Tag: statistics

Microbiologyopen. 2026 Apr;15(2):e70298. doi: 10.1002/mbo3.70298.

ABSTRACT

The oral cavity may act as a reservoir for antibiotic resistance. This study aimed to directly isolate and identify phenotypically resistant bacteria from the oral biofilm of healthy individuals and patients with periodontitis, using tetracycline, and ciprofloxacin containing selective agar. Furthermore, resistance of selected bacteria towards ampicillin was also evaluated. Plaque samples were collected from 12 patients (six healthy, six with periodontitis). Bacteria were cultured on selective agar containg defined antibiotic concentration and non-selective media under aerobic and anaerobic conditions, identified by MALDI-TOF mass spectrometry and 16S rDNA sequencing. The selected bacteria were subsequently tested for susceptibility using disk diffusion, E-test, and β-lactamase assay. 495 strains representing 106 species were isolated, including 54 aerobes/facultative anaerobes and 52 obligate anaerobes. Antibiotic resistance was observed in all subjects: 15.2% of isolates were resistant to tetracycline, 32.9% to ciprofloxacin, and 0.6% to ampicillin, with no significant differences between healthy and periodontitis groups. Tetracycline resistance was most frequent in the Streptococcus mitis group and Eubacterium spp., while ciprofloxacin resistance was dominated by Actinomyces-Schaalia group. Concluding, prevalence of antibiotic-resistance was comparable between healthy and periodontitis patients. Resistance was most prevalent against ciprofloxacin and tetracycline, highlighting the oral cavity as a relevant reservoir for antibiotic resistance.

PMID:42026669 | DOI:10.1002/mbo3.70298

Mob DNA. 2026 Apr 23. doi: 10.1186/s13100-026-00400-4. Online ahead of print.

NO ABSTRACT

PMID:42026652 | DOI:10.1186/s13100-026-00400-4

Genome Biol. 2026 Apr 23. doi: 10.1186/s13059-026-04066-2. Online ahead of print.

ABSTRACT

High-throughput single-cell sequencing is widely used to study cell identity. We present SEAGALL (Single-cell Explainable Geometry-Aware Graph Attention Learning pipeLine), a deep learning method to quantify the impact of molecular features on cellular phenotype, based on geometry-regularised autoencoders (GRAE) and explainable graph attention networks (X-GAT). The GRAE embeds the data into a latent space to build a reliable cell-cell graph. The GAT is trained to learn the annotations and XAI is used to explain the predictions, unravelling the features driving cell identity. SEAGALL extracts specific and stable signatures from multiple omics experiments, going beyond differential marker genes.

PMID:42026624 | DOI:10.1186/s13059-026-04066-2

BMC Psychiatry. 2026 Apr 23. doi: 10.1186/s12888-026-07973-7. Online ahead of print.

NO ABSTRACT

PMID:42026587 | DOI:10.1186/s12888-026-07973-7

BMC Oral Health. 2026 Apr 23. doi: 10.1186/s12903-026-08440-1. Online ahead of print.

NO ABSTRACT

PMID:42026580 | DOI:10.1186/s12903-026-08440-1

BMC Health Serv Res. 2026 Apr 23. doi: 10.1186/s12913-026-14607-x. Online ahead of print.

ABSTRACT

BACKGROUND: Healthcare workers are exposed to sustained occupational stressors that may lead to heterogeneous patterns of psychological distress and resilience, with potential implications for job satisfaction. Person-centered approaches may help identify subgroups with distinct mental health profiles.

METHODS: We conducted a cross-sectional survey between December 2024 and March 2025 among healthcare workers employed in a single Italian Local Health Authority (ASL 1 Abruzzo). Participants completed measures of anxiety (GAD-7), depressive symptoms (PHQ-9), insomnia (ISI), resilience (RSA-11), perceived stress (PSS-10), and job satisfaction (JSS). K-means clustering on standardized mental health measures was used to identify profiles; the optimal number of clusters was selected using multiple internal validation indices (Gap statistic, average silhouette width, elbow method, and NbClust majority rule). Clusters were compared on sociodemographic variables and job satisfaction using non-parametric tests and chi-square tests.

