Objective:To observe the efficacy and safety of subretinal injection of Aflibercept for the treatment of refractory or recurrent polypoidal choroidal vasculopathy (PCV).Methods:A prospective clinical research. From January to June 2022, 18 patients of 18 eyes with PCV diagnosed in The Affiliated Eye Hospital of Nanchang University were included in the study. All patients underwent best corrected visual acuity (BCVA), indocyanine green angiography and optical coherence tomography (OCT). The BCVA examination was performed using the international standard visual acuity chart, which was converted to logarithm of the minimum angle of resolution (logMAR) visual acuity during statistics. The large choroidal vessel thickness (LVCT), central retinal thickness (CRT), sub-foveal choroidal thickness (SFCT) and retinal pigment epithelium detachment (PED) height were measured by enhanced depth imaging technique of OCT. The choroidal vascular index (CVI) was calculated. There were 18 patients of 18 eyes, 11 males of 11 eyes and 7 females of 7 eyes. The age was (64.22±3.86) years old. The disease duration was (5.22±1.80) years. The patient had received intravitreal injection of anti-vascular endothelial growth factor (VEGF) drugs for (7.72±1.36) times. The logMAR BCVA of the affected eyes was 1.28±0.25. The SFCT, CRT, LVCT, PED height were (436.56±9.80), (432.44±44.29), (283.78±27.10), (342.44±50.18) μm, respectively, and CVI was 0.65±0.01. All eyes were treated with a single subretinal injection of 40 mg/ml Aflibercept 0.05 ml (including Aflibercept 2.0 mg). According to the results of OCT and BCVA after treatment, the lesions were divided into active type and static type. The active lesions were treated with intravitreal injection of Aflibercept at the same dose as before. Quiescent lesions were followed up. Examinations were performed 1-3, 6, 9 and 12 months after treatment using the same equipment and methods before treatment. The BCVA, LVCT, CRT, SFCT, PED height, CVI, interretinal or subretinal fluid, lesion regression rate, injection times, and complications during and after treatment were observed. The BCVA, SFCT, CRT, LVCT, PED height and CVI before and after treatment were compared by repeated measures analysis of variance.Results:Eighteen eyes received subretinal and/or intravitreal injection of Aflibercept (1.61±0.85) times (1-4 times). At the last follow-up, the polypoid lesions regressed in 4 eyes and PED disappeared in 1 eye. Compared with before treatment, BCVA ( F=50.298) gradually increased, CRT ( F=25.220), PED height ( F=144.16), SFCT ( F=69.77), LVCT ( F=136.69), CVI ( F=72.70) gradually decreased after treatment. The differences were statistically significant ( P<0.001). Macular hole occurred in 1 eye after treatment, and the hole closed spontaneously 3 months after treatment. No serious complications such as retinal tear, retinal detachment, endophthalmitis and vitreous hemorrhage occurred during and after treatment. Conclusion:Subretinal injection of Aflibercept is safe and effective in the treatment of refractory PCV.

Objective:To observe the efficacy and safety of vitrectomy combined with subretinal injection of alteplase (tPA) and intravitreal injection of Conbercept in the treatment of large area submacular hemorrhage (SMH) secondary to polypoidal choroidal vasculopathy (PCV).Methods:A retrospective clinical study. From January to September 2021, 32 eyes of 32 patients with massive SMH secondary to PCV diagnosed in the Affiliated Eye Hospital of Nanchang University were included in the study. Large SMH was defined as hemorrhage diameter ≥4 optic disc diameter (DD). There were 32 patients (32 eyes), 20 males and 12 females. The mean age was (72.36±8.62) years. All patients had unilateral disease.The duration from onset of symptoms to treatment was (7.21±3.36) days. All patients underwent best corrected visual acuity (BCVA) and optical coherence tomography (OCT) examination. BCVA examination was performed using the international standard visual acuity chart, which was converted to the logarithm of the minimum angle of resolution (logMAR) visual acuity during statistics. The central macular thickness (CMT) was measured by spectral domain-OCT. The average size of SMH was (6.82±1.53) DD. The logMAR BCVA 1.73±0.44; CMT was (727.96±236.40) μm. All patients were treated with 23G pars plana vitrectomy combined with subretinal injection of tPA and intravitreal injection of Conbercept. At 1, 3, 6 and 12 months after treatment, the same equipment and methods were used for relevant examinations before treatment. The changes of BCVA and CMT, the clearance rate of macular hemorrhage, and the complications during and after surgery were observed. BCVA and CMT before and after treatment were compared by repeated measures analysis of variance.Results:Compared with before treatment, BCVA gradually increased at 1, 3, 6 and 12 months after treatment, and the differences were statistically significant ( F=77.402, P<0.001). There was no significant difference in BCVA between any two groups at different time points after treatment ( P>0.05). Correlation analysis showed that BCVA at 12 months after treatment was negatively correlated with the course of disease ( r=-0.053, P=0.774). One week after treatment, macular hemorrhage was completely cleared in 30 eyes (93.75%, 30/32). The CMT was (458.56±246.21), (356.18±261.46), (345.82±212.38) and (334.64±165.54) μm at 1, 3, 6 and 12 months after treatment, respectively. Compared with before treatment, CMT decreased gradually after treatment, and the difference was statistically significant ( F=112.480, P<0.001). There were statistically significant differences in different follow-up time before and after treatment ( P<0.001). The number of treatments combined with Conbercept during and after surgery was (4.2±1.8) times. At the last follow-up, there was no recurrence of SMH, retinal interlamellar effusion and other complications. Conclusion:Subretinal injection of tPA combined with intravitreal injection of Conbercept is safe and effective in the treatment of large SMH secondary to PCV, and it can significantly improve the visual acuity of patients.

