1.Optimizing the dosing regimen of aripiprazole microspheres by popu-lation pharmacokinetic modeling and simulation
Qingheng MENG ; Zhihui HAN ; Qi LEI ; Bin CHEN ; Xia YIN ; Haitang HU ; Hongxia LIU ; Qingshan ZHENG ; Ling XU ; Qin HUANG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(4):493-500
AIM:To optimize the clinical dosage and administration regimen of a novel long-acting injectable aripiprazole microsphere(LZMT05)using plasma concentration data from two clinical trials.METHODS:Plasma concentrations were collected from 196 schizophrenia patients administered LZMT05,and a population pharmacokinetic(Pop-PK)model was developed.The therapeutic window was defined as the steady-state trough-to-peak concentration range(94.0-534 ng/mL)of oral ar-ipiprazole.Multiple clinical scenarios were simulat-ed to identify the optimal regimen.RESULTS:A one-compartment model with dual first-order ab-sorption and first-order elimination characterized LZMT05 pharmacokinetics.Covariates like sex and CYP2D6 genotype were integrated into the final model.Simulations demonstrated that switching from 10 mg oral aripiprazole to 350 mg LZMT05 ev-ery 4 weeks sustained concentrations within the therapeutic window with minimal peak-to-trough fluctuations.CONCLUSION:The PopPK-guided opti-mized LZMT05 regimen maintained drug exposure within the therapeutic window,suggesting favor-able efficacy and safety.
2.Quantitative evaluation of the effectiveness of yttrium aluminum garnet laser vitreolysis for symptomatic vitreous opacities
Canfeng HUANG ; Linli WANG ; Jiafeng NING ; Run GAN ; Xiaohe YAN ; Qingshan CHEN
Chinese Journal of Experimental Ophthalmology 2025;43(1):47-51
Objective:To evaluate the effectiveness of yttrium aluminum garnet (Nd∶YAG) laser vitreolysis in the treatment of symptomatic vitreous opacity.Methods:An observational case series study was performed.Forty-four eyes of 44 patients diagnosed as physiological vitreous opacity in Shenzhen Eye Hospital from June 2021 to September 2022 and treated with Nd∶YAG laser vitreolysis were enrolled.Before treatment and 2 months after last treatment, best corrected visual acuity (BCVA) evaluated with standard logarithmic visual acuity chart, floater areas calculated through infrared fundus photography, and objective scattering index (OSI) obtained by the Optical Quality Analysis System (OQAS) were recorded.The occurrence of complications during the follow-up period was recorded.The differences in each indicator were compared, and a simple linear regression model was used to analyze the relationship between floater area and OSI.This study adhered to the Declaration of Helsinki and was approved by the Medical Ethics Committee of Shenzhen Eye Hospital (No.2021-6-3).Patients were informed of the study methods and purposes.Written informed consent was obtained from each subject.Results:There was no significant difference in BCVA before and after Nd∶YAG laser vitreolysis ( t=-0.478, P=0.635).The floater area before laser treatment was (3.043±1.942)mm 2, which was significantly larger than (1.074±0.735)mm 2 after laser treatment ( t=0.769, P<0.001).The OSI before laser treatment was 1.976±0.975, which was significantly greater than 1.560±0.796 after laser treatment ( t=0.730, P<0.001).The results of linear regression analysis showed that the OSI=1.45+ 0.16× floater area ( F=5.681, P=0.020).No patient had visual acuity loss or intraocular pressure increase and no traumatic cataract or retinal damage occurred. Conclusions:After laser treatment, the floater area decreased, the OSI decreased, and the visual quality of patients improved.The OSI from OQAS Ⅱ and floater area can be used as quantitative evaluation indicators to objectively evaluate the effectiveness of Nd∶YAG laser vitreolysis.
