Objective To explore the risk factors for obstetric septic shock.Methods The clinical data of 122 obstetric sepsis patients from Jan.2013 to Apr.2025 were retrospectively analyzed.The patients were assigned to shock group(n=26)or non-shock group(n=96)based on whether they progressed to septic shock.Variables including age,body mass index,multiple pregnancy,sequential organ failure assessment(SOFA)score,organ dysfunction status,white blood cell count(WBC),neutrophil count(NEU),neutrophil ratio,platelet count,procalcitonin,C-reactive protein,lactate(Lac),and D-dimer were recorded.Multivariate logistic regression analysis was used to identify the independent risk factors for obstetric septic shock.The predictive efficacy of these factors was evaluated using receiver operating characteristic(ROC)curve analysis.Results The proportions of patients aged≥35 years,and those with respiratory,cardiac,or central nervous system dysfunction,were significantly higher in the shock group than in the non-shock group,and the SOFA score,WBC,NEU,neutrophil ratio and Lac level were significantly higher in the shock group(all P＜0.05).Multivariate logistic regression analysis showed that increased NEU(odds ratio[OR]=1.093,95%confidence interval[CI]1.022-1.169,P=0.010)and age≥35 years(OR=3.433,95%CI 1.112-10.602,P=0.032)were independent risk factors for obstetric septic shock.ROC curve analysis showed that NEU had predictive value for obstetric septic shock(area under curve=0.741,95%CI 0.634-0.848),with an optimal cut-offvalue of 17.17×109/L.Conclusion Increased NEU and age≥35 years are independent risk factors for obstetric septic shock.NEU has predictive value for the development of obstetric septic shock and may serve as an important indicator for clinical assessment and timely treatment.

Objective:To investigate the association of skeletal muscle function(including muscle strength and physical performance) and insulin resistance as well as type 2 diabetes mellitus(T2DM).Methods:The retrospective study included 942 patients who visited the Department of Geriatrics at Renji Hospital, Shanghai Jiao Tong University School of Medicine, between October 2020 and July 2024. Low skeletal muscle function was defined as either reduced muscle strength or impaired physical performance. Muscle strength was assessed by grip strength, while physical performance was evaluated using the 5-time chair stand test. The associations between muscle function, insulin resistance, and T2DM were analyzed.Results:A significant association was observed between decreased skeletal muscle function and a higher prevalence of T2DM( P=0.001). Further analysis revealed that decreased physical performance was significantly associated with increased T2DM prevalence( P<0.001), whereas reduced muscle strength showed no significant association with T2DM prevalence( P=0.331). Linear regression analysis indicated that both the homeostasis model assessment of insulin resistance(HOMA2-IR) and fasting blood glucose levels increased significantly with longer chair stand times( P<0.05). Restrictive cubic spline(RCS) analysis demonstrated a nonlinear relationship between chair-rising time and HOMA2-IR. Notably, when the cumulative chair-rising time exceed 8.1 s, HOMA2-IR increased significantly with prolonged chair stand time. Logistic regression analysis showed that compared with patients with normal physical performance, those with decreased physical performance had significantly higher odds of T2DM( OR=2.64, P<0.001) and insulin resistance( OR=2.34, P=0.002). Conclusion:Decline in physical performance is significantly positively associated with insulin resistance and the risk of T2DM. Morever, when the cumulative chair stand time exceed 8.1 s, HOMA2-IR increases progressively with further prolongation of chair stand time.

Sarcopenia is characterized by a decline in both skeletal muscle mass and function. Since skeletal muscle is the primary organ responsible for insulin-stimulated glucose uptake, sarcopenia, which occurs with aging, is believed to promote insulin resistance in skeletal muscle, leading to disruptions in glucose metabolism. Growing clinical evidence indicates that decreased muscle function may contribute to the development of type 2 diabetes, while a reduction in muscle mass alone does not appear to be significantly associated with its onset. This review, based on the latest research, summarizes the clinical evidence linking sarcopenia to glucose metabolism abnormalities and potential mechanisms through which impaired muscle function affects glucose metabolism. The goal is to inspire early prevention, intervention, and management of type 2 diabetes by targeting skeletal muscle.

