Description of Venous Thromboembolism in Hospitalized Patients With Metastatic Cancer: A National Sample

Machine learning models for prediction of postoperative venous thromboembolism in gynecological malignant tumor patients

AIM

To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) within 30 days after hysterectomy among gynecological malignant tumor patients, and to explore the value of machine learning (ML) models in VTE occurrence prediction.

METHODS

A total of 1087 patients between January 2019 and January 2022 with gynecological malignant tumors were included in this single-center retrospective study and were randomly divided into the training dataset (n = 870) and the test dataset (n = 217). Univariate logistic regression analysis was used to identify risk factors that associated with the occurrence of postoperative VTE in the training dataset. Machine learning models (including decision tree (DT) model and logistic regression (LR) model) to predict the occurrence of postoperative VTE were constructed and internally validated.

RESULTS

The incidence of developing 30-day postoperative VTE was 6.0% (65/1087). Age, previous VTE, length of stay (LOS), tumor stage, operative time, surgical approach, lymphadenectomy (LND), intraoperative blood transfusion and gynecologic Caprini (G-Caprini) score were identified as risk factors for developing postoperative VTE in gynecological malignant tumor patients (p < 0.05). The AUCs of LR model and DT model for predicting VTE were 0.722 and 0.950, respectively.

CONCLUSION

The ML models, especially the DT model, constructed in our study had excellent prediction value and shed light upon its further application in clinic practice.

The Role of Injectables in the Treatment and Prevention of Cancer-Associated Thrombosis

Cancer-associated thrombosis (CAT) is a leading cause of death among patients with cancer. CAT can manifest itself as venous thromboembolism (VTE), in the form of deep vein thrombosis or pulmonary embolism, or arterial thromboembolism. The pathophysiology of CAT is complex and depends on cancer-, patient-, treatment- and biomarkers-related factors. Treatment of VTE in patients with cancer is complex and includes three major classes of anticoagulant agents: heparin and its derivatives, e.g., low molecular weight heparins, direct oral anticoagulants (DOACs), and vitamin K inhibitors. Given the tremendous heterogeneity of clinical situations in patients with cancer and the challenges of CAT, there is no single universal treatment option for patients suffering from or at risk of CAT. Initial studies suggested that patients seemed to prefer an anticoagulant that would not interfere with their cancer treatment, suggesting the primacy of cancer over VTE, and favoring efficacy and safety over convenience of route of administration. Recent studies show that when the efficacy and safety aspects are similar, patients prefer the oral route of administration. Despite this, injectables are a valid option for many patients with cancer.

Venous thromboembolism in cancer and cancer immunotherapy

Venous thromboembolism (VTE) is a clinical disease that includes deep vein thrombosis and pulmonary embolism. Amongst its underlying risk factors, cancer is of great importance. Stasis, endothelial injury, and hypercoagulability result in clot formation and VTE. Cancer can affect coagulability by favoring these three factors, resulting in VTE incidence. Immunotherapy is a novel therapeutic approach, targeting cancer by immune system enhancement. VTE is one of the most important adverse effects of immunotherapy, which complicates the administration of immunotherapy in cancer patients. The current review provides a brief overview of VTE epidemiology, pathophysiology, risk factors, biomarkers, the relationship of cancer and cancer immunotherapy to VTE incidence, and managing cancer-associated VTE.

Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study

Background. Bone metastasis (BM) has been proven to be responsible for the poor prognosis of primary malignant bone neoplasms (PMBNs). We aimed to identify the prevalence, risk factors, and prognostic factors for PMBNs patients with BM based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods. 4,758 patients diagnosed with PMBNs from 2010 to 2018 were selected from the SEER database. All patients were divided into two groups: the BM group or the non-BM group. Pearson’s chi-square test and Fisher’s exact method were used to assess baseline characteristics, and logistic regression analysis was applied to assess risk factors. In addition, a nomogram was constructed based on the results of Cox regression analysis among 227 patients with BM. The good performance and clinical applicability of the nomogram were tested by the concordance index, operating characteristic curve, area under the curve, calibration curves, and decision curve analysis. Results. 227 (4.8%) patients had metastasis to bone at diagnosis. Primary site outside the extremities (axial: odds ratio, $\text{OR}=1.770$ ; others: $\text{OR}=1.951$ ), Ewing sarcoma ( $\text{OR}=2.845$ ), larger tumor size (5–8 cm: $\text{OR}=3.403$ ; >8 cm: $\text{OR}=5.562$ ), tumor extension beyond the periosteum ( $\text{OR}=2.477$ ), and regional lymph node metastasis ( $\text{OR}=2.900$ ) were associated with a higher risk of BM at the initial diagnosis of PMBNs. Five independent prognostic factors were found in the survival analysis: pathological type (chondrosarcoma vs. osteosarcoma: hazard ratio, $\text{HR}=0.342$ ; Ewing sarcoma vs. osteosarcoma: $\text{HR}=0.592$ ; and chordoma vs. osteosarcoma: $\text{HR}=0.015$ ), marital status ( $\text{HR}=2.457$ ), pulmonary metastasis ( $\text{HR}=1.934$ ), surgery at the primary site ( $\text{HR}=0.164$ ), and chemotherapy ( $\text{HR}=0.084$ ). A nomogram based on these prognostic factors could be a good predictor of cancer-specific survival. Conclusions. We identified the prevalence, risk factors, and prognostic factors correlated with BM in PMBNs patients. The related nomogram could be a practical tool for therapeutic decision-making and individual counseling.

Venous Thromboembolism in Hospitalized Melanoma Patients: Analysis from the National Inpatient Sample Database

Introduction

The association between cancer and hyper-coagulability is well known. However, the association between melanoma and venous thromboembolism (VTE) has not been identified.

Methods

We studied the national inpatient sample (NIS) which compromise 20% of US hospitalization to better characterize melanoma and VTE. We analyzed the data between 2010 and 2014 using ICD-9 codes.

Results

Melanoma patients were grouped into presence/absence of VTE. Multiple logistic regression was used to obtain the odds ratio (OR) to compare the mortality of the inpatient, total charges, length of stay (LOS), and disability at discharge. A total of 61,812 melanoma patients were identified, of which 5.2% were hospitalized for VTE. The presence of VTE was associated with a remarkable higher rate of discharge with a moderate to severe disability (57.5% vs 41.4%, P<0.001), in-hospital stroke (7.6% vs 4.9%, P<0.001), and in-hospital mortality (8.8% vs 5.1%, P<0.001). Costs of hospitalization (64,720$ vs 46,606, P<0.001) and LOS (5 vs 3 days, P<0.001) were significantly higher as well in the VTE group. After adjusting for common confounder, VTE was found to be an independent predictor of mortality (OR = 1.596, 95% CI [1.399-1.821], P<0.001).

Conclusion

In summary, melanoma patients with VTE had higher inpatient mortality, LOS, higher hospital cost, and a higher degree of disability upon discharge.

Prevalence, trends, and outcomes of atrial fibrillation in hospitalized patients with metastatic cancer: findings from a national sample

BACKGROUND

Epidemiological evidence regarding the link between cancer and atrial fibrillation (AF) are limited and outcomes of metastatic cancer comorbid with AF need to be elucidated.

OBJECTIVE

This study aims to evaluate the prevalence, temporal trends, and outcomes of AF in hospitalized metastatic cancer patients.

METHODS

The National Inpatient Sample (NIS) database was used to identify adult patients with metastatic tumors from 2003 to 2014. We analyzed the trends in AF prevalence, in-hospital mortality, total cost, length of stay (LOS), and comorbidities pertaining to metastatic cancer. Multivariable-adjusted models were used to evaluate the association of AF with clinical factors, in-hospital mortality, total cost, and LOS.

RESULTS

Among 2,478,598 patients with metastatic cancer, 8.74% (216,737) were diagnosed with AF. The proportion of comorbid AF increased from 8.28% in 2003 to 10.06% in 2014 (p < 0.0001). Older age, white race, male, Medicare, higher income, larger hospital bed size, and urban teaching hospital were associated with higher AF occurrence. Among primary tumor sites, lung cancer experienced the highest odds of AF compared to other cancers. Patients with metastasis to lymph node and respiratory organ had higher odds of AF. In metastatic cancer, AF was associated with higher in-hospital mortality (odds ratio: 1.48; 95% confidence interval: 1.43-1.54), 18% longer LOS, and 19% higher cost.

CONCLUSIONS

AF prevalence in metastatic cancer continues to increase from 2003 to 2014. AF is linked to poorer prognosis and higher healthcare resource utilization. As the population ages, optimal preventive and treatment management strategies are needed for metastatic cancer comorbid with AF.

