Psychosomatic Medicine
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Phillips-Bute, B.
Right arrow Articles by Newman, M. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Phillips-Bute, B.
Right arrow Articles by Newman, M. F.
Related Collections
Right arrow Quality of Life
Right arrow Other Cardiovascular Medicine
Psychosomatic Medicine 68:369-375 (2006)
© 2006 American Psychosomatic Society


ORIGINAL ARTICLES

Association of Neurocognitive Function and Quality of Life 1 Year After Coronary Artery Bypass Graft (CABG) Surgery

Barbara Phillips-Bute, PhD, Joseph P. Mathew, MD, James A. Blumenthal, PhD, Hilary P. Grocott, MD, FRCPC, Daniel T. Laskowitz, MD, Robert H. Jones, MD, Daniel B. Mark, MD and Mark F. Newman, MD

From the Department of Anesthesiology (B.P.B., M.F.N., J.P.M., H.P.G.), Department of Medicine, Division of Cardiology (D.B.M.), Department of Medicine, Division of Neurology (D.T.L.), Department of Surgery (R.H.J.), and Department of Psychiatry and Behavioral Sciences (B.P.B., J.A.B.), Duke University Medical Center, Durham, North Carolina.

Address correspondence and reprint requests to Barbara Phillips Bute, PhD, Department of Anesthesiology, Box 3094, DUMC, Duke University Medical Center, Durham, NC 27710. E-mail: phill016{at}mc.duke.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
Objective: Although coronary artery bypass grafting (CABG) has been shown to improve quality of life and functional capacity for many patients, recent studies have demonstrated that a significant number of patients exhibit impairment in cognitive function immediately following surgery and beyond. We sought to determine the impact of this postoperative cognitive dysfunction on quality of life (QOL) and to characterize the dysfunction from the patient’s perspective.

Methods: With Institutional Review Board (IRB) approval and written informed consent, 732 patients at Duke University Hospital undergoing CABG were enrolled. Five hundred fifty-one (75%) completed baseline, 6-week, and 1-year neurocognitive tests and psychometric measures designed to assess QOL. Neurocognitive status was assessed by a composite cognitive index score representing the mean of the scores in four cognitive domains. Change in QOL was assessed by subtracting baseline from 1-year scores for each of 10 QOL measures. The association between QOL and cognitive dysfunction was investigated using multivariable linear regression analysis.

Results: Cognitive decline limited improvement in QOL, with substantial correlation between change in cognition and change in QOL. One-year QOL measures are associated with both 6-week and 1-year change in cognition (Instrumental Activities of Daily Living, p < .0001; Duke Activity Status Index, p < .02; Cognitive Difficulties, p < .0001; Symptom Limitations, p = .0001; Center for Epidemiologic Study Depression, p < .0001; General Health Perception, p = .0001).

Conclusions: Postoperative cognitive decline may diminish improvements in QOL. Strategies to reduce cognitive decline may allow patients to achieve the maximum improvement in QOL afforded by CABG, as even short-term cognitive dysfunction has implications for QOL 1 year later.

Key Words: neurocognitive function • CABG surgery • quality of life

Abbreviations: CABG = coronary artery bypass graft; QOL = quality of life; IADL = instrumental activities of daily living; DASI = Duke Activity Status Index; STAI = Spielberger State Anxiety Inventory; WAIS-R = Wechsler Adult Intelligence Scale-Revised; CPB = cardiopulmonary bypass; CI = Cognitive Index; SF-36 = Medical Outcomes Study 36-Item Short Form Health Survey; CES-D = Center for Epidemiological Studies Depression Scale.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
A growing consensus finds it crucial to consider quality-of-life (QOL) measures when assessing the value of medical procedures (1). Guidelines jointly published by the American College of Cardiology and the American Heart Association suggest that improvements in QOL, and not just survival, should be accounted for when offering coronary artery bypass graft (CABG) surgery as an option to a patient with coronary artery disease (2). While CABG surgery typically improves QOL and functional capacity for patients, not all patients experience this benefit equally (3–5).

One potential complication of CABG experienced by many individuals is postoperative impairment in cognitive function (6–8). Even in cases where cognitive functioning does not decline to levels recognized as clinical impairment, a persistent, measurable reduction in important domains of function may occur. Cognitive decline which can be measured within days of cardiac surgery has been shown to be associated with long-term cognitive dysfunction (7). However, there are few data that describe the relationship of postoperative cognitive decline with long-term patient outcomes. Because many patients show improved QOL after CABG (9), the general relevance of acute cognitive decline to patients’ lives has not been obvious.

