Characteristics of Multisystem Inflammatory Syndrome in Children Across COVID-19 Variants in Vojvodina
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design an Setting
2.2. Participants
2.3. Variables and Data Sources
2.4. Statistical Methods
3. Results
3.1. Participants
3.2. Clinical Data
3.3. Laboratory and Radiological Data
3.4. Laboratory Data
3.5. Radiography and Imaging Data
3.6. Therapy
3.7. Acute Complications
3.8. Long-Term Outcomes
4. Discussion
Limitations of the Study
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hao, Y.J.; Wang, Y.L.; Wang, M.Y.; Zhou, L.; Shi, J.Y.; Cao, J.M.; Wang, D.P. The origins of COVID-19 pandemic: A brief overview. Transbound. Emerg. Dis. 2022, 69, 3181–3197. [Google Scholar] [CrossRef] [PubMed]
- Mentor, G.; Farrar, D.S.; Di Chiara, C.; Dufour, M.S.; Valois, S.; Taillefer, S.; Drouin, O.; Renaud, C.; Kakkar, F. The Effect of Age and Comorbidities: Children vs. Adults in Their Response to SARS-CoV-2 Infection. Viruses 2024, 16, 801. [Google Scholar] [CrossRef] [PubMed]
- Molloy, E.J.; Nakra, N.; Gale, C.; Dimitriades, V.R.; Lakshminrusimha, S. Multisystem inflammatory syndrome in children (MIS-C) and neonates (MIS-N) associated with COVID-19: Optimizing definition and management. Pediatr. Res. 2023, 93, 1499–1508. [Google Scholar] [CrossRef] [PubMed]
- Henderson, L.A.; Canna, S.W.; Friedman, K.G.; Gorelik, M.; Lapidus, S.K.; Bassiri, H.; Behrens, E.M.; Ferris, A.; Kernan, K.F.; Schulert, G.S.; et al. American College of Rheumatology Clinical Guidance for Multisystem Inflammatory Syndrome in Children Associated with SARS–CoV-2 and Hyperinflammation in Pediatric COVID-19: Version 2. Arthritis Rheumatol. 2021, 73, e13–e29. [Google Scholar] [CrossRef] [PubMed]
- Henderson, L.A.; Canna, S.W.; Friedman, K.G.; Gorelik, M.; Lapidus, S.K.; Bassiri, H.; Behrens, E.M.; Kernan, K.F.; Schulert, G.S.; Seo, P.; et al. American College of Rheumatology clinical guidance for multisystem inflammatory syndrome in children associated with SARS–CoV-2 and hyperinflammation in pediatric COVID-19: Version 3. Arthritis Rheumatol. 2022, 74, e1–e20. [Google Scholar] [CrossRef] [PubMed]
- Pino, R.; Antonanzas, J.M.; Paredes-Carmona, F.; Perramon, A.; Riviere, J.G.; Coma, M.; Martínez-Mejías, A.; Ripoll, F.; López, N.; Conti, R.; et al. Multisystem inflammatory syndrome in children and SARS-CoV-2 variants: A two-year ambispective multicentric cohort study in Catalonia, Spain. Eur. J. Pediatr. 2023, 182, 1897–1909. [Google Scholar] [CrossRef]
- World Health Organization. Multisystem Inflammatory Syndrome in Children and Adolescents with COVID-19. 2020. Available online: https://www.who.int/publications/i/item/multisystem-inflammatory-syndrome-in-children-and-adolescents-with-covid-19 (accessed on 1 October 2024).
- Centers for Disease Control and Prevention. Emergency Preparedness and Response: Health Alert Network. 2020. Available online: https://archive.cdc.gov/#/details?url=https://emergency.cdc.gov/han/2020/han00432.asp (accessed on 1 October 2024).
