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Excess cause-specific mortality in in-patient-treated individuals with personality disorder: 25-year nationwide population-based study

Published online by Cambridge University Press:  02 January 2018

Emma Björkenstam
Affiliation:
Department of Public Health Sciences, Karolinska Institutet, Stockholm and the Department of Evaluation, and Analysis, Epidemiology and Methodological Support Unit, National Board of Health and Welfare, Stockholm, Sweden
Charlotte Björkenstam
Affiliation:
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Herman Holm
Affiliation:
Department of Psychiatry, Skåne University Hospital, Malmö, Sweden
Bengt Gerdin
Affiliation:
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
Lisa Ekselius*
Affiliation:
Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
*
Lisa Ekselius, MD, PhD, Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, SE-751 85 Uppsala, Sweden. Email: [email protected]
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Abstract

Background

Although personality disorders are associated with increased overall mortality, less is known about cause of death and personality type.

Aims

To determine causes of mortality in ICD personality disorders.

Method

Based on data from Swedish nationwide registers, individuals admitted to hospital with a primary diagnosis of personality disorder between 1987 and 2011 were followed with respect to mortality until 31 December 2011. Standardised mortality ratios (SMRs) with 95% confidence intervals and underlying causes of death were calculated.

Results

All-cause SMRs were increased, overall and in all clusters, for natural as well as unnatural causes of death. The overall SMR was 6.1 in women and 5.0 in men, as high as previously reported for anorexia nervosa, with higher rates in cluster B and mixed/other personality disorders. The SMR for suicide was 34.5 in women and 16.0 in men for cluster B disorders. Somatic and psychiatric comorbidity increased SMRs.

Conclusions

The SMR was substantially increased for all personality disorder clusters. Thus, there was an increased premature mortality risk for all personality disorders, irrespective of category.

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2015 

Personality disorders constitute a global health problem and are estimated to affect more than 5% of adults globally. Reference Huang, Kotov, de Girolamo, Preti, Angermeyer and Benjet1 They have a number of common features as well as diametrically different characteristics, and are organised into 10 categories in DSM-IV 2 and eight in ICD-10. 3 Based on clinical utility and symptoms, they are grouped into three clusters in DSM-IV: cluster A characterised by odd and eccentric behaviours, cluster B by dramatic and erratic behaviours and cluster C by anxious, fearful behaviours. In addition, a substantial number of individuals have disorders of personality functioning that do not fulfil criteria for a defined personality disorder. It is well established that individuals with a personality disorder have a higher mortality rate and a shorter life expectancy compared with the general population. Reference Harris and Barraclough4Reference Hoye, Jacobsen and Hansen9 In particular, there is an increased risk for death as a result of homicide, Reference Crump, Sundquist, Winkleby and Sundquist10 suicide or accidents. Reference Hoye, Jacobsen and Hansen9,Reference Hiroeh, Appleby, Mortensen and Dunn11 Comorbidity with other psychiatric Reference Lenzenweger, Lane, Loranger and Kessler12,Reference Zimmerman, Chelminski and Young13 as well as somatic conditions Reference Douzenis, Tsopelas and Tzeferakos14 is common. It has been shown that having a cluster B personality disorder imposes an increased risk for cardiovascular death, Reference Lee, Bienvenu, Cho, Ramsey, Bandeen-Roche and Eaton15 and personality disorders in all clusters impose an increased risk for suicide. Reference Schneider, Wetterling, Sargk, Schneider, Schnabel and Maurer16 In general, however, it is not known whether the increased mortality in personality disorder is related to comorbidity with other psychiatric or somatic diseases rather than to the personality disorder as such, or how the increased mortality is distributed among the different personality disorders. Therefore, in this study we used nationwide Swedish registers to determine both overall as well as cause-specific standardised mortality ratios (SMR) in all individuals admitted to hospital for personality disorder during a period of up to 25 years. Results are reported for each cluster and for women and men separately. In addition, we analysed to what extent somatic and other psychiatric comorbidity, and the amount of in-patient care, affected mortality characteristics.

Method

Study population

The unique personal identity number assigned to each Swedish resident Reference Ludvigsson, Otterblad-Olausson, Pettersson and Ekbom17 was used to link information from two population-based registers, the National Patient Register and the Cause of Death Register. All individuals admitted to hospital in Sweden between 1987 and 2011 with a primary diagnosis of personality disorder were identified using the National Patient Register. This register includes all individuals admitted to any psychiatric or general hospital, has partial coverage between 1973 and 1986, and has almost complete coverage from 1987. Reference Ludvigsson, Andersson, Ekbom, Feychting, Kim and Reuterwall18 Patients were classified according to ICD-9 19 between 1987 and 1996 and according to ICD-10 between 1997 and 2011, and grouped into clusters according to DSM-IV as follows: cluster A: paranoid (ICD-9 3010, ICD-10 F600), schizoid (ICD-9 3012, ICD-10 F601); cluster B: antisocial/dissocial (ICD-9 3017, ICD-10 F602), emotionally unstable/explosive/borderline (ICD-9 3013, ICD-10 F603), histrionic (ICD-9 3015, ICD-10 F604); cluster C: anankastic (ICD-9 3014, ICD-10 F605), anxious (avoidant) (ICD-9 N/A, ICD-10 F606), dependent (ICD-9 3016, ICD-10 F607); and unclustered: other specific (ICD-9 3018, ICD-10 F608) and unspecified (ICD-9 3019, ICD-10 F609). Patients not included in cluster A, B or C are classified as ‘other personality disorder’.

Initially, all individuals admitted to hospital with a primary diagnosis of personality disorder were included (n = 27 329). We subsequently identified those aged 15–64 at the time of their first admission to hospital (n = 25 726). After excluding 2388 individuals with a prior admission to hospital for personality disorder before 1987, our final cohort comprised 23 338 individuals. Data on admissions to hospital with somatic and psychiatric primary diagnoses other than personality disorder were also obtained. The Cause of Death Register was used to obtain information on cause of death. This register contains information on all deceased Swedish residents since 1952. The validity is high, and cause of death is lacking in only 0.5% of the deceased. 20 The patients were followed from the date of first discharge until death or until the end of the follow-up period (i.e. 31 December 2011). Classification of personality disorders as well as underlying causes of death were coded according to ICD-9 between 1987 and 1996 and according to ICD-10 between 1997 and 2011. The study was approved by the Regional Ethical Review Board in Stockholm, protocol 2013/2028-31/5.

Statistical analysis

The number of expected deaths was calculated by multiplying the number of person-years at risk by 5-year age group and calendar-year specific mortality rates in the general population. The SMR, i.e. the ratio between the observed number of deaths and the expected number of deaths during the follow-up period, was used as a measure of risk. The SMRs were calculated on the basis of 282 188 person-years with 95% confidence intervals assuming that the observed number of deaths in each group followed a Poisson distribution. Expected survival probabilities were calculated from general population life tables. We used SAS v. 9.2 for analysis.

Results

In total, 13 740 women and 9 598 men with a mean age slightly over 30 years were admitted to hospital with a primary diagnosis of personality disorder at least once between 1987 and 2011 (Table 1). Out of those, 1498 women and 1793 men, 11% and 19% of the cohort, respectively, died during the follow-up period. The most common diagnosis in women (49%) was a cluster B personality disorder, whereas the most common diagnosis in men (58%) was ‘other personality disorder’. Together these diagnostic groups represented 93% and 86%, respectively, of the personality disorder diagnoses. Comorbidity was common, as over 90% of both women and men received hospital care for concurrent psychiatric or somatic diseases during or after the first admission for personality disorder.

TABLE 1 Descriptive statistics for all patients admitted to hospital for a personality disorder between 1987 and 2011 in Sweden

Women Men
Total (n = 13740) Deceased (n = 1498) Total (n = 9598) Deceased (n = 1793)
Age, years: mean (s.d.) 31.0 (11.4) 32.6 (11.1)
Age at first admission to hospital, years: n (%)
    15–19 2 032 (15) 90 (6) 658 (7) 63 (4)
    20–24 3 169 (23) 175 (12) 1 643 (17) 196 (11)
    25–34 4 003 (29) 321 (21) 3 299 (34) 479 (27)
    35–44 2 516 (18) 384 (26) 2 224 (23) 440 (25)
    45–54 1 444 (11) 299 (20) 1 284 (13) 372 (21)
    55–64 576 (4) 229 (15) 490 (5) 243 (14)
Diagnostic group, n (%)
Cluster A 547 (4) 86 (6) 1 025 (11) 210 (12)
Cluster B 6 754 (49) 582 (39) 2 658 (28) 459 (26)
Cluster C 457 (3) 65 (4) 367 (4) 66 (4)
Other 5 982 (44) 765 (51) 5 548 (58) 1 058 (59)
Other specific personality disorder 1 098 (8) 169 (11) 1 099 (11) 230 (13)
Personality disorder, unspecified 4 884 (36) 596 (40) 4 449 (46) 828 (46)
Comorbidity during follow-up, n (%)
    None 361 (3) 24 (2) 641 (7) 59 (3)
    Psychiatric 766 (6) 74 (5) 1 099 (11) 157 (9)
    Somatic 2 130 (16) 194 (13) 1 459 (15) 224 (12)
    Both 10 483 (76) 1 206 (81) 6 399 (67) 1 353 (75)
Years from first discharge to death, n (%)
    <1 202 (13) 244 (14)
    1–2 199 (13) 275 (15)
    3–4 169 (11) 211 (12)
    5–9 323 (22) 396 (22)
    10–19 520 (35) 562 (31)
    20+ 85 (6) 105 (6)

