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Severity of depressive episodes according to ICD-10: prediction of risk of relapse and suicide

Published online by Cambridge University Press:  02 January 2018

Lars Vedel Kessing*
Affiliation:
Department of Psychiatry, University of Copenhagen (Department of Psychiatry Rigshospitalet, Blegdamsvej 9, DK 2100 Copenhagen Ø, Denmark. Tel: 3545 6237; fax: 3545 6218; e-mail: [email protected]) and Department of Psychiatric Demography, University of Aarhus, Risskov, Denmark
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Abstract

Background

The ICD–10 categorisation of severity of depression into mild, moderate and severe depressive episodes has not been validated.

Aims

To validate the ICD–10 categorisation of severity of depression by estimating its predictive ability on the course of illness and suicidal outcome.

Method

All psychiatric in-patients in Denmark who had received a diagnosis of a single depressive episode at their first discharge between 1994 and 1999 were identified. The risk of relapse and the risk of suicide were compared for patients discharged with an ICD–10 diagnosis of a single mild, moderate or severe depressive episode.

Results

At their first discharge, 1103 patients had an ICD–10 diagnosis of mild depressive episode, 3182 had a diagnosis of moderate depressive episode and 2914 had a diagnosis of severe depressive episode. The risk of relapse and the risk of suicide were significantly different for the three types of depression – increasing from mild to moderate to severe depressive episode.

Conclusions

The ICD–10 way of grading severity is clinically useful and should be preserved in future versions.

Type
Papers
Copyright
Copyright © 2004 The Royal College of Psychiatrists 

During the past two decades there has been an increasing focus on the long-term course of recurrent depression. Several studies have found that the risk of subsequent relapse or recurrence increases with the severity of the depressive index episode, measured as the score on a rating scale (Reference Gonzales, Lewinsohn and ClarkeGonzales et al, 1985; Reference Ramana, Paykel and CooperRamana et al, 1995; Reference Staner, Tracy and DramaixStaner et al, 1997) or as the number of recalled depressive symptoms (Reference Coryell, Endicott and KellerCoryell et al, 1991). In the ICD-10 (World Health Organization, 1992), depression is categorised into mild, moderate and severe depression. Although the way ICD-10 classifies severity has been praised and is recommended to be preserved in future versions (Reference PaykelPaykel, 2002), the long-term predictive ability of this subdivision has not been investigated.

The aim of our study was to investigate whether the ICD-10 categorisation into diagnoses of mild, moderate and severe depression at discharge from first admission predicted the risk of relapse and eventual suicide. As in prior studies (e.g. Reference KessingKessing, 1998; Reference Kessing, Andersen and MortensenKessing et al, 1998) we used the Danish Psychiatric Central Register as our database, with survival statistics to estimate the risk of relapse and suicide.

METHOD

Psychiatric register

The Danish Psychiatric Central Register is nationwide, with registration of all psychiatric admissions in Denmark for the 5.3 million inhabitants (Reference Munk-Jorgensen and MortensenMunk-Jorgensen & Mortensen, 1997). All inhabitants in Denmark have a unique personal identification number, the Civil Person Registration number, which can be logically checked for errors, so it can be established with great certainty whether a patient has been admitted previously, irrespective of changes in name or address. Data of death can be established with equal certainty, as the same identification number is used in all public registration systems. The ICD-10 has been used in Denmark since 1 January 1994. Information on treatment intervention is not available.

Study sample

The study sample was defined as consisting of all patients admitted during the day or overnight to a psychiatric hospital who had a diagnosis of a single depressive episode (ICD-10, code F32.0-32.3) in a period from 1 January 1994 to 31 December 1999 at the time of their first discharge. The sample was divided into three groups according to whether the depressive episode was mild (codes F32.0, 32.00, 32.01), moderate (codes F32.1, 32.10, 32.11) or severe (codes F32.2, 32.3, 32.30, 32.31). It is well known that some patients are temporarily discharged to other wards for somatic diagnosis or treatment and are subsequently readmitted to the psychiatric ward for further treatment of depression. Since the aim of the investigation was to study relapse, the two admissions were counted as one episode if readmission occurred within 3 days of discharge. Patients were therefore not at risk of relapse until 3 days after discharge: relapse was thus defined as readmission after being discharged for 3 days. Time to relapse was estimated, censoring if death had occurred or if relapse had not occurred before 31 December 1999.

In the estimations of time to suicide, patients might have been readmitted several times before suicide or before the end of the observation period. Consequently, patients might have a different diagnosis at subsequent discharges. According to the diagnostic hierarchy in ICD-10, patients who were given a main diagnosis of organic disorder (code F00-09), schizophrenia and related disorders (F20-29) or bipolar disorder (F31) at later discharges were included in the analysis until this diagnostic alteration and thereafter censored from further analysis, since from this point these patients were no longer considered as suffering from a primary depressive disorder. The follow-up period varied between 1 day and 6 years.

Statistical analysis

The Kaplan-Meier method for estimation with censored observations was used for calculating the probability of remaining discharged and the probability of not dying by suicide, and the log rank test was used to estimate the differences between mild, moderate and severe depression (Reference Kaplan and MeierKaplan & Meier, 1958). Cox's regression models were used to adjust for differences in age and gender at first discharge. The Statistical Package for the Social Sciences was used (SPSS, 2001).

RESULTS

In total 7199 patients were given a diagnosis of a single depressive episode during the period 1 January 1994 to 31 December 1999 at their first discharge. Among these, 1103 patients (15.3%) had a diagnosis of mild depressive episode, 3182 patients (44.2%) had a diagnosis of moderate depressive episode and 2914 patients (40.5%) had a diagnosis of severe depressive episode (Table 1). There was no significant difference in gender between the three groups, but the age of the patients was significantly greater among those with more severe depression at first discharge. During the 6 years of follow-up, a proportion of the patients were readmitted to a psychiatric ward: 27.7% of those with a diagnosis of mild depression at first discharge, 29.7% of those with moderate depression and 36.8% of those with severe depression. Changes in the main diagnosis from the first to the second discharge are listed in Table 1. Of patients with a diagnosis of mild depression at first discharge, 59.1% were diagnosed as having an affective disorder at second discharge, compared with 71.8% and 77.6% for patients with diagnoses of moderate and severe depression at first discharge, respectively. The proportion of patients with recurrent depression increased with greater severity of depression at first discharge, as did the proportion of patients with bipolar disorder or schizophrenia. Conversely, the proportion of patients with a diagnosis lower in the diagnostic hierarchy - chronic affective disorder (cyclothymia, dysthymia), nervous and stress-related disorders, and personality disorders - decreased as the severity of the depression at first discharge increased.

Table 1 Distribution of gender and age at first discharge and diagnosis at second discharge for patients first discharged with a diagnosis of a single depressive episode

Severity of depression
Mild Moderate Severe
First discharge
Patients (n) 1103 3182 2914
Female (%)1 61.6 65.1 62.8
Age (years)
    Median 51.7 52.1 55.8
    Quartiles2 36.4–70.9 37.5–69.6 39.9–72.6
Second discharge
Patients (n (%)) 305 (27.7) 946 (29.7) 1071 (36.8)
Diagnosis (%)
    Organic disorders (F00–09) 4.9 4.9 5.1
    Alcohol or drug abuse (F10–19) 7.9 4.9 1.8
    Schizophrenia, etc. (F20–29) 2.6 1.9 6.1
    Bipolar disorder (F31.0–31.9) 0.7 2.3 4.2
    Recurrent depression (F33.0–33.9) 56.4 68.7 72.8
    Chronic affective disorder (F34.0–34.9) 2.0 0.8 0.6
    Nervous and stress-related disorders (F40–49) 17.0 8.5 4.6
    Personality disorders (F60–69) 6.6 5.3 3.1
    Others 2.0 0.3 0.7

The risk of relapse in the three patient groups increased with increasing severity of depression at first discharge (Fig. 1). Table 2 compares the median times to relapse for the three groups, and a log rank test showed that the risk of relapse for the groups differed significantly (χ2=84.2, d.f.=2, P<0.0001). Adjusting for differences in age and gender between the three groups in a Cox's regression model revealed that patients with a moderate depressive episode at first discharge had a 1.2 (95% CI 1.1-1.4) times greater risk of relapse compared with patients with a mild depressive episode at first discharge; similarly, patients with a severe depressive episode had a 1.7 (95% CI 1.5-1.9) times greater risk of relapse compared with patients with a mild depressive episode. Women had 1.14 (95% CI 1.05-1.25) times increased risk of relapse compared with men, and older patients at first discharge had less risk of relapse: 0.993 per year of age (95% CI 0.991-0.995).

