Literature DB >> 34909002

Lifetime Psychiatric Comorbidity and Diagnostic Trajectories in an Italian Psychiatric Sample.

Antonio Bruno1, Antonella Mattei2, Federico Arnone1, Arianna Barbieri1, Valerio Basile1, Clemente Cedro1, Laura Celebre1, Carmela Mento1, Amelia Rizzo1, Maria Catena Silvestri1, Maria Rosaria Anna Muscatello1, Rocco Antonio Zoccali1, Gianluca Pandolfo1.   

Abstract

OBJECTIVE: Comorbidity in psychiatric patients has been widely examined in the literature, enucleating the role in misinterpretation of symptom's root in a multi-disease background, as well as the impact on the quality of life, outcome, and health-care effects. This research aimed to examine, in an Italian population of psychiatric patients, the diagnostic continuum in the context of lifetime psychiatric comorbidity, assessing possible differences related to the onset disorder.
METHOD: A retrospective analysis of medical records of 458 subjects, in which various psychiatric diagnoses were represented and categorized in 16 nosographic classes, was conducted.
RESULTS: Results showed that "Bipolar disorder" (22.06%) was the most frequent diagnosis, "Eating disorder" had the earliest age onset (Mean age years = 16 ± 1.41), and "Schizophrenia" showed the longest disease duration (Mean years = 24.20±12.76). Moreover, 54,4% of the final sample presented at least one psychiatric comorbidity in disease history, while "Other personality disorders" was the most comorbidity-associated diagnosis, representing 29% of all the cases with more than 3 past diagnoses. Heterotypic transition was observed in fairly all considered onset diagnoses, exception made for "Schizophrenia" with 75% of the subjects showing homotypic progression.
CONCLUSIONS: Our results suggest a tendency to make multiple diagnoses over psychiatric patients' lifetime in the majority of cases, often escaping from the original onset nosographic domain. More generally, our findings agree with a broad consensus that describes psychiatric symptomatic dimensions rather overlapped and correlated with each other, leading to a more transdiagnostic clinical approach.
© 2020 Giovanni Fioriti Editore s.r.l.

Entities:  

Keywords:  comorbidity; diagnostic trajectories; heterotypic pattern; homotypic pattern

Year:  2020        PMID: 34909002      PMCID: PMC8629092          DOI: 10.36131/cnfioritieditore20200501

Source DB:  PubMed          Journal:  Clin Neuropsychiatry        ISSN: 1724-4935


