Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

Prevalence of nonalcoholic fatty liver disease in patients with hepatitis B: A meta-analysis

BACKGROUND

The prevalence of nonalcoholic fatty liver disease (NAFLD) in patients with chronic hepatitis B (CHB) has increased in recent clinical practice; however, the relationship between CHB and hepatic steatosis (HS) remains controversial.

AIM

To shed light on the potential association between NAFLD and hepatitis B virus (HBV) infection.

METHODS

We conducted a systematic literature search using multiple databases, including PubMed, the Cochrane Library, Web of Science, and EMBASE, to identify relevant studies. Predefined inclusion criteria were used to determine the eligibility of the studies for further analysis.

RESULTS

Comprehensive meta-analysis software was used for statistical analysis, which covered 20 studies. The results indicated a lower NAFLD susceptibility in HBV-infected individuals (pooled OR = 0.87; 95%CI = 0.69-1.08; I² = 91.1%), with diabetes (P = 0.015), body mass index (BMI; P = 0.010), and possibly age (P = 0.061) as heterogeneity sources. Of note, in four studies (6197 HBV patients), HBV-infected individuals had a reduced NAFLD risk (OR = 0.68, 95%CI = 0.51-0.89, P = 0.006). A positive link between hyperlipidemia and metabolic syndrome emerged in hepatitis B patients, along with specific biochemical indicators, including BMI, creatinine, uric acid, fasting blood glucose, and homeostasis model assessment of insulin resistance.

CONCLUSION

HBV infection may provide protection against HS; however, the occurrence of HS in patients with HBV infection is associated with metabolic syndrome and specific biochemical parameters.

Computational Pulsatile Flow and Efficiency Analysis of Biocompatible Microfluidic Artificial Lungs for Different Fiber Configurations

Average-sized microfluidic artificial lungs consisting of rows and columns of fiber bundles with different column to row aspect ratios (AR) are numerically analyzed for flow characteristics, maximum gas transfer performance, minimum pressure drop, and proper wall shear stress (WSS) values in terms of biocompatibility. The flow is fully laminar and assumed to be incompressible and Newtonian. The transport analysis is performed using a combined convection-diffusion model, and the numerical simulations are carried out with the finite element method. The inlet volumetric flow is modeled as a sinusoidal wave function to simulate the cardiac cycle and its effect on the device performance. The model is first validated with experimental studies in steady-state condition and compared with existing correlations for transient conditions. Then, the validated model is used for a parametric study in both steady and pulsatile flow conditions. The results show that increasing the aspect ratio in fiber configuration leads to converging gas transfer, higher pressure drop, and higher WSS. While determining the optimum configuration, the acceptable shear stress levels play a decisive role to ensure biocompatibility. Also, it is observed that the steady analysis underestimates the gas transfer for higher aspect ratios.

Participant Evaluation of a Multi-disciplinary Oncology Preceptorship Training Program for Oncology Health Professionals from Kumasi, Ghana

A critical shortage of skilled healthcare workers is a primary cause of disparate global cancer outcomes. We report participant evaluation of a multidisciplinary preceptorship program. In collaboration with the city of Kumasi, Ghana, Mayo Clinic and the City Cancer Challenge hosted a preceptorship program for comprehensive multidisciplinary breast and cervix cancer training. A total of 14 healthcare workers from Kumasi received two weeks of training at Mayo Clinic in November and December 2021. Each participant and preceptor were requested to complete an anonymous post-participation survey. Of the 14 trainee participants, 10 (71%) completed the survey. All respondents found the program "valuable and applicable to their clinical practice." Ninety percent reported they were able to "review effective and critical elements in the development and expansion of the multidisciplinary team" and able to "solve practical clinical cases as a team". General themes of satisfaction included: (1) organization and administration, (2) clinical observations and demonstrations, (3) guidelines development, and (4) recognizing the central importance of cultivating a team-based approach. Of the 40 preceptors, 16 (40%) completed the survey. All respondents reported they felt the training would meaningfully "influence patient care in Ghana", that participation "added value or joy to their clinical practice," and all wished to "participate in future preceptorship programs". After a focused two-week program, trainees reported high satisfaction, usefulness from observing specialized cancer care, and value in closely observing a multidisciplinary oncology team. Preceptors reported the experience added joy and perspective to their clinical practice and wished to participate in future programs.

O blood type is not associated with worse coagulopathy or outcome in exsanguinating trauma

BACKGROUND

Despite improving understanding of trauma-induced coagulopathy (TIC), mortality and morbidity due to exsanguinating trauma remain high. Increased complications due to hemorrhage have been reported in blood group O, possibly due to reduced levels of von Willebrand factor (vWF).

METHODS

An urban level 1 adult trauma center registry was retrospectively queried. Patients receiving ≥6 units of pRBC within 4 ​h of presentation were included. Patient demographics, admission labs and outcomes were obtained. Univariate and multiple logistic regression analyses were performed.

RESULTS

562 patients were identified. There were no significant differences in demographics, admission labs, or outcome between different ABO groups. After adjustment, Type A patients were more likely to be hypocoagulable compared to Type O patients (p ​= ​0.014). No mortality differences were seen between ABO types in multiple regression analysis.

CONCLUSIONS

No outcome or mortality differences were seen between ABO types, therefore factors other than vWF expression should be considered to explain coagulopathy in trauma patients.

Streak artefact removal in x-ray dark-field computed tomography using a convolutional neural network

BACKGROUND

Computed tomography (CT) relies on the attenuation of x-rays, and is, hence, of limited use for weakly attenuating organs of the body, such as the lung. X-ray dark-field (DF) imaging is a recently developed technology that utilizes x-ray optical gratings to enable small-angle scattering as an alternative contrast mechanism. The DF signal provides structural information about the micromorphology of an object, complementary to the conventional attenuation signal. A first human-scale x-ray DF CT has been developed by our group. Despite specialized processing algorithms, reconstructed images remain affected by streaking artifacts, which often hinder image interpretation. In recent years, convolutional neural networks have gained popularity in the field of CT reconstruction, amongst others for streak artefact removal.

PURPOSE

Reducing streak artifacts is essential for the optimization of image quality in DF CT, and artefact free images are a prerequisite for potential future clinical application. The purpose of this paper is to demonstrate the feasibility of CNN post-processing for artefact reduction in x-ray DF CT and how multi-rotation scans can serve as a pathway for training data.

METHODS

We employed a supervised deep-learning approach using a three-dimensional dual-frame UNet in order to remove streak artifacts. Required training data were obtained from the experimental x-ray DF CT prototype at our institute. Two different operating modes were used to generate input and corresponding ground truth data sets. Clinically relevant scans at dose-compatible radiation levels were used as input data, and extended scans with substantially fewer artifacts were used as ground truth data. The latter is neither dose-, nor time-compatible and, therefore, unfeasible for clinical imaging of patients.

RESULTS

The trained CNN was able to greatly reduce streak artifacts in DF CT images. The network was tested against images with entirely different, previously unseen image characteristics. In all cases, CNN processing substantially increased the image quality, which was quantitatively confirmed by increased image quality metrics. Fine details are preserved during processing, despite the output images appearing smoother than the ground truth images.

CONCLUSIONS

Our results showcase the potential of a neural network to reduce streak artifacts in x-ray DF CT. The image quality is successfully enhanced in dose-compatible x-ray DF CT, which plays an essential role for the adoption of x-ray DF CT into modern clinical radiology.

Comparative analysis of lysophospholipid metabolism profiles and clinical characteristics in patients with high vs. low C-reactive protein levels in acute exacerbations of chronic obstructive pulmonary disease

BACKGROUND

The precise role of lysophospholipids (LysoPLs) in the pathogenesis of acute exacerbations of Chronic Obstructive Pulmonary Disease (AECOPD) remains unclear. In this study, we sought to elucidate the differences in serum LysoPL metabolite profiles and their correlation with clinical features between patients with low versus high CRP levels.

METHODS

A total of 58 patients with AECOPD were enrolled in the study. Patients were classified into two groups: low CRP group (CRP < 20 mg/L, n = 34) and high CRP group (CRP ≥ 20 mg/L, n = 24). Clinical data were collected, and the LysoPL metabolite profiles were analyzed using Liquid Chromatography-Mass Spectrometry (LC-MS) and identified by matching with the LipidBlast library.

RESULTS

Nineteen differential LysoPLs were initially identified through Student's t-test (p < 0.05 and VIP > 1). Subsequently, four LysoPLs, LPC(16:0), LPE(18:2), LPC(22:0), and LPC(24:0), were identified by FDR adjustment (adjusted p < 0.05). These four lysoPLs had a significant negative correlation with CRP. Integrative analysis revealed that LPC (16:0) and LPC (22:0) correlated with less hypercapnic respiratory failure and ICU admission.

CONCLUSION

AECOPD patients with high CRP levels demonstrated a distinctive LysoPL metabolism profile, with LPC (16:0), LPE(18:2), LPC(22:0), and LPC(24:0) being the most significantly altered lipid molecules. These alterations were associated with poorer clinical outcomes.

