ABSTRACT

BACKGROUND: Open fractures of the ankle are complex injuries requiring multidisciplinary input and are associated with significant morbidity and mortality. However, data on the clinical outcomes of open ankle fracture management in patients older than 70 is minimal.

AIM: To evaluate the clinical outcomes following open ankle fracture management in patients older than 70. Our secondary aim is to look at predictors of poor outcomes.

METHODS: Following local research and audit department registration, 22 years of prospectively collated data from an electronic database in a district general hospital were assessed. All patients older than 70 years of age with an open ankle fracture requiring surgical intervention were identified. Demographic information, the nature, and the number of surgical interventions were collated. Complications, including surgical site infection (SSI), venous thromboembolic events (VTEs) during hospital stay, and mortality rate, were reviewed.

RESULTS: A total of 37 patients were identified (median age: 84 years, range: 70-98); n= 30 females median age: 84 years, range: 70-97); n= 7 males median age: 74 years, range: 71-98)) who underwent surgical intervention after an open ankle fracture. Sixteen patients developed SSIs (43%). Superficial SSIs (n = 8) were managed without surgical intervention and treated with antibiotics and regular dressing changes. Deep SSIs (n = 8; 20%) required a median of 3 (range: 2-9) surgical interventions, with four patients requiring multiple washouts and one patient having metalwork removed. VTE incidence was 5% during the hospital stay. Eight patients died within 30 d, and mortality at one year was 19%. The 10-year mortality rate was 57%. The presence of a history of stroke, cancer, or prolonged inpatient stay was found to be predictive of lower survivorship in this population (log-rank test: cancer P= 0.008, stroke P= 0.001, length of stay > 33 d P= 0.015). The presence of a cardiac history was predictive of wound complications (logistic regression, P= 0.045). Age, number of operations, and diabetic history were found to be predictive of an increase in the length of stay (general linear model; age P< 0.001, number of operations P< 0.001, diabetes P= 0.041).

CONCLUSION: An open ankle fracture in a patient older than 70 years has at least a 20% chance of requiring repeated surgical intervention due to deep SSIs. The presence of a cardiac history appears to be the main predictor for wound complications.

PMID:37485433 | PMC:PMC10359747 | DOI:10.5312/wjo.v14.i7.554

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PubMed articles on: Cancer & VTE/PE

Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery

Clin Spine Surg. 2023 Jul 24. doi: 10.1097/BSD.0000000000001498. Online ahead of print.

ABSTRACT

STUDY DESIGN: A retrospective cohort study.

OBJECTIVES: Venous thromboembolism (VTE) is a potentially high-risk complication for patients undergoing spine surgery. Although guidelines for assessing VTE risk in this population have been established, development of new techniques that target different aspects of the medical history may prove to be of further utility. The goal of this study was to develop a predictive machine learning (ML) model to identify nontraditional risk factors for predicting VTE in spine surgery patients.

SUMMARY OF BACKGROUND DATA: A cohort of 63 patients was identified who had undergone spine surgery at a single center from 2015 to 2021. Thirty-one patients had a confirmed VTE, while 32 had no VTE. A total of 113 attributes were defined and collected via chart review. Attribute categories included demographics, medications, labs, past medical history, operative history, and VTE diagnosis.

METHODS: The Waikato Environment for Knowledge Analysis (WEKA) software was used in creating and evaluating the ML models. Six classifier models were tested with 10-fold cross-validation and statistically evaluated using t tests.

RESULTS: Comparing the predictive ML models to the control model (ZeroR), all predictive models were significantly better than the control model at predicting VTE risk, based on the 113 attributes (P<0.001).

CONCLUSION: Further development of these tools may provide high diagnostic value and may guide chemoprophylaxis treatment in this setting of high-risk patients.

PMID:37482644 | DOI:10.1097/BSD.0000000000001498

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PubMed articles on: Cancer & VTE/PE

Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining

Med Image Anal. 2023 Jul 14;89:102882. doi: 10.1016/j.media.2023.102882. Online ahead of print.

