Health-related quality of life and functioning of middle-aged and elderly adults with bipolar disorder

OBJECTIVE: Data characterizing bipolar disorder in older people are scarce, particularly on functional status. We evaluated health-related quality of life and functioning (HRQoLF) among older outpatients with bipolar disorder as well as the relationship of HRQoLF to bipolar illness characteristics. METHOD: We compared community-dwelling middle-aged and older adults (age range, 45 to 85 years) with bipolar disorder (N=54; mean age=57.6 years), schizophrenia (N=55; mean age=58.5 years), or no psychiatric illnesses (N=38; mean age=64.7 years) on indicators of objective functioning (e.g., education, occupational attainment, medical comorbidity) and health status (e.g., Quality of Well-Being scale [QWB] and the Medical Outcomes Study-Short Form Health Survey [SF-36]). Within the group with bipolar disorder, we examined the relationship between HRQoLF and clinical variables (e.g., phase and duration of illness, psychotic symptoms, cognitive functioning). RESULTS: Patients with bipolar disorder were similar in educational and occupational attainment to the normal comparison group, but they obtained lower scores on the QWB and SF-36 (with large effect sizes). Compared with schizophrenia, bipolar disorder was associated with better educational and work histories but similar QWB and SF-36 scores and more medical comorbidity. Patients in remission from bipolar disorder had QWB scores that were worse than those of normal comparison subjects. Greater severity of psychotic and depressive symptoms and cognitive impairment were associated with lower HRQoLF. CONCLUSIONS: Bipolar disorder was associated with substantial disability in this sample of older adults, similar in severity to schizophrenia. Remission of bipolar disorder was associated with significant but incomplete improvement in functioning, whereas psychotic and depressive symptoms and cognitive impairment seemed to contribute to lower HRQoLF.     

Burden of general medical conditions among individuals with bipolar disorder

OBJECTIVE: Treatment of coexisting medical comorbidities may reduce the risk of adverse outcomes among patients with bipolar disorder. We determined the prevalence of general medical conditions in a population-based sample of patients diagnosed with bipolar disorder in the Veterans Administration (VA). METHODS: We conducted a cross-sectional study of patients (n = 4310) diagnosed with bipolar disorder in fiscal year 2001 receiving care at VA facilities located within the mid-Atlantic region. General medical conditions were assessed using ICD-9 codes, and we compared the prevalence of each condition in our bipolar sample with national data on the VA patient population. RESULTS: The mean age was 53 (SD = 13), 10% were women, and 12% African-American. The mean age of the VA national patient population was higher (58 years). The most prevalent conditions among patients with bipolar disorder included cardiovascular (e.g. hypertension, 35%), endocrine (e.g. hyperlipidemia, 23%; diabetes, 17%), and alcohol use disorder (25%). When compared with national data, the prevalence of diabetes was higher in the bipolar cohort than in the national cohort (17.2% versus 15.6%; p = 0.0035). Hepatitis C was more common in the bipolar group than the national cohort (5.9% versus 1.1%; p < 0.001). Lower back pain (15.4% versus 10.6%; p < 0.0001) and pulmonary conditions (e.g. COPD: 10.6% versus 9.4%; p = 0.005) were also more prevalent among the bipolar cohort than the VA national cohort. CONCLUSIONS: Individuals with bipolar disorder possess a substantial burden of general medical comorbidity, and are occurring at an earlier age than in the general VA patient population, suggesting the need for earlier detection and treatment for patients with bipolar disorder.     

General-medical conditions in older patients with serious mental illness.

OBJECTIVE: The burden of medical comorbidities was compared between older (> or =60 years) and younger patients with serious mental illness. METHODS: Patients (N=8,083) diagnosed with schizophrenia, schizoaffective disorder, or bipolar disorder in 2001 were identified from VA facilities in the mid-Atlantic region. Medical comorbidities were identified by an ICD-9-based clinical classification algorithm. RESULTS: Older, versus younger, patients were more likely to be diagnosed with cardiovascular or pulmonary conditions, and less likely to be diagnosed with substance-use disorders or hepatic conditions. CONCLUSIONS: More aggressive detection and management of general-medical comorbidities in older patients with serious mental illness is paramount.     

Medical burden in late-life bipolar and major depressive disorders.

