D-dimer Cut-off Value Research Articles

The 3-level Wells score combined with D-dimer can accurately diagnose acute pulmonary embolism in hospitalized patients with acute exacerbation of COPD: A multicentre cohort study

BackgroundIdentification of acute pulmonary embolism (APE) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is challenging. Wells score and Revised Geneva score have been developed to diagnose APE. We aim to investigate the predictive accuracy of two clinical scoring systems combined with D-dimer for APE in patients with AECOPD. MethodsA multicentre cross-sectional study was conducted in 13 China hospitals. A total of 731 patients were enrolled. Computed tomography pulmonary angiography (CTPA) was performed within 48 hours of admission. The performance of the clinical scoring systems was compared by calculating the area under the receiver operating characteristic curves (AUROC), sensitivities, and specificities. Results731 patients were included with an average age of 68.9 years, with a male proportion of 585 (80.0 %). 112 (15.3 %) were diagnosed with APE. The optimal D-dimer cut-off value for identifying APE in AECOPD was 690.12 ng/mL. Analysis for assessing the clinical probability of APE using the 3-level Wells and Revised Geneva scores showed the AUC were 0.74 and 0.60, sensitivity were 61.61 % and 77.68 %, and specificity were 85.46 % and 38.29 %, respectively. Analysis using the 3-level Wells and Revised Geneva scores combined with a D-dimer cut-off value of 690.12 ng/mL showed the AUC were 0.909 and 0.869, sensitivity were 73.21 % and 91.96 %, specificity were 92.08 %and 72.70 %. The performance of the 3-level Wells score with D-dimer was significantly better than the performance of the 3-level Revised Geneva score with D-dimer (P = 0.01). ConclusionsThe 3-level Wells score combined with a D-dimer cut-off value of 690.12 ng/mL performed better than other clinical scoring algorithms for assessing clinical probability of APE in patients with AECOPD.

Investigation the Role of Calcium and Vitamin D3 And Some Biochemical Parameters in Patients with Renal Failure of Renal Failure

Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. D-dimer levels were higher in COVID-19 patients and were related with markers of inflammation, and after treatments, D-dimer levels decreased which was synchronous with hsCRP levels in patients with good clinical prognosis. Also, the low correlation between Padua VTE score and D-dimer levels weakened the role of D-dimer in the prediction of thrombosis.The abnormal changes of D-dimer and inflammatory factors suggest that aggressive anticoagulant therapy might be needed.

Precision in Pulmonary Embolism Diagnosis: Leveraging D-dimer Levels With Computed Tomography Pulmonary Angiography (CTPA) Insights.

Introduction Pulmonary embolism (PE) remains a critical condition requiring timely diagnosis and treatment. The use of D-dimer, a fibrin degradation product, as a biomarker, combined with computed tomography pulmonary angiography (CTPA), is a common practice in diagnosing PE. Aim This study aims to increase diagnostic accuracy for PE by relating the D-dimer levels to the findings on CTPA. Specifically, it aimsto calculate the sensitivity and specificity of D-dimer levels against CTPA results and also establish the association of D-dimer levels with the location of the PE. Methods This retrospective analysis was conducted at a tertiary care hospital, including patients who underwent CTPA and had D-dimer levels recorded over a one-year period. The total sample size was 124. D-dimer levels were categorized into four groups based on CTPA findings: Category 0 (no PE), Category I (peripheral PE), Category II (PE in lobar arteries), and Category III (central embolisms in the pulmonary trunk or arteries). Statistical analyses were performed to evaluate the correlation between D-dimer levels and CTPA findings, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results The study found that Category 0 (no PE) had an average D-dimer of 3.6 mg/L, Category I (peripheral PE) had 4.3 mg/L, Category II (PE in lobar arteries) had 3.6 mg/L, and Category III (central embolisms) had 7.1 mg/L. The sensitivity of D-dimer in predicting PE was 1.0, and the specificity was 0.2. The PPVwas 0.3208, and the NPVwas 1.0. These findings indicate a significant correlation between elevated D-dimer levels and the presence of PE. Conclusion Integrating D-dimer levels with CTPA findings can improve diagnostic accuracy and efficiency for PE. Establishing reliable D-dimer cutoff values may help clinicians better stratify patient risk and make informed decisions about the need for imaging, thereby optimizing resource utilization and minimizing unnecessary CTPA scans. This study highlights the potential benefits of combining biomarker analysis with imaging results in the clinical management of PE.

D-dimer cut-off value for predicting venous thromboembolism at the initial diagnosis in Japanese patients with advanced lung cancer.

Cancer is a well-known risk factor for venous thromboembolism. The D-dimer level is used to predict venous thromboembolism; however, reports on an appropriate D-dimer cut-off value in Japanese patients with advanced lung cancer are lacking. Therefore, this study aimed to calculate the D-dimer cut-off value for venous thromboembolism at the time of lung cancer diagnosis. The Rising-venous thromboembolism/NEJ037 study was a multicenter, prospective observational study. Patients with lung cancer who were contraindicated for radical resection or radiation were enrolled and followed up for 2years. In the present study (jRCT no. 061180025), a receiver operating characteristic curve for D-dimer levels was created using the dataset of the Rising-venous thromboembolism/NEJ037 study. The Rising-venous thromboembolism/NEJ037 study included a total of 1008 patients, of whom 976, whose D-dimer levels had been measured at the time of cancer diagnosis, were included in the present study. At the time of lung cancer diagnosis, 62 (6.3%) and 914 (93.7%) patients presented with and without venous thromboembolism, respectively. The D-dimer values ranged from 0.1 to 180.1μg/ml and from 0.1 to 257.2μg/ml in patients with and without venous thromboembolism, respectively. The receiver operating characteristic curve was discriminative with a cut-off value of 3.3μg/ml and an area under the curve of 0.794 (sensitivity, 0.742; specificity, 0.782; 95% confidence interval, 0.725-0.863). This is the first study to calculate the D-dimer cut-off value in Japanese patients with advanced lung cancer. Patients with D-dimer levels ≥3.3μg/ml at the time of initial diagnosis may have coexisting venous thromboembolism.

Optimizing resource allocation: Cost-effectiveness of specified D-dimer cut-offs in cancer patients with suspected venous thromboembolism

An accurate diagnosis of venous thromboembolism (VTE) is crucial, given the potential for high mortality in undetected cases. Strategic D-dimer testing may aid in identifying low-risk patients, preventing overdiagnosis and reducing imaging costs. We conducted a retrospective, comparative analysis to assess the potential cost savings that could be achieved by adopting different approaches to determine the most effective D-dimer cut-off value in cancer patients with suspected VTE, compared to the commonly used rule-out cut-off level of 0.5 mg/L. The study included 526 patients (median age 65, IQR 55–75) with a confirmed cancer diagnosis who underwent D-dimer testing. Among these patients, the VTE prevalence was 29% (n = 152). Each diagnostic strategy's sensitivity, specificity, negative likelihood ratio (NLR), as well as positive likelihood ratio (PLR), and the proportion of patients exhibiting a negative D-dimer test result, were calculated. The diagnostic strategy that demonstrated the best balance between specificity, sensitivity, NLR, and PLR, utilized an inverse age-specific cut-off level for D-dimer [0.5 + (66-age) × 0.01 mg/L]. This method yielded a PLR of 2.9 at a very low NLR for the exclusion of VTE. We observed a significant cost reduction of 4.6% and 1.0% for PE and DVT, respectively. The utilization of an age-adjusted cut-off [patient’s age × 0.01 mg/L] resulted in the highest cost savings, reaching 8.1% for PE and 3.4% for DVT. Using specified D-dimer cut-offs in the diagnosis of VTE could improve economics, considering the limited occurrence of confirmed cases among patients with suspected VTE.Graphical In the context of accurate diagnosis of VTE, strategic D-dimer testing helps identify low-risk patients, preventing overdiagnosis and reducing imaging costs. In our retrospective study, the diagnostic strategy that demonstrated the best balance between specificity, sensitivity, and best PLR, utilized an inverse age-specific cut-off level for D-dimer. We observed a significant cost reduction of 4.6% for PE and 1% for DVT. Abbreviations: CTPA, computed tomography pulmonary angiography; CUS, compression ultrasound; DVT, deep vein thrombosis; PE, pulmonary embolism; VTE, venous thromboembolism.

