1.Endovascular recanalization treatment of non-acute symptomatic internal carotid artery occlusion: a single center retrospective case series study
Chao HOU ; Xuan SHI ; Shuxian HUO ; Qin YIN ; Xianjun HUANG ; Yunfei HAN ; Xiaobing FAN ; Xinfeng LIU ; Ruidong YE
International Journal of Cerebrovascular Diseases 2023;31(3):174-180
Objective:To investigate the influencing factors, periprocedural complications, and long-term outcomes of successful recanalization after endovascular treatment in patients with non-acute symptomatic internal carotid artery occlusion.Methods:Patients with non-acute internal carotid artery occlusion received endovascular treatment in the Nanjing Stroke Registration System between January 2010 and December 2021 were retrospectively enrolled. Clinical endpoint events were defined as successful vascular recanalization, periprocedural complications (symptomatic embolism and symptomatic intracranial hemorrhage), neurological function improvement, and recurrence of ipsilateral ischemic events. Multivariate logistic regression analysis was used to investigate the independent influencing factors of successful vascular recanalization. Cox proportional hazards regression analysis was used to investigate the correlation between endovascular treatment outcomes and neurological function improvement, as well as ipsilateral ischemic cerebrovascular events. Results:A total of 296 patients were included, of which 190 (64.2%) were successfully recanalized. Multivariate logistic regression analysis showed that symptoms manifest as ischemic stroke (odds ratio [ OR] 3.353, 95% confidence interval [ CI] 1.399-8.038; P=0.007), the time from the most recent symptom onset to endovascular therapy within 1 to 30 d ( OR 2.327, 95% CI 1.271-4.261; P=0.006), proximal conical residual cavity ( OR 2.853, 95% CI 1.242-6.552; P=0.013) and focal occlusion (C1-C2: OR 3.255, 95% CI 1.296-8.027, P=0.012; C6/C7: OR 5.079, 95% CI 1.334-19.334; P=0.017) were the independent influencing factors for successful vascular recanalization. Successful recanalization did not increase the risk of symptomatic intracranial hemorrhage within 7 d after procedure (3.2% vs. 0.9%; P=0.428). The median follow-up time after procedure was 38 months. Cox proportional hazards regression analysis showed that after adjusting for confounding factors, successful recanalization was significantly associated with postprocedural neurological improvement (hazard ratio 1.608, 95% CI 1.091-2.371; P=0.017), and significantly reduced the risk of recurrence of long-term ischemic events (hazard ratio 0.351, 95% CI 0.162-0.773; P=0.010). Conclusion:In patients with non-acute internal carotid artery occlusion, successful endovascular recanalization can effectively reduce the risk of long-term ischemic events without increasing the risk of symptomatic intracranial hemorrhage.
2.Drug resistance mutations among people living with HIV with treatment failure in Henan Province, China.