BACKGROUND: Elderly patients with bipolar disorder have been found to have higher mortality than those with major depressive disorder. The authors compare medical burden in elderly patients with bipolar disorder with that in those with major depressive disorder. METHODS: Fifty-four patients with bipolar I or II disorder who were 60 years of age and older were equated 1-to-2 to 108 patients with nonpsychotic, major depressive disorder according to age, sex, race, and lifetime duration of mood disorder illness. Variables examined included the following: Cumulative Illness Rating Scale for Geriatrics (CIRS-G) total scores, body mass index (BMI), and CIRS-G subscale scores. RESULTS: Compared with patients with major depressive disorder, patients with bipolar disorder had similar levels of general medical comorbidity on the CIRS-G total score and number of systems affected but higher BMI. After controlling for multiple comparisons, the endocrine/metabolic and respiratory subscale scores on the CIRS-G were higher for patients with bipolar disorder. CONCLUSION: Although overall medical burden appears comparable in elderly patients with bipolar and those with major depressive disorder, patients with bipolar disorder have higher BMI and greater burden of endocrine/metabolic and respiratory disease.     

The impact of medical comorbidity on acute treatment in major depressive disorder

OBJECTIVE: The authors investigated the impact of medical comorbidity on the acute phase of antidepressant treatment in subjects with major depressive disorder. METHOD: A total of 384 outpatients meeting DSM-III-R criteria for major depressive disorder enrolled in 8-week open treatment with fluoxetine, 20 mg/day. The authors used the Cumulative Illness Rating Scale to measure the burden of medical comorbidity and the 17-item Hamilton Rating Scale for Depression to assess changes in depressive symptoms. The outcome measures were response to treatment (>/=50% reduction in score) and clinical remission (score 相似文献   

Bipolar disorder in older adult inpatients

The literature on bipolar disorder in older adults is very limited, in spite of the fact that the elderly are a growing population in the United States. This retrospective record review study evaluated clinical characteristics and hospital-based resource use patterns among 48 older adults with bipolar disorder, and compared groups with early-onset (EOS) versus late-onset (LOS) bipolar disorder. The mean age of the group was 67.3 years, with no difference in age between EOS and LOS categories. Late onset illness was identified in 29.2% of the group (N = 14). Compared with individuals with EOS, individuals with LOS were 2.8 times more likely to be female. Both groups had extensive medical comorbidity (mean of 3.7 comorbid medical conditions), substantial hospital usage (mean length of stay, 14.8 days) and polypharmacy usage. Bipolar disorder with onset after age 50 is not uncommon among older adults hospitalized on a geropsychiatric unit. Clinical characteristics may differ between individuals with early-onset and late-onset bipolar illness, and resource utilization may be extensive in both groups.     

Relationship of clinical course of illness variables to medical comorbidities in 900 adult outpatients with bipolar disorder

BackgroundMedical illnesses are highly comorbid with bipolar disorder, but their relationship to illness characteristics has not been previously delineated.MethodsThe incidence of 34 medical conditions and 6 poor prognosis factors (PPFs) was derived from answers to a questionnaire in over 900 outpatients with bipolar disorder who gave informed consent. The relationship of PPFs to the number of medical comorbidities was examined by Mann–Whitney U, Pearson r, and logistic regression.ResultsWhen examined individually, each of the 6 PPFs associated with an adverse course of bipolar disorder was significantly related to the number of medical comorbidities patients had. When age, gender, and independence of their relationships to each other were controlled for via regression, 3 of the PPFs remained significant (anxiety disorder, childhood abuse, and age of onset), and having 20 or more prior episodes was a strong trend. The number of PPFs was correlated with the number of comorbidities, although the above 3 PPFs show a similar magnitude of relationship.ConclusionA history of childhood adversity, early age of onset of bipolar disorder, and an anxiety comorbidity were independently related to the number of medical comorbidities that patients experienced as adults. While the nature and mechanisms of this linkage remain to be further explored, the findings indicate the need for greater attention to and treatment of these 3 PPFs in hopes of ameliorating both the adverse course of bipolar illness and the burden of medical comorbidities with which they are associated.     

