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Han M, Xia J, Zhang M, Jin Y, He C, Wang Z, Tu F. Is Dosage Adjustment Based on Age Necessary for Intravenous Lidocaine in Patients Undergoing General Anesthesia: A Prospective Multi-Arm Comparative Study. J Pharm Sci 2024; 113:2922-2932. [PMID: 39032824 DOI: 10.1016/j.xphs.2024.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/11/2024] [Accepted: 07/13/2024] [Indexed: 07/23/2024]
Abstract
It remains unclear whether dosage adjustment of intravenous lidocaine is necessary during general anesthesia for elderly patients over 75 years old. This study aimed to investigate the effects of age on the pharmacokinetics (PK) and safety of intravenous lidocaine in patients undergoing general anesthesia. A total of 599 plasma samples were collected from 76 general anesthesia patients across three age groups: 18-64, 65-74, and ≥ 75 years. Lidocaine was administered intravenously at a dose of 1.5 mg/kg for the 18-64 and 65-74 years groups, while the dose was adjusted to 1.0 mg/kg for the ≥ 75 years group. The plasma concentrations of lidocaine and its active metabolites were measured using a validated ultra-performance liquid chromatography-tandem mass spectrometry assay, and the data were analyzed using a noncompartmental analysis. The results revealed no significant age-related differences in the PK of lidocaine and its metabolites. Among the three age groups, over 90 % of patient achieved a lidocaine concentration within a safe and effective range when the dosage was normalized to 1.5 mg/kg. In conclusion, age-based dosage adjustment was unnecessary for intravenous lidocaine in patients below 86 years undergoing general anesthesia.
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Affiliation(s)
- Mei Han
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China; Department of Pharmacy, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, West China Hospital, Sichuan University, No. 5 Telecom Road, Wuhou District, Chengdu 610041, China; Clinical Trial Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jina Xia
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China
| | - Mengyu Zhang
- Department of Pharmacy, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, West China Hospital, Sichuan University, No. 5 Telecom Road, Wuhou District, Chengdu 610041, China; Clinical Trial Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ying Jin
- Department of Pharmacy, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, West China Hospital, Sichuan University, No. 5 Telecom Road, Wuhou District, Chengdu 610041, China; Clinical Trial Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Chaoqun He
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China; Department of Pharmacy, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, West China Hospital, Sichuan University, No. 5 Telecom Road, Wuhou District, Chengdu 610041, China; Clinical Trial Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhenlei Wang
- Department of Pharmacy, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, West China Hospital, Sichuan University, No. 5 Telecom Road, Wuhou District, Chengdu 610041, China; Clinical Trial Center, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Faping Tu
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China.
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Grassin P, Descamps R, Bourgine J, Lubrano J, Fiant AL, Lelong-Boulouard V, Hanouz JL. Safety of perioperative intravenous lidocaine in liver surgery - A pilot study. J Anaesthesiol Clin Pharmacol 2024; 40:242-247. [PMID: 38919445 PMCID: PMC11196064 DOI: 10.4103/joacp.joacp_391_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 05/05/2023] [Accepted: 05/10/2023] [Indexed: 06/27/2024] Open
Abstract
Background and Aims Perioperative lidocaine infusion has many interesting properties such as analgesic effects in the context of enhanced recovery after surgery. However, its use is limited in liver surgery due to its hepatic metabolism. Material and Methods This prospective, monocentric study was conducted from 2020 to 2021. Patients undergoing liver surgery were included. They received a lidocaine infusion protocol until the beginning of hepatic transection (bolus dose of 1.5 mg kg-1, then a continuous infusion of 2 mg kg-1 h-1). Plasma concentrations of lidocaine were measured four times during and after lidocaine infusion. Results Twenty subjects who underwent liver resection were analyzed. There was 35% of preexisting liver disease before tumor diagnosis, and 75% of liver resection was defined as "major hepatectomy." Plasmatic levels of lidocaine were in the therapeutic range. No blood sample showed a concentration above the toxicity threshold: 1.6 (1.3-2.1) μg ml-1 one hour after the start of infusion, 2.5 (1.7-2.8) μg ml-1 at the end of hepatic transection, 1.7 (1.3-2.0) μg ml-1 one hour after the end of infusion, and 1.2 (0.8-1.4) μg ml-1 at the end of surgery. Comparative analysis between the presence of a preexisting liver disease or not and the association of intraoperative vascular clamping or not did not show significant difference concerning lidocaine blood levels. Conclusion Perioperative lidocaine infusion seems safe in the field of liver surgery. Nevertheless, additional prospective studies need to assess the clinical usefulness in terms of analgesia and antitumoral effects.