D-dimer cut-off value for pulmonary embolism diagnosis in COVID-19.

D-dimer cut-off value for pulmonary embolism diagnosis in COVID-19.

Pulmonary Thrombotic Complication of Mycoplasma pneumoniae Pneumonia in Chinese Children: Clinical Feature and Risk Factor Analysis.

Thrombotic disease is a rare but severe complication of Mycoplasma pneumoniae pneumonia in children, with pulmonary thrombosis (PT) being the most frequent type. This study aims to describe the clinical features of pediatric severe Mycoplasma pneumoniae pneumonia (SMPP) patients with PT, and to identify risk factors predictive of PT development in this population. We retrospectively enrolled 60 children with SMPP complicated by PT who were admitted to Children's Hospital Affiliated to Zhengzhou University from January 2019 to October 2023. We reviewed their demographic data, laboratory tests and imaging examinations to describe their clinical features. We used multivariate logistic regression analysis to identify significant risk factors for PT in SMPP. The PT group exhibited higher incidences of chest pain, hemoptysis, inflammation and elevated D-dimer levels, as well as more severe pulmonary damage and transaminitis complication, compared to the non-PT group. The left pulmonary artery was the predominant location of PT in SMPP children. A multivariate analysis revealed that C-reactive protein (CRP) and D-dimer were significant predictors of PT in SMPP patients, with odds ratios of 1.10 and 3.37, respectively. The optimal cutoff values of CRP and D-dimer for predicting PT in SMPP were 76.73 mg/L and 3.98 µg/mL, respectively. In SMPP, CRP >76.73 mg/L and D-dimer >3.98 µg/mL are independent predictors of PT. These findings suggest that SMPP-induced excessive inflammation may contribute to PT pathogenesis. Early and intensive anticoagulant, anti-inflammatory and antimycoplasma therapy may improve the disease course and prognosis.

Early prediction for massive fresh frozen plasma transfusion based on fibrinogen/fibrin degradation products and D-dimer in patients with blunt trauma: a single-center, retrospective cohort study.

This study aimed to examine the association of fibrinogen/fibrin degradation product (FDP) values in comparison with D-dimer and fibrinogen (Fib) values and the need for massive fresh frozen plasma (FFP) transfusion in patients with blunt trauma. This retrospective study included patients with blunt trauma aged ≥ 18years who were transported directly to the tertiary care hospital between April, 2012, and March, 2021. Massive FFP transfusion was defined as a composite outcome of at least 10 units of FFP or death for any cause except for cerebral herniation, within 24h after hospital arrival. We evaluated the diagnostic accuracy of predicting the need for massive FFP transfusions using FDP, D-dimer, and Fib levels at the time of hospital arrival. A total of 2160 patients were eligible for the analysis, of which 167 fulfilled the criteria for the composite outcome. The area under the curve and 95% confidence interval for FDP, D-dimer, and Fib levels were 0.886 (0.865-0.906), 0.885 (0.865-0.906), and 0.771 (0.731-0.810), respectively. When the cutoff values of FDP and D-dimer were set at 90μg/mL and 45μg/mL, the sensitivity values were 77% and 78%, the positive predictive values were 28% and 27%, and the negative predictive values were both 98%, respectively. In contrast, the sensitivity of Fib was low regardless of the cutoff value. FDP and D-dimer levels at the time of hospital arrival showed a higher predictive accuracy for the need for massive FFP transfusion than Fib.

Distinct age-adjusted D-dimer threshold to rule out acute pulmonary embolism in outpatients and inpatients.