- Hillary, V.E.; Ceasar, S.A. An update on COVID-19: SARS-CoV-2 variants, antiviral drugs, and vaccines. Heliyon 2023, 9, e13952. [Google Scholar] [CrossRef]
- Laird-Gion, J.; Dionne, A.; Gauvreau, K.; Baker, A.; Day-Lewis, M.; de Ferranti, S.; Friedman, K.; Khan, N.; Mahanta, S.; Son, M.B.; et al. MIS-C across three SARS-CoV-2 variants: Changes in COVID-19 testing and clinical characteristics in a cohort of U.S. children. Eur. J. Pediatr. 2023, 182, 2865–2872. [Google Scholar] [CrossRef]
- Bellini, T.; Brisca, G.; Mariani, M.; Caorsi, R.; Bustaffa, M.; Drago, E.; Strati, M.F.; Piccotti, E.; Moscatelli, A.; Gattorno, M.; et al. Epidemiological and clinical evolution of multisystem inflammatory syndrome in children throughout the SARS-CoV-2 pandemic in a tertiary Italian children’s hospital. Acta Paediatr. 2024, 113, 523–530. [Google Scholar] [CrossRef]
- Ptak, K.; Szymonska, I.; Olchawa-Czech, A.; Kukla, K.; Cisowsk, M.; Kwinta, P. Comparison of the course of multisystem inflammatory syndrome in children during different pandemic waves. Eur. J. Pediatr. 2023, 82, 1647–1656. [Google Scholar] [CrossRef]
- von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P.; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)statement: Guidelines for reporting observational studies. J. Clin. Epidemiol. 2008, 61, 344–349. [Google Scholar] [CrossRef] [PubMed]
- Khan, R.S.; Ordog, T.; Sandy DHon, S.D.; Schmitz, A.H.; Thattaliyath, B.; Sharathkumar, A.A. Evolution of Cardiovascular Findings in Multisystem Inflammatory Syndrome in Children (MIS-C) Across COVID-19 Variants: Common Trends and Unusual Presentations. Pediatr. Cardiol. 2024, 45, 552–559. [Google Scholar] [CrossRef] [PubMed]
- Sperotto, F.; Gutierrez-Sacristan, A.; Makwana, S.; Li, X.; Rofeberg, V.N.; Cai, T.; Bourgeoisd, F.T.; Omenne, G.S.; Hanauerf, D.A.; Sáez, C.; et al. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: A multinational study from the 4CE consortium. eClinicalMedicine 2023, 64, 102212. [Google Scholar] [CrossRef]
- Benvenuto, S.; Avcin, T.; Taddio, A. Multisystem inflammatory syndrome in children: A review. Acta Paediatr. 2024, 113, 2011–2023. [Google Scholar] [CrossRef]
- Hoste, L.; Van Paemel, R.; Haerynck, F. Multisystem inflammatory syndrome in children related to COVID-19: A systematic review. Eur. J. Pediatr. 2021, 180, 2019–2034. [Google Scholar] [CrossRef]
- Santos, M.O.; Gonçalves, L.C.; Silva, P.A.N.; Moreira, A.L.E.; Ito, C.R.M.; Peixoto, F.A.O.; Wastowski, I.J.; Carneiro, L.C.; Avelino, M.A.G. Multisystem inflammatory syndrome (MIS-C): A systematic review and meta-analysis of clinical characteristics, treatment, and outcomes. J. Pediatr. 2022, 98, 338–349. [Google Scholar] [CrossRef]
