Clinical features predicting COVID-19 mortality risk
Currently, the world is involved by a pandemic of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which has been responsible for the deaths of hundreds of thousands of people so far. The consequences of infection with SARS-CoV-2 vary widely from asymptomatic to severe. Considering the...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2022-04-01
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| Series: | European Journal of Translational Myology |
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| Online Access: | https://www.pagepressjournals.org/index.php/bam/article/view/10268 |
| _version_ | 1818526415614640128 |
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| author | Hamidreza Kouhpayeh |
| author_facet | Hamidreza Kouhpayeh |
| author_sort | Hamidreza Kouhpayeh |
| collection | DOAJ |
| description |
Currently, the world is involved by a pandemic of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which has been responsible for the deaths of hundreds of thousands of people so far. The consequences of infection with SARS-CoV-2 vary widely from asymptomatic to severe. Considering the increasing prevalence of different types of virus and acute infection with this disease, strategies to prevent mortality from COVID-19 should be seriously analyzed. In this study, the epidemiological, clinical and laboratory characteristics of patients with COVID-19 were investigated in order to identify risk factors for mortality. Chronic diseases such as chronic kidney disease (CKD), COPD, diabetes, hypertension, cardiovascular disease (CVD), cancer, increased D-dimer, male gender, old age, smoking and obesity are among the deadly risk factors associated COVID-19. Furthermore, lymphopenia and neutrophilia are often present in patients with SARS-CoV-2, and the ratio of absolute neutrophils to lymphocytes (NLR) was significantly increased in patients without bacterial infection. These findings could be used in the future to control and prevent disease, because timely identification of patients with risk of COVID-19 is important to provide better treatment strategies for reduction of mortality.
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| first_indexed | 2024-12-11T06:22:40Z |
| format | Article |
| id | doaj.art-055169a103e846298b1a5624e72a0b12 |
| institution | Directory Open Access Journal |
| issn | 2037-7452 2037-7460 |
| language | English |
| last_indexed | 2024-12-11T06:22:40Z |
| publishDate | 2022-04-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | European Journal of Translational Myology |
| spelling | doaj.art-055169a103e846298b1a5624e72a0b122022-12-22T01:17:45ZengPAGEPress PublicationsEuropean Journal of Translational Myology2037-74522037-74602022-04-0110.4081/ejtm.2022.10268Clinical features predicting COVID-19 mortality riskHamidreza Kouhpayeh0Tropical and Infectious Diseases Department, Zahedan University of Medical Sciences, Zahedan, Iran; Zahedan University of Medical Sciences Research Center, Emam Ali Hospital, Zahedan Currently, the world is involved by a pandemic of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which has been responsible for the deaths of hundreds of thousands of people so far. The consequences of infection with SARS-CoV-2 vary widely from asymptomatic to severe. Considering the increasing prevalence of different types of virus and acute infection with this disease, strategies to prevent mortality from COVID-19 should be seriously analyzed. In this study, the epidemiological, clinical and laboratory characteristics of patients with COVID-19 were investigated in order to identify risk factors for mortality. Chronic diseases such as chronic kidney disease (CKD), COPD, diabetes, hypertension, cardiovascular disease (CVD), cancer, increased D-dimer, male gender, old age, smoking and obesity are among the deadly risk factors associated COVID-19. Furthermore, lymphopenia and neutrophilia are often present in patients with SARS-CoV-2, and the ratio of absolute neutrophils to lymphocytes (NLR) was significantly increased in patients without bacterial infection. These findings could be used in the future to control and prevent disease, because timely identification of patients with risk of COVID-19 is important to provide better treatment strategies for reduction of mortality. https://www.pagepressjournals.org/index.php/bam/article/view/10268Severe acute respiratory syndrome coronavirus 2COVID 19clinical featuresmortalityprediction |
| spellingShingle | Hamidreza Kouhpayeh Clinical features predicting COVID-19 mortality risk European Journal of Translational Myology Severe acute respiratory syndrome coronavirus 2 COVID 19 clinical features mortality prediction |
| title | Clinical features predicting COVID-19 mortality risk |
| title_full | Clinical features predicting COVID-19 mortality risk |
| title_fullStr | Clinical features predicting COVID-19 mortality risk |
| title_full_unstemmed | Clinical features predicting COVID-19 mortality risk |
| title_short | Clinical features predicting COVID-19 mortality risk |
| title_sort | clinical features predicting covid 19 mortality risk |
| topic | Severe acute respiratory syndrome coronavirus 2 COVID 19 clinical features mortality prediction |
| url | https://www.pagepressjournals.org/index.php/bam/article/view/10268 |
| work_keys_str_mv | AT hamidrezakouhpayeh clinicalfeaturespredictingcovid19mortalityrisk |