Alternative therapy for acute appendicitis with appendicolith using traditional Chinese medicine: A case report.

INTRODUCTION: Treating older patients with acute appendicitis with multiple underlying diseases is a challenging situation in the clinical setting. Throughout the history of East Asian medicine, many texts have noted the use of herbal decoctions to successfully treat symptoms associated with appendicitis, thereby providing an alternative management strategy for treating frail patients with acute appendicitis. CASE PRESENTATION: This report presents the case of a 93-year-old male diagnosed with acute appendicitis with appendicolith who was unsuitable for surgical intervention due to poor lung condition and prolonged prothrombin time caused by Apixaban. By receiving complementary therapy consisting of traditional Chinese medicine (TCM) and antibiotics, he recovered successfully. DISCUSSION: In the early stage of acute appendicitis, infection control and gastrointestinal mobility are the most important factors to consider. Scientific research has demonstrated that many herbs used in TCM formulas possess anti-inflammatory, anti-oxidative and immune attenuation effects. For many patients who are unsuitable for surgical intervention due to unfavorable conditions, such as the prolonged prothrombin time presented in this case, complementary treatment with TCM offers adjuvant therapeutical effects associated with infection control, and improvement of the gastrointestinal environment and function of elderly patients.

Prescription system to calculate precise doses of Chinese herbal medicine to avoid toxic effects.

Background and objectives: Traditional Chinese Medicine (TCM) is a therapeutic system which has been practiced for thousands of years. Although for much of its history the decoction of medicinal herbs was the most common method of consuming the herbal treatments, TCM prescriptions are now primarily prepared using concentrated Chinese herbal extracts (CCHE) in powder or granular form. However, determining the precise dose of each single Chinese herbal constituent within a prescription creates a challenge in clinical practice due to the potential risk of toxicity. To alleviate this, we invented the Chinese Intelligence Prescription System (CIPS) to calculate the exact dose of each single herb within an individual prescription. Methods: In this study, we applied CIPS in a real-world setting to analyze clinical prescriptions collected and prepared at the TCM Pharmacy of China Medical University Hospital (CMUH). Results: Our investigation revealed that 3% of all prescriptions filled in a 1-month period contained inexact dosages, suggesting that more than 170,000 prescriptions filled in Taiwan in a given month may contain potentially toxic components. We further analyzed the data to determine the excess dosages and outline the possible associated side effects. Conclusions: In conclusion, CIPS offers TCM practitioners the ability to prepare exact Chinese herbal medicine (CHM) prescriptions in order to avoid toxic effects, thereby ensuring patient safety.

Chinese Intelligence Prescription System improves prescription accuracy while decreasing labor and drug costs.

BACKGROUND AND AIM: The traditional method of taking Chinese Medicine involves creating a decoction by cooking medicinal Chinese herbs. However, this method has become less popular, being replaced by the more convenient method of consuming concentrated Chinese herbal extracts, which creates challenges related to the complexity of stacking multiple formulas. METHODS: We developed the Chinese Intelligence Prescription System (CIPS) to simplify the prescription process. In this study, we used data from our institutions pharmacy to calculate the number of reductions, average dispensing time, and resulting cost savings. RESULTS: The mean number of prescriptions was reduced from 8.19 ± 3.65 to 7.37 ± 3.34 ([Formula: see text]). The reduction in the number of prescriptions directly resulted in decreased dispensing time, reducing it from 1.79 ± 0.25 to 1.63 ± 0.66 min ([Formula: see text]). The reduced dispensing time totaled 3.75 h per month per pharmacist, equivalent to an annual labor cost savings of $15,488 NTD per pharmacist. In addition, drug loss was reduced during the prescription process, with a mean savings of $4,517 NTD per year. The combined savings adds up to a not insignificant $20,005 NTD per year per pharmacist. When taking all TCM clinics/hospitals in Taiwan into account, the total annual savings would be $77 million NTD. CONCLUSION: CIPS assists clinicians and pharmacists to formulate precise prescriptions in a clinical setting to simplify the dispensing process while reducing medical resource waste and labor costs.

Effects of Chinese herbal medicine in patients with benign prostatic hyperplasia: A nationwide cohort study in Taiwan.

OBJECTIVES: Benign prostatic hyperplasia affects elderly males, with progression presenting the risk of urinary complications and eventual surgical intervention. We aimed to evaluate the effects of Chinese herbal medicine in patients with benign prostatic hyperplasia. METHODS: This retrospective cohort study analyzed claims data in Taiwan's National Health Insurance Research Database from 2001 to 2013. A total of 4142 patients newly diagnosed as benign prostatic hyperplasia were enrolled and divided into cohorts of Chinese herbal medicine users and nonusers by performing 1:1 propensity score matching. The risk of benign prostatic hyperplasia-related complications was assessed by the Cox proportional hazard model. The cumulative incidence of benign prostatic hyperplasia-related surgeries was assessed by Kaplan-Meier method. RESULTS: During the study period, the risk of benign prostatic hyperplasia-related complications was lower in the Chinese herbal medicine cohort than non-Chinese herbal medicine cohort with an adjusted hazard ratio of 0.82 (95% confidence interval 0.73-0.92) after controlling for multiple variables. Subgroup analysis revealed that Chinese herbal medicine users had a significantly lower risk of urinary tract infection (adjusted hazard ratio 0.67, 95% confidence interval 0.50-0.89) and urinary retention (adjusted hazard ratio 0.83, 95% confidence interval 0.72-0.97). In addition, Chinese herbal medicine users also had a lower incidence rate of benign prostatic hyperplasia-related surgery (32.14 vs 40.20, adjusted hazard ratio 0.74, 95% confidence interval 0.61-0.89) and a longer surgery-free interval than non-Chinese herbal medicine users (3.98 vs 3.00 mean person-year, P < 0.001). Data revealed Salviae miltiorrhizae and Ji-Sheng-Shen-Qi-Wan as the most commonly prescribed Chinese herbal medicine by traditional Chinese medicine practitioners. CONCLUSIONS: Our study demonstrated that Chinese herbal medicine might have effects in the benign prostatic hyperplasia-related complications and surgeries in patients with benign prostatic hyperplasia.

Association between erectile dysfunction and fibromyalgia in male patients: A Taiwanese nationwide population-based cohort study.

OBJECTIVES: To investigate the association between erectile dysfunction and fibromyalgia, and to clarify related comorbidities and treatment modalities. METHODS: This retrospective cohort study was carried out using 1 million records in the National Health Insurance Research Database. From 2001 to 2012, a total of 53 678 male patients newly diagnosed with fibromyalgia were recruited as the fibromyalgia cohort, and the same number of the non-fibromyalgia cohort was enrolled and matched with propensity score with age, income, comorbidities, and prescribed medications. All records were followed up until the end of 2013. The Cox proportional hazards model was carried out to assess the risk of erectile dysfunction among fibromyalgia patients. RESULTS: The incidence rates of erectile dysfunction were 36.86 and 21.15 (per 10 000 person-years) in the fibromyalgia and non-fibromyalgia cohorts, respectively, and a significantly increased risk of erectile dysfunction in fibromyalgia patients was noted (adjusted hazard ratio 1.69, 95% confidence interval 1.55-1.85, P < 0.001). The Cox proportional hazards regression analysis showed increased risk of erectile dysfunction in the fibromyalgia cohort regardless of treatment prescriptions of tramadol, antidepressants, gabapentin and non-steroidal anti-inflammatory drugs. CONCLUSIONS: Fibromyalgia was found to be an independent risk factor for the incidence of erectile dysfunction.

Principles and treatment strategies for the use of Chinese herbal medicine in patients at different stages of coronavirus infection.

Coronavirus disease 2019 (COVID-19) is a novel, human-infecting ß-coronavirus enveloped, positive-sense single-stranded RNA viruses, similar to the severe acute respiratory syndrome (SARS) infection that emerged in November 2002. In traditional Chinese medicine (TCM), the epidemic disease concepts of "febrile epidemics" (wenyi) or "warm diseases" (wenbing) are based on geographic and cultural aspects, and Chinese herbal medicine (CHM) played an important role in the treatment of epidemic diseases. CHM was widely used to treat patients suffered with SARS almost two decades ago during outbreak of SARS, with proven safety and potential benefits. TCM has also been widely used to treat cancer patients for a long history and much of them associate with immunomodulatory activity and are used to treat coronavirus-related diseases. We propose the use of CHM treatment principles for clinical practice, based on four main stages of COVID-19 infection: early, intermediate, severe, and convalescence. We suggest corresponding decoctions that exhibit antiviral activity and anti-inflammatory effects in the early stage of infection; preventing the disease from progressing from an intermediate to severe stage of infection; restoring normal lung function and improving consciousness in the severe stage; and ameliorating pulmonary and vascular injury in the convalescent stage. We summarize the pharmaceutical mechanisms of CHM for treating coronavirus via antiviral, anti-inflammatory and immunomodulatory effects.

Application of Neural Network and Cluster Analyses to Differentiate TCM Patterns in Patients With Breast Cancer.

BACKGROUND AND PURPOSE: Pattern differentiation is a critical element of the prescription process for Traditional Chinese Medicine (TCM) practitioners. Application of advanced machine learning techniques will enhance the effectiveness of TCM in clinical practice. The aim of this study is to explore the relationships between clinical features and TCM patterns in breast cancer patients. METHODS: The dataset of breast cancer patients receiving TCM treatment was recruited from a single medical center. We utilized a neural network model to standardize terminologies and address TCM pattern differentiation in breast cancer cases. Cluster analysis was applied to classify the clinical features in the breast cancer patient dataset. To evaluate the performance of the proposed method, we further compared the TCM patterns to therapeutic principles of Chinese herbal medication in Taiwan. RESULTS: A total of 2,738 breast cancer cases were recruited and standardized. They were divided into 5 groups according to clinical features via cluster analysis. The pattern differentiation model revealed that liver-gallbladder dampness-heat was the primary TCM pattern identified in patients. The main therapeutic goals of the top 10 Chinese herbal medicines prescribed for breast cancer patients were to clear heat, drain dampness, and detoxify. These results demonstrated that the neural network successfully identified patterns from a dataset similar to the prescriptions of TCM clinical practitioners. CONCLUSION: This is the first study using machine-learning methodology to standardize and analyze TCM electronic medical records. The patterns revealed by the analyses were highly correlated with the therapeutic principles of TCM practitioners. Machine learning technology could assist TCM practitioners to comprehensively differentiate patterns and identify effective Chinese herbal medicine treatments in clinical practice.

Neural network analysis of Chinese herbal medicine prescriptions for patients with colorectal cancer.

Traditional Chinese Medicine (TCM) is an experiential form of medicine with a history dating back thousands of years. The present study aimed to utilize neural network analysis to examine specific prescriptions for colorectal cancer (CRC) in clinical practice to arrive at the most effective prescription strategy. The study analyzed the data of 261 CRC cases recruited from a total of 141,962 cases of renowned veteran TCM doctors collected from datasets of both the DeepMedic software and TCM cancer treatment books. The DeepMedic software was applied to normalize the symptoms/signs and Chinese herbal medicine (CHM) prescriptions using standardized terminologies. Over 20 percent of CRC patients demonstrated symptoms of poor appetite, fatigue, loose stool, and abdominal pain. By analyzing the prescription patterns of CHM, we found that Atractylodes macrocephala (Bai-zhu) and Poria (Fu-ling) were the most commonly prescribed single herbs identified through analysis of medical records, and supported by the neural network analysis; although there was a slight difference in the sequential order. The study revealed an 81.9% degree of similarity of CHM prescriptions between the medical records and the neural network suggestions. The patterns of nourishing Qi and eliminating dampness were the most common goals of clinical prescriptions, which corresponds with treatments of CRC patients in clinical practice. This is the first study to employ machine learning, specifically neural network analytics to support TCM clinical diagnoses and prescriptions. The DeepMedic software may be used to deliver accurate TCM diagnoses and suggest prescriptions to treat CRC.