BRIEF REPORT Defining a Cognitive Function Decrement in Schizophrenia Richard S.E. Keefe, Charles E. Eesley, and Margaret P. Poe Background: Although cognitive impairment is described as a core component of the characterization of schizophrenia, a sizable percentage of patients are classified as unimpaired by traditional definitions of impairment. The purpose of this study was to determine the percentage of patients with schizophrenia meeting criteria for a “cognitive function decrement” defined as a current level of cognitive function that falls below the level predicted by premorbid estimates. Methods: Linear regression analyses were performed on a healthy control population to determine a predicted composite cognitive score based on maternal education, paternal education, and reading score as indicators of premorbid intellectual function. The percentages of patients with current cognitive function above and below predicted values were calculated. Results: When the Wide Range Achievement Test-3 (WRAT-3) score and maternal education are both used to predict current cognitive performance, as expected, about half (42%) of control subjects fall below expectations. However, 98.1 % of patients fall below expectations. Conclusions: When cognitive function decrement is defined as a failure to reach the expected level of cognitive functioning, almost all patients with schizophrenia meet this definition. Key Words: Schizophrenia, cognition, premorbid, parental education P atients with schizophrenia are well known to have cognitive deficits (Saykin et al 1994; Heinrichs and Zakzanis 1998). However, which patients with schizophrenia are the most appropriate candidates for cognitive enhancement is a matter of controversy. The central issue of this controversy is which patients can be identified as having a cognitive deficit. Some conceptualizations of this issue have relied on approaches from clinical neuropsychology that define cognitive impairment. These definitions are based on a performance deficit compared with a healthy control population, such as one standard deviation below the mean on one or more areas of cognitive function (Bryson et al 1993; Heinrichs and Awad 1993; Palmer et al 1997). The estimated percentage of schizophrenia patients who do not have a cognitive deficit by these definitions has varied from 27% (Palmer et al 1997) to 55% (Bryson et al 1993). While these approaches are useful for clinical practice, they may not be appropriate for the identification of which patients may benefit from cognitive enhancement. The rationale that only severely impaired patients should be included in a cognitive enhancement trial is based on the idea that only those patients could benefit from pharmacologic intervention. However, there is little evidence to support this idea. Results from cognitive enhancement trials with antipsychotic medications or adjunctive agents are equivocal with regard to the relationship between baseline severity of cognitive deficits and treatment-related cognitive improvement. In some studies, patients with the least severe cognitive deficits have demonstrated the most benefit from treatment (e.g., Friedman et al 2002; Harvey et al 2003). There is limited evidence about the relationship between baseline cognitive impairment and response to cognitive training, although one study suggested that cognitive training may im- From Duke University, School of Medicine, Durham, North Carolina. Address reprint requests to Dr. Richard Keefe, Box 3270, Duke University Medical Center, Durham, NC 27710; E-mail: [email protected]. Received May 17, 2004; revised September 18, 2004; accepted January 5, 2005. 0006-3223/05/$30.00 doi:10.1016/j.biopsych.2005.01.003 prove working memory regardless of baseline cognitive impairment severity (Bell et al 2003). It is possible that patients who do not meet clinical neuropsychology criteria for impairment may nonetheless have cognitive deficits compared with what would be expected if they had never developed schizophrenia. Patients identified as being “within normal limits” by clinical neuropsychology criteria have been reported to have parental education and reading scores that are a full standard deviation above healthy control subjects with similar cognitive performance (Kremen et al 2000). These data suggest that patients with schizophrenia who perform at the control mean on cognitive tests have actually suffered a significant decrement in their level of cognitive functioning. Samples of monozygotic twins discordant for schizophrenia provide strong support for this notion, as affected co-twins perform worse than their unaffected co-twin in various cognitive domains (Goldberg et al 1990). However, the accuracy of our expectations for patients’ current level of cognitive functioning is less certain in patients without a discordant monozygotic twin available for comparison purposes. While cognitive performance can be predicted statistically by demographic factors such as age and personal education, these variables