The diagnosis of acute pulmonary embolism (PE) is combinations of clinical probability assessments, plasma D-dimer (DD) test results, and/or computed tomographic pulmonary angiography (CTPA). The aim of this study is to explore the appropriate DD cutoff using the immunoturbidimetric method in outpatients and inpatients. We retrospectively enrolled 2689 patients with suspected PE between January 2014 and December 2019. All patients underwent clinical probability assessments, DD tests, and CTPA. We investigated the appropriate cutoff level for plasma DD tests in the correlation analysis and receiver operating characteristic (ROC) curves. Among all patients, 1263 were confirmed acute PE. The age-adjusted DD level was determined to be age × 10μg/L (for patients aged >50 years) in outpatients. This cutoff value resulted in a sensitivity of 96.75% and a specificity of 87.02%, with the area under the curve (AUC) of 0.908 and the number needed to treat (NNT) of 1.18. For inpatients, the age-adjusted cutoff values for the biomarker DD demonstrated poor specificity (13.34%) and NNT (9.88). However, when the DD cutoff was adjusted to 2 × the upper limit of normal (ULN), the sensitivity increased to 93.19%, while the specificity remained at 29.55%, with the AUC of 0.610 and the NNT of 4.76. The optimal DD cut-off value was 3010 μg/L (about 5 × ULN), resulting in a sensitivity of 75.22% and specificity of 61.72%, with the AUC of 0.727 and the NNT of 2.7. Using the immunoturbidimetric method to measure DD, an age-adjusted DD cutoff (age × 10μg/L, if aged >50 years) should be considered for outpatients with suspected PE. For inpatients, increasing the DD cutoff value to at least 2 × ULN yields the best test performance.

Utility of plasma D-dimer for diagnosis of venous thromboembolism after hepatectomy.

Venous thromboembolism (VTE) is a potentially fatal complication of hepatectomy. The use of postoperative prophylactic anticoagulation in patients who have undergone hepatectomy is controversial because of the risk of postoperative bleeding. Therefore, we hypothesized that monitoring plasma D-dimer could be useful in the early diagnosis of VTE after hepatectomy. To evaluate the utility of monitoring plasma D-dimer levels in the early diagnosis of VTE after hepatectomy. The medical records of patients who underwent hepatectomy at our institution between January 2017 and December 2020 were retrospectively analyzed. Patients were divided into two groups according to whether or not they developed VTE after hepatectomy, as diagnosed by contrast-enhanced computed tomography and/or ultrasonography of the lower extremities. Clinicopathological factors, including demographic data and perioperative D-dimer values, were compared between the two groups. Receiver operating characteristic curve analysis was performed to determine the D-dimer cutoff value. Univariate and multivariate analyses were performed using logistic regression analysis to identify significant predictors. In total, 234 patients who underwent hepatectomy were, of whom (5.6%) were diagnosed with VTE following hepatectomy. A comparison between the two groups showed significant differences in operative time (529 vs 403 min, P = 0.0274) and blood loss (530 vs 138 mL, P = 0.0067). The D-dimer levels on postoperative days (POD) 1, 3, 5, 7 were significantly higher in the VTE group than in the non-VTE group. In the multivariate analysis, intraoperative blood loss of > 275 mL [odds ratio (OR) = 5.32, 95% confidence interval (CI): 1.05-27.0, P = 0.044] and plasma D-dimer levels on POD 5 ≥ 21 μg/mL (OR = 10.1, 95%CI: 2.04-50.1, P = 0.0046) were independent risk factors for VTE after hepatectomy. Monitoring of plasma D-dimer levels after hepatectomy is useful for early diagnosis of VTE and may avoid routine prophylactic anticoagulation in the postoperative period.

Incidence and risk factors of perioperative deep vein thrombosis in patients undergoing primary hip arthroplasty via the direct anterior approach.

