre- and postimplementations. METHODS: Manually coded injury surveillance data have been used to develop, train, and iteratively refine a ML-based classifier to enable semiautomated coding of injury narrative data. This paper describes a trial implementation of the ML-based DST in the Queensland Injury Surveillance Unit (QISU) workflow using a major pediatric hospital's ED data comparing outcomes in coding time and pre- and postimplementation accuracies. RESULTS: The study found a 10% reduction in manual coding time after the DST was introduced. The Kappa statistics analysis in both DST-assisted and -unassisted data shows increase in accuracy across three data fields, that is, injury intent (85.4% unassisted vs. 94.5% assisted), external cause (88.8% unassisted vs. 91.8% assisted), and injury factor (89.3% unassisted vs. 92.9% assisted). The classifier was also used to produce a timely report monitoring injury patterns during the novel coronavirus disease 2019 (COVID-19) pandemic. Hence, it has the potential for near real-time surveillance of emerging hazards to inform public health responses. CONCLUSION: The integration of the DST into the injury surveillance workflow shows benefits as it facilitates timely reporting and acts as a DST in the manual coding process.

Morfología de las lesiones iatrogénicas de la vía biliar: aspectos diagnósticos y terapéuticos / Morphology of iatrogenic lesions of the bile duct: diagnostic and therapeutic options

RESUMEN: Las lesiones iatrogénicas de las vías biliares (LIVB), en el curso de una colecistectomía laparoscópica (CL), son complicaciones que causan resultados inesperados para cirujanos un incremento en los riesgos de los pacientes (morbilidad y mortalidad), afectando su calidad de vida. Asimismo, causan situaciones difíciles desde el punto de vista técnico para el cirujano que debe repararlas desde un punto de vista técnico. El objetivo de este manuscrito fue resumir la información referente a las LIVB y describir su morfología y opciones diagnóstico-terapéuticas.

SUMMARY: Iatrogenic Bile duct injuries (IBDI), during laparoscopic cholecystectomy (CL), are complications that cause unexpected results for surgeons, an increment in patient risks (morbidity and mortality), and affect the patient´s quality of life. At the same time, they create difficult situations for the repairing surgeon from a technical point of view. The aim of this manuscript was to summarize the information regarding IBDI and to describe its morphology and diagnostic-therapeutic options.

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following trauma-related admissions with the most notable being the Injury Severity Score (ISS). Although easy to calculate, it requires additional administrative coding. International Classification of Diseases (ICD)-based models such as the Trauma Mortality Prediction Model (TMPM-ICD10) circumvent these limitations, but they use linear modeling, which may not adequately capture the intricate relationships of injuries on mortality. Using ICD-10 coding and machine learning (ML) algorithms, the present study used the National Trauma Data Bank to develop mortality prediction models whose performance was compared with logistic regression, ISS, and TMPM-ICD10. METHODS: The 2015 to 2017 National Trauma Data Bank was used to identify adults following trauma-related admissions. Of 8,021 ICD-10 codes, injuries were categorized into 1,495 unique variables. The primary outcome was in-hospital mortality. eXtreme Gradient Boosting (XGBoost), a ML technique that uses iterations of decision trees, was used to develop mortality models. Model discrimination was compared with logistic regression, ISS, and TMPM-ICD10 using receiver operating characteristic curve and probabilistic accuracy with calibration curves. RESULTS: Of 1,611,063 patients, 54,870 (3.41%) experienced in-hospital mortality. Compared with those who survived, those who died more frequently suffered from penetrating trauma and had a greater number of injuries. The XGBoost model exhibited superior receiver operating characteristic curve (0.863 [95% confidence interval (CI), 0.862-0.864]) compared with logistic regression (0.845 [95% CI, 0.844-0.846]), ISS (0.828 [95% CI, 0.827-0.829]), and TMPM-ICD10 (0.861 [95% CI, 0.860-0.862]) (all p < 0.001). Importantly, the ML model also had significantly improved calibration compared with other methodologies (XGBoost, coefficient of determination (R2) = 0.993; logistic regression, R2 = 0.981; ISS, R2 = 0.649; TMPM-ICD10, R2 = 0.830). CONCLUSION: Machine learning models using XGBoost demonstrated superior performance and calibration compared with logistic regression, ISS, and TMPM-ICD10. Such approaches in quantifying injury severity may improve its utility in mortality prognostication, quality improvement, and trauma research. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; level III.

Aloe vera and wound healing: a brief review

Abstract Aloe vera possesses a great therapeutic importance in traditional medicine. It has attracted the attention of modern medical fields due to its wide pharmacological applications. The bioactive substances in Aloe vera proved to have antioxidant, anti-inflammatory, antibacterial, and antiviral properties. Taken into our consideration the long history of clinical applications of Aloe vera in traditional medicine, especially for promoting the healing of cutaneous wounds with rare adverse effects, it provides a cheap alternative to many expensive synthetic drugs. Recent techniques in tissue engineering created novel scaffolds based on Aloe gel extracts for wound healing applications. Nonetheless, further guided researche is required to foster the development of Aloe vera based scaffolds for the benefit of worldwide populations. Here, I systemically summarize the main events following wounding and the mechanism of action of Aloe vera in promoting the healing process. I hope to provide a solid piece of information that might be helpful for designing new research studies into this topic.

