BACKGROUND

Burn injuries remain a significant global public health problem, causing substantial morbidity, mortality, and economic burden, particularly in low- and middle-income countries where nearly 90% of cases occur. Despite the importance of timely and appropriate first aid in reducing complications, community responses to burn injuries in many settings continue to rely on traditional or non-evidence-based practices.

OBJECTIVES

This qualitative phenomenological study explored community-based knowledge and responses related to the causes and first aid of burn injuries.

METHODS

The study involved ten (10) purposively selected informants residing in South Mangga Dua Urban Village, Central Jakarta, Indonesia. Data collection methods included semi-structured interviews, direct observations, and focus group discussions (FGDs). Thematic analysis was used.

RESULTS

Three (3) core domains were identified: (1) community perceptions of burn causes and classifications, (2) indigenous first aid practices used in domestic settings, and (3) sources of knowledge and information pathways related to burn first aid. Participants commonly attributed burns to incidents involving fire, hot liquids, and electrical faults. Their understanding of burn severity was limited to superficial assessments, with little awareness of clinical classifications. First aid responses were largely based on traditional practices such as the application of toothpaste, honey, or aloe vera, while evidencebased practices like using running water were rarely mentioned. Notably, most participants relied on familial teachings and informal community experiences as their primary sources of knowledge, with limited exposure to health professionals or verified media content.

CONCLUSION

Community knowledge is culturally rooted but misaligned with medical standards, potentially leading to unsafe practices. Culturally sensitive health education integrating traditional beliefs and accurate information is essential to improve outcomes in burn injury management.

Wounds And Injuries ; Residence Characteristics ; Public Health ; Mortality ; Insemination, Artificial, Heterologous ; Income ; Financial Stress ; Burns ; Health Education ; Attitude ; First Aid ; Medicine ; Health Communication ; Urban Population

BACKGROUND

Hospitalization is a major complication of atrial fibrillation (AF) and its burden has been rising across Asia. In Korea alone, AF-related hospitalizations increased by 420% from 2006 to 2015. However, comparable data are lacking in the Philippines. This study aimed to determine the prevalence of AF-related hospitalizations among adult patients aged 19 years or older using database claims of the Philippine Health Insurance Corporation (PhilHealth) in 2017 and 2018.

RESULTS

In both 2017 and 2018, approximately 19–20 per 10,000 total hospital admissions were due to AF. The median patient age was 68 years in 2017 and 69 years in 2018. Most admissions occurred in private tertiary hospitals located in urban areas, with a median length of stay of three days. The in-hospital mortality rate was 1.1% for both years.

CONCLUSION

Among the arrhythmias, AF was the most common cause of hospitalization in the Philippines in 2017 and 2018, which accounted for 19 per 10,000 hospitalizations. Despite this burden, the associated in-hospital mortality rate remained low.

Atrial Fibrillation ; Hospitalization ; Mortality ; Philippines

BACKGROUND

Hospitalization is a major complication of atrial fibrillation (AF) and its burden has been rising across Asia. In Korea alone, AF-related hospitalizations increased by 420% from 2006 to 2015. However, comparable data are lacking in the Philippines. This study aimed to determine the prevalence of AF-related hospitalizations among adult patients aged 19 years or older using database claims of the Philippine Health Insurance Corporation (PhilHealth) in 2017 and 2018.

RESULTS

In both 2017 and 2018, approximately 19–20 per 10,000 total hospital admissions were due to AF. The median patient age was 68 years in 2017 and 69 years in 2018. Most admissions occurred in private tertiary hospitals located in urban areas, with a median length of stay of three days. The in-hospital mortality rate was 1.1% for both years.

CONCLUSION

Among the arrhythmias, AF was the most common cause of hospitalization in the Philippines in 2017 and 2018, which accounted for 19 per 10,000 hospitalizations. Despite this burden, the associated in-hospital mortality rate remained low.

