Sharma Bharti, Jiang Winston, Dhole Yashoda, Agriantonis George, Bhatia Navin D, Shafaee Zahra, Twelker Kate, Whittington Jennifer
Department of Surgery, NYC Health and Hospitals, Elmhurst Hospital Center, New York, NY 11373, USA.
Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY 10029, USA.
Biomedicines. 2024 Dec 6;12(12):2778. doi: 10.3390/biomedicines12122778.
Lactate is a byproduct of glycolysis, often linked to oxygen deprivation. This study aimed to examine how lactate levels (LLs) affect clinical outcomes in patients with severe TBI, hypothesizing that higher LLs would correlate with worse outcomes. : This is a level 1 single-center, retrospective study of patients with severe TBI between 1 January 2020 and 31 December 2023, inclusive. Single-factor ANOVA indicated a significant decrease in LLs with increasing age. Linear regression models showed the same for hospital admission, Intensive Care Unit (ICU) admission LLs, and death LLs. Prognostic scores such as Injury Severity Scores (ISS) and Glasgow Coma Score (GCS) showed a strong correlation with both Hospital admission and ICU admission LLs. ANOVA indicated higher LLs with increasing ISS and increasing LLs with decreasing GCS. Linear regressions revealed a strong positive correlation between ISS and LLs. On linear regression, the LL measured at hospital admission and ICU admission was positively associated with the length of stay (LOS) in the hospital, LOS in the ICU, ventilator days, and mortality. Linear regression models showed that a decreased delta LL during ICU admission led to an increased LOS at the hospital and the ICU, as well as a higher number of days on a ventilator. We discovered that high LLs were linked to higher AIS and GCS scores, longer stays in the hospital and ICU, more days requiring a ventilator, and higher mortality rates in patients with severe TBI. LLs can be considered a strong predictor of poor clinical outcomes in patients with severe TBI.
乳酸是糖酵解的副产物,常与缺氧有关。本研究旨在探讨乳酸水平(LLs)如何影响重度创伤性脑损伤(TBI)患者的临床结局,假设较高的LLs与较差的结局相关。这是一项一级单中心回顾性研究,研究对象为2020年1月1日至2023年12月31日(含)期间的重度TBI患者。单因素方差分析表明,随着年龄的增加,LLs显著降低。线性回归模型显示,入院时、重症监护病房(ICU)入院时的LLs以及死亡时的LLs情况相同。损伤严重程度评分(ISS)和格拉斯哥昏迷评分(GCS)等预后评分与入院时和ICU入院时的LLs均显示出强烈相关性。方差分析表明,随着ISS增加,LLs升高;随着GCS降低,LLs升高。线性回归显示ISS与LLs之间存在强正相关。在线性回归中,入院时和ICU入院时测得的LLs与住院时间(LOS)、ICU住院时间、呼吸机使用天数和死亡率呈正相关。线性回归模型显示,ICU入院期间LLs的下降幅度减小会导致在医院和ICU的住院时间增加,以及呼吸机使用天数增加。我们发现,高LLs与重度TBI患者的较高简明损伤定级(AIS)和GCS评分、更长的住院和ICU住院时间、更多的呼吸机使用天数以及更高的死亡率相关。LLs可被视为重度TBI患者不良临床结局的有力预测指标。