Medical Co-morbidities Among Patients with Severe Mental Illnesses in a Community Health Facility in Nigeria

To examine prevalence of medical comorbidity (MCM) in schizophrenia (n?=?1310) and in bipolar disorder (n?=?1307) and the association of high burden of MCM (≥3 MCM) with duration of untreated illness, number of episodes, functioning, poly-medication and lifetime hospitalization for the mental disorder. Participants were recruited from a private psychiatric facility in Ibadan, Nigeria between 2004 and 2013 and enquiry made about the lifetime occurrence of 20 common chronic diseases including common tropical diseases. Psychiatric diagnosis was made using the Structured Clinical Interview for DSM IV Axis I disorder (SCID). Except for nutritional anemia, dermatitis and intestinal Helminthiasis, patients with schizophrenia were not at higher odds of reporting MCM than those with bipolar disorder. DUI?≥2 years, episodes of illness?≥3, being on multiple neuroleptics and history of previous hospitalization were significantly associated with high burden of MCM in schizophrenia and episodes of illness?≥3, reduced functioning and history of previous hospitalization with bipolar disorder. Schizophrenia and bipolar disorder are associated with high rates of medical comorbidity. Treatment of this medical comorbidity is essential in order to improve the outcomes for patients with bipolar disorder and schizophrenia.     

Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale.

Reliable quantitative ratings of chronic medical illness burden have proved to be difficult in geropsychiatric practice and research. Thus, the purpose of the study was to demonstrate the feasibility and reliability of a modified version of the Cumulative Illness Rating Scale (CIRS; Linn et al., 1968) in providing quantitative ratings of chronic illness burden. The modified CIRS was operationalized with a manual of guidelines geared toward the geriatric patient and for clarity was designated the CIRS(G). A total of 141 elderly outpatient subjects (two medical clinic groups of 20 each, 45 recurrent depressed subjects, 21 spousally bereaved subjects, and 35 healthy controls) received comprehensive physical examinations, reviews of symptoms, and laboratory testing. These data were then used by nurse practitioners, physician's assistants, and geriatric psychiatrists to compute CIRS(G) ratings of chronic illness burden. As hypothesized, analysis of variance demonstrated significant differences among groups with respect to total medical illness burden, which was highest among medical clinic patients and lowest in control subjects. Good interrater reliability (i.e., intraclass correlations of 0.78 and 0.88 in a subsample of 10 outpatients and a separate group of 10 inpatients, respectively) was achieved for CIRS(G) total scores. Among medical clinic patients, a significant correlation was found, as expected, between CIRS(G) chronic illness burden and capability as quantified by the Older Americans Activities of Daily Living Scale; and between CIRS(G) scores and physicians' global estimates of medical burden. Finally, with repeated measures of illness burden approximately 1 year from symptom baseline, significant rises were detected, as expected. The current data suggest that the CIRS(G) can be successfully applied in medically and psychiatrically impaired elderly subjects, with good interrater reliability and face validity (credibility).     

Early- versus late-onset bipolar II disorder

OBJECTIVE: To compare the clinical features and the outcome between patients with early- and late-onset bipolar II disorder. DESIGN: Case series. SETTING: Outpatient private practice. PATIENTS: One hundred and seventy-nine consecutive outpatients with bipolar II disorder presenting for treatment of a major depressive episode. OUTCOME MEASURES: Duration of illness, severity of depression, recurrences, psychosis, chronicity, atypical features and comorbidity. RESULTS: Patients with early-onset (before 20, 25 or 30 years of age) bipolar II disorder had a significantly longer duration of illness and more recurrences compared with patients with late-onset (after 20, 25 or 30 years of age) bipolar II disorder. All other variables were not significantly different between the 2 groups. CONCLUSIONS: Indicators of worse outcome (severity of depression, psychosis, chronicity, comorbidity) were not significantly different between patients with early- and late-onset bipolar II disorder.     

Adjunctive topiramate treatment for pediatric bipolar disorder: a retrospective chart review

OBJECTIVE: The objective of this study was to evaluate the effectiveness, safety, and tolerability of the anticonvulsant agent, topiramate, as adjunctive treatment for children and adolescents with bipolar disorders. METHODS: The outpatient medical charts of children and adolescents with a Diagnostic and Statistical Manual of Mental Disorders (4th ed.) diagnosis of bipolar disorder, type I or II, and who were treated with topiramate were retrospectively reviewed by two child and adolescent psychiatrists using the Clinical Global Impression (CGI) scale and the Clinical Global Assessment Scale (CGAS). Separate CGI ratings were made for mania and overall bipolar illness. RESULTS: Twenty-six patients (mean age 14 +/- 3.5 years) with bipolar disorder, type I (n = 23) or II (n = 3), who had been treated (mean duration 4.1 +/- 6.1 months) with topiramate (mean dose 104 +/- 77 mg/day) were identified. Response rate (defined by a CGI-Improvement score of < or = 2 at endpoint) was 73% for mania and 62% for overall illness. CGAS scores significantly improved from baseline to endpoint. No serious adverse events were reported. CONCLUSIONS: Although controlled trials are necessary, this retrospective study suggests that topiramate is effective and well tolerated as an adjunctive treatment for children and adolescents with bipolar disorder.     

