Predictors of transition to schizophrenia and other long-lasting non-affective psychoses in first-episode patients with acute and transient psychotic disorders: A validation study

Background and objectives Almost half of the individuals with a first-episode of psychosis who initially meet criteria for acute and transient psychotic disorder (ATPD) will have had a diagnostic revision during their follow-up, mostly toward schizophrenia. This study aimed to determine the proportion of diagnostic transitions to schizophrenia and other long-lasting non-affective psychoses in patients with first-episode ATPD, and to examine the validity of the existing predictors for diagnostic shift in this population. Methods We designed a prospective two-year follow-up study for subjects with first-episode ATPD. A multivariate logistic regression analysis was performed to identify independent variables associated with diagnostic transition to persistent non-affective psychoses. This prediction model was built by selecting variables on the basis of clinical knowledge. Results Sixty-eight patients with a first-episode ATPD completed the study and a diagnostic revision was necessary in 30 subjects at the end of follow-up, of whom 46.7% transited to long-lasting non-affective psychotic disorders. Poor premorbid adjustment and the presence of schizophreniform symptoms at onset of psychosis were the only variables independently significantly associated with diagnostic transition to persistent non-affective psychoses. Conclusion Our findings would enable early identification of those inidividuals with ATPD at most risk for developing long-lasting non-affective psychotic disorders, and who therefore should be targeted for intensive preventive interventions. (AU)

Factors related to the low-risk perception of driving after cannabis use.

INTRODUCTION: Modifying risk perceptions related to driving after cannabis use (DACU) could deter individuals from enacting this behavior, as low-risk perception is associated with DACU engagement. This study identified sociodemographic characteristics, substance use, other driving behaviors, peer norms, and psychological characteristics that are associated with lower risk perception regarding DACU. METHODS: Canadian drivers aged 17-35 who have used cannabis in the past year (n = 1,467) completed an online questionnaire. A multivariate linear regression model allowed for identifying variables associated with the low-risk perception of DACU (i.e. believing it to be safe as one's driving ability is not impaired by cannabis or by being high). RESULTS: Lower risk perception of DACU was associated with identifying as male, weekly to daily cannabis use, engagement in DACU, general risky driving behaviors, being a passenger of a driver who engages in DACU, number of friends who engage in DACU, and peer approval of DACU. Having driven under the influence of alcohol, living in urban areas, having received traffic tickets in the past three years, and declaring past-week irritability and cognitive problems were associated with holding a higher risk perception related to DACU. DISCUSSION: Road education and prevention programs should target attitudes and perceptions regarding risks shaped by sociocultural norms and past risky driving experiences. They need to reach out more specifically to drivers with the identified characteristics associated with the low-risk perception of DACU. These interventions can potentially help reduce the rate of individuals who engage in this behavior.

Impact of Preoperative Neutrophil to Prealbumin Ratio Index (NPRI) on Short-Term Complications and Long-Term Prognosis in Patients Undergoing Laparoscopic Radical Surgery for Colorectal Cancer.

Objective: This study aims to evaluate the impact and predictive value of the preoperative NPRI on short-term complications and long-term prognosis in patients undergoing laparoscopic radical surgery for colorectal cCancer (CRC). Methods: A total of 302 eligible CRC patients were included, assessing five inflammation-and nutrition-related markers and various clinical features for their predictive impact on postoperative outcomes. Emphasis was on the novel indicator NPRI to elucidate its prognostic and predictive value for perioperative risks. Results: Multivariate logistic regression analysis identified a history of abdominal surgery, prolonged surgical duration, CEA levels ≥5 ng/mL, and NPRI ≥ 3.94 × 10-2 as independent risk factors for postoperative complications in CRC patients. The Clavien--Dindo complication grading system highlighted the close association between preoperative NPRI and both common and severe complications. Multivariate analysis also identified a history of abdominal surgery, tumor diameter ≥5 cm, poorly differentiated or undifferentiated tumors, and NPRI ≥ 2.87 × 10-2 as independent risk factors for shortened overall survival (OS). Additionally, a history of abdominal surgery, tumor maximum diameter ≥5 cm, tumor differentiation as poor/undifferentiated, NPRI ≥ 2.87 × 10-2, and TNM Stage III were determined as independent risk factors for shortened disease-free survival (DFS). Survival curve results showed significantly higher 5-year OS and DFS in the low NPRI group compared to the high NPRI group. The incorporation of NPRI into nomograms for OS and DFS, validated through calibration and decision curve analyses, attested to the excellent accuracy and practicality of these models. Conclusion: Preoperative NPRI independently predicts short-term complications and long-term prognosis in patients undergoing laparoscopic colorectal cancer surgery, enhancing predictive accuracy when incorporated into nomograms for patient survival.

