| Literature DB >> 24130886 |
Fuhai Ji1, Zhongmin Li, J Nilas Young, Artin Yeranossian, Hong Liu.
Abstract
BACKGROUND: ANDEntities:
Mesh:
Substances:
Year: 2013 PMID: 24130886 PMCID: PMC3795046 DOI: 10.1371/journal.pone.0077446
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Recruiting of study sample.
Demographic and Clinical Characteristics.
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|---|---|---|---|
| Yes (n=567) | No (n=566) | ||
| Age (>65) | 254(44.97) | 250(44.17) | 0.9002 |
| Gender (M) | 405(71.6) | 401(70.85) | 0.7785 |
| BMI | 29.40 (6.38) | 29.87 (7.1) | 0.2328 |
| Race (non-white) | 184(32.45) | 182(32.33) | 0.9658 |
| Status (urgent) | 269(47.44) | 358(63.25) | <0.0001 |
| Smoking | 298(52.56) | 312(55.12) | 0.3865 |
| Current Smoking | 489(18.87) | 476(22.26) | 0.1582 |
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| None | 489(86.24) | 476(84.1) | 0.7190 |
| Mild | 55(9.70 | 73(12.9) | |
| Moderate | 18(3.17) | 5(2.12) | |
| Severe | 5(0.88) | 5(0.88) | |
| Cerebrovascular Disease | 94(16.58) | 111(19.61) | 0.1851 |
| Peripheral Vascular Disease | 80(14.11) | 84(14.84) | 0.7265 |
| Family History of CAD | 109(19.22) | 168(29.68) | <0.0001 |
| Diabetes | 203(35.8) | 177(31.27) | 0.1065 |
| Hypertension | 436(76.9) | 436(77.03) | 0.9567 |
| Hypercholesterolemia | 394(69.49) | 461(81.45) | <0.0001 |
| Dyslipidemia | 383(67.55) | 253(44.7) | <0.0001 |
| Preoperative MI | 185(32.63) | 246(43.46) | 0.0002 |
| CHF | 179(31.57) | 42(7.42) | <0.0001 |
| IABP Use | 38(6.7) | 50(8.83) | <0.0001 |
| EF % | 52.45 (12.82) | 49.68 (13.60) | 0.0004 |
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| ACEI | 284(50.09) | 326(57.6) | 0.0113 |
| Beta Blockers | 394(69.49) | 374(66.08) | 0.2195 |
| ADP Inhibitors | 27(4.76) | 65(11.48) | <0.0001 |
| Nitrates | 16(2.82) | 20(3.53) | 0.4949 |
| Anticoagulants | 103(18.17) | 146(25.8) | 0.0019 |
| Antiplatelet | 9(1.59) | 6(1.06) | 0.4378 |
| Coumadin | 42(7.41) | 37(6.54) | 0.5654 |
| Inotropes | 2(0.35) | 7(1.24) | 0.0939 |
| Steroids | 18(3.17) | 19(3.36) | 0.8630 |
| Aspirin | 438(77.25) | 456(80.57) | 0.1714 |
| Lipid Lowering | 371(65.43) | 296(52.3) | <0.0001 |
| GPIIb/IIIa Inhibitor | 15(2.65) | 33(5.83) | 0.0078 |
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| Type of Surgery | |||
| CABG only | 304(53.7) | 330(58.30) | 0.1183 |
| CABG +Valve | 118(20.77) | 153(27.03) | 0.0135 |
| CABG +other | 116(5.11) | 39(6.89) | 0.2058 |
| Valve+(Valve +other) | 116(20.42) | 44(7.77) | <0.0001 |
| Vessels of CABG (>4) | 94(16.58) | 133(23.49) | 0.0035 |
| Perfusion Time (min) | 181.20 (75.47) | 199.80 (81.60) | <0.0001 |
| Cross Clamp Time (min) | 128.90 (63.97) | 144.80 (62.47) | <0.0001 |
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| 0.61 (0.21) | 0.39 (0.20) | <0.0001 |
Values are n (%) for categorical variables and mean±SD for continuous variables. BMI, body mass index; CAD, coronary arterial disease; CKD, chronic kidney diseases; e-GFR, estimated glomerular filtration rate; MI, myocardial infarction (MI); CHF, chronic heart failure; IABP, intra-aortic balloon pump; EF, ejection fraction; ACEI, angiotensin converting enzyme inhibitors; ADP, adenosine diphosphate; GPIIb/IIIa, glycoprotein IIb/IIIa; CABG, coronary arterial bypass graft
Multivariable Propensity Model for Dexmedetomidine Use
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| Status (Urgent vs. Elective) | 0.578 | 0.441-0.758 | <0.0001 |
| Family History of CAD | 0.689 | 0.504-0.943 | 0.0199 |
| Pre-op Hypercholesterolemia | 0.507 | 0.337-0.762 | 0.0011 |
| Pre-op Dyslipidemia | 2.969 | 2.164-4.073 | <0.0001 |
| Pre-op CHF | 4.866 | 3.248-7.29 | <0.0001 |
| Pre-op EF | 1.015 | 1.004-1.026 | 0.0066 |
| Pre-op Beta Blockers | 1.509 | 1.128-2.018 | 0.0056 |
| Pre-op Lipid Lowering | 0.611 | 0.446-0.836 | 0.0021 |
| Perfusion Time | 0.997 | 0.995-0.999 | 0.0005 |
OR, odds ratio; CI, confidence interval; CAD, coronary artery disease; Pre-op, preoperative; CHF, congestive heart failure; CABG, coronary artery bypass graft; EF, ejection fraction
Preoperative Kidney Function Characteristics.
