Primary Risk Factor Research Articles

Enhancing pressure ulcer prevention through optimized design of a multi-cellular foam mattress

Sustained mechanical loading on skeletal muscle tissue can lead to degeneration and cell damage over time, resulting in the development of pressure ulcers, particularly in hospital mattresses or for wheelchair-bound users. The primary risk factors for this damage are tissue ischemia caused by pressure in the contact area and tissue compressive strain. In this study, a multi-cell, multi-material foam mattress for the upper comfort layer was developed, with the aim of simultaneously minimizing soft tissue compressive strain and maximum surface pressure on the human buttocks zone. The levels of these factors were estimated using the finite element method (FEM). A multi-objective optimization (MOO) approach was employed, coupling the non-dominated sorting genetic algorithm (NSGA-II) with FEM. This algorithm helped determine the required compressive strength and the optimal cell configurations to achieve the desired outcomes. The majority of the optimal solutions exhibited contact pressures (Cpresss) below the recommended threshold to avoid local tissue ischemia. The optimized cellular material configurations resulted in soft tissue compressive strain of 12% and Cpress of 3.4 kPa, indicating longer safety times for supine support on the foam mattress without the need for repositioning. The optimization process utilized 5 softer foam materials out of the 9 firmness levels tested to achieve these results. The proposed multi-cell, multi-material foam mattress model shows promise for the prevention of pressure sores, as suggested by the optimization findings.

Association of urban environments with Atherosclerotic cardiovascular disease: A prospective cohort study in the UK Biobank

Urban environments and cardiovascular health are closely linked, yet only a few specific exposures have been explored in isolation and mostly adopting cross-sectional design. The influence of socioeconomic status and genetic predisposition also remains unclear. Hence, leveraging the UK Biobank data (n = 206,681), we conducted a prospective analysis of 213 urban environmental variables and their association with atherosclerotic cardiovascular disease (ASCVD). The ExWAS and regularized Cox models analyses highlighted air pollution, industrial sites, and complex street networks as primary environmental risk factors. Instead, land-use density of leisure, public services, infrastructure and residential, and drinking water hardness showed a negative association with ASCVD risk. By integrating sparse canonical correlation and mediation analyses, we found distinct urban environment patterns through diverse pathways influence ASCVD. The environment characterized by pollution and complex streets impact ASCVD through adverse mental health (mediation proportion:30.7 %, 95 % CI:22.4 %-44.0 %), while highly-developed community and high-water hardness environment via cardiometabolic status (22.6 %, 95 % CI:19.7 %-26.0 %). Further, we found low socioeconomic status amplifies disadvantaged urban environment effects on ASCVD, yet there were no similar findings for ASCVD genetic predisposition. This research deepened our understanding of city-cardiovascular health links and the role of socioeconomic status, with implications for urban planning and public health interventions.

Geometric Design Optimization of Speed Tables at Urban Arterials using UAV Assistance

One of the primary risk factors at junctions on urban roads is vehicle speed. To curb over-speeding and road crashes at intersections, traffic calming measures are introduced. Current research aims at studying the impact of different geometries of recently constructed speed tables on the operational speed over such intersections. Since these treatments have been often used to regulate speed in other countries, an evaluation of their efficacy in the Indian context was required. This study utilises 6,000 vehicle samples of four different vehicle classes (two-wheeler, three-wheeler, cars, and buses) from 12 speed tables in total. The speed and acceleration kinematics in addition to the high-quality trajectory data over long road segments were extracted from the video recordings of an Unmanned Aerial Vehicle (UAV). Multi-factor Response Surface Methodology (RSM) was utilized to optimize the geometric parameters (variables) of the speed tables to achieve the requisite operational speed (predictor) at the considered measure. The box plots are provided to indicate descriptives of the parameters regarding the 85th percentile speed. Multiple linear regression and ANOVA identified the variables that were significant and fit to devise the required optimization model. This study can help in identifying the influence zone, concerning physical characteristics of speed tables and their effect on the design speed at the approaches of intersections at urban arterials. The outcomes of the study will cater to enhance the current guidelines and standards in India regarding speed table geometry for urban road sections.

