Use of Thromboelastography to Assess Haemostatic Changes during Paediatric Cardiac Surgery and to Predict Post-Operative Bleeding.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 1038-1038
Author(s):  
Beverley J. Hunt ◽  
S. Moganansundram ◽  
S. M. Tibby ◽  
F. Holton ◽  
A. Durward ◽  
...  

Abstract The management of post-operative bleeding in paediatric cardiac surgery is difficult because the underlying haemostatic changes have been poorly studied. The thromboelastogram (TEG) provides a real-time, functional measure of haemostasis, quantifying clot formation, strength and lysis. We investigated the use of serial intra-operative TEG to assess perioperative haemostatic changes and as an adjunct to demographic and laboratory variables for the prediction of bleeding following cardiopulmonary bypass (CPB) surgery. Ethical committee approval was obtained to study fifty-one children, median (interquartile) age 6.8 months (0.5 to 10.5) prospectively through CPB and for the first 24 hours after intensive care unit admission. Significant post-operative blood loss was defined as more than 10ml/kg in the first four post-operative hours. TEG readings and traditional coagulation parameters were measured throughout CPB. Forward stepwise logistic regression analysis was used to predict bleeding. The incidence of bleeding was 37% (19/51), with a mean 4-hour blood loss of 24 ml/kg. Both groups showed abnormalities in all TEG parameters (apart from lysis) at the end of CPB, which were more marked among those who bled (all p<0.05). Hyperfibrinolysis was not seen. Addition of heparinase to the TEG samples taken after protamine administration demonstrated a small but consistent heparin effect for all TEG parameters only among patients who bled, however this group exhibited comparable protamine:heparin ratios to those who did not (p = 0.22). Significant multivariate predictors of bleeding included fibrinogen level at induction of anaesthesia; occurrence of circulatory arrest; and two TEG parameters taken at the end of CPB: “k” (the time to maximal clot formation) and “angle” (the rate of clot formation). The final model predicted bleeding well, producing an area under the receiver operating characteristic curve of 0.855 (95% CI 0.750 to 0.960). In summary, the aetiology of bleeding after paediatric cardiac surgery appears to be due to inadequate clot formation rather than fibrinolysis. TEG readings taken at the end of CPB, in conjunction with laboratory and demographic variables may provide a useful predictor of post-operative bleeding.

2001 ◽  
Vol 18 (Supplement 22) ◽  
pp. 31-32
Author(s):  
H. Mössinger ◽  
W. Dietrich ◽  
S. Braun ◽  
J. A. Richter

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Ariane Willems ◽  
Françoise De Groote ◽  
Denis Schmartz ◽  
Jean-François Fils ◽  
Philippe Van der Linden

2017 ◽  
Vol 35 (07) ◽  
pp. 660-668 ◽  
Author(s):  
U. M. Reddy ◽  
C. C. Huang ◽  
T. C. Auguste ◽  
D. Bauer ◽  
R. T. Overcash ◽  
...  

Objective We sought to develop a model to calculate the likelihood of vaginal delivery in nulliparous women undergoing induction at term. Study Design We obtained data from the Consortium on Safe Labor by including nulliparous women with term singleton pregnancies undergoing induction of labor at term. Women with contraindications for vaginal delivery were excluded. A stepwise logistic regression analysis was used to identify the predictors associated with vaginal delivery by considering maternal characteristics and comorbidities and fetal conditions. The receiver operating characteristic curve, with an area under the curve (AUC) was used to assess the accuracy of the model. Results Of 10,591 nulliparous women who underwent induction of labor, 8,202 (77.4%) women had vaginal delivery. Our model identified maternal age, gestational age at delivery, race, maternal height, prepregnancy weight, gestational weight gain, cervical exam on admission (dilation, effacement, and station), chronic hypertension, gestational diabetes, pregestational diabetes, and abruption as significant predictors for successful vaginal delivery. The overall predictive ability of the final model, as measured by the AUC was 0.759 (95% confidence interval, 0.749–0.770). Conclusion We identified independent risk factors that can be used to predict vaginal delivery among nulliparas undergoing induction at term. Our predictor provides women with additional information when considering induction.