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Affiliation(s)
- Pierre Grassin
- Department of Anesthesiology and Critical Care, Caen University Hospital, Caen, France
| | - Richard Descamps
- Department of Anesthesiology and Critical Care, Caen University Hospital, Caen, France
| | - Joanna Bourgine
- Department of Pharmacology, Caen University Hospital, Caen, France
| | - Jean Lubrano
- Department of Digestive Surgery, Caen University Hospital, Caen, France
| | - Anne-Lise Fiant
- Department of Anesthesiology and Critical Care, Caen University Hospital, Caen, France
| | | | - Jean-Luc Hanouz
- Department of Anesthesiology and Critical Care, Caen University Hospital, Caen, France
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Chen J, Liu J, Cao D. Urine metabolomics for assessing fertility-sparing treatment efficacy in endometrial cancer: a non-invasive approach using ultra-performance liquid chromatography mass spectrometry. BMC Womens Health 2023; 23:583. [PMID: 37940929 PMCID: PMC10634093 DOI: 10.1186/s12905-023-02730-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/25/2023] [Indexed: 11/10/2023] Open
Abstract
OBJECTIVE This study aimed to reveal the urine metabolic change of endometrial cancer (EC) patients during fertility-sparing treatment and establish non-invasive predictive models to identify patients with complete remission (CR). METHOD This study enrolled 20 EC patients prior to treatment (PT) and 22 patients with CR, aged 25-40 years. Eligibility criteria consisted of stage IA high-grade EC, lesions confined to endometrium, normal hepatic and renal function, normal urine test, no contraindication for fertility-sparing treatment and no prior therapy. Urine samples were analyzed using ultraperformance liquid chromatography mass spectrometry (UPLC-MS), a technique chosen for its high sensitivity and resolution, allows for rapid, accurate identification and quantification of metabolites, providing a comprehensive metabolic profile and facilitating the discovery of potential biomarkers. Analytical techniques were employed to determine distinct metabolites and altered metabolic pathways. The statistical analyses were performed using univariate and multivariate analyses, logistic regression and receiver operating characteristic (ROC) curves to discover and validate the potential biomarker models. RESULTS A total of 108 different urine metabolomes were identified between CR and PT groups. These metabolites were enriched in ascorbate and aldarate metabolism, one carbon pool by folate, and some amino acid metabolisms pathways. A panel consisting of Baicalin, 5beta-1,3,7 (11)-Eudesmatrien-8-one, Indolylacryloylglycine, Edulitine, and Physapubenolide were selected as biomarkers, which demonstrated the best predictive ability with the AUC values of 0.982/0.851 in training/10-fold-cross-validation group, achieving a sensitivity of 0.975 and specificity of 0.967, respectively. CONCLUSION The urine metabolic analysis revealed the metabolic changes in EC patients during the fertility-sparing treatment. The predictive biomarkers present great potential diagnostic value in fertility-sparing treatments for EC patients, offering a less invasive means of monitoring treatment efficacy. Further research should explore the mechanistic underpinnings of these metabolic changes and validate the biomarker panel in larger, diverse populations due to the small sample size and single-institution nature of our study.