Jinjin LIU ; Zhaoyun CHEN ; Shuguang WEI ; Jie MA ; Xiaohua ZHANG ; Shuxian ZHAO ; Qingxia ZHAO ; Xuan YANG ; Yuanyuan LI ; Xuhui CHEN ; Yan SUN ; Yuqi HUO
Chinese Medical Journal 2023;136(22):2744-2746
3.Characteristics of drug resistance in HIV/AIDS patients with antiretroviral treatment failure in Henan Province
Xuan YANG ; Yan SUN ; Yuqi HUO ; Jinjin LIU ; Xiaohua ZHANG ; Shuxian ZHAO ; Qingxia ZHAO ; Xue ZHANG ; Yan WANG ; Zhaoyun CHEN
Chinese Journal of Epidemiology 2023;44(11):1795-1801
Objective:To analyze the drug resistance characteristics of HIV/AIDS patients in Henan Province with antiretroviral treatment (ART) failure through the genotypic drug resistance detection.Methods:Blood samples were collected from HIV/AIDS patients who received ART for more than 6 months with viral loads ≥1 000 copies/ml in 18 cities of Henan from January 2018 to May 2021. The genotypic drug resistance detection was conducted by using an In-house drug resistance detection method. The drug resistance mutation (DRM) and antiretroviral susceptibility were analyzed by submitting the determined sequences to the Stanford HIV-1 drug resistance database. The information about patients' demographic characteristics and antiviral treatment data were collected.Results:A total of 887 HIV/AIDS patients with ART failure, 812 sequences were successfully amplified with the success rate of 91.54%. In the 812 patients, 676 were drug resistant (83.25%, 676/812). The drug resistance ratesto nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and integrase strand transfer inhibitors (INSTIs) were 73.40% (596/812), 80.54% (654/812), 5.54% (45/812), and 2.56% (17/663), respectively. There were significant differences in drug resistance rates among four types of drugs ( χ2=1 686.34, P<0.001). The drug resistance rate to two drugs was 66.38% (539/812), and the drug resistance rate to three drugs was 5.79% (47/812). A total of 9 subtypes of HIV-1were detected, in which subtype B accounted for 59.61%(484/812), followed by subtype CRF01_AE (22.17%, 180/812) and subtype CRF07_BC (9.48%, 77/812). There were significant differences in drug resistance rate among different subtypes ( χ2=21.33, P=0.001). Among NRTIs related mutation sites, the DRM rate of M184V/I was highest (63.42%, 515/812), followed by K65R (27.46%, 223/812). The top three DRM rates were detected for K103N/S (34.98%, 284/812), G190A/S (26.11%, 212/812) and V106M/I (24.63%, 200/812) among NNRTIs related mutation sites, and M46I (4.31%, 35/812), V82A/F (3.82%, 31/812), and I54V/MV (3.69%, 30/812) among PIs related mutation sites. While among INSTIs related mutation sites, E157Q/EQ had the highest DRM rate (3.47%, 23/663), followed by R263K (0.75%, 5/663) and G140A (0.75%, 5/663). The resistance to lamivudine and emtricitabine of NRTIs was at high-level (65.52%, 532/812), and the resistance to nevirapine (77.46%, 629/812) and efavirenz (71.18%, 578/812) of NNRTIs was also at high-level. The medium/high-level resistance to lopinavir/ritonavir of PIs was only 4.19% (34/812), the medium/high-level resistance to elvitegravir and raltegravir of INSTIs was 1.66% (11/663) and 1.21% (8/663), respectively, and no high-level resistance to bictegravir or dolutegravir was found. Conclusions:The drug resistance in HIV/AIDS patients with ART failure was high in Henan, characterized by high drug resistance rates to NRTIs and NNRTIs, and diverse and complex resistance mutations. So high resistance barrier ART-regimens were recommended, and the viral load monitoring and drug resistance testing after ART should be strengthened.
