首页|白细胞衍生标志物在预测心脏瓣膜手术患者术后谵妄中的作用

白细胞衍生标志物在预测心脏瓣膜手术患者术后谵妄中的作用

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目的 探讨白细胞衍生标志物能否作为预测心脏瓣膜手术患者术后谵妄(POD)的潜在标志物。方法 采用前瞻性队列研究方法,选择 2021 年 10 月至 2023 年 3 月于首都医科大学附属北京安贞医院接受心脏瓣膜手术的患者。收集患者人口统计学、基线数据及围手术期数据,并计算术前及术后24h内中性粒细胞/淋巴细胞比值(NLR)和血小板/白细胞比值(PWR)。对术后 1~5 d或 5d内出院的患者每天进行 2 次谵妄评估,依据评估结果分为谵妄组和非谵妄组。比较两组患者的临床指标;采用多因素Logistic回归分析筛选POD的独立危险因素,并构建POD预测模型;通过受试者工作特征曲线(ROC曲线)评估POD预测模型的预测价值。结果 共 235 例患者纳入最终分析,其中 83 例患者发生POD(占 35。32%),152 例未发生POD(占 64。68%)。与非谵妄组比较,谵妄组患者查尔森合并症指数(CCI)评分更高,简易精神状态检查量表(MMSE)评分更低;在围手术期资料方面,与非谵妄组比较,谵妄组患者手术时间、体外循环时间、重症监护病房(ICU)住院时间、机械通气时间、术后住院时间更长,围手术期心房颤动(房颤)发生率更高,出院生活评分更低;在白细胞衍生标志物方面,两组患者术后24h内NLR均较术前明显升高,PWR均较术前明显降低;且谵妄组患者术后24h内NLR、NLR差值及PWR差值均明显高于非谵妄组。多因素Logistic回归分析显示,CCI评分[优势比(OR)=1。394,95%可信区间(95%CI)为1。038~1。872,P=0。027]、围手术期房颤(OR=3。697,95%CI为1。711~7。990,P<0。001)、体外循环时间(OR=1。008,95%CI为1。002~1。015,P=0。016)、ICU住院时间(OR=1。006,95%CI为1。002~1。010,P=0。002)、NLR差值(OR=1。029,95%CI为1。009~1。050,P=0。005)、PWR差值(OR=1。044,95%CI为1。009~1。080,P=0。013)均与POD独立相关;根据多因素Logistic回归分析结果构建POD预测模型:POD预测模型指数=-4。970+0。336×CCI评分+1。317×围手术期房颤+0。009×体外循环时间+0。006×ICU住院时间+0。030×NLR差值+0。044×PWR差值。ROC曲线分析显示,NLR差值预测POD的ROC曲线下面积(AUC)为 0。659(95%CI为0。583~0。735),最佳临界值为16。62,敏感度为60。2%,特异度为70。4%(P<0。05);PWR差值预测POD的AUC为0。608(95%CI为0。528~0。688),最佳临界值为25。68,敏感度为51。8%,特异度为75。7%(P<0。05);POD预测模型预测POD的AUC为0。805(95%CI为0。745~0。865),最佳临界值为0。39,敏感度为74。7%,特异度为79。6%(P<0。05)。结论 NLR差值和PWR差值均与心脏瓣膜手术患者POD独立相关,在预测此类患者POD方面具有潜在价值。
Predictive value of leukocyte derived markers for postoperative delirium after cardiac valve surgery
Objective To explore the predictive value of leukocyte derived markers for postoperative delirium(POD)in patients undergoing cardiac valve surgery.Methods A prospective cohort study was conducted.The patients who underwent cardiac valve surgery admitted to Beijing Anzhen Hospital of Capital Medical University from October 2021 to March 2023 were enrolled.The demographic,baseline and perioperative data were collected,and the neutrophil to lymphocyte ratio(NLR)and platelet to white blood cell ratio(PWR)were calculated before operation and within 24 hours after operation.Delirium assessment was conducted twice a day for patients within 1-5 days after surgery or discharged within 5 days.According to the evaluation results,the patients were divided into delirium group and non-delirium group.The clinical indexes between the two groups were compared.Multivariate Logistic regression analysis was used to screen the independent risk factors of POD,and the POD predictive model was constructed.The predictive value of POD predictive model was evaluated by receiver operator characteristic curve(ROC curve).Results A total of 235 patients were enrolled in the analysis,of which 83 patients had POD(35.32%)and 152 patients did not have POD(64.68%).Compared with the non-delirious group,the patients in the delirious group had higher Charlson comorbidity index(CCI)score and lower mini-mental state examination(MMSE)score.In terms of perioperative data,compared with the non-delirium group,the patients in the delirium group had longer operative time,duration of cardiopulmonary bypass,length of intensive care unit(ICU)stay,duration of mechanical ventilation,and postoperative hospital stay,higher incidence of perioperative atrial fibrillation,and lower discharge life score.In terms of leukocyte derived markers,NLR within 24 hours after surgery in both groups were significantly higher than those before surgery,and PWR were significantly lower than those before surgery.The NLR within 24 hours after surgery,PWR difference and NLR difference in the delirium group were significantly higher than those in the non-delirium group.Multivariate Logistic regression analysis showed that CCI score[odds ratio(OR)=1.394,95%confidence interval(95%CI)was 1.038-1.872,P=0.027],perioperative atrial fibrillation(OR=3.697,95%CI was 1.711-7.990,P<0.001),duration of cardiopulmonary bypass(OR=1.008,95%CI was 1.002-1.015,P=0.016),length of ICU stay(OR=1.006,95%CI was 1.002-1.010,P=0.002),NLR difference(OR=1.029,95%CIwas 1.009-1.050,P=0.005)and PWR difference(OR=1.044,95%CIwas 1.009-1.080,P=0.013)were independently correlated with POD.POD predictive model was constructed by multivariate Logistic regression analysis result:POD predictive model index=-4.970+0.336×CCI score+1.317×perioperative atrial fibrillation+0.009×duration of cardiopulmonary bypass+0.006×length of ICU stay+0.030×NLR difference+0.044×PWR difference.ROC curve analysis showed that the area under the ROC curve(AUC)of NLR difference for predicting POD was 0.659(95%CI was 0.583-0.735),the optimal critical value was 16.62,the sensitivity was 60.2%,and the specificity was 70.4%(P<0.05).The AUC of PWR difference for predicting POD was 0.608(95%CI was 0.528-0.688),the optimal critical value was 25.68,the sensitivity was 51.8%,and the specificity was 75.7%(P<0.05).The AUC of POD predictive model for predicting POD was 0.805(95%CI was 0.745-0.865),the optimal critical value was 0.39,the sensitivity was 74.7%,and the specificity was 79.6%(P<0.05).Conclusion The differences of NLR and PWR are independently related to POD,which has potential value in predicting POD after cardiac valve surgery.

Postoperative deliriumNeutrophil to lymphocyte ratioPlatelet to white blood cell ratioCardiac valve surgery

张心恬、葛彦虎、张冬妮、马骏

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首都医科大学附属北京安贞医院麻醉科,北京 100029

术后谵妄 中性粒细胞/淋巴细胞比值 血小板/白细胞比值 心脏瓣膜手术

国家自然科学基金

82372191

2024

中华危重病急救医学
中华医学会

中华危重病急救医学

CSTPCD北大核心
影响因子:3.049
ISSN:2095-4352
年,卷(期):2024.36(7)