Diane Young

Borderline Personality Disorder and the Misdiagnosis of Bipolar Disorder

Recent reports suggest bipolar disorder is not only under-diagnosed but may at times be over-diagnosed. Little is known about factors that increase the odds of such mistakes. The present work explores whether symptoms of borderline personality disorder increase the odds of a bipolar misdiagnosis. Psychiatric outpatients (n=610) presenting for treatment were administered the Structured Clinical Interview for DSM-IV (SCID) and the Structured Interview for DSM-IV Personality for DSM-IV axis II disorders (SIDP-IV), as well as a questionnaire asking if they had ever been diagnosed with bipolar disorder by a mental health care professional. Eighty-two patients who reported having been previously diagnosed with bipolar disorder but who did not have it according to the SCID were compared to 528 patients who had never been diagnosed with bipolar disorder. Patients with borderline personality disorder had significantly greater odds of a previous bipolar misdiagnosis, but no specific borderline criterion was unique in predicting this outcome. Patients with borderline personality disorder, regardless of how they meet criteria, may be at increased risk of being misdiagnosed with bipolar disorder.

Anhedonia and amotivation in psychiatric outpatients with fully remitted stimulant use disorder.

This study evaluated whether psychiatric outpatients with a past stimulant use disorder in full remission for >/= 2 months (STIM+, n = 204) and those with no history of stimulant use disorder (STIM-, n = 2070) differed in the prevalence of current anhedonia and amotivation. Results showed that a significantly greater proportion of STIM+ participants reported anhedonia and amotivation than STIM- participants. The relation between stimulant use disorder history and anhedonia remained robust after controlling for other relevant clinical and demographic factors. These findings suggest that anhedonia may be a preexisting risk factor or protracted effect of stimulant misuse.

Performance of the mood disorders questionnaire in a psychiatric outpatient setting.

OBJECTIVESnThe Mood Disorders Questionnaire (MDQ) has been the most widely studied screening questionnaire for bipolar disorder, though few studies have examined its performance in a heterogeneous sample of psychiatric outpatients. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the operating characteristics of the MDQ in a large sample of psychiatric outpatients presenting for treatment.nnnMETHODSnA total of 534 psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV and asked to complete the MDQ. Missing data on the MDQ reduced the number of patients to 480, 10.4% (n = 52) of whom were diagnosed with bipolar disorder.nnnRESULTSnBased on the scoring guidelines recommended by the developers of the MDQ, the sensitivity of the scale was only 63.5% for the entire group of bipolar patients. The specificity of the scale was 84.8%, and the positive and negative predictive values were 33.7% and 95.0%, respectively. When impairment was not required to define a case on the MDQ, then sensitivity increased to 75.0%, specificity dropped to 78.5%, positive predictive value was 29.8%, and negative predictive value was 96.3%.nnnCONCLUSIONSnIn a large sample of psychiatric outpatients, we found that the MDQ, when scored according to the developers recommendations, had inadequate sensitivity as a screening measure. After the threshold to determine MDQ caseness was lowered by not requiring moderate or severe impairment, the sensitivity of the scale increased, but specificity decreased, and positive predictive value remained below 30%. These results raise questions regarding the MDQs utility in routine clinical practice.

How many different ways do patients meet the diagnostic criteria for major depressive disorder

There are 227 possible ways to meet the symptom criteria for major depressive disorder (MDD). However, symptom occurrence is not random, and some symptoms co-occur significantly beyond chance. This raises the questions of whether all of the theoretically possible different ways of meeting the MDD criteria actually occur in patients, and whether some combinations of criteria are much more common than others. More than 1500 patients who met DSM-IV criteria for MDD at the time of the evaluation were interviewed with semi-structured interviews. The patients met the MDD symptom criteria in 170 different ways. Put another way, one-quarter (57/227) of the criteria combinations did not occur. The most frequent combination was the presence of all 9 criteria (10.1%, n=157). Nine combinations (all 9 criteria, 3 of the 8-criterion combinations, 4 of the 7-criterion combinations, and one 6-criterion combination) were present in more than 2% of the patients, together accounting for more than 40% of the diagnoses. The polythetic definition of MDD, which requires a minimum number of criteria from a list, results in significant diagnostic heterogeneity because there are many different ways to meet criteria. While there is significant heterogeneity amongst patients meeting the MDD diagnostic criteria, a relatively small number of combinations could be considered as diagnostic prototypes as they account for more than 40% of the patients diagnosed with MDD.