OBJECTIVE To understand the drug resistance among the acquired immune deficiency syndrome(AIDS)population who failed in the antiviral therapy from 2022 to 2023 and analyze the molecular network.METHODS The plasma specimens were collected from the population with viral load no less than 1000 cps/ml who received antiviral therapy for more than 6 months in Aksu area from 2022 to 2023,which were delivered to Aksu Regional Center for Disease Control and Prevention for test.MEGA5 and the Stanford University drug resistance database were employed to determine the subtypes and drug resistance after the sequences of human immunodefi-ciency virus type Ⅰ polymerase gene region(HIV-1pol)were obtained,and the molecular network was established by HIV-trace.RESULTS Totally 648 sequences of HIV-1pol region were obtained,CRF07_BC(97.69％)was the major subtype,and the drug resistance rate was 58.33％;the drug resistance rates to non-nucleoside reverse transcriptase inhibitor(NNRTI),nucleoside reverse transcriptase inhibitor(NRTI)and protease inhibitor(PI)were 51.70％,19.75％and8.64％,respectively.The univariate analysis showed that year(x2=6.341),age(x2=18.455)and route of infection(x2=14.061)had remarkable effects on the drug resistance among the population with failed ART(P＜0.05).Multivariate regression analysis indicated that the drug resistance rate was higher in 2022 than in 2023(95％CI:1.132 to 2.191),and the drug resistance rate was higher among the population aged less than 60 years old than among the population more than 6 years old(95％CI:3.647 to 70.268,95％CI:1.435 to 8.235,95％CI:1.061 to 6.164,re-spectively).With 1.5％of the genetic distance set as the threshold,the molecular network was established,the network access rate was 49.07％,77.14％of the clusters had drug-resistant mutation sites,and the male population was at higher risk of network access than the female population.CONCLUSIONS The drug resistance rate is relatively high among the AIDS population with failed ART,and the drug-resistant strains appear in clusters in the molecular network.It is neces-sary to further strengthen the monitoring of drug resistance and improve the quality of the follow-up so as to reduce the occurrence of drug resistance and transmission of virulent strains.

OBJECTIVE To understand the drug resistance among the acquired immune deficiency syndrome(AIDS)population who failed in the antiviral therapy from 2022 to 2023 and analyze the molecular network.METHODS The plasma specimens were collected from the population with viral load no less than 1000 cps/ml who received antiviral therapy for more than 6 months in Aksu area from 2022 to 2023,which were delivered to Aksu Regional Center for Disease Control and Prevention for test.MEGA5 and the Stanford University drug resistance database were employed to determine the subtypes and drug resistance after the sequences of human immunodefi-ciency virus type Ⅰ polymerase gene region(HIV-1pol)were obtained,and the molecular network was established by HIV-trace.RESULTS Totally 648 sequences of HIV-1pol region were obtained,CRF07_BC(97.69％)was the major subtype,and the drug resistance rate was 58.33％;the drug resistance rates to non-nucleoside reverse transcriptase inhibitor(NNRTI),nucleoside reverse transcriptase inhibitor(NRTI)and protease inhibitor(PI)were 51.70％,19.75％and8.64％,respectively.The univariate analysis showed that year(x2=6.341),age(x2=18.455)and route of infection(x2=14.061)had remarkable effects on the drug resistance among the population with failed ART(P＜0.05).Multivariate regression analysis indicated that the drug resistance rate was higher in 2022 than in 2023(95％CI:1.132 to 2.191),and the drug resistance rate was higher among the population aged less than 60 years old than among the population more than 6 years old(95％CI:3.647 to 70.268,95％CI:1.435 to 8.235,95％CI:1.061 to 6.164,re-spectively).With 1.5％of the genetic distance set as the threshold,the molecular network was established,the network access rate was 49.07％,77.14％of the clusters had drug-resistant mutation sites,and the male population was at higher risk of network access than the female population.CONCLUSIONS The drug resistance rate is relatively high among the AIDS population with failed ART,and the drug-resistant strains appear in clusters in the molecular network.It is neces-sary to further strengthen the monitoring of drug resistance and improve the quality of the follow-up so as to reduce the occurrence of drug resistance and transmission of virulent strains.

Objective:To investigate the association of skeletal muscle function(including muscle strength and physical performance) and insulin resistance as well as type 2 diabetes mellitus(T2DM).Methods:The retrospective study included 942 patients who visited the Department of Geriatrics at Renji Hospital, Shanghai Jiao Tong University School of Medicine, between October 2020 and July 2024. Low skeletal muscle function was defined as either reduced muscle strength or impaired physical performance. Muscle strength was assessed by grip strength, while physical performance was evaluated using the 5-time chair stand test. The associations between muscle function, insulin resistance, and T2DM were analyzed.Results:A significant association was observed between decreased skeletal muscle function and a higher prevalence of T2DM( P=0.001). Further analysis revealed that decreased physical performance was significantly associated with increased T2DM prevalence( P<0.001), whereas reduced muscle strength showed no significant association with T2DM prevalence( P=0.331). Linear regression analysis indicated that both the homeostasis model assessment of insulin resistance(HOMA2-IR) and fasting blood glucose levels increased significantly with longer chair stand times( P<0.05). Restrictive cubic spline(RCS) analysis demonstrated a nonlinear relationship between chair-rising time and HOMA2-IR. Notably, when the cumulative chair-rising time exceed 8.1 s, HOMA2-IR increased significantly with prolonged chair stand time. Logistic regression analysis showed that compared with patients with normal physical performance, those with decreased physical performance had significantly higher odds of T2DM( OR=2.64, P<0.001) and insulin resistance( OR=2.34, P=0.002). Conclusion:Decline in physical performance is significantly positively associated with insulin resistance and the risk of T2DM. Morever, when the cumulative chair stand time exceed 8.1 s, HOMA2-IR increases progressively with further prolongation of chair stand time.

