Congenital divided nevus of the eyelids is a rare form of melanocytic nevus which involves contiguous portions of the upper and lower eyelid margins unilaterally, hence the term ‘kissing nevus’. While usually present at birth, these nevi may also appear later in life. When the mass enlarges, it may cause cosmetic issues to the patient, as well as functional problems such as mechanical ptosis, ectropion, and epiphora.

We report three cases of congenital divided nevus of the eyelids, all presenting with unilateral upper and lower hyperpigmented lid masses since birth. The first case had an upper lid mass measuring 11 mm x 19 mm, and a lower lid mass measuring 55 mm x 47 mm, with both masses extending into the palpebral conjunctiva, and causing severe ptosis and corneal neovascularization due to chronic irritation. The second case presented with hyperpigmented masses at the lateral third of the right upper eyelid measuring 8 mm x 17 mm and of the lower eyelid measuring 9 mm x 15 mm on the lower lid with lashes growing through the masses. There was extension of the mass into the palpebral conjunctiva. The third case presented with a 23 x 18 mm hyperpigmented, well-circumscribed, verrucated mass at the medial half of the upper eyelid crossing the eyelid margin, and a 15 x 13 mm lesion at the medial third of the lower lid with the same characteristics, with small crusty lesions and clotted blood. All three patients underwent excision biopsy with lid reconstruction using full thickness skin grafts from the supraclavicular area. Six months postoperatively, the first case underwent a repeat full thickness skin graft due to graft contraction, and also received two sessions of fractional carbon dioxide (CO2 ) laser, two sessions of intralesional triamcinolone injections, and silicone gel application with further improvement of graft healing and scarring. The second case also underwent two sessions of intralesional steroid injection for scar management. During follow-up, which spanned 13 months for the first case, 10 months for the second case, and two months for the third case, improved functional and cosmetic outcomes were observed.

This case series highlights the outcomes of the most common surgical technique done for congenital divided nevi of the eyelids. Congenital divided nevi are usually diagnosed clinically and malignant degeneration is rare, hence lid reconstruction may be done without frozen section. The cases in the series were treated due to cosmetic and functional purposes, hence the importance of continuous post-operative follow-up to monitor for graft dehiscence, scar development, recurrence of the mass, malignant degeneration, and development of lid malposition. Additional procedures for scar management, such as CO2 laser and intralesional steroid injections, may be necessary to further enhance outcomes in complex cases. All three cases in this series exhibited improved functional and cosmetic outcomes post-operatively, with significant reduction in ptosis and scarring. Longterm follow-up revealed satisfactory recovery with minimal complications, with no recurrence nor malignant degeneration.

Human ; Male ; Female ; Adult: 25-44 Yrs Old ; Young Adult: 19-24 Yrs Old ; Nevus ; Nevus, Pigmented

BACKGROUND

The COVID-19 pandemic disrupted education worldwide, prompting a rapid shift to emergency remote teaching that challenged students’ learning and mental health. Nursing students, in particular, faced heightened pressures due to the suspension or online adaptation of essential clinical experiences, alongside the need to master theoretical and practical competencies. Emerging evidence indicates that such stressors adversely affect students’ emotional and psychological well-being, potentially influencing academic outcomes. Understanding the relationship between mental health and academic performance among nursing students is crucial for developing targeted interventions that support their well-being and professional readiness.

OBJECTIVE

This study analyzed the mental health status and academic performance of graduating nursing students during the challenging period of remote learning amid the pandemic in a government school in Leyte.

METHODS

The study utilized a descriptive correlational design to explore the relationships between mental health status and academic performance among nursing students. A modified self-administered questionnaire was utilized to gather data. Ethical approval from Eastern Visayas Health Research and Development ConsortiumEthics Review with ERC number 2023-024 was secured, and data collection occurred through various methods. Data analysis used SPSS version 24, emphasizing the importance of understanding these relationships in educational settings.