Prevalence and Diagnostic Correlates of DSM-IV Pathological Gambling in Psychiatric Outpatients

Studies of the prevalence of pathological gambling (PG) in psychiatric and substance abusing patients suggest that the disorder is not rare. Most studies have been of substance abusers in treatment, and the rate of PG has been found to be several times higher than the rate found in community based epidemiological surveys. However, only one study has examined the prevalence of PG in a heterogeneous sample of patients, and this was a study of psychiatric inpatients. We are not aware of any prior study of the prevalence of PG in a psychiatric outpatient sample. In the present report from the Rhode Island Methods to Improve Diagnosis and Services (MIDAS) project we examined the current and lifetime prevalence of PG in 1,709 psychiatric outpatients interviewed with a semi-structured diagnostic interview that included a module to diagnose DSM-IV PG. Forty (2.3%) patients had a lifetime history of DSM-IV PG, all of whom had at least one other DSM-IV axis I disorder. Patients with PG had significantly more axis I disorders than patients without PG, and had significantly higher rates of bipolar disorder, social phobia, panic disorder with agoraphobia, alcohol use disorder, and other impulse control disorders. Possible reasons for the low prevalence of PG in our sample are discussed.

Screening for psychiatric disorders in outpatients with DSM-IV substance use disorders

Psychiatric disorders are frequent in patients with substance use disorders, and have been associated with increased morbidity and poorer treatment outcome. Because of the clinical importance of comorbid mental disorders, concerns have been raised about the detection of psychiatric disorders in patients with substance use disorders. The Psychiatric Diagnostic Screening Questionnaire (PDSQ) is a brief, psychometrically strong, self-report scale designed to screen for the most common DSM-IV Axis I disorders encountered in outpatient mental health settings. Previously we described the diagnostic performance of the PDSQ in a large sample of psychiatric outpatients. For the present report, we examined the performance of the PDSQ in psychiatric outpatients with drug and alcohol abuse and dependence, and determined whether its performance in patients with substance use disorders is as good as it is in patients without substance use disorders. For the patients with a substance use disorder, 92% of the comorbid mental disorders were detected by the PDSQ subscales (i.e., mean sensitivity across subscales equals 92%) and 97% of the patients who screened negative did not have a disorder (i.e., mean negative predictive value equals 97%). For patients without a substance use disorder, the mean sensitivity and negative predictive values were 88% and 95%, respectively. Receiver Operating Characteristic curves were plotted for each PDSQ subscale for both patient groups, and all areas under the curve were significant and similar in the two groups.

Sustained unemployment in psychiatric outpatients with bipolar disorder: frequency and association with demographic variables and comorbid disorders

OBJECTIVESnThe negative impact of bipolar disorder on occupational functioning is well established. However, few studies have examined the persistence of unemployment, and no studies have examined the association between diagnostic comorbidity and sustained unemployment. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we described the amount of time unemployed in the five years before the evaluation in a large cohort of outpatients diagnosed with bipolar disorder, and determined the demographic and clinical correlates of sustained unemployment.nnnMETHODSnA total of 206 patients diagnosed with DSM-IV bipolar I or bipolar II disorder were interviewed with semi-structured interviews assessing comorbid Axis I and Axis II disorders, demographic and clinical variables. The interview included an assessment of the amount of time missed from work due to psychiatric reasons during the past five years. Persistent unemployment was defined as missing up to two years or more from work.nnnRESULTSnLess than 20% of the patients reported not missing any time from work due to psychiatric reasons, and more than one-third missed up to two years or more from work. Prolonged unemployment was associated with increased rates of current panic disorder and a lifetime history of alcohol abuse or dependence. Patients with prolonged unemployment were older and experienced more episodes of depression.nnnCONCLUSIONSnMost patients presenting for the treatment of bipolar disorder have missed some time from work due to psychiatric reasons, and the persistence of employment problems is considerable. Comorbid psychiatric disorders are a potentially treatable risk factor for sustained unemployment. It is therefore of public health significance to determine if current treatments are effective in bipolar disorder patients with current panic disorder, and if not, to attempt to develop treatments that are effective.

A psychometric evaluation of the DSM-IV pathological gambling diagnostic criteria.

