scholarly journals Serum Urokinase-Type Plasminogen Activator Receptor Does Not Outperform C-Reactive Protein and Procalcitonin as an Early Marker of Severity of Acute Pancreatitis

2018 ◽  
Vol 7 (10) ◽  
pp. 305 ◽  
Author(s):  
Witold Kolber ◽  
Beata Kuśnierz-Cabala ◽  
Paulina Dumnicka ◽  
Małgorzata Maraj ◽  
Małgorzata Mazur-Laskowska ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Intensive Care ◽  
Diagnostic Accuracy ◽  
Secondary Care ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Type Plasminogen Activator ◽  
Urokinase Type Plasminogen Activator ◽  
Plasminogen Activator Receptor

Severe acute pancreatitis (SAP) concerns 10–20% of acute pancreatitis (AP) patients and is associated with a poor prognosis and high mortality. An early prognosis of the unfavorable outcome, transfer to an intensive care unit (ICU) and the introduction of an adequate treatment are crucial for patients’ survival. Recently, the elevated circulating urokinase-type plasminogen activator receptor (uPAR) has been reported to predict SAP with a high diagnostic accuracy among patients in a tertiary center. The aim of the study was to compare the diagnostic utility of uPAR and other inflammatory markers as the predictors of the unfavorable course of AP in patients admitted to a secondary care hospital within the first 24 h of the onset of AP. The study included 95 patients, eight with a SAP diagnosis. Serum uPAR was measured on admission and in the two subsequent days. On admission, uPAR significantly predicted organ failure, acute cardiovascular failure, acute kidney injury, the need for intensive care, and death. The diagnostic accuracy of the admission uPAR for the prediction of SAP, organ failure, and ICU transfer or death was low to moderate and did not differ significantly from the diagnostic accuracy of interleukin-6, C-reactive protein, procalcitonin, D-dimer and soluble fms-like tyrosine kinase-1. In the secondary care hospital, where most patients with AP are initially admitted, uPAR measurements did not prove better than the currently used markers.

Soluble urokinase-type plasminogen activator receptor (suPAR) in patients with acute pancreatitis (AP) - Progress in prediction of AP severity

Pancreatology ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Michal Lipinski ◽  
Alicja Rydzewska-Rosolowska ◽  
Andrzej Rydzewski ◽  
Malgorzata Cicha ◽  
Grazyna Rydzewska
Keyword(s):  
Acute Pancreatitis ◽  
Plasminogen Activator ◽  
Type Plasminogen Activator ◽  
Urokinase Type Plasminogen Activator ◽  
Plasminogen Activator Receptor

scholarly journals Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study

Diagnostics ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 602
Author(s):  
Alexios-Fotios A. Mentis ◽  
Irene Garcia ◽  
Juan Jiménez ◽  
Maria Paparoupa ◽  
Athanasia Xirogianni ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Age Groups ◽  
Viral Meningitis ◽  
Differential Diagnostics ◽  
Reactive Protein ◽  
Conventional Culture ◽  
Type Plasminogen Activator ◽  
Urokinase Type Plasminogen Activator ◽  
Validation Procedure ◽  
Plasminogen Activator Receptor

Differential diagnosis between bacterial and viral meningitis is crucial. In our study, to differentiate bacterial vs. viral meningitis, three machine learning (ML) algorithms (multiple logistic regression (MLR), random forest (RF), and naïve-Bayes (NB)) were applied for the two age groups (0–14 and >14 years) of patients with meningitis by both conventional (culture) and molecular (PCR) methods. Cerebrospinal fluid (CSF) neutrophils, CSF lymphocytes, neutrophil-to-lymphocyte ratio (NLR), blood albumin, blood C-reactive protein (CRP), glucose, blood soluble urokinase-type plasminogen activator receptor (suPAR), and CSF lymphocytes-to-blood CRP ratio (LCR) were used as predictors for the ML algorithms. The performance of the ML algorithms was evaluated through a cross-validation procedure, and optimal predictions of the type of meningitis were above 95% for viral and 78% for bacterial meningitis. Overall, MLR and RF yielded the best performance when using CSF neutrophils, CSF lymphocytes, NLR, albumin, glucose, gender, and CRP. Also, our results reconfirm the high diagnostic accuracy of NLR in the differential diagnosis between bacterial and viral meningitis.