A large amount of literature found out that from one quarter to one-third of the population suffered from psychiatric disorders in the past year and comorbidity has been evaluated to be present roughly up to 45% of them, i.e. it is a wide-spread occurrence (Bijl, Ravelli, & van Zessen, 1998; Andrews, Slade, & Issakidis, 2002; Jacobi, Wittchen, Hölting, Höfler, Pfister & Lieb, 2004; Kessler, Avenevoli, & McLaughlin, 2012; Plana-Ripoll, Pedersen, Holtz, Benros, Dalsgaard, De Jonge & Gunn, 2019). The term “comorbidity” means the coexistence of different diseases in an individual (Klerman, 1990; Strakowski, Keck, McElroy, Lonczak, & West, 1995; Andrews, 1996; Kraemer, Shrout, & Rubio-Stipec, 2007). Some evidence over the last three decades has established that comorbidity is the rule rather than the exception among patients (Goldberg & Fagin-Jones, 2004). This condition led to a debate about the interpretation of its high rates, as it has been proposed as a way to cluster diseases, based on the assumption that two disorders occur more frequently together since they have a common root-cause (Andrews, Goldberg, Krueger, Carpenter, Hyman, Sachdev & Pine, 2009). Comorbidity is often investigated by studying composite measures defined on two sets of items (i.e. correlation between total scores on checklists) or two diagnoses. This kind of methodology assumes that symptoms are viewed as merely passive indicators of latent conditions rather than properties with their casual relevance. Therefore, when a symptom arises, it can cause other symptoms on their own. According to this approach, symptoms are not viewed as indicators of latent conditions, but as components in a network; comorbidity is hypothesized to result from direct association among symptoms of multiple disorders. Thus, direct relations among symptoms could exist, and, as a result of this, we could find differences in how comorbidity occurs and then develops in each patient. (Borsboom, Cramer, Schmittmann, Epskamp, & Waldorp, 2011). Since the rate of comorbidity has been studied, it appears to be useful in the clinical practice as it counts as a criterion to analyze the risks and clinical factors among different diseases (Andrews et al., 2009). Nevertheless, comorbidity raised a problem since it indicates the tough task to diagnose associated disorders, in other words the difference between a symptom of a disorder and another distinct disease can be misunderstood because in this field boundaries among disorders are often shaded (Kendell & Jablensky, 2003). The critical question is whether psychiatric syndromes are separated from one another, and from normality, by “zones of rarity” or whether they are simply not connected to each other in a multidimensional area where variation in symptoms and etiology is not continuous (Kendell & Jablensky, 2003). Also, comorbidity has been investigated for the impact on the quality of life, outcome, and health-care effects: some evidence proved that it is associated with a negative outcome and functional disabilities (Schoevers, Deeg, van Tilburg, & Beekman, 2005). For instance, the presence of comorbid diseases is linked with longer hospitalization, higher costs because of the amount of care needed. Spoorthy et al. (2019) pointed out that comorbidity led patients to severe illness and worse acute episodes; furthermore, it is associated with longer episodes and poorer remission and recovery, with nuanced symptoms. Most of all it causes a poorer quality of life and poorer treatment response, delayed diagnosis, severe medication side-effect and nonadherence with treatment (Spoorthy, Chakrabarti, & Grover, 2019). Based on this background, this research aimed to examine, in an Italian population of psychiatric patients, the diagnostic continuum in the context of lifetime psychiatric comorbidity, assessing possible differences related to the onset disorder.

Materials and methods

A retrospective analysis of the medical records of the Psychiatric Unit of the University Hospital of Messina - Italy, of the period January 2014 - December 2018 was conducted. Psychiatric disorders have been categorized in 16 nosographic diagnosis: 1) Schizophrenia; 2) Other psychosis; 3) Bipolar Disorder; 4) Major Depressive Disorder; 5) Panic Disorder; 6) Obsessive-compulsive Disorder; 7) Other Anxiety Disorders; 8) Borderline Personality Disorder; 9) Other Personality Disorders; 10) Eating Disorders; 11) Drug Addiction; 12) Impulse Control Disorder; 13) Neurocognitive Disorder; 14) Sleep Disorders; 15) Dissociative Disorder; 16) Pathological Gambling Disorder. Descriptive analyses were used to illustrate the characteristics of the sample. The discrete and nominal variables were described through frequencies and percentages and the quantitative variables were expressed in terms of mean and standard deviation (S.D.). A regression model of Cox proportional Hazard Ratio was used to determine the risk that patients with an onset diagnosis could develop other disorders on the lifetime since onset disorder. The risk was reported as hazard ratios (HRs) with 95% confidence intervals (95% CI) and the onset diagnosis was chosen as independent variable and the current diagnosis as dependent variable (Presence/Absence). Cox regression analysis was carried out on the whole sample, stratifying by gender. All the data were recorded electronically, and statistical analyses were carried out using the Stata Statistical Software: Release 15 (Stata Corp LP, College Station, TX, USA).

Results

Sample features

The final sample includes 485 subjects, 259 females (53.4%) and 226 males (46.6%), aged between 18 and 82 years old (Mean age ± S.D. = 47.1 ± 14.9 years), with a mean disease duration of 17.1 ± 13.5 years. shows the distribution of actual diagnoses, age of onset, and disease duration of the whole sample. Data analysis highlighted Bipolar Disorder as the most common disease (22.06%), followed by Other Personality Disorders (21.65%) and Other psychosis (21.24%); Sleep Disorders, Pathological Gambling Disorder and Panic Disorders were not present. Frequency of current diagnosis, age of onset, and disease duration in 485 patients Regarding the age of onset, we have found the earliest onset in Eating Disorders (Mean age = 16 ± 1.41), followed by Borderline Personality Disorder (Mean age = 19.44 ± 9.49) and Schizophrenia (Mean age = 22.34 ± 7.50). Concerning disease duration, Schizophrenia was the longest-lasting (Mean years = 24.20 ± 12.76), followed by Bipolar Disorder (Mean years = 21.38 ± 14.30).