Sarcopenia is characterized by a decline in both skeletal muscle mass and function. Since skeletal muscle is the primary organ responsible for insulin-stimulated glucose uptake, sarcopenia, which occurs with aging, is believed to promote insulin resistance in skeletal muscle, leading to disruptions in glucose metabolism. Growing clinical evidence indicates that decreased muscle function may contribute to the development of type 2 diabetes, while a reduction in muscle mass alone does not appear to be significantly associated with its onset. This review, based on the latest research, summarizes the clinical evidence linking sarcopenia to glucose metabolism abnormalities and potential mechanisms through which impaired muscle function affects glucose metabolism. The goal is to inspire early prevention, intervention, and management of type 2 diabetes by targeting skeletal muscle.

Chimeric antigen receptor-modified T(CAR-T)cell therapy,as a new type of cellular immunotherapy,has shown good clinical efficacy in the treatment of malignant hematological tumors,especially B-cell acute lympho-blastic leukemia.However,there are problems such as antigen loss and immune evasion in single-target selection,so multi-target therapy strategies are gradually gaining attention.Multi-target CAR-T can effectively avoid antigen escape caused by a single target by targeting multiple tumor-associated antigens at the same time,reduce the risk of recurrence,and is expected to improve the therapeutic effect.This paper primarily discusses the structural types of multi-target CAR-T cell therapy and its clinical trial applications in the treatment of B-cell acute lymphoblastic leu-kemia(B-ALL),aiming to provide future references for the treatment of B-ALL.

Objective:To explore the independent risk factors for chemoresistance during gemcitabine plus cisplatin (GC) adjuvant chemotherapy in patients with locally advanced bladder cancer after radical cystectomy and to construct a related predictive model.Methods:The clinical data of 228 patients with locally advanced bladder cancer who received GC chemotherapy after radical cystectomy at Beijing Friendship Hospital, Capital Medical University, from January 2013 to June 2024 were retrospectively analyzed. Among them, 184 were males, and 44 were females, with an average age of (68.8±10.6)years and an average body mass index (BMI) of (24.2±3.6)kg/m 2. According to tumor progression during chemotherapy, patients were divided into a chemotherapy-resistant(CR) group ( n=59) and a non-chemotherapy-resistant(NCR) group ( n=169). Independent sample t-test, chi-square test, and non-parametric test were used to compare general clinical characteristics and relevant examination results during chemotherapy between the two groups. Multivariate linear regression analysis was used to identify independent risk factors for GC chemoresistance. Propensity score matching (PSM) was used to match the TNM stage data between the two groups, and Kaplan-Meier and log-rank tests were used to compare overall survival(OS)after matching. Results:The median number of chemotherapy cycles was 3 in the CR group and 4 in the NCR group. Compared with the NCR group, CR patients were younger [(66.3±9.4) years vs.(69.7±10.9)years], had a higher proportion of kidney transplantation history[6.8%(4/59) vs. 0.6%(1/169)], hypertension [50.8%(30/59) vs. 36.1%(61/169)], coronary heart disease[23.7%(14/59) vs.9.5% (16/169)], and hydronephrosis [13.6%(8/59) vs. 4.1%(7/169)](all P<0.05). CR patients had a higher proportion of T 4 stage [20.3% (12/59) vs. 5.9% (10/169)], N 2 stage [42.4% (25/59) vs. 8.3% (14/169)], multifocal tumors at initial diagnosis [59.3% (35/59) vs. 26.6% (45/169)], and larger maximum tumor diameter [2.5 (1.5, 3.4) cm vs. 1.6 (1.2, 2.5) cm] (all P < 0.05). The CR group showed higher proportions of long-term urinary tract infection (UTI) [90.1% (53/59) vs. 7.7% (15/169)], higher systemic immune-inflammation index (SII) [991.6 (451.0, 1577.9) vs. 462.8 (309.0, 766.7)], absolute neutrophil count [6.5(4.1, 7.8)× 10 9/L vs. 3.9 (2.9, 5.1)× 10 9/L], and platelet count [(220.0 ± 96.2)× 10 9/L vs. (191.0 ± 64.8)× 10 9/L], but lower albumin levels [(34.3 ± 4.2) g/L vs. (39.9 ± 3.8) g/L] and albumin-to-globulin ratio (A/G) [(1.2 ± 0.3) vs. (1.3 ± 0.2)] (all P < 0.05). Multivariate linear regression analysis identified only T stage and long-term UTI as independent risk factors for GC chemoresistance( P<0.05).The probability of GC chemoresistance in bladder cancer patients was calculated as: P(Chemoresistance)=[0.155×T stage+ 0.624×(long-term UTI)]×100%(long-term UTI = 1 if present during chemotherapy, otherwise=0). After PSM, survival analysis showed that the median OS was significantly higher in the NCR group (55 months) than that in the CR group (30 months) ( P=0.020). Conclusions:This study demonstrates that advanced T stage and persistent UTI are independent risk factors for GC chemotherapy resistance in locally advanced bladder cancer patients. Based on these findings, a predictive model for chemotherapy resistance probability was constructed using multivariate linear regression analysis.

