Validation of Michigan risk score and D-dimer to predict peripherally inserted central catheter-related thrombosis: A study of 206,132 catheter days

2021 ◽  
pp. 112972982110087
Author(s):  
Junren Kang ◽  
Wenyan Sun ◽  
Hailong Li ◽  
En ling Ma ◽  
Wei Chen
Keyword(s):  
Sensitivity And Specificity ◽  
Risk Score ◽  
Primary Objective ◽  
Class Iii ◽  
Operating Characteristics ◽  
Central Venous ◽  
Sensitivity Specificity ◽  
Catheter Related Thrombosis ◽  
D Dimer ◽  
Independent Cohort

Background: The Michigan Risk Score (MRS) was the only predicted score for peripherally inserted central venous catheters (PICC) associated upper extremity venous thrombosis (UEVT). Age-adjusted D-dimer increased the efficiency for UEVT. There were no external validations in an independent cohort. Method: A retrospective study of adult patients with PICC insertion was performed. The primary objective was to evaluate the performance of the MRS and age-adjusted D-dimer in estimating risk of PICC-related symptomatic UEVT. The sensitivity, specificity and areas under the receiver operating characteristics (ROC) of MRS and age-adjusted D-dimer were calculated. Results: Two thousand one hundred sixty-three patients were included for a total of 206,132 catheter days. Fifty-six (2.6%) developed PICC-UEVT. The incidences of PICC-UEVT were 4.9% for class I, 7.5% for class II, 2.2% for class III, 0% for class IV of MRS ( p = 0.011). The incidences of PICC-UEVT were 4.5% for D-dimer above the age-adjusted threshold and 1.5% for below the threshold ( p = 0.001). The areas under ROC of MRS and age-adjusted D-dimer were 0.405 (95% confidence interval (CI) 0.303–0.508) and 0.639 (95% CI 0.547–0.731). The sensitivity and specificity of MRS were 0.82 (95% CI, 0.69–0.91), 0.09 (95% CI, 0.08–0.11), respectively. The sensitivity and specificity of age-adjusted D-dimer were 0.64 (95% CI, 0.46–0.79) and 0.64 (95% CI, 0.61–0.66), respectively. Conclusions: MRS and age-adjusted D-dimer have low accuracy to predict PICC-UEVT. Further studies are needed.

scholarly journals The diagnostic effect of α-defensin, D-dimer, and IL-6 in periprosthetic joint infection: A systematic review and diagnostic meta-analysis

2020 ◽  
Vol 28 (3) ◽  
pp. 230949902097186
Author(s):  
Baozhong Tian ◽  
Liwen Cui ◽  
Weihai Jiang
Keyword(s):  
Systematic Review ◽  
Sensitivity And Specificity ◽  
Periprosthetic Joint Infection ◽  
Meta Analysis ◽  
Joint Infection ◽  
Common Complication ◽  
Online Databases ◽  
Artificial Joint Replacement ◽  
Sensitivity Specificity ◽  
D Dimer

Background: Periprosthetic joint infection (PJI) is the most common complication after artificial joint replacement as previously reported. However, the main problem at present is its difficulty in diagnosis. This systematic review and meta-analysis aimed to compare the diagnostic accuracy of α-defensin, D-dimer, and interleukin-6 (IL-6) in clinical practice. Method: Online databases were systematically searched until June 18th, 2020 with keywords and medical sub-headings terms. Studies mentioned the sensitivity and specificity of biological markers in detecting PJI were included in our study. The sensitivity, specificity, and diagnostic odds ratios (DORs) were obtained after integration. Results: A total of 34 studies with 1036 patients diagnosing as PJI were included for comparing α-defensin, D-dimer, and IL-6. The sensitivity and specificity of α-defensin for PJI were 0.88 and 0.96, and the DOR was 189 (95% CI 72–496), respectively. The sensitivity and specificity of D-dimer (0.82 and 0.72) and IL-6 (0.80 and 0.89) were lower than α-defensin. Conclusion: The detection of α-defensin is a promising biomarker for diagnosing PJI. The optional cut-off needs to be curtained when using other biomarkers.

scholarly journals A “new vista” in the assessment of antero-posterior jaw relationship

