Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Natural human leukocyte antigen (HLA) antibodies refer to preformed antibodies present in the body that are not induced by prior exposure to allogeneic HLA antigens. In healthy individuals without a sensitization history, the detection rate of natural HLA antibodies is approximately 20%-29% when using screening assays with low sensitivity, and can reach up to 63% when more sensitive HLA-specific detection methods are employed. It is therefore inferred that natural HLA antibodies may also be present in transplant candidates with a similar prevalence. This review comprehensively discusses the potential mechanisms of natural HLA antibody generation, the characteristics of the recognized epitopes, detection techniques, clinical relevance in transplantation, their potential to confound therapeutic decisions, and approaches to distinguish and mitigate their impact. The goal is to raise clinician awareness of the objective existence of natural HLA antibodies, provide guidance on evaluating their association with allograft rejection, and inform appropriate clinical management strategies when encountering natural HLA antibody-positive transplant candidates.

Natural human leukocyte antigen (HLA) antibodies refer to preformed antibodies present in the body that are not induced by prior exposure to allogeneic HLA antigens. In healthy individuals without a sensitization history, the detection rate of natural HLA antibodies is approximately 20%-29% when using screening assays with low sensitivity, and can reach up to 63% when more sensitive HLA-specific detection methods are employed. It is therefore inferred that natural HLA antibodies may also be present in transplant candidates with a similar prevalence. This review comprehensively discusses the potential mechanisms of natural HLA antibody generation, the characteristics of the recognized epitopes, detection techniques, clinical relevance in transplantation, their potential to confound therapeutic decisions, and approaches to distinguish and mitigate their impact. The goal is to raise clinician awareness of the objective existence of natural HLA antibodies, provide guidance on evaluating their association with allograft rejection, and inform appropriate clinical management strategies when encountering natural HLA antibody-positive transplant candidates.

Interleukin-35(IL-35)is an important immunosuppressive cytokine that has been shown to play a role in the immune response of various diseases.In this study,we cloned the coding sequence of human IL-35 gene,constructed single subunit expression vectors pXC17.4-p35 and pcDNA3.1(+)-EBI3,and co-transfected CHO-K1 cells to express IL-35 in vitro.No binding was found between subunits of p35 and EBI3.Knobs-into-Holes(KIH)can solve the problem of heavy chain mismatch of heterolo-gous antibodies.Therefore,expression vectors pXC17.4-p35-Fch and pcDNA3.1(+)-EBI3-Fck were constructed by fusing KIH structures on the basis of the original sequences to express the recombinant fu-sion protein of KIH-IL-35.The expression vectors of two subunits were exchanged at the same time to verify the influence of different vectors on the expression level of KIH-IL-35.The analysis of various pro-tein detection methods showed that the correct expression rate of KIH-IL-35 structure was significantly im-proved.Affinity purification of KIH-IL-35 was performed after large amount of expression,and the bind-ing activity of KIH-IL-35 to glycoprotein 130(gp130)was detected by ELISA.The results showed that the binding of KIH-IL-35 to gp130 was concentration dependent.The indirect activity of KIH-IL-35 and M1 cells was detected by cell activity assay.Further results showed that the inhibition rate of M1 cells in-creased in a dose-dependent manner with the concentration of KIH-IL-35.In addition,a method for de-termining IL-35 activity by activated human peripheral blood mononuclear cells was successfully estab-lished.Activated PBMCs increased in a dose-dependent manner with KIH-IL-35 concentration.In sum-mary,this study utilized the KIH-IL-35 model to enhance the expression of recombinant human IL-35 and validated its high activity in vitro,providing new ideas for the study of IL-35 and the recombinant expres-sion of similar heterodimeric cytokines.

