Impact of chronic kidney disease on long-term outcomes for coronary in-stent restenosis after drug-coated balloon angioplasty

Stent Underexpansion Is an Underestimated Cause of Intrastent Restenosis: Insights From RESTO Registry

BACKGROUND

Despite improvement in devices, in-stent restenosis remains a frequent and challenging complication of percutaneous coronary interventions.

METHODS AND RESULTS

The RESTO (Morphological Parameters of In-Stent Restenosis Assessed and Identified by OCT [Optical Coherence Tomography]; study NCT04268875) was a prospective multicenter registry including patients presenting with coronary syndromes related to in-stent restenosis. All patients underwent preintervention OCT analysis, which led to analysis of in-stent restenosis phenotype, number of strut layers, and presence of stent underexpansion. The primary end point was the in-stent restenosis type according to the OCT morphological classification. The 1-year incidence of target vessel failure (a composite of death from cardiac causes, target-vessel myocardial infarction, or ischemia-driven target-vessel revascularization) was assessed. The study included 297 patients. The culprit stent was a drug-eluting stent in 74.2% of cases. OCT analysis revealed the presence of neoatherosclerosis in 57% (52% calcified), neointimal hyperplasia in 43% (58% homogeneous), stent underexpansion (minimal stent area <4.5 mm2) in 43%, and multiple stent layers in 30%. The prepercutaneous coronary intervention OCT analysis modified the operator's strategy for management in 30% of cases. Treatment involved drug-eluting stent implantation in 61.6% and drug-eluting balloon angioplasty in 36.1% of cases with only 63.2% optimal results. The 1-year target vessel failure incidence was 11% (95% CI, 9%-13%). Residual postpercutaneous coronary intervention stent underexpansion was associated with significantly higher target vessel failure incidence (19% [95% CI, 14%-24%] versus 7% [95% CI, 5-9], P=0.01).

CONCLUSIONS

OCT identified neoatherosclerosis and neointimal hyperplasia in comparable proportions. Stent underexpansion was frequent and favored subsequent adverse clinical outcomes.

A risk score for predicting in-stent restenosis in patients with premature acute myocardial infarction undergoing percutaneous coronary intervention with drug-eluting stent

Background

This study aimed at developing and validating a risk score to predict in-stent restenosis (ISR) in patients with premature acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) with drug-eluting stent (DES).

Methods

This was a two-center retrospective study. A total of 2185 patients firstly diagnosed with premature AMI (age ≥18 years and <55 years in men, <65 years in women) from Xinjiang cohort were retrospectively analyzed. After filtering by exclusion criteria, patients were randomly divided into training cohort (n = 434) and internal validation cohort (n = 186) at a 7:3 ratio. Several candidate variables associated with ISR in the training cohort were assessed by the least absolute shrinkage and selection operator and logistic regression analysis. The ISR risk nomogram score based on the superior predictors was finally developed, and then validated in the internal validation cohort and in an independent Chengdu external validation cohort (n = 192). The higher total nomogram score, the greater the ISR risk.

Results

The eight variables in the final risk nomogram score, cardiovascular-kidney-metabolic (CKM) score included age, diabetes mellitus (DM), body mass index (BMI), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDLC), estimated glomerular filtration rate (eGFR), stent in left anterior descending coronary artery, minimum stent diameter <3 mm. The areas under the curve (AUC) and C-statistics [training cohort: 0.834 (95%CI: 0.787 to 0.882); internal validation cohort: 0.852 (95%CI: 0.784 to 0.921); Chengdu external validation cohort: 0.787 (95%CI: 0.692 to 0.882), respectively)] demonstrated the good discrimination of the CKM score. The Hosmer-Lemeshow test (χ2 = 7.86, P = 0.448; χ2 = 5.17, P = 0.740; χ2 = 6.35, P = 0.608, respectively) and the calibration curve confirmed the good calibration of the CKM score. Decision curve analysis (DCA) testified the clinical net benefit of the CKM score in the training and validation cohort.

Conclusion

This study provided a well-developed and validated risk nomogram score, the CKM score to predict ISR in patients with premature AMI undergoing PCI with DES. Given that these variables are readily available and practical, the CKM score should be widely adopted for individualized assessment and management of premature AMI.

A systematic review and bioinformatic study on clinical, paraclinical, and genetic factors predisposing to stent restenosis following percutaneous coronary intervention

BACKGROUND

Stent restenosis is a relatively common phenomenon among patients with coronary heart disease undergoing percutaneous coronary intervention (PCI). It seems that a set of clinical, laboratory, and even genetic factors make people susceptible to such a phenomenon and in fact, this is multi-factorial. We aimed to first determine the underlying clinical and laboratory risk factors for the occurrence of stent re-stenosis after PCI based on a systematic review study, and after that, through a bioinformatics study, to evaluate the related genes and microRNAs with the occurrence of stent re-stenosis.

MAIN TEXT

In the first step, the manuscript databases including Medline, Web of Knowledge, Google Scholar, Scopus, and Cochrane were deeply searched by the two blinded investigators for all eligible studies based on the considered keywords to introduce clinical and laboratory determinants of stent re-stenosis. In the bioinformatic phase, and following a review of the literature to identify genes and microRNAs involved in restenosis, the interaction of each gene with other genes associated with stent re-stenosis was determined by GeneMANIA network analysis and Cytoscape software. Overall, 67 articles (including 40,789 patients) on clinical and biochemical predictors for stent restenosis and 25 articles on genetic determinants of this event were eligible for the final analysis. The predictors for this event were categorized into four subgroups patient-based parameters including traditional cardiovascular risk profiles, stent-based parameters including type and diametric characteristics of the stents used, coronary lesion-based parameters including several two target lesions and coronary involvement severity and laboratory-based parameters particularly related to activation of inflammatory processes. In the bioinformatic phase, we uncovered 42 genes that have been described to be involved in such a phenomenon considering a special position for genes encoding inflammatory cytokines. Also, 12 microRNAs have been pointed to be involved in targeting genes involved in stent re-stenosis.

