Precision and accuracy of risk scores for in-hospital death after percutaneous coronary intervention in the current era

2010 ◽  
Vol 75 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Sorin J. Brener ◽  
Karen D. Colombo ◽  
Salman A. Haq ◽  
Sanjay Bose ◽  
Terrence J. Sacchi
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Runzhen Chen ◽  
Chen Liu ◽  
Peng Zhou ◽  
Yu Tan ◽  
Zhaoxue Sheng ◽  
...  

Abstract Background Associations between D-dimer and outcomes of patients with acute coronary syndromes (ACS) remain controversial. This study aimed to investigate the prognostic value of D-dimer in ACS patients treated by percutaneous coronary intervention (PCI). Methods In this observational study, 3972 consecutive patients with ACS treated by PCI were retrospectively recruited. The X-tile program was used to determine the optimal D-dimer thresholds for risk stratifications. Cox regression with multiple adjustments was used for outcome analysis. Restricted cubic spline (RCS) analysis was performed to assess the dose-response association between D-dimer and outcomes. The C-index was calculated to evaluate the additional prognostic value of D-dimer when added to clinical risk factors and commonly used clinical risk scores, with internal validations using bootstrapping methods. The primary outcome was all-cause death. Results During a median follow-up of 720 days, 225 deaths occurred. Based on the thresholds generated by X-tile, ACS-PCI patients with median (420–1150 ng/mL, hazard ratio [HR]: 1.58, 95 % confidence interval [CI]: 1.14–2.20, P = 0.007) and high (≥ 1150 ng/mL, HR: 1.98, 95 % CI: 1.36–2.89, P < 0.001) levels of D-dimer showed substantially higher risk of death compared to those with low D-dimer (< 420 ng/mL). RCS analysis depicted a constant relation between D-dimer and various outcomes. The addition of D-dimer levels significantly improved risk predictions for all-cause death when combined with the fully adjusted models (C-index: 0.853 vs. 0.845, P difference = 0.021), the GRACE score (C-index: 0.826 vs. 0.814, P difference = 0.027), and the TIMI score (C-index: 0.804 vs. 0.776, P difference < 0.001). The predicted mortality at the median follow-up (two years) was 1.7 %, 5.2 %, and 10.9 % for patients with low, median, and high D-dimer, respectively, which was well matched with the observed mortality (low D-dimer group: 1.2 %, median D-dimer group: 5.2 %, and high D-dimer group: 12.6 %). Conclusions For ACS patients treated by PCI, D-dimer level was an independent predictor for adverse outcomes, and provided additional prognostic value when combined with clinical risk factors and risk scores. Risk stratifications based on D-dimer was plausible to differentiate ACS-PCI patients with higher risk of death.


BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e026683 ◽  
Author(s):  
Taku Inohara ◽  
Shun Kohsaka ◽  
Kyohei Yamaji ◽  
Hideki Ishii ◽  
Tetsuya Amano ◽  
...  

ObjectivesTo provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI).DesignA retrospective cohort study was conducted.SettingThe Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan.ParticipantsOverall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes.Main outcome measuresIn-hospital death.ResultsThe study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both ‘full’ and ‘preprocedure’ risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure.ConclusionsThese simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients’ presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.


BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e017794 ◽  
Author(s):  
Zaid Azhari ◽  
Muhammad Dzafir Ismail ◽  
Ahmad Syadi Mahmood Zuhdi ◽  
Norashikin Md Sari ◽  
Imran Zainal Abidin ◽  
...  

ObjectiveTo examine the relationship between body mass index (BMI) and outcomes after percutaneous coronary intervention (PCI) in a multiethnic South East Asian population.SettingFifteen participating cardiology centres contributed to the Malaysian National Cardiovascular Disease Database—Percutaneous Coronary Intervention (NCVD-PCI) registry.Participants28 742 patients from the NCVD-PCI registry who had their first PCI between January 2007 and December 2014 were included. Those without their BMI recorded or BMI <11 kg/m2or >70 kg/m2were excluded.Main outcome measuresIn-hospital death, major adverse cardiovascular events (MACEs), vascular complications between different BMI groups were examined. Multivariable-adjusted HRs for 1-year mortality after PCI among the BMI groups were also calculated.ResultsThe patients were divided into four groups; underweight (BMI <18.5 kg/m2), normal BMI (BMI 18.5 to <23 kg/m2), overweight (BMI 23 to <27.5 kg/m2) and obese (BMI ≥27.5 kg/m2). Comparison of their baseline characteristics showed that the obese group was younger, had lower prevalence of smoking but higher prevalence of diabetes, hypertension and dyslipidemia. There was no difference found in terms of in-hospital death, MACE and vascular complications after PCI. Multivariable Cox proportional hazard regression analysis showed that compared with normal BMI group the underweight group had a non-significant difference (HR 1.02, p=0.952), while the overweight group had significantly lower risk of 1-year mortality (HR 0.71, p=0.005). The obese group also showed lower HR but this was non-significant (HR 0.78, p=0.056).ConclusionsUsing Asian-specific BMI cut-off points, the overweight group in our study population was independently associated with lower risk of 1-year mortality after PCI compared with the normal BMI group.


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