Objective To investigate the association between the serum creatinine/cystatin C ratio(SCr/Cys C)as a Sarcopenia index(SI)and the incidence of in-hospital adverse events in patients with acute myocardial infarction(AMI)undergoing emergency percutaneous coronary intervention(PCI).Additionally,we evaluate the predictive efficacy of the SI in predicting major adverse cardiovascular events(MACEs)during hospitalization.Methods A total of 306 patients with AMI who underwent emergency PCI in the 904th Hospital of PLA Joint Logistics Support Force from January 2020 to March 2023 were consecutively included in this retrospective analysis.Patients were divided into two groups based on the occurrence of MACEs during hospitalization:MACEs group(n=43)and non-MACEs group(n=263).Clinical characteristics and pre-PCI laboratory test results were collected.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for MACEs.The predictive performance of SI was assessed using receiver operating characteristic(ROC)curve analysis.Results The incidence of in-hospital MACEs in AMI patients was 14.1%.The results of the independent samples t-test showed that the SI level in MACEs group was significantly lower than that in non-MACEs group,with a statistically significant difference(P<0.001).The results of the multivariate logistic regression analysis suggested that new-onset atrial fibrillation,Killip class 2-4,SI,and TG were independent risk factors for in-hospital adverse events after emergency PCI.The ROC curve results showed that the predictive value of SI(AUC=0.741,95%CI 0.666-0.816)using the SCr/Cys C ratio was superior to that of single Cys C(AUC=0.658,95%CI 0.570-0.746)for predicting post-PCI MACEs,with a statistically significant difference(P<0.05),and the optimal cutoff value for SI was 78.14.After stratifying SI based on the cutoff value,the results of the independent samples t-test showed that compared to the higher SI group,the lower SI group had a higher occurrence of specific adverse events such as heart failure(P<0.001),malignant arrhythmias(P=0.009),and strokes(P=0.003),with statistically significant differences.Conclusions The results highlight SI as an independent risk factor for MACEs during hospitalization after emergency PCI in AMI patients.Furthermore,SI has proven to be an effective prognostic index for patient outcomes.

OBJECTIVE: Clinical characteristics and outcome in COVID-19 with brucellosis patients has not been well demonstrated, we tried to analyze clinical outcome in local and literature COVID-19 cases with brucellosis before and after recovery. METHODS: We retrospectively collected hospitalization data of comorbid patients and prospectively followed up after discharge in Heilongjiang Infectious Disease Hospital from January 15, 2020 to April 29, 2022. Demographics, epidemiological, clinical symptoms, radiological and laboratory data, treatment medicines and outcomes, and follow up were analyzed, and findings of a systematic review were demonstrated. RESULTS: A total of four COVID-19 with brucellosis patients were included. One patient had active brucellosis before covid and 3 patients had nonactive brucellosis before brucellosis. The median age was 54.5 years, and all were males (100.0%). Two cases (50.0%) were moderate, and one was mild and asymptomatic, respectively. Three cases (75.0%) had at least one comorbidity (brucellosis excluded). All 4 patients were found in COVID-19 nucleic acid screening. Case C and D had only headache and fever on admission, respectively. Four cases were treated with Traditional Chinese medicine, western medicines for three cases, no adverse reaction occurred during hospitalization. All patients were cured and discharged. Moreover, one case (25.0%) had still active brucellosis without re-positive COVID-19, and other three cases (75.0%) have no symptoms of discomfort except one case fell fatigue and anxious during the follow-up period after recovery. Conducting the literature review, two similar cases have been reported in two case reports, and were both recovered, whereas, no data of follow up after recovery. CONCLUSION These cases indicate that COVID-19 patients with brucellosis had favorable outcome before and after recovery. More clinical studies should be conducted to confirm our findings.
Female ; Humans ; Male ; Middle Aged ; Brucellosis ; COVID-19 ; Retrospective Studies ; SARS-CoV-2 ; Treatment Outcome ; Case Reports as Topic

