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Objective:To know the clinical characteristics, seasonal pattern and influencing factors of atypical depression(AD) patients.Methods:A total of 203 depressed outpatients of Peking University Sixth Hospital from January 2021 to August 2021 were included.They were assessed with demographic questionnaire, inventory of depressive symptomatology self-report(IDS-SR30) and seasonal pattern assessment questionnaire(SPAQ). According the score of IDS-SR30, all patients were classified as atypical depression(AD) and non-atypical depression(non-AD). The data were analyzed by t-test, non-parametric test and Logistic regression using SPSS 26.0 software. Results:The prevalence of AD among depressed patients was 36.0% (95% CI=29.3%-42.6%). The IDS-30 score of the AD group was (41.59±10.59), and IDS-30 score of the non-AD group was (36.08±13.17), and the difference between the two groups was statistically significant ( t=3.062, P<0.05). The global seasonal score of the AD group was 6 (3, 9), and 17.8% of the AD group had seasonal pattren.The global seasonal score of the non-AD group was 5 (3, 8), and 14.6% of the non-AD group had seasonal pattern.There was no significant difference in the global seasonal score and the proportion of seasonal pattern between the two groups ( Z=0.389, χ2=0.359, P>0.05). Depression patients who were females ( β=1.08, OR=2.95, 95% CI=1.32-6.59, P<0.05), low self-evaluation ( β=0.82, OR=2.27, 95% CI=1.12-4.59, P<0.05)and psychomotor retardation ( β=0.93, OR=2.54, 95% CI=1.33-4.85, P<0.05) were more likely to be diagnosed as AD, and depression patients having mood variation ( β=-0.94, OR=0.39, 95% CI=0.19-0.81, P<0.05) were more likely to be diagnosed as non-AD. Conclusion:Women, low self-evaluation, psychomotor retardation and unobvious mood variation can predict and help to diagnose atypical depression in depressed patients.
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【Objective】 To analyze the testing results of platelet antibody in peripheral blood of 266 pregnant women, so as to explore the correlation of platelet antibody between adverse pregnancy and the number of pregnancies. 【Methods】 A total of 266 pregnant women, admitted to Shaanxi Provincial People′s Hospital, were selected for platelet antibody detection. They were divided into two groups according to history of adverse pregnancy, and the positive rate of platelet antibody between two groups was compared. They were divided into group A (1 pregnancy), group B (2 pregnancies) and group C (≥3 pregnancies) in parallel, and the positive rate of platelet antibody among three groups was compared 【Results】 The yield rate of platelet antibody in groups with and without adverse pregnancy was 31.81% vs 14.86%, showing statistical significance(P<0.05). The yield rate of platelet antibody of Group A, B and C was 9.09%, 21.62% and 23.65%, respectively, with The significant differences(P<0.05). The statistical analysis of inter-group χ2 test demonstrated a linear trend between the number of pregnancies and platelet antibodies yielding(χ2=7.056, P<0.05). 【Conclusion】 Platelet antibody was correlated with adverse pregnancy, and the yield rate of platelet antibody in the group with adverse pregnancy was higher than that in the group without adverse pregnancy. There was a linear trend between platelet antibodies yielding and the number of pregnancies. The yield rate of antibodies gets higher as the number of pregnancies increased. Taking platelet antibody test as a routine test during pregnancy is conducive to the early detection of clinical adverse pregnancy, as well as the early prevention, early detection and early intervention of fetal/neonatal homoimmune thrombocytopenic purpura and other diseases.
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Objective To explore the program of convolutional neural networks for the diagnosis of schizophrenia and evaluate its effects. Methods Using the convolutional neural network,the training model was trained in the lead data of 138 normal people and 183 schizophrenic patients,and the model was valida-ted by 20-fold cross-validation. Results The true positive rate of schizophrenia prediction using the convolu-tional neural network training model was 0. 749, the false positive rate was 0. 275, and the accuracy was 0. 738. Conclusion This model can achieve a strong diagnostic ability for patients with schizophrenia. Therefore,convolutional neural network for the diagnosis of schizophrenia will become an important research direction in the future.
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Objective To explore the sensitivity and specificity of near-infrared spectroscopy ( NIRS) in the diagnosis of depression. Methods From March 2013 to August 2013,62 patients with de-pression and 70 normal controls were collected from Peking University Sixth Hospital. Optical Tomography System (52 channels) was used to collect the NIRS data during the Verbal Fluency Test (VFT),and the number of words produced during VFT task was recorded. The wave analysis was performed by a professional psychiatrist. Results There was statistical difference in the number of words produced during VFT task be-tween the patients with depression (8.65±0.49)and control group(10.19±0.43) ( t=2.385, P<0.05). Through the wave analysis of NIRS to test patients with depression,the results demonstrated that the sensitivi-ty was 66.1% and the specificity was 91.4%. Conclusion The results of NIRS test display high specificity in the diagnosis of depression,which can be used as an objective index for clinical auxiliary diagnosis.
