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find Author "WANGDan" 4 results
  • Clinical Analysis on Pulmonary Langerhans’ Cells Histiocytosis and Literatures Review

    ObjectiveTo investigate the clinical features of Pulmonary Langerhans' cells histiocytosis (PLCH). MethodsFour cases of PLCH diagnosed by histopathologic examination between August 2004 and September 2013 were retrospectively analyzed. ResultsFour male patients aged from 19 to 46 year old, including three smokers. The main symptoms were chest tightness, cough, and dyspnea. Pneumothorax was presented in two cases, and tuberculosis was in one. The chest high resolution CT (HRCT) revealed lung cysts, nodles, and reticular changes predominantly in the upper and middle lung fields. The pathological Langerhans' cells infiltration were found in the histological biopsy of lesions of the 4 cases. All of the patients were positive in the immuno-histological staining for the S-100 and CD1a antigens. Two cases were positive in Langrin staining (other two patients didn't underwent the staining). Two of the 4 patients were given oral steroid, and the symptoms were improved in one of them. The case with pulmonary tuberculosis improved in symptoms and CT results showed the absorption of the lesion after anti-tuberculosis therapy. Three cases were not followed up. ConclusionPLCH patients were mainly young adults, often presented with chest tightness, cough, and dyspnea. The clinical features of chest HRCT are bilateral cysts, nodules and reticular changes. The disease may be defined by the finding of pathologic Langerhans' cells or the positive staining for CD1a antigens or Langerin.

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  • Social Function of Schizophrenic Patients of Different Marriage Status and Breeding Status

    ObjectiveTo compare social function of schizophrenic patients of different marriage status and breeding status. MethodsA total of 218 people diagnosed to have schizophrenia between June and December 2013 were investigated. The research instruments included General Status Questionnaire and Social Disability Screening Scale. ResultsMen had no significant difference in social deficit from women (P>0.05). At the onset of the disease, married male patients were better than single male ones in terms of social function retreating and family function (P<0.05); married female patients were better in all aspects of social function than single female ones (P<0.05); male patients with children were better in family function than those without children (P<0.05); female patients without children had much worse social dysfunction than those with children except in the area of activity outside the family (P<0.05); male patients without children had more obvious social dysfunction than those with children except in such areas as little activity within the family, personal care, external interests and concern (P<0.05); single female patients had worse social dysfunction than married ones at present (P<0.05). ConclusionMarried schizophrenic patients with children have better social function.

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  • Correlation between HDL-C Level and Lung Cancer: A Meta-analysis

    ObjectiveTo systematically review the correlation between HDL-C level and lung cancer. MethodsSuch databases as PubMed, EBSCO, ISI Web of Science, The Cochrane Library (Issue 8, 2015), VIP, and CNKI Data were electronically searched from inception to September 23th, 2015 to collect studies about the correlation between HDL level and lung cancer. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed using Stata 12.0 software. ResultsFifteen studies involving 2 015 lung cancer patients and 15 505 controls were finally included. The results of meta-analysis showed that the total HDL-C level in the lung cancer group was lower than that in the control group (SMD=-0.68, 95%CI-0.97 to -0.40, P=0.000). Further subgroup analysis showed that the incidence of lung cancer of different clinical classification (SMDⅠ~Ⅱ=-0.65, 95%CI -1.07 to -0.23, P=0.002; SMDⅢ~Ⅳ=-0.61, 95%CI -0.73 to -0.50, P=0.000), different pathological types (the small cell lung cancer excluded) (SMDAC=-0.76, 95%CI -1.13 to -0.38, P=0.000; SMDSC=-1.51, 95%CI -2.47 to -0.56, P=0.010; SMDSCLC=-1.19, 95%CI -1.42 to -0.95, P=0.000), different quality scores (SMD≥6 score=-0.60, 95%CI -0.89 to -0.29, P=0.000; SMD< 6 score=-0.77, 95%CI -1.48 to -0.0, P=0.015), the number of different studies (SMD≥100 cases=-0.48, 95%CI -0.80 to -0.15, P=0.004; SMD< 100 cases=-0.80, 95%CI -1.33 to -0.27, P=0.003), smoking (SMD=-1.47, 95%CI -2.51 to -0.43, P=0.006) and Asia (SMD=-0.92, 95%CI -1.21 to -0.63, P=0.000) was correlated with the level of HDL-C. ConclusionThe level of HDL-C is related to the incidence of lung cancer, and low HDL-C level may increase the risk of lung cancer. In view of the limitations of the studies, the above conclusions need a great many large samples and adjust the smoking status of the prospective cohort study at home and abroad to verify.

    Release date:2016-11-22 01:14 Export PDF Favorites Scan
  • Adaptive Cardiopulmonary Resuscitation Artifacts Elimination Algorithm Based on Empirical Mode Decomposition and Independent Component Analysis

    Artifacts produced by chest compression during cardiopulmonary resuscitation (CPR) seriously affect the reliability of shockable rhythm detection algorithms. In this paper, we proposed an adaptive CPR artifacts elimination algorithm without needing any reference channels. The clean electrocardiogram (ECG) signals can be extracted from the corrupted ECG signals by incorporating empirical mode decomposition (EMD) and independent component analysis (ICA). For evaluating the performance of the proposed algorithm, a back propagation neural network was constructed to implement the shockable rhythm detection. A total of 1 484 corrupted ECG samples collected from pigs were included in the analysis. The results of the experiments indicated that this method would greatly reduce the effects of the CPR artifacts and thereby increase the accuracy of the shockable rhythm detection algorithm.

    Release date:2016-10-24 01:24 Export PDF Favorites Scan
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