| 陈玲,夏红强,崔思玲,等.血清 PGRN、PSGL-1水平对重症肺部感染病人生存预后的预测价值[J].安徽医药,2026,30(8):1646-1650. |
| 血清 PGRN、PSGL-1水平对重症肺部感染病人生存预后的预测价值 |
| Predictive value of serum PGRN and PSGL-1 levels for the survival prognosis of patients with severe pulmonary infection |
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| DOI：10.3969/j.issn.1009-6469.2026.08.032 |
| 中文关键词: 肺部感染 颗粒蛋白前体 P-选择素糖蛋白配体 1 预后 急性生理学和慢性健康状况评价 Ⅱ(APACHEⅡ) |
| 英文关键词: Pulmonary infection Progranulin P-selectin glycoprotein ligand 1 Prognosis Acute physiology and chronic health evaluationⅡ(APACHEⅡ) |
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| 中文摘要: |
| 目的探究血清颗粒蛋白前体( PGRN)、 P-选择素糖蛋白配体 1(PSGL-1)水平对重症肺部感染病人生存预后的预测价值。方法前瞻性选取 2020年 3月至 2023年 3月济南市第八人民医院收治的 108例重症肺部感染病人(感染组)以及在该院进行健康体检的 108例成年志愿者(健康组)。采用酶联免疫吸附分析检测血清 PGRN、PSGL-1水平。采用 Spearman相关性分析检验血清 PGRN、PSGL-1水平与肺炎严重程度( PSI)评分、急性生理学和慢性健康状况评价 Ⅱ(APACHEⅡ)评分的相关性；多因素 logistic回归及受试者操作特征曲线( ROC曲线)分析血清 PGRN、PSGL-1水平与预后的关系及其预测价值。结感染组血清 PGRN［( 108.95±27.82)μg/L比( 81.64±22.98)μg/L］、 PSGL-1［( 273.49±58.53)U/mL比( 216.65±51.92)U/mL］水平果均高于健康组( P<0.05)。死亡组血清 PGRN［( 124.62±28.46)μg/L比( 102.35±25.92)μg/L］、 PSGL-1［( 306.84±62.18)U/mL比(259.45±54.21)U/mL］水平均高于存活组( P<0.05)。死亡组 PSI评分、 APACHEⅡ评分均高于存活组( P<0.05)。重症肺部感染病人血清 PGRN、PSGL-1水平均与 PSI评分呈正相关( r=0.46、0.51，均 P<0.05)与 APACHEⅡ评分呈正相关( r=0.50、0.47，均 P<0.05)。多因素 logistic回归分析结果显示， PGRN、PSGL-1水平升高均为重症感染病人死亡的危险因素(P<0.05)。 ROC曲线显示， PGRN、PSGL-1联合预测重症肺部感染病人预后的曲线下面积( AUC)显著大于 PGRN单独预测的 AUC(Z=2.39，P=0.017)以及PSGL-1单独预测的 AUC(Z=2.32，P=0.020)。结论重症肺部感染病人血清 PGRN、PSGL-1水平升高，与病人预后有关，二者可作为预测重症肺部感染病人预后的生物指标。 |
| 英文摘要: |
| Objective To investigate the predictive value of serum levels of progranulin (PGRN) and P-selectin glycoprotein ligand 1 (PSGL-1) for survival prognosis of patients with severe pulmonary infection.Methods From March 2020 to March 2023, prospectiveselection of 108 severe pulmonary infection patients (infection group) admitted to The Eighth People's Hospital of Ji'nan and 108 adultvolunteers (healthy group) undergoing health examinations at the same hospital were selected for the study. Enzyme linked immunosor-bent assay (ELISA) was used to measure serum PGRN and PSGL-1 levels. Spearman correlation was used to assess the relationship be-tween serum PGRN and PSGL-1 levels and the pneumonia severity index (psi) score and the acute physiology and chronic health evalu-ation Ⅱ (APACHE Ⅱ) score. Multivariate logistic regression and receiver operating characteristic (ROC curve) curve analysis wereused to evaluate the relationship between serum PGRN and PSGL-1 levels and prognosis, and their predictive value.Results Serum levels of PGRN [(108.95±27.82) μg/L vs. (81.64±22.98) μg/L] and PSGL-1 [(273.49±58.53) U/mL vs. (216.65±51.92) U/mL] were sig-nificantly higher in the infection group than in the healthy group (P<0.05). Serum PGRN [(124.62±28.46) μg/L vs. (102.35±25.92) μg/ L] and PSGL-1 [(306.84±62.18) U/mL vs. (259.45±54.21) U/mL] were higher in the mortality group than in the survival group (P<0.05). The PSI scores and APACHEⅡ scores in the mortality group were both higher than those in the survival group (P<0.05). Serum PGRN and PSGL-1 levels in patients with severe pulmonary infection were positively correlated with PSI scores (r=0.46, 0.51, all P<0.05) and APACHE Ⅱ scores (r=0.50, 0.47, all P<0.05). Multivariate logistic regression analysis revealed that elevated levels of PGRN and PS-GL-1 were risk factors for mortality in patients with severe pulmonary infection (P<0.05). The ROC curve analysis showed that the area under the curve (AUC) of the combined use of PGRN and PSGL-1 for predicting the prognosis of patients with severe pulmonary infec-tion was significantly greater than that of PGRN alone (Z=2.39, P=0.017) and that of PSGL-1 alone (Z=2.32, P=0.020).Conclusion Elevated serum levels of PGRN and PSGL-1 in patients with severe pulmonary infection are associated with patient prognosis, both of which can serve as biomarkers for predicting the prognosis of patients with severe pulmonary infection. |
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