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Affiliation(s)
- Junyu Chen
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Jiale Liu
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Dongyan Cao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, National Clinical Research Center for Obstetric & Gynecologic Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
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Zhang S, Chen S, Zhu F, Wang A, Xia B, Wang J, Huang J, Liu Y, Luo P. Rapid determination of five common toxic alkaloids in blood by UPLC-MRM-IDA-EPI: Application to poisoning case. Leg Med (Tokyo) 2023; 63:102267. [PMID: 37201269 DOI: 10.1016/j.legalmed.2023.102267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 04/12/2023] [Accepted: 04/29/2023] [Indexed: 05/20/2023]
Abstract
Toxic alkaloids are typically found in herbal medicines and have strong pharmacological effects and a broad therapeutic spectrum. On the other hand, toxic alkaloids exert toxicological activities in vivo; as such they have a narrow therapeutic window and can induce poisoning due to incorrect dose or misuse. In this view, there is an urgent need to develop a rapid and sensitive assay to detect these toxic alkaloids. This study developed a method for determining five common toxic alkaloids in blood, including brucine, strychnine, aconitine, mesaconitine, and hypaconitine using ultra-high liquid chromatography-tandem quadrupole/linear ion trap mass spectrometry (QTRAP UPLC-MS/MS). The analytes in this investigation were extracted with ether and detected using multiple reaction monitoring (MRM)-information-dependent acquisition (IDA)-enhanced product ion (EPI) scanning modes. SKF525A served as the internal standard (IS). The approach demonstrated excellent linearity, with a correlation coefficient (R) > 0.9964, and satisfactory sensitivity, with the limit of detection (LOD) of 0.31 ∼ 3.26 ng/mL and a limit of quantification (LOQ) of 1.13 ∼ 11.52 ng/mL. The extraction recovery (ER) was 78.8 ∼ 116.2%, the matrix effect (ME) was -12.3 ∼ 21.2%, and the method accuracy was 0.8 ∼ 12.8%. In addition, the intra-day precision and the inter-day precision (RSD) were 0.7% ∼ 7.4% and 0.4% ∼ 13.5%, respectively. The developed approach is sensitive and efficient, and offer significant application prospect in clinical monitoring and forensic detection of poisoning.
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Affiliation(s)
- Shan Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Shunqin Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Faze Zhu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Aimin Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Bing Xia
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Jie Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China.
| | - Peng Luo
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou 550004, PR China; Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, Guizhou Medical University, Guiyang 550004, PR China.
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Guo J, Pan Y, Chen J, Jin P, Tang S, Wang H, Su H, Wang Q, Chen C, Xiong F, Liu K, Li Y, Su M, Tang T, He Y, Sheng J. Serum metabolite signatures in normal individuals and patients with colorectal adenoma or colorectal cancer using UPLC-MS/MS method. J Proteomics 2023; 270:104741. [PMID: 36174955 DOI: 10.1016/j.jprot.2022.104741] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 08/19/2022] [Accepted: 09/06/2022] [Indexed: 02/01/2023]
Abstract
Colorectal cancer (CRC) is one of the main causes of cancer-related deaths worldwide. Sporadic CRC develops from normal mucosa via adenoma to adenocarcinoma, which provides a long screening window for clinical detection. However, early diagnosis of sporadic colorectal adenoma (CRA) and CRC using serum metabolic screening remains unclear. The purpose of this study was to identify some promising signatures for distinguishing the different pathological metabolites of colorectal mucosal malignant transformation. A total of 238 endogenous metabolites were elected. We found that CRA and CRC patients had 72 and 73 different metabolites compared with healthy controls, respectively. There were 20 different metabolites between CRA and CRC patients. The potential metabolites of tumor growth (including patients with CRA and CRC) were found, such as