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400038 重庆,陆军军医大学(第三军医大学)第一附属医院老年医学与特勤医学科
[ 熊玮,E-mail:xiongwei64@126.com XIONG Wei, E-mail:xiongwei64@126.com
收稿:2020-06-22,
修回:2020-09-07,
纸质出版:2020-11-30
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胡雍军, 张俊鸿, 熊玮. 脓毒症患者血清降钙素原水平的影响因素分析[J]. 第三军医大学学报, 2020,42(22):2219-2223.
Yongjun HU, Junhong ZHANG, Wei XIONG. Analysis of influencing factors for serum procalcitonin level in septic patients[J]. Journal of Third Military Medical University, 2020, 42(22): 2219-2223.
胡雍军, 张俊鸿, 熊玮. 脓毒症患者血清降钙素原水平的影响因素分析[J]. 第三军医大学学报, 2020,42(22):2219-2223. DOI: 10.16016/j.1000-5404.202006211.
Yongjun HU, Junhong ZHANG, Wei XIONG. Analysis of influencing factors for serum procalcitonin level in septic patients[J]. Journal of Third Military Medical University, 2020, 42(22): 2219-2223. DOI: 10.16016/j.1000-5404.202006211.
目的
2
探究脓毒症患者血清降钙素原(procalcitonin,PCT)水平的影响因素。
方法
2
收集我院老年科、急诊科及ICU等科室2014年1月至2019年12月收治住院的526例(男性280例,女性246例)成年脓毒症患者病历资料,年龄18~91(53±19)岁,纳入治疗前(入院后24 h内)的临床相关资料进行分析。按照不同PCT水平分为:PCT正常组(
n
=153,
<
0.5 ng/mL)、PCT升高组(
n
=373,≥0.5 ng/mL),采用Logistic回归分析PCT水平的影响因素;进一步按照合并基础疾病情况分组,进行单因素方差分析,观察不同合并基础疾病组PCT水平的差异。
结果
2
多因素回归分析结果显示,脓毒症患者中合并基础疾病(
OR
=1.670
P
=0.033),白细胞计数(WBC)异常(
OR
=1.826
P
=0.006),呼吸频率增高(
OR
=2.149
P
=0.002),白蛋白降低(
OR
=2.197
P
=0.000),C反应蛋白(CRP)增高(
OR
=2.365
P
=0.003),脓毒性休克(
OR
=10.748
P
=0.005)等因素可能是PCT水平升高的危险因素;单因素方差分析显示,混合疾病组PCT水平高于高血压、冠心病、糖尿病及泌尿结石组(
P
<
0.05),糖尿病组PCT高于高血压及冠心病组(
P
<
0.05),泌尿结石组PCT高于高血压及冠心病组(
P
<
0.05)。
结论
2
合并基础疾病、低白蛋白及脓毒性休克可能是脓毒症患者血清PCT水平升高的危险因素,合并基础疾病种类及数量也可能影响血清PCT的升高水平。
Objective
2
To explore the influencing factors of serum procalcitonin (PCT) levels in patients with sepsis.
Methods
2
Medical records of 526 adult sepsis patients (280 males and 246 females) admitted in the geriatrics
emergency department and ICU of our hospital from January 2014 to December 2019
aged 18 to 91 (53 ±19) years old
were cdlected including clinical relevant data before treatment (within 24 h after admission) for analysis. According to different PCT levels
they were divided into: PCT normal group (
n
=153
<
0.5 ng/mL) and PCT elevated
group (
n
=373
≥0.5 ng/mL)
and logistic regression was used to analyze the influencing factors of PCT level. In combination with the underlying diseases of these patients
one-way analysis of variance
performed was to observe the differences in PCT levels in different combined underlying disease groups.
Results
2
The results of multivariate regression analysis showed that patients with sepsis were associated with underlying diseases (
OR
=1.670
P
=0.033)
white blood cell count (WBC) was abnormal (
OR
=1.826
P
=0.006)
and respiratory rate was increased (
OR
=2.149
P
=0.002)
decreased albumin (
OR
=2.197
P
=0.000)
increased C-reactive protein (CRP) (
OR
=2.365
P
=0.003)
septic shock (
OR
=10.748
P
=0.005) and other factors may be risk factors for elevated PCT levels; one-way analysis of variance showed that PCT levels in the mixed disease group were higher than those in the hypertension
coronary heart disease
diabetes and urinary calculi group (
P
<
0.05)
and the PCT in the diabetes group was higher than the hypertension and coronary heart disease groups (
P
<
0.05)
PCT in the urinary calculi group was higher than that in the hypertension and coronary heart disease groups (
P
<
0.05).
Conclusion
2
Comorbidities
low albumin
and septic shock may be the risk factors for elevated serum PCT levels in patients with sepsis. The types and number of comorbidities will also affect the elevated levels of serum PCT.
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