Objective To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.Methods We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer,who were randomly divided into a training dataset(60%)and a testing dataset(40%).Using univariate analysis,multiple logistic regression analysis,and LASSO regression analysis,we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer.We employed an integrated learning approach that combined GBM,XGBOOST,and MLP algorithms for optimization of the model performance through parameter adjustments.Results The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age,Gn initiation dose,number of assisted reproduction cycles,and number of embryos transferred.The variables included in the LASSO model selection included female age,FSH levels,duration and initial dose of Gn usage,number of assisted reproduction cycles,retrieved oocytes,embryos transferred,endometrial thickness on HCG day,and progesterone level on HCG day.The nomogram demonstrated an accuracy of 0.642(95%CI:0.605-0.679)in the training dataset and 0.652(95%CI:0.600-0.704)in the validation dataset.The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725(95%CI:0.680-0.770)in the training dataset and 0.718(95%CI:0.675-0.761)in the validation dataset.Conclusions The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.

Teaching clinics represent a unique form of outpatient training of resident physicians and serve as a crucial instrument and core component of standardized training of general practice residents. This article reviews the common model and innovations of teaching clinics of general practice in China, and analyzes their reported effectiveness in enhancing the capabilities of consultation of resident physicians, the teaching capabilities of general practice trainers, as well as satisfaction levels of involved participants. It outlines the challenges encountered in implementing teaching clinics, including inadequate teaching facilities and equipment, incomplete incentive system for teaching, difficulties in patient recruitment, and weaknesses in the teaching capabilities of trainers. To address these challenges, this article proposes corresponding strategies based on realistic needs, including the improvement of facilities and equipment in teaching clinics, the establishment of incentive systems for teaching clinics, the expansion of patient recruitment channels for teaching clinics, and the enhancement of training for trainers' teaching capabilities. This is envisaged to provide both theoretical bases and practical guidance for the effective execution and standardized development of teaching clinics in general practice residency training bases.

Objective To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.Methods We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer,who were randomly divided into a training dataset(60%)and a testing dataset(40%).Using univariate analysis,multiple logistic regression analysis,and LASSO regression analysis,we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer.We employed an integrated learning approach that combined GBM,XGBOOST,and MLP algorithms for optimization of the model performance through parameter adjustments.Results The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age,Gn initiation dose,number of assisted reproduction cycles,and number of embryos transferred.The variables included in the LASSO model selection included female age,FSH levels,duration and initial dose of Gn usage,number of assisted reproduction cycles,retrieved oocytes,embryos transferred,endometrial thickness on HCG day,and progesterone level on HCG day.The nomogram demonstrated an accuracy of 0.642(95%CI:0.605-0.679)in the training dataset and 0.652(95%CI:0.600-0.704)in the validation dataset.The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725(95%CI:0.680-0.770)in the training dataset and 0.718(95%CI:0.675-0.761)in the validation dataset.Conclusions The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.

Humans ; Asthma/drug therapy* ; Biological Therapy

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.