Atrial Fibrillation ; Hospitalization ; Mortality ; Philippines

INTRODUCTION

The social determinants of health refer to an individual's social, political, and economic situation and environment, which can have an impact on their health. On the other hand, disability-adjusted life years (DALYs) reflect the mortalities and morbidities incurred due to disease and injury.

OBJECTIVES

This study aims to analyze the social determinants of health indicators and their association with communicable, non-communicable, and injury-related DALYs and deaths.

METHODS

Data from World Health Organization, World Bank, and International Labor Organization were used and considered for the 17 Social Determinants of Health categories. Logistic regression was used to determine the relationship of social determinants of health indicators with communicable, non-communicable, and injury-related DALYs and deaths.

RESULTS

Results show that an increase in the population, monetary poverty, adult illiteracy, and fine particulate matter increase IPNN DALYs. This study also found correlations of socioeconomic factors to NCD deaths and DALYs attributable to the environment. NCD DALYs and deaths are found to increase with the number of poor living with 3.10 dollars a day, while median daily per capita income, and increase in persons above retiring age receiving pension decrease NCD DALYs attributable to the environment. Focusing on injury DALYs and deaths, an increase in the number of poor living at 3.10 dollars a day, non-agricultural informal employment, and total average concentration of f ine particulate matter increases injury DALYs while the latter is observed to decrease when there is an increase in the medial daily per capita income, agricultural employment outside the formal sector, and vulnerable persons covered by social assistance.

CONCLUSION

Socio-economic factors such as income, employment, education, and social welfare program affect morbidity, disability, and mortality.

Human ; Social Determinants Of Health ; Disability-adjusted Life Years ; Injury ; Wounds And Injuries ; Morbidity ; Mortality

INTRODUCTION

It is anticipated that Chronic Obstructive Pulmonary Disease (COPD) has greater risk in acquiring COVID-19 infection and poorer outcome. However, current worldwide data are conflicting.

OBJECTIVES

This study primarily aims to compare the outcomes of COVID-19 patients with COPD and those without COPD in terms of length of hospital stay (LOS), recovery or mortality, treatment received, and predictors of mortality.

METHODS

This is a retrospective cohort chart review of 1,017 admitted adult COVID-19 patients from July to December 2020. Age, gender, smoking status, current control and medications for COPD, COVID-19 severity, symptoms, treatment, and outcomes of the two study groups were compared.

RESULTS

Prevalence rate of COPD was 3.8%. COVID-19 patients with COPD were older (median age of 69 vs 54, pCONCLUSION

COPD increases the risk for severe COVID-19 and lengthens LOS.

Human ; Covid-19 ; Pulmonary Disease, Chronic Obstructive ; Mortality

OBJECTIVES: Hepatocellular carcinoma is one of the most common primary malignant tumors with the third highest mortality rate worldwide. This study aims to identify key genes associated with hepatocellular carcinoma prognosis using the Gene Expression Omnibus (GEO) database and provide a theoretical basis for discovering novel prognostic biomarkers for hepatocellular carcinoma. METHODS: Hepatocellular carcinoma-related datasets were retrieved from the GEO database. Differentially expressed genes (DEGs) were identified using the GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and key genes were identified using Cytoscape software. The University of Alabama at Birmingham Cancer Data Analysis Resource (UALCAN) was used to analyze the expression levels of key genes in normal and hepatocellular carcinoma tissues, as well as their associations with pathological grade, clinical stage, and patient survival. The Human Protein Atlas (THPA) was used to further validate the impact of key genes on overall survival. Expression levels of key genes in the blood of hepatocellular carcinoma patients were evaluated using the expression atlas of blood-based biomarkers in the early diagnosis of cancers (BBCancer). RESULTS: A total of 78 DEGs were identified from the GEO database. GO and KEGG analyses indicated that these genes may contribute to hepatocellular carcinoma progression by promoting cell division and regulating protein kinase activity. Sixteen key genes were screened via Cytoscape and validated using UALCAN and THPA. These genes were overexpressed in hepatocellular carcinoma tissues and were associated with disease progression and poor prognosis. Finally, BBCancer analysis showed that ASPM and NCAPG were also elevated in the blood of hepatocellular carcinoma patients. CONCLUSIONS This study identified 16 key genes as potential prognostic biomarkers for hepatocellular carcinoma, among which ASPM and NCAPG may serve as promising blood-based markers for hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/mortality* ; Liver Neoplasms/pathology* ; Prognosis ; Computational Biology/methods* ; Protein Interaction Maps/genetics* ; Biomarkers, Tumor/genetics* ; Gene Expression Regulation, Neoplastic ; Gene Expression Profiling ; Gene Ontology ; Databases, Genetic