Lymphadenectomy is associated with an increased risk of postoperative venous thromboembolism in early stage endometrial cancer

OBJECTIVES

In patients undergoing surgery for early stage endometrial cancer, we sought to evaluate the effect of lymphadenectomy (LND), as well as surgical route, on the risk of postoperative venous thromboembolism (VTE).

METHODS

The Surveillance, Epidemiology, and End Results cancer registries (2000-2013) linked to Medicare claims follow up from 1999 to 2014 was accessed to identify those with stage I-II endometrioid endometrial cancer who underwent hysterectomy. Performance of LND, 90-day incidence of postoperative VTE, open vs minimally invasive surgery (MIS), demographics, comorbidities, grade, and stage were collected. A washout period of 12 months with no prior VTE was required. t-test, Chi square test, univariate and multivariable Poisson regression with robust variance estimator were used.

RESULTS

A total of 15,101 patients had hysterectomy for early stage endometrial cancer. LND was performed in 9004 (60%) patients. VTE was found in 486 patients. There were 346 VTEs (3.8%) in the LND group vs 140 (2.3%) in those without LND (RR = 1.67, p < 0.0001). Adjusting for age, stage, grade, comorbidities and surgical approach, LND remained a significant risk for VTE (RR = 1.7, p < 0.001). In those who underwent MIS, LND was associated with a two-fold increase in the risk of VTE (p = 0.0008) (adjusted RR = 1.99, p = 0.0014) and had a statistically comparable rate of VTE when compared to the open surgical approach (p = 0.054).

CONCLUSIONS

LND is associated with an increased 90-day risk of postoperative VTE in patients undergoing surgery for early stage endometrial cancer. The need for extended postoperative VTE prophylaxis in patients undergoing LND via MIS needs further exploration.

Homogenous and Heterogenous Prognostic Factors for Patients with Bone Sarcoma

Objective

The aim of this study was to examine the survival rate of patients with different bone sarcomas and to investigate homogenous and heterogenous prognostic factors for different types of bone sarcomas.

Methods

This is a retrospective analysis of records from the Surveillance, Epidemiology, and End Result (SEER) database. Clear information on the distant metastasis of cancer is provided in the SEER database for patients diagnosed between January 2010 and December 2016. Data for the four types of malignant bone sarcomas were extracted, including osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. Patients with bone sarcomas originated from other sites, diagnosed at autopsy, or indicated in death certification were excluded. The overall survival was calculated for the entire cohort and across different bone sarcomas using the Kaplan–Meier method. A subgroup analysis of the different survival rates of four types of bone sarcomas in various levels of each variable was conducted and the differences were tested with the log‐rank test. Cox proportional hazard regression analysis was performed to determine the prognostic factors. Variables with P < 0.05 in the univariate Cox regression analysis were further analyzed using a multivariate Cox regression analysis. The prognostic factors in four groups of bone sarcomas were compared to determine the homogenous and heterogenous factors.

Results

A total of 4732 patients were included with a follow up of 25 (0–83) months. The mean age of patients was 39.7 ± 24.1 years. The 1‐year, 3‐year, and 5‐year overall survival rate for the entire cohort was 86.2% (95% confidence interval [CI]: 85.2%–87.2%), 70.5% (95% CI: 68.9%–72.1%), and 63.0% (95% CI: 61.2%–64.8%), respectively. Factors including age older than 40 years, higher grade, regional and distant stage, tumor in the extremities, T2 stage, bone and lung metastases, and non‐surgery were significantly associated with the poor survival of the entire cohort. The mean overall survival duration of patients with chordoma, chondrosarcoma, Ewing sarcoma, and osteosarcoma was 66.86 (95% CI: 64.06–69.66), 63.53 (95% CI: 61.81–65.25), 58.06 (95% CI: 55.49–60.62) and 54.91 (95% CI: 53.14–56.69) months, respectively. Compared with chordoma, the hazard ratio (HR) and 95% CI for patients with chondrosarcoma, Ewing sarcoma, and osteosarcoma were 1.30 (95% CI: 1.04–1.62; P = 0.023), 1.69 (95% CI: 1.33–2.14; P < 0.001), and 2.00 (95% CI: 1.61–2.48; P <0.001), respectively. Different bone sarcomas showed homogenous and heterogenous prognostic factors.

Conclusion

Different clinicopathological characteristics and prognoses were revealed in patients with osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. The risk factors can potentially guide prognostic prediction and sarcoma‐specific treatment.