ObjectiveTo explore the effect of Ganshuang granule on liver fibrosis （S1 and S2） in chronic hepatitis B （CHB） with liver depression spleen deficiency and blood stasis syndrome. MethodA total of 100 patients were classified into the control group （50 in total with 4 lost and 2 rejected， 44 finally included） and observation group （50 in total with 5 lost and 2 rejected， 43 finally included） with the random number table method. Both groups were given oral entecavir tablets （0.5 mg/time， once a day， 12 months）， and oral glutathione tablets was applied depending on the conditions of patients. In addition， the control group took the analog drug of Ganshuang granule （3 g/time， 3 times/day， 12 months） and the observation group received Ganshuang granules （3 g/time， 3 times/day， 12 months）， followed by histological examination of the liver by puncture biopsy. The two groups were compared in terms of inflammatory activity grade and fibrosis stage， as well as liver stiffness measure （LSM）， liver function， hepatitis B virus （HBV） DNA， liver depression and spleen deficiency syndrome score， aspartate aminotransferase （AST）-to-platelet ratio index （APRI）， and fibrosis index based on the four factors （FIB-4）. ResultAfter treatment， liver fibrosis in the observation group was milder than that in the control group （P<0.05） and the inflammatory activity grade in the observation group was lower than that in the control group （P<0.05）. The effective rate in down-regulating inflammatory activity grade in the observation group was 77.78% as compared with the 45.83% in the control group （χ²=5.546， P<0.05）. The effective rate in decreasing the fibrosis stage in the observation group was 59.26%， which was higher than that （16.67%） in the control group （χ²=9.669， P<0.01）. The LSM and score of the liver stagnation and spleen deficiency syndrome in the observation group were lower than those in the control group at the 6th months and 12th months of treatment （P<0.05，P<0.01）. The levels of alanine aminotransferase （ALT）， AST， and alkaline phosphatase （ALP） in the observation group were lower than those in the control group （P<0.01）. The APRI and FIB-4 in the observation group were lower than those in the control group （P<0.01）. ConclusionThe Ganshuang granule combined with entecavir can alleviate inflammation and liver fibrosis， delay and reverse liver fibrosis， protect liver， and improve the traditional Chinese medicine syndrome of liver fibrosis （S1 and S2） in CHB， which is worth of clinical use and further research.

Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9％) were men. Among them, nearly two-thirds (62.5％) of the survivors were moderate, three (9.4％) were severe, and more than half (59.4％) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6％ at 3 months to 15.8％ at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1％) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

OBJECTIVE: To evaluate whether the efficacy of Getong Tongluo Capsule (, GTC, consisted of total flavone of Radix Puerariae) on improving patients' quality of life and lowering blood pressure are superior to the extract of Ginkgo biloba (EGB) for patients with convalescent-phase ischemic stroke and primary hypertension. METHODS: This randomized, positive-drug- and placebo-controlled, double-blind trial was conducted from September 2015 to October 2017. Totally 477 eligible patients from 18 hospitals in China were randomly assigned in a 2:1:1 ratio to the following interventions, twice a day for 12 weeks: (1) GTC 250 mg plus EGB-matching placebo 40 mg (237 cases, GTC group), (2) EGB 40 mg plus GTC-matching placebo 250 mg (120 cases, EGB group) or (3) GTC-matching placebo 250 mg plus EGB-matching placebo 40 mg (120 cases, placebo group). Moreover, all patients were orally administered aspirin enteric-coated tablets 100 mg, once a day for 12 weeks. The primary outcome was the Barthel Index (BI). The secondary outcomes included the control rate of blood pressure and National Institutes of Health Stroke Scale (NIHSS) scores. The incidence and severity of adverse events (AEs) were calculated and assessed. RESULTS: The BI relative independence rates, the clinical recovery rates of NIHSS, and the total effective rates of NIHSS in the GTC and EGB groups were significantly higher than the placebo group at 12 weeks after treatment (P<0.05), and no statistical significance was found between the GTC and EGB groups (P>0.05). The control rate of blood pressure in the GTC group was significantly higher than the EGB and placebo groups at 12, 18 and 24 weeks after treatment (P<0.01). There were no statistically significant differences in the incidences of AEs, adverse drug reactions, or serious AEs among the 3 groups (P>0.05). CONCLUSION GTC exhibited significant efficacy in improving patients' quality of life as well as neurological function and controlling hypertension. (Registration No. ChiCTR1800016667).