Development and validation of machine learning models for nonalcoholic fatty liver disease.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) had become the most prevalent liver disease worldwide. Early diagnosis could effectively reduce NAFLD-related morbidity and mortality. This study aimed to combine the risk factors to develop and validate a novel model for predicting NAFLD. METHODS: We enrolled 578 participants completing abdominal ultrasound into the training set. The least absolute shrinkage and selection operator (LASSO) regression combined with random forest (RF) was conducted to screen significant predictors for NAFLD risk. Five machine learning models including logistic regression (LR), RF, extreme gradient boosting (XGBoost), gradient boosting machine (GBM), and support vector machine (SVM) were developed. To further improve model performance, we conducted hyperparameter tuning with train function in Python package 'sklearn'. We included 131 participants completing magnetic resonance imaging into the testing set for external validation. RESULTS: There were 329 participants with NAFLD and 249 without in the training set, while 96 with NAFLD and 35 without were in the testing set. Visceral adiposity index, abdominal circumference, body mass index, alanine aminotransferase (ALT), ALT/AST (aspartate aminotransferase), age, high-density lipoprotein cholesterol (HDL-C) and elevated triglyceride (TG) were important predictors for NAFLD risk. The area under curve (AUC) of LR, RF, XGBoost, GBM, SVM were 0.915 [95% confidence interval (CI): 0.886-0.937], 0.907 (95% CI: 0.856-0.938), 0.928 (95% CI: 0.873-0.944), 0.924 (95% CI: 0.875-0.939), and 0.900 (95% CI: 0.883-0.913), respectively. XGBoost model presented the best predictive performance, and its AUC was enhanced to 0.938 (95% CI: 0.870-0.950) with further parameter tuning. CONCLUSIONS: This study developed and validated five novel machine learning models for NAFLD prediction, among which XGBoost presented the best performance and was considered a reliable reference for early identification of high-risk patients with NAFLD in clinical practice.

A systematic review of the efficacy of donepezil hydrochloride combined with nimodipine on treating vascular dementia.

BACKGROUND: Vascular dementia (VaD) is a comprehensive syndrome related to the damage of cognitive function and various cerebral vascular illnesses. VaD is also generally recognized as the second most common type of dementia after Alzheimer disease, contributing to 30% of the dementia population in Asia and developing countries. The ability of donepezil hydrochloride and nimodipine had been respectively proven in improving cognitive function in vascular dementia. However, whether the combined application of both drugs contribute to better efficacy remains as a research hotspot. Studies had shown definite satisfactory result with such combination, however evidence-based evaluation of the efficacy is still lacking. Therefore, meta-analysis is employed in this study to evaluate the efficacy and safety of using donepezil hydrochloride combined with nimodipine in treating VaD to provide references for clinical treatments. The efficacy of donepezil hydrochloride combined with nimodipine on treating vascular dementia is systematically reviewed to provide evidence-based references for clinical applications. METHODS: Both Chinese and English databases were searched from the start till August, 2020 for any RCT regarding the combined use of the 2 drugs in treating vascular dementia. Two investigators would later evaluate and screened out research and data based on an improved Jaded scale. Software Rev Man 5.3.0 was employed to carry out meta-analysis on clinical effificacy, mini-mental state examination (MMSE) ratings, activity of daily living (ADL) ratings, and clinical dementia scale (CDR) ratings. RESULTS: Donepezil hydrochloride combined with nimodipine had demonstrated satisfactory efficacy on the treatment of vascular dementia. Improvements were namely spotted on MMSE scale, ADL scale, and CDR scale, with the utmost efficacy by 12 weeks after intervention. CONCLUSIONS: Donepezil hydrochloride combined with nimodipine had good efficacy in the treatment of patients with vascular dementia, mainly in terms of improving the Simple MMSE scores, the ability to use daily living scale (ADL) scores and the CDR, and the best results were obtained after 12 weeks of intervention. Such conclusion should be cautiously evaluated.

Patients with different types of arthritis may be at risk for major depression: results from the National Health and Nutrition Examination Survey 2007-2018.

BACKGROUND: Arthritis is one of the common causes of physical pain and disability, which often makes patients fall into major depression. However, the correlation between arthritis and major depression, and how different types of arthritis correspond to major depression remain to be explored. The purpose of this study is to explore the relationship between arthritis and major depression. METHODS: Arthritis status was reported by participants themselves, and the Patient Health Questionnaire-9 in National Health and Nutrition Examination Survey (NHANES) was used to evaluate major depression, logistic regression was used to evaluate the relationship between arthritis and major depression. RESULTS: We analyzed the data of 25,990 adults who participated in the NHANES from 2007 to 2018. Participants with major depression were more likely to be female, Hispanic, smoker, less educated, less recreational activities, poverty-to-income ratio <5, coronary heart disease, stroke, cancer or malignant tumor, diabetes, hypertension and higher body mass index (BMI). Arthritis was significantly correlated with major depression (25.4% vs. 44.9%; P<0.001), even after adjusting for gender, age, race, BMI, PIR, education, marriage, moderate recreational activities, smoking, history of coronary heart disease, stroke, cancer or malignant tumor, diabetes, and hypertension (OR =2.30, 95% CI, 2.06-2.56, P<0.001). Subgroup analysis showed that compared with degenerative arthritis, rheumatoid arthritis (RA), or other arthritis, psoriatic arthritis (PsA) had the greatest influence on major depression patients. CONCLUSIONS: All patients with arthritis, especially PsA, may have the risk of major depression. Psychological intervention necessary for patients with arthritis.

[Acupoint selection rules in treating gastroesophageal reflux disease with acupuncture in China based on data mining].

OBJECTIVE: To analyze the rules of acupoint selection in the treatment of gastroesophageal reflux disease in China using data mining technology. METHODS: The published literature of treating gastroesophageal reflux disease with acupuncture was retrieved from electronic databases from January 1, 1983 to December 1, 2019, including SinoMed, CNKI, Wanfang and VIP database. Acupuncture prescription database was established, and the rules of acupoint selection were explored by statistical software SPSS 20.0 and SPSS Modeler 18.0. RESULTS: A total of 92 articles were included into this analysis, involving 92 acupuncture prescriptions, 76 acupoints. The total frequency of using these acupoints reached 549 times. Zhongwan (CV 12) was the most frequently used acupoint; the often selected meridians were conception vessel, stomach meridian, governor vessel, bladder meridian; the acupoints located at the abdomen, lower limbs and back were commonly selected; crossing points in the specific acupoints were commonly selected; the most frequently used group was Zusanli (ST 36)-Zhongwan (CV 12) and Neiguan (PC 6). CONCLUSION: Treating gastroesophageal reflux disease by acupuncture in China is dominated by shu-mu point combination, supplemented by mu-he point combination; yin meridians are emphasized as much as yang meridians; using specific acupoints is advocated, especially the crossing points.