Healthy dietary patterns linked to Brazilian adolescents' school meal adherence.

OBJECTIVE: This study aimed to verify the association between adherence to school meals provided by the National School Feeding Program and dietary patterns in adolescents from Brazilian public schools. METHODS: Data from the 2019 National School Health Survey were used, with a nationally representative sample of Brazilian school adolescents (n=53,477; 13-17 years old). Food consumption of healthy and unhealthy food markers was obtained from a food consumption questionnaire. Regular consumption was considered ≥5 times/week. Latent class analysis was used to identify dietary patterns whose association with adherence to school meals was evaluated by multinomial logistic regression models, with adjustment for sociodemographic and eating behavior variables. RESULTS: Three dietary patterns were identified: "unhealthy" - higher consumption of soft drinks and sweets (9.2% of adolescents); "healthy" - higher consumption of beans, vegetables, and fruits (27.1%); and "monotonous" - higher consumption of beans (63.7%). High adherence to school meals (every day) and unsatisfactory adherence (1-4 times/week) were positively associated with the healthy pattern even after adjustment for possible potential confounders (OR 1.37, 95%CI 1.23-1.52; OR 1.20, 95%CI 1.10-1.30, respectively). CONCLUSION: The results showed that the consumption of school meals offered by the National School Feeding Program can contribute to healthy eating habits among Brazilian adolescents.

Novel characterisation of sheep flocks in Wales: A description of principal flock typologies and antimicrobial use patterns.

There is increasing pressure to reduce and refine antimicrobial use (AMU) in farmed livestock, to slow the development of antimicrobial resistance (AMR) and preserve the efficacy of antimicrobials (AMs) in both humans and animals. Developing strategies to help drive the prudent use of AMs requires an understanding of the direct and indirect factors influencing the between-farm variation in AMU typically observed. Given limited evidence of risk factors in sheep, this exploratory study aimed to investigate whether sheep flocks could be classified into farm types based on farm characteristics, health parameters and management practices, and whether important differences existed in AMU between these flock types. This study was conducted on 22 sheep flocks in Wales, United Kingdom as part of a wider longitudinal study on AMU and AMR. Comprehensive surveys were administered to flocks where 147 variables regarding farm characteristics, flock health parameters and management practices were captured. AMU data for each flock were also collated. A Multiple Correspondence Analysis (MCA), followed by a Hierarchical Clustering on Principal Components (HCPC) analysis, were used to classify the flocks. The top 10 dimensions yielded by MCA explained 67.4 % of the total variance. Nine partitions of relatively homogeneous flocks, derived from three typologies produced from the first three cut-points of the HCPC dendrogram, were visualised and described. These nine partitions were characterised by 70 variable categories, principally the implementation or neglect of best-practice lameness management practices. Partitions of flocks that neglected best-practice lameness managements - characterised by delayed treatments of lame sheep, footbathing and bleeding when foot trimming - reported higher lameness prevalence and fewer lame ewes recovering within five days of treatment. These flocks had higher total AMU (mg/PCU) and used a higher mass of injectable AMs than other partitions of flocks. Flock traits, lambing practices, disease challenges and other management factors also described partitions derived in later dendrogram cuts. Findings from this study confirm good AM stewardship in sheep flocks to be a complex picture, given the typologies of flocks described and the range of factors likely to influence AMU. Opportunities for targeted strategies for sustainable reductions in AMU can be directed towards specific flock types identified, specifically within the context of lameness treatment and control. We highlight the importance of understanding flock heterogeneity, through the construction of typologies, as a means to fine-tune appropriate interventions to specific flock types in order to help drive more prudent use of AMs.

What does it take for healthy food retail programmes to be successful? Lessons learned in New York City.