- Wu, Y.; Guo, Z.; Yuan, J.; Cao, G.; Wang, Y.; Gao, P.; Liu, J.; Liu, M. Duration of viable virus shedding and polymerase chain reaction positivity of the SARS-CoV-2 Omicron variant in the upper respiratory tract: A systematic review and meta-analysis. Int. J. Infect. Dis. 2023, 129, 228–235. [Google Scholar] [CrossRef] [PubMed]
- Kaneta, K.; Malhotra, S.; Szmuszkovicz, J.; Mohandas, S.; White, S.; Wu, S. Expanding the Differential for Alternative Diagnoses in the Workup of Multisystem Inflammatory Syndrome in Children. Pediatr. Infect. Dis. J. 2023, 42, 590–593. [Google Scholar] [CrossRef]
- Moreno Rojas, A.F.; Bainto, E.; Harvey, H.; Tremoulet, A.H.; Burns, J.C.; Dummer, K.B. SARS-CoV-2 variants are associated with different clinical courses in children with MIS-C. World J. Pediatr. 2024, 20, 143–152. [Google Scholar] [CrossRef]
- Jiang, L.; Tang, K.; Irfan, O.; Li, X.; Zhang, E.; Bhutta, Z. Epidemiology, clinical features, and outcomes of multisystem inflammatory syndrome in children (MIS-C) and adolescents—A live systematic review and meta-analysis. Curr. Pediatr. Rep. 2022, 10, 19–30. [Google Scholar] [CrossRef]
- Son, M.B.F.; Murray, N.; Friedman, K.; Young, C.C.; Newhams, M.M.; Feldstein, L.R.; Loftis, L.L.; Tarquinio, K.M.; Singh, A.R.; Heidemann, S.M.; et al. Multisystem inflammatory syndrome in children—Initial therapy and outcomes. N. Engl. J. Med. 2021, 385, 23–34. [Google Scholar] [CrossRef]
- Ludwikowska, K.M.; Okarska-Napierała, M.; Dudek, N.; Tracewski, P.; Kusa, J.; Piwonski, K.P.; Afelt, A.; Cysewski, D.; Biela, M.; Werner, B.; et al. Distinct characteristics of multisystem inflammatory syndrome in children in Poland. Sci Rep. 2021, 11, 23562. [Google Scholar] [CrossRef] [PubMed]
- Whittaker, E.; Bamford, A.; Kenny, J.; Kaforou, M.; Jones, C.E.; Shah, P.; Ramnarayan, P.; Fraisse, A.; Miller, O.; Davies, P.; et al. Clinical characteristics of 58 children with a pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2. JAMA 2020, 324, 259–269. [Google Scholar] [CrossRef] [PubMed]
- Bautista-Rodriguez, C.; Sanchez-de-Toledo, J.; Clark, B.C.; Herberg, J.; Bajolle, F.; Randanne, P.C.; Salas-Mera, D.; Foldvari, S.; Chowdhury, D.; Munoz, R.; et al. Multisystem inflammatory syndrome in children: An international survey. Pediatrics 2021, 147, e2020024554. [Google Scholar] [CrossRef] [PubMed]
- Su, S.; Hu, W.; Chen, X.; Ren, Y.; Lu, Y.; Shi, J.; Zhang, T.; Zhang, H.; Wang, M.; Wang, Y.; et al. Cardiac injury progression in children with multisystem inflammatory syndrome associated with SARS-CoV-2 infection: A review. Front. Pediatr. 2024, 12, 1348016. [Google Scholar] [CrossRef]
