Predicting Factors of Worse Prognosis in COVID-19: Results from a Cross-sectional Study on 52 Inpatients Admitted to the Internal Medicine Department.

covid-19 free triiodothyronine hypercholesterolemia interleukin 6 leukocytosis predicting factors sars-cov-2

Journal

Endocrine, metabolic & immune disorders drug targets
ISSN: 2212-3873
Titre abrégé: Endocr Metab Immune Disord Drug Targets
Pays: United Arab Emirates
ID NLM: 101269157

Informations de publication

Date de publication:
18 Jan 2024
Historique:
received: 18 10 2023
revised: 03 12 2023
accepted: 11 12 2023
medline: 20 1 2024
pubmed: 20 1 2024
entrez: 20 1 2024
Statut: aheadofprint

Résumé

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. 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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 OBJECTIVE
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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 38243977
pii: EMIDDT-EPUB-137509
doi: 10.2174/0118715303288042240111070057
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Giuseppe Lisco (G)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Antonio Giovanni Solimando (AG)

Guido Baccelli Unit of Internal Medicine, Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), School of Medicine, Aldo Moro University of Bari, 70124 Bari, Italy.

Assunta Stragapede (A)

Guido Baccelli Unit of Internal Medicine, Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), School of Medicine, Aldo Moro University of Bari, 70124 Bari, Italy.

Anna De Tullio (A)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Cristiana Laraspata (C)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Carola Laudadio (C)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Vito Angelo Giagulli (VA)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Marcella Prete (M)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Emilio Jirillo (E)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Annalisa Saracino (A)

Operative Unit of Infectious Diseases, Hospital-University Polyclinic of Bari, Bari, Italy.

Vito Racanelli (V)

Centre for Medical Sciences (CISMed), University of Trento, Trento, Italy.

Vincenzo Triggiani (V)

Interdisciplinary Department of Medicine, Section of Internal Medicine, Geriatrics, Endocrinology and Rare Diseases, School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.

Classifications MeSH