Nosological insertion of axis I disorders in the etiology of obsessive-compulsive disorder

This study explores the prevalence of developing Axis I disorders at various time points within an obsessive-compulsive disorder (OCD) population. A sample of 409 patients diagnosed as OCD according to the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1994) participated. Of the 409 patients, 132 (32.2%) developed at least one other Axis I disorder. Odds ratio data indicates that an anxiety disorder, mood disorder, eating disorder, or tic disorder is likely to occur first. Second disorder is likely to be another anxiety disorder, mood disorder, eating disorder, somatoform disorder (tic disorders fall out of the continuum). The third disorder is likely to be a mood disorder, or anxiety disorder (all other disorders fall out of the continuum). Demographic data including gender, religion, occupation, marital status, and family psychiatric history is similar to the data reported in other studies of primary OCD. It is suggested that although OCD may present with additional comorbid conditions, other distinct pathology may emerge (be inserted) independently over time. This supports the conceptualization of OCD as a continuum, where additional diagnoses may be expected to occur in the time course of the condition.     

Uncomplicated and complicated obsessive-compulsive disorder: an exploratory study from India

Obsessive-compulsive disorder (OCD) is frequently associated with comorbid Axis I disorders. Little data are available from the Indian subcontinent. Recent studies have raised the possibility of different characteristics of Indian patients with OCD. Furthermore, very few studies have compared OCD with comorbid Axis I disorders with pure OCD. This cross-sectional exploratory study was carried out with the objective of studying Axis I comorbidity in OCD in an Indian setting. It also aimed to compare OCD with comorbid Axis I disorder vs pure OCD on multiple parameters. Fifty-four patients with OCD (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) were included in the present study. Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition-I was used to assess Axis I comorbidity. The patients were evaluated on different standardized scales measuring obsessive-compulsive, anxiety, and depressive symptomatology. Axis I comorbidity was seen in 64.8% of the sample. The most common comorbid disorders were depression (38.88%), panic disorder (7.40%), and phobias (7.40%). No significant differences were observed on sociodemographic variables, but on psychopathological scales, the OCD complicated with Axis I disorders subgroup scored higher except in the Yale-Brown Obsessive Compulsive Scale compulsion subscale. Frequency and pattern of Axis I comorbidity in OCD in an Indian setting are not different from the rest of the world. Long-term prospective multicenter epidemiological studies are required to understand the development and influence of comorbidity in OCD.     

Diagnostic interview assessed neuropsychiatric disorder comorbidity in 334 individuals with obsessive-compulsive disorder

Is obsessive–compulsive disorder (OCD) a discrete disorder? Three hundred thirty‐four individuals with OCD were interviewed using the Structured Clinical Interview for DSM (SCID). Results demonstrate that OCD is highly comorbid with other neuropsychiatric disorders, with 92% of OCD study participants receiving one or more additional Axis I DSM diagnoses. Among these additional diagnoses, lifetime mood disorders (81%) and anxiety disorders (53%) were the most prevalent. With the exception of substance‐related disorders and specific phobias, all disorders assessed were found in considerably higher frequency than in the general population, indicating that OCD is associated with highly complex comorbidity. These data have implications for genetic studies of OCD and disorders related to OCD, as well as for specific psychotherapeutic and psychopharmacologic interventions. Depression and Anxiety 19:163–173, 2004 Published 2004 Wiley‐Liss, Inc.     

Self-injurious skin picking: clinical characteristics and comorbidity.

BACKGROUND: Repetitive skin picking, a self-injurious behavior that may cause severe tissue damage, has received scant empirical attention. The authors examined the demographics, phenomenology, and associated psychopathology in a series of 31 subjects with this problem. METHOD: Subjects were administered the Structured Clinical Interview for DSM-IV for Axis I and Axis II disorders. They also completed several mood questionnaires and a new self-report inventory designed to assess phenomenology, triggers, cognitions, emotions, and consequences associated with skin picking. RESULTS: The mean age at onset on self-injurious skin picking was 15 years, and the mean duration of illness was 21 years. All subjects picked at more than one body area, and the most frequent sites of skin picking were pimples and scabs (87%). The most common comorbid Axis I diagnoses were obsessive-compulsive disorder (OCD; 52%), alcohol abuse/dependence (39%), and body dysmorphic disorder (32%). Forty-eight percent (N = 15) of the subjects met criteria for at least one mood disorder, and 65% (N = 20) for at least one anxiety disorder. The most common Axis II disorders were obsessive-compulsive personality disorder (48%) and borderline personality disorder (26%). CONCLUSION: Self-injurious skin picking is a severe and chronic psychiatric and dermatologic problem associated with high rates of psychiatric comorbidity. It may be conceptualized as a variant of OCD or impulse-control disorder with self-injurious features and may, in some cases, represent an attempt to regulate intense emotions.     

