Nursing, Journal Year: 2023, Volume and Issue: 53(12), P. 8 - 10
Published: Nov. 17, 2023
In Brief Lorazepam associated with worse progression-free survival... Examining long-term medication effects... The co-treatment approach improves efficacy... Article details FDA's questionable approval... Updates to toxicity diagnosis and management... Identifying children acute sinusitis who are likely benefit from antibiotics... Psilocybin as a novel Intervention for depression
Language: Английский
Journal of Pharmaceutical Analysis, Journal Year: 2024, Volume and Issue: 15(1), P. 101046 - 101046
Published: July 18, 2024
Natural antimicrobial peptides (AMPs) are promising candidates for the development of a new generation antimicrobials to combat antibiotic-resistant pathogens. They have found extensive applications in fields medicine, food, and agriculture. However, efficiently screening AMPs from natural sources poses several challenges, including low efficiency high antibiotic resistance. This review focuses on action mechanisms AMPs, both through membrane non-membrane routes. We thoroughly examine various highly efficient AMP methods, whole-bacterial adsorption binding, cell chromatography (CMC), phospholipid membrane-mediated capillary electrophoresis (CE), colorimetric assays, thin layer (TLC), fluorescence-based screening, genetic sequencing-based analysis, computational mining databases, virtual methods. Additionally, we discuss potential developmental enhancing discovery. provides comprehensive framework identifying within complex product systems.
Language: Английский
Citations
49
Paediatric Respiratory Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
1
JAMA, Journal Year: 2023, Volume and Issue: 330(11), P. 1064 - 1064
Published: Sept. 18, 2023
Importance Acute sinusitis is one of the most common indications for antibiotic prescribing in children, with an estimated 4.9 million such prescriptions US annually. Consensus does not exist regarding optimal empirical antibiotic. Objective To compare amoxicillin-clavulanate vs amoxicillin treatment acute outpatient children. Design, Setting, and Participants Cohort study children adolescents aged 17 years or younger a new diagnosis same-day prescription dispensation nationwide health care utilization database. Propensity score matching was used to mitigate confounding. Exposure A amoxicillin. Main Outcomes Measures Treatment failure, defined as aggregate dispensation, emergency department inpatient encounter sinusitis, complication, assessed 1 14 days after cohort enrollment. Adverse events were evaluated, including gastrointestinal symptoms, hypersensitivity skin reactions, kidney injury, secondary infections. Results The included 320 141 patients. After propensity matching, there 198 942 patients (99 471 per group), 100 340 (50.4%) who female, 101 726 (51.1%) 12 years, 52 149 (26.2%) 6 11 45 067 (22.7%) 0 5 years. failure occurred 3.1% overall; 0.05% had serious (an encounter). relative risk group compared 1.10 (95% CI, 1.05-1.16). symptoms (RR, 1.15 [95% 1.05-1.25]) yeast infections 1.33 1.16-1.54]) higher amoxicillin-clavulanate. stratified by age, RR 1.21 1.09-1.33) ages years; 1.16 1.05-1.29) 0.95 0.88-1.02) age-stratified adverse 1.23 1.10-1.37) 1.19 1.04-1.35) 1.04 0.95-1.14) Conclusions Relevance In treated outpatients, associated slightly lack effectiveness intolerability, These findings may help inform decisions selection sinusitis.
Language: Английский
Citations
12
Science Progress, Journal Year: 2025, Volume and Issue: 108(1)
Published: Jan. 1, 2025
Objectives Increasing evidence indicates that the local microbiome can be used to predict host disease states. However, constructing models obtain better results with fewer features is still challenging. Methods In this study, we established a nasal database consisting of 132 chronic rhinosinusitis patients, 27 inverted papilloma and 45 control patients. 16S rRNA gene sequencing was identify species abundance bacteria in each sample, generated after low-abundance were eliminated. The correlation data network different groups constructed by calculating coefficient among bacterial genera, parameters calculated based on graph theory. Through development application machine learning framework optimize screening process, combined relationship theory, basic high contributions classification prediction selected for diseases. Results We found patients have specific signature identified Moraxella, Prevotella, Rothia as keystone genera are markers disease; these interpreted key routes through theory analysis microbiota. With strategy, able characterize microbial community changes which could reveal potential role disease. Conclusion This study provide reference formulation prevention policies. Our applied other diseases influence states
Language: Английский
Citations
0
Pediatrics & Neonatology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0
Technology and Health Care, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 2, 2025
Problem statement While CT (Computed Tomography) is commonly used, its diagnostic accuracy for chronic sinusitis remains uncertain. Moreover, the high cost of examinations limits use as a routine method. There an urgent need to develop AI-assisted model sinusitis. Objective The primary aim this study that can improve and accessibility compared traditional methods. Methodology This utilized retrospective approach, focusing on patients diagnosed with via normal admitted People's Hospital between January 2018 2019. A total 5000 sinus images were collected. All cases underwent T (targeted) coronal plain scans in hospital's room, ensuring complete images. In constructing classification based deep learning, soft tissue windows sinuses gathered. included 1000 each four groups sphenoid sinusitis, frontal ethmoid maxillary along from (250 per group). sigmoid function replaced softmax function, binary cross-entropy was used assess model's predictive accuracy. Results achieved 85.8%, outperforming doctors low (71.7%), medium (78.4%), senior (73.4%) qualifications. demonstrated accuracy, superior feature extraction, resolution capabilities.
