Diabetes Mellitus Is Still a Strong Predictor of Periprocedural Outcomes of Primary Percutaneous Coronary Interventions in Patients Presenting with ST-Segment Elevation Myocardial Infarction (from the ORPKI Polish National Registry).
Artur DziewierzBarbara ZdzierakKrzysztof P MalinowskiZbigniew SiudakWojciech ZasadaTomasz TokarekMichał ZabojszczMagdalena Dolecka-ŚlusarczykDariusz DudekStanisław BartuśAndrzej SurdackiTomasz RakowskiPublished in: Journal of clinical medicine (2022)
The impact of diabetes mellitus (DM) on outcomes of patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI) was confirmed by several studies. However, it is unclear whether this effect is still present in large groups of unselected patients undergoing up-to-date treatment. Thus, we sought to assess the impact of DM on periprocedural outcomes of primary PCI in STEMI using data from the Polish National Registry of PCI. Data on 150,782 STEMI patients undergoing primary PCI were collected. Of them, 26,360 (17.5%) patients had DM. Patients with DM were higher-risk individuals who experienced longer reperfusion delays and were less likely to have closed infarct-related artery at baseline (TIMI 0 + 1 flow: 73.2% vs. 72.0%; p < 0.0001) and achieve optimal reperfusion after PCI (TIMI 3 flow: 91.8% vs. 88.5%; p < 0.0001). The periprocedural mortality (1.1% vs. 1.9%; p < 0.0001) was higher in patients with DM and DM was identified as an independent predictor of periprocedural death. In conclusion, despite continuous progress in STEMI treatment, DM remains a strong predictor of periprocedural mortality. However, this detrimental effect of DM may be partially explained by the overall higher risk profile of diabetic patients.
Keyphrases
- percutaneous coronary intervention
- st segment elevation myocardial infarction
- acute myocardial infarction
- coronary artery disease
- st elevation myocardial infarction
- glycemic control
- acute coronary syndrome
- antiplatelet therapy
- coronary artery bypass grafting
- patients undergoing
- cardiovascular events
- atrial fibrillation
- coronary artery bypass
- type diabetes
- physical activity
- adipose tissue
- risk factors
- weight loss
- ejection fraction
- cardiovascular disease
- quality improvement
- newly diagnosed
- machine learning
- heart failure
- patient reported outcomes
- big data
- acute ischemic stroke
- replacement therapy
- combination therapy
- left ventricular