Objective To explore the correlation between functional striatal abnormalities(FSA)scores and symptoms and cognitive function in patients with schizophrenia.Methods A total of 92 patients with schizophrenia admitted to the Second Affiliated Hospital of Xinxiang Medical University from July 2021 to February 2022 were selected as the research subjects,15 patients were excluded due to excessive interference with head movement during image data analysis,and 77 patients were finally included in the statistical analysis.The cognitive function of the patients before treatment and after 8 weeks of treatment was evaluated through a set of cognitive function tests.The severity of symptoms before treatment and after 8 weeks of treatment was evaluated according to the positive and negative symptom scale(PANSS).The patients were divided into the ineffective group(PANSS＜50％,n=33)and the effective group(PANSS ≥ 50％,n=44)according to the PANSS reduction rate.Before treatment and 8 weeks after treatment,the resting-state functional magnetic resonance imaging scans were performed,and FSA scores were calculated.Results There was no significant difference in FSA scores of patients between the effective group and the ineffective group before treatment(P＞0.05).After 8 weeks of treatment,the FSA scores of patients in the two groups were significantly higher than those before treatment(P＜0.05).After 8 weeks of treatment,there was no significant difference in FSA scores of patients between the effective group and the ineffective group(P＞0.05).Before treatment and after 8 weeks of treatment,there was no significant correlation between the FSA scores and the total PANSS scores,positive factor scores,negative factor scores and pathological factor scores in the two groups(P＞0.05).There was no significant corre-lation between the pre-treatment FSA scores and the differences in positive factor scores,negative factor scores and pathological factor scores before and after treatment in both groups(P＞0.05).In the effective group,the FSA score was significantly nega-tively correlated with the spatial span score(P＜0.05)and significantly positively correlated with the category fluency score(P＜0.05)before treatment;however,there was no significant correlation between the pre-treatment FSA score and the scores of trail making,symbol coding,word learning,maze solving,visuospatial memory,2-digit continuous performance,3-digit continuous performance and 4-digit continuous performance(P＞0.05).In the ineffective group,there was a significant negative correlation between the pre-treatment FSA score and the spatial span and 4-digit continuous performance scores(P＜0.05),while there was no significant correlation between the pre-treatment FSA score and the scores of trail making,symbol coding,word learning,maze solving,visuospatial memory,category fluency,2-digit continuous performance and 3-digit continuous performance(P＞0.05).There was no significant correlation between the FSA score and cognitive function scores after treat-ment in the effective group(P＞0.05).There was a significant positive correlation between the FSA score and the trail making score after treatment in the ineffective group(P＜0.05),but there was no significant correlation between the FSA score and the scores of symbol coding,word learning,spatial span,maze solving,visuospatial memory,category fluency,2-digit continuous performance,3-digit continuous performance and 4-digit continuous performance(P＞0.05).Conclusion FSA scores in patients with schizophrenia increase significantly after treatment.FSA scores may not be related to the severity of symptoms or treatment response,but are correlated with the cognitive function of information processing speed.

Objective:To investigate the status of medical care seeking delay and diagnosis delay of pulmonary tuberculosis (PTB) patients in Tongzhou District and Changping District of Beijing, analyze the related factors and put forward suggestions for early detection and scientific management of PTB patients.Methods:A retrospective epidemiological survey was conducted to collect the incidence data of PTB registered in Tongzhou and Changping from January 1 to December 31, 2021 by using the Chinese Tuberculosis Information Management System, and telephone interview were used for information supplement. Multivariate logistic regression model and decision tree model were used to analyze the influencing factors of medical care seeking delay and diagnosis delay of PTB patients.Results:In 2021, the medical care seeking delay time M( Q1, Q3) in the PTB patients in Tongzhou and Changping was 11 (5, 26) days, with a delay rate of 41.71%. Results from multivariate logistic regression model analysis revealed that factors influencing the medical care seeking delay included regular health check-up ( OR=0.033, 95% CI: 0.008-0.147), coughing for less than 2 weeks or showing any symptom of PTB before medical care seeking ( OR=0.378, 95% CI: 0.215-0.665), showing other symptoms before medical care seeking( OR=2.791, 95% CI: 1.710-4.555), no work or school in medical care seeking ( OR=2.990, 95% CI: 1.419-6.298). The diagnosis delay time M( Q1, Q3) in the PTB patients was 8 (0, 18) days, with a delay rate of 35.20%. Multivariate logistic regression model analysis revealed that the factors influencing the diagnosis delay of PTB included being diagnosed at a specialized tuberculosis hospital ( OR=0.426, 95% CI: 0.236-0.767) or a tuberculosis prevention and control institution ( OR=1.843, 95% CI: 1.061-3.202) and being traced as a source of infection ( OR=2.632, 95% CI: 1.062-6.521). The overall performance of the multivariate logistic regression model was comparable to that of the decision tree model, with the decision tree model exhibiting higher sensitivity but lower specificity. Conclusions:The medical care seeking delay rate and diagnosis delay rate of tuberculosis in Tongzhou and Changping were at low levels in 2021. However, it is still necessary to strengthen the health education and active screening, improve the public awareness of PTB prevention and control, and further improve the level of medical services and medical access to reduce the medical care seeking delay and diagnosis delay of PTB patients.

