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Objective:To investigate the clinicopathological characteristics and prognosis of idiopathic membranous nephropathy (IMN) with or without C3 deposition.Methods:Clinical and pathological data of 576 patients with IMN diagnosed in Affiliated Hospital of Qingdao University from January 2017 to January 2021 were retrospectively analyzed. The patients were divided into C3 deposition group and non-C3 deposition group according to the immunofluorescence staining of C3. The clinical and pathological characteristics were compared between the two groups. Kaplan-Meier survival curve was used to compare the prognosis of the two groups.Results:A total of 576 IMN patients (male 364 (63.20%)) were enrolled, including 400 patients (69.44%) with C3 deposition and 176 patients (30.56%) without C3 deposition. Compared with the non-C3 deposition group, the levels of total blood cholesterol ( t=0.94, P=0.002) and the proportion of phospholipase A2 receptor ( χ2=9.99, P=0.002), IgG ( χ2=10.67, P=0.001), IgM ( χ2=7.00, P=0.008), IgA ( χ2=7.87, P=0.005) and C1q ( χ2=8.28, P=0.004) depositions in renal tissues was higher in C3 deposition group, while the levels of serum C3 ( t=2.87, P=0.004), albumin ( t=3.57, P<0.001) and IgG ( Z=3.55, P<0.001) were lower in C3 deposition group. There were no significant differences in other clinicopathological indicators between the two groups. The survival analysis was performed in 460 patients who were followed for>6 months, including 319 cases (69.35%) of C3 deposition and 141 cases (30.65%) of non-C3 deposition. The end point event was defined as an eGFR decline>30% or entry into end stage renal disease (ESRD). There was no statistically significant difference in treatment method between the two groups ( P>0.05). The median follow-up time was 22 (13,32) months, 327 (71.09%) patients achieved remission, and 22 patients had renal end-point events. Compared with the non-C3 deposition group, the proportion of urinary protein remission was lower ( χ2=10.85, P<0.05), the incidence of renal end-point events was higher ( χ2=5.05, P<0.05). Kaplan-Meier survival analysis showed that patients with C3 deposition had a lower cumulative remission rate (Log-rank χ2=6.68, P=0.010), and a lower cumulative renal survival than those without C3 deposition had ( χ2=5.42, P=0.020). Conclusions:Compared with patients without C3 deposition, IMN patients with C3 deposition have more severe clinical and pathological changes, lower renal cumulative remission rate, and are more likely to have poor prognosis.
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ObjectiveIn view of the standardization of clinical diagnosis and treatment of the acute abdomen and the inheritance of diagnosis and treatment experience of prestigious veteran traditional Chinese medicine（TCM） doctors， a diagnosis and treatment reasoning algorithm based on association rule mining under incomplete evidence（AMIE）+ random walk was proposed to provide information services and technical support for primary doctors by recommending personalized diagnosis and treatment plans based on medical records. MethodThe experience of diagnosis and treatment of acute abdomen of prestigious veteran TCM doctors and the text data of clinical diagnosis and treatment guidelines of integrated TCM and western medicine were collected to complete the task of knowledge extraction and construct acute abdomen knowledge graph based on Neo4j. On the basis of ontology-supported rule-based reasoning， the rule reasoning based on similar syndromes was used to expand the syndrome combinations whose Jaccard similarity was greater than the threshold in the syndrome recommendation results. The semantic path coverage algorithm was used to calculate the semantic similarity between the symptom nodes. The symptom nodes were divided into 10 categories， and the symptom nodes in the same category were extended. The random walk algorithm was used to search the symptom nodes connected with the syndrome， and the connection rules between the syndrome and symptom nodes were extended to realize the knowledge reasoning of AMIE+ random walk. ResultThe acute abdomen knowledge graph included 1 320 nodes and 2 464 relationships. According to the link prediction evaluation index of knowledge reasoning， the reasoning results of the three algorithms in the auxiliary diagnosis and treatment of acute abdomen were compared. The AMIE+ random walk algorithm complemented the knowledge graph by extending the similar syndrome connection rules and the syndrome-symptom connection rules. Compared with the knowledge reasoning algorithm based on ontology rules， the area under the curve （AUC） was 15.18% higher and the accuracy was 30.36% higher， which achieved more accurate and effective knowledge inference. ConclusionThis study used knowledge graph technology to visualize the diagnosis and treatment of acute abdomen with TCM and western medicine， assisting primary clinicians in intuitively viewing the diagnosis and treatment process and data relationship. The proposed diagnosis and treatment reasoning algorithm can realize the personalized diagnosis and treatment plan recommendation at the level of "disease-syndrome-diagnosis-treatment-prescription"， which can assist primary doctors in disease diagnosis and treatment and clinical decision-making， contribute to the knowledge sharing and application of diagnosis and treatment experience and clinical guidelines of prestigious veteran TCM doctors， improve the level of primary clinical diagnosis and treatment， and promote the normalization and standardization of the diagnosis and treatment process of acute abdomen with integrated TCM and western medicine.
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Objective:To investigate the characteristics and risk factors of infection in newly diagnosed patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).Methods:The clinical data of AAV patients (followed up for at least 6 months) in Affiliated Hospital of Qingdao University from September 2012 to September 2020 were retrospectively collected. According to whether infection occurred during follow-up, the patients were divided into infection group and non-infection group. The clinical characteristics and infection status of the two groups were analyzed, and the Cox regression analysis model was used to explore the influencing factors of infection.Results:A total of 236 AAV patients were enrolled in this study, including 128 females (54.2%) and 108 males (45.8%), with a median age of 66.00 (59.76, 71.99) years. There were 202 patients (85.6%) with positive myeloperoxidase (MPO)-ANCA and 34 patients (14.4%) with positive protease 3 (PR3) -ANCA. There were 77 cases in the infection group and 159 cases in the non-infection group. A total of 121 infections occurred in 77 patients, and 54 infections (44.6%) occurred within 6 months after initial diagnosis. In the infection group the proportion of patients with hypertension history, pulmonary underlying diseases and patients who received hormone pulse therapy or plasma exchange, the incidence of lung, kidney, heart and gastrointestinal involvement, the level of serum creatinine and five factors score (FFS) at initial diagnosis were significantly higher than those in the non-infection group (all P<0.05), while the estimated glomerular filtration rate (eGFR) was significantly lower ( P<0.05). Lung (73.6%) was the main infection organ of AAV patients. The most common pathogenic microorganisms were bacteria (64.0%), mainly Pseudomonas aeruginosa and Staphylococcus aureus, followed by fungi (33.7%, mainly Candida albicans). Multivariate Cox regression analysis showed that lung involvement ( HR=1.682, 95% CI 1.034-2.734, P=0.036) and gastrointestinal involvement ( HR=2.976, 95% CI 1.219-7.267, P=0.017) were the independent influencing factors for infection in AAV patients. Conclusions:AAV patients have a higher incidence of infection within 6 months after initial diagnosis. The most common organ of infection in AAV patients is the lung, and the common pathogens are Pseudomonas aeruginosa, Staphylococcus aureus and Candida albicans. Lung involvement and gastrointestinal involvement are the independent risk factors for infection in AAV patients.