肌钙蛋白I与新冠肺炎患者死亡率的关系:荟萃分析研究
摘要
成为一种疫情,在将近两年的时间里导致400万人死亡。患有合并症和危险因素的新冠肺炎患者预后更差,其中之
一是心脏病。心脏病可通过肌钙蛋白I值检查。本研究旨在确定新冠肺炎患者肌钙蛋白I水平与死亡率之间的关系。
受试者和方法:这是一项系统性综述和荟萃分析,通过使用关键词:肌钙蛋白I、队列、死亡、心脏生物标志物、死
亡、冠状病毒、新冠肺炎死亡率和新冠肺炎,从Science Direct、Springer、谷歌学术和PubMed等数据库中搜索文章。
2019-2021年间发表的10篇认证文章被纳入荟萃分析。这项研究的对象是10,499名新冠肺炎患者。这项研究中的干
预是高肌钙蛋白I水平,而对照是正常的肌钙蛋白I水平。这项研究的结果是COVID-19患者的死亡率。使用Review
Manager软件5.3版对新冠肺炎患者肌钙蛋白I水平和死亡率之间的关系进行数据处理。结果:对中国、西班牙、纽约
(美国)、法国、土耳其和费城(美国)的10篇主要研究文章的荟萃分析显示,高肌钙蛋白I水平与新冠肺炎患者死亡
风险增加相关(aOR=3.07;95%CI=1.68-5.61;p
关键词
全文:
PDF参考
[1]Cetinkal G, Kocas BB, Ser OS, Kilci H, Keskin K,
Ozcan SN, Verdi Y, et al. (2020). Assessment of the modified
cha2ds2vasc risk score in predicting mortality in patients
hospitalized with COVID-19. Am. J. Cardiol. 1-7.
[2]Chen H, Li X, Marmar T, Xu Q, Tu J, Li T, Han J, et
al. (2021). Cardiac troponin i association with critical illness
and death risk in 726 seriously ill COVID-19 patients: a
retrospective cohort study. Int. j. med. sci. res. 18(6): 1474–
1483.
[3]Chen LQ, Burdowski J, Marfatia R, Weber J, Gliganic
K, Diaz N, Ramjattan N, et al. (2020). Reduced cardiac
function is asso-ciated with cardiac injury and mortality risk
in hospitalized COVID-19 Patients. Clin. Cardiol. 43(12):
1547–1554.
[4]Cordeanu EM, Duthil N, Severac F, Lambach H,
Tousch J, Jambert L, Mirea C, et al. (2020). Prognostic value of
troponin elevation in COVID-19 hospitalized patients. J Clin
Med. 9(12): 4078.
[5]Du R, Liang L, Yang C, Wang W, Cao T, Li M, Guo G,
et al. (2020). Predictors of mortality for patients with COVID19 pneumonia caused by SARS-CoV-2: a prospective cohort
study. Eur. Respir. J. 55:1-8.
[6]Guadiana LG, Morell RD, Rodríguez GO, Indiano
CM, María A, Padilla L, Miquel J, et al. (2021). Cardiac
troponin and COVID-19 severity: results from biocovid study.
Eur J Clin Invest. 1–12.
[7]Harmouch F, Shah K, Hippen JT, Kumar A, Goel
H (2021). Is it all in the heart? Myocardial injury as major
predictor of mortality among hospitalized COVID‐19 patients.
J. Med. Virol. 93: 973-982.
[8]Levani Y, Prastya AD, Mawaddatunnadila S, Wuhan
K, Huebei P (2019). Coronavirus Disease 2019 (COVID19): patogenesis, manifestasi klinis dan pilihan terapi. jurnal
kedokteran dan kesehatan. 17(1): 44-57.
[9]Majure DT, Gruberg L, Saba SG, Kvasnovsky C, Hirsch
JS, Jauhar R (2021). Usefulness of elevated troponin to predict
death in patients with COVID-19 and myocardial injury. Am J
Cardiovasc. 138: 100–106.
[10]Manocha KK, Kirzner J, Ying X, Yeo I, Peltzer B,
Ang B, Li HA, et al. (2020). Troponin and other biomarker
levels and outcomes among patients hospitalized with COVID19: derivation and validation of the ha2t2 COVID-19 mortality
risk score. J. Am. Heart Assoc. 1-12.
[11]Muhammad R, Ogunti R, Ahmed B, Munawar M,
Donaldson S, Sumon M, Kibreab A, et al. (2020). Clinical
characteristics and predictors of mortality in minority patients
hospitalized with COVID-19 infection. J. Racial and Ethn
Health Disparities.
[12]Murti B (2018). Prinsip dan Metode Riset
Epidemiologi. Karanganyar: Bintang Fajar Offset.
[13]Nie SF, Yu M, Xie T, Yang F, Wang HB, Wang
ZH, Li M, et al. (2020). Cardiac troponin i is an independent
predictor for mortality in hospitalized patients with COVID-19.
Circ. 142(6): 608–610.
[14]Ozyilmaz S, Alis EE, Ermis E, Allahverdiyev S, Ucar
H. (2020). Assessment of the re-lationship between mortality
and troponin I levels in hospitalized patients with the novel
coronavirus (COVID-19). Medicina. 56(693):1-12.
[15]Pane MDC (2021a). COVID-19. Retrieved from:
https://www.alodokter.com/COVID-19.
[16]Pane MDC (2021b). Virus Corona. Retrieved from:
https://www.alodokter.com-/virus-coro-na.
[17]Satria RMA, Tutupoho RP, Chalidyanto D. (2020).
Analisis faktor risiko kematian dengan penyakit komorbid
COVID-19. Jurnal Keperawatan Silampari. 4: 48–55.
[18]The Joanna Briggs Institute (2017). Critical Appraisal
tools for use in JBI Systematic Reviews Checklist for Cohort
Studies. http://joannabriggs.org/research/critical-appraisaltools.html.
[19]WHO (2021). WHO: Coronavirus (COVID-19)
Disease Dashboard. Retrieved from: https://covid19.who.int/.
[20]Woo SH, Rios-Diaz AJ, Kubey AA, Cheney-Peters
DR, Ackermann LL, Chalikon-da DM, Venkataraman CM, et
al. (2021). Development and validation of a web-based severe
COVID-19 risk prediction model. Am. J. Med. Sci., 1-28.
Refbacks
- 当前没有refback。