Clinical and Laboratory Factors Predicting the Prognosis of Patients with COVID-19: An Analysis of 127 Patients in Wuhan, China

Bai, Tao; Tu, Shengjin; Yuan, Wei; Xiao, Li; Jin, Yan; Zhang, Lei; Song, Jun; Liu, Weihua; Zhu, Qingjing; Yang, Ling; Chen, Hua; Hou, Xiaohua

doi:10.2139/ssrn.3546118

Cited by 36 publications

(38 citation statements)

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“…In the full text review, we excluded 20 studies because they were reviews articles (n = 9), inadequacy of data for the calculation of OR and 95% CI (n = 7), and poor quality (n = 4). Eventually, 19 papers were included in our meta-analysis 26 – 42 The paper selection process adopted in our study is summarized in Figure 1 , and the characteristics of studies included in our analysis are outlined in Table 1 .…”

Section: Resultsmentioning

confidence: 99%

Predictors of COVID-19 severity: a systematic review and meta-analysis

et al. 2020

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Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Methods: Relevant articles from PubMed, Embase, Cochrane, and Web of Science were searched and extracted as of April 5, 2020. Data of interest were collected and evaluated for their compatibility for the meta-analysis. Cumulative calculations to determine the correlation and effect estimates were performed using the Z test. Results: In total, 19 papers recording 1,934 mild and 1,644 severe cases of COVID-19 were included. Based on the initial evaluation, 62 potential risk factors were identified for the meta-analysis. Several comorbidities, including chronic respiratory disease, cardiovascular disease, diabetes mellitus, and hypertension were observed more frequent among patients with severe COVID-19 than with the mild ones. Compared to the mild form, severe COVID-19 was associated with symptoms such as dyspnea, anorexia, fatigue, increased respiratory rate, and high systolic blood pressure. Lower levels of lymphocytes and hemoglobin; elevated levels of leukocytes, aspartate aminotransferase, alanine aminotransferase, blood creatinine, blood urea nitrogen, high-sensitivity troponin, creatine kinase, high-sensitivity C-reactive protein, interleukin 6, D-dimer, ferritin, lactate dehydrogenase, and procalcitonin; and a high erythrocyte sedimentation rate were also associated with severe COVID-19. Conclusion: More than 30 risk factors are associated with a higher risk of severe COVID-19. These may serve as useful baseline parameters in the development of prediction tools for COVID-19 prognosis.

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Section: Resultsmentioning

confidence: 99%

Predictors of COVID-19 severity: a systematic review and meta-analysis

et al. 2020

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“…However, little attention has been paid to ferritin, even though hyperferritinemia has been shown to be associated with complications in other viral diseases such as dengue fever [3]. In order to determine if the circulating ferritin concentration could be used to predict COVID-19 progression, and to associate hyperferritinemia with the development of the cytokine storm, we reviewed all published studies that documented serum ferritin levels in patients with severe and non-severe COVID-19 disease, along with other inflammatory factors, which are summarized in Table 1 [1][2][3][4][5][6][7][8]. Table 1 also includes studies reporting ferritin and cytokine levels in COVID-19 survivors and non-survivors.…”

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confidence: 99%

Hyperferritinemia in critically ill COVID-19 patients – Is ferritin the product of inflammation or a pathogenic mediator?

Gómez-Pastora

Weigand

Kim

et al. 2020

Clinica Chimica Acta

214

183

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“…Zhongyong Chang [26] Drugs & Clinic 2020 2020/01-2020/02 Wuhan, China Ning Tang [27] Journal of Thrombosis and Haemostasis 2020 2020/01/01-2020/02/03 Wuhan, China Tao Bai [28] The Lancet Respiratory Medicine 2020 2019/12/26-2020/1/31 Wuhan, China Mingli Yuan [29] PLOS ONE 2020 2020/01/01-2020/01/25 Wuhan, China…”

Section: Search Resultsmentioning

confidence: 99%

Risk factors associated with fatal outcomes of novel coronavirus infection pneumonia (COVID-19): A systematic review and meta-analysis

Chen

Yan

Zhou

et al. 2020

Preprint

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Background: The COVID-19 infection has caused 111652 deaths worldwide as of 13 April 2020. Risk factors for fatal outcomes of COVID-19 have varied across studies due to limited samples and have lacked effective qualitative and quantitative measurements. We performed a meta-analysis to evaluate risk factors for fatal outcomes of COVID-19.Methods: Data on demographic, clinic, laboratory findings and complications were extracted. Quantitative and qualitative synthesis was conducted for weighted-mean-difference (WMD) and odds-ratio (OR).Results: A total of 30 studies involving 5741 survivors and 1670 deaths were included. The death cases were significantly older than survivors (WMD=15.36, 95% CI: 12.90-17.82), male and smoking history showed higher risk to develop fatal outcome (OR=3.37, 95% CI: 2.27-5.01; OR=1.37, 95% CI: 1.02-1.83, respectively). The clinical symptoms including dyspnea (OR=4.63, 95% CI: 2.85-7.54), hemoptysis (OR=3.11, 95% CI: 1.26-7.56), malaise (OR=2.44, 95% CI: 1.49-3.97). comorbidities with coronary heart disease (OR=4.36, 95% CI: 1.91-9.97), COPD (OR=3.70, 95% CI: 2.03-6.73) and cardiovascular disease (OR=3.45, 95% CI: 2.54-4.70). Compared to survivors, many laboratory indexes increased in deaths group, including serum ferritin (WMD=741.47, 95% CI: 566.77-916.16), lactate dehydrogenase (WMD=226.86, 95% CI: 177.08-276.64) and myoglobin (WMD=102.58, 95% CI: 65.12-140.04), and the decreased indexes included PaO2/FiO2 (WMD=-71.61, 95% CI: -134.11 to -9.11), platelets (WMD=-41.09, 95% CI: -47.33 to -34.85) and PaO2 (WMD=-26.09, 95% CI: -38.9 to -13.29). Main complications contributed to the fatal outcome included sepsis (OR=184.61, 95% CI: 33.43-1019.42), shock (OR=133.76, 95% CI: 36.86-485.34) and respiratory failure (OR=47.37, 95% CI: 20.65-108.66). Conclusion: The main risk factors associated with fatal outcome of COVID-19 involved male, older age, smoking history, chronic medical conditions including coronary heart disease, COPD and cardiovascular disease, clinical symptoms including dyspnea, hemoptysis and malaise, the increased laboratory indexes including serum ferritin, lactate dehydrogenase and myoglobin, the decreased indexes including PaO2/FiO2, platelets and PaO2, main complications including sepsis, shock and respiratory failure. These factors could be considered in triaging patients and allocating medical resources when such medical resources are scarce, devising improved protocols for patient diagnosis and management, and developing new drugs and other therapies to treat COVID-19 patients.

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Clinical and Laboratory Factors Predicting the Prognosis of Patients with COVID-19: An Analysis of 127 Patients in Wuhan, China

Cited by 36 publications

References 0 publications

Predictors of COVID-19 severity: a systematic review and meta-analysis

Predictors of COVID-19 severity: a systematic review and meta-analysis

Hyperferritinemia in critically ill COVID-19 patients – Is ferritin the product of inflammation or a pathogenic mediator?

Risk factors associated with fatal outcomes of novel coronavirus infection pneumonia (COVID-19): A systematic review and meta-analysis

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