Universidad de La Sabana

To map contemporary uses of artificial intelligence (AI) to identify conventional and unconventional risk factors for sports injuries in athletes. Following Joanna Briggs Institute guidance and PRISMA-ScR, we conducted an open-access search (January 2015-September 2025) in PubMed/MEDLINE, Scopus, and ScienceDirect using MeSH/DeCS terms for AI and injury risk. Records were managed in Rayyan with de-duplication, independent triple screening, standardized data extraction, and narrative synthesis to address heterogeneity. Fifty-nine studies met inclusion criteria. Frequently modelled predictors included sleep quality and psychological state, external and internal load metrics, and prior injury. AI approaches spanned classical machine learning and deep learning applied to multimodal sensor and clinical data. Across studies, generalizability was limited by heterogeneous populations, outcomes, and measurement/reporting practices; few works reported consistent measurement standards or external validation. Where assessed, observer agreement and classification performance were acceptable but variable. AI for sports-injury risk is expanding rapidly, led by classical machine learning on multimodal sensor data. Key gaps are external validity and reproducibility. Progress will require multicenter prospective cohorts, standardized measurement and reporting, sport-specific meta-analyses, transparent model sharing, and deliberate clinical integration into athlete care pathways.

Since 2012, various television fiction products, including series and telenovelas, have been produced and broadcast both in Colombia and globally—including the Netflix series Narcos—portraying the harsh and violent final two decades of the 20th century in Colombia. These productions have been defined as memory telenovelas because the themes, characters, and events they address are recent, and most of their audiences lived through, were impacted by, or were even victims of the situations depicted in those products. To understand the perspectives and concerns regarding these messages and their impact on the social memory of the recent past, ten (n = 10) interviews and three focus groups (n = 16) were conducted, made up of key stakeholders from the industry. Key recurring themes included a consensus on the thematic relevance of these productions and the inherent contradictions in the representation of history through serialized fiction. Emphasis was also placed on the accuracy or validity of the representation versus the need to construct narrative universes around contemporary history; the legal constraints and limitations (such as copyright of stories, legal risk prevention, access to and use of archival material, etc.); and the creative responsibility of producers in the ideation and creation of audiovisual content.

Objective: This study aimed to examine the validity and reliability of the Multidimensional Assessment of Interoceptive Awareness (MAIA) in a Colombian community sample. Methods: A cross-sectional study was conducted among 487 Colombian people. Participants completed an online survey that included the MAIA and International Fitness Scale (IFIS). Confirmatory factor analysis was conducted to verify the scale's internal structure, reliability analyses (Cronbach's alpha, McDonald's omega, Guttman's lambda 6, and Greatest Lower Bound) were performed at both the overall and factor levels, and test-retest reliability. Correlations with perceived physical condition indicators (as evidence of convergent validity) were also examined. Results: Confirmatory factor analysis supported the dimensional structure of the scale, with adequate goodness-of-fit indices (CFI = .991; GFI = .990; NFI = .988; RMSEA = .070). Intercorrelations among the MAIA dimensions provided evidence of construct reliability, with high values above .80 for six of the eight factors, acceptable values around .50 for factor 2, and low values only for factor 3. Test-retest reliability was high (rho = .717, p < .001). Direct correlations were found between perceived physical condition and some dimensions of the MAIA, as evidence of convergent validity. Conclusion: The MAIA demonstrated adequate evidence of internal structural validity, convergent and discriminant validity, and adequate reliability for measuring interoceptive awareness in a healthy Colombian population. The use of the MAIA to assess interoceptive awareness is recommended in future research as a tool for the prevention of mental and physical health conditions. Further studies are recommended to analyze its metric quality in other populations.

ABSTRACT.Dengue is a viral disease with a broad spectrum of clinical manifestations. Its severity is associated with risk factors such as periods of endemicity, although the extent of this contribution is unclear. In the present study, the characteristics of the clinical course and differences in the occurrence of severe and lethal outcomes were assessed by the degree of endemicity in patients with dengue treated in health institutions in Cali, Colombia, between 2019 and 2022. A longitudinal, observational-historical, single-cohort study was conducted. Analysis involved evaluating clinical complications during epidemic and endemic periods. Mortality, cumulative incidence of hospital or intensive care unit (ICU) admission, and survival time were estimated using the competing risks method. A total of 1,038 dengue cases were included. Patients with severe dengue and those with warning signs (WS) were consulted up to 6 or 5 days after symptom onset, respectively. A hospital stay of 2.0 days (Quartile [Q]1–Q3: 2–4 days) and an ICU stay of 4.5 days (SD ± 3.9 days) were estimated. A mortality rate of 5.5% was obtained for severe dengue, and a mortality rate of 0.4% was identified for patients with WS. In 2020 and 2021, the probability of hospitalization was 20% from initial contact. The likelihood of dying within 10 days after initial contact was 0% in 2019 and 11.2% (95% CI: 4.0–22.5%) in 2020. The incidence of hospitalization, number of hospital days, and ICU stays due to dengue varied by epidemiological year in a high-endemicity area. The probability of severe and lethal clinical outcomes was higher during 2020 and 2021.

