In the study of age estimation in living individuals,a lot of data needs to be analyzed by mathematical statistics,and reasonable medical statistical methods play an important role in data design and analysis.The selection of accurate and appropriate statistical methods is one of the key factors af-fecting the quality of research results.This paper reviews the principles and applicable principles of the commonly used medical statistical methods such as descriptive statistics,difference analysis,consistency test and multivariate statistical analysis,as well as machine learning methods such as shallow learning and deep learning in the age estimation research of living individuals,and summarizes the relevance and application prospects between medical statistical methods and machine learning methods.This paper aims to provide technical guidance for the age estimation research of living individuals to obtain more scientific and accurate results.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Objective To investigate the value of serum lactate dehydrogenase (LDH), β₂-microglobulin (β₂-MG) and serum ferritin (SF) combined with the modified WHO-based Prognostic Scoring System (WPSS) score in predicting poor prognosis of patients with myelodysplastic syndrome (MDS). Methods A total of 110 patients with MDS were selected as the research objects, and serum levels of LDH, β₂-MG and SF were detected. The patients were divided into death group and survival group according to their survival status, and the serum levels of LDH, β₂-MG and SF as well as the modified WPSS score were compared between the two groups. The risk factors for poor prognosis in MDS patients and the predictive values of serum LDH, β₂-MG, SF and modified WPSS score alone and their combination for poor prognosis in MDS patients were analyzed. Results The incidence of poor prognosis in MDS patients was 40.20% (41/102). The serum levels of LDH, β₂-MG and SF, the modified WPSS score, and the ratio of adverse karyotype prognosis in the death group were significantly higher than those in the survival group (P < 0.05). The results of Cox regression model analysis showed that elevated serum levels of LDH, β₂-MG and SF, elevated modified WPSS score, and adverse karyotype prognosis were risk factors for poor prognosis in MDS patients (P < 0.05). The results of receiver operating characteristic (ROC) curve analysis showed that the combination of serum LDH, β₂-MG, SF levels and modified WPSS score had a sensitivity of 95.12% and an area under the curve (AUC) of 0.918 for predicting poor prognosis in MDS patients, which were significantly higher than those of each indicator alone (P < 0.05). Conclusion Serum LDH, β₂-MG, SF levels and modified WPSS score have certain predictive value for poor prognosis in MDS patients, but the combined prediction value of the four indicators is higher.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

OBJECTIVE: Tumor-derived exosomes (TDEs) play crucial roles in intercellular communication. Hypoxia in the tumor microenvironment enhances secretion of TDEs and accelerates tumor metastasis. Jiedu recipe (JR), a traditional Chinese medicinal formula, has demonstrated efficacy in preventing the metastasis of hepatocellular carcinoma (HCC). However, the underlying mechanism remains largely unknown. METHODS: Animal experiments were performed to investigate the metastasis-preventing effects of JR. Bioinformatics analysis and in vitro assays were conducted to explore the potential targets and active components of JR. TDEs were assessed using nanoparticle tracking analysis (NTA) and Western blotting (WB). Exosomes derived from normoxic or hypoxic HCC cells (H-TDEs) were collected to establish premetastatic mouse models. JR was intragastrically administered to evaluate its metastasis-preventive effects. WB and lysosomal staining were performed to investigate the effects of JR on lysosomal function and autophagy. Bioinformatics analysis, WB, NTA, and immunofluorescence staining were used to identify the active components and potential targets of JR. RESULTS: JR effectively inhibited subcutaneous-tumor-promoted lung premetastatic niche development and tumor metastasis. It inhibited the release of exosomes from tumor cells under hypoxic condition. JR treatment promoted both lysosomal acidification and suppressed secretory autophagy, which were dysregulated in hypoxic tumor cells. Quercetin was identified as the active component in JR, and the epidermal growth factor receptor (EGFR) was identified as a potential target. Quercetin inhibited EGFR phosphorylation and promoted the nuclear translocation of transcription factor EB (TFEB). Hypoxia-impaired lysosomal function was restored, and secretory autophagy was alleviated by quercetin treatment. CONCLUSION JR suppressed HCC metastasis by inhibiting hypoxia-stimulated exosome release, restoring lysosomal function, and suppressing secretory autophagy. Quercetin acted as a key component of JR and regulated TDE release through EGFR-TFEB signaling. Our study provides a potential strategy for retarding tumor metastasis by targeting H-TDE secretion. Please cite this article as: Jia WT, Xiang S, Zhang JB, Yuan JY, Wang YQ, Liang SF, Lin WF, Zhai XF, Shang Y, Ling CQ, Cheng BB. Jiedu recipe, a compound Chinese herbal medicine, suppresses hepatocellular carcinoma metastasis by inhibiting the release of tumor-derived exosomes in a hypoxic microenvironment through the EGFR-TFEB signaling pathway. J Integr Med. 2024; 22(6): 697-709.
Exosomes/drug effects* ; Animals ; Carcinoma, Hepatocellular/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Liver Neoplasms/pathology* ; Tumor Microenvironment/drug effects* ; Mice ; Humans ; Cell Line, Tumor ; Mice, Inbred BALB C ; Neoplasm Metastasis ; Male ; Mice, Nude

