|Year : 2014 | Volume
| Issue : 3 | Page : 334-336
Predictors of postoperative cognitive dysfunction in adult patients undergoing elective cardiac surgery
Madanmohan Shiraboina1, Syamasundara Ayya1, Y Srikanth1, RV Kumar2, Padmaja Durga1, Ramachandran Gopinath1
1 Department of Anaesthesiology and Intensive Care, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Andhra Pradesh, India
2 Department of CT Surgery, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Andhra Pradesh, India
|Date of Web Publication||23-Jun-2014|
Dr. Madanmohan Shiraboina
Flat No. 301, Plot No. 4, Balakrishna Kuteer, Krishna Nagar Colony, Kakaguda, Picket, Secunderabad - 500 009, Andhra Pradesh
Source of Support: None, Conflict of Interest: None
|How to cite this article:|
Shiraboina M, Ayya S, Srikanth Y, Kumar R V, Durga P, Gopinath R. Predictors of postoperative cognitive dysfunction in adult patients undergoing elective cardiac surgery. Indian J Anaesth 2014;58:334-6
|How to cite this URL:|
Shiraboina M, Ayya S, Srikanth Y, Kumar R V, Durga P, Gopinath R. Predictors of postoperative cognitive dysfunction in adult patients undergoing elective cardiac surgery. Indian J Anaesth [serial online] 2014 [cited 2020 Jan 25];58:334-6. Available from: http://www.ijaweb.org/text.asp?2014/58/3/334/135077
| Introduction|| |
Post-operative central nervous system dysfunctions persist as common complications with a significant impact on the patient's quality-of-life after cardiac surgery.  The incidence of post-operative cognitive dysfunction (POCD) ranges between 40% and 70% at the time of discharge from hospital., More than 20 risk factors have been identified for POCD, but it can occur even in the absence of these high-risk factors.
The aim of our current study was to evaluate the risk factors for the development of POCD in patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) who were at low-risk of developing POCD.
| Methods|| |
After obtaining institutional ethical committee approval, patients aged over 30 years undergoing elective cardiac surgery with Katz grading  of six were included in this prospective observational study, between May and December 2012. Exclusion criteria included previous cardiothoracic surgery, history of stroke or transient ischemic attack, carotid stenosis >50%, severe hypertension (>180/110 mm of Hg) at admission, renal dysfunction (serum creatinine >2 mg/dl), active hepatic disease, severe left ventricular dysfunction (ejection fraction <30%), pre-operative mini-mental state examination (MMSE) score <25, concomitant surgery on great vessels, pre-operative atrial fibrillation, pre-operative blood transfusions after admission, patients who remained intubated for >24 h after surgery and patients who died within 7 days post-operatively.
Mini-mental state examination  was performed on the day before surgery, 24 h after extubation and on the 7 th post-operative day. MMSE score ≤24 was considered to be cognitive dysfunction. All patients were managed as per the institutional protocol. All patients were pre-medicated with ranitidine (150 mg PO), and alprazolam (0.5 mg PO). Anaesthesia was induced with midazolam (0.1 mg/kg), fentanyl (5 μg/kg), thiopentone sodium (2-4 mg/kg), and rocuronium (0.6 mg/kg). Anaesthesia was maintained with isoflurane (1-2 minimum alveolar concentration), midazolam (0.01 mg/kg/h as bolus-during CPB) and fentanyl (1.5 μg/kg/h as bolus). Intraoperative monitoring included electrocardiogram, invasive arterial pressure, central venous pressure, pulmonary arterial pressure (for coronary artery bypass grafting), pulseoximetry (SpO 2 ) temperature, end-tidal expiratory CO 2 and blood gas analysis.
On CPB, mean blood pressure was kept above 50 mm Hg for normotensive patients and above 60 mm Hg for hypertensive patients  throughout the procedure. Blood sugars were maintained at <200 mg/dl. All patients were cooled to 28-32°C. In-line arterial filter or bubble trap was used. Blood was added when haemoglobin (Hb) was <7 g/dl on CPB, and <10 g/dl after bypass. All patients were rewarmed to 36.5°C.
