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对2013年6月至2014年5月,诊断为COPD的入住我院治疗的所有患者,进行基本信息、住院天数,入院第一天体温、脉搏、血常规以及电解质五项登记并录入Excel,导入SPSS19.0进行统计分析。结果 129例COPD患者,其中男性105例,占81.4%,平均年龄为(76.48±7)岁。通过Logistic回归多因素分析发现,不同住院天数的COPD患者入院时脉搏、呼吸频率和血钠离子有统计学差异。住院天数较多的患者入院时脉搏较快、呼吸频率较高、血钠离子偏低;将各临床指标按照临床正常值参考范围转化成分类变量后,再次进行多因素分析,显示同样结果。结论监测COPD患者呼吸频率、脉搏和血钠浓度,预测疾病的转归,根据结果制定治疗方案,可能缩短患者的住院时间。
From June 2013 to May 2014, all patients admitted to our hospital who had been diagnosed with COPD underwent basic information, days of hospitalization, body temperature, pulse, blood routine, and electrolytes on the first day of admission and entered into Excel and imported SPSS19.0 for statistical analysis. Results 129 cases of COPD patients, including 105 males, accounting for 81.4%, the average age was (76.48 ± 7) years. Logistic regression multivariate analysis found that patients with different days of hospitalization of COPD at admission pulse, respiratory rate and serum sodium were statistically different. Patients with more days of hospitalization had faster pulse rate, higher respiratory rate and lower serum sodium levels at hospital admission. After converting various clinical indicators into categorical variables according to the clinical normal reference range, multivariate analysis was performed again to show the same result. Conclusion Monitoring of respiratory rate, pulse rate, and serum sodium concentration in patients with COPD predicts the outcome of the disease, and developing a regimen based on the outcome may shorten the length of hospital stay.