Objective To investigate the correlation between ITPKB mutation's variant allele frequency (VAF) and prognosis of diffuse large B-cell lymphoma (DLBCL). Methods This study included 155 patients with DLBCL initially diagnosed in the People's Hospital of Xinjiang Uygur Autonomous Region from June 2014 to December 2020. Paraffin-embedded tumor tissue specimens were obtained, and tumor tissue DNA was extracted. A total of 475 hotspot genes including ITPKB were detected by the next generation sequencing to analyze the relationship of the VAF of high-frequency mutant gene with progression-free survival (PFS) and overall survival (OS). Results The mutation frequency of ITPKB was 18.71%. The PFS was significantly shorter in the patients with ITPKB mutations than in those without mutations (37 months vs. 108 months; HR=1.643, 95%CI: 0.920-2.934, P=0.093). The R-language based web tool was used to find the best VAF cutoff to differentiate prognosis. The patients were divided into two groups (VAF High vs. VAF Low+Wt) according to their VAF values. The optimal VAF threshold for ITPKB was 27.48% (HR=3.480, 95%CI: 1.70-7.13, P=0.00027). Multivariate Cox analysis was conducted using clinical indicators such as age, gender, COO classification, IPI, and LDH, and the results showed that PFS was associated with high ITPKB VAF (≥28%) (HR=3.592, 95%CI: 1.738-7.425, P < 0.001) which was an independent adverse predictor of PFS. Conclusion The high load of ITPKB mutation is an independent risk factor for the PFS of patients with DLBCL, and the VAF of ITPKB mutation has a prognostic predictive value for patients with DLBCL.

Purpose: Knowing the distinction between benign and borderline/malignant phyllodes tumors (PTs) can help in the surgical treatment course. Herein, we investigated the value of magnetic resonance imaging-based texture analysis (MRI-TA) in differentiating between benign and borderline/malignant PTs. Methods: Forty-three women with 44 histologically proven PTs underwent breast MRI before surgery and were classified into benign (n = 26) and borderline/malignant groups (n = 18 [15 borderline, 3 malignant]). Clinical and routine MRI parameters (CRMP) and MRI-TA were used to distinguish benign from borderline/malignant PT. In total, 298 texture parameters were extracted from fat-suppression (FS) T2-weighted, FS unenhanced T1-weighted, and FS first-enhanced T1-weighted sequences. To evaluate the diagnostic performance, receiver operating characteristic curve analysis was performed for the K-nearest neighbor classifier trained with significantly different parameters of CRMP, MRI sequence-based TA, and the combination strategy. Results: Compared with benign PTs, borderline/malignant ones presented a higher local recurrence (p = 0.045); larger size (p < 0.001); different time-intensity curve pattern (p = 0.010); and higher frequency of strong lobulation (p = 0.024), septation enhancement (p = 0.048), cystic component (p = 0.023), and irregular cystic wall (p = 0.045). TA of FS T2-weighted images (0.86) showed a significantly higher area under the curve (AUC) than that of FS unenhanced T1-weighted (0.65, p = 0.010) or first-enhanced phase (0.72, p = 0.049) images. The texture parameters of FS T2-weighted sequences tended to have a higher AUC than CRMP (0.79, p = 0.404). Additionally, the combination strategy exhibited a similar AUC (0.89, p = 0.622) in comparison with the texture parameters of FS T2-weighted sequences. Conclusion MRI-TA demonstrated good predictive performance for breast PT pathological grading and could provide surgical planning guidance. Clinical data and routine MRI features were also valuable for grading PTs.

To investigate the clinical features and prognostic significance in myelodysplastic syndrome (MDS) patients with DTA (DNMT3A,TET2,ASXL1) mutations. Clinical characteristics of 140 patients diagnosed as de novo MDS at People′s Hospital of Xinjiang Uygur Autonomous Region from September 2015 to December 2019 were retrospectively analyzed. Next-generation sequencing was used to detect 34 related genes in MDS patients. DTA mutations and the correlation with progression-free survival (PFS) and overall survival (OS) in MDS patients were evaluated. Among 140 MDS patients, DTA mutations was detected in 62 (44.3%) patients. And the positive rate of DTA mutations in IPSS-R lower-risk group was 65.4%, significantly higher than that of higher-risk group (31.8%)( P=0.000). Compared with the non-mutated group, patients with DTA mutations had a lower rate of conversion to leukemia (9.7% vs . 29.5%, P=0.004).Survival analysis showed that PFS in patients with DTA mutations was comparable as that in MDS patients without DTA mutations ( P=0.787), but the median OS was significantly shorter (16 months vs . 20 months, P=0.022).According to IPSS-R classification, the median OS in patients with and without DTA mutation was only statistically significant in the higher-risk group (15 months vs. 18 months, P=0.034).Among 62 patients with DTA mutations, 60 (96.8%) had additional gene mutations. DTA mutations were not independent prognostic factors when mutation frequency is greater than 10% were considered in Cox regression model ( P>0.05). DTA mutations often developed in the early stage of MDS, therefore they were more common in IPSS-R lower-risk subgroup which was correlated to the low rate of conversion to leukemia. In conclusion, DTA mutations are not associated with disease progression, but predict unfavorable survival when other add-on genes are mutated.