Prevalence and clinical correlates of medical comorbidities in patients with bipolar I disorder: analysis of acute-phase data from a randomized controlled trial

OBJECTIVE: We studied the relationship between number of medical comorbidities in patients with bipolar I disorder and their demographic and clinical characteristics. METHOD: Data were from 174 patients in the acute phase of the Pittsburgh Maintenance Therapies in Bipolar Disorder (MTBD) study, a randomized controlled trial comparing Interpersonal and Social Rhythm Therapy to an intensive clinical management approach for individuals with a lifetime diagnosis of bipolar I disorder or schizoaffective disorder, manic type, according to Research Diagnostic Criteria, who were receiving adjunctive protocol-driven pharmacotherapy. Patients entered the MTBD study from 1991 to 2000. We examined the acute-phase Hamilton Rating Scale for Depression (HAM-D) and Bech-Rafaelsen Mania Scale scores, demographics, clinical history, and medical comorbidities. RESULTS: Patients with a high number of medical comorbidities had longer duration of both lifetime depression (p = .02) and lifetime inpatient depression treatment (p = .04), had higher baseline HAM-D score (p = .01), and were more likely to be treated for a depressed clinical state during the acute phase of the MTBD study (p = .05). Moreover, higher severity of baseline medical comorbidities predicted slower decreases in HAM-D score among depressed (p = .004) and mixed/cycling (p = .003) patients even after controlling for baseline HAM-D score. CONCLUSIONS: Medical illness is correlated with several indicators of poorer prognosis and outcome in bipolar I disorder. Not only do preventing and treating medical comorbidities in bipolar patients decrease the morbidity and mortality related to physical illness, but they could also enhance psychological well-being and possibly improve the course of bipolar illness. Identification of characteristics in bipolar I patients that are correlated to increased risk for medical comorbidities is a fundamental step in understanding the nature of the relationship between bipolar disorder and medical illness.     

Affective illness in children and adolescents: patterns of presentation in relation to pubertal maturation and family history

Affective illness is now recognized as a common problem in all age groups, and the various patterns have been well documented in adults. The objective of this study was to evaluate the patterns of affective illness in children and determine changes with increasing age and family history. One hundred children/adolescents with affective illness (72 boys and 28 girls; age range 2-20 years; mean age 10 years), who were consecutively referred to the Pediatric Behavioral Neurology Program, Children's Medical Center at Dallas, were evaluated for the pattern and course of affective illness symptoms, family history, and pubertal stage. Seven patterns of affective illness were identified. In the 65 prepubertal children (Tanner stage 1), disorders with hypomanic/manic symptomatology were most common (47/65, 72%): mania (2/65, 3%), hypomania (8/65, 12%), cyclothymia (11/65, 17%), juvenile rapid-cycling bipolar disorder/ultradian cycling bipolar disorder (8/65, 12%), and dysthymia with bipolar features (18/65, 28%). In contrast, the 26 fully pubertal adolescents (Tanner stages 3-5) had a predominance of patterns with only depressive symptomatology (16/26, 61%): dysthymia (4/26, 15%) and depression (12/26, 46%), along with juvenile rapid-cycling bipolar disorder/ultradian cycling bipolar disorder (6/26, 23%). Affective illness, alcoholism, and drug abuse were prominent in the family histories, regardless of the child's pattern of symptoms. Family histories of character disorder and Briquet's syndrome were also common, but thought disorder, suicide, and homicide were infrequent. This study supports the clinical observation that the presentation of affective illness changes with age: manic features predominate in younger children, whereas depressive symptomatology is more evident with pubertal maturation.     