Factors associated with neonatal sepsis among neonates admitted in Kibungo Referral Hospital, Rwanda

More than one million neonatal deaths occur every year worldwide, of which 99% take place in low-income countries. In Rwanda, nearly 71% of neonatal deaths are preventable and among these, 10% are due to neonatal sepsis. Nevertheless, limited information exists on neonatal sepsis and its associated factors in Rwanda. The objectives of the study were to find prevalence and factors associated with neonatal sepsis among neonates admitted in Kibungo Referral Hospital, Ngoma District, Rwanda. We used a retrospective cross-sectional study design reviewing a subset of neonatal, maternal and laboratory records from Kibungo Hospital in 2017. Data were reviewed and collected from March to May, 2018. Logistic regression and odds ratios were calculated to identify the factors associated with neonatal sepsis at 95% CI, p < 0.05. Of the 972 total neonates' medical records from 2017, we randomly selected 422 of which 12.8% (n = 54) had neonatal sepsis. When blood cultures were positive, 62% grew Klebsiella pneumoniae. Among neonates with sepsis, 38 (70%) recovered while 16 (30%) died. Neonatal sepsis was strongly associated with neonatal age less than or equal to three days (aOR: 2.769, 95% CI 1.312-5.843; p = 0.008); and gestational age less than 37 weeks (aOR: 4.149; CI 1.1878-9.167; p ≤ 0.001). Increased use of blood cultures including sensitivity testing, routine surface cultures of the neonatology and maternity wards facilities, and systematic ward cleaning are all important approaches to prevent and treat neonatal infections in additional to regular neonatal sepsis evaluations.

Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study

BACKGROUND

Diabetic kidney disease (DKD) is a diabetic microvascular complication often characterized by an unpredictable progression. Hence, early detection and recognition of patients vulnerable to progression is crucial.

OBJECTIVE

To develop a prediction model to identify the stages of DKD and the factors contributing to progression to each stage using machine learning.

METHODOLOGY

A retrospective study was conducted in a South Indian tertiary care hospital and collected the details of patients diagnosed with DKD from January 2017 to January 2022. Bayesian optimization-based machine learning techniques such as classification and regression were employed. The model was developed with the help of an optimization framework that effectively balances classification, prediction accuracy, and explainability.

RESULTS

Of the 311 patients diagnosed with DKD, 227 were selected for the study. A system for predicting DKD has been created for a patient dataset utilizing a variety of machine-learning approaches. The eXtreme gradient (XG) Boost method excelled, achieving 88.75% accuracy, 88.57% precision, 91.4% sensitivity,100% specificity, and 89.49% F1-score. An interpretable data-driven method highlights significant features for early DKD diagnosis. The best explainable prediction model uses the XG Boost classifier, revealing serum uric acid, urea, phosphorous, red blood cells, calcium, and absolute eosinophil count as the major predictors influencing the progression of DKD. In the case of regression models, the gradient boost regressor performed the best, with an R2 score of 0.97.

CONCLUSION

Machine learning algorithms can effectively predict the stages of DKD and thus help physicians in providing patients with personalized care at the right time.

Overcoming Geographical Constraints: A Diagnostic and Therapeutic Challenge of Amebic Liver Abscess in a Non-Endemic Region

This case report provides data on unique challenges related to amoebiasis diagnostics and treatment in non-endemic regions. The presented case report is focused a 28-year-old male patient of Indian origin, temporarily living in Poland, who was diagnosed with an amoebic liver abscess. The patient presented with a range of non-specific symptoms including shortness of breath, chest pain, and fever. The differential diagnosis included cardio-pulmonary diseases, a range of tropical diseases such as malaria or typhoid fever, bacterial abscesses, and malignancies, necessitating a comprehensive, multi-modal diagnostic approach. This approach included an extensive review of patient history, physical examination, and various laboratory and imaging investigations. A further challenge in this case was the unavailability of standard cysticidal treatments in Poland, which required individualized therapeutic strategy. Despite these obstacles, the patient was successfully treated using an alternative regimen of intravenous metronidazole, ceftriaxone, doxycycline, chloroquine, and finally, trimethoprim/sulfamethoxazole (treatment with metronidazole was used as a base drug, due to the lack of typical cysticidal treatment, an alternative treatment was added: chloroquine is a recommended drug used in the treatment of pregnant patients, in addition, doxycycline showed in vitro activity against Entamoeba histolytica). This therapeutic journey underscored the value of adaptability in treatment protocols, particularly in regions where certain resources may not be readily available. This case report underlines the importance of broadening the differential diagnosis in non-endemic regions to include tropical diseases, particularly in the context of increasing global travel and migration. It also highlights the significance of employing comprehensive diagnostic strategies and adaptable treatment protocols in such scenarios. In addition, the report reiterates the need for global collaboration and education among healthcare providers to effectively manage tropical diseases, especially in non-endemic regions. Through its exploration of the complexities associated with diagnosing and managing amebiasis in a non-endemic region, this report offers valuable insights to clinicians worldwide.

Entamoeba moshkovskii as a potential model organism for Gal/GalNAc lectin intermediate subunit exhibition and functional identification

In humans, Entamoeba histolytica is the main pathogen causing various amoebiases, while E. moshkovskii falls between being a pathogen and non-pathogen. The two species have similar behavior patterns but differ significantly in pathogenicity, with previous studies and clinical data indicating that E. moshkovskii has a low level of pathogenicity. Meaningfully, the biological characteristics of E. moshkovskii make it a potential model organism and a protein display platform for studying the functions of important Entamoeba proteins. Here, an Amoeba-pcDNA3.1 vector capable of overexpressing E. histolytica-sourced Igl-C protein was constructed and successfully transfected into E. moshkovskii. High levels of expression of the Igl-C, EGFP, and NeoR genes were identified in Igl-C-transfected trophozoites using qRT-PCR, and they were subsequently confirmed using immunoblotting. Transfection of Igl-C protein improved the adherence and phagocytosis of E. moshkovskii, demonstrating that E. histolytica Igl mediated amoebic adhesion. Moreover, as a manifestation of protein virulence, the ability of post-transfected trophozoites to induce inflammation in host macrophages was also enhanced. In conclusion, this study utilizing the characteristics of E. moshkovskii confirmed its potential to serve as a model organism. E. moshkovskii could replace E. histolytica as the target of gene editing, allowing more efficient study of amoebic pathogenicity.

Longitudinal humoral analysis in RSV-infected infants identifies pre-existing RSV strain-specific G and evolving cross-reactive F antibodies

Respiratory syncytial virus (RSV) is among the most common causes of lower respiratory tract infection (LRTI) and hospitalization in infants. However, the mechanisms of immune control in infants remain incompletely understood. Antibody profiling against attachment (G) and fusion (F) proteins in children less than 2 years of age, with mild (outpatients) or severe (inpatients) RSV disease, indicated substantial age-dependent differences in RSV-specific immunity. Maternal antibodies were detectable for the first 3 months of life, followed by a long window of immune vulnerability between 3 and 6 months and a rapid evolution of FcγR-recruiting immunity after 6 months of age. Acutely ill hospitalized children exhibited lower G-specific antibodies compared with healthy controls. With disease resolution, RSV-infected infants generated broad functional RSV strain-specific G-responses and evolved cross-reactive F-responses, with minimal maternal imprinting. These data suggest an age-independent RSV G-specific functional humoral correlate of protection, and the evolution of RSV F-specific functional immunity with disease resolution.

Association Between Preoperative Anemia and Cognitive Function in a Large Cohort Study of Older Patients Undergoing Elective Surgery

BACKGROUND

The etiology of anemia has tremendous overlap with the disease states responsible for cognitive decline. We used data from a perioperative database of older adults undergoing elective surgery with anesthesia to (1) examine relationships among preoperative anemia blood markers, preoperative screeners of cognitive function, and chronic disease status; and (2) examine the relationship of these factors with operative outcomes. The primary goal of this study was to investigate the association between preoperative anemia blood markers and cognition measured by a preoperative cognitive screener. Secondary goals were to (1) examine the relationship between preoperative anemia blood markers and chronic disease states (ie, American Society of Anesthesiologists [ASA] and frailty), and (2) investigate the relationship of preoperative anemia blood markers and cognition with operative outcomes (ie, discharge disposition, 1-year mortality, number of surgical complications, length of hospital stay, and length of intensive care unit [ICU] stay).

METHODS

Data were collected at the University of Florida Health Shands Presurgical Center and the Perioperative Cognitive Anesthesia Network clinic within the electronic medical record. Patients 65 years of age or older were included if they had a preoperative hemoglobin (Hgb) value and a preoperative screening. Nonparametric methods were used for bivariate analysis. Logistic regression was used for the simultaneous examination of variables associated with nonhome discharge and 1-year mortality. Primary outcomes were discharge disposition and 1-year mortality. Secondary outcomes were number of surgical complications and length of hospital and ICU stay.