OBJECTIVE: Healthy food retail programmes (HFRP) in the USA generally aim to increase healthy foods access to improve diet quality and health, yet the impact is mixed. These programmes primarily target adults, even though adolescents frequently and independently visit stores to purchase snacks. This study's aims are to explore successes and challenges of implementing HFRP (Aim 1) and examine how HFRP can be tailored to adolescents (Aim 2). DESIGN: One-time, virtual, semi-structured interviews with individuals who were involved in a HFRP, followed by a socio-demographic characteristics survey. Interviews were designed based on the RE-AIM framework and the Hexagon Tool and analysed using Braun and Clark's (2006) thematic analysis approach. Descriptive statistics were used to summarise participants' socio-demographic characteristics. SETTING: New York City (NYC). PARTICIPANTS: Adults (18 years or older) who have designed, implemented and/or evaluated an HFRP in NYC and speak/understand English (n 21). RESULTS: Aim 1: For successes, strategies to build relationships with the community were most discussed. Regarding challenges, securing reliable funding was the hardest to overcome. Suggested solutions included designing profitable HFRP, targeting shortcomings in food distribution systems and increasing consumer demand. Aim 2: Most participants had not considered adolescents in previous HFRP but suggested involving youth in developing HFRP to encourage youth-driven solutions and promote youth advocacy. CONCLUSIONS: Future HFRP should focus on activities that help store owners purchase affordable healthy foods from distributors, which translates to affordability for customers. Federal and local policies can assist by funding complementary programmes. Additionally, adolescents should be considered in these efforts.

Consumer food environments change over a 5-year period.

OBJECTIVE: Evaluate the 5-year changes in the consumers' food environment in the area of a health promotion service in Brazilian primary health care. Our hypothesis is that the consumers' food environment in the areas with primary healthcare services has changes that may favour healthy eating habits over time. DESIGN: Longitudinal study. SETTING: The territory around the primary healthcare services in Belo Horizonte, Minas Gerais, Brazil. PARTICIPANTS: All food stores and open-air food markets that sell fruits and vegetables around the primary healthcare services in 2013 (n 272) and in 2018 (n 265). RESULTS: Fruit diversity increased by 13·4 % (P < 0·001) and vegetables variety and quality by 16·1 % (P = 0·003) and 12·5 % (P < 0·001), respectively. Corn snacks showed an increase in availability (13·5 %; P = 0·002). The increase in advertising was observed for fruits and vegetables (34·6 %; P < 0·001) and ultra-processed foods (47·6 %; P < 0·001). Supermarkets showed an increase in the Healthy Food Store Index (three points; P < 0·001), while fruits and vegetables stores showed a decrease of one point in the index (P < 0·001). CONCLUSIONS: The unequal changes in the consumers' food environment according to the food stores types demonstrate the importance of food supply policies that promote a healthy environment and favour the maintenance of traditional healthy food retailers.

Adherence to the EAT-Lancet sustainable diet and ultra-processed food consumption: findings from a nationwide population-based study in Brazil.

OBJECTIVE: To evaluate the association between ultra-processed food consumption and adherence to the EAT-Lancet diet in a representative sample of the Brazilian population. DESIGN: The study used data from the Brazilian National Dietary Survey 2017-2018 and employed linear regression models to evaluate the association between ultra-processed food consumption and adherence to the EAT-Lancet diet, as measured by the Nova food system and Planetary Health Diet Index (PHDI), respectively. SETTING: Nationally representative sample of the Brazilian population. PARTICIPANTS: The study included 46 164 Brazilians ≥ 10 years old. RESULTS: The average PHDI total score was 45·9 points (95 % CI 45·6, 46·1). The ultra-processed food consumption was, with dose-response, inversely associated with the adherence to the EAT-Lancet diet. The PHDI total score was 5·38 points lower (95 % CI -6·01, -4·75) in individuals in the highest quintile of consumption of ultra-processed foods, as compared to those in the first quintile. The PHDI score was also inversely associated with the share of processed culinary ingredients and processed foods and positively associated with the share of unprocessed or minimally processed foods. CONCLUSIONS: Our study showed an inverse relationship between the consumption of ultra-processed foods and the adherence to a healthy and sustainable diet.

The impact of food aid interventions on food insecurity, diet quality and mental health in households with children in high-income countries: a systematic review.

OBJECTIVE: Households with children accessing food aid in high-income countries are often food insecure. We aimed to review the evidence on food aid interventions in households with children and impact on food insecurity, diet quality and mental health. DESIGN: A systematic search was conducted using Web of Science, MEDLINE, CINAHL and PsycINFO. Articles published from January 2008 to July 2022 including cross-sectional, cohort and interventional studies in high-income countries were eligible. SETTING: Food aid is defined as the use of interventions providing free food items by community and/or charitable organisations. PARTICIPANTS: Two-parent, lone parent or households with a primary caregiver with at least one child ≤ 18 years. RESULTS: From a total of 10 394 articles, nine were included. Food banks, mobile pantry combined with a free meal for children, backpack provision during school term and food parcel home delivery interventions were evaluated. Food bank models offering additional support such as community programmes, health and social services, cooking classes and free meals for children, client-choice-based models and programmes providing convenient access were associated with improved food security and diet quality (increased intake of wholegrains, fruit and vegetables). One study reported an improvement in mental health and food bank access at the end of 18 months but not at earlier timepoints and one study reported no change in parents' mental health. CONCLUSIONS: Accessing food aid was linked to improved diet quality and reduced food insecurity in some studies. Allowing clients to choose food items and providing support services were most effective.