Objective:To evaluate the effect of health science popularization in child caregivers by using social media of WeChat and Weibo in China in 2020.Methods:A questionnaire was designed based on the knowledge of children health from January to March 2020, and the public were invited to participate in the survey by visiting the official accounts of WeChat and Weibo of China CDC to analyze the awareness of health related knowledge and the change of daily behaviors in the child caregivers.Results:In the 1 325 child caregivers included in this survey, the awareness rate of chronic disease reexamine was lowest (74.94%), and the awareness rate of quality-oriented education was highest (99.55%). In the 7 questions in the questionnaire, the correct answer rate of the question about the reexamine of chronic disease was <75.00% (below the standard), the correct answer rate to other six questions were all ≥75.00% (above the standard). Logistic regression analysis showed that the education levels of senior high school or technical secondary school, junior college, bachelor's degree, master's degree or above, being worker, business/service personnel, teacher and company employee were the influencing factors for the awareness of the chronic disease related knowledge in child caregivers (all P<0.05). The daily behaviors of child caregivers after acquiring health knowledge were significantly improved (all P<0.001). Conclusions:In the season with high incidence of respiratory diseases, the use of new media platforms, such as WeChat and Weibo, to conduct health education had a good performance, resulting in higher rate of knowledge about healthy parenting and a significant improvement in daily behaviors in child caregivers. The results showed that the health education about the reexamine of chronic diseases in children should be focused on child caregivers with low education level, especially workers, business/service personnel.

Objective:To investigate the clinical and genetic features of the patient with neurodevelopmental disorders characterized by thickened corpus callosum caused by MAST1 gene mutation. Methods:Clinical data and auxiliary examination of a child with neurodevelopmental disorders caused by MAST1 gene mutation who was admitted to Henan Children′s Hospital in September 2022 were collected, and whole exome sequencing technology was applied to analyze the genetics of the child. Results:The patient was a 2 years and 8 months old male, with a clinical phenotype including intellectual, motor, and speech development disorders. Brain magnetic resonance imaging (MRI) showed thickened corpus callosum, nodular heterotopia of the left ventricle body.Whole exome sequencing showed the MAST1 gene with c.578T>G(p.Met193Arg) heterozygous missense variant, which was a unreported de novo pathogenic variant and both of his parents were wild-type. Conclusions:Diseases caused by MAST1 gene mutations are relatively rare, the main clinical features are neurodevelopmental disorders and brain structural abnormalities, and MRI shows an enlarged corpus callosum.The heterozygous missense variant c.578T>G(p.Met193Arg) of the MAST1 gene is the genetic cause of this case.

