The combination of Caprini risk assessment scale and thrombotic biomarkers to evaluate the risk of venous thromboembolism in critically ill patients

Values of Caprini Risk Assessment Scale and D-Dimer for Predicting Venous Thromboembolism During Puerperium

Purpose

To evaluate the predictive value of the combination of the Caprini risk assessment model (RAM) and D-dimer for venous thromboembolism (VTE) during puerperium.

Patients and Methods

This was a retrospective case-control study. Thirty-one puerperium patients with VTE were included as cases, and 279 puerperium women without VTE were matched to cases according to age, number of fetuses, birth day and delivery mode at the ratio of 9:1. Demographic data, clinical data and laboratory parameters within postpartum 24 h were collected. Multivariate analysis, employing the forward stepwise model, was conducted to identify independent factors associated with VTE during puerperium. The predictive values of Caprini RAM, D-dimer and their combination were evaluated using receiver operating characteristic (ROC) curve, and the area under curve (AUC) was compared using Z test.

Results

Univariate analysis demonstrated that there were significant differences in D-dimer levels, Caprini score, scarred uterus, adherent placenta, postpartum hemorrhage and intrauterine infection between cases and controls (P<0.05). Multivariate analysis demonstrated that D-dimer levels (OR: 1.754, 95% CI: 1.237-3.182), Caprini score (OR: 1.209, 95% CI: 1.058-2.280), scarred uterus (OR: 1.978, 95% CI: 1.258-3.794), postpartum hemorrhage (OR: 2.276, 95% CI: 1.334-4.347) and intrauterine infection (OR: 2.575, 95% CI: 1.463-4.618) were independently associated with VTE during puerperium with adjustment for adherent placenta and fetal birth weight. The AUCs of D-dimer levels, Caprini score and their combination were 0.748 (SE: 0.030, 95% CI: 0.688-0.807), 0.647 (SE: 0.035, 95% CI: 0.578-0.716) and 0.840 (SE: 0.025, 95% CI: 0.791-0.888). Combination prediction had a higher AUC compared with that of independent prediction (0.840 vs 0.748, Z=2.356, P=0.009; 0.840 vs 0.647, Z=4.487, P<0.001) with a sensitivity of 83.9% and specificity of 80.3%.

Conclusion

The combination of the Caprini RAM and D-dimer could significantly elevate the predictive value for VTE during puerperium, and this new tool had the potential in the prediction of VTE during puerperium.

The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome

BACKGROUND

The Caprini Risk Score (CRS) is a validated predictive instrument for venous thrombosis. Previous investigators have shown that a high CRS is associated with a higher risk of mortality from thrombotic diseases.

OBJECTIVE

The aim of this study was to assess the association between the CRS and prognosis of patients with acute coronary syndrome (ACS).

METHODS

Secondary analysis of data from a retrospective cohort study was conducted. Patients were classified into 3 CRS-based categories (CRS ≤ 2, CRS = 3-4, and CRS ≥ 5, indicating low, medium, and high, respectively). Kaplan-Meier curves and Cox regression models were used to assess the prognosis of patients with ACS. All-cause mortality and cardiac mortality were the end points.

RESULTS

Two hundred fifty-four patients (12.8%) died during follow-up. Multivariate Cox regression models identified CRS as an independent risk factor for all-cause mortality among patients with ACS (CRS = 3-4 vs CRS ≤ 2, hazard ratio: 3.268, 95% confidence interval: 1.396-7.647, P = .006; CRS ≥ 5 vs CRS ≤ 2, hazard ratio: 4.099, 95% confidence interval: 1.708-9.841, P = .002). Pearson correlation analysis showed a positive correlation between CRS and fibrinogen level ( r = 0.486, R2 = 0.765, P < .001) as well as D-dimer level ( r = 0.480, R2 = 0.465, P < .001).

CONCLUSION

The CRS is a useful prognostic assessment instrument for patients with ACS, and the risk stratification of patients with ACS can be achieved based on their CRS at admission.

The Thresholds of Caprini Score Associated With Increased Risk of Venous Thromboembolism Across Different Specialties: A Systematic Review

OBJECTIVE

Estimation of the specific thresholds of the Caprini risk score (CRS) that are associated with the increased incidence of venous thromboembolism (VTE) across different specialties, including identifying the highest level of risk.

BACKGROUND

Accurate risk assessment remains an important but often challenging aspect of VTE prophylaxis. One well-established risk assessment model is CRS, which has been validated in thousands of patients from many different medical and surgical specialties.

METHODS

A search of MEDLINE and the Cochrane Library was performed in March 2022. Manuscripts that reported on (1) patients admitted to medical or surgical departments and (2) had their VTE risk assessed by CRS and (3) reported on the correlation between the score and VTE incidence, were included in the analysis.

RESULTS

A total of 4562 references were identified, and the full text of 202 papers was assessed for eligibility. The correlation between CRS and VTE incidence was reported in 68 studies that enrolled 4,207,895 patients. In all specialties, a significant increase in VTE incidence was observed in patients with a CRS of ≥5. In most specialties thresholds of ≥7, ≥9, and ≥11 to 12 were associated with dramatically increased incidences of VTE. In COVID-19, cancer, trauma, vascular, general, head and neck, and thoracic surgery patients with ≥9 and ≥11 to 12 scores the VTE incidence was extremely high (ranging from 13% to 47%).

CONCLUSION

The Caprini score is being used increasingly to predict VTE in many medical and surgical specialties. In most cases, the VTE risk for individual patients increases dramatically at a threshold CRS of 7 to 11.

Investigation and analysis of status of mechanical prevention of venous thrombosis in ICU

AIMS

The presented paper aims at understanding the current situation of mechanical prevention of venous thrombosis in ICU.

DESIGN

A questionnaire survey.

METHODS

A self-developed Questionnaire on the Current Situation of VTE Mechanical Prevention in ICU was distributed.

RESULTS

A total of 125 valid questionnaires were collected. The results shows that only 11.2% ICUs had the ratio of mechanical prevention equipment to the bed number ≥0.8:1; there was significant differences among ICU nurses in different levels of hospitals in mastering the indications, contraindications and use process of venous thromboembolism mechanical prevention; 42 ICUs (33.6%) used disposable leg covers for patients before the use of mechanical prevention equipment. The face-to-face teaching model was the main method adopted in the education and training of mechanical prevention.

Derivation and External Validation of a Risk Assessment Model of Venous Thromboembolism in Hospitalized Chinese Patients

AIM

To develop and validate a risk assessment model (RAM) of venous thromboembolism (VTE) in hospitalized Chinese patients.

METHODS

We reviewed data from 300 patients with VTE and 300 non-VTE patients at Beijing Shijitan Hospital. The risk factors related to VTE were analyzed, and the VTE RAM (Shijitan (SJT) version) was developed according to the weight of each risk factor. A total of 407 patients with VTE and 533 non-VTE patients were enrolled for external validation. The sensitivity, specificity, Youden index, receiver operating curve (ROC), and area under the ROC curve (AUC) were used to evaluate the performance of VTE RAM (SJT version) compared with Caprini RAM and Padua RAM.

RESULTS

The VTE RAM (SJT version) contained six risk factors (age >60 years, lower limb edema, chronic obstructive pulmonary disease (COPD), central venous catheterization (CVC), VTE history, and D dimer). In the external validation group, for medical patients, the AUC value of SJT RAM (0.82 ± 0.03) is significantly higher than Caprini RAM (0.76 ± 0.04; P < 0.05), SJT RAM has a higher sensitivity, specificity, and Youden index than Caprini RAM (P < 0.05), which means that the SJT RAM has a much better predictive value than Caprini RAM. While SJT RAM and Padua RAM have the similar predictive value for medical patients (P > 0.05). For surgical patients, the AUC value of SJT RAM (0.72 ± 0.04) is significantly higher than the value of Padua RAM (0.66 ± 0.04; P < 0.05), SJT RAM has a higher sensitivity, specificity, and Youden index than Padua RAM (P < 0.05), which shows that the VTE RAM has better predictive value than Padua RAM. While SJT RAM and Caprini RAM have the similar predictive value for surgical patients (P > 0.05).

CONCLUSION

The SJT RAM derived from general hospitalized Chinese patients will be time-saving for physicians and has a better predictive ability for patients at risk of VTE.

