Background and objective: Amblyopia is the leading cause of visual impairment in children and adults and is very common during childhood. The aim of this study was to identify the prevalence and the risk factors of amblyopia in a pediatric population with refractive errors from an Eastern European country. Materials and methods: A total of 1231 children aged 5–16 years, who had refractive errors and were examined from January to August 2017, were enrolled in a cross-sectional population-based study. Every child underwent a complete ophthalmological exam. Amblyopia was defined as a visual acuity (VA) of less than 0.63. The study respected the Multi-Ethnic Pediatric Eye Disease Study (MEPEDS) criteria for defining amblyopia (MEPEDS, 2008). Parents participated in a face-to-face interview. The questionnaire contained details about their family history of amblyopia; the child’s maternal nutritional status in the preconception period; their history of maternal smoking or work in a toxic environment; the child’s birth, and the child’s history of congenital naso-lacrimal duct obstruction (CNLDO). Results: Amblyopia was identified in 2.8% of the participants. The ocular conditions hyperopia (p = 0.0079), astigmatism (p = 0.046), anisometropia (p < 0.001), esotropia (p < 0.001), exotropia (p = 0.0195), and CNLDO (p < 0.001), as well as a family history of amblyopia (p < 0.001), were associated with amblyopia. The non-ocular risk factors for amblyopia that were found in the study included low birth weight (p < 0.0009), prematurity (p < 0.001), an Apgar score under 7 (p = 0.0008), maternal age, maternal smoking history or work in toxic environment (p < 0.001), and maternal body mass index in the preconception period (p < 0.003). Conclusions: Some of the risk factors we identified for amblyopia are modifiable factors. This is an important observation as an adequate health education program can provide the relevant information for future mothers that will allow for a better management of the condition. We also wanted to highlight the need for amblyopia screening starting from the age of 3 years in case of significant parental refractive errors, strabismus, prematurity, and maternal risk factors.

Objectives. Oral mucositis (OM) is a common adverse reaction associated with chemotherapy. We conducted a six-month longitudinal study to estimate the cumulative incidence of OM during the first six months of chemotherapy in adult patients with cancer other than head and neck cancer. Secondary objectives were as follows: (a) to scrutinize the oral health status of these patients and its evolution during chemotherapy, as assessed by oral health indices; (b) to estimate adherence to prescribed oral hygiene protocol during chemotherapy; and (c) to analyze ulceration-free survival in these patients. Methods. Sixty-four patients participated. Dental health and oral hygiene were assessed at baseline and at the end. Every month, blood tests were performed and oral lesions were recorded. This study was observational, with the only intervention being instruction in the hygiene protocol. The cumulative incidence of OM was estimated with the patient as the unit of analysis. A repeated measures ANOVA was applied to analyze the monthly blood test results. Ulceration-free survival analysis was conducted with adherence to the oral hygiene protocol as a grouping factor, followed by Cox proportional-hazards regression. Results. The six-month cumulative incidence rate was 43.75%, 95%CI (31.58–56.67%) for OM grade 2 or higher. The hazard ratio of ulceration associated with adherence to the hygiene protocol was 0.154, 95%CI (0.049–0.483), adjusted for age, sex, baseline hygiene index, and class of treatment. Conclusions. Compliance with hygiene recommendations would decrease the OM risk by more than six times, compared to non-compliance.

Objectives: Streptococcus pneumoniae is the leading bacterial etiologic agent in acute otitis media (AOM), and it produces a more severe inflammatory response than other otopathogens. Additionally, the presence of multidrug-resistant (MDR) S. pneumoniae is an important issue in the management of AOM. The present pilot study aimed to ascertain whether MDR S. pneumoniae is associated with a higher inflammatory response and/or a more severe disease. Methods: This was a prospective, single-center study on nonpneumococcal conjugate vaccine-immunized pediatric patients with severe AOM. Demographic and clinical characteristics were recorded. Middle ear fluid was obtained and cultured for each patient; antibiotic-resistance profiling was tested for S. pneumoniae isolates. The C-reactive protein (CRP) level and complete blood count were determined. Patients with positive middle ear fluid culture for S. pneumoniae were divided into 2 groups according to antibiotic resistance profile: MDR and non-MDR. Results: MDR S. pneumoniae was identified in 15 (35.7%) of the 42 eligible patients. Children in this group had significantly higher CRP levels (72.23 ± 62.92 vs. 14.96 ± 15.57 mg/L, p < 0.001), higher absolute neutrophil count (8.46 ± 3.97 vs. 5.22 ± 4.5 × 10³/mm³, p = 0.004), higher percentage of neutrophils (52.85 ± 13.49% vs. 38.34 ± 16.16%, p = 0.004), and were more prone to develop acute mastoiditis (p = 0.01). Receiver operating characteristic analysis identified CRP as the best biomarker to discriminate between the 2 groups of patients (AUC = 0.891). Conclusion: MDR S. pneumoniae was associated with a more severe inflammatory response and a higher incidence of mastoiditis.

