Objective To investigate the expression levels of micro RNA-651(miR-651)and the transcrip-tion factor Forkhead Box N2(FOXN2)in lung cancer tissues and to analyse their relationship with patients' prognosis after lobectomy.Methods A total of 98 patients with lung cancer who underwent lobectomy from January 2020 to December 2021 in Nantong Cancer Hospital were selected as research objects,the lung cancer tissue specimens and corresponding paracancerous tissue specimens of patients were collected,the expression levels of miR-651 and FOXN2 were detected by real-time fluorescence quantitative PCR(qPCR),and their re-lationship with the prognosis of patients after lobectomy was analyzed.Results At 2-year follow-up,19(19.39％)of 98 patients had recurrent metastasis,and the median time to recurrent metastasis was 20 months(95％CI:18.626--21.374).qPCR assay showed that the expression levels of miR-651 and FOXN2 in lung cancer tissues were significantly lower than those in paracancerous tissues(P＜0.05).miR-651 and FOXN2 expression levels were significantly correlated with clinicopathological features such as tumour size,TNM stage and lymph node metastasis(P＜0.05).The results of univariate Cox regression analysis showed that the percentages of maximum tumor diameter ≥3 cm,TNM stage Ⅱ,lymph node metastasis,miR-651 low ex-pression and FOXN2 low expression were higher in the poor prognosis group than those in the good prognosis group(P＜0.05).Multifactorial Cox regression analysis showed that maximum tumor diameter ≥ 3 cm(HR=3.185,95％CI:1.105-9.182),TNM stage Ⅱ(HR=5.167,95％CI:1.939-13.771),lymph node metastasis(HR=2.860,95％CI:1.115-7.338),low miR-651 expression(HR=5.345,95％CI:1.845-15.483)and low FOXN2 expression(HR=5.404,95％CI:1.744-16.745)were independent risk factors for the prognosis of lung cancer patients after lobectomy(P＜0.05).Conclusion The expression levels of miR-651 and FOXN2 were reduced in the tissues of lung cancer patients,and both were associated with tumour size,TNM stage,lymph node metastasis,and patients' prognosis after lobectomy.

Objective:To analyze the drug resistance characteristics and influencing factors in human immunodeficiency virus (HIV)-1 treated patients in Henan Province.Methods:HIV-1 treated patients who had received anti-retroviral therapy (ART) for more than six months and had a viral load >200 copies/mL in the Zhengzhou Sixth People′s Hospital from January to December 2024 were enrolled. Plasma samples were collected. Partial pol region gene sequences and integrase gene sequences of HIV-1 were amplified by reverse transcription nested polymerase chain reaction. The REGA HIV-1 subtype analysis tool was used to determine the subtypes of HIV-1 isolates, and the HIV drug resistance database of Stanford University in the United States was used to analyze the genetic drug resistance mutations and antiviral drug susceptibility. The multivariate logistic regression analysis was used to analyze the factors related to drug resistance. Results:Among 933 HIV-1 treated patients with ART failure, 825 samples were successfully amplified, with the amplification success rate of 88.42%. The overall drug resistance rate was 70.06%(578/825), among which the drug resistance rates of nucleoside reverse transcriptase inhibitor (NRTI), non-nucleoside reverse transcriptase inhibitor (NNRTI), protease inhibitor (PI), and integrase inhibitor (INSTI) were 55.15%(455/825), 64.36%(531/825), 5.70%(47/825), and 2.31%(19/821), respectively. The most common drug resistance mutations included M184I/V (47.88%(395/825)), K103N/S (38.18%(315/825)), and K70E/G/N/Q/R/S/T/del (16.61%(137/825)). Multivariate analysis showed that the baseline CD4 + T cell count <200 cells/μL (adjusted odds ratio ( OR)=2.239, 95% confidence interval ( CI)1.011 to 4.960), an initial 2NRTI+ NNRTI-based treatment regimen (adjusted OR=44.332, 95% CI 5.191 to 378.593), initial 2NRTI+ PI/r (r means ritonavir)-based regimen (adjusted OR=14.391, 95% CI 1.304 to 158.805) and a change in the ART regimen (adjusted OR=5.941, 95% CI 2.373 to 14.878) were independent risk factors for drug resistance (all P<0.05). Conclusions:The drug resistance rate after virological failure in HIV-1 treated patients in Henan Province is relatively high, which is mainly characterized by NNRTI resistance. The baseline immune status and the choice of the initial treatment regimen are important factors affecting the occurrence of drug resistance. The treatment monitoring and drug resistance monitoring should be strengthened.