Prevalence of Venous Thromboembolism in Intensive Care Units: A Meta-Analysis

OBJECTIVE

Venous thromboembolism (VTE) is a life threating complication in intensive care units (ICUs). This study aimed to pool the prevalence of VTE and examined the risk factors of VTE in intensive care patients worldwide.

METHODS

A systematic search in PubMed, EMBASE and Web of Science databases was performed. Studies reported that the data on the prevalence of VTE or relevant information were synthesized using a random-effects model.

RESULTS

A total of 42 studies reporting on 27,344 patients were included. The pooled prevalence of VTE was 10.0% (95% CI: 7.0-14.0%). Subgroup and metaregression analyses found that thromboprophylaxis strategy, simplified acute physiology score (SAPS II), age, study quality, sample size, malignancy, sex, spinal cord injury and injury severity score (ISS) moderated the prevalence of VTE in intensive care patients.

CONCLUSIONS

The present meta-analysis revealed a high prevalence of VTE in critically ill patients. The risk factors of VTE included thromboprophylaxis strategy, SAPS II, age, malignancy, sex, spinal cord injury and ISS. Therefore, we need to pay more attention to high-risk populations of VTE in intensive care patients.

Systematic review of venous thromboembolism risk categories derived from Caprini score

OBJECTIVE

Hospital-acquired venous thromboembolism (VTE, including pulmonary embolism [PE] and deep vein thrombosis [DVT]) is a preventable cause of hospital death. The Caprini risk assessment model (RAM) is one of the most commonly used tools to assess VTE risk. The RAM is operationalized in clinical practice by grouping several risk scores into VTE risk categories that drive decisions on prophylaxis. A correlation between increasing Caprini scores and rising VTE risk is well-established. We assessed whether the increasing VTE risk categories assigned on the basis of recommended score ranges also correlate with increasing VTE risk.

METHODS

We conducted a systematic review of articles that used the Caprini RAM to assign VTE risk categories and that reported corresponding VTE rates. A Medline and EMBASE search retrieved 895 articles, of which 57 fulfilled inclusion criteria.

RESULTS

Forty-eight (84%) of the articles were cohort studies, 7 (12%) were case-control studies, and 2 (4%) were cross-sectional studies. The populations varied from postsurgical to medical patients. There was variability in the number of VTE risk categories assigned by individual studies (6 used 5 risk categories, 37 used 4, 11 used 3, and 3 used 2), and in the cutoff scores defining the risk categories (scores from 0 alone to 0-10 for the low-risk category; from ≥5 to ≥10 for high risk). The VTE rates reported for similar risk categories also varied across studies (0%-12.3% in the low-risk category; 0%-40% for high risk). The Caprini RAM is designed to assess composite VTE risk; however, two studies reported PE or DVT rates alone, and many of the other studies did not specify the types of DVTs analyzed. The Caprini RAM predicts VTE at 30 days after assessment; however, only 17 studies measured outcomes at 30 days; the remaining studies had either shorter or longer follow-ups (0-180 days).

CONCLUSIONS

The usefulness of the Caprini RAM is limited by heterogeneity in its implementation across centers. The score-derived VTE risk categorization has significant variability in the number of risk categories being used, the cutpoints used to define the risk categories, the outcome being measured, and the follow-up duration. This factor leads to similar risk categories being associated with different VTE rates, which impacts the clinical and research implications of the results. To enhance generalizability, there is a need for studies that validate the RAM in a broad population of medical and surgical patients, identify standardized risk categories, define risk of DVT and PE as distinct end points, and measure outcomes at standardized follow-up time points.

Predicting pulmonary embolism among hospitalized patients with machine learning algorithms

Background

Objective

Materials and Methods

Results

Conclusions

Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model

BACKGROUND

Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients and has an adverse impact on patient outcomes. However, there is still a lack of appropriate tools for effectively predicting VTE for trauma patients. We try to verify the accuracy of the Caprini score for predicting VTE in trauma patients, and further improve the prediction through machine learning algorithms.

METHODS

We retrospectively reviewed emergency trauma patients who were admitted to a trauma center in a tertiary hospital from September 2019 to March 2020. The data in the patient's electronic health record (EHR) and the Caprini score were extracted, combined with multiple feature screening methods and the random forest (RF) algorithm to constructs the VTE prediction model, and compares the prediction performance of (1) using only Caprini score; (2) using EHR data to build a machine learning model; (3) using EHR data and Caprini score to build a machine learning model. True Positive Rate (TPR), False Positive Rate (FPR), Area Under Curve (AUC), accuracy, and precision were reported.

