Factores de riesgo transdiagnósticos de los trastornos emocionales en adultos: una revisión sistemática / Transdiagnostic risk factors of emotional disorders in adults: A systematic review

La comorbilidad es más la regla que la excepción en salud mental y, sobre todo, en el caso de la ansiedad y la depresión. Los modelos transdiagnósticos estudian los procesos subyacentes para mejorar el tratamiento y la comprensión de la salud mental. Objetivo: Esta revisión sistemática busca evidencias sobre los factores de riesgo transdiagnósticos para la ansiedad y la depresión en la población clínica diagnosticada de estas condiciones psicopatológicas, analizando los diferentes tipos o categorías de factores identificados. Método: Se registró una revisión sistemática en PROSPERO (número de registro CRD42022370327) y se diseñó de acuerdo con las guías PRISMA-P. La calidad del estudio fue evaluada por dos revisores independientes con conocimiento del campo para reducir el posible sesgo. Resultados: Cincuenta y tres artículos fueron examinados y las variables transdiagnósticas fueron agrupadas en tres categorías: psicológicas, biológicas y socioculturales. Conclusiones: La categoría más estudiada fue la de variables psicológicas, en especial los procesos cognitivos, afecto negativo y neuroticismo, intolerancia a la incertidumbre, sensibilidad a la ansiedad. Los factores biológicos y socioculturales requieren más estudio para sustentar su enfoque transdiagnóstico.(AU)

Comorbidity is more the rule than the exception in mental health, specifically in the case of anxiety and depression. Transdiagnostic models studied the underlying processes to improve mental health treat-ment and understating. Objective:This systematic review searchs for evi-dence on transdiagnostic risk factors for anxiety and depression in the clin-ical population diagnosed with these psychopathological conditions, by an-alysing the different types or categories of factors identified.Methods:A sys-tematic review was registered in PROSPERO (registration number CRD42022370327) and was designed according to PRISMA-P guidelines. Two independent reviewers with field knowledge assessed the study quality to reduce bias.Results: Fifty-three articles were examined, and the transdi-agnostic variables were grouped into three categories: psychological, bio-logical, and sociocultural.Conclusions:The most studied category was that of psychological variables, especially cognitive processes, negative affect, and neuroticism, intolerance of uncertainty, anxiety sensitivity. Biological and sociocultural factors require more study to support their transdiagnos-tic approach.(AU)

Risk factors for acute kidney injury in patients hospitalized with COVID-19 / Fatores de risco para lesão renal aguda em pacientes hospitalizados com COVID-19

Abstract Introduction: Acute kidney injury (AKI) occurs frequently in COVID-19 patients and is associated with greater morbidity and mortality. Knowing the risks of AKI allows for identification, prevention, and timely treatment. This study aimed to identify the risk factors associated with AKI in hospitalized patients. Methods: A descriptive, retrospective, cross-sectional, and analytical component study of adult patients hospitalized with COVID-19 from March 1 to December 31, 2020 was carried out. AKI was defined by the creatinine criteria of the KDIGO-AKI guidelines. Information, regarding risk factors, was obtained from electronic medical records. Results: Out of the 934 patients, 42.93% developed AKI, 60.59% KDIGO-1, and 9.9% required renal replacement therapy. Patients with AKI had longer hospital stay, higher mortality, and required more intensive care unit (ICU) admission, mechanical ventilation, and vasopressor support. Multivariate analysis showed that age (OR 1.03; 95% CI 1.02-1.04), male sex (OR 2.13; 95% CI 1.49-3.04), diabetes mellitus (DM) (OR 1.55; 95% CI 1.04-2.32), chronic kidney disease (CKD) (OR 2.07; 95% CI 1.06-4.04), C-reactive protein (CRP) (OR 1.02; 95% CI 1.00-1.03), ICU admission (OR 1.81; 95% CI 1.04-3.16), and vasopressor support (OR 7.46; 95% CI 3.34-16.64) were risk factors for AKI, and that bicarbonate (OR 0.89; 95% CI 0.84-0.94) and partial pressure arterial oxygen/inspired oxygen fraction index (OR 0.99; 95% CI 0.98-0.99) could be protective factors. Conclusions: A high frequency of AKI was documented in COVID-19 patients, with several predictors: age, male sex, DM, CKD, CRP, ICU admission, and vasopressor support. AKI occurred more frequently in patients with higher disease severity and was associated with higher mortality and worse outcomes.

