Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019
Purpose The coronavirus disease 2019 (COVID-19) pandemic continues. It has been reported that patients with bacterial coinfection have a higher mortality rate than patients without coinfection. However, there are no clear standard guidelines for the use of antibacterial drugs. Therefore, the purpose...
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| Format: | Article |
| Language: | English |
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Korean Society of Acute Care Surgery
2022-07-01
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| Series: | Journal of Acute Care Surgery |
| Subjects: | |
| Online Access: | http://www.jacs.or.kr/upload/pdf/jacs-2022-12-2-53.pdf |
| _version_ | 1797682015092342784 |
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| author | Sungho Lee Jung Mo Lee Taeyang Choi Kwanhoon Park Kang Yoon Lee Ji young Jang |
| author_facet | Sungho Lee Jung Mo Lee Taeyang Choi Kwanhoon Park Kang Yoon Lee Ji young Jang |
| author_sort | Sungho Lee |
| collection | DOAJ |
| description | Purpose The coronavirus disease 2019 (COVID-19) pandemic continues. It has been reported that patients with bacterial coinfection have a higher mortality rate than patients without coinfection. However, there are no clear standard guidelines for the use of antibacterial drugs. Therefore, the purpose of this study was to determine the usefulness of procalcitonin, a specific indicator of bacterial infection, as a biomarker for predicting death in COVID-19 patients. Methods This was a retrospective study of confirmed COVID-19 patients (N = 283) between December 2020 and February 2021 who survived or died. Logistic regression analysis was performed to determine whether there was an association between the level of procalcitonin and death. In addition, receiver operating characteristic curve analysis was performed to determine the usefulness of procalcitonin as a predictor of death. Results In the non-survivor group, age, the number of patients transferred from a health care center, segment neutrophil ratio, C reactive protein, ferritin, and procalcitonin were significantly higher in the survivor group. In multivariate analysis, procalcitonin was identified as an independent factor associated with death (hazard ratio 6.162, confidential interval 2.285–26.322, p = 0.014). In addition, the predictive power of procalcitonin level and mortality was statistically significant using receiver operating characteristic curve analysis which gave an area under the curve value of 0.823, a cut-off value of 0.05, a sensitivity of 72.2%, a specificity of 87.5% (p < 0.001). Conclusion Measurement of procalcitonin and other biomarkers may be useful to determine whether to use or discontinue use of antibacterial drugs in patients with COVID-19. |
| first_indexed | 2024-03-11T23:53:23Z |
| format | Article |
| id | doaj.art-a8251364196d4a679cff152c8c872817 |
| institution | Directory Open Access Journal |
| issn | 2288-5862 2288-9582 |
| language | English |
| last_indexed | 2024-03-11T23:53:23Z |
| publishDate | 2022-07-01 |
| publisher | Korean Society of Acute Care Surgery |
| record_format | Article |
| series | Journal of Acute Care Surgery |
| spelling | doaj.art-a8251364196d4a679cff152c8c8728172023-09-19T00:02:59ZengKorean Society of Acute Care SurgeryJournal of Acute Care Surgery2288-58622288-95822022-07-01122536210.17479/jacs.2022.12.2.53242Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019Sungho Lee0Jung Mo Lee1Taeyang Choi2Kwanhoon Park3Kang Yoon Lee4Ji young Jang5Department of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaDepartment of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaDepartment of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaDepartment of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaDepartment of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaDepartment of COVID-19 Management, National Health Insurance Service Ilsan Hospital, Goyang, KoreaPurpose The coronavirus disease 2019 (COVID-19) pandemic continues. It has been reported that patients with bacterial coinfection have a higher mortality rate than patients without coinfection. However, there are no clear standard guidelines for the use of antibacterial drugs. Therefore, the purpose of this study was to determine the usefulness of procalcitonin, a specific indicator of bacterial infection, as a biomarker for predicting death in COVID-19 patients. Methods This was a retrospective study of confirmed COVID-19 patients (N = 283) between December 2020 and February 2021 who survived or died. Logistic regression analysis was performed to determine whether there was an association between the level of procalcitonin and death. In addition, receiver operating characteristic curve analysis was performed to determine the usefulness of procalcitonin as a predictor of death. Results In the non-survivor group, age, the number of patients transferred from a health care center, segment neutrophil ratio, C reactive protein, ferritin, and procalcitonin were significantly higher in the survivor group. In multivariate analysis, procalcitonin was identified as an independent factor associated with death (hazard ratio 6.162, confidential interval 2.285–26.322, p = 0.014). In addition, the predictive power of procalcitonin level and mortality was statistically significant using receiver operating characteristic curve analysis which gave an area under the curve value of 0.823, a cut-off value of 0.05, a sensitivity of 72.2%, a specificity of 87.5% (p < 0.001). Conclusion Measurement of procalcitonin and other biomarkers may be useful to determine whether to use or discontinue use of antibacterial drugs in patients with COVID-19.http://www.jacs.or.kr/upload/pdf/jacs-2022-12-2-53.pdfcoinfectioncoronaviruscovid-19procalcitonin |
| spellingShingle | Sungho Lee Jung Mo Lee Taeyang Choi Kwanhoon Park Kang Yoon Lee Ji young Jang Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 Journal of Acute Care Surgery coinfection coronavirus covid-19 procalcitonin |
| title | Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 |
| title_full | Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 |
| title_fullStr | Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 |
| title_full_unstemmed | Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 |
| title_short | Procalcitonin as a Predictive Factor for the Clinical Outcome of Patients with Coronavirus Disease 2019 |
| title_sort | procalcitonin as a predictive factor for the clinical outcome of patients with coronavirus disease 2019 |
| topic | coinfection coronavirus covid-19 procalcitonin |
| url | http://www.jacs.or.kr/upload/pdf/jacs-2022-12-2-53.pdf |
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