OBJECTIVES: Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related death worldwide, posing a serious threat to public health. Prognostication of overall survival (OS) in patients undergoing radical gastrectomy remains a clinical priority. Evidence suggests that preoperative nutritional and inflammatory status correlated with postoperative outcomes. This study aims to evaluate the prognostic value of the skeletal muscle index at the third lumbar vertebra (L3-SMI) as a trichotomous variable and to compare the performance of commonly used nutritional and inflammation-related indicators in predicting postoperative survival in GC patients. METHODS: This retrospective study analyzed clinical data of patients who underwent radical gastrectomy with neoadjuvant chemotherapy between 2011 and 2018 at the Department of Gastrointestinal Surgery, Xiangya Hospital of Central South University. L3-SMI was measured by preoperative CT, and 8 preoperative nutritional/inflammatory indices were calculated from the latest laboratory tests before surgery: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), albumin-globulin ratio (AGR), and prognostic nutritional index (PNI). L3-SMI was categorized into 3 groups using X-tiler software. ROC curves were used to determine optimal cut-off values for the other eight indices. Kaplan-Meier curves and univariate/multivariate Cox proportional hazards models were used to analyze the association between variables and OS. Concordance index (C-index) and subgroup analysis assessed predictive performance and consistency across patient subgroups. RESULTS: A total of 546 patients were included, with a minimum follow-up time of 36 months. Kaplan-Meier and univariate analysis showed that L3-SMI and the 8 indicators were significantly associated with OS (all P<0.01). After adjusting for age, gender, tumor site, differentiation, pTNM stage, type of surgery, anemia, CEA, and AFP, multifactorial Cox analysis revealed that L3-SMI (HR=0.676, 95% CI 0.523 to 0.872), AGR (HR=0.611, 95% CI 0.452 to 0.827), and PNI (HR=0.590, 95% CI 0.418 to 0.833) were independent predictors of OS. The full model confirmed the independent prognostic roles of L3-SMI, AGR, and PNI. Among all indicators, PNI had the highest C-index for 1-year OS prediction (0.632, 95% CI 0.568 to 0.695), while AGR showed the best performance at 3 years (0.585, 95% CI 0.548 to 0.622) and 5 years (0.578, 95% CI 0.542 to 0.613). Subgroup analysis indicated that higher L3-SMI, AGR, and PNI were associated with lower mortality risk in patients aged<65 years, with lower gastric tumors, poor differentiation, stage III pTNM, or who underwent subtotal gastrectomy. CONCLUSIONS Compared with other indicators, preoperative nutritional markers such as L3-SMI, AGR, and PNI demonstrated superior prognostic value for OS in gastric cancer patients undergoing radical gastrectomy. Assessing these indices can help identify patients at high risk of poor prognosis, thereby guiding targeted nutritional interventions and potentially improving survival outcomes.
Humans ; Stomach Neoplasms/mortality* ; Gastrectomy/methods* ; Retrospective Studies ; Female ; Male ; Middle Aged ; Prognosis ; Aged ; Adult ; Nutritional Status ; Inflammation ; Predictive Value of Tests ; Preoperative Period ; Survival Rate