Specific diagnostic criteria for pathological gambling (PG) have been available for 25xa0years, since the publication of DSM-III. Little research has examined the psychometric performance of the diagnostic criteria. The goal of the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project was to examine the sensitivity, specificity and predictive values of the DSM-IV PG criteria for psychiatric outpatients who screened positive for a gambling problem. A total of 1709 psychiatric outpatients were evaluated with a semistructured diagnostic interview for PG. Of all patients 88 screened positive for PG, 40 of whom met DSM-IV diagnostic criteria for a lifetime history of PG. All ten DSM-IV criteria were significantly more frequent in the PG group. The sensitivity of the criteria ranged from 25.0% to 90.0% (meanxa0=xa067.8%), whereas specificity ranged from 62.5% to 100% (meanxa0=xa081.9%). Positive predictive values ranged from 64.1% to 100% (meanxa0=xa078.9%), and negative predictive values ranged from 61.5% to 90.7% (meanxa0=xa077.1%). Guidelines are recommended for determining whether a diagnostic criterion should be retained as part of the set of diagnostic criteria, and our results suggested that two of the DSM-IV PG criteria are candidates for elimination (criterion 8—commitment of illegal acts; criterion 10—reliance on others for financial assistance to relieve a desperate financial problem).

Psychiatric diagnoses in patients who screen positive on the Mood Disorder Questionnaire: Implications for using the scale as a case-finding instrument for bipolar disorder

Bipolar disorder is prone to being overlooked because its diagnosis is more often based on retrospective report than cross-sectional assessment. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The Mood Disorder Questionnaire (MDQ) is the most widely studied self-report screening scale that has been developed to improve the detection of bipolar disorder. Although developed as a screening scale, the MDQ has also been used as a case-finding measure. However, studies of the MDQ in psychiatric patients have found high false positive rates, though no study has determined the psychiatric diagnoses associated with false positive results on the MDQ. The goal of the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project was to identify the psychiatric disorders associated with increased false positive rates on the MDQ. Four hundred eighty psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV (SCID) and completed the MDQ. After excluding the 52 patients diagnosed with a lifetime history of bipolar disorder we compared diagnostic frequencies in patients who did and did not screen positive on the MDQ. Based on the Hirschfeld et al. scoring guidelines of the MDQ, 15.2% (n=65) of the 428 nonbipolar patients screened positive on MDQ. Compared to patients who screened negative, the patients who screened positive were significantly more likely have a current and lifetime diagnosis of specific phobia, posttraumatic stress disorder, alcohol and drug use disorders, any eating disorder, any impulse control disorder, and attention deficit disorder. Results were similar using a less restrictive threshold to identify MDQ cases. That is, MDQ caseness was associated with significantly elevated rates of anxiety, impulse control, substance use, and attention deficit disorders. Studies using the MDQ as a stand-alone proxy for the diagnosis of bipolar disorder should consider whether the presence of these other forms of psychopathology could be responsible for differences between individuals who screen positive and negative on the scale.

Performance of the Bipolar Spectrum Diagnostic Scale in psychiatric outpatients

OBJECTIVESnRecent research has suggested that bipolar disorder, when defined to include milder variants such as bipolar II disorder and bipolar disorder not otherwise specified (NOS), is more prevalent than had been previously reported and often underrecognized. Recommendations for improving the detection of bipolar disorder have included careful clinical evaluations inquiring about a history of mania and hypomania and the use of screening questionnaires. The Bipolar Spectrum Diagnostic Scale (BSDS) was designed to be particularly sensitive to the milder variants of bipolar disorder. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the operating characteristics of the BSDS in a large sample of psychiatric outpatients presenting for treatment.nnnMETHODSnA total of 1,100 psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV and asked to complete the BSDS. Missing data on the BSDS reduced the sample size to 961, approximately 10% (n = 90) of whom were diagnosed with bipolar disorder.nnnRESULTSnThe sensitivity of the BSDS was similar for bipolar I disorder, bipolar II disorder, and bipolar disorder NOS/cyclothymia. A receiver operating curve (ROC) analysis indicated that cutoffs of 11 and 12 maximized the sum of sensitivity and specificity for the entire group of patients with bipolar disorder (area under curve = 0.80, p < 0.001). The cutoff point associated with 90% sensitivity for the entire sample of patients with bipolar disorder was 8. At this cutoff the specificity of the scale was 51.1% and positive predictive value was 16.0%. We compared the patients with and without bipolar disorder on each of the BSDS symptom items. The odds ratios were higher for the items assessing hypomanic/manic symptoms than items assessing depressive symptoms. We therefore examined the performance of a subscale composed only of the hypomania/mania items. The area under the curve in the ROC analysis was nearly identical to that of the entire scale (0.81, p < 0.001).nnnCONCLUSIONSnWith its high negative predictive value, the BSDS was excellent at ruling out a diagnosis of bipolar disorder; however, the low positive predictive value indicates that it is not good at ruling in the diagnosis. These data raise questions about the use of the BSDS as a screening measure in routine clinical psychiatric practice.