- Rivas, M.N.; Arditi, M. Kawasaki Disease and Multisystem Inflammatory Syndrome in Children: Common Inflammatory Pathways of Two Distinct Diseases. Rheum. Dis. Clin. N. Am. 2023, 49, 647–659. [Google Scholar]
- Kostik, M.M.; Bregel, L.V.; Avrusin, I.S.; Dondurei, E.A.; Matyunova, A.E.; Efremova, O.S.; Isupova, E.A.; Kornishina, T.L.; Masalova, V.V.; Snegireva, L.S.; et al. Distinguishing between multisystem inflammatory syndrome, associated with COVID-19 in children and the Kawasaki disease: Development of preliminary criteria based on the data of the retrospective multicenter cohort study. Front. Pediatr. 2021, 9, 787353. [Google Scholar] [CrossRef]
- Bowen, A.; Miller, A.D.; Zambrano, L.D.; Wu, M.J.; Oster, M.E.; Godfred-Cato, S.; Belay, E.D.; Campbell, A.P. Demographic and clinical factors associated with death among persons. Open Forum. Infect. Dis. 2021, 8, ofab388. [Google Scholar] [CrossRef]
Characteristic | Total n = 58 | Alpha n = 24 (41%) | Delta n = 19 (33%) | Omicron n = 15 (26%) | p Value |
---|---|---|---|---|---|
Age (years), median [IQR] | 7.8 [2.8–11.0] | 9.15 [4.6–11.75] | 7.8 [2.8–13] | 6.5 [2.3–10.6] | 0.34 |
Female (%) Male (%) | 21 (36.2) 37 (63.8) | 7 (29.2) 17 (70.8) | 9 (47.4) 10 (52.6) | 5 (33.3) 10 (66.7) | 0.39 |
Comorbidities, (%) | 27 (49.09) | 11 (47.83) | 10 (55.56) | 6 (42.86) | 0.79 |
BMI percentile, median [IQR] | 45 [11–84] | 67 [24–90] | 61 [20–95] | 16 [10–40] | 0.07 |
Confirmed SARS-CoV-2 infection in the family, (%) | 13 (22.4) | 9 (37.5) | 2 (10.5) | 2 (13.3) | 0.10 |
Confirmed SARS-CoV-2 infection in the patient’s past hystory, (%) | 23 (39.7) | 10 (41.7) | 10 (52.6) | 3 (20.0) | 0.17 |
Timing of preceding illness or preceding SARS-CoV-2 exposure (weeks), median [IQR] | 4 [2–4] | 4 [2–6] | 2.5 [2–4] | 4 [3–8] | 0.20 |
SARS-CoV-2 at MIS-C diagnosis Antigen test positive, (%) PCR positive, (%) SARS-CoV-2 IgM positive, (%) SARS-CoV-2 IgM (RR < 1.0 BAU/mL) median [IQR] SARS-CoV-2 IgG positive, (%) SARS-CoV-2 IgG (RR < 7.1 BAU/mL) median [IQR] | 3 (5.2) 8 (13.8) 4 (6.9) 2.37 [1.97–7.47] 40 (68.9) 145.2 [55.5–51.1] | 2 (8.3) 4 (16.7) 0 (0.0) none / 13 (54.2) 309.5 [25.2–645.0] | 1 (5.3) 4 (21.0) 3 (15.8) 2.7 [1.9–12.2] 12 (63.1) 168.4 [67.2–341.7] | 0 (0.0) 0 (0.0) 1 (6.7) 2.0 [2.0–2.0] 15 (100.0) 109.3 [55.5–451.1] | 0.78 0.17 0.12 n.a. 0.003 0.97 |
Fever, median [IQR] | 39.5 [39.1–40.0] | 39.5 [39.2–40.0] | 39.5 [39.0–39.9] | 39.5 [39.0–40.0] | 0.82 |
Duration of fever (days), median [IQR] | 6 [5–8] | 7 [5–8] | 8 [5–9] | 6 [3–7] | 0.60 |
