Literature DB >> 32749701

Serum prealbumin values predict the severity of coronavirus disease 2019 (COVID-19).

Camilla Mattiuzzi1, Giuseppe Lippi2.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32749701      PMCID: PMC7436767          DOI: 10.1002/jmv.26385

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


× No keyword cloud information.
To the Editor, Serum prealbumin assessment is a highly valuable and effective strategy for predicting disease progression in critically ill patients, as well as in those affected by chronic disorders and malnutrition. Reliable evidence has also been published that serum prealbumin values are decreased in patients with coronavirus disease 2019 (COVID‐19), and that its measurement may hence be clinically meaningful for early triage of these patients, so that its role in predicting critical illness and unfavorable outcomes deserves deep scrutiny. We, hence, carried out a literature search, for identifying clinical studies that measured serum prealbumin in COVID‐19 patients and correlated the values of this nutritional biomarker with disease severity. We accessed the three most widely used scientific databases (PubMed, Scopus, and Web of Science), using the keywords “coronavirus disease 2019” OR “COVID‐19” AND “prealbumin” in all fields, with no date or language restrictions. The title, abstract, and full text of all documents identified with these search criteria were carefully analyzed, and those describing serum prealbumin values in COVID‐19 patients with or without severe illness were selected. The reference list was also hand‐searched, with the purpose of identifying other potentially eligible studies. A meta‐analysis was finally performed, with an estimation of weighted mean difference (WMD), along with a 95% confidence interval (95% CI), of prealbumin values in COVID‐19 patients with or without severe disease. When the mean value and SD were not evidently reported, these measures were extrapolated using sample size, median, and range, as proposed by Hozo et al. A random‐effect model was applied for adjusting the possible heterogeneity arising across the different studies. Heterogeneity was assessed using χ 2 test and I 2 statistics. The statistical analysis was performed using MetaXL, software Version 5.3 (EpiGear International Pty Ltd, Sunrise Beach, QLD, Australia). The study was carried out in accordance with the declaration of Helsinki and within the terms of the local legislation. The initial electronic search generated a total number of 14 documents after elimination of replicates, 10 of which were immediately excluded because they did not clearly report serum prealbumin values (n = 5), did not stratify serum prealbumin values in COVID‐19 patients with different illness severity (n = 3), and the endpoint was not clearly defined (n = 1), while the remaining document ought to be excluded as it could not be found in the journal website. Another eligible study was identified from the reference list, so that our final analysis included five studies, , , , , all cross‐sectional, totaling 1813 COVID‐19 patients, 269 (14.8%) with severe disease (Table 1). All studies were carried out in China, while severe COVID‐19 illness was defined as a respiratory failure in three studies, and prolonged hospitalization or death in the remaining two investigations.
Table 1

Summary of clinical studies that investigated prealbumin values in coronavirus disease 2019 (COVID‐19) patients with or with severe illness

Study nameSettingStudy designSample sizeAgeFemalesEndpoint
An et al 5 ChinaCross‐sectional4747 ± 5 vs 39 ± 749%Prolonged hospitalization
Duan et al 6 ChinaCross‐sectional34858 ± 15 vs 44 ± 1547%Respiratory failure
Ji et al 7 ChinaCross‐sectional102N/A52%Respiratory failure
Luo et al 8 ChinaCross‐sectional111570 ± 12 vs 59 ± 1549%Death
Wu et al 9 ChinaCross‐sectional20147 ± 4 vs 59 ± 536%Respiratory failure
Summary of clinical studies that investigated prealbumin values in coronavirus disease 2019 (COVID‐19) patients with or with severe illness The outcome of single studies and their pooled analysis are shown in Figure 1. In 4 of 5 (80%) studies, serum prealbumin levels were significantly lower in COVID‐19 patients with severe illness, while in the remaining investigation, the concentration did not vary significantly in patients with or without severe disease, defined as prolonged hospitalization (ie, >12 days). In the pooled analysis, the serum prealbumin value in COVID‐19 patients with severe illness appeared significantly lower (WMD, −61.80 mg/L; 95% CI, −98.63 to −24.96 mg/L; I 2, 99%) compared with those with milder disease. The elimination of the study of An et al, which used prolonged hospitalization as an endpoint, amplified this difference (WMD, −77.48 mg/L; 95% CI, −118.17 to −36.78 mg/L; I 2, 99%).
Figure 1

Weighted mean difference (WMD) and 95% confidence interval (95% CI) of antithrombin values in coronavirus disease 2019 (COVID‐19) patients with severe illness compared with those with milder disease