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Objective To explore the effects of emotion on cognitive function in patients with depression.Methods Self-rating anxiety scale(SAS),self-rating depression scale (SDS) and the typical one-back task were done by 397 patients with depression in Peking University Sixth hospital out-patient and hospitalization during 2012 June to 2013 October.Results Both of the SAS standard score (51.81 ± 11.50) and SDS standard score (62.94 ± 13.06) were significantly related (r=0.125,P＜0.05.r=0.176,P＜0.01) to the reaction time of one-back task ((590.27±213.96)ms),and the correlation between SAS standard score and SDS standard score was significant (r=0.682,P＜0.01).The results of regression analysis suggested that,only SDS score could predict the reaction time of one-back task.Conclusion The emotion of anxiety and depression in patients with depression are correlated with cognitive function,and the emotion of depression is the main factor to affect the cognitive function.
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Objective To explore the abnormal karyotype characteristics of myelodysplastic syndrome (MDS)patients and their correlation with clinical prognosis.Methods Analyzed the karyotypes of 281 MDS patients by use of G-banding tech-nique.Results Through analysis of the karyotypes of 281 MDS patients,found that the percentage of abnormal karyotypes was 48.75% (137/281),among 137 patients with abnormal karyotypes,43.07% (59 cases)presented with numerical aber-ration,31.39% (43 cases)with structural aberration,and 25.54% (35 cases)with both numerical and structural abnormali-ties.As for MDS subtypes,the occurrence rate of abnormal karyotype was 63.41% (26/41)in RAEB-2,58.73% (37/63)in RAEB-1,39.2% (49/125)in RCMD,15.38% (2/13)in RAS and 22.58% (7/31)in RA.The rates of abnormal karyotype in RAEB-1 and RAEB-2 were significantly higher than that in RA and RAS(P<0.01),and in RCMD (P <0.05).The fre-quent abnormal karyotypes were as follows:+8,-7/7q-,-20/20q-,complex karyotypes chromosomal translocation,i(17),-Y and +21.The follow-up study of 159 MDS patients indicated that the median survival time was 39 months for 68 patients with normal karyotypes and 21 months for 91 patients with abnormal karyotypes,the former was significantly prolonged than the latter (P < 0.05).As far as the leukemia transition rate was concerned,the patients with aberrant karyotypes (35.5%)were significantly higher than that with normal karyotypes (10.3%)(P < 0.01),among them,the cases with complex karyotypes and-7/7q-more easily transit into leukemia.Conclusion MDS was one kind of clonal hematological ma-lignancy with high heterogeneity.Chromosomal karyotype test plays an important role in the correct diagnosis,typing and prognosis evaluation of MDS.
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Objective The purpose of this paper is to understand the advantages and disadvantages of the bone marrow smears and bone marrow biopsy in multiple myeloma diagnosis and efficacy judgment,explicit the value of bone marrow smears and bone marrow biopsy synchronous check in the diagnosis and treatment observation of multiple myeloma.Methods With two step-suction two biopsy specimens assay,obtained specimens of bone marrow smears and bone marrow biopsy,retrospective-ly analysed results of 283 multiple myeloma patients bone marrow smear and biopsy,and made a comparative study on the degree of bone marrow hyperplasia,myeloma cell morphology,the degree of tumor cell infiltration,proliferation pattern,bone marrow stromal pathological changes,and fibrosis cases.Results The degree of proliferation of bone marrow biopsy sections and infiltration of plasma cells was significantly higher than that of bone marrow smears,statistically there was a significant difference (P <0.01).Multiple myeloma diagnostic sensitivity by bone marrow biopsy sections was significantly higher than by the bone marrow smears,the difference was statistically significant (P < 0.05).Plasma cells in bone marrow biopsy tumor proliferation modes:clusterpiece nodular type 33 cases (11.66%),interstitial-type 86 cases (30.39%),among nodular interstitial type 112 cases (39.58%),diffuse cypriot real 52 cases (18.37%).Plasma cells in bone marrow smears tumor morphology:small mature plasma cell type 77 cases (27.21%),immature plasma cell type 148 cases (52.30%),protoplas-mic cell type 36 cases (12.72%),reticular plasma cell type 22 cases (7.77%).Conclusion Marrow biopsy can accurately reflect the degree of bone marrow hyperplasia,plasma cell tumor proliferation mode and infiltration degree,myelofibrosis sit-uation;bone marrow smears Wright-Giemsa staining,plasma cell tumor morphology was clear,typicalfeatured,and easily i-dentifiable.Bone marrow smear and biopsy synchronous check can improve the sensitivity and accuracy for multiple myeloma diagnosis,which has very important significance for multiple myeloma diagnosis and treatment observation.
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Developmental dyslexia is a specific learning disability. The cerebral mechanism of development dyslexia is an important topic that has fascinated many researchers. With the introduction of brain imaging in studies of cerebral mechanism of development dyslexia, many achievements have been made. Studies of developmental dyslexia structure image found that development dyslexia showed brain structure abnormal in the parietotemporal region, occipitotemporal cortex, inferior frontal gyrus, and cerebellum et al, manifesting either in one specific area or by the asymmetry of one area; the functional image studies revealed that development dyslexia showed activity abnormal in most regions that proved to display structure abnormality; studies of brain functional connectivity demonstrates that the abnormality of development dyslexia happened not only in the connection between front-back part in one cerebral hemisphere, but also in the connection between the two hemispheres. In addition, some studies indicate Chinese development dyslexia has different brain mechanisms compared to that of alphabetic languages. These findings provide valuable insight for future developmental cerebral mechanisms research and for the expansion of Chinese development dyslexia research.