JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2022, Vol. 42 ›› Issue (1): 21-27.doi: 10.3969/j.issn.1674-8115.2022.01.004
Previous Articles Next Articles
Received:
2021-08-20
Online:
2022-01-28
Published:
2022-02-18
Contact:
Fang FANG
E-mail:13918740787@163.com;fang_fang0604@163.com
Supported by:
CLC Number:
Ye HE, Fang FANG. Relationship between preoperative glycosylated hemoglobin and postoperative delirium in patients following off-pump coronary artery bypass grafting[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2022, 42(1): 21-27.
Add to citation manager EndNote|Ris|BibTeX
URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2022.01.004
Variable | Delirium group (n=93) | Non-delirium group (n=271) | t value | P value |
---|---|---|---|---|
Preoperative | ||||
Age/year | 69.25±8.14 | 63.73±9.58 | -5.378① | 0.000 |
Gender | 1.547② | 0.214 | ||
Male/n(%) | 68 (18.7) | 215 (59.1) | ||
Female/n(%) | 25 (6.9) | 56 (15.4) | ||
Nicotine use | 3.640② | 0.056 | ||
Yes/n(%) | 33 (9.1) | 127 (34.9) | ||
No/n(%) | 60 (16.5) | 144 (39.6) | ||
Alcohol use | 8.792② | 0.003 | ||
Yes/n(%) | 13 (3.6) | 80 (22.0) | ||
No/n(%) | 80 (22.0) | 191 (52.5) | ||
Cerebrovascular disease | 1.449② | 0.229 | ||
Yes/n(%) | 21 (5.8) | 46 (12.6) | ||
No/n(%) | 72 (19.8) | 225 (61.8) | ||
Atrial fibrillation | 2.300② | 0.129 | ||
Yes/n(%) | 3 (0.8) | 21 (5.8) | ||
No/n(%) | 90 (24.7) | 250 (68.7) | ||
Hypertension | 0.562② | 0.453 | ||
Yes/n(%) | 68 (19.0) | 190 (52.2) | ||
No/n(%) | 24 (6.6) | 81 (22.3) | ||
Diabetes mellitus | 13.770② | 0.000 | ||
Yes/n(%) | 57 (15.7) | 106 (29.1) | ||
No/n(%) | 36 (9.9) | 165 (45.3) | ||
Hyperlipidemia | 1.949② | 0.163 | ||
Yes/n(%) | 14 (3.8) | 59 (16.2) | ||
No/n(%) | 79 (21.7) | 212 (58.2) | ||
Anemia | 12.131② | 0.000 | ||
Yes/n(%) | 37 (10.2) | 58 (15.9) | ||
No/n(%) | 56 (15.4) | 213 (58.5) | ||
Peripheral vascular disease | 17.083② | 0.000 | ||
Yes/n(%) | 35 (9.6) | 46 (12.6) | ||
No/n(%) | 58 (15.9) | 225 (61.8) | ||
Renal insufficiency | 2.231② | 0.135 | ||
Yes/n(%) | 12 (3.3) | 21 (5.8) | ||
No/n(%) | 81 (22.3) | 250 (68.7) | ||
NYHA function classification | 3.460④ | 0.001 | ||
Ⅰ/n(%) | 0 (0) | 4 (1.1) | ||
Ⅱ/n(%) | 27 (7.4) | 129 (35.4) | ||
Ⅲ/n(%) | 62 (17.0) | 132 (36.3) | ||
Ⅳ/n(%) | 4 (1.1) | 6 (1.6) | ||
LVEF/% | 56.80±11.67 | 61.45±9.42 | 3.481④ | 0.001 |
CK-MB/(ng·mL-1) | 2.44±3.41 | 1.82±2.83 | -1.714① | 0.087 |
Serum sodium/(mmol·L-1) | 141.23±2.55 | 141.48±2.25 | 0.891① | 0.373 |
Serum potassium/(mmol·L-1) | 3.93±0.38 | 3.94±0.37 | 0.262① | 0.794 |
Albumin/(g·L-1) | 36.92±4.01 | 38.31±4.15 | 3.205① | 0.001 |
HbA1c/% | 7.20±1.47 | 6.33±1.22 | -5.136① | 0.000 |
Intraoperative blood transfusion | 10.619② | 0.001 | ||
Yes/n(%) | 18 (4.9) | 20 (5.5) | ||
No/n(%) | 75 (20.6) | 251 (69.0) | ||
