| Literature DB >> 36056376 |
Xiaojie Liu1,2, Yang Yu2, Lijuan Wang2, Sudena Wang2, Yuchen Gao2, Hushan Ao3.
Abstract
BACKGROUND: Previous study found that C-reactive protein (CRP) can predict bleeding after on-pump CABG. To evaluate whether preoperative C-reactive protein (CRP) can be a novel marker of postoperative bleeding in patients having off-pump coronary artery bypass grafting (CABG).Entities:
Keywords: Bleeding; C-reactive protein; Coagulation; Coronary artery bypass grafting
Mesh:
Substances:
Year: 2022 PMID: 36056376 PMCID: PMC9438263 DOI: 10.1186/s13019-022-01949-w
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.522
Fig. 1The flow chart of the patients included in this study
Baseline Characteristics of the Patients (n = 537)
| Age (years) | 60.6 ± 8.33 |
| Male (%) | 428 (79.7) |
| Hypertension (%) | 337 (62.8) |
| Hyperlipidemia (%) | 426 (81.6) |
| Diabetes (%) | 203(37.8) |
| Smoking (%) | 235 (54.9) |
| Arrhythmia (%) | 19 (3.5) |
| LVEF (%) | 60.20 ± 7.27 |
| BMI (kg/m2) | 25.94 ± 3.22 |
| HGB (g/L) | 134.59 ± 17.40 |
| PLT count (× 109/L) | 214.96 ± 58.15 |
| PCT (%) | 0.23 ± 0.06 |
| PT (sec) | 13.21 ± 1.75 |
| APTT (sec) | 36.85 ± 7.35 |
| FIB (g/L) | 3.55 ± 0.83 |
| D-dimer (μg/ml) | 0.27 (0.21, 0.42) |
| FDP (μg/ml) | 2.5 (2.5, 2.5) |
| Aspirin (%) | 204 (3.8) |
| Ticagrelor (%) | 24 (4.5) |
| Tranexamic acid (%) | 354 (69.4) |
| CRP (mg/L) | 1.52 (0.70, 3.11) |
| Postoperative bleeding (mL/24 h) | 430 (320, 580) |
LVEF left ventricular ejection fraction, BMI body mass index, HGB hemoglobin, PLT platelet, PCT plateletcrit, PT prothrombin time, APTT activated partial thromboplastin time, FIB fibrinogen, FDP fibrinogen degradation product, CRP C-reactive protein
Linear regression analysis for postoperative bleeding volume of off-pump CABG
| Simple linear regression | Multiple linear regression | |||
|---|---|---|---|---|
| B | B | |||
| Age | 0.098 | 0.023 | 0.106 | 0.030 |
| Female (%) | 0.076 | 0.079 | ||
| Hypertension (%) | −0.058 | 0.183 | ||
| Hyperlipidemia (%) | −0.002 | 0.955 | ||
| Diabetes (%) | −0.080 | 0.065 | ||
| Arrhythmia (%) | −0.021 | 0.629 | ||
| LVEF (%) | 0.046 | 0.285 | ||
| BMI (kg/m2) | −0.148 | 0.001 | −0.107 | 0.015 |
| HGB (g/L) | −0.089 | 0.040 | ||
| PLT count (× 109/L) | −0.110 | 0.011 | ||
| PCT (%) | −0.124 | 0.004 | ||
| PT | 0.048 | 0.275 | ||
| APTT | −0.029 | 0.581 | ||
| FIB (g/L) | −0.086 | 0.117 | ||
| D-dimer (μg/ml) | −0.123 | 0.083 | ||
| FDP (μg/ml) | −0.121 | 0.162 | ||
| CRP (mg/L) | −0.088 | 0.044 | −0.088 | 0.042 |
| Aspirin (%) | −0.011 | 0.795 | ||
| Ticagrelor (%) | 0.044 | 0.315 | ||
| Tranexamic acid (%) | −0.388 | < 0.001 | −0.381 | < 0.001 |
LVEF left ventricular ejection fraction, BMI body mass index, HGB hemoglobin, PLT platelet, PCT plateletcrit, PT prothrombin time, APTT activated partial thromboplastin time, FIB fibrinogen, FDP fibrinogen degradation product, CRP C-reactive protein
Fig. 2Correlation between C-reactive protein and postoperative bleeding
Linear regression analysis for preoperative FIB of patients
| Simple linear regression | Multiple linear regression | |||
|---|---|---|---|---|
| B | B | |||
| Age (years) | 0.009 | 0.865 | ||
| Female (%) | −0.138 | 0.012 | −0.139 | 0.003 |
| BMI (kg/m2) | 0.102 | 0.604 | ||
| HGB (g/L) | −0.105 | 0.057 | −0.010 | 0.830 |
| PLT count (× 109/L) | 0.094 | 0.086 | 0.043 | 0.322 |
| PT(s) | −0.010 | 0.850 | ||
| APTT(s) | 0.132 | 0.016 | 0.053 | 0.232 |
| Smoking (%) | 0.013 | 0.820 | ||
| CRP (mg/L) | 0.604 | < 0.001 | 0.594 | < 0.001 |
| Aspirin (%) | 0.155 | 0.005 | 0.108 | 0.013 |
| Ticagrelor (%) | 0.031 | 0.577 | ||
| Tranexamic acid (%) | −0.070 | 0.240 | ||
BMI body mass index, HGB hemoglobin, PLT platelet, PCT plateletcrit, PT prothrombin time, APTT activated partial thromboplastin time, CRP C-reactive protein