Objective To identify the independent risk factors of cognitive impairment(CI)in patients with cerebral small vessel disease(CSVD)and construct a clinical prediction model.Methods Patients with CSVD who were hospitalized in the First Affiliated Hospital of Xi'an Jiaotong University from January 1,2017 to December 31,2022 were retrospectively enrolled,and were divided into a group with cognitive impairment(CSVD-CI group,n=83)and a group without cognitive impairment(CSVD-NCI group,n=164)according to the mini-mental state examination(MMSE).The influence factors of cognitive impairment were screened by logistic regression.The clinical prediction model of the nomogram was further developed based on the screened factors,and the efficacy of the model was tested.Results Compared with patients in the CSVD-NCI group,patients in the CSVD-CI group had higher neutrophil/lymphocyte ratio(NLR)(3.03±2.56 vs 2.33±1.34)and(1.58±0.27 vs 1.49±0.28),and a lower estimated glomerular filtration rate[eGFR:88.59±16.59 ml/(min·1.73m2)vs 94.02±12.45 ml/(min·1.73m2)],with significant differences(t=2.282,2.426,2.689,all P＜0.05).Compared with patients in the CSVD-NCI group,patients in the CSVD-CI group had lower proportion of males(43.4％vs 67.7％)and level of education(2.13±1.50 vs 2.86),and the differences were significant(x2=13.516,t=4.283,all P＜0.05).NLR(OR:1.20,95％CI:1.01～1.43),sex(OR:0.43,95％CI:0.24～0.79),eGFR(OR:0.97,95％CI:0.95～0.99)and education degree(OR:0.72,95％CI:0.57～0.91)were the impact factors for cognitive impairment in CSVD patients.The nomogram prediction model based on these four factors had good efficacy in predicting cognitive impairment(AUC=0.704,95％CI:0.633～0.766).Conclusion The nomogram constructed in this study has moderate accuracy and clinical utility in predicting the occurrence of cognitive impairment in CSVD patients.

Objective:This study aims to establish an early warning diagnosis model for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and to provide a simple, rapid, and accurate auxiliary diagnosis basis for clinical practice.Methods:The sample bank of subjects (patients admitted to the Eighth Medical Center of the PLA General Hospital from September 10, 2021, to July 25, 2023) was constructed, including the model establishment cohort [SCOPD group 49, 42 males and 7 females, (69.71±11.16) years old; AECOPD group 53, 49 males and 4 females, (72.60±10.19) years old] and the model validation cohort [SCOPD group 35, 28 males and 7 females, (69.97±10.40) years old; AECOPD group 35, 33 males and 2 females, (71.43±9.67) years old]. Fasting peripheral blood samples were collected, and the expression levels of IL-5, IL-17A, and IFN-α were detected by flow cytometry. Different expression levels were analyzed by Mann-Whitney U test. Binary logistic regression analysis was used to screen the related risk factors of COPD patients in acute exacerbation. The diagnostic efficacy of the model was evaluated by the receiver operating characteristic (ROC) curve.Results:The levels of IL-5 [1.64 (0.60, 2.86) pg/ml], IL-17A [1.42 (0.88, 2.29) pg/ml], and IFN-α [0.91 (0.59, 1.81) pg/ml] in the SCOPD group were significantly decreased compared with the AECOPD group IL-5 [4.68 (2.34, 9.40) pg/ml, Z=-5.033, P<0.001], IL-17A [2.33 (1.59, 4.62) pg/ml, Z=-3.919, P<0.001], IFN-α [2.83 (0.91, 3.75) pg/ml, Z=-4.127, P<0.01] in the cohort of model establishment. The results of binary logistic regression analysis between SCOPD and AECOPD groups showed that IL-5, IL-17A, and IFN-α were independent risk factors for acute exacerbation of patients with COPD ( P<0.05). And the regression equation is Y=-2.861+0.364×IL-5+0.385×IL-17A+0.445×IFN-α. The AUC value of IL-5, IL-17A, IFN-α and combined detection was 0.866 ( P<0.001). Compared to the SCOPD group and the AECOPD group in the cohort of model validation, the receiver operating characteristic (ROC) curve showed that the combined model of three (AUC=0.858, P<0.001) could be used to diagnose the AECOPD. And the Kappa value was 0.773( P<0.05). Conclusion:The combined detection of IL-5, IL-17A, and IFN-α has high diagnostic efficacy for patients with acute exacerbation of COPD. This method provides a new potential tool for the clinical diagnosis of AECOPD and has the value of further exploration and optimization, promotion, and application.