Pharmacogenetic features of tramadol metabolism affecting the quality of postoperative analgesia in vascular surgery

BACKGROUND: The issue of the efficacy and safety of medications employed for postoperative analgesia has not been resolved to date. Insufficient analgesia constitutes one of the primary risk factors for developing cardiovascular complications postoperatively. Tramadol is a medication that is frequently used for postoperative pain relief following minor and moderately traumatic operations. The biotransformation of this drug is considerably slowed by the presence of CYP2D6 gene polymorphisms G1846A and C100T, which play a significant role in its metabolism. In such patients, a decrease in the quality of postoperative analgesia can be anticipated, which will consequently lead to an increase in cardiac complications. AIM: To assess the efficacy of a postoperative analgesia regimen based on tramadol and the incidence of cardiac complications during vascular operations depending on the presence/absence of polymorphisms of the CYP2D6 gene polymorphisms, an isoenzyme of cytochrome P-450. MATERIALS AND METHODS: An examination of 109 patients undergoing planned vascular surgery was conducted. The frequency of occurrence of polymorphisms G1846A and C100T of the CYP2D6 gene was determined. All patients were assessed for the severity of postoperative pain syndrome during activity and at rest using a visual analog scale on the first day following surgery. Cardiovascular complications that arose while the patients were in the hospital were documented. To assess the autonomic nervous system, patients underwent cardiointervalography. RESULTS: Polymorphism G1846A was detected in 28 (25.7%), while C100T was detected in four (3.7%) patients. Patients without polymorphisms were included in group 1 (n=77). Patients with polymorphisms were assigned to group 2 (n=32). Pain syndrome at rest and during activity was higher in group 2 patients (p 0.05). The tension index before surgery did not differ between the groups; however, it was greater in group 2 patients after surgery (p 0.001). Cardiac complications were identified in 9.1% of group 1 and 18.8% of group 2 patients (p=0.20). CONCLUSION: The frequency of polymorphisms G1846A and C100T of the CYP2D6 gene in patients who underwent vascular surgery was 29.4%. Such patients experienced pain syndrome of greater severity. The patient groups did not exhibit any significant differences in the frequency of cardiac complications.

Analysis of Risk Factors for Multidrug-Resistant Organism (MDRO) Infections and Construction of a Risk Prediction Model in a Cancer Specialty Hospital.

Aims/Background Patients receiving treatment in specialized cancer hospitals are particularly susceptible to multidrug-resistant organisms (MDRO) infections due to factors such as weakened immune systems caused by intensive treatments and prolonged hospital stays. This study aims to investigate the risk factors for MDRO infections in the cancer specialty hospital setting and to develop a corresponding risk prediction model. Methods Patients diagnosed with MDRO infections were selected for the MDRO infection group (n = 238), and those without for the non-MDRO infection group (n = 238). Non-parametric tests, chi-square tests, and multivariate logistic regression analysis were used to identify the primary risk factors for MDRO infections. With the aid of analysis utilizing R software 4.4.1 (R Foundation for Statistical Computing, Vienna, Austria), we developed a nomogram prediction model, which was evaluated using the receiver operating characteristics (ROC) curve, calibration curve, and decision curve analysis (DCA). Results Age, antibiotic application time, and central venous catheterization were independent risk factors for MDRO infection (p < 0.05). The constructed nomogram prediction model for patients with MDRO infection has a C-index of 0.8640. The ROC curve results showed that the prediction model has a specificity of 0.7700, a sensitivity of 0.8800, and an area under the curve (AUC) of 0.8800. Conclusion This study identifies significant risk factors for MDRO infections in a cancer specialty hospital setting and offers a clinically useful prediction model, which may aid in targeted preventive measures and optimization of antibiotics usage, thereby potentially reducing the incidence and impact of these infections.