Comorbidity

reports the psychiatric comorbidity related to the current diagnosis. Data analysis showed that 54.4% (n = 264) of the sample presented at least one psychiatric comorbidity in his disease history, while the remaining 45.6% (n = 221) received a unique diagnosis. Regarding current diagnosis, “Other Personality Disorders” was the most comorbidity-associated diagnosis, representing 29% of all the cases with more than 3 past diagnoses, followed by “Borderline Personality Disorder” (22.58%), “Bipolar Disorder” (16.13%) and “Major Depressive Disorder” (16.13%). Sample stratified by presence and number of previous diagnoses

Diagnosis progression

reports the frequency of current diagnosis according to onset disorder. Data analysis showed heterotypic transition diagnostic patterns for all the onset diagnoses considered, suggesting a tendency to make multiple diagnoses over psychiatric patients' lifetime. A diagnostic trend exception (homotypic pattern) emerged for “Schizophrenia” patients, with 75% of the subjects continued to receive a diagnosis in the psychotic disorder's spectrum (Schizophrenia/Other psychotic disorders) life-time. Frequency distribution of current diagnoses by the onset diagnosis In order to determine the patient's risk to develop other disorders on the lifetime since onset disorder, a Cox proportional hazards regression models was performed (). In lifetime psychiatric comorbidities, the risk of developing Schizophrenia in patients who had Other psychotic disorders as onset diagnosis was significantly higher (HR 6.96, 95% CI 1.10 to 44.22, p=0.040). The results showed a lower risk of developing Other psychotic disorders in those who had Other psychotic disorders also as onset diagnosis: HR 0.10, 95% CI 0.01 to 0.89, p=0.039. Women with onset diagnosis of Bipolar Disorders had a high risk to develop Borderline Personality Disorder (HR 29.82, 95% CI 1.07 to 828.29, p=0.045). Onset diagnosis of depression was significantly associated with a lower risk both of developing Other psychotic disorders and of continuing to be depressed (HR 0.39, 95% CI 0.17 to 0.91, p=0.029; HR 0.34, 95% CI 0.14 to 0.85, p=0.021, respectively). These results were confirmed also after stratification by sex. In patients who had been diagnosed with Other Personality Disorders, the risk of developing depression was increased (HR 4.06, 95% IC 1.18 to 14.00, p=0.026). Estimate of hazard ratio by Cox proportional hazards regression models, risk of patients with onset diagnosis could develop other disorders