CONCLUSIONS

The incidence of stent re-stenosis will be the result of a complex interaction of clinical risk factors, laboratory factors mostly related to the activation of inflammatory processes, and a complex network of gene-to-gene interactions.

Prediction of Outcomes Through Cystatin C and cTnI in Elderly Type 2 Myocardial Infarction Patients

Background

Chronic kidney disease (CKD) and coronary artery disease (CAD) are strongly associated. Cystatin C (Cys C) is a more sensitive marker of early renal insufficiency. This study aimed to evaluate the prognostic implications of combined of Cys C and cardiac troponin I (cTnI) on 90-day outcomes in elderly patients with type 2 myocardial infarction (MI).

Methods

The data of consecutive type 2 MI patients aged 80 years and older who received Cys C and cTnI measurements within 24 h of admission were retrospectively reviewed. The endpoint was a 90-day all-cause and cardiac mortality.

Results

A total of 4326 patients were included. During the 90-day follow-up period, a higher all-cause and cardiac mortality was observed in patients with Cys C ≥ 1.49mg/L than in patients with Cys C < 1.49 mg/L (P <0.001). After the multivariate logistic regression adjustments, the higher CysC and cTnI levels remained independent predictors of the 90-day all-cause mortality and cardiac mortality. Moreover, the Kaplan-Meier all-cause and cardiac mortality event-free survival curves showed that the patients with the presence of elevated levels of both Cys C and cTnI had a significantly increased risk than those with Cys C or cTnI alone.

Conclusion

Elevated Cys C level is an independent risk factor for all-cause and cardiac mortality in the elderly type 2 MI population. The predictive ability of the combined use of Cys C and cTnI in elderly type 2 MI patients is stronger than that of Cys C or cTnI alone.

Efficacy and Prediction Model Construction of Drug-Coated Balloon Combined with Cutting Balloon Angioplasty in the Treatment of Drug-Eluting Stent In-Stent Restenosis

Objective

To investigate the efficacy of drug-coated balloon (DCB) combined with cutting balloon angioplasty (CBA) in the treatment of drug-eluting stent in-stent restenosis (DES-ISR) and to construct a predictive model for the occurrence of DES-ISR.

Methods

According to the criteria of diagnosis, inclusion, and exclusion, DES-ISR patients who were treated in the outpatient and inpatient departments of cardiovascular medicine of Second People's Hospital of Guangdong Province from July 2021 to December 2021 were included. A total of 72 cases were planned to be enrolled, including 36 cases in the control group and 36 cases in the experimental group. The control group was treated with DCB, and the experimental group was combined with CBA. The treatment success rate, coronary angiography results before and after surgery, and the incidence of major adverse cardiovascular events during the follow-up period were compared between the two groups. Seventy-two DES-ISR patients were divided into ISR group and 59 non-ISR patients were divided into non-ISR group. The clinical data of the two groups were compared to analyze the risk factors affecting the occurrence of DES-ISR, and the prediction model was established.

Results

The surgical success rate of the experimental group was 94.44% (34/36), which was higher than the 77.78% (28/36) of the control group (P < 0.05). The minimum lumen diameter (MLD) of the experimental group 6 months after operation was greater than that of the control group, the late lumen loss (LL) and lumen stenosis rate were higher than those in the control group, and the incidence of major adverse cardiovascular events was lower than that in the control group (P < 0.05). In the ISR group, the proportion of patients with abnormal BMI, smoking, hypertension, diabetes, and family history of coronary heart disease and multivessel coronary artery disease was higher than that in the non-ISR group, the degree of stenosis target lesion was higher than that in the non-ISR group, the diameter of target lesion and stent diameter were smaller than those in the non-ISR group, and the length of target lesion and stent length were longer than those in the non-ISR group; the number of stents was more than that in the non-ISR group (P < 0.05). Combined hypertension, multiple coronary artery lesions, stenosis target lesion degree ≥85.05%, and target lesion length ≥36.88 mm were risk factors for DES-ISR, and target lesion diameter ≥3.15 mm and stent diameter ≥3.15 mm were protective factors (P < 0.05). The prediction model of DES-ISR was obtained by multiple logistic regression analysis, P = 1[1 + e (2.281 + 3.321Xhypertension + 3.427Xumber of arterial lesions + 3.359Xstenosis target lesion degree - 3.143Xtarget lesion diameter + 0.650Xtarget lesion length - 10.159Xstent diameter)]. The Hosmer-Lemeshow test showed that Hosmer-Lemeshow χ 2 = 0.925, P =0.413; the ROC curve analysis showed that the AUC of the prediction model for the occurrence of DES-ISR was 0.924, the SE value was 0.022, and the 95% CI was 0.880-0.967.

Conclusion

DCB combined with CBA has good clinical efficacy in the treatment of DES-ISR, which can reduce the rate of lumen stenosis and the incidence of adverse cardiovascular events. The prediction model established according to risk factors has high predictive value for the occurrence of DES-ISR.