4.Influencing factors of genotypic drug resistance in people living with human immunodeficiency virus/acquired immunodeficiency syndrome who failed anti-retroviral therapy in Henan Province from 2018 to 2022
Yan SUN ; Zhaoyun CHEN ; Yuqi HUO ; Mengyao FENG ; Jinjin LIU ; Xuan YANG ; Qingxia ZHAO ; Xiaohua ZHANG ; Shuxian ZHAO ; Xue ZHANG ; Yan WANG
Chinese Journal of Infectious Diseases 2024;42(4):219-224
Objective:To analyze the influencing factors of genotypic drug resistance mutations in people living with human immunodeficiency virus and acquired immunodeficiency syndrome(PLWHA) who failed anti-retroviral therapy (ART) in Henan Province, in order to provide a basis for adjusting ART regimens and reducing drug resistance.Methods:PLWHA with virological failure (human immunodeficiency virus (HIV) RNA≥500 copies/mL) after receiving ART for more than 24 weeks were included in Henan Province from January 2018 to December 2022. Baseline CD4 + T lymphocyte counts, ART regimens and other clinical data were collected. HIV-1 gene subtypes and their drug resistance sequence mutations were detected in the Sixth People′s Hospital of Zhengzhou, and the sequences were submitted to the HIV Drug Resistance Interpretation System of Stanford University for comparison of test results. Genotypic drug resistance to nucleotide reverse transcriptase inhibitors (NRTI), non-nucleoside reverse transcriptase inhibitors (NNRTI), protease inhibitors (PI) and integrase inhibitors (INSTI) was determined. Multivariate logistic regression was used to analyze the influencing factors of drug resistance in patients with ART failure. Results:Among 982 PLWHA, the sequences of 899 cases were successfully amplified, and drug resistance was detected in 737 cases, with the drug resistance rate of 81.98%(737/899). The rates of resistance to NRTIs, NNRTIs, PIs and INSTIs were 71.97%(647/899), 79.31%(713/899), 5.23%(47/899) and 2.72%(20/734), respectively.The largest number of those who developed concomitant resistance to two classes of drugs was 588 cases (79.78%), mainly NRTI and NNRTI concomitant resistance in 583 cases (79.10%). There were 99 cases (13.43%) who developed resistance to only one class of drugs, and those who developed concurrent resistance to three classes of drugs were 48 cases (6.51%), and two cases (0.27%) were found to be resistant to all four classes of drugs mentioned above. A total of 10 HIV genotypes were detected, among which subtype B accounted for the most (59.73%(537/899)), followed by circulating recombinant form (CRF)01_AE subtype (21.91%(197/899)) and CRF07_BC subtype (9.45%(85/899)). The risk factors affecting the development of drug resistance were baseline CD4 + T lymphocyte counts, ART regimens and HIV-1 genotypes. The risk of drug resistance in patients with baseline CD4 + T lymphocyte counts <100/μL was 4.55 times (95% confidence interval ( CI) 2.69 to 7.70) higher than patients with CD4 + T lymphocyte counts≥250/μL, the risk of drug resistance in patients using 2NRTIs+ NNRTI regimen was 4.51 times (95% CI 1.75 to 11.63) higer than those using 2NRTIs+ INSTI regimen, and patients infected with B and CRF01_AE subtype was 2.18 times (95% CI 1.10 to 4.29) and 2.70 times (95% CI 1.26 to 5.78) higer than those with CRF07_BC subtype, respectively. Conclusions:The incidence of genotypic drug resistance in PLWHA with ART failure in Henan Province is high. Low baseline CD4 + T lymphocyte counts, 2NRTIs+ NNRTI regimens, and genotype B and CRF01_AE are risk factors for drug resistance in PLWHA.
5.A decision tree model to predict successful endovascular recanalization of non-acute internal carotid artery occlusion
Shuxian HUO ; Chao HOU ; Xuan SHI ; Qin YIN ; Xianjun HUANG ; Wen SUN ; Guodong XIAO ; Yong YANG ; Hongbing CHEN ; Min LI ; Mingyang DU ; Yunfei HAN ; Xiaobing FAN ; Xinfeng LIU ; Ruidong YE
International Journal of Cerebrovascular Diseases 2023;31(7):481-489
