Assessing the thrombosis risk of peripherally inserted central catheters in cancer patients using Caprini risk assessment model: a prospective cohort study

Feng, Yue; Zheng, Rujun; Fu, Yan; Xiang, Quanju; Yue, Zhiying; Li, Junying; Yu, Chunhua; Jiang, Yan

doi:10.1007/s00520-021-06073-4

Cited by 13 publications

(17 citation statements)

References 30 publications

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“…Secondly, the current study identified that the Caprini assessment scale had a greater predictive value in the assessment of CRT than other models. This finding was consistent with that of Feng et al, wherein the Caprini scale was used for high-risk screening of the CRT in cancer patients, and the AUC value was 0.636 (95% CI: 0.590–0.680; P < 0.001) 25 . Unlike Feng et al, this study compared the predictive value of five different risk assessment scales simultaneously.…”

Section: Discussionsupporting

confidence: 92%

“…The conclusive scores were obtained from patients from General Surgery, Internal Medicine, outpatients, or intensive care unit (ICU), respectively 9 , 11 , 12 , 24 . Few studies have attempted to apply the classic VTE risk models to assess the thrombosis risk of PICC 25 , 26 . The Michigan risk score is the first risk model for CRT prediction in recent years.…”

Section: Discussionmentioning

confidence: 99%

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A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies

Yue

Zhang

et al. 2022

Sci Rep

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This study aimed to explore the risk factors of peripherally inserted central catheter (PICC)-related venous thromboembolism (CRT) in patients with hematological malignancies and the predictive ability of the thrombotic risk assessment models (RAMs). The clinical data of the 117 eligible patients with hematological neoplasms at Mianyang Central Hospital with PICC from May 2018 to May 2020 were analyzed in this retrospective study. Thrombosis risk scores were calculated in patients with image-confirmed PICC-related thromboembolism. CRT occurred in 19 cases. Compared to the CRT-free group, the CRT group was older and showed higher body mass index (BMI), leukocyte count level, and the prevalence of diabetes mellitus. Multivariable logistic regression analysis showed that BMI (P = 0.03) was a significant risk factor for CRT. The area under the receiver operating characteristic curve for the Caprini scale (P = 0.01) was higher than that of the modified Wells scale (P = 0.94), the revised Geneva scale (P = 0.83), Padua scale (P = 0.59), and Michigan scale (P = 0.80). The sensitivity and specificity for the Caprini scale, Padua scale, modified Wells scale, the revised Geneva scale, and Michigan risk score were 63.3%/73.7%, 100%/0.00%, 95.9%/5.3%, 31.6%/73.7%, and 1.0%/99.0%, respectively. Caprini RAM had a better predictive ability for CRT in patients with hematological malignancies. Michigan risk score may not be better than Caprini RAM in this population.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies

Yue

Zhang

et al. 2022

Sci Rep

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“…There isn't a general agreement on the optimum method to choose potential predictors, hence this is a point of contention 11 . In the majority of research 16,21,22 , variable selection based on univariate statistical signi cance results in over t models. Other predictors were not examined because these predictors were screened as a single independent factor based on their statistically signi cant results 23 .…”

Section: Declarations Data Availability Statementmentioning

confidence: 99%

Clinical Prediction Models for Peripherally Inserted Central Catheter-Related Venous Thrombosis: A Systematic Review and Meta-analysis

Wang

et al. 2023

Preprint

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Background PICC-related venous thrombosis (PICC-RVT) is one of the most serious complications of PICC. Clinical prediction models (CPMs) are statistical models that incorporate a number of variables and forecast the likelihood of outcome events using a few risk factors.Objective To analyze the reported PICC-RVT risk prediction models' bias risks and to conduct out a meta-analysis.Methods PICC-RVT research reports were available in PubMed, Web of Science, CINAHL, Scopus, ProQuest, and Cochrane Library. Research data from articles fulfilling eligibility conditions were collected and analyzed using the Systematic Reviews of Prediction Modeling Studies checklist. The included studies were assessed for bias using PROBAST. A meta-analysis of the C statistics of the included studies was performed using R software.Results A total of 714 articles were acquired from the electronic database; 5 of these were included in our study. All models were evaluated to have "low risk" in the clinical application domain using PROBAST evaluation. Regarding bias risk, three models were labeled as "high risk," one as "uncertain," and one as "low risk." The C-statistics for each model, which were in the range of 0.636 to 0.802.Conclusions The model's discrimination and prediction are acceptable, and most of the models in our review lack external validation. Our findings suggest reporting predictive model creation or validation utilizing TRIPOD criteria.

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“…However, current guidelines do not recommend routine preventive anticoagulation therapy [7]. Many researchers have assessed PICC-RVT risk prediction models to guide medical staff to take measures as early as possible [8][9][10]. Nevertheless, it was lacking in speci c cancer patients.…”

Section: Introductionmentioning

confidence: 99%

A model to assess the risk of peripherally inserted central venous catheter-related thrombosis in patients with breast cancer: a retrospective cohort study

Peng

Wei

et al. 2021

Support Care Cancer

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Purpose: Limited risk assessment tool to stratify the risk of PICC-related thrombosis (PICC-RVT) in breast cancer patients. This study developed a model to assess the risk of PICC-RVT in breast cancer patients.Methods: We conducted a retrospective cohort study of 1284 breast cancer patients receiving PICC insertion during 1 January 2015 -31 August 2019 at a cancer specialized hospital in Hunan province, China. The entire population is divided into two groups at a ratio of 3:1 which included a derivation sample (n=978), and a validation sample (n=284). PICC-RVT was con rmed by ultrasonography in the presence of clinical symptoms and signs.Results: PICC-RVT occurred in 40 (4.09%) of the derivation sample patients. Multivariable analysis identi ed 9 variables: chronic obstructive pulmonary disease, prior central venous catheter placement, higher level of Platelets, higher level of D-dimer, lower level of Activated partial thromboplastin time, menopause, no prior breast surgery, upper extremity lymphedema, and endocrine therapy. Points were assigned to each variable according to regression coe cient. The model had an area under the receiver operating characteristics curve (AUC) of 0.850 (95% CI 0.776 to 0.924), The Hosmer-Lemeshow goodness of t was 4.781 (p=0.572). At a cutoff value of 3.5, the sensitivity and specifcity were 75% and 83%, respectively.Conclusion: Several disease-speci c factors of breast cancer (e.g., menopause, endocrine therapy and upper extremity lymphedema) play important roles in the development of PICC-RVT. Patients at higher PICC-RVT risk could be candidates for close post-insertion monitoring and interventions to prevent PICC-RVT.

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Assessing the thrombosis risk of peripherally inserted central catheters in cancer patients using Caprini risk assessment model: a prospective cohort study

Cited by 13 publications

References 30 publications

A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies

A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies

Clinical Prediction Models for Peripherally Inserted Central Catheter-Related Venous Thrombosis: A Systematic Review and Meta-analysis

A model to assess the risk of peripherally inserted central venous catheter-related thrombosis in patients with breast cancer: a retrospective cohort study

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