Determinants of Nurses' Compliance with Infection Prevention and Control Practices in Critical Care Units

Introduction

It is widely recognized that critical care environments significantly increase the risk of infection for both patients and healthcare personnel.

Purpose

This study aimed to assess the determinants of nurses' compliance with infection prevention and control practices in critical care units.

Methods

A cross-sectional study was conducted with 155 nurses working in critical care units. Data were collected using a structured questionnaire that measured sociodemographic characteristics, compliance, knowledge, and perceptions of infection prevention and control (IPC) practices. Statistical analyses, including multiple linear regression, were performed to assess predictors of compliance with IPC practices. This study was conducted following the Strengthening the Reporting of Observational Studies in Epidemiology guidelines to ensure transparency and rigor in the reporting of the methodology and findings.

Results

A total of 155 nurses participated in the study, yielding a response rate of 91.1%. Seventy-one percent demonstrated good compliance with IPC practices, while only 39.4% exhibited moderate knowledge of IPC guidelines. Experience in critical care (β = 3.542, p < .05) and institutional support (β = 0.246, p < .01) were significant predictors of compliance, highlighting the importance of both factors in promoting adherence to IPC practices.

Conclusion

Although compliance with IPC practices was generally high, gaps in knowledge and perception suggest the need for enhanced educational initiatives and institutional support to further improve IPC adherence. Future research should focus on developing strategies that address these gaps to ensure sustainable compliance.

Association between coffee and caffeine intake and functional dyspepsia

No previous study has examined the association between coffee and caffeine intake and odds of functional dyspepsia (FD). The aim of this study was to investigate the association between coffee and caffeine intake and odds of FD and its components in a large sample of Iranian adults. In this cross-sectional study on 3362 adults aged 18-55 years, a validated food frequency questionnaire (DS-FFQ) was used to assess dietary intakes. A validated modified Persian version of the Rome III questionnaire was used for assessment of FD. Logistic regression was applied to compute odds ratios for FD and its components considering a wide range of covariates. Mean age of study population was 36.2 ± 7.8 years, of them 58.3% were females. The prevalence of FD among study participants was 14.5%. The prevalence of post-prandial fullness, early satiation, and epigastric pain was 7.6, 5.8, and 7.6%, respectively. After controlling for potential confounders, no significant association was observed between coffee (OR: 1.27; 95% CI: 0.86-1.87), and caffeine (OR: 1.00; 95% CI: 0.99-1.02) consumption and odds of FD. In addition, coffee and caffeine consumption was not significantly associated with odds of FD symptoms such as early satiation, post-prandial fullness, and epigastric pain. This was also the case when the analysis was done stratified by gender and BMI status. In conclusion, we found no significant association between coffee and caffeine consumption with odds of FD and its symptoms. Further research in other populations with high coffee consumption is needed.

Asian Perspective on Hepatitis B Virus and Hepatitis C Virus Elimination

Hepatitis B virus (HBV) and hepatitis C virus (HCV) infections remain significant public health challenges in Asia, affecting millions and contributing to substantial morbidity and mortality. The prevalence of these infections varies across the region, with factors such as vaccination coverage, healthcare infrastructure, and sociocultural barriers influencing the epidemiology of both viruses. The persistent burden of chronic HBV, particularly in older populations, and the evolving HCV genotype landscape highlight the need for targeted, region-specific strategies. Universal screening programs have emerged as essential tools for detecting undiagnosed cases and optimizing healthcare resource allocation. Given the overlapping epidemiology of HBV and HCV, comprehensive public health interventions tailored to the unique contexts of different Asian countries are crucial for achieving global elimination goals. This review examines the epidemiological trends, challenges, and opportunities for addressing HBV and HCV in Asia, emphasizing the importance of overcoming sociocultural barriers to improve prevention, diagnosis, and treatment efforts across diverse populations.

Molecular identification and subtypes analysis of Blastocystis in South Khorasan province, Eastern Iran

BACKGROUND

Blastocystis is a prevalent intestinal parasitic protist that infects both birds and animals. There are at least 44 subtypes (ST) of Blastocystis, with ST1-ST9 being found in humans. The correlation between specific subtypes and pathogenicity has not been definitively established. This study aimed to identify the genetic diversity within subtypes of Blastocystis in stool samples collected from individuals who were referred to medical facilities in the cities of Birjand, Darmian, Nehbandan and Ferdows, Eastern Iran.

METHODS

A total of 1800 stool specimens were randomly collected from referred individuals in selected medical laboratories of South Khorasan province. DNA was extracted and PCR before, sequencing and subtyping were performed for characterization and phylogenetic analysis.

RESULTS

A total of 118 (6.5%) individuals were examined positive with Blastocystis through microscopic observations. A ~ 620-bp segment of the SSU rRNA gene of Blastocystis was amplified and were genetically evaluated using MEGA6 and DnaSP. 30 samples of Blastocystis positive samples were sequenced. BLAST analyses identified 3 distinct subtypes including ST1 (11, 36.66%), ST2 (5, 16.68%), ST3 (14, 46.66) within our samples. Intra-subtype discrimination showed the similarity of 95.88%, 91.56% and 92.14% for ST1 and ST2, ST1 and ST3, and ST2 and ST3, respectively. Additionally, allele 4 for ST1; allele 12 for ST2; and alleles 34 and 36 for ST3 were detected.

CONCLUSIONS

As results, ST1 exhibited the highest nucleotide diversity (π: 0.00113), suggesting a high degree of genetic diversity within this subtype. Phylogenetic analysis showed that, ST3 was clustered to animal isolates from cattle and cats, indicating the potential zoonotic transmission of Blastocystis.

Research Progress on the Anti-Liver Cancer Mechanism and Toxicity of Rhubarb Anthraquinone

Ethnopharmacological Relevance

Rhubarb has the effect of breaking blood stasis and abnormal mass, and was often used to treat various tumor diseases including liver cancer in ancient China. Recipes containing rhubarb have anti-liver cancer properties and are still used today. However, the main components and mechanism of action of rhubarb against liver cancer are still unclear.

Aim of the Review

To conduct a review of the anti-liver cancer effects and toxicity of rhubarb anthraquinones (AQs).

Materials and Methods

This article reviewed the effects of rhubarb AQs in the treatment of liver cancer and the signaling pathways involved, and discussed the toxicity and pharmacokinetics of rhubarb AQs by searching the Web of Science, PubMed and CNKI databases.

Results

Rhubarb (Rhei Radix et Rhizoma) is a traditional Chinese medicine that has been existed for thousands of years and is used as an anti-cancer drug. Modern pharmacological research shows that rhubarb AQs, as the main component of rhubarb, contains emodin, rhein, chrysophanol, physcione and aloe-emodin, which has anti-liver cancer effects and can be considered as a potential therapeutic drug for liver cancer. However, many modern studies have shown that rhubarb AQs have certain toxicity, which hinders in-depth research on rhubarb AQs.

Conclusion

Rhubarb AQs can be used as a potential anti-liver cancer drug, but its research still has many limitations. Strengthening research on related experiments and finding a balance between toxicity and efficacy are all directions worth studying in the future.

Bayesian age-period-cohort projection of cancers in Iran: a modeling study

INTRODUCTION

Cancer is a significant public health issue in Iran, and its incidence has been on the rise in recent years. The objective of this study is to predict the incidence of total cancer in Iran using a Bayesian age-period-cohort (APC) model.

METHODS

Utilizing age-period-cohort modeling, this study assessed the multifaceted effects of age, period, and cohort on cancer incidence during the period spanning 2005 to 2017. Key metrics, including the net drift (representing the overall annual percentage change), local drift (indicating annual percentage changes within specific age groups), and longitudinal age curves (depicting expected age-specific rates over time), were computed. Moreover, the evaluation encompassed an analysis of period and cohort relative risks. To project the future age-standardized incidence rates of cancers from 2018 to 2027, Bayesian age-period-cohort analysis integrated nested Laplace approximations.

RESULT

The age-standardized incidence rate and the absolute number of cancer cases in Iran showed an upward trend. The net drift was 1.79% (95% confidence interval, CI: 0.87% to 2.72%) for males and 3.31% (95% CI: 2.49% to 4.14%) for females. Local drifts remained consistently above zero for all age groups from 2005 to 2017, except for the under-5 age group in both males and females, and the 45-49 and 50-54 age groups in females. After accounting for period deviations, the risk of cancer incidence exhibited an exponential increase with age for both sexes. Based on the Bayesian age-period-cohort analysis, it is estimated that there will be around 210,701 new cancer cases in 2027. Moreover, the Age-Standardized Rate (ASR) for cancer is anticipated to reach 240.32 per 100,000 by 2027. The forecasts indicate a rise in cancer incidence rates across all age groups for both males and females.

CONCLUSION

This study underscores the urgency of implementing targeted preventive strategies aligned with demographic shifts and lifestyle factors. Emphasizing the role of robust cancer registries, it advocates for continuous monitoring to inform evidence-based interventions.

War exposure, daily stressors, and mental health 15 years on: implications of an ecological framework for addressing the mental health of conflict-affected populations

AIMS

Fifteen years ago, we published an article in Social Science and Medicine seeking to resolve the contentious debate between advocates of two very different frameworks for understanding and addressing the mental health needs of conflict-affected populations. The two approaches, which we labelled trauma-focused and psychosocial, reflect deeply held beliefs about the causes and nature of distress in war-affected communities. Drawing on the burgeoning literature on armed conflict and mental health, the reports of mental health and psychosocial support (MHPSS) staff in the field, and on research on the psychology and psychophysiology of stress, we proposed an integrative model that drew on the strengths of both frameworks and underscored their essential complementarity. Our model includes two primary pathways by which armed conflict impacts mental health: directly, through exposure to war-related violence and loss, and indirectly, through the harsh conditions of everyday life caused or exacerbated by armed conflict. The mediated model we proposed draws attention to the effects of stressors both past (prior exposure to war-related violence and loss) and present (ongoing conflict, daily stressors), at all levels of the social ecology; for that reason, we have termed it an ecological model for understanding the mental health needs of conflict-affected populations.