Risk factors for in-hospital mortality in older patients with acute respiratory distress syndrome due to COVID-19: a retrospective cohort study

BackgroundAdvancing age is associated with an increase in mortality among patients with acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19). This study aimed to determine risk factors for in-hospital mortality in patients over 60 years old with COVID-19-related ARDS (C-ARDS).MethodsThis was an observational, analytical, retrospective study conducted on a cohort that included all patients aged 60 years or older diagnosed with COVID-ARDSwho were admitted to a high-complexity hospital in Bogotá, Colombia, between March 2020 and July 2021.ResultsA total of 1563 patients were included in the analysis, with a median age of 73 years (interquartile range [IQR]: 67–80) and 811 deaths (51.8%). Independent risk factors for in-hospital mortality were identified as follows: patients aged 71–80 [OR 1.87 (95% CI 1.33–2.64)], age > 80 [OR 8.74 (95% CI 5.34–14.31)], lactate dehydrogenase (LDH) [OR 1.009 (95% CI 1.003–1.0015)], severe C-ARDS [OR 2.16 (95% CI 1.50–3.11)], use of invasive mechanical ventilation (IMV) [OR 12.94 (95% CI 9.52–17.60)], and use of steroids [OR 1.49 (95% CI 1.09–2.03)]. In patients over 80 years of age (n = 388), the primary risk factor associated with in-hospital mortality was the use of IMV (n = 76) [OR 6.26 (95% CI 2.67–14.69)], resulting in an in-hospital mortality rate of 89.4% (n = 68) when this therapy was implemented.ConclusionsThe primary risk factors for in-hospital mortality in patients older than 60 years were age, the use of IMV, the severity of C-ARDS, use of steroids and elevated LDH values. Among patients older than 80 years, the main risk factor for in-hospital mortality was the use of IMV. In cases of C-ARDS in older patients, the decision to initiate IMV should always be individualized; therefore, the use of alternative oxygen delivery systems as the first-line approach can be considered.

Amino acid is a major carbon source for hepatic lipogenesis

Increased de novo lipogenesis is a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD) in obesity, but the macronutrient carbon source for over half of hepatic fatty acid synthesis remains undetermined. Here, we discover that dietary protein, rather than carbohydrates or fat, is the primary nutritional risk factor for MASLD in humans. Consistently, exvivo tracing studies identify amino acids as a major carbon supplier for the tricarboxylic acid (TCA) cycle and lipogenesis in isolated mouse hepatocytes. Invivo, dietary amino acids are twice as efficient as glucose in fueling hepatic fatty acid synthesis. The onset of obesity further drives amino acids into fatty acid synthesis through reductive carboxylation, while genetic and chemical interventions that divert amino acid carbon away from lipogenesis alleviate hepatic steatosis. Finally, low-protein diets (LPDs) not only prevent body weight gain in obese mice but also reduce hepatic lipid accumulation and liver damage. Together, this study uncovers the significant role of amino acids in hepatic lipogenesis and suggests a previously unappreciated nutritional intervention target for MASLD.

Predictors of dental arch abnormalities in children with primary dentition (part two)

Relevance. Assessing the influence of risk factors during the primary dentition period on the development of dental arch abnormalities is essential for planning preventive and therapeutic interventions, as well as encouraging compliance with these measures. The first part of this article focused on identifying predictors of malocclusion, while this second part aims to determine the predictors of dental arch abnormalities.Purpose. To identify prognostic factors (predictors) of dental arch abnormalities in children during the primary dentition period.Materials and methods. This study presents the results of a retrospective analysis of the oral health status of 123 children (55 boys and 68 girls). The initial examination took place when the children were between 4.0 and 5.5 years old (mean age 5.1 ± 0.6 years), with follow-up examinations conducted between the ages of 6.0 and 10.5 years (mean age 8.7 ± 1.3 years). The relationship between risk factors in primary dentition and the development of dental arch abnormalities in early mixed dentition was evaluated using Pearson's chi-squared test (χ2) and Welch's t-test (V). For each pair of "primary dentition risk factor – dental arch abnormality in early mixed dentition," the odds ratio with a 95% confidence interval was calculated.Results. Differentiating predisposing factors and analyzing the effects of their various combinations allowed the identification of predictor clusters in primary dentition, where the probability of developing dental arch abnormalities in mixed dentition exceeds 95%. For upper arch abnormalities, the cluster includes infantile swallowing and early extraction of deciduous molars in the lower jaw (χ2 =19.67, V=0.50); for lower arch abnormalities, the cluster consists of infantile swallowing, "lazy" chewing, sucking habits, and a deep bite in the anterior region (χ2 =16.58, V=0.67); For lower incisor crowding, the cluster includes "lazy" chewing, infantile swallowing, and a deep bite in the anterior region (χ2 =17.54, V=0.63); for diastema in the upper arch, the cluster includes an abnormal labial frenum and interdental tongue position (χ2 =19.16, V=0.49); for maxillary anterior spacing, early extraction of deciduous canines in the upper jaw is the primary factor (χ2 =16.23, V=0.46).Conclusion. Identifying and addressing predictors of dental arch abnormalities in children during the primary dentition period can significantly reduce the risk of developing pathological conditions during the mixed dentition period.

