Anatomic distribution of lower extremity deep venous thrombosis is associated with an increased risk of pulmonary embolism: A 10-year retrospective analysis

Prognostic Nutritional Index as a Potential Biomarker for the Risk of Lower Extremity Deep Venous Thrombosis: A Large Retrospective Study

BACKGROUND

Prognostic nutritional index (PNI) has recently been identified as a novel marker of nutritional status. However, existing evidences on the association between PNI and the risk of lower extremity deep venous thrombosis (LEDVT) are limited and conflicting.

OBJECTIVE

To determine the association between PNI and the risk of LEDVT, and further evaluate its diagnostic value.

METHODS

Over a 10-year period (2012-2022), a total of 12790 patients who underwent compression ultrasonography examinations were consecutively included, and 1519 (11.9%) LEDVT events occurred. Multivariate logistic regression analysis was used to investigate the association, and receiver operating characteristic (ROC) curve was constructed to evaluate its diagnostic performance.

RESULTS

After full adjustment, patients in third quartile (odds ratio [OR] = 1.486, 95% confidence interval [CI]: 1.205-1.832), second quartile (OR = 2.436, 95% CI: 1.993-2.978) and first quartile (OR = 3.422, 95% CI: 2.791-4.195) of PNI were at higher risk of LEDVT compared with those in fourth quartile, and the test for trend was significant. Consistently, each unit decrease in PNI was associated with a 6.0 % (95% CI: 1.052-1.069) increased risk of LEDVT. Moreover, adding PNI to a base model improved the area under the curve (AUC) from 0.721 (95% CI: 0.709-0.734) to 0.746 (95% CI: 0.734-0.758).

CONCLUSION

PNI is inversely associated with the risk of LEDVT, and provides significant incremental diagnostic value for the identification of LEDVT events. These findings suggest that PNI may be a potential biomarker to help clinicians identify patients at risk of thrombosis and make clinical decisions timely.

Relationship Between the Systemic Immune-Inflammation Index and Deep Venous Thrombosis After Spinal Cord Injury: A Cross-Sectional Study

Purpose

To explore the relationship between the systemic immune-inflammation index (SII) and deep venous thrombosis (DVT) in patients with spinal cord injury (SCI).

Methods

This cross-sectional study included data from 382 participants with SCI. The SII was calculated for all participants. Logistic regression, smooth curve fitting, interaction effects were used to substantiate the research objectives.

Results

The overall prevalence of DVT was 23.1% (22.4% among males, 25.6% among females). A positive association between SII and the risk for DVT was observed (odds ratio 1.39 [95% CI 1.03-1.87]; P=0.032), independent of confounders. Similar patterns of association were observed in the subgroup analysis (P values for interaction, all >0.05). Further sensitivity analyses provided confidence that the results were reliable and unlikely to be substantially altered by unmeasured confounding factors.

Conclusion

Results of the present suggest that higher SII may be associated with DVT in patients with SCI, highlighting a potential link between SII and DVT. These findings underscore the potential of SII as a valuable predictive biomarker for DVT, thus offering a promising avenue for early detection and intervention strategies in patients with SCI.

Epidemiology of deep vein thrombosis

Deep vein thrombosis (DVT) is a cause of considerable morbidity worldwide. It is a common clinical disease in the daily practice of several medical disciplines including general medicine, angiology, and internal medicine, as well as of interest to public health because of its preventability and its sensitivity to secular changes in the distribution of population risk factors. In this review we present a comprehensive overview of the epidemiological features of DVT, including incidence and risk factors. Additionally, we give an overview of the burden that DVT poses on modern health care systems.

