Role of leucocytes cell population data in the early detection of sepsis

2017 ◽  
Vol 71 (3) ◽  
pp. 259-266 ◽  
Author(s):  
Eloísa Urrechaga ◽  
Oihane Bóveda ◽  
Urko Aguirre
Keyword(s):  
Logistic Regression ◽  
Early Diagnosis ◽  
Cell Population ◽  
Predictive Value ◽  
Complete Blood Count ◽  
Area Under The Curve ◽  
Population Data ◽  
Risk Groups ◽  
Multivariate Logistic Regression Model ◽  
Morphological Alterations

AimsThe cell population data (CPD) parameters reported by XN analyser (Sysmex, Kobe, Japan) reflect the size and internal structure of leucocytes. We aimed to assess the clinical utility of these parameters as biomarkers for the early diagnosis of sepsis.MethodsThe study group (G1) included 586 controls (no quantitative or morphological alterations in the complete blood count) and 137 patients diagnosed with sepsis. The reliability of the model was evaluated using a validation group (G2) of 212 controls and 60 patients with sepsis. The optimal cut-off for the diagnosis of sepsis and the OR for CPD were established using a univariate logistic regression. A multivariate logistic regression model was then created. The OR and area under the curve were recorded. A risk stratification scale (neutrophils and monocytes (NEMO)) for diagnosing sepsis was established on the basis of the coefficients of the multivariate model.ResultsMO-X and neutrophils fluorescence intensity (NE-SFL) were found to be the most relevant of the CPD in predicting sepsis applying multivariate analysis to G1.NEMO score was composed using the above-mentioned CPD and subsequently stratified into three risk groups: mild (≤3), moderate (4≤NEMO≤5) and high (≥6). The OR for patients with a score of 4–5 was 10 and 249 for a score of ≥6. When applied to G2, the positive predictive value was 84.8 % and the negative predictive value was 96.0%.ConclusionsCPD are potentially useful for the early diagnosis of sepsis. Their values were used to compose in NEMO score can help in rapid and reliable decision making.

Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection

2020 ◽  
Vol 26 (40) ◽  
pp. 5213-5219
Author(s):  
Yun Chen ◽  
Jinwei Zheng ◽  
Junping Chen
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Elderly Patients ◽  
Curative Resection ◽  
Postoperative Delirium ◽  
Area Under The Curve ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Clinicopathologic Characteristics

Background: Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Methods: Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. Results: A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98–5.87, P=0.003). Conclusions: In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

Automated screening for myelodysplastic syndromes through analysis of complete blood count and cell population data parameters

2014 ◽  
Vol 89 (4) ◽  
pp. 369-374 ◽  
Author(s):  
Philipp W. Raess ◽  
Gert-Jan M. van de Geijn ◽  
Tjin L. Njo ◽  
Boudewijn Klop ◽  
Dmitry Sukhachev ◽  
...  
Keyword(s):  
Cell Population ◽  
Myelodysplastic Syndromes ◽  
Blood Count ◽  
Complete Blood Count ◽  
Population Data ◽  
Automated Screening

scholarly journals A Novel Marker for Screening Paroxysmal Nocturnal Hemoglobinuria Using Routine Complete Blood Count and Cell Population Data

2015 ◽  
Vol 35 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Jimin Kahng ◽  
Yonggoo Kim ◽  
Jung Ok Kim ◽  
Kwangsang Koh ◽  
Jong Wook Lee ◽  
...  
Keyword(s):  
Cell Population ◽  
Paroxysmal Nocturnal Hemoglobinuria ◽  
Blood Count ◽  
Complete Blood Count ◽  
Population Data

scholarly journals Influence of Main Ocular Variables in #TheDress Perception: An Ophthalmic Survey

Perception ◽  
2021 ◽  
Vol 50 (4) ◽  
pp. 367-378
Author(s):  
Julio González-Martín-Moro ◽  
Inés Contreras ◽  
Irene Fuentes-Vega ◽  
Francisco Prieto-Garrido ◽  
María Castro-Rebollo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Crystalline Lens ◽  
Cross Sectional Study ◽  
Nuclear Cataract ◽  
Predictive Capacity ◽  
Cross Sectional ◽  
Low Area ◽  
Ocular Health