Objective:To investigate predictive factors for successful endovascular recanalization in patients with non-acute symptomatic internal carotid artery occlusion (SICAO), to develop a decision tree model using the Classification and Regression Tree (CART) algorithm, and to evaluate the predictive performance of the model.Methods:Patients with non-acute SICAO received endovascular therapy at 8 comprehensive stroke centers in China were included retrospectively. They were randomly assigned to a training set and a validation set. In the training set, the least absolute shrinkage and selection operator (LASSO) algorithm was used to screen important variables, and a decision tree prediction model was constructed based on CART algorithm. The model was evaluated using the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow goodness-of-fit test and confusion matrix in the validation set.Results:A total of 511 patients with non-acute SICAO were included. They were randomly divided into a training set ( n=357) and a validation set ( n=154) in a 7:3 ratio. The successful recanalization rates after endovascular therapy were 58.8% and 58.4%, respectively. There was no statistically significant difference ( χ2=0.007, P=0.936). A CART decision tree model consisting of 5 variables, 5 layers and 9 classification rules was constructed using the six non-zero-coefficient variables selected by LASSO regression. The predictive factors for successful recanalization included fewer occluded segments, proximal tapered stump, ASITN/SIR collateral grading of 1-2, ischemic stroke, and a recent event to endovascular therapy time of 1-30 d. ROC analysis showed that the area under curve of the decision tree model in the training set was 0.810 (95% confidence interval 0.764-0.857), and the optimal cut-off value for predicting successful recanalization was 0.71. The area under curve in the validation set was 0.763 (95% confidence interval 0.687-0.839). The accuracy was 70.1%, precision was 81.4%, sensitivity was 63.3%, and specificity was 79.7%. The Hosmer-Lemeshow test in both groups showed P>0.05. Conclusion:Based on the type of ischemic event, the time from the latest event to endovascular therapy, proximal stump morphology, the number of occluded segments, and the ASITN/SIR collateral grading constructed the decision tree model can effectively predict successful recanalization after non-acute SICAO endovascular therapy.
6.Endovascular treatment for symptomatic non-acute long-segment occlusion of the internal carotid artery: comparison with drug therapy
Yue ZHU ; Chao HOU ; Shuxian HUO ; Qin YIN ; Xianjun HUANG ; Wen SUN ; Guodong XIAO ; Yong YANG ; Hongbing CHEN ; Min LI ; Mingyang DU ; Ruidong YE
International Journal of Cerebrovascular Diseases 2024;32(8):576-584
Objective:To investigate the clinical outcome of endovascular treatment vs. drug treatment in patients with symptomatic non-acute long-segment occlusion of the internal carotid artery. Methods:Based on prospective cohort registration research data, patients with symptomatic non-acute long-segment occlusion of internal carotid artery were retrospectively included. They were divided into a drug treatment group and an endovascular treatment group according to the actual treatment received. The latter was further divided into a successful recanalization group and an unsuccessful recanalization group. The endpoint events included ipsilateral ischemic stroke, any stroke, and all-cause death. Multivariate logistic regression analysis was used to compare the endpoint events between groups during the perioprocedural period (within 30 days), and multivariate Cox proportional hazards model was use to compare the endpoint events between the groups during the long-term follow-up. Results:A total of 684 patients were included, of which 570 (83.33%) were male, median aged 63 years (interquartile range, 56-70 years). Three hundred and fifty-three patients (51.6%) received drug treatment; 331 (48.4%) received endovascular treatment, of which 161 (48.6%) had successful recanalization. The median follow-up time was 1 223 days (interquartile range, 646.5-2 082 days), with 109 patients (15.9%) experiencing stroke recurrence events (including 87 ipsilateral ischemic stroke) and 78 (11.4%) experiencing all-cause mortality. The risk of any stroke during the perioprocedural period in the successful recanalization group was significantly higher than that in the drug treatment group (odds ratio 3.679, 95% confidence interval 1.038-13.036; P=0.044), but the risk of ipsilateral ischemic stroke recurrence (risk ratio 0.347, 95% confidence interval 0.152-0.791; P=0.012) and all-cause mortality (risk ratio 0.239, 95% confidence interval 0.093-0.618; P=0.003) during the long-term follow-up were significantly lower than those in the drug treatment group. Conclusions:In patients with symptomatic non-acute long-segment occlusion of the internal carotid artery, endovascular treatment can increase the risk of stroke recurrence within 30 days, but successful recanalization can reduce the risks of long-term ipsilateral ischemic stroke recurrence and all-cause mortality.