Changes in lung mechanics and ventilation-perfusion match: comparison of pulmonary air- and thromboembolism in rats

BACKGROUND

Pulmonary air embolism (AE) and thromboembolism lead to severe ventilation-perfusion defects. The spatial distribution of pulmonary perfusion dysfunctions differs substantially in the two pulmonary embolism pathologies, and the effects on respiratory mechanics, gas exchange, and ventilation-perfusion match have not been compared within a study. Therefore, we compared changes in indices reflecting airway and respiratory tissue mechanics, gas exchange, and capnography when pulmonary embolism was induced by venous injection of air as a model of gas embolism or by clamping the main pulmonary artery to mimic severe thromboembolism.

METHODS

Anesthetized and mechanically ventilated rats (n = 9) were measured under baseline conditions after inducing pulmonary AE by injecting 0.1 mL air into the femoral vein and after occluding the left pulmonary artery (LPAO). Changes in mechanical parameters were assessed by forced oscillations to measure airway resistance, lung tissue damping, and elastance. The arterial partial pressures of oxygen (PaO2) and carbon dioxide (PaCO2) were determined by blood gas analyses. Gas exchange indices were also assessed by measuring end-tidal CO2 concentration (ETCO2), shape factors, and dead space parameters by volumetric capnography.

RESULTS

In the presence of a uniform decrease in ETCO2 in the two embolism models, marked elevations in the bronchial tone and compromised lung tissue mechanics were noted after LPAO, whereas AE did not affect lung mechanics. Conversely, only AE deteriorated PaO2, and PaCO2, while LPAO did not affect these outcomes. Neither AE nor LPAO caused changes in the anatomical or physiological dead space, while both embolism models resulted in elevated alveolar dead space indices incorporating intrapulmonary shunting.

CONCLUSIONS

Our findings indicate that severe focal hypocapnia following LPAO triggers bronchoconstriction redirecting airflow to well-perfused lung areas, thereby maintaining normal oxygenation, and the CO2 elimination ability of the lungs. However, hypocapnia in diffuse pulmonary perfusion after AE may not reach the threshold level to induce lung mechanical changes; thus, the compensatory mechanisms to match ventilation to perfusion are activated less effectively.

Association between systemic immune-inflammation index and risk of lower extremity deep venous thrombosis in hospitalized patients: a 10-year retrospective analysis

Background

The systemic immune-inflammation index (SII), as a novel inflammatory biomarker, has recently attracted attention in cardiovascular disease research. However, the relationship between SII and risk of lower extremity deep venous thrombosis (LEDVT) remains unclear to date. Thus, this study aimed to explore the association in a large sample over a 10-year period (2012-2022).

Methods

All hospitalized patients undergoing lower extremity compression ultrasonography (CUS) examination were consecutively screened by searching our hospital information system database. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value for high and low SII group. Multivariate logistic regression analyses were performed to investigate the relationship between SII and LEDVT risk. Propensity score matching (PSM), subgroup and sensitivity analyses were also conducted. Moreover, restricted cubic spline (RCS) regression and two-piecewise linear regression models were used to assess the dose-response relationship between natural log transformed SII [ln(SII)] and risk of LEDVT.

Results

A total of 16,725 consecutive hospitalized patients were included, and 1,962 LEDVT events occurred. After adjusting for confounding factors, patients in the high SII group (≥ 574.2 × 10⁹/L) showed a 1.740-fold risk of LEDVT (95% CI: 1.546-1.959, P < 0.001), and elevated ln(SII) was associated with a 36.1% increased risk of LEDVT (95% CI: 1.278-1.449, P < 0.001). PSM, subgroup and sensitivity analyses confirmed the robustness of the association. A non-linear relationship was observed (P _non-linear< 0.001), with a threshold value of 5.6 × 10⁹/L for all LEDVT events. Above the threshold, each unit increase in ln(SII) had a 1.369-fold higher risk of LEDVT (95% CI: 1.271-1.475, P < 0.001). The association also existed in both distal and proximal LEDVT.

Conclusion

Elevated SII is significantly associated with an increased risk of LEDVT in hospitalized patients. Additionally, the association is non-linear and exhibit a threshold effect.