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MuLBSTA 评分系统在 COVID-19 重症预警中的诊断和预后作用的适用性。

Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19.

机构信息

Intensive Care Unit, The First People's Hospital of Chongqing Liang Jiang New Area, Chongqing, 401120, China.

Intensive Care Unit, The First People's Hospital of Chongqing Liang Jiang New Area, Chongqing, 401120, China.

出版信息

Microb Pathog. 2021 Jan;150:104706. doi: 10.1016/j.micpath.2020.104706. Epub 2020 Dec 24.

DOI:10.1016/j.micpath.2020.104706
PMID:33347962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7758722/
Abstract

To explore the applicability of MuLBSTA Score in COVID-19 patients, a retrospective analysis was performed on 330 cases of COVID-19 patients in Southeast Hospital of Xiaogan City, Hubei Province. The clinical characteristics of COVID-19 patients were described and multilobe infiltrate in CT, bacterial infection, lymphocyte count, smoke in history, history of hypertension, and age distribution in the population of mild and severe patients were analyzed. All included patients were scored according to the MuLBSTA early warning scoring system and its efficacy in early warning of severe symptoms was analyzed. CT feature of infiltration changes on multiple lobes, the absolute value of lymphocyte count of less than 0.8 × 10, accompanied by bacterial infection, history of smoking, history of hypertension, and an age of greater than 60 years old were all statistically significant factors in patients with severe COVID-19. ROC curve analysis indicated that the sensitivity, specificity and accuracy of the early warning system were 0.651, 0.954 and 0.93, respectively. The MuLBSTA Score has a good early warning effect on severe COVID-19 patients.

摘要

为了探索 MuLBSTA 评分在 COVID-19 患者中的适用性,对湖北省孝感市东南医院的 330 例 COVID-19 患者进行了回顾性分析。描述了 COVID-19 患者的临床特征,并分析了 CT 多叶浸润、细菌感染、淋巴细胞计数、吸烟史、高血压史和轻、重症患者人群中的年龄分布。根据 MuLBSTA 预警评分系统对所有纳入患者进行评分,并分析其对重症症状的预警效果。多叶浸润 CT 特征、淋巴细胞计数绝对值<0.8×10、伴细菌感染、吸烟史、高血压史和年龄大于 60 岁均为重症 COVID-19 患者的统计学显著因素。ROC 曲线分析表明,预警系统的敏感性、特异性和准确性分别为 0.651、0.954 和 0.93。MuLBSTA 评分对重症 COVID-19 患者具有良好的预警效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399f/7758722/ca8a1e255dd3/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399f/7758722/ca8a1e255dd3/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399f/7758722/ca8a1e255dd3/gr1_lrg.jpg

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本文引用的文献

1
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.《武汉 2019 年新型冠状病毒感染的肺炎 138 例住院患者临床特征分析》
JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
2
Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.新冠病毒的基因组特征和流行病学:对病毒起源和受体结合的影响。
Lancet. 2020 Feb 22;395(10224):565-574. doi: 10.1016/S0140-6736(20)30251-8. Epub 2020 Jan 30.
3
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.
Severe/critical COVID-19 early warning system based on machine learning algorithms using novel imaging scores.
基于使用新型影像评分的机器学习算法的重症/危重症新型冠状病毒肺炎预警系统
World J Clin Cases. 2023 Apr 26;11(12):2716-2728. doi: 10.12998/wjcc.v11.i12.2716.
4
Association of Different Risk Scores and 30-Day Mortality in Kidney Transplant Recipients with COVID-19.不同风险评分与 COVID-19 肾移植受者 30 天死亡率的相关性。
Medicina (Kaunas). 2023 Mar 26;59(4):657. doi: 10.3390/medicina59040657.
5
Evaluating the ability of the NLHA2 and artificial neural network models to predict COVID-19 severity, and comparing them with the four existing scoring systems.评估 NLHA2 和人工神经网络模型预测 COVID-19 严重程度的能力,并将其与现有的四个评分系统进行比较。
Microb Pathog. 2022 Oct;171:105735. doi: 10.1016/j.micpath.2022.105735. Epub 2022 Aug 23.
6
Comprehensive literature review on the radiographic findings, imaging modalities, and the role of radiology in the COVID-19 pandemic.关于COVID-19大流行中影像学表现、成像方式以及放射学作用的综合文献综述。
World J Radiol. 2021 Sep 28;13(9):258-282. doi: 10.4329/wjr.v13.i9.258.
中国武汉 99 例 2019 年新型冠状病毒肺炎患者的流行病学和临床特征:描述性研究。
Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
4
Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score.预测病毒性肺炎患者死亡风险的临床特征:MuLBSTA评分
Front Microbiol. 2019 Dec 3;10:2752. doi: 10.3389/fmicb.2019.02752. eCollection 2019.
5
Mortality prediction to hospitalized patients with influenza pneumonia: PO /FiO combined lymphocyte count is the answer.流感肺炎住院患者的死亡率预测:氧合指数(PO₂/FiO₂)联合淋巴细胞计数是答案。
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6
Incidence and characteristics of viral community-acquired pneumonia in adults.成人病毒性社区获得性肺炎的发病率及特征
Thorax. 2008 Jan;63(1):42-8. doi: 10.1136/thx.2006.075077. Epub 2007 Jun 15.