RESUMO Introdução: Lesão renal aguda (LRA) ocorre frequentemente em pacientes com COVID-19 e associa-se a maior morbidade e mortalidade. Conhecer riscos da LRA permite a identificação, prevenção e tratamento oportuno. Este estudo teve como objetivo identificar fatores de risco associados à LRA em pacientes hospitalizados. Métodos: Realizou-se estudo descritivo, retrospectivo, transversal e de componente analítico de pacientes adultos hospitalizados com COVID-19 de 1º de março a 31 de dezembro, 2020. Definiu-se a LRA pelos critérios de creatinina das diretrizes KDIGO-LRA. Informações sobre fatores de risco foram obtidas de prontuários eletrônicos. Resultados: Dos 934 pacientes, 42,93% desenvolveram LRA, 60,59% KDIGO-1 e 9,9% necessitaram de terapia renal substitutiva. Pacientes com LRA apresentaram maior tempo de internação, maior mortalidade e necessitaram de mais internações em UTIs, ventilação mecânica e suporte vasopressor. A análise multivariada mostrou que idade (OR 1,03; IC 95% 1,02-1,04), sexo masculino (OR 2,13; IC 95% 1,49-3,04), diabetes mellitus (DM) (OR 1,55; IC 95% 1,04-2,32), doença renal crônica (DRC) (OR 2,07; IC 95% 1,06-4,04), proteína C reativa (PCR) (OR 1,02; IC 95% 1,00-1,03), admissão em UTI (OR 1,81; IC 95% 1,04-3,16) e suporte vasopressor (OR 7,46; IC 95% 3,34-16,64) foram fatores de risco para LRA, e que bicarbonato (OR 0,89; IC 95% 0,84-0,94) e índice de pressão parcial de oxigênio arterial/fração inspirada de oxigênio (OR 0,99; IC 95% 0,98-0,99) poderiam ser fatores de proteção. Conclusões: Documentou-se alta frequência de LRA em pacientes com COVID-19, com diversos preditores: idade, sexo masculino, DM, DRC, PCR, admissão em UTI e suporte vasopressor. LRA ocorreu mais frequentemente em pacientes com maior gravidade da doença e associou-se a maior mortalidade e piores desfechos.

Estudio de prevalencia, conocimiento y control de la hipertensión arterial en barrios vulnerables de Argentina / Prevalence, knowledge and control of arterial hypertension in vulnerable neighborhoods of Argentina: A Cross-sectional Study

Introducción: La hipertensión arterial (HTA) representa el principal factor de riesgo individual, con mayor carga a nivel mundial de enfermedades cardiovasculares (ECV). En nuestro país, algunos trabajos epidemiológicos han mostrado marcadas diferencias en las prevalencias de estos factores de riesgo de acuerdo con la población evaluada. Sin embargo, no hay estudios epidemiológicos de evaluación de factores de riesgo cardiovascular exclusivos referentes a barrios vulnerables con muy bajos recursos económicos, socioculturales y poca accesibilidad a los sistemas de salud. Materiales y métodos: Estudio observacional de corte transversal multicéntrico en habitantes de comunas vulnerables de muy bajos recursos, como asentamientos populares y barrios carenciados con muestreo aleatorizado simple de casas. Se realizaron tomas de presión arterial (PA), medidas antropométricas, así como cuestionarios epidemiológicos, económicos y socioculturales. Se describen los hallazgos: prevalencia, conocimiento y control de la PA en las distintas regiones. Se efectuó una regresión logística para determinar las variables independientes a los resultados principales. Resultados: Se analizaron 989 participantes. La prevalencia de HTA global fue de 48,2%. Un total de 82% tenía un índice de masa corporal (IMC) >25 kg/m2. De estos pacientes, 45,3% tenían menos de seis años de educación. Este último aspecto se asoció a mayor prevalencia de HTA de forma independiente. De los hipertensos, 44% desconocían su padecimiento y solo en 17,2% estaba controlado, asociándose esto a tener obra social (OS) y mayor nivel educativo. Únicamente 24% estaban bajo tratamiento combinado. Conclusión: La prevalencia de HTA en barrios vulnerables es elevada, superando a la de otros estratos sociales con niveles de conocimiento, tratamiento y control de la HTA bajos, similar a otras poblaciones. Se detectó un uso insuficiente de la terapia combinada.

Introduction: Hypertension (HTN) represents the primary individual risk factor, contributing significantly to the global burden of cardiovascular diseases (CVD). In our country, epidemiological research has highlighted substantial variations in the prevalence of these risk factors across different populations. However, there is a lack of epidemiological studies assessing exclusive cardiovascular risk factors within vulnerable neighborhoods characterized by extremely limited economic resources, sociocultural challenges, and inadequate healthcare access. Methods: A multicenter cross-sectional observational study was conducted among individuals residing in economically deprived and marginalized communities, including informal settlements and underprivileged neighborhoods. Simple random sampling of households was employed. Blood pressure measurements, anthropometric assessments, and epidemiological, economic, and sociocultural questionnaires were administered. Results encompass prevalence rates, awareness levels, and blood pressure control across diverse regions. Logistic regression was utilized to identify independent variables influencing primary outcomes. Results: A total of 989 participants were analyzed. The overall prevalence of hypertension was 48.2%. About 82% had a body mass index (BMI) >25. Approximately 45.3% had less than 6 years of formal education. Independent association was established between education levels below 6 years and higher hypertension prevalence Among hypertensive individuals, 44% were unaware of their condition, with only 17.2% achieving control, correlated with having health insurance and a higher educational background. Merely 24% were receiving combined therapy. Conclusion: The prevalence of hypertension within vulnerable neighborhoods is alarmingly high, surpassing rates in other social strata. Knowledge, treatment, and control levels of hypertension are suboptimal, comparable to other populations... (AU)

Sentimentos da mulher frente a gestação de alto risco / Sentimientos de la mujer frente al embarazo de alto riesgo / Women's feelings facing High-Risk pregnancy

