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Objective@#To explore the possible types of patients with gastric cancer undergoing chemotherapy based on their experience with the symptom cluster of pain, fatigue, sleep disturbance.@*Methods@#Totally 161 gastric cancer patients were investigated by the demographic and clinical characteristics questionnaire, the Numeric Rating Scale (NRS), the Brief Fatigue Inventory (BFI), the Pittsburgh Sleep Quality Index (PSQI), Quality of Life Questionnaires (QLICP-ST). Cluster analysis using SPSS 22.0 version was performed to categorize patients.@*Results@#Four different types of patients were got through cluster analysis. Type Ⅰ patients showed all low symptoms (23 cases accounted for 14.3%), Type Ⅱ patients showed low pain and moderate fatigue (43 cases accounted for 26.7%), Type Ⅲ patients showed low pain and high fatigue (62 cases accounted for 38.5%), Type Ⅳ patients performed moderate-to-high on all symptoms (33 cases accounted for 20.5%). Their education status, chemotherapy cycle sand KPS score were the main factor influencing the classification of pain-fatigue-sleep disorder symptoms in patients with gastric cancer undergoing chemotherapy after operation (χ2=13.873, 26.442, F=3.193, P<0.05 or 0.01). Type Ⅳ tended to have higher education level, lower KPS score and later stage of chemotherapy. Furthermore, patients in moderate-to-high class had significantly lower quality of life score than all low class (F=10.552, P <0.01).@*Conclusion@#In this research, patients with gastric cancer undergoing chemotherapy were divided into 4 types based on their experience with the symptom cluster of pain, fatigue and sleep disturbance. It could provide basis for effectively screening and implementing measures for symptoms management.
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Objective To explore the possible types of patients with gastric cancer undergoing chemotherapy based on their experience with the symptom cluster of pain, fatigue, sleep disturbance. Methods Totally 161 gastric cancer patients were investigated by the demographic and clinical characteristics questionnaire, the Numeric Rating Scale (NRS), the Brief Fatigue Inventory (BFI), the Pittsburgh Sleep Quality Index (PSQI), Quality of Life Questionnaires (QLICP-ST). Cluster analysis using SPSS 22.0 version was performed to categorize patients. Results Four different types of patients were got through cluster analysis. Type Ⅰpatients showed all low symptoms (23 cases accounted for 14.3%), TypeⅡpatients showed low pain and moderate fatigue (43 cases accounted for 26.7%), TypeⅢpatients showed low pain and high fatigue (62 cases accounted for 38.5%), TypeⅣpatients performed moderate-to-high on all symptoms (33 cases accounted for 20.5% ). Their education status, chemotherapy cycle sand KPS score were the main factor influencing the classification of pain-fatigue-sleep disorder symptoms in patients with gastric cancer undergoing chemotherapy after operation (χ2=13.873, 26.442, F=3.193, P<0.05 or 0.01). Type Ⅳ tended to have higher education level, lower KPS score and later stage of chemotherapy. Furthermore, patients in moderate-to-high class had significantly lower quality of life score than all low class (F=10.552, P <0.01). Conclusion In this research, patients with gastric cancer undergoing chemotherapy were divided into 4 types based on their experience with the symptom cluster of pain, fatigue and sleep disturbance. It could provide basis for effectively screening and implementing measures for symptoms management.
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Objective:To find the reasons for the low dissolution of clarithromycin tablets and study the interference from filter film adsorption at various time points to explore the appropriate processing approach for dissolution solution of clarithromycin tablets. Meth-ods:Clarithromycin tablets from two different manufacturers were used. The dissolution solution was prepared according to Japanese Orange Book. The dissolution was determined after different processing and the adsorption rate of the filter film was calculated. Re-sults:Totally 14 kinds of filter films were tested with different adsorption for clarithromycin, and the adsorption rate of some kinds of filter films exceeded the prescribed limit. Conclusion:The absorption rate of filter films for clarithromycin can be decreased by boiling the films and using American membranes. The interference from filter film adsorption can be reduced and inhibited by rejecting the first filtrate above 5ml or centrifuging dissolution solution.