1.Influencing factors on the survival time in recurrent glioma after reoperation
Shoubin YIN ; Tongliang YANG ; Qi CHENG ; Pengfei HOU
Chinese Journal of Biochemical Pharmaceutics 2016;36(8):130-132
Objective To investigate the factors influencing the survival time of patients with recurrent glioma after reoperation.Methods 45 cases in our hospital due to recurrence cerebral glioma undergoing reoperation were selected, whose general data were retrospective analyzed, and the surgery conditions, postoperative complications, survival time and its influencing factors were analyzed.Results In 45 cases of recurrent cerebral glioma patients undergoing surgical treatment, 25 cases with total resection, 20 cases with subtotal resection, 3 cases with postoperative brain edema, 3 cases with pulmonary infection; and compared with pre-surgery, the Karnovsky performance status (KPS) score increased significantly (P <0.05); and postoperative survival time was ( 10.62 ±3.25 ) months, multi-factor regression analysis showed that recurrence lesion resection, preoperative KPS score, recurrent interval time and preoperative grading is the independent risk factors related to survival time(P<0.05).Conclusion Surgical treatment of recurrent cerebral glioma is of great significance, and aggressive surgical treatment could improve the quality of life, prolong the survival time and improve the quality of life.
2.Benign Prostatic Hyperplasia with tuberculosis
Rui JIANG ; Min CHENG ; Hongwei LI ; Tongliang CHENG
Journal of Clinical Urology 2001;16(1):11-12
Purpose:To explore the clinical features of benign prostate hypertrophy (BPH) with tuberculosis.Method:Retrospective analysis of 8 cases BPH with tuberculosis has been made.Results:6 cases underwent open surgery and 1 case was treated with antituberculosis therapy,and 1 cases was treated by TURP.6 cases were followed up for an average of 10.8 months.The therapeutic results were satisfactory.Conclusions:Clinically, BPH with tuberculosis was often mistaken for BPH or prostatic carcinoma, so attention should be paid to the differential diagnosis. The final diagnosis should rely on pathological examination.
3.Clinical pathway management of acute exacerbations of chronic obstructive pulmonary disease based on state machine
Jian TAN ; Liwei HAO ; Yuanxiong CHENG ; Tongliang XU ; Yingnuo SONG
Journal of Southern Medical University 2014;(4):568-570
We propose a clinical pathway of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) based on state machine. Clinical event-driven response was utilized to control workflow execution of the AECOPD clinical pathway. By comparison with the traditional clinical pathway management, clinical numerical results showed that the proposed method was better in hospitalization days, average hospitalization expense and aberration rate, and better handled the variability in the AECOPD clinical pathway execution.
4.Clinical pathway management of acute exacerbations of chronic obstructive pulmonary disease based on state machine
Jian TAN ; Liwei HAO ; Yuanxiong CHENG ; Tongliang XU ; Yingnuo SONG
Journal of Southern Medical University 2014;(4):568-570
We propose a clinical pathway of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) based on state machine. Clinical event-driven response was utilized to control workflow execution of the AECOPD clinical pathway. By comparison with the traditional clinical pathway management, clinical numerical results showed that the proposed method was better in hospitalization days, average hospitalization expense and aberration rate, and better handled the variability in the AECOPD clinical pathway execution.
5.Clinical pathway management of acute exacerbations of chronic obstructive pulmonary disease based on state machine.
Jian TAN ; Liwei HAO ; Yuanxiong CHENG ; Tongliang XU ; Yingnuo SONG
Journal of Southern Medical University 2014;34(4):568-570
We propose a clinical pathway of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) based on state machine. Clinical event-driven response was utilized to control workflow execution of the AECOPD clinical pathway. By comparison with the traditional clinical pathway management, clinical numerical results showed that the proposed method was better in hospitalization days, average hospitalization expense and aberration rate, and better handled the variability in the AECOPD clinical pathway execution.
Critical Pathways
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Humans
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Pulmonary Disease, Chronic Obstructive
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diagnosis
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nursing
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therapy