Primary and residual cardiometabolic risk factors among young adults in a Russian city

BackgroundCardiovascular diseases are a leading cause of mortality and a significant contributor to temporary and permanent disabilities worldwide. This study aimed to investigate the burden of primary and residual cardiometabolic risk factors in a sample of young adults in the Russian city of Kazan.MethodsThis case-control study used the Cardiometabolic Disease Staging (CMDS) classification system, which has been validated in several countries. The study included 191 individuals aged 25–44 years who met the inclusion criteria but did not meet any exclusion criteria. Data collection involved a patient card with questions from the World Health Organization’s STEPS instrument, face-to-face patient interviews, and a physical examination. Anthropometric assessments included height, weight, and waist circumference measurements. Body composition was evaluated using bioelectrical impedance measurements. Patients also underwent in-depth laboratory biochemical analyses.ResultsThe study cohort was comprised of 97 females (50.8%) and 94 males (49.2%). The median age of participants was 35.00 years [IQR: 30.00–39.00]. The study cohort showed an increase in all anthropometric parameters, with abdominal obesity and overweight reaching 100% in the CMDS 3. Apart from atherogenic lipids and raised blood pressure, other risk factors that precipitate residual risk and were not part of CMDS, such as insulin levels, insulin resistance, leptin values, and hyperuricemia, increased as CMDS levels increased.ConclusionsThe prevalence of cardiometabolic risk factors was high in young adults in Kazan. This study highlights the need for the early identification and management of cardiometabolic risk factors in young adults to prevent the development of cardiovascular diseases later in life.

Insights into the Sex-Related Effects of Dietary Polyphenols and Metabolic Disruptors on Inflammatory and (Neuro) Endocrine Pathways in Obesity: The HEAL Project

Background: this study was performed under the umbrella of the Health Extended Alliance for Innovative Therapies, Advanced Lab Research, and Integrated Approaches of Precision Medicine (HEAL ITALIA) partnership and funded under the National Recovery and Resilience Plan, Mission 4 Component 2 Investment 1.3, and by the European Union. Objectives: the overall objective of the HEAL project is to identify innovative and effective therapeutic approaches to reduce disease burden. The present research falls within Spoke 7: Prevention Strategies: Integrated and gender medicine approaches for prevention strategies based on environmental, lifestyle, and clinical biometric data. Obesity represents a primary risk factor worldwide for the onset of numerous life-threatening diseases, including metabolic, cardiovascular, and neurological diseases. Environmental and gender-related factors influence obesity development. However, the molecular mechanisms underlying the effects of those agents on different organs of the human body are not fully understood yet. Methods: here, we present a study protocol aimed at shedding light on (i) the complex interplays among adipose tissue, brain and gut in obesity, and (ii) the effects of specific dietary components and environmental metabolism-disrupting compounds on those interactions. To this purpose, we combined ex vivo, in vitro, and in vivo approaches to gain additional knowledge about the molecular mechanisms underlying connections between organs. Conclusions: the data provided by this study will contribute to defining new targets for therapeutic and/or preventive interventions, thereby allowing more personalized approaches to nutrition.

A Comprehensive Protocol for Microbead-Induced Ocular Hypertension in Mice.