The effects of methanol extract of Galium verum L on cardiac redox state in hypertensive rats

Abstract The aim of this study was to assess the effects of methanol extract of G. verum on redox status of isolated heart of spontaneously hypertensive rats after ischemia. Twenty-four Wistar albino rats were divided into three groups: untreated control rats and rats that received 125 and 250 mg/kg G. verum extract for 4 weeks per os. Index of lipid peroxidation (measured as TBARS) and parameters of antioxidative defence system such as level of reduced glutathione (GSH) and activities of catalase (CAT) and superoxide dismutase (SOD) were spectrophotometrically determined in heart homogenate. The index of lipid peroxidation in heart tissue was lower in both treated groups compared to the control group. On the other hand, the activity of SOD was significantly higher after consumption of both doses, while the activity of CAT was significantly higher only after treatment with a higher dose of extract. Based on our results we might conclude that 4-week treatment with methanol extracts of G. verum has the potential to modulate myocardial redox signaling after ischemia, thus significantly alleviating cardiac oxidative stress and exerting dose-dependent antioxidant properties. Future studies are certainly necessary to fully clarify the role of this plant species in myocardial I-R injury.

Synthesis and characterization of chitosan-PVA hydrogel containing PEGylated recombinant epidermal growth factor on cell culture for wound healing substitute

Abstract The aim of the current study was to assess the physicochemical characteristics and wound healing activity of chitosan-polyvinyl alcohol (PVA) crosslinked hydrogel containing recombinant human epidermal growth factor (rh-EGF) or recombinant mouse epidermal growth factor (rm-EGF). The hydrogels were prepared and analyses were made of the morphological properties, viscosity, water absorption capacity, mechanical and bio-adhesive properties. The viscosity of the formulations varied between 14.400 - 48.500 cPs, with the greatest viscosity values determined in K2 formulation. F2 formulation showed the highest water absorption capacity. According to the studies of the mechanical properties, H2 formulation (0.153±0.018 N.mm) showed the greatest adhesiveness and E2 (0.245±0.001 mj/cm2) formulation, the highest bio-adhesion values. Hydrogels were cytocompatible considering in vitro cell viability values of over 76% on human keratinocyte cells (HaCaT, CVCL-0038) and of over 84% on human fibroblast cells (NIH 3T3, CRL-1658) used as a model cell line. According to the BrdU cell proliferation results, B1 (197.82±2.48%) formulation showed the greatest NIH 3T3 and C1 (167.43±5.89%) formulation exhibited the highest HaCaT cell proliferation ability. In addition, the scratch closure assay was performed to assess the wound healing efficiency of formulation and the results obtained in the study showed that F2 formulation including PEGylated rh-EGF had a highly effective role.

Development and Characterization of a Hydrogel Containing Silver Sulfadiazine for Antimicrobial Topical Applications. Part II: Stability, Cytotoxicity and Silver Release Patterns

Abstract Hydrogels are interesting for use in the treatment of topical wounds due to their virtually zero toxicity, and capacity for extended release of pharmaceuticals. Silver sulfadiazine (SSDZ) is the drug of choice in the treatment of skin burns. The aim of the study was to determine cytotoxicity, antimicrobial activity and stability of a PVA hydrogel with integrated silver sulfadiazine. SSDZ-hydrogels were prepared using 10% (w/w) PVA (either 89% or 99% hydrolyzed) and 1% (w/w) silver sulfadiazine. Cellular viability was assessed via MTS assays, antimicrobial activity via disk-diffusion and accelerated stability tests were carried out with analysis at 0, 30, 60, 90 and 180 days of storage at 40 ± 2 °C and a relative humidity of 75 ± 5%. The parameters evaluated included organoleptic characteristics, moisture, swelling ability, mechanical strength, FTIR, XRD, TGA and DSC, and silver release patterns via XRD and potentiometry. Cell viability tests indicated some cytotoxicity, although within acceptable levels. After 90 days of storage, SSDZ hydrogel samples exhibited a brown coloration, probably due to the formation of Ag or Ag2O nanoparticles. The SSDZ-loaded hydrogels suffered visual and physical changes; however, these changes did not compromise its use as occlusive wound dressings or its antimicrobial properties.

Brain-Based Biotypes of Psychiatric Vulnerability in the Acute Aftermath of Trauma.

OBJECTIVE: Major negative life events, such as trauma exposure, can play a key role in igniting or exacerbating psychopathology. However, few disorders are diagnosed with respect to precipitating events, and the role of these events in the unfolding of new psychopathology is not well understood. The authors conducted a multisite transdiagnostic longitudinal study of trauma exposure and related mental health outcomes to identify neurobiological predictors of risk, resilience, and different symptom presentations. METHODS: A total of 146 participants (discovery cohort: N=69; internal replication cohort: N=77) were recruited from emergency departments within 72 hours of a trauma and followed for the next 6 months with a survey, MRI, and physiological assessments. RESULTS: Task-based functional MRI 2 weeks after a motor vehicle collision identified four clusters of individuals based on profiles of neural activity reflecting threat reactivity, reward reactivity, and inhibitory engagement. Three clusters were replicated in an independent sample with a variety of trauma types. The clusters showed different longitudinal patterns of posttrauma symptoms. CONCLUSIONS: These findings provide a novel characterization of heterogeneous stress responses shortly after trauma exposure, identifying potential neuroimaging-based biotypes of trauma resilience and psychopathology.