RESULTS

Of 14,795 patients cognitively assessed, 8643 met the inclusion criteria. Of these, 26.7% were anemic, with 16.8%, 9.5%, and 0.4% having mild, moderate, and severe anemia, respectively. The Spearman correlation coefficient [95% confidence interval, CI] between the Hgb level and the clock drawing time (CDT) was -.15 [-.17 to -.13] (P < .0001) indicating that a lower Hgb level was associated with cognitive vulnerability. Hgb was also negatively correlated with the ASA physical status classification, patient Fried Frailty Index, and hospital and ICU length of stay. In the multivariable model, age, surgical service, ASA and Fried Frailty Index significantly predicted nonhome discharge. Furthermore, age, surgical service, ASA, Fried Frailty Index, and Hgb independently predicted death within 1 year of surgery. The odds of death, adjusted for ASA, Fried Frailty, and covariates, were 2.7 times higher for those in the mild anemic group compared to those who were not anemic (odds ratio [OR], 2.7, 95% CI, [2.1-3.5]). The odds of death, adjusted for ASA, Fried Frailty, and covariates, were 3.6 times higher for those in the moderate/severe anemic group compared to those who were not anemic (OR, 3.6, 95% CI, [2.7-4.9]).

CONCLUSIONS

In this first medicine study, we established relationships among anemia, preoperative markers of frailty and cognition, and chronic disease states in a large cohort of older patients undergoing elective surgery in a large tertiary medical center. We found that anemia, cognitive vulnerability, and chronic health disease states predicted death within 1 year of surgery, and that these preoperative factors negatively contribute to surgical outcomes such as time in the ICU, length of hospital stay, nonhome discharge, and 1-year mortality. The World Health Organization (WHO) and many academic medical societies have urged the adoption of patient blood management (PBM) disciplines, yet anemia is not routinely optimized as a preoperative risk factor. Given the well-defined association between preoperative anemia and postoperative morbidity and mortality, performing elective surgery on an untreated anemic patient should be considered substandard care. With established safe and effective treatment regimens, iron deficiency anemia is a modifiable preoperative risk factor that should be addressed before elective surgery.

Work-related musculoskeletal disorders, fatigue and stress among gas station workers in China: a cross-sectional study

INTRODUCTION

Work-related musculoskeletal disorders (WMSDs) are disorders of the musculoskeletal system that have the highest prevalence among workers worldwide. Workers in gas stations usually work in poor ergonomic working conditions, including prolonged standing and repetitive posturing.

OBJECTIVE

The study aimed to investigate the prevalence of WMSDs and fatigue and to identify the predictors of WMSDs among gas station workers.

DESIGN

The present study was a cross-sectional study.

SETTING AND PARTICIPANTS

2962 gas station workers from an oil and gas company in China, with ages ranging from 17 to 75 years old, 55.47% female.

RESULTS

The prevalence of WMSDs within the 12 months prior to the study was 73.23%, with the highest prevalence in the neck, shoulders, ankles and feet. Furthermore, a correlation was observed between fatigue, stress and WMSDs. Fatigue and job role were the strongest predictors of WMSDs, with an OR range of 2.211-3.413.

CONCLUSIONS

This research identified the detrimental impact of WMSDs and fatigue on gas station workers, indicating the critical need for interventions to reduce WMSDs and relieve fatigue.

Multi-objective extensive hypothesis testing for the estimation of advanced crash frequency models

Analyzing crash data is a complex and labor-intensive process that requires careful consideration of multiple interdependent modeling aspects, such as functional forms, transformations, likely contributing factors, correlations, and unobserved heterogeneity. Limited time, knowledge, and experience may lead to over-simplified, over-fitted, or misspecified models overlooking important insights. This paper proposes an extensive hypothesis testing framework including a multi-objective mathematical programming formulation and solution algorithms to estimate crash frequency models considering simultaneously likely contributing factors, transformations, non-linearities, and correlated random parameters. The mathematical programming formulation minimizes both in-sample fit and out-of-sample prediction. To address the complexity and non-convexity of the mathematical program, the proposed solution framework utilizes a variety of metaheuristic solution algorithms. Specifically, Harmony Search demonstrated minimal sensitivity to hyperparameters, enabling an efficient search for solutions without being influenced by the choice of hyperparameters. The effectiveness of the framework was evaluated using two real-world datasets and one synthetic dataset. Comparative analyses were performed using the two real-world datasets and the corresponding models published in literature by independent teams. The proposed framework showed its capability to pinpoint efficient model specifications, produce accurate estimates, and provide valuable insights for both researchers and practitioners. The proposed approach allows for the discovery of numerous insights while minimizing the time spent on model development. By considering a broader set of contributing factors, models with varied qualities can be generated. For instance, when applied to crash data from Queensland, the proposed approach revealed that the inclusion of medians on sharp curved roads can effectively reduce the occurrence of crashes, when applied to crash data from Washington, the simultaneous consideration of traffic volume and road curvature resulted in a notable reduction in crash variances but an increase in crash means.

Lactobacillus rhamnosus NKU FL1-8 Isolated from Infant Feces Ameliorates the Alcoholic Liver Damage by Regulating the Gut Microbiota and Intestinal Barrier in C57BL/6J Mice

Alcoholic liver damage is caused by long-term or heavy drinking, and it may further progress into alcoholic liver diseases (ALD). Probiotic supplements have been suggested for the prevention or improvement of liver damage. This study was designed to consider the ameliorative effects of Lactobacillus rhamnosus NKU FL1-8 isolated from infant feces against alcoholic liver damage. The mice were gavaged with a 50% ethanol solution and treated with 109 CFU of L. rhamnosus NKU FL1-8 suspension. The factors for liver function, oxidative stress, inflammation, gut microbiota composition, and intestinal barrier integrity were measured. The results showed that L. rhamnosus NKU FL1-8 could decrease the levels of aspartate aminotransferase (AST) to 61% and alanine aminotransferase (ALT) to 50% compared with ethanol given by gavage. It could inhibit the expression level of malondialdehyde (MDA), increase superoxide dismutase (SOD), glutathione (GSH) to relieve oxidative stress, and down-regulate the cytokines to decrease hepatic inflammation. After treatment, the level of triglycerides was reduced, and the expression levels of adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) and the peroxisome proliferators-activated receptor-α (PPAR-α) pathway were up-regulated. Additionally, the 16S rRNA sequencing analysis showed that L. rhamnosus NKU FL1-8 increased the relative abundance of Lactobacillus, Ruminococcaceae, etc. At the same time, L. rhamnosus NKU FL1-8 could significantly reduce lipopolysaccharides (LPS) and enhance intestinal tight junction proteins. These results demonstrated that L. rhamnosus NKU FL1-8 could reduce the level of oxidative stress, fat accumulation, and liver inflammation caused by alcohol in the host. The underlying mechanism could be that L. rhamnosus NKU FL1-8 inhibits LPS by regulating the gut microbiota and repairing the intestinal barrier. Thereby, these findings support L. rhamnosus NKU FL1-8 as a potential functional food for the relief of ALD.

The Prognostic and Therapeutic Potential of Fragile X Mental Retardation 1 (FMR1) Gene Expression in Prostate Adenocarcinoma: Insights into Survival Outcomes and Oncogenic Pathway Modulation

Prostate adenocarcinoma (PRAD) is the second most common tumor associated with death. The role and mechanisms of the fragile X mental retardation 1 (FMR1) gene in PRAD remain unknown. We conducted an analysis of FMR1 expression in PRAD to determine its prognostic importance and connection to carcinogenic pathways such as PI3K_AKT_mTOR. Survival analyses were utilized to establish a correlation between FMR1 expression and patient outcomes. We used the integration of genomic data with bioinformatic predictions to predict the regulatory factors of the FMR1 gene in PRAD. Our data revealed that individuals with higher levels of FMR1 expression experience worse survival outcomes compared to those with lower expression (hazard ratio [HR] = 5.08, 95% confidence interval [CI] = 1.07 - 24, p = 0.0412). FMR1 expression was significantly higher in patients with advanced pathological tumor stages, particularly in the pT3 and pT4 combined stages and the pN1 nodal stage. Furthermore, patients with high Gleason scores (GSs) (combined GSs 8 and 9) exhibited increased levels of FMR1 expression. Our results further identify a possible regulatory link between FMR1 and key oncogenic pathways, including PI3K_AKT_mTOR, and predict the possible mechanism by which FMR1 is regulated in PRAD. Our data suggest that the FMR1 gene could serve as a biomarker for PRAD progression. However, in-depth investigations, including those with large patient samples and in vitro studies, are needed to validate this finding and understand the mechanisms involved.

Mechanisms of antibody mediated immunity - Distinct in early life

Immune responses in early life are characterized by a failure to robustly generate long-lasting protective responses against many common pathogens or upon vaccination. This is associated with a reduced ability to generate T-cell dependent high affinity antibodies. This review highlights the differences in T-cell dependent antibody responses observed between infants and adults, in particular focussing on the alterations in immune cell function that lead to reduced T follicular helper cell-B cell crosstalk within germinal centres in early life. Understanding the distinct functional characteristics of early life humoral immunity, and how these are regulated, will be critical in guiding age-appropriate immunological interventions in the very young.

Global surgery education in Belgium: Student's knowledge, attitudes and exposure

PURPOSE

Understanding how medical students perceive global surgery will be essential in strengthening the global surgery workforce by 2030. This study investigated the knowledge, attitudes and exposure of Belgian medical students towards global surgery and identified avenues for medical institutions to include meaningful educational opportunities.

METHODS

An online survey was distributed to first to final year medical students across Belgian universities using social media. Data were collected on demographics, exposure, knowledge and attitudes towards global surgery. Odds ratios with 95% confidence intervals were calculated.