2015 ◽  
Vol 5 ◽  
pp. 151-155
Author(s):  
Divi Mittal ◽  
Shivanand Venkatesh ◽  
Prashantha Govinakovi Shivamurthy ◽  
Silju Mathew
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Curves ◽  
Class Ii ◽  
Class I ◽  
Class Iii ◽  
Operating Characteristics ◽  
Lateral Cephalogram ◽  
Skeletal Class ◽  
Lateral Cephalograms ◽  
Posterior Discrepancy

Aim The purpose of this investigation was to (1) compare the credibility of four recently introduced cephalometric measurements in assessing the antero-posterior jaw relationship; (2) To assess the correlation between various measurements used for assessment of antero-posterior discrepancy, including Yen linear, Yen angle, W angle and Pi angle. Materials and Methods The sample size for the study consisted of 45 subjects with age group of 15-19 years (mean age 17 ± 2.1) and was subdivided into Skeletal Class I, II and III groups of 15 each based upon the ANB angle derived from the pre treatment lateral cephalogram. Landmarks were located and Yen angle, Yen linear, W angle and Pi angle were assessed for each group. All the lateral cephalograms were traced by a single examiner. Intra examiner reliability was assessed by Intraclass co-efficient correlation (ICC) test. Correlation coefficients were obtained for each of parameters to compare their relationship with other parameters in Class I group. Receiver operating characteristics (ROC) curves were run to examine sensitivity and specificity of all the angles. Results The results showed that ICC for all the groups were ≥0.90 showing good repeatability of the measurements. There was statistically significant correlation between Yen angle and ANB angle, Yen linear and Yen angle for Class I group, between W angle and Yen angle for Class II group, between Yen angle, Yen linear and ANB for Class III group. ROC curves showed that Pi angle had 100% sensitivity and specificity to discriminate a Class II and a Class III group from a Class I and a Class III group from a Class II. Yen linear and W angle showed very low specificity to differentiate a Class II from a Class I group. Interpretation and Conclusion The new parameters considered in the study were found to be equally reliable and are not affected much by local remodeling due to tooth movements or by occlusal or Frankfurt horizontal plane. These parameters measure the antero-posterior discrepancy more consistently and accurately, with Pi angle being the most accurate.

D-dimer from central and peripheral blood samples in asymptomatic central venous catheter-related thrombosis in patients with cancer

2018 ◽  
Vol 34 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Homero Nañez-Terreros ◽  
Jose C Jaime-Perez ◽  
Linda E Muñoz-Espinoza ◽  
Carlos R Camara-Lemaroy ◽  
Gerardo E Ornelas-Cortinas ◽  
...  
Keyword(s):  
Central Venous Catheter ◽  
Venous Blood ◽  
Venous Catheter ◽  
Central Venous ◽  
False Negatives ◽  
Altman Plot ◽  
Patients With Cancer ◽  
Peripheral Samples ◽  
Catheter Related Thrombosis ◽  
D Dimer

Objectives To evaluate the usefulness of a negative D-dimer in peripheral or central venous blood to screen for asymptomatic catheter-related thrombosis in cancer patients. Methods D-dimer was measured in blood from central venous catheter and peripheral venous samples in 48 patients with cancer. Asymptomatic catheter-related thrombosis was identified via Doppler ultrasound. Bland and Altman’s limits of agreement analysis was used to compare sample sites. Sensitivity and specificity of D-dimer was calculated. Results Overall, 33 of the central samples and 32 of the peripheral samples had D-dimer levels below the cutoff (≥0.3 mg/l). Mean central D-dimer was 0.31 ± 0.35 mg/l; peripheral 0.24 ± 0.22 mg/l (p = 0.5). Bland–Altman plot showed that the two sample sites were not equivalent. Catheter-related thrombosis was demonstrated in five patients, and there were three false negatives. Peripheral D-dimer had a negative predictive value of 90.9%. Conclusions A negative D-dimer may be useful for screening asymptomatic catheter-related thrombosis in patients with cancer, but the central and peripheral sample sites are not equivalent.

scholarly journals The use of mean platelet volume for distinguishing the causes of thrombocytopenia in adult patients

