A Risk Score for Predicting Long-Term Mortality Following Off-Pump Coronary Artery Bypass Grafting

被引:26
作者
Urbanowicz, Tomasz Kamil [1 ]
Michalak, Michal [2 ]
Gasecka, Aleksandra [3 ]
Olasinska-Wisniewska, Anna [1 ]
Perek, Bartlomiej [1 ]
Rodzki, Michal [1 ]
Bocianski, Michal [1 ]
Jemielity, Marek [1 ]
机构
[1] Poznan Univ Med Sci, Dept Cardiac Surg & Transplantol, PL-61701 Poznan, Poland
[2] Poznan Univ Med Sci, Dept Comp Sci & Stat, PL-61701 Poznan, Poland
[3] Med Univ Warsaw, Chair & Dept Cardiol 1, PL-02091 Warsaw, Poland
基金
美国国家卫生研究院;
关键词
coronary artery bypass grafting; off-pump; multivessel coronary artery disease; risk stratification; prediction; long-term mortality; neutrophil-to-lymphocyte ratio; ON-PUMP; INFLAMMATORY RESPONSE; LYMPHOCYTE RATIO; SURGERY; NEUTROPHIL; STROKE;
D O I
10.3390/jcm10143032
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Off-pump coronary artery bypass grafting (OPCAB) comprises 15-30% of all bypass grafting surgeries. The currently available perioperative scores such as Euroscore and STS score do not specifically predict long-term mortality after off-pump procedures. The neutrophil-to-lymphocyte ratio (NLR) is one of the new, easily accessible markers of inflammation with proven predictive value in cardiovascular diseases. We aimed to develop the first risk score for long-term mortality after OPCAB and to determine if the perioperative value of NLR predicts long-term mortality in OPCAB patients. Methods: In total, 440 consecutive patients with multivessel stable coronary artery disease undergoing OPCAB were recruited. Differential leukocyte counts were obtained by a routine hematology analyzer. Data regarding mortality during a median follow-up time of 5.3 years were obtained from the Polish National Health Service database. An independent population of 242 patients served as a validation cohort. Results: All-cause mortality was influenced by different clinical risk factors. In multivariate regression analysis, chronic obstructive pulmonary disease, stroke history, post-operative NLR and LVEF were independent predictors of mortality. Combing all independent predictors predicted long-term all-cause mortality with 68.5% sensitivity and 71.5% specificity (AUC = 0.704, p < 0.001). After weighing these variables according to their estimates in a multivariate regression model, we developed a score to predict mortality in patients undergoing OPCAB (PREDICT-OPCAB Score, ranging from 0 to 10). Patients with a high score were at higher risk of mortality within the median 5.3 years of follow-up (score 0-3: 8.3%; 4-6: 27.0%; 7-10: 40.0%; p < 0.001 for score 0-3 vs. 4-6 and 7-10). This association was confirmed in the validation cohort. Conclusions: We developed and validated the first simplified risk score to predict mortality following OPCAB based on easily accessible clinical factors. This risk score can be used when obtaining a patient's informed consent and as an aid in determining treatment.
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