Discussion

The study of comorbidity in psychiatry carries an important diagnostic role, since the possible overlapping of different symptoms, deriving from other mental diseases, could lead to confusing the traits of the main disease with those due to an ignored condition of comorbidity (Kessler, 1997; Maj, 2005). Furthermore, although not linked to causality relationships, the coexistence of different diseases can be held accountable for mutual worsening of symptoms, as well as insufficient therapeutic response and worse disease course (Charlson, Pompei, Ales, & MacKenzie, 1987; Hall, Lynskey, & Teesson, 2001; Wancata, Benda, Windhaber, & Nowotny, 2001). Understanding the reasons why two or more mental disorders frequently appear together as comorbid, could bring benefits through the detection of new and more efficient strategies, in terms of prevention and treatment, with a positive impact on patients’ management and healthcare expenditure (Hochlehnert, Niehoff, Herzog, & Löwe, 2007; Wolff, Heister, Normann, & Kaier, 2018). The present study is part of a research line that starts with the observation of high comorbidity rates among psychiatric disorders (Plana-Ripoll et al., 2019). The first attempts to organize these findings in an explanatory framework have examined the role of so-called "higher-order" psychopathological dimensions, inclusive of a series of disorders that shared the fundamental traits of the Internalizing (anxiety, depression), Externalizing (hyperactivity, conduct) and Psychotics (schizophrenia, bipolar disorders) (Kotov, Krueger, Watson, Achenbach, Althoff, Bagby, Brown et al., 2017). However, the research results showed that these dimensions are often overlapped and correlated with each other, suggesting the possible existence of a general factor of psychopathology, the "P factor", which could explain the variance between psychiatric symptoms and be predictive of different outcomes, including impairment of general and socio-occupational functioning (Lahey, Krueger, Rathouz, Waldman, & Zald, 2017). Our study showed that 54.4% of the sample presented at least one-lifetime psychiatric comorbidity, according to previous population studies reporting one or more lifetime diagnoses in 45-54% of individuals with a mental disorder (Bijl et al., 1998; Andrews et al., 2002; Jacobi et al., 2004; Kessler et al., 2012). “Personality Disorders” (Borderline Personality Disorder + Other Personality Disorders) was the most comorbidity-associated diagnostic class in our sample, presenting more than 3 previous diagnoses in 51.5% of the cases; this finding concurs with studies in literature indicating comorbidity prevalence rates of 42% in Cluster A and 83% in Cluster B Personality Disorders (Lenzenweger, Lane, Loranger, & Kessler, 2007). These clinical conditions are linked to higher recurrence rates, poor response or compliance to treatment, and a higher risk of suicidal behavior, representing a therapeutical challenge for mental health professionals. Concerning diagnostic trajectories, in our sample heterotypic transition diagnostic patterns emerged substantially for all the onset diagnoses considered, except for the "Schizophrenia" category of whom 75% of the subjects have been receiving a psychotic-class diagnosis (Schizophrenia/Other psychotic disorders) lifetime. This data is in accordance with disorder features, representing Schizophrenia a stable diagnosis with the longest disease progression among other considered pathologies (Mean disease duration years = 24.20 ± 12.76) and, consequently, with a diagnostic homotypic evolutionary pattern. Moreover, a significantly higher risk to developing Schizophrenia and Borderline Personality Disorder emerged in patients who had Other psychotic disorder and Bipolar disorder as onset diagnosis, respectively. Finally, regarding gender differences, no significant differences emerged, except for women diagnosed with the onset of Bipolar disorders who presented a high risk of developing Borderline personality disorder. The obtained results should be interpreted with extreme caution due to several limitations: first of all, the relatively small sample size does not allow to adequately evaluating comorbidity and diagnostic progression of some diagnostic classes (i.e OCD and Eating disorders). Another limitation is represented by the restricted recruitment area, so this may limit the generalizability and validity of the obtained results. Furthermore, the retrospective study design based on past clinical records can raise concern on the possible influence of diagnostic biases, as well as on the underestimation of lifetime prevalence of disorders considered. Despite the limitations, the results of the study highlighted a tendency to make multiple diagnoses over psychiatric patients' lifetime in the majority of cases, often escaping from the original onset nosographic domain. More generally, our findings agree with a broad consensus that describes psychiatric symptomatic dimensions rather overlapped and correlated with each other, leading to a more transdiagnostic clinical approach. Further studies on larger sample more representative of the general population and conducted with standardized and codified methods to collect the data on the categorical diagnoses are needed, in order to better define the important aspects of lifetime comorbidity and diagnostic trajectories of psychiatric disorders.
Table 1.

Frequency of current diagnosis, age of onset, and disease duration in 485 patients

FrequencyAge of onset(Years)Disease duration(Years)
Current diagnosisN%MeanSDMeanSD
Schizophrenia357.2222.347.5024.2012.76
Other Psychoses10321.2427.0915.1413.4711.61
Bipolar disorder10722.0630.9014.1521.3814.30
Depression8216.9137.8016.5617.2713.83
Obsessive-compulsive Disorder30.6233.0014.1815.3319.73
Other anxiety disorders10.2144.000.001-
Borderline Personality Disorder357.2219.449.4917.2410.93
Other personality disorder10521.6529.9313.9015.5912.76
Eating disorders20.4116.001.4112.0012.73
Substance abuse10.2150.000.001-
Impulse control disorder30.6244.0012.7717.6728.87
Neurocognitive disorder51.0344.8025.3014.2018.93
Dissociative disorder30.6235.007.001-
TotalTotal 485100.0029.8915.0617.2913.51
Table 2.