METHODS

In the ensuing 15 years, the model has been rigorously tested in diverse populations and has found robust support. In this paper, we first summarize the development and key tenets of the model and briefly review recent empirical support for it. We then discuss the implications of an ecological framework for interventions aimed at strengthening mental health in conflict-affected populations.

RESULTS

We present preliminary evidence suggesting there has been a gradual shift towards more ecological (i.e., multilevel, multimodal) programming in MHPSS interventions, along the lines suggested by our model as well as other conceptually related frameworks, particularly public health.

CONCLUSIONS

We reflect on several gaps in the model, most notably the absence of adverse childhood experiences. We suggest the importance of examining early adversity as both a direct influence on mental health and as a potential moderator of the impact of potentially traumatic war-related experiences of violence and loss.

Leptin/LPS-treated dendritic cells reduce the expression of genes involved in tumor tissue metastasis and angiogenesis in an animal model of breast cancer

Leptin, an immune-regulating protein, enhances the maturation of dendritic cells (DCs). We previously demonstrated that leptin and lipopolysaccharide (LPS) promote the expression of co-stimulatory molecules on the surface of DCs. Leptin/LPS-treated DCs increased T cell responses against 4T1 breast cancer in mice. Therefore, in the present study, we investigate the effects of a DC vaccine treated with leptin and LPS on the genes involved in tumor metastasis, angiogenesis, and related cytokines in a mouse model of breast cancer. Tumor induction was achieved through subcutaneous injection of 4T1 cells into syngeneic mice. On days 12 and 19, the mouse groups received the DC vaccine treated with leptin and a combination of leptin and LPS. After sacrificing the mice on day 26, the levels of IL-6 and IL-33 in the serum were assayed using the ELISA technique, and the expression levels of the VEGF, CCL2, MMP9, and CCL5 genes in the tumors were measured by Real-Time PCR. Compared to untreated tumor-bearing mice, the leptin-treated mature DC (mDC) group exhibited a significant reduction in the expression of MMP9 (0.33-fold, p = 0.01) and CCL5 (0.81-fold, p = 0.02). The leptin-LPS-treated mDC group showed decreased expression of genes involved in metastasis and tumor growth, including VEGF (0.72-fold, p = 0.03), MMP9 (0.26-fold, p = 0.001), and CCL5 (0.3-fold, p = 0.006), indicating more efficient prevention of metastasis. The CCL2 gene expression levels in both treatment groups showed a slight decreasing trend, but these changes were not statistically significant. The leptin-treated mDC group reduced IL-6 production by approximately 16% (p = 0.02), while treatment with the leptin-LPS-treated mDC significantly decreased IL-6 production by approximately 22% (p = 0.01) and increased IL-33 production by approximately 42% (p = 0.03). The findings of the present study indicate that the leptin-LPS-treated mDC vaccine group reduced the expression of genes and cytokines involved in metastasis and angiogenesis, demonstrating greater efficacy compared to the leptin-treated mDC vaccine group.

Prophylactic ondansetron for preventing intraoperative shivering, nausea and vomiting during spinal anesthesia for cesarean section: a randomized controlled trial

Background

Shivering, nausea and vomiting are common complications in cesarean section during neuraxial anesthesia. The aim of this study was to investigate the effects of prophylactic use of ondansetron on intraoperative shivering, nausea and vomiting in women undergoing cesarean section.

Methods

A total of 80 full-term parturients were randomly divided into the ondansetron group and the control group. The ondansetron group received 0.075 mg/kg of ondansetron 15 min before anesthesia, the control group were given the same volume of saline solution. The incidence of shivering, nausea and vomiting was noted. The occurrence and severity of shivering and other outcomes, such as hypotension, bradycardia and dizziness were recorded during the surgery. Umbilical arterial blood was analyzed, and the neonatal Apgar scores were assessed.

Results

The incidence of grade ≥1 shivering was lower in ondansetron group. The incidence of shivering, nausea and vomiting was significantly lower in ondansetron group than the control group (2.5% vs. 22.3%, P = 0.007, 2.5% vs. 40%, P = 0.001, respectively). No significant differences were observed in the incidence of hypotension, bradycardia, headache and dizziness between the 2 groups (P > 0.05). The umbilical artery pH and neonatal Apgar score were similar between the 2 groups (P > 0.05).

Conclusion

Prophylactic use of ondansetron could prevent intra-operative shivering and reduce the incidence of nausea and vomiting in cesarean section under spinal anesthesia without increasing the incidence of maternal and infant adverse events.

Clinical Trial Registration

https://www.chictr.org.cn, identifier ChiCTR2100042453.

Beyond conventional care: The therapeutic potential of hemoperfusion in severe COVID-19

BACKGROUND

Hemoperfusion (HP) is an extracorporeal blood purification modality utilized to remove small- to medium-sized molecules, such as toxins and cytokines, that are difficult to remove by conventional hemodialysis. In clinical practice, HP has been successfully used as a salvage therapy for drug overdose and occasionally in patients with liver failure and sepsis.

AIM

To summarize the clinical outcomes of a series of patients with severe coronavirus disease 2019 (COVID-19) who received HP.

METHODS

Here, we summarize the clinical outcomes of a series of 18 patients with severe COVID-19 who received HP in our institution during the COVID-19 pandemic. A review of the literature was also performed.

RESULTS

HP was well-tolerated, and after an average of three sessions, respiratory and cardiovascular parameters as well as blood inflammatory markers improved in most patients. Ten patients were discharged alive. Our literature search identified a total of 20 studies (873 patients) in which HP was used for COVID-19. Nine studies reported improvements in respiratory parameters, and 13 studies (438 patients in total) reported better survival rates in patients undergoing HP.

CONCLUSION

HP was well-tolerated in patients with severe COVID-19, and most studies reported improved clinical parameters, including better survival rates, when HP was used in patients with severe COVID-19. Further research, especially prospective studies, is needed to evaluate the utility of HP as an early and supportive therapy for critically ill patients due to infectious diseases, such as those with COVID-19 or severe sepsis.

Predictive Value of TyG and TyG-BMI Indices for Non-Alcoholic Fatty Liver Disease in High-Altitude Regions of China: A Cross-Sectional Study

Background: The associations between triglyceride glucose (TyG), triglyceride glucose-body mass index (TyG-BMI), and non-alcoholic fatty liver disease (NAFLD) in high-altitude regions remain unclear. Methods: This is a cross-sectional, population-based study comprising 1384 adults living in Jianchuan county, China, which has an average altitude of over 2200 m. Logistic regressions were used to examine the associations between TyG, TyG-BMI, and NAFLD. Receiver operating characteristic (ROC) curves were utilized to compare the predictive ability of TyG, TyG-BMI, hepatic steatosis index (HSI), and triglyceride glucose-alanine aminotransferase (TyG-ALT). Results: In total, 307 (35.7%) male and 81 (15.4%) female participants were diagnosed with NAFLD. Individuals with NAFLD had higher BMI, blood pressure, and TyG indices. The adjusted odds ratios (95% confidence intervals) for the highest quartile of TyG and TyG-BMI were 16.04 (8.51-30.25) and 48.55 (25.12-93.81), respectively. The areas under the ROC curve were 0.811 (95% CI: 0.787-0.836) for TyG, 0.883 (95% CI: 0.864-0.902) for TyG-BMI, 0.839 (95% CI: 0.817-0.863) for HSI, and 0.831 (95% CI: 0.801-0.855) for TyG-ALT. Tyg-BMI had the highest sensitivity (0.832) and specificity (0.780) compared to the other indices. Conclusions: Both TyG and TyG-BMI were associated with higher NAFLD risk in people living in high-altitude regions, while TyG-BMI had greater predictive capabilities.

The association between mortality due to COVID-19 and coagulative parameters: a systematic review and meta-analysis study

AIMS AND OBJECTIVES

This systematic review and meta-analysis study evaluated the association between mortality due to COVID-19 and coagulative factors.

METHODS

A systematic search was conducted on electronic databases including PubMed, Scopus, and the Web of Science from the beginning of the pandemic until October 2024 to identify relevant studies on COVID-19 patients and their laboratory findings related to coagulation markers and mortality outcome. Eligibility criteria were defined based on the PICO framework, and data extraction was performed by two authors independently using a standardized sheet. Statistical analysis was accomplished using the random effects model, and heterogeneity among studies was assessed using the I2 test. R and RStudio were used for statistical analysis and visualization.

RESULTS

Our systematic literature search yielded 6969 studies, with 48 studies meeting the inclusion criteria for our meta-analysis. The mean platelet count was significantly lower in deceased COVID-19 patients compared to survivors (20.58), while activated partial thromboplastin time (aPTT) and fibrinogen levels did not show significant differences. The pooled mean difference of D-Dimer, International Normalized Ratio (INR), and prothrombin time (PT) were significantly lower in survived patients (-2.45, -0.10, and -0.84, respectively). These findings suggest that platelet count, D-Dimer, INR, and PT may serve as potential indicators of mortality in COVID-19 patients.