Glaucoma is a common optic neuropathy characterized by degeneration of retinal ganglion cells (RGCs). Elevated intraocular pressure (IOP), that is, ocular hypertension, is the primary modifiable risk factor for glaucoma and the primary characteristic of most preclinical glaucoma models. Extensive genotype and phenotype diversity at relatively low cost and high accessibility makes laboratory mice an excellent preclinical model for glaucoma. The microbead occlusion model was introduced in 2010 as an inducible model of ocular hypertension in mice and is now one of the most extensively utilized models of rodent glaucoma. Subsequent modifications of the microbead model increased the magnitude and duration of IOP elevation, primarily through modification of injection materials. Despite its popularity, accessibility of the model is hindered by procedural consistency between users. Here we outline an updated and comprehensive protocol for execution of the microbead model that is focused on improving surgical and outcome measure consistency and on enabling single experimenter execution.

Current status of modifiable risk factors for cardiovascular disease in Korean women.

Hypertension, diabetes mellitus, dyslipidemia, obesity, and smoking are the primary modifiable risk factors contributing to the increasing morbidity and mortality rates from cardiovascular disease (CVD) among Korean women. Significant sex-related differences exist in the prevalence, awareness, treatment, and control of these risk factors, highlighting the importance of age- and sex-specific approaches to the management and prevention of CVD. Notably, the prevalence of hypertension and diabetes mellitus increases with age, with a higher prevalence in elderly women compared to men. Dyslipidemia and obesity are also trending upward, particularly in postmenopausal women, highlighting the impact of menopause on cardiovascular risk. The present review advocates for improved diagnostic, therapeutic, and educational efforts to mitigate the risk of CVD among Korean women, with the goals of reducing the overall burden of the disease and promoting better cardiovascular health outcomes.

Central Venous Catheter Migration Into Pleura Diagnosed by Transesophageal Echocardiography.

Central venous catheter (CVC) tip migration is a well reported delayed complication of these vascular access devices with left-sided internal jugular or subclavian vein placement being the primary risk factor for this complication. We report a case of left internal jugular CVC migration and its diagnosis made by the heretofore unreported use of intraoperative transesophageal echocardiography in this context. Moreover, we describe risk factors for CVC migration along with its diagnosis and management.

Risk Factors Associated with Gastritis among Adult Patients Attending at Capital Hospital in Mogadishu- Somalia

Background: Gastritis, an inflammatory disorder affecting the lining of the stomach, is a prevalent health concern across the globe, particularly in developing regions like Somalia. This study aims to investigate the primary risk factors linked to gastritis among adults receiving care at Capital Hospital in Mogadishu.  Methods: An unmatched case-control study was executed from June 1 to July 30, 2024, involving 63 adult participants, with 21 patients diagnosed with gastritis through endoscopic procedures and 42 controls. A semi- structured questionnaire was employed to gather data on socio-demographic characteristics, dietary patterns, lifestyle habits, medical histories, and medication usage. Statistical analysis was performed using SPSS version 26.  Results: The investigation revealed a gastritis prevalence of 78.8%, with acute cases constituting 48.9% and chronic cases 29.9%. Female participants were identified as having a protective effect against gastritis (Adjusted Odds Ratio [AOR]=0.05, p=0.023), whereas the routine use of non-steroidal anti-inflammatory drugs (NSAIDs) significantly raised the risk (Crude Odds Ratio [COR]=5.03, p=0.041). Interestingly, the presence of Helicobacter pylori was associated with a reduced risk of developing gastritis (COR=0.11, p=0.032). Other lifestyle and dietary factors did not show significant correlations.  Conclusions: The results underscore the protective influence of gender and the associated risks of NSAID intake regarding gastritis among Somali adults. The unexpected finding of H. pylori infection linked to lower gastritis risk deserves further exploration. There is an urgent need for targeted public health strategies to address the effects of gastritis in Somalia.

Warmer Temperatures Are More Predictive Than Solar Radiation for the Number of Skin Cancer Removal Procedures.

