Chrome Extension
WeChat Mini Program
Use on ChatGLM

Изменение Клинических И Лабораторных Показателей В Зависимости От Тяжести Травматического Шока: Ретроспективное Когортное Исследование

Annals of critical care(2024)

ФГБВОУ ВО «Военно-медицинская академия имени С.М. Кирова» МО РФ | ФГКУ «442 военный клинический госпиталь им. З.П. Соловьева» МО РФ

Cited 0|Views2
Abstract
INTRODUCTION: Traumatic shock is a complex pathophysiological process that includes impaired tissue perfusion, the development of circulatory and tissue hypoxia, metabolic disorders, and homeostasis disorders. MATERIALS AND METHODS: A retrospective cohort study that included 329 people with combat injury. The level of systolic blood pressure (SBP), heart rate (HR), acid-base state (CBS), general and gas blood tests were examined upon admission. RESULTS: There were 55 patients without shock (30 %), 83 (25 %) with I degree shock, 80 (25 %) of II degree, 51 (15 %) of III degree, 16 (5 %) of IV degree. The analysis of the values of the SBP, HR and shock index (SI), base deficiency (BE) showed the presence of statistical differences depending on the degree of shock. SI without shock was 0.7 (0.7; 0.8); with shock of the I degree — 0.8 (0.7; 0.9); II degree — 1.3 (1.1; 1.5), III degree — 1.8 (1.5; 2.1), IV degree — 2.5 (2.1; 3.8). The value without shock was –3.1 (3.9; –2.2); with degree I shock –3.7 (–2.1; –6.2); II degree: –4.6 (–3.1; –6.8); III degree: –8.5 (–6.5; –11.8); IV degree: –22.1 (–15.6; –26.1). Regression analysis of the relationship with the degree of shock showed two models that described a 45.9 % and 50.2 % probability. The first model includes a constant and VE (p < 0.01). The second model includes the constant, VE and the number of platelets (p < 0.01). CONCLUSION: A retrospective analysis of clinical and laboratory parameters for traumatic shock demonstrated differences in SBP, HR, SI, red blood counts, CBS, lactate levels depending on the degree of shock. The severity of acidosis and lactate levels turned out to be higher than expected for the degree of shock, due to the nature and severity of the injuries received. Base deficiency and platelet count were associated with the severity of shock.
More
Translated text
Key words
травматический шок,анализ газов крови,кислотно-щелочное равновесие,артериальное давление,раны и ушибы,лактат
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文通过回顾性队列研究,分析了不同程度的创伤性休克患者的临床和实验室指标变化,发现休克程度与收缩压、心率、休克指数、酸碱状态及乳酸水平等存在显著相关性,并建立了预测休克程度的回归模型。

方法】:采用回顾性队列研究方法,对329名战斗伤员入院时的收缩压、心率、酸碱状态及血液常规和气体检测结果进行分析。

实验】:研究收集了329名战斗伤员的数据,并根据休克程度分为五组进行分析,结果表明,休克程度与收缩压、心率、休克指数、碱缺失及血小板数量等指标有显著差异,通过回归分析建立了两个预测模型,分别描述了45.9%和50.2%的休克程度概率。