3.Quantitative evaluation of the effectiveness of yttrium aluminum garnet laser vitreolysis for symptomatic vitreous opacities
Canfeng HUANG ; Linli WANG ; Jiafeng NING ; Run GAN ; Xiaohe YAN ; Qingshan CHEN
Chinese Journal of Experimental Ophthalmology 2025;43(1):47-51
Objective:To evaluate the effectiveness of yttrium aluminum garnet (Nd∶YAG) laser vitreolysis in the treatment of symptomatic vitreous opacity.Methods:An observational case series study was performed.Forty-four eyes of 44 patients diagnosed as physiological vitreous opacity in Shenzhen Eye Hospital from June 2021 to September 2022 and treated with Nd∶YAG laser vitreolysis were enrolled.Before treatment and 2 months after last treatment, best corrected visual acuity (BCVA) evaluated with standard logarithmic visual acuity chart, floater areas calculated through infrared fundus photography, and objective scattering index (OSI) obtained by the Optical Quality Analysis System (OQAS) were recorded.The occurrence of complications during the follow-up period was recorded.The differences in each indicator were compared, and a simple linear regression model was used to analyze the relationship between floater area and OSI.This study adhered to the Declaration of Helsinki and was approved by the Medical Ethics Committee of Shenzhen Eye Hospital (No.2021-6-3).Patients were informed of the study methods and purposes.Written informed consent was obtained from each subject.Results:There was no significant difference in BCVA before and after Nd∶YAG laser vitreolysis ( t=-0.478, P=0.635).The floater area before laser treatment was (3.043±1.942)mm 2, which was significantly larger than (1.074±0.735)mm 2 after laser treatment ( t=0.769, P<0.001).The OSI before laser treatment was 1.976±0.975, which was significantly greater than 1.560±0.796 after laser treatment ( t=0.730, P<0.001).The results of linear regression analysis showed that the OSI=1.45+ 0.16× floater area ( F=5.681, P=0.020).No patient had visual acuity loss or intraocular pressure increase and no traumatic cataract or retinal damage occurred. Conclusions:After laser treatment, the floater area decreased, the OSI decreased, and the visual quality of patients improved.The OSI from OQAS Ⅱ and floater area can be used as quantitative evaluation indicators to objectively evaluate the effectiveness of Nd∶YAG laser vitreolysis.
4.Optimizing the dosing regimen of aripiprazole microspheres by popu-lation pharmacokinetic modeling and simulation
Qingheng MENG ; Zhihui HAN ; Qi LEI ; Bin CHEN ; Xia YIN ; Haitang HU ; Hongxia LIU ; Qingshan ZHENG ; Ling XU ; Qin HUANG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(4):493-500
AIM:To optimize the clinical dosage and administration regimen of a novel long-acting injectable aripiprazole microsphere(LZMT05)using plasma concentration data from two clinical trials.METHODS:Plasma concentrations were collected from 196 schizophrenia patients administered LZMT05,and a population pharmacokinetic(Pop-PK)model was developed.The therapeutic window was defined as the steady-state trough-to-peak concentration range(94.0-534 ng/mL)of oral ar-ipiprazole.Multiple clinical scenarios were simulat-ed to identify the optimal regimen.RESULTS:A one-compartment model with dual first-order ab-sorption and first-order elimination characterized LZMT05 pharmacokinetics.Covariates like sex and CYP2D6 genotype were integrated into the final model.Simulations demonstrated that switching from 10 mg oral aripiprazole to 350 mg LZMT05 ev-ery 4 weeks sustained concentrations within the therapeutic window with minimal peak-to-trough fluctuations.CONCLUSION:The PopPK-guided opti-mized LZMT05 regimen maintained drug exposure within the therapeutic window,suggesting favor-able efficacy and safety.