The effect of cognition on QOL has been identified in several disease processes and health fields (10–12). CABG surgery represents a unique opportunity to further define the role of cognitive change in altering QOL in an environment of substantial physical limitations and symptomatology. A significant cross-sectional association between cognition and QOL 5 years after cardiac surgery has been demonstrated (13); however, the lack of longitudinal QOL data made it impossible to assess whether a change in cognitive function resulted in a corresponding change in QOL, or if there was simply a cross-sectional association between the two. As Lewis et al. (14) specifically note, the extent to which postoperative cognitive deficit affects activities of daily living is not known. Therefore, the aim of this study is investigate whether there is an association between changes in neurocognitive function and changes in QOL 1 year after CABG surgery.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
Patient Enrollment
After obtaining IRB approval and written informed consent, 732 patients undergoing elective CABG surgery at Duke University Medical Center were enrolled. Surgery dates range from July 1992 to February 2002. Patients with a history of symptomatic cerebrovascular disease (with residual deficit), psychiatric illness, renal disease, active liver disease, less than a seventh-grade education, or an inability to read were excluded.

Measurement of Neurocognitive Function
A well-validated battery of five neurocognitive tests was administered before surgery (baseline), 6 weeks after surgery, and 1 year after surgery. Tests included the short-story module of the Randt Memory Test (15); the Digit Span subtest of the Wechsler Adult Intelligence Scale–Revised (WAIS-R) test (16); the Modified Visual Reproduction Test from the Wechsler Memory Scale; the Digit Symbol subtest of the WAIS-R (16); and the Trail Making test (Part B) (17).

Measurement of QOL
QOL instruments were administered individually by trained psychometricians blinded to the patient’s neurocognitive test results. Most of the questionnaires were self-administered; however, the measures were read to the patient if requested. The following QOL measures were used:

  1. The Duke Activity Status Index (DASI) (18). The DASI is a 12-item scale of functional capacity that has been found to correlate well with objective measures of maximal exercise capacity. Items reflect activities of personal care, ambulation, household tasks, sexual function, and recreational activities. Activities done "with no difficulty" receive scores, which are weighted and summed, for a quantitative measure of functional status. Scores range from 0 to 60; a higher-weighted score indicates better function.
  2. The Duke Older Americans Resources and Services Procedures– Instrumental Activities of Daily Living (OARS-IADL) (19). This measure contains six items that assess the ability to perform important tasks for daily living (e.g., "Could you prepare your own meals?" "Could you drive a car?"). Scores range from 6 to 24. Higher scores indicate increasing difficulty in engaging in daily activities.
  3. The Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) (20,21). The SF-36 was designed to measure general health status. Two scales were used: Work Activities (four items) and General Health (one item). A higher score on Work Activities indicates more health-related problems. A high score in General Health indicates better health state.
  4. Social Activity. This measure consisted of eight items that indicate the degree of social interaction. Sample items are "How often do you talk on the telephone with friends and relatives?" and "How often do you attend meetings of social groups, clubs, or civic organizations?" Scores range from 8 to 32. A lower score indicates more social activity.
  5. Symptom limitations (22). Patients were given a list of eight symptoms and asked to rate the degree to which the symptom limited daily activities. The symptoms were angina, shortness of breath, arthritis, back trouble, leg pains, headaches, fatigue, and other. Scores range from 8 to 32, with higher scores indicating greater limitations.
  6. Center for Epidemiological Studies Depression Scale (CES-D) (23). The CES-D is a 20-item self-report examination designed to measure symptoms of depression. Subjects rate the degree to which they have experienced a range of symptoms of depression, such as "I had crying spells" and "I felt lonely." Scores range from 0 to 60, with higher scores indicating greater depressive symptoms. Scores greater than 16 are typically considered indicative of clinically significant depression.
  7. Spielberger State Anxiety Inventory (STAI) (24). The STAI consists of two 20-item scales that measure anxiety. Representative items include statements such as "I feel nervous" and "I feel worried." These items are rated on a 4-point scale, based on how well they describe the patient’s current or typical mood, from "not at all" to "very much so." Scores range from 20 to 80, with higher scores indicating greater anxiety.
  8. Perceived Social Support Scale (25). Twelve items indicate how strongly subjects agree that there is "a special person who is around when I am in need" and "my family really tries to help me." Choices range from "very strongly disagree" to "very strongly agree." Items are summed for a range of 12 to 84, with a high score meaning more social support.
  9. The Cognitive Difficulties Scale (26), a 39-item scale, is a self-report assessment of perceived problems in long- and short-term memory, concentration, attention, and psychomotor coordination. Sample items are "I forget errands I planned to do" and "I fail to recognize people I know." Scores range from 39 to 164, with higher scores indicating greater cognitive difficulty.

