Repository logo

Browsing by Author "Domingues-Monteiro, Diogo"

Now showing 1 - 2 of 2
  • Contralateral carotid stenosis is a predictor of long-term adverse events in carotid endarterectomy
    Publication . Moreira, Rita; Duarte-Gamas, Luís; Pereira-Macedo, Juliana; Pereira-Neves, António; Domingues-Monteiro, Diogo; Jácome, Filipa; Andrade, José P.; Marreiros, Ana; Rocha-Neves, João
    Contralateral carotid stenosis (cICS) has been described as a perioperative predictor of mortality after carotid endarterectomy (CEA). However, its predictive value on long-term cardiovascular events remains controversial. The study aims to assess the potential role of cICS as a long-term predictor of major adverse cardiovascular events (MACE) in patients who underwent CEA. From January 2012 to July 2020, patients undergoing CEA under regional anesthesia for carotid stenosis in a tertiary care and referral center were eligible from a prospective database, and a post hoc analysis was performed. The primary outcome consisted in the occurrence of long-term MACE. Secondary outcomes included all-cause mortality, stroke, myocardial infarction, acute heart failure, and major adverse limb events. A total of 192 patients were enrolled. With a median 50 months follow-up, chronic kidney disease (CKD) (mean survival time (MST) 51.7 vs. 103.3, P < 0.010) and peripheral artery disease (PAD) (MST 75.1 vs. 90.3, P = 0.001) were associated with decreased survival time. After propensity score matching (PSM), CKD (MST 49.1 vs. 106.0, P = 0.001) and PAD (MST 75.7 vs. 94.0, P = 0.001) maintained this association. On multivariate Cox regression analysis, contralateral stenosis was associated with higher MACE (hazard ratio (HR) = 2.035; 95% CI: 1.113-3.722, P = 0.021 and all-cause mortality (HR = 2.564; 95% CI: 1.276-5,152 P = 0.008). After PSM, only all-cause mortality (HR 2.323; 95% CI: 0.993-5.431, P = 0.052) maintained a significant association with cICS. On multivariable analysis, cICS (aHR 2.367; 95% CI: 1.174-4.771, P = 0.016), age (aHR 1.039, 95% CI: 1.008-1.070), CKD (aHR 2.803; 95% CI: 1.409-5.575, P = 0.003) and PAD (aHR 3.225, 95% CI: 1.695-6.137, P < 0.001) were independently associated with increased all-cause mortality. Contrary to MACE, cICS is a strong predictor of long-term all-cause mortality after CEA. However, MACE risk may compromise CEA benefits by other competitive events. Therefore, further studies are needed to establish the role of cICS on postoperative events and on patients' specific assessments in order to determine the best medical treatment and easy access to surgical intervention.
    2022Journal article Restricted Show more
  • Mean platelet volume predicts restenosis after carotid endarterectomy
    Publication . Pereira-Neves, António; Saramago, Sean; Duarte-Gamas, Luís; Domingues-Monteiro, Diogo; Fragão-Marques, Mariana; Marques-Vieira, Mário; Andrade, José P.; Pais, Sandra; Rocha-Neves, João
    Background: Carotid restenosis following carotid endarterectomy (CEA) has a cumulative risk at 5-years up to 32%, which may impact the well-being of patients following CEA. Haematological parameters in the standard complete blood cell count (CBC) are emerging as potential biomarkers, but their application in CEA is scarce. The primary aim of this study was to investigate haematological markers for restenosis following CEA. The secondary aim was to characterize clinical risk factors for restenosis. Methods: From January 2012 to January 2019, 151 patients who underwent CEA under regional anaesthesia due to carotid stenosis were selected from a prospectively maintained cohort database. Patients were included if a preoperative CBC was available in the 2 weeks preceding CEA. Multivariable analysis was performed alongside propensity score matching (PSM) analysis, using the preoperative CEA parameters, to reduce confounding factors between categories. Results: The study group comprised 28 patients who developed carotid restenosis. The remaining 123 patients without restenosis composed the control group. Mean age of the patients did not differ significantly between groups (70.25 +/- 8.05 vs. 70.32 +/- 9.61 YO, P = 0.973), neither did gender (male gender 89.3% vs. 78.9%, P = 0.206). Regarding haematological parameters, only MPV remained statistically significant within multivariable analysis (1.855, aOR [1.174-2.931], P = 0.008), a result supported by PSM analysis (2.072, aOR [1.036-4.147], P = 0.042). Conclusions: MPV was able to predict restenosis 2 years after CEA. Thus, MPV can be incorporated into score calculations to identify patients at greater risk of restenosis, who could benefit from specific monitoring during follow-up. While results are promising, more research is necessary to corroborate them.
    2022Journal article Restricted Show more