Fig. 1 Risk of relapse for patients with a diagnosis of mild (—), moderate (- - -) or severe (....) depressive episode at first discharge: Kaplan-Meier survival curves.

Table 2 Time to relapse for patients with an ICD-10 diagnosis of mild, moderate or severe depressive episode at first discharge

Patients n Events censored % Time to relapse (years)1
Median 95% Cl Percentiles (25%–75%)
Mild depression 987 68.2 6.1 5.0–7.2 6.1–1.3
Moderate depression 2661 63.1 5.5 5.0–5.9 6.4–0.8
Severe depression 2368 53.2 3.2 2.7–3.7 6.2–0.4

The risk of suicide during the 6 years of follow-up increased with the severity of depression at first discharge (Fig. 2), and a log rank test showed that the differences were significant (Table 3; χ2=13.7, d.f.=2, P=0.001). Cox's regression analyses with adjustment for differences in age and gender revealed that the risk of suicide was 1.5 (95% CI 0.6-3.6) times greater in patients with a moderate rather than a mild depressive episode at first discharge and 2.1 (95% CI 0.9-5.1) times greater in patients with a severe rather than a mild depressive episode at first discharge. Both confidence intervals included 0, but maximum likelihood analyses revealed a significant difference between a model with severity included and a model without (χ2=512, d.f.=2, P<0.0001). Men had 2.2 (95% CI 1.4-3.7) times the risk of suicide compared with women; however, no significant effect was found for age: 1.008 (95% CI 0.994-1.022).

Fig. 2 Risk of suicide for patients with a diagnosis of mild (—), moderate (- - -) or severe (....) depressive episode at first discharge: Kaplan-Meier survival curves.

Table 3 Time to suicide for patients with an ICD-10 diagnosis of mild, moderate or severe depressive episode at first discharge

Patients n Events n (%) Events censored %
Mild depression 1102 6 (0.5) 99.46
Moderate depression 2661 27 (1.0) 99.15
Severe depression 2368 48 (2.0) 98.35

DISCUSSION

In our study diagnostic stability and the risks of relapse and suicide were significantly different in the three groups of patients. It seems that the ICD-10 categorisation into mild, moderate and severe depression predicts long-term course and outcome and thus is clinically useful. On the basis of these findings it seems reasonable to agree with Paykel (Reference Paykel2002) that the ICD-10 way of classifying severity should be preserved in future versions. Furthermore, our finding also supports Paykel's view that mild depression is by no means a minor condition, as approximately half of the patients with this diagnosis relapsed (survival time) and 0.5% killed themselves during the observation period of 1 day to 6 years. Thus, it seems likely that a proportion of patients with a diagnosis of mild depression according to ICD-10 might qualify for a diagnosis of major depression according to the DSM-IV (American Psychiatric Association, 1994). Interestingly, patients diagnosed as having a severe depressive episode had greater chances of having this diagnosis subsequently changed to bipolar disorder or schizophrenia, whereas patients with a moderate or mild depressive episode (especially the latter) were more likely to have this diagnosis changed to nervous or stress-related disorder, personality disorder, or alcohol or drug misuse (see Table 1).

The validity of our results is strengthened by our findings of the usual predictors of relapse and suicide. Thus, women had greater risk of relapse, in accordance with most studies (Reference Angst and SacharAngst, 1981; Reference Winokur, Coryell and KellerWinokur et al, 1993; Reference KessingKessing, 1998), and men had a greater risk of suicide, as is well known from prior studies (Reference Cantor, Hawton and van HeeringenCantor, 2000). It should be emphasised that the study concerns only patients with depressive episodes severe enough to lead to hospitalisation, and it is possible that the findings cannot be generalised, for example to primary care patients. Further, the study had a naturalistic approach: patients might have received treatment following discharge and the treatment would have been at the discretion of the responsible clinician, not directed by the researcher. The Danish Psychiatric Central Register contains no data on treatment.

The advantages of our study are that it comprised an observation period of 6 years for the whole Danish population, which is ethnically and socially homogeneous and has a low migration rate. Psychiatric care is well developed, so that people with depression can easily come into contact with a psychiatric hospital. Because all psychiatric in-patient treatment in Denmark is free of charge and there are no private psychiatric in-patient facilities, the study is not biased by socio-economic differences.