RESULTS

A total of 304 medical students participated from four Belgian universities. A minority reported having exposure to global surgery (24.7%), and most wanted more exposure (75.3%). Almost all respondents agreed (94.4%) that it is a relevant topic for medical students, and most agreed (71%) more compulsory education on the topic is needed. Only 13 to 44% of students could correctly answer questions testing global surgery knowledge. Personal/family responsibilities were the most important barrier to pursuing global surgery careers.

CONCLUSIONS

Global surgery knowledge and exposure is limited among Belgian medical students despite interest in the field. These results advocate for the inclusion of decolonised global surgery education alongside equitable international clinical internships in medical education worldwide.

Evaluation of alpha-defensins as a marker of severity in chronic obstructive pulmonary disease

BACKGROUND

Defensins are key effector molecules of innate immunity that can contribute towards the diagnosis and monitoring of chronic obstructive pulmonary disease (COPD). The present study was conducted to investigate the role of alpha-defensins in patients with COPD by quantifying serum and sputum samples.

METHODS

A total of 180 patients were enrolled and divided into four groups, and sputum and serum values of alpha-defensins were assessed. The sensitivity, specificity, and accuracy of sputum alpha-defensin as a diagnostic biomarker were evaluated to assess its utility in diagnosing COPD.

RESULTS

The mean value of sputum alpha-defensins was found to be statistically significant amongst the four groups (P < 0.001). The highest levels were found in subjects with AECOPD (385.76 ± 116.62 ng/mL). Sputum alpha-defensins were found to be negatively correlated with FEV 1 values (rho = -0.31, P < 0.001).

CONCLUSION

Sputum alpha-defensins can be used as a potential marker for predicting acute exacerbation of COPD. In addition, they could serve as an indicator of disease severity in COPD patients.

Enzalutamide: Understanding and Managing Drug Interactions to Improve Patient Safety and Drug Efficacy

Enzalutamide is an oral androgen receptor signaling inhibitor utilized in the treatment of men with prostate cancer. It is a moderate inducer of the cytochrome P450 (CYP) enzymes CYP2C9 and CYP2C19, and a strong inducer of CYP3A4. It was also shown to be a mild inhibitor of the efflux transporter P-glycoprotein in patients with prostate cancer. Enzalutamide is primarily metabolized by CYP3A4 and CYP2C8. The risk of enzalutamide drug interactions arises primarily when it is coadministered with other drugs that interact with these CYPs, including CYP3A4. In this review, we begin by providing an overview of enzalutamide including its dosing, use in special populations, pharmacokinetics, changes to its prescribing information, and potential for interaction with coadministered drugs. Enzalutamide interactions with drugs from a wide range of medication classes commonly prescribed to patients with prostate cancer are described, including oral androgen deprivation therapy, agents used to treat a range of cardiovascular diseases, antidiabetic drugs, antidepressants, anti-seizure medications, common urology medications, analgesics, proton pump inhibitors, immunosuppressants, and antigout drugs. Enzalutamide interactions with common vitamins and supplements are also briefly discussed. This review provides a resource for healthcare practitioners and patients that will help provide a basis for the understanding and management of enzalutamide drug-drug interactions to inform decision making, improve patient safety, and optimize drug efficacy.

The therapeutic potential of thiocyanate and hypothiocyanous acid against pulmonary infections

Hypothiocyanous acid (HOSCN) is an endogenous oxidant produced by peroxidase oxidation of thiocyanate (SCN-), an ubiquitous sulfur-containing pseudohalide synthesized from cyanide. HOSCN serves as a potent microbicidal agent against pathogenic bacteria, viruses, and fungi, functioning through thiol-targeting mechanisms, independent of currently approved antimicrobials. Additionally, SCN- reacts with hypochlorous acid (HOCl), a highly reactive oxidant produced by myeloperoxidase (MPO) at sites of inflammation, also producing HOSCN. This imparts both antioxidant and antimicrobial potential to SCN-. In this review, we discuss roles of HOSCN/SCN- in immunity and potential therapeutic implications for combating infections.

The Impact of Chronic Diseases on Mental Health: An Overview and Recommendations for Care Programs

PURPOSE OF REVIEW

The current achievement of medical advancement is noteworthy; however, the occurrence of chronic diseases is increasing day by day, with a significant percentage of affected people are suffering from a mental health crisis. This article aims to present a thorough yet brief review of methods that can be employed to build the emotional wellness of chronic patients.

RECENT FINDINGS

The mental health care strategies include resilience-building, coping skills training, professional counseling, and lifestyle adaptations. Additionally, the article highlights the efficacy of several modern interventions, such as mindfulness-based therapies, cognitive behavioral therapy, eye movement desensitization, and recovery from stress therapy. The global burden of chronic illness emphasizes the pressing need to mitigate mental health problems among chronic patients. By providing actionable insights, our study clears the path for targeted interventions and holistic approaches for chronic disease patients. Moreover, the article suggests to policymakers and clinicians the need for collaboration and multifaceted interventions.

The gut microbiome in alcohol use disorder and alcohol-associated liver disease: A systematic review of clinical studies

Evidence suggests that a relationship exists between the gut microbiome and the pathogenesis of alcohol use disorder (AUD) and alcohol-associated liver disease (AALD). This systematic review identified studies that investigated the gut microbiome in individuals with an AUD or an AALD. A search was conducted on October 27, 2022, in PubMed, Web of Science, and Embase databases. Fifty studies satisfied eligibility criteria. Most studies found evidence for gut dysbiosis in individuals with AUD and AALD. Microbiome intervention studies have mostly been conducted in AALD patients; fecal microbial transplant interventions show the most promise. Because most studies were conducted cross-sectionally, the causal relationship between the gut microbiome and alcohol use is unknown. Furthermore, almost all studies have been conducted in predominantly male populations, leaving critical questions regarding sex differences and generalizability of the findings. The study summaries and recommendations provided in this review seek to identify areas for further research and to highlight potential gut microbial interventions for treating AUD and AALD.

A cross-sectional study measuring injury mortality and its associated factors among adult patients in comprehensive specialized hospitals in Amhara National Regional State, Ethiopia

Background

Injury has become a life-threatening community health problem related to vital morbidity and mortality worldwide. Approximately 90% of injury-related deaths occurred in low-income and middle-income countries. There are limited data that address the outcomes of injuries in adult trauma patients at the time of discharge to improve the outcome of trauma care in developing countries, including Ethiopia. Therefore, this study aimed to determine the mortality following injury and its associated factors among adult patients in comprehensive specialized hospitals in Amhara's national regional state.

Methods

An institution-based cross-sectional study was conducted among 596 adult trauma patients admitted between 1 January 2018 and 30 December 2020. A systematic random sampling technique was employed to select the study participants. Data were collected from patient charts and registry books by using a data extraction tool. Data were entered into Epi-data version 4.6, and analysis was done using Stata version 16. The binary logistic regression model was fitted, and both bi-variable and multi-variable logistic regression analyses were employed.

Result

A total of 581 adult trauma patient charts with a recorded rate of 97.5% were included in the final analysis. The overall mortality outcome of injury at discharge was found to be 8.3% (95% CI: 6-10.5%). Age 26-40 years [adjusted odds ratio (AOR): 3.35 (95% CI: 1.35-8.33)], revised trauma score 10 [AOR: 3.11, (95% CI: 1.39-6.99)], duration of time before arrival in hospital more than 24 h [AOR: 3.61 (95% CI: 1.18-11.02)], and surgical management in hospital [AOR: 0.25 (95% CI: 0.12-0.54)] were predictors of mortality in patients with injuries.

Conclusion

In this study, the mortality outcome of injury is considerably high, and the middle age group, late presentation to the hospital, lower revised trauma score, and surgical management were significantly associated with the mortality outcome of injury on discharge from the hospital. Therefore, it is better if clinicians emphasize traumatically injured patients, especially for middle age groups, and lower revised trauma scores.

Next-generation sequencing strategies in venous thromboembolism: in whom and for what purpose?

This invited review follows the oral presentation "To Sequence or Not to Sequence, That Is Not the Question; But 'When, Who, Which and What For?' Is" given during the State of the Art session "Translational Genomics in Thrombosis: From OMICs to Clinics" of the International Society on Thrombosis and Haemostasis 2023 Congress. Emphasizing the power of next-generation sequencing technologies and the diverse strategies associated with DNA variant analysis, this review highlights the unresolved questions and challenges in their implementation both for the clinical diagnosis of venous thromboembolism and in translational research.

Survival benefit of inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a nationwide cohort study

The role of inhaled corticosteroids (ICS) in chronic obstructive pulmonary disease (COPD) is debated. We investigated whether the administration of ICS could lower the mortality risk in patients with COPD. We utilized the Korean National Health Insurance Service-National Sample Cohort database from 2002 to 2019. We included patients who had claim codes for COPD and inhalation respiratory medicine at least twice a year. A time-dependent Cox regression model was employed to estimate the association between ICS usage and survival. The cumulative dose of ICS was classified into three groups, and the mortality risk was compared among these groups. Of 16,463 included patients, there were 4395 (26.7%) deaths during the mean follow-up period of 5.0 years. The time-dependent Cox regression model demonstrated that ICS users had a significantly lower mortality risk compared to non-users (adjusted hazard ratio, 0.89; 95% CI, 0.83-0.94; p < 0.001), particularly among individuals aged ≥ 55 years, women, never smokers, and those with history of asthma or coronary heart disease. Higher cumulative dose groups were associated with a lower mortality risk compared to the lowest cumulative dose group. In conclusion, the administration of ICS seemed to be associated with a lower mortality risk in patients with COPD.