Research on digital behaviour has largely centred on aggregated screen-time metrics, which offer limited insight into how distinct patterns of engagement within social media environments relate to psychosocial competencies. Life skills—encompassing cognitive, social and emotional domains—are fundamental to adaptive functioning in young adults, yet the behavioural features of online interaction that align with these capacities remain insufficiently characterised. A cross-sectional study was carried out with 1,140 university students aged 18–25. Participants completed a questionnaire assessing instrumental, passive and reactive social media behaviours, alongside a validated measure of life skills. Analytical procedures included descriptive statistics, Spearman correlations, exploratory factor analysis and structural equation modelling. Reliability coefficients were estimated from the present sample, and model fit indices were examined to assess structural coherence. Instrumental engagement displayed small positive associations with cognitive and social life skills. Passive browsing and reactive interaction showed small negative associations with emotional and social skills. Although modest in magnitude, these associations displayed a stable configuration across the analytical models, suggesting that behavioural differentiation within social media use aligns with distinct life-skill profiles. The study contributes to a more nuanced understanding of digital engagement by shifting the analytical focus from global usage frequency to behaviour-specific patterns. Instrumental, goal-directed use aligned with more adaptive skill configurations, whereas passive and reactive tendencies were associated with less favourable profiles. The cross-sectional design and the demographic composition of the sample constrain generalisability, underscoring the need for longitudinal and diverse population studies. The findings reinforce the relevance of intentional and reflective digital practices within university settings, where online interaction is embedded in daily life.

<i>Background:</i> Secondary rhinoplasty is recognized as one of the most technically demanding procedures within the domain of facial plastic surgery. This complexity arises primarily from the presence of distorted anatomical structures, scar contracture, and compromised structural support resulting from prior surgical interventions. Such alterations frequently result in diminished nasal tip projection, malrotation, columellar retraction, deviation, and dysfunction of the internal nasal valve. Conventional revision techniques often require open surgical approaches and structural grafting, including the utilization of costal cartilage, thereby increasing both the complexity and morbidity associated with the procedure. <i>Purpose:</i> This study aims to assess the clinical efficacy and reproducibility of septocolumellar anchorage as a cartilage-preserving technique for the restoration of nasal tip support and biomechanics in secondary rhinoplasty, primarily conducted through a closed endonasal approach. <i>Methods:</i> A retrospective descriptive study was conducted involving 26 consecutive patients who underwent revision rhinoplasty between April 2022 and October 2024, subsequent to primary surgery performed by a different surgeon. The indications for revision included diminished tip projection or rotation, columellar retraction, tip deviation, and functional airway compromise. Surgical intervention was performed under general anesthesia, primarily employing intercartilaginous and hemitransfixion incisions. Following the release of scar tissue and mobilization of the lower lateral cartilages, septocolumellar sutures were anchored to the anterosuperior angle of the caudal septum to ensure stable tip support. Selective use of adjunctive septal cartilage grafts was implemented, while no costal cartilage grafts were harvested. The minimum follow-up period was 12 months. <i>Results:</i> The patient cohort ranged in age from 20 to 64 years, with a mean age of 42.7 ± 12.1 years, and an average of 1.34 prior rhinoplasty procedures. A closed surgical approach was utilized in 73% of the cases. Restoration of nasal tip projection, rotation, and alignment was successfully achieved in all patients, accompanied by a consistent enhancement in nasal airflow in instances where preoperative obstruction was present. No major complications, structural failures, or requirements for tertiary revision were reported. <i>Conclusions:</i> Septocolumellar anchorage represents a dependable and reproducible cartilage-sparing technique in secondary rhinoplasty. It offers predictable biomechanical control over nasal tip dynamics while minimizing tissue dissection and obviating the necessity for costal cartilage grafting in appropriately selected patients.

Clinical decision-making under extreme time pressure represents one of the most demanding cognitive challenges in emergency medicine. This review analyzes how temporal compression, cognitive load, workflow interruptions, and stress exposure interact to influence diagnostic accuracy and patient safety. Drawing on foundational literature in diagnostic reasoning, cognitive psychology, and patient safety research, the study synthesizes evidence demonstrating that increasing interruption frequency and cognitive burden are associated with measurable rises in task error and progressive declines in diagnostic reliability. Temporal constraints appear to accelerate reliance on intuitive processing, increasing susceptibility to premature closure, particularly in ambiguous or evolving clinical presentations. Additionally, elevated stress levels are associated not only with reduced mean diagnostic accuracy but also with greater variability in performance. The findings suggest that diagnostic vulnerability in emergency settings is not random but emerges predictably from the interaction between cognitive architecture and system design. Structured mitigation strategies—including micro-reflective checkpoints, diagnostic prompts, workflow protection from unnecessary interruptions, and simulation-based reasoning training—are associated with reductions in error patterns without compromising response time. The implications are particularly relevant for emergency departments operating under structural constraints, including middle-income health systems in Latin America. Strengthening diagnostic safety requires an integrated approach that aligns clinical expertise, environmental design, and institutional safety culture.