1.民航总医院急诊内科 北京 100020
2.首都医科大学附属北京安贞医院急诊危重症中心 北京 100029
曹煜晴,女,1991—,医学硕士生,住院医师,主要从事冠状动脉粥样硬化心脏病、急性冠脉综合征方面研究,E‑mail:c1330256111@126.com。
收稿:2026-01-22,
网络首发:2026-10-28,
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曹煜晴, 张露伟, 彭春霞, 等. 血清sICAM‑1、Metrnl、BAR对糖尿病酮症酸中毒患者病情程度的评估价值[J/OL]. 武汉大学学报(医学版), 2026,1-5.
CAO Yuqing, ZHANG Luwei, PENG Chunxia, et al. Value of serum sICAM‑1, Metrnl, and BAR in assessing disease severity of diabetic ketoacidosis[J/OL]. Medical Journal of Wuhan University, 2026, 1-5.
曹煜晴, 张露伟, 彭春霞, 等. 血清sICAM‑1、Metrnl、BAR对糖尿病酮症酸中毒患者病情程度的评估价值[J/OL]. 武汉大学学报(医学版), 2026,1-5. DOI: 10.14188/j.1671-8852.2026.0124.
CAO Yuqing, ZHANG Luwei, PENG Chunxia, et al. Value of serum sICAM‑1, Metrnl, and BAR in assessing disease severity of diabetic ketoacidosis[J/OL]. Medical Journal of Wuhan University, 2026, 1-5. DOI: 10.14188/j.1671-8852.2026.0124.
目的
2
探究血清可溶性细胞间黏附分子‑1(sICAM‑1)、镍纹样蛋白(Metrnl)、血尿素氮与血清白蛋白比值(BAR)对糖尿病酮症酸中毒(DKA)患者病情程度的评估价值。
方法
2
选择2022年7月—2025年7月民航总医院收治的101例DKA患者为DKA组,101例单纯2型糖尿病(T2DM)和101例体检健康者分别为T2DM组和NC组。检测所有研究对象血清sICAM‑1、Metrnl、BAR水平;Spearman相关性分析血清指标与病情程度的相关性;有序多因素Logistic回归模型筛选病情程度的影响因素;ROC曲线分析血清指标对重度DKA的评估价值。
结果
2
NC组、T2DM组、DKA组相比,FBG、HbA1c、血清sICAM‑1和BAR水平依次升高;Metrnl水平依次降低(
P
<
0.05);血清sICAM‑1和BAR随病情程度加重依次升高,血清Metrnl依次降低(
P
<
0.05);DKA患者血清sICAM‑1、BAR与病情程度分别呈正相关(
P
<
0.05),血清Metrnl与病情程度呈负相关(
P
<
0.05);血清sICAM‑1、BAR、Metrnl均是DKA患者病情程度的影响因素(
P
<
0.05);血清sICAM‑1、Metrnl、BAR联合评估重度DKA的曲线下面积(
AUC
)显著优于单独评估(
Z
=2.143、2.274、2.165,
P
<
0.05)。
结论
2
DKA患者血清sICAM‑1、BAR上调,Metrnl下调,对重度DKA有良好评估效能。
Objective
2
To explore the evaluation value of serum soluble intercellular adhesion molecule‑1 (sICAM‑1)
Meteorin‑like protein (Metrnl)
and the ratio of blood urea nitrogen to serum albumin (BAR) for the severity of diabetic ketoacidosis (DKA).
Methods
2
A total of 101 DKA patients admitted to the General Hospital of Civil Aviation from July 2022 to July 2025 were selected as the DKA group
and 101 patients with simple type 2 diabetes mellitus (T2DM) and 101 healthy individuals undergoing physical check ups were respectively selected as the T2DM group and control (NC) group. The serum levels of sICAM‑1
Metrnl
and BAR in all study subjects were detected. Spearman correlation analysis was used to analyze the correlation between serum indicators and disease severity. Ordinal multivariate Logistic regression model was applied to screen the influencing factors of disease severity. ROC curve analysis was performed to evaluate the value of serum indicators in assessing severe DKA.
Results
2
Compared with the NC group
T2DM group
and DKA group
levels of FBG
HbA1c
serum sICAM‑1
and BAR were progressively higher
while Metrnl levels were progressively lower (
P
<
0.05). Serum sICAM‑1 and BAR were gradually elevated with the aggravation of disease severity
and serum Metrnl was gradually decreased (
P
<
0.05). Serum sICAM‑1 and BAR in DKA patients were positively correlated with the severity of the disease respectively (
P
<
0.05)
and serum Metrnl was negatively correlated with the severity of the disease (
P
<
0.05). Serum sICAM‑1
BAR and Metrnl were all independent influencing factors for disease severity in DKA patients (
P
<
0.05). The
A
UC value for the combined assessment of severe DKA u
sing sICAM⁃1
Metrnl
and BAR was significantly greater than those for the single⁃marker assessments (
Z
=2.143
2.274
and 2.165
respectively;
P
<
0.05).
Conclusion
2
Serum sICAM‑1 and BAR were up‑regulated while Metrnl was down‑regulated in DKA patients
all of which exhibited good predictive efficacy for severe DKA.
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