PMID- 36709366
OWN - NLM
STAT- MEDLINE
DCOM- 20230131
LR  - 20230314
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 13
IP  - 1
DP  - 2023 Jan 28
TI  - Using Bayesian networks with Tabu-search algorithm to explore risk factors for 
      hyperhomocysteinemia.
PG  - 1610
LID - 10.1038/s41598-023-28123-z [doi]
LID - 1610
AB  - Hyperhomocysteinemia (HHcy) is a condition closely associated with cardiovascular 
      and cerebrovascular diseases. Detecting its risk factors and taking some relevant 
      interventions still represent the top priority to lower its prevalence. Yet, in 
      discussing risk factors, Logistic regression model is usually adopted but 
      accompanied by some defects. In this study, a Tabu Search-based BNs was first 
      constructed for HHcy and its risk factors, and the conditional probability 
      between nodes was calculated using Maximum Likelihood Estimation. Besides, we 
      tried to compare its performance with Hill Climbing-based BNs and Logistic 
      regression model in risk factor detection and discuss its prospect in clinical 
      practice. Our study found that Age, sex, alpha1-microgloblobumin to creatinine ratio, 
      fasting plasma glucose, diet and systolic blood pressure represent direct risk 
      factors for HHcy, and smoking, glycosylated hemoglobin and BMI constitute 
      indirect risk factors for HHcy. Besides, the performance of Tabu Search-based BNs 
      is better than Hill Climbing-based BNs. Accordingly, BNs with Tabu Search 
      algorithm could be a supplement for Logistic regression, allowing for exploring 
      the complex network relationship and the overall linkage between HHcy and its 
      risk factors. Besides, Bayesian reasoning allows for risk prediction of HHcy, 
      which is more reasonable in clinical practice and thus should be promoted.
CI  - (c) 2023. The Author(s).
FAU - Song, Wenzhu
AU  - Song W
AD  - School of Public Health, Shanxi Medical University, No.56 Xinjian South Road, 
      Taiyuan, 030001, Shanxi, China.
FAU - Qin, Zhiqi
AU  - Qin Z
AD  - Department of Biochemistry and Molecular Biology, School of Basic Medicine, 
      Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
FAU - Hu, Xueli
AU  - Hu X
AD  - School of Public Health, Shanxi Medical University, No.56 Xinjian South Road, 
      Taiyuan, 030001, Shanxi, China.
FAU - Han, Huimin
AU  - Han H
AD  - Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of 
      Shanxi Medical University, Taiyuan, 030012, China.
FAU - Li, Aizhong
AU  - Li A
AD  - Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, 030012, China.
FAU - Zhou, Xiaoshaung
AU  - Zhou X
AD  - Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of 
      Shanxi Medical University, Taiyuan, 030012, China.
FAU - Li, Yafeng
AU  - Li Y
AD  - Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of 
      Shanxi Medical University, Taiyuan, 030012, China. dr.yafengli@gmail.com.
AD  - Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, 030012, China. 
      dr.yafengli@gmail.com.
AD  - Core Laboratory, Shanxi Provincial People's Hospital (Fifth Hospital) of Shanxi 
      Medical University, Taiyuan, 030012, China. dr.yafengli@gmail.com.
AD  - Academy of Microbial Ecology, Shanxi Medical University, Taiyuan, 030012, China. 
      dr.yafengli@gmail.com.
FAU - Li, Rongshan
AU  - Li R
AD  - Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital) of 
      Shanxi Medical University, Taiyuan, 030012, China. rongshanli13@163.com.
AD  - Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, 030012, China. 
      rongshanli13@163.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20230128
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
RN  - 0LVT1QZ0BA (Homocysteine)
SB  - IM
MH  - Humans
MH  - *Hyperhomocysteinemia
MH  - Bayes Theorem
MH  - Risk Factors
MH  - Smoking
MH  - Algorithms
MH  - Homocysteine
PMC - PMC9884210
COIS- The authors declare no competing interests.
EDAT- 2023/01/29 06:00
MHDA- 2023/02/01 06:00
PMCR- 2023/01/28
CRDT- 2023/01/28 23:53
PHST- 2022/06/02 00:00 [received]
PHST- 2023/01/13 00:00 [accepted]
PHST- 2023/01/29 06:00 [pubmed]
PHST- 2023/02/01 06:00 [medline]
PHST- 2023/01/28 23:53 [entrez]
PHST- 2023/01/28 00:00 [pmc-release]
AID - 10.1038/s41598-023-28123-z [pii]
AID - 28123 [pii]
AID - 10.1038/s41598-023-28123-z [doi]
PST - epublish
SO  - Sci Rep. 2023 Jan 28;13(1):1610. doi: 10.1038/s41598-023-28123-z.