RESULTS

The study assessed the demographic profile, online learning attributes, mental health status, and academic performance of 20 nursing students during the pandemic. All students passed their courses, despite reporting moderate emotional loneliness and irritability, but minimal fear of COVID-19. Significant correlations were found between demographic factors and mental health indicators. The null hypothesis, suggesting no relationship between demographic factors and mental health, is void, as significant associations were identified. Recommendations include enhancing mental health support in nursing education to address these challenges.

CONCLUSION

This study highlights the experiences of 20 nursing students from a government college in Leyte during the COVID-19 pandemic. Predominantly young women from rural, low-income backgrounds, these students faced challenges like poor internet access but successfully completed their academic requirements, showcasing resilience. While they reported low fear of COVID-19, moderate emotional loneliness and irritability indicated underlying mental health issues. The findings stress the need for educational institutions to provide mental health support and address the digital divide to enhance student well-being and success.

Human ; Male ; Female ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Statistics As Topic ; Psychological Well-being ; Indicators And Reagents ; Students, Nursing ; Suspensions ; Academic Performance ; Learning ; Pandemics ; Nursing ; Education, Nursing ; Covid-19 ; Mental Health

INRODUCTION

Stroke is one of the top five leading causes of disability in the Philippines. It has a significant impact on the quality of life (QoL) of patients, particularly in the functional and psycho-emotional aspects. Thus, it is important to understand the health-related quality of life in stroke patients (HRQoLISP), which focuses on the clinical impact of the disease and disability. The assessment of a stroke patient’s QoL is prognostically significant as it can predict a patient’s treatment success and survival.

OBJECTIVE

This study aims to translate the HRQoLISP-26 into Filipino and assess its content validity for Filipino adult stroke patients.

METHODOLOGY

The HRQoLISP-26 was translated into Filipino using a forward translation protocol and an expert analyzed the forward translation. Selected expert committee members reviewed the first version to assess for content validity and the questionnaire was modified accordingly. The content validity index (CVI) was used for content validity.

RESULTS

Majority of the revisions made were done to improve the semantic and grammatical accuracy of items in the Filipino version of the HRQoLISP-26. Only a few items had no revisions implemented. No revisions were done in the final version of the translated questionnaire as each item had a CVI of 1 indicating that it has good content validity.

CONCLUSION

The Filipino translated HRQoLISP-26 questionnaire is a validated questionnaire that allows assessment of a stroke survivor’s QoL.

Quality Of Life ; Patients ; Life ; Health ; Adult ; Stroke

BACKGROUND

The global impact of the COVID-19 pandemic has instigated a profound public health crisis, particularly affecting professionals like dentists who, due to their close interaction with saliva—a potential viral reservoir—and the aerosols generated during specific procedures, face elevated risks of infection. To mitigate this, the Centers for Disease Control and Prevention (CDC) and the Philippine Dental Association (PDA) have established guidelines for averting cross-infection in dental settings

OBJECTIVE

This study, conducted in an urbanized Metro Manila City, delves into the infection control practices of dentists amid the pandemic.

METHODS

Dentists from a Metro Manila city dental chapter were invited to participate in an online survey (Google Forms) consisting of participants' demographics, patient triage, engineering, administrative controls, disinfection personal hygiene, personal protective equipment (PPE), and waste management practices. Descriptive statistics, employing frequency distributions and percentages, summarized the dentists' adherence to infection control protocols.

RESULTS

Out of forty-nine respondents (49), the majority (92%) provided their teams' orientation on COVID-19 infection control protocols before reopening. Notably, 57% deferred elective procedures and 43% postponed aerosolgenerating procedures (AGPs). Only 39% utilized rubber dam isolation during AGPs. Most respondents reported full implementation of recommended administrative controls during the pandemic, with 92% isolating their treatment areas from other parts of the clinic. Most respondents adopted high-efficiency particulate air (HEPA) filtration units (82%) as one of their clinic’s engineering controls, and an extraoral vacuum machine, accounting for 71% of the respondents. The most common disinfection product used by the participants was alcohol, which was at 94%. Additionally, over 90% adhered to all recommended hand hygiene practices for both dental staff and patients. For the waste management protocols, only 55% of the respondents have their infectious waste collected by third-party Treatment Storage and Disposal (TSD) facilities.