Resumo Introdução: A gestação configura-se como um acontecimento único e memorável para a vida de uma mulher. A gravidez de alto risco é uma experiência estressante em razão dos riscos a que estão submetidos a mãe e o bebê e devido às mudanças que afetam negativamente o seu equilíbrio emocional. Objetivo: Identificar os sentimentos vivenciados pela gestante frente à gravidez de alto risco. Método: Descritivo e exploratório com abordagem qualitativa, com amostra por conveniência composta por mulheres com gestação de alto risco, selecionadas de acordo com a disponibilidade do serviço de internamento, até a saturação das entrevistas. A coleta dos dados foi realizada em um período de dois meses através de entrevistas guiadas por um roteiro. Os dados foram analisados por meio da técnica de análise de conteúdo segundo Minayo. Resultados: Fizeram parte 37 mulheres. Os resultados foram oeganizados nas categorias: Como se deu o diagnóstico de alto risco; Sentimentos ao descobrir que a gestação é/era de risco; Sentimentos em relação ao apoio familiar acerca da gestação de alto risco. Os sentimentos relatados pelas gestantes e puérperas que conviveram com a gravidez de alto risco, deixam evidentes os impactos que este evento traz não somente na saúde física sobretudo para a emocional, deixando as gestantes fragilizadas. Conclusão: Assim, o estudo nos permitiu perceber que os sentimentos vivenciados nesse processo podem interfir na vida dessas mulheres, e de forma negativa. Mas, que apesar dessa situação, estas expressam sentimentos ambíguos, pois mesmo com o risco gestacional, muitas mostram-se felizes pela dádiva de ser mãe.

Resumen Introducción: El embarazo se considera un evento único y memorable en la vida de una mujer. El embarazo de alto riesgo es una experiencia estresante debido a los riesgos a los que están expuestas tanto la madre como su bebé y a los cambios que afectan negativamente su equilibrio emocional. Objetivo: Identificar los sentimientos experimentados por las mujeres embarazadas frente a un embarazo de alto riesgo. Metodología: Descriptivo y exploratorio con enfoque cualitativo, con una muestra a conveniencia compuesta por mujeres con embarazos de alto riesgo, seleccionadas según la disponibilidad del servicio de hospitalización, hasta la saturación de las entrevistas. La recopilación de datos se llevó a cabo durante un período de dos meses a través de entrevistas guiadas. Los datos fueron analizados utilizando la técnica de análisis de contenido según Minayo. Resultados: Participaron 37 mujeres y los resultados se organizaron en las siguientes categorías: cómo se realizó el diagnóstico de alto riesgo; sentimientos al descubrir que el embarazo era de riesgo; sentimientos con respecto al apoyo familiar en relación con el embarazo de alto riesgo. Los sentimientos relatados por las mujeres embarazadas y posparto que vivieron un embarazo de alto riesgo evidencian los impactos que tiene este evento no solo en la salud física sino, especialmente, en el bienestar emocional, pues deja a las mujeres embarazadas en un estado de vulnerabilidad. Conclusión: El estudio nos permitió darnos cuenta de que los sentimientos experimentados en este proceso pueden interferir en la vida de estas mujeres de manera negativa. Sin embargo, a pesar de esta situación, muchas de ellas expresan sentimientos ambiguos, porque, incluso con el riesgo gestacional, están agradecidas por el regalo de la maternidad.

Abstract Introduction: Pregnancy is considered a unique and memorable event in a woman's life. High-risk pregnancy is a stressful experience due to the risks to which the mother and the baby are exposed, and due to the changes that negatively affect their emotional balance. Objective: To identify the feelings experienced by pregnant women facing high-risk pregnancy. Method: Descriptive and exploratory, employing a qualitative approach, the study featured a convenience sample of women with high-risk pregnancies, selected based on inpatient service availability, until interview saturation was achieved. Data collection was conducted over a two-month period through scripted interviews. Data analysis was performed utilizing Minayo's content analysis technique. Results: Thirty-seven women participated in the study. The results were categorized as follows: How the high-risk diagnosis was determined; Feelings upon discovering the pregnancy was high-risk; Feelings regarding family support regarding the high-risk pregnancy. The feelings reported by pregnant and postpartum women who experienced high-risk pregnancies clearly reveal the impacts this event has, not only on physical health, but especially on emotional well-being, leaving the pregnant women in a vulnerable state. Conclusion: The study allowed us to realize that the feelings experienced in this process can negatively interfere in the lives of these women. However, despite this situation, many of them express mixed feelings, because even with the gestational risk, they are grateful for the gift of motherhood.

Comprehensive pan-cancer analysis of inflammatory age-clock-related genes as prognostic and immunity markers based on multi-omics data.