scholarly journals C-reactive Protein to Albumin Ratio among Patients Admitted to Intensive Care Unit of a Tertiary Care Hospital: A Descriptive Crosssectional Study

2021 ◽  
Vol 59 (244) ◽  
pp. 1247-1251
Author(s):  
Pratiksha Gyawali ◽  
Himal Shrestha ◽  
Vivek Pant ◽  
Prabodh Risal ◽  
Sharad Gautam
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Binary Data ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Common Finding ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein

Introduction: Sepsis is the most common cause of mortality among patients admitted to intensive care unit. There is emerging evidence on the role of C-reactive protein to albumin ratio (C-reactive protein/Albumin) in predicting outcomes in patients with critical illness and sepsis, admitted to intensive care unit. We aimed to find out the median value of C-reactive protein/Albumin ratio among patients admitted to intensive care unit of a tertiary care hospital. Methods: We conducted a descriptive cross-sectional study of 110 critically ill patients (>18 years old) admitted to intensive care unit of Dhulikhel Hospital from April, 2014 to June, 2016. The ethical approval (Reference number.51/16) was obtained from Institutional Review Committee at Kathmandu University School of Medical Sciences. C-reactive protein/albumin ratio was calculated from records of patients admitted to the intensive care unit. Convenience sampling was done. Data were entered into Microsoft Excel and analysed using Statistical Package for Social Sciences version 20. Point estimate at 95% Confidence Interval was calculated along with frequencies and percentages for binary data. Results: Among 110 patients admitted to the intensive care unit, the median value of C-reactive protein/Albumin ratio was found to be 3.4 (Interquartile range: 3.1-4.5). Conclusions: Our study showed higher median C-reactive protein /Albumin similar to toher studies. Sepsis is a common finding among patients admitted to intensive care unit. Monitoring of C-reactive protein/albumin level in a patient admitted to intensive care unit could be useful for stratifying patients with a high risk of developing sepsis.

scholarly journals Does Soluble Urokinase-Type Plasminogen Activator Receptor Level Predicts the Occurrence of Inflammatory Complications in Maxillofacial Surgery?

2021 ◽  
Vol 11 (5) ◽  
pp. 2192
Author(s):  
Marcin Kozakiewicz ◽  
Rafał Nikodem Wlazeł
Keyword(s):  
Plasminogen Activator ◽  
Maxillofacial Surgery ◽  
Patient Characteristics ◽  
Reactive Protein ◽  
Supar Level ◽  
Type Plasminogen Activator ◽  
Urokinase Type Plasminogen Activator ◽  
Increased Risk ◽  
Plasminogen Activator Receptor ◽  
Minor Injuries

Soluble urokinase-type plasminogen activator receptor (suPAR) is a marker of immune activation and reflects a more distinct aspect of inflammation than C-reactive protein (CRP) does. The study concerns a clinically silent state of the immune system expressed by the level of suPAR, which could affect the occurrence of complications (non-life threatening) after scheduled procedures. The purpose was the evaluation of suPAR predictive value in minor maxillofacial surgery complication incidents. Eighty patients were tested for suPAR, CRP and a series of basic laboratory serum tests on 1 day before surgery. Complications of orthognathic and minor injuries treatments were reported. The suPAR level, expressed as a measure independent of the patient’s age (Index of Body Inflammation, IBI), was analyzed. The protein level was also assessed on postoperative day 3. Basic statistical analysis did not reveal any relevant dependence between suPAR (or IBI) and occurrence of minor complications. The application of factor analysis, artificial neural network and inclusion of chlorides, glycaemia, alanine transaminase (ALT), albumin and hemoglobin levels allowed to indicate the suPAR/IBI ranges associated with an increased risk of minor postoperative complications. Concluding, it seems that, in the current state of the knowledge, the monitoring of pre-operational suPAR level solely does not include sufficient predictive information for the occurrence of minor complications after maxillofacial surgery. The suPAR/IBI level should be combined with other patient characteristics to predict healing complications.

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