Evolving data on cardiovascular complications in cancer

Willems, Ruth A.L.; Winckers, Kristien; Biesmans, Charlotte; Vos‐Geelen, Judith de; Cate, Hugo Ten

doi:10.1016/j.thromres.2022.01.003

Cited by 9 publications

(3 citation statements)

References 93 publications

(109 reference statements)

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“…Active cancer is another risk factor for VTE. [ 20] In addition, the risk of bleeding is substantially increased in patients with cancer because of the risk of thrombocytopenia after treatment, which has led to concerns regarding the use of anticoagulant drugs in these patients. [21][22][23] In the current study, 240 (18.2%) patients had active cancer, lter placement was performed because of poor general condition, insu cient anticoagulation, and progression or recurrence of VTE.…”

Section: Discussionmentioning

confidence: 99%

A Nomogram Model to Predict Non-Retrieval of Short-term Retrievable Inferior Vena Cava Filters Short Title: Risk Factors for Non-retrieval of Retrievable Filters

Qin,

Gu,

et al. 2024

Preprint

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Objective To develop and validate a nomogram for predicting non-retrieval of the short-term retrievable inferior vena cava (IVC) filters. Methods In this study, univariate and multivariate logistic regression analyses were performed to identify predictive factors of short-term retrievable filter non-retrieval, and a nomogram was then established based on these factors. The nomogram was created based on data from a training cohort and validated based on data from a validation cohort. The predictive value of the nomogram was estimated using area under the curve (AUC) and calibration curve analysis (Hosmer-Lemeshow test). Results A total of 1321 patients who had undergone placement of short-term retrievable filters (Aegisy or OptEase) were included in the analysis. The overall retrieval rate was. Age, mixed type deep vein thrombosis (DVT) vs peripheral type DVT, active cancer, history of long-term immobilization, VTE was detected in the intensive care unit, active/recurrent bleeding, IVC thrombosis, and history of venous thromboembolism were independent predictive risk factors for non-retrieval of filters. Interventional therapy for DVT, fresh fracture, and interval of ≥ 14 days between filter placement and patient discharge were independent protective factors for non-retrieval of filters. The nomogram based on these factors demonstrated good ability to predict the non-retrieval of filters (training cohort AUC = 0.870; validation cohort AUC = 0.813. Conclusion This nomogram demonstrated strong predictive accuracy and discrimination capability. This model may help clinicians identify patients who are not candidates for short-term retrievable filter placement and help clinicians make timely, individualized decisions in filter choice strategies.

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Section: Discussionmentioning

confidence: 99%

A Nomogram Model to Predict Non-Retrieval of Short-term Retrievable Inferior Vena Cava Filters Short Title: Risk Factors for Non-retrieval of Retrievable Filters

Qin,

Gu,

et al. 2024

Preprint

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“…The association between increased body mass index (BMI) and the highest risk of developing a second cancer (of different types, including a BC recurrence) was recently demonstrated in BCS women [13]. Compared to women without a history of the disease, BCS also has a greater chance of developing metabolic syndrome [14] and a higher risk of death from cardiovascular disease [15]. However, despite the complexity of the human organism and wide margin for new findings in studies involving women who survived breast cancer, the number of studies involving multidimensional observations is still limited.…”

Section: Introductionmentioning

confidence: 99%

Correlations between health indicators in women who survived breast cancer

Paixão

Leite²,

Cunha³

et al. 2023

Sci. Plena

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The increase in breast cancer survivors (BCS) has established unprecedented demands on health systems worldwide. In this context, new knowledge is needed to subsidize strategies to handle this population. The objective of this study was to combine the correlations between anthropometric, hematological, biochemical, biophysicochemical, muscle strength, and age variables in BCS. Twenty-two volunteers (51.7 ± 9.2 years old) with a history of mastectomy and lymphadenectomy participated in the study. Among the results, the correlations of the body mass index with lipid profile, strength, and body composition draw special attention. The associations of lipid profile with erythrocyte membrane stability, body composition, and leukocyte count, the associations of the red cell distribution width (RDW) with body mass index, lipid profile, and strength, and the positive correlation between age and leukocyte count also deserve highlights. Such findings allow concluding that investigations that deal singly with health indicators represent a severe limitation in the study of the public in question, and it is necessary to avoid them. The complex network of interactions observed between the various parameters studied reinforces the importance of a global biological analysis of attractive cost-benefit and great practical potential. Teams with medical, nutrition, physical therapy, and physical education professionals, among other areas, can use this knowledge to improve BCS's interdisciplinary approaches in short, medium, and long-term management.

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“…The health questions that remain unanswered during the survivorship trajectory hamper complete recovery after cancer experience and, in some cases, represent a threat to the survivor’s chances of cure. In particular, the increased rates of being overweight and sedentary habits in breast cancer survivors have been shown to negatively affect not only their quality of life, but also their disease-free survival, secondary cancers, and cardiovascular disease rates [ 11 , 12 , 13 ].…”

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confidence: 99%