Statistical analyses were performed with SPSS version 17 (SPSS, Chicago, IL, USA). Univariate analyses were performed by comparing patients with and without POCD (MMSE ≤ 24) using ǀ 2 test, Fisher exact test, Student's t test, the Mann-Whitney U-test wherever applicable. P < 0.05 was considered as significant. Multivariate analyses were performed by forward stepwise logistic regression using the variables that were found to be significant on univariate analysis to identify independent predictors for POCD. Receiver operated curve analysis was performed for the number of blood units transfused and POCD to identify the best cut-off of the number of blood transfusions for POCD.
| Results|| |
Of 121 patients, 21 were excluded as they were having a MMSE score <25. Further 15 patients were excluded; due to death (5), non-fatal stroke (2), reoperation (4), and reintubation (4). The association of the patient characteristics, examined comorbidities, intra-operative and post-operative factors and peri-operative and risk factors and POCD are shown in [Table 1].
|Table 1: Prevalence of risk factors in cardiac patients with post-operative delirium (univariate analysis)|
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Variables with significant association with POCD were considered for multivariate 'logistic regression model', which identified the number of blood transfusion, as a single independent predictor for the development of POCD on the 7 th post-operative day [Table 2].
|Table 2: Multivariate, stepwise logistic regression analysis for predictors of POCD after cardiac surgery|
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| Discussion|| |
During cardiac surgery blood loss occurs from the surgical site, haemodilution and as the blood volume left in venous reservoir at the end of surgery, which necessitates blood transfusion. Cerebral embolization of the micro particulates (MPs) present in the stored blood is the main reason for cerebral injury. Red blood cells stored in the blood bank undergo a series of changes and release many potentially hazardous products, resulting in the so-called 'storage lesion.'  Studies has shown that, micro particulates released from blood cells exhibited strong procoagulant and proinflammatory activities. ,,, The proinflammatory property of microparticulates (MP) causes cognitive dysfunction after CPB. MPs also contain Hb, which is a potent scavenger of nitric oxide (NO), which has been shown to modulate vascular contractility through NO pathway. 
In this study, we also identified that, patients with POCD had low peri-operative Hb, higher post-operative lactate values (24 h after surgery), and more than 2 blood transfusions. Even though blood loss and transfusions are not completely avoidable during cardiac surgery, measures, which will reduce the blood transfusion like use of antifibrinolytics and cell salvage techniques are advisable to reduce the incidence of POCD.
Limitations of this study are a small sample size, absence of intraoperative neurological monitoring, use of MMSE alone as neuropsychological test and cognitive function assessed only in the immediate post-operative period. The MMSE test was chosen because it is easy to perform and can be done even in patients with low educational standards.
| Conclusion|| |
We conclude that POCD is a known, but less emphasised complication of blood transfusion. Multiple blood transfusions can predispose to POCD even in the absence of clinical conditions known to produce POCD. It is important to understand the burden of the POCD and reduce the need for transfusion in cardiac surgery.
| References|| |
|1.||Newman MF, Mathew JP, Grocott HP, Mackensen GB, Monk T, Welsh-Bohmer KA, et al. Central nervous system injury associated with cardiac surgery. Lancet 2006;368:694-703. |
|2.||Gerrard PThe hierarchy of the activities of daily living in the Katz index in residents of skilled nursing facilities, J Geriatr Phys Ther 2013; 36:87-91. |
|3.||Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189-98. |
|4.||Murphy GS, Hessel EA 2 nd , Groom RC. Optimal perfusion during cardiopulmonary bypass: An evidence-based approach. Anesth Analg 2009;108:1394-417. |
|5.||Hess JR. Red cell storage. J Proteomics 2010;73:368-73. |
|6.||Leroyer AS, Anfosso F, Lacroix R, Sabatier F, Simoncini S, Njock SM, et al. Endothelial-derived microparticles: Biological conveyors at the crossroad of inflammation, thrombosis and angiogenesis. Thromb Haemost 2010;104:456-63. |
|7.||Rubin O, Crettaz D, Tissot JD, Lion N. Microparticles in stored red blood cells: Submicron clotting bombs? Blood Transfus 2010;8 Suppl 3:s31-8. |
|8.||Horstman LL, Jy W, Bidot CJ, Nordberg ML, Minagar A, Alexander JS, et al. Potential roles of cell-derived microparticles in ischemic brain disease. Neurol Res 2009;31:799-806. |
|9.||Burnier L, Fontana P, Kwak BR, Angelillo-Scherrer A. Cell-derived microparticles in haemostasis and vascular medicine. Thromb Haemost 2009;101:439-51. |
|10.||Gladwin MT, Kim-Shapiro DB. Storage lesion in banked blood due to hemolysis-dependent disruption of nitric oxide homeostasis. Curr Opin Hematol 2009;16:515-23. |
[Table 1], [Table 2]