BACKGROUND Depression has been reported to be prevalent in patients with pulmonary tuberculosis(PTB).Moreover,several clinical symptoms of PTB and depression overlap,such as loss of appetite and malnutrition.However,t...BACKGROUND Depression has been reported to be prevalent in patients with pulmonary tuberculosis(PTB).Moreover,several clinical symptoms of PTB and depression overlap,such as loss of appetite and malnutrition.However,the association between depression and malnutrition in TB patients has not been fully elucidated.AIM To explore the association between depression and malnutrition in patients with PTB.METHODS This hospital-based cross-sectional study included patients with PTB in Shanghai Pulmonary Hospital Affiliated to Tongji University from April 2019 to July 2019.The Patient Health Questionnaire-9(PHQ-9)scale was used to evaluate depression.The cut-off value was set at 10,and the nutritional state was determined by the body mass index(BMI).In addition,the Quality of Life Instruments for Chronic Diseases was employed to establish the quality of life(QOL).Univariable analysis and multivariable analysis(forward mode)were implemented to identify the independent factors associated with depression.RESULTS A total of 328 PTB patients were screened for analysis.Eight were excluded for missing demographic data,four excluded for missing nutrition status,and sixteen for missing QOL data.Finally,300 PTB patients were subjected to analysis.We found that depressive state was present in 225 PTB patients(75%).The ratio of malnutrition in the depressive PTB patients was 45.33%.Our results revealed significantly lower BMI,hemoglobin,and prealbumin in the depression group than in the control group(P<0.05).Moreover,the social status differed significantly(P<0.05)between the groups.In addition,glutamic pyruvic transaminase and glutamic oxaloacetic transaminase in the depression group were significantly higher than those in the control group(P<0.05).Multivariable logistic regression analysis showed that BMI[odds ratio(OR)=1.21,95%confidence interval(CI):1.163-1.257,P<0.001]and poor social function(OR=0.95,95%CI:0.926-0.974,P=0.038)were independently associated with depression.CONCLUSION Malnutrition and poor social function are significantly associated with depressive symptoms in PTB patients.A prospective large-scale study is needed to confirm these findings.展开更多
The classification of thematic mapper imagery in areas with strong topographic variations has proven problematic in the past using a single classifier, due to the changing sun illumination geometry. This often results...The classification of thematic mapper imagery in areas with strong topographic variations has proven problematic in the past using a single classifier, due to the changing sun illumination geometry. This often results in the phenomena of identical object with dissimilar spectrum and different objects with similar spectrum. In this paper, an integrated classification method that combines a decision tree with slope data, tasseled cap transformation indices and maximum likelihood classifier is introduced, to find an optimal classification method for thematic mapper imagery of plain and highland terrains. A Landsat 7 ETM+ image acquired over Hangzhou Bay, in eastern China was used to test the method. The results indicate that the performance of the inte- grated classifier is acceptably good in comparison with that of the existing most widely used maximum likelihood classifier. The integrated classifier depends on hypsography (variation in topography) and the characteristics of ground truth objects (plant and soil). It can greatly reduce the influence of the homogeneous spectrum caused by topographic variation. This integrated classifier might potentially be one of the most accurate classifiers and valuable tool for land cover and land use mapping of plain and highland terrains.展开更多
文摘BACKGROUND Depression has been reported to be prevalent in patients with pulmonary tuberculosis(PTB).Moreover,several clinical symptoms of PTB and depression overlap,such as loss of appetite and malnutrition.However,the association between depression and malnutrition in TB patients has not been fully elucidated.AIM To explore the association between depression and malnutrition in patients with PTB.METHODS This hospital-based cross-sectional study included patients with PTB in Shanghai Pulmonary Hospital Affiliated to Tongji University from April 2019 to July 2019.The Patient Health Questionnaire-9(PHQ-9)scale was used to evaluate depression.The cut-off value was set at 10,and the nutritional state was determined by the body mass index(BMI).In addition,the Quality of Life Instruments for Chronic Diseases was employed to establish the quality of life(QOL).Univariable analysis and multivariable analysis(forward mode)were implemented to identify the independent factors associated with depression.RESULTS A total of 328 PTB patients were screened for analysis.Eight were excluded for missing demographic data,four excluded for missing nutrition status,and sixteen for missing QOL data.Finally,300 PTB patients were subjected to analysis.We found that depressive state was present in 225 PTB patients(75%).The ratio of malnutrition in the depressive PTB patients was 45.33%.Our results revealed significantly lower BMI,hemoglobin,and prealbumin in the depression group than in the control group(P<0.05).Moreover,the social status differed significantly(P<0.05)between the groups.In addition,glutamic pyruvic transaminase and glutamic oxaloacetic transaminase in the depression group were significantly higher than those in the control group(P<0.05).Multivariable logistic regression analysis showed that BMI[odds ratio(OR)=1.21,95%confidence interval(CI):1.163-1.257,P<0.001]and poor social function(OR=0.95,95%CI:0.926-0.974,P=0.038)were independently associated with depression.CONCLUSION Malnutrition and poor social function are significantly associated with depressive symptoms in PTB patients.A prospective large-scale study is needed to confirm these findings.
文摘The classification of thematic mapper imagery in areas with strong topographic variations has proven problematic in the past using a single classifier, due to the changing sun illumination geometry. This often results in the phenomena of identical object with dissimilar spectrum and different objects with similar spectrum. In this paper, an integrated classification method that combines a decision tree with slope data, tasseled cap transformation indices and maximum likelihood classifier is introduced, to find an optimal classification method for thematic mapper imagery of plain and highland terrains. A Landsat 7 ETM+ image acquired over Hangzhou Bay, in eastern China was used to test the method. The results indicate that the performance of the inte- grated classifier is acceptably good in comparison with that of the existing most widely used maximum likelihood classifier. The integrated classifier depends on hypsography (variation in topography) and the characteristics of ground truth objects (plant and soil). It can greatly reduce the influence of the homogeneous spectrum caused by topographic variation. This integrated classifier might potentially be one of the most accurate classifiers and valuable tool for land cover and land use mapping of plain and highland terrains.
