Categories
Nevin Manimala Statistics

Biocompatibility of universal dental adhesives: An in vitro study

J Prosthet Dent. 2024 Dec 6:S0022-3913(24)00777-7. doi: 10.1016/j.prosdent.2024.11.010. Online ahead of print.

ABSTRACT

STATEMENT OF PROBLEM: Adhesives play an essential role in restorative dentistry, and Universal Bond Quick (UBQ) has been marketed as having a short application time and long-term resistance to hydrolysis. However, research on its biocompatibility is lacking.

PURPOSE: The purpose of this in vitro study was to compare the biocompatibility of 3 recently introduced universal dental adhesives: UBQ, Single Bond Universal (SBU), and Prime&Bond Universal (PBU), and the popular clinical dental adhesive SE Bond.

MATERIAL AND METHODS: The CCK-8 assay, Calcein AM-PI, Real-time qPCR, DNA damage, and Cell cycle were used to evaluate the biocompatibility of each adhesive. Microleakage of the dental adhesives was also tested through immediate and chemical aging dye penetration in vitro experiments. An ANOVA, t test, Kruskal-Wallis, and Mann-Whitney tests were used for the statistical analyses (α=.05).

RESULTS: The biocompatibility results showed that the inhibitory effect of UBQ and SBU on the proliferation of L929 cells was lower than that of PBU and SE. The proportion of viable cells in the SBU group decreased when the concentration reached 25%, while the proportion of viable cells in the UBQ group remained unchanged at this concentration. Concentrations of PBU and SE of 6.25% caused DNA damage in L929 cells. After chemical aging, the gingival microleakage of specimens in the UBQ and PBU groups was more obvious than that of occlusal microleakage, and the difference was statistically significant (P<.05).

CONCLUSIONS: The biocompatibility of UBQ and SBU was similar and better than that of PBU and SE. However, after aging, the microleakage of the UBQ and PBU was slightly poorer in the thin enamel area near the gingival margin.

PMID:39645435 | DOI:10.1016/j.prosdent.2024.11.010

Categories
Nevin Manimala Statistics

Dual trajectories of polypharmacy and medication regimen complexity index in people living with HIV in Spain

Farm Hosp. 2024 Dec 6:S1130-6343(24)00158-2. doi: 10.1016/j.farma.2024.09.009. Online ahead of print.

ABSTRACT

BACKGROUND: Polypharmacy, using 6 or more medications, may increase the risk of high medication regimen complexity index (MRCI). We aimed to identify the interrelationship between trajectories of polypharmacy and MRCI.

METHODS: People living with HIV (PLWH) (aged ≥18) were included in from 2010 to 2021. Group-based trajectory modeling (GBTM) was used to identify polypharmacy trajectories and the complexity index of the medication regimen and the dual GBTM to identify their interrelationship.

RESULTS: In total, 789 participants who met the eligibility criteria were included in the study, with a median age of 47 years. GBTM analysis was used to reveal latent polypharmacy trajectories among PLWH. The findings disclosed four distinctive trajectories, with the majority (50.8%) of the PLWH falling into the ‘low increasing’ trajectory. Furthermore, GBTM identified 2 trajectories characterized by high MRCI, and a substantial proportion (80.2%) was assigned to the ‘slightly increasing low’ trajectory group. The study revealed that younger age (<50 years) was a significant predictor of membership in the ‘consistently low’ trajectory, while male gender was associated with the groups of ‘low increasing’ and ‘moderately decreasing’ polypharmacy trajectory.

CONCLUSIONS: GBTM failed to discern a discernible interrelationship between polypharmacy and the high MRCI. It is imperative to undertake future studies within this research domain, considering potential effect modifiers, notably the specific type of concomitant drug. This approach is crucial due to the outcomes induced by both polypharmacy and the magnitude of the pharmacotherapeutic complexity in PLWH.

PMID:39645427 | DOI:10.1016/j.farma.2024.09.009

Categories
Nevin Manimala Statistics

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients

Med Dosim. 2024 Dec 6:S0958-3947(24)00058-X. doi: 10.1016/j.meddos.2024.10.006. Online ahead of print.