ObjectiveTo establish the fingerprints of 15 batches of Hengzhi Kechuan capsules， to quantitatively analyze 10 index components， and to evaluate the quality uniformity of samples from different batches. MethodsThe fingerprints and quantitative analysis of Hengzhi Kechuan capsules were established by a combination method of high performance liquid chromatography coupled with diode array detector and charged aerosol detector（HPLC-DAD-CAD）， adenosine， guanosine， vanillic acid， safflomin A， agarotetrol， naringin， hesperidin， militarine， ginsenoside Rb₁， and glycyrrhizic acid were selected as quality attribute indexes. A total of 15 batches of Hengzhi Kechuan capsules from 2022 to 2024（3 boxes per batch） were qualitatively and quantitatively analyzed， and the quality uniformity level of the manufacturers was characterized by parameters of intra-batch consistency（P_A） and inter-batch consistency（P_B）. The homogeneity and difference of quality attribute indexes of samples from different years were analyzed by heatmap clustering analysis. ResultsHPLC fingerprints and quantitative method of Hengzhi Kechuan capsules were established， and the methods could be used for qualitative and quantitative analysis of this preparation， which was found to be stable and reliable by method validation. The similarity of fingerprints of 15 batches of samples was 0.887-0.975， a total of 13 common peaks were calibrated， and 10 common peaks were designated， all of which were quality attribute index components. The results of quantitative analysis showed that the contents of the above 10 ingredients in the samples were 0.038-0.078， 0.115-0.251， 0.007-0.018， 0.291-0.673， 0.122-0.257， 0.887-1.905， 1.841-3.364， 1.412-2.450， 2.207-3.112， 0.650-1.161， respectively. And the contents of ginsenoside Rb₁ and glycyrrhizic acid met the limit requirements in the 2020 edition of Chinese Pharmacopoeia. For the samples from 15 batches， the P_A values of the 10 index components were all <10%， indicating good intra-batch homogeneity， and the P_B values ranged from 33.86% to 92.97%， suggesting that the inter-batch homogeneity was poor. Heatmap clustering analysis showed that the samples from different years were clustered into separate categories， and adenosine， guanosine， safflomin A， naringin， hesperidin and agarotetrol were the main differential components. ConclusionThe intra-annual quality uniformity of Hengzhi Kechuan capsules is good and the inter-annual quality uniformity is insufficient， which may be related to the quality difference of Pinellinae Rhizoma Praeparatum， Carthami Flos， Citri Sarcodactylis Fructus， Citri Reticulatae Pericarpium， Aquilariae Lignum Resinatum， Citri Fructus， etc. In this study， the fingerprint and multi-indicator determination method of Hengzhi Kechuan capsules was established， which can be used for more accurate and efficient quality control and standardization enhancement.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