CONCLUSION

The results of our systematic review and meta-analysis revealed a significant reduction in the pooled platelet count among deceased individuals when compared to survivors. However, no significant distinctions were observed in the pooled mean activated aPTT and fibrinogen levels between the deceased and survivor groups. On the other hand, there were noticeable variations in the pooled estimated mean of INR, PT, and D-Dimer levels, with significantly higher values in the deceased group compared to those who survived.

A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings

Background and Aims

The rapid expansion of artificial intelligence (AI) within worldwide healthcare systems is occurring at a significant rate. In this context, the Middle East has demonstrated distinctive characteristics in the application of AI within the healthcare sector, particularly shaped by regional policies. This study examined the outcomes resulting from the utilization of AI within healthcare systems in the Middle East.

Methods

A systematic review was conducted across several databases, including PubMed, Scopus, ProQuest, and the Cochrane Database of Systematic Reviews in 2024. The quality assessment of the included studies was conducted using the Authority, Accuracy, Coverage, Objectivity, Date, Significance checklist. Following this, a thematic analysis was carried out on the acquired data, adhering to the Boyatzis approach.

Results

100 papers were included. The quality and bias risk of the included studies were delineated to be within an acceptable range. Multiple themes were derived from the thematic analysis including: "Prediction of diseases, their diagnosis, and outcomes," "Prediction of organizational issues and attributes," "Prediction of mental health issues and attributes," "Prediction of polypharmacy and emotional analysis of texts," "Prediction of climate change issues and attributes," and "Prediction and identification of success and satisfaction among healthcare individuals."

Conclusion

The findings emphasized AI's significant potential in addressing prevalent healthcare challenges in the Middle East, such as cancer, diabetes, and climate change. AI has the potential to overhaul the healthcare systems. The findings also highlighted the need for policymakers and administrators to develop a concrete plan to effectively integrate AI into healthcare systems.

Visibility, Physical Work Environment, and Stress in ICU Nurses

OBJECTIVE

Relationships among coworker and patient visibility, reactions to physical work environment, and work stress in ICU nurses are explored.

BACKGROUND

Millions of dollars are invested annually in the building or remodeling of ICUs, yet there is a gap in understanding relationships between the physical layout of nursing units and work stress.

METHODS

Using a cross-sectional, correlational, exploratory, predictive design, relationships among variables were studied in a diverse sample of ICU nurses.

RESULTS

Visibility had a direct effect on work stress (P < 0.01). The ViPES (Visibility, Physical Environment and Stress) model can help explain relationships among study variables. The findings from this study support the notion that high visibility is a job resource and low visibility is a job demand.

CONCLUSIONS

Design features supporting a sense of connection may be especially important to less experienced ICU nurses. Elements of the built environment that allow nurses to see not only patients, but also their coworkers, may help mitigate work stress.

The Effect of Emotion Regulation Training on Nurses: A Quasi-Experimental Study

This study investigated the impact of emotion regulation training on nurses, which is crucial for enhancing their emotional well-being and job performance. We implemented a psychoeducation program to help nurses effectively manage emotional distress and examined how this training affected their use of cognitive reappraisal and suppression strategies. The quasi-experimental study was conducted from January to June 2020, involving 72 nurses (36 in the training group and 36 in the control group) from a university hospital. We used descriptive statistics and repeated measures ANOVA for data analysis. The results indicate that the training group had significantly higher cognitive reappraisal scores than the control group, with scores increasing significantly at post-test, 1 month, and 3 months after training (F = 24.41; p < 0.001). Additionally, suppression scores decreased significantly for the training group compared to the control group. Our findings demonstrate that emotion regulation training is more effective than the control condition for cognitive reappraisal and suppression strategies in the training group. Future research should explore additional strategies to further enhance emotion regulation skills, potentially improving job performance and patient care.

ADAR1 Promotes Invasion and Migration and Inhibits Ferroptosis via the FAK/AKT Pathway in Colorectal Cancer

The role of adenosine deaminase acting on RNA1 (ADAR1) in colorectal cancer (CRC) is poorly understood. This study investigated the roles and underlying molecular mechanisms of ADAR1 and its isoforms, explored the correlations between ADAR1 expression and the immune microenvironment and anticancer drug sensitivity, and examined the potential synergy of using ADAR1 expression and clinical parameters to determine the prognosis of CRC patients. CRC samples showed significant upregulation of ADAR1, and high ADAR1 expression was correlated with poor prognosis. Silencing ADAR1 inhibited the proliferation, invasion, and migration of CRC cells and induced ferroptosis by suppressing FAK/AKT activation, and the results of rescue assays were consistent with these mechanisms. Both ADAR1-p110 and ADAR1-p150 were demonstrated to regulate the FAK/AKT pathway, with ADAR1-p110 playing a particularly substantial role. In evaluating the prognosis of CRC patients, combining ADAR1 expression with clinical parameters produced a substantial synergistic effect. The in vivo tumorigenesis of CRC was significantly inhibited by silencing ADAR1. Furthermore, ADAR1 expression was positively correlated with tumor mutational burden (TMB) and microsatellite status (p < 0.05), indicating that ADAR1 plays a complex role in CRC immunotherapy. In conclusion, ADAR1 plays oncogenic roles in CRC both in vitro and in vivo, potentially by inhibiting ferroptosis via downregulation of the FAK/AKT pathway. Thus, ADAR1 serves as a potential prognostic biomarker and a promising target for CRC therapy.

Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques

Gastric cancer represents a significant global health challenge with elevated incidence and mortality rates, highlighting the need for advancements in diagnostic and therapeutic strategies. This review paper addresses the critical need for a thorough synthesis of the role of artificial intelligence (AI) in the management of gastric cancer. It provides an in-depth analysis of current AI applications, focusing on their contributions to early diagnosis, treatment planning, and outcome prediction. The review identifies key gaps and limitations in the existing literature by examining recent studies and technological developments. It aims to clarify the evolution of AI-driven methods and their impact on enhancing diagnostic accuracy, personalizing treatment strategies, and improving patient outcomes. The paper emphasizes the transformative potential of AI in overcoming the challenges associated with gastric cancer management and proposes future research directions to further harness AI's capabilities. Through this synthesis, the review underscores the importance of integrating AI technologies into clinical practice to revolutionize gastric cancer management.

Bioinformatics and systems-biology approach to identify common pathogenic mechanisms for COVID-19 and systemic lupus erythematosus

BACKGROUND

The Coronavirus disease 2019 (COVID-19) pandemic has brought a heavy burden to the world, interestingly, it shares many clinical symptoms with systemic lupus erythematosus (SLE). It is unclear whether there is a similar pathological process between COVID-9 and SLE. In addition, we don't know how to treat SLE patients with COVID-19. In this study, we analyse the potential similar pathogenesis between SLE and COVID-19 and explore their possible drug regimens using bioinformatics and systems biology approaches.

METHODS

The common differentially expressed genes (DEGs) were extracted from the COVID-19 datasets and the SLE datasets for functional enrichment, pathway analysis and candidate drug analysis.

RESULT

Based on the two transcriptome datasets between COVID-19 and SLE, 325 common DEGs were selected. Hub genes were identified by protein-protein interaction (PPI) analysis. few found a variety of similar functional changes between COVID-19 and SLE, which may be related to the pathogenesis of COVID-19. Besides, we explored the related regulatory networks. Then, through drug target matching, we found many candidate drugs for patients with COVID-19 only or COVID-19 combined with SLE.

CONCLUSION

COVID-19 and SLE patients share many common hub genes, related pathways and regulatory networks. Based on these common targets, we found many potential drugs that could be used in treating patient with COVID-19 or COVID-19 combined with SLE.

A network analysis of daily stressors, subjective well-being, psychological distress and psychological capital during the COVID-19 pandemic

BACKGROUND

There is already considerable evidence suggesting the potential existence of a comprehensive system that reflects how individuals utilize psychological capital (PsyCap) to preserve mental health amid daily stressors during the COVID-19 pandemic. To explore the underlying mechanism of this system, the current study is the first to use network analysis showing the dimension-level correlation patterns of daily stressors, subjective well-being (SWB), psychological distress and PsyCap during the pandemic.

METHOD

We recruited 1556 participants in China and assessed daily stressors, SWB, psychological distress, and PsyCap through self-report questionnaires. A dimension-level network analysis was conducted to identify key dimensions and their associations. Relative importance analysis examined the contribution of each PsyCap dimension to SWB and psychological distress.

RESULT

Depression, anxiety and stress demonstrated high strength, and life satisfaction exhibited the highest bridge strength in the network. The great majority dimensions of daily stressors had positive connections with stress and anxiety, while financial restrictions and dissatisfaction with education/occupation had negative connections with life satisfaction. Self-efficacy and optimism were positively connected with life satisfaction. Hope and resilience were negatively connected with stress, as well as hope and optimism were negatively connected with depression. Optimism and self-efficacy made the highest contribution to SWB, while resilience made the highest contribution to psychological distress among PsyCap dimensions.

CONCLUSION

The findings elucidate the intricate relationship between daily stressors, SWB, psychological distress and PsyCap during the pandemic. Targeted interventions focusing on the specific PsyCap dimensions may enhance mental health outcomes in the post-COVID-19 era.

