Abstract:IntroductionWe aimed to characterize biochemical and cardiovascular predictors of paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) risk based on the data from the LATE-COVID-Kids study.Material and methods148 consecutive COVID-19 convalescents hospitalized for the clinical evaluation after the acute phase of COVID-19 were classified into two groups related to symptoms: 33 children finally diagnosed with PIMS-TS and 115 children without PIMS-TS (control group).Results… Show more
“…The Polish data also confirm the phenomenon's local spread at a high level [6]. Potential risk factors for developing complications after COVID-19 include age, female sex, severe course of COVID-19, and coexistence of comorbidities [6][7][8][9].…”
IntroductionObjective: To create a valuable practical tool for evaluating the risk of LC development.Material and methods1150 patients from the Polish STOP-COVID registry (PoLoCOV study) were used to develop the risk score. The patients were ill between 03/2020 and 04/2022. To develop a clinically useful scoring model. The LC risk score was generated using the machine learning-based framework AutoScore. Patient data were first randomised into a training (70% of output) and a test (30% of output) cohorts. Due to relatively small study group, cross-validation was used. Model predictive ability was evaluated based on the ROC curve and the AUC value. The result of the risk score for a given patient was the total value of points assigned to selected variables.ResultsTo create long COVID Risk Score, eight variables were ultimately selected due to their significance and clinical value. Female gender significantly contributed to higher final outcome values, with age range 40-49, BMI <18.5 kg/m2, hospitalisation during active disease, arthralgia, myalgia as well as loss of taste and smell during infection, COVID-19 symptoms lasting at least 14 days, and unvaccinated status. The final predictive value of the developed LC risk score for a cut-off of 58 points was AUC=0.630 (95% CI: 0.571-0.688) with sensitivity - 39.80%, specificity - 85.1%, positive predictive value - 80.8%, and negative predictive value 47.3%.ConclusionsConclusions: The LC risk score might be a practical and undemanding utility that employs basic sociodemographic data, vaccination status, and symptoms during COVID-19 to assess the risk of long-COVID.
“…The Polish data also confirm the phenomenon's local spread at a high level [6]. Potential risk factors for developing complications after COVID-19 include age, female sex, severe course of COVID-19, and coexistence of comorbidities [6][7][8][9].…”
IntroductionObjective: To create a valuable practical tool for evaluating the risk of LC development.Material and methods1150 patients from the Polish STOP-COVID registry (PoLoCOV study) were used to develop the risk score. The patients were ill between 03/2020 and 04/2022. To develop a clinically useful scoring model. The LC risk score was generated using the machine learning-based framework AutoScore. Patient data were first randomised into a training (70% of output) and a test (30% of output) cohorts. Due to relatively small study group, cross-validation was used. Model predictive ability was evaluated based on the ROC curve and the AUC value. The result of the risk score for a given patient was the total value of points assigned to selected variables.ResultsTo create long COVID Risk Score, eight variables were ultimately selected due to their significance and clinical value. Female gender significantly contributed to higher final outcome values, with age range 40-49, BMI <18.5 kg/m2, hospitalisation during active disease, arthralgia, myalgia as well as loss of taste and smell during infection, COVID-19 symptoms lasting at least 14 days, and unvaccinated status. The final predictive value of the developed LC risk score for a cut-off of 58 points was AUC=0.630 (95% CI: 0.571-0.688) with sensitivity - 39.80%, specificity - 85.1%, positive predictive value - 80.8%, and negative predictive value 47.3%.ConclusionsConclusions: The LC risk score might be a practical and undemanding utility that employs basic sociodemographic data, vaccination status, and symptoms during COVID-19 to assess the risk of long-COVID.
“…Later, a growing number of children developed inflammatory systemic symptoms that appeared weeks after the initial infection of COVID-19. This clinical entity, defined as multisystem inflammatory syndrome in children (MIS-C) or Kawasaki-like disease, includes prolonged fever, gastrointestinal symptoms, cutaneous signs, neurological alterations and cardiovascular manifestations such as myocarditis with ventricular dysfunction, coronary artery aneurysms, arrhythmias [66] , [67] . MIS-C is burdened by high possibility of morbidity, complications, and adverse outcomes [67] , but its incidence is still not well defined [68] , [69] .…”
Section: Pathogenic Effects Of Sars-cov-2 Infection On the Heartmentioning
“…Overall, the analysis of the immune response cannot be overestimated in clinical practice, as demonstrated in the LATE-COVID-Kids Study of the pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) [44].…”
IntroductionWe evaluated the diagnostic characteristics of interleukin (IL)-12, interferon (IFN)-γ, IL-10 and IL-19, in the diagnosis and assessment of Crohn’s disease (CD) activity.Material and methodsWe studied 49 CD patients assigned to the active (33 patients) and inactive (16 patients) disease subgroups and 31 healthy controls. Serum cytokines were measured using ELISA. Cytokine levels and their multiplication results were compared between the groups and their diagnostic characteristics in were assessed.ResultsThe levels of the studied cytokines except IL-10 and their multiplication results were significantly higher in CD patients than in controls (P <0.0001-0.007) and in patients with active than inactive disease (P <0.0001-0.023). In the diagnosis of CD, the [CRP]x[IL-19] and [IL-6]x[IFN-γ] results had a specificity of 0.96, positive predictive value (PPV) 0.97 and positive likelihood ratio (LR+) 15,0 and 15.5, respectively, while serum IL-19 and the [IL-6]x[IL-12] and IFN-γ]x[IL-12] results had a sensitivity of 0.9-0.96, negative PV (NPV) 0.75-0.86 and negative LR (LR-) 0.09-0.18. The area under the ROC curve (AUC) for these markers was 0.776-0.807. In the diagnosis of active CD, the [CRP]x[IL-10] and [CRP]x[IL-19] results had a specificity of 0.98, PPV 0.96, LR+ 33.4 and 30.5, and AUC 0.896 and 0.895, respectively. Serum IFN-γ and the [CRP]x[IFN-γ], [CRP]x[IL-12] and [IFN-γ]x[IL-19] results had diagnostic sensitivity of 0.77-0.94, NPV 0.86-0.93, LR- 0.11-0.24 and AUC 0.781-0.904.ConclusionsSerum IFN-γ, IL-19 and some of the results of the studied cytokine levels multiplication showed promising diagnostic performance in the diagnosis of CD and its active form, which requires further validation.
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