Sample stratified by presence and number of previous diagnoses

Previous DiagnosesNumber of previous diagnoses
Current diagnosis, n (%)Total N=485Absent n=221Present n=2641 previos diagnoses n=1202 previous diagnoses n=743 previous diagnoses n=39More than 3 previous diagnoses n=31
Schizophrenia35 (7.22)9 (4.07)26 (9.85)10 (8.33)9 (12.16)6 (15.38)1 (3.23)
Other Psychoses103 (21.24)64 (28.96)39 (14.77)26 (21.67)9 (12.16)2 (5.13)2 (6.45)
Bipolar disorder107 (22.06)42 (19.00)65 (24.62)22 (18.33)24 (32.43)14 (35.90)5 (16.13)
Depression82 (16.91)44 (19.91)38 (14.39)19 (15.83)8 (10.81)6 (15.38)5 (16.13)
Obsessive-compulsive Disorder3 (0.62)1 (0.45)2 (0.76)0 (0.00)0 (0.00)1 (2.56)1 (3.23)
Other anxiety disorders1 (0.21)1 (0.45)0 (0.00)----
Borderline Personality Disorder35 (7.22)10 (4.52)25 (9.47)9 (7.50)5 (6.76)4 (10.26)7 (22.58)
Other personality disorder105 (21.65)39 (17.65)66 (25.00)32 (26.67)19 (25.68)6 (15.38)9 (29.03)
Eating disorders2 (0.41)1 (0.45)1 (0.38)1 (0.83)0 (0.00)0 (0.00)0 (0.00)
Substance abuse1 (0.21)1 (0.45)0 (0.00)----
Impulse control disorder3 (0.62)2 (0.90)1 (0.38)1 (0.83)0 (0.00)0 (0.00)0 (0.00)
Neurocognitive disorder5 (1.03)4 (1.81)1 (0.38)0 (0.00)0 (0.00)0 (0.00)1 (3.23)
Dissociative disorder3 (0.62)3 (1.36)0 (0.00)----
Table 3.