Postoperative | ||||
Acid-base imbalance | ‒ | 0.000③ | ||
Yes/n(%) | 13 (3.6) | 4 (1.1) | ||
No/n(%) | 80 (22.0) | 267 (73.4) | ||
Electrolyte disturbance | 19.807② | 0.000 | ||
Yes/n(%) | 14 (3.8) | 7 (1.9) | ||
No/n(%) | 79 (21.7) | 264 (72.5) |
Tab 1 Univariate analysis of risk factors for postoperative delirium in OPCAB patients (n=364)
Variable | Delirium group (n=93) | Non-delirium group (n=271) | t value | P value |
---|---|---|---|---|
Preoperative | ||||
Age/year | 69.25±8.14 | 63.73±9.58 | -5.378① | 0.000 |
Gender | 1.547② | 0.214 | ||
Male/n(%) | 68 (18.7) | 215 (59.1) | ||
Female/n(%) | 25 (6.9) | 56 (15.4) | ||
Nicotine use | 3.640② | 0.056 | ||
Yes/n(%) | 33 (9.1) | 127 (34.9) | ||
No/n(%) | 60 (16.5) | 144 (39.6) | ||
Alcohol use | 8.792② | 0.003 | ||
Yes/n(%) | 13 (3.6) | 80 (22.0) | ||
No/n(%) | 80 (22.0) | 191 (52.5) | ||
Cerebrovascular disease | 1.449② | 0.229 | ||
Yes/n(%) | 21 (5.8) | 46 (12.6) | ||
No/n(%) | 72 (19.8) | 225 (61.8) | ||
Atrial fibrillation | 2.300② | 0.129 | ||
Yes/n(%) | 3 (0.8) | 21 (5.8) | ||
No/n(%) | 90 (24.7) | 250 (68.7) | ||
Hypertension | 0.562② | 0.453 | ||
Yes/n(%) | 68 (19.0) | 190 (52.2) | ||
No/n(%) | 24 (6.6) | 81 (22.3) | ||
Diabetes mellitus | 13.770② | 0.000 | ||
Yes/n(%) | 57 (15.7) | 106 (29.1) | ||
No/n(%) | 36 (9.9) | 165 (45.3) | ||
Hyperlipidemia | 1.949② | 0.163 | ||
Yes/n(%) | 14 (3.8) | 59 (16.2) | ||
No/n(%) | 79 (21.7) | 212 (58.2) | ||
Anemia | 12.131② | 0.000 | ||
Yes/n(%) | 37 (10.2) | 58 (15.9) | ||
No/n(%) | 56 (15.4) | 213 (58.5) | ||
Peripheral vascular disease | 17.083② | 0.000 | ||
Yes/n(%) | 35 (9.6) | 46 (12.6) | ||
No/n(%) | 58 (15.9) | 225 (61.8) | ||
Renal insufficiency | 2.231② | 0.135 | ||
Yes/n(%) | 12 (3.3) | 21 (5.8) | ||
No/n(%) | 81 (22.3) | 250 (68.7) | ||
NYHA function classification | 3.460④ | 0.001 | ||
Ⅰ/n(%) | 0 (0) | 4 (1.1) | ||
Ⅱ/n(%) | 27 (7.4) | 129 (35.4) | ||
Ⅲ/n(%) | 62 (17.0) | 132 (36.3) | ||
Ⅳ/n(%) | 4 (1.1) | 6 (1.6) | ||
LVEF/% | 56.80±11.67 | 61.45±9.42 | 3.481④ | 0.001 |
CK-MB/(ng·mL-1) | 2.44±3.41 | 1.82±2.83 | -1.714① | 0.087 |
Serum sodium/(mmol·L-1) | 141.23±2.55 | 141.48±2.25 | 0.891① | 0.373 |
Serum potassium/(mmol·L-1) | 3.93±0.38 | 3.94±0.37 | 0.262① | 0.794 |
Albumin/(g·L-1) | 36.92±4.01 | 38.31±4.15 | 3.205① | 0.001 |
HbA1c/% | 7.20±1.47 | 6.33±1.22 | -5.136① | 0.000 |
Intraoperative blood transfusion | 10.619② | 0.001 | ||
Yes/n(%) | 18 (4.9) | 20 (5.5) | ||
No/n(%) | 75 (20.6) | 251 (69.0) | ||
Postoperative | ||||
Acid-base imbalance | ‒ | 0.000③ | ||
Yes/n(%) | 13 (3.6) | 4 (1.1) | ||
No/n(%) | 80 (22.0) | 267 (73.4) | ||
Electrolyte disturbance | 19.807② | 0.000 | ||
Yes/n(%) | 14 (3.8) | 7 (1.9) | ||
No/n(%) | 79 (21.7) | 264 (72.5) |
Variable | Partial regression coefficient (β) | Standard error | Wald χ² | P value | OR | 95%CI |