Patient Management
Anesthetic management was composed of midazolam, fentanyl, isoflurane, and pancuronium, as has been previously described (27). All patients underwent standard nonpulsatile hypothermic (30°C to 34°C) cardiopulmonary bypass (CPB) using a membrane oxygenator, roller pump, and including an arterial line filter. Nonpulsatile perfusion of 2 to 2.4 l per minute per square meter was maintained throughout CPB. The pump was primed with crystalloid solution to achieve a hematocrit of ≥18% during extracorporeal circulation, with packed red blood cells added when necessary to achieve the desired hematocrit. All patients underwent CPB through an ascending aortic cannula. Throughout CPB, arterial carbon dioxide tension was maintained at 35 to 40 mm Hg with a partial pressure of oxygen at 150 to 250 mm Hg.

Statistical Analysis
Measurement of neurocognitive decline was derived from a previously described factor analysis (13) performed on baseline scores. Factor scores for follow-up time periods are calculated using weights derived from this baseline analysis, so factor definitions remain consistent across all time periods. The four factors used in the final analysis represent the cognitive domains of 1) verbal memory and language comprehension, 2) visuoconstruction, 3) abstract recall, and 4) complex attention/executive function.

Change in cognitive function is described in two different ways. A continuous change score for each factor was calculated by subtracting baseline from follow-up scores. To quantify overall cognitive function, a composite cognitive index (CI) was calculated as the mean of the four domain scores to yield a single, continuous summary measure ({Delta}CI) reflecting improvement, as well as decline. This continuous CI is our primary outcome measure. As a secondary, descriptive measure, a dichotomous outcome (neurocognitive deficit) was defined as a SD decline in one or more domains.

Because no validated methodology for combining the domains of QOL was available, we investigated each QOL instrument and CI change separately using multivariate linear regression. Change in QOL ({Delta}QOL) was assessed by subtracting baseline from 1-year scores for each QOL measure. Each {Delta}QOL measure was tested in a separate multivariable linear regression model to account for the possible competing effects of age, gender, race, baseline cognitive function, baseline QOL, and Charlson comorbidity. Covariables were selected a priori and included in all models regardless of significance level.

As a secondary analysis, 6-week cognitive change scores were used as predictors of 1-year {Delta}QOL in otherwise identical models as described above. The purpose of this analysis was to determine if impaired 1-year QOL could be anticipated by immediate, short-term change in cognition.

To determine if there is a single cognitive domain that is primarily responsible for driving the associations between overall cognitive function and QOL, associations between each QOL measure and the individual cognitive domains are explored.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
Of the 732 patients enrolled, 551 (75.3%) completed both baseline and 1-year follow-up neurocognitive testing and QOL assessment. Table 1 displays characteristics of the population, including patients missing 1-year QOL or cognitive data. Some minor differences in gender and education existed between these groups. Forty-five patients had incomplete QOL testing or neuropsychological testing and were not included in the analysis. Reasons for the 136 patients not returning at 1 year included death (n = 17), lack of interest (n = 57), loss of contact (n = 42), travel problems (n = 3), health (n = 7), and other (n = 10).


View this table:
[in this window]
[in a new window]
 
TABLE 1. Patient Characteristics

 

Neurocognitive Function
Neurocognitive deficit, defined as a SD decline in one or more domains, occurred in 41% of patients at the 6-week follow-up, which is consistent with our previous publications (7). At 1 year, 36.8% of patients demonstrated a neurocognitive deficit. The percentage of patients who met the definition for cognitive deficit is shown in Table 2. The continuous measure of cognitive change, the CI, showed a small positive change overall, both at 6-week and 1-year follow-up, with substantial individual variability. The overall CI and individual domain scores are shown in Table 3.


View this table:
[in this window]
[in a new window]
 
TABLE 2. Binary Outcomes Measures in Each Domain

 

View this table:
[in this window]
[in a new window]
 
TABLE 3. Domain Scores and Cognitive Index Score at 6-Week and 1-yr Follow-Up

 

QOL
QOL measured at baseline was consistent with previous studies of cardiac surgery (Table 4). The majority of QOL measures remained unchanged at 6 weeks; measurements of physical activity (DASI) and activities of daily living (IADL) showed significant decline, thought to be related to the ongoing physical recuperation. QOL measures at 1 year show improvement in most measures (Table 4).


View this table:
[in this window]
[in a new window]
 
TABLE 4. Quality-of-Life Scores

 

Association of Cognition With ({Delta}) QOL
Multivariable Models
Changes in cognition and in QOL over the course of 1 year showed substantial association. Multivariable analysis controlling for baseline CI, baseline QOL, gender, race, age, and Charlson comorbidity showed a significant relationship between 1-year {Delta}CI and {Delta}QOL in IADL (p < .0001), the DASI (p = .03), symptom limitations (p = .0002), Cognitive Difficulties score (p < .0001), CES-Depression (p < .0001), and general health perception (p = .0002). Details of these models are presented in Table 5A.