RESULTS

The Caprini score shows a good VTE prediction effect on the trauma hospitalized population when the cut-off point is 11 (TPR = 0.667, FPR = 0.227, AUC = 0.773), The best prediction model is LASSO+RF model combined with Caprini Score and other five features extracted from EHR data (TPR = 0.757, FPR = 0.290, AUC = 0.799).

CONCLUSION

The Caprini score has good VTE prediction performance in trauma patients, and the use of machine learning methods can further improve the prediction performance.

Influence of enhanced recovery after surgery (ERAS) on patients receiving lung resection: a retrospective study of 1749 cases

BACKGROUND

The study aimed to evaluate the outcomes following the implementation of enhanced recovery after surgery (ERAS) for patients undergoing lung cancer surgery.

METHOD

A retrospective cohort study involving 1749 patients with lung cancer undergoing pulmonary resection was conducted. The patients were divided into two time period groups for analysis (routine pathway and ERAS pathway). Logistic regression analysis was performed to assess the risks of developing postoperative pulmonary complications.

RESULTS

Among the 1749 patients, 691 were stratified into the ERAS group, and 1058 in to the routine group. The ERAS group presented with shorter postoperative in-hospital length of stay (LOS) (4.0 vs 6.0, P < 0.001), total LOS (10.0 vs. 13.0 days, P < 0.001), and lower total in-hospital costs (P < 0.001), including material (P < 0.001) and drug expenses (P < 0.001). Furthermore, the ERAS group also presented with a lower occurrence of postoperative pulmonary complications (PPCs) than the routine group (15.2% vs. 19.5%, P = 0.022). Likewise, a significantly lower occurrence of pneumonia (8.4% vs. 14.2%, P < 0.001) and atelectasis (5.9% vs. 9.8%, P = 0.004) was found in the ERAS group. Regarding the binary logistic regression, the ERAS intervention was the sole independent factor for the occurrence of PPCs (OR: 0.601, 95% CI 0.434-0.824, P = 0.002). In addition, age (OR: 1.032, 95% CI 1.018-1.046), COPD (OR: 1.792, 95% CI 1.196-2.686), and FEV1 (OR: 0.205, 95% CI 0.125-0.339) were also independent predictors of PPCs.

CONCLUSION

Implementation of an ERAS pathway shows improved postoperative outcomes, including shortened LOS, lower in-hospital costs, and reduced occurrence of PPCs, providing benefits to the postoperative recovery of patients with lung cancer undergoing surgical treatment.

Identification of thrombomodulin as a dynamic monitoring biomarker for deep venous thrombosis evolution

It has been demonstrated that thrombomodulin (TM) serves an important role in the formation of deep venous thrombosis (DVT) and is regarded to be a marker that can be used to measure vascular endothelial cell damage. However, how TM levels change during DVT evolution has not yet been well understood. The current study aimed to investigate the dynamic changes of TM during the evolution of DVT and explore the possible mechanisms behind these. A total of 48 patients newly diagnosed with DVT and 23 matched healthy controls were enrolled in the present study, and their plasma TM levels were examined and compared. In addition, a DVT model was established using Sprague-Dawley rats via the ‘stenosis’ method. The thrombi size, histopathologic changes and expression of TM and NF-κB in plasma and venous endothelium were measured at 9 different time points (1, 4, 6, 12 and 24 h, and at 3, 7, 14 and 21 days). Finally, the effect of inhibiting the activation of NF-κB on TM was investigated using pyrrolidine dithiocarbamate (PDTC), which is a potent inhibitor of the NF-κB pathway. The results of the current study indicated that the mean level of plasma TM in patients with DVT was significantly increased compared with healthy controls. In addition, thrombi size (clot length and weight), TM and NF-κB expression in the animal model plasma exhibited three distinct periods (1-12, 24 h-day 7 and 14-21) of markedly different results between periods. Immunofluorescence results confirmed the co-localization of TM and NF-κB in endothelial cells. In addition, it was indicated that the expression of TM in the endothelium of DVT models was upregulated compared with the control, while NF-κB was significantly downregulated. Following the administration of PDTC, the level of NF-κB and TM in the plasma were decreased significantly dose-dependently. The results of the current study suggested that TM was involved in the evolution of DVT and may be used as a dynamic biomarker to measure disease activity. Furthermore, the expression of TM during the evolution of DVT was indicated to be associated with the NF-κB signaling pathway.