Silent brain infarctions in patients with acute cardioembolic stroke.

INTRODUCTION AND AIM: The advances and the wide use of brain imaging have considerably increased the prevalence of silent brain infarctions (SBI). We aim in this study to determine the prevalence of SBI in patients presenting with acute cardioembolic stroke and the predictive cardiovascular risk factors. METHODS: This retrospective study included 267 patients presenting with acute cardioembolic stroke in the emergency and/or neurology departments of the Hassan II University Hospital Center. Clinical, biological and echocardiographic characteristics were recorded. All patients were screened for SBI by brain imaging. RESULTS: The prevalence of SBI in our series was 46%. A group of 203 non-valvular patients and a group of 64 valvular patients were distinguished. In non-valvular group, the average age was 72.97±10.53years. The prevalence of SBI was 45.3%. Forty-four percent of patients with SBI had atrial fibrillation (AF). In multivariate regression analysis, the history of previous stroke, CHA2DS2-VASc Score≥4, enlarged left atrium (LA), the association of AF with enlarged LA and the lability of International Normalized Ratio in patients initially treated with anticoagulants were significantly associated with the occurrence of SBI (P=0.013, P=0.032, P=0.0001, P=0.01, P=0.03, respectively). Territorial location was significantly the most frequent (P=0.007). In valvular group, the average age was 57.19±14.38years. The prevalence of SBI was 48.4%. In multivariate regression analysis, SBI were significantly associated with moderate or severe mitral stenosis (P=0.02) and with the enlarged LA (P=0.02). In all patients, Modified Rankin Scale at 3 months of discharge from the acute stroke was significantly higher (mRS≥3) in patients with SBI (P=0.04). CONCLUSIONS: SBI requires good management of associated cardiovascular risk factors in a population presenting with initial cardioembolic stroke.

Genetic and Lifestyle Risk Factors of Metabolic Dysfunction-Associated Fatty Liver Disease and Its Relationship with Premature Coronary Artery Disease: A Study on the Pars Cohort.

BACKGROUND: The main objective of this study is to identify the risk factors of metabolic dysfunction-associated fatty liver disease (MAFLD) in coronary artery disease (CAD) patients. METHODS: The present retrospective cohort study is part of the Pars Cohort Study (PCS). The participants were categorized as having MAFLD or not. The pattern of independent variables in patients was compared with those who did not have MAFLD. All variables were retained in the multivariable logistic regression model. RESULTS: Totally, 1862 participants with CAD were enrolled in this study. MAFLD was diagnosed in 647 (40.1%) participants. Gender, diabetes, hypertension, tobacco, opium, alcohol, age, weight, waist circumference, cholesterol, HDL, triglyceride, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were significantly different in MAFLD and non-MAFLD patients. Also, the results of multivariable logistic regression show male gender (OR=0.651, 95% CI: 0.470‒0.902, P value=0.01) and opium consumption (OR=0.563, 95% CI: 0.328‒0.968, P value<0.001) to be negative risk factors of MAFLD occurrence in CAD patients. Having diabetes (OR=2.414, 95% CI: 1.740-3.349, P value<0.001), high waist circumference (OR=1.078, 95% CI: 1.055‒1.102, P value<0.01), high triglyceride (OR=1.005, 95% CI: 1.001‒1.008, P value=0.006), and high ALT (OR=1.039, 95% CI: 1.026‒1.051, P value<0.01) were positive risk factors of MAFLD in CAD patients. CONCLUSION: Our study found that consuming opium decreases the likelihood of MAFLD in CAD patients, since these patients have decreased appetite and lower body mass index (BMI). On the other hand, female gender, having diabetes, high waist circumference, high triglyceride levels, and high ALT levels increase the probability of MAFLD in CAD patients.

Unplanned pregnancy in the extreme South of Brazil: prevalence, trends, and associated factors. / Gravidez não planejada no extremo Sul do Brasil: prevalência, tendência e fatores associados.

The study aims to estimate the proportion of puerperae with an unplanned pregnancy, evaluate trends and identify factors associated with its occurrence in Rio Grande-RS, Brazil. Trained interviewers applied a single, standardized questionnaire to all puerperae residing in the municipality in 2007, 2010, 2013, 2016 and 2019. The chi-square test compared proportions and the Poisson regression with robust variance adjustment in the multivariate analysis. The prevalence ratio (PR) was the effect measure employed. The study includes 12,415 puerperae (98% of the total). The unplanned pregnancy rate was 63.3% (95%CI: 62.5%-64.1%). After adjusting, the highest PR for not planning pregnancy were observed among younger, black women, living without a partner, with more significant household agglomeration, lower schooling, and household income, multiparous and smokers. The rate of unplanned pregnancy is high and stable, with a higher propensity among women those with the highest risk of unfavorable events during pregnancy and childbirth. Reaching these women in high schools, companies, services and health professionals, in addition to the mass media, can be strategies to prevent unplanned pregnancy.

Este estudo estimou a proporção de puérperas que não planejaram a gravidez, avaliou tendência e identificou fatores associados à sua ocorrência no município de Rio Grande-RS. Entre 01/01 e 31/12 de 2007, 2010, 2013, 2016 e 2019 entrevistadoras treinadas aplicaram questionário único e padronizado a todas as puérperas residentes neste município. Utilizou-se teste qui-quadrado para comparar proporções e regressão de Poisson com ajuste da variância robusta na análise multivariável. A medida de efeito utilizada foi razão de prevalências (RP). O estudo incluiu 12.415 puérperas (98% do total). A prevalência de não planejamento foi 63,3% (IC95%: 62,5%-64,1%). Após ajuste, as maiores RP para não planejamento da gravidez foram observadas entre mulheres de menor idade, cor da pele preta, com companheiro, maior aglomeração domiciliar, pior escolaridade e renda familiar, maior paridade e tabagistas. Houve pequeno aumento na prevalência de não planejamento da gravidez no final do período principalmente entre àquelas com maiores riscos de eventos desfavoráveis na gestação e parto. Alcançar estas mulheres nas escolas de ensino médio, empresas, serviços e profissionais de saúde, além de meios de comunicação de massa, pode auxiliar na prevenção desse tipo de gravidez.

[Usual source of care and Brazilian adolescent access to Primary Health Care (PHC) services]. / Fonte usual de cuidado e o acesso de adolescentes brasileiros a serviços de Atenção Primária à Saúde (APS).

We analyzed the association between the recognition of a usual source of care (USC) of Primary Health Care (PHC) and access to services among Brazilian adolescents. This is a cross-sectional study using data from the National Adolescent School-based Health Survey with 68,968 Brazilian adolescents and cluster sampling. Descriptive analyses were carried out with Pearson's χ2 and prevalence ratios (PR) using logistic regression models between access and recognition of USC. It was observed that 74.6% reported access, and this was higher among females (79.3%). In the multivariate analysis, there was a positive association (PR: 1.25; 95%CI: 1.24-1.26); and, when stratified by sex, positive associations for both sexes, (PR: 1.30; 95%CI: 1.28-1.31) male and (PR: 1.21; 95%CI: 1.20-1.23) female. The majority of Brazilian adolescents demonstrated PHC as a USC and were able to access services, but lack of access was more frequent among the most economically vulnerable and those with risk behaviors, indicating potentially avoidable inequities with more equitable and longitudinal PHC services.