Deep vein thrombosis (DVT) is a frequent complication following hip arthroplasty. There still has been a lack of studies analyzing the perioperative risk factors of DVT following hip arthroplasty via direct anterior approach (DAA). Patients who underwent unilateral primary hip arthroplasty via DAA in our hospital from August 2015 to January 2022 were included. Patients' data, including demographic data, clinical features, past medical history, operative data, and laboratory data, were analyzed and compared between patients with and without DVT. Logistic regression analysis was conducted to identify the independent risk factors. Receiver operating characteristic (ROC) curve analysis was used to assessthebest cutoff value of continuous variables with statistical significance. A total of 651 patients were included. The incidence of DVT before and after hip arthroplasty was 12.7% and 6.7%, respectively. Logistic regression analysis indicated that age ≥ 65years (OR 4.594, 95% CI 1.994-10.587), women (OR 2.331, 95% CI 1.285-4.227), and cerebral infarction (OR 1.984, 95% CI 1.138-3.460) were independent risk factors for preoperative DVT. And age ≥ 65years (OR 4.859, 95% CI 1.062-22.226), tumor (OR 3.622, 95% CI 1.108-11.841), and preoperative D-dimer (OR 1.040, 95% CI 1.004-1.078) were risk factors for postoperative DVT. The ROC curve analysis showed that the best cutoff value of preoperative D-dimer for the diagnosis of postoperative DVT is 1.44mg/L. The incidence of DVT in patients undergoing DAA hip arthroplasty was low and the occurrence of DVT before and after unilateral primary hip arthroplasty performed through DAA was related to multiple factors.

Stroke Prognosis: The Impact of Combined Thrombotic, Lipid, and Inflammatory Markers.

D-dimer, lipoprotein (a) (Lp(a)), and high-sensitivity C-reactive protein (hs-CRP) are known predictors of vascular events; however, their impact on the stroke prognosis is unclear. This study used data from the Third China National Stroke Registry (CNSR-III) to assess their combined effect on functional disability and mortality after acute ischemic stroke (AIS). In total, 9,450 adult patients with AIS were enrolled between August 2015 and March 2018. Patients were categorized based on a cutoff value for D-dimer, Lp(a), and hs-CRP in the plasma. Adverse outcomes included poor functional outcomes (modified Rankin Scale (mRS score ≥ 3)) and one- year all-cause mortality. Logistic and multivariate Cox regression analyses were performed to investigate the relationship between individual and combined biomarkers and adverse outcomes. Patients with elevated levels of all three biomarkers had the highest odds of functional disability (OR adjusted: 2.01; 95% CI (1.47-2.74); P＜0.001) and mortality (HR adjusted: 2.93; 95% CI (1.55-5.33); P＜0.001). The combined biomarkers improved the predictive accuracy for disability (C-statistic 0.80 vs.0.79, P＜0.001) and mortality (C-statistic 0.79 vs.0.78, P=0.01). Elevated D-dimer, Lp(a), and hs-CRP levels together increase the risk of functional disability and mortality one-year post-AIS more than any single biomarker.

An optimized D-dimer cut-off value to predict pulmonary thromboembolism in COVID-19 patients.

Pulmonary thromboembolism (PTE) is a common complication in coronavirus disease 2019 (COVID-19) patients. Elevated D-dimer levels are observed even in the absence of PTE, reducing its discriminative ability as a screening test. It is unknown whether conventional D-dimer cut-off values, as used in the YEARS algorithm, apply to COVID-19 patients. This study aimed to determine the optimal D-dimer cut-off value to predict PTE in COVID-19 patients. All confirmed COVID-19 patients with a computed tomography pulmonary angiography (CTPA) performed ≤5 days after admission due to suspicion of PTE between March 2020 and February 2021, at Medisch Spectrum Twente, The Netherlands, were retrospectively analyzed. The association between PTE and D-dimer levels prior to CTPA, and other potential predictors, was analyzed using logistic regression analyses. The optimal cut-off value was identified using receiver operating characteristic (ROC) curve analyses. In 142 patients, PTE prevalence was 20.4%. The optimal cut-off value was 750 ng/mL (sensitivity 100%; specificity 19.5%; negative predictive value 100%; positive predictive value 24.2%). In total, 15 of 113 (13%) patients without PTE had a D-dimer level ≥500 and <750 ng/mL. In our population of patients hospitalized with COVID-19, a D-dimer level <750 ng/mL safely excluded PTE. Compared to the YEARS 500 ng/mL cut-off value, 13% fewer patients are in need of a CTPA, with similar sensitivity. Future research is required for external validation.

The use of d-dimer in the diagnosis and risk assessment of intracardiac thrombus among patients with dilated cardiomyopathy

d-dimer is a biomarker of coagulation and fibrinolytic system activation in response to the body's hypercoagulable state. The study aims to investigate the usefulness of d-dimer in diagnosing and assessing the risk of intracardiac thrombus in patients with dilated cardiomyopathy (DCM). Consecutively enrolled in this study were patients with DCM who were admitted to our center for the first time. The diagnostic value was evaluated using the receiver operating characteristic (ROC) curve. Additionally, we used univariate and multivariate logistic regression to investigate the association between d-dimer and intracardiac thrombus. We also performed smooth curve fitting, threshold saturation effect analysis, and subgroup analysis. In total, 534 patients were enrolled in the study, and among them, 65 patients had intracardiac thrombus. Mural thrombus was the predominant type of thrombus, which was mainly located in the left ventricular apex. The optimal cut-off value of d-dimer for the diagnosis of intracardiac thrombus was 484 ng/mL, with a sensitivity and specificity of 0.769 and 0.646, respectively. In both unadjusted and adjusted logistic regression models, a positive association was found between d-dimer and intracardiac thrombus. Curve fitting and threshold effect analysis revealed two inflection points in the relationship between d-dimer and intracardiac thrombus (non-linear test: P = 0.032). When d-dimer was equal to 362 ng/mL, the odds ratio (OR) was 1, and the risk of thrombus gradually increased until it reached 4096 ng/mL, after which the trend no longer increased. Within this range, a twofold increase in d-dimer was associated with a 103.2% increased risk (OR = 2.032; 95% CI 1.293–3.193; P < 0.01). In the subgroup analysis, there was a significant interaction between d-dimer and BMI on intracardiac thrombus (P value for interaction was 0.013), and the risk was higher in patients with a BMI ≥ 25 kg/m2 (OR = 3.44; 95% CI 1.86–6.36; P < 0.01).

Reporting age-adjusted D-dimer cut-off values reduces radiology overuse in emergency department patients with suspected deep venous thrombosis

IntroductionVenous thromboembolism (VTE) is a leading cause of death, associated with substantial morbidity in the absence of treatment. Our aim was, first, to compare the diagnostic performance of D-dimer for the diagnosis of VTE in the emergency department (ED), when reporting conventional cut-off point versus when additionally reporting age-adjusted values. Second, we explored the ordering pattern of Doppler ultrasound (US) and computerized tomographic pulmonary angiogram (CTPA), before and after reporting of the aforementioned age-adjusted cut-off value. Materials and methodsWe conducted a cross-sectional study to compare the diagnostic performance of D-dimer as a screening for VTE when reporting the conventional cut-off value versus when additionally including the age-adjusted metrics, and a quasi-experimental study to explore the ordering of Doppler US and CTPA before the age-specific metrics were shared in the report in ED patients between 50 and 100 years-old with D-dimer ordering. ResultsThe cross-sectional study included 392 patients, 25 with VTE. The specificity using an age-adjusted cut-off value was significantly higher (0.51) compared to a single absolute cut-off (0.42), and the negative likelihood ratio was lower as well (0.08 vs. 0.19), but again not statistically significant. In the quasi-experimental study, there was a decrease in the rate of use of both CTPA and Doppler US (P < 0.05). ConclusionThe intervention improved the use of the D-dimer result in the ED and helped improve the request for imaging tests.

A study of modified Wells score for pulmonary embolism and age-adjusted D-dimer values in patients at risk for deep venous thrombosis.

Pulmonary embolism (PE) is the most severe complication of deep venous thrombosis (DVT). This study was designed to evaluate the usefulness of modified Wells score combined with age-adjusted D-dimer cut-off levels as a clinical pre-test probability assessment for predicting PE in patients 'at risk for DVT.' This was a cross-sectional study including 200 in-patients at risk for DVT. Patients were categorized as 'pulmonary embolism unlikely' or 'pulmonary embolism likely' using modified Wells score and underwent D-dimer testing. PE was considered excluded in patients classified as unlikely with normal D-dimer levels, whereas the rest of the patients underwent computed tomography pulmonary angiogram (CTPA). Out of 200 patients, 163 patients (81.50%) were 'pulmonary embolism unlikely,' whereas 37 patients (18.50%) were 'pulmonary embolism likely.' Of 163 patients categorized as 'pulmonary embolism unlikely,' 67 patients (41.5%) had normal D-dimer values and were excluded from CTPA. PE was detected in 24.2% of the patients who underwent CTPA. The combined strategy using modified Wells score and age-adjusted D-dimer cut-off value has 100% sensitivity and a negative predictive value and can be used to safely exclude PE in in-patients.

Correlation between the serum level of ferritin and D-dimer and the severity of COVID-19 infection

BackgroundMany laboratory biomarkers were used for diagnosis of COVID-19 infection; however, their accuracy to assess the severity and prognosis are still to be evaluated. This study aims to correlate between the serum ferritin and D-dimer levels and the severity of COVID-19 infection and its outcome.ResultsRetrospective data retrieval of 150 confirmed COVID-19 infection patients admitted in Ain Shams University Specialized Hospital El Obour during period between April and July 2020 were studied. Ninety-six were survivors and 54 were non-survivors. The number of co-morbidities, the level of D-dimer and serum ferritin were correlated with ICU admission, need for mechanical ventilation and mortality with P value < 0.0001. Serum ferritin and D-dimer levels were significantly correlated with degree of HRCT chest severity with P value < 0.0001. The cut-off value of D-dimer for mortality was 700 ng/ml (sensitivity 83.33%, specificity 59.38%), and that for serum ferritin was 300 ng/ml (sensitivity 88.89%, specificity 58.33%), cut-off value of D-dimer for ICU admission was 863 ng/ml and that for serum ferritin was 300 ng/ml, cut-off value of D-dimer for mechanical ventilation was 700 ng/ml, and that for serum ferritin was 600 ng/ml.ConclusionD-dimer and serum ferritin are important biomarkers in predicting the mortality, ICU admission and need for mechanical ventilation in COVID-19 subjects. Thus helps in early detection of risk of progression and improving outcome. The current study also provides probable cut-off values for both biomarkers above which mortality, ICU admission, and mechanical ventilation need can be expected.Trial registrationClinicalTrials.gov ID: NCT0567281. Retrospectively registered. 4th January 2023.https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S000CT6C&selectaction=Edit&uid=U00056R5&ts=2&cx=-tlu9xu.

PECSS: Pulmonary Embolism Comprehensive Screening Score to safely rule out pulmonary embolism among suspected patients presenting to emergency department

BackgroundPulmonary embolism is a severe cardiovascular disease and can be life-threatening if left untreated. However, the detection rate of pulmonary embolism using existing pretest probability scores remained relatively low and clinical rule out often relied on excessive use of computed tomographic pulmonary angiography.MethodsWe retrospectively collected data from pulmonary embolism suspected patients in Zhongshan Hospital from July 2018 to October 2022. Pulmonary embolism diagnosis and severity grades were confirmed by computed tomographic pulmonary angiography. Patients were randomly divided into derivation and validation set. To construct the Pulmonary Embolism Comprehensive Screening Score (PECSS), we first screened for candidate clinical predictors using univariate logistic regression models. These predictors were then included in a searching algorithm with indicators of Wells score, where a series of points were assigned to each predictor. Optimal D-Dimer cutoff values were investigated and incorporated with PECSS to rule out pulmonary embolism.ResultsIn addition to Wells score, PECSS identified seven clinical predictors (anhelation, abnormal blood pressure, in critical condition when admitted, age > 65 years and high levels of pro-BNP, CRP and UA,) strongly associated with pulmonary embolism. Patients can be safely ruled out of pulmonary embolism if PECSS ≤ 4, or if 4 < PECSS ≤ 6 and D-Dimer ≤ 2.5 mg/L. Comparing with Wells approach, PECSS achieved lower failure rates across all pulmonary embolism severity grades. These findings were validated in the held-out validation set.ConclusionsCompared to Wells score, PECSS approaches achieved lower failure rates and better compromise between sensitivity and specificity. Calculation of PECSS is easy and all predictors are readily available upon emergency department admission, making it widely applicable in clinical settings.Trail registrationThe study was retrospectively registered (No. CJ0647) and approved by Human Genetic Resources in China in April 2022. Ethical approval was received from the Medical Ethics Committee of Zhongshan Hospital (NO.B2021-839R).

Incidence and risk factors of admission deep venous thrombosis in nonagenarians and centenarians with intertrochanteric fracture: a retrospective study

PurposeThe objective of this study was to identify the risk factors for admission deep venous thrombosis (aDVT) and proximal aDVT in nonagenarians and centenarians with intertrochanteric fracture (IF).MethodsWe collected statistics on nonagenarians and centenarians with IF admitting from January 2010 to October 2022. Patients with aDVT were considered as the aDVT group and those without aDVT as the non-aDVT group. Additionally, we also conducted a subgroup analysis based on the location of aDVT to investigate the predictors of proximal aDVT. The demographics, comorbidities and admission laboratory examinations of patients were computed by univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis.ResultsIn our study, the rate of aDVT (109 of 318) was 34.3%, and 5.7% (18 of 318) of patients had proximal aDVT. Logistic regression analysis showed that female patients and a high level of D-dimer were risk factors for aDVT. Similarly, hypoproteinemia and a high level of D-dimer were found to be risk factors for proximal aDVT. ROC curve analysis indicated the cut-off values of D-dimer to predict the aDVT and proximal aDVT were 1.28 mg/L and 1.485 mg/L, respectively.ConclusionsOur findings investigated the risk factors of aDVT and proximal aDVT in nonagenarians and centenarians with IF and identified the cut-off values of D-dimer, helping us assess the risk of aDVT and proximal aDVT to manage early targeted interventions.Level of evidence III.

Optimal D-Dimer Cutoff Values for Diagnosing Deep Vein Thrombosis in Patients with Comorbid Malignancies

Patients with malignancy are at high risk of venous thromboembolism, and early diagnosis is important. The Khorana score is known as a risk assessment for cancer-related thrombosis during chemotherapy, but there are still few reports on its diagnostic potential, the optimal D-dimer cutoff values for indications other than chemotherapy and the use of the Khorana score in combination with D-dimers. In this study, we examined the clinical appropriateness of increasing the D-dimer cutoff value. We retrospectively studied 208 malignancies out of 556 patients who underwent lower extremity venous ultrasonography at our hospital over a 2-year period from January 2018 to December 2019. The optimal D-dimer cutoff value for predicting deep vein thrombosis (DVT) in patients with malignancy was calculated by the Youden index. The usefulness of the Khorana score alone and the model combining the Khorana score with D-dimer for predicting DVT diagnosis was compared using receiver operating characteristic analysis. Of 208 eligible patients, 59 (28.4%) had confirmed DVT. The optimal D-dimer cutoff value for predicting DVT comorbidity in patients with malignancy was 3.96μg/mL. When the new D-dimer cutoff value was set at 4.0μg/mL, the odds ratio (OR) for DVT diagnosis was 4.23 (95% confidence interval (CI) 2.10-8.55, P<0.001), which was higher than the OR of 1.33 (95% CI: 0.98-1.81, P=0.064) for the Khorana score. The area under the curve for the Khorana score and D-dimer was 0.714, which was significantly higher than the 0.611 for the Khorana score alone, with the difference being significantly higher at 0.103 (P=0.004, 95% CI: 0.033-0.173). The optimal D-dimer cutoff value for the diagnosis of DVT in patients with malignancy was 4.0μg/mL. It was also suggested that the combination of the Khorana score with the D-dimer level was more accurate in diagnosing DVT than the Khorana score alone.