Synthesis of carboxymethyl chitosan-guar gum-poly(vinylpyrrolidone) ternary blended hydrogels with antibacterial/anticancer efficacy and drug delivery applications.

Biopolymers have the utmost significance in biomedical applications and blending synthetic polymers has shown favorable characteristics versus individual counterparts. The utilization of the blends can be restricted through the use of toxic chemical agents such as initiators or crosslinkers. In this regard, a chemical agent-free ionizing irradiation is a beneficial alternative for preparing the hydrogels for biomedical applications. In this study, carboxymethyl chitosan (CM-CS), guar gum (GG), and poly(vinylpyrrolidone) (PVP) based ternary blends (TB) were crosslinked using various doses of ionizing irradiation to fabricate hydrogels. The prepared hydrogels were characterized for physicochemical properties, swelling analysis, biological assays, and drug delivery applications. Swelling analysis in distilled water revealed that the hydrogels exhibit excellent swelling characteristics. An in vitro cytocompatibility assay showed that the hydrogels have greater than 90% cell viability for the human epithelial cell line and a decreasing cell viability trend for the human alveolar adenocarcinoma cell line. In addition, the prepared hydrogels possessed excellent antibacterial characteristics against gram-positive Staphylococcus aureus (S. aureus) and gram-negative Escherichia coli (E. coli). Finally, the release studies of anti-inflammatory Quercus acutissima (QA) loaded hydrogels exhibited more than 80% release in phosphate-buffered saline (pH = 7.4). These findings suggest that TB hydrogels can be used as suitable carrier media for different release systems and biomedical applications.

Trajectories of nursing hours over the course of hospitalization and estimated additional nurse staffing requirements to reduce the length of stay.

PURPOSE: The aims of this study are to examine the trajectories of nursing hours per patient day (NHPPD) over the course of hospitalization according to the patient's length of stay (LOS) and to estimate changes in the total nursing hours during hospitalization, average NHPPD, and the number of nurses additionally required when the LOS was reduced by 1 day. DESIGN: This retrospective longitudinal study analyzed patient data collected from a tertiary university hospital located in Seoul, South Korea. The study sample included 11,316 inpatients who were discharged between September 1 and October 31, 2022. METHODS: NHPPD over the course of each patient's hospitalization was estimated using the total score of the Korean Patient Classification System-1 (KPCS-1), which nurses evaluated and recorded every day from admission to discharge. The NHPPD trajectories were examined using linear mixed models to analyze repeated KPCS-1 measurements and control for the effects of patient characteristics. The changes in the average NHPPD when LOS was reduced by 1 day were estimated using maximum and minimum estimations. The impact of a 1-day reduction in LOS on staffing requirements was calculated as the number of nurses additionally required to work each shift and to be hired. FINDINGS: The average LOS was 5.6 days, and the short (1-6 days) and medium (7-14 days) LOS groups accounted for 78.9% and 14.3% of patients, respectively. The NHPPD trajectories showed a "rise-peak-decline" pattern. Patients in the short LOS group received the most NHPPD on day 1 (day of admission) or day 2, whereas the NHPPD for patients in the medium LOS group peaked on days 3-6. After peaking, the NHPPD tended to decrease toward the end of hospitalization, with the least NHPPD on the day of discharge, followed by the day before discharge. When LOS was reduced by 1 day, the average NHPPD was estimated to increase by 7.7-50.0% in the maximum estimation, and 0.9-12.5% in the minimum estimation. In response to a 1-day reduction, 1.10-7.44 nurses were additionally required to care for 100 patients each shift and 5.28-35.70 additional nurses needed to be hired in the maximum estimation. In the minimum estimation, these values were 0.13-1.85 additional nurses per shift and 0.65-8.90 additional nurses to be hired, respectively. CONCLUSIONS: Since NHPPD exhibited a "rise-peak-decline" trajectory, reducing the LOS by 1 day was estimated to increase the average NHPPD and lead to additional staffing requirements. The additional nurse requirement for a 1-day reduction was not constant; instead, it increased with each day subtracted from an already shorter LOS. CLINICAL RELEVANCE: Sufficient nurse staffing is necessary to provide increased NHPPD as a result of shortened LOS. Changes in the LOS should be considered when determining nurse staffing requirements.

Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images.