OBJECTIVES: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy, with disease progression driven by cytogenetic abnormalities and a complex bone marrow microenvironment. This study aims to construct a prognostic model for MM based on transcriptomic data and lipid metabolism related genes (LRGs), and to identify potential drug targets for high-risk patients to support clinical decision-making. METHODS: In this study, 2 transcriptomic datasets covering 985 newly diagnosed MM patients were retrieved from the Gene Expression Omnibus (GEO) database. Univariate Cox regression and 101 machine learning algorithms were used for gene selection. An LRG-based prognostic model was constructed using Stepwise Cox (both directions) and random survival forest (RSF) algorithms. The association between the prognostic score and clinical events was evaluated, and model performance was assessed using time-dependent receiver operating characteristic (ROC) curves and the C-index. The added predictive value of combining prognostic scores with clinical variables and staging systems was also analyzed. Differentially expressed genes between high- and low-risk groups were identified using limma and clusterProfiler and subjected to pathway enrichment analysis. Drug sensitivity analysis was conducted using the Genomics of Drug Sensitivity in Cancer (GDSC) database and oncoPredict to identify potential therapeutic targets for high-risk patients. The functional role of key LRGs in the model was validated via in vitro cell experiments. RESULTS: An LRG-based prognostic model (LRG17) was successfully developed using transcriptomic data and machine learning. The model demonstrated robust predictive performance, with area under the curve (AUC) values of 0.962, 0.912, and 0.842 for 3-, 5-, and 7-year survival, respectively. Patients were stratified into high- and low-risk groups, with high-risk patients showing significantly shorter overall survival (OS) and event-free survival (EFS) (both P<0.001) and worse clinical profiles (e.g., lower albumin, higher β2-microglobulin and lactate dehydrogenase levels). Enrichment analysis revealed that high-risk patients were significantly enriched for pathways related to chromosome segregation and mitosis, whereas low-risk patients were enriched for immune response and immune cell activation pathways. Drug screening suggested that AURKA inhibitor BMS-754807 and FGFR3 inhibitor I-BET-762 may be more effective in high-risk patients. Functional assays demonstrated that silencing of key LRG PLA2G4A significantly inhibited cell viability and induced apoptosis. CONCLUSIONS LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.
Humans ; Multiple Myeloma/mortality* ; Prognosis ; Lipid Metabolism/genetics* ; Transcriptome ; Machine Learning ; Male ; Female ; Gene Expression Profiling ; Algorithms

OBJECTIVES: Nasopharyngeal carcinoma is often diagnosed at a late stage due to its concealed location and exhibits marked regional clustering, posing a significant public health challenge in China. This study aims to analyze the disease burden of nasopharyngeal carcinoma in China using the latest 2021 Global Burden of Diseases (GBD) database, providing epidemiological evidence for precise prevention and control of nasopharyngeal carcinoma. METHODS: Age-standardized incidence rate (ASIR), mortality rate, and disability-adjusted life year (DALY) rate were used as indicators of disease burden. Stratified analyses were conducted by age, sex, socio-demographic index (SDI), and relevant risk factors. The autoregressive integrated moving average (ARIMA) model and Bayesian age-period-cohort (BAPC) model were employed to project ASIR trends through 2050. RESULTS: In 2021, China's age-standardized incidence, mortality, and DALY rates of nasopharyngeal carcinoma were 3.4/100 000, 1.5/100 000, and 48.7/100 000, respectively, all higher than the global average. Across all age groups, Chinese males exhibited higher ASIR, mortality, and DALY rates than females. From 1990 to 2021, the disease burden of nasopharyngeal carcinoma in China decreased gradually with rising SDI. The proportion of nasopharyngeal carcinoma burden attributed to alcohol consumption, smoking, and occupational formaldehyde exposure in China exceeded global levels, especially among males. Projections from both models indicate a rising trend in ASIR for males, females, and the general population in China and globally from 2022 to 2050. CONCLUSIONS Over the past 30 years, the disease burden of nasopharyngeal carcinoma in China has decreased with the increasing SDI values but remains higher than the global average. Furthermore, ASIR is projected to increase over the next 30 years. It is imperative for China to enhance healthcare resource allocation for nasopharyngeal carcinoma prevention, diagnosis, and treatment, particularly among high-risk male populations.
Humans ; China/epidemiology* ; Male ; Nasopharyngeal Carcinoma/mortality* ; Female ; Middle Aged ; Nasopharyngeal Neoplasms/mortality* ; Adult ; Incidence ; Global Burden of Disease ; Disability-Adjusted Life Years ; Aged ; Risk Factors ; Adolescent ; Databases, Factual ; Young Adult ; Cost of Illness ; Child ; Bayes Theorem

