ABSTRACT

BACKGROUND: Venous thromboembolism (VTE) is a complication of COVID-19 in hospitalized patients. Little information is available on long-term outcomes of VTE in this population.

OBJECTIVES: We aimed to compare the characteristics, management strategies, and long-term clinical outcomes between patients with COVID-19-associated VTE and patients with VTE provoked by hospitalization for other acute medical illnesses.

METHODS: This is an observational cohort study, with a prospective cohort of 278 patients with COVID-19-associated VTE enrolled between 2020 and 2021 and a comparison cohort of 300 patients without COVID-19 enrolled in the ongoing START2-Register between 2018 and 2020. Exclusion criteria included age <18<3

RESULTS: Patients with VTE secondary to COVID-19 had more frequent pulmonary embolism without deep vein thrombosis than controls (83.1% vs 46.2%, P<.001),P<.001),P<.001).P= 0.9) and the proportion of patients who discontinued anticoagulation (78.0% and 75.0%, P= 0.4) were similar between the 2 groups. Thrombotic event rates after discontinuation were 1.5 and 2.6 per 100 patient-years, respectively (P = 0.4).

CONCLUSION: The risk of recurrent thrombotic events in patients with COVID-19-associated VTE is low and similar to the risk observed in patients with VTE secondary to hospitalization for other medical diseases.

PMID:37229314 | PMC:PMC10131739 | DOI:10.1016/j.rpth.2023.100167

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PubMed articles on: Cancer & VTE/PE

Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy

Int J Gen Med. 2023 May 18;16:1909-1925. doi: 10.2147/IJGM.S408770. eCollection 2023.

ABSTRACT

PURPOSE: This study aims to construct a machine learning model that can recognize preoperative, intraoperative, and postoperative high-risk indicators and predict the onset of venous thromboembolism (VTE) in patients.

PATIENTS AND METHODS: A total of 1239 patients diagnosed with gastric cancer were enrolled in this retrospective study, among whom 107 patients developed VTE after surgery. We collected 42 characteristic variables of gastric cancer patients from the database of Wuxi People's Hospital and Wuxi Second People's Hospital between 2010 and 2020, including patients' demographic characteristics, chronic medical history, laboratory test characteristics, surgical information, and patients' postoperative conditions. Four machine learning algorithms, namely, extreme gradient boosting (XGBoost), random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN), were employed to develop predictive models. We also utilized Shapley additive explanation (SHAP) for model interpretation and evaluated the models using k-fold cross-validation, receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and external validation metrics.

RESULTS: The XGBoost algorithm demonstrated superior performance compared to the other three prediction models. The area under the curve (AUC) value for XGBoost was 0.989 in the training set and 0.912 in the validation set, indicating high prediction accuracy. Furthermore, the AUC value of the external validation set was 0.85, signifying good extrapolation of the XGBoost prediction model. The results of SHAP analysis revealed that several factors, including higher body mass index (BMI), history of adjuvant radiotherapy and chemotherapy, T-stage of the tumor, lymph node metastasis, central venous catheter use, high intraoperative bleeding, and long operative time, were significantly associated with postoperative VTE.

CONCLUSION: The machine learning algorithm XGBoost derived from this study enables the development of a predictive model for postoperative VTE in patients after radical gastrectomy, thereby assisting clinicians in making informed clinical decisions.

PMID:37228741 | PMC:PMC10202705 | DOI:10.2147/IJGM.S408770

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PubMed articles on: Cardio-Oncology

The incidence rate of allergic reactions induced by oxaliplatin is higher in patients with rectal cancer compared with colon cancer

Drug Chem Toxicol. 2023 May 29:1-7. doi: 10.1080/01480545.2023.2217700. Online ahead of print.

ABSTRACT

AIM: To explore the diverse profiles of adverse reactions caused by oxaliplatin between colon and rectal cancer, we investigated the toxicity of oxaliplatin in patients with colon and rectal cancer.

METHODS: From January 2017 to December 2021, 200 cases of sporadic CRC patients with adverse reactions after oxaliplatin were collected from Harbin Medical University Cancer Hospital, Harbin, China. All patients received a chemotherapy regimen containing oxaliplatin (100 colon cancer and 100 rectal cancer). We reviewed the adverse reactions induced by oxaliplatin in patients with colon and rectal cancer.

RESULTS: We found there was no significant difference in gastrointestinal toxicity, hematotoxicity, neurotoxicity, hepatotoxicity, respiratory toxicity, and cardiotoxicity caused by oxaliplatin between patients with colon cancer and patients with rectal cancer, but patients with rectal cancer were more prone to allergic reactions than patients with colon cancer after oxaliplatin. In addition, we found neutrophil-to-lymphocyte ratios (NLR) and platelet-to-lymphocyte ratios (PLR) were higher in patients with colon cancer than in patients with rectal cancer. This may reflect differences in immune status and inflammatory responses between colon cancer and rectal cancer, which might be the reason for more allergic reactions caused by oxaliplatin in colon cancer patients compared to rectal cancer patients.

CONCLUSION: Except for a higher incidence of allergic reactions in patients with rectal cancer, no significant difference in the incidence of adverse drug reactions associated with oxaliplatin was noted between patients with colon cancer and rectal cancer. Our results suggested more attention should be paid to the allergic reaction caused by oxaliplatin in patients with colon cancer.

PMID:37246950 | DOI:10.1080/01480545.2023.2217700

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PubMed articles on: Cardio-Oncology

Hyperoside prevents doxorubicin-induced cardiotoxicity by inhibiting NOXs/ROS/NLRP3 inflammasome signaling pathway

Phytother Res. 2023 May 28. doi: 10.1002/ptr.7900. Online ahead of print.