Soluble CD163 Is a Predictor of Mortality in Patients With Decompensated Cirrhosis

Background: Soluble CD163 (sCD163) is a scavenger receptor membrane protein expressed almost exclusively on Kupffer cells and other macrophages. It was found to be associated with the severity of liver cirrhosis. The aim of the present study was to determine whether the novel biomarker sCD163 predicts outcomes in patients with decompensated cirrhosis.Materials and Methods: A single-center, observational, prospective study with 345 decompensated cirrhosis patients was conducted in the Gastroenterology Department between January 2017 and December 2020. Their plasma samples were tested by enzyme-linked immunosorbent assay (ELISA) for sCD163 within 24 hours of admission. These patients were followed up at 28 days, 3 months and 6 months. The independent risk factors were identified with uni- and multivariate logistic regression analyses. We evaluated the predictive performance of the new scoring system (including sCD163) and the original scoring system.Results: The sCD163 level was significantly higher in non-surviving patients than in surviving patients. Positive associations were found between sCD163 levels and the Child-Turcotte-Pugh (CTP), Model for End-Stage Liver Disease (MELD) and albumin-bilirubin (ALBI) scores. Logistic regression confirmed that sCD163 was an independent risk factor for 28-day, 3-month, and 6-month mortality. The areas under the receiver operating characteristic curves (AUROCs) of the use of sCD163 for the prediction of 28-day, 3-month, and 6-month mortality were relatively higher (AUROCs: 0.856; 0.823 and 0.811, respectively). The AUROCs of the new scores obtained by adding sCD163 to the original scoring systems (CTP + sCD163, MELD + sCD163 and ALBI + sCD163) showed that the new scoring systems had better predictive performance than the original scoring systems at all time points (P < 0.001).Conclusion: sCD163 is a prognostic predictor of short-term and long-term outcomes in decompensated cirrhosis patients. Accordingly, the addition of sCD163 to the original clinical scoring systems improved their prognostic performance.

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New scoring system in assessment of Hoffa’s fat pad synovitis: A comparative study with established scoring systems

World Journal of Radiology ◽

10.4329/wjr.v10.i11.162 ◽

2018 ◽

Vol 10 (11) ◽

pp. 162-171 ◽

Cited By ~ 1

Author(s):

Shigeo Hagiwara ◽

Albert Yang ◽

Shoichiro Takao ◽

Yasuhito Kaneko ◽

Taiki Nozaki ◽

...

Keyword(s):

Comparative Study ◽

Scoring System ◽

Scoring Systems ◽

Fat Pad ◽

Hoffa’S Fat Pad ◽

New Scoring

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Alkaline Phosphatase: The Next Independent Predictor of the Poor 90-Day Outcome in Alcoholic Hepatitis

BioMed Research International ◽

10.1155/2013/614081 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Beata Kasztelan-Szczerbinska ◽

Maria Slomka ◽

Krzysztof Celinski ◽

Mariusz Szczerbinski

Keyword(s):

Alkaline Phosphatase ◽

Logistic Regression ◽

Alcoholic Hepatitis ◽

Scoring Systems ◽

Prognostic Models ◽

Laboratory Variables ◽

Score Model ◽

End Stage

Aim. Determination of risk factors relevant to 90-day prognosis in AH. Comparison of the conventional prognostic models such as Maddrey’s modified discriminant function (mDF) and Child-Pugh-Turcotte (CPT) score with newer ones: the Glasgow Alcoholic Hepatitis Score (GAHS); Age, Bilirubin, INR, Creatinine (ABIC) score, Model for End-Stage Liver Disease (MELD), and MELD-Na in the death prediction.Patients and Methods. The clinical and laboratory variables obtained at admission were assessed. The mDF, CPT, GAHS, ABIC, MELD, and MELD-Na scores’ different areas under the curve (AUCs) and the best threshold values were compared. Logistic regression was used to assess predictors of the 90-day outcome.Results. One hundred sixteen pts fulfilled the inclusion criteria. Twenty (17.4%) pts died and one underwent orthotopic liver transplantation (OLT) within 90 days of follow-up. No statistically significant differences in the models‘ performances were found. Multivariate logistic regression identified CPT score, alkaline phosphatase (AP) level higher than 1.5 times the upper limit of normal (ULN), and corticosteroids (CS) nonresponse as independent predictors of mortality.Conclusions. The CPT score, AP > 1.5 ULN, and the CS nonresponse had an independent impact on the 90-day survival in AH. Accuracy of all studied scoring systems was comparable.

