DAVID, Jan, Veronika STARA, Ondrej HRADSKY, Jana TUČKOVÁ, Kateřina SLABÁ, Petr JABANDŽIEV, Lumir SASEK, Michal HUML, Iveta ZIDKOVA, Jan PAVLICEK, Alzbeta PALATOVA, Eva KLASKOVA, Karina BANSZKA, Eva TERIFAJOVA, Radim VYHNANEK, Marketa BLOOMFIELD, Sarka FINGERHUTOVA, Pavla DOLEZALOVA, Lucie PROCHAZKOVA, Gabriela CHRAMOSTOVA, Filip FENCL a Jan LEBL. Nationwide observational study of paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) in the Czech Republic. Online. European journal of pediatrics. New York: Springer, 2022, roč. 181, č. 10, s. 3663-3672. ISSN 0340-6199. Dostupné z: https://dx.doi.org/10.1007/s00431-022-04593-7. [citováno 2024-04-24]
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Základní údaje
Originální název Nationwide observational study of paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) in the Czech Republic
Autoři DAVID, Jan (203 Česká republika, garant), Veronika STARA (203 Česká republika), Ondrej HRADSKY (203 Česká republika), Jana TUČKOVÁ (203 Česká republika, domácí), Kateřina SLABÁ (203 Česká republika, domácí), Petr JABANDŽIEV (203 Česká republika, domácí), Lumir SASEK (203 Česká republika), Michal HUML (203 Česká republika), Iveta ZIDKOVA (203 Česká republika), Jan PAVLICEK (203 Česká republika), Alzbeta PALATOVA (203 Česká republika), Eva KLASKOVA (203 Česká republika), Karina BANSZKA (203 Česká republika), Eva TERIFAJOVA (203 Česká republika), Radim VYHNANEK (203 Česká republika), Marketa BLOOMFIELD (203 Česká republika), Sarka FINGERHUTOVA (203 Česká republika), Pavla DOLEZALOVA (203 Česká republika), Lucie PROCHAZKOVA (203 Česká republika), Gabriela CHRAMOSTOVA (203 Česká republika), Filip FENCL (203 Česká republika) a Jan LEBL (56 Belgie)
Vydání European journal of pediatrics, New York, Springer, 2022, 0340-6199.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30209 Paediatrics
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.600
Kód RIV RIV/00216224:14110/22:00128211
Organizační jednotka Lékařská fakulta
Doi http://dx.doi.org/10.1007/s00431-022-04593-7
UT WoS 000842757300001
Klíčová slova anglicky MIS-C; COVID-19; Incidence; Predictors; Severe outcome; Myocardial dysfunction
Štítky 14110317, rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Tereza Miškechová, učo 341652. Změněno: 2. 2. 2023 14:41.
Anotace
The worldwide outbreak of the novel 2019 coronavirus disease (COVID-19) has led to recognition of a new immunopathological condition: paediatric inflammatory multisystem syndrome (PIMS-TS). The Czech Republic (CZ) suffered from one of the highest incidences of individuals who tested positive during pandemic waves. The aim of this study was to analyse epidemiological, clinical, and laboratory characteristics of all cases of paediatric inflammatory multisystem syndrome (PIMS-TS) in the Czech Republic (CZ) and their predictors of severe course. We performed a retrospective-prospective nationwide observational study based on patients hospitalised with PIMS-TS in CZ between 1 November 2020 and 31 May 2021. The anonymised data of patients were abstracted from medical record review. Using the inclusion criteria according to World Health Organization definition, 207 patients with PIMS-TS were enrolled in this study. The incidence of PIMS-TS out of all SARS-CoV-2-positive children was 0.9:1,000. The estimated delay between the occurrence of PIMS-TS and the COVID-19 pandemic wave was 3 weeks. The significant initial predictors of myocardial dysfunction included mainly cardiovascular signs (hypotension, oedema, oliguria/anuria, and prolonged capillary refill). During follow-up, most patients (98.8%) had normal cardiac function, with no residual findings. No fatal cases were reported. Conclusions: A 3-week interval in combination with incidence of COVID-19 could help increase pre-test probability of PIMS-TS during pandemic waves in the suspected cases. Although the parameters of the models do not allow one to completely divide patients into high and low risk groups, knowing the most important predictors surely could help clinical management.
VytisknoutZobrazeno: 24. 4. 2024 11:42