Objective:To explore the mechanism of anti anxiety (AD) effect of Shenqi Schisandra chinensis using network pharmacology and molecular docking technology.Methods:The main active ingredients of S-Q-W-W-Z (Shenqi Schisandra chinensis) were screened through the TCMSP database. The corresponding targets of the active ingredients were obtained through the TCMSP database and SymMap database. The drug active ingredient target relationship network was visualized using Cytoscape. Utilize TTD, OMIM, NCBI, Drugbank, and GeneCards databases to directly identify potential targets for anxiety. We constructed interaction diagrams of potential targets based on the String database, and used Cytoscape tool to obtain key target proteins. Gene ontology (GO) enrichment analysis and Tokyo Encyclopedia of Genomes (KEGG) signaling pathway analysis were used to identify key targets and signaling pathways for anti anxiety effects of Schisandra chinensis. AutodockTools software was used to perform molecular docking on key active ingredients and key target proteins, and their binding energies were calculated. The molecular docking results were visualized using PyMol software.Results:The 63 effective ingredients in Shen-Qi-Wu-Wei-Zi (Shenqi Schisandra chinensis) can act on anxiety disorder through 69 targets. Among them, quercetin, luteolin, and stigmasterol are the main active ingredients, and serine threonine protein kinase 1 (AKT1) protein and interleukin-6 (IL-6) protein are key target proteins. Molecular docking technology has verified the good binding ability between these key active ingredients and key target proteins. Shenqi Schisandra mainly exerted therapeutic effects on anxiety disorders by regulating Toll like receptor signaling pathways, tumor necrosis factor (TNF) signaling pathways, cancer pathways, and other pathways.Conclusions:The Shenqi Schisandra may exert anti anxiety effects by regulating related targets such as AKT1 and IL-6, regulating inflammatory reactions, cell apoptosis, and other processes.

Objective:To investigate the predictive value of the maximum aggregation rate (MAR) of platelet for septic shock and septic shock with disseminated intravascular coagulation (DIC).Methods:A retrospective case-control study enrolled patients with sepsis admitted to department of critical care medicine of the First Affiliated Hospital of Zhengzhou University from January 2021 to November 2022. The basic data, dynamic platelet aggregation rate, blood routine, inflammation indicators, sequential organ failure assessment (SOFA) and other clinical indicators within 24 hours after admission were collected. Septic patients were divided into the shock group and the non-shock group according to the presence of septic shock; then refer to the International Society on Thrombosis and Hemostasis (ISTH) standard, patients with septic shock were divided into the shock DIC group and the shock non-DIC group according to the presence of dominant DIC. Compared the differences in platelet aggregation function between these groups, and the receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of the MAR for septic shock and septic shock with DIC. Spearman correlation analysis was used to analyze the correlation of MAR with inflammation indicators and the severity of illness in patients with sepsis.Results:A total of 153 sepsis patients were included and 61 with septic shock (including 17 with dominant DIC and 44 without dominant DIC). Compared with the non-shock group, the level of procalcitonin (PCT), C-reactive protein (CRP), and SOFA score were significantly higher in the shock group [PCT (mg/L): 6.90 (2.50, 23.50) vs. 0.87 (0.26, 5.75), CRP (mg/L): 156.48 (67.11, 230.84) vs. 90.39 (46.43, 182.76), SOFA score: 11.00 (8.00, 14.00) vs. 5.00 (3.00, 8.00), all P < 0.05]. The platelet count (PLT) and the MAR induced by adenosine diphosphate (ADP), adrenaline (A), collagen (COL), and arachidonic acid (AA; ADP-MAR, A-MAR, COL-MAR, AA-MAR) in the shock group were significantly decreased [PLT (×10 9/L): 101.00 (49.00, 163.50) vs. 175.50 (108.25, 254.50), ADP-MAR: 28.50% (22.00%, 38.05%) vs. 45.90% (33.98%, 60.28%), A-MAR: 38.90% (30.00%, 55.40%) vs. 65.15% (54.38%, 72.53%), COL-MAR: 27.90% (20.85%, 36.55%) vs. 42.95% (33.73%, 54.08%), AA-MAR: 24.70% (16.40%, 34.20%) vs. 46.55% (28.33%, 59.20%), all P < 0.05]. Subgroup analysis revealed that, compared with the shock non-DIC group, the SOFA scores were significantly higher in patients in the shock DIC group (13.29±5.23 vs. 10.39±3.58, P < 0.05), the PLT and COL-MAR in the shock DIC group were significantly reduced [PLT (×10 9/L): 36.00 (22.00, 67.50) vs. 115.50 (84.25, 203.75), COL-MAR: 21.50% (17.85%, 32.60%) vs. 30.95% (22.98%, 38.53%), all P < 0.05]. ROC curve analysis showed that A-MAR had a higher predictive value for septic shock, and the area under the ROC curve (AUC) was 0.814 [95% confidence interval (95% CI) was 0.742-0.886, P = 0.000]. When the optimal cut-off value was 51.35%, the sensitivity was 68.9%, the specificity was 82.6%, the positive predictive value was 0.724 and the negative predictive value was 0.800. COL-MAR had some predictive value for septic shock with DIC, and the AUC was 0.668 (95% CI was 0.513-0.823, P = 0.044). When the optimal cut-off value was 21.90%, the sensitivity was 52.9%, the specificity was 79.5%, the positive predictive value was 0.500, and the negative predictive value was 0.813. Spearman correlation analysis showed that the MAR induced by each inducer was negatively correlated with inflammatory indicators and SOFA scores in sepsis patients, with A-MAR showing the strongest correlation with SOFA score ( r = -0.327, P = 0.000). Conclusions:MAR, an indicator of platelet aggregation function, shows predictive value for septic shock and septic shock with DIC, and it could be used to for evaluating the severity of patients with sepsis. In addition, tt alsocan be used as a monitoring index to predict the changes of sepsis patients and to guide the treatment.