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Lalita Norrasethada ◽  
Wichan Khumpoo ◽  
Ekarat Rattarittamrong ◽  
Thanawat Rattanathammethee ◽  
Chatree Chai-Adisaksopha ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Mean Platelet Volume ◽  
Bone Marrow Examination ◽  
Primary Objective ◽  
Operating Characteristics ◽  
Training Set ◽  
Platelet Volume ◽  
Secondary Objective ◽  
Validation Set ◽  
Sensitivity Specificity

Establishment and analysis of mean platelet volume (MPV) may be helpful in the discrimination between underproduction or over-destruction of platelets as the causes of thrombocytopenia. The primary objective is to find the cut-off point of MPV for distinguishing causes of thrombocytopenia. The secondary objective is to validate the cut-off value of the MPV by using bone marrow examination. Thrombocytopenic patients were enrolled in a training set and a receiving operating characteristics (ROC) curve was plotted to obtain the cut-off value of MPV. A validation set of patients was recruited to validate the cut-off value. The training set included 240 patients. Half with with underproductive (n=120) and half with over-destructive thrombocytopenia (n=120). The best cut-off value of MPV was 8.8 fL. The validation set included 119 patients in total, again in 2 groups, those with underproductive (n=84) and those with overdestructive thrombocytopenia (n=35). The sensitivity, specificity, PPV and NPV when MPV ≥8.8 fL indicating over-destructive thrombocytopenia were 77%, 89%, 89% and 77%, respectively. MPV is useful for differentiating the cause of thrombocytopenia. The value of MPV ≥8.8 fL has acceptable sensitivity and specificity for diagnosis of over-destructive thrombocytopenia.

scholarly journals Derivation and validation of a pretest probability score for deep vein thrombosis before surgery

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Y Hamamoto ◽  
A Tokushige ◽  
T Yuasa ◽  
Y Horizoe ◽  
H Yasuda ◽  
...  
Keyword(s):  
Deep Vein Thrombosis ◽  
High Risk ◽  
General Anesthesia ◽  
Risk Score ◽  
Intermediate Risk ◽  
Derivation Cohort ◽  
Vein Thrombosis ◽  
Deep Vein ◽  
D Dimer ◽  
Independent Cohort

Abstract Background Venous thromboembolism represents a crucial perioperative complication and causes morbidity and mortality. It is important to predict deep vein thrombosis (DVT) before surgery under general anesthesia. Purpose We developed a pretest probability score for predicting DVT with perioperative clinical and laboratory variables. Methods Total 7435 patients were planed surgery under general anesthesia between 2017 and 2018. 1313 patients were performed whole leg ultrasonography suspected DVT using cutoff point of D-dimer ≥1μg/ml. We excluded age <18 years, ongoing anticoagulant therapy, other thrombosis, protein C deficiency, disseminated intravascular coagulation, central venous catheter, pregnancy and aneurysm. We enrolled 971 patients, we divided into the derivation cohort or the validation cohort. The association of DVT with multiple variables was characterized in a derivation cohort of 651 patients. The score validated in an independent cohort of 322 patients from the same study. We also performed a validation of this model in an independent cohort of patients derived from the same observational study. Results We found 6 clinical and 1 laboratory parameters that predicted DVT in patients before surgery. The prediction rule for DVT assigned 2 points for D-dimer more than 1.44 μg/ml and 1 point for age ≥60 years, female, ongoing steroid, active cancer with high risk of DVT, prolong immobility and antipsychotic drug. In derivation and validation cohorts, area under the curve was 0.73 and 0.70, respectively. New preoperative risk model with these parameters stratified patients into 3 individual categories corresponding to the risk of DVT. Rates of DVT in the derivation and validation cohorts, respectively, were 6% and 7% in low-risk (score 0–2), 22% and 21% in intermediate-risk (score 3–4), and 49% and 47% in high-risk (score ≥5) category. Rates of fresh DVT were 1% and 3% in low-risk, 10% and 9% in intermediate-risk, and 33% and 19% in high-risk category. Conclusion This score stratifies perioperative DVT risk and may detect effectively DVT. The findings should be considered with the further prospective research. FUNDunding Acknowledgement Type of funding sources: None. Rate of DVT

scholarly journals 31. Development a Novel Score (SAD-60) for Predicting Mortality in Hospitalised Patients with COVID-19 Pneumonia: A Multicenter Retrospective Study of 1013 Patients