Obesity is a disorder with an increasing prevalence, associated with cardiovascular and metabolic pathologies. The amount and the distribution pattern of adipose tissue must be considered when managing this disease. Abdominal obesity carries a higher risk of developing obesity-related comorbidities. Body composition methods allow an objective diagnosis and follow-up in obese patients. Although bioelectrical impedance (BIA) is a practical, affordable, and widespread technique to assess body fat percentage (%BF), its accuracy has often been questioned. Therefore, the present study aimed to determine BIA’s accuracy in subjects with abdominal obesity compared to air-displacement plethysmography (AP) as the reference method. Measurements with both body composition techniques were performed on 80 subjects (41 men and 39 women) with a large range of body mass indexes (BMIs). Abdominal obesity, diagnosed as a waist-to-height ratio (WHtR) above 0.5, was present in 28 of them. Agreement between methods was analyzed using t-tests, correlation, and Bland–Altman plots. Compared to AP, BIA underestimated %BF by 3.07 ± 5.81% (CCC = 0.82) in the entire study group. The agreement was comparable in subjects with and without central obesity (2.97 ± 6.21% and 3.26 ± 5.1%, respectively). The changes in body shape geometry due to different adipose tissue distribution patterns only marginally affected BIA’s determinations.

Background: The triage process in emergency departments (EDs) is complex, and AI-based solutions have begun to target it. At this pivotal stage, the challenge lies less in designing smarter algorithms than in fostering trust and alignment among medical and technical stakeholders. We explored professional attitudes towards AI in ED triage, focusing on alignments and misalignments across backgrounds. Methods: An anonymous online cross-sectional survey was distributed through professional networks of healthcare providers and IT professionals, between May 2024 and February 2025. The questionnaire covered four areas: (a) the General Attitudes towards Artificial Intelligence Scale (GAAIS); (b) professional background and career level; (c) challenges and priorities for AI applications in triage; and (d) the AI Attitude Scale (AIAS-4). Constructs from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) were also applied. Cluster analysis ( KMeans ) was conducted based on GAAIS-positive, GAAIS-negative, and AIAS-4 scores. Results: From a total of 151 professionals, Kmeans identified three clusters: K0 (cautious/critical, n = 39), K1 (enthusiastic/optimistic, n = 35), and K2 (balanced/pragmatic, n = 77). Approximately two-thirds of K2 (47/77; 61%) were healthcare providers. Six out of 20 (30%) medical professionals in K0 reported that AI could play no role in ED triage, but only 1/15 (7%) and 1/47 (2%) of healthcare providers gave this response in K1 and K2, respectively. Lack of knowledge of AI tools was also most frequent in K0 (14/39; 36%). Recognition of necessity of constraints showed marked contrasts in their mea n ± SD scores: (a) for data availability/quality, 2.95 ± 1.98 (K0), 4.27 ± 1.1 (K1), and 4.20 ± 0.94 (K2); (b) for the integration of AI-based applications into existing workflows, 2.95 ± 1.05, 4.20 ± 0.94, and 3.47 ± 1.02 in K0, K1, and K2, respectively. Among the UTAUT2 constructs, hedonic motivation differed most significantly, with mean ± SD values of 3.41 ± 1.0 (K0), 6.86 ± 0.97 (K1), and 5.07 ± 1.08 (K2). Conclusions: Stakeholders' perspectives on AI in ED triage are heterogeneous and not solely determined by professional background or role. Hedonic motivation emerged as a key driver of enthusiasm. Educational strategies should follow two directions: (a) structured AI programs for enthusiastic developers from diverse fields, and (b) AI literacy for all healthcare professionals to support competent use as consumers.

Background: Bitot’s spots, defined as white foamy triangular or round-shaped spots with the base located at the temporal limbus and the apex towards the lateral canthus, were initially associated with vitamin A deficiency (VAD). More recently, Bitot’s spots were also described in patients with normal vitamin A levels, associated with aniridia, dry-eye syndrome and post-thermal or chemical injury, as well as the usage of benzalkonium chloride (BAK) eyedrops. The aim of this article is to present the management of Bitot-like spots in a patient with congenital aniridia. Methods: An 8-year-old female patient with type 1 congenital aniridia, glaucoma, cataract, strabismus, congenital nistagmus and aniridia-associated keratopathy presented with changes in conjunctival appearance. The ophthalmological examination revealed Bitot-like spots with a foamy appearance, triangular shape, temporal location and proximity to the limbus. Further investigations were required in order to identify the cause of Bitot-like spots. Vitamin D deficiency, dry-eye syndrome, birch and Phleum genus pollen allergy were diagnosed. The patient underwent oral medication with vitamin D and topical treatment with steroids eye solution, preservative-free artificial tears and vitamin A ointment. Results: After three months of treatment, we observed the disappearance of the Bitot-like spots. Conclusions: Congenital aniridia, but also its complications such as glaucoma, dry-eye syndrome and the use of benzalkonium chloride topical medication, increases the risk of Bitot-like spots.