Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study
Advanced age is known to be a predictor with COVID-19 severity. Understanding of other disease progression factors may shorten the time from patient admission to applied treatment. The Veterans Health Administration COVID-19 (VACO index) was assumed to additionally anticipate clinical results of pat...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/19/6262 |
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| author | Agnieszka Matera-Witkiewicz Magdalena Krupińska Adrian Doroszko Małgorzata Trocha Katarzyna Giniewicz Krzysztof Kujawa Maciej Rabczyński Marta Obremska Edwin Kuznik Pawel Lubieniecki Barbara Adamik Krzysztof Kaliszewski Katarzyna Kiliś-Pstrusińska Michał Pomorski Marcin Protasiewicz Marcin Madziarski Janusz Sokołowski Ewa A. Jankowska Katarzyna Madziarska |
| author_facet | Agnieszka Matera-Witkiewicz Magdalena Krupińska Adrian Doroszko Małgorzata Trocha Katarzyna Giniewicz Krzysztof Kujawa Maciej Rabczyński Marta Obremska Edwin Kuznik Pawel Lubieniecki Barbara Adamik Krzysztof Kaliszewski Katarzyna Kiliś-Pstrusińska Michał Pomorski Marcin Protasiewicz Marcin Madziarski Janusz Sokołowski Ewa A. Jankowska Katarzyna Madziarska |
| author_sort | Agnieszka Matera-Witkiewicz |
| collection | DOAJ |
| description | Advanced age is known to be a predictor with COVID-19 severity. Understanding of other disease progression factors may shorten the time from patient admission to applied treatment. The Veterans Health Administration COVID-19 (VACO index) was assumed to additionally anticipate clinical results of patients hospitalized with a proven infection caused by the SARS-CoV-2 virus. Methods: The medical records of 2183 hospitalized patients were retrospectively analyzed. Patients were divided into four risk-of-death categories: low risk, medium risk, high-risk, and extreme risk depending on their VACO index calculation. Results: Significant differences in the mortality at the hospital after three months of discharge and six months after discharge were noticed. For the patients in the extreme-risk group, mortality reached 37.42%, 62.81%, and 78.44% for in-hospital, three months of discharge, and six months of discharge, respectively. The mortality marked as high risk reached 20.38%, 37.19%, and 58.77%. Moreover, the secondary outcomes analysis acknowledged that patients classified as extreme risk were more likely to suffer from cardiogenic shock, myocardial infarction, myocardial injury, stroke, pneumonia, acute kidney injury, and acute liver dysfunction. Patients at moderate risk were more often admitted to ICU when compared to other patients. Conclusions: The usage of the VACO index, combined with an appropriate well-defined medical interview and past medical history, tends to be a helpful instrument in order to predict short-term mortality and disease progression based on previous medical records. |
| first_indexed | 2024-03-10T21:42:13Z |
| format | Article |
| id | doaj.art-dd64f07e75a24450ae9281ed1769c3f2 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T21:42:13Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-dd64f07e75a24450ae9281ed1769c3f22023-11-19T14:36:22ZengMDPI AGJournal of Clinical Medicine2077-03832023-09-011219626210.3390/jcm12196262Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS StudyAgnieszka Matera-Witkiewicz0Magdalena Krupińska1Adrian Doroszko2Małgorzata Trocha3Katarzyna Giniewicz4Krzysztof Kujawa5Maciej Rabczyński6Marta Obremska7Edwin Kuznik8Pawel Lubieniecki9Barbara Adamik10Krzysztof Kaliszewski11Katarzyna Kiliś-Pstrusińska12Michał Pomorski13Marcin Protasiewicz14Marcin Madziarski15Janusz Sokołowski16Ewa A. Jankowska17Katarzyna Madziarska18Screening of Biological Activity Assays and Collection of Biological Material Laboratory, Wroclaw Medical University Biobank, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 221A, 50-556 Wroclaw, PolandScreening of Biological Activity Assays and Collection of Biological Material Laboratory, Wroclaw Medical University Biobank, Faculty of Pharmacy, Wroclaw Medical University, Borowska Street 221A, 50-556 Wroclaw, PolandClinical Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandStatistical Analysis Centre, Wroclaw Medical University, K. Marcinkowski Street 2-6, 50-368 Wroclaw, PolandStatistical Analysis Centre, Wroclaw Medical University, K. Marcinkowski Street 2-6, 50-368 Wroclaw, PolandClinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandInstitute of Heart Diseases, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Anaesthesiology and Intensive Therapy, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of General, Minimally Invasive and Endocrine Surgery, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Paediatric Nephrology, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Gynecology and Obstetrics, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandInstitute of Heart Diseases, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Rheumatology and Internal Medicine, University Hospital, Borowska Street 213, 50-556 Wroclaw, PolandDepartment of Emergency Medicine, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandInstitute of Heart Diseases, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandClinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, PolandAdvanced age is known to be a predictor with COVID-19 severity. Understanding of other disease progression factors may shorten the time from patient admission to applied treatment. The Veterans Health Administration COVID-19 (VACO index) was assumed to additionally anticipate clinical results of patients hospitalized with a proven infection caused by the SARS-CoV-2 virus. Methods: The medical records of 2183 hospitalized patients were retrospectively analyzed. Patients were divided into four risk-of-death categories: low risk, medium risk, high-risk, and extreme risk depending on their VACO index calculation. Results: Significant differences in the mortality at the hospital after three months of discharge and six months after discharge were noticed. For the patients in the extreme-risk group, mortality reached 37.42%, 62.81%, and 78.44% for in-hospital, three months of discharge, and six months of discharge, respectively. The mortality marked as high risk reached 20.38%, 37.19%, and 58.77%. Moreover, the secondary outcomes analysis acknowledged that patients classified as extreme risk were more likely to suffer from cardiogenic shock, myocardial infarction, myocardial injury, stroke, pneumonia, acute kidney injury, and acute liver dysfunction. Patients at moderate risk were more often admitted to ICU when compared to other patients. Conclusions: The usage of the VACO index, combined with an appropriate well-defined medical interview and past medical history, tends to be a helpful instrument in order to predict short-term mortality and disease progression based on previous medical records.https://www.mdpi.com/2077-0383/12/19/6262COVID-19VACO-indexSARS-CoV2mortality |
| spellingShingle | Agnieszka Matera-Witkiewicz Magdalena Krupińska Adrian Doroszko Małgorzata Trocha Katarzyna Giniewicz Krzysztof Kujawa Maciej Rabczyński Marta Obremska Edwin Kuznik Pawel Lubieniecki Barbara Adamik Krzysztof Kaliszewski Katarzyna Kiliś-Pstrusińska Michał Pomorski Marcin Protasiewicz Marcin Madziarski Janusz Sokołowski Ewa A. Jankowska Katarzyna Madziarska Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study Journal of Clinical Medicine COVID-19 VACO-index SARS-CoV2 mortality |
| title | Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study |
| title_full | Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study |
| title_fullStr | Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study |
| title_full_unstemmed | Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study |
| title_short | Usefulness of the Veterans Health Administration COVID-19 (VACO) Index for Predicting Short-Term Mortality among Patients of the COLOS Study |
| title_sort | usefulness of the veterans health administration covid 19 vaco index for predicting short term mortality among patients of the colos study |
| topic | COVID-19 VACO-index SARS-CoV2 mortality |
| url | https://www.mdpi.com/2077-0383/12/19/6262 |
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