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Pulmonary Embolism Risk Assessment (PERA) Score. A New Scoring System to Better Predict the Risk of Pulmonary Embolism – A Comparative Study with Existing Scoring Systems

European Journal of Vascular and Endovascular Surgery ◽

10.1016/j.ejvs.2019.09.487 ◽

2019 ◽

Vol 58 (6) ◽

pp. e860-e861

Author(s):

Ashanga Yatawatta ◽

Tina Chung ◽

Jisoo Kim ◽

Bylly Botanny

Keyword(s):

Risk Assessment ◽

Pulmonary Embolism ◽

Comparative Study ◽

Scoring System ◽

Scoring Systems ◽

New Scoring

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Validation of a New Risk Score System for Non-variceal Upper Gastrointestinal Bleeding

10.21203/rs.2.14578/v1 ◽

2019 ◽

Author(s):

Min Seong Kim ◽

Hee Seok Moon ◽

In Sun Kwon ◽

Jae Ho Park ◽

Ju Seok Kim ◽

...

Keyword(s):

Mortality Rate ◽

Gastrointestinal Bleeding ◽

Roc Curve ◽

Scoring System ◽

Operating Characteristic ◽

Upper Gastrointestinal Bleeding ◽

Scoring Systems ◽

Bleeding Score ◽

Upper Gastrointestinal ◽

New Scoring

Abstract Background Recently, a new international bleeding score was developed to predict 30-day hospital mortality in patients with upper gastrointestinal bleeding (UGIB). However, the efficacy of this newly developed scoring system has not been extensively investigated. We aimed to validate a new scoring system for predicting 30-day mortality in patients with non-variceal UGIB and determine whether a higher score is associated with re-bleeding, length of hospital stay and endoscopic failure.Methods A retrospective study was performed on 905 cases with acute non-varieal UGIB who were examined in our hospital between January 2013 and December 2017. Baseline characteristics, endoscopic findings, re-bleeding, admission, and mortality were reviewed. The 30-day mortality rate of the new international bleeding risk score was calculated using the receiver operating characteristic curves and compared to the pre-endoscopy Rockall score, AIMS65, Glasgow Blatchford score, and Progetto Nazionale Emorragia Digestiva score. To verify the variable for the 30-day mortality of the new scoring system, we performed multivariate logistic regression using our data and further analyzed the score items.Results Compared with other scoring systems, the new international bleeding scoring system showed higher receiver operating characteristic (ROC) curve values in predicting mortality. (area under ROC curve 0.832; [95% confidence interval (CI)]) Multivariate analysis was performed using our data, the 30-day mortality rate was related to multiple comorbidities, BUN, creatinine, albumin, syncope at first visit, and endoscopic failure at first admission within 24 hours. In addition, in the new high score group, relatively long hospital stays, re-bleeding, and endoscopic failure were observed.Conclusion The new international bleeding score could predict 30-day mortality better than the other scoring systems. High-risk patients can be screened using this new scoring system to predict 30-day mortality. The use of this scoring system seems to improve the outcomes of non-variceal UGIB patients through proper management and intervention.

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Retrospective Multivariate Analysis of Data from Children with Suspected Appendicitis: A New Tool for Diagnosis

Emergency Medicine International ◽

10.1155/2018/4810730 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9

Author(s):

Zafer Dokumcu ◽

Bade Toker Kurtmen ◽

Emre Divarci ◽

Petek Bayindir Tamay ◽

Timur Kose ◽

...

Keyword(s):

