Adam Kern1,2, Robert J Gil3,4, Krystian Bojko2, Ewa Sienkiewicz2, Beata Januszko-Giergielewicz1,5, Jerzy Górny2, Jacek Bil3. 1. Faculty of Medical Sciences, University of Warmia and Mazury, Olsztyn, Poland. 2. Department of Cardiology, Regional Specialist Hospital in Olsztyn, Olsztyn, Poland. 3. Department of Invasive Cardiology, Central Clinical Hospital of the Ministry of Interior, Warsaw, Poland. 4. Institute of Experimental and Clinical Medicine, Polish Academy of Science, Warsaw, Poland. 5. Department of Transplantology and General Surgery, Regional Specialist Hospital in Olsztyn, Olsztyn, Poland.
Abstract
BACKGROUND: Mean platelet volume (MPV) was proved to be a reliable prognostic factor in cardiac patients. However, platelet distribution width (PDW) was disclosed to be more specific marker of platelet reactivity. The aim of study was to evaluate whether baseline PDW value can predict the outcome in patients undergoing percutaneous coronary interventions (PCI) with drug-eluting stent implantation within coronary bifurcation lesions. MATERIALS AND METHODS: It was a two-centre observational study, which included patients who underwent PCI within bifurcation lesions between January 2014 and December 2014. Thrombocytopenia below 100 000/μL and STEMI were the exclusion criteria. Analysed data came entirely from in-hospital records and information obtained from the 12-month telephone follow-up. RESULTS: We included 269 patients. Mean PDW value was 13·4 ± 2·5 fL, whereas median was 13 (Q1 < 11·6 fL, Q2 11·6-13 fL, Q3 13-14·8 fL and Q4 > 14·8 fL). We found strong correlation between PDW and MPV (r = 0·96, P < 0·001), but no correlation was revealed between red blood cell distribution width (RDW) and PDW (r = 0·003, P = 0·95) as well as RDW and MPV (r = 0·0018, P = 0·98). Receiver operating characteristics (ROC) curve showed that PDW for cutoff 15·8% can predict MACE rate with sensitivity of 79% and specificity of 47% (area under curve - AUC 0·654; P = 0·01). A ROC curve for PDW categorized by 1-year TLR rate was described by optimal cutoff 16·3%, with sensitivity 69% and specificity 54% (AUC 0·697; P = 0·0015). CONCLUSIONS: PDW is an affordable and reliable predictor of 1-year MACE and TLR rate after PCI within coronary bifurcation lesions.
BACKGROUND: Mean platelet volume (MPV) was proved to be a reliable prognostic factor in cardiac patients. However, platelet distribution width (PDW) was disclosed to be more specific marker of platelet reactivity. The aim of study was to evaluate whether baseline PDW value can predict the outcome in patients undergoing percutaneous coronary interventions (PCI) with drug-eluting stent implantation within coronary bifurcation lesions. MATERIALS AND METHODS: It was a two-centre observational study, which included patients who underwent PCI within bifurcation lesions between January 2014 and December 2014. Thrombocytopenia below 100 000/μL and STEMI were the exclusion criteria. Analysed data came entirely from in-hospital records and information obtained from the 12-month telephone follow-up. RESULTS: We included 269 patients. Mean PDW value was 13·4 ± 2·5 fL, whereas median was 13 (Q1 < 11·6 fL, Q2 11·6-13 fL, Q3 13-14·8 fL and Q4 > 14·8 fL). We found strong correlation between PDW and MPV (r = 0·96, P < 0·001), but no correlation was revealed between red blood cell distribution width (RDW) and PDW (r = 0·003, P = 0·95) as well as RDW and MPV (r = 0·0018, P = 0·98). Receiver operating characteristics (ROC) curve showed that PDW for cutoff 15·8% can predict MACE rate with sensitivity of 79% and specificity of 47% (area under curve - AUC 0·654; P = 0·01). A ROC curve for PDW categorized by 1-year TLR rate was described by optimal cutoff 16·3%, with sensitivity 69% and specificity 54% (AUC 0·697; P = 0·0015). CONCLUSIONS: PDW is an affordable and reliable predictor of 1-year MACE and TLR rate after PCI within coronary bifurcation lesions.
Authors: Jacek Bil; Natalia Pietraszek; Robert J Gil; Leszek Gromadziński; Dariusz Onichimowski; Rakesh Jalali; Adam Kern Journal: Front Cardiovasc Med Date: 2022-06-30