View this table:
[in this window]
[in a new window]
 
TABLE 5A. Association of D QOL with D CI 1 Year After CABG Surgery

 

Secondary analysis showed that 6-week {Delta}CI was predictive of most of the same {Delta}QOL measures, after adjusting for the same covariates. Specifically, 6-week {Delta}CI was associated with 1-year activities of daily living (p = .003), the DASI (p = .02), symptom limitations (p = .02), Cognitive Difficulties (p = .003), and depression (p = .003). General health perception at 1 year was marginally associated with 6-week {Delta}CI (p = .09). Details of these models are presented in Table 5B.

Change in cognition was not predictive of 1-year anxiety, perceived social support, or social activities (although this demonstrated a trend at p = .08). Work activities were also not significantly associated with cognitive function; this may be due to limited power, as only 36% of our sample was working full time before surgery.

Domain Analysis
Simple correlations between each QOL score and individual cognitive domain scores show few significant relationships (Table 6), even in instances where there is a correlation between QOL and the overall CI. The unadjusted associations with the overall CI show a similar pattern of findings to multivariable modeling.


View this table:
[in this window]
[in a new window]
 
TABLE 6. Unadjusted Spearman Correlations Between Cognitive Domains and QOL (N = 551)

 


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
Recent literature has reflected some skepticism regarding the phenomenon of cognitive decline following cardiac surgery (28,29), proposing that either the incidence (30) or significance of this decline has been overstated or that the effects are transient and reversible (31–33). Although this study does not directly address the causal relationship of CABG surgery to postoperative decline, it makes an important step in providing a validation from the patient’s point of view: cognitive decline is strongly associated with decline in multiple areas of a patient’s QOL. In addition, both long- and short-term decreases in cognitive function are associated with impaired QOL 1 year after cardiac surgery. Because the 6-week decline is temporally close to surgery and is predictive of QOL 1 year later, these observations add support to the idea that the observed cognitive decline is associated both with CABG surgery and with important areas of QOL.

Although the literature reports that physical functioning is typically improved by cardiac surgery (34,35), many patients experience some degree of postoperative cognitive decline (36,37), and these declines can persist long term (7,38). Although the longitudinal effects of cardiac surgery on cognitive functioning have been investigated, few studies addressed both neurocognitive functioning and QOL (7,39). Many studies that have documented postsurgical functional status and QOL did not include assessment of cognitive functioning (5).

The effect of cognition on QOL has been demonstrated in numerous medical contexts (10–12). Likewise, the longitudinal effects of cardiac surgery on cognitive functioning have been investigated; however, few of these studies addressed both neurocognitive functioning and QOL (7,12,39,40). Similarly, many studies that have documented postsurgical functional status, survival, and QOL did not include assessment of cognitive functioning (5,41–43). One randomized CABG trial (9) that included both cognitive and QOL evaluations demonstrated a potential cognitive benefit of off-pump CABG as compared with standard CABG, but there was no difference in QOL between treatment groups, a finding that sheds doubt on the importance of postoperative neurocognitive status on QOL. However, this study did not look directly at the association between cognition and QOL.

Our study finds that cognitive decline is significantly associated with less ability to engage in activities of daily living, less functional capacity, more depression, more self-reported mental difficulties, greater symptom limitations, and a less positive general health impression. Even after controlling for factors that are known to affect QOL, including baseline functioning and overall health, we find a strong effect of cognitive decline on important areas of both functional and emotional QOL. The association of cognitive function with activities of daily living and physical functioning scores is particularly striking, as one might expect that other physical limitations from pain or other disease states could overwhelm any measurable effects of cognition. Because our data analysis method is linear and is performed on continuous measures of cognitive and QOL, it is of note that not only do patients with decreased cognitive function experience declines in QOL but also patients who experience increased cognitive function experience improved QOL.

Our examination of cognitive domains leads us to the conclusion that no single cognitive domain is responsible for the observed associations between cognitive decline and impaired QOL. Instead, the effect seems to be cumulative over the four domains, revealing stronger correlations with the composite CI score than with any single domain.