2019 ◽  
Vol 46 (6) ◽  
pp. 555-563 ◽  
Author(s):  
Karen Hambardzumyan ◽  
Rebecca J. Bolce ◽  
Johan K. Wallman ◽  
Ronald F. van Vollenhoven ◽  
Saedis Saevarsdottir

Objective.To investigate baseline levels of 12 serum biomarkers that constitute a multibiomarker disease activity test, as predictors of response to methotrexate (MTX) in patients with early rheumatoid arthritis (eRA).Methods.In 298 patients from the Swedish Pharmacotherapy (SWEFOT) clinical trial, baseline serum levels of 12 proteins were analyzed for association with disease activity based on the 28-joint count Disease Activity Score (DAS28) after 3 months of MTX monotherapy using uni-/multivariate logistic regression. Primary outcome was low disease activity (LDA; DAS28 ≤ 3.2).Results.Of 298 patients, 104 achieved LDA after 3 months on MTX. Four of the 12 biomarkers [C-reactive protein (CRP), leptin, tumor necrosis factor receptor I (TNF-RI), and vascular cell adhesion molecule 1 (VCAM-1)] significantly predicted LDA based on stepwise logistic regression analysis. Dichotomization of patients using receiver-operating characteristic curve analysis-based cutoffs for these biomarkers showed significantly higher proportions with LDA among patients with lower versus higher levels of CRP or leptin (40% vs 23%, p = 0.004, and 40% vs 25%, p = 0.011, respectively), as well as among those with higher versus lower levels of TNF-RI or VCAM-1 (43% vs 27%, p = 0.004, and 41% vs 25%, p = 0.004, respectively). Combined score based on these biomarkers, adjusted for known predictors of LDA (smoking, sex, and age), associated with decreased chance of LDA (adjusted OR 0.45, 95% CI 0.32–0.62).Conclusion.Low baseline levels of CRP and leptin, and high baseline levels of TNF-RI and VCAM-1 were associated with LDA after 3 months of MTX therapy in patients with eRA. Combination of these 4 biomarkers increased accuracy of prediction. [Trial registration number: NCT00764725]


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039236
Author(s):  
Lucia Cocomello ◽  
Massimo Caputo ◽  
Rosie Cornish ◽  
Deborah Lawlor

ObjectiveIndependent temporal external validation of the improving partial risk adjustment in surgery model (PRAIS-2) to predict 30-day mortality in patients undergoing paediatric cardiac surgery.DesignRetrospective analysis of prospectively collected data.SettingPaediatric cardiac surgery.InterventionPRAIS-2 validation was carried out using a two temporally different single centre (Bristol, UK) cohorts: Cohort 1 surgery undertaken from April 2004 to March 2009 and Cohort 2 from April 2015 to July 2019. For each subject PRAIS-2 score was calculated according to the original formula.ParticipantsA total of 1352 (2004-2009) and 1197 (2015-2019) paediatric cardiac surgical procedures were included in the Cohort 1 and Cohort 2, respectively (median age at the procedure 6.3 and 7.1 months).Primary and secondary outcome measuresPRAIS-2 performance was assessed in terms of discrimination by means of ROC (receiver operating characteristic) curve analysis and calibration by using the calibration belt method.ResultsPRAIS-2 score showed excellent discrimination for both cohorts (AUC 0.72 (95%CI: 0.65 to 0.80) and 0.88 (95%CI: 0.82 to 0.93), respectively). While PRAIS-2 was only marginally calibrated in Cohort 1, with a tendency to underestimate risk in lowrisk and overestimate risk in high risk procedures (P-value = 0.033), validation in Cohort 2 showed good calibration with the 95% confidence belt containing the bisector for predicted mortality (P-value = 0.143). We also observed good prediction accuracy in the non-elective procedures (N = 483;AUC 0.78 (95%CI 0.68 to 0.87); Calibration belt containing the bisector (P-value=0.589).ConclusionsIn a single centre UK-based cohort, PRAIS-2 showed excellent discrimination and calibration in predicting 30-day mortality in paediatric cardiac surgery including in those undergoing non-elective procedures. Our results support a wider adoption of PRAIS-2 score in the clinical practice.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Troy Puar ◽  
Wann Jia Loh ◽  
Dawn Shao Ting Lim ◽  
Meifen Zhang ◽  
Roger S Foo ◽  
...  