OBJECTIVE: To observe the expression level of cytokines in patients with sepsis and its effect on prognosis. METHODS: The clinical data of sepsis patients admitted to the intensive care unit (ICU) of the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were analyzed retrospectively, including gender, age, and acute physiology and chronic health evaluation II (APACHE II), blood routine, procalcitonin (PCT), C-reactive protein (CRP), and cytokines levels [interleukins (IL-2, IL-4, IL-6, IL-10, IL-17), tumor necrosis factor-α (TNF-α), and interferon-γ (IFN-γ)] within 24 hours of admission to ICU. The 28-day prognosis of the patients was followed up. The patients were divided into survival group and death group according to the prognosis. The clinical data between the two groups of sepsis patients with different prognosis were compared. Binary Logistic regression analysis was used to analyze the independent risk factors affecting the prognosis of patients with sepsis, and the receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of each risk factor for the prognosis of patients with sepsis. RESULTS: (1) A total of 227 patients with sepsis were enrolled, including 168 patients in the survival group (survival rate 74.0%) and 59 patients in the death group (mortality 26.0%). There were no significant differences in age (years old: 55.97±2.13 vs. 54.67±1.11) and gender (male: 71.2% vs. 57.1%) between the death group and the survival group (both P > 0.05), indicating that the baseline data of the two groups were comparable. (2) The APACHE II (19.37±0.99 vs. 14.88±0.61, P < 0.001) and PCT (μg/L: 12.39±2.94 vs. 4.14±0.90, P < 0.001) in the death group were significantly higher than those in the survival group, while the platelet count [PLT (×10⁹/L): 144.75±12.50 vs. 215.99±11.26, P = 0.001] and thrombocytocrit [(0.14±0.01)% vs. (0.19±0.01)%, P = 0.001] were significantly lower than those in the survival group. (3) The level of IL-6 in the death group was significantly higher than that in the survival group (ng/L: 577.66±143.16 vs. 99.74±33.84, P < 0.001). There were no statistically significant differences in other cytokines, IL-2, IL-4, IL-10, TNF-α, IFN-γ and IL-17 between the death group and the survival group [IL-2 (ng/L): 2.44±0.38 vs. 2.63±0.27, P = 0.708; IL-4 (ng/L): 3.26±0.67 vs. 3.18±0.34, P = 0.913; IL-10 (ng/L): 33.22±5.13 vs. 39.43±2.85, P = 0.262; TNF-α (ng/L): 59.33±19.21 vs. 48.79±29.87, P = 0.839; IFN-γ (ng/L): 6.69±5.18 vs. 1.81±0.16, P = 0.100; IL-17 (ng/L): 2.05±0.29 vs. 2.58±0.33, P = 0.369]. (4) Binary Logistic regression analysis showed that APACHE II and IL-6 were independent risk factors affecting the prognosis of patients with sepsis [odds ratio (OR) and 95% confidence interval (95%CI) were 1.050 (1.008-1.093) and 1.001 (1.000-1.002), P values were 0.019 and 0.026, respectively]. (5) ROC curve analysis showed that APACHE II and IL-6 had certain predictive value for the prognosis of patients with sepsis, the area under the ROC curve (AUC) was 0.754 (95%CI was 0.681-0.827) and 0.592 (95%CI was 0.511-0.673), P values were < 0.001 and 0.035, respectively. When the optimal cut-off value of APACHE II was 16.50 score, the sensitivity was 72.6% and the specificity was 69.9%. When the optimal cut-off value of IL-6 was 27.87 ng/L, the sensitivity was 67.2% and the specificity was 52.8%. CONCLUSIONS APACHE II score and IL-6 level have certain predictive value for the prognosis of patients with sepsis, the higher APACHE II score and IL-6 level, the greater the probability of death in patients with sepsis.
