Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19
Aim. To conduct a retrospective assessment of the clinical and laboratory data of patients with severe forms of COVID-19 hospitalized in the intensive care and intensive care unit, in order to assess the contribution of various indicators to the likelihood of death. Materials and methods. A retro...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
"Consilium Medicum" Publishing house
2022-12-01
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| Series: | Терапевтический архив |
| Subjects: | |
| Online Access: | https://ter-arkhiv.ru/0040-3660/article/viewFile/71610/pdf |
| _version_ | 1797953604318920704 |
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| author | Oksana V. Stanevich Evgeny A. Bakin Aleksandra A. Korshunova Alexandra Ya. Gudkova Aleksey A. Afanasev Irina V. Shlyk Dmitry A. Lioznov Yury S. Polushin Alexandr N. Kulikov |
| author_facet | Oksana V. Stanevich Evgeny A. Bakin Aleksandra A. Korshunova Alexandra Ya. Gudkova Aleksey A. Afanasev Irina V. Shlyk Dmitry A. Lioznov Yury S. Polushin Alexandr N. Kulikov |
| author_sort | Oksana V. Stanevich |
| collection | DOAJ |
| description | Aim. To conduct a retrospective assessment of the clinical and laboratory data of patients with severe forms of COVID-19 hospitalized in the intensive care and intensive care unit, in order to assess the contribution of various indicators to the likelihood of death.
Materials and methods. A retrospective assessment of data on 224 patients with severe COVID-19 admitted to the intensive care unit was carried out. The analysis included the data of biochemical, clinical blood tests, coagulograms, indicators of the inflammatory response. When transferring to the intensive care units (ICU), the indicators of the formalized SOFA and APACHE scales were recorded. Anthropometric and demographic data were downloaded separately.
Results. Analysis of obtained data, showed that only one demographic feature (age) and a fairly large number of laboratory parameters can serve as possible markers of an unfavorable prognosis. We identified 12 laboratory features the best in terms of prediction: procalcitonin, lymphocytes (absolute value), sodium (ABS), creatinine, lactate (ABS), D-dimer, oxygenation index, direct bilirubin, urea, hemoglobin, C-reactive protein, age, LDH. The combination of these features allows to provide the quality of the forecast at the level of AUC=0.85, while the known scales provided less efficiency (APACHE: AUC=0.78, SOFA: AUC=0.74).
Conclusion. Forecasting the outcome of the course of COVID-19 in patients in ICU is relevant not only from the position of adequate distribution of treatment measures, but also from the point of view of understanding the pathogenetic mechanisms of the development of the disease. |
| first_indexed | 2024-04-10T23:04:40Z |
| format | Article |
| id | doaj.art-7c3e60a23a8c4edd87b0e054bd9304aa |
| institution | Directory Open Access Journal |
| issn | 0040-3660 2309-5342 |
| language | Russian |
| last_indexed | 2024-04-10T23:04:40Z |
| publishDate | 2022-12-01 |
| publisher | "Consilium Medicum" Publishing house |
| record_format | Article |
| series | Терапевтический архив |
| spelling | doaj.art-7c3e60a23a8c4edd87b0e054bd9304aa2023-01-13T13:28:48Zrus"Consilium Medicum" Publishing houseТерапевтический архив0040-36602309-53422022-12-0194111225123310.26442/00403660.2022.11.20194178205Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19Oksana V. Stanevich0https://orcid.org/0000-0002-6894-6121Evgeny A. Bakin1https://orcid.org/0000-0002-5694-4348Aleksandra A. Korshunova2https://orcid.org/0000-0002-7419-7227Alexandra Ya. Gudkova3https://orcid.org/0000-0003-0156-8821Aleksey A. Afanasev4https://orcid.org/0000-0003-0277-3456Irina V. Shlyk5https://orcid.org/0000-0003-0977-8081Dmitry A. Lioznov6https://orcid.org/0000-0003-3643-7354Yury S. Polushin7https://orcid.org/0000-0002-6313-5856Alexandr N. Kulikov8https://orcid.org/0000-0002-4544-2967Pavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityPavlov First Saint Petersburg State Medical UniversityAim. To conduct a retrospective assessment of the clinical and laboratory data of patients with severe forms of COVID-19 hospitalized in the intensive care and intensive care unit, in order to assess the contribution of various indicators to the likelihood of death. Materials and methods. A retrospective assessment of data on 224 patients with severe COVID-19 admitted to the intensive care unit was carried out. The analysis included the data of biochemical, clinical blood tests, coagulograms, indicators of the inflammatory response. When transferring to the intensive care units (ICU), the indicators of the formalized SOFA and APACHE scales were recorded. Anthropometric and demographic data were downloaded separately. Results. Analysis of obtained data, showed that only one demographic feature (age) and a fairly large number of laboratory parameters can serve as possible markers of an unfavorable prognosis. We identified 12 laboratory features the best in terms of prediction: procalcitonin, lymphocytes (absolute value), sodium (ABS), creatinine, lactate (ABS), D-dimer, oxygenation index, direct bilirubin, urea, hemoglobin, C-reactive protein, age, LDH. The combination of these features allows to provide the quality of the forecast at the level of AUC=0.85, while the known scales provided less efficiency (APACHE: AUC=0.78, SOFA: AUC=0.74). Conclusion. Forecasting the outcome of the course of COVID-19 in patients in ICU is relevant not only from the position of adequate distribution of treatment measures, but also from the point of view of understanding the pathogenetic mechanisms of the development of the disease.https://ter-arkhiv.ru/0040-3660/article/viewFile/71610/pdfcovid-19new coronavirus diseaseintensive care unitsofaapache |
| spellingShingle | Oksana V. Stanevich Evgeny A. Bakin Aleksandra A. Korshunova Alexandra Ya. Gudkova Aleksey A. Afanasev Irina V. Shlyk Dmitry A. Lioznov Yury S. Polushin Alexandr N. Kulikov Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 Терапевтический архив covid-19 new coronavirus disease intensive care unit sofa apache |
| title | Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 |
| title_full | Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 |
| title_fullStr | Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 |
| title_full_unstemmed | Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 |
| title_short | Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19 |
| title_sort | informativeness estimation for the main clinical and laboratory parameters in patients with severe covid 19 |
| topic | covid-19 new coronavirus disease intensive care unit sofa apache |
| url | https://ter-arkhiv.ru/0040-3660/article/viewFile/71610/pdf |
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