The objective of this study is to study the influence of ocular variables in the perception of #thedress and to develop a logistic regression model that could help predict it. This is a cross-sectional study on 1,100 subjects. People who did not report one of the two main perceptions were excluded from the study. Dress perception was codified as 0 (white&gold) or 1 (black&blue). The association between dress perception and demographic and main ocular variables (age, gender, binocular visual acuity, grade of nuclear cataract, crystalline lens status [phakic/pseudophakic], spherical equivalent, and ocular health status) was tested using logistic regression. Receiver operation curves were used to test the predictive value of the model. Several variables were found to be related with dress perception. The best model included three variables—Age: adjusted odds ratio (OR) = 1.02 (1.01–1.03), p = 0.08; ocular refraction: adjusted OR = 1.07 (1.02–1.12), p = 0.009; and nuclear cataract grade: adjusted OR = 1.45 (1.05–1.99), p = 0.026. The predictive value of the model was low (area under the curve = 0.62). Older age, nuclear cataract grade, and hyperopia were associated with black&blue perception. The predictive capacity of the developed model was poor. Only a small proportion of the variability in the #thedress perception can be explained by ocular examination.

scholarly journals First trimester secreted Frizzled-Related Protein 4 and other adipokine serum concentrations in women developing gestational diabetes mellitus

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242423
Author(s):  
Joost H. N. Schuitemaker ◽  
Rik H. J. Beernink ◽  
Arie Franx ◽  
Thomas I. F. H. Cremers ◽  
Maria P. H. Koster
Keyword(s):  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Age ◽  
Area Under The Curve ◽  
First Trimester ◽  
Multivariate Logistic Regression Model ◽  
Control Group ◽  
Related Protein ◽  
Serum Samples ◽  
First Trimester Of Pregnancy

Background The aim of this study was to evaluate whether soluble frizzled-related protein 4 (sFRP4) concentration in the first trimester of pregnancy is individually, or in combination with Leptin, Chemerin and/or Adiponectin, associated with the development of gestational diabetes (GDM). Methods In a nested case-control study, 50 women with GDM who spontaneously conceived and delivered a live-born infant were matched with a total of 100 uncomplicated singleton control pregnancies based on body mass index (± 2 kg/m2), gestational age at sampling (exact day) and maternal age (± 2 years). In serum samples, obtained between 70–90 days gestational age, sFRP4, Chemerin, Leptin and Adiponectin concentrations were determined by ELISA. Statistical comparisons were performed using univariate and multi-variate logistic regression analysis after logarithmic transformation of the concentrations. Discrimination of the models was assessed by the area under the curve (AUC). Results First trimester sFRP4 concentrations were significantly increased in GDM cases (2.04 vs 1.93 ng/ml; p<0.05), just as Chemerin (3.19 vs 3.15 ng/ml; p<0.05) and Leptin (1.44 vs 1.32 ng/ml; p<0.01). Adiponectin concentrations were significantly decreased (2.83 vs 2.94 ng/ml; p<0.01) in GDM cases. Further analysis only showed a weak, though significant, correlation of sFRP4 with Chemerin (R2 = 0.124; p<0.001) and Leptin (R2 = 0.145; p<0.001), and Chemerin with Leptin (R2 = 0.282; p<0.001) in the control group. In a multivariate logistic regression model of these four markers, only Adiponectin showed to be significantly associated with GDM (odds ratio 0.12, 95%CI 0.02–0.68). The AUC of this model was 0.699 (95%CI 0.605–0.793). Conclusion In the first trimester of pregnancy, a multi-marker model with sFRP4, Leptin, Chemerin and Adiponectin is associated with the development of GDM. Therefore, this panel seems to be an interesting candidate to further evaluate for prediction of GDM in a prospective study.

An efficient algorithm based on electrograms characteristics to identify ventricular tachycardia isthmus entrance in post-infarct patients

EP Europace ◽  
2019 ◽  
Author(s):  
Alberto Battaglia ◽  
Freddy Odille ◽  
Isabelle Magnin-Poull ◽  
Jean-Marc Sellal ◽  
Philip Hoyland ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ventricular Tachycardia ◽  
Catheter Ablation ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Limited Data ◽  
Recording Site ◽  
Bipolar Voltage

Abstract Aims Our study assesses the value of electrograms (EGMs) characteristics to identify a ventricular tachycardia (VT) isthmus entrance in patients with post-infarct VT. Post-infarct VTs are mostly due to a re-entrant circuit. A pacemapping (PM) approach is able to localize the VT isthmus during sinus rhythm. Limited data are available about the role of local EGMs in defining VT isthmus location. Methods and results Twenty consecutive patients (70% male) referred for post-infarct VT catheter ablation were included in the present study. The VT isthmus was defined according to the PM method. At each recording site, 10 characteristics of the local EGM were assessed to predict the location of the VT isthmus entrance. In total, 924 EGMs were acquired, of which 127 were located in the VT isthmus entrance. Logistic regression analysis showed that bipolar voltage, number of EGM positive peaks, and sQRS interval were independently associated with VT isthmus entrance location. The ROC curve best fitted the model at the cut-off 0.1641 (sensitivity 72%, specificity 75.2%, positive predictive value 31.3%, negative predictive value 94.4%, area under the curve 0.78, P < 0.001). Based upon these results, we developed an algorithm implemented in an automatic calculator to determine the likelihood that an EGM is located at a VT isthmus entrance. Conclusion Our study suggests that three EGM characteristics: bipolar voltage, number of positive peaks, and sQRS interval can successfully identify a VT isthmus entrance in post-infarct patients.

