Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective To compare the safety of cluster immunotherapy versus conventional immunotherapy for cat dander-induced rhinitis,with or without asthma,and to explore the main influencing factors for the occurrence of adverse reactions.Methods Patients with cat dander-induced rhinitis with or without asthma were recruited.Patients were divided into cluster immunotherapy group(cluster group)and conventional immunotherapy group(conventional group).The incidence of adverse reactions in both groups was compared based on individual patients and the number of injections(dose escalation phase),and influencing factors for the occurrence of adverse reactions were analyzed based on the patients' baseline information prior to treatment.Results A total of 78 patients were enrolled,with 45 in the cluster group and 33 in the conventional group.There was no statistically significant difference in the per-patient incidence of local(P=0.648)and systemic(P=1.000)adverse reactions between the two groups.The size of local reactions(P=0.321)also showed no significant difference.When the number of injections was considered during the dose escalation phase,no significant difference was observed in the per-shot incidence of local(P=0.705)and systemic adverse reactions(P=0.237)between the two groups.Pre-treatment levels of T-IgE(OR=1.001,95％CI:1.000-1.003,P=0.032),sIgE/T-IgE(％)(OR=1.079,95％CI:1.003-1.161,P=0.042),medication score(OR=1.338,95％CI:1.055-1.696,P=0.016),and symptom and medication score(OR=1.217,95％CI:1.028-1.440,P=0.022)were independent risk factors for the occurrence of local adverse reactions.Asthma patients had a 16.393-fold higher risk of systemic adverse reactions compared to non-asthma patients(OR=16.393,95％CI:1.076-249.752,P=0.044).Conclusion There were no significant differences in the per-patient or per-shot incidence of local or systemic adverse reactions between the cluster group and conventional group.Higher pre-treatment levels of T-IgE,sIgE/T-IgE,medication score,and symptom and medication score should alert clinicians to the risk of local adverse reactions,while asthma patients should be mo-nitored for the potential occurrence of systemic adverse reactions.

Objective To analyze the sensitization spectrum of common inhaled allergens for respiratory allergic diseases in Mento-ugou district of Beijing,and explore the safety of domestic intradermal test reagents.Methods A total of 19 kinds of inhaled allergen re-agents were used to conduct intradermal test in patients with suspected or definite respiratory allergic diseases(bronchial asthma or allergic rhinitis with bronchial asthma)who visited Department of Respiratory and Critical Care Medicine,Beijing Jingmei Group General Hospital from January 2018 to October 2021.The trends of age,gender and distribution of allergens were compared,and the safety of domestic in-tradermal test reagents were observed.Results A total of 4775 patients were conducted,the positive rate of intradermal test was 52％(2483/4775);the top 5 inhaled allergen positive rates were indoor dust with 29.78％(1422/4775),summer and autumn pollen Ⅰ with 28.06％(1340/4775),dust mite with 23.54％(1124/4775),kochia scoparia with 20.52％(980/4775),spring pollen Ⅱ with 18.03％(861/4775).The positive rate of intradermal test decreased with the increase of age.Patients with respiratory allergic diseases often combined a variety of substances allergy.Before and after CO VID-19 infection,the positive rate of allergens decreased significantly after scientific protection.Adverse effect was observed in 7 patients,the severity of the adverse reaction was all level Ⅰ.Conclusion The inhaled allergens are mainly dust,pollen and dust mite.The main allergens have not changed significantly from 2018 to 2021.Scien-tific protection can effectively reduce the incidence of allergic diseases.Domestic intradermal reagents has high safety and can serve the clinic well.

Objective:To explore the application value of real-time virtual sonography (RVS) combined with intraductal biliary contrast-enhanced ultrasound (IB-CEUS) in percutaneous transhepatic cholangial drainage (PTCD).Methods:This retrospective cohort study included data from 71 patients who underwent PTCD at the Department of Hepatobiliary and Pancreatic Surgery in the Second Affiliated Hospital of Nanchang University between May 2021 and August 2022. There were 36 male and 35 female patients,aged 35 to 94 years. Based on the guidance modality used,patients were divided into two groups: the RVS combined with IB-CEUS group ( n=36) and the digital subtraction angiography (DSA) group ( n=35). PTCD was performed under the guidance of RVS combined with IB-CEUS in the RVS+IB-CEUS group,and under conventional DSA fluoroscopic guidance in the DSA group. Two clinicians classified the biliary conditions as either simple or complex based on preoperative ultrasound and CT (or MRI) imaging. Statistical analyses were conducted using independent sample t-tests,rank-sum tests, χ2 tests,or Fisher′s exact tests,as appropriate. Results:Significant differences were observed between the RVS+IB-CEUS group and the DSA group in terms of the number of punctures (1.0±0.2 vs. 2.2±1.4, t=-5.148, P<0.01) and postoperative complication rate(2.8% (1/35) vs. 17.1% (6/36), P=0.049). There were 9 patients with complex biliary conditions in the DSA group and 12 in the RVS+IB-CEUS group. The number of punctures in both the simple and complex subgroups of the RVS+IB-CEUS group(1.0±0.2 and 1.0±0.0) remained lower than that in the corresponding DSA subgroups(2.2±1.6 and 2.4±0.4) ( t=-3.606, P<0.01; t=-3.959, P=0.002). Moreover,the complication rate in the simple biliary subgroup of the RVS+IB-CEUS group was significantly lower than that of the DSA group(0 (0/24) vs. 19.2% (5/26), P=0.031),whereas no significant difference was found in the complex biliary subgroup (1/12 vs. 1/9, P=0.686). Conclusion:Guided by RVS and IB-CEUS, PTCD can help reduce the number of punctures during surgery and postoperative complications, and patients with complex bile duct conditions can still benefit from PTCD.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective: To analyze characteristics of iron-deficient blood donors, implement targeted interventions, and evaluate their effectiveness, thereby providing a reference for formulating blood donor recruitment and care strategies. Methods: Based on serum ferritin (SF) test results, the apheresis platelet donors were divided into the low SF group (n=90; 45 males and 45 females) and the normal SF group (n=651; 510 males and 141 females). The results of related indicators of the two groups were compared and analyzed. Interventions for the low SF group included extending the blood donation interval to at least 45 days (group A) and oral iron supplementation combined with the extended donation interval implemented in group A (group B). Pre-intervention and post-intervention SF results were compared. Results: For both male and female donors, serum iron levels were significantly lower in the low SF group than those of the normal SF group, while the levels of transferrin, unsaturated iron binding capacity (UIBC) and total iron binding capacity (TIBC) were higher in the low SF group compared to the normal SF group. Some indicators related to red blood cells showed changes, with more evident alterations in females than in males. Twenty-eight donors in group A and 39 donors in group B completed the study after intervention. SF value in group A was (18.32±8.09) μg/L at baseline and (26.21±17.30) μg/L after intervention. Similarly, SF value in group B was (15.87±7.69) μg/L at baseline and (26.24±15.55) μg/L after intervention. In both groups, SF values after intervention were significantly higher than baseline values. However, the magnitude of change did not significantly differ between groups A and B. Conclusion: Other related indicators in blood donors with low ferritin have also experienced some changes, suggesting that some blood donors may have entered the stage of iron-deficient erythropoiesis. Extending blood donation interval facilitates the recovery of iron storage in low-ferritin apheresis platelet donors. Blood stations should develop care strategies for apheresis platelet donors, including, at a minimum, the prolonged blood donation interval for donors with low ferritin.

Objective : To explore the risk factors of prognosis in patients with severe community-acquired pneumonia(SCAP) in different age groups. Methods : A multi-center and prospective study was conducted at 11 teaching hospitals in China from December 2017 to October 2021. Patients who met the criteria were assigned to the elderly group(≥65 years) and the non-elderly group(18-64 years) to demonstrate the clinical characteristics of SCAP. Patients were divided into survival group and death group according to whether they died in hospital, to determine the risk factors associated with mortality by multivariate logistic regression analysis. Results: A total of 170 patients with SCAP were included in the study. The age of SCAP was 20-93(65.75±15.23) years old, and the proportion of SCAP in the elderly was 58.82%(100/170). In-hospital mortality of non-elderly SCAP was 24.3%(17/70), and the in-hospital mortality of elderly SCAP was 28%(28/100). Compared with non-elderly group, patients in elderly group had higher severity score and more complications on admission, but the symptoms of fever and respiratory rate at admission were less obvious. In multivariable logistic regression analysis, the factors significantly associated with in-hospital mortality of non-elderly SCAP were pneumonia severity index(PSI) score(P=0.016,OR=1.022, 95%CI1.004-1.041) and invasive mechanical ventilation(P=0.037,OR=4.543, 95%CI1.092-18.898) on admission, and the risk factors associated with in-hospital mortality in elderly SCAP were sequential organ failure assessment(SOFA) score(P=0.006,OR=1.240, 95%CI1.063-1.446) and combined with coronary artery disease on admission(P=0.037,OR=2.834, 95%CI1.066-7.534). Conclusion In-hospital mortality for SCAP is high. PSI score and invasive mechanical ventilation are risk factors for in-hospital mortality of non-elderly patients with SCAP, and SOFA score and combined with coronary artery disease on admission are risk factors for in-hospital mortality of elderly patients with SCAP.