Rash, (%) | 24 (41.4) | 10 (41.7) | 8 (42.1) | 6 (40.0) | 0.99 |
Bilateral bulbar conjunctival injection, (%) | 20 (34.5) | 11 (45.8) | 5 (26.3) | 4 (26.7) | 0.34 |
Changes in lips/oral cavity, (%) | 19 (32.7) | 10 (41.7) | 4 (21.0) | 5 (33.3) | 0.33 |
Cervical lymphadenopathy (>1.5 cm), (%) | 25 (43.1) | 9 (37.5) | 7 (36.8) | 9 (60.0) | 0.33 |
Edema of hands/feet, (%) | 8 (13.8) | 4 (16.7) | 3 (15.8) | 1 (6.7) | 0.71 |
Erythema of palms/soles, (%) | 7 (12.1) | 4 (16.7) | 1 (5.3) | 2 (13.4) | 0.52 |
Respiratory symptoms, (%) | 28 (48.3) | 9 (37.5) | 14 (73.7) | 5 (33.3) | 0.028 |
Gastrointestinal symptoms, (%) | 47 (81.0) | 21 (87.5) | 16 (82.2) | 10 (66.7) | 0.30 |
Neurologycal symptoms, (%) | 13 (22.4) | 5 (20.8) | 4 (21.0) | 4 (26.7) | 0.85 |
Hypotension *, (%) | 4 (6.9) | 1 (4.2) | 1 (5.3) | 2 (13.4) | 0.67 |
Other symptoms, (%) | 9 (15.5) | 4 (16.7) | 3 (15.8) | 2 (13.4) | 0.99 |
Findings | Total n = 58 | Alpha n = 24 (41%) | Delta n = 19 (33%) | Omicron n = 15 (26%) | p Value |
---|---|---|---|---|---|
Erytrocyte sedimentation (mm/h), median [IQR] | 65 [47–75] | 59 [48.5–87.0] | 68 [52–75] | 54 [30–68] | 0.34 |
Leukocytes (RR 5–10 × 109/L), median [IQR] Leukocytosis, (%) Leukopenia, (%) | 11.1 [6.95–17.50] 32 (55.2) 2 (3.4) | 10.2 [6.95–14.30] 10 (41.7) 1 (4.2) | 15.2 [9.8–21.4] 13 (68.4) 1 (5.3) | 11.3 [8.1–17.7] 9 (60.0) 0 (0.0) | 0.16 0.21 0.99 |
Neutrophils (RR 2.5–8.5 × 109/L), median [IQR] Neutrophilia, (%) | 9.15 [5.5–13.39] 37 (63.8) | 8.50 [5.04–11.79] 14 (58.3) | 12.2 [7.17–15.27] 15 (78.9) | 9.15 [5.4–13.14] 9 (60.0) | 0.15 0.32 |
Lymphocytes (1.3–4.5 × 109/L), median [IQR] Lymphopenia, (%) | 1.33 [0.82–2.21] 18 (31.0) | 1.30 [0.81–1.93] 8 (33.3) | 1.79 [0.76–3.43] 7 (36.8) | 1.45 [1–2.21] 3 (20.0) | 0.48 0.39 |
Hemoglobin (RR 100–140 g/L), median [IQR] Anemia, (%) | 105 [94–120] 39 (67.2) | 103.5 [94–120.5] 16 (66.7) | 108 [97–120] 14 (73.7) | 103 [89–120] 9 (60.0) | 0.82 0.68 |
Platelets (RR 150–400 × 109/L), median [IQR] Thrombocytosis, (%) Thrombocytopenia, (%) | 250 [202–364] 9 (15.5) 0 (0.0) | 258.5 [200–296] 2 (8.3) 0 (0.0) | 300 [222–410] 3 (15.8) 0 (0.0) | 210 [184–509] 4 (26.7) 0 (0.0) | 0.33 0.35 |
C-reactive protein (RR < 5 mg/L), median [IQR] Raised CRP, (%) | 163 [106–249.9] 58 (100) | 190 [129.4–249.3] 24 (100) | 160 [76.6–249] 19 (100.0) | 156 [63–262] 15 (100.0) | 0.54 0.99 |
Fibrinogen (RR 1.86–4 g//L), median [IQR] Raised fibrinogen, (%) | 5.61 [4.80–7.58] 56 (96.6) | 5.60 [4.94–7.15] 23 (95.8) | 5.47 [4.46–7.68] 18 (94.7) | 5.9 [5.36–7.71] 15 (100.0) | 0.64 0.99 |