Although previous studies have not found strong associations between subjective reports of memory loss and performance on objective neuropsychological assessments (44), our data show strong association in multivariable models between the Cognitive Difficulties Scale and both 6-week and 1-year CI scores. Interestingly, there is no significant correlation between the Cognitive Difficulties Scale and any single cognitive domain score. This observation again suggests that there is a cumulative effect across the four domains, which together affect a patient’s own perception of problems in long- and short-term memory, concentration, attention, and psychomotor coordination. Unlike Selnes and McKhann (31), who has found that long-term changes occur primarily in the domain of motor or psychomotor speed, we see the largest incidence of decline in the domain of verbal memory.

Our comparison of 1-year assessment of neurocognitive function and QOL suggests, in contrast to conclusions drawn by other investigators (31–33), that these changes are not transitory or fleeting. Cognitive function and physical aspects of QOL have had time to achieve maximal improvement at 1 year, and the strong correlation of change in cognitive function with change in QOL supports the importance of addressing cognitive function when evaluating recovery from cardiac surgery. Of perhaps equal importance, the associations with 6-week neurocognitive function testing suggest that the QOL deficits experienced at 1 year may be anticipated by more immediate testing.

Limitations of our study include the inability to follow up or complete data for 25% of our patients. Individuals with inadequate baseline or 1-year cognitive function or QOL assessments represent a substantial part of this loss. Patients completing 1-year follow-up tended to have more education than noncompleters and were more likely to be female.

Although it is not possible to determine a strict causal relationship, the hypothesis that cognitive decline is a driving force in impaired QOL is reinforced by our findings that both short- and long-term change in cognitive function are predictive of long-term change in QOL. This suggests that the shorter term end point could be used as a surrogate end point when assessing efficacy of neuroprotective strategies.

Our study demonstrates that cognitive decline occurring after surgery limits the anticipated improvement in QOL accomplished by surgical coronary revascularization. Despite the fact that we see a slight increase in the overall CI (which is the expected response in unaffected subjects and is explained by the learning effect), the number of patients affected by postsurgical cognitive deficit is not small: 36% of patients in this study experienced a cognitive deficit 1 year after surgery. Although many patients both expect and experience improved QOL following CABG surgery, not everybody experiences these benefits.

Because cardiac procedures today are successfully performed on increasingly older patients (34,35,45), it is essential to anticipate which patients are likely to receive the same enhancements in QOL as in quantity of life. Strategies to improve cognition or reduce cognitive decline could potentially enable patients to achieve the maximum level of improvement in QOL that they expect from cardiac surgery. This study adds to our understanding of how our objective measures of patients’ cognitive performance are reflected in their lives and daily functioning.

Supported in part by grants from National Institutes of Health Grants R01-HL54316, R01-AG09663, and R03-AG14194, Clinical Research Centers Program, National Institutes of Health Grant M01-RR-30, American Heart Association Grant-In-Aid 95010970, and Pharmaceutical Roundtable Grant #9970128N.


    Appendix 1
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
The members of the Neurologic Outcome Research Group of the Duke Heart Center were as follows:

Director

Joseph P. Mathew, MD; Codirector: James A. Blumenthal, PhD.

Anesthesiology

Hilary P. Grocott, MD; Madan Kwatra, PhD; Burkhard Mackensen, MD; Joseph P. Mathew, MD; Mark F. Newman, MD; Debra A. Schwinn, MD; Mark Stafford-Smith, MD; Madhav Swaminathan, MD; David Warner, MD; Bonita L. Funk, RN; Narai Balajonda, MD; Chonna Campbell; Maria Celerian, MD, BS; Glenn Davis, BS; Eugenie Eaborn, RN; Roger L. Hall, AAS; Marcie Hanish, RN; Michael Hill, BS; Jerry L. Kirchner, BS; Satarah Latiker, BS; Erich Lauff, BA; Richard Morris, PhD; Charles R. Peters, MA; Meredith Prince; William Hansley, BS; Barbara Phillips-Bute, PhD; Andrew Slaughter, BS; Elizabeth Perez, RN; Josephine White, AAS; William D. White, MPH; and Sarah Woodring, BS

Behavioral Medicine

Michael A. Babyak, PhD, James A. Blumenthal, PhD.

Cardiology

Daniel B. Mark, MD, MPH, and Michael H. Sketch, Jr, MD.

Neurology

Ellen R. Bennett, PhD; Carmelo Graffagnino, MD; Daniel T. Laskowitz, MD; John R. Lynch, MD; Warren J. Strittmatter, MD; and Kathleen A. Welsh-Bohmer, PhD.

Perfusion Services

Greg Smigla, BS, CCP, and Ian Shearer, BS, CCP.

Surgery

Thomas A. D’Amico, MD; R. Duane Davis, MD; Donald D. Glower, MD; R. David Harpole, MD; James Jaggers, MD; Robert H. Jones, MD; Andrew Lodge, MD; James E. Lowe, MD; Robert H. Messier, MD; Carmelo Milano, MD; Peter K. Smith, MD; Eric M. Toloza, MD, PhD; and Walter G. Wolfe, MD.