Objetivou-se analisar a associação entre o reconhecimento de uma fonte usual do cuidado de Atenção Primária à Saúde (APS) e o acesso aos serviços de APS, entre adolescentes brasileiros. Estudo transversal, a partir da Pesquisa Nacional de Saúde do Escolar realizada com 68.968 adolescentes brasileiros, através de amostragem por conglomerados. Foram realizadas análises descritivas através do χ2 de Pearson e a razão de prevalência (RP) através dos modelos de regressão logística entre acesso aos serviços de APS e o reconhecimento da FUC APS. Dos adolescentes que procuraram os serviços de APS, 74,6% referiram acesso, sendo a maior do sexo feminino (79,3%). Na análise multivariada, observa-se associação positiva (RP: 1,25; IC95%: 1,24-1,26), e na estratificado por sexo, observou-se associações positivas para ambos os sexos, (RP: 1,30; IC95%: 1,28-1,31) masculino e (RP: 1,21; IC95%: 1,20-1,23) feminino. Verifica-se que a maioria dos adolescentes brasileiros que têm a APS como sua FUC conseguiram acessar os serviços de APS, apesar de que, a falta de acesso foram mais frequentes entre os mais vulneráveis economicamente e devido a comportamentos de risco, indicando iniquidades potencialmente evitáveis por meio de uma APS mais efetiva e longitudinal.

High-risk space-time clusters of mortality in children 5 to 14 years of age in Mato Grosso state, Brazil. / Clusters Espaço-Temporais de Alto Risco da Mortalidade Infantojuvenil em Mato Grosso, Brasil.

The study aimed to detect high-risk areas for deaths of children and adolescents 5 to 14 years of age in the state of Mato Grosso, Brazil, from 2009 to 2020. This was an exploratory ecological study with municipalities as the units of analysis. Considering mortality data from the Mortality Information System (SIM) and demographic data from the Brazilian Institute of Geography and Statistics (IBGE), the study used multivariate statistics to identify space-time clusters of excess mortality risk in this age group. From 5 to 9 years of age, two clusters with high mortality risk were detected; the most likely located in the state's southern mesoregion (RR: 1.6; LRT: 8,53). Among the 5 clusters detected in the 10-14-year age group, the main cluster was in the state's northern mesoregion (RR: 2,26; LRT: 7,84). A reduction in mortality rates was observed in the younger age group and an increase in these rates in the older group. The identification of these clusters, whose analysis merits replication in other parts of Brazil, is the initial stage in the investigation of possible factors associated with morbidity and mortality in this group, still insufficiently explored, and for planning adequate interventions.

O objetivo deste estudo é detectar as áreas de maior risco para óbitos de crianças e adolescentes de 5 a 14 anos no estado de Mato Grosso entre os anos de 2009 e 2020. Estudo ecológico, tipo exploratório, cuja unidade de análise foram os municípios. Considerando dados de mortalidade do SIM e os demográficos do IBGE, o estudo utilizou a estatística multivariada para a identificação dos clusters espaço-temporais de sobrerrisco de mortalidade nesta faixa etária. Dos 5 aos 9 anos, dois clusters de alto risco de mortalidade foram detectados; o mais provável localizado na mesorregião sul (RR: 1,6; LRV: 8,53). Dentre os 5 clusters detectados na faixa etária dos 10 aos 14 anos, o principal foi localizado na mesorregião norte (RR: 2,26; LRV: 7,84). Foi identificada redução das taxas de mortalidade na faixa etária mais jovem e aumento destas taxas na faixa etária mais velha. A identificação destes clusters, cuja análise merece ser replicada a outras partes do território nacional, é a etapa inicial para a investigação de possíveis fatores associados à morbi-mortalidade deste grupo ainda pouco explorado e para o planejamento de intervenções adequadas.

Neurovascular Coupling Analysis Based on Multivariate Variational Gaussian Process Convergent Cross-Mapping.