Inflammatory age (iAge) is a vital concept for understanding the intricate interplay between chronic inflammation and aging in the context of cancer. However, the importance of iAge-clock-related genes (iAge-CRGs) across cancers remains unexplored. This study aimed to explore the mechanisms and applications of these genes across diverse cancer types. We analyzed profiling data from over 10,000 individuals, covering 33 cancer types, 750 small molecule drugs, and 24 immune cell types. We focused on DCBLD2's function at the single-cell level and computed an iAge-CRG score using GSVA. This score was correlated with cancer pathways, immune infiltration, and survival. A signature was then derived using univariate Cox and LASSO regression, followed by ROC curve analysis, nomogram construction, decision curve analysis, and immunocytochemistry. Our comprehensive analysis revealed epigenetic, genomic, and immunogenomic alterations in iAge-CRGs, especially DCBLD2, leading to abnormal expression. Aberrant DCBLD2 expression strongly correlated with cancer-associated fibroblast infiltration and prognosis in multiple cancers. Based on GSVA results, we developed a risk model using five iAge-CRGs, which proved to be an independent prognostic index for uveal melanoma (UVM) patients. We also systematically evaluated the correlation between the iAge-related signature risk score and immune cell infiltration. iAge-CRGs, particularly DCBLD2, emerge as potential targets for enhancing immunotherapy outcomes. The strong correlation between abnormal DCBLD2 expression, cancer-associated fibroblast infiltration, and patient survival across various cancers underscores their significance. Our five-gene risk signature offers an independent prognostic tool for UVM patients, highlighting the crucial role of these genes in suppressing the immune response in UVM.Kindly check and confirm whether the corresponding affiliation is correctly identified.I identified the affiliation is correctly.thank you.Per style, a structured abstract is not allowed so we have changed the structured abstract to an unstructured abstract. Please check and confirm.I confirm the abstract is correctly ,thank you.

Effect of lidocaine on intraoperative blood pressure variability in patients undergoing major vascular surgery.

BACKGROUND: Dynamic fluctuations of arterial blood pressure known as blood pressure variability (BPV) may have short and long-term undesirable consequences. During surgical procedures blood pressure is usually measured in equal intervals allowing to assess its intraoperative variability, which significance for peri and post-operative period is still under debate. Lidocaine has positive cardiovascular effects, which may go beyond its antiarrhythmic activity. The aim of the study was to verify whether the use of intravenous lidocaine may affect intraoperative BPV in patients undergoing major vascular procedures. METHODS: We performed a post-hoc analysis of the data collected during the previous randomized clinical trial by Gajniak et al. In the original study patients undergoing elective abdominal aorta and/or iliac arteries open surgery were randomized into two groups to receive intravenous infusion of 1% lidocaine or placebo at the same infusion rate based on ideal body weight, in concomitance with general anesthesia. We analyzed systolic (SBP), diastolic (DBP) and mean arterial blood (MAP) pressure recorded in 5-minute intervals (from the first measurement before induction of general anaesthesia until the last after emergence from anaesthesia). Blood pressure variability was then calculated for SBP and MAP, and expressed as: standard deviation (SD), coefficient of variation (CV), average real variability (ARV) and coefficient of hemodynamic stability (C10%), and compared between both groups. RESULTS: All calculated indexes were comparable between groups. In the lidocaine and placebo groups systolic blood pressure SD, CV, AVR and C10% were 20.17 vs. 19.28, 16.40 vs. 15.64, 14.74 vs. 14.08 and 0.45 vs. 0.45 respectively. No differences were observed regarding type of surgery, operating and anaesthetic time, administration of vasoactive agents and intravenous fluids, including blood products. CONCLUSION: In high-risk vascular surgery performed under general anesthesia, lidocaine infusion had no effect on arterial blood pressure variability. TRIAL REGISTRATION: ClinicalTrials.gov; NCT04691726 post-hoc analysis; date of registration 31/12/2020.

An analysis of factors influencing cognitive dysfunction among older adults in Northwest China based on logistic regression and decision tree modelling.

BACKGROUND: Cognitive dysfunction is one of the leading causes of disability and dependence in older adults and is a major economic burden on the public health system. The aim of this study was to investigate the risk factors for cognitive dysfunction and their predictive value in older adults in Northwest China. METHODS: A cross-sectional study was conducted using a multistage sampling method. The questionnaires were distributed through the Elderly Disability Monitoring Platform to older adults aged 60 years and above in Northwest China, who were divided into cognitive dysfunction and normal cognitive function groups. In addition to univariate analyses, logistic regression and decision tree modelling were used to construct a model to identify factors that can predict the occurrence of cognitive dysfunction in older adults. RESULTS: A total of 12,494 valid questionnaires were collected, including 2617 from participants in the cognitive dysfunction group and 9877 from participants in the normal cognitive function group. Univariate analysis revealed that ethnicity, BMI, age, educational attainment, marital status, type of residence, residency status, current work status, main economic source, type of chronic disease, long-term use of medication, alcohol consumption, participation in social activities, exercise status, social support, total scores on the Balanced Test Assessment, total scores on the Gait Speed Assessment total score, and activities of daily living (ADL) were significantly different between the two groups (all P < 0.05). According to logistic regression analyses, ethnicity, BMI, educational attainment, marital status, residency, main source of income, chronic diseases, annual medical examination, alcohol consumption, exercise status, total scores on the Balanced Test Assessment, and activities of daily living (ADLs) were found to influence cognitive dysfunction in older adults (all P < 0.05). In the decision tree model, the ability to perform activities of daily living was the root node, followed by total scores on the Balanced Test Assessment, marital status, educational attainment, age, annual medical examination, and ethnicity. CONCLUSIONS: Traditional risk factors (including BMI, literacy, and alcohol consumption) and potentially modifiable risk factors (including balance function, ability to care for oneself in daily life, and widowhood) have a significant impact on the increased risk of cognitive dysfunction in older adults in Northwest China. The use of decision tree models can help health care workers better assess cognitive function in older adults and develop personalized interventions. Further research could help to gain insight into the mechanisms of cognitive dysfunction and provide new avenues for prevention and intervention.