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S21-S22
Author(s):  
Serkan Surme ◽  
Hatice Kubra Karanalbant ◽  
Gulsah Tuncer ◽  
Osman Bayramlar ◽  
Betul Copur ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Risk Score ◽  
Roc Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Hospital Death ◽  
The Novel ◽  
Operating Characteristics ◽  
Predictive Capacity ◽  
Hospitalised Patients ◽  
D Dimer

Abstract Background We aimed to explore a novel risk score to predict mortality in hospitalised patients with COVID-19 pneumonia. In additoon, we compared the accuracy of the novel risk score with CURB-65, qSOFA and NEWS2 scores. Methods The study was conducted in hospitalised patients with laboratory and radiologically confirmed COVID-19 pneumonia between November 1, 2020 and November 30, 2020. In this retrospective multicenter study. independent predictors were identified using multivariate logistic regression analysis. A receiver operating characteristics (ROC) analysis with area under the curve (AUC) was used to evaluate the performance of the novel score. The optimal cut-off points of the candidate variables were calculated by the Youden’s index of ROC curve. Mortality was defined as all cause in-hospital death. Results A total of 1013 patients with COVID-19 were included. The mean age was 60,5 ±14,4 years, and 581 (57,4%) patients were male. In-hospital death was occured in 124 (12,2%) patients. Multivariate analysis revealed that peripheral capillary oxygen saturation (SpO2), albumin, D-dimer, and age were independent predictors for mortality (Table). A novel scoring model was named as SAD-60 (SpO2, Albumin, D-dimer, ≥60 years old). SAD-60 score (0,776) had the highest AUC compared to CURB-65 (0,753), NEWS2 (0,686), and qSOFA (0,628) scores (Figure). Conclusion We demonstrated that SAD-60 score had a promising predictive capacity for mortality in hospitalised patients with COVID-19. Univariate and multivariate analysis of factors predicting mortality Comparison of CURB-65, qSOFA, NEWS-2 and SAD-60 for predicting pneumonia mortality in hospitalised patients with COVID-19 by ROC analysis Disclosures All Authors: No reported disclosures

scholarly journals Different Diagnostic Performance of Fibrinogen and D-Dimer in Periprosthetic Joint Infection: A Propensity Score Matched Study

2021 ◽  
Author(s):  
Xi Chen ◽  
Wenwei Qian ◽  
Xisheng Weng ◽  
Jin Lin ◽  
Jin Jin ◽  
...  
Keyword(s):  
Propensity Score ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Joint Infection ◽  
Diagnostic Value ◽  
Optimal Threshold ◽  
Operating Characteristics ◽  
The Difference ◽  
Sensitivity Specificity ◽  
D Dimer

Abstract Background: Fibrinogen(Fbg) and D-dimer were introduced as biomarkers for the diagnosis of PJI. However, previous researches have reported controversial outcome on the diagnostic value of D-dimer in comparison to Fbg, CRP and ESR.Aim: This study aims to: 1.Determine the optimal threshold of plasma Fbg and D-dimer in the diagnosis of PJI and compare their diagnostic value to that of CRP and ESR. 2.Investigate if Fbg and D-dimer performs differently than CRP and ESR in different types of PJI.Methods: 115 revision cases after total hip arthroplasty(THA) and total knee arthroplasty(TKA) were identified. 30 PJI cases were matched to 60 Aseptic cases based on demographic characteristics using propensity score matching. Sensitivity, Specificity, Receiver operating characteristics(ROC), Negative predictive value(NPV) and Positive predictive value(PPV) were calculated and compared.Results: The optimal threshold is 1.69 mg/L for D-dimer and 3.655g/L for Fbg. Plasma Fbg, D-dimer, CRP and ESR were significantly higher in the PJI group than the Aseptic group. Fbg, D-dimer, CRP and ESR showed sensitivity of 0.83, 0.67, 0.83 and 0.8 respectively and showed specificity of 0.87, 0.77, 0.92 and 0.82 respectively. ROC curve showed that CRP has the highest AUC(0.90), followed by Fbg(0.89), ESR(0.88) and D-dimer(0.77).Conclusion: Plasma Fbg exhibited similar diagnostic performance comparing to CRP and ESR. Plasma D-dimer is of limited diagnostic value. In our study, Fbg and D-dimer did not show better diagnostic performance in any subtypes of PJI. Further studies are required to investigate the difference between serum D-dimer and plasma D-dimer in arthroplasty population.