Objective:To explore the risk factors of severe medication errors (ME) of tranexamic acid injection (TXAI), and put forward prevention suggestions.Methods:TXAI-related ME reports in the National Monitoring Network for Clinical Safe Medication (Monitoring Network) and medical literature databases at home and abroad were searched, and case reports of TXAI-related ME were collected; China Judgements Online and PKULAW database were searched, and TXAI-related judicial cases judged to be responsible by the hospital were collected. The retrieval time of all data was up to May 1, 2024. The severity grade, occurrence link and place, and the trigger person of TXAI-related ME reported in the Monitoring Network were retrospectively analyzed. The year of report, country of occurrence, clinical application, error content, and occurrence place of the collected severe ME cases, and the clinical characteristics of patient injury, patient outcome and the ME grading were retrospectively analyzed.Results:From September 22, 2012 to May 1, 2024, the Monitoring Network received a total of 138 TXAI-related ME reports, and there was an increasing trend in the number of reports year by year. Among 138 cases of ME, 79 (57.3%) occurred in the drug dispensing and distribution link; 58 (42.0%) occurred in the prescription/doctor's order prescribing and delivery link and mainly involved easily mixed drugs and drug overdose, of which 1 (1.7%) was a severe ME (grade E); 1 (0.7%) occurred in the drug administration link, and iodohexol was mistakenly injected as TXAI into the patient's joint cavity. A total of 29 severe ME reports related to TXAI were collected. Of them, 24 (82.8%) were due to incorrect administration routes (22 were confused with anesthetics and 2 were confused with injection catheters, all resulting in incorrect intrathecal injections) and 5 (17.2%) were due to prescription errors (3 were overdosed, 1 was used for high-risk thrombosis patient, and 1 was treated with combination use of hemocoagulase for high-risk thrombosis patient); 23 (79.3%) occurred in the operating rooms, and 6 (20.7%) occurred in the wards. The 24 patients involved in incorrect intrathecal injections of TXAI mainly developed severe pain, neurotoxicity (status epilepticus) and/or cardiotoxicity (arrhythmia and ventricular fibrillation), of which 11 (45.8%) died and 2 (8.3%) had sequelae of limb muscle weakness. Among the 5 patients with prescription errors, 4 developed severe thrombotic disease, resulting in 2 deaths and 2 cerebrovascular-related sequelae, and the other one developed palpitation, shortness of breath, nausea and vomiting. Among the 29 severe ME cases, 2 (6.9%) were grade E, 3 (10.3%) were grade F, 4 (13.8%) were grade G, 7 (24.2%) were grade H, and 13 (44.8%) were grade I.Conclusions:TXAI-related ME mainly involved easily mixed drugs and prescription errors. The severe ME main occurred in the operating room and mainly due to incorrect intrathecal injection, leading to fatal neurological and cardiac toxicity in patients.

Objective To conduct a multidimensional and multi-level evaluation of the comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus.Methods Based on the National Essential Medicines List(2018 Edition),dapagliflozin was selected as the control.A comprehensive clinical evaluation index system was established through literature review,focus group interviews and in-depth expert interviews,encompassing six dimensions:safety,efficacy,economy,suitability,innovation,and accessibility.The Delphi method and hierarchical direct weighting method were used to screen indicators and determine their weights.Evidence for each indicator was collected and integrated both qualitatively and quantitatively through literature research,real-world studies,and pharmacoeconomic evaluations.Experts scored the indicators based on the collected evidence,and a total score for the comprehensive clinical evaluation of empagliflozin was calculated by combining these scores with indicator weights,followed by a comparative analysis with dapagliflozin.Results A comprehensive clinical evaluation of empagliflozin in the treatment of type 2 diabetes mellitus was successfully established,consisting of 6 primary indicators,14 secondary indicators,and 41 tertiary indicators.The overall evaluation score for empagliflozin was 90.35,and 89.47 for dapagliflozin.Conclusion The comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus is slightly higher than that of dapagliflozin.This finding can serve as a reference for rational clinical drug use and related decision-making.

Objective To conduct a multidimensional and multi-level evaluation of the comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus.Methods Based on the National Essential Medicines List(2018 Edition),dapagliflozin was selected as the control.A comprehensive clinical evaluation index system was established through literature review,focus group interviews and in-depth expert interviews,encompassing six dimensions:safety,efficacy,economy,suitability,innovation,and accessibility.The Delphi method and hierarchical direct weighting method were used to screen indicators and determine their weights.Evidence for each indicator was collected and integrated both qualitatively and quantitatively through literature research,real-world studies,and pharmacoeconomic evaluations.Experts scored the indicators based on the collected evidence,and a total score for the comprehensive clinical evaluation of empagliflozin was calculated by combining these scores with indicator weights,followed by a comparative analysis with dapagliflozin.Results A comprehensive clinical evaluation of empagliflozin in the treatment of type 2 diabetes mellitus was successfully established,consisting of 6 primary indicators,14 secondary indicators,and 41 tertiary indicators.The overall evaluation score for empagliflozin was 90.35,and 89.47 for dapagliflozin.Conclusion The comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus is slightly higher than that of dapagliflozin.This finding can serve as a reference for rational clinical drug use and related decision-making.