Neurovascular coupling (NVC) provides important insights into the intricate activity of brain functioning and may aid in the early diagnosis of brain diseases. Emerging evidences have shown that NVC could be assessed by the coupling between electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). However, this endeavor presents significant challenges due to the absence of standardized methodologies and reliable techniques for coupling analysis of these two modalities. In this study, we introduced a novel method, i.e., the collaborative multi-output variational Gaussian process convergent cross-mapping (CMVGP-CCM) approach to advance coupling analysis of EEG and fNIRS. To validate the robustness and reliability of the CMVGP-CCM method, we conducted extensive experiments using chaotic time series models with varying noise levels, sequence lengths, and causal driving strengths. In addition, we employed the CMVGP-CCM method to explore the NVC between EEG and fNIRS signals collected from 26 healthy participants using a working memory (WM) task. Results revealed a significant causal effect of EEG signals, particularly the delta, theta, and alpha frequency bands, on the fNIRS signals during WM. This influence was notably observed in the frontal lobe, and its strength exhibited a decline as cognitive demands increased. This study illuminates the complex connections between brain electrical activity and cerebral blood flow, offering new insights into the underlying NVC mechanisms of WM.

MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation.

BACKGROUND: Mendelian randomisation (MR) is the use of genetic variants as instrumental variables. Mode-based estimators (MBE) are one of the most popular types of estimators used in univariable-MR studies and is often used as a sensitivity analysis for pleiotropy. However, because there are no plurality valid regression estimators, modal estimators for multivariable-MR have been under-explored. METHODS: We use the residual framework for multivariable-MR to introduce two multivariable modal estimators: multivariable-MBE, which uses IVW to create residuals fed into a traditional plurality valid estimator, and an estimator which instead has the residuals fed into the contamination mixture method (CM), multivariable-CM. We then use Monte-Carlo simulations to explore the performance of these estimators when compared to existing ones and re-analyse the data used by Grant and Burgess (2021) looking at the causal effect of intelligence, education, and household income on Alzheimer's disease as an applied example. RESULTS: In our simulation, we found that multivariable-MBE was generally too variable to be much use. Multivariable-CM produced more precise estimates on the other hand. Multivariable-CM performed better than MR-Egger in almost all settings, and Weighted Median under balanced pleiotropy. However, it underperformed Weighted Median when there was a moderate amount of directional pleiotropy. Our re-analysis supported the conclusion of Grant and Burgess (2021), that intelligence had a protective effect on Alzheimer's disease, while education, and household income do not have a causal effect. CONCLUSIONS: Here we introduced two, non-regression-based, plurality valid estimators for multivariable MR. Of these, "multivariable-CM" which uses IVW to create residuals fed into a contamination-mixture model, performed the best. This estimator uses a plurality of variants valid assumption, and appears to provide precise and unbiased estimates in the presence of balanced pleiotropy and small amounts of directional pleiotropy.

Mapping soil trace metal distribution using remote sensing and multivariate analysis.

Trace metal soil contamination poses significant risks to human health and ecosystems, necessitating thorough investigation and management strategies. Researchers have increasingly utilized advanced techniques like remote sensing (RS), geographic information systems (GIS), geostatistical analysis, and multivariate analysis to address this issue. RS tools play a crucial role in collecting spectral data aiding in the analysis of trace metal distribution in soil. Spectroscopy offers an effective understanding of environmental contamination by analyzing trace metal distribution in soil. The spatial distribution of trace metals in soil has been a key focus of these studies, with factors influencing this distribution identified as soil type, pH levels, organic matter content, land use patterns, and concentrations of trace metals. While progress has been made, further research is needed to fully recognize the potential of integrated geospatial imaging spectroscopy and multivariate statistical analysis for assessing trace metal distribution in soils. Future directions include mapping multivariate results in GIS, identifying specific anthropogenic sources, analyzing temporal trends, and exploring alternative multivariate analysis tools. In conclusion, this review highlights the significance of integrated GIS and multivariate analysis in addressing trace metal contamination in soils, advocating for continued research to enhance assessment and management strategies.

Multivariate analysis applied to X-ray fluorescence to assess soil contamination pathways: case studies of mass magnetic susceptibility in soils near abandoned coal and W/Sn mines.