Development of the Local Food Systems Policy Index (Local Food-EPI+) tool and assessment process to benchmark the implementation of local government policies for creating healthy, equitable and environmentally sustainable food systems.

OBJECTIVE: Local governments have an important role to play in creating healthy, equitable and environmentally sustainable food systems. This study aimed to develop and pilot a tool and process for local governments in Australia to benchmark their policies for creating healthy, equitable and environmentally sustainable food systems. DESIGN: The Healthy Food Environment Policy Index (Food-EPI), developed in 2013 for national governments, was tailored to develop the Local Food Systems Policy Index (Local Food-EPI+) tool for local governments. To incorporate environmental sustainability and the local government context, this process involved a literature review and collaboration with an international and domestic expert advisory committee (n 35) and local government officials. SETTING: Local governments. RESULTS: The tool consists of sixty-one indicators across ten food policy domains (weighted based on relative importance): leadership; governance; funding and resources; monitoring and intelligence; food production and supply chain; food promotion; food provision and retail in public facilities and spaces; supermarkets and food sources in the community; food waste reuse, redistribution and reduction; and support for communities. Pilot implementation of the tool in one local government demonstrated that the assessment process was feasible and likely to be helpful in guiding policy implementation. CONCLUSION: The Local Food-EPI+ tool and assessment process offer a comprehensive mechanism to assist local governments in benchmarking their actions to improve the healthiness, equity and environmental sustainability of food systems and prioritise action areas. Broad use of this tool will identify and promote leading practices, increase accountability for action and build capacity and collaborations.

The EAT-Lancet diet associated cardiovascular health parameters: evidence from a Brazilian study.

BACKGROUND: The EAT-Lancet diet is a diet aimed at promoting population and planetary health from the perspective of sustainable diets in terms of environmental and health aspects. This study aimed to assess the association between adherence to the EAT-Lancet diet and cardiometabolic risk factors among adults and elderly individuals in a capital city in the northeastern region of Brazil. METHODS: This is an analytical cross-sectional observational study from a population-based sample conducted between 2019 and 2020, involving 398 non-institutionalized adults and elderly people, of both sexes from "Brazilian Usual Consumption Assessment" study (Brazuca-Natal). There was a 38% response rate due to the suspension of data collection due to the covid-19 pandemic, but According to the comparative analysis of socioeconomic and demographic variables between the surveyed and non-surveyed sectors, losses were found to be random (p = 0.135, Little's MCAR test). Socioeconomic and lifestyle data, anthropometric measurements, and dietary consumption were collected. We used the Planetary Health Diet Index (PHDI) and the Cardiovascular Health Diet Index (CHDI) for cardiovascular health to assess adherence to the diet's sustainability. The evaluated cardiometabolic parameters included fasting blood glucose, triglycerides, total cholesterol, HDL-C, LDL-C, and systolic and diastolic blood pressure measurements. We also assessed the presence of type 2 diabetes mellitus, arterial hypertension, and dyslipidemia. For the data analyses, sample weights and the effect of the study design were taken into account. Pearson's chi-square test was used to evaluate the statistical significance of frequencies. Multiple linear regression models assessed the associations between PHDI and CHDI and its components and the cardiometabolic parameters. RESULTS: The mean PHDI was 29.4 (95% CI 28.04:30.81), on a total score ranging from 0 to 150 points and the mean CHDI was 32.63 (95% CI 31.50:33.78), on a total score ranging from 0 to 110 points. PHDI showed a significant positive association with the final CHDI score and components of fruits, vegetables, and legumes, and a negative association with Ultra-processed Food (UPF) (p < 0.05). Notably, among the most consumed UPF, the following stand out: "packaged snacks, shoestring potatoes, and crackers" (16.94%), followed by margarine (14.14%). The PHDI exhibited a significant association with diabetes and dyslipidemia, as well as with systolic blood pressure, total cholesterol, and LDL-C. CONCLUSIONS: The results suggest that adopting the EAT-Lancet diet is associated with the improvement of key cardiovascular health indicators.

A multi-dimensional Sustainable Diet Index (SDI) for Ghanaian adults under transition: the RODAM Study.

BACKGROUND: The sustainability of diets consumed by African populations under socio-economic transition remains to be determined. This study developed and characterized a multi-dimensional Sustainable Diet Index (SDI) reflecting healthfulness, climate-friendliness, sociocultural benefits, and financial affordability using individual-level data of adults in rural and urban Ghana and Ghanaian migrants in Europe to identify the role of living environment in dietary sustainability. METHODS: We used cross-sectional data from the multi-centre Research on Obesity and Diabetes among African Migrants Study (N = 3169; age range: 25-70 years). For the SDI construct (0-16 score points), we used the Diet Quality Index-International, food-related greenhouse gas emission, the ratio of natural to processed foods, and the proportion of food expenditure from income. In linear regression analyses, we estimated the adjusted ß-coefficients and 95% confidence intervals (CIs) for the differences in mean SDI across study sites (using rural Ghana as a reference), accounting for sociodemographic and lifestyle factors. RESULTS: The overall mean SDI was 8.0 (95% CI: 7.9, 8.1). Participants in the highest SDI-quintile compared to lower quintiles were older, more often women, non-smokers, and alcohol abstainers. The highest mean SDI was seen in London (9.1; 95% CI: 8.9, 9.3), followed by rural Ghana (8.2; 95% CI: 8.0, 8.3), Amsterdam (7.9; 95% CI: 7.7, 8.1), Berlin (7.8; 95% CI: 7.6, 8.0), and urban Ghana (7.7; 95% CI: 7.5, 7.8). Compared to rural Ghana, the differences between study sites were attenuated after accounting for age, gender and energy intake. No further changes were observed after adjustment for lifestyle factors. CONCLUSION: The multi-dimensional SDI describes four dimensions of dietary sustainability in this Ghanaian population. Our findings suggest that living in Europe improved dietary sustainability, but the opposite seems true for urbanization in Ghana.

Food choice, embodied knowledge and circumscribed agency: factors influencing adolescent girls' and boys' dietary practices in three states in northern Nigeria.

OBJECTIVE: The objective of this study was to explore adolescent dietary practices, related norms and acceptable communication platforms in northern Nigeria to inform future nutrition project design. DESIGN: This was a qualitative formative research study. We used purposive sampling and conducted thirty focus group discussions with male and female adolescents aged 10-14 and 15-19 years (n 180) and six with adult influencers (n 36). We also administered a 24-h dietary recall with the adolescents using the Diet Quality Questionnaire. SETTING: The study was conducted in urban and rural areas in three states in northern Nigeria. RESULTS: Adolescents reported consuming six nutritious food groups the previous day on average. However, there was a wide disparity and only half consumed all five recommended food groups. Adolescents' food choices were influenced by perceptions of the functional and physical benefits of nutritious foods and preferences for satisfying foods. Diverse foods were available in the food environment, but affordability constrained access to nutritious foods. Limited access to income and gender norms constrained adolescent agency over food choice. Girls, particularly those who were pregnant, had less agency related to food than boys. Adolescents thought that peers should be reached through group discussions, radio and phones, among other communication platforms. CONCLUSIONS: Adolescents consumed relatively diverse diets. Adolescent food choice was influenced by their embodied experience and knowledge related to nutrition and taste, home food environment and circumscribed agency. Opportunities exist to support healthy diets for adolescents by strengthening adolescents' embodied knowledge, food environments and social support.

Focus on leveling the hidden: managing impacted maxillary canines.

INTRODUCTION: The long pathway that the canines take as they emerge into the maxillary arch makes them vulnerable to disruption during their natural emergence time. The process of planning treatment for impacted maxillary canine (IMC) presents significant challenges, underscoring the need for careful consideration and expertise. OBJECTIVE: The aim of this article was to shed light on these complexities by discussing clinical case studies involving IMC, providing insights into the intricacies of their management. CONCLUSIONS: The management of IMC within orthodontics presents a multifaceted challenge that include the necessity for precise diagnostic processes, prudent use of cone beam computed tomography (CBCT), the strategic selection between open and closed exposure techniques, a in-depth understanding of the specific orthodontic biomechanics involved, and a keen awareness of potential adverse outcomes such as ankylosis, prolonged treatment times, root resorption, and additional complications.

Carriage and antimicrobial susceptibility patterns of rectal ESBL E. coli in surgical patients at the University Teaching Hospitals in Lusaka, Zambia.

Background: Surgical site infections (SSIs) are on the rise and are a global concern as they complicate the recovery of patients postoperatively. Bacterial colonization of the patient's skin and alimentary tract are known to be major contributing sources to SSIs. However, Zambia lacks data relating to carriage rates of antibiotic-resistant rectal Escherichia coli among surgical patients. Methods: This was a cross-sectional study aimed at determining the preoperative (preop) and postoperative (postop) carriage and antimicrobial susceptibility patterns of rectal ESBL-producing E. coli (ESBL-Ec) in elective surgery patients at the highest tertiary hospital in Lusaka, Zambia. Phenotypic methods were used in the identification of E. coli. Antibiotic susceptibility patterns and identification of ESBL-Ec was determined by Kirby-Bauer disc diffusion. Results: A total of 120 study participants were recruited, of which 75 were followed up at least 72 h after surgery. From 195 rectal swabs cultured, 177 (90.8%) were positive for E. coli, of which 53 (29.9%) were ESBL-Ec, with a significantly (P < 0.0001) higher proportion in postop (47.9%) than preop (17.3%) participants. Overall, ESBL-Ec isolates showed higher resistance in postop than preop to cefotaxime (100% versus 88.9%, respectively), ampicillin (100% versus 94.4%), ciprofloxacin (88.3% versus 83.3%), amoxicillin/clavulanic acid (80% versus 66.7%) and cefepime (80% versus 77.8%). MDR ESBL-Ec strains were more frequent in postop than in preop participants (91.4% versus 88.9%). Conclusions: The study showed a significantly higher rate of antimicrobial-resistant rectal E. coli in postop than preop participants. There is a need to ascertain the source of the resistance and to institute robust infection control measures, preop screening of surgical patients for ESBL-Ec, and to raise awareness on prudent use of antibiotics.

Epidemiological Profile and Awareness Regarding Animal Bite Management in an Urban Area.

OBJECTIVES: The most common way for people to contract the deadly zoonotic disease rabies is through animal bites. This study was designed because there is a shortage of community-based data to determine the true extent of rabies infection and a lack of understanding regarding patient misconceptions in urban areas. The objective was to determine the scope of the issue and the epidemiological features of animal bite incidents. METHODOLOGY: This was a facility-based cross-sectional study conducted at the field practice area (Urban Health Training Centre) under the Department of Community Medicine, Government Medical College. The study duration was one year (May 2023 to April 2024). Consecutive patients (accompanied by an attendant) attending the Urban Health Training Centre were included in the study. A purposive sampling technique was used, and around 400 animal bite cases were recorded in one year at the Urban Health Training Centre. RESULTS: Out of 1503 male cases at the Urban Health Training Centre, around 255 were dog bite cases (50.6%), whereas out of 1302 females visiting the Urban Health Training Centre, around 145 were dog bite cases (48%). The majority (35%) belonged to the age group of 11 to 20 years for both males and females. The mean age of the cases was 19.4 ± 3.4 years. The study found a male preponderance (64%), with females constituting 36%. The right lower limb (49.5%), left lower limb (39%), and upper limb were the most frequently bitten sites. Fifty-one percent of the cases fell into Category II. According to local data, the most popular home management practices were ghee oil and cold treatments. Although Category III is the most severe bite, only 35% had taken the anti-rabies vaccine (ARV), and 8.75% had received rabies immunoglobulin. CONCLUSION: The public and medical community need to be made aware of the importance of wound care and the prudent use of the anti-rabies vaccine.

Based on Medicine, The Now and Future of Large Language Models.

Objectives: This review explores the potential applications of large language models (LLMs) such as ChatGPT, GPT-3.5, and GPT-4 in the medical field, aiming to encourage their prudent use, provide professional support, and develop accessible medical AI tools that adhere to healthcare standards. Methods: This paper examines the impact of technologies such as OpenAI's Generative Pre-trained Transformers (GPT) series, including GPT-3.5 and GPT-4, and other large language models (LLMs) in medical education, scientific research, clinical practice, and nursing. Specifically, it includes supporting curriculum design, acting as personalized learning assistants, creating standardized simulated patient scenarios in education; assisting with writing papers, data analysis, and optimizing experimental designs in scientific research; aiding in medical imaging analysis, decision-making, patient education, and communication in clinical practice; and reducing repetitive tasks, promoting personalized care and self-care, providing psychological support, and enhancing management efficiency in nursing. Results: LLMs, including ChatGPT, have demonstrated significant potential and effectiveness in the aforementioned areas, yet their deployment in healthcare settings is fraught with ethical complexities, potential lack of empathy, and risks of biased responses. Conclusion: Despite these challenges, significant medical advancements can be expected through the proper use of LLMs and appropriate policy guidance. Future research should focus on overcoming these barriers to ensure the effective and ethical application of LLMs in the medical field.

Implementation of an Algorithm for Testing, Diagnosis, and Antibiotic Stewardship of Asymptomatic Bacteriuria in Pregnancy.

BACKGROUND: Asymptomatic bacteriuria (ASB) affects 2-15% of pregnant women, with 20-40% developing symptoms later. Symptomatic urinary tract infections (UTIs) are more common in pregnancy, with a prevalence of 33%, posing risks like preterm delivery, low birth weight, and maternal pyelonephritis. The gold standard for UTI detection is a urine culture, but point-of-care urinalysis dipsticks are frequently performed as screens during regular obstetric visits. Leukocyte esterase has been used to justify treatment in the asymptomatic, even with low sensitivity and specificity. Confirmatory tests are crucial to avoid false positives and ensure optimal outcomes. Current guidelines for urinalysis dipstick interpretation and the decision to treat ASB in pregnancy are limited. It remains unclear if an evidence-based algorithm can improve test utilization, diagnosis, and treatment decisions for ASB in pregnancy. OBJECTIVES: The primary objective of our study is to develop, implement, and evaluate an evidence-based algorithm to guide urinalysis interpretation, culturing, diagnosis, and antibiotic stewardship of asymptomatic bacteriuria in pregnant patients during routine obstetric visits. STUDY DESIGN: The project involves both retrospective and quasi-experimental prospective chart reviews of pregnant patients aged 18 and older, beyond 20 weeks gestation, from routine obstetric visits with urinalysis dipstick tests. A doctorate in clinical laboratory sciences student developed an educational algorithm to guide urinalysis dipstick interpretation, culturing necessity, and treatment decisions based on evidence-based practice. Our study considered patient records from February 1 - 28, 2022 as retrospective (pre-algorithm implementation) data and January 24 - February 22, 2023, as prospective (post-algorithm implementation) data. Data collected from the electronic medical record included de-identified patient information, urinalysis results, culture dates and outcomes, antibiotic prescriptions, UTI or ASB diagnoses, provider details, adverse pregnancy outcomes, and demographics. Data analysis using SPSS version 29 involved chi-square tests, likelihood ratios, and effect size calculations, with P-values <0.05 considered statistically significant. RESULTS: In our study, we examined a total of 1,176 patient records. Pre-implementation data included 440 records, with 224 abnormal and 216 normal urinalyses. Post-implementation data encompassed 736 records, of which 255 were abnormal and 481 were normal. The patient demographics predominantly featured White (87%), with a median maternal age of 27 years and a gestational age of 32 weeks. Our pre-implementation analyses revealed significant associations between algorithm deviations with both culture utilization (P <.001) and antibiotic stewardship (P <.001). However, no significant associations were observed between algorithm deviations and adverse patient outcomes. Culture underutilization decreased significantly from 43.0% (189/440) pre-implementation to 29.5% (217/736) post-implementation (P < .001). The overall reduction in ASB prevalence from 16.3% (8/49) to 6.7% (10/67) suggests a decrease of nearly 60%. Additionally, antibiotic overprescription decreased significantly from 1.6% (4/258) pre-implementation to 0.8% (4/522) post-implementation (P = .003), with a reduction from 7.1% (3/42) to 2.4% (1/41) among abnormal urinalyses. CONCLUSION: Our findings show a strong alignment between the use of the algorithm and subsequent clinical decisions, underscoring its potential to enhance patient care and management in obstetric settings. Notably, adherence to the algorithm was higher among providers displaying prudent antibiotic use.

[Clostridioides difficile infections: Update and therapeutic guidelines]. / Infections à Clostridioides difficile : mise au point et repères thérapeutiques.

Clostridioides difficile infection (CDI) represents a significant challenge due to its increasing incidence, severity, and treatment difficulty. Effective management requires a multifactorial approach that includes preventive strategies, prudent antibiotic use, and adapted therapeutic options. Ongoing research and innovation offer promising prospects for improving ICD management, making vigilance and informed practices essential among healthcare professionals. Two main complications of ICD are pseudomembranous colitis (PMC) and toxic megacolon. PMC involves severe colonic inflammation due to C. difficile toxins, leading to pseudomembrane formation. Diagnosis relies on clinical criteria, microbiological tests, and endoscopy. Toxic Megacolon is characterized by severe colonic dilation and systemic toxicity, requiring immediate medical intervention. ICD diagnosis combines clinical signs and microbiological tests. These tests include toxin tests, GDH antigen detection, PCR for toxin genes, and stool culture. Imaging techniques assess colonic inflammation and complications. Combined diagnostic criteria from the American Gastroenterological Association (AGA) and European guidelines emphasize integrating clinical and laboratory findings for accurate diagnosis. ICD treatment involves stopping the implicated antibiotics and starting specific antimicrobial therapy. Common treatments include mainly fidaxomicin and oral vancomycin. Fecal microbiota transplantation (TMF) is recommended for recurrent cases unresponsive to standard treatments. Bezlotoxumab, an antibody targeting C. difficile toxin B, is used to prevent recurrence in high-risk adults. ICD poses a major challenge due to its increasing incidence, severity, and difficulty in treatment. A multifactorial approach involving rigorous preventive strategies, prudent antibiotic management, and adapted therapeutic options is essential for controlling the infection. Ongoing research and innovations in treatment offer promising prospects for improving patient management. Healthcare professionals must remain vigilant and informed to ensure effective practices in combating this infection and utilizing available resources optimally.

Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data.

The presence of adverse drug reactions (ADRs) is an ongoing public health concern. While traditional methods to discover ADRs are very costly and limited, it is prudent to predict ADRs through non-invasive methods such as machine learning based on existing data. Although various studies exist regarding ADR prediction using non-clinical data, a process that leverages both demographic and non-clinical data for ADR prediction is missing. In addition, the importance of individual features in ADR prediction has yet to be fully explored. This study aims to develop an ADR prediction model based on demographic and non-clinical data, where we identify the highest contributing factors. We focus our efforts on 30 common and severe ADRs reported to the Food and Drug Administration (FDA) between 2012 and 2023. We have developed a random forest (RF) and deep learning (DL) machine learning model that ingests demographic data (e.g., Age and Gender of patients) and non-clinical data, which includes chemical, molecular, and biological drug characteristics. We successfully unified both demographic and non-clinical data sources within a complete dataset regarding ADR prediction. Model performances were assessed via the area under the receiver operating characteristic curve (AUC) and the mean average precision (MAP). We demonstrated that our parsimonious models, which include only the top 20 most important features comprising 5 demographic features and 15 non-clinical features (13 molecular and 2 biological), achieve ADR prediction performance comparable to a less practical, feature-rich model consisting of all 2,315 features. Specifically, our models achieved an AUC of 0.611 and 0.674 for RF and DL algorithms, respectively. We hope our research provides researchers and clinicians with valuable insights and facilitates future research designs by identifying top ADR predictors (including demographic information) and practical parsimonious models.

Optimising antidiabetic medication management for type 2 diabetes and renal dysfunction in Can Tho City, Vietnam.

Introduction: The research aimed to delineate and investigate the utilisation of antidiabetic drugs in type 2 diabetes patients with kidney failure at a hospital in Can Tho City, Vietnam. Material and methods: The research analysed the use of antidiabetic drugs at various time points, determined the drug interaction rate, and evaluated the appropriate use of drugs and the relationship with the achievement of target blood glucose and HbA1c levels. A two-tailed Student's t-test was employed to compare continuous variables, an ANOVA test was used to assess multiple values, and an χ2 test was utilised to evaluate categorical variables. Results: Insulin monotherapy was the predominant regimen for treating type 2 diabetes in patients with impaired kidney function. Metformin was the most prescribed oral medication. Approximately 85.78% of patients received safe and appropriate diabetes treatment. Statistical analysis revealed a significant relationship between achieving target blood glucose and HbA1c after 3 months and factors such as safe drug use and minimal drug interactions (p < 0.05). Patients with chronic kidney disease demonstrated better blood glucose control compared to those with acute kidney disease. Conclusions: The most common drug used for type 2 diabetes patients with impaired kidney function was insulin monotherapy, with usage increasing with the severity of chronic kidney disease. The chronic kidney disease group exhibited a higher rate of achieving target blood glucose and HbA1c compared to the acute kidney disease group. Rational, safe, and interaction-free drug use significantly contributed to better blood sugar control compared to less prudent medication choices.

Slow and steady-small, but insufficient, changes in food and drink availability after four years of implementing a healthy food policy in New Zealand hospitals.

BACKGROUND: A voluntary National Healthy Food and Drink Policy (the Policy) was introduced in public hospitals in New Zealand in 2016. This study assessed the changes in implementation of the Policy and its impact on providing healthier food and drinks for staff and visitors in four district health boards between 1 and 5 years after the initial Policy introduction. METHODS: Repeat, cross-sectional audits were undertaken at the same eight sites in four district health boards between April and August 2017 and again between January and September 2021. In 2017, there were 74 retail settings audited (and 99 in 2021), comprising 27 (34 in 2021) serviced food outlets and 47 (65 in 2021) vending machines. The Policy's traffic light criteria were used to classify 2652 items in 2017 and 3928 items in 2021. The primary outcome was alignment with the Policy guidance on the proportions of red, amber and green foods and drinks (≥ 55% green 'healthy' items and 0% red 'unhealthy' items). RESULTS: The distribution of the classification of items as red, amber and green changed from 2017 to 2021 (p < 0.001) overall and in serviced food outlets (p < 0.001) and vending machines (p < 0.001). In 2021, green items were a higher proportion of available items (20.7%, n = 815) compared to 2017 (14.0%, n = 371), as were amber items (49.8%, n = 1957) compared to 2017 (29.2%, n = 775). Fewer items were classified as red in 2021 (29.4%, n = 1156) than in 2017 (56.8%, n = 1506). Mixed dishes were the most prevalent green items in both years, representing 11.4% (n = 446) of all items in 2021 and 5.5% (n = 145) in 2017. Fewer red packaged snacks (11.6%, n = 457 vs 22.5%, n = 598) and red cold drinks (5.2%, n = 205 vs 12.5%, n = 331) were available in 2021 compared to 2017. However, at either time, no organisation or setting met the criteria for alignment with the Policy (≥ 55% green items, 0% red items). CONCLUSIONS: Introduction of the Policy improved the relative healthiness of food and drinks available, but the proportion of red items remained high. More dedicated support is required to fully implement the Policy.

A cross-sectional study of the relative availability and prominence of shelf space allocated to healthy and unhealthy foods in supermarkets in urban Ireland, by area-level deprivation.

BACKGROUND: Diet-related noncommunicable diseases (NCDs) are a leading cause of ill-health and death across Europe. In Ireland, dietary intakes of saturated fat, free sugar and salt exceed World Health Organization recommendations, and excess consumption follows a social gradient increasing population risk of diet-related NCDs. The retail food environment can influence consumer food choice and subsequent dietary intakes. In high income countries, supermarkets are an increasingly influential actor in consumer food availability, choice, purchase, and subsequent food intake. This study aims to assess the relative availability and prominence of healthy and unhealthy foods in Irish supermarkets, by area-level deprivation. METHODS: This study used a cross-sectional study design, and applied a validated measure, as described in the INFORMAS Protocol: Food Retail - Food availability in supermarkets. Between October 2021 and February 2022, shelf space (m2) (height or depth (cm) × length (cm)) and prominence (visibility), of foods, classified as healthy and unhealthy and represented by a proxy indicator, were collected in supermarkets (n = 36) in County Dublin, Ireland. Overall the proportion of mean relative shelf space (m2), allocated to healthy and unhealthy foods, and its prominence, by area-level deprivation, and retailer, were determined. We used t-tests and one-way ANOVA to analyse possible differences between the proportion of relative shelf space available to healthy and unhealthy foods, and its prominence, by area-level deprivation and retailer. RESULTS: The study found the proportion of shelf space measured allocated to unhealthy food was 68.0% (SD 10.6). Unhealthy foods were more likely to be in areas of high prominence. Overall, there was no statistically significant difference between the proportion of relative shelf space available to unhealthy foods in areas of high and low deprivation. A statistically significant difference in the proportion of relative shelf space allocated to healthy and unhealthy food by area level deprivation was found in one retailer. CONCLUSION: Unhealthy foods had a higher proportion of shelf space and were more prominent than healthy foods in supermarkets in County Dublin, Ireland. The current availability and prominence of foods in supermarkets does not align with Food Based Dietary Guideline recommendations and does not support consumers to make healthier food choices. There is a need for supermarkets in Ireland to improve the availability and prominence of healthy foods to support consumers to make healthier food choices.