RESULTS: Of 383 respondents, five were excluded (n = 2 for invalid response patterns, n = 3 for incomplete data), yielding N = 378. A two-cluster solution emerged. Cluster 1 (n = 145) showed higher psychological distress and perceived stress and lower resilience; Cluster 2 (n = 233) showed lower anxiety, depressive symptoms, insomnia and perceived stress, alongside higher resilience. Job satisfaction was significantly higher in Cluster 2 than Cluster 1 (Wilcoxon W = 21521, p < 0.001, r = 0.23). Cluster membership also differed by gender and work site.

CONCLUSIONS: Two distinct mental health profiles were identified within a single health authority, highlighting a subgroup characterized by high distress, low resilience and lower job satisfaction. Targeted psychosocial and organizational interventions may be warranted to support this vulnerable group and sustain workforce wellbeing.

PMID:42026564 | DOI:10.1186/s12913-026-14607-x

BMC Public Health. 2026 Apr 23. doi: 10.1186/s12889-026-27331-2. Online ahead of print.

NO ABSTRACT

PMID:42026562 | DOI:10.1186/s12889-026-27331-2

BMC Infect Dis. 2026 Apr 23. doi: 10.1186/s12879-026-13375-7. Online ahead of print.

NO ABSTRACT

PMID:42026521 | DOI:10.1186/s12879-026-13375-7

J Neurodev Disord. 2026 Apr 23. doi: 10.1186/s11689-026-09695-z. Online ahead of print.

NO ABSTRACT

PMID:42026485 | DOI:10.1186/s11689-026-09695-z

Radiography (Lond). 2026 Apr 22;32(4):103416. doi: 10.1016/j.radi.2026.103416. Online ahead of print.

ABSTRACT

INTRODUCTION: Missed fractures in the Emergency Department (ED) can lead to delayed treatment and patient harm. Radiographer preliminary clinical evaluation (PCE) aims to support referrers when interpreting radiographs in the absence of a definitive clinical report. This pre-implementation study evaluated radiographer participation and diagnostic accuracy in a department without an existing radiographer abnormality detection system.

METHODS: A prospective service evaluation study was conducted in a general hospital. Radiographers were asked to provide PCE for consecutive ED musculoskeletal trauma radiographs. Participation was recorded. PCEs were compared with the clinical report, and sensitivity, specificity and accuracy were calculated with 95% confidence intervals. Accuracy was evaluated against a fixed performance standard using a non-inferiority test. Differences in proportions between the first and second halves of the study period, in participation and accuracy, were assessed using z-tests.

RESULTS: Of 937 eligible examinations, 412 contained a PCE comment (44.0% participation), increasing significantly from 39.3% (182/463) in the first half of the study period to 48.5% (230/474) in the second half (p = 0.0045). After exclusions, 369 PCEs were analysed. Sensitivity, specificity and accuracy were 80.2%, 94.2% and 89.3%, respectively. The lower bound of the accuracy confidence interval (85.7%) exceeded the non-inferiority margin (82% accuracy), confirming PCE accuracy was statistically non-inferior to the 92% benchmark. Median time from examination attendance to PCE entry was 12 min.

CONCLUSION: Radiographers provided timely, accurate PCEs, achieving performance comparable with published standards, demonstrating the feasibility of implementing a PCE service.

IMPLICATIONS FOR PRACTICE: This study contributes to the evidence supporting PCE in departments without a 24-h hot-reporting service. Even without a dedicated training package, radiographers performed well, but this study emphasises that sensitivity remains a key area for further improvement.

PMID:42026441 | DOI:10.1016/j.radi.2026.103416