OBJECTIVES: The Charlson comorbidity index reflects overall comorbidity burden and has been applied in cardiovascular medicine. However, its role in predicting in-hospital mortality in patients with acute myocardial infarction (AMI) complicated by ventricular arrhythmias (VA) remains unclear. This study aims to evaluate the predictive value of the Charlson comorbidity index in this setting and to construct a nomogram model for early risk identification and individualized management to improve outcomes. METHODS: Using the open-access critical care database MIMIC-IV (Medical Information Mart for Intensive Care IV), we identified intensive care unit (ICU) patients diagnosed with AMI complicated by VA. Patients were grouped according to in-hospital survival. The predictive performance of the Charlson comorbidity index and other clinical variables for in-hospital mortality was analyzed. Key predictors were selected using the least absolute shrinkage and selection operator (LASSO) regression, followed by multivariable Logistic regression. A nomogram model was constructed based on the regression results. Model performance was assessed using receiver operating characteristic (ROC) curves and calibration plots. RESULTS: A total of 1 492 patients with AMI and VA were included, of whom 340 died and 1 152 survived during hospitalization. Significant differences were observed between survivors and non-survivors in sex distribution, vital signs, comorbidity burden, organ function, and laboratory parameters (all P<0.05). The area under the curve (AUC) of the Charlson comorbidity index for predicting in-hospital mortality was 0.712 (95% CI 0.681 to 0.742), significantly higher than albumin, international normalized ratio (INR), hemoglobin, body temperature, and platelet count (all P<0.001), but comparable to Sequential Organ Failure Assessment (SOFA) score (P>0.05). LASSO regression identified seven key predictors: the Charlson comorbidity index (quartile groups: T1, <6; T2, ≥6-<7; T3, ≥7-<9; T4, ≥9), ventricular fibrillation, age, systolic blood pressure, respiratory rate, body temperature, and SOFA score. Multivariate Logistic regression showed that compared with T1, mortality risk increased significantly in T2 (OR=1.996, 95% CI 1.135 to 3.486, P=0.016), T3 (OR=3.386, 95% CI 2.192 to 5.302, P<0.001), and T4 (OR=5.679, 95% CI 3.711 to 8.842, P<0.001). Age (OR=1.056, P<0.001), respiratory rate (OR=1.069, P<0.001), SOFA score (OR=1.223, P<0.001), and ventricular fibrillation (OR=2.174, P<0.001) were independent risk factors, while systolic blood pressure (OR=0.984, P<0.001) and body temperature (OR=0.648, P<0.001) were protective factors. The nomogram incorporating these predictors achieved an AUC of 0.849 (95% CI 0.826 to 0.871) with high discrimination and good calibration (mean absolute error=0.014). CONCLUSIONS The Charlson comorbidity index is an independent predictor of in-hospital mortality in AMI patients complicated by VA, with performance comparable to the SOFA score. The nomogram model based on the Charlson comorbidity index and additional clinical variables effectively estimates mortality risk and provides a valuable reference for clinical decision-making.
Humans ; Nomograms ; Hospital Mortality ; Myocardial Infarction/complications* ; Male ; Female ; Comorbidity ; Middle Aged ; Aged ; Arrhythmias, Cardiac/complications* ; ROC Curve ; Intensive Care Units