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ObjectiveTo investigate the influencing factors for overt hepatic encephalopathy （OHE） in patients with hepatitis B cirrhosis after transjugular intrahepatic portosystemic shunt （TIPS）， and to construct an individualized risk prediction model. MethodsA total of 302 patients with hepatitis B cirrhosis who underwent TIPS in Department of Gastroenterology， The General Hospital of Western Theater Command， from January 2017 to December 2021 were enrolled， and according to the presence or absence of OHE after surgery， they were divided into non-OHE group with 237 patients and OHE group with 65 patients. The two groups were compared in terms of general data， laboratory markers， Child-Turcotte-Pugh （CTP） score， MELD combined with serum sodium concentration （MELD-Na） score， and albumin-bilirubin （ALBI） score before surgery. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The univariate and multivariate logistic regression analyses were used to identify the influencing factors for OHE after TIPS in patients with hepatitis B cirrhosis， and independent influencing factors were used to construct a nomogram model. The receiver operating characteristic （ROC） curve analysis and the calibration curve analysis were used to evaluate the discriminatory ability and calibration of the model， and the decision curve analysis and the clinical impact curve （CIC） were used to evaluate the clinical effectiveness of the model . ResultsAge （odds ratio ［OR］=1.035， 95% confidence interval ［CI］： 1.004 — 1.066， P<0.05）， white blood cell count （WBC）/platelet count （PLT） ratio （OR=33.725， 95%CI： 1.220 — 932.377， P<0.05）， international normalized ratio （INR） （OR=5.149， 95%CI： 1.052 — 25.207， P<0.05）， and pre-albumin （PAB） （OR=0.992， 95%CI： 0.983 — 1.000， P<0.05） were independent predictive factors for OHE after TIPS in patients with hepatitis B cirrhosis. The nomogram model constructed based on age， WBC/PLT ratio， INR， and PAB had an area under the ROC curve of 0.716 （95%CI： 0.649 — 0.781）， with a sensitivity of 78.5% and a specificity of 56.1%. ConclusionThe nomogram model constructed based on age， WBC/PLT ratio， INR， and PAB can help to predict the risk of OHE after TIPS in patients with hepatitis B cirrhosis.
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Objective:To investigate the correlation between the imaging markers of cerebral small vessel disease (CSVD) and early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH).Methods:Patients with sICH admitted to the Department of Neurology, the Affiliated Hospital of Qingdao University between January 1, 2015 and December 31, 2019 were enrolled retrospectively. All patients received noncontrast CT (NCCT) within 6 h after onset. Within 24 h after the initial NCCT examination, they were reexamed to determine whether HE occurred, and brain MRI examination was completed within 48 h after onset. HE was defined as the increase of hematoma volume on NCCT reexamination by >33% or >6 ml compared with the baseline. NCCT was used to evaluate the abnormal morphology and density signs, including blend sign, swirl sign, black hole sign, island sign, and satellite sign. MRI was used to evaluate CSVD imaging markers, including lacunar infarcts (LIs), enlarged perivascular space (EPVS), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and cortical superficial siderosis (CSS). Multivariate logistic regression analysis was used to determine independent risk factors for HE. The receiver operator characteristic (ROC) curve was used to evaluate the predictive ability of imaging markers for HE in patients with sICH. Results:A total of 216 patients with sICH were included. Their age was 57±15 years, 113 (61.6%) were male, 88 (40.7%) had HE, 123 (56.9%) had NCCT signs, 122 (56.5%) had CMBs, 143 (66.2%) had WMHs, 44 (20.4%) had CSS, 25 (11.6%) had LIs, and 31 (14.4%) had EPVS. The baseline hematoma volume, blood calcium, the modified Rankin Scale score and the National Institutes of Health Stroke Scale score at admission, and detection rates of NCCT signs, CMBs, WMHs and CSS in the HE group were significantly higher than those in the non-HE group (all P<0.05). Multivariate logistic regression analysis showed that the blood calcium (odds ratio [ OR] 0.040, 95% confidence interval [ CI] 0.004-0.238; P=0.001), any NCCT signs ( OR 3.275, 95% CI 1.492-7.188; P=0.003), CMBs grade 4 ( OR 3.591, 95% CI 1.146-11.250; P=0.028), CSS ( OR 3.008, 95% CI 1.214-7.452; P=0.017), NCCT signs+ CMBs grade 3 ( OR 3.390, 95% CI 1.035-11.102; P=0.044), NCCT signs+ CMBs grade 4 ( OR 5.473, 95% CI 1.352-22.161; P=0.017), and NCCT signs+ CSS ( OR 3.544, 95% CI 1.215-10.336; P=0.021) were the independent risk factors for HE in patients with sICH. ROC curve analysis showed that the sensitivity of NCCT signs, CMBs and CSS for predicting HE were 81.8%, 64.8% and 34.1%, respectively, and the specificity were 60.2%, 60.9% and 89.1%, respectively. The predictive sensitivity of NCCT signs+ CMBs and NCCT signs+ CSS (59.1% and 30.7%, respectively) was lower than that of single imaging marker, while the specificity (78.1% and 93.7%, respectively) was higher than that of single imaging marker. Conclusions:The imaging markers of CSVD are closely associated with the risk of HE in patients with sICH. Severe CMBs and CSS are the independent risk factors for HE in patients with sICH. The specificity of NCCT signs combined with CSVD imaging markers for predicting HE is increased but the sensitivity decreased.