scholarly journals Long‐term therapy with botulinum toxin in facial synkinesis: Retrospective data analysis of data from 1998 to 2018

2021 ◽  
Author(s):  
Sara Alipour ◽  
Carina Pick ◽  
Stefanie Jansen ◽  
Svenja Rink ◽  
Jens Peter Klußmann ◽  
...  
Keyword(s):  
Data Analysis ◽  
Botulinum Toxin ◽  
Term Therapy ◽  
Retrospective Data ◽  
Retrospective Data Analysis ◽  
Long Term Therapy ◽  
Facial Synkinesis

scholarly journals Role of interleukin 6 as a predictive factor for a severe course of Covid-19: retrospective data analysis of patients from a Long-term Care Facility during Covid-19 Outbreak

2020 ◽  
Author(s):  
Peter Sabaka ◽  
Alena Koščálová ◽  
Igor Straka ◽  
Julius Hodosy ◽  
Robert Lipták ◽  
...  
Keyword(s):  
Data Analysis ◽  
Long Term Care ◽  
Screening Tool ◽  
Initial Assessment ◽  
Retrospective Data ◽  
Term Care ◽  
Effective Screening ◽  
Retrospective Data Analysis

Abstract Background: Covid-19 is a disease with high morbidity and mortality among elderly residents of long-term care facilities (LTCF). During an outbreak of SARS-CoV-2 infection in the LTCF an effective screening tool is essential to identify the patients at risk for severe illness and death. We explored the role of interleukin 6 (IL-6) as a predictor for severe disease during the outbreak of Covid-19 in one LTCF in Slovakia. Methods: We conducted a retrospective data analysis of cases of COVID-19, diagnosed during the outbreak in one LTCF in Slovakia between April 11, 2020, and May 5, 2020. Within 24 hours after the diagnosis of Covid-19, clinical and laboratory screening was performed in the LTCF to identify patients in need of hospitalization. Patients with oxygen saturation below 90% were immediately referred to the hospital. Patients staying in the LFTC were monitored daily and those that developed hypoxemia were transferred to the hospital. We analyzed the association between the IL-6 at the initial assessment and development of hypoxemia during follow up and determined the cut-off of the IL-6 able to predict the development of hypoxemia requiring oxygen therapy. Results : Fifty-three patients (11 men, 42 women) with diagnosed Covid-19 were included in the analysis. 19 (53%) patients developed hypoxemia during the disease. Patients with hypoxemia had significantly higher concentrations of IL-6, C-reactive protein, procalcitonin, fibrinogen, total bilirubin, aspartate aminotransferase and alanine aminotransferase at initial screening. ROC analyses identified IL-6 as the most robust predictor of hypoxemia. The concentration of IL-6 > 24 pg/mL predicted the development of hypoxemia with the sensitivity of 100% and specificity of 88.9%. The positive and negative predictive values were 76.9%, and 100% respectively. Conclusions : The concentration of IL-6 > 24 pg/mL at initial assessment predicted the development of hypoxemia requiring hospitalization with excellent sensitivity and good specificity. IL-6 appears as a potential predictor for the development of the severe Covid-19 and might serve for early identification of patients in need of hospitalization. Further studies are needed to evaluate the robustness of the use of IL-6 as an effective screening tool for the severe course of Covid-19.

scholarly journals Role of interleukin 6 as a predictive factor for a severe course of Covid-19: retrospective data analysis of patients from a Long-term Care Facility during Covid-19 Outbreak

2020 ◽  
Author(s):  
Peter Sabaka ◽  
Alena Koščálová ◽  
Igor Straka ◽  
Julius Hodosy ◽  
Robert Lipták ◽  
...  
Keyword(s):  
Data Analysis ◽  
Long Term Care ◽  
Screening Tool ◽  
Initial Assessment ◽  
Retrospective Data ◽  
Term Care ◽  
Effective Screening ◽  
Retrospective Data Analysis

Abstract Background: Covid-19 is a disease with high morbidity and mortality among elderly residents of long-term care facilities (LTCF). During an outbreak of SARS-CoV-2 infection in the LTCF an effective screening tool is essential to identify the patients at risk for severe illness and death. We explored the role of interleukin 6 (IL-6) as a predictor for severe disease during the outbreak of Covid-19 in one LTCF in Slovakia.Methods: We conducted a retrospective data analysis of cases of COVID-19, diagnosed during the outbreak in one LTCF in Slovakia between April 11, 2020, and May 5, 2020. Within 24 hours after the diagnosis of Covid-19, clinical and laboratory screening was performed in the LTCF to identify patients in need of hospitalization. Patients with oxygen saturation below 90% were immediately referred to the hospital. Patients staying in the LFTC were monitored daily and those that developed hypoxemia were transferred to the hospital. We analyzed the association between the IL-6 at the initial assessment and development of hypoxemia during follow up and determined the cut-off of the IL-6 able to predict the development of hypoxemia requiring oxygen therapy.Results: Fifty-three patients (11 men, 42 women) with diagnosed Covid-19 were included in the analysis. 19 (53%) patients developed hypoxemia during the disease. Patients with hypoxemia had significantly higher concentrations of IL-6, C-reactive protein, procalcitonin, fibrinogen, total bilirubin, aspartate aminotransferase and alanine aminotransferase at initial screening. ROC analyses identified IL-6 as the most robust predictor of hypoxemia. The concentration of IL-6 > 24 pg/mL predicted the development of hypoxemia with the sensitivity of 100% and specificity of 88.9%. The positive and negative predictive values were 76.9%, and 100% respectively.Conclusions: The concentration of IL-6 > 24 pg/mL at initial assessment predicted the development of hypoxemia requiring hospitalization with excellent sensitivity and good specificity. IL-6 appears as a potential predictor for the development of the severe Covid-19 and might serve for early identification of patients in need of hospitalization. Further studies are needed to evaluate the robustness of the use of IL-6 as an effective screening tool for the severe course of Covid-19.

scholarly journals A Risk-Adjusted Retrospective Data Analysis between Younger and Elderly Patients with Acute Coronary Syndromes—Long-Term Prognosis

2016 ◽  
Vol 04 (03) ◽  
pp. 53-61
Author(s):  
Alexandre de Matos Soeiro ◽  
Alyne Pinto Borba ◽  
Aline Siqueira Bossa ◽  
Cindel Nogueira Zullino ◽  
Maria Carolina Feres de Almeida Soeiro ◽  
...  
Keyword(s):  
Data Analysis ◽  
Elderly Patients ◽  
Acute Coronary Syndromes ◽  
Retrospective Data ◽  
Retrospective Data Analysis ◽  
Coronary Syndromes ◽  
Long Term Prognosis
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