Determining the origin and pathways of contaminants in the natural environment is key to informing any mitigation process. The mass magnetic susceptibility of soils allows a rapid method to measure the concentration of magnetic minerals, derived from anthropogenic activities such as mining or industrial processes, i.e., smelting metals (technogenic origin), or from the local bedrock (of geogenic origin). This is especially effective when combined with rapid geochemical analyses of soils. The use of multivariate analysis (MVA) elucidates complex multiple-component relationships between soil geochemistry and magnetic susceptibility. In the case of soil mining sites, X-ray fluorescence (XRF) spectroscopic data of soils contaminated by mine waste shows statistically significant relationships between magnetic susceptibility and some base metal species (e.g., Fe, Pb, Zn, etc.). Here, we show how qualitative and quantitative MVA methodologies can be used to assess soil contamination pathways using mass magnetic susceptibility and XRF spectra of soils near abandoned coal and W/Sn mines (NW Portugal). Principal component analysis (PCA) showed how the first two primary components (PC-1 + PC-2) explained 94% of the sample variability, grouped them according to their geochemistry and magnetic susceptibility in to geogenic and technogenic groups. Regression analyses showed a strong positive correlation (R2 > 0.95) between soil geochemistry and magnetic properties at the local scale. These parameters provided an insight into the multi-element variables that control magnetic susceptibility and indicated the possibility of efficient assessment of potentially contaminated sites through mass-specific soil magnetism.

Multivariate analysis and mathematical modeling of the informativeness of patients cases data in chronic pancreatitis associated with concomitant pathology.

OBJECTIVE: Aim: To investigate and analyze homeostatic disorders in patients with a combination of Chronic Pancreatitis(CP) and Arterial Hypertension (AH) and to develop correcting ways of the detected changes. PATIENTS AND METHODS: Materials and Methods: General clinical, laboratory-instrumental examination of 121 patients, who were undergoing inpatient treatment with a diagnosis of Chronic Pancreatitis in combination with Arterial Hypertension of the II stage during 2021-2022. RESULTS: Results: In the majority of cases of patients signs the increasing in IL-1,6 and Cortisol levels were found. A decrease in Ca to the lower limit of the norm was observed (2.18 ± 0.26 mmol/l to the data of control group patients (2.32 ± 0.12 mmol/l, p= 0.01 ), the levels of trace elements Zn and Se were determined within the reference values. The Atherogenic Index was increased 1.8 times and was significantly different from the control group date. During the FE-1 study, a decrease in the level of this indicator was revealed by 151.71±13.91 mg/g of feces, both to the values of reference values and a significant difference to the data of the control group (241.28±29.17 mg/g of feces, p<0 .05). CONCLUSION: Conclusions: Based on the multivariate linear regression analysis of the obtained data, formulas have been developed that can be used to predict the dynamics of the dependent variable (FE-1, IL-1, Selenium level, Glutathione Peroxidase, blood pressure) according to changes in the studied influencing factors.

Dietary anthocyanin is associated with a lower prevalence of hyperuricemia independently of metabolic syndrome among females: Results from NHANES 2007-2010 and 2017-2018.

