Screening Guidelines for Venous Thromboembolism Risk in Hospitalized Children Have Low Sensitivity for Central Venous Catheter-Associated Thrombosis

Ultrasonographic Findings of Catheter-Related Bloodstream Infection in Pediatric Patients

BACKGROUND

Catheter removal is essential for treating catheter-related bloodstream infection (CRBSI); however, clinicians are sometimes hesitant to remove catheters in pediatric patients due to the difficulty of securing vascular access. Confirming the diagnosis of CRBSI is important to justify catheter removal. The purpose of this study was to describe the sonographic findings of CRBSI.

MATERIALS AND METHODS

We included patients with a central venous catheter (CVC) or peripherally inserted central catheter (PICC) who had a positive blood culture and underwent ultrasound. The patients were classified as with or without CRBSI. Sonographic findings, such as the presence/absence of thrombus, venous wall thickening, hyperechogenicity, and fluid collection around the vein were compared using Fisher's exact test.

RESULTS

Of the 58 patients, 38 (66%) were diagnosed with CRBSI. The presence of thrombus (19/38 vs 3/20, P = .011); and hyperechogenicity around the vein (14/38 vs 2/20, P = .035) differed significantly, but There was no significant difference in the presence of venous wall thickening (10/38 vs 1/20, P = .077), and fluid collection around the vein (5/38 vs 0/20, P = .153), did not differ significantly in patients with and without CRBSI, respectively. One-third of patients with CRBSI, including 11 (42.3%) patients with CVC, and 2 (16.7%) patients with PICC, did not have abnormal sonographic findings.

CONCLUSION

Ultrasound findings are useful for diagnosing CRBSI. However, the sensitivity of sonographic findings is low and abnormal sonographic findings are sometimes absent in children with CRBSI; therefore, physicians should not rule out CRBSI based on normal sonographic findings, especially in patients a CVC and a positive blood culture.

Risk factors for central venous catheter-associated deep venous thrombosis in pediatric critical care settings identified by fusion model

Background

An increase in the incidence of central venous catheter (CVC)-related thrombosis (CRT) has been reported in pediatric intensive care patients over the past decade. Risk factors for the development of CRT are not well understood, especially in children. The study objective was to identify potential clinical risk factors associated with CRT with novel fusion machine learning models.

Methods

Patients aged 0–18 who were admitted to intensive care units from December 2015 to December 2018 and underwent at least one CVC placement were included. Two fusion model approaches (stacking and blending) were used to build a better performance model based on three widely used machine learning models (logistic regression, random forest and gradient boosting decision tree). High-impact risk factors were identified based on their contribution in both fusion artificial intelligence models.

Results

A total of 478 factors of 3871 patients and 3927 lines were used to build fusion models, one of which achieved quite satisfactory performance (AUC = 0.82, recall = 0.85, accuracy = 0.65) in 5-fold cross validation. A total of 11 risk factors were identified based on their independent contributions to the two fusion models. Some risk factors, such as D-dimer, thrombin time, blood acid-base balance-related factors, dehydrating agents, lymphocytes and basophils were identified or confirmed to play an important role in CRT in children.

Conclusions

The fusion model, which achieves better performance in CRT prediction, can better understand the risk factors for CRT and provide potential biomarkers and measures for thromboprophylaxis in pediatric intensive care settings.

Supplementary information

The online version contains supplementary material available at 10.1186/s12959-022-00378-y.

Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings

BACKGROUND

An increase in the incidence of central venous catheter (CVC)-associated deep venous thrombosis (CADVT) has been reported in pediatric patients over the past decade. At the same time, current screening guidelines for venous thromboembolism risk have low sensitivity for CADVT in hospitalized children. This study utilized a multimodal deep learning model to predict CADVT before it occurs.

METHODS

Children who were admitted to intensive care units (ICUs) between December 2015 and December 2018 and with CVC placement at least 3 days were included. The variables analyzed included demographic characteristics, clinical conditions, laboratory test results, vital signs and medications. A multimodal deep learning (MMDL) model that can handle temporal data using long short-term memory (LSTM) and gated recurrent units (GRUs) was proposed for this prediction task. Four benchmark machine learning models, logistic regression (LR), random forest (RF), gradient boosting decision tree (GBDT) and a published cutting edge MMDL, were used to compare and evaluate the models with a fivefold cross-validation approach. Accuracy, recall, area under the ROC curve (AUC), and average precision (AP) were used to evaluate the discrimination of each model at three time points (24 h, 48 h and 72 h) before CADVT occurred. Brier score and Spiegelhalter's z test were used measure the calibration of these prediction models.

RESULTS

A total of 1830 patients were included in this study, and approximately 15% developed CADVT. In the CADVT prediction task, the model proposed in this paper significantly outperforms both traditional machine learning models and existing multimodal deep learning models at all 3 time points. It achieved 77% accuracy and 90% recall at 24 h before CADVT was discovered. It can be used to accurately predict the occurrence of CADVT 72 h in advance with an accuracy of greater than 75%, a recall of more than 87%, and an AUC value of 0.82.

CONCLUSION

In this study, a machine learning method was successfully established to predict CADVT in advance. These findings demonstrate that artificial intelligence (AI) could provide measures for thromboprophylaxis in a pediatric intensive care setting.

Aligning Patient Safety and Stewardship: A Harm Reduction Strategy for Children

Purpose of review

Review important patient safety and stewardship concepts and use clinical examples to describe how they align to improve patient outcomes and reduce harm for children.

Recent findings

Current evidence indicates that healthcare overuse is substantial. Unnecessary care leads to avoidable adverse events, anxiety and distress, and financial toxicity. Increases in antimicrobial resistance, venous thromboembolism, radiation exposure, and healthcare costs are examples of patient harm associated with a lack of stewardship. Studies indicate that many tools can increase standardization of care, improve resource utilization, and enhance safety culture to better align safety and stewardship.

Summary

The principles of stewardship and parsimonious care can improve patient safety for children.

Venous Thromboembolism among Noncritically Ill Hospitalized Children: Key Considerations for the Pediatric Hospital Medicine Specialist

Venous thromboembolism (VTE) is a leading cause of morbidity and preventable harm among noncritically ill hospitalized children. Several clinical factors relevant to the noncritically ill hospitalized child significantly increase the risk of VTE including the presence of central venous catheters, systemic inflammation, and prolonged immobilization. Although risk mitigation strategies have been described, the diagnosis, treatment, and prevention of VTE require standardization of institutional practices combined with multidisciplinary collaboration among pediatric hospitalists, hematologists, and other care providers. In this narrative review, we summarize the epidemiology of VTE, risk models identifying high-risk conditions associated with VTE, and prevention and treatment strategies. We further describe successful quality improvement efforts implementing institutional VTE risk stratification and thromboprophylaxis procedures. Finally, we highlight unique challenges facing pediatric hospital medicine specialists in the era of the COVID-19 pandemic, including caring for adults admitted to pediatric hospital units, and describe future research opportunities for VTE in the noncritically ill hospitalized child.

Central venous catheters: Indications, techniques, and complications

Central venous catheters (CVC) are commonplace in the management of critically ill patients and serve a variety of purposes. Venous access is important for the administration of fluid and medications as well as blood procurement needed for lab analyses. However, not every critically ill patient requires a CVC. This article highlights the key considerations, pitfalls and evidence-based practices regarding the use pediatric central venous catheters.