Differences in Axis I and II comorbidity between bipolar I and II disorders and major depressive disorder

OBJECTIVE: To obtain a comprehensive view of differences in current comorbidity between bipolar I and II disorders (BD) and (unipolar) major depressive disorder (MDD), and Axis I and II comorbidity in BD in secondary-care psychiatric settings. METHOD: The psychiatric comorbidity of 90 bipolar I and 101 bipolar II patients from the Jorvi Bipolar Study and 269 MDD patients from the Vantaa Depression Study were compared. We used DSM-IV criteria assessed by semistructured interviews. Patients were inpatients and outpatients from secondary-care psychiatric units. Comparable information was collected on clinical history, index episode, symptom status, and patient characteristics. RESULTS: Bipolar disorder and MDD differed in prevalences of current comorbid disorders, MDD patients having significantly more Axis I comorbidity (69.1% vs. 57.1%), specifically anxiety disorders (56.5% vs. 44.5%) and cluster A (19.0% vs. 9.9%) and C (31.6% vs. 23.0%) personality disorders. In contrast, BD had more single cluster B personality disorders (30.9% vs. 24.6%). Bipolar I and bipolar II were similar in current overall comorbidity, but the prevalence of comorbidity was strongly associated with the current illness phase. CONCLUSIONS: Major depressive disorder and BD have somewhat different patterns in the prevalences of comorbid disorders at the time of an illness episode, with differences particularly in the prevalences of anxiety and personality disorders. Current illness phase explains differences in psychiatric comorbidity of BD patients better than type of disorder.     

Differences in the clinical characteristics of adolescent depressive disorders

Our objective was to analyze differences in clinical characteristics and comorbidity between different types of adolescent depressive disorders. A sample of 218 consecutive adolescent (ages 13-19 years) psychiatric outpatients with depressive disorders was interviewed for DSM-IV Axis I and Axis II diagnoses. We obtained data by interviewing the adolescents themselves and collecting additional background information from the clinical records. Lifetime age of onset for depression, current episode duration, frequency of suicidal behavior, psychosocial impairment, and the number of current comorbid psychiatric disorders varied between adolescent depressive disorder categories. The type of co-occurring disorder was mainly consistent across depressive disorders. Minor depression and dysthymia (DY) presented as milder depressions, whereas bipolar depression (BPD) and double depression [DD; i.e., DY with superimposed major depressive disorder (MDD)] appeared as especially severe conditions. Only earlier lifetime onset distinguished recurrent MDD from first-episode MDD, and newly emergent MDD appeared to be as impairing as recurrent MDD. Adolescent depressive disorder categories differ in many clinically relevant aspects, with most differences reflecting a continuum of depression severity. Identification of bipolarity and the subgroup with DD seems especially warranted. First episode MDD should be considered as severe a disorder as recurring MDD.     

Current comorbidity of psychiatric disorders among DSM-IV major depressive disorder patients in psychiatric care in the Vantaa Depression Study

BACKGROUND: While numerous studies have documented the high comorbidity of major depressive disorder (MDD) with individual mental disorders, no published study has reported overall current comorbidity with all Axis I and II disorders among psychiatric patients with MDD, nor systematically investigated variations in current comorbidity by sociodemographic factors, inpatient versus outpatient status, and number of lifetime depressive episodes. METHOD: Psychiatric outpatients and inpatients in Vantaa, Finland, were prospectively screened for an episode of DSM-IV MDD, and 269 patients with a new episode of MDD were enrolled in the Vantaa Depression MDD Cohort Study. Axis I and II comorbidity was assessed via semistructured Schedules for Clinical Assessment in Neuropsychiatry, version 2.0, and Structured Clinical Interview for DSM-II-R personality disorders interviews. RESULTS: The great majority (79%) of patients with MDD suffered from 1 or more current comorbid mental disorders, including anxiety disorder (57%), alcohol use disorder (25%), and personality disorder (44%). Several anxiety disorders were associated with specific Axis II clusters, and panic disorder with agoraphobia was associated with inpatient status. The prevalence of personality disorders varied with inpatient versus outpatient status, number of lifetime depressive episodes, and type of residential area, and the prevalence of substance use disorders varied with gender and inpatient versus outpatient status. CONCLUSION: Most psychiatric patients with MDD have at least 1 current comorbid disorder. Comorbid disorders are associated not only with other comorbid disorders, but also with sociodemographic factors, inpatient versus outpatient status, and lifetime number of depressive episodes. The influence of these variations on current comorbidity patterns among MDD patients needs to be taken account of in treatment facilities.     