With the determination of the whole genome sequence of varicella-zoster virus (VZV) virus, the successful breakthrough of infectious cloning technology of VZV, and the emergence of effective preventive vaccines, which have been proven to be effective and safe, varicella has become a disease preventable by specific immunity. This article will review the genomic structure, epidemiological characteristics, and research application progress of varicella vaccine and herpes zoster vaccine of varicella zoster virus to provide reference for primary prevention of the disease.
Humans ; Herpesvirus 3, Human/genetics* ; Herpes Zoster/prevention & control* ; Herpes Zoster Vaccine ; Chickenpox Vaccine ; Genomics

Objective : To investigate the epidemiological and clinical characteristics of cases with pertussis in Yiwu City, Zhejiang Province, so as to provide insights into pertussis diagnosis and control. Methods: A total of 186 patients with definitive diagnosis of pertussis in medical institutions in Yiwu City from November 1, 2020 to August 31, 2022 were recruited, and subjects' demographic, clinical symptoms and history of pertussis vaccination were collected using questionnaire surveys. The temporal, population, and spatial distribution and clinical symptoms of pertussis were analyzed using a descriptive epidemiological method, and the clinical characteristics of pertussis patients with different doses of pertussis vaccination were compared. Results: Pertussis was found to predominantly occur during the period between July and November (101 cases, 54.30%), and the three highest-incidence regions included Jiangdong Street, Beiyuan Street and Choujiang Street (87 cases, 46.77%). The 186 pertussis cases included 105 males (56.45%) and 81 females (43.55%), and included 144 cases with age of onset under 7 year (77.42%). Preschool and diaspora children were predominant among all pertussis cases, and the main clinical symptoms included spasmodic cough (97 cases, 52.15%), post-tussive vomiting (82 cases, 44.09%) and aggravated cough at night (77 cases, 41.40%). Routine blood tests measured 119 cases with abnormal white blood cell counts (63.98%), 137 cases with abnormal lymphocyte counts (73.66%), 39 cases with abnormal neutrophil counts (20.97%), 21 cases with abnormal platelet counts (11.29%) and 111 cases with abnormal hemoglobin concentrations (59.68%). There were 55 cases that were unvaccinated (29.57%), 23 cases that were not fully vaccinated (12.37%), and 108 cases that were fully vaccinated (58.06%). There were significant differences among pertussis cases with different doses of vaccination in terms of age, incidence of post-tussive vomiting, percentage of abnormal platelet counts and percentage of hemoglobin concentrations (all P<0.05). Conclusions The majority of pertussis cases are preschool and diaspora children in Yiwu City from November 1, 2020 to August 31, 2022, and the clinical symptoms mainly include spasmodic cough, post-tussive vomiting and aggravated cough at night, with atypical symptoms. The capability for differential diagnosis of pertussis is required to be improved in medical institutions.

OBJECTIVE: To evaluate the effect of wrist-ankle acupuncture (WAA) in pain and functional recovery after total knee arthroplasty (TKA). METHODS: From June to September 2020, 94 participants were included from the Second Hospital of Tangshan and randomly assigned to the WAA group (47 cases) and the sham WAA group (47 cases) by a random number table, receiving real or sham WAA treatment, respectively. The primary outcome measure involved the visual analogue scale (VAS) scores at rest and in motion. The secondary outcomes involved the range of motion (ROM) of the knee joints, straight-leg raising time, postoperative weight-bearing time, sufentanil consumption within 48 h of patient-controlled analgesia (PCA) pump, length of hospital stay, and postoperative complications. RESULTS: The VAS scores on the 3rd, 5th, and 7th postoperative days at rest and in motion was significantly lower in the WAA group than that of the sham WAA group (P<0.01). The ROM on the 1st, 2nd, and 3rd PODs was significantly higher in the WAA group than that of the sham WAA group (P<0.01). In comparison to the sham WAA group, the sufentanil consumption within 48 h of PCA pump was significantly less in the WAA group (156.3 ± 12.2 µg vs. 128.8 ± 9.8 µg, P<0.01). There was no significant difference in active straight-leg raising time, postoperative weight-bearing time, length of hospital stay, and postoperative complications between the two groups (P>0.05). CONCLUSIONS WAA could alleviate post-TKA pain, improve knee joint function, and reduce the sufentanil consumption within 48 h of PCA pump. WAA is a safe and effective treatment in the perioperative analgesic management for TKA.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Ankle ; Wrist ; Sufentanil ; Pain, Postoperative/therapy* ; Acupuncture Therapy/adverse effects* ; Analgesia ; Knee Joint

Objective: To identify the antibiotic resistance, virulence genes, and sequence types of Pseudomonas aeruginosa (P. aeruginosa) strains isolated from blood. Methods: From November 2014 to December 2021, a total of 94 nonrepetitive P. aeruginosa isolates were obtained from blood samples of patients at the First Affiliated Hospital of Shandong First Medical University in Shandong Province, China. The bacteria were identified using matrix-assisted laser desorption ionization time of flight mass spectrometry. Antibiotic resistance of the P. aeruginosa isolates was detected using Vitek 2 Compact system. Polymerase chain reaction (PCR) was conducted for the 18 virulence genes, and multi locus sequence typing (MLST) was performed to identify the sequence types of the P. aeruginosa strains. The resistance rates and distributions of virulence genes between carbapenem resistant pseudomonas aeruginosa (CRPA) and carbapenem susceptible pseudomonas aeruginosa (CSPA) isolates were compared using the Chi-square test. Results: Among 94 P. aeruginosa isolates, 19 (20.2%) isolates were found to be multidrug resistant (MDR) bacteria, of which 17 were CRPA isolates and 2 were CSPA isolates. All strains contained more than 10 virulence genes. Except for exoU gene, the detection rate of other genes was above 83%. MLST analysis revealed a total of 66 different STs, including 59 existing STs and 7 novel STs. Among them, ST244 (n=11, 11.7%) and ST270 (n=7, 7.4%) were the dominant STs. Although these two types of isolates harbored the same virulence genes, the resistance rates to carbapenem were different. 54.5% (6/11) ST244 isolates were CRPA but all 7 ST270 isolates were CSPA. Conclusion: Although the resistance rates of P. aeruginosa strains isolated from blood were at a low level, some MDR and CRPA isolates were detected. As the high virulence gene detection rates and genetic diversity were found for P. aeruginosa strains isolated from blood, close attention should be paid to avoid transmission and outbreaks.
Humans ; Pseudomonas aeruginosa/genetics* ; Multilocus Sequence Typing ; Molecular Epidemiology ; Pseudomonas Infections/microbiology* ; Microbial Sensitivity Tests ; Hospitals ; Carbapenems/pharmacology* ; Drug Resistance, Multiple, Bacterial/genetics* ; Anti-Bacterial Agents/pharmacology* ; beta-Lactamases