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Published on: December 19, 2020
Characteristics of mortal COVID-19 cases compared to the survivors
Xianghui Zhou1,2, Zhipeng Cheng1,2, Dan Shu3
1Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Insights
Certain comorbidities and elevated inflammatory markers like C-reactive protein predict severe outcomes in patients with coronavirus disease 2019 (COVID-19). These factors, along with coagulation indicators, are crucial for understanding COVID-19 mortality risk.
Area of Science:
- Infectious Diseases
- Epidemiology
- Critical Care Medicine
Background:
- The global emergence of coronavirus disease 2019 (COVID-19) has led to significant mortality and public health concerns.
- Identifying risk factors for COVID-19 mortality is crucial for effective clinical management and resource allocation.
Purpose of the Study:
- To conduct a meta-analysis exploring risk factors associated with mortality in patients diagnosed with COVID-19.
- To identify key comorbidities, laboratory markers, and medical interventions that predict poor prognosis in COVID-19.
Main Methods:
- A systematic literature search was performed across PubMed, EMBASE, and CNKI databases up to August 10, 2020.
- Data from 19 selected studies were extracted and analyzed using a meta-analysis approach with Stata 16.0 software.
Main Results:
- Comorbidities including diabetes, hypertension, malignancies, COPD, cardio-cerebrovascular disease, and chronic liver disease were significantly more prevalent in fatal COVID-19 cases.
- Elevated coagulation markers (e.g., D-dimer, platelet count) and inflammatory markers (e.g., C-reactive protein, IL-6) were associated with disease deterioration.
- The need for extracorporeal membrane oxygenation (ECMO) and mechanical ventilation indicated a poor prognosis.
Conclusions:
- Specific comorbidities, coagulation indicators, and inflammatory markers are significant predictors of prognosis in COVID-19 patients.
- Understanding these risk factors can aid clinicians in optimizing treatment strategies to reduce COVID-19 mortality.
- The findings highlight the complex interplay of host factors and disease progression in severe COVID-19 cases.
Abstract:
The outbreak of coronavirus disease 2019 (COVID-19) initially occurred in December 2019 and triggered a public health emergency. The increasing number of deaths due to this disease was of great concern. Therefore, our study aimed to explore risk factors associated with COVID-19 deaths. After having searched the PubMed, EMBASE, and CNKI for studies published as of August 10, 2020, we selected articles and extracted data. The meta-analysis was performed using Stata 16.0 software. Nineteen studies were used in our meta-analysis. The proportions of comorbidities such as diabetes, hypertension, malignancies, chronic obstructive pulmonary disease, cardio-cerebrovascular disease, and chronic liver disease were statistically significantly higher in mortal COVID-19 cases. Coagulation and inflammatory markers, such as platelet count, D-dimer, prothrombin time, C-reactive protein, procalcitonin, and interleukin 6, predicted the deterioration of the disease. In addition, extracorporeal membrane oxygenation and mechanical ventilation predicted the poor prognosis during its progression. The COVID-19 pandemic is still evolving, placing a huge burden on healthcare facilities. Certain coagulation indicators, inflammatory indicators, and comorbidities contribute to the prognosis of patients. Our study results may help clinicians optimize the treatment and ultimately reduce the mortality rate.
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