African ancestry-derived APOL1 risk genotypes show proximal epigenetic associations.

Apolipoprotein L1 (APOL1) coding variants, termed G1 and G2, are established genetic risk factors for a growing spectrum of diseases, including kidney disease, in individuals of African ancestry. Evidence suggests that the risk variants, which show a recessive mode of inheritance, lead to toxic gain-of-function changes of the APOL1 protein. Disease occurrence and presentation vary, likely due to modifiers or second hits. To understand the role of the epigenetic landscape in relation to APOL1 risk variants, we performed methylation quantitative trait locus (meQTL) analysis to identify differentially methylated CpGs influenced by APOL1 risk variants in 611 African American individuals. We identified five CpGs that were significantly associated with APOL1 risk alleles in discovery and replication studies, and one CpG-APOL1 association was independent of other genomic variants. Our study highlights proximal DNA methylation alterations that may help explain the variable disease risk and clinical manifestation of APOL1 variants.

Analysis of factors influencing vascular calcification in peritoneal dialysis patients and their impact on long-term prognosis.

BACKGROUND: This study aims to investigate the influencing factors of vascular calcification in peritoneal dialysis (PD) patients and its relationship with long-term prognosis. METHODS: This retrospective cohort study included chronic kidney disease patients undergoing peritoneal dialysis at the Peritoneal Dialysis Center of Beijing Luhu Hospital, Capital Medical University, from January 2019 to March 2019. Demographic and clinical laboratory data, including serum sclerostin (SOST), calcium (Ca), phosphate (P), serum albumin (ALB), and intact parathyroid hormone (iPTH) levels, were collected. Abdominal aortic calcification (AAC) was assessed using abdominal lateral X-ray examination to determine the occurrence of vascular calcification, and patients were divided into the AAC group and Non-AAC group based on the results. RESULTS: A total of 91 patients were included in the study. The AAC group consisted of 46 patients, while the Non-AAC group consisted of 45 patients. The AAC group had significantly older patients compared to the non-AAC group (P < 0.001) and longer dialysis time (P = 0.004). Multivariable logistic regression analysis indicated that risk factors for vascular calcification in PD patients included dialysis time, diabetes, hypertension, and SOST. Kaplan-Meier survival analysis showed that the AAC group had a significantly higher mortality rate than the non-AAC group (χ2 = 35.993, P < 0.001). Multivariable Cox regression analysis revealed that dialysis time, diabetes and AAC were risk factors for all-cause mortality in peritoneal dialysis patients. CONCLUSION: Longer dialysis time, comorbid diabetes, comorbid hypertension, and SOST are risk factors for vascular calcification in PD patients. Additionally, AAC, longer dialysis time, and comorbid diabetes are associated with increased risk of all-cause mortality in peritoneal dialysis patients.

Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke.

BACKGROUND: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by its variable and nonspecific symptoms. Timely and accurate diagnosis is crucial for improving patient outcomes. This study aims to enhance the early diagnosis of PCS by employing clinical and demographic data and machine learning. This approach targets a significant research gap in the field of stroke diagnosis and management. METHODS: We collected and analyzed data from a large national Stroke Registry spanning from January 2014 to July 2022. The dataset included 15,859 adult patients admitted with a primary diagnosis of stroke. Five machine learning models were trained: XGBoost, Random Forest, Support Vector Machine, Classification and Regression Trees, and Logistic Regression. Multiple performance metrics, such as accuracy, precision, recall, F1-score, AUC, Matthew's correlation coefficient, log loss, and Brier score, were utilized to evaluate model performance. RESULTS: The XGBoost model emerged as the top performer with an AUC of 0.81, accuracy of 0.79, precision of 0.5, recall of 0.62, and F1-score of 0.55. SHAP (SHapley Additive exPlanations) analysis identified key variables associated with PCS, including Body Mass Index, Random Blood Sugar, ataxia, dysarthria, and diastolic blood pressure and body temperature. These variables played a significant role in facilitating the early diagnosis of PCS, emphasizing their diagnostic value. CONCLUSION: This study pioneers the use of clinical data and machine learning models to facilitate the early diagnosis of PCS, filling a crucial gap in stroke research. Using simple clinical metrics such as BMI, RBS, ataxia, dysarthria, DBP, and body temperature will help clinicians diagnose PCS early. Despite limitations, such as data biases and regional specificity, our research contributes to advancing PCS understanding, potentially enhancing clinical decision-making and patient outcomes early in the patient's clinical journey. Further investigations are warranted to elucidate the underlying physiological mechanisms and validate these findings in broader populations and healthcare settings.

Cross-sectional and longitudinal associations of Iron biomarkers and cardiovascular risk factors in pre- and postmenopausal women: leveraging repeated measurements to address natural variability.

