Dataset Information

The number of stents was an independent risk of stent restenosis in patients undergoing percutaneous coronary intervention.

ABSTRACT: Percutaneous coronary intervention (PCI) is one of the most effective therapies for coronary artery disease, but stent restenosis remains an important clinical challenge. The studies about the independent effect of the number of stents on stent restenosis were limited.The purpose was to identify the independent effect of the number of stents on stent restenosis.A retrospective cohort study of data reuse.From July 2009 to August 2011, a total of 2338 cases met the inclusion and exclusion criteria.The univariate analysis showed that the number of stents was a risk of stent restenosis, the OR value was 1.30 (95% CI:1.15 to 1.47, P?

SUBMITTER: Tang L

PROVIDER: S-EPMC6922542 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The number of stents was an independent risk of stent restenosis in patients undergoing percutaneous coronary intervention.

Tang Long L Cui Qian-Wei QW Liu Dan-Ping DP Fu Ying-Ying YY

Medicine 20191201 50

Percutaneous coronary intervention (PCI) is one of the most effective therapies for coronary artery disease, but stent restenosis remains an important clinical challenge. The studies about the independent effect of the number of stents on stent restenosis were limited.The purpose was to identify the independent effect of the number of stents on stent restenosis.A retrospective cohort study of data reuse.From July 2009 to August 2011, a total of 2338 cases met the inclusion and exclusion criteria ...[more]

PMID: 31852115

Similar Datasets

Project description:BackgroundThis study aimed to develop and validate a nomogram to predict probability of in-stent restenosis (ISR) in patients undergoing percutaneous coronary intervention (PCI).MethodsPatients undergoing PCI with drug-eluting stents between July 2009 and August 2011 were retrieved from a cohort study in a high-volume PCI center, and further randomly assigned to training and validation sets. The least absolute shrinkage and selection operator (LASSO) regression model was used to screen out significant features for construction of nomogram. Multivariable logistic regression analysis was applied to build a nomogram-based predicting model incorporating the variables selected in the LASSO regression model. The area under the curve (AUC) of the receiver operating characteristics (ROC), calibration plot and decision curve analysis (DCA) were performed to estimate the discrimination, calibration and utility of the nomogram model respectively.ResultsA total of 463 patients with DES implantation were enrolled and randomized in the development and validation sets. The predication nomogram was constructed with five risk factors including prior PCI, hyperglycemia, stents in left anterior descending artery (LAD), stent type, and absence of clopidogrel, which proved reliable for quantifying risks of ISR for patients with stent implantation. The AUC of development and validation set were 0.706 and 0.662, respectively, indicating that the prediction model displayed moderate discrimination capacity to predict restenosis. The high quality of calibration plots in both datasets demonstrated strong concordance performance of the nomogram model. Moreover, DCA showed that the nomogram was clinically useful when intervention was decided at the possibility threshold of 9%, indicating good utility for clinical decision-making.ConclusionsThe individualized prediction nomogram incorporating 5 commonly clinical and angiographic characteristics for patients undergoing PCI can be conveniently used to facilitate early identification and improved screening of patients at higher risk of ISR.

Project description:BackgroundThe triglyceride-glucose (TyG) index is an alternative marker of insulin resistance (IR) and is closely associated with the prevalence and prognosis of atherosclerotic cardiovascular disease (ASCVD). However, the association between the TyG index and in-stent restenosis (ISR) after drug-eluting stent (DES) implantation in patients with acute coronary syndrome (ACS) remains unknown.MethodsThe present study retrospectively recruited patients who were admitted for ACS and underwent coronary angiography at 6 to 24 months after successful DES-based percutaneous coronary intervention (PCI). In addition, we calculated the TyG index with the following formula: Ln(fasting triglyceride [mg/dL] × fasting blood glucose [mg/dL]/2) and divided patients into 3 groups according to the tertile of the TyG index. Most importantly, multivariate logistic regression analysis models were also constructed to assess the association between the TyG index and DES-ISR in patients with ACS.ResultsA total of 1574 patients with ACS (58.4 ± 9.4 years, 77.4% male) were included in this study. At the median follow-up time of 12 (9-14) months, the prevalence of DES-ISR increased stepwise with the increasing tertile of the TyG index (11.6% vs 17.3% vs 19.4%, p = 0.002), and the TyG index was also higher in the ISR group than in the non-ISR group (9.00 ± 0.58 vs 8.84 ± 0.61, p < 0.001). In addition, the positive association between the TyG index and the prevalence of DES-ISR was also determined in the fully adjusted model (TyG, per 1-unit increase: OR 1.424, 95% CI 1.116 to 1.818, p = 0.005; tertile of TyG, the OR (95% CI) values for tertile 2 and tertile 3 were 1.454 (1.013 to 2.087) and 1.634 (1.125 to 2.374), respectively, with tertile 1 as a reference). The association was also reflected in most subgroups. Moreover, adding the TyG index to the predictive model for DES-ISR in patients with ACS could contribute to an increase in C-statistics (0.675 vs 0.659, p = 0.010), categorical net reclassification improvement (0.090, p < 0.001), and integrated discrimination improvement (0.004, p = 0.040).ConclusionAn elevated TyG index was independently and positively associated with DES-ISR in patients with ACS who underwent PCI. However, the incremental predictive value of the TyG index for DES-ISR was slight. To further confirm our findings, future studies are needed.

Dataset Information

The number of stents was an independent risk of stent restenosis in patients undergoing percutaneous coronary intervention.

Publications

The number of stents was an independent risk of stent restenosis in patients undergoing percutaneous coronary intervention.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets