[急诊科社区获得性肺炎诊断与治疗的自动酸碱制图研究]。

Xu-feng Yang, Hai-rong Wang, Jin-hua Gu, Jian Jiang, Shuming Pan
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引用次数: 1

摘要

目的分析自动酸碱制图在急诊科社区获得性肺炎(CAP)诊治中的价值。方法根据病史、肺功能检查、慢性阻塞性肺疾病(COPD)诊断指南,将111例慢性阻塞性肺疾病(CAP)患者分为单独CAP组(n=56)和COPD合并CAP组[慢性阻塞性肺疾病急性加重(AECOPD)组,n=55]。在询问病史后,抽取动脉血样进行血气分析和自动酸碱制图分析。结果AECOPD组动脉二氧化碳分压(PaCO(2))、HCO(3)(-)、碱过量均明显高于CAP组(PaCO(2): 7.714±2.414 kPa比5.896±1.308 kPa, HCO(3)(-): 30.767±7.185 mmol/L比25.014±3.043 mmol/L, BE: 4.345±5.371 mmol/L比-0.354±3.180 mmol/L, P均<0.01)。自动酸碱图谱显示,AECOPD组酸碱紊乱率为89.1%,CAP组为66.1%。AECOPD组与CAP组正常(10.9%,33.9%)、急性呼吸性酸中毒(12.7%,14.3%)、慢性呼吸性酸中毒(49.1%,10.7%)、呼吸性碱中毒(7.3%,14.3%)、代谢性酸中毒(12.7%,17.9%)、代谢性碱中毒(12.7%,8.9%)患者进行卡方分析,AECOPD组与单一CAP组比较差异有统计学意义(χ (2)=24.421, P=0.001)。对正常、急性呼吸性酸中毒、呼吸性碱中毒、代谢性酸中毒、代谢性碱中毒患者进行高级卡方分析,差异无统计学意义(χ (2)=5.280, P=0.260)。结果表明,慢性呼吸性酸中毒在AECOPD患者中的发生率高于单一CAP患者。结论自动酸碱图谱可帮助急诊医师快速识别CAP患者的多重酸碱紊乱,及时识别呼吸系统疾病的急、慢性期。
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[Study of automated acid-base mapping on diagnose and treatment of community acquired pneumonia in emergency department].
OBJECTIVE To analyze the value of automated acid-base mapping on diagnose and treatment of patients with community acquired pneumonia (CAP) in emergency department. METHODS According to medical history, pulmonary function test, diagnosing guideline of chronic obstructive pulmonary disease (COPD), 111 patients with CAP were divided into two groups: single CAP group (n=56) and COPD complicated with CAP group [acute exacerbation of chronic obstructive pulmonary disease (AECOPD) group, n=55]. After enquiring medical history, arterial blood samples were drawn for blood gas analysis and automated acid-base mapping was analyzed. RESULTS Arterial blood gas analysis showed arterial carbon dioxide partial pressure (PaCO(2)), HCO(3)(-), base excess of AECOPD group were obviously higher than those in CAP group (PaCO(2): 7.714±2.414 kPa vs. 5.896±1.308 kPa, HCO(3)(-): 30.767±7.185 mmol/L vs. 25.014±3.043 mmol/L, BE: 4.345±5.371 mmol/L vs. -0.354±3.180 mmol/L, all P<0.01). Automated acid-base mapping showed acid-base disturbance of AECOPD group was 89.1% and CAP group was 66.1%. Chi-square analysis were done for patients of normal (10.9%, 33.9%), acute respiratory acidosis (12.7%, 14.3%), chronic respiratory acidosis (49.1%, 10.7%), respiratory alkalosis (7.3%, 14.3%), metabolic acidosis (12.7%, 17.9%), metabolic alkalosis (12.7%, 8.9%) between AECOPD group and CAP group, and statistical significance was found between AECOPD group and single CAP group (χ (2)=24.421, P=0.001). Advanced Chi-square analysis for patients of normal, acute respiratory acidosis, respiratory alkalosis, metabolic acidosis, metabolic alkalosis were done and showed no statistical difference (χ (2)=5.280, P=0.260). It is indicated chronic respiratory acidosis occurrences rate in AECOPD patients was higher than single CAP patients. CONCLUSIONS Our study demonstrated that automated acid-base mapping may be helpful for emergency physician to rapidly recognize multi-acid-base disturbance in patients with CAP, and to promptly identify acute or chronic phase of respiratory disease.
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