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| Yes (n=567) | No (n=566) | ||
| CKD Stage | |||
| 1 | 114(20.11) | 100(17.67) | 0.2947 |
| 2 | 271(47.8) | 302(53.36) | 0.0613 |
| 3 | 149(26.28) | 145(25.62) | 0.8 |
| 4 | 16(2.82) | 8(1.41) | 0.0999 |
| 5 | 17(3) | 11(1.94) | 0.2531 |
| eGFR | 71.70 (28.98) | 71.49 (23.89) | 0.8983 |
| Last creatinine level | 1.24 (1.09) | 1.13(0.68) | 0.0625 |
| History of Renal Failure | 31(5.46) | 14(2.47) | 0.0101 |
| Dialysis | 19 (3.35) | 11(1.94) | 0.1416 |
Values are n (%) for categorical variables and mean±SD for continuous variables. CKD, chronic kidney diseases; eGFR, estimated glomerular filtration rate
Predicted Acute Kidney Injury by Preoperative Chronic Kidney Disease Stage
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| 1 | 0.228 | 0.328 | 0.1886-0.268 | 0.286-0.371 | 0.0233 | |
| 2 | 0.247 | 0.328 | 0.222-0.273 | 0.304-0.352 | 0.0003 | |
| 3 | 0.322 | 0.370 | 0.288-0.357 | 0.335-0.405 | 0.6738 | |
| 4 | 0.640 | 0.808 | 0.534-0.745 | 0.659-0.957 | 0.7315 | |
| 5 | 0.636 | 0.779 | 0.533-0.738 | 0.652-0.907 | 0.6416 | |
Data stratified comparison in predicted postoperative AKI by preoperative chronic kidney disease stage and adjusted by propensity score. CKD, chronic kidney disease; AKI, acute kidney injury; DEX, dexmedetomidine
Figure 2Effects of dexmedetomidine on postoperative AKI and other outcomes in patients undergoing cardiac surgery.
Values are numbers (%) for categorical variables and mean± SD for continuous variables. OR, odd ratio; CI, confidence interval; AKIN, acute kidney injury network; AKI, acute kidney injury; RF, renal failure; Post-op, postoperative; eGFR, estimated glomerular filtration rate.
Predicted Postoperative Acute Kidney Injury by Quintile
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| DEX | Non-DEX | DEX | Non-DEX | DEX | Non-DEX | |||
| 1 | 33 | 193 | 0.194 | 0.179 | 0.8163 | 0.09781 | 0.2185 | 0.0451 |
| 2 | 82 | 145 | 0.352 | 0.346 | 0.9981 | 0.2044 | 0.3613 | <0.0001 |
| 3 | 108 | 119 | 0.489 | 0.49 | 1 | 0.2545 | 0.407 | <0.0001 |
| 4 | 159 | 68 | 0.644 | 0.624 | 0.1536 | 0.2531 | 0.4393 | <0.0001 |
| 5 | 185 | 41 | 0.846 | 0.844 | 1 | 0.3839 | 0.6771 | <0.0001 |
Data stratified comparison in predicted postoperative AKI by Quintile of propensity score. AKI, acute kidney injury; DEX, dexmedetomidine
Figure 3Propensity adjusted risk model for postoperative AKI following cardiac surgery.
Values are n (%) for categorical variables and mean± SD for continuous variables. OR, odd ratio; CI, confidence interval; CKD, chronic kidney disease; CABG, coronary artery bypass graft; BMI, body mass index; Pre-op, preoperative; CHF, congestive heart failure; IABP, intra-aortic balloon pumping.