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  1. Diagnostic stability is highest for the ICD-10 diagnosis of severe depression and is lower for moderate and mild depression.

  2. The ICD-10 categorisation into mild, moderate and severe depression predicts the risk of relapse of affective episodes.

  3. The categorisation also predicts the risk of suicide.

LIMITATIONS

  1. The diagnoses were not validated.

  2. The data relate to readmissions rather than to relapse.

  3. The data relate to patients hospitalised for depression and may not be generalisable to other populations.

Acknowledgements

This study was supported by the Stanley Medical Research Institute and the. Lundbeck Foundation.

References

American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders (4th edn) (DSM–IV). Washington, DC: APA.Google Scholar
Angst, J. (1981) Course of affective disorders. In Handbook of Biological Psychiatry, Part 5. Brain Mechanisms and Abnormal Behaviour (ed. Sachar, E. J.), pp. 225242. New York: Marcel Dekker.Google Scholar
Cantor, C. H. (2000) Suicide in the Western World. In The International Handbook of Suicide and Attempted Suicide (eds Hawton, K. & van Heeringen, K.), pp. 928. Chichester: John Wiley.CrossRefGoogle Scholar
Coryell, W., Endicott, J. & Keller, M. B. (1991) Predictors of relapse into major depressive disorder in a nonclinical population. American Journal of Psychiatry, 148, 13531358.Google Scholar
Gonzales, L. R., Lewinsohn, P. M. & Clarke, G. N. (1985) Longitudinal follow-up of unipolar depressives: an investigation of predictors of relapse. Journal of Consulting and Clinical Psychology, 53, 461469.Google Scholar
Kaplan, E. L. & Meier, P. (1958) Non-parametric estimation from incomplete observations. Journal of the American Statistical Association, 53, 457481.CrossRefGoogle Scholar
Kessing, L. V. (1998) Recurrence in affective disorder. II. Effect of age and gender. British Journal of Psychiatry, 172, 2934.Google Scholar
Kessing, L. V., Andersen, P. K., Mortensen, P. B., et al (1998) Recurrence in affective disorder. I. Case register study. British Journal of Psychiatry, 172, 2328.Google Scholar
Munk-Jorgensen, P. & Mortensen, P. B. (1997) The Danish Psychiatric Central Register. Danish Medical Bulletin, 44, 8284.Google ScholarPubMed
Paykel, E. S. (2002) Mood disorders: review of current diagnostic systems. Psychopathology, 35, 9499.Google Scholar
Ramana, R., Paykel, E. S., Cooper, Z., et al (1995) Remission and relapse in major depression: a two-year prospective follow-up study. Psychological Medicine, 25, 11611170.CrossRefGoogle ScholarPubMed
SPSS (2001) SPSS for Windows, Release 11.0, standard version. Chicago, IL: SPSS Inc.Google Scholar
Staner, L., Tracy, A., Dramaix, M., et al (1997) Clinical and psychosocial predictors of recurrence in recovered bipolar and unipolar depressives: a one-year controlled prospective study. Psychiatry Research, 69, 3951.CrossRefGoogle ScholarPubMed
Winokur, G., Coryell, W., Keller, M., et al (1993) A prospective follow-up of patients with bipolar and primary unipolar affective disorder. Archives of General Psychiatry, 50, 457465.CrossRefGoogle ScholarPubMed
World Health Organization (1992) The ICD–10 Classification of Mental and Behavioural Disorders: Clinical Description and Diagnostic Guidelines. Geneva: WHO.Google Scholar
Figure 0

Table 1 Distribution of gender and age at first discharge and diagnosis at second discharge for patients first discharged with a diagnosis of a single depressive episode

Figure 1

Fig. 1 Risk of relapse for patients with a diagnosis of mild (—), moderate (- - -) or severe (....) depressive episode at first discharge: Kaplan-Meier survival curves.

Figure 2

Table 2 Time to relapse for patients with an ICD-10 diagnosis of mild, moderate or severe depressive episode at first discharge

Figure 3

Fig. 2 Risk of suicide for patients with a diagnosis of mild (—), moderate (- - -) or severe (....) depressive episode at first discharge: Kaplan-Meier survival curves.

Figure 4

Table 3 Time to suicide for patients with an ICD-10 diagnosis of mild, moderate or severe depressive episode at first discharge

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