Efficacy and cerebral mechanisms of acupuncture for chronic obstructive pulmonary disease: study protocol for a multicenter, randomized controlled neuroimaging trial

Introduction

Although acupuncture is recommended by chronic obstructive pulmonary disease (COPD) treatment guidelines owing to its effects on dyspnea, the underlying neurobiological mechanisms of these effects remain unclear. This study aims to evaluate the efficacy of acupuncture in patients with stable COPD and explore the possible involvement of specific brain regions.

Methods

This is a prospective, multicenter, single-blind, randomized controlled trial. A total of 90 participants will be recruited from three centers and will be randomly assigned in a 1:1 ratio to undergo acupuncture at acupoints on the disease-affected meridian (DAM) or non-acupoints on the non-affected meridian (NAM), in addition to routine pharmacological treatments. All participants will undergo 30 min of acupuncture three times a week for 8 weeks and will be followed up for 12 months. The primary outcome will be the severity of dyspnea, as measured using the Borg Dyspnea Scale and a visual analog scale at rest and after exercise. The secondary outcomes will include the multidimensional profile of dyspnea using Dyspnea-12, the modified Medical Research Council Dyspnea Scale, and the COPD assessment test; quality of life assessments using St George's Respiratory Questionnaire and the Hospital Anxiety and Depression Scale; and additional measurements of exacerbation frequency, pulmonary function, and the 6-min walking distance. Magnetic resonance imaging (MRI) will be performed before and after exercise to explore the potential neurobiological mechanisms of exertional dyspnea. Anxiety and depression will be measured and analyzed for their correlation with the activation of specific brain areas involved in dyspnea.

Discussion

This randomized controlled trial aims to use a multidimensional evaluation of the efficacy of acupuncture in relieving dyspnea in patients with COPD in terms of emotion and quality of life and explore the neurobiological mechanisms underlying the effects of acupuncture on dyspnea from an imaging perspective. It is expected to provide strong evidence to support the use of acupuncture in relieving dyspnea in patients with COPD and those with aother diseases involving dyspnea. Additionally, it provides novel insights into the central mechanisms of acupuncture intervention and dyspnea.

Trial registration

Chinese Clinical Trial Registry (https://www.chictr.org.cn/): ChiCTR2300071725.

Effect of transcranial direct current stimulation in the initial weeks post-stroke: a pilot randomized study

OBJECTIVE

This study aimed at assessing the alterations in upper limb motor impairment and connectivity between motor areas following the post-stroke delivery of cathodal transcranial direct current stimulation sessions.

METHODS

Modifications in the Fugl-Meyer Assessment scores, connectivity between the primary motor cortex of the unaffected and affected hemispheres, and between the primary motor and premotor cortices of the unaffected hemisphere were compared prior to and following six sessions of cathodal transcranial direct current stimulation application in 13 patients (active = 6; sham = 7); this modality targets the primary motor cortex of the unaffected hemisphere early after a stroke.

RESULTS

Clinically relevant distinctions in Fugl-Meyer Assessment scores (≥9 points) were observed more frequently in the Sham Group than in the Active Group. Between-group differences in the alterations in Fugl-Meyer Assessment scores were not statistically significant (Mann-Whitney test, p=0.133). ROI-to-ROI correlations between the primary motor cortices of the affected and unaffected hemispheres post-therapeutically increased in 5/6 and 2/7 participants in the Active and Sham Groups, respectively. Between-group differences in modifications in connectivity between the aforementioned areas were not statistically significant. Motor performance enhancements were more frequent in the Sham Group compared to the Active Group.

CONCLUSION

The results of this hypothesis-generating investigation suggest that heightened connectivity may not translate into early clinical benefits following a stroke and will be crucial in designing larger cohort studies to explore mechanisms underlying the impacts of this intervention. ClinicalTrials.gov Identifier: NCT02455427.

Association of Delirium with Long-Term Mortality in Critically Ill Patients with COPD Who Survived to Discharge: A Retrospective Cohort Study

BACKGROUND

Critically ill patients with chronic obstructive pulmonary disease (COPD) face significant mortality after hospital discharge. Delirium is common in patients with COPD, but its impact on long-term mortality in critically ill COPD patients who survive to discharge remains uncertain.

METHODS

Critically ill patients with COPD who survived to discharge were selected from the Medical Information Mart for Intensive Care IV database. Delirium was assessed using the Confusion Assessment Method for Intensive Care Unit. The primary outcome was 365- and 180-day mortality after discharge. The secondary outcomes included 90- and 30-day mortality following discharge, length of intensive care unit (ICU) and hospital stays, and nursing care needs after hospital discharge.

RESULTS

Of the 2621 survivors of critically ill COPD patients, 982 had suffered delirium during their ICU stay and 709 died within 365 days after hospital discharge. Delirium was significantly associated with 365-day mortality after hospital discharge (adjusted hazard ratio [HR] 1.22; 95% confidence interval [CI] 1.02-1.47). The results were consistent for 180-, 90-, and 30-day post-discharge mortality (adjusted HR [95% CI]: 1.35 [1.09-1.66], 1.48 [1.16-1.89], and 1.68 [1.21-2.32], respectively). Additionally, patients with delirium had longer ICU and hospital stay (adjusted β 2.75; 95% CI 2.35-3.16 and 4.25; 95% CI 3.51-4.98, respectively) and increased nursing care needs after hospital discharge (adjusted odds ratio, 1.56; 95% CI 1.13-2.14).

CONCLUSION

ICU delirium was an independent risk factor for both long-term and short-term mortality in critically ill patients with COPD who survived to discharge.

The link between Alzheimer's disease and stroke: A detrimental synergism

Being age-related disorders, both Alzheimer's disease (AD) and stroke share multiple risk factors, such as hypertension, smoking, diabetes, and apolipoprotein E (APOE) Ɛ4 genotype, and coexist in patients. Accumulation of amyloid-β plaques and neurofibrillary tangled impair cognitive potential, leading to AD. Blocked blood flow in the neuronal tissues, causes neurodegeneration and cell death in stroke. AD is commonly characterized by cerebral amyloid angiopathy, which significantly elevates the risk of hemorrhagic stroke. Patients with AD and stroke have been both reported to exhibit greater cognitive impairment, followed by multiple pathophysiological mechanisms shared between the two. The manuscript aims to elucidate the relationship between AD and stroke, as well as the common pathways and risk factors while understanding the preventive therapies that might limit the negative impacts of this correlation, with diagnostic modalities and current AD treatments. The authors provide a comprehensive review of the link and aid the healthcare professionals to identify suitable targets and risk factors, that may retard cognitive decline and neurodegeneration in patients. However, more intricate research is required in this regard and an interdisciplinary approach that would target both the vascular and neurodegenerative factors would improve the quality of life in AD patients.

Dual-Energy CT in Acute Stroke: Could Non-Contrast CT Be Replaced by Virtual Non-Contrast CT? A Feasibility Study

Purpose: We aimed to evaluate whether virtual non-contrast cerebral computed tomography (VNCCT) reconstructed from intravenous contrast-enhanced dual-energy CT (iv-DECT) could replace non-contrast CT (NCCT) in patients with suspected acute cerebral ischemia. Method: This retrospective study included all consecutive patients in whom NCCT followed by iv-DECT were performed for suspected acute ischemia in our emergency department over a 1-month period. The Alberta Stroke Program Early CT Score (ASPECTS) was used to determine signs of acute ischemia in the anterior and posterior circulation, the presence of hemorrhage, and alternative findings, which were randomly evaluated via the consensus reading of NCCT and VNCCT by two readers blinded to the final diagnosis. An intraclass correlation between VNCCT and NCCT was calculated for the ASPECTS values. Both techniques were evaluated for their ability to detect ischemic lesions (ASPECTS <10) when compared with the final discharge diagnosis (reference standard). Results: Overall, 148 patients (80 men, mean age 64 years) were included, of whom 46 (30%) presented with acute ischemia, 6 (4%) presented with intracerebral hemorrhage, 11 (7%) had an alternative diagnosis, and 85 (59%) had no pathological findings. The intraclass correlation coefficients of the two modalities were 0.97 (0.96-0.98) for the anterior circulation and 0.77 (0.69-0.83) for the posterior circulation. The VNCCT's sensitivity for detecting acute ischemia was higher (41%, 19/46) than that of NCCT (33%, 15/46). Specificity was similar between the two techniques, at 94% (97/103) and 98% (101/103), respectively. Conclusions: Our results show that VNCCT achieved a similar diagnostic performance as NCCT and could, thus, replace NCCT in assessing patients with suspected acute cerebral ischemia.

Does Phage Therapy Need a Pan-Phage?