OBJECTIVE: Known for anti-inflammatory and antioxidant properties, flavonoid has phytoestrogenic effects, but it is unclear whether its role in hyperuricemia and metabolic syndrome (MetS) differs by gender. Moreover, given the strong association between hyperuricemia and MetS, we aimed to explore whether flavonoid is a protective factor for hyperuricemia, independently of MetS, in different genders. METHODS: Data for 2007-2010 and 2017-2018 were obtained from the National Health and Nutrition Examination Survey (NHANES) and the Food and Nutrient Database for Dietary Studies (FNDDS). To assess the association among flavonoid, hyperuricemia, and MetS, multivariate logistic regression and subgroup analyses were conducted. Besides, to investigate whether the association between flavonoid and hyperuricemia was independent of MetS, multivariate logistic regression models were further conducted to explore the association between flavonoid and MetS among females with hyperuricemia and to investigate the association between flavonoid and hyperuricemia among females after excluding MetS. RESULT: Among 5356 females, anthocyanin intake was inversely associated with the prevalence of hyperuricemia (Q4 vs. Q1: OR 0.49, 95% CI 0.31 to 0.76), and MetS (Q4 vs. Q1: OR 0.68, 95% CI 0.50 to 0.93). Furthermore, subgroup analyses showed the beneficial association between anthocyanin and hyperuricemia among females aged 40 to 59 years and menopausal. However, among 5104 males, no significant association was observed after adjustment for covariates (Q4 vs. Q1: OR 0.81, 95% CI 0.56 to 1.18). While in 372 females with hyperuricemia, no significant association was found between MetS and anthocyanin (Q4 vs. Q1: OR 0.88, 95% CI 0.31 to 2.49). Meanwhile, among 3335 females after excluding MetS, there was still a significant association between anthocyanin and a lower prevalence of hyperuricemia (Q4 vs. Q1: OR 0.38, 95% CI 0.17 to 0.85). CONCLUSION: Dietary anthocyanin is associated with a lower prevalence of hyperuricemia independently of MetS among females. Foods rich in anthocyanin should be emphasized for females, especially those aged 40 to 59 years and menopausal, which may be of potential significance in the prevention of hyperuricemia.

Species-Specific quantification of bioactive boswellic acids in Boswellia resin using NIR spectroscopy, HPLC and Multivariate data analysis.

The bioactive compounds Acetyl-11-keto-ß-boswellic acid (AKBA) and 11-keto-ß-boswellic acid (KBA), found in the resin of the Boswellia tree, exhibit anti-inflammatory properties, rendering Boswellia resin an intriguing natural medicinal products. However, the content of boswellic acids varies across different Boswellia species and proper knowledge of its species-dependent nature, as well as alternatives to the resource- and time-intensive HPLC analysis, are lacking. Here we present a comprehensive investigation into the boswellic acid content of seven Boswellia species from ten countries and introduce a novel and non-destructive Near-Infrared spectroscopy method for predicting boswellic acid concentrations in solid resin samples. The HPLC-UV reference analysis revealed AKBA concentrations of up to 7.27 % (w/w) with KBA concentrations reaching up to 1.28 % (w/w). Principal Component Analysis of the HPLC and NIR spectroscopy data unveiled species-specific variations, facilitating differentiation based on boswellic acid content, characteristic chromatograms and NIR spectra. Using the HPLC-UV quantification as reference, we developed a Partial Least Squares regression model based on NIR spectra of the resin samples. This model demonstrated highly satisfactory predictive capabilities for AKBA content, achieving a root mean square error of prediction of 0.74 % (w/w) and an R2val of 0.79 in independent test set validation. Although the model was less effective for predicting KBA content, it still offered valuable estimates. The spectroscopic method introduced in this study provides a cost-effective and solvent-free approach for predicting boswellic acid content, demonstrating the potential for application in non-laboratory settings through the use of miniaturized NIR spectrometers. Consequently, this method aligns well with the principles of green chemistry and addresses the growing demand for alternative analytical techniques.

Chemical Characterization of the Essential Oil Compositions of Mentha spicata and M. longifolia ssp. cyprica from the Mediterranean Basin and Multivariate Statistical Analyses.

This present study aims to characterize the essential oil compositions of the aerial parts of M. spicata L. and endemic M. longifolia ssp. cyprica (Heinr. Braun) Harley by using GC-FID and GC/MS analyses simultaneously. In addition, it aims to perform multivariate statistical analysis by comparing with the existing literature, emphasizing the literature published within the last two decades, conducted on both species growing within the Mediterranean Basin. The major essential oil components of M. spicata were determined as carvone (67.8%) and limonene (10.6%), while the major compounds of M. longifolia ssp. cyprica essential oil were pulegone (64.8%) and 1,8-cineole (10.0%). As a result of statistical analysis, three clades were determined for M. spicata: a carvone-rich chemotype, a carvone/trans-carveol chemotype, and a pulegone/menthone chemotype, with the present study result belonging to the carvone-rich chemotype. Carvone was a primary determinant of chemotype, along with menthone, pulegone, and trans-carveol. In M. longifolia, the primary determinants of chemotype were identified as pulegone and menthone, with three chemotype clades being pulegone-rich, combined menthone/pulegone, and combined menthone/pulegone with caryophyllene enrichment. The primary determinants of chemotype were menthone, pulegone, and caryophyllene. The present study result belongs to pulegone-rich chemotype.

