Identification for heavy metals exposure on osteoarthritis among aging people and Machine learning for prediction: A study based on NHANES 2011-2020

Abstract

ObjectiveHeavy metals are present in many environmental pollutants, and have cumulative effects on the human body through water or food, which can lead to several diseases, including osteoarthritis (OA). In this research, we aimed to explore the association between heavy metals and OA.MethodsWe extracted 18 variables including age, gender, race, education level, marital status, smoking status, body mass index (BMI), physical activity, diabetes mellitus, hypertension, poverty level index (PLI), Lead (Pb), cadmium (Cd), mercury (Hg), selenium (Se), manganese (Mn), and OA status from National Health and Nutrition Examination Survey (NHANES) 2011-2020 datasets.ResultsIn the baseline data, the t test and Chi-square test were conducted. For heavy metals, quartile description and limit of detection (LOD) were adopted. To analyze the association between heavy metals and OA among elderly subjects, multivariable logistic regression was conducted and subgroup logistic by gender was also carried out. Furthermore, to make predictions based on heavy metals for OA, we compared eight machine learning algorithms, and XGBoost (AUC of 0.8, accuracy value of 0.773, and kappa value of 0.358) was the best machine learning model for prediction. For interactive use, a shiny application was made (https://alanwu.shinyapps.io/NHANES-OA/).ConclusionThe overall and gender subgroup logistic regressions all showed that Pb and Cd promoted the prevalence of OA while Mn could be a protective factor of OA prevalence among the elderly population of the United States. Furthermore, XGBoost model was trained for OA prediction.

RETRACTED: Meta analysis of clinical prognosis of radiofrequency ablation versus partial nephrectomy in the treatment of early renal cell carcinoma

“…It is a liquefaction foci or fibrous tissue (23). Previous studies have pointed out that radiofrequency ablation can be divided into two processes: the first process is cell necrosis directly caused by heat injury, and the second to third weeks is a subacute process, caused by microvascular embolism and ischemia (25)(26)(27)(28)(29). The patient was basically stable one month after operation.…”

Association between skin disease and anxiety: a logistic analysis and prediction

“…The increased activity of the amygdala also activates the HPA axis, stimulates the release of corticotropin-releasing hormone, induces skin inflammation through mast cell degranulation, and enhances vascular permeability. Stress could also activate dendritic cells in the skin, leading to the release of neurotransmitters and catecholamines through nerve endings in the skin, aggravating skin diseases (35)(36)(37)(38)(39)(40).…”

Relationship of blood heavy metals and osteoporosis among the middle-aged and elderly adults: A secondary analysis from NHANES 2013 to 2014 and 2017 to 2018

“…Dilution of blood includes simple dilution of 1 part sample + 1 part water + 48 parts diluent during sample preparation before analysis. Liquid samples were introduced into the mass spectrometer through the inductively coupled plasma ionization ion source ( 17 ).…”