---|---|---|---|---|---|---|
Age | 0.064 | 0.017 | 13.529 | 0.000 | 1.066 | 1.030‒1.103 |
Alcohol use | -1.122 | 0.395 | 8.060 | 0.005 | 0.326 | 0.150‒0.706 |
Peripheral vascular disease | 0.731 | 0.320 | 5.211 | 0.022 | 2.077 | 1.109‒3.890 |
LVEF | -0.031 | 0.013 | 5.354 | 0.021 | 0.970 | 0.945‒0.995 |
HbA1c | 0.382 | 0.104 | 13.415 | 0.000 | 1.466 | 1.195‒1.799 |
Acid-base imbalance | 2.090 | 0.723 | 8.353 | 0.004 | 8.086 | 1.960‒33.367 |
Electrolyte disturbance | 1.296 | 0.559 | 5.364 | 0.021 | 3.654 | 1.220‒10.940 |
Tab 2 Multivariate Logistic regression analysis results of postoperative delirium in OPCAB patients
Variable | Partial regression coefficient (β) | Standard error | Wald χ² | P value | OR | 95%CI |
---|---|---|---|---|---|---|
Age | 0.064 | 0.017 | 13.529 | 0.000 | 1.066 | 1.030‒1.103 |
Alcohol use | -1.122 | 0.395 | 8.060 | 0.005 | 0.326 | 0.150‒0.706 |
Peripheral vascular disease | 0.731 | 0.320 | 5.211 | 0.022 | 2.077 | 1.109‒3.890 |
LVEF | -0.031 | 0.013 | 5.354 | 0.021 | 0.970 | 0.945‒0.995 |
HbA1c | 0.382 | 0.104 | 13.415 | 0.000 | 1.466 | 1.195‒1.799 |
Acid-base imbalance | 2.090 | 0.723 | 8.353 | 0.004 | 8.086 | 1.960‒33.367 |
Electrolyte disturbance | 1.296 | 0.559 | 5.364 | 0.021 | 3.654 | 1.220‒10.940 |
1 | 陈红, 汪慧娟, 陈瑜. 术后谵妄病人非药物管理最佳证据综合[J]. 护理研究, 2019, 33(23): 4108-4112. |
2 | OLIN K, ERIKSDOTTER-JONHAGEN M, JANSSON A, et al. Postoperative delirium in elderly patients after major abdominal surgery[J]. Br J Surg, 2005, 92(12): 1559-1564. |
3 | MARISCALCO G, COTTINI M, ZANOBINI M, et al. Preoperative statin therapy is not associated with a decrease in the incidence of delirium after cardiac operations[J]. Ann Thorac Surg, 2012, 93(5): 1439-1447. |
4 | CEREGHETTI C, SIEGEMUND M, SCHAEDELIN S, et al. Independent predictors of the duration and overall burden of postoperative delirium after cardiac surgery in adults: an observational cohort study[J]. J Cardiothorac Vasc Anesth, 2017, 31(6): 1966-1973. |
5 | BROWN C H, PROBERT J, HEALY R, et al. Cognitive decline after delirium in patients undergoing cardiac surgery[J]. Anesthesiology, 2018, 129(3): 406-416. |
6 | SMULTER N, LINGEHALL H C, GUSTAFSON Y, et al. Delirium after cardiac surgery: incidence and risk factors[J]. Interact Cardiovasc Thorac Surg, 2013, 17(5): 790-796. |
7 | NEUFELD K J, LEOUTSAKOS J M, SIEBER F E, et al. Outcomes of early delirium diagnosis after general anesthesia in the elderly[J]. Anesth Analg, 2013, 117(2): 471-478. |
8 | INOuYE S K, MARCANTONIO E R, KOSAR C M, et al. The short-term and long-term relationship between delirium and cognitive trajectory in older surgical patients[J]. Alzheimers Dement, 2016, 12(7): 766-775. |
9 | SACZYNSKI J S, MARCANTONIO E R, QUACH L, et al. Cognitive trajectories after postoperative delirium[J]. N Engl J Med, 2012, 367(1): 30-39. |