CONCLUSION

The data shows that with the guidelines posted by both the PDA and CDC, the city’s dental practitioners could still provide services to the community in the safest manner at the time by being updated and following the infection control practices suggested by both organizations. Although some areas could have been improved, such as third-party waste management and the utilization of RT-PCR testing, some of these problems could have been attributed to the lack of availability in their areas.

Public Health ; Philippines ; Interprofessional Education ; World Health Organization ; Centers For Disease Control And Prevention, U.s. ; Centers For Disease Control And Prevention (u.s.)

Background/Aims: Chronic constipation is prevalent yet under-diagnosed across Asia, compromising quality of life and burdening healthcare systems. Cultural stigma, varied diets, and limited access to standardized diagnostic tools delay timely care. Methods: The Bali Chronic Constipation Roundtable in November 2024, brought together experts from 11 Asian countries. The group reviewed epidemiological data, analyzed multinational questionnaire on clinical practice pattern, and conducted structured discussions to identify key barriers and propose region-specific recommendations. Results: Chronic constipation prevalence varies across Asia, ranging from 1.8% in India to 16.6% in Japan, with women and the elderly disproportionately affected. Under-reporting persists owing to cultural taboos and widespread self treatment with laxatives and traditional medications. Although the Rome IV criteria remains the global standard, they may not fully reflect Asian symptom profiles, and diagnosis is limited by scarce motility laboratories. First line therapies such as dietary-fiber optimization and osmotic laxatives are widely available, but newer pharmacotherapies (prucalopride, linaclotide, lubiprostone, and elobixibat) remain costly and unevenly accessible. Biofeedback for dyssynergic defecation is underutilized due to limited availability. Experts recommend expanded regional research on to refine diagnostic criteria, coupled with enhanced physician education and public awareness. They advocate accessibility to second-line and novel therapies that incorporate culturally attuned regional guidelines, and improved access to gastrointestinal motility testing. Conclusions The Bali Chronic Constipation Roundtable highlighted Asia’s need for region specific diagnostics and management. Addressing diagnostic and treatment gaps will improve outcomes, while ongoing researcher clinician policy collaboration must standardize guidelines, advance research, and ensure equitable care across Asia.

Nipah virus (NiV), a pathogen with pandemic potential, lacks approved treatments or vaccines, highlighting the urgent need for research on immune-targeted antigenic determinants. A significant gap persists in NiV research, as studies on the fusion (F) protein critical for viral entry as well as the B cells epitopes, have primarily focused on computational prediction rather than experimental validation of immunogenic epitopes obtained through immunoinformatics approach. This study focused on the conserved F protein across NiV human isolates and employed an immunoinformatics approach to predict linear B-cell epitopes capable of direct immune activation. Predicted epitopes were screened for antigenicity, toxicity, and allergenicity. Molecular docking analysis was performed to evaluate its binding affinity with B-cell receptors (BCRs). To validate its immunogenicity, the LF6 peptide was synthesized and used in an indirect ELISA to test sera from cohort previously infected with NiV as well as with negative cohort. Epitope LF6 (LISNIEIGFCL) was identified as a strong candidate based on its immunogenic properties. Molecular docking showed favorable binding of LF6 with BCR. ELISA results revealed that one sera from the survival cohort showed positive response which is an IgG antibody response 2-fold higher (0.343) than the cut-off value (0.0171). This study provides the first reported evidence linking computational predictions with functional immune reactivity for a B-cell epitope of NiV. The findings suggest that LF6 has the potential to elicit specific immune responses. However, given the small sample size, further validation in larger cohorts is essential to confirm LF6’s vaccine relevance.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.