Changes in serum D-dimer level and effect of enoxaparin sodium after a cesarean section: a retrospective study

Background: Pregnancy increases the risk of venous thromboembolism (VTE). During pregnancy and a post-cesarean section, an increase in D-dimer levels can be observed. However, to date, the usefulness of the D-dimer level measurement for thrombosis in pregnant women has not been determined.Objects: We aimed to evaluate the changes in D-dimer levels after a cesarean section, the risk factors of high D-dimer levels, and enoxaparin sodium's preventive effects on VTE.Methods: This retrospective study enrolled 160 pregnant women who underwent a cesarean section. D-dimer levels were measured on postoperative day (POD)1 and POD6. If on POD1, the D-dimer levels were ≥10 µg/mL, enoxaparin sodium was administered until POD7. Regardless of enoxaparin administration, when the D-dimer levels on POD6 were ≥10 µg/mL, lower-limb venous ultrasonography was performed. After a cesarean section, patients were screened for the following: factors causing high D-dimer levels, incidence of deep vein thrombosis (DVT), and need for enoxaparin.Results: The median D-dimer levels on POD1 and POD6 were 7.5 µg/mL (1.1-34.1) and 4.2 µg/mL (0.02-31.4), respectively. Enoxaparin sodium was administered to 56 patients (35%). The D-dimer levels on POD6 decreased more significantly than on POD1. The median D-dimer levels in the enoxaparin administration group significantly dropped from 14.3 (POD1) to 3.9 (POD6) (p<.001). The D-dimer levels on POD1 were higher in patients aged ≥35 years and with a hospitalization history of threatened preterm labor. In addition, on POD6, patients aged ≥35 years and with a high body mass index had high D-levels. Following a multivariate analysis, the elderly represent an independent factor for high D-levels. DVT was not observed.Conclusion: When the D-dimer levels on POD1 after a cesarean section are ≥10 µg/mL, enoxaparin reduces D-dimer levels six days after cesarean section. Moreover, patients aged ≥35 years represent an independent factor for high D-levels. These findings should be validated by further studies.

The cumulative venous thromboembolism incidence and risk factors in intensive care patients receiving the guideline-recommended thromboprophylaxis

Few prospective studies have reported the cumulative incidence of venous thromboembolism (VTE) in the intensive care unit (ICU), especially for patients receiving guideline-recommended VTE prophylaxis. We aimed to design a prospective observational study to investigate the cumulative incidence and risk factors of ICU-acquired VTE for those populations.We prospectively studied 281 consecutively included patients in the ICU at a single center. All patients provided informed consent. Patients received ultrasound evaluation and were followed for VTE before ICU discharge or within 28 days of ICU stay. The type of VTE thromboprophylaxis was also recorded for all patients. Variables from univariate analyses that were associated with VTE were included in the binary logistic regression analysis to determine VTE predictors. The cumulative VTE incidence with 95% confidence interval (CI) was estimated using Kaplan-Meier methods.Patients had a median age of 60 years (range, 18-89) and an acute physiology and chronic health evaluation II score of 17 (range, 4-36). Despite all patients receiving guideline-recommended thromboprophylaxis, the cumulative incidence of VTE at 7, 14, 21, and 28 days was 4.45% (95% CI 2.55-7.71), 7.14% (95% CI 4.61-10.97), 7.53% (95% CI 4.92-11.43), and 9.55% (95% CI 6.55-13.81), respectively. Central venous catheter use (P = .002, odds ratio [OR] = 4.50), Caprini score (P = .012, OR = 1.20), and ICU length of stay (P = .006, OR = 1.08) were independent risk factors related to the incidence of VTE for patients admitted to the ICU.Our prospective observational study found that the 28-day cumulative incidence of VTE was relatively high for patients admitted to the ICU, despite the use of guideline-recommended thromboprophylaxis. Patients with femoral central venous catheter, prolonged ICU length of stay, or a high Caprini score may have an increased risk of developing VTE.