Feritin (RR 22–275 ug/L), median [IQR] Raised feritin, (%) | 438 [284–715] 45 (77.6) | 345 [230–637.5] 18 (75.0) | 500 [240–879] 13 (68.4) | 468 [290–979] 14 (93.3) | 0.53 0.20 |
Prokalcitonin (RR < 0.05 ng/mL), median [IQR] Raised PCT, (%) | n = 32 2.57 [0.89–8.41] 29 (90.6) | n = 12 3.64 [0.92–11.08] 10 (83.3) | n = 9 0.98 [0.61–6.19] 8 (88.9) | n = 11 3.19 [2.43–17.9] 11 (100.0) | 0.32 0.48 |
Interleukin-6 (RR < 7 pg/mL), median [IQR] Raised IL-6, (%) | n = 55 83 [35.1–384] 55 (100.0) | n = 22 66.3 [39.8–338.2] 22 (100.0) | n = 19 81.0 [31.9–360] 19 (100.0) | n = 14 145.25 [56.4–725] 14 (100.0) | 0.34 0.99 |
Troponin I (RR < 25 ng/L), median [IQR] Raised troponin I, (%) | n = 44 25.6 [6.25–55.6] 29 (65.9) | n = 19 36.0 [5.9–69.8] 14 (73.7) | n = 14 11.5 [5.4–24.5] 6 (42.7) | n = 11 36.8 [21–502.9] 9 (81.8) | 0.057 0.18 |
NT-proBNP (RR < 125 pg/mL), median [IQR] Raised NT-proBNP, (%) | n = 9 394 [7–5623] 5 (55.6) | n = 1 7 [7–7] 0 (0.0) | n = 3 9.1 [3.47–622] 1 (33.3) | n = 5 5623 [394–20,409] 4 (80.0) | 0.45 0.29 |
Aspartate aminotransferase (RR 0.08–0.6 ukat/L), median [IQR] Raised AST, (%) | 0.67 [0.39–1.09] 29 (50.0) | 0.79 [0.42–1.10] 13 (54.2) | 0.45 [0.38–1.01] 7 (36.8) | 0.72 [0.42–2.13] 9 (60.0) | 0.29 0.38 |
Alanine aminotransferase (RR 0.20–0.98 ukat/L), median [IQR] Raised ALT, (%) | 0.47 [0.26–1.15] 23 (39.7) | 0.49 [0.30–1.04] 10 (41.7) | 0.47 [0.25–1.06] 7 (36.8) | 0.34 [0.25–1.97] 6 (40.0) | 0.88 0.94 |
Lactate dehydrogenase (RR 1.83–4.92 ukat/L), median [IQR] Raised LDH, (%) | 4.58 [3.50–5.39] 25 (43.1) | 4.57 [3.59–5.01] 9 (37.5) | 4.96 [3.43–5.99] 10 (52.6) | 4.4 [3.6–5.91] 6 (40.0) | 0.84 0.56 |
Gamma-glutamyl transferase (RR 0.07–0.37 ukat/L) median [IQR] Raised GGT, (%) | 0.55 [0.25–1.20] 38 (65.5) | 0.62 [0.24–1.55] 16 (66.7) | 0.39 [0.23–1.11] 11 (57.9) | 0.48 [0.43–1.2] 11 (73.3) | 0.83 0.65 |
Urea (RR 2.5–6 mmol/L), median [IQR] Raised urea, (%) | 3.7 [2.7–5.0] 6 (10.3) | 3.7 [2.9–5.4] 5 (20.8) | 3.4 [2.2–4.9] 0 (0.0) | 4.4 [3.6–5.6] 1 (6.7) | 0.11 0.09 |
Creatinine (RR 40–68 umol/L), median [IQR] Raised creatinine, (%) | 39 [28–50] 6 (10.3) | 42.5 [31.0–63.5] 5 (20.8) | 38.3 [23.5–48] 0 (0.0) | 37.3 [26–48] 1 (6.7) | 0.45 0.09 |
Uric acid (RR 143–339 umol/L), median [IQR] Raised uric acid, (%) | 221 [163–270] 6 (10.3) | 223 [166.4–284.0] 5 (20.8) | 218 [152–269] 0 (0.0) | 236 [159–281] 1 (6.7) | 0.74 0.09 |
Albumin (RR 38–54 g/L), median [IQR] Hypoalbuminemia, (%) | 28.1 [26.6–33.0] 52 (89.7) | 29.1 [26.8–32.5] 20 (83.3) | 28.7 [26.4–34.0] 17 (89.5) | 27.7 [26.6–29.4] 15 (100.0) | 0.45 0.26 |