Frequency distribution of current diagnoses by the onset diagnosis

Onset diagnosisTOTAL N=264Current diagnosesn (%)
Schizophrenia8 (3.03)Schizophrenia1 (12.50)
Other Psychoses5 (62.50)
Bipolar disorder1 (12.50)
Other personality disorder1 (12.50)
Other Psychoses25 (9.47)Schizophrenia9 (36.00)
Other Psychoses2 (8.00)
Bipolar disorder3 (12.00)
Depression3 (12.00)
Borderline Personality Disorder1 (4.00)
Other personality disorder6 (24.00)
Impulse control disorder1 (4.00)
Bipolar disorder22 (8.33)Other Psychoses4 (18.18)
Bipolar disorder5 (22.73)
Depression3 (13.64)
Borderline Personality Disorder5 (22.73)
Other personality disorder5 (22.73)
Depression102 (38.64)Schizophrenia8 (7.84)
Other Psychoses12 (11.76)
Bipolar disorder31 (30.39)
Depression10 (9.80)
Obsessiveness disorder1 (0.98)
Borderline Personality Disorder8 (7.84)
Other personality disorder32 (31.37)
Panic disorder9 (3.41)Schizophrenia1 (11.11)
Bipolar disorder2 (22.22)
Depression1 (11.11)
Borderline Personality Disorder1 (11.11)
Other personality disorder4 (44.44)
Obsessive-compulsive Disorder19 (7.20)Schizophrenia1 (5.26)
Other Psychoses5 (26.32)
Bipolar disorder3 (15.79)
Depression4 (21.05)
Other personality disorder4 (21.05)
Eating disorders1 (5.26)
Neurocognitive disorder1 (5.26)
Other anxiety disorders19 (7.20)Schizophrenia2 (10.53)
Bipolar disorder5 (26.32)
Depression4 (21.05)
Obsessiveness disorder1 (5.26)
Borderline Personality Disorder2 (10.53)
Other personality disorder5 (26.32)
Borderline Personality Disorder6 (2.27)Other Psychoses3 (50.00)
Bipolar disorder2 (33.33)
Depression1 (16.67)
Other personality disorder19 (7.20)Schizophrenia1 (5.26)
Other Psychoses3 (15.79)
Bipolar disorder3 (15.79)
Depression10 (52.63)
Borderline Personality Disorder2 (10.53)
Eating disorders8 (3.03)Schizophrenia1 (12.50)
Other Psychoses1 (12.50)
Bipolar disorder3 (37.50)
Borderline Personality Disorder3 (37.50)
Substance abuse8 (3.03)Bipolar disorder2 (25.00)
Borderline Personality Disorder2 (25.00)
Other personality disorder4 (50.00)
Impulse control disorder6 (2.27)Other Psychoses1 (16.67)
Borderline Personality Disorder1 (16.67)
Other personality disorder4 (66.67)
Neurocognitive disorder7 (2.65)Schizophrenia2 (28.57)
Other Psychoses3 (42.86)
Bipolar disorder1 (14.29)
Other personality disorder1 (14.29)
Sleep disorder5 (1.89)Bipolar disorder3 (60.00)
Depression2 (40.00)
Pathological gambling disorder1 (0.38)Bipolar disorder1 (100.00)
Table 4.

Estimate of hazard ratio by Cox proportional hazards regression models, risk of patients with onset diagnosis could develop other disorders

