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Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

World Journal of Clinical Cases 2023年第29期11卷 7004-7016页

作者： Chao-Hung Chen Chun-Kai Wang Chen-Yu Wang Chun-Feng Chang Ta-Wei Chu Division of Urology Department of SurgeryKaohsiung Armed Forces General HospitalKaohsiung 802TaiwanChina Division of Urology Department of SurgeryChang Gung Memorial HospitalKeelung 204TaiwanChina Department of Obstetrics and Gynecology Zuoying Branch of Kaohsiung Armed Forces General HospitalKaohsiung 813TaiwanChina Department of Obstetrics and Gynecology Tri-Service General HospitalNational Defense Medical CenterTaipei 114TaiwanChina Division of Urology Department of SurgeryTri-Service General HospitalNational Defense Medical CenterTaipei 114TaiwanChina Chief Executive Officer's Office MJ Health Research FoundationTaipei 114TaiwanChina

BACKGROUND The incidence of chronic kidney disease(CKD)has dramatically increased in recent years,with significant impacts on patient mortality *** studies have identified multiple risk factors for CKD,but they mostly relied on the use of traditional statistical methods such as logistic regression and only focused on a few risk *** To determine factors that can be used to identify subjects with a low estimated glomerular filtration rate(L-eGFRbiochemistry *** 2 added lifestyle data to Model 1,and Model 3 added inflammatory markers to Model *** machine learning methods were used:Multivariate adaptive regression splines,eXtreme Gradient Boosting,stochastic gradient boosting,Light Gradient Boosting Machine,and Categorical Features+Gradient *** criteria included accuracy,sensitivity,specificity,area under the receiver operating characteristic curve(AUC),F-1 score,and balanced *** A trend of increasing AUC of each was observed from Model 1 to Model 3 and reached statistical *** 3 selected uric acid as the most important risk factor,followed by age,hemoglobin(Hb),body mass index(BMI),sport hours,and systolic blood pressure(SBP).CONCLUSION Among all the risk factors including demographic,biochemistry,and lifestyle risk factors,along with inflammation markers,UA is the most important risk factor to identify L-eGFR,followed by age,Hb,BMI,sport hours,and SBP in a cohort of elderly Chinese people.

关键词： biochemistry data Lifestyle Machine learning Renal function

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Exploring multifaceted factors in chronic kidney disease risk: A comprehensive analysis of biochemistry, lifestyle, and inflammation in elderly Chinese individuals

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World Journal of Clinical Cases 2024年第5期12卷 1033-1035页

作者： Fernando Cardona Unitat de Genètica Molecular Instituto de Biomedicina de Valencia–CSICValencia 46010Spain Centro de investigación Biomédica en Red Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos IIIMadrid 28029Spain Departamento de Biotecnología Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural(ETSIAMN)Univeristat Politècnica de ValenciaValencia 46022Spain

This letter praises a recent article in the World Journal of Clinical Cases(Roles of biochemistry data,lifestyle,and inflammation in identifying abnormal renal function in old Chinese),examining factors affecting abnormal renal function in elderly Chinese using advanced machine *** highlights the importance of uric acid,age,hemoglobin,body mass index,sport hours,and systolic blood *** study's holistic approach,integrating lifestyle and inflammation,offers a nuanced understanding of chronic kidney disease risk *** letter suggests exploring mechanistic pathways of hyperuricemia,the link between anemia and renal function,and the connection between body mass index and estimated glomerular filtration *** advocates investigating physical activity's impact on renal health and the independent effects of blood *** study significantly contributes to chronic kidney disease understanding,proposing avenues for further exploration and *** are extended to the authors and the journal.

关键词： biochemistry data Lifestyle Machine learning Renal function

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