Sodium (RR 135–145 mmol/L), median [IQR] Hyponatremia, (%) | 133 [130–137] 37 (63.8) | 133 [130–137] 15 (62.5) | 132 [129–135] 11 (57.9) | 132 [129–135] 11 (73.3) | 0.64 0.69 |
Lipase (RR 0.07–0.65 ukat/L) median [IQR] Raised lipase, (%) | n = 18 2.02 [1.32–3.89] 16 (88.9) | n = 6 2.08 [0.80–3.97] 6 (100.0) | n = 7 3.29 [1.32–3.89] 5 (71.4) | n = 5 1.97 [1.35–3.58] 5 (100.0) | 0.98 0.65 |
Amylase (RR 0.46–1.66 ukat/L) median [IQR] Raised amylase, (%) | n = 18 2.84 [1.7–3.48] 14 (77.8) | n = 6 2.68 [1.70–3.48] 5 (83.3) | n = 7 2.84 [1.30–3.09] 5 (71.4) | n = 5 3.15 [2.39–3.81] 4 (80.0) | 0.76 0.99 |
PT (RR 10–13,1 sec), median [IQR] Prolonged PT, (%) | 14.6 [13.1–17.3] 43 (74.1) | 14.5 [13.1–17.5] 17 (70.8) | 14.7 [13.9–17.2] 16 (84.2) | 13.9 [12–17.5] 10 (66.7) | 0.66 0.55 |
aPTT (RR 24–35 sec), median [IQR] Prolonged aPTT, (%) | 35 [31.3–42.2] 25 (43.1) | 36.2 [33.0–40.5] 12 (50.0) | 35 [30.1–39.3] 6 (31.6) | 35.1 [31.2–45.2] 7 (46.7) | 0.62 0.50 |
D-dimer (RR <230 ng/mL) median [IQR] Raised D-dimer, (%) | n = 57 1622 [915–2500] 56 (98.2) | n = 23 1625 [945–2500] 22 (95.6) | n = 19 1235 [845–2500] 19 (100.0) | n = 15 2190 [915–2500] 15 (100.0) | 0.46 0.33 |
Abnormal chest radiography, (%) Consolidations (%) Mild pleural effusion, (%) | 25 (43.1) 17 (29.3) 8 (13.8) | 12 (50.0) 7 (29.2) 5 (20.8) | 8 (42.1) 6 (31.6) 2 (10.5) | 5 (33.3) 4 (26.7) 1 (6.7) | 0.67 |
Abnormal echocardiogram, (%) Pericarditis, (%) Myopericarditis, (%) Mitral valve regurgitation, (%) Tricuspid valve regurgitation, (%) Heart failure, (%) | 17 (29.3) 8 (13.8) 1 (1.7) 3 (5.2) 2 (3.4) 3 (5.2) | 9 (37.5) 4 (16.7) 1 (4.2) 2 (8.3) 2 (8.3) 0 (0.0) | 2 (10.5) 1 (5.3) 0 (0.0) 0 (0.0) 0 (0.0) 1 (5.3) | 6 (40.0) 3 (20.0) 0 (0.0) 1 (6.7) 0 (0.0) 2 (13.3) | 0.097 |
Abnormal abdominal US, (%) Splenomegaly, (%) Bowel wall thickening, (%) Ascites, (%) Mesenteric lymphadenitis, (%) Invagination, (%) | 38 (65.5) 20 (34.5) 10 (17.2) 7 (12.0) 4 (6.9) 1 (1.7) | 17 (70.83) 9 (37.5) 5 (20.8) 5 (20.8) 0 (0.0) 0 (0.0) | 12 (63.16) 7 (36.8) 3 (15.8) 0 (0.0) 1 (5.3) 0 (0.0) | 9 (60.00) 4 (26.7) 2 (13.3) 2 (13.3) 3 (20.0) 1 (6.7) | 0.78 |
Variable | Total n = 58 | Alpha n = 24 (41%) | Delta n = 19 (33%) | Omicron n = 15 (26%) | p Value | |
---|---|---|---|---|---|---|
Pharmacotherapy | IVIG, (%) Methylprednisolone, (%) Methylprednisolone pulse, (%) Inotrope, (%) Acetylsalicylic acid, (%) | 58 (100.0) 55 (94.8) 2 (3.4) 3 (5.2) 57 (98.3) | 24 (100.0) 23 (95.8) 0 (0.0) 1 (4.2) 24 (100) | 19 (100.0) 18 (94.7) 1 (5.3) 1 (5.3) 19 (100) | 15 (100.0) 14 (93.3) 1 (6.7) 1 (6.7) 14 (93.3) | 0.99 0.99 0.31 0.99 0.26 |