ABSTRACT

This article aims to compare the dosimetric performance between knowledge-based plan (KBP) libraries with and without trade-off (TO) exploration using multicriterial optimization (MCO) for tongue cancer patients. The trade-off optimized library (KBP_MCO) contains a minimal number of constituent plans, whereas two nontrade-off optimized libraries contain a minimal and a large number of treatment plans, respectively. Three KBP libraries were created: KBP_100 and KBP_20, each comprising of 100 and 20 manually optimized plans, respectively. Additionally, another KBP library (KBP_MCO_20) was created by reoptimizing the constituent plans from KBP_20 using MCO techniques. A total of 70 tongue plans were validated through these libraries. Validation plans were evaluated for PTV and organ at risk (OAR) doses. Greenhouse-Geisser analysis (ANOVA) and the Bonferroni procedure (t-test) were used for statistical evaluation. The mean PTVD95% for KBP_100, KBP_20, and KBP_MCO_20 was 98.4% ± 0.3%, 98.9% ± 0.2%, and 98.7% ± 0.2%, respectively. The statistical significance of PTVD95% for the 3 possible combinations-KBP_100 vs KBP_20, KBP_100 vs KBP_MCO_20, and KBP_20 vs KBP_MCO_20 were statistically significant with p < 0.001. Spinal cord doses for KBP_100, KBP_20, and KBP_MCO_20 were 29.6 ± 1.8 Gy, 31.2 ± 2.5 Gy, and 26.8 ± 1.9 Gy, respectively, with p(KBP_100 vs KBP_20) = 0.14, p(KBP_100 vs KBP_MCO_20) = 0.001, and p(KBP_20 vs KBP_MCO_20) < 0.001. Only the first comparison showed a statistically insignificant variation. A trade-off optimized plan library with a minimal number of patients (20) yields better performance for serial structures (spinal cord and brainstem) compared to large manually optimized KBP libraries. For other organs at risk (OARs) and target dose coverage, although statistical differences were significant in most instances, the differences in physical dose were small and probably will not yield any significant clinical differences.

PMID:39645424 | DOI:10.1016/j.meddos.2024.10.006

Categories
Nevin Manimala Statistics

CAD/CAM surgical guides and pre-bent distractors: Enhancing precision in MDO for severe dentofacial deformities secondary to TMJ ankylosis

J Craniomaxillofac Surg. 2024 Dec 6:S1010-5182(24)00329-9. doi: 10.1016/j.jcms.2024.11.019. Online ahead of print.

ABSTRACT

BACKGROUND: This study aimed to compare the different outcomes of mandibular distraction osteogenesis (MDO) using computer-aided design and manufacturing (CAD/CAM) surgical guides accompanied by pre-bent distractors versus CAD/CAM surgical guides with commercial distractors.

METHODS: Twenty-eight patients with severe dentofacial deformities secondary to unilateral temporomandibular joint ankylosis (TMJA) were retrospectively enrolled. Ten parameters associated with MDO were measured preoperatively, virtually, and postoperatively. The hard-tissue digital model was reconstructed using Mimics Research 17.0, and imaging data were collected and analyzed using Freeform Plus software 12.0, Geomagic Studio 12.0, and IBM SPSS Version 20.0.

RESULTS: Twenty-eight patients underwent MDO with subsequent adjunctive surgery and were evaluated. Thirteen patients underwent CAD/CAM surgical guides with pre-bent distractors (group A), while fifteen underwent CAD/CAM guides with commercial distractors (group B). Both techniques achieved optimal occlusion and satisfactory appearance. Statistical analysis showed group A demonstrated a more accurate control of vector direction during MDO compared to group B (p < 0.05). Additionally, group A also exhibited a shorter subsequent treatment duration and less relapse compared to group B (p < 0.05).

CONCLUSIONS: CAD/CAM surgical guides with pre-bent distractors can significantly enhance surgical accuracy in controlling the vector direction of MDO for correcting dentofacial deformities secondary to TMJA, leading to a reduction in subsequent treatment duration and occurrence.

PMID:39645421 | DOI:10.1016/j.jcms.2024.11.019

Categories
Nevin Manimala Statistics

Physicians’ perception of guideline recommendations for the treatment of resistant hypertension by renal denervation: Resistant Hypertension Working Group, Argentine Hypertension Society

Hipertens Riesgo Vasc. 2024 Dec 6:S1889-1837(24)00111-9. doi: 10.1016/j.hipert.2024.10.003. Online ahead of print.

ABSTRACT

INTRODUCTION: This study investigates the perceptions and knowledge of specialized Argentine physicians regarding renal denervation (RDN) as a treatment for resistant hypertension (R-HT).

METHOD: A survey was conducted among 206 physicians, mainly cardiologists and internists, to assess their awareness and perceptions of RDN. Data were analyzed using descriptive statistics and Spearman’s Rho correlation.

RESULTS: The survey revealed that 83% of the responders are aware of RDN. Despite this high awareness, only 60% believe in its safety, while 33.2% are uncertain, and 6.8% consider it unsafe. Significant correlations were found between the awareness of RDN and perceptions of its efficacy and safety.