Objective:To analyze the results of lymphocyte subsets and 12 plasma cytokines in patients with tuberculosis by flow cytometry and to evaluate their diagnostic efficacy in these patients.Methods:This is a retrospective case-control study. A total of 128 patients with evidence of tuberculosis disease or clinically confirmed tuberculosis who were admitted to the 8th Medical Center of PLA General Hospital from January 2022 to December 2023 were included. According to the location of mycobacterium tuberculosis infection, the patients were divided into the pulmonary tuberculosis group (83 cases) and the extrapulmonary tuberculosis group (45 cases), and 100 healthy age-and sex matched people who underwent health check up during the study period were selected as the control group. Flow cytometry was used to detect peripheral blood lymphocyte subsets and 12 plasma cytokines [including 10 pro-inflammatory factors: interleukin (IL)-5, interferon (IFN)-α, IL-2, IL-6, IL-1β, IFN-γ, IL-8, IL-17, IL-12P70, Tumor necrosis factor (TNF)-α, and two anti-inflammatory factors: IL-4, IL-10] in participants of all groups. Spearman correlation method was used to analyze the correlation between lymphocyte subsets and cytokines, binary Logistic regression was used to screen the TB related factors, and receiver operating curve (ROC) was used to evaluate the diagnostic efficacy of TB related factors.Results:Compared with the control group, the absolute number of CD3 +T lymphocytes, CD3 +CD8 +T lymphocytes, CD3 +CD4 +T lymphocytes, NK cells and B cells were lower in pulmonary tuberculosis group and extrapulmonary tuberculosis group (all P<0.05). Except for IL-1β, the levels of other 11 cytokines are all significantly higher in the pulmonary tuberculosis group (all P<0.01), and the levels of IL-6, IFN-γ, IL-17, TNF-α, IL-4 and IL-10 were significantly higher in extrapulmonary tuberculosis group (all P<0.05). Compared with extrapulmonary tuberculosis group, the level of IL-8 was higher in pulmonary tuberculosis group ( P=0.026). Spearman correlation analysis showed that IL-6, IFN-γ and IL-8 were negatively correlated with the absolute numbers of CD3 +T lymphocytes, CD3 +CD8 +T lymphocytes, CD3 +CD4 +T lymphocytes, NK cells and B cells (IL-6: R2=-0.30, -0.28, -0.32, -0.26, -0.28; IFN-γ: R2=-0.36, -0.31, -0.37, -0.25, -0.36; IL-8: R2=-0.14, -0.13, -0.16, -0.14, -0.22; all P<0.05), IL-10 was negatively correlated with the absolute number of CD3 +CD4 +T lymphocytes, NK cells and B cells ( R 2=-0.14, -0.19, -0.21, all P<0.05); Binary Logistic regression analysis showed that IL-6, IFN-γ, IL-8 and IL-10 were the related factors of tuberculosis ( OR=1.809, 1.136, 0.910, 2.218, all P<0.05), ROC curve analysis showed that the AUC of IL-6, IFN-γ, IL-8 and IL-10 in the joint diagnosis of tuberculosis was 0.845, the sensitivity was 0.766, and the specificity was 0.820. Conclusion:The lower absolute number of lymphocyte subsets and cytokine levels in patients with pulmonary tuberculosis and extrapulmonary tuberculosis indicate that their immune function is in a low state, and the higher levels of pro-inflammatory factors (IL-6, IFN-γ, IL-8) and anti-inflammatory factor (IL-10) indicates the higher inflammatory status, and evaluation of these 4 cytokines has satisfactory diagnostic efficacy for tuberculosis.