scholarly journals Value of Galectin-3 assay in children with heart failure secondary to congenital heart diseases: a prospective study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Nagwan Saleh ◽  
Ahmed Khattab ◽  
Mohamed Rizk ◽  
Sherif Salem ◽  
Hany Abo-Haded
Keyword(s):  
Heart Failure ◽  
Serum Level ◽  
Early Diagnosis ◽  
Ejection Fraction ◽  
Predictive Value ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Area Under The Curve ◽  
Reduced Ejection Fraction ◽  
Galectin 3

Abstract Background Galectin-3 is a new biomarker, which plays an important role in tissue inflammation, cardiac remodeling, and fibrosis. It can be readily measured in the circulation to detect early heart failure (HF). This study aimed to assess the value of galectin-3 assay in early diagnosis of children with heart failure secondary to congenital heart disease (CHD) and correlate it with the patients’ outcome. Methods This prospective cohort study included 75 children diagnosed to have CHD; {Group A: 45 CHD children with HF symptoms and reduced ejection fraction (REF) and Group B: 30 CHD children with no HF symptoms and normal ejection fraction (NEF)}. They were compared to 40 age- and sex-matched controls (Group C). Children with CHD undergone history taking, Ross HF classification, Echocardiographic assessment and laboratory investigations including serum galactin-3 level. Results Galectin-3 serum level increased in CHD children, and it showed significant increase in (Gp A) compared to Gp B or Gp C (p = ≤ 0.001). In addition, serum level of Galactin-3 was correlated positively with Ross classification (r = 0.68, p = 0.018) and negatively correlated to EF% (r= -0.61, p ≤ 0.001). Galactin-3 showed better diagnostic value than Ross HF classification in early diagnosis of HF in CHD children with a cut point (≥ 10.4), significantly had 96.7% sensitivity, 90% specificity, 91% positive predictive value, 93.2% negative predictive value, with area under the curve (AUC = 0.96) and 93% accuracy. While there was a significant correlation between Ross HF classification and HF outcome in (Gp A) children (p = 0.05), we did not find any significant correlation between serum galectin-3 level and HF mortality in same group (p = 0.08). Conclusions Galectin-3 assay is a promising marker for early diagnosis of HF in children with CHD; but it has no role in detecting HF mortality.

scholarly journals qS-Ne2Mo Score – A New Risk Stratification Tool For Early Detection of Septic Shock in The Field of Emergency Medicine

2021 ◽  
Author(s):  
Peter Erdelyi ◽  
Laszlo Papp ◽  
Imre Foldesi ◽  
Katalin Farkas ◽  
Zsolt Molnar ◽  
...  
Keyword(s):  
Septic Shock ◽  
Risk Stratification ◽  
Cell Population ◽  
Complete Blood Count ◽  
Early Recognition ◽  
Population Data ◽  
The United States ◽  
Receiver Operating Curve ◽  
Suspected Infection ◽  
Risk Stratification Tool

Abstract Background Sepsis is one of the most significant healthcare concerns of the 21st century. In the United States sepsis affect 1.7 million adults, with 270,000 fatal cases, according to the estimation of Centers for Disease Control and Prevention. The management of sepsis relies on early recognition, therefore the emergency departments have distinctive role in sepsis care, hence the need for early reliable risk stratification tools.Methods A retrospective, quantitative study was performed in Department of Emergency, University of Szeged. Hungary. Patients with suspected infection were enrolled to four subgroups based on the results of patient examination and laboratory results. In all cases (N=276), cell population data markers were analyzed along with ordinary infection biomarkers, such as CRP, PCT and WBC. Performance of cell population data parameters were investigated with ROC (Receiver Operating Curve) analysis.Results Almost all cell population biomarkers showed significant differences in the subgroup analysis. Remarkable performance was found in three markers (NE-SFL/M, MO-X/M and NE-WY/M) in patients having septic shock. Combining quick SOFA with these biomarkers (qS-Ne2Mo score) resulted in excellent diagnostic ability for septic shock (AUC 0.914, p<0.001), with good sensitivity (73.9%) and excellent specificity (89 %).Conclusions Since determination of cell population data requires complete blood count analysis, turn-around time of this novel indicator is significantly lower than other methods. qS-Ne2Mo score might be used as an initial screening tool to select only those patients that need more extensive laboratory investigations for their proper treatment and spare inadequate, time and money consuming laboratory requests.Trial Registration: University of Szeged, Ethical Committee ref. nr. 25/2016-SZTE

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