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Predicting diagnostic change among patients diagnosed with first-episode DSM-IV-TR major depressive disorder with psychotic features. 2013

Paola Salvatore, and Ross J Baldessarini, and Hari-Mandir K Khalsa, and Mario Amore, and Cristina Di Vittorio, and Gabriella Ferraro, and Carlo Maggini, and Mauricio Tohen
International Consortium for Psychotic and Bipolar Disorders Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478-9106, USA. psalvatore@mclean.harvard.edu

OBJECTIVE Longitudinal studies beginning from onset of major depressive disorder (MDD) with psychotic features in young adults are rare; therefore, in this study, subjects across a wide age range were included. Since psychotic MDD may be unstable diagnostically, we systematically evaluated such patients prospectively from first episode to ascertain predictors of later diagnostic change. METHODS In this prospective naturalistic study, we recruited patients with DSM-IV-TR psychotic MDD from 1989 through 2003 at psychiatric inpatient units in Massachusetts and Italy and followed them from first hospitalization to compare demographic, antecedent, and first-episode clinical characteristics for associations with later changes of diagnosis based on interviews using the Structured Clinical Interview for DSM-III-R, Patient Version. RESULTS Within a mean (SD) of 4.0 (2.7) years, diagnoses among 107 subjects aged 34.6 (16.2) years (range, 10-82 years) who were experiencing a first lifetime DSM-IV-TR psychotic MDD episode changed in 29.9% to DSM-IV-TR bipolar disorder (18.7%) or schizoaffective disorder (11.2%). Factors associated with stable diagnoses of psychotic MDD included ontological anguish (χ(2) = 13.8, P < .0001), nihilistic delusions (χ(2) = 4.47, P = .034), and weight loss (χ(2) = 4.69, P = .030) at initial syndromal presentation. Factors preceding diagnoses of bipolar disorder included antecedent impulsivity (χ(2) = 9.10, P = .003), ICD-10 mixed states at intake (χ(2) = 19.4, P < .0001), and previous hypomanic symptoms (χ(2) = 13.7, P = .002). Factors predicting later schizoaffective diagnoses included mood-incongruent delusions (χ(2) = 9.17, P = .002) and somatosensory hallucinations (χ(2) = 9.53, P = .033) at intake, previous functional decline (χ(2) = 8.13, P = .008), initial Schneiderian first-rank symptoms (χ(2) = 10.6, P = .005), and meeting criteria for ICD-10 schizoaffective disorder at intake (χ(2) = 24.9, P < .0001). CONCLUSIONS Among patients who initially met DSM-IV-TR criteria for first-episode psychotic MDD, early indications of features typically associated with bipolar disorder or with nonaffective psychoses, respectively, strongly predicted later diagnostic change to bipolar disorder or schizoaffective disorders. The findings support the value of psychopathological details in improving diagnostic and prognostic criteria for complex illnesses.

UI MeSH Term Description Entries
D007558 Italy A country in southern Europe, a peninsula extending into the central Mediterranean Sea, northeast of Tunisia. The capital is Rome. Sardinia
D008137 Longitudinal Studies Studies in which variables relating to an individual or group of individuals are assessed over a period of time. Bogalusa Heart Study,California Teachers Study,Framingham Heart Study,Jackson Heart Study,Longitudinal Survey,Tuskegee Syphilis Study,Bogalusa Heart Studies,California Teachers Studies,Framingham Heart Studies,Heart Studies, Bogalusa,Heart Studies, Framingham,Heart Studies, Jackson,Heart Study, Bogalusa,Heart Study, Framingham,Heart Study, Jackson,Jackson Heart Studies,Longitudinal Study,Longitudinal Surveys,Studies, Bogalusa Heart,Studies, California Teachers,Studies, Jackson Heart,Studies, Longitudinal,Study, Bogalusa Heart,Study, California Teachers,Study, Longitudinal,Survey, Longitudinal,Surveys, Longitudinal,Syphilis Studies, Tuskegee,Syphilis Study, Tuskegee,Teachers Studies, California,Teachers Study, California,Tuskegee Syphilis Studies
D008297 Male Males
D008404 Massachusetts State bounded on the north by New Hampshire and Vermont, on the east by the Atlantic Ocean, on the south by Connecticut and Rhode Island, and on the west by New York.
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011569 Psychiatric Status Rating Scales Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness. Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
D011599 Psychopathology The study of significant causes and processes in the development of mental illness.
D011618 Psychotic Disorders Disorders in which there is a loss of ego boundaries or a gross impairment in reality testing with delusions or prominent hallucinations. (From DSM-IV, 1994) Psychoses,Psychosis, Brief Reactive,Schizoaffective Disorder,Schizophreniform Disorders,Psychosis,Brief Reactive Psychoses,Brief Reactive Psychosis,Disorder, Psychotic,Disorder, Schizoaffective,Disorder, Schizophreniform,Disorders, Psychotic,Disorders, Schizoaffective,Disorders, Schizophreniform,Psychoses, Brief Reactive,Psychotic Disorder,Reactive Psychoses, Brief,Reactive Psychosis, Brief,Schizoaffective Disorders,Schizophreniform Disorder
D003710 Demography Statistical interpretation and description of a population with reference to distribution, composition, or structure. Demographer,Demographic,Demographic and Health Survey,Population Distribution,Accounting, Demographic,Analyses, Demographic,Analyses, Multiregional,Analysis, Period,Brass Technic,Brass Technique,Demographers,Demographic Accounting,Demographic Analysis,Demographic Factor,Demographic Factors,Demographic Impact,Demographic Impacts,Demographic Survey,Demographic Surveys,Demographic and Health Surveys,Demographics,Demography, Historical,Demography, Prehistoric,Factor, Demographic,Factors, Demographic,Family Reconstitution,Historical Demography,Impact, Demographic,Impacts, Demographic,Multiregional Analysis,Period Analysis,Population Spatial Distribution,Prehistoric Demography,Reverse Survival Method,Stable Population Method,Survey, Demographic,Surveys, Demographic,Analyses, Period,Analysis, Demographic,Analysis, Multiregional,Demographic Analyses,Demographies, Historical,Demographies, Prehistoric,Distribution, Population,Distribution, Population Spatial,Distributions, Population,Distributions, Population Spatial,Family Reconstitutions,Historical Demographies,Method, Reverse Survival,Method, Stable Population,Methods, Reverse Survival,Methods, Stable Population,Multiregional Analyses,Period Analyses,Population Distributions,Population Methods, Stable,Population Spatial Distributions,Prehistoric Demographies,Reconstitution, Family,Reconstitutions, Family,Reverse Survival Methods,Spatial Distribution, Population,Spatial Distributions, Population,Stable Population Methods,Technic, Brass,Technique, Brass

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