A Prospective and Randomized Control Study on Effects of Thymalfasin for Injection on Perioperative Immune Function and Long-term Prognosis of Patients with Colorectal Cancer

The objective of this study is to explore the effects of thymalfasin for injection on perioperative immune function and long-term prognosis of patients with colorectal cancer (CRC). In total, 400 patients who entered the groups from February 2019 to January 2021 and underwent radical resection of CRC in the Fourth Hospital of Hebei Medical University were the study subjects. They were separated into experimental group (0-199, XELOX chemotherapy and thymalfasin for injection) and control group (200-400, XELOX chemotherapy) by random number table, and the experimental group was randomly divided into conventional-dose group (n = 100, 1.6 mg of thymalfasin for injection, twice a week) and high-dose group (n = 100, 1.6 mg of thymalfasin for injection, thrice a week) according to a ratio of 1:1, to analyze the effects of different treatment schemes on perioperative immune function and long-term prognosis of CRC patients. Compared with control group, the conventional-dose group and high-dose group had notably lower incidences of perioperative infection (P < 0.05), with no significant difference in both groups (P > 0.05). The experimental group had significantly lower overall incidence of early and late postoperative complications, local recurrence rate and the incidence of distant metastasis, and higher perioperative immune function indexes and median disease free survival (DFS) (P < 0.05).         The conventional-dose and high-dose thymalfasin for injection effectively improves the perioperative immune function of CRC patients and reduces the incidence of postoperative complications, as an effective treatment for such patients, which can benefit patients.

Innovation and application of Large Language Models (LLMs) in dentistry - a scoping review

OBJECTIVE

Large Language Models (LLMs) have revolutionized healthcare, yet their integration in dentistry remains underexplored. Therefore, this scoping review aims to systematically evaluate current literature on LLMs in dentistry.

DATA SOURCES

The search covered PubMed, Scopus, IEEE Xplore, and Google Scholar, with studies selected based on predefined criteria. Data were extracted to identify applications, evaluation metrics, prompting strategies, and deployment levels of LLMs in dental practice.

RESULTS

From 4079 records, 17 studies met the inclusion criteria. ChatGPT was the predominant model, mainly used for post-operative patient queries. Likert scale was the most reported evaluation metric, and only two studies employed advanced prompting strategies. Most studies were at level 3 of deployment, indicating practical application but requiring refinement.

CONCLUSION

LLMs showed extensive applicability in dental specialties; however, reliance on ChatGPT necessitates diversified assessments across multiple LLMs. Standardizing reporting practices and employing advanced prompting techniques are crucial for transparency and reproducibility, necessitating continuous efforts to optimize LLM utility and address existing challenges.

PAINe: An Artificial Intelligence-based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin

INTRODUCTION

Pain associated with temporomandibular dysfunction (TMD) is often confused with odontogenic pain, which is a challenge in endodontic diagnosis. Validated screening questionnaires can aid in the identification and differentiation of the source of pain. Therefore, this study aimed to develop a virtual assistant based on artificial intelligence using natural language processing techniques to automate the initial screening of patients with tooth pain.

METHODS

The PAINe chatbot was developed in Python (Python Software Foundation, Beaverton, OR) language using the PyCharm (JetBrains, Prague, Czech Republic) environment and the openai library to integrate the ChatGPT 4 API (OpenAI, San Francisco, CA) and the Streamlit library (Snowflake Inc, San Francisco, CA) for interface construction. The validated TMD Pain Screener questionnaire and 1 question regarding the current pain intensity were integrated into the chatbot to perform the differential diagnosis of TMD in patients with tooth pain. The accuracy of the responses was evaluated in 50 random scenarios to compare the chatbot with the validated questionnaire. The kappa coefficient was calculated to assess the agreement level between the chatbot responses and the validated questionnaire.

RESULTS

The chatbot achieved an accuracy rate of 86% and a substantial level of agreement (κ = 0.70). Most responses were clear and provided adequate information about the diagnosis.

CONCLUSIONS

The implementation of a virtual assistant using natural language processing based on large language models for initial differential diagnosis screening of patients with tooth pain demonstrated substantial agreement between validated questionnaires and the chatbot. This approach emerges as a practical and efficient option for screening these patients.

Development and Validation of a Tool for Assessing Adherence to Gluten-Free Diet in Patients With Celiac Disease

INTRODUCTION

Life-long adherence to gluten-free diet (GFD) and its assessment is essential for patients with celiac disease (CeD). We have developed and validated a tool for assessing adherence to GFD which can be used by both physicians and dietitians.

METHODS

Phase 1: Development, content validation, and assessment of reliability of tool. Phase 2: Validation of tool against standard dietary evaluation (SDE) (gold standard), immunoglobulin A - anti-tissue transglutaminase antibodies (IgA anti-tTG Ab), and gluten immunogenic peptides in urine. Overall, 380 biopsy-confirmed patients with CeD (derivation cohort: n = 100 [phase 1], n = 210 [phase 2] and independent validation cohort, n = 70) were recruited.

RESULTS

Of an initial 90-point questionnaire, 84 items (Celiac Disease: Compliance Assessment Test [CD-CAT.v1]) were retained after content validation and pilot testing. In phase 1, upon administering CD-CAT.v1 on 100 patients, a comprehensive 35-item tool (CD-CAT.v2; α = 0.86) was obtained after removing items with low test-retest reliability and item-rest correlation values. In phase 2, upon administering CD-CAT.v2 on 210 patients, 22 items were removed having low correlation values (R < 0.4) with SDE. Finally, a 13-item tool (CD-CAT.v3; α = 0.84) was obtained with high criterion validity with SDE ( r = 0.806, P < 0.001), moderate convergent validity with celiac disease adherence test ( r = 0.602, P = 0.007), and moderate to weak correlation with urine gluten immunogenic peptides ( r = 0.46, P = 0.001) and IgA anti-tTG Ab ( r = 0.39, P = 0.008), respectively. The final 13-item tool also strongly correlated with SDE ( r = 0.78, P < 0.001) in an independent validation cohort of 70 patients with CeD. Principal component analysis identified 3 relevant subscales with a cumulative variance of 62%. The sensitivity and specificity of CD-CAT.v3 were 80% and 91%, respectively, with an area under curve of 0.905 with SDE. The obtained cutoff score of <19 from the receiver operating characteristic curve was further categorized as 13 = excellent, 14-18 = very good, 19-28 = average, and >28 = poor adherence to GFD.

DISCUSSION

CD-CAT is a new and rapid tool for monitoring dietary adherence to GFD with high sensitivity and specificity, which can be administered by both physicians and dietitians.

The association between psychological reactions, resilience, and work engagement among Palestinian critical care nurses in West Bank

AIM

This study aimed to assess the association between psychological reactions (e.g., stress, anxiety, and depression), resilience, and work engagement among Palestinian critical care nurses in the West Bank and examine the correlation of psychological reactions and resilience with work engagement.

BACKGROUND

Work engagement is associated with psychological reactions and resilience, particularly among critical care nurses. There is a lack of studies on work engagement and these factors in Palestine.

METHODS

A cross-sectional, descriptive correlational design was adopted. A convenience sample consisting of 273 critical care nurses from private and governmental hospitals was recruited to participate. Depression, Anxiety, Stress Scale-21 (DASS-21), Connor-Davidson Resilience Scale-25 (CDRS-25), Utrecht Work Engagement Scale-9 (UWES-9), and demographic data were used to collect data during the period from March 20 to May 20, 2023.

RESULTS

Findings demonstrated that 53.9% of the nurses reported mild-to-moderate levels of depression, 49.8% reported moderate-to-severe levels of anxiety, and 49.1% reported moderate-to-severe levels of stress. Additionally, 57.5% and 52.7% of them had low resilience and work engagement, respectively. Moreover, work engagement negatively correlated with depression (r = -0.796, P < 0.01), anxiety (r = -0.654, P < 0.01), and stress (r = -0.796, P < 0.01), while positively correlated with resilience (r = 0.42, P < 0.01) and gender (r = 0.121, P < 0.05). Depression, anxiety, stress, resilience, and gender were the main predictors of work engagement.

DISCUSSION

The majority of the nurses suffered from depression, anxiety, and stress. Additionally, more than half of the participants had low resilience and work engagement. Moreover, increased depression, anxiety, and stress were correlated with decreased work engagement, while high resilience and gender as being female positively correlated with high work engagement.

CONCLUSION AND IMPLICATIONS FOR NURSING AND HEALTH POLICY

Policymakers and hospital administrators should develop interventions to improve critical care nurses' resilience and minimize psychological reactions, which have a significant influence on work engagement. Future studies should be conducted to examine the effectiveness of these interventions.

Stress level and coping strategies among intensive care nurses: A cross-sectional study

BACKGROUND

Intensive care units (ICUs) are high-stress environments, particularly for nurses, who face numerous stressors that can negatively impact their well-being. This study aimed to examine stress levels and stressors among ICU nurses, investigate their stress coping strategies, and explore the primary stressors in this demanding work environment.

MATERIALS AND METHODS

Employing a cross-sectional design, this study assessed the stress levels of ICU nurses by using the Perceived Stress Scale and their coping strategies through the Brief-COPE scale, from March 15, 2021, to April 14, 2021. In addition, semi-structured interviews were conducted to gain deeper insights into the main stressors. The study also used critical appraisal tools to ensure quality and rigor.

RESULTS

Among 103 participants, moderate stress levels were predominant. The most common coping strategies identified were religious activities, approach coping, humor coping, and avoidant coping. Interviews with three participants revealed two main themes: "It is an overwhelming job" and "Just stay strong." The primary stressors reported were dealing with critically ill patients and nurse shortages, exacerbated by the pandemic crisis.

CONCLUSION

ICU nurses experience moderate stress levels, primarily due to the challenges of working with critically ill patients and facing multiple stressors. The study highlights the need for future research to test the effectiveness of stress management programs and to further investigate common stressors among Saudi ICU nurses. Health policymakers are urged to provide more support to nurses through appropriate education, protection, and compensation, aiming to reduce work-related stressors and enhance their overall well-being.

Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning

BACKGROUND

The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs.

MATERIALS AND METHODS

This study included a total of 483 participants (141 healthy controls and 342 patients with pPNs) from June 2022 and January 2024. Saliva samples were subjected to sequencing of the V3-V4 region of the 16S rRNA gene to assess microbial diversity and differential abundance. Seven advanced machine learning algorithms (logistic regression, support vector machine, multi-layer perceptron, naïve Bayes, random forest, gradient boosting decision tree, and LightGBM) were utilized to evaluate performance and identify key microorganisms, with fivefold cross-validation employed to ensure robustness. The Shapley Additive exPlanations (SHAP) algorithm was employed to explain the contribution of these core microbiotas to the predictive model. Additionally, the PICRUSt2 algorithm was used to predict the microbial functions.

RESULTS

The salivary microbial composition in pPNs group showed significantly lower α- and β-diversity compared to healthy controls. A high-accuracy LightGBM model was developed, identifying six core genera-Fusobacterium, Solobacterium, Actinomyces, Porphyromonas, Atopobium, and Peptostreptococcus-as pPNs biomarkers. Additionally, a visualization pPNs risk prediction system was developed. The immune responses and metabolic activities differences in salivary microbiota between the patients with pPNs and healthy controls were revealed.

CONCLUSIONS

This study highlights the potential clinical applications of the salivary microbiota for enable earlier detection and targeted interventions, offering significant promise for advancing clinical management and improving patient outcomes in pPNs.

Efficacy of COVID-19 Treatments in Intensive Care Unit: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Objectives: Examining the cumulative evidence from randomized controlled trials (RCTs), evaluating the use of pharmacological agents for the treatment of COVID-19 infections in patients with critical illness. Data Sources: Databases Medline, Embase, Web of Science, Scopus, CINAHL, and Cochrane. Study Selection: Inclusion criteria were RCTs that enrolled patients with confirmed or suspected COVID-19 infection who are critically ill. Only RCTs that examined therapeutic agents against one another or no intervention, placebo, or standard of care, were included. Data Extraction: Pairs of reviewers extracted data independently. Outcomes of interest included the overall reported mortality defined as either the ICU mortality, hospital mortality, mortality within 28 days or mortality within 90 days. Data Synthesis: A total of 40 studies (11,613 patients) evaluated 50 therapeutic intervention arms divided into five main therapy categories; steroids, antiviral medications, immunomodulators, plasma therapies [intravenous immunoglobulins (IVIG), convalescent plasma and/or, therapeutic plasma exchange], and therapeutic anticoagulation. Immunomodulators was the only group with possible mortality benefit, risk ratio (RR) 0.83 (95% CI 0.73; 0.95), with nonsignificant heterogeneity (I 2 = 8%, p=0.36). In contrast, the other therapy groups showed no significant impact on mortality, as indicated by their respective pooled RRs: steroids [RR 0.91 (95% CI 0.82; 1.01), I 2 = 31%], antiviral medications [RR 1.11 (95% CI 0.82; 1.49), I 2 = 57%], plasma therapies [RR 0.77 (95% CI 0.58; 1.01), I 2 = 36%], and anticoagulation [RR 1.06 (95% CI 0.95; 1.18), I 2 = 0%]. Conclusions: This meta-analysis highlights both the heterogeneity and a lack of benefit from therapies evaluated during the COVID-19 pandemic. Many of the RCTs were developed based on limited observational data. Future RCTs investigating pharmaceutical interventions in critically ill patients during pandemics need to be designed based on better evidence.

Hemoadsorption: consensus report of the 30th Acute Disease Quality Initiative workgroup

Adsorption-based extracorporeal therapies have been subject to technical developments and clinical application for close to five decades. More recently, new technological developments in membrane and sorbent manipulation have made it possible to deliver more biocompatible extracorporeal adsorption therapies to patients with a variety of conditions. There are several key rationales based on physicochemical principles and clinical considerations that justify the application and investigation of such therapies as evidenced by multiple ex vivo, experimental and clinical observations. Accordingly, unspecific adsorptive extracorporeal therapies have now been applied to the treatment of a wide array of conditions from poisoning to drug overdoses, to inflammatory states and sepsis, and acute or chronic liver and kidney failure. In response to the rapidly expanding knowledge base and increased clinical evidence, we convened an Acute Disease Quality Initiative consensus conference dedicated to such treatment. The data show that hemoadsorption has clinically acceptable short-term biocompatibility and safety, technical feasibility and experimental demonstration of specified target molecule removal. Pilot studies demonstrate potentially beneficial effects on physiology and larger studies of endotoxin-based hemoadsorption have identified possible target phenotypes for larger randomized controlled trials. Moreover, in a variety of endogenous and exogenous intoxications, removal of target molecules has been confirmed in vivo. However, some studies have raised concerns about harm, or failed to deliver benefits. Thus, despite many achievements, modern hemoadsorption remains a novel and experimental intervention with limited data, and a large research agenda.

Comprehensive assessment of COVID-19 case fatality rate and influential factors in Khuzestan Province, Iran: a two-year study

BACKGROUND

The emergence of a new pandemic SARS-CoV-2 (COVID-19) resulted in a high mortality rate across the world. This study sought to comprehensively analyze the Case Fatality Rate (CFR) associated with COVID-19 in the Khuzestan province of Iran". The primary objective was to discern patterns and determinants influencing CFR, shedding light on the evolving impact of the pandemic on morbidity and mortality.

METHODS

A retrospective examination was performed on a dataset encompassing confirmed COVID-19 cases and related fatalities in Khuzestan. Data, spanning from December 2020 to April 2022, underwent rigorous statistical analysis. Demographic variables, comorbidities, and temporal trends were scrutinized to identify key factors influencing CFR.

RESULTS

Preliminary findings revealed dynamic shifts in CFR, capturing the nuanced nature of the pandemic over time. Demographic nuances, particularly age and gender, emerged as significant determinants impacting CFR, the reported CFR of COVID-19 in Khuzestan province was 1.79%.

CONCLUSION

This study contributes critical insights into the CFR landscape of COVID-19 in Khuzestan, providing a foundation for evidence-based decision-making in public health. The identified factors influencing mortality rates offer valuable information for tailoring interventions and optimizing resource allocation. Continuous monitoring and further investigations are recommended to adapt strategies to the evolving nature of the pandemic.

Therapeutic potential of flavonoids from traditional Chinese medicine in pancreatic cancer treatment

Pancreatic cancer (PC) is a highly aggressive malignancy with rising mortality rates globally. Its diagnosis is often challenging due to its asymptomatic nature in the early stages. Consequently, most patients receive a poor prognosis, with low survival rates within 5 years, as the disease is typically detected at an advanced stage, complicating effective treatment. Flavonoids, especially those derived from traditional Chinese herbal medicines, have attracted considerable attention for their potent anti-PC properties. This review highlights the therapeutic potential of these bioactive compounds, which modulate key biological pathways, making them promising candidates for PC intervention. Their mechanisms of action include the regulation of autophagy, apoptosis, cell growth, epithelial-mesenchymal transition, and oxidative stress, as well as enhancing chemotherapeutic sensitivity, exerting antiangiogenic effects, and potentially boosting immunomodulatory responses. The demonstrated benefits of these natural compounds in cancer management have spurred extensive academic interest. Beyond their role as anti-cancer agents, flavonoids may provide both preventive and therapeutic advantages for PC, resonating with the core principles of traditional Chinese medicine for disease prevention and holistic treatment.

Hemoperfusion with the HA330/HA380 Cartridge in Intensive Care Settings: A State-Of-The-Art Review

BACKGROUND

Hemoperfusion with the HA330/HA380 cartridge has markedly evolved during the past decade and has thus been widely used in intensive care settings to treat critical or hyperinflammatory illnesses. Numerous clinical studies have demonstrated that HA330/HA380 hemoperfusion might mitigate systemic inflammatory response syndrome and organ dysfunction in ICU patients by removing inflammatory mediators and metabolic toxins from the blood. However, there is currently lacking a systematic evaluation on the safety and efficacy of HA330/HA380 hemoperfusion in intensive care settings.

SUMMARY

We searched the PubMed database, Chinese Clinical Trial Registry, and ClinicalTrials.gov for articles published from inception to June 20, 2024 (updated on September 10, 2024) to perform a state-of-the-art review of HA330/HA380 hemoperfusion in daily critical care practice. We discuss the basic technique characteristics and ex vivo investigations of the HA330/HA380 cartridge and summarize the latest clinical evidence regarding the use of HA330/HA380 hemoperfusion for the treatment of sepsis, severe COVID-19, cardiac surgery, acute pancreatitis, liver failure, and blunt trauma. Ex vivo studies suggest that the HA330/HA380 cartridge demonstrates satisfactory biocompatibility and substantial adsorption capacity for inflammatory cytokines, such as interleukin-6, interleukin-10, and tumor necrosis factor-α. Small-scale clinical studies indicate that HA330/HA380 hemoperfusion may help reduce plasma levels of inflammatory mediators, alleviate organ dysfunction, and improve survival in some critically ill patients with sepsis, severe COVID-19, acute pancreatitis, and blunt trauma.

KEY MESSAGES

(i) The HA330/HA380 cartridge contains abundant, coated, biocompatible sorbent beads made of styrene-divinylbenzene copolymers. (ii) HA330/HA380 hemoperfusion, with or without combined continuous renal replacement therapy, is a promising treatment option for some critically ill patients by removing proinflammatory mediators and alleviating organ dysfunction. (iii) The HA330/HA380 cartridge may adversely adsorb antibiotics, and appropriate antibiotic dosing adjustment and plasma drug level monitoring is recommended. (iv) There are currently numerous ongoing clinical trials evaluating the safety and efficacy of HA330/HA380 hemoperfusion in critically ill patients who develop sepsis or undergo cardiopulmonary bypass, which will certainly sharpen our future practice of HA330/HA380 hemoperfusion in ICU.