either affect the course of a patient’s illness (age) or are affected by the presence of schizophrenia (education). A preferred method for identifying which patients have suffered a decrement in cognitive functioning compared with expectations would be to determine the relationship between antecedent factors such as parental education or premorbid intelligence quotient (IQ) and current cognitive function in healthy control subjects and then identify those patients whose current level of cognitive functioning falls below these antecedent expectations. In a sample of 141 neurologically healthy subjects, premorbid IQ, as measured by a reading score combined with the Wechsler Adult Intelligence Scale-Revised (WAIS-R) score, predicted cognitive test performance beyond the accuracy achieved by demographics alone (Gladsjo et al 1999). Thus, reading score is a viable predictor of whether an individual’s current cognitive function meets earlier expectations. The current study investigates the percentage of patients whose current level of cognitive function fails to match what is expected of them based on the antecedent factors of parental education and estimates of IQ score based on reading tests BIOL PSYCHIATRY 2005;57:688 – 691 © 2005 Society of Biological Psychiatry BIOL PSYCHIATRY 2005;57:688 – 691 689 R.S.E. Keefe et al (Kremen et al 1996, 2000). We hypothesize that when a cognitive function decrement is defined as worse cognitive function than predicted by parental education and/or premorbid IQ estimates, nearly all patients with schizophrenia will meet this definition. Methods and Materials Data collection procedures, which were approved by the Duke University Medical Center Institutional Review Board, have been described in detail previously (Keefe et al 2004) and will be summarized briefly here. Fifty healthy control subjects and 150 patients were recruited from the inpatient facilities at Duke University, John Umstead Hospital, the University of North Carolina Neurosciences Hospital, and Dorothea Dix Hospital. All participants provided written informed consent prior to study entry. Patients were required to meet DSM-IV criteria for schizophrenia, schizoaffective illness, or schizophreniform disorder. Premorbid intelligence was estimated using the Wide Range Achievement Test, third edition (WRAT-3), Reading Subtest, which measures recognition and pronunciation of printed words considered to be an estimate of premorbid IQ (Gladsjo et al 1999). Maternal education data were available from 107 patients and paternal education data were available for 105 patients. Healthy control subjects and patients did not differ significantly on measures of parental education, age, and ethnic background as described previously (Keefe et al 2004, Table 1, p. 286). Subjects received a 2.5-hour cognitive battery, as described in Keefe et al (2004), assessing the cognitive constructs of verbal memory, working memory, motor function, processing speed, attention, and reasoning and problem solving. Good performance was associated with positive scores. A composite score was calculated as follows: A z-score was calculated for the primary measure for each test based on the healthy control standard deviation and mean. To compute a standardized score for each construct, the average of the z-scores for each of the measures that comprised each construct was calculated. The composite score was a z score of the mean of the construct scores. Multiple linear regression analyses were performed on the control population to determine the predicted cognitive composite score based on maternal education, paternal education, and/or WRAT-3 Reading score. Cognitive function decrement was defined as a composite score falling below the regression line. The percentage of patients meeting this definition was calculated. To determine the bounds within which we could assert expected performance, a one-tailed 95% confidence interval was calculated for the regression line. This analysis calculated the range for which the regression line was accurate, with 95% probability. We used a one-tailed confidence interval because our hypothesis regarded only the accuracy of our estimates for one side of the regression line—those patients who performed worse than expectations. The purpose of this study was not to determine whether patients performing above the regression line could be within a 95% interval around the regression line. of the cognitive composite score with paternal education are as follows: [] ⫽ .699, SE ⫽ .028; t ⫽ 6.482, df ⫽ 45, p ⬍ .001. The statistics for the prediction of cognitive composite score with maternal education are as follows: [] ⫽ .712, SE ⫽ .026; t ⫽ 7.030, df ⫽ 49, p ⬍ .001 (see Figure 1). One hundred three (96.2%) of 107 patients and 24 (48%) of 50 control subjects met the definition of cognitive function decrement in that they did not reach the cognitive score predicted by the level of maternal education (88.8% of patients and 34% of control subjects with a one-tailed 95% confidence