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血小板-淋巴细胞和中性粒细胞-淋巴细胞比值预测腹部创伤患者的住院结局。

Platelet-Lymphocyte and Neutrophil-Lymphocyte Ratio for Prediction of Hospital Outcomes in Patients with Abdominal Trauma.

机构信息

Department of Surgery, Clinical Research, Trauma & Vascular Surgery, Hamad General Hospital, Doha, Qatar.

Department of Clinical Medicine, Weill Cornell Medical College, Doha, Qatar.

出版信息

Biomed Res Int. 2022 Feb 7;2022:5374419. doi: 10.1155/2022/5374419. eCollection 2022.

Abstract

BACKGROUND

The platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) reflect the patient inflammatory and immunity status. We investigated the role of on-admission PLR and NLR in predicting massive transfusion protocol (MTP) activation and mortality following abdominal trauma.

METHODS

A 4-year retrospective analysis of all adult abdominal trauma patients was conducted. Patients were classified into survivors and nonsurvivors and low vs. high PLR. The discriminatory power for PLR and NLR to predict MTP and mortality was determined. Multivariate logistic regression analysis was performed for predictors of mortality.

RESULTS

A total of 1199 abdominal trauma patients were included (18.7% of all the trauma admissions). Low PLR was associated with more severe injuries and greater rates of hospital complications including mortality in comparison to high PLR. On-admission PLR and NLR were higher in the survivors than in nonsurvivors (149.3 vs. 76.3 ( = 0.001) and 19.1 vs. 13.7 ( = 0.009), respectively). Only PLR significantly correlated with injury severity score, revised trauma score, TRISS, serum lactate, shock index, and FASILA score. Optimal cutoffs of PLR and NLR for predicting mortality were 98.5 and 18.5, respectively. The sensitivity and specificity of PLR were 81.3% and 61.1%, respectively, and 61.3% and 51.3%, respectively, for NLR. The AUROC for predicting MTP was 0.69 (95% CI: 0.655-0.743) for PLR and 0.55 (95% CI: 0.510-0.598) for NLR. To predict hospital mortality, the area under the curve (AUROC) for PLR was 0.77 (95% CI: 0.712-0.825) and 0.59 (95% CI: 0.529-0.650) for the NLR. On multivariate logistic regression analysis, the age, Glasgow Coma Scale, sepsis, injury severity score, and PLR were independent predictors of mortality.

CONCLUSION

On-admission PLR but not NLR helps early risk stratification and timely management and predicts mortality in abdominal trauma patients. Further prospective studies are required.

摘要

背景

血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)反映了患者的炎症和免疫状态。我们研究了入院时 PLR 和 NLR 在预测腹部创伤后大量输血方案(MTP)激活和死亡率中的作用。

方法

对所有成年腹部创伤患者进行了 4 年的回顾性分析。将患者分为幸存者和非幸存者,以及低 PLR 与高 PLR。确定 PLR 和 NLR 对预测 MTP 和死亡率的区分能力。对死亡率的预测因素进行多变量逻辑回归分析。

结果

共纳入 1199 例腹部创伤患者(占所有创伤入院患者的 18.7%)。与高 PLR 相比,低 PLR 与更严重的损伤和更高的医院并发症发生率相关,包括死亡率。与非幸存者相比,幸存者的入院时 PLR 和 NLR 更高(149.3 vs. 76.3,= 0.001 和 19.1 vs. 13.7,= 0.009)。只有 PLR 与损伤严重程度评分、修订创伤评分、TRISS、血清乳酸、休克指数和 FASILA 评分显著相关。预测死亡率的 PLR 和 NLR 的最佳截断值分别为 98.5 和 18.5。PLR 的灵敏度和特异性分别为 81.3%和 61.1%,NLR 分别为 61.3%和 51.3%。PLR 预测 MTP 的 AUROC 为 0.69(95%CI:0.655-0.743),NLR 为 0.55(95%CI:0.510-0.598)。预测医院死亡率时,PLR 的曲线下面积(AUROC)为 0.77(95%CI:0.712-0.825),NLR 为 0.59(95%CI:0.529-0.650)。多变量逻辑回归分析显示,年龄、格拉斯哥昏迷量表、脓毒症、损伤严重程度评分和 PLR 是死亡率的独立预测因素。

结论

入院时的 PLR 而非 NLR 有助于早期风险分层和及时管理,并预测腹部创伤患者的死亡率。需要进一步的前瞻性研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5278/8844345/aa16ef7e0c67/BMRI2022-5374419.001.jpg

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