ABSTRACT

We present a novel computer algorithm to automatically detect and segment pulmonary embolisms (PEs) on computed tomography pulmonary angiography (CTPA). This algorithm is based on deep learning but does not require manual outlines of the PE regions. Given a CTPA scan, both intra- and extra-pulmonary arteries were firstly segmented. The arteries were then partitioned into several parts based on size (radius). Adaptive thresholding and constrained morphological operations were used to identify suspicious PE regions within each part. The confidence of a suspicious region to be PE was scored based on its contrast in the arteries. This approach was applied to the publicly available RSNA Pulmonary Embolism CT Dataset (RSNA-PE) to identify three-dimensional (3-D) PE negative and positive image patches, which were used to train a 3-D Recurrent Residual U-Net (R2-Unet) to automatically segment PE. The feasibility of this computer algorithm was validated on an independent test set consisting of 91 CTPA scans acquired from a different medical institute, where the PE regions were manually located and outlined by a thoracic radiologist (>18 years' experience). An R2-Unet model was also trained and validated on the manual outlines using a 5-fold cross-validation method. The CNN model trained on the high-confident PE regions showed a Dice coefficient of 0.676±0.168 and a false positive rate of 1.86 per CT scan, while the CNN model trained on the manual outlines demonstrated a Dice coefficient of 0.647±0.192 and a false positive rate of 4.20 per CT scan. The former model performed significantly better than the latter model (p<0.01).

PMID:37482032 | DOI:10.1016/j.media.2023.102882

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PubMed articles on: Cancer & VTE/PE

Polygenic risk scores for prediction of cancer-associated venous thromboembolism in the UK Biobank cohort study

J Thromb Haemost. 2023 Jul 20:S1538-7836(23)00571-8. doi: 10.1016/j.jtha.2023.07.009. Online ahead of print.

ABSTRACT

BACKGROUND: Guidelines recommend thromboprophylaxis for cancer patients at high risk of venous thromboembolism (VTE). Polygenic risk scores may improve VTE prediction, but have not yet been evaluated in cancer patients.

METHODS: We assessed the performance of the 5-SNP, 37-SNP, 297-SNP, extended 297-SNP (additionally including factor V Leiden and prothrombin G20210A), and 100-SNP scores in predicting cancer-associated VTE in the UK Biobank, a population-based, prospective cohort study. The primary outcome was VTE during 12 months after cancer diagnosis. Cancer and VTE diagnosis were based on ICD-10 codes. Discrimination was evaluated by c-indices and subdistribution hazard ratios (SHR) in the upper vs three lower quartiles of the scores in a competing risk model. As a comparison, the c-index was calculated for the Khorana cancer type risk classification.

FINDINGS: Of 36,150 cancer patients (median age, 66 years; 48.7% females), 1,018 (2.8%) developed VTE. C-indices at 12 months ranged from 0.56 (95%CI, 0.54-0.58) for the 5-SNP to 0.60 (95%CI, 0.58-0.62) for the extended 297-SNP scores. SHRs ranged from 1.36 (95%CI, 1.19-1.56) for the 5-SNP to 1.90 (95%CI, 1.68-2.16) for the extended 297-SNP scores, and were consistent after adjusting for cancer type. For the Khorana cancer type classification the c-index was 0.60 (95%CI, 0.58-0.61), which increased to 0.65 (95%CI, 0.63-0.67; +0.05, 95%CI, 0.04-0.07) when combined with the extended 297-SNP score.

INTERPRETATION: These findings demonstrate that polygenic VTE risk scores can identify cancer patients with a 1.9-fold higher VTE risk independent of cancer type. Combined clinical-genetic scores to improve cancer-associated VTE prediction should be evaluated further.

PMID:37481074 | DOI:10.1016/j.jtha.2023.07.009

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PubMed articles on: Cancer & VTE/PE

Antithrombotic secondary prophylaxis with low dose of apixaban or rivaroxaban in the onco-hematologic patients: comparison with non-neoplastic patients

Ann Hematol. 2023 Jul 21. doi: 10.1007/s00277-023-05369-1. Online ahead of print.

ABSTRACT

Management of cancer-associated thrombosis (CAT) is usually performed employing low molecular weight heparin (LMWH) or direct oral anticoagulants (DOACs). Low-intensity DOACs are the mainstay for extended duration therapy for VTE in non-oncologic patients. The aim of our study was to evaluate the efficacy and the safety of low doses of apixaban or rivaroxaban as secondary prophylaxis in patients affected by hematological malignancies with follow-up > 12 months. We report an observational, retrospective, single-center study that evaluated consecutive patients referred to our center between January 2016 and January 2023. The DOACs were administered at full dose during the acute phase of VTE and then at low dose for the extended phase. We included 154 patients: 53 patients affected by hematological malignancies compared to 101 non-neoplastic patients. During full-dose treatment, no thrombotic recurrences were observed in the two groups. During low-dose therapy, 2 (1.9%) thrombotic events (tAE) were observed in the control group. During full-dose treatment, the rate of bleeding events (bAE) was 9/154 (5.8%): 6/53 (11%) in hematological patients and 3/101 (2.9%) in non-hematological patients (p = 0.0003). During low-dose therapy, 4/154 (2.6%) bAE were observed: 3/53 (5.5%) in the hematologic group and 1 (1%) in the control group (p = 0.07). We found encouraging data on the safety and efficacy of low doses of DOACs as secondary prophylaxis in the onco-hematologic setting; no thrombotic complications were observed, and the incidence of hemorrhagic events was low.