Nasal endoscopy is routinely performed to distinguish the pathological types of masses. There is a lack of studies on deep learning algorithms for discriminating a wide range of endoscopic nasal cavity mass lesions. Therefore, we aimed to develop an endoscopic-examination-based deep learning model to detect and classify nasal cavity mass lesions, including nasal polyps (NPs), benign tumors, and malignant tumors. The clinical feasibility of the model was evaluated by comparing the results to those of manual assessment. Biopsy-confirmed nasal endoscopic images were obtained from 17 hospitals in South Korea. Here, 400 images were used for the test set. The training and validation datasets consisted of 149,043 normal nasal cavity, 311,043 NP, 9,271 benign tumor, and 5,323 malignant tumor lesion images. The proposed Xception architecture achieved an overall accuracy of 0.792 with the following class accuracies on the test set: normal = 0.978 ± 0.016, NP = 0.790 ± 0.016, benign = 0.708 ± 0.100, and malignant = 0.698 ± 0.116. With an average area under the receiver operating characteristic curve (AUC) of 0.947, the AUC values and F1 score were highest in the order of normal, NP, malignant tumor, and benign tumor classes. The classification performances of the proposed model were comparable with those of manual assessment in the normal and NP classes. The proposed model outperformed manual assessment in the benign and malignant tumor classes (sensitivities of 0.708 ± 0.100 vs. 0.549 ± 0.172, 0.698 ± 0.116 vs. 0.518 ± 0.153, respectively). In urgent (malignant) versus nonurgent binary predictions, the deep learning model achieved superior diagnostic accuracy. The developed model based on endoscopic images achieved satisfactory performance in classifying four classes of nasal cavity mass lesions, namely normal, NP, benign tumor, and malignant tumor. The developed model can therefore be used to screen nasal cavity lesions accurately and rapidly.

Naturally manufactured biochar materials based sensor electrode for the electrochemical detection of polystyrene microplastics.

In recent times, microplastics have become a disturbance to both aquatic and terrestrial ecosystems and the ingestion of these particles can have severe consequences for wildlife, aquatic organisms, and even humans. In this study, two types of biochars were manufactured through the carbonization of naturally found starfish (SF-1) and aloevera (AL-1). The produced biochars were utilized as sensing electrode materials for the electrochemical detection of ∼100 nm polystyrene microplastics (PS). SF-1 and AL-1 based biochars were thoroughly analyzed in terms of morphology, structure, and composition. The detection of microplastics over biochar based electrodes was carried out by electrochemical studies. From electrochemical results, SF-1 based electrode exhibited the detection efficiency of ∼0.2562 µA/µM∙cm2 with detection limit of ∼0.44 nM whereas, a high detection efficiency of ∼3.263 µA/µM∙cm2 was shown by AL-1 based electrode and detection limit of ∼0.52 nM for PS (100 nm) microplastics. Process contributed to enhancing the sensitivity of AL-1 based electrode might associate to the presence of metal-carbon framework over biochar's surfaces. The AL-1 biochar electrode demonstrated excellent repeatability and detection stability for PS microplastics, suggesting the promising potential of AL-1 biochar for electrochemical microplastics detection.

Impact assessment of a primary care physician counseling program for youth population.

This study aimed to investigate the impact of implementing a primary care physician (PCP) counseling program for the youth population with healthcare needs. This quasi-experimental study used a nonequivalent control group pretest-posttest design, and was conducted at Salim Health Innovation Clinic in Seoul between February and October 2019 comprising 46 participating youths (intervention group) and 48 nonparticipating youths (control group). After 6 months of implementation, drinking (alcohol use control) decreased significantly in the intervention group (0.84 points). There was a significant difference in the anxiety level with a decrease of 2.86 and 0.65 points in the intervention and control groups (P = .011) respectively. There was also a significant difference in the health responsibility domain (P = .04). Moreover, a significant difference in self-efficacy level was found with a mean increase of 0.18 and 0.16 points in the intervention and control groups (P = .001), respectively. The youth population is more prone to neglect self-care due to poor physical and mental health status and no hope for the future because of a lack of jobs and rising housing prices. The program reinforces health-promoting behavior for managing stress and practicing eating high-quality meals, regular exercise, and regular health screening, which can help implement continuous and effective healthcare.

Effect of Heating on Physicochemical Property of Aerosols during Vaping.

Many electronic cigarette manufacturers have offered different types of "high-end mods" that allow for controlled heating of the e-liquid. However, the controlled heating condition can drastically alter the inhaled aerosols' physical properties and chemical substances, causing potential health risks. To investigate the contribution of heating on aerosol properties, we used four common power settings in the mods to conduct a physicochemical analysis. Our data showed that the aerosol mass and nicotine content in the aerosols increased at high power. Additionally, high power led to aerosolization of a viscous component in the e-liquid, increasing the viscosity of aerosol. However, the pH of the aerosol was constant regardless of the applied power. In addition, high-power operation made nicotine prone to oxidation, resulting in the color of the aerosol turning yellow. Lastly, we demonstrated that e-cigarette aerosol could contain various metals, including aluminum, arsenic, cadmium, chromium, copper, iron, magnesium, nickel, lead, and zinc. Even though these metal contents proportionally increased with the power setting, they remained far below the recommended exposure limits. Our finding demonstrates that the heating conditions of the e-cigarette change the physicochemical properties of the aerosols and their metal contents, thereby possibly affecting users' oral and respiratory systems.

Biglycan reduces body weight by regulating food intake in mice and improves glucose metabolism through AMPK/AKT dual pathways in skeletal muscle.

