{"title":"血清乳酸峰值作为维持生命治疗决策中即将死亡的可靠预测因子:一项73,927例患者的研究","authors":"Dong Jung Kim, Hyun Joo Kim, Hyoung Woo Chang","doi":"10.1177/00368504241311966","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The physician order for life-sustaining treatment has been implemented in clinical practice for several years. However, the determination that a patient is in the terminal phase of life, a prerequisite for the withdrawal of life-sustaining treatment, lacks objective criteria. This study aimed to evaluate whether hyperlactatemia could serve as a reliable objective indicator for determining the terminal phase.</p><p><strong>Methods: </strong>In this retrospective cohort study, we included 73,927 patients admitted to our institution from 2018 to 2023 who had at least one blood lactate measurement. We collected data on the highest blood lactate level measured during hospitalization, mortality, medical department, and intensive care unit (ICU) details. The primary endpoint was 30-day mortality, and we analyzed how well the highest lactate level during hospitalization predicted 30-day mortality across different age groups, medical departments, and ICUs.</p><p><strong>Results: </strong>Among the patients, 5493 died within 30 days of the maximum lactate measurement. The area under the receiver operating characteristic curve (AUROC) for predicting 30-day mortality based on the maximum lactate level was 0.870 (95% confidence interval [CI] 0.865-0.875) in all patients, indicating high accuracy. Setting the cutoff for the maximum lactate level at 20 mmol/L resulted in a precision of 87% and specificity of 99.8%. Subgroup analyses by age, medical department, and ICU yielded consistent results.</p><p><strong>Conclusions: </strong>Severe hyperlactatemia during hospitalization showed high precision and specificity for predicting 30-day mortality across various patient groups. These findings suggest that hyperlactatemia could serve as an objective auxiliary indicator for determining the terminal phase, potentially improving consistency in end-of-life decision-making in clinical practice.</p>","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":"108 1","pages":"368504241311966"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705305/pdf/","citationCount":"0","resultStr":"{\"title\":\"Peak serum lactate as a robust predictor of imminent death in life-sustaining treatment decisions: A study of 73,927 patients.\",\"authors\":\"Dong Jung Kim, Hyun Joo Kim, Hyoung Woo Chang\",\"doi\":\"10.1177/00368504241311966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The physician order for life-sustaining treatment has been implemented in clinical practice for several years. However, the determination that a patient is in the terminal phase of life, a prerequisite for the withdrawal of life-sustaining treatment, lacks objective criteria. This study aimed to evaluate whether hyperlactatemia could serve as a reliable objective indicator for determining the terminal phase.</p><p><strong>Methods: </strong>In this retrospective cohort study, we included 73,927 patients admitted to our institution from 2018 to 2023 who had at least one blood lactate measurement. We collected data on the highest blood lactate level measured during hospitalization, mortality, medical department, and intensive care unit (ICU) details. The primary endpoint was 30-day mortality, and we analyzed how well the highest lactate level during hospitalization predicted 30-day mortality across different age groups, medical departments, and ICUs.</p><p><strong>Results: </strong>Among the patients, 5493 died within 30 days of the maximum lactate measurement. The area under the receiver operating characteristic curve (AUROC) for predicting 30-day mortality based on the maximum lactate level was 0.870 (95% confidence interval [CI] 0.865-0.875) in all patients, indicating high accuracy. Setting the cutoff for the maximum lactate level at 20 mmol/L resulted in a precision of 87% and specificity of 99.8%. Subgroup analyses by age, medical department, and ICU yielded consistent results.</p><p><strong>Conclusions: </strong>Severe hyperlactatemia during hospitalization showed high precision and specificity for predicting 30-day mortality across various patient groups. These findings suggest that hyperlactatemia could serve as an objective auxiliary indicator for determining the terminal phase, potentially improving consistency in end-of-life decision-making in clinical practice.</p>\",\"PeriodicalId\":56061,\"journal\":{\"name\":\"Science Progress\",\"volume\":\"108 1\",\"pages\":\"368504241311966\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705305/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Progress\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1177/00368504241311966\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Progress","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1177/00368504241311966","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Peak serum lactate as a robust predictor of imminent death in life-sustaining treatment decisions: A study of 73,927 patients.
Objective: The physician order for life-sustaining treatment has been implemented in clinical practice for several years. However, the determination that a patient is in the terminal phase of life, a prerequisite for the withdrawal of life-sustaining treatment, lacks objective criteria. This study aimed to evaluate whether hyperlactatemia could serve as a reliable objective indicator for determining the terminal phase.
Methods: In this retrospective cohort study, we included 73,927 patients admitted to our institution from 2018 to 2023 who had at least one blood lactate measurement. We collected data on the highest blood lactate level measured during hospitalization, mortality, medical department, and intensive care unit (ICU) details. The primary endpoint was 30-day mortality, and we analyzed how well the highest lactate level during hospitalization predicted 30-day mortality across different age groups, medical departments, and ICUs.
Results: Among the patients, 5493 died within 30 days of the maximum lactate measurement. The area under the receiver operating characteristic curve (AUROC) for predicting 30-day mortality based on the maximum lactate level was 0.870 (95% confidence interval [CI] 0.865-0.875) in all patients, indicating high accuracy. Setting the cutoff for the maximum lactate level at 20 mmol/L resulted in a precision of 87% and specificity of 99.8%. Subgroup analyses by age, medical department, and ICU yielded consistent results.
Conclusions: Severe hyperlactatemia during hospitalization showed high precision and specificity for predicting 30-day mortality across various patient groups. These findings suggest that hyperlactatemia could serve as an objective auxiliary indicator for determining the terminal phase, potentially improving consistency in end-of-life decision-making in clinical practice.
期刊介绍:
Science Progress has for over 100 years been a highly regarded review publication in science, technology and medicine. Its objective is to excite the readers'' interest in areas with which they may not be fully familiar but which could facilitate their interest, or even activity, in a cognate field.