Abstract Objective Prediction models have been developed to predict either unilateral or bilateral primary aldosteronism, and these have not been validated externally. We aimed to develop a simplified score to predict both subtypes and validate this externally. Methods Our development cohort was taken from 165 patients who underwent adrenal vein sampling (AVS) in two Asian tertiary centres. Unilateral disease was determined using both AVS and post-operative outcome. Multivariable analysis was used to construct prediction models. We validated our tool in a European cohort of 97 patients enrolled in a clinical trial. Previously published prediction models were also tested in our cohorts. Results Backward stepwise logistic regression analysis yielded a final tool using baseline-aldosterone-to-lowest-potassium ratio (APR, ng/dL/mmol/L), with an area under receiver operating characteristic curve of 0.80 (95% CI: 0.70 - 0.89). In the Asian development cohort, probability of bilateral disease was 90.0% (with APR &lt;5) and probability of unilateral disease was 91.4% (with APR &gt;15). Similar results were seen in the European validation cohort. Combining both cohorts, probability of bilateral disease was 76.7% (with APR &lt;5), and probability for unilateral was 91.7% (with APR &gt;15). Other models had similar predictive ability but required more variables, and were less sensitive for identifying bilateral PA. Conclusion The novel aldosterone-potassium ratio (APR) is a convenient score to guide clinicians and patients of various ethnicities on the probability of PA subtype. Using APR to identify patients more likely to benefit from AVS may be a cost-effective strategy to manage this common condition.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23113-e23113
Author(s):  
Mandeep K Garg ◽  
Eniyavel Ramamoorthy ◽  
Paramjeet Singh ◽  
Ashutosh Nath Aggarwal ◽  
Nalini Gupta

e23113 Background: To assess the diagnostic performance and additional value of diffusion-weighted (DW) magnetic resonance imaging (MRI) in the characterization of mediastinal lymphadenopathy. Methods: This prospective study was approved by the institutional review board, and written informed consent was obtained from all patients. A total of 43 patients [23 males and 20 females with mean age of 49 years] with mediastinal lymphadenopathy underwent DW and T2 weighted MRI and pathological examination in the period of January 2015 to June 2016. Diffusion restriction pattern, apparent diffusion coefficient (ADC) mean value, size and T2 heterogeneous signal intensity of the nodes were evaluated. Receiver operating characteristic curve analysis was used to determine ADC mean threshold values. The best predicting combinations of these four parameters were selected by means of stepwise logistic regression analysis. Results: ADC mean value of malignant lymphadenopathy (0.873±0.109×10−3 mm2/s) was significantly different from that of benign lymphadenopathy (1.663±0.311×10−3 mm2/s) (P < 0.001). When an ADC mean value of 1.0955×10−3 mm2/s was used as a threshold value for differentiating malignant from benign nodes, the best results were obtained with a sensitivity of 94%, a specificity of 96% and area under the curve of 0.996. The three other predictor variables didn’t add anything statistically significant to the regression equation with ADC mean. Conclusions: ADC mean value of malignant mediastinal lymphadenopathy was significantly different from the benign lymphadenopathy. The ADC mean value was the strongest independent predictor of malignancy.


Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1979
Author(s):  
Chia-Te Kung ◽  
Chih-Min Su ◽  
Sheng-Yuan Hsiao ◽  
Fu-Cheng Chen ◽  
Yun-Ru Lai ◽  
...  

Increased soluble triggering receptor expressed on myeloid cells 1 (sTREM-1) levels have been reported in patients with sepsis. We tested the hypotheses that serum sTREM-1 levels increase in the early phase of sepsis and decrease after sepsis under appropriate treatment and that sTREM-1 levels can predict therapeutic outcomes. One hundred and fifty-five patients prospectively underwent blood samples including biochemical data, sTREM-1, and biomarkers on endothelial dysfunction as well as clinical severity index examinations. Blood samples from Days 1, 4, and 7 after admission were checked. For comparison, 50 healthy subjects were selected as healthy control. Those patients who had sepsis had significantly higher sTREM-1 levels than those of healthy control. sTREM-1 levels positively correlated with biomarkers for endothelial dysfunction (ICAM-1, VCAM-1, and E-selectin) and lactate level as well as clinical severity index (maximum 24 h APACHE score and Sequential Organ Failure Assessment (SOFA) score) upon admission. sTREM-1 concentrations were significantly higher from Day 1 to Day 7 in the non-survivors than in the survivors. A stepwise logistic regression analysis showed only sTREM-1 level and maximum 24 h SOFA score upon admission were significantly associated with fatality. Area under the receiver operating characteristic curve analysis for the diagnostic accuracy of sTREM-1 in sepsis-related fatality gave a value of 0.726, with a cutoff value of 384.6 pg/mL (sensitivity = 80.8% and specificity = 61.5%). sTREM-1 level may be valuable in auxiliary diagnosis, and it can serve as a useful biomarker as a screening service and follow-up therapeutic outcomes in sepsis.


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