CONCLUSIONS: The study highlights a gap between knowledge and confidence in RDN among specialized Argentine physicians. Continuous education and shared decision-making are crucial to improve the adoption of RDN in clinical practice. Long-term safety and efficacy data support RDN as a valuable tool for managing R-HT. Addressing safety concerns through targeted educational initiatives is essential.

PMID:39645419 | DOI:10.1016/j.hipert.2024.10.003

Categories
Nevin Manimala Statistics

Statistical and computational methods for enabling the clinical and translational application of spatial transcriptomics

Clin Transl Med. 2024 Dec;14(12):e70119. doi: 10.1002/ctm2.70119.

NO ABSTRACT

PMID:39644148 | DOI:10.1002/ctm2.70119

Categories
Nevin Manimala Statistics

SeqDPI: A 1D-CNN approach for predicting binding affinity of kinase inhibitors

J Comput Chem. 2025 Jan 5;46(1):e27518. doi: 10.1002/jcc.27518.

ABSTRACT

Predicting drug target binding affinity has huge relevance in Modern drug discovery and drug repositioning processes which assist doctors to come up with new drugs or even use the existing drugs for new target proteins. In silico models, using advanced deep learning techniques could further assist these prediction tasks by providing most prominent drug target pairs. Considering these factors, a deep learning based algorithmic framework is developed in this study to support drug target interaction prediction. The proposed SeqDPI model extract the relevant drug and protein features from the one dimensional Sequential representation of the dataset considered using optimized CNN networks that deploy convolutions on varying length of amino acid subsequence’s to capture hidden pattern, the convolved drug- protein features obtained are then used as an input to L2 penalized feed forward neural network which matches the local residue patterns in protein classes with molecular fingerprints of drugs to predict the binding strength for all drug target pairs. The proposed model reduces the convolution strain typically encountered in existing in silico models that utilize complex 3D structures of drug protein datasets. The result shows that the SeqDPI model achieves a mean square error MSE of (0.167) across cross validation folds, outperforming baseline models such as KronRLS (0.406), Simboost (0.226), and DeepPS (0.214). Additionally, SeqDPI attains a high CI score of 0.9114 on the benchmark KIBA dataset, demonstrating its statistical significance and computational efficiency compared to existing methods. This gives the relevance and effectiveness of SeqDPI model in accurately predicting binding affinities while working with simpler one-dimensional data, making it a robust and computationally cost-effective solution for drug-target interaction prediction.

PMID:39644133 | DOI:10.1002/jcc.27518

Categories
Nevin Manimala Statistics

Assessment of Age-Related Microstructure Changes in Thigh Skeletal Muscle Based on Neurite Orientation Dispersion and Density Imaging

J Magn Reson Imaging. 2024 Dec 7. doi: 10.1002/jmri.29675. Online ahead of print.

ABSTRACT

BACKGROUND: Neurite orientation dispersion and density imaging (NODDI) could offer information about the morphological properties of tissue. Diffusion microstructure imaging has been widely used, but the applicability of NODDI in skeletal muscle imaging remains to be explored.

PURPOSE: To evaluate microstructure parameters variations in skeletal muscle as indicators of age-related changes.

STUDY TYPE: Prospective, cross-sectional.

POPULATION: A total of 108 asymptomatic volunteers, divided into three age groups: 20-39 years (N = 34), 40-59 years (N = 40), and over 60 years (N = 34).

FIELD STRENGTH/SEQUENCE: 3-T, three-dimensional (3D) gradient echo sequence.

ASSESSMENT: T1-weighted imaging, T2-weighted imaging with spectral adiabatic inversion recovery, and NODDI were used to image the thigh skeletal muscles. Four thigh skeletal muscle groups were analyzed, including bilateral thigh quadriceps femoris and hamstrings. The microstructure parameters included orientation dispersion index (ODI), intra-myofibrillar water volume fraction (V-intra), free-water fraction (V-csf), fractional anisotropy (FA), and mean diffusivity (MD). These parameters were quantified using NODDI images and compared among different age, body mass index (BMI), and skeletal muscle index (SMI) subgroups.

STATISTICAL TESTS: Segmentation measurement reliability was assessed using a two-way mixed intraclass correlation coefficient (ICC). Shapiro-Wilk tests were used to assess data distribution. Kruskal-Wallis and Mann-Whitney U tests were used to compare ODI, V-intra, V-csf, FA, and MD values among different age, BMI, and SMI subgroups. The Spearman correlation coefficient was utilized to assess the strength of the correlation between the age and microstructure parameters, as well as between age and SMI. Additionally, Bonferroni post hoc tests were conducted on microstructure parameters that exhibited significant differences across various age groups. A P-value <0.05 was considered statistically significant.