Inflammatory bowel disease: a narrative review of disease evolution in South Asia and India over the last decade

The rapid emergence of inflammatory bowel disease (IBD) in Asia in the last two decades is anticipated to pose significant challenges to the healthcare systems of developing countries including India. Several epidemiological factors in the Asia Pacific region have been explored as risk factors for the development of IBD. In this narrative review, we discuss the evolution of adult-onset and paediatric IBD in South Asia and India, in relation to the current global epidemiology, over the last decade. The focus lies on the changing epidemiological landscape of IBD in Asia which signals a paradigm shift in the disease trajectory of a chronic, relapsing, complex disease. We enumerate the disease burden of IBD in India and Asia, analyse the risk factors for its recent rise in incidence and briefly discuss the unique entity of very early-onset IBD. We also list the locoregional challenges in diagnosis and management along with suggestions to overcome them. We highlight the lacunae in data which warrants further research. The anticipated infrastructural challenges and disease evolution are likely to be similar in most newly industrialized countries across South Asia. A combined effort led by IBD experts in the region to understand the true disease burden is important. A strong collaborative network on research and formulation of preventive strategies relevant to the region will help reduce the burden in the future.

Large language models in periodontology: Assessing their performance in clinically relevant questions

STATEMENT OF PROBLEM

Although the use of artificial intelligence (AI) seems promising and may assist dentists in clinical practice, the consequences of inaccurate or even harmful responses are paramount. Research is required to examine whether large language models (LLMs) can be used in accessing periodontal content reliably.

PURPOSE

The purpose of this study was to evaluate and compare the evidence-based potential of answers provided by 4 LLMs to common clinical questions in the field of periodontology.

MATERIAL AND METHODS

A total of 10 open-ended questions pertinent to periodontology were posed to 4 distinct LLMs: ChatGPT model GPT 4.0, Google Gemini, Google Gemini Advanced, and Microsoft Copilot. The answers to each question were evaluated independently by 2 periodontists against robust scientific evidence based on a predefined rubric assessing the comprehensiveness, scientific accuracy, clarity, and relevance. Each response received a score ranging from 0 (minimum) to 10 (maximum). After a period of 2 weeks from initial evaluation, the answers were re-graded independently to gauge intra-evaluator reliability. Inter-evaluator reliability was assessed using correlation tests, while Cronbach alpha and interclass correlation coefficient were used to measure overall reliability. The Kruskal-Wallis test was employed to compare the scores given by different LLMs.

RESULTS

The scores provided by the 2 evaluators for both evaluations were statistically similar (P values ranging from .083 to >;.999), therefore an average score was calculated for each LLM. Both evaluators gave the highest scores to the answers generated by ChatGPT 4.0, while Google Gemini had the lowest scores. ChatGPT 4.0 received the highest average score, while significant differences were detected between ChatGPT 4.0 and Google Gemini (P=.042). ChatGPT 4.0 answers were found to be highly comprehensive, with scientific accuracy, clarity, and relevance.

CONCLUSIONS

Professionals need to be aware of the limitations of LLMs when utilizing them. These models must not replace dental professionals as improper use may negatively impact patient care. Chat GPT 4.0, Google Gemini, Google Gemini Advanced, and Microsoft CoPilot performed relatively well with Chat GPT 4.0 demonstrating the highest performance.

Defective regression models for cure rate data with competing risks

In this paper, we propose a novel method for the analysis of cure rate data with competing risks using defective distributions. We develop two defective regression models for the analysis of competing risk data subjected to random right censoring. The proposed models enable us to estimate the cure fraction directly from the model. Simultaneously, we also estimate the regression parameters corresponding to each cause of failure using the method of maximum likelihood. We conduct a simulation study to evaluate the finite sample performance of the proposed estimators. The practical usefulness of the procedures is illustrated using two real-life data sets.

Development and validation of a dynamic nomogram for individualized prediction of survival in patients with colon cancer

Current tools for predicting survival outcomes in colon cancer patients predominantly rely on clinical and pathologic characteristics. However, accumulating evidence demonstrates a significant correlation between nutritional status and patient outcomes. This study aimed to establish a new dynamic nomogram for individualized prediction of postoperative overall survival (OS). The clinicopathological and nutritional data of colon cancer patients undergoing radical resection were retrospectively collected and randomly divided into the primary and validation cohorts. Risk factors on OS rates were investigated by Cox analyses and, the nomogram was constructed using significant predictors. Among 1,024 patients, 341 deaths were observed after median follow-up of 54 months. Five independent prognostic factors, including nutritional status assessments, were incorporated into the nomogram. The C-index regarding 1-, 3-, and 5-year OS were 0.830, 0.859, and 0.757 in the primary cohort and 0.843, 0.870, and 0.773 in the validation cohort, respectively. Calibration curves for the probability of OS exhibited an optimal agreement. Decision curve analyses revealed the greater application value of the nomogram than the TNM staging system. Based on the nomogram, patients could be stratified into three scenarios with significant prognostic classification (P < 0.0001). In conclusion, we developed and validated an easy-to-use dynamic nomogram for predicting postoperative OS in colon cancer patients.

Associations Between Preoperative Inflammatory Indices and Residual or Recurrent Cervical Intraepithelial Neoplasia Post Loop Electrosurgical Excision Procedure

Background

High-grade cervical intraepithelial neoplasia (CIN2/3) is a precursor to invasive cervical cancer, necessitating effective management. While the Loop Electrosurgical Excision Procedure (LEEP) is a successful treatment, recurrence remains a significant concern. This study evaluates the predictive value of preoperative immune-inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII), in assessing the risk of residual or recurrent CIN post-LEEP.

Methods

A retrospective analysis was performed on 423 women who underwent LEEP for CIN2/3 at Cangzhou Central Hospital between 2016 and 2020. Cox proportional hazards regression models with restricted cubic splines were used to evaluate linear and non-linear associations between immune-inflammatory indices and recurrence risk. Multivariate models were adjusted for confounding factors, and subgroup analyses were conducted to test the robustness of the associations. Threshold non-linear fitting and saturation effect analyses were also performed to identify inflection points influencing residual or recurrent disease risk.

Results

Significant differences in age, menopausal status, TCT results, HPV status, degrees of CIN and margin status were observed between recurrence and non-recurrence groups. NLR demonstrated a U-shaped relationship with recurrence risk, with a threshold effect. NLR values below 3.15 were associated with a reduced recurrence risk, while higher values increased the risk. PLR and SII showed a modest protective effect below their respective thresholds.

Conclusion

Systemic inflammation plays a key role in CIN recurrence following LEEP. NLR serves as a valuable prognostic marker, highlighting the potential for personalised follow-up strategies. Further research is needed to confirm these findings and elucidate the underlying mechanisms.

Antioxidant Therapy in Inflammatory Bowel Diseases: How Far Have We Come and How Close Are We?

Inflammatory bowel diseases (IBD) pose a growing public health challenge with unclear etiology and limited efficacy of traditional pharmacological treatments. Alternative therapies, particularly antioxidants, have gained scientific interest. This systematic review analyzed studies from MEDLINE, Cochrane, Web of Science, EMBASE, and Scopus using keywords like "Inflammatory Bowel Diseases" and "Antioxidants." Initially, 925 publications were identified, and after applying inclusion/exclusion criteria-covering studies from July 2015 to June 2024 using murine models or clinical trials in humans and evaluating natural or synthetic substances affecting oxidative stress markers-368 articles were included. This comprised 344 animal studies and 24 human studies. The most investigated antioxidants were polyphenols and active compounds from medicinal plants (n = 242; 70.3%). The review found a strong link between oxidative stress and inflammation in IBD, especially in studies on nuclear factor kappa B and nuclear factor erythroid 2-related factor 2 pathways. However, it remains unclear whether inflammation or oxidative stress occurs first in IBD. Lipid peroxidation was the most studied oxidative damage, followed by DNA damage. Protein damage was rarely investigated. The relationship between antioxidants and the gut microbiota was examined in 103 animal studies. Human studies evaluating oxidative stress markers were scarce, reflecting a major research gap in IBD treatment. PROSPERO registration: CDR42022335357 and CRD42022304540.

Global Disparities of Cancer and Its Projected Burden in 2050

IMPORTANCE

Cancer prevention and care efforts have been challenged by the COVID-19 pandemic and armed conflicts, resulting in a decline in the global Human Development Index (HDI), particularly in low- and middle-income countries. These challenges and subsequent shifts in health care priorities underscore the need to continuously monitor cancer outcome disparities and statistics globally to ensure delivery of equitable and optimal cancer prevention and care in uncertain times.

OBJECTIVE

To measure the global burden of 36 cancers in 2022 by sex, age, and geographic location and to project future trends by 2050.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used population-based data from 2022 in 185 countries and territories were obtained from the Global Cancer Observatory database. Data extraction and analysis were carried out in April 2024.

MAIN OUTCOMES AND MEASURES

Counts, rates, prevalence, mortality to incidence ratios (MIRs), and demography-based projections were used to characterize current and future cancer burden.