Comparison of Rheumatological Diagnoses by a Bayesian Program and by Physicians

1991 ◽  
Vol 30 (03) ◽  
pp. 187-193 ◽  
Author(s):  
H. J. Moens ◽  
J. K. van der Korst
Keyword(s):  
Receiver Operating Characteristics ◽  
Bayesian Decision ◽  
Operating Characteristics ◽  
Likelihood Ratios ◽  
Improve Performance ◽  
Mathematical Basis ◽  
Human Expert ◽  
Test Population ◽  
Sensitivity Specificity ◽  
Diagnostic Outcome

AbstractA Bayesian decision support system was developed for the diagnosis of rheumatic disorders. Knowledge in this system is represented as evidential weights of findings. Simple weights were calculated as the logarithm of likelihood ratios on the basis of 1,000 consecutive patients from a rheumatological clinic. The effect of various methods to improve performance of the system by modification of the weights was studied. Three methods had a mathematical basis; a fourth consisted of weights adapted by a human expert, which allowed inclusion of diagnostic rules such as defined in widely accepted criteria sets. The system’s performance was measured in a test population of 570 different cases from the same clinic and compared with predictions of diagnostic outcome made by rheumatologists. The weights from a human expert gave optimal results (sensitivity 65% and specificity 96%), that were close to the physicians’ predictions (sensitivity 64% and specificity 98%). The methods to measure the performance of the various models used in this study emphasize sensitivity, specificity and the use of receiver operating characteristics.

Prediction of encephalopathy in perinatal asphyxia score: reaching the unreached

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Srinivasa Murthy Doreswamy ◽  
Amulya Ramakrishnegowda
Keyword(s):  
Therapeutic Hypothermia ◽  
Sensitivity And Specificity ◽  
Perinatal Asphyxia ◽  
High Specificity ◽  
Test Sample ◽  
Therapeutic Benefit ◽  
Primary Outcome Measure ◽  
Primary Objective ◽  
Post Test ◽  
Test Probability

Abstract Objectives Neonates who develop moderate to severe encephalopathy following perinatal asphyxia will benefit from therapeutic hypothermia. Current National Institute of Child Health and Human Development (NICHD) criteria for identifying encephalopathic neonates needing therapeutic hypothermia has high specificity. This results in correctly identifying neonates who have already developed moderate to severe encephalopathy but miss out many potential beneficiaries who progress to develop moderate to severe encephalopathy later. The need is therefore not just to diagnose encephalopathy, but to predict development of encephalopathy and extend the therapeutic benefit for all eligible neonates. The primary objective of the study was to develop and validate the statistical model for prediction of moderate to severe encephalopathy following perinatal asphyxia and compare with current NICHD criteria. Methods The study was designed as prospective observational study. It was carried out in a single center Level 3 perinatal unit in India. Neonates>35 weeks of gestation and requiring resuscitation at birth were included. Levels of resuscitation and blood gas lactate were used to determine the pre-test probability, Thompson score between 3 and 5 h of life was used to determine post-test probability of developing encephalopathy. Primary outcome measure: Validation of Prediction of Encephalopathy in Perinatal Asphyxia (PEPA) score by Holdout method. Results A total of 55 babies were included in the study. The PEPA score was validated by Holdout method where the fitted receiver-operating characteristic (ROC) area for the training and test sample were comparable (p=0.758). The sensitivity and specificity of various PEPA scores for prediction of encephalopathy ranged between 74 and 100% in contrast to NICHD criteria which was 42%. PEPA score of 30 had a best combination of sensitivity and specificity of 95 and 89% respectively. Conclusions PEPA score has a higher sensitivity than NICHD criteria for prediction of Encephalopathy in asphyxiated neonates.

scholarly journals A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Susanne F. Awad ◽  
Soha R. Dargham ◽  
Amine A. Toumi ◽  
Elsy M. Dumit ◽  
Katie G. El-Nahas ◽  
...  
Keyword(s):  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Score ◽  
Area Under The Curve ◽  
Diabetes Risk ◽  
Predictive Values ◽  
Predictive Variables ◽  
Comparable Performance ◽  
Representative Random Sample ◽  
Diabetes Risk Score

AbstractWe developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

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