While biglycan (BGN) is suggested to direct diverse signaling cascades, the effects of soluble BGN as a ligand on metabolic traits have not been studied. Herein, we tested the effects of BGN on obesity in high-fat diet (HFD)-induced obese animals and glucose metabolism, with the underlying mechanism responsible for observed effects in vitro. Our results showed that BGN administration (1 mg/kg body weight, intraperitoneally) significantly prevented HFD-induced obesity, and this was mainly attributed to reduced food intake. Also, intracerebroventricular injection of BGN reduced food intake and body weight. The underlying mechanism includes modulation of neuropeptides gene expression involved in appetite in the hypothalamus in vitro and in vivo. In addition, BGN regulates glucose metabolism as shown by improved glucose tolerance in mice as well as AMPK/AKT dual pathway-driven enhanced glucose uptake and GLUT4 translocation in L6 myoblast cells. In conclusion, our results suggest BGN as a potential therapeutic target to treat risk factors for metabolic diseases.

The Chairside Periodontal Diagnostic Toolkit: Past, Present, and Future.

Periodontal diseases comprise a group of globally prevalent, chronic oral inflammatory conditions caused by microbial dysbiosis and the host immune response. These diseases specifically affect the tooth-supporting tissues (i.e., the periodontium) but are also known to contribute to systemic inflammation. If left untreated, periodontal diseases can ultimately progress to tooth loss, lead to compromised oral function, and negatively impact the overall quality of life. Therefore, it is important for the clinician to accurately diagnose these diseases both early and accurately chairside. Currently, the staging and grading of periodontal diseases are based on recording medical and dental histories, thorough oral examination, and multiple clinical and radiographic analyses of the periodontium. There have been numerous attempts to improve, automate, and digitize the collection of this information with varied success. Recent studies focused on the subgingival microbiome and the host immune response suggest there is an untapped potential for non-invasive oral sampling to assist clinicians in the chairside diagnosis and, potentially, prognosis. Here, we review the available toolkit available for diagnosing periodontal diseases, discuss commercially available options, and highlight the need for collaborative research initiatives and state-of-the-art technology development across disciplines to overcome the challenges of rapid periodontal disease diagnosis.

Alar Lifting Technique for the Correction of Tilted Alar Base.

BACKGROUND: Frequently, a tilted alar base characterized by a discrepant level of the nostril sill and alar insertion on both sides is encountered in patients seeking rhinoplasty. Herein, we report our surgical technique and outcome of alar lifting technique for correcting tilted alar base. METHODS: The medical records of 18 patients with alar base asymmetry who underwent rhinoplasty using the alar lift technique between January 2014 and December 2019 were retrospectively reviewed. The alar lifting procedure included a pointed ellipse-shaped excision of vestibular skin just inside the nostril sill, and sutures using 5-0 monocryl. Surgical outcomes were determined on the frontal view of facial images by comparing pre- and postoperative angles formed by a line drawn parallel to the lowermost part of both pupils and a line connecting the lowermost part of the base of the ala. RESULTS: Of 18 patients, 12 (66.7%) were men, and 6 (33.3%) were women. The mean age was 31.8 years (range 16-55). The alar lifting technique was performed on the left side in 12 cases and on the right side in 6 cases, and concurrent tip plasty was performed in 15 (83.3%) cases. The mean alar tilt angle was 3.9 preoperatively and 2.0 postoperatively. The mean angle change was 1.9°. Sixteen (88.9%) out of 18 patients had decreased alar level discrepancy. No patient had complications. CONCLUSIONS: Our alar lifting technique can serve as a useful adjunctive technique in rhinoplasty in patients with a tilted ala. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Using magnetic resonance imaging to measure the depth of acupotomy points in the lumbar spine: A retrospective study.

BACKGROUND: The acupotomy is an acupuncture device recently used to stimulate lumbar vertebrae such as transverse processes (TPs) and facet joints (FJs). However, there are many organs, nerves, and blood vessels, which can lead to side effects if the needle misses the treatment target. Therefore, information regarding appropriate insertion depths, which is currently lacking, could facilitate its safe use. We retrospectively investigated the depth from the skin to the TP and FJ of the lumbar vertebrae, using magnetic resonance imaging (MRI). METHODS: This retrospective chart review was conducted at a single medical centre in Korea. From 55,129 patient records, 158 subjects were selected. Perpendicular depth from the skin to the left and right TPs and FJs was measured using T1-weighted sagittal plane MRI. Depth differences between the left and right sides were evaluated using the paired t-test and analysis of covariance (body mass index [BMI] as a covariate). The influence of BMI on depth at each location was evaluated by simple linear regression analysis. RESULTS: The mean age was 43.2 years and mean BMI was 23.6 kg/m2. The depth from skin to the TPs or FJs was unaffected by age, sex, or side. Mean depths (cm) were as follows: (TPs) L1 = 4.5, L2 = 4.9, L3 = 5.3, L4 = 5.7, L5 = 5.9; (FJs) L12 = 3.8, L23 = 4.0, L34 = 4.4, L45 = 4.6, L5S1 = 4.6. Depth was highly correlated with BMI at each location. CONCLUSION: The depth of TPs and FJs adjusted for BMI can safely and effectively be used for treatment via various invasive interventions, including acupotomy treatment, in the lumbar region.