ArticleBMC medical research methodology2020
Application of principal component analysis and logistic regression model in lupus nephritis patients with clinical hypothyroidism.
Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 15 citations in OpenAlex.
- Guiding esophagectomy with intraoperative NIR-II fluorescence video imaging and rapid computation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques.Scientific reports · 2025Article
- Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus.Brain, behavior, & immunity - health · 2023Article
- Dealing With Missing, Imbalanced, and Sparse Features During the Development of a Prediction Model for Sudden Death Using Emergency Medicine Data: Machine Learning Approach.JMIR medical informatics · 2023Article
- Hashimoto's thyroiditis, vitiligo, anemia, pituitary hyperplasia, and lupus nephritis-A case report of autoimmune polyglandular syndrome type III C + D and literature review.Frontiers in pediatrics · 2023Article
- Evaluation of Risk Factors for Chronic Obstructive Pulmonary Disease in the Middle-Aged and Elderly Rural Population of Northeast China Using Logistic Regression and Principal Component Analysis.Risk management and healthcare policy · 2022Article
- Heart Failure and PAHs, OHPAHs, and Trace Elements Levels in Human Serum: Results from a Preliminary Pilot Study in Greek Population and the Possible Impact of Air Pollution.Molecules (Basel, Switzerland) · 2021Article
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3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPrevious studies indicate that the prevalence of hypothyroidism is much higher in patients with lupus nephritis (LN) than in the general population, and is associated with LN's activity. Principal component analysis (PCA) and logistic regression can help determine relevant risk factors and identify LN patients at high risk of hypothyroidism; as such, these tools may prove useful in managing this disease.
methodsWe carried out a cross-sectional study of 143 LN patients diagnosed by renal biopsy, all of whom had been admitted to Xiangya Hospital of Central South University in Changsha, China, between June 2012 and December 2016. The PCA-logistic regression model was used to determine the influential principal components for LN patients who have hypothyroidism.
resultsOur PCA-logistic regression analysis results demonstrated that serum creatinine, blood urea nitrogen, blood uric acid, total protein, albumin, and anti-ribonucleoprotein antibody were important clinical variables for LN patients with hypothyroidism. The area under the curve of this model was 0.855.
conclusionThe PCA-logistic regression model performed well in identifying important risk factors for certain clinical outcomes, and promoting clinical research on other diseases will be beneficial. Using this model, clinicians can identify at-risk subjects and either implement preventative strategies or manage current treatments.
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