    NOTES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 
*The members of the Neurologic Outcome Research Group are listed in Appendix 1.

Received for publication July 1, 2005; revision received November 23, 2005.

DOI:10.1097/01.psy.0000221272.77984.e2


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 Appendix 1
 NOTES
 REFERENCES
 

  1. Prevost S, Deshotels A. Quality of life after cardiac surgery. AACN Clin Issues Crit Care Nurs 1993;4:320–8.[Medline]
  2. Eagle KA, Guyton RA, Davidoff R, Ewy GA, Fonger J, Gardner TJ, Gott JP, Herrmann HC, Marlow RA, Nugent WC, O’Connor GT, Orszulak TA, Rieselbach RE, Winters WL, Yusuf S, Gibbons RJ, Alpert JS, Garson A Jr, Gregoratos G, Russell RO, Smith SC Jr. ACC/AHA guidelines for coronary artery bypass graft surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the 1991 Guidelines for Coronary Artery Bypass Graft Surgery): American College of Cardiology/American Heart Association. J Am Coll Cardiol 1999;34:1262–347.[Free Full Text]
  3. Duits AA, Boeke S, Taams MA, Passchier J, Erdman RA. Prediction of quality of life after coronary artery bypass graft surgery: a review and evaluation of multiple, recent studies. Psychosom Med 1997;59:257–68.[Abstract/Free Full Text]
  4. Phillips Bute B, Mathew J, Blumenthal JA, Welsh-Bohmer K, White WD, Mark D, Landolfo K, Newman MF. Female gender is associated with impaired quality of life 1 year after coronary artery bypass surgery. Psychosom Med 2003;65:944–51.[Abstract/Free Full Text]
  5. Rumsfeld JS, MaWhinney S, McCarthy M Jr, Shroyer AL, VillaNueva CB, O’Brien M, Moritz TE, Henderson WG, Grover FL, Sethi GK, Hammermeister KE. Health-related quality of life as a predictor of mortality following coronary artery bypass graft surgery: participants of the Department of Veterans Affairs Cooperative Study Group on Processes, Structures, and Outcomes of Care in Cardiac Surgery. JAMA 1999;281:1298–303.[Abstract/Free Full Text]
  6. Hammon JW Jr, Stump DA, Kon ND, Cordell AR, Hudspeth AS, Oaks TE, Brooker RF, Rogers AT, Hilbawi R, Coker LH, Troost BT. Risk factors and solutions for the development of neurobehavioral changes after coronary artery bypass grafting. Ann Thorac Surg 1997;63:1613–18.[Abstract/Free Full Text]
  7. Newman MF, Kirchner JL, Phillips-Bute B, Gaver V, Grocott H, Jones RH, Mark DB, Reves JG, Blumenthal JA. Longitudinal assessment of neurocognitive function after coronary-artery bypass surgery. N Engl J Med 2001;344:395–402.[Abstract/Free Full Text]
  8. Selnes OA, Goldsborough MA, Borowicz LM, McKhann GM. Neurobehavioural sequelae of cardiopulmonary bypass. Lancet 1999;353:1601–6.[CrossRef][Medline]
  9. Borowicz LM, Goldsborough MA, Selnes OA, McKhann GM. Neuropsychologic change after cardiac surgery: a critical review. J Cardiothorac Vasc Anesth 1996;10:105–11.[CrossRef][Medline]
  10. Lloyd AJ, Boyle J, Bell PR, Thompson MM. Comparison of cognitive function and quality of life after endovascular or conventional aortic aneurysm repair. Br J Surg 2000;87:443–7.[CrossRef][Medline]
  11. Troster AI, Fields JA, Pahwa R, Wilkinson SB, Strait-Troster KA, Lyons K, Kieltyka J, Koller WC. Neuropsychological and quality of life outcome after thalamic stimulation for essential tremor. Neurology 1999;53:1774–80.[Abstract/Free Full Text]
  12. Cohen RA, Moser DJ, Clark MM, Aloia MS, Cargill BR, Stefanik S, Albrecht A, Tilkemeier P, Forman DE. Neurocognitive functioning and improvement in quality of life following participation in cardiac rehabilitation. Am J Cardiol 1999;83:1374–8.[CrossRef][Medline]
  13. Newman MF, Grocott HP, Mathew JP, White WD, Landolfo K, Reves JG, Laskowitz DT, Mark DB, Blumenthal JA. Report of the substudy assessing the impact of neurocognitive function on quality of life 5 years after cardiac surgery. Stroke 2001;32:2874–81.[Abstract/Free Full Text]
  14. Lewis M, Maruff P, Silbert B. Statistical and conceptual issues in defining post-operative cognitive dysfunction. Neurosci Biobehav Rev 2004;28:433–40.[CrossRef][Medline]
  15. Randt C, Brown E. Administration Manual: Randt Memory Test. New York, NY: Life Sciences Associates; 1983.
  16. Wechsler D. The Wechsler Adult Intelligence Scale–Revised. San Antonio, TX: Psychological Corporation; 1981.
  17. Reitan R. Validity of the Trail Making test as an indicator of organic brain damage. Percept Mot Skills 1958;8:271–6.
  18. Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, Cobb FR, Pryor DB. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol 1989;64:651–4.[CrossRef][Medline]
  19. Fillenbaum GG. Multidimensional functional assessment of older adults (the Duke Older Americans Resources and Services Procedures). Hillsdale, NJ: Erlbaum Associates; 1988.
  20. Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey: Manual and Interpretation Guide. Lincoln, RI: QualityMetric, Inc.; 2000.
