Evidence-Based Prediction of COVID-19 Severity in Hospitalized Children

Abstract

Objective. In this study, by using clinical and paraclinical characteristics, we have aimed to predict the severity of the disease in hospitalized COVID-19 children. Method. This cross-sectional study was conducted on medical records about epidemiologic data, underlying diseases, symptoms, and laboratory tests from March to October, 2020, on 238 hospitalized confirmed COVID-19 paediatric cases in several children’s hospitals of Tehran, Ahwaz, Isfahan, and Bandar Abbas. Results. From 238 patients, 140 (59%) were male and most of them were in the age group of 1 to 5 years (34.6%). Among all hospitalized patients, 38% had an underlying disease and in total, 5% of cases were expired. Conclusion. Determining patient severity is essential for appropriate clinical decision making; our results showed that in hospitalized pediatric patients, by using several variables such as SGOT, CRP, ALC, LDH, WBC, O2sat, and ferritin, we can use clinical and paraclinical characteristics for predicting the severity of COVID-19.

Comparing clinical presentation, viremia, and immunological factors at various severity presentations in hospitalized children affected by COVID‐19: A cross‐sectional study

“…The most important of these were ventilator use, oxygen with reservoir, vasoactive drug use, and IVIG or corticosteroid therapy. 18 In our study, 76.5% of children experienced mild and moderate COVID‐19 (59.5% and 17%, respectively), while 23.5% experienced severe and critical forms of the disease (17% and 6.5%). Our data were consistent with those of other studies.…”

“…In the current study, some series of points played a role in determining the severity of COVID‐19 disease. The most important of these were ventilator use, oxygen with reservoir, vasoactive drug use, and IVIG or corticosteroid therapy 18 . In our study, 76.5% of children experienced mild and moderate COVID‐19 (59.5% and 17%, respectively), while 23.5% experienced severe and critical forms of the disease (17% and 6.5%).…”

Circulating Mid-regional Proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

“…The study population we included had different severities of illness, and the overall mortality rate was 19%. Many studies have used various biomarkers, such as CRP [39][40][41][42][43][44], PCT [39,43,45,46], IL-6 [39,43,46], WBC [40,[47][48][49], D-dimer [42,44,46,50,51], lactate dehydrogenase (LDH) [39,[42][43][44]46,47], N-terminal pro-B-type natriuretic peptide (NT-proBNP) [39,52,53], and Troponin T [39,54], and critical illness score, such as APACHEII [55][56][57], SOFA [55,56,[58][59][60], SAPS [61-64], and CURB65 [59,61,65], to evaluate the prognosis of patients with COVID-19. The APACHE II and SOFA scoring systems require the worst values of the clinical and biological parameters to be recorded within 24 h of admission [66].…”

Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis

“…The study population we included had different severities of illness, and the overall mortality rate was 19%. Many studies have used various biomarkers, such as CRP [ 39 – 44 ], PCT [ 39 , 43 , 45 , 46 ], IL-6 [ 39 , 43 , 46 ], WBC [ 40 , 47 – 49 ], D-dimer [ 42 , 44 , 46 , 50 , 51 ], lactate dehydrogenase (LDH) [ 39 , 42 – 44 , 46 , 47 ], N-terminal pro-B-type natriuretic peptide (NT-proBNP) [ 39 , 52 , 53 ], and Troponin T [ 39 , 54 ], and critical illness scores, such as APACHE II [ 55 – 57 ], SOFA [ 55 , 56 , 58 – 60 ], SAPS [ 61 – 64 ], and CURB65 [ 59 , 61 , 65 ], to evaluate the prognosis of patients with COVID-19. The APACHE II and SOFA scoring systems require the worst values of the clinical and biological parameters to be recorded within 24 h of admission [ 66 ].…”