Predicting Factors of Worse Prognosis in COVID-19 : Results from a Cross-sectional Study on 52 Inpatients Admitted to the Internal Medicine Department
Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net..
BACKGROUND: The initial phases of the COVID-19 pandemic posed a real need for clinicians to identify patients at risk of poor prognosis as soon as possible after hospital admission.
AIM: The study aimed to assess the role of baseline anamnestic information, clinical parameters, instrumental examination, and serum biomarkers in predicting adverse outcomes of COVID-19 in a hospital setting of Internal Medicine.
METHODS: Fifty-two inpatients consecutively admitted to the Unit of Internal Medicine "Baccelli," Azienda Ospedaliero - Universitaria Policlinico of Bari (February 1 - May 31, 2021) due to confirmed COVID-19 were grouped into two categories based on the specific outcome: good prognosis (n=44), patients discharged at home after the acute phase of the infection; poor prognosis, a composite outcome of deaths and intensive care requirements (n=8). Data were extracted from medical records of patients who provided written informed consent to participate.
RESULTS: The two study groups had similar demographic, anthropometric, clinical, and radiological characteristics. Higher interleukin 6 (IL-6) levels and leucocyte count, and lower free triiodothyronine (fT3) levels were found in patients with poor than those with good prognosis. Higher IL-6 levels and leucocyte count, lower fT3 concentration, and pre-existing hypercholesterolemia were independent risk factors of poor outcomes in our study population. A predicting risk score, built by assigning one point if fT3 < 2 pg/mL, IL-6 >25 pg/mL, and leucocyte count >7,000 n/mm3, revealed that patients totalizing at least 2 points by applying the predicting score had a considerably higher risk of poor prognosis than those with scoring <2 points [OR 24.35 (1.32; 448), p = 0.03]. The weight of pre-existing hypercholesterolemia did not change the risk estimation.
CONCLUSION: Four specific baseline variables, one anamnestic (pre-existing hypercholesterolemia) and three laboratory parameters (leucocyte count, IL-6, and fT3), were significantly associated with poor prognosis as independent risk factors. To prevent adverse outcomes, the updated 4-point score could be useful in identifying at-risk patients, highlighting the need for specific trials to estimate the safety and efficacy of targeted treatments.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Endocrine, metabolic & immune disorders drug targets - (2024) vom: 18. Jan. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lisco, Giuseppe [VerfasserIn] |
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| Links: |
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| Themen: |
Covid-19 |
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| Anmerkungen: |
Date Revised 20.01.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.2174/0118715303288042240111070057 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367344661 |
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| 100 | 1 | |a Lisco, Giuseppe |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Predicting Factors of Worse Prognosis in COVID-19 |b Results from a Cross-sectional Study on 52 Inpatients Admitted to the Internal Medicine Department |
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| 500 | |a Date Revised 20.01.2024 | ||
| 500 | |a published: Print-Electronic | ||
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| 520 | |a Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net. | ||
| 520 | |a BACKGROUND: The initial phases of the COVID-19 pandemic posed a real need for clinicians to identify patients at risk of poor prognosis as soon as possible after hospital admission | ||
| 520 | |a AIM: The study aimed to assess the role of baseline anamnestic information, clinical parameters, instrumental examination, and serum biomarkers in predicting adverse outcomes of COVID-19 in a hospital setting of Internal Medicine | ||
| 520 | |a METHODS: Fifty-two inpatients consecutively admitted to the Unit of Internal Medicine "Baccelli," Azienda Ospedaliero - Universitaria Policlinico of Bari (February 1 - May 31, 2021) due to confirmed COVID-19 were grouped into two categories based on the specific outcome: good prognosis (n=44), patients discharged at home after the acute phase of the infection; poor prognosis, a composite outcome of deaths and intensive care requirements (n=8). Data were extracted from medical records of patients who provided written informed consent to participate | ||
| 520 | |a RESULTS: The two study groups had similar demographic, anthropometric, clinical, and radiological characteristics. Higher interleukin 6 (IL-6) levels and leucocyte count, and lower free triiodothyronine (fT3) levels were found in patients with poor than those with good prognosis. Higher IL-6 levels and leucocyte count, lower fT3 concentration, and pre-existing hypercholesterolemia were independent risk factors of poor outcomes in our study population. A predicting risk score, built by assigning one point if fT3 < 2 pg/mL, IL-6 >25 pg/mL, and leucocyte count >7,000 n/mm3, revealed that patients totalizing at least 2 points by applying the predicting score had a considerably higher risk of poor prognosis than those with scoring <2 points [OR 24.35 (1.32; 448), p = 0.03]. The weight of pre-existing hypercholesterolemia did not change the risk estimation | ||
| 520 | |a CONCLUSION: Four specific baseline variables, one anamnestic (pre-existing hypercholesterolemia) and three laboratory parameters (leucocyte count, IL-6, and fT3), were significantly associated with poor prognosis as independent risk factors. To prevent adverse outcomes, the updated 4-point score could be useful in identifying at-risk patients, highlighting the need for specific trials to estimate the safety and efficacy of targeted treatments | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a free triiodothyronine | |
| 650 | 4 | |a hypercholesterolemia | |
| 650 | 4 | |a interleukin 6 | |
| 650 | 4 | |a leukocytosis | |
| 650 | 4 | |a predicting factors | |
| 650 | 4 | |a sars-cov-2 | |
| 700 | 1 | |a Solimando, Antonio Giovanni |e verfasserin |4 aut | |
| 700 | 1 | |a Stragapede, Assunta |e verfasserin |4 aut | |
| 700 | 1 | |a De Tullio, Anna |e verfasserin |4 aut | |
| 700 | 1 | |a Laraspata, Cristiana |e verfasserin |4 aut | |
| 700 | 1 | |a Laudadio, Carola |e verfasserin |4 aut | |
| 700 | 1 | |a Giagulli, Vito Angelo |e verfasserin |4 aut | |
| 700 | 1 | |a Prete, Marcella |e verfasserin |4 aut | |
| 700 | 1 | |a Jirillo, Emilio |e verfasserin |4 aut | |
| 700 | 1 | |a Saracino, Annalisa |e verfasserin |4 aut | |
| 700 | 1 | |a Racanelli, Vito |e verfasserin |4 aut | |
| 700 | 1 | |a Triggiani, Vincenzo |e verfasserin |4 aut | |
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