A-d-glucose, D-mannose, N-acetyl-D-glucosamine, L-cystine, Sarcosine, TXB 2, 12-Hete, and chenodeoxycholic acid. Compared with CRA, 3,4,5-trimethoxybenzoic acid was significantly higher in CRC patients. There results prompt us to use the potential serum signatures to screen CRC as the novel strategy. Serum metabolite screening is useful for early detection of mucosal intestinal malignancy. We will further investigate the roles of these promising biomarkers during intestinal tumorigenesis in future. SIGNIFICANCE: CRC is one of the main causes of cancer-related deaths worldwide. Sporadic CRC develops from normal mucosa via adenomas to adenocarcinoma, which provides a long screening window for about 5-10 years. We adopt the metabolic analysis of extensive targeted metabolic technology. The main purpose of the metabolic group analysis is to detect and screen the different metabolites, thereby performing related functional prediction and analysis of the differential metabolites. In our study, 30 samples are selected, divided into 3 groups for metabolic analysis, and 238 metabolites are elected. In 238 metabolites, we find that CRA patients have 72 different metabolites compared with health control. Compared with health control, CRC have 73 different metabolites. Compared with CRA and CRC patients, there are 20 different metabolites. The annotation results of the significantly different metabolites are classified according to the KEGG pathway type. The potential metabolites of tumor growth stage (including patients with CRA and CRC) are found, such as A-d-glucose, D-mannose, N-acetyl-D-glucosamine, L-cystine, sarcosine, TXB 2, 12-Hete and chenodeoxycholic acid. Compared with CRA patients, CRC patients had significantly higher 3,4,5-trimethoxybenzoic acid level. It is prompted to use serum different metabolites to screen CRC to provide new possibilities.
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Affiliation(s)
- Jiachi Guo
- Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China
| | - Yuanming Pan
- Cancer Research Center, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No. 9 Beiguan Street, Tongzhou District, Beijing 101149, China
| | - Jigui Chen
- Department of Colorectal and Anal Surgery Wuhan, No. 8 Hospital. No. 1307 Zhongshan Avenue, Jiang'an District, Hankou, Wuhan City, Hubei 430010, China
| | - Peng Jin
- Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China
| | - Shan Tang
- Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China
| | - Haihong Wang
- Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China
| | - Hui Su
- Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China
| | - Qian Wang
- Department of Colorectal and Anal Surgery Wuhan, No. 8 Hospital. No. 1307 Zhongshan Avenue, Jiang'an District, Hankou, Wuhan City, Hubei 430010, China
| | - Chao Chen
- Department of Colorectal and Anal Surgery Wuhan, No. 8 Hospital. No. 1307 Zhongshan Avenue, Jiang'an District, Hankou, Wuhan City, Hubei 430010, China
| | - Fei Xiong
- Department of Colorectal and Anal Surgery Wuhan, No. 8 Hospital. No. 1307 Zhongshan Avenue, Jiang'an District, Hankou, Wuhan City, Hubei 430010, China
| | - Kejia Liu
- DHC Mediway Technology Co., Ltd., 14F, Zijin Digital Park, Zhongguancun, Haidian District, Beijing 100190, China
| | - Yansheng Li
- DHC Mediway Technology Co., Ltd., 14F, Zijin Digital Park, Zhongguancun, Haidian District, Beijing 100190, China
| | - Mingliang Su
- DHC Mediway Technology Co., Ltd., 14F, Zijin Digital Park, Zhongguancun, Haidian District, Beijing 100190, China
| | - Tang Tang
- Wuhan Metwell Biotechnology Co., Ltd., Building B7/B8, Biological Industry Innovation Base, 666 Gaoxin Avenue, Donghu New Technology Development Zone, Wuhan City, Hubei 430075, China
| | - Yuqi He
- Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China; The Second School of Clinical Medicine, Southern Medical University, 253 Middle Industrial Avenue, Guangzhou City, Guangdong 510280, China; Department of Gastroenterology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, No. 9 Beiguan Street, Tongzhou District, Beijing 101149, China.
| | - Jianqiu Sheng
- Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28, Fuxing Road Haidian District, Beijing 100853, China; Department of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No. 5 Nanmencang, Dongcheng District, Beijing 100700, China.
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