Illness burden and medical comorbidity in the Systematic Treatment Enhancement Program for Bipolar Disorder

Magalhães PV, Kapczinski F, Nierenberg AA, Deckersbach T, Weisinger D, Dodd S, Berk M. Illness burden and medical comorbidity in the Systematic Treatment Enhancement Program for Bipolar Disorder. Objective: Coexisting chronic medical conditions are common in bipolar disorder. Here, we report the prevalence and correlates of medical comorbidity in patients enrolled in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP‐BD). We were particularly interested in associations between variables reflecting illness chronicity and burden with comorbid medical conditions. Method: We used intake data from the open‐label component of the STEP‐BD. History of medical comorbidity was obtained from the affective disorders evaluation, and its presence was the outcome of interest. The sample size in analyses varied from 3399 to 3534. We used multiple Poisson regression to obtain prevalence ratios. Results: The prevalence of any medical comorbidity in the sample was 58.8%. In addition to demographic variable, several clinical characteristics were associated with the frequency of medical comorbidity. Having more than 10 previous mood episodes, childhood onset, smoking, lifetime comorbidity with anxiety, and substance use disorders were independently associated with having a medical comorbidity in the final multivariate model. Conclusion: The results presented here reveal strong associations between variables related to illness chronicity and medical burden in bipolar disorder. This lends further support to recent multidimensional models incorporating medical morbidity as a core feature of bipolar disorder.     

Concurrent medical conditions with pediatric bipolar disorder

PURPOSE OF REVIEW: Pediatric bipolar disorder is a serious mental illness with significant morbidity and mortality. A variety of medical and psychiatric conditions occur concurrently with bipolar disorder. These conditions have been more frequently reported in adults. There prevalence in pediatric bipolar disorder is less known. This report is particularly relevant and timely due to the chronic nature of bipolar disorder and the profound impact on health that its treatments can bring. This evolving area needs to be understood to maximize clinical outcomes. RECENT FINDINGS: While little has been published about pediatric bipolar disorder and its concurrent medical conditions specifically, many reports that focused on adults included pediatric subjects. Concurrent medical conditions fall into a small number of groupings. (1) Those that are related to bipolar disorder or its treatment. (2) Medical conditions that mimic mania. (3) Conditions that occur more commonly in patients with bipolar disorder, but do not appear to be related to its treatment. (4) Those that may be related to risk behaviors associated with bipolar disorder. SUMMARY: Many medical conditions that occur concurrently with bipolar disorder in adults are also present in youth. The premature (iatrogenic) initiation of some conditions related to its treatment may pose specific ethical dilemmas for those treating psychiatric conditions.     

Bipolar disorder: similarities and differences between patients with illness onset before and after 65 years of age

BACKGROUND: Recent reports have suggested that bipolar disorder beginning in late life is strongly associated with organic brain disease whereas early-onset cases are more likely to be associated with a family history of mood disorder. It is not yet clear whether late-onset bipolar disorder is therefore a "phenocopy" of the classic early-onset disorder, sharing symptoms but having a different etiology, or whether people with early- and late-onset bipolar disorder have a common underlying vulnerability that interacts with age-specific triggering factors. AIM: The present study examines the administrative records of patients treated for bipolar disorder, to establish whether differences between early- and late-onset cases might be consistent with their having distinct etiological processes. METHODS: We used a file containing administrative data for all patients with a diagnosis of bipolar disorder who were in contact with the health services of Western Australia between 1980 and 1998. For each contact with psychiatric services, the file provided the patient's age, gender, marital status, educational achievement, employment, ethnic origin, postcode of residence, primary and secondary diagnoses, and the duration of the (administrative) episode. Subjects were designated "late-onset" when their first contact with psychiatric services occurred at or after 65 years of age. RESULTS: Between 1980 and 1998 there were 33,004 service contacts involving 6,182 individuals whose primary or secondary clinical diagnosis was bipolar disorder. This indicates that the prevalence of bipolar disorder in Western Australia is approximately 0.4%. Most patients had an onset of illness between 15 and 45 years of age, but 492 patients (8%) were aged 65 years or over at the time of first contact with mental health services. We observed that the relative frequency of late-onset bipolar disorder increased between 1980 and 1998 (1% to 11%). There was an excess of women in our cohort (3:2), but no difference in the age of onset between males and females. Early onset was associated with a subsequently lower socioeconomic status, aboriginal ethnicity, and a higher frequency of mixed affective episodes, other mood disorders, schizophrenia, and schizoaffective disorder. Patients with late-onset bipolar disorder were more likely to have a diagnosis of organic mental disorder recorded (2.8% vs. 1.2%). There was no evidence of a bimodal pattern of age-specific incidence. CONCLUSION: The observed differences between early- and late-onset bipolar disorders are small and most likely attributable to differences in the duration of illness. Only a small proportion of patients with bipolar disorder were ever diagnosed with an organic mental disorder, which suggests that the reported association between late onset of illness and organic factors may be of limited clinical relevance.     