RESULTS: Significant differences in ODI, V-csf, FA, and MD values were observed among age, BMI, and SMI subgroups.

DATA CONCLUSION: NODDI may be used to reveal information about microstructure integrity and local physiological changes of thigh skeletal muscle fibers in relation to age.

LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 2.

PMID:39644126 | DOI:10.1002/jmri.29675

Categories
Nevin Manimala Statistics

Validation of Spanish Version of the Spirituality and Spiritual Care Rating Scale (SSCRS-Sp) in Nursing Professionals

Nurs Open. 2024 Dec;11(12):e70115. doi: 10.1002/nop2.70115.

ABSTRACT

AIM: To examine the reliability and construct validity of the Spanish adaptation of the Spirituality and Spiritual Care Rating Scale (SSCRS) within the nursing professionals’ context.

DESIGN: Observational and descriptive cross-sectional study.

METHODS: The sample consisted of N = 325 nursing professionals from various healthcare settings, including hospitals, clinics and community healthcare centres. Following translation and cultural adaption of the SSCRS, the scale underwent psychometric assessment of its construct validity through exploratory and confirmatory factor analysis. Internal consistency analysis was also performed using a McDonald’s omega. The reporting in this investigation adhered to the STROBE checklist.

RESULTS: The exploratory factor analysis (EFA) revealed a two-factor structure, with one factor closely aligning with one religiosity dimension and the other factor combining the spirituality, spiritual care and personalised care dimensions. The results of the confirmatory factor analysis did not provide an adequate fit to the data for both the two-factor solution found in the EFA and the four-factor solution proposed by McSherry, Draper, and Kendrick (2002). Even though the four-factor solution showed a slightly better fit than the two-factor solution, neither model achieved a satisfactory fit. The lack of formal education and confusion between religion and spirituality among healthcare professionals could have influenced the responses and interpretation of the results.

CONCLUSION: The findings showed that the SSCRS-Sp demonstrated good internal consistency, indicating that the items in the scale are reliably measuring the targeted constructs. Further refinement and validation of the scale are needed to establish a robust factor structure in the target population.

RELEVANCE TO CLINICAL PRACTICE: The SSCRS-Sp can be used to assess the nurses’ perceptions of spirituality and spiritual care. The availability of this tool represents a significant step towards greater integration of the spiritual dimension of care within a holistic nursing care framework in Spanish-speaking countries.

PATIENT OR PUBLIC CONTRIBUTION: Nursing professionals responded to the research scale.

PMID:39644124 | DOI:10.1002/nop2.70115

Categories
Nevin Manimala Statistics

Comparison of the efficiency of improved and traditional fish smoking kilns and their effects on smoked fish quality in Ghana

J Sci Food Agric. 2024 Dec 7. doi: 10.1002/jsfa.14060. Online ahead of print.

ABSTRACT

BACKGROUND: Fish smoking is a traditional fish preservation method that is affordable, and hence employed by most artisanal fish processors in Ghana. Traditional kilns are used but are less fuel efficient and the end-product has lower quality. This study therefore sought to test and compare the efficiency and quality of smoked fish for two improved kilns, the Cabin and Abuesi gas fish smoker (AGFS), against the traditional Chorkor smoker.

RESULTS: The results showed that the AGFS and Cabin had specific fuel consumption of 0.31 ± 0.02 and 0.67 ± 0.01 g kg-1 of smoked fish, respectively, which were significantly lower than that of the Chorkor (6 ± 0.12 g kg-1 smoked fish). Again, the AGFS and Cabin had significantly higher processing rates (251.18 ± 10.65 and 156.80 ± 8.30 g min-1, respectively) compared to the Chorkor (135.20 ± 5.60 g min-1). Smoking improved the nutritional, microbiological and sensory quality of mackerel, with only the sensory quality being statistically different between the products from the AGFS and Cabin. The Cabin-smoked products had more traditional smoked fish attributes while the gas-smoked products had a pronounced fried appearance and taste.

CONCLUSION: The AGFS and Cabin were more efficient than the Chorkor. There were no significant differences in the nutritional and microbial quality between the AGFS and the Cabin. Cabin-smoked products, however, had the more traditional qualities of smoked fish (appearance and flavor) that the gas-smoked products lacked. © 2024 Society of Chemical Industry.

PMID:39644123 | DOI:10.1002/jsfa.14060