Complications During Hospitalization, (%) Pancreatitis, (%) Surgery due to suspected acute abdomen, (%) Acute kidney injury, (%) Heart failure, (%) Acute kidney injury and pancreatitis, (%) Need for mechanical ventilation, (%) Pulmonary edema, (%) Varicella, (%) | 21 (36.2) 12 (20.7) 3 (5.2) 3 (5.2) 3 (5.2) 2 (3.5) 2 (3.5) 1 (1.7) 1 (1.7) | 10 (41.7) 4 (16.7) 3 (12.5) 2 (8.3) 0 (0.0) 1 (4.2) 0 (0.0) 0 (0.0) 0 (0.0) | 5 (26.3) 4 (21.1) 0 (0.0) 0 (0.0) 1 (5.3) 1 (5.3) 1 (5.3) 0 (0.0) 0 (0.0) | 6 (40.0) 4 (26.7) 0 (0.0) 1 (6.7) 2 (13.3) 0 (0.0) 1 (6.7) 1 (6.7) 1 (6.7) | 0.58 | |
PICU admission, (%) | 5 (8.6) | 1 (4.2) | 2 (10.5) | 2 (13.3) | 0.81 | |
Duration of clinical recovery after starting therapy (days), median [IQR] | 4 [3–6] | 4 [3–5.5] | 4 [3–6] | 5 [4–7] | 0.18 | |
Duration of laboratory recovery after starting therapy (days), median [IQR] | 10 [7–11] | 10 [8–12] | 10 [6–11] | 9 [7–10] | 0.81 | |
Outcomes after hospital discharge | Favorable Outcome, (%) Death, (%) Chronic pancreatitis, (%) Appearance of proteinuria, (%) | 55 (94.8) 1 (1.7) 1 (1.7) 1 (1.7) | 24 (100.0) 0 (0.0) 0 (0.0) 0 (0.0) | 17 (89.5) 1 (5.3) 1 (5.3) 0 (0.0) | 14 (93.3) 0 (0.0) 0 (0.0) 1 (6.7) | 0.34 |
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Vijatov-Đurić, G.; Milanović, B.; Barišić, N.; Ivetić, J.; Đuretić, A.; Kesić, J.; Ležakov, O.; Vorgučin, I.; Vilotijević-Dautović, G.; Ristić, M.; et al. Characteristics of Multisystem Inflammatory Syndrome in Children Across COVID-19 Variants in Vojvodina. J. Clin. Med. 2024, 13, 6672. https://doi.org/10.3390/jcm13226672
Vijatov-Đurić G, Milanović B, Barišić N, Ivetić J, Đuretić A, Kesić J, Ležakov O, Vorgučin I, Vilotijević-Dautović G, Ristić M, et al. Characteristics of Multisystem Inflammatory Syndrome in Children Across COVID-19 Variants in Vojvodina. Journal of Clinical Medicine. 2024; 13(22):6672. https://doi.org/10.3390/jcm13226672
Chicago/Turabian StyleVijatov-Đurić, Gordana, Borko Milanović, Nenad Barišić, Jelena Ivetić, Andrea Đuretić, Jelena Kesić, Ognjen Ležakov, Ivana Vorgučin, Gordana Vilotijević-Dautović, Mioljub Ristić, and et al. 2024. "Characteristics of Multisystem Inflammatory Syndrome in Children Across COVID-19 Variants in Vojvodina" Journal of Clinical Medicine 13, no. 22: 6672. https://doi.org/10.3390/jcm13226672
APA StyleVijatov-Đurić, G., Milanović, B., Barišić, N., Ivetić, J., Đuretić, A., Kesić, J., Ležakov, O., Vorgučin, I., Vilotijević-Dautović, G., Ristić, M., Koprivšek, K., & Stojanović, V. (2024). Characteristics of Multisystem Inflammatory Syndrome in Children Across COVID-19 Variants in Vojvodina. Journal of Clinical Medicine, 13(22), 6672. https://doi.org/10.3390/jcm13226672