PMID:37479891 | DOI:10.1007/s00277-023-05369-1

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PubMed articles on: Cancer & VTE/PE

Neutrophil extracellular trap formation is an independent risk factor for occult cancer in patients presenting with VTE

J Thromb Haemost. 2023 Jul 19:S1538-7836(23)00565-2. doi: 10.1016/j.jtha.2023.07.007. Online ahead of print.

ABSTRACT

BACKGROUND: Venous thromboembolism (VTE), particularly unprovoked VTE, is associated with occult cancer. Current guidelines recommend limited cancer screening in patients presenting with unprovoked VTE. Only half of the underlying cancer cases are detected by cancer screening, and the optimal screening regimen remains controversial. Neutrophil extracellular traps (NETs) are implicated in cancer-associated thrombosis and elevated biomarkers of NET formation are associated with poor prognosis.

OBJECTIVES AND METHODS: This prospective cohort study investigated the association between blood biomarkers associated with NETs and neutrophil activation (circulating nucleosomal citrullinated histone H3 [H3Cit-DNA], cell-free DNA, and neutrophil elastase) and cancer during a one-year follow-up.

RESULTS AND CONCLUSIONS: Four-hundred-sixty VTE patients were included. Two hundred and twenty-one (48%) had isolated deep vein thrombosis, and 220 (48%) of all VTE cases were unprovoked. Cancer was diagnosed in 29 (7.0%) VTE patients during the follow-up period, and 43 patients had a known active cancer. After adjustment for age and unprovoked VTE, the hazard ratio of cancer during follow-up per 500 ng/ml increase of H3Cit-DNA was 1.79 [95% CI 1.03-3.10] suggesting that H3Cit-DNA is potentially a useful diagnostic marker for cancer in patients with VTE. Furthermore, patients with cancer-associated VTE (known active cancer or cancer diagnosed during follow-up) had higher levels of H3Cit-DNA compared to cancer-free patients with VTE after adjustment for age, hemoglobin, gender, chronic obstructive pulmonary disease, prior cancer and start of anticoagulant treatment (odds ratio 2.06 per 500 ng/ml increase of H3Cit-DNA [95% CI 1.35-3.13]), indicating that elevated NET formation is a hallmark of cancer-associated VTE.

PMID:37479035 | DOI:10.1016/j.jtha.2023.07.007

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PubMed articles on: Cancer & VTE/PE

Diagnostic management of acute pulmonary embolism: a prediction model based on a patient data meta-analysis

Eur Heart J. 2023 Jul 15:ehad417. doi: 10.1093/eurheartj/ehad417. Online ahead of print.

ABSTRACT

AIMS: Risk stratification is used for decisions regarding need for imaging in patients with clinically suspected acute pulmonary embolism (PE). The aim was to develop a clinical prediction model that provides an individualized, accurate probability estimate for the presence of acute PE in patients with suspected disease based on readily available clinical items and D-dimer concentrations.

METHODS AND RESULTS: An individual patient data meta-analysis was performed based on sixteen cross-sectional or prospective studies with data from 28 305 adult patients with clinically suspected PE from various clinical settings, including primary care, emergency care, hospitalized and nursing home patients. A multilevel logistic regression model was built and validated including ten a priori defined objective candidate predictors to predict objectively confirmed PE at baseline or venous thromboembolism (VTE) during follow-up of 30 to 90 days. Multiple imputation was used for missing data. Backward elimination was performed with a P-value <0.10.

CONCLUSION: The present model provides an absolute, individualized probability of PE presence in a broad population of patients with suspected PE, with very good discrimination and calibration. Its clinical utility needs to be evaluated in a prospective management or impact study.

REGISTRATION: PROSPERO ID 89366.

PMID:37452732 | DOI:10.1093/eurheartj/ehad417

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PubMed articles on: Cardio-Oncology

Non-coding RNAs, cancer treatment and cardiotoxicity: A triad of new hope

Cancer Treat Res Commun. 2023 Jul 28;36:100750. doi: 10.1016/j.ctarc.2023.100750. Online ahead of print.

ABSTRACT

The global health landscape has experienced a shift towards non-communicable diseases, with cardiovascular diseases and cancer as leading causes of mortality. Although advancements in healthcare have led to an increase in life expectancy, they have concurrently resulted in a greater burden of chronic health conditions. Unintended consequences of anticancer therapies on various tissues, particularly the cardiovascular system, contribute to elevated morbidity and mortality rates that are not directly attributable to cancer. Consequently, the field of cardio-oncology has emerged to address the prevalence of CVD in cancer survivors and the cardiovascular toxicity associated with cancer therapies. Non-coding RNAs (ncRNAs) have been found to play a crucial role in early diagnosis, prognosis, and therapeutics within the realm of cardio-oncology. This comprehensive review evaluates the risk assessment of cancer survivors concerning the acquisition of adverse cardiovascular consequences, investigates the association of ncRNAs with CVD in patients undergoing cancer treatment, and delves into the role of ncRNAs in the diagnosis, treatment, and prevention of CVD in patients with a history of anti-cancer therapy. A thorough understanding of the pathogenesis of cancer therapy-related cardiovascular disease and the involvement of ncRNAs in cardio-oncology will enable healthcare professionals to provide anticancer treatment with minimized cardiovascular side effects, thereby improving patient outcomes. Ultimately, this comprehensive analysis aims to provide valuable insights into the complex interplay between cancer and cardiovascular diseases, facilitating the development of more effective diagnostic, therapeutic, and preventive strategies in the burgeoning field of cardio-oncology.

PMID:37531735 | DOI:10.1016/j.ctarc.2023.100750

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PubMed articles on: Cardio-Oncology

Patient mortality following new-onset heart failure stratified by cancer type and status

Eur J Heart Fail. 2023 Aug 3. doi: 10.1002/ejhf.2984. Online ahead of print.

ABSTRACT

AIM: Expected 1-year survival is essential to risk stratification of patients with heart failure (HF); however, little is known about the 1-year prognosis of patients with HF and cancer. Thus, the objective was to investigate the 1-year prognosis following new-onset HF stratified by cancer status in patients with breast-, gastrointestinal-, or lung cancer.

METHODS AND RESULTS: All Danish patients with new-onset HF from 2000-2018 were included. Cancer status was categorized as history of cancer (no cancer-related contact within five years of HF diagnosis), non-active cancer (curative intended procedure administered) and active cancer. Standardized 1-year all-cause mortality was reported using G-computation. Age-stratified 1-year all-cause mortality was estimated using the Kaplan-Meier estimator. In total, 193 359 patients with HF were included, 7.3% had either a breast-, gastrointestinal or lung cancer diagnosis. Patients with cancer were older and more comorbid than patients without cancer. Standardized 1-year all-cause mortalities (95% confidence intervals) were 24.6% (23.0%-26.2%), 27.1% (25.5%-28.6%), and 29.9% (25.9%-34.0%) for history of breast-, gastrointestinal-, and lung cancer, which was comparable to patients with non-active cancers. For active breast-, gastrointestinal-, and lung cancer, standardized 1-year all-cause mortalities were 36.2% (33.8%-38.6%), 49.0% (47.2%-50.9%), and 61.6% (59.7%-63.5%), respectively. One-year all-cause mortality increased incrementally with age, except for active lung cancer.

CONCLUSION: Standardized 1-year all-cause mortality were comparable for patients with history of cancer and non-active cancer regardless cancer type, but varied comprehensively for active cancers. Prognostic impact of age was limited for active lung cancer. Thus, granular stratification of cancer is necessary for optimized management of new-onset HF. This article is protected by copyright. All rights reserved.

PMID:37534618 | DOI:10.1002/ejhf.2984

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PubMed articles on: Cardio-Oncology

Anthracycline induced left ventricular dysfunction in AML: A focus on the molecularly defined future of cardio-oncology

Leuk Res. 2023 Jul 29;133:107366. doi: 10.1016/j.leukres.2023.107366. Online ahead of print.

NO ABSTRACT

PMID:37531679 | DOI:10.1016/j.leukres.2023.107366

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PubMed articles on: Cardio-Oncology

Cancer Therapy-Related Cardiotoxicity: A Comprehensive Retrospective Analysis at Najran Cancer Center, Saudi Arabia

Cureus. 2023 Jul 2;15(7):e41287. doi: 10.7759/cureus.41287. eCollection 2023 Jul.