Related Experiment Video
Updated: Jun 12, 2025
A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Creatine Kinase as a Predictor of Disease Severity in Children with COVID-19
Alireza Nateghian1, Marzieh Nojomi2, Mahshid Roohravan Benis2
1Department of Pediatric Infectious Disease, Aliasghar Children's Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Insights
Creatine Kinase (CK) levels predict severe COVID-19 in children. Identifying these predictors aids in early risk stratification and tailored care for pediatric COVID-19 patients, improving outcomes.
Area of Science:
- Pediatric Infectious Diseases
- Clinical Biochemistry
Background:
- Most children with COVID-19 have mild or no symptoms.
- However, a subset of pediatric patients are at risk for severe illness.
- Identifying predictors of severe COVID-19 in children is crucial for prevention and management.
Purpose of the Study:
- To identify predictors of COVID-19 severity in children.
- To investigate the role of laboratory markers and underlying conditions in disease severity.
Main Methods:
- A cross-sectional study included 317 children under 18 with confirmed COVID-19 or pulmonary symptoms in Tehran.
- Data collected included demographic, laboratory, and clinical parameters.
- Severity was assessed using a scoring protocol, with statistical analysis performed using SPSS.
Main Results:
- Creatine Kinase (CK) was identified as a significant predictor of COVID-19 severity in children.
- Several laboratory markers including Hemoglobin, AST, ALT, CRP, LDH, D-dimer, Ferritin, and Fibrinogen showed significant relationships with severity.
- Most underlying conditions, excluding asthma, were significantly associated with increased disease severity.
Conclusions:
- Creatine Kinase (CK) can serve as a predictor for severe COVID-19 in the pediatric population.
- Integrating CK assessment into clinical practice can facilitate timely risk stratification and personalized care for children with COVID-19.
Background:
The majority of children with COVID-19 infection experience asymptomatic or mild disease, but some of them are at risk of developing severe illness. Determination of predictors of severe disease can help to prevent this form of disease in children. The aim of the current study was to determine the predictors of disease severity of COVID-19 infection based on laboratory markers and underlying conditions in children.
Methods:
This cross-sectional study was conducted in Iran from May 2021 to March 2022. Thirty hundred and seventeen children under 18 years old with positive tests or pulmonary manifestations of COVID-19 referred to a teaching hospital in Tehran were included in the study. Demographic, laboratory, and clinical parameters of included children were measured. The participants were classified into three severity groups based on a severity-scoring protocol. Data was analyzed using SPSS software with chi-square, analysis of variance (ANOVA) tests, and linear generalized model. Statistical significance was considered at 0.05.
Results:
Among 317 children, 186 patients (58.7%) were male. The mean age of the participants was 4.75 ± 4.47 years old. Examination of clinical factors showed cough (64%), Malaise (57.7%), and Tachypnea (35.3%) were the most frequent findings among the subjects. Employing the severity scoring protocol, most patients (69.1%) were classified into the mild group. There was a significant relationship between the severity of COVID-19 and the level of Hemoglobin, Aspartate Transaminase (AST), Alanine Transaminase (ALT), C-reactive protein (CRP), Lactate Dehydrogenase (LDH), Creatine Kinase (CK), D-dimer, Ferritin, and Fibrinogen (P<0.001). Creatine Kinase was found to be a predictor of COVID-19 severity in adjusted model. All underlying conditions, except asthma, were significantly associated with disease severity.
Conclusion:
In our study, it was determined that CK could be considered a predictor of the severity of COVID-19 in children. These results suggest that integrating CK assessment into routine clinical protocols may aid healthcare providers in timely risk stratification and personalized patient care approaches.
More Related Videos
15:43Assessment of Mitochondrial Functions and Cell Viability in Renal Cells Overexpressing Protein Kinase C Isozymes
Published on: January 7, 2013
07:40Impact of High-intensity Interval Exercise and Moderate-Intensity Continuous Exercise on the Cardiac Troponin T Level at an Early Stage of Training
Published on: October 10, 2019
Related Concept Videos
01:20Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
01:30Acute Coronary Syndrome III: Diagnostic studies
01:27Myocarditis II: Clinical features and Diagnostic Tests
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
01:30Acute Kidney Injury IV: Diagnostic Studies and Prevention
01:30Acute Coronary SyndromeI: Introduction