  21. Ware J, Kosinski M, Keller S. SF-36 Physical and Mental Health Summary Scales: a user’s manual. In: Lab HA, ed. Boston, MA: Health Assessment Lab, New England Medical Center; 1994.
  22. Axelrad K. Locus of Control and Causal Attributions as They Relate to Expectations for Coping with A Heart Attack. Los Angeles, CA: California School of Professional Psychology; 1981.
  23. Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Measures. 1977;1:385–401.[CrossRef]
  24. Speilberger C, Gorusch R, Lushene R. State-Trait Anxiety Inventory Manual. Palo Alto, CA: Consulting Psychologists Press; 1970.
  25. Blumenthal JABM, Barefoot J, Williams R, Haney T, Zimet G. Social support, type A behavior, and coronary artery disease. Psychosom Med 1987;49:331–40.[Abstract/Free Full Text]
  26. McNair DM, Kahn RJ. Self-assessment of cognitive deficits. In: Crook T, Ferris S, Bartus R, eds. Assessment in Geriatric Psychopharmacology. New Canaan, CT: Mark Powley Associates, Inc.; 1983.
  27. Theil DR, Stanley TE, White WD, Goodman DK, Glass PS, Bai SA, Jacobs JR, Reves JG. Midazolam and fentanyl continuous infusion anesthesia for cardiac surgery: a comparison of computer-assisted versus manual infusion systems. J Cardiothorac Vasc Anesth 1993;7:300–6.[CrossRef][Medline]
  28. Potter GG, Plassman BL, Helms MJ, Steffens DC, Welsh-Bohmer KA. Age effects of coronary artery bypass graft on cognitive status change among elderly male twins. Neurology 2004;63:2245–9.[Abstract/Free Full Text]
  29. Elkins JS, Johnston SC. Twinning hearts and minds. Neurology 2004;63:2211–2.[Free Full Text]
  30. Keizer AMA, Hijman R, Kalkman CJ, Kahn RS, van Dijk D. The incidence of cognitive decline after (not) undergoing coronary artery bypass grafting: the impact of a controlled definition. Acta Anaesthesiol Scand 2005;49:1232–5.[CrossRef][Medline]
  31. Selnes O, McKhann G. Neurocognitive complications after coronary artery bypass surgery. Ann Neurol 2005;57:615–21.[CrossRef][Medline]
  32. Keith J, Puente A, Malcolmson K, Tartt S, Coleman A, Marks H. Assessing postoperative cognitive change after cardiopulmonary bypass surgery. Neuropsychology 2002;16:411–21.[CrossRef][Medline]
  33. Mullges W, Babin-Ebell J, Reents W, Toyka K. Cognitive performance after coronary artery bypass grafting: a follow-up study. Neurology 2002;59:741–3.[Abstract/Free Full Text]
  34. Heijmeriks JA, Pourrier S, Dassen P, Prenger K, Wellens HJ. Comparison of quality of life after coronary and/or valvular cardiac surgery in patients >=75 years of age with younger patients. Am J Cardiol 1999;83:1129–32.[CrossRef][Medline]
  35. Fruitman DS, MacDougall CE, Ross DB. Cardiac surgery in octogenarians: can elderly patients benefit? quality of life after cardiac surgery. Ann Thorac Surg 1999;68:2129–35.[Abstract/Free Full Text]
  36. Sotaniemi KA. Long-term neurologic outcome after cardiac operation. Ann Thorac Surg 1995;59:1336–9.[Abstract/Free Full Text]
  37. van Dijk D, Keizer AM, Diephuis JC, Durand C, Vos LJ, Hijman R. Neurocognitive dysfunction after coronary artery bypass surgery: a systematic review. J Thorac Cardiovasc Surg 2000;120:632–9.[Abstract/Free Full Text]
  38. McKhann GM, Goldsborough MA, Borowicz LM Jr, Selnes OA, Mellits ED, Enger C, Quaskey SA, Baumgartner WA, Cameron DE, Stuart RS, Gardner TJ. Cognitive outcome after coronary artery bypass: a one-year prospective study. Ann Thorac Surg 1997;63:510–5.[Abstract/Free Full Text]
  39. Murkin JM, Stump DA, Blumenthal JA, McKhann G. Defining dysfunction: group means versus incidence analysis-a statement of consensus. Ann Thorac Surg 1997;64:904–5.[CrossRef][Medline]
  40. Heijmeriks JA, Dassen W, Prenger K, Wellens HJ. The incidence and consequences of mental disturbances in elderly patients post cardiac surgery: a comparison with younger patients. Clin Cardiol 2000;23:540–6.[Medline]
  41. Bourassa MG, Brooks MM, Mark DB, Trudel J, Detre KM, Pitt B, Reeder GS, Rogers WJ, Ryan TJ, Smith HC, Whitlow PL, Wiens RD, Hlatky MA. Quality of life after coronary revascularization in the United States and Canada. Am J Cardiol 2000;85:548–53.[CrossRef][Medline]
  42. Hunt JO, Hendrata MV, Myles PS. Quality of life 12 months after coronary artery bypass graft surgery. Heart Lung 2000;29:401–11.[CrossRef][Medline]
  43. Myles PS, McLeod AD, Hunt JO, Fletcher H. Sex differences in speed of emergence and quality of recovery after anaesthesia: cohort study. BMJ 2001;322:710–1.[Free Full Text]
  44. Selnes O, Grega M, Borowicz L. Self-reported memory symptoms with coronary artery disease: a prospective study of CABG patients and nonsurgical controls. Cogn Behav Neurol 2004;17:148–56.[Medline]
  45. Deiwick M, Roschner C, Rothenburger M, Schmid C, Scheld H. Feasibility and risks of heart surgery in very elderly: analysis of 200 consecutive patients of 80 years and above. Arch Gerentol Geriatr 2001;59:1336–9.