5.The predictive value of systemic immune-inflammatory response index combined with tumor burden score in the prognosis of patients after radical resection for intrahepatic cholangiocarcinoma
Hao YUAN ; Haofeng ZHANG ; Qingshan LI ; Guan HUANG ; Zhenwei YANG ; Pengyu CHEN ; Zuochao QI ; Chenxi XIE ; Bo MENG ; Haibo YU
Chinese Journal of Digestion 2024;44(4):257-265
Objective:To explore the prognostic value of systemic immune-inflammatory index(SII)combined with tumor burden score (TBS) (hereinafter referred to as STS) in patients with intrahepatic cholangiocarcinoma (ICC) after radical resection, and to construct a nomogram model.Methods:The clinical data (including the degree of tumor differentiation, vascular cancer thrombus, and lymph node metastasis, etc.) of 258 ICC patients who received radical resection at People′s Hospital of Zhengzhou University (170 cases, training set) and Cancer Hospital of Zhengzhou University (88 cases, validation set) from January 1, 2016 to January 31, 2020 were retrospectively analyzed and graded by SII, TBS and STS. Multivariate Cox regression analysis were used to identify independent factors affecting the prognosis of patients with ICC. Kaplan-Meier survival curve and receiver operating characteristic curve (ROC) were drawn to evaluate the predictive efficiency of SII, TBS and STS in the overall survival of patients with ICC after radical resection. The nomogram prediction model was constructed and evaluate the performance of nomogram model using consistency index (C-index) and calibration curve.Results:Among 170 ICC patients in the training set, there were 106 cases of SII grade 1 and 64 cases of SII grade 2; 137 cases of TBS grade 1 and 33 cases of TBS grade 2; and 98 cases of STS grade 1, 47 cases of STS grade 2, and 25 cases of STS grade 3. Among 88 ICC patients in the validation set, there were 33 cases of SII grade 1 and 55 cases of SII grade 2; 66 cases of TBS grade 1 and 22 cases of TBS grade 2; and 30 case of STS grade 1, 39 cases of TBS grade 2, and 19 cases of TBS grade 3.The multivariate Cox regression analysis showed that tumor differentiation degree (highly differentiated vs. moderately differentiated HR=0.157, 95% confidence interval(95% CI) 0.045 to 0.546, highly differentiated vs. poorly differentiated HR=0.452, 95% CI 0.273 to 0.750), STS (grade 3 vs. grade 2 HR=1.966, 95% CI 1.148 to 3.469; grade 3 vs. grade 1 HR=1.405, 95% CI 0.890 to 2.216), vascular cancer thrombus ( HR=2.006, 95% CI 1.313 to 3.066), nerve invasion ( HR=1.865, 95% CI 1.221 to 2.850), and lymph node metastasis ( HR=1.802, 95% CI 1.121 to 2.896) were independent influencing factors of overall survival in ICC patients after radical resection (all P<0.05). The Kaplan-Meier survival curve showed that SII, TBS, and STS were independent influencing factors of overall survival in ICC patients (all P<0.05). The results of ROC analysis showed that the areas under the curve of SII, TBS and STS in predicting overall survival of ICC patients after radical resection were 0.566 (95% CI 0.479 to 0.652), 0.585 (95% CI 0.499 to 0.672), and 0.657 (95% CI 0.522 to 0.692), respectively. Tumor differentiation, vascular tumor thrombus, nerve invassion, lymph node metastasis, and STS were included to constract the nomogram model. The C-indexes of the training set and validation set based on the nomogram model were 0.792 (95% CI 0.699 to 0.825) and 0.776 (95% CI 0.716 to 0.833), respectively. The calibration curves of the survival rate of the training set and the validation set were close to the reference lines, and the nomogram model had better predictive ability in both the training set and the validation set. Conclusions:Preoperative STS grading is an effective and practical predictor of overall survival in ICC patients after radical section. Compared with SII and TBS alone, it has better predictive value for the prognosis of patients with ICC.
6.Construction of a nomogram prediction model for survival after radical surgery for intrahepatic cholangiocarcinoma
Guan HUANG ; Qingshan LI ; Haofeng ZHANG ; Guangfa ZHAO ; Zhenwei YANG ; Zhaoyang LIU ; Zhiyuan REN ; Haibo YU
Chinese Journal of Hepatobiliary Surgery 2023;29(2):97-102
Objective:To study the factors influencing survival after radical resection in patients with intrahepatic cholangiocarcinoma (ICC), and to construct a nomogram on survival prediction.Methods:The clinical data of 139 patients with ICC who underwent radical resection at the People's Hospital of Zhengzhou University from June 2018 to December 2021 were retrospectively analyzed. There are 69 males and 70 females, aged (59.5±10.2) years old. These patients were divided into two groups based on a 3: 1 ratio by using the random number method: the test group ( n=104) and the validation group ( n=35). Data from the test group was used to construct a nomagram and data from the validation group was used to validate the predictive power of the nomagram. Univariate and multivariate Cox regression analyses were used to analyse factors influencing survival on the test group patients and to construct a nomogram. The predictive accuracy of the nomogram was determined by receiver operating characteristic (ROC) curves, concordance index (C-index) and calibration curves. Results:The results of the multivariate regression analysis showed that a combined hemoglobin, albumin, lymphocyte and platelet immunoinflammation (HALP) score <37.1 ( HR=1.784, 95% CI: 1.047-3.040), CA19-9 > 35U/ml ( HR=2.352, 95% CI: 1.139-4.857), poorly differentiated tumor ( HR=2.475, 95% CI: 1.237-4.953) and vascular invasion ( HR=1.897, 95% CI: 1.110-3.244) were independent risk factors that affected prognosis of patients with ICC after radical resection (all P<0.05). The AUCs of the nomogram in the test group in predicting the overall survival at 1, 2 and 3 years of patients with ICC after radical resection were 0.808, 0.853 and 0.859, respectively. There was good consistency between the prediction of the nomogram and actual observation. The predicted C-index of the total survival period of the test group was 0.765 (95% CI: 0.704-0.826), and the C-index of the validation group was 0.759 (95% CI: 0.673-0.845). Conclusion:A HALP score <37.1, CA19-9>35 U/ml, poorly differentiated tumour and vascular invasion were independent risk factors for prognosis of ICC patients after radical resection. The nomogram was established based on the above factors and showed good performance in predicting overall survival after radical resection in patients with ICC.
7.Construction and evaluation of a nomogram prediction model for survival after radical surgical resection of intrahepatic cholangiocarcinoma based on the albumin-bilirubin index
Haofeng ZHANG ; Qingshan LI ; Guan HUANG ; Zhenwei YANG ; Zhiyuan REN ; Haibo YU
Chinese Journal of Hepatobiliary Surgery 2023;29(6):428-433
Objective:To construct a nomogram prediction model for survival after radical surgical resection of intrahepatic cholangiocarcinoma (ICC) based on the albumin-bilirubin index (ALBI), and to evaluate its predictive efficacy.Methods:From January 2016 to January 2020, 170 patients with ICC who underwent radical surgical resection at the People's Hospital of Zhengzhou University were retrospectively analyzed. There were 90 males and 80 females, aged (58.5±10.6) years old. Based on a ratio of 7∶3 by the random number table, the patients were divided into the training set ( n=117) and the internal validation set ( n=53). The training set was used for nomogram model construction, and the validation set was used for model validation and evaluation. Follow up was conducted through outpatient reexamination and telephone contact. The Kaplan-Meier method was used for survival analysis, and a nomogram was drawn based on variables with a P<0.05 in multivariate Cox regression analysis. The predictive strength of the predictive model was evaluated by analyzing the consistency index (C-index), calibration curve, and clinical decision curve of the training and validation sets. Results:Multivariate Cox regression analysis showed that carbohydrate antigen 19-9 (CA19-9) ≥37 U/ml ( HR=1.99, 95% CI: 1.10-3.60, P=0.024), ALBI≥-2.80 ( HR=2.43, 95% CI: 1.40-4.22, P=0.002), vascular tumor thrombus ( HR=2.34, 95% CI: 1.40-3.92, P=0.001), and the 8th edition AJCC N1 staging ( HR=2.18, 95% CI: 1.21-3.95, P=0.010) were independent risk factors affecting postoperative survival of ICC patients after curative resection. The predictive model constructed based on the above variables was then evaluated, and the C-index of the model was 0.76. Calibration curve showed the predicted survival curve of ICC patients at 3 years after surgery based on the model was well-fitted to the 45° diagonal line which represented actual survival. Clinical decision curve analysis showed that the model had a significant positive net benefit in both the training and validation sets. Conclusion:The nomograph model for survival rate after radical resection of ICC was constructed based on four variables: ALBI, CA19-9, vascular tumor thrombus, and AJCC N staging (8th edition) in this study. This model provided a reference for more accurate prognosis evaluation and treatment selection plan for ICC patients.
8.Inflammatory markers-based preoperative differentiation model of intrahepatic cholangiocarcinoma and combined hepatocellular carcinoma
Pengyu CHEN ; Zhenwei YANG ; Haofeng ZHANG ; Guan HUANG ; Hao YUAN ; Zuochao QI ; Qingshan LI ; Peigang NING ; Haibo YU
Chinese Journal of Hepatobiliary Surgery 2023;29(8):573-577
Objective:To establish and validate a preoperative differentiateon model of intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular carcinoma (CHC) based on the inflammatory markers and conventional clinical indicators.Methods:The clinical data of 116 patients with ICC or CHC admitted to Henan Provincial People's Hospital from January 2018 to March 2023 were retrospectively analyzed, including 74 males and 42 females, aged (58.5±9.4) years old. The data of 83 patients were used to establish the differentiation model as the training group, including 50 cases of ICC and 33 cases of CHC. The data of 33 patients were used to validate the model as the validation group, including 20 cases of ICC and 13 cases of CHC. The clinical data including the platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), prognostic inflammatory index (PII), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) were collected and analyzed. The receiver operating characteristic (ROC) curve was used to analyze the best cut-off values of PLR, SII, PII, PNI, NLR and LMR. Univariate and multivariate logistic regression analysis were used to determine the differential factors between ICC and CHC. The R software was used to draw the nomogram, calculate the area under the curve (AUC) to evaluate the model accuracy, and draw the calibration chart and the decision curve to evaluate the predictive efficacy of the model.Results:Univariate logistic regression analysis showed that liver cirrhosis, history of hepatitis, alpha fetoprotein, carbohydrate antigen 199, gamma-glutamyltransferase (GGT), PLR, PNI and inflammation score (IS) could be used to differentiate ICC from CHC (all P<0.05). The indicators identified in univariate analysis were included in multivariate logistic regression analysis. The results showed that absence of liver cirrhosis, GGT>60 U/L, PNI>49.53, and IS<2 indicated the pathology of ICC (all P<0.05). Based on the above four factors, a nomogram model was established to differentiate the ICC and CHC. The AUC of ROC curve of the nomogram model in the training and validation groups were 0.851 (95% CI: 0.769-0.933) and 0.771 (95% CI: 0.594-0.949), respectively. The sensitivities were 0.760 and 0.750, and the specificities were 0.818 and 0.769, respectively. The calibration chart showed that the predicted curve fitted well to the reference line. The decision curve showed that the model has a clear positive net benefit. Conclusion:The nomogram model based on inflammatory markers showed a good differentiation performance of ICC and CHC, which could benefits the individualized treatment.
9.Chinese expert consensus on emergency surgery for severe trauma and infection prevention during corona virus disease 2019 epidemic (version 2023)
Yang LI ; Yuchang WANG ; Haiwen PENG ; Xijie DONG ; Guodong LIU ; Wei WANG ; Hong YAN ; Fan YANG ; Ding LIU ; Huidan JING ; Yu XIE ; Manli TANG ; Xian CHEN ; Wei GAO ; Qingshan GUO ; Zhaohui TANG ; Hao TANG ; Bingling HE ; Qingxiang MAO ; Zhen WANG ; Xiangjun BAI ; Daqing CHEN ; Haiming CHEN ; Min DAO ; Dingyuan DU ; Haoyu FENG ; Ke FENG ; Xiang GAO ; Wubing HE ; Peiyang HU ; Xi HU ; Gang HUANG ; Guangbin HUANG ; Wei JIANG ; Hongxu JIN ; Laifa KONG ; He LI ; Lianxin LI ; Xiangmin LI ; Xinzhi LI ; Yifei LI ; Zilong LI ; Huimin LIU ; Changjian LIU ; Xiaogang MA ; Chunqiu PAN ; Xiaohua PAN ; Lei PENG ; Jifu QU ; Qiangui REN ; Xiguang SANG ; Biao SHAO ; Yin SHEN ; Mingwei SUN ; Fang WANG ; Juan WANG ; Jun WANG ; Wenlou WANG ; Zhihua WANG ; Xu WU ; Renju XIAO ; Yang XIE ; Feng XU ; Xinwen YANG ; Yuetao YANG ; Yongkun YAO ; Changlin YIN ; Yigang YU ; Ke ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Gang ZHAO ; Xiaogang ZHAO ; Xiaosong ZHU ; Yan′an ZHU ; Changju ZHU ; Zhanfei LI ; Lianyang ZHANG
Chinese Journal of Trauma 2023;39(2):97-106
During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.
10.Construction and evaluation of a predictive nomogram model for the prognosis of intrahepatic cholangiocarcinoma patients undergoing curative resection based on the albumin-bilirubin score and tumor burden score grade
Haofeng ZHANG ; Hao YUAN ; Qingshan LI ; Guan HUANG ; Zhenwei YANG ; Pengyu CHEN ; Zuochao QI ; Chenxi XIE ; Bo MENG ; Haibo YU
Chinese Journal of Hepatobiliary Surgery 2023;29(11):836-842
Objective:A predictive nomogram model for the prognosis of intrahepatic cholangiocarcinoma (ICC) patients after curative resection was constructed based on the albumin-bilirubin score and tumor burden score (ATS) grade, and the predictive performance of the nomogram model was evaluated.Methods:Retrospective analysis of clinical data was made, from ICC patients who underwent curative resection at Zhengzhou University People's Hospital and Zhengzhou University Cancer Hospital from January 2016 to January 2020. A total of 258 patients were included in the study, with 140 males and 118 females, with an average age of (56.5±9.5) years. The 258 ICC patients were randomly divided into a training set ( n=174) and a testing set ( n=84) in a 7∶3 ratio. Single-factor and multi-factor Cox regression analyses were performed to identify prognostic factors for ICC patients of the training set, and then a nomogram model was constructed. The performance of the nomogram model was evaluated by using the concordance index (C-index), calibration curve, and risky decision curve analysis. Results:In the training set, univariate Cox regression analysis indicated that albumin-bilirubin (ALBI), tumor burden score (TBS), carcinoembryonic antigen (CEA), tumor differentitation, lymphvascular invasion and ATS significantly influenced overall survival after radical resection for ICC (all P<0.05). Multifactorial Cox regression analysis revealed that ATS grade, CEA, tumor differentiation, lymphovascular invasion, and AJCC N stage are independent risk factors for the prognosis of ICC patients after curative resection (all P<0.05). Assessment of the postoperative survival prediction model based on multifactorial Cox regression yielded a C-index of 0.775(95% CI: 0.747-0.841) for the training set and 0.731(95% CI: 0.668-0.828) for the testing set. The calibration curves for both the training and testing sets indicated strong predictive capability of the model. Additionally, the risk decision curve also suggested high net benefit of the model. Conclusions:The preoperative ATS grade is an independent factor affecting the survival after ICC radical resection. The nomogram model constructed based on ATS grade demonstrates excellent predictive value for postoperative prognosis in ICC patients.

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