Multivariate Analysis ◽

Sensitivity And Specificity ◽

Scoring System ◽

Scoring Systems ◽

Negative Appendectomy ◽

Duration Of Symptoms ◽

Suspected Appendicitis ◽

Radiological Data ◽

Negative Appendectomy Rate ◽

New Scoring

Background.Decision-making for management may sometimes be difficult in acute appendicitis (AA). Various diagnostic scoring systems exist, but their sensitivity and specificity rates are far from ideal. In this study, the determination of the predictors and the effect of radiological data and developing a new scoring system were aimed.Methods.Medical records of patients who were hospitalized for AA between February 2012 and October 2016 were retrospectively reviewed. All data were compared between patients with and without appendicitis. The multivariate analysis was performed to define significant variables and to examine the sensitivity and specificity of each group of predictors including radiological data. A new scoring system (NSS) was formed and was compared with two existing scoring systems: pediatric appendicitis score (PAS) and Alvarado scoring system (ASS) by using reclassification method.Results.Negative appendectomy rate was 11.3%. Statistical analysis identified 21 independently significant variables. The heel drop test had the highest odds ratio. Sensitivity and specificity rates of clinical predictors were 84.6% and 94.8%, respectively. Radiological predictors increased the sensitivity rate to 86.9%. Sensitivity and specificity rates for PAS, ASS, and NSS were 86.8% and 83.9%, 84.7% and 81.6%, and 96.8% and 95.6%, respectively. The “re-assessed negative appendectomy rate” was 6.2% and false positive results were remarkably more common in patients with duration of symptoms less than 24 hours.Conclusion.Radiological data improves the accuracy of diagnosis. Containing detailed clinical and radiological data, NSS performs superiorly to PAS and ASS, regarding sensitivity and specificity without any age limitation. The efficiency of NSS may be enhanced by determining different predictors for different phases of the inflammatory process.

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Abstract 15298: A New Scoring System for the Prediction of Paroxysmal Atrial Fibrillation Progression and Relationship with Clinical Outcomes

Circulation ◽

10.1161/circ.130.suppl_2.15298 ◽

2014 ◽

Vol 130 (suppl_2) ◽

Author(s):

Hyung Wook Park ◽

Ki Hong Lee ◽

Nam Sik Yoon ◽

Jeong Gwan Cho ◽

Sung Soo Kim ◽

...

Keyword(s):

Heart Failure ◽

Atrial Fibrillation ◽

Clinical Outcomes ◽

Paroxysmal Atrial Fibrillation ◽

Scoring System ◽

Predictive Accuracy ◽

Chronic Renal Disease ◽

Previous History ◽

Scoring Systems ◽

New Scoring

Background: The progression of paroxysmal atrial fibrillation (AF) to persistent, long lasting persistent AF is often associated with poor clinical outcomes. Although some factors were known to be useful, their accuracy and clinical relationship are not good enough to predict the progression. Hypothesis: We aimed to construct a new predictive scoring system for the progression of paroxysmal AF. Also, we aimed to evaluate the relationship of a new predicting system with clinical outcomes. Methods: We analyzed 2,047 patients (61.2±13.2 years old, 1158 males) who were newly diagnosed as AF from January 2006 to January 2013. Progression of AF and clinical outcomes were analyzed after at least one-year follow-up. Clinical outcomes were defined as the composite of death, hospitalization due to heart failure, and new onset stroke. Independent predictors of AF progression were analyzed and incorporated into a new predictive scoring system. Its predictive accuracy was compared with CHADS 2 , CHA 2 DS 2 -VASc, and HATCH scoring system. Results: Paroxysmal AF was diagnosed in 449 (21.6%) patients. Among them, 78 (17.4%) patients progressed to persistent AF. Multivariate analysis showed congestive heart failure (LVEF <45%), hypertension, older age (≥65 years old), chronic renal disease, previous history of stroke, COPD, left atrial enlargement (≥43mm), high NT-pro BNP serum levels (≥1,000 pg/mL) were independently associated with the progression. A new scoring system was calculated with the sum of 1 point at each independent risk factor. It showed better predictive accuracy for AF progression (area under curve (AUC): 0.754, 95% confidence interval [CI] 0.69-0.83, p<0.001) than CHADS 2 (AUC 0.643; 95% CI 0.58-0.71), CHA 2 DS 2 -VASc (AUC 0.647; 95% CI 0.58-0.71), and HATCH score (AUC 0.675; 95% CI 0.61-0.74). Also, it showed better predictive accuracy for the composite of clinical outcomes (AUC 0.764, 95% CI 0.68-0.83, p<0.001) with linear correlation (linear p<0.001) than the other scoring systems. More than 60% of patients with paroxysmal AF progressed into sustained AF if the score by a new system was more than 3. Conclusions: A new scoring system may help to the prediction of AF progression and prognosis for clinical outcomes in patients with paroxysmal AF.

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Differential expression and predictive value of monocyte scavenger receptor CD163 in populations with different tuberculosis infection statuses

BMC Infectious Diseases ◽

10.1186/s12879-019-4525-y ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Qianqian Liu ◽

Qinfang Ou ◽

Huaxin Chen ◽

Yan Gao ◽

Yuanyuan Liu ◽

...

