Development and external validation of a nomogram for predicting short-term prognosis in patients with acute pulmonary embolism.

BACKGROUND: Accurate assessment and timely intervention play a crucial role in ameliorating poor short-term prognosis of acute pulmonary embolism (APE) patients. The currently employed scoring models exhibit a degree of complexity, and some models may not comprehensively incorporate relevant indicators, thereby imposing limitations on the evaluative efficacy. Our study aimed to construct and externally validate a nomogram that predicts 30-day all-cause mortality risk in APE patients. METHODS: Clinical data from APE patients in Intensive Care-IV database was included as a training cohort. Additionally, we utilized our hospital's APE database as an external validation cohort. The nomogram was developed, and its predictive ability was evaluated using receiver operating characteristic (ROC) curves, calibration plots and decision curve analysis. RESULTS: A collective of 1332 patients and 336 patients were respectively enrolled as the training cohort and the validation cohort in this study. Five variables including age, malignancy, oxygen saturation, blood glucose, and the use of vasopressor, were identified based on the results of the multivariate Cox regression model. The ROC value for the nomogram in the training cohort yielded 0.765, whereas in the validation group, it reached 0.907. Notably, these values surpassed the corresponding ROC values for the Pulmonary Embolism Severity Index, which were 0.713 in the training cohort and 0.754 in the validation cohort. CONCLUSIONS: The nomogram including five indicators had a good performance in predicting short-term prognosis in patients with APE, which was easier to apply and provided better recommendations for clinical decision-making.

Extracellular vesicles as a new frontier of diagnostic biomarkers in osteosarcoma diseases: a bibliometric and visualized study.

The use of liquid biopsy in cancer research has grown exponentially, offering potential for early detection, treatment stratification, and monitoring residual disease and recurrence. Exosomes, released by cancer cells, contain tumor-derived materials and are stable in biofluids, making them valuable biomarkers for clinical evaluation. Bibliometric research on osteosarcoma (OS) and exosome-derived diagnostic biomarkers is scarce. Therefore, we aimed to conduct a bibliometric evaluation of studies on OS and exosome-derived biomarkers. Using the Web of Science Core Collection database, Microsoft Excel, the R "Bibliometrix" package, CiteSpace, and VOSviewer software, quantitative analyses of the country, author, annual publications, journals, institutions, and keywords of studies on exosome-derived biomarkers for OS from 1995 to 2023 were performed. High-quality records (average citation rate ≥ 10/year) were filtered. The corresponding authors were mainly from China, the USA, Australia, and Canada. The University of Kansas Medical Center, National Cancer Center, Japan, and University of Kansas were major institutions, with limited cooperation reported by the University of Kansas Medical Center. Keyword analysis revealed a shift from cancer progression to mesenchymal stem cells, exosome expression, biogenesis, and prognostic biomarkers. Qualitative analysis highlighted exosome cargo, including miRNAs, circRNAs, lncRNAs, and proteins, as potential diagnostic OS biomarkers. This research emphasizes the rapid enhancement of exosomes as a diagnostic frontier, offering guidance for the clinical application of exosome-based liquid biopsy in OS, contributing to the evolving landscape of cancer diagnosis.

Stroke risk of COPD patients and death risk of COPD patients following a stroke: A systematic review and meta-analysis.

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is closely related to the development and progression of cardiovascular disease. The purpose of this study is to clarify the answers to the following questions through systematic evaluation: the risk of stroke in COPD patients; the risk of stroke in acute exacerbations of COPD (AECOPD) patients; and the risk of death after stroke in COPD patients. METHODS: Two reviewers independently searched EMbase, PubMed, and the Cochrane Library for relevant literature from the date of creation to February 17, 2023, for studies relating COPD to stroke patients. Of the 8039 publications retrieved, we identified 27 articles that met our selection criteria. Fixed-effects or random-effects models were used to calculate ORs and 95% confidence intervals for the combined risk. RESULTS: combining studies on stroke risk in COPD patients by random-effects model suggested that COPD was an independent risk factor for stroke-associated pneumonia (OR 1.40, 95% CI: 1.24-1.59, I2 = 98.4%, P = .000), with significant heterogeneity in the results, and subgroup analysis did not find a source of heterogeneity. In the combined 7 AECOPD studies, a significantly higher risk of stroke was found (OR 1.53, 95% CI: 1.44-1.63, I2 = 49.2%, P = .066). In the combined 6 short- term prognostic studies, the relationship between COPD and risk of death was not highly significant (OR 1.12, 95% CI: 1.08-1.16, I2 = 37.4%, P = .131). In 10 long-term observational prognosis studies, COPD was suggested to be associated with death after stroke by combining data using a random-effects model (OR 1.20, 95% CI: 1.13-1.27, I2 = 56.8%, P = .014), and there was moderate heterogeneity in the combination, with subgroup analysis showing that stroke type may be a source of heterogeneity and the risk of death from ischemic stroke: OR 1.23, 95% CI: 1.17-1.29, I2 = 45.0%, P = .191 and the risk of death from both types of stroke: OR 1.12, 95% CI: 1.07-1.18, I2 =18.9%, P = .291. CONCLUSION: COPD is an independent risk factor for stroke. The risk of stroke is significantly increased, especially during AECOPD. In addition, the association between COPD and short-term death in stroke patients is insignificant, while it is more associated with fatal events in the long-term prognosis.

