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find Author "Liu Yi" 3 results
  • Misunderstandings and controversies in the diagnosis and treatment of optic nerve sheath meningioma

    Optic nerve sheath meningiomas (ONSM) account for about 1%-2% of all meningiomas. Most of them are benign and the disease progresses slowly. ONSM is a relatively rare intraorbital benign tumor in clinical practice. Due to its close relationship with the optic nerve, the diagnosis and treatment are special, so there are many controversies and misunderstandings in the diagnosis and treatment of ONSM. ONSM is often misdiagnosed as acute optic nerve papillitis, optic nerve atrophy, ischemic optic neuropathy, acute retrobolic optic neuritis, optic disc vasculitis or optic fatigue due to its similar clinical features to other optic nerve diseases such as optic neuritis. The treatment includes observation, surgical treatment and radiotherapy, and appropriate treatment should be selected for different patients according to the changes of their condition. Therefore, understanding of the controversies and misunderstandings in the diagnosis and treatment of ONSM is of great clinical significance for timely and accurate diagnosis, appropriate treatment and improvement of the prognosis of patients.

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  • Analysis of cytokines in patients with optic neuritis associated with neuromyelitis optic spectrum disorder before and after glucocorticoid pulse therapy

    ObjectiveTo observe the changes of serum cytokines in patients with neuromyelitis optic neuromyelitis optic spectrum disorder (NMOSD) associated optic neuritis (NMOSD-ON) before and after intravenous methylprednisolone pulse (IVMP) treatment. MethodsA prospective clinical study. From November 2020 to December 2021, 24 NMOSD-ON patients who visited the Neuro-Ophthalmology Clinic of Beijing Tongren Hospital Affiliated to Capital Medical University were included. Among them, 9 patients were male; 15 patients were female. According to the detection results of aquaporin 4 (AQP4) immunoglobulin G (IgG) antibody (AQP4-IgG) in peripheral blood, the patients were divided into AQP4-lgG positive group and AQP4-lgG negative group, which were 10 and 14 cases respectively. Twenty healthy volunteers were selected as control group. Age (F=0.639) and sex (χ2=2.373) composition ratio of the three groups were compared, the difference were not statistically significant (P=0.504, 0.333). All patients were treated with 500 mg/d or 1 000 mg/d IVMP. Peripheral venous blood of all subjects, and quantitatively analyze interferon-gamma (IFN-γ), interleukin (IL)- 4, IL-31, IL-33, IL-17A, IL-6, IL-21, IL-23, IL-10, tumor necrosis factor (TNF)-α level in serum with Luminex FLEX MAP 3D liquid-phase suspension chip detection system were collected. The differences among groups were analyzed by one-way ANOVA and Kruskal Wallis H test. ResultsBefore IVMP treatment, serum IL-17A concentrations in AQP4-lgG positive group, AQP4-lgG negative group and control group were 2.39, 2.17 and 1.97 pg/ml, respectively. TNF-α concentrations were 5.60, 4.17 and 5.89 pg/ml, respectively. Compared with control group, serum IL-17A concentration in AQP4-IgG positive group was increased, while TNF-α concentration in AQP4-IgG negative group was decreased, with statistical significance (H=12.720, 10.900; P=0.040, 0.039). The levels of IL-17A, IL-6 and other cytokines did not change significantly. After IVMP treatment, serum IL-6 in AQP4-lgG positive group and AQP4-lgG negative group were 0.72 pg/ml and 0.73 pg/ml, respectively. TNF-α concentrations were 4.17 pg/ml and 3.88 pg/ml, respectively. IFN-γ concentrations were 2.15 pg/ml and 2.55 pg/ml, respectively. Compared with before treatment, serum levels of IL-6, TNF-α and IFN-γ in AQP4-lgG positive patients were significantly decreased, with statistical significance (Z=-2.668, -2.547, -2.201; P=0.008, 0.011, 0.028). Serum levels of IL-6 and TNF-α were significantly decreased in AQP4-lgG negative patients, and the difference was statistically significant (Z=-2.501, -1.978; P=0.012, 0.048). ConclusionGlucocorticoid may play a therapeutic role by affecting the levels of serum IL-6, TNF-α, IFN-γ in patients with NMOSD-ON.

    Release date:2023-01-12 09:10 Export PDF Favorites Scan
  • The establishment and preliminary verification of a risk model for the prediction of diabetic retinopathy in patients with type 2 diabetes

    ObjectiveTo establish an appropriate diabetic retinopathy (DR) risk assessment model for patients with type 2 diabetes mellitus (T2DM).MethodsA retrospective clinical analysis. From January 2016 to December 2017, 753 T2DM patients in the Third Affiliated Hospital of Southern Medical University were analyzed retrospectively. Digital fundus photography was taken in all patients. Fasting plasma glucose (FPG), HbA1c, total bilirubin (TB), blood platelet, total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-c), low density lipoprotein cholesterol (LDL-c), apolipoprotein-A (apoA), apolipoprotein-B (apoB), serum creatinine, blood urea nitrogen (BUN), blood uric acid, fibrinogen (Fg), estimated glomerular filtration (eGFR) were collected. The patients were randomly assigned to model group and testify group, each had 702 patients and 51 patients respectively. Logistic regression was used to screen risk factors of DR and develop an assessment scale that can be used to predict DR. Goodness of fit was examined using the Hosmer-Lemeshow test and the area under the receiver operating characteristic (ROC) curve.ResultsAmong 702 patients in the model group, 483 patients were DR, 219 patients were NDR. The scores for DR risk were duration of diabetes ≥4.5 years, 4 points; total bilirubin <6.65 mol/L, 2 points; apoA≥1.18 g/L, 2 points; blood urea≥6.46 mmol/L, 1 points; HbA1c ≥7.75%, 2 points; HDL-c<1.38 mmol/L, 2 points; diabetic nephropathy, 3 points; fibrinogen, 1 point. The area under the receiver operating characteristic curve was 0.787. The logistic regression analysis showed that the risk factors independently associated with DR were duration of diabetes (β=1.272, OR=3.569, 95%CI 2.283−5.578, P<0.001), TB (β=0.744, OR=2.104, 95%CI 1.404−3.152, P<0.001, BUN (β=0.401, OR=1.494, 95%CI 0.996−2.240, P=0.052), HbA1c (β=0.545, OR=1.724, 95%CI 1.165−2.55, P=0.006), HDL-c (β=0.666, OR=1.986, 95%CI 1.149−3.298, P=0.013), diabetic nephropathy (β=1.151, OR=3.162, 95%CI 2.080−4.806, P=0.013), Fg (β=0.333, OR=1.396, 95%CI 0.945−2.061, P=0.094). The risk model was P=1/[1+exp−(−3.799+1.272X1+0.744X2+0.769X3+0.401X4+0.545X5+0.666X6+1.151X7+0.333X8)]. X1= duration of diabetes, X2=TB, X3=apoA, X4=BUN, X5=HbA1c, X6=HDL-c, X7=diabetic nephropathy, X8=Fg. The area under the ROC curve was 0.787 and the Hosmer-Lemeshow test suggested excellent agreement (χ2=10.125, df=8, P=0.256) in model group. The area under the ROC curve was 0.869 and the Hosmer-Lemeshow test suggested excellent agreement (χ2=5.345, df=7, P=0.618) in model group.ConclusionThe area under the ROC curve for DR was 0.787. The duration of diabetes, TB, BUN, HbA1c, HDL-c, diabetic nephropathy, apoA, Fg are the risk factors of DR in T2DM patients.

    Release date:2019-03-18 02:49 Export PDF Favorites Scan
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