Solar radiation is the primary risk factor for skin cancer, with personal exposure influenced by environmental and behavioral factors. At higher temperatures, behavioral changes increase solar radiation exposure. Examine the relationships between solar radiation, ambient temperature, age, and skin cancer. For the contiguous United States, we obtained the state mean global horizontal irradiance (GHI), daily maximum temperature, and number of skin cancer removals in the Medicare population. For skin cancer removals, we defined more sun-exposed skin as the head, neck, hands, and feet, and less sun-exposed skin as the trunk, arms, and legs. By comparing the temperature thresholds 17°C, 20°C, 24°C, 27°C, 31°C, and 34°C, we found that the annual number of days above 24°C was the strongest temperature-related predictor of skin cancer removals. Multivariable linear regression showed that the number of days above 24°C predicted more skin cancer removals for all body locations and less sun-exposed skin (p = 0.008 and p = 0.003, respectively), while GHI did not (p = 0.1 and p = 0.8, respectively). GHI only predicted more skin cancer removals for more sun-exposed skin (p = 0.02). More days above 24°C was a better predictor of skin cancer removals than GHI for all skin locations and less sun-exposed skin, suggesting that the behavioral changes occurring at warmer temperatures are more predictive of skin cancer removals than solar irradiance. Due to rising global temperatures, skin cancer incidence may further increase. Temperature-related behavioral changes represent a potential target for skin cancer prevention efforts.

Do Personalized Nutrition Interventions Improve Dietary Intake and Risk Factors in Adults With Elevated Cardiovascular Disease Risk Factors? A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Dietary modifications can improve cardiovascular disease (CVD) risk factors. Personalized nutrition (PN) refers to individualized nutrition care based on genetic, phenotypic, medical, behavioral, and/or lifestyle characteristics. PN may be beneficial in improving CVD risk factors, including diet. However, this has not been reviewed previously. The aim was to evaluate the effectiveness of PN interventions on CVD risk factors and diet in adults at elevated CVD risk. Six databases were searched for randomized controlled trials published between 2000 and 2023 that tested the impact of PN interventions on CVD risk factors in people at elevated risk. Risk of bias was assessed using the Academy of Nutrition and Dietetics Quality Criteria checklist. Data synthesis of eligible articles included participant characteristics, intervention details, and change in primary CVD risk factor outcomes, including blood pressure (BP), plasma lipids, and CVD risk score, and secondary risk factors, including anthropometric outcomes and diet quality. Random-effects meta-analyses were conducted to explore weighted mean differences (WMDs) in change or final mean values for studies with comparable data (studies with dietary counseling interventions) for outcomes including BP, blood lipids, and anthropometric measurements. Of 7676 identified articles, 16 articles representing 15 studies met the inclusion criteria. Studies included between 40 and 563 participants and reported outcomes for CVD risk factors, including hyperlipidemia (n = 5), elevated BP (n = 3), overweight/obesity (n = 1), and multiple risk factors (n = 6). Risk of bias was low. Results suggested potential benefit of PN on systolic BP (WMD: -1.91; 95% CI: -3.51, -0.31 mmHg) and diastolic BP (WMD: -1.49; 95% CI: -2.39, -0.58 mmHg) and dietary intake in individuals at high CVD risk. Results were inconsistent for plasma lipid and anthropometric outcomes. Results were promising for PN interventions that used dietary counseling on CVD risk factors in at-risk individuals. However, further evidence for other personalization methods is required, including improving methodological quality and longer study duration in future PN interventions. OpenScience Framework (https://doi.org/10.17605/OSF.IO/SHVWP).

Independent and interactive effects of particulate matter and meteorological factors on hand, foot and mouth disease in Fuyang.

Previous research has demonstrated the influence of environmental factor on the occurrence of infectious diseases. However, there is insufficient and conflicting evidence regarding the association between Hand, foot and mouth disease (HFMD) and environmental variables, particularly the interaction of environmental variables. This study aims to investigate the individual and interactive effects of particulate matter (PM) and meteorological factors on HFMD incidence in Fuyang. The generalized additive models were combined with distributed lag non-linear models to assess the individual effects between PM and meteorological factor on HFMD incidence in Fuyang. Subsequently, a product term was incorporated into the model to investigate the interaction between PM and meteorological factors. Temperature and PM2.5 were identified as the two primary risk factors for HFMD, with relative risks (RR) of 1.586(1.493,1.685) and 1.349(1.325,1.373), respectively. Furthermore, PM exhibited a synergistic effect with meteorological factors. For instance, the RR values for PM2.5 in relation to HFMD were 1.029 (95% CI: 1.024-1.035) and 1 0.117 (95% CI: 1 0.108 - 11 0.127) under different temperature group categories. Notably, HFMD predominantly affects children under the age of five years old and infants aged between zero to one year old demonstrate heightened susceptibility to environmental variables. The results showed that both PM and meteorological factors were risk factors for HFMD, with evidence of an interaction between these variables. These findings have important implications for local HFMD incidence prediction and the development of effective prevention strategies.

Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries

Background Tuberculosis (TB) remains one of the top infectious killers in the world and a prominent fatal disease in developing countries. This study proposes a prototypical solution to early prevention of TB based on its primary symptoms, signs, and risk factors, implemented by means of machine learning (ML) predictive algorithms. Further novelty of the study lies in the uniqueness of patient dataset collected from three top-ranked hospitals of Sindh, Pakistan, via a self-administered survey patient-records that comprises a set of questions asked by the doctors treating TB patients in real-time. A total of 1,200 survey patient-records were evenly distributed among all three hospitals, viz. ICT Kotri, LUMHS Jamshoro, and Civil Hospital Hyderabad. Methods To develop the required prototypes, the research made use of five distinct benchmark ML algorithms: decision tree (DT), Gaussian naive Bayes (GNB), logistic regression classifier (LRC), adaptive boosting (AdaBoost), and neural network (NN), whose performance was evaluated by considering various performance metrics, i.e., accuracy, precision, recall, F1 score, and confusion matrix. Results The experimental results, graphically visualized and systematically discoursed, demonstrate that early detection of TB classifiers, including DT, GNB, LRC, AdaBoost, and NN, attained accuracy rates of 92.11%, 89.04%, 90.35%, 93.42%, and 92.98%, respectively. These results indicate effective diagnosis of TB disease by each implemented ML algorithm.

Streptococcus suis-Associated Meningitis in a Southern Region of Vietnam.

Streptococcus suis is the most common and severe cause of meningitis in Vietnam, but the recent data about epidemiological characteristics and sequelae are still inadequate. We performed a retrospective study to describe the epidemiology, clinical characteristics, and outcomes of patients with S. suis-associated meningitis. A retrospective study was carried out by searching records from the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam, between January 2016 and January 2020. All data concerning epidemiological, clinical, and subclinical characteristics and treatment results were collected and analyzed. Over the study period, 153 cases were included in this study, with 95 cases occurring in the 2016-2017 period. The median age of all patients was 52 years (range, 29-90 years), and 70.6% of patients were male. Fifty-two patients (34%) were farmers, and the Mekong Delta was the region with the highest number of cases (60.1%). The most frequent manifestation of infection was fever (151/153, 98.7%), followed by hearing loss (64/153, 41.8%), and one patient (0.7%) died. All isolates remained susceptible to ceftriaxone, penicillin, vancomycin, and levofloxacin, whereas 99.2% of isolates were resistant to tetracycline. Occupational exposure to pigs and the consumption of contaminated food have been identified as primary risk factors associated with this zoonosis, and our study found no significant changes in epidemiological factors compared with past data. The Mekong Delta continues to be the most affected region for S. suis meningitis in southern Vietnam, with S. suis serotype 2 remaining the most relevant agent.

The Role of Nutrition in the Nursing Management of Pressure Ulcers in Adult Community Settings: A Systematic Review Protocol.

The aging population drives a growing demand for care, particularly in Europe. It is estimated that approximately 1.5-2 million individuals have a chronic wound. Among these, pressure ulcers (PUs) are one of the most prevalent complications in vulnerable individuals. Malnutrition is a primary risk factor, yet it can be mitigated through proper nutrition and adequate community support. The community nurse plays a crucial role in managing chronic conditions and nutrition through constant and professional monitoring. This article presents a comprehensive systematic review (SR) protocol to examine the role of community nursing of nutritional intervention of frail population with wound care. A SR will be conducted according to international standards and reported following the PRISMA Guidelines for SRs. The search will be conducted in PubMed/Medline, Scopus, Embase, and CINAHL, supplemented by grey literature sources. The methodological quality and risk of bias will be assessed using the Critical Appraisal Skills Programme (CASP) framework. The protocol has been registered in the Open Science Framework (OSF). It is anticipated that the findings of this SR will provide new evidence on the relationships between nutritional nursing interventions and wound care management primarily in the community setting.