Humans ; Male ; Interleukin-10 ; Interleukin-17 ; Cytokines ; Tumor Necrosis Factor-alpha ; Interleukin-6 ; Retrospective Studies ; Interleukin-2 ; Interleukin-4 ; ROC Curve ; Sepsis/diagnosis* ; Prognosis ; Procalcitonin ; Interferon-gamma ; Intensive Care Units

OBJECTIVE: To explore the characteristics of changes in peripheral blood lymphocyte subsets in patients with sepsis in intensive care unit (ICU) and analyze their predictive value for prognosis. METHODS: The clinical data of sepsis patients admitted to the surgical intensive care unit (SICU) of the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2021 were analyzed retrospectively. The patients met the diagnostic criteria of Sepsis-3 and were ≥ 18 years old. Peripheral venous blood samples were collected from all patients on the next morning after admission to SICU for routine blood test and peripheral blood lymphocyte subsets. According to the 28-day survival, the patients were divided into two groups, and the differences in immune indexes between the two groups were compared. Logistic regression analysis was used to analyze the risk factors of immune indexes that affect prognosis. RESULTS: (1) A total of 279 patients with sepsis were enrolled in the experiment, of which 198 patients survived at 28 days (28-day survival rate 71.0%), and 81 patients died (28-day mortality 29.0%). There were no significant differences in age (years old: 57.81±1.71 vs. 54.99±1.05) and gender (male: 60.5% vs. 63.6%) between the death group and the survival group (both P > 0.05), and the baseline data was comparable.(2) Acute physiology and chronic health evalution II (APACHE II: 22.06±0.08 vs. 14.08±0.52, P < 0.001), neutrophil percentage [NEU%: (88.90±1.09)% vs. (84.12±0.77)%, P = 0.001], procalcitonin [PCT (μg/L): 11.97±2.73 vs. 5.76±1.08, P = 0.011], platelet distribution width (fL: 16.81±0.10 vs. 16.57±0.06, P = 0.029) were higher than those in the survival group, while lymphocyte percentage [LYM%: (6.98±0.78)% vs. (10.59±0.86)%, P = 0.012], lymphocyte count [LYM (×10⁹/L): 0.70±0.06 vs. 0.98±0.49, P = 0.002], and platelet count [PLT (×10⁹/L): 151.38±13.96 vs. 205.80±9.38, P = 0.002], and thrombocytocrit [(0.15±0.01)% vs. (0.19±0.07)%, P = 0.012] were lower than those in the survival group. (3) There was no statistically significant difference in the percentage of lymphocyte subsets between the death group and the survival group, but the absolute value of LYM (pieces/μL: 650.24±84.67 vs. 876.64±38.02, P = 0.005), CD3⁺ absolute value (pieces/μL: 445.30±57.33 vs. 606.84±29.25, P = 0.006), CD3⁺CD4⁺ absolute value (pieces/μL: 239.97±26.96 vs. 353.49±18.59, P = 0.001), CD19⁺ absolute value (pieces/μL: 111.10±18.66 vs. 150.30±10.15, P = 0.049) in the death group was lower than those in the survival group. Other lymphocyte subsets in the death group, such as CD3⁺CD8⁺ absolute value (pieces/μL: 172.40±24.34 vs. 211.22±11.95, P = 0.112), absolute value of natural killer cell [NK (pieces/μL): 101.26±18.15 vs. 114.72±7.64, P = 0.420], absolute value of natural killer T cell [NKT (pieces/μL): 33.22±5.13 vs. 39.43±2.85, P = 0.262], CD4^-CD8^- absolute value (pieces/μL: 41.07±11.07 vs. 48.84±3.31, P = 0.510), CD4⁺CD8⁺ absolute value (pieces/μL: 3.39±1.45 vs. 3.47±0.36, P = 0.943) were not significantly different from those in the survival group. (4)Logistic regression analysis showed that lymphocyte subsets were not selected as immune markers with statistical significance for the prognosis of sepsis. CONCLUSIONS The changes of immune indexes in sepsis patients are closely related to their prognosis. Early monitoring of the above indexes can accurately evaluate the condition and prognosis of sepsis patients.