10 | 车智美, 虞敏. 心脏外科术后谵妄的研究进展[J]. 上海交通大学学报(医学版), 2016, 36(11): 1661-1663. |
11 | 彭晓红, 丁雪茹, 董正惠. 心脏外科重症监护病房ICU谵妄发生状况及影响因素分析[J]. 解放军预防医学杂志, 2019, 37(6): 182-183. |
12 | KOTFIS K, SZYLINSKA A, LISTEWNIK M, et al. Diabetes and elevated preoperative HbA1c level as risk factors for postoperative delirium after cardiac surgery: an observational cohort study[J]. Neuropsychiatr Dis Treat, 2019, 15: 511-521. |
13 | 吴明隆. 问卷统计分析实务:SPSS操作与应用[M]. 重庆: 重庆大学出版社, 2010. |
14 | SEITZ D P, CHAN C C, NEWTON H T, et al. Mini-Cog for the diagnosis of Alzheimer's disease dementia and other dementias within a primary care setting[J]. Cochrane Database Syst Rev, 2018, 2: CD011415. |
15 | ELY E W, INOUYE S K, BERNARD GR, et al. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU)[J]. JAMA, 2001, 286(21): 2703-2710. |
16 | 高浪丽, 谢冬梅, 董碧蓉, 等. 中文版3D-CAM谵妄量表在老年患者中使用的信度和效度研究[J]. 中华老年医学杂志, 2018, 37(10):1073-1077. |
17 | KOTFIS K, ŚLOZOWSKA J, SAFRANOW K, et al. The practical use of white cell inflammatory biomarkers in prediction of postoperative delirium after cardiac surgery[J]. Brain Sci, 2019, 9(11): 308. |
18 | SHAW P, SALEEM T, GAHTAN V. Correlation of hemoglobin A1C level with surgical outcomes: can tight perioperative glucose control reduce infection and cardiac events?[J]. Semin Vasc Surg, 2014, 27(3/4): 156-161. |
19 | 闫晓英, 刘哲, 宋艳, 等. A型主动脉夹层术患者术后谵妄的影响因素分析[J]. 护理实践与研究, 2020, 17(1): 7-10. |
20 | 王静. 老年消化系统肿瘤患者术后谵妄影响因素的病例对照研究[J]. 护理学报, 2017, 24(1): 61-65. |
21 | 郑晓梅, 崔丹.非体外冠状动脉旁路移植术后谵妄的影响因素分析[J].医学临床研究, 2018, 35(7): 1433-1435. |
22 | KOTFIS K, SZYLINSKA A, LISTEWNIK M, et al. Early delirium after cardiac surgery: an analysis of incidence and risk factors in elderly (≥65 years) and very elderly (≥80 years) patients[J]. Clin Interv Aging, 2018, 13: 1061-1070. |
23 | 李晓晴, 马闻建, 姜霁纹, 等.冠状动脉旁路移植术后谵妄的发生率和相关危险因素研究[J].中华神经科杂志, 2015, 48(12): 1069-1073. |
24 | NIKOLIC B D, PUTNIK S M, LAZOVIC D M, et al. Can we identify risk factors for postoperative delirium in cardiac coronary patients? our experience[J]. Heart Surg Forum, 2012, 15(4): 195. |
25 | 国欣涛, 魏荣伟, 王斌. 冠状动脉搭桥术后谵妄的研究现状[J]. 医学信息, 2019, 32(10): 53-56. |
26 | CAI S, LATOUR J M, LIN Y, et al. Preoperative cardiac function parameters as valuable predictors for nurses to recognise delirium after cardiac surgery: a prospective cohort study[J]. Eur J Cardiovasc Nurs, 2020, 19(4): 310-319. |
27 | 邢焕民, 吕冬梅, 王晓慧, 等. 术后谵妄风险预测模型的构建及应用[J]. 中华护理杂志, 2019, 54(1): 8-13. |
28 | ZHANG W Y, WU W L, GU J J, et al. Risk factors for postoperative delirium in patients after coronary artery bypass grafting: a prospective cohort study[J]. J Crit Care, 2015, 30(3): 606-612. |
29 | 许晨, 张艺雄. 心脏外科术后谵妄影响因素的研究进展[J]. 全科护理, 2018, 16(34): 4247-4250. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||