Covid-19危重患者的预后分析及临床和营养特征

Samyra Soligo Rovani, Kaio Luís Puntel, Larissa Ambrozim de Oliveira, A. P. Vieira
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引用次数: 0

摘要

2019冠状病毒病大流行对卫生系统构成了挑战,这在很大程度上是由于该疾病在老年人群中的高死亡率、多种临床表现以及与患者营养诊断和生化特征相关的预后。目的:将重症监护病房(ICU)收治的Covid-19患者与实验室检查、人体测量数据和疾病临床结局联系起来。方法:采用二级数据库进行流行病学和横断面研究,分析2020年3月至2021年3月ICU收治的Covid-19患者的实验室(血红蛋白、红细胞压积、白细胞、棒状细胞、血小板、肌酐、d-二聚体、草酰乙酸转氨酶、丙酮转氨酶和c反应蛋白)和营养(上臂围、小腿围和体重指数)参数。收集住院新冠肺炎患者的社会人口学、实验室和临床数据。结果:年龄与人体测量指标呈负相关。使用较多的药物(平均2.1)与较低的最终体重指数(平均29.2 kg/m²)和臂围(平均32.3 cm)值相关。死亡的患者年龄较大,住院时间较短,肌酐水平较高,基线人体测量指标较低。结论:老年患者的人体测量值较低。慢性疾病患者在Covid-19的演变过程中预后较差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic analysis and clinical and nutritional characteristics of critical Covid-19 patients
The Covid-19 pandemic represented a challenge for health systems, in large part due to the high mortality rate of the disease in older population, multiform clinical manifestations and prognosis related to nutritional diagnosis and biochemical profile of patients. Objective: to correlate Covid-19 patients admitted to an Intensive Care Unit (ICU) with laboratory tests, anthropometric data and the clinical outcome of the disease. Methodology: an epidemiological and cross-sectional study was performed using secondary databases, analyzing the laboratory (hemoglobin, hematocrit, leukocytes, rods, platelets, creatinine, d-dimer, oxaloacetic transaminase, pyruvic transaminase and C-reactive protein) and nutritional (upper arm circumference, calf circumference and body mass index) parameters of Covid-19 patients admitted to the ICU between March 2020 and March 2021. Sociodemographic, laboratory and clinical data were collected from hospitalized Covid-19 patients in the hospital. Results: inverse correlations were observed between age and anthropometric indicators. The use of a greater number of medications (average 2.1) was associated with lower final Body Mass Index (average 29.2 kg/m²) and arm circumference (average 32.3 cm) values. Patients who died were older, had shorter hospital stays, higher creatinine levels and lower baseline anthropometric indicators. Conclusions: older patients had lower anthropometric values. Patients with chronic diseases had a worse prognosis in the evolution of Covid-19.
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