BACKGROUND: The association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status. METHOD: Cross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC). RESULTS: After multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [ß = - 0.59, 95% CI (- 1.10, - 0.08), p = 0.02] and lower diastolic blood pressure [ß = - 7.81, 95% CI (- 15.9, - 0.56), p = 0.04]. CONCLUSION: In cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.

A proposed simplified definition of metabolic syndrome in children and adolescents: a global perspective.

Metabolic syndrome (MetS) is becoming prevalent in the pediatric population. The existing pediatric MetS definitions (e.g., the International Diabetes Federation (IDF) definition and the modified National Cholesterol Education Program (NCEP) definition) involve complex cut-offs, precluding fast risk assessment in clinical practice.We proposed a simplified definition for assessing MetS risk in youths aged 6-17 years, and compared its performance with two existing widely used pediatric definitions (the IDF definition, and the NCEP definition) in 10 pediatric populations from 9 countries globally (n = 19,426) using the receiver operating characteristic (ROC) curve analyses. In general, the total MetS prevalence of 6.2% based on the simplified definition was roughly halfway between that of 4.2% and 7.7% estimated from the IDF and NCEP definitions, respectively. The ROC curve analyses showed a good agreement between the simplified definition and two existing definitions: the total area under the curve (95% confidence interval) of the proposed simplified definition for identifying MetS risk achieved 0.91 (0.89-0.92) and 0.79 (0.78-0.81) when using the IDF or NCEP definition as the gold standard, respectively.The proposed simplified definition may be useful for pediatricians to quickly identify MetS risk and cardiometabolic risk factors (CMRFs) clustering in clinical practice, and allow direct comparison of pediatric MetS prevalence across different populations, facilitating consistent pediatric MetS risk monitoring and the development of evidence-based pediatric MetS prevention strategies globally.

Development and validation of a nomogram for preoperative prediction of ipsilateral cervical central lymph node metastasis in papillary thyroid cancer: a population-based study.

Background: The incidence of papillary thyroid cancer (PTC) has increased dramatically, and it is susceptible to cervical lymph node metastasis (LNM), predominantly in the ipsilateral cervical central lymph node metastasis (CLNM). Ipsilateral cervical CLNM affects patients' surgical options and survival rates. In this study, we integrated multiple factors to establish a nomogram-based preoperative prediction model of ipsilateral cervical CLNM in PTC. Methods: Data were retrospectively collected from 609 patients with PTC admitted to Peking University International Hospital, all of whom underwent ipsilateral cervical lymph node dissection. They were randomly divided into a modeling set and validation set in the ratio of 7:3. Binary logistic regression was used to analyze independent risk factors for ipsilateral cervical CLNM in PTC and to construct a nomogram model. The performance of nomogram CLNM prediction was evaluated by the receiver operating characteristic (ROC) curve and calibration curve. Results: Binary Logistic Regression showed that age, history of osteoporosis, complicated by Hashimoto's thyroiditis, enlarged lymph nodes in the central neck, and extrathyroidal extension were risk factors for ipsilateral cervical CLNM. Combining these five independent risk factors, a nomogram prediction model was developed. In the modeling set, the area under the curve (AUC) of the nomogram ROC was 0.782 [95% confidence interval (CI): 0.730-0.833], and the sensitivity and specificity of the model were 0.761 and 0.763, respectively, with a well-calibrated curve fit. Moreover, the model presented better discrimination than any of the independent risk factors. The nomogram performed well in the validation set (AUC 0.753; 95% CI: 0.648-0.858). Conclusions: A non-invasive, and accurate nomogram prediction model for ipsilateral cervical CLNM of PTC was established. It can help physicians identify patients with a high risk of ipsilateral cervical CLNM of PTC preoperative for individualized treatment.

Increased risk of multiple metastases and worse overall survival of metastatic pancreatic body and tail cancer: a retrospective cohort study.

Background: Pancreatic cancer (PC) is a lethal disease, especially metastatic PC. And it can be divided into two types: head pancreatic cancer (H-PC) and body and tail pancreatic cancer (BT-PC). Prior studies have proved that they have different overall survival (OS) and should be regarded as two different categories of PC. At present, there remains a gap in the field regarding OS across different primary tumor locations and metastatic sites, as well as the metastatic patterns associated with various primary tumor locations in patients with metastatic PC. Thus, our study aims to address this gap by analyzing data from a large population sourced from the Surveillance, Epidemiology, and End Results (SEER) database. The different prognosis of different primary tumor locations and metastatic sites may indicate that different primary locations and metastatic sites may require different therapy and follow-up strategy. It is hoped that these findings will lay the groundwork for future guideline updates and related research. Methods: Patients with pathologically confirmed stage IV metastatic PC from the National Cancer Institute's SEER program between 2010 and 2015 were included, excluding patients with various tumors, without specifying age, specific sites of metastasis, or OS. Data including age, race, gender, tumor size, T stage, N stage, grade, sites, number of metastatic sites, surgery, radiotherapy, chemotherapy and years of diagnoses were collected from the SEER database. OS was defined as the period from initial diagnosis to the date of death. Specific metastatic sites for the different primary locations of tumor were compared. Survival was analyzed by Cox regression analyses. Results: Overall, 14,406 patients with metastatic PC were included in this research (7,104 of H-PC and 7,302 of BT-PC). Gender proportion, tumor size, T stage, N stage, number of metastatic sites surgery of the primary lesions and radiotherapy were different between BT-PC and H-PC. The proportion of only 1 metastatic site was 68.3% in H-PC compared with 58.3% in the BT-PC. The BT-PC was an independent risk factor for liver metastases compared with the H-PC [odds ratio (OR) =1.510; 95% confidence interval (CI): 1.320-1.727]. No matter for those with multiple metastases, or for those with solitary liver or lung metastases, patients with metastatic H-PC showed better OS (P<0.001, P=0.001, P=0.04, respectively). In patients with solitary liver metastases, worse OS was observed in the BT-PC than the H-PC [hazard ratio (HR) =1.109; 95% CI: 1.046-1.175]. Conclusions: The metastatic BT-PC had worse OS and increased risk to suffer from liver and multiple metastases. Moreover, in patients with solitary metastases, those with liver metastases presented poorest survival.