Association between diabetes and venous thromboembolism: A systematic review and meta-analysis.

BACKGROUND: Diabetes mellitus (DM) plays a vital role in the development of cardiovascular disease. However, its association with venous thromboembolism (VTE) remains unclear, for the published study results are conflicting. We performed a meta-analysis of published cohort studies and case-control studies to assess the role of DM in the formation and prognosis of VTE. METHODS: PubMed and EMBASE databases were searched for articles from the database's establishment until September 15, 2022. Of the 15,754 publications retrieved, 50 studies were identified that met the selection criteria. The New castle-Ottawa Scale was used to evaluate the quality of the literature. Pooled odds ratios (ORs) and 95% confidence intervals were calculated using fixed- or random-effect models. RESULTS: We combined OR using a random-effects or fixed-effects model: patients with DM had an increased risk of VTE (OR 1.27, 95% confidence interval [CI]: 1.15-1.41), which still showed a partial association in studies adjusted by confounding factors (OR 1.20, 95% CI: 1.07-1.35). DM was not significantly associated with VTE when analyzed in studies adjusted by body mass index (OR 1.04, 95% CI: 0.94-1.15). VTE patients with DM had a higher risk of short-term and long-term mortality than those without DM (OR 1.58 [95% CI: 1.26-1.99] for long-term mortality and OR 1.20 [95% CI: 1.19-1.21] for short-term mortality). CONCLUSION: There was no significant association between DM and VTE risk, and body mass index may be a significant confounding factor between DM and VTE risk. However, DM can still lead to an increased risk of long-term and short-term mortality in patients with VTE.

Association between thyroid dysfunction and venous thromboembolism: A systematic review and meta-analysis.

BACKGROUND: Thyroid dysfunction plays an important role in the development of cardiovascular disease. However, its relationship with venous thromboembolism (VTE) remains unclear. We performed a meta-analysis of published cohort and case-control studies to investigate the association between thyroid dysfunction and VTE comprehensively. METHODS: Three reviewers independently searched EMbase, PubMed, China national knowledge infrastructure, and Cochrane Library databases for relevant articles from the time of database establishment to 01 October 2022 and identified all studies on thyroid dysfunction and VTE as studies of interest. Of the 2418 publications retrieved, we identified 10 articles with 15 studies that met our selection criteria. Pooled ORs and 95% confidence intervals were calculated using fixed- or random-effect models. RESULTS: We pooled 8 studies by a fixed-effect model, which suggested an increased risk of VTE in patients with (subclinical) hyperthyroidism (OR 1.33, 95% CI: 1.29-1.38). In the other 7 studies on patients with (subclinical) hypothyroidism, the risk was similarly increased when pooled by a random-effect model (OR 1.52, 95% CI: 1.23-1.89). After sensitivity analysis and risk of bias analysis, the risk of VTE was still increased in both (subclinical) hyperthyroidism (OR 1.322, 95% CI: 1.278-1.368) and (subclinical) hypothyroidism (OR 1.74, 95% CI: 1.41-2.16). CONCLUSION: Patients with thyroid dysfunction have an increased risk of VTE. Therefore, it is recommended to perform thyroid function screening routinely in patients at high risk of VTE.

Association of red blood cell distribution width to albumin ratio with the prognosis of acute severe pulmonary embolism: A cohort study.

Red blood cell distribution width (RDW) to human serum albumin (ALB) ratio (RDW/ALB Ratio, RAR) is a prognostic factor for adverse outcomes in different disease populations. However, the relationship between RAR and pulmonary embolism outcomes remains unclear. Therefore, this study set out to investigate the association between RAR and the risk of all-cause death in acute pulmonary embolism (APE) patients admitted to the intensive care unit (ICU). This is a retrospective study based on the MIMIC-IV database. The primary outcome was all-cause mortality among patients with APE (in-hospital and 1-year mortality). The relationship between RAR and all-cause mortality was assessed using Cox regression analysis. The survival curve was drawn to evaluate the predictive value of RAR for patient mortality. Correlations and threshold effects between RAR and all-cause mortality were analyzed using the generalized additive model (GAM). The study included 773 patients, and fully adjusted Cox regression models showed that RAR was associated with higher all-cause mortality in the hospital and one year later (all P < .05). In the GAM, the relationship between RAR and all-cause mortality was shown to be nonlinear, with a positive association between RAR and all-cause mortality in APE patients when RAR values were at low to moderate levels. This study revealed a significant association between RAR and the risk of all-cause day death in patients with pulmonary embolism. Higher RAR value was associated with increased in-hospital mortality and 1-year mortality.