Objective:To investigate the relationship between serum insulin-like growth factor-1 (IGF-1) levels and intracranial or extracranial atherosclerosis in patients with cerebral small vessel disease (CSVD).Methods:A total of 407 patients with CSVD admitted to Xiangya Hospital of Central South University between July 2021 and September 2023 were enrolled in the study. Carotid duplex ultrasound was used to measure the internal diameter, intima-media thickness (IMT), vascular wall thickness, plaque property score, stenosis index, and stenosis ratio of the bilateral common carotid arteries, internal carotid arteries, external carotid arteries, and vertebral arteries. Magnetic resonance angiography was used to assess the degree of stenosis in intracranial arteries. Patients were divided into 4 groups based on the serum IGF-1 levels (low level group:≤5.21 ng/ml, medium level group:>5.21 ng/ml and ≤10.73 ng/ml, high level group:>10.73 ng/ml and ≤24.26 ng/ml, extremely high level group:>24.26 ng/ml). The IMT of the common carotid artery, carotid plaques, diameters of various cervical vascular lumens, carotid artery diameter stenosis, and intracranial artery stenosis in 4 groups of the patients were compared. The relationship between IGF-1 and intracranial and extracranial atherosclerosis was analyzed by univariate Logistic regression analysis and multivariate Logistic regression analysis.Results:There were inter group differences among the 4 groups in internal carotid artery diameter [low level group 5.45 (0.50) mm vs medium level group 5.32 (0.55) mm vs high level group 5.30 (0.55) mm vs extremely high level group 5.30 (0.50) mm; H=8.210, P=0.042]. The carotid IMT [low level group 0.80 (0.05) mm vs medium level group 0.80 (0.05) mm vs high level group 0.83 (0.03) mm vs extremely high level group 0.83 (0.09) mm; H=8.107, P=0.044], the proportion of carotid artery vascular wall thickening [low level group 52.9%(54/102) vs medium level group 48.0%(49/102) vs high level group 68.3%(69/101) vs extremely high level group 60.8%(62/102); χ2=9.889, P=0.020], the carotid artery plaque property score [low level group 1 (2) vs medium level group 2 (2) vs high level group 2 (2) vs extremely high level group 2 (2); H=8.913, P=0.030] and the proportion of anterior cerebral artery stenosis [low level group 2.9%(3/102) vs medium level group 2.0%(2/102) vs high level group 4.0%(4/101) vs extremely high level group 10.8%(11/102); χ2=10.473, P=0.014] had inter group differences among the 4 groups, and the differences were statistically significant. Univariate Logistic regression analysis indicated that carotid artery vascular wall thickening ( OR=1.197, 95% CI 1.003-1.429, P=0.046), anterior cerebral artery stenosis ( OR=1.814, 95% CI 1.148-2.867, P=0.011), and basilar artery stenosis ( OR=1.530, 95% CI 1.084-2.159, P=0.015) were correlated with IGF-1 levels. Multivariate Logistic regression analysis revealed that after adjusting for age, gender, low-density lipoprotein cholesterol (LDL-C), and C-reactive protein, IGF-1 was positively correlated with the carotid artery vascular wall thickening ( OR=1.311, 95% CI 1.014-1.696, P=0.039); after adjusting for age, IGF-1 was positively correlated with the anterior cerebral artery stenosis ( OR=2.130, 95% CI 1.201-3.776, P=0.010); after adjusting for gender, low-density lipoprotein cholesterol, and cholesterol levels, IGF-1 was positively correlated with basilar artery stenosis ( OR=1.688, 95% CI 1.063-2.681, P=0.027). Conclusions:There is an association between IGF-1 levels and intracranial and extracranial atherosclerosis in patients with CSVD. IGF-1 may play a role in the development and progression of atherosclerosis in CSVD.