The relationship of extent of initial radiological involvement with the need of intensive care, mortality rates, and laboratory parameters in Covid-19
Covid-19
mortality rate
extensiveness of radiological lesions
intensive care
Journal
Turkish journal of medical sciences
ISSN: 1303-6165
Titre abrégé: Turk J Med Sci
Pays: Turkey
ID NLM: 9441758
Informations de publication
Date de publication:
28 06 2021
28 06 2021
Historique:
received:
03
09
2020
accepted:
02
03
2021
entrez:
11
3
2021
pubmed:
12
3
2021
medline:
6
7
2021
Statut:
epublish
Résumé
It is very important for the efficient use of limited capacity and the success of treatment to predict patients who may need ICU with high mortality rate in the Covid-19 outbreak. In our study, it was aimed to investigate the value of the radiological involvement on initial CT in demonstrating the ICU transfer and mortality rate of patients. All PCR-positive patients were included in the study, whose CT, PCR, and laboratory values were obtained simultaneously at the time of first admission. Patients were divided into 4 groups in terms of the extent of radiological lesions. These groups were compared in terms of intensive care transfer needs and Covid-related mortality rates. A total of 477 patients were included in the study. Ninety of them were group 0 (no lung involvement), 162 were group 1 (mild lesion), 89 were group 2 (moderate lesion), and 136 were group 3 (severe lung involvement). A significant relationship was found between the extensiveness of the radiological lesion on CT and admission to intensive care and mortality rate. As the initial radiological involvement amounts increased, the rate of ICU transfer and mortality increased. The mortality rates of the groups were 0%, 3%, 12.3%, and 12.5%, respectively, and the difference was significant (p < 0.001). Similarly, the ICU transfer rates of the groups were 2.2%, 5.6%, 13.5%, and 17.7%, respectively, and the difference was significant (p < 0.001). In conclusion, in our study, the strong relationship between the initial radiological extent assessment and the need for intensive care and mortality rates has been demonstrated, and we believe that our results will make a significant contribution to increase the success of the health system in predicting patients who may progress, helping clinicians and managing pandemics.
Sections du résumé
Background/aim
It is very important for the efficient use of limited capacity and the success of treatment to predict patients who may need ICU with high mortality rate in the Covid-19 outbreak. In our study, it was aimed to investigate the value of the radiological involvement on initial CT in demonstrating the ICU transfer and mortality rate of patients.
Materials and methods
All PCR-positive patients were included in the study, whose CT, PCR, and laboratory values were obtained simultaneously at the time of first admission. Patients were divided into 4 groups in terms of the extent of radiological lesions. These groups were compared in terms of intensive care transfer needs and Covid-related mortality rates.
Results
A total of 477 patients were included in the study. Ninety of them were group 0 (no lung involvement), 162 were group 1 (mild lesion), 89 were group 2 (moderate lesion), and 136 were group 3 (severe lung involvement). A significant relationship was found between the extensiveness of the radiological lesion on CT and admission to intensive care and mortality rate. As the initial radiological involvement amounts increased, the rate of ICU transfer and mortality increased. The mortality rates of the groups were 0%, 3%, 12.3%, and 12.5%, respectively, and the difference was significant (p < 0.001). Similarly, the ICU transfer rates of the groups were 2.2%, 5.6%, 13.5%, and 17.7%, respectively, and the difference was significant (p < 0.001).
Conclusion
In conclusion, in our study, the strong relationship between the initial radiological extent assessment and the need for intensive care and mortality rates has been demonstrated, and we believe that our results will make a significant contribution to increase the success of the health system in predicting patients who may progress, helping clinicians and managing pandemics.
Identifiants
pubmed: 33705639
doi: 10.3906/sag-2009-49
pmc: PMC8283482
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1012-1020Informations de copyright
This work is licensed under a Creative Commons Attribution 4.0 International License.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest that may have influenced either the conduct or the presentation of the research. No funding has been received for this paper.
Références
JAMA. 2020 Apr 7;323(13):1239-1242
pubmed: 32091533
Cochrane Database Syst Rev. 2020 Jun 25;6:CD013652
pubmed: 32584464
J Med Virol. 2020 Sep;92(9):1449-1459
pubmed: 32242947
J Med Virol. 2021 Feb;93(2):719-725
pubmed: 32706393
Clin Chem Lab Med. 2020 Jun 25;58(7):1021-1028
pubmed: 32286245
JAMA. 2020 Apr 28;323(16):1545-1546
pubmed: 32167538
AJR Am J Roentgenol. 2020 May;214(5):1072-1077
pubmed: 32125873
Radiology. 2020 Aug;296(2):E32-E40
pubmed: 32101510
AJR Am J Roentgenol. 2020 Jul;215(1):87-93
pubmed: 32174129
PLoS One. 2020 Nov 17;15(11):e0241955
pubmed: 33201896
Lancet. 2020 Mar 28;395(10229):1054-1062
pubmed: 32171076
J Med Virol. 2020 Oct;92(10):1875-1883
pubmed: 32441789