Weighted mean difference (WMD) and 95% confidence interval (95% CI) of antithrombin values in coronavirus disease 2019 (COVID‐19) patients with severe illness compared with those with milder disease The findings of this meta‐analysis of available scientific literature attest that serum prealbumin values are significantly lower in COVID‐19 patients developing more severe illness. It is also important to report here the findings of another study, which was omitted from our analysis as the serum prealbumin values were unavailable in COVID‐19 patients with or without severe illness. Briefly, Zuo et al prospectively studied 446 COVID‐19 elderly patients, followed‐up during their hospital stay. In a fully adjusted model, COVID‐19 patients in the lowest tertile of serum prealbumin displayed a nearly threefold higher risk of mechanical ventilation (odds ratio, 2.8; 95% CI, 1.2‐6.8), a 25‐fold higher risk of intensive care (odds ratio, 26.4; 95% CI, 4.0‐172.4) and a 19‐fold higher risk of death (odds ratio, 20.1; 95% CI, 3.6‐111.6) compared with those in the highest serum prealbumin tertile. According to this evidence, we can hence conclude that the progressive decline of serum prealbumin values in COVID‐19 reflects a deteriorated clinical status, and may also be considered an additional contributing and predictive factor for enhancing the risk of developing unfavorable disease progression, up to death.
  10 in total

1.  Serum prealbumin deserves more significance in the early triage of COVID-19 patients.

Authors:  Xiao-Long Guo; Yan Zhang; Yu-Hua Zeng; Feng-Ya Zhao; Wei-Ping Liu; Li Xiao; Ming-Gang Yin; Cheng-Li Zhang
Journal:  Clin Chem Lab Med       Date:  2020-09-25       Impact factor: 3.694

Review 2.  Prealbumin: a marker for nutritional evaluation.

Authors:  Frederick K Beck; Thomas C Rosenthal
Journal:  Am Fam Physician       Date:  2002-04-15       Impact factor: 3.292

3.  Clinical Characteristics and Blood Test Results in COVID-19 Patients.

Authors:  Xu-Sheng An; Xiang-Yu Li; Fu-Tai Shang; Shu-Feng Yang; Jun-Yan Zhao; Xiao-Zhong Yang; Hong-Gang Wang
Journal:  Ann Clin Lab Sci       Date:  2020-05       Impact factor: 1.256

4.  Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China.

Authors:  Chaomin Wu; Xiaoyan Chen; Yanping Cai; Jia'an Xia; Xing Zhou; Sha Xu; Hanping Huang; Li Zhang; Xia Zhou; Chunling Du; Yuye Zhang; Juan Song; Sijiao Wang; Yencheng Chao; Zeyong Yang; Jie Xu; Xin Zhou; Dechang Chen; Weining Xiong; Lei Xu; Feng Zhou; Jinjun Jiang; Chunxue Bai; Junhua Zheng; Yuanlin Song
Journal:  JAMA Intern Med       Date:  2020-07-01       Impact factor: 21.873

5.  Estimating the mean and variance from the median, range, and the size of a sample.

Authors:  Stela Pudar Hozo; Benjamin Djulbegovic; Iztok Hozo
Journal:  BMC Med Res Methodol       Date:  2005-04-20       Impact factor: 4.615

6.  Biomedical research platforms and their influence on article submissions and journal rankings: an update.

Authors:  Giuseppe Lippi; Emmanuel J Favalor; Ana-Maria Simundic
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

7.  Correlation between the variables collected at admission and progression to severe cases during hospitalization among patients with COVID-19 in Chongqing.

Authors:  Jun Duan; Xiaohui Wang; Jing Chi; Hong Chen; Linfu Bai; Qianfang Hu; Xiaoli Han; Wenhui Hu; Linxiao Zhu; Xue Wang; You Li; Chenmei Zhou; Huaming Mou; Xiaofeng Yan; Shuliang Guo
Journal:  J Med Virol       Date:  2020-06-09       Impact factor: 2.327

8.  Decreased prealbumin level is associated with increased risk for mortality in elderly hospitalized patients with COVID-19.

Authors:  Peiyuan Zuo; Song Tong; Qi Yan; Ling Cheng; Yuanyuan Li; Kaixin Song; Yuting Chen; Yue Dai; Hongyu Gao; Cuntai Zhang
Journal:  Nutrition       Date:  2020-07-03       Impact factor: 4.008

9.  Characteristics of disease progress in patients with coronavirus disease 2019 in Wuhan, China.

Authors:  Mengyao Ji; Lei Yuan; Wei Shen; Junwei Lv; Yong Li; Ming Li; Xuefang Lu; Lanhua Hu; Weiguo Dong
Journal:  Epidemiol Infect       Date:  2020-05-06       Impact factor: 2.451

  10 in total
  2 in total

1.  Hypertension, diabetes mellitus, and cerebrovascular disease predispose to a more severe outcome of COVID-19.

Authors:  Kamleshun Ramphul; Petras Lohana; Yogeshwaree Ramphul; Yun Park; Stephanie Mejias; Balkiranjit Kaur Dhillon; Shaheen Sombans; Renuka Verma
Journal:  Arch Med Sci Atheroscler Dis       Date:  2021-04-12

2.  Novel serological biomarkers for inflammation in predicting disease severity in patients with COVID-19.

Authors:  Guohui Xue; Xing Gan; Zhiqiang Wu; Dan Xie; Yan Xiong; Lin Hua; Bing Zhou; Nanjin Zhou; Jie Xiang; Junming Li
Journal:  Int Immunopharmacol       Date:  2020-10-03       Impact factor: 4.932

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.