Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality
The mortality of COVID-19 patients has left the world devastated. Many scoring systems have been developed to predict the mortality of COVID-19 patients, but several scoring components cannot be carried out in limited health facilities. Herein, the authors attempted to create a new and easy scoring...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Pathophysiology |
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| Online Access: | https://www.mdpi.com/1873-149X/30/3/25 |
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| author | Choirina Windradi Tri Pudy Asmarawati Alfian Nur Rosyid Erika Marfiani Bagus Aulia Mahdi Okla Sekar Martani Giarena Giarena Esthiningrum Dewi Agustin Milanitalia Gadys Rosandy |
| author_facet | Choirina Windradi Tri Pudy Asmarawati Alfian Nur Rosyid Erika Marfiani Bagus Aulia Mahdi Okla Sekar Martani Giarena Giarena Esthiningrum Dewi Agustin Milanitalia Gadys Rosandy |
| author_sort | Choirina Windradi |
| collection | DOAJ |
| description | The mortality of COVID-19 patients has left the world devastated. Many scoring systems have been developed to predict the mortality of COVID-19 patients, but several scoring components cannot be carried out in limited health facilities. Herein, the authors attempted to create a new and easy scoring system involving mean arterial pressure (MAP), PF Ratio, or SF ratio-respiration rate (SF Ratio-R), and lymphocyte absolute, which were abbreviated as MPL or MSLR functioning, as a predictive scoring system for mortality within 30 days for COVID-19 patients. Of 132 patients with COVID-19 hospitalized between March and November 2021, we followed up on 96 patients. We present bivariate and multivariate analyses as well as the area under the curve (AUC) and Kaplan–Meier charts. From 96 patients, we obtained an MPL score of 3 points: MAP < 75 mmHg, PF Ratio < 200, and lymphocyte absolute < 1500/µL, whereas the MSLR score was 6 points: MAP < 75 mmHg, SF Ratio < 200, lymphocyte absolute < 1500/µL, and respiration rate 24/min. The MPL cut-off point is 2, while the MSLR is 4. MPL and MSLR have the same sensitivity (79.1%) and specificity (75.5%). The AUC value of MPL vs. MSLR was 0.802 vs. 0.807. The MPL ≥ 2 and MSLR ≥ 4 revealed similar predictions for survival within 30 days (<i>p</i> < 0.05). Conclusion: MPL and MSLR scores are potential predictors of mortality in COVID-19 patients within 30 days in a resource-limited country. |
| first_indexed | 2024-03-10T22:17:39Z |
| format | Article |
| id | doaj.art-6ded9da46be44e2884486e7a62da48e5 |
| institution | Directory Open Access Journal |
| issn | 1873-149X |
| language | English |
| last_indexed | 2024-03-10T22:17:39Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Pathophysiology |
| spelling | doaj.art-6ded9da46be44e2884486e7a62da48e52023-11-19T12:23:21ZengMDPI AGPathophysiology1873-149X2023-08-0130331432610.3390/pathophysiology30030025Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 MortalityChoirina Windradi0Tri Pudy Asmarawati1Alfian Nur Rosyid2Erika Marfiani3Bagus Aulia Mahdi4Okla Sekar Martani5Giarena Giarena6Esthiningrum Dewi Agustin7Milanitalia Gadys Rosandy8Department of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, IndonesiaDepartment of Internal Medicine, Faculty of Medicine, Brawijaya University, Malang 65145, East Java, IndonesiaThe mortality of COVID-19 patients has left the world devastated. Many scoring systems have been developed to predict the mortality of COVID-19 patients, but several scoring components cannot be carried out in limited health facilities. Herein, the authors attempted to create a new and easy scoring system involving mean arterial pressure (MAP), PF Ratio, or SF ratio-respiration rate (SF Ratio-R), and lymphocyte absolute, which were abbreviated as MPL or MSLR functioning, as a predictive scoring system for mortality within 30 days for COVID-19 patients. Of 132 patients with COVID-19 hospitalized between March and November 2021, we followed up on 96 patients. We present bivariate and multivariate analyses as well as the area under the curve (AUC) and Kaplan–Meier charts. From 96 patients, we obtained an MPL score of 3 points: MAP < 75 mmHg, PF Ratio < 200, and lymphocyte absolute < 1500/µL, whereas the MSLR score was 6 points: MAP < 75 mmHg, SF Ratio < 200, lymphocyte absolute < 1500/µL, and respiration rate 24/min. The MPL cut-off point is 2, while the MSLR is 4. MPL and MSLR have the same sensitivity (79.1%) and specificity (75.5%). The AUC value of MPL vs. MSLR was 0.802 vs. 0.807. The MPL ≥ 2 and MSLR ≥ 4 revealed similar predictions for survival within 30 days (<i>p</i> < 0.05). Conclusion: MPL and MSLR scores are potential predictors of mortality in COVID-19 patients within 30 days in a resource-limited country.https://www.mdpi.com/1873-149X/30/3/25COVID-19infectious diseasescoringpredictionmortality |
| spellingShingle | Choirina Windradi Tri Pudy Asmarawati Alfian Nur Rosyid Erika Marfiani Bagus Aulia Mahdi Okla Sekar Martani Giarena Giarena Esthiningrum Dewi Agustin Milanitalia Gadys Rosandy Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality Pathophysiology COVID-19 infectious disease scoring prediction mortality |
| title | Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality |
| title_full | Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality |
| title_fullStr | Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality |
| title_full_unstemmed | Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality |
| title_short | Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality |
| title_sort | hemodynamic oxygenation and lymphocyte parameters predict covid 19 mortality |
| topic | COVID-19 infectious disease scoring prediction mortality |
| url | https://www.mdpi.com/1873-149X/30/3/25 |
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