The impact of nodule size on malignancy risk in indeterminate thyroid nodules.

Background: The association between malignancy risk and nodule size in indeterminate thyroid nodules (ITNs) remains controversial. Thus, we aimed to explore the impact of nodule size as a predictor of cancer in patients with ITNs. Methods: This cross-sectional study assessed 113 patients who underwent surgical intervention for ITNs, comparing two groups based on nodule size (≥4 or <4 cm). The correlation between nodule size and malignancy risk was examined. Other variables of interest included demographics, thyroid-stimulating hormone (TSH) levels, type of surgery, and ultrasound features. Results: Of the 113 patients, 88.5% were aged <55 years, 76.1% were women, and 65.5% had nodules <4 cm. Mean nodule size was 3.4±2.3 cm. There was no significant correlation between malignancy risk and nodule size (P=0.55). An association was observed between <4 cm nodules and elevated TSH levels (P=0.03) and between ≥4 cm nodules and the presence of hypervascularity (P=0.04). Nodules <4 cm were more likely to have extrathyroidal extension, lymphovascular invasion, and positive margins than those ≥4 cm; however, this was not significant. Conclusions: Our findings showed no association between nodule size and malignancy risk, suggesting that size alone is not a predictor of cancer development. Further prospective studies are required to confirm these results.

Suicide and its risk factors - An ecological study.

BACKGROUND: There is tremendous variation in both the prevalence of suicide and the factors that contribute to its occurrence across geographic locations, cultures, and time. Therefore, the present study aims to identify the various socio-demographic risk factors and psychosocial stressors using population data. MATERIALS AND METHODS: The countries that were included in the study were based on data from the World Health Organization. We considered the top ten suicide countries and the ten lowest suicide nations. We searched five global databases for the most recent socio-demographic data and data on psychosocial stressors during the period of August and September 2022. We analyzed the correlation between suicide rates and various factors, and we considered a P value of less than 0.05 to be statistically significant. RESULTS: The correlation of suicide with sociodemographic factors like age (P 0.246), gender (male, P 0.357, and female, P 0.357), net enrolment rate (P 0.725), gender parity index (P 0.929), urban population percentage (P 0.571), marital status (male, P 0.345, and female, P 0.752), and literacy rate percentage (P 0.199) was not significant. The correlation of suicide with psychosocial stressors like unemployment percentage (P 0.552), alcoholism percentage (P 0.271), the prevalence of depression (P 0.523), the number of psychiatrists (P 0.605), the number of mental hospitals (r = -0.090, P 0.713), and the poverty rate percentage (P 0.538) were also not significant. CONCLUSION: Suicide is a major public health issue, yet global suicide data is scarce. Sociodemographic factors like age, urbanization, and literacy rate were negatively correlated, whereas psychosocial stressors like unemployment, alcohol misuse, and poverty were positively correlated, but none were significantly associated.

Prediction model of deep vein thrombosis risk after lower extremity orthopedic surgery.

Purpose: This investigation was conceived to engineer and appraise a pioneering clinical nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk stratification for deep vein thrombosis (DVT) in the aftermath of lower extremity orthopedic procedures. This novel tool offers a sophisticated and discerning algorithm for risk prediction, heretofore unmet by existing methodologies. Methods: In this retrospective observational study, clinical records of hospitalized patients who underwent lower extremity orthopedic surgery were collected at the Wuxi TCM Hospital Affiliated to the Nanjing University of Chinese Medicine between Jan 2017 and Oct 2019. The univariate and multivariate analysis with the backward stepwise method was applied to select features for the predictive nomogram. The performance of the nomogram was evaluated with respect to its discriminant capability, calibration ability, and clinical utility. Result: A total of 5773 in-hospital patients were eligible for the study, with the incidence of deep vein thrombosis being approximately 1 % in this population. Among 31 variables included, 5 of them were identified to be the predictive features in the nomogram, including age, mean corpuscular hemoglobin concentration (MCHC), D-dimer, platelet distribution width (PDW), and thrombin time (TT). The area under the receiver operating characteristic (ROC) curve in the training and validation cohort was 85.9 % (95%CI: 79.96 %-90.04 %) and 85.7 % (95%CI: 78.96 %-90.69 %), respectively. Both the calibration curves and decision curve analysis demonstrated the overall satisfactory performance of the model. Conclusion: Our groundbreaking nomogram is distinguished by its unparalleled accuracy in discriminative and calibrating functions, complemented by its tangible clinical applicability. This innovative instrument is set to empower clinicians with a robust framework for the accurate forecasting of postoperative DVT, thus facilitating the crafting of bespoke and prompt therapeutic strategies, aligning with the rigorous standards upheld by the most esteemed biomedical journals.