This article has been cited by other articles:


Home page
Arch Clin NeuropsycholHome page
P. J. Tully, R. A. Baker, J. L. Knight, D. A. Turnbull, and H. R. Winefield
Neuropsychological Function 5 Years after Cardiac Surgery and the Effect of Psychological Distress
Arch Clin Neuropsychol, December 1, 2009; 24(8): 741 - 751.
[Abstract] [Full Text] [PDF]


Home page
Anesth. Analg.Home page
Y.-H. Liu, D.-X. Wang, L.-H. Li, X.-M. Wu, G.-J. Shan, Y. Su, J. Li, Q.-J. Yu, C.-X. Shi, Y.-N. Huang, et al.
The Effects of Cardiopulmonary Bypass on the Number of Cerebral Microemboli and the Incidence of Cognitive Dysfunction After Coronary Artery Bypass Graft Surgery
Anesth. Analg., October 1, 2009; 109(4): 1013 - 1022.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
J. P. Mathew, G. B. Mackensen, B. Phillips-Bute, H. P. Grocott, D. D. Glower, D. T. Laskowitz, J. A. Blumenthal, M. F. Newman, and for the Neurologic Outcome Research Group (NORG) o
Randomized, Double-Blinded, Placebo Controlled Study of Neuroprotection With Lidocaine in Cardiac Surgery
Stroke, March 1, 2009; 40(3): 880 - 887.
[Abstract] [Full Text] [PDF]


Home page
Ann. Thorac. Surg.Home page
J. Dunning, J. R.L. Waller, B. Smith, S. Pitts, S. W.H. Kendall, and K. Khan
Coronary Artery Bypass Grafting is Associated With Excellent Long-Term Survival and Quality of Life: A Prospective Cohort Study
Ann. Thorac. Surg., June 1, 2008; 85(6): 1988 - 1993.
[Abstract] [Full Text] [PDF]


Home page
Physiol. Rev.Home page
T. P. Obrenovitch
Molecular Physiology of Preconditioning-Induced Brain Tolerance to Ischemia
Physiol Rev, January 1, 2008; 88(1): 211 - 247.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Phillips-Bute, B.
Right arrow Articles by Newman, M. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Phillips-Bute, B.
Right arrow Articles by Newman, M. F.
Related Collections
Right arrow Quality of Life
Right arrow Other Cardiovascular Medicine


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS