The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study
This study aimed to develop a scoring system to predict mortality risk in hospitalised COVID-19 patients using clinical, laboratory, and imaging data. A retrospective analysis was conducted at a single centre, including 325 patients admitted between March 2020 and December 2021. The data collected i...
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MDPI AG
2025-02-01
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| Series: | COVID |
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| Online Access: | https://www.mdpi.com/2673-8112/5/2/21 |
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| author | Zeynep Kumral Ali Canturk Ahmet Anil Baskurt Abdullah Taylan Ayse Colak Ozer Badak |
| author_facet | Zeynep Kumral Ali Canturk Ahmet Anil Baskurt Abdullah Taylan Ayse Colak Ozer Badak |
| author_sort | Zeynep Kumral |
| collection | DOAJ |
| description | This study aimed to develop a scoring system to predict mortality risk in hospitalised COVID-19 patients using clinical, laboratory, and imaging data. A retrospective analysis was conducted at a single centre, including 325 patients admitted between March 2020 and December 2021. The data collected included patient demographics, laboratory results, medications, and thoracic CT images. Pulmonary involvement was assessed using the CO-RADS classification, while coronary artery calcification (CAC), aortic calcification, and epicardial adipose tissue were evaluated with specific scoring methods. Mortality predictors were identified through univariate and multivariate Cox proportional hazards models. The key mortality predictors identified in this study were an age above 67 years, elevated high-sensitivity troponin levels, a heart rate greater than 100 bpm, an oxygen saturation below 90%, the presence of CAC and aortic calcification, low haemoglobin levels, and the absence of acetylsalicylic acid (ASA) use at admission. The developed HEARRT-C scoring system demonstrated a strong predictive ability, with an area under the curve (AUC) of 0.91, showing 81% sensitivity and 86% specificity for predicting mortality. This study concluded that the HEARRT-C score is an effective tool for early risk stratification in COVID-19 patients, which may guide management decisions and emphasise the importance of cardiovascular factors and the potential protective role of ASA. |
| format | Article |
| id | doaj-art-7ea0d8e46f1544fda72b2b524385506e |
| institution | DOAJ |
| issn | 2673-8112 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | COVID |
| spelling | doaj-art-7ea0d8e46f1544fda72b2b524385506e2025-08-20T02:44:49ZengMDPI AGCOVID2673-81122025-02-01522110.3390/covid5020021The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective StudyZeynep Kumral0Ali Canturk1Ahmet Anil Baskurt2Abdullah Taylan3Ayse Colak4Ozer Badak5Unye State Hospital, Ordu 52300, TurkeySBU Sultan 2. Abdülhamid Han Training and Research Hospital, İstanbul 34668, TurkeyIzmir Cigli Training and Research Hospital, Izmir 8780, TurkeyDr. Suat Seren Chest Diseases and Surgery Training and Research Hospital, Izmir 35170, TurkeyDokuz Eylul University Hospital, Izmir 35330, TurkeyDokuz Eylul University Hospital, Izmir 35330, TurkeyThis study aimed to develop a scoring system to predict mortality risk in hospitalised COVID-19 patients using clinical, laboratory, and imaging data. A retrospective analysis was conducted at a single centre, including 325 patients admitted between March 2020 and December 2021. The data collected included patient demographics, laboratory results, medications, and thoracic CT images. Pulmonary involvement was assessed using the CO-RADS classification, while coronary artery calcification (CAC), aortic calcification, and epicardial adipose tissue were evaluated with specific scoring methods. Mortality predictors were identified through univariate and multivariate Cox proportional hazards models. The key mortality predictors identified in this study were an age above 67 years, elevated high-sensitivity troponin levels, a heart rate greater than 100 bpm, an oxygen saturation below 90%, the presence of CAC and aortic calcification, low haemoglobin levels, and the absence of acetylsalicylic acid (ASA) use at admission. The developed HEARRT-C scoring system demonstrated a strong predictive ability, with an area under the curve (AUC) of 0.91, showing 81% sensitivity and 86% specificity for predicting mortality. This study concluded that the HEARRT-C score is an effective tool for early risk stratification in COVID-19 patients, which may guide management decisions and emphasise the importance of cardiovascular factors and the potential protective role of ASA.https://www.mdpi.com/2673-8112/5/2/21COVID-19coronary artery calciumaortic calcificationsthorax CTacetylsalicylic acidprimary prevention |
| spellingShingle | Zeynep Kumral Ali Canturk Ahmet Anil Baskurt Abdullah Taylan Ayse Colak Ozer Badak The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study COVID COVID-19 coronary artery calcium aortic calcifications thorax CT acetylsalicylic acid primary prevention |
| title | The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study |
| title_full | The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study |
| title_fullStr | The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study |
| title_full_unstemmed | The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study |
| title_short | The HEARRT-C Score: Is Aspirin Protective in COVID-19 Patients? A Single-Centre Retrospective Study |
| title_sort | hearrt c score is aspirin protective in covid 19 patients a single centre retrospective study |
| topic | COVID-19 coronary artery calcium aortic calcifications thorax CT acetylsalicylic acid primary prevention |
| url | https://www.mdpi.com/2673-8112/5/2/21 |
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