RESULTS

This population-based study included 36 cancer types from 185 countries and territories. By 2050, 35.3 million cancer cases worldwide are expected, a 76.6% increase from the 2022 estimate of 20 million. Similarly, 18.5 million cancer deaths are projected by 2050, an 89.7% increase from the 2022 estimate of 9.7 million. Cancer cases and deaths are projected to nearly triple in low-HDI countries by 2050, compared to a moderate increase in very high-HDI countries (142.1% vs 41.7% for cancer cases and 146.1% vs 56.8% for cancer deaths). Males had a higher incidence and greater number of deaths in 2022 than females, with this disparity projected to widen by up to 16.0% in 2050. In 2022, the MIR for all cancers was 46.6%, with higher MIRs observed for pancreatic cancer (89.4%), among males (51.7%), among those aged 75 years or older (64.3%), in low-HDI countries (69.9%), and in the African region (67.2%).

CONCLUSIONS AND RELEVANCE

In this cross-sectional study based on data from 2022, cancer disparities were evident across HDI, geographic regions, age, and sex, with further widening projected by 2050. These findings suggest that strengthening access to and quality of health care, including universal health insurance coverage, is key to providing evidence-based cancer prevention, diagnostics, and care.

Establishment and Validation of a Prognostic Nomogram for Predicting Postoperative Overall Survival in Advanced Stage III-IV Colorectal Cancer Patients

BACKGROUND

Most colorectal cancer (CRC) patients are at an advanced stage when they are first diagnosed. Risk factors for predicting overall survival (OS) in advanced stage CRC patients are crucial, and constructing a prognostic nomogram model is a scientific method for survival analysis.

METHODS

A total of 2956 advanced stage CRC patients were randomised into training and validation groups at a 7:3 ratio. Univariate and multivariate Cox proportional hazards regression analyses were used to screen risk factors for OS and subsequently construct a prognostic nomogram model for predicting 1-, 3-, 5-, 8- and 10-year OS of advanced stage CRC patients. The performance of the model was demonstrated by the area under the curve (AUC) values, calibration curves and decision curve analysis (DCA). Kaplan-Meier curves were used to plot the survival probabilities for different strata of each risk factor.

RESULTS

There was no statistically significant difference (p > 0.05) in the 32 clinical variables between patients in the training and validation groups. Univariate and multivariate Cox proportional hazards regression analyses demonstrated that age, location, TNM, chemotherapy, liver metastasis, lung metastasis, MSH6, CEA, CA199, CA125 and CA724 were risk factors for OS. We estimated the AUC values for the nomogram model to predict 1-, 3-, 5-, 8- and 10-year OS, which in the training group were 0.826 (95% CI: 0.807-0.845), 0.836 (0.819-0.853), 0.839 (0.820-0.859), 0.835 (0.809-0.862) and 0.825 (0.779-0.870) respectively; in the validation group, the corresponding AUC values were 0.819 (0.786-0.852), 0.831 (0.804-0.858), 0.830 (0.799-0.861), 0.815 (0.774-0.857) and 0.802 (0.723-0.882) respectively. Finally, the 1-, 3-, 5-, 8- and 10-year OS rates for advanced stage CRC patients were 73.4 (71.8-75.0), 49.5 (47.8-51.4), 43.3 (41.5-45.2), 40.1 (38.1-41.9) and 38.6 (36.6-40.8) respectively.

CONCLUSION

We constructed and validated an original nomogram for predicting the postoperative OS of advanced stage CRC patients, which can help facilitates physicians to accurately assess the individual survival of postoperative patients and identify high-risk patients.

Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks

The integration of artificial intelligence (AI) in healthcare has seen significant advancements, particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry, stands to benefit immensely from AI applications, especially in interpreting radiographic images. However, there is a knowledge gap among endodontists regarding the fundamentals of machine learning and deep learning, hindering the full utilization of AI in this field. This narrative review aims to: (A) elaborate on the basic principles of machine learning and deep learning and present the basics of neural network architectures; (B) explain the workflow for developing AI solutions, from data collection through clinical integration; (C) discuss specific AI tasks and applications relevant to endodontic diagnosis and treatment. The article shows that AI offers diverse practical applications in endodontics. Computer vision methods help analyse images while natural language processing extracts insights from text. With robust validation, these techniques can enhance diagnosis, treatment planning, education, and patient care. In conclusion, AI holds significant potential to benefit endodontic research, practice, and education. Successful integration requires an evolving partnership between clinicians, computer scientists, and industry.

Artificial intelligence in endodontics: Data preparation, clinical applications, ethical considerations, limitations, and future directions

Artificial intelligence (AI) is emerging as a transformative technology in healthcare, including endodontics. A gap in knowledge exists in understanding AI's applications and limitations among endodontic experts. This comprehensive review aims to (A) elaborate on technical and ethical aspects of using data to implement AI models in endodontics; (B) elaborate on evaluation metrics; (C) review the current applications of AI in endodontics; and (D) review the limitations and barriers to real-world implementation of AI in the field of endodontics and its future potentials/directions. The article shows that AI techniques have been applied in endodontics for critical tasks such as detection of radiolucent lesions, analysis of root canal morphology, prediction of treatment outcome and post-operative pain and more. Deep learning models like convolutional neural networks demonstrate high accuracy in these applications. However, challenges remain regarding model interpretability, generalizability, and adoption into clinical practice. When thoughtfully implemented, AI has great potential to aid with diagnostics, treatment planning, clinical interventions, and education in the field of endodontics. However, concerted efforts are still needed to address limitations and to facilitate integration into clinical workflows.

Detecting Dirofilaria immitis: Current Practices and Novel Diagnostic Methods

The nematode Dirofilaria immitis is responsible for a vector-borne disease affecting canines and humans worldwide, known as cardiopulmonary dirofilariasis. An accurate and early diagnosis is of the utmost importance for effective disease management. While traditional microscopy-based methods remain invaluable, they have inherent limitations. Serological tests, in particular ELISA and immunochromatographic tests, are employed due to their capacity to detect D. immitis antigens, offering ease of use and diagnostic accuracy. The advent of molecular methods has the potential to enhance routine diagnostic approaches, with polymerase chain reaction (PCR) and real-time PCR (qPCR) becoming the most prevalent techniques. Despite not yet being integrated into routine diagnostics, which are predominantly based on the Knott's test and serological methods, these techniques offer significant benefits in the context of scientific research. This article proceeds to examine the potential of advanced techniques, such as high-resolution melting qPCR (HRM-qPCR), loop-mediated isothermal amplification (LAMP), droplet digital PCR (ddPCR), and microRNA (miRNA) detection, which are capable of enhanced sensitivity and early detection. The following work provides an in-depth analysis of the various diagnostic methods, emphasising the necessity of the continuous improvement and adaptation of these tools to effectively combat D. immitis. The findings underscore the importance of integrating these advanced methods into routine practice to improve detection rates and outcomes for infected animals.

Comparative study of lidocaine- saline versus saline as washout for lumpectomy cavity on acute postoperative pain

Purpose

This study aimed to evaluate the impact of lidocaine-saline solution compared to saline alone for washing out the lumpectomy cavity, focusing on its effect on acute postoperative pain-a prevalent and significant concern among patients undergoing breast surgery.

Methods

In this comparative study, 72 patients scheduled for lumpectomy surgery were randomly assigned to either the lidocaine-saline or saline group. The lidocaine-saline group was administered a washout of the lumpectomy cavity with 2 % lidocaine at a dosage of 1.75 mg/kg in 0.9 % normal saline, whereas the saline group received a washout with an equivalent volume of 0.9 % normal saline. We recorded the participants' basic characteristics, heart rate, blood pressure, the incidence and intensity of pain (measured by the visual analogue scale), and the usage of postoperative analgesics.

Results

The two study groups did not differ significantly in their basic characteristics, heart rate and blood pressure. The saline group had significantly higher pain intensity than the lidocaine-saline group at 30 min after surgery (4.61 vs. 2.88, P < 0.0001) and at all other time points (P < 0.001). The saline group also took the first dose of analgesics earlier than the lidocaine-saline (46.66 Vs. 170.55 min, P < 0.001) and used a significantly higher mean dose of meperidine (77.50 mg vs 33.47 mg, P < 0.001).

Conclusion

The use of a lidocaine-saline wash during lumpectomy procedures can significantly reduce postoperative pain and lower the necessity for analgesics in patients who have undergone breast surgery.

The rs2275738 variant of the adiponectin receptor 1 gene is associated with biopsy-proven nonalcoholic fatty liver disease

Aim: Nonalcoholic fatty liver disease (NAFLD) is a significant health issue worldwide. This study investigated the effect of the adiponectin receptor 1 gene (ADIPOR1) polymorphism on susceptibility to NAFLD.Methods: Data from 330 participants, including 165 biopsy-proven NAFLD patients and 165 healthy controls, were collected. The PCR-RFLP method was used to detect the genotypes of ADIPOR1 rs2275738 or T-106C variant.Results: The "CC" genotype of the ADIPOR1 rs2275738 polymorphism, compared with the "TT" genotype and the "C" allele, compared with the "T" allele, are markers of increased NAFLD susceptibility (p = 0.018; OR = 2.07, 95% CI = 1.43-2.01 and p = 0.041; OR = 1.52, 95% CI = 1.24-2.35, respectively).Conclusion: This research suggests, for the first time, that the ADIPOR1 rs2275738 "CC" genotype is associated with a 107% increased risk for biopsy-proven NAFLD.

Prevalence of burnout syndrome among anesthesiologists, anesthesia technicians, and intensive care unit nurses in Palestinian hospitals: a cross-sectional study

BACKGROUND

Burnout syndrome is marked by three primary domains: emotional exhaustion, depersonalization, and low personal accomplishment. This study assessed the prevalence of burnout syndrome among anesthesiologists, anesthesia technicians, and intensive care unit (ICU) nurses in Palestinian hospitals. In addition, this study also sought to assess associations and identify the factors that can predict higher burnout among anesthesiologists, anesthesia technicians, and ICU nurses.

METHODS

This study was conducted in a cross-sectional design using a questionnaire between October 2023 and December 2023. The questionnaire collected the demographic variables of the healthcare providers, their living conditions, lifestyle, working conditions, job satisfaction, and intention to change the profession. The healthcare providers were included from 12 different hospitals. Burnout syndrome was assessed using the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS-MP).

RESULTS

A total of 250 healthcare providers were invited to participate in this study, of those, 212 completed the questionnaire, giving a response rate of 84.8%. Of the healthcare providers, 72 (34.0%) were anesthesiologists, 41 (19.3%) were anesthesia technicians, and 99 (46.7%) were ICU nurses. Of all healthcare providers, 151 (71.2%) reported emotional exhaustion, 125 (59%) reported depersonalization and 145 (68.4%) reported a lack of personal achievement based on the MBI-HSS-MP criteria for burnout. Multiple linear regression showed that higher emotional exhaustion scores could be predicted by the number of working hours per day (p-value = 0.039) and higher depersonalization scores could be predicted by having children (p-value = 0.001). On the other hand, lower personal achievement scores could be predicted by having children (p-value = 0.006), not owning a car (p-value = 0.036), and having more night shifts (p-value = 0.049).

CONCLUSIONS

The findings of this study indicated that burnout syndrome was prevalent among anesthesiologists, anesthesia technicians, and ICU nurses in Palestinian hospitals. Healthcare authorities and professional bodies should consider designing interventions to reduce burnout and improve the psychological well-being of anesthesiologists, anesthesia technicians, and ICU nurses. Further studies are required to identify the most effective interventions for reducing burnout among anesthesiologists, anesthesia technicians, and ICU nurses in Palestine.

Cardiometabolic risk factor clusters in older adults using latent class analysis on the Bushehr elderly health program

Metabolic syndrome (MetS), comprising obesity, insulin resistance, hypertension, and dyslipidemia, increases the risk of type II diabetes mellitus and cardiovascular disease. This study aimed to identify the prevalence and determinants of specific clusters of the MetS components and tobacco consumption among older adults in Iran. The current study was conducted in the second stage of the Bushehr Elderly Health (BEH) program in southern Iran-a population-based cohort including 2424 subjects aged ≥ 60 years. Latent class analysis (LCA) was used to identify MetS and tobacco consumption patterns. Multinomial logistic regression was conducted to investigate factors associated with each MetS class, including sociodemographic and behavioral variables. Out of 2424 individuals, the overall percentage of people with one or more components of MetS or current tobacco use was 57.8% and 20.8%, respectively. The mean (SD) age of all participants was 69.3(6.4) years. LCA ascertained the presence of four latent classes: class 1 ("low risk"; with a prevalence of 35.3%), class 2 ("MetS with medication-controlled diabetes"; 11.1%), class 3 ("high risk of MetS and associated medication use"; 27.1%), and class 4 ("central obesity and treated hypertension"; 26.4%). Compared to participants with a body mass index (BMI) < 30, participants with BMI ≥ 30 were more likely to belong to class 3 (OR 1.91, 95% CI 1.31-2.79) and class 4 (OR 1.49, 95% CI 1.06-2.08). Polypharmacy was associated with membership in class 2 (OR 2.07, 95% CI 1.12-3.81), class 3 (OR 9.77, 95% CI 6.12-15.59), and class 4 (OR 1.76, 95% CI 1.07-2.91). The elevated triglyceride-glucose index was associated with membership in class 2 (OR 12.33, 95% CI 7.75-19.61) and class 3 (OR 12.04, 95% CI 8.31-17.45). Individuals with poor self-related health were more likely to belong to class 3 (OR 1.43; 95% CI 1.08-1.93). Four classes were identified among older adults in Iran with distinct patterns of cardiometabolic risk factors. Segmenting elderly individuals into these cardiometabolic categories has the potential to enhance the monitoring and management of cardiometabolic risk factors. This strategy may help reduce the severe outcomes of metabolic syndrome in this susceptible population.

From Pain to Progress: Comprehensive Analysis of Musculoskeletal Disorders Worldwide

Objective

Comprehensive analyses of the burden of musculoskeletal disorders (MSDs) are crucial for deepening our understanding of their impact on population health and for evaluating progress toward achieving international health goals.

Study Design

A comprehensive analysis was performed using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021.

Methods

We gathered data on the number of prevalent cases, incidences, deaths, and disability-adjusted life years (DALYs) for MSDs from 1990 to 2021. Subsequently, crude indicators, age-standardized rates (ASRs) and estimated annual percentage change (EAPC) were calculated for MSDs from 1990 to 2021 at the global, regional, national, age and gender levels. Finally, decomposition analysis, frontier analysis, and EAPC cluster analysis were employed to examine changes in the indicators and the factors influencing them.

Results

In 2021, there were 367,193,430 incident cases and 1,686,561,517 prevalent cases of MSDs globally. Between 1990 and 2021, the age-standardized incidence rates (ASIR) declined marginally from 4641.5 to 4351.79 cases per 100,000 population [EAPC: -0.16 (-0.19 to -0.13)], while the age-standardized DALY rates (ASDR) increased from 1886.2 to 1908.87 per 100,000 population [EAPC: 0.09 (0.07 to 0.11)]. The ASRs were markedly elevated in the high SDI regions in comparison to the remaining SDI regions. The EAPC and its phase clustering analyses indicated a notable upward trajectory in the burden of MSDs in the low and middle SDI regions, particularly in Central Asia. The prevalence of MSDs is highest among individuals aged 50-59 years and among women. At the global level, the burden of MSDs is 1.43 to 2.30 times higher for women than for men.

Conclusion

From 1990 to 2021, the burden of MSDs has been concentrated in high SDI regions, with a gradual shift towards low and middle SDI regions.

One-year mortality and associated factors in older hospitalized COVID-19 survivors: a Nationwide Cohort Study in Korea

This study aimed to evaluate the 1-year mortality rate among older patients with COVID-19 discharged from hospital and to identify risk factors associated with this outcome. Using a COVID-19 dataset from the Korean National Health Insurance System, this study's evaluation period spanned from October 8, 2020, through December 31, 2021. The primary outcome was the 1-year mortality rate following hospital discharge. A logistic regression model was employed for multivariable analysis to estimate the odds ratios for the outcomes, and the Kaplan-Meier method was used to analyze differences in 1-year survival rates. Among the 66,810 COVID-19 patients aged 60 years or older who were hospitalized during the study period, the in-hospital mortality rate was 4.8% (n = 3219). Among the survivors (n = 63,369), the 1-year mortality rate was 4.9% (n = 3093). Non-survivors, compared to survivors, were significantly older (79.2 ± 9.5 vs. 68.9 ± 7.8, P < 0.001) and exhibited a lower rate of COVID-19 vaccination (63.0% vs. 91.7%, P < 0.001). Additionally, non-survivors experienced a higher incidence of organ dysfunction, along with a greater proportion of required mechanical ventilation (14.6% vs. 1.0%, P < 0.001) and extracorporeal membrane oxygenation (4.0% vs. 0.1%, P < 0.001). Multivariable logistic regression analysis identified older age, male sex, cardiovascular disease, immunosuppression, organ dysfunction, illness severity, and corticosteroid use during hospitalization as factors associated with death within 1 year after hospital discharge. However, vaccination was found to have a long-term protective effect against death among COVID-19 survivors. The 1-year mortality rate after hospital discharge for older COVID-19 patients was comparable to the in-hospital mortality rate for these patients in Korea. The long-term mortality rate among hospitalized older COVID-19 patients was influenced by demographic factors and the severity of illness experienced during hospitalization.

Lifestyle, dietary pattern and colorectal cancer: a case-control study

BACKGROUND

In Iran, not only the incidence of colorectal cancer (CRC) is increasing but also the age of patients at diagnosis is alarmingly dropping. We need urgent actions to better understand the epidemiology of CRC and the contributing factors for such pattern in Iranian population. The aim of our study was to determine the potential contribution of lifestyle, including dietary pattern, to CRC in a large Iranian province.

METHODS

A hospital based case-control study was performed on 572 participants (275 cases and 297 controls). Patients in the case group were newly diagnosed with CRC in a referral hospital and patients in the control group were selected from those patients with non-malignancy diseases who were admitted to the same hospital. Control group was frequency matched to the case group for gender and age.

RESULTS

Based on the results of multivariable logistic regression analysis, direct associations were observed between usual pattern of defecation (OR> 3rd /every day =4.74, 95% CI: 1.78-12.59), chicken consumption (ORsometimes or always/occasionally = 6.33, 95% CI:3.23-12.43), family history of CRC (ORyes/no =5.79, 95% CI: 2.72-12.31), and alcohol consumption (ORyes/no =6.03, 95% CI: 2.14-16.98) with the odds of CRC among the study population. On the other hand, taking multivitamins (ORyes/no=0.09, 95% CI:0.04-0.20), consumption of coffee (ORalways/occasionally =0.29, 95% CI: 0.12-0.69), taking vitamins D supplement (ORyes/no =0.38,95% CI:0.22-0.66), and consumption of garlic (ORsometimes/occasionally =0.53,95% CI: 0.30-0.95) significantly reduced the odds of CRC.

CONCLUSIONS

We revealed potentially significant effects of several lifestyle related factors with CRC risk in Iranian population. More studies are required to understand the mechanism of action of the associated factors in developing CRC.