2013
DOI: 10.1016/j.ijcard.2011.05.071
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Predicting 30-day major adverse cardiovascular events after primary percutaneous coronary intervention. The RISK-PCI score

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Cited by 30 publications
(47 citation statements)
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“…with advanced age increases the risk of early adverse outcomes in patients treated by pPCI, which is consistent with literature data [7,8,12]. Studies dealing with risk assessment and adverse events aft er pPCI using scoring systems [13][14][15][16] give age a signifi cant impact as predictor of early adverse outcome, which was confi rmed in a meta-analysis that dealt with the comparison of these studies [16]. On the other hand Teplitsky et al analysis showed that in patients older than 90 years, pPCI was associated with low mortality in clinically stable patients, while clinically unstable patients had much worse prognosis in a six-month followup [17].…”
Section: Discussionsupporting
confidence: 85%
See 1 more Smart Citation
“…with advanced age increases the risk of early adverse outcomes in patients treated by pPCI, which is consistent with literature data [7,8,12]. Studies dealing with risk assessment and adverse events aft er pPCI using scoring systems [13][14][15][16] give age a signifi cant impact as predictor of early adverse outcome, which was confi rmed in a meta-analysis that dealt with the comparison of these studies [16]. On the other hand Teplitsky et al analysis showed that in patients older than 90 years, pPCI was associated with low mortality in clinically stable patients, while clinically unstable patients had much worse prognosis in a six-month followup [17].…”
Section: Discussionsupporting
confidence: 85%
“…In patients with diabetes, higher serum glucose level is associated with adverse prognosis and a higher mortality rate [7,8,14,15,[19][20][21][22][23][24]. In patients who were not suff ering from diabetes has been shown that high glucose level on admission has a signifi cant role as an independent predictive factor for early and late prognosis [21].…”
Section: Discussionmentioning
confidence: 99%
“…17 For the 1-year MI models, we used covariates based on clinical reasoning and previous studies. [18][19][20] Covariates included age, sex, race, ethnicity, diabetes mellitus, dyslipidemia, hypertension, renal failure, cerebrovascular disease, peripheral arterial disease, body weight, chronic obstructive pulmonary disorder, smoking, and previous MI. A robust estimator of the covariance matrix was used to account for clustering by site.…”
Section: Discussionmentioning
confidence: 99%
“…Osim toga pokazalo se da se možemo osoniti na SYNTAX skor kada je u pitanju predikcija ishoda kod pacijenata sa trosudov nom bolešću lečenih PCI [5]. RISKPCI skor, sa druge strane, jeste klinički skor koji na osnovu 12 nezavisnih prediktora omogućava stratifikaciju tridesetodnevnog, ali i jednogodišnjeg rizika za pojavu ozbiljnih neželjenih kardiovaskularnih događaja (major adverse cardiovascular events-MACE) [6]. RISKPCI skor i njegove modifik acije pokazale su se relevantnim u predikciji kompliko vanih krvarenja i trombotske okluzije stenta posle PCI [7,8].…”
Section: Uvodunclassified
“…Time je smanjena interobzerverska varijabilnost koja predstavlja značajan problem pri izračunavanju SYNTAX skora [9]. RISKPCI skor je noviji i samim tim manje istražen skor u odnosu na SYNTAX, ali je njegova vrednost ustanovljena na reprezentativnom uzorku paci jenata u RISKPCI studiji, kao i iz nje proisteklim stu dijama [6]. Visoko statistički značajna korelacija koju smo dobili u rezultatima ove studije potvrđuje predik tivnu vrednost oba skora i omogućava uspostavljanje veze između njih.…”
Section: Medical Youthunclassified