Psychiatric comorbidity in binge-eating disorder as a function of smoking history

OBJECTIVE: To examine the comorbidity of psychiatric disorders in obese women with binge-eating disorder (BED) as a function of smoking history. METHOD: A consecutive series of 103 obese treatment-seeking women with current DSM-IV diagnoses of BED were administered structured diagnostic interviews to assess all DSM-IV Axis I psychiatric disorders. Participants were classified as "never" or "daily" smokers, and lifetime rates of comorbid psychopathology were compared across smoking groups using logistic regression. The study was conducted from February 2003 to March 2005. RESULTS: Smokers were significantly more likely to meet criteria for co-occurring diagnoses of major depressive disorder (p = .03), panic disorder (p = .01), posttraumatic stress disorder (p < .05), and substance abuse or dependence (p = .01). Even after excluding participants with substance use disorders, significant differences remained, with lifetime smokers having significantly higher rates of co-occurring anxiety disorders. CONCLUSIONS: It is possible that for some obese women with BED, binge eating and cigarette smoking share common functions, i.e., both behaviors may serve to modulate negative affect and/or anxiety. Although the current findings are consistent with a view of a common diathesis for the development of impulsive eating, cigarette or other substance use, and additional Axis I psychopathology, prospective longitudinal studies are needed to elucidate the nature of potential pathways.     

Bipolar obsessive-compulsive disorder and personality disorders

OBJECTIVES: Relatively few systematic data exist on the clinical impact of bipolar comorbidity in obsessive-compulsive disorder (OCD) and no studies have investigated the influence of such a comorbidity on the prevalence and pattern of Axis II comorbidity. The aim of the present study was to explore the comorbidity of personality disorders in a group of patients with OCD and comorbid bipolar disorder (BD). METHODS: The sample consisted of 204 subjects with a principal diagnosis of OCD (DSM-IV) and a Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score>or=16 recruited from all patients consecutively referred to the Anxiety and Mood Disorders Unit, Department of Neuroscience, University of Turin over a period of 5 years (January 1998-December 2002). Diagnostic evaluation and Axis I comorbidities were collected by means of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I). Personality status was assessed by using the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II). Socio-demographic and clinical features (including Axis II comorbidities) were compared between OCD patients with and without a lifetime comorbidity of BD. RESULTS: A total of 21 patients with OCD (10.3%) met DSM-IV criteria for a lifetime BD diagnosis: 4 (2.0%) with BD type I and 17 (8.3%) with BD type II. Those without a BD diagnosis showed significantly higher rates of male gender, sexual and hoarding obsessions, repeating compulsions and lifetime comorbid substance use disorders, when compared with patients with BD/OCD. With regard to personality disorders, those with BD/OCD showed higher prevalence rates of Cluster A (42.9% versus 21.3%; p=0.027) and Cluster B (57.1% versus 29.0%; p=0.009) personality disorders. Narcissistic and antisocial personality disorders were more frequent in BD/OCD. CONCLUSIONS: Our results point towards clinically relevant effects of comorbid BD on the personality profiles of OCD patients, with higher rates of narcissistic and antisocial personality disorders in BD/OCD patients.     

Psychiatric diagnosis and quality of life: the additional burden of psychiatric comorbidity

Objectives

To compare quality of life (QoL) in mental health outpatients to non-clinical norms, and examine the associations between QoL and principal diagnosis, number of comorbid Axis I diagnoses, and type of comorbidity.

Methods

Consecutively referred and assessed patients (n = 2024) formed the study sample pool. Of these, 1486 individuals who had completed a QoL instrument at intake and had a principal diagnosis amenable to comparison by group analysis were included in the study. Principal diagnoses were unipolar mood disorder (n = 687), eating disorder (n = 226), bipolar disorder (n = 165), social anxiety disorder (n = 165), generalized anxiety disorder (n = 125), and panic disorder (n = 118). QoL for psychiatric groups was compared to non-clinical norms using a valid and reliable measure.

Results

QoL was significantly impaired in all psychiatric groups compared to nonclinical norms. There was a significant interaction between principal diagnosis and number of comorbid Axis I disorders, controlling for age, sex, marital status, employment, and years of school. The addition of one comorbidity significantly attenuated QoL in social anxiety disorder, panic disorder, and bipolar disorder. For all other conditions, a significant loss in QoL occurred with two or more comorbidities. Axis I depressive and anxiety comorbidity significantly attenuated QoL across all diagnostic groups.

Conclusions

QoL is significantly impaired in psychiatric outpatients and diagnostic groups vary in the extent to which they experience additional QoL burden with increasing comorbidities.