Association between emotional competence and risk of unmet supportive care needs in caregivers of cancer patients at the beginning of care.

PURPOSE: This cross-sectional study explored the associations between intrapersonal and interpersonal emotional competence (EC) and the unmet supportive care needs (SCN), anxiety, and depression of informal caregivers at the beginning of gastrointestinal or haematological cancer care, i.e. during chemotherapy and within 6 months after diagnosis. METHODS: The participants completed a self-reported questionnaire, comprising the Short Profile of Emotional Competence (S-PEC), the SCN survey for partners and caregivers (SCNS-P&C), and the Hospital Anxiety and Depression Scale (HADS). Multivariate logistic regression models were performed to explore the influence of EC on unmet SCN and the presence of moderate/severe anxiety or depression. RESULTS: Most of the 203 caregivers were women (n = 141, 69.80%) and the partners of patients (n = 148, 73.27%) suffering from gastrointestinal (n = 112, 55.17%) and haematological (n = 91, 44.83%) cancer. Only intrapersonal EC showed a significant influence out of all the dimensions of unmet SCN related to healthcare services and information (odds ratio (OR) = 0.35 [95%CI 0.19; 0.65]), emotional and psychological needs (OR = 0.43 [95%CI 0.25; 0.74]), work and social security (OR = 0.57 [95%CI 0.37; 0.88]), and communication and family support (OR = 0.61 [95%CI 0.39; 0.95]). A one-unit increase in the intrapersonal EC score significantly reduced the probability of anxiety (OR = 0.42, [95%CI 0.26; 0.68]) and depression (OR = 0.34, [95%CI 0.21; 0.55]). CONCLUSION: Intrapersonal EC of caregivers is crucial to reduce the risk of unmet SCN, anxiety, and depression from the beginning of care. Identifying caregivers with lower intrapersonal EC may be necessary to increase vigilance from healthcare professionals and psychologists.

Safety performance of dedicated and preferential bus lanes using multivariate negative binomial models for Bogotá, Colombia.

Public transport priority systems such as Bus Rapid Transit (BRT) and Buses with High Level of Service (BHLS) are top-rated solutions to mobility in low-income and middle-income cities. There is scientific agreement that the safety performance level of these systems depends on their functional, operational, and infrastructure characteristics. However, there needs to be more evidence on how the different characteristics of bus corridors might influence safety. This paper aims to shed some light on this area by structuring a multivariate negative binomial model comparing crash risk on arterial roads, BRT, and BHLS corridors in Bogotá, Colombia. The analyzed infrastructure includes 712.1 km of arterial roads with standard bus service, 194.1 km of BRT network, and 135.6 km of BHLS network. The study considered crashes from 2015 to 2018 -fatalities, injuries, and property damage only- and 30 operational and infrastructure variables grouped into six classes -exposure, road design, infrastructure, public means of transport, and land use. A multicriteria process was applied for model selection, including the structure and predictive power based on [i] Akaike information criteria, [ii] K-fold cross-validation, and [iii] model parsimony. Relevant findings suggest that in terms of observed and expected accident rates and their relationship with the magnitude of exposure -logarithm of average annual traffic volumes at the peak hour (LOG_AAPHT) and the percentage of motorcycles, cars, buses, and trucks- the greatest risk of fatalities, injuries, and property damage occurs in the BHLS network. BRT network provides lower crash rates in less severe collisions while increasing injuries and fatalities. When comparing the BHLS network and the standard design of arterial roads, BHLS infrastructure, despite increasing mobility benefits, provides the lowest safety performance among the three analyzed networks. Individual factors of the study could also contribute to designing safer roads related to signalized intersection density and curvature. These findings support the unique characteristics and traffic dynamics present in the context of Bogotá that could inform and guide decisions of corresponding authorities in other highly dense urban areas from developing countries.