The Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines （hereinafter referred to as the Guidelines） is first specialized in the field of drug safety for oral Chinese patent medicines （OCPMs） in China. Rooted in China's healthcare context， the Guidelines address the unique usage patterns and risk characteristics of OCPMs， filling a regulatory gap in the pharmacovigilance framework specific to this category. To facilitate accurate understanding and effective implementation of the Guidelines， and to promote the standardized development of pharmacovigilance practices for OCPMs， this study offered a systematic interpretation based on its three core components. In the domain of risk monitoring and reporting， the paper analyzed the rationale for multi-source information integration and clarified the criteria for identifying key products and target populations for intensive monitoring. Regarding risk assessment， the Guidelines were examined from three dimensions of formulation components， medication behaviors， and population to address complex safety issues arising from medicinal constituents， irrational use， and individual susceptibility. In the area of risk control， the analysis focused on context-based interventions and dynamic closed-loop management strategies， exploring practical pathways to shift from passive response to proactive risk mitigation. Furthermore， this paper evaluated the applied value of the Guidelines and identified implementation challenges， such as insufficient capacity at the primary-care level and limited digital infrastructure. In response， the study proposed optimization strategies including establishing a dynamic updating mechanism， strengthening training at the grassroots level， and incorporating artificial intelligence to enhance pharmacovigilance capacity. This interpretation aims to provide actionable insights for marketing authorization holders （including manufacturers）， pharmaceutical distributors， healthcare institutions， and research organizations， ultimately supporting the establishment and refinement of a full lifecycle pharmacovigilance system for OCPMs.

This study reports the diagnosis and treatment of a 26-year-old pregnant woman with severe malnutrition combined with acute pyelonephritis causing sepsis, refractory septic shock and multiple organ failure. A female patient, 26 years old, was admitted to hospital mainly due to "menelipsis for more than 19 weeks, nausea and vomiting for 20 days, fever with fatigue for 3 days". At the end of 19 weeks of intrauterine pregnancy, the patient presented with fever accompanied by urinary tract irritation. Laboratory tests showed elevated inflammatory indicators, and ultrasonography showed bilateral pelvicalyceal dilation. She was diagnosed with acute pyelonephritis, sepsis, acute kidney injury (AKI) and severe malnutrition. After a whole-hospital consultation, the patient was treated with meropenem and vancomycin as antimicrobial therapy, and bilateral nephrostomy drainage was performed simultaneously. After that, the patient suffered a sudden decrease in blood pressure, blood oxygen saturation, and rapid heart rate. Septic shock with multiple organ dysfunction was considered, and she was transferred to intensive care unit (ICU) immediately. After the patient was transferred to ICU, emergency tracheal intubation and ventilator-assisted ventilation were performed. Rapid fluid resuscitation was administered for the patient. While pulse indicator continuous cardiac output (PICCO) monitoring was performed, norepinephrine, terlipressin, and methylene blue were administered to maintain peripheral vascular resistance. Since the patient developed septic cardiomyopathy and cardiogenic shock later, levosimendan and epinephrine were admi-nistered to improve cardiac function. While etiological specimens were delivered, meropenem, teicoplanin and caspofungin were given as initial empiric antimicrobial therapy. Unfortunately, the intrauterine fetal death occurred on the night of admission to ICU. On the 3rd day of ICU admission, a still-born child was delivered vaginally with 1/5 defect of the fetal membrane. On the 6th day of ICU admission, the patient had fever again with elevated inflammatory indicators. After excluding infection in other parts, intrau-terine infection caused by incomplete delivery of fetal membrane was considered. Then emergency uterine curettage was performed and the infection gradually improved. Later the laboratory results showed that the nephrostomy drainage was cultured for Escherichia coli and uterine, cervical and vaginal secretions were cultured for Candida albicans. Due to severe infection and intrauterine incomplete abortion, the patient developed disseminated intravascular coagulation (DIC). Active antimicrobial therapy and blood product supplement were given. However, the patient was critically ill with significant decrease in hemoglobin and platelets combined with multiple organ failure. Thrombotic microangiopathy (TMA) was not excluded yet, so plasma exchange was performed for the patient in order not to delay treatment. The patient underwent bedside continuous renal replacement therapy (CRRT) for AKI. The patient was complicated with acute liver injury, and the liver function gradually returned to normal after liver protection, antimicrobial therapy and other treatments. Due to the application of large doses of vasoactive drugs, the extremities of the patient gradually developed cyanosis and ischemic necrosis. Local dry gangrene of the bilateral toes remained at the time of discharge. In general, the patient suffered from septic shock, cardiogenic shock, combined with DIC and multiple organ dysfunction. After infection source control, antimicrobial therapy, uterine curettage, blood purification treatment, nutritional and metabolic support, the patient was discharged with a better health condition.
Humans ; Female ; Pyelonephritis/complications* ; Pregnancy ; Adult ; Multiple Organ Failure/etiology* ; Shock, Septic/etiology* ; Sepsis/etiology* ; Pregnancy Complications ; Pregnancy Complications, Infectious ; Malnutrition/complications*

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective To investigate the relationship between chromosomal karyotypes and reproductive factor levels in peripheral blood and adverse pregnancies in women.Methods A total of 105 pregnant women who received prenatal care and delivered at Yulin Hospital,the First Affiliated Hospital of Xi'an Jiaotong Uni-versity and Yulin Traditional Chinese Medicine Hospital from January 2020 to June 2024 were selected as the research subjects.Through the follow-up observation of pregnant women,there were 29 cases of pregnant women with adverse pregnancies(adverse pregnancy group)and 76 cases of pregnant and parturient women with normal pregnancies(good pregnancy group).The karyotypes of peripheral blood chromosomes and the levels of reproductive factors,as well as their correlations with adverse pregnancy outcomes,were analyzed re-spectively in the adverse pregnancy group and the good pregnancy group.Results There was a statistically significant difference in the proportion of autosomes and sex chromosomes in the number and structure of pe-ripheral blood between the adverse pregnancy group and the good pregnancy group(P＜0.05).The anti-Müllerian hormone(AMH)level in the adverse pregnancy group was higher than that in the good pregnancy group,while estradiol(E2)and progesterone(P)levels were lower than those in the good pregnancy group,and the differences were statistically significant(P＜0.05).Abnormalities in autosomal number,autosomal structure,sex chromosome number,sex chromosome structure,and AMH were all positively correlated with adverse pregnancy outcomes(r=0.369,0.445,0.528,0.665,0.785,P＜0.05).E2 and P were negatively cor-related with adverse pregnancy outcomes(r=-0.865,—0.562,P＜0.05).Conclusion Peripheral blood chromosomal karyotypes and reproductive factor levels are related to adverse pregnancies in women.By under-standing the relationship between these biomarkers and chromosomal abnormalities,adverse pregnancy out-comes can be better predicted and managed,and the accuracy of fertility treatment can be improved.

Objective To summarize and evaluate the characteristics of current recurrent spontaneous abortion(RSA)animal models at home and abroad,and to provide reference and guidance for the standardized preparation of RSA models.Methods"Recurrent spontaneous abortion"and"animal model"were used as co-keywords in CNKI,Wanfang,VIP,PubMed and Web of Science databases to search the RSA animal experimental literature,covering the period up to January 20,2024,and a total of 1 411 articles were collected.The analysis focused on construction methods and essential elements of RSA animal models,the modeling process and result evaluation,as well as the application of these models in pharmacological and pharmacodynamic research.An Excel table was established for systematic analysis and discussion.Results A total of 138 experimental studies were obtained after screening.In constructing RSA animal models,immunological models were the most widely used in Western medicine(96.92％),with the Clark model being the main one(92.31％).In traditional Chinese medicine(TCM)models,70.00％were kidney deficiency-luteal inhibition-syndrome combination models,20.00％were kidney deficiency and blood stasis models,and 10.00％were deficiency-heat syndrome models.Most animals were selected at 6-8 weeks(33.86％)and 8 weeks(32.28％)of age.The majority of animals were paired for mating at 18:00 on the day of cage pairing.In 81.03％of literatures,vaginal plugs were checked once the following morning,with 8:00 being the most common time(17.02％).The most commonly used drug administration cycle was 14 days of continuous gavage after pregnancy.Among the tested drugs,Western drugs were mainly protein-based(29.17％),while TCM drugs were mainly TCM decoction(81.11％).The most frequently used methods for detecting indicators included visual observation of embryos(22.54％),western blot(15.96％),PCR(13.58％),ELISA(12.91％),HE staining(10.80％)and immunohistochemistry(9.39％).Conclusion The etiology of RSA is complex,and corresponding animal models should be established based on different etiologies.Clark model is commonly used in the construction of Western medicine model,while the kidney deficiency-luteal inhibition-syndrome combination model is predominant in TCM.RSA animal model is widely used in related research,but systematic evaluation needs to be strengthened.

“Deficiency cause， cold accumulation， and qi stagnation” originates from Essentials from the Golden Cabinet （《金匮要略》）， which is a guiding principle for the pathogenesis of women's diseases， pioneering the differentiation and treatment of women's diseases based on patterns， and having a profound influence on future generations. Following the classical principles and simplifying the complexities， this paper explored the pathogenesis and mechanism of polycystic ovary syndrome （PCOS） from the perspective of “deficiency cause， cold accumulation， and qi stagnation”， and believed that depletion of essence and blood， long-term accumulation of internal cold， and qi constraint and blood stasis are the causes of PCOS， with depletion of essence and blood， and lack of nourishment of zang-fu （脏腑） organs as the root， and cold pathogen invasion， qi constraint and blood stasis as the branch. The main treatment principle is “treating deficiency with supplementation”， and dispelling pathogen while reinforcing healthy qi， along with “treatment of cold by warming” and “treatment of stagnation by dispersing”. This is of great significance for the treatment of polycystic ovary syndrome. Clinically， these methods can be used flexibly to guide treatment and formula selection for PCOS， with the goal of harmonizing qi and blood and regulating menstruation.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.