All patientsMalesFemales
Onset diagnosisCurrent diagnosesHR°95% CIp-valueHR*95% CIp-valueHR*95% CIp-value
SchizophreniaOther Psychoses0.550.13 to 2.390.4260.570.13 to 2.510.456---
Other PsychosesSchizophrenia 6.96 1.10 to 44.22 0.040 4.630.35 to 60.900.2448.260.57 to 119.350.121
Other Psychoses 0.10 0.01 to 0.89 0.039 ---0.240.02 to 2.460.231
Bipolar disorder0.420.09 to 1.950.2670.530.53 to 5.500.6010.380.05 to 3.080.364
Depression0.350.07 to 1.800.210---0.540.09 to 3.130.494
Other personality disorder2.210.53 to 9.220.2772.350.25 to 22.320.4561.690.25 to 11.340.589
Bipolar disorderOther Psychoses Bipolar disorder0.520.14 to 1.940.3280.790.11 to 5.610.8150.420.07 to 2.610.353
Bipolar disorder0.400.10 to 1.570.1890.920.05 to 15.900.9530.300.06 to 1.540.151
Depression0.420.11 to 1.550.1900.560.05 to 5.780.6250.370.07 to 1.810.217
Borderline Personality Disorder5.370.66 to 43.880.117--- 29.82 1.07 to 828.29 0.045
Other personality disorder2.520.37 to 16.990.342---1.580.20 to 12.650.666
DepressionSchizophrenia0.580.11 to 3.060.5171.420.04 to 56.770.8530.770.10 to 5.840.799
Other Psychoses 0.39 0.17 to 0.91 0.029 0.510.15 to 1.700.271 0.29 0.09 to 0.94 0.039
Bipolar disorder0.790.39 to 1.600.5151.010.28 to 3.590.9980.690.29 to 1.630.393
Depression 0.34 0.14 to 0.85 0.021 0.380.04 to 4.140.429 0.30 0.11 to 0.87 0.026
Borderline Personality Disorder2.330.50 to 10.830.279---7.830.75 to 81.410.085
Other personality disorder1.250.58 to 2.700.5763.160.77 to 12.930.1100.910.35 to 2.370.850
Panic disorderSchizophrenia1.220.08 to 18.670.887---4.540.13 to 163.330.408
Depression0.610.05 to 7.050.693------
Borderline Personality Disorder1.030.05 to 19.600.938---7.970.28 to 228.080.225
Other personality disorder0.960.22 to 4.210.9592.980.29 to 31.220.3610.460.05 to 4.200.494
Obsessive-compulsive DisorderOther Psychoses0.430.09 to 2.090.2940.500.10 to 2.550.404---
Bipolar disorder0.600.16 to 2.280.4500.370.04 to 3.470.3820.920.17 to 4.960.925
Depression1.590.40 to 6.330.5138.280.60 to 114.810.1150.380.03 to 4.700.448
Other personality disorder1.400.24 to 8.310.7090.880.08 to 10.260.9182.600.22 to 31.380.452
Other anxiety disordersSchizophrenia0.810.07 to 9.710.869---1.370.07 to 26.550.834
Bipolar disorder0.450.12 to 1.740.2460.400.06 to 2.500.3280.570.06 to 5.240.620
Depression2.080.40 to 10.690.3812.530.14 to 45.220.5283.320.30 to 36.230.326
Borderline Personality Disorder1.100.06 to 19.840.948------
Other personality disorder0.800.22 to 2.880.7330.620.06 to 6.540.6900.980.21 to 4.580.977
Borderline Personality DisorderDepression1.100.10 to 12.560.941---1.110.10 to 12.960.932
Other personality disorderSchizophrenia0.380.03 to 5.070.4652.560.06 to 118.400.631---
Other Psychoses0.360.04 to 2.990.3440.530.06 to 4.730.572---
Bipolar disorder0.690.16 to 3.000.6210.370.03 to 4.810.4500.960.16 to 5.830.965
Depression 4.07 1.18 to 14.00 0.026 7.380.98 to 55.810.0533.680.60 to 22.600.160
Borderline Personality Disorder3.460.33 to 36.580.302---2.720.09 to 78.640.561
Eating disordersBipolar disorder1.340.22 to 8.040.751---1.320.21 to 8.140.766
Borderline Personality Disorder4.010.40 to 40.570.240---10.180.48 to 213.950.135
Substance abuseOther personality disorder3.050.41 to 22.930.2782.530.30 to 21.140.390---
Impulse control disorderOther Psychoses0.540.04 to 6.440.6250.610.05 to 8.300.714---
Other personality disorder11.540.92 to 143.320.0578.630.47 to 158.370.147---
Neurocognitive disorderSchizophrenia1.220.05 to 28.120.9022.200.05 to 104.100.689---
Other Psychoses0.240.03 to 2.080.197---0.670.05 to 8.650.756
Other personality disorder0.560.06 to 5.290.614---2.240.09 to 53.660.618
Sleep disorderBipolar disorder2.940.20 to 44.150.435------
Depression1.810.28 to 11.810.537------
Pathological gambling disorderBipolar disorder1.100.09 to 12.770.9421.020.08 to 12.510.985---
-; values omitted (p-value=1)HR°: Hazard Ratioadjustedfor sex and age;HR*:Hazard Ratio adjustedfor age
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9.  Deconstructing current comorbidity: data from the Australian National Survey of Mental Health and Well-Being.

Authors:  Gavin Andrews; Tim Slade; Cathy Issakidis
Journal:  Br J Psychiatry       Date:  2002-10       Impact factor: 9.319

10.  The small world of psychopathology.

Authors:  Denny Borsboom; Angélique O J Cramer; Verena D Schmittmann; Sacha Epskamp; Lourens J Waldorp
Journal:  PLoS One       Date:  2011-11-17       Impact factor: 3.240

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1.  Self-Oriented Empathy and Personality Organisation Level: Insights from a Psychiatric Sample.

Authors:  Emanuele Pick; Chiara Pavan; Massimo Marini; Ylenia Cariolato; Elisabetta Bogliolo; Tommaso Toffanin; Arianna Palmieri
Journal:  Clin Neuropsychiatry       Date:  2022-02
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