In 2024, a total of 27 309 cases of medication error (ME) from 484 hospitals in 27 provincial administrative regions were collected in the National Monitoring Network for Clinical Safe Medication. Among them, 279 (1.02%) were classified as grade A, 22 081 (80.86%) as grade B, 4 268 (15.63%) as grade C, 472 (1.73%) as grade D, 96 (0.35%) as grade E, 105 (0.38%) as grade F, 6 (0.02%) as grade H, and 2 (<0.01%) as grade I; no MEs of grade G occurred. Among the 27 030 patients involved in MEs of grade B to I, 15 124 (55.95%) were male and 11 906 (44.05%) were female; their ages were from 1 day to 104 years; 3 369 (12.46%) were children (<18 years old), 12 113 (44.81%) were young and middle-aged adults (≥18 to <60 years old), and 11 548 (42.72%) were elderly (≥60 years old). The top 3 contents of ME were wrong drug class (5 347 cases, 19.13%), wrong dosage (4 913 cases, 17.58%), and wrong administration frequency (3 429 cases, 12.27%). Among the 27 030 grade B-I MEs, the main person who triggered the event were physicians (18 703 cases, 69.19%) and pharmacists (6 343 cases, 23.47%). These MEs mainly occurred in clinics (11 009 cases, 40.73%), in hospital wards (7 393 cases, 27.35%), and in pharmacies (6 219 cases, 23.27%). The main persons who discovered the MEs were pharmacists (21 021 cases, 74.14%). The top 3 factors causing ME were lack of related pharmacologic knowledge (8 716 cases, 26.49%), tiredness (5 755 cases, 17.49%), and inexperienced skills (4 505 cases, 13.69%). A total of 209 patients were involved in severe MEs (grade E-I), including 133 (63.64%) males and 76 (36.36%) females, aged from 21 months to 94 years, of which 42 (20.10%) were children, 75 (35.88%) were young and middle-aged adults, and 92 (44.02%) were elderly. The top 3 diseases diagnosed in severe MEs were drug poisoning (41 cases, 19.62%), diabetes (34 cases, 16.27%), and hypertension (14 cases, 6.70%); the main person who triggered the MEs were patients and their families (135 cases, 64.59%); the MEs occurred mainly in patients′ houses (116 cases, 55.50%). Drug poisoning was mainly related to accidental ingestion by children, and MEs in patients with diabetes and hypertension were often related to issues on patient compliance. Based on the data of MEs in 2024, it was proposed to establish a better medication safety culture and improve the ME reporting situation in China, pay attention to the risks of misusing external drugs for internal use, children′s accidental ingestion and insulin-related MEs, strengthen the prevention of MEs related to look-alike sound-alike drugs, pay attention to the post administration management and the compliance education of home care for patients with chronic diseases, so as to improve the medication safety of patients in China.

Objective:To construct a recommended list of high-alert medication (HAM) based on big data from medication error (ME) reports in China, providing reference for preventing and reducing HAM-related risks.Methods:The drugs involved in the serious ME reports of the National Monitoring Network for Clinical Safe Medication (Monitoring Network) were collected (as of December 31, 2023), and the candidate drugs were preliminarily determined referring to the HAM list of China 2023 (Chinese list) and the latest three lists of American Institute for Safe Medication Practices (ISMP). Candidate drugs that were included in both the Chinese list and ISMP lists, as well as those existed in the Chinese list but had never been included in the ISMP lists were included in the current list, and their risk levels followed the original risks in the Chinese list. Candidate drugs that existed in the Chinese list but had been excluded from the ISMP lists, and those existed in the ISMP lists but had not been included in the Chinese list were listed as suspected drugs. For the other candidate drugs, those did not meet the definition of HAM were excluded firstly, and those related to ME that had caused serious harm were listed as suspected drugs, according to the judicial cases on ME of China Judgements Online and PKULAW database. Two methods, including Delphi expert consultation and questionnaire survey, were used to determine whether the above suspected drugs were included in the HAM list and their risk levels.Results:A total of 138 drugs were obtained through the initial screening, 106 of which were directly included in the current list, and 32 of which were listed as drugs requiring further assessment. After 2 rounds of Delphi expert consultation by 18 experts and surveys with 136 valid questionnaires, 32 suspected drugs did not meet the inclusion criteria. Finally, a total of 106 drugs were included in the current list, including 51 A-class drugs in 9 categories, 33 B-class drugs in 9 categories, and 22 C-class drugs in 5 categories.Conclusion:Based on the big data of the ME reports in China, a HAM list is constructed, which is accurate and concise and better fits the actual clinical drug risks in China, helping to improve the drug safety management.