interval). Ninety-eight (93.3%) of 105 patients and 20 (43.5%) of 46 control subjects did not reach the cognitive score predicted by paternal education (88.6% of patients and 34.8% of control subjects with a one-tailed 95% confidence interval). When WRAT-3 Reading score was used in the regression equation to predict expected ability ([] ⫽ .777, SE ⫽ .010; t ⫽ 8.538, df ⫽ 49, p ⬍ .001), 141 (95.3%) of 148 patients and 20 (40%) of 50 control subjects had cognitive composite scores falling below the regression line (91.2% of patients and 30% of control subjects with a one-tailed 95% confidence interval). When WRAT-3 Reading score and maternal education were both used in the regression equation to predict expected ability ([] ⫽ ⫺3.858, SE ⫽ .431; t ⫽ ⫺8.943, df ⫽ 49, p ⬍ .001), 105 (98.1%) of 107 patients and 21 (42%) of 50 control subjects failed to score at the expected level on the cognitive composite score (92.5% of patients and 32% of control subjects with a one-tailed 95% confidence interval). The combination of WRAT-3 reading score and maternal education was chosen post hoc based on the superior classification rates of maternal education as compared with paternal education and because more patients (107 compared with 105) and control subjects (50 compared with 46) knew their mother’s education compared with their father’s education. Discussion The purpose of the present study was to determine the frequency of a cognitive function decrement in schizophrenia patients as defined by a failure to meet the expected level of Results All regression equations predicting current cognitive functioning based on parental education and estimates of premorbid intellectual functioning (WRAT-3 Reading) were calculated using control subjects and were statistically significant. These regression models were then used for the prediction of cognitive composite scores using the patients’ parental education and reading scores. The statistics from the equation for the prediction Figure 1. Cognitive score predicted by maternal education. The regression line describes the relationship between maternal education (in years) and current cognitive composite score. The curved line represents the 95% confidence interval of the regression line. Those individuals falling above the regression line perform above the expectations generated by maternal education. Those individuals falling below the regression line perform below expectations. *Maternal education values jittered for clarity. www.elsevier.com/locate/biopsych 690 BIOL PSYCHIATRY 2005;57:688 – 691 cognitive functioning predicted by parental education and/or WRAT-3 Reading score. Almost all patients (up to 98%) met this definition, compared with 40% of healthy control subjects. The percentage of patients is far higher than has previously been reported when cognitive impairment has been characterized as a cognitive performance that is not within the normal range (Bryson et al 1993; Palmer et al 1997). The present study suggests that while schizophrenia patients may be found who perform within the normal range on cognitive tests, it is likely that these patients have suffered a decrement in their cognitive functions. For any regression strategy, about half of the sample used to define the regression line will fall above and below the line. Thus, unsurprisingly, about 40% of healthy control subjects in this study performed below expectations. Our strategy suggests that these individuals, like those with schizophrenia, did not function on cognitive assessments at the level predicted by their WRAT-3 Reading scores or parental education. One limitation of using this approach to defining a cognitive function decrement is that failing to meet the expectations forwarded by our predictor variables does not in itself suggest that healthy control subjects are cognitively unhealthy. Typical clinical estimates of impairment based on a definition of one standard deviation below the normal mean usually include a lower number—about 15%— of the general population as impaired. Thus, our approach identifies a larger proportion of the healthy control population as not meeting average expectations, which may be seen as a disadvantage of this scheme. However, the advantage of our approach over traditional approaches is that it allows the identification of anyone who has a cognitive function decrement relative to an estimate of their inherited or premorbid capability. Therefore, it is not based on current level of functioning itself but rather the difference between current functioning and expectations based on antecedent factors. This difference may be the most relevant measure of which patients with schizophrenia have suffered cognitively as a result of their illness. Cognitive impairment has increasingly been described as a core feature of schizophrenia that should be a target for treatment (Hyman and Fenton 2003). If cognitive impairment is indeed considered as a core feature, it implies that very few patients are able to maintain the cognitive functions that they would have had if they had not developed schizophrenia and that cognitive impairment is not simply the result of symptoms or treatment (Elvevag and Goldberg 2000). The results of the current study point to a way of resolving the apparent contradiction between the idea that cognitive impairment is a core feature of schizophrenia and the characterization of sizable subgroups of schizophrenia patients with normal cognitive abilities. Since the current cognitive functions of almost all patients suggest a failure to meet premorbid expectations, almost all patients would be considered to have a cognitive performance decrement. Previous definitions of schizophrenia patients who perform within the normal range as neuropsychologically normal may possibly bias treatment strategies against improving cognition in high-functioning schizophrenia patients who have nonetheless suffered a decline in cognition and possibly in quality of life. When a definition of cognitive impairment is based on expected level of cognitive functioning, all patients suffering from a deficit or decline in cognitive function are identified for potential cognition-improving treatments. This strategy would target almost all patients with schizophrenia for cognitive enhancement, consistent with the philosophy that patients who do not meet the expected level of cognitive function may be able to benefit from www.elsevier.com/locate/biopsych R.S.E. Keefe et al cognitive intervention, even if their cognitive functions are in the normal range. Theoretically, this strategy would permit the inclusion in treatment studies of subjects who might perform at ceiling for the cognitive measures used as primary outcomes. However, welldesigned batteries of tests will not include measures that are susceptible to ceiling effects in patients with schizophrenia. Less than 1% of 1493 patients in the schizophrenia trial of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Project (Keefe et al 2003), performed within one standard deviation of the ceiling on trial one of the Hopkins Verbal Learning Test. A recent Food and Drug Administration-National Institute of Mental Health (FDA-NIMH) panel on designs for cognitive enhancement trials in schizophrenia recommended that the only patients who should be excluded from these trials are those few who perform at ceiling at baseline (Buchanan et al, in preparation) but estimated that this percentage would be very small when carefully designed batteries are used. This approach to defining a cognitive decrement raises ethical issues regarding the risk/benefit ratio of pharmacotherapy. Patients who fall below predicted cognitive performance but who are otherwise classified as unimpaired may be viewed as not able to benefit enough from additional pharmacotherapy to warrant the potential associated risks. However, since as few as 10% of patients with schizophrenia are employed (Marwaha and Johnson 2004) and less than 5% have a college degree (Keith et al 1991), it is clear that being neuropsychologically normal (which includes at least 27% of patients) is not adequate for achieving healthy functional outcomes in schizophrenia patients. Cognitive enhancement for these neuropsychologically normal patients, who would have been at the higher end of the cognitive and functional distributions in the normal population if they had not developed schizophrenia, may potentially make a substantial contribution to their quality of life. This study is limited by the small number of control subjects that were used to establish the relationships between predictive factors and current cognitive functioning. A study with a larger number of control subjects will provide more definitive data about the relationship between current cognitive functioning and antecedent factors in the healthy population. However, the 98% classification of patients with a performance decrement will be difficult to improve on. Further, the amount of decrement from premorbid measures such as reading score and parental education is probably underestimated in the schizophrenia sample. First, since young people destined to develop schizophrenia already have experienced mild cognitive impairment at the early stages of life when they are learning to read words (Davidson et al 1999; Fuller et al 2002) and since parents of patients with schizophrenia may also have reduced education due to the presence of schizophrenia or related phenotypes in the family (Keefe et al 1994), the antecedent estimates used in this study are already affected by mild cognitive impairments associated with the prodrome of schizophrenia or its heritability. Second, for the 63% of patients who were receiving atypical antipsychotic treatment, which may have had a mild beneficial effect on their cognitive deficits (Harvey and Keefe 2001), the cognitive performance was less severe than if untreated or treated with typical antipsychotics, and the amount of cognitive decrement may have been further underestimated. 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