The emergence of multidrug-resistant bacteria is undoubtedly one of the most serious global health threats. One response to this threat that has been gaining momentum over the past decade is 'phage therapy'. According to this, lytic bacteriophages are used for the treatment of bacterial infections, either alone or in combination with antimicrobial agents. However, to ensure the efficacy and broad applicability of phage therapy, several challenges must be overcome. These challenges encompass the development of methods and strategies for the host range manipulation and bypass of the resistance mechanisms developed by pathogenic bacteria, as has been the case since the advent of antibiotics. As our knowledge and understanding of the interactions between phages and their hosts evolves, the key issue is to define the host range for each application. In this article, we discuss the factors that affect host range and how this determines the classification of phages into different categories of action. For each host range group, recent representative examples are provided, together with suggestions on how the different groups can be used to combat certain types of bacterial infections. The available methodologies for host range expansion, either through sequential adaptation to a new pathogen or through genetic engineering techniques, are also reviewed.

Trends in allogeneic hematopoietic cell transplantation survival using population-based descriptive epidemiology method: analysis of national transplant registry data

Prognosis for patients undergoing hematopoietic cell transplantation (HCT) has been improving. Short-term survival information, such as crude survival rates that consider deaths immediately after the transplantation, may not be sufficiently useful for assessing long-term survival. Using the data of the Japanese HCT registry, the net survival rate of patients who survived for a given period was determined according to age, disease, and type of transplant. We included a total of 41,716 patients who received their first allogeneic hematopoietic cell transplantation between 1991 and 2015. For each disease, age group, graft source subcategory, net survival was calculated using the Pohar-Perme method, and 5-year conditional net survival (CS) was calculated. Ten-year net survivals of total patient cohort were 41.5% and 47.4% for males and females, respectively. Except for myelodysplastic syndrome, multiple myeloma, and adult T-cell leukemia/lymphoma, 5-year CS for 5-year transplant survivors exceeded 90%. CS was especially high for aplastic anemia, of which was over 100% for children and younger adults receiving cord blood, suggesting that these patients have similar longevity to an equivalent group from the general population. These findings provide useful information for long-term survival, and can serve as benchmark for comparisons among registries, including other cancers.

Mucosal bivalent live attenuated vaccine protects against human metapneumovirus and respiratory syncytial virus in mice

Live-Attenuated Vaccines (LAVs) stimulate robust mucosal and cellular responses and have the potential to protect against Respiratory Syncytial Virus (RSV) and Human Metapneumovirus (HMPV), the main etiologic agents of viral bronchiolitis and pneumonia in children. We inserted the RSV-F gene into an HMPV-based LAV (Metavac®) we previously validated for the protection of mice against HMPV challenge, and rescued a replicative recombinant virus (Metavac®-RSV), exposing both RSV- and HMPV-F proteins at the virion surface and expressing them in reconstructed human airway epithelium models. When administered to BALB/c mice by the intranasal route, bivalent Metavac®-RSV demonstrated its capacity to replicate with reduced lung inflammatory score and to protect against both RSV and lethal HMPV challenges in vaccinated mice while inducing strong IgG and broad RSV and HMPV neutralizing antibody responses. Altogether, our results showed the versatility of the Metavac® platform and suggested that Metavac®-RSV is a promising mucosal bivalent LAV candidate to prevent pneumovirus-induced diseases.

Cardiac patients' surgery outcome and associated factors in Ethiopia: application of machine learning

INTRODUCTION

Cardiovascular diseases are a class of heart and blood vessel-related illnesses. In Sub-Saharan Africa, including Ethiopia, preventable heart disease continues to be a significant factor, contrasting with its presence in developed nations. Therefore, the objective of the study was to assess the prevalence of death due to cardiac disease and its risk factors among heart patients in Ethiopia.

METHODS

The current investigation included all cardiac patients who had cardiac surgery in the country between 2012 and 2023. A total of 1520 individuals were participated in the study. Data collection took place between February 2022 and January 2023. The study design was a retrospective cohort since the study track back patients' chart since 2012. Machine learning algorithms were applied for data analysis. For machine learning algorithms comparison, lift and AUC was applied.

RESULTS

From all possible algorithms, logistic algorithm at 90%/10% was the best fit since it produces the maximum AUC value. In addition, based on the lift value of 3.33, it can be concluded that the logistic regression algorithm was performing well and providing substantial improvement over random selection. From the logistic regression machine learning algorithms, age, saturated oxygen, ejection fraction, duration of cardiac center stays after surgery, waiting time to surgery, hemoglobin, and creatinine were significant predictors of death.

CONCLUSION

Some of the predictors for the death of cardiac disease patients are identified as such special attention should be given to aged patients, for patients waiting for long periods of time to get surgery, lower saturated oxygen, higher creatinine value, lower ejection fraction and for patients with lower hemoglobin values.

Persistent unmet need for surgical care in Western Uganda

Treatable surgical diseases account for a significant proportion of the global burden of disease, particularly in low- and middle-income communities. The number of deaths owing to poor surgical care or its non-availability has been reported to exceed those from HIV/AIDS, tuberculosis and malaria combined. The Ugandan government and its development partners aim to put in place measures to achieve universal health coverage for all communities. These include construction and equipping health facilities, training of health workers, opening up road networks, and poverty alleviation programmes. However, these efforts have, as yet, fallen short as evidenced by external hernias remaining the leading cause of intestinal obstruction for more than 40 years. We recommend establishment of global surgery collaborations with rural-based medical training schools and other health facilities, essential surgical skills training for medical students, task shifting in surgical care and integration of regular surgical camps in the Uganda's healthcare delivery model.

Nailfold Capillaroscopy: A Comprehensive Review on Its Usefulness in Both Clinical Diagnosis and Improving Unhealthy Dietary Lifestyles

Since the 1970s, the utility of nailfold capillaroscopy (NFC) in diagnosing rheumatological disorders such as systemic sclerosis has been well established. Further studies have also shown that NFC can detect non-rheumatic diseases such as diabetes, glaucoma, dermatitis, and Alzheimer disease. In the past decade, nailfold capillary morphological changes have also been reported as symptoms of unhealthy lifestyle habits such as poor diet, smoking, sleep deprivation, and even psychological stress, all of which contribute to slow blood flow. Therefore, studying the relationships between the morphology of nailfold capillaries and lifestyle habits has a high potential to indicate unhealthy states or even pre-disease conditions. Simple, inexpensive, and non-invasive methods such as NFC are important and useful for routine medical examinations. The present study began with a systematic literature search of the PubMed database followed by a summary of studies reporting the assessment of morphological changes detected by NFC, and a comprehensive review of NFC's utility in clinical diagnosis and improving unhealthy dietary lifestyles. It culminates in a summary of dietary and lifestyle health promotion strategy, assessed based on NFC and other related measurements that indicate healthy microvascular blood flow and endothelial function.

Comparison of whole body computed tomography findings with physician predictions in high-energy blunt trauma patients: prospective observational study

BACKGROUND

The whole-body computed tomography (WBCT) procedure is increasingly common in evaluating patients presenting with high-energy trauma. However, it remains unclear in which population WBCT provides benefit and whether its routine application is truly beneficial. In this study, we aimed to compare physician predictions with WBCT findings in patients with high-energy blunt trauma.

METHODS

The study was conducted as a single-center prospective observational study at a tertiary center. Patients presenting with high-energy blunt trauma between 01.03.2021-01.03.2023 were included. Both physician predictions and WBCT findings were recorded and compared in three categories: "no pathology," "no life-threatening pathology," and "life-threatening pathology." The predictive values of physician predictions for each category were calculated. The characteristics of patients evaluated as less severe than predicted by clinicians were examined.

RESULTS

The study included a total of 92 patients. The median age was 27 years (IQR 25-75; 20-54). Among the patients, 27 (%) had life-threatening injuries according to CT findings in any region. A total of 34 (37%) patients were predicted by physicians to have "no pathology" in all three regions. Among these patients, none had life-threatening pathology in all three regions. There were 10 (10.9%) patients with CT findings more severe than physician predictions in at least one region. The sensitivity of physician predictions for life-threatening injury to the head/cervical region was 94.1% (95% CI: 71.3-99.9). For life-threatening injury to the chest, the sensitivity was 85.7% (95% CI: 42.1-99.6). For the presence of life-threatening abdominal pathology, the sensitivity was 100% (95% CI: 63.1-100). CONCLUSıON: It appears reasonable to utilize WBCT in patients where physicians expect life-threatening injury in any system. However, in cases where no pathology is expected in any system according to clinical prediction, we believe that performing WBCT solely based on trauma mechanism will not provide sufficient benefit.

M133S mutation possibly involve in the ER stress and mitophagy pathway in maintenance hemodialysis patients with occult hepatitis B infection

Occult hepatitis B virus infection (OBI) is characterized by the presence of HBV DNA in the absence of detectable HBsAg. OBI is an important risk factor for cirrhosis and hepatocellular carcinoma, but its pathogenesis has not been fully elucidated. Mutations in the HBV preS/S genes can lead to impaired secretion of either HBsAg or S-protein resulting in the accumulation of defective viruses or S protein in cells. In our previous work, the M133S mutation was present in the HBV S gene of maintenance hemodialysis (MHD) patients with OBI. In this study, we investigated the potential role of amino acid substitutions in S proteins in S protein production and secretion through the construction of mutant S gene plasmids, structural prediction, transcriptome sequencing analysis, and in vitro functional studies. Protein structure prediction showed that the S protein M133S mutant exhibited hydrophilic modifications, with greater aggregation and accumulation of the entire structure within the membrane phospholipid bilayer. Differential gene enrichment analysis of transcriptome sequencing data showed that differentially expressed genes were mainly concentrated in protein processing in the endoplasmic reticulum (ER). The expression of heat shock family proteins and ER chaperone molecules was significantly increased in the wild-type and mutant groups, whereas the expression of mitochondria-associated proteins was decreased. Immunofluorescence staining and protein blotting showed that the endoplasmic reticulum-associated protein PDI, the autophagy marker LC3, and the lysosome-associated protein LAMP2 co-localized with the S proteins in the wild-type and mutant strains, and their expression was increased. The mitochondria-associated TOMM20 protein was also co-expressed with the S protein, but expression was significantly reduced in the mutant. The M133S mutation in the S gene is expressed as a defective and misfolded protein that accumulates in the endoplasmic reticulum causing secretion-impaired endoplasmic reticulum stress, which in turn triggers mitochondrial autophagy and recruits lysosomes to fuse with the autophagosome, leading to mitochondrial clearance. This study preliminarily demonstrated that the mutation of M133S in the S gene can cause OBI and is associated with disease progression, providing a theoretical basis for the diagnosis and treatment of OBI.

Bibliometric analysis of the association between periodontal disease and cardiovascular disease

Purpose

Conduct a bibliometric analysis to review the knowledge structure and research trends regarding the association between periodontal disease and cardiovascular disease (CVD).

Methods

The Web of Science Core collection database was searched for retrieving publications related to periodontitis and CVD between January 1, 2003 and December 31, 2022. The VOSviewer, CiteSpace, and R software package "bibliometrix" were employed for the bibliometric analysis.

Results

In total, 3447 articles were collected from 98 countries over the past 20 years, with the United States (1,003), Japan (377), and China (321) contributing the most publications. The literature in this field exhibited exponential growth. The University of Helsinki (n = 125, 1.37 %) holds the distinction of being the research institution with the highest number of publications, with a predominant representation from institutions in the United States. Notably, the Journal of Periodontology emerges as the most popular journal in the field, whereas the Journal of Clinical Periodontology takes the lead in terms of citations. These publications originated from 15,236 authors, with Pussinen (n = 40) having the highest number of published papers and Tonetti (n = 976) garnering the most citations. The visualization analysis of keywords identified "oral microbiome," "inflammation," and "porphyromonas gingivalis" as emerging research hotspots in exploring the relationship between periodontitis and CVDs.

Conclusion

Through a comprehensive bibliometric analysis, this study posits that periodontitis may heighten the risk of cardiovascular events, offering valuable academic references for scholars investigating the link between periodontitis and CVDs.

Impact of capacity building and tele ECG based decision support on change in thrombolysis rate and inhospital and one year mortality in patients with STEMI, using hub and spoke model; multi-phasic intervention trial

BACKGROUND

We report the impact of capacity building and teleconsultation on change in the thrombolysis rates and one-year mortality in patients with STEMI using a hub and the spoke model of STEMI care.

METHODS

Twenty secondary care public hospitals were linked with a teaching hospital as a hub centre and the impact of the intervention on change in ischemic time, thrombolysis rates and all-cause in-hospital and one-year mortality was compared.

RESULTS

29 patients with STEMI were treated during pre-intervention from April 2020 to June 2020 and 255 patients during the post-intervention period from July 2020 to Oct 2021 in spoke centres. 245 patients were reported to a hub centre during the study period. The thrombolysis rate was significantly higher in the spoke centres after intervention (65.5%vs. 27.5 % p < 0.001) and was also significantly higher than in patients treated in a hub centre (65.5 % vs. 45.7 % p < 0.01). The in-hospital mortality was significantly lower in patients treated at spoke centres compared to those treated at the hub centre (7.8 % vs. 15.5 % < 0.003). The significant difference in mortality rate continued at one year (11.0 % vs.18.4 % p < 0.01). The median time from symptoms to thrombolytic therapy was significantly lower in STEMI patients treated in spoke centres compared to a hub centre (230 min vs. 356 min p < 0.001).

CONCLUSION

The hub and spoke model of STEMI care is effective in increasing thrombolysis rate, and decreasing in-hospital and one-year mortality rate.

Impact of the pandemic on leisure physical activity and alcohol consumption

BACKGROUND

The COVID-19 pandemic precipitated heightened morbidity and elevated mortality attributed to the SARS-CoV-2 infection. The pandemic also influenced health behaviors such as physical activity (PA) and alcohol consumption. The aim of this study was to examine changes in leisure PA and alcohol consumption in Sweden during the pandemic, and elucidate potential discrepancies in changes across demographic strata and socioeconomic status (SES).

METHODS

Data were retrieved from two waves of the longitudinal cohort study Life conditions, Stress and Health (LSH) (n = 2,523). Two measures of change were used; longitudinal change relative to baseline (2012-2015) and reported change compared to before the pandemic. For these two change measures, differences between sex, age group and SES were analyzed using multinomial logistic regression.

RESULTS

Regardless of the change measure, the proportion of individuals with diminished PA was notably higher among females compared to males. Furthermore, relative to baseline, females were less likely to have increased their PA, however according to the reported change they were more likely to have increased PA. Longitudinal change in PA compared to baseline followed a reversed age gradient, while, according to reported change, a decrease in PA during the pandemic was most prevalent in respondents 45 years of age at baseline (OR = 1.8, CI: 1.2-2.5) and respondents 50 years of age at baseline (OR = 1.7, CI: 1.2-2.4). High SES was associated with a greater variability in PA. Alcohol consumption was generally reduced during the pandemic. However, individuals aged 40 or 45 years at baseline were more likely than others to have initiated risky alcohol consumption.

CONCLUSIONS

Females exhibited a greater propensity to alter their PA levels during the pandemic, with the most profound decreases observed among individuals of working ages. Despite a general downturn in alcohol consumption, individuals aged 40 and 45 had a heightened likelihood of having initiated risky alcohol consumption compared to individuals in other age cohorts. In conclusion, societal restrictions during a pandemic render a dual impact on PA levels. While posing a risk for decreased PA among individuals in working ages, the restrictions also present a potential window of opportunity to increase PA, particularly among females.

Development and Validation of an In-Hospital Mortality Prediction Model for Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

Patients with chronic obstructive pulmonary disease (COPD) often face unknown risks during acute exacerbation of the disease (AECOPD), which could potentially result in mortality. This study aimed to develop and validate a nomogram model for predicting the risk of in-hospital mortality in AECOPD patients.

Patients and Methods

Clinical data of patients hospitalized at The Second People's Hospital of Wuhu City for AECOPD between January 2013 and December 2022 were retrospectively collected. Variables underwent selection through LASSO regression and multivariable logistic regression to develop a nomogram model. The model's predictive performance was assessed using the concordance index, calibration curve, and decision curve analysis (DCA), with internal validation conducted using the bootstrap method.

Results

A total of 1224 patients were included in this study, with 98 (8%) deaths occurring during hospitalization. LASSO regression identified 11 variables, used to construct model A. Further multivariable logistic regression was conducted to select variables with P < 0.05 to establish model B. model B was selected as the final model based on discrimination, calibration, and clinical utility, encompassing variables including acute respiratory failure, lung cancer, heart rate, hemoglobin, absolute neutrophil count, serum albumin, blood urea nitrogen, and serum chloride. The nomogram model achieved a concordance index of 0.858. Internal validation of the model was conducted using the bootstrap method with 500 repetitions, resulting in a concordance index of 0.851 (95% CI: 0.805, 0.893). The calibration curve demonstrated a good fit, with a Hosmer-Lemeshow goodness-of-fit test P-value of 0.520. Moreover, DCA findings suggested patient benefit within a threshold probability range of 0.02 to 0.73, with a maximum net benefit of 0.07.

Conclusion

The model constructed in this study has good predictive performance, which helps clinical doctors identify patients at high risk of death early.

Antagonism of epidermal growth factor receptor signaling favors hepatitis E virus life cycle

Hepatitis E virus (HEV) poses a global threat, which currently remains understudied in terms of host interactions. Epidermal growth factor receptor (EGFR) plays multifaceted roles in viral pathogenesis, impacting host-cell entry, viral replication, and host-defense modulation. On the one hand, EGFR signaling emerged as a major driver in innate immunity; on the other hand, a crosstalk between HEV and EGFR requires deeper analysis. We therefore aimed to dissect the receptor's involvement in the HEV life cycle. In persistently HEV-infected cells, the EGFR amount is decreased alongside with enhanced receptor internalization. As compared with the control ligand-induced EGFR, activation revealed an early receptor internalization and degradation in HEV-replicating cells, resulting in a notable EGFR signaling delay. Interestingly, inhibition or silencing of EGFR increased viral replication, extracellular and intracellular viral transcripts, and released infectious particles. The pro-viral impact of EGFR inhibition was attributed to (i) impaired expression of interferon-stimulated genes, (ii) activation of the autophagosomal system, (iii) virus-induced inhibition of lysosomal acidification, and (iv) a decrease of the cellular cholesterol level.

IMPORTANCE

This study identifies epidermal growth factor receptor (EGFR) as a novel host factor affecting hepatitis E virus (HEV): EGFR downregulation promotes viral replication, release, and evasion from the innate immune response. The discovery that EGFR inhibition favors viral spread is particularly concerning for HEV patients undergoing EGFR inhibitor treatment.

Incidence of mortality and risk factors among adult stroke patients in public hospitals Jigjiga town Somali region, Ethiopia: Cohort study design

Background

A stroke is a sudden loss of blood supply to the brain, leading to permanent tissue damage caused by embolism, thrombosis, or hemorrhagic events. Almost 85% of strokes are ischemic strokes.

Objective

To assess the incidence of mortality and risk factors among adult stroke patients in public hospitals of Jigjiga town, Somali Region, Ethiopia.

Methods

An institution-based retrospective cohort study was conducted from 25 May to 15 June 2022 at Sheikh Hassen Yabare Referral Hospital and Karamara Hospital. Data were entered using Epi-Data version 4.3 and exported to be analyzed using SPSS 20 statistical software. Kaplan-Meier was used to estimate mean survival time, and a predictor with a p-value < 0.05 was considered to have a significant in multivariate Cox regression.

Results

About 480 stroke patients' charts were included in this study; among those, 229 (53.3%) were male stroke patients, and 259 (60.2%) had an ischemic stroke. The overall incidence rate was 7.15 deaths per 1000 person-day observations. The overall median survival time for adult stroke patients was 120 days. GCS level b/n 3-8 has a lower survival time with a mean survival time of 57 days (95% CI: 48.8-66.7) as compared to those who had GCS level 9-12 with a mean survival time of 103 days (95% CI: 93.4-112.9). Age ⩾ 71 (AHR = 1.9; 95% CI: 1.02-3.45), presence of pneumonia (AHR = 2.7; 95% CI: 1.52-4.63), and history of hypertension (AHR = 2.07; 95% CI: 1.08-3.89) were the predictors of mortality among stroke patients.

Conclusion

According to the findings of this study, the incidence of mortality was high, at 7.15 per 1000 person-years. The presence of pneumonia, decreased GCS, age ⩾ 7, and history of hypertension were predictors of mortality in adult stroke patients.

Macrocyclization strategy for improving candidate profiles in medicinal chemistry

Macrocycles are defined as cyclic compounds with 12 or more members. In medicinal chemistry, they are categorized based on their core chemistry into cyclic peptides and macrocycles. Macrocycles are advantageous because of their structural diversity and ability to achieve high affinity and selectivity towards challenging targets that are often not addressable by conventional small molecules. The potential of macrocyclization to optimize drug-like properties while maintaining adequate bioavailability and permeability has been emphasized as a key innovation in medicinal chemistry. This review provides a detailed case study of the application of macrocyclization over the past 5 years, starting from the initial analysis of acyclic active compounds to optimization of the resulting macrocycles for improved efficacy and drug-like properties. Additionally, it illustrates the strategic value of macrocyclization in contemporary drug discovery efforts.

The association between polyunsaturated fatty acids and chronic obstructive pulmonary disease: a meta-analysis

Background: Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, and its development and prognosis are influenced by many nutrients. However, the relationship between polyunsaturated fatty acids (PUFAs) and COPD remains unclear. Methods: This study searched all literature reports on PUFAs and COPD based on electronic databases from their inception up to October 2023. Meta-analysis was conducted to evaluate the differences in PUFAs between COPD patients and controls, the risk of COPD in subjects with different levels of PUFA concentrations, and the effect of PUFA supplementation on COPD. Results: A total of nineteen studies met our inclusion criteria, which included 155 636 subjects. Our meta-analysis results showed that the daily dietary intake of PUFAs was lower in COPD patients than in controls (SMD = -0.80 g, 95% CI: -1.28, -0.31 g, I2 = 98.6%, P < 0.001). Meanwhile, the lower n-3 PUFA levels and higher n-6 PUFA levels were associated with an increased risk of COPD (effect size n-3 = 0.87, 95% CI: 0.77, 0.98, I2 = 52.2%, P = 0.018; effect size n-6 = 1.23, 95% CI: 1.05, 1.43, I2 = 75.2%, P < 0.001). Furthermore, the content of low-density lipoprotein cholesterol in the PUFA supplementation group was higher than that in the control group (SMD = 0.63 mg dL-1, 95% CI: 0.15, 1.12 mg dL-1, I2 = 0.0%, P = 0.697). Conclusions: Our meta-analysis indicated a potential relationship between PUFAs and COPD. More large-scale prospective cohort studies and clinical trials are necessary to validate this relationship.

Primary care clinician perspectives on automated nephrology e-consults for diabetic kidney disease: a pre-implementation qualitative study

BACKGROUND

Many patients with diabetic kidney disease (DKD) do not receive evidence-based, guideline-recommended treatment shown to reduce DKD progression and complications. Proactive electronic consultations (e-consults) are an emerging intervention strategy that could potentially allow nephrologists to provide timely and evidence-based guidance to primary care providers (PCPs) engaged in early DKD care.

METHODS

The objective of this study was to explore perspectives about potential barriers and facilitators associated with a proactive e-consult program to improve DKD care delivery. We conducted semi-structured qualitative interviews with PCPs across three different health systems. Interview transcripts were reviewed in a rapid qualitative analysis approach to iteratively identify, refine, and achieve consensus on a final list of themes and subthemes.

RESULTS

A total of 18 interviews were conducted. PCPs across all sites identified similar challenges to delivering guideline-recommended DKD care. PCPs were supportive of the proactive e-consult concept. Three major themes emerged surrounding (1) perceived potential benefits of proactive e-consults, including educational value and improved specialist access; (2) concerns about the proactive nature of e-consults, including the potential to increase PCP workload and the possibility that e-consults could be seen as documenting substandard care; and (3) leveraging of care teams to facilitate recommended DKD care, such as engaging clinic-based pharmacists to implement specialist recommendations from e-consults.

CONCLUSION

In this pre-implementation qualitative study, PCPs noted potential benefits and identified concerns and implementation barriers for proactive e-consults for DKD care. Strategies that emerged for promoting successful implementation included involving clinic support staff to enact e-consult recommendations and framing e-consults as a system improvement effort to avoid judgmental associations.

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Introduction

This study aimed to develop and validate machine learning (ML) models based on serum Klotho for predicting end-stage kidney disease (ESKD) and cardiovascular disease (CVD) in patients with chronic kidney disease (CKD).

Methods

Five different ML models were trained to predict the risk of ESKD and CVD at three different time points (3, 5, and 8 years) using a cohort of 400 non-dialysis CKD patients. The dataset was divided into a training set (70%) and an internal validation set (30%). These models were informed by data comprising 47 clinical features, including serum Klotho. The best-performing model was selected and used to identify risk factors for each outcome. Model performance was assessed using various metrics.

Results

The findings showed that the least absolute shrinkage and selection operator regression model had the highest accuracy (C-index = 0.71) in predicting ESKD. The features mainly included in this model were estimated glomerular filtration rate, 24-h urinary microalbumin, serum albumin, phosphate, parathyroid hormone, and serum Klotho, which achieved the highest area under the curve (AUC) of 0.930 (95% CI: 0.897-0.962). In addition, for the CVD risk prediction, the random survival forest model with the highest accuracy (C-index = 0.66) was selected and achieved the highest AUC of 0.782 (95% CI: 0.633-0.930). The features mainly included in this model were age, history of primary hypertension, calcium, tumor necrosis factor-alpha, and serum Klotho.

Conclusion

We successfully developed and validated Klotho-based ML risk prediction models for CVD and ESKD in CKD patients with good performance, indicating their high clinical utility.

Population-based surveillance of congenital anomalies over 40 years (1981-2020): Results from the Paris Registry of Congenital Malformations (remaPAR)

INTRODUCTION

Registries of congenital anomalies (CAs) play a key role in the epidemiological surveillance of CAs. The objective was to estimate the prevalence of CAs and proportions of prenatal diagnosis, terminations of pregnancy for fetal anomaly (TOPFA) and infant mortality in the Paris Registry of Congenital Malformations (remaPAR) over 40 years, from 1981 to 2020.

MATERIAL AND METHODS

remaPAR records all births (live births, stillbirths ≥22 weeks of gestation and TOPFA at any gestational age) with CAs detected prenatally until the early neonatal period. We estimated the prevalence of CAs and proportions of prenatal diagnosis, TOPFA and infant mortality, overall and for a selected group of CAs in 3-year intervals.

RESULTS

The prevalence of CAs remained stable during the study period: 2.9 % of total births and 2.1 % of live births. Genetic anomalies were the most frequent subgroup (about 23 %), followed by congenital heart defects (about 22 %) and limb defects (about 20 %). Among non-genetic anomalies, the prevalence per 10,000 births was the highest for hypospadias (about 18 %) and the lowest for bilateral renal agenesis (about 1 %). Prenatal diagnoses increased from about 17 % in the 1980s to approximately 70 % in the most recent period (2018-2020), whereas the proportion of early TOPFA <16 weeks of gestation increased from 0.4 % to 14 %. Infant mortality ranged from 0 % for transverse limb reduction defects to 86 % for hypoplastic left heart syndrome.

CONCLUSION

The overall prevalence of CAs was fairly stable in Paris from 1981 to 2020. Prenatal diagnoses substantially increased, accompanied by much smaller increases in TOPFA.