Language: Английский
Citations
0
Genome Medicine, Journal Year: 2025, Volume and Issue: 17(1)
Published: March 17, 2025
Abstract Background Acute sinusitis (AS) is a frequent cause of antibiotic prescriptions in children. Distinguishing bacterial AS from common viral upper respiratory infections (URIs) crucial to prevent unnecessary use but challenging with current diagnostic methods. Despite its speed and cost, untargeted RNA sequencing clinical samples children suspected has the potential overcome several limitations other In addition, RNA-seq may reveal novel host-response biomarkers for development future assays that distinguish infections. There are however no available datasets pediatric provide comprehensive view both pathogen etiology host immune response. Methods Here, we performed (metatranscriptomics) nasopharyngeal 221 analysis impact on responses. Accuracy RNA-seq-based detection was evaluated by comparison culture tests three pathogens qRT-PCR 12 viruses. Host gene expression patterns were explored identify responses Results showed high concordance or qRT-PCR, showing 87%/81% sensitivity (sens) / specificity (spec) detecting AS-associated pathogens, 86%/92% (sens/spec) URI-associated viruses, respectively. also detected an additional 22 not tested clinically identified plausible 11/19 (58%) cases where organism qRT-PCR. We reconstructed genomes 196 viruses across including strains coronaviruses, syncytial virus, enterovirus D68, which useful genomic data ongoing surveillance programs. By analyzing expression, signatures differentiate infections, revealing hundreds candidate assays. Conclusions Our study provides one-of-kind dataset profiles interplay between infection URI. It reveals viral-specific could enable new approaches demonstrates
Language: Английский
Citations
0
The Italian Journal of Pediatrics/Italian journal of pediatrics, Journal Year: 2025, Volume and Issue: 51(1)
Published: March 26, 2025
Language: Английский
Citations
0
Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)
Published: Feb. 20, 2024
Abstract Clinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts complex clinical real-world experimental comparison tasks such as risk stratification, diagnosis, classification, survival prediction. However, its translational application is still limited. One challenge that the proposed requirements are not synchronized. Additionally, exotic predictions difficult to apply directly in local medical institutions. Hence, it necessary incisively review mining, providing an analytical workflow developing validating prediction ensure scientific validity analytic workflows response questions. This systematically revisits purpose, process, principles discusses key causes contributing detachment from practice misuse model verification research. Based on this, we propose a niche-targeting framework four principles: Contextual, Subgroup-Oriented, Confounder- False Positive-Controlled (CSCF), provide guidance prior model's development settings. Eventually, hoped this can help guide future research develop personalized achieve goal discovering subgroups with varied remedial benefits or risks ensuring precision medicine deliver full potential.
Language: Английский
Citations
3
PEDIATRICS, Journal Year: 2024, Volume and Issue: 153(5)
Published: April 22, 2024
CONTEXT Acute sinusitis is one of the leading causes antibiotic prescriptions in children. No recent systematic reviews have examined efficacy antibiotics compared with placebo. OBJECTIVE We sought to determine if are superior placebo treatment acute DATA SOURCES Medline and Embase were searched from their origin July 2023. STUDY SELECTION considered randomized placebo-controlled studies focusing on sinusitis. In all studies, symptoms present for <4 weeks subjects <18 years age. EXTRACTION Two authors independently extracted data. pooled data primarily using fixed-effects models. RESULTS Analysis 6 included showed that reduced rate failure by 41% (with a risk ratio 0.59; 95% confidence interval 0.49–0.72) There was substantial heterogeneity between (I2 = 69.7%), which decreased substantially when 1 study high bias removed 26.9%). Children treated 1.6 times more likely diarrhea than those who not (risk 1.62, 1.04–2.51). LIMITATIONS A small number eligible inclusion. Included differed methodology. CONCLUSIONS children clinically diagnosed sinusitis, significantly However, given favorable natural history our results could also support close observation without immediate treatment.
Language: Английский
Citations
3