Clinical variables and implications of the personality on the outcome of bipolar illness: a pilot study

Outcome in bipolar patients is affected by comorbidity. Comorbid personality disorders are frequent and may complicate the course of bipolar illness. This pilot study examined a series of 40 euthymic bipolar patients (DSM-IV criteria) (bipolar I disorder 31, bipolar II disorder 9) to assess the effect of clinical variables and the influence of comorbid personality on the clinical course of bipolar illness. Bipolar patients with a diagnosis of comorbid personality disorder (n = 30) were compared with “pure” bipolar patients (n = 10) with regard to demographic, clinical, and course of illness variables. Comorbid personality disorder was diagnosed in 75% of patients according to ICD-10 criteria, with obsessive-compulsive personality disorder being the most frequent type. Sixty-three per cent of subjects had more than one comorbid personality disorder. Bipolar patients with and without comorbid personality disorder showed no significant differences regarding features of the bipolar illness, although the group with comorbid personality disorder showed a younger age at onset, more depressive episodes, and longer duration of bipolar illness. In subjects with comorbid personality disorders, the number of hospitalizations correlated significantly with depressive episodes and there was an inverse correlation between age at the first episode and duration of bipolar illness. These findings, however, should be interpreted taking into account the preliminary nature of a pilot study and the contamination of the sample with too many bipolar II patients.     

Medical comorbidity in patients with schizophrenia and alcohol dependence

BackgroundSchizophrenia and alcohol dependence are major risk factors for a variety of medical problems, yet there has been little research on the medical status of patients in whom both conditions coexist.MethodsWe assessed the prevalence and severity of medical illness in 80 patients with schizophrenia or schizoaffective disorder and comorbid alcohol use disorders who entered a controlled trial of monitored naltrexone treatment, and analyzed the relationship between medical illness burden and demographic variables, alcohol and other substance use, and psychosis. Participants underwent physical examination, laboratory tests, medical record review and standardized assessments of medical illness burden, alcohol and other substance use, and psychosis. Nested block multiple regression analyses were used to assess the contribution to illness burden made by demographic variables, alcohol and substance use, and psychosis severity.Results83% of participants had at least one chronic medical illness, hypertension being the most common (43%). Medical comorbidity in this cohort was more severe than for schizophrenia patients in the CATIE trial (Chwastiak, L., Rosenheck, R., McEvoy, J.P., Keefe, R.S., Swartz, M.S., Lieberman, J.A., 2006. Interrelationships of Psychiatric Symptom Severity, Medical Comorbidity, and Functioning in Schizophrenia. Psychiatr. Serv., 57(8), 1102–1109.); the prevalence of hypertension, chronic obstructive pulmonary disease, and coronary artery disease, was more than twice greater. Medical illness burden correlated with alcohol use severity, but appeared to be independent of other substance use or psychosis severity.ConclusionsPatients with co-occurring alcohol use disorder may have significantly more medical illness burden than patients with schizophrenia or schizoaffective disorder alone. Interventions to reduce alcohol use may be necessary to lessen medical morbidity.     

Axis III disorders in treatment-resistant major depressive disorder

A number of naturalistic studies have found that medical co-morbidity conveys a worse long-term prognosis in the treatment of major depressive disorder (MDD). The purpose of this study was to test whether the presence of co-morbid medical conditions can predict clinical response in patients with treatment-resistant MDD (TRD) treated with open-label nortriptyline (NT). Ninety-two patients with TRD entered a 6-week open trial of NT. The presence of co-morbid medical disorders was assessed during the screen visit. The degree of medical co-morbidity during the screen visit was then quantified with the use of the Cumulative Illness Rating Scale-Geriatric Version (CIRS(G)). We tested whether CIRS(G) scores predicted clinical response or depression severity at endpoint. CIRS scores at baseline did not significantly predict treatment response. The results of this study fail to confirm the relationship between co-morbid medical conditions and poor outcome in the treatment of MDD for patients with TRD. Patients with TRD and co-morbid medical conditions can be expected to respond to antidepressants as well as their counterparts without concurrent axis III co-morbidity. The CIRS(G) scores for this TRD sample were lower than those reported for geriatric depression, or for depressed patients with severe medical illness, common in medical and surgical wards and in most specialty clinics of large academic centers. Thus, the present results cannot be generalized to such populations.