Keyword(s):

Pleural Effusion ◽

Early Stage ◽

Scavenger Receptor ◽

Latent Tuberculosis ◽

Surface Expression ◽

Tuberculosis Infection ◽

Enzyme Linked Immunosorbent Assay ◽

Soluble Cd163 ◽

Diagnosis And Prognosis ◽

Tb Treatment

Abstract Background Monocytes are the predominant innate immune cells at the early stage of Mycobacterium tuberculosis (M. tb) infection as the host defense against intracellular pathogens. Understanding the profile of different monocyte subpopulations and the dynamics of monocyte-related biomarkers may be useful for the diagnosis and prognosis of tuberculosis. Methods We enrolled 129 individuals comprising patients with pulmonary tuberculosis (PTB) (n = 39), tuberculous pleurisy (TBP) (n = 28), malignant pleural effusion (MPE) (n = 21), latent tuberculosis infection (LTBI) (n = 20), and healthy controls (HC) (n = 21). Surface expression of CD14, CD16, and CD163 on monocytes was detected using flow cytometry. In addition, soluble CD163 (sCD163) was determined by enzyme linked immunosorbent assay. Results Higher frequency of CD14+CD16+ (15.7% vs 7.8%, P < 0.0001) and CD14−CD16+ (5.3% vs 2.5%, P = 0.0011) monocytes and a decreased percentage of CD14+CD16− (51.0% vs 70.4%, P = 0.0110) cells was observed in PTB patients than in HCs. Moreover, PTB patients displayed a higher frequency of CD163+ cells in CD16+ monocytes than those in the HC group (40.4% vs 11.3%, P < 0.0001). The level of sCD163 was elevated in TBP patients and was higher in pleural effusion than in plasma (2116.0 ng/ml vs 1236.0 ng/ml, P < 0.0001). sCD163 levels in pleural effusion and plasma could be used to distinguish TBP from MPE patients (cut-off values: 1950.0 and 934.7 ng/ml, respectively; AUCs: 0.8418 and 0.8136, respectively). Importantly, plasma sCD163 levels in TBP patients decreased significantly after anti-TB treatment. Conclusions Higher expression of membrane and soluble CD163 in active tuberculosis patients might provide insights regarding the pathogenesis of tuberculosis, and sCD163 may be a novel biomarker to distinguish TBP from MPE and to predict disease severity.

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Prediction of the prognosis of patients with acute-on-chronic hepatitis B liver failure using the model for end-stage liver disease scoring system and a novel logistic regression model

Journal of Viral Hepatitis ◽

10.1111/j.1365-2893.2008.01046.x ◽

2009 ◽

Vol 16 (7) ◽

pp. 464-470 ◽

Cited By ~ 59

Author(s):

Q.-F. Sun ◽

J.-G. Ding ◽

D.-Z. Xu ◽

Y.-P. Chen ◽

L. Hong ◽

...

Keyword(s):

Logistic Regression ◽

Chronic Hepatitis ◽

Liver Disease ◽

Hepatitis B ◽

Liver Failure ◽

Scoring System ◽

Logistic Regression Model ◽

End Stage Liver Disease ◽

End Stage ◽

Disease Scoring

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Development of a Novel Scoring System for Comprehensive COVID-19 Patient Evaluation: An Evidence-Based Systematic Review

Archives of Pediatric Infectious Diseases ◽

10.5812/pedinfect.110201 ◽

2020 ◽

Vol In Press (In Press) ◽

Author(s):

Abdollah Karimi ◽

Roxana Mansour Ghanaie ◽

Mohammad Reza Masjedi ◽

Seyed Alireza Fahimzad ◽

Sedigheh Rafiei Tabatabaei ◽

...

Keyword(s):

Systematic Review ◽

Prognostic Factors ◽

Scoring System ◽

Clinical Symptoms ◽

Scoring Systems ◽

Test Results ◽

Specific Test ◽

Multiple Variables ◽

The Relationship ◽

New Scoring

Context: In the era of the SARS-CoV-2 virus pandemic, new scoring systems need to be developed to estimate the risk of COVID-19 complications aiding in the accurate prognosis. Improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. Methods: Published articles were selected that assessed the relationship between clinical, para-clinical, demographics, co-morbidities, and outcomes of COVID-19 patients in a systematic review to develop a novel scoring system. Results: In this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: Age, clinical symptoms, co-morbidities, and tests. Twenty-three published articles met the selection criteria and were included in this study. Accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: Age, clinical symptoms, co-morbidities, and specific test results. Conclusions: This novel scoring model helps physicians to early identify critical COVID-19 patients and optimize patient management based on recent comprehensive data of the most significant predictive factors.

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