Algorithm for community security risk assessment and influencing factors analysis by back propagation neural network.

This paper aims to accurately assess and effectively manage various security risks in the community and overcome the challenges faced by traditional models in handling large amounts of features and high-dimensional data. Hence, this paper utilizes the back propagation neural network (BPNN) to optimize the security risk assessment model. A key challenge of researching community security risk assessment lies in accurately identifying and predicting a range of potential security threats. These threats may encompass natural disasters, public health crises, accidents, and social security issues. The intricate interplay of these risk factors, combined with the dynamic nature of community environments, presents difficulties for traditional risk assessment methodologies to address effectively. Initially, this paper delves into the factors influencing safety incidents within communities and establishes a comprehensive system of safety risk assessment indicators. Leveraging the adaptable and generalizable nature of the BPNN model, the paper proceeds to optimize the BPNN model, enhancing the security risk assessment model through this optimization. Subsequent comparison experiments with traditional models validate the rationality and effectiveness of the proposed model, with hidden layer nodes set at various levels like 10, 15, 20, 25, 30, and 35. These traditional models include Convolutional Neural Network (CNN), Long Short-Term Memory Network (LSTM), Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-trained Transformer (GPT), and eXtreme Gradient Boosting (XGBOOST). Experimental findings demonstrate that with 20 hidden layer nodes, the optimized model achieves a remarkable final recognition accuracy of 99.1 %. Moreover, the optimized model exhibits significantly lower final function loss compared to models with different node numbers. Increasing the number of hidden layer nodes may diminish the optimized model's fit and accuracy. Comparison with traditional models reveals that the average accuracy of the optimized model in community risk identification reaches 98.5 %, with a maximum accuracy of 99.6 %. This marks an improvement of 9%-11 % in recognition accuracy across various risk factors compared to traditional models. Regarding system response time and resource utilization, the optimized model exhibits a response time ranging from 100 ms to 120 ms and consistently lower resource utilization rates across all scenarios, underscoring its efficiency in community security risk assessment. In conclusion, this experiment sheds light on the underlying mechanisms and patterns of community safety risk formation, offering novel perspectives and methodologies for researching community safety risk assessment. The paper concludes by presenting recommendations and strategies for addressing community safety risks based on experimental analysis.

Updating risk remediation-endpoints for petroleum-contaminated soils? A case study in the Ecuadorian Amazon region.

In Ecuador, the regulatory framework for the remediation of petroleum-contaminated soils is based on predefined concentration endpoints for a selected range of petroleum hydrocarbon compounds. However, such approach may lead to over or under-estimation of the environmental risk posed by contaminated soils. In this study, the end-point remediation criteria according to Ecuadorian Environmental legislation were evaluated using different approaches. The first one was based on Total Extractable Petroleum Hydrocarbons (TEPH) and the second one on Total Bioavailable Petroleum Hydrocarbons (TBPH). Both were compared with ecotoxicological determinations using EC50 -Microtox® bioassay at 5 and 15 min of exposure. The correlation (R2) between EC50 values vs TEPH was of 0.2 and 0.25 for 5 and 15 min, respectively. Meanwhile, R2 between EC50 and TBPH was of 0.9 and 0.65 for 5 and 15 min, respectively, demonstrating a stronger correlation. Our results suggest that a contaminated site where the concentration of the TEPH is higher than the relevant regulatory concentrations may be deemed to present an acceptable risk even though their concentrations exceed the target values in soils. The results also challenge the notion that hormesis is associated with TEPH, contrary to some literature. This study is the first in Ecuador to propose incorporating bioavailability into environmental regulations, highlighting the need for further research to establish realistic and achievable remediation goals based on toxicity studies involving various trophic levels.

The formation and evolution of vulnerability risk of rural poor groups under the perspective of social support -- based on the analysis of "sensitivity-resilience".

The anticipated sensitivity and resilience practices of the poor groups expose them to significant vulnerability risks, with social support actions arising from the return to poverty posing additional interference. To comprehensively prevent and mitigate vulnerability risks, breakthroughs in corresponding social support are essential. This study, through questionnaire surveys and semi-structured interviews, collected original data from 750 impoverished households in Lantian County, northwest China. Using a bottom-up approach, it constructed a "sensitivity-resilience" framework to assess the vulnerability and resilience mechanisms of the relatively poor groups. The research reveals that vulnerability and resilience interact in response to risk shocks. The strong livelihood dependence, capital accumulation deficiency, and sensitivity characteristics of social marginalization among rural relatively poor groups, coupled with fragmented and inefficient social support, exacerbate the degree of vulnerability risks, leading to an amplification of sensitivity and a reduction in resilience. Based on these findings, targeted at the characteristics of vulnerability risks and the fatigue factors of social support, this study proposes policy recommendations at two levels: system reengineering to reduce sensitivity and long-term reengineering to enhance resilience, aiming to prevent large-scale return to poverty.