Predictive Modeling of Chronic Kidney Disease with Hypertension or Diabetes Based on Machine Learning Algorithms / 昆明医科大学学报

Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.

Neuronal intranuclear inclusion disease presented with stroke-like onset: a case report / 中华神经科杂志

Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disease, characterized by eosinophilic transparent inclusions in the central and peripheral nervous systems, and internal organs. NIID clinical characteristics are varied, including cognitive impairment, muscle weakness, episodic symptoms, movement disorders and autonomic dysfunction. This article reports a patient with NIID who manifested with episodes of aphasia, dysgraphia and dyslexia without fever, headache, nausea and vomiting confirmed by genetic testing. The patient was a 62-year-old female with acute onset who was diagnosed with transient ischemic attack. This article aims to improve the knowledge of NIID with stroke-like onset by this case presentation and avoid misdiagnosis.