Humans ; Male ; Adolescent ; Retrospective Studies ; ROC Curve ; Sepsis/diagnosis* ; Lymphocyte Count ; Lymphocyte Subsets ; Prognosis ; Killer Cells, Natural

【Objective】 To explore the incidence rate and characteristics of hepatitis-C virus (HCV) infection in heroin addicts with pulmonary tuberculosis (TB) in Xi’an so as to provide a basis for pulmonary TB and HCV prevention and control measures. 【Methods】 We carried out behavior investigation and serological detection of 219 heroin addicts with pulmonary TB infection in Xi’an Eighth Hospital. We analyzed HCV infection risk factors by Chi-square test and multi-factor Logistic regression method. 【Results】 The prevalence of HCV infection in heroin addicts with pulmonary TB was 71.2% and 92.9% in injected drug users (IDUs). The HCV infection rate was higher than the infection rate of HBV (10.9%) and HIV (5.9%) in heroin addicts with pulmonary TB. The major infection risk factors were intravenous injection (OR=18.632, 95% CI: 8.146-41.284) and longer duration of drug use (OR=1.428, 95% CI: 1.086-1.876). 【Conclusion】 The study found high HCV infection rate in heroin addicts with pulmonary TB and that the independent risk factors are the drug injection and duration of drug use. In order to prevent further spread of HCV in heroin addicts with pulmonary TB, we should establish and perfect the management system of HCV infection.

Objective: To investigate the clinicopathological features, immunophenotypes, genetics and prognosis of T-lymphocyte lymphoma/myeloid sarcoma combined with Langerhans cell histiocytyosis (coexistence of T-LBL/MS and LCH). Methods: Clinical and pathological data of the 6 patients with coexistence of T-LBL/MS and LCH were analyzed, who were diagnosed at the Foshan Hospital of Sun Yat-sen University and the Friendship Hospital of Capital Medical University, from December 2013 to April 2019. The hematoxylin and eosin stain, immunohitochemistry (EnVision) and in situ hybridization were used. Related literatures were reviewed. Results: Four patients were T-LBL combined with LCH, 1 was T-LBL/MS combined with LCH, and 1 was MS combined with LCH. There were 2 male and 4 female patients, with age ranged from 5 to 77 years old (median, 59 years old). Three patients represented with only multiple lymph node swelling. The other 3 displayed both multiple lymph node swelling, and skin/liver or spleen lesions. Lymph node structure was destroyed in 5 cases, while 3 cases had several residual atrophic follicles. Histologically, there were two types of tumor cells: one type of the abnormal lymphoid-cells exhibited small to medium-sized blast cells, typically showing a nested distribution, and these cells were mainly identified in residual follicles and paracortical areas; the other type of histiocytoid cells had a large cell size and abundant pale or dichromatic cytoplasm. Their nuclei were irregularly shaped, showing folded appearance and nuclear grooves. These cells were mainly present in marginal sinus, medullary sinus and interstitial area between follicles. Eosinophil infiltration in the background was not evident in any of the cases. The lymphoid-cells of medium size showed TdT+/CD99+/CD7+, with variable expression of CD34/MPO/CD2/CD3. Ki-67 index was mostly 30%-50%. However, the histiocytoid cells showed phenotype of CD1a+/S-100+/Langerin+/-, while CD163/CD68 were positive in some degree. These cells did not express any T or B cell markers. The Ki-67 index mostly ranged between 10%-20%. None of the cases had Epstin-Barr viral infection. Among the 6 patients, 4 patients were followed up (6-63 months, median time, 18.5 months), of whom 1 patient died of the disease and 3 patients were alive at the end of follow-up. Conclusions T-LBL/MS combined with LCH is a rare mixed type of immature hematopoietic disease, and mainly occurs in lymph node and skin. The clinical course is overall aggressive. Therefore, it is helpful to recognize and identify the two pathologic components in the same tissue for accurate diagnosis and proper treatment.