The SMRs for all those with personality disorder and by the different clusters are presented for women and men, respectively, in Tables 2 and 3. The all-cause SMRs were 6.1 (95% CI 5.8–6.4) for women and 5.0 (95% CI 4.7–5.2) for men (Tables 2 and 3). About half of the deaths were because of natural causes. The most common natural cause of death in women was cardiovascular disease at 17%, followed by cancer at 13%. In men, cardiovascular disease was also the most common natural cause of death at 21%, followed by deaths with undetermined intent at 8% and cancer at 8%. The highest SMRs for natural causes in women were observed for mental disorders: for substance misuse it was 11.4 (95% CI 7.2–18.2) and for other mental disorders it was 13.3 (95% CI 9.2–19.3). Besides that, there was a general increase in SMR for most somatic diagnostic groups, both in women and in men. Notably, the SMR for infections was as high as 8.6 (95% CI 5.6–13.2) in women and 10.7 (95% CI 7.8–14.7) in men, and for respiratory disorders it was 7.9 (95% CI 6.3–9.9) in women and 5.5 (95% CI 4.2–7.0) in men. Close to half of the deaths were as a result of unnatural causes, resulting in a considerably increased SMR of 22.0 (95% CI 20.4–23.6) in women and 11.4 (95% CI 10.6–12.1) in men. The highest SMRs for both genders were observed for suicide: 32.8 (95% CI 30.0–35.8) in women and 16.4 (95% CI 15.1–17.9) in men. Suicide was also the most common cause of death in both genders: 34% in women and 28% in men. We also confirmed recent observations of an increased risk for homicide, Reference Crump, Sundquist, Winkleby and Sundquist10 with SMRs of 5.6 (95% CI 2.8–11.3) in women and 4.7 (95% CI 2.7–8.3) in men.

TABLE 2 Standardised mortality ratios (SMRs) with 95% confidence intervals for all those with personality disorder and by the different clusters in women

Standardised mortality ratios (95% CI)
Cause of death All Cluster A Cluster B Cluster C Other
Total 6.1 (5.8–6.4) 4.3 (3.5–5.3) 6.4 (5.9–7.0) 5.0 (4.0–6.4) 6.3 (5.9–6.8)
Natural 3.6 (3.4–3.9) 3.4 (2.7–4.4) 3.4 (3.0–3.8) 3.7 (2.7–5.0) 3.8 (3.5–4.2)
Infections 8.6 (5.6–13.2) 5.3 (0.8–37.8) 2.2 (0.5–8.7) 8.2 (1.2–58.3) 14.1 (8.7–22.6)
Cancer 1.6 (1.4–1.9) 2.4 (1.6–3.5) 1.9 (1.5–2.3) 1.4 (0.7–2.6) 1.3 (1.1–1.7)
Endocrine 6.8 (4.8–9.6) 2.6 (0.4–18.1) 3.9 (1.8–8.1) 12.0 (3.9–37.1) 9.1 (6.0–13.9)
Mental
    Substance misuse 11.4 (7.2–18.2) 15.1 (7.8–28.9) 13.3 (1.9–94.7) 10.2 (5.1–20.4)
    Other 13.3 (9.2–19.3) 14.1 (3.5–56.3) 9.7 (4.9–19.4) 32.3 (10.4–100) 14.4 (8.7–23.9)
Nervous system 4.9 (3.5–6.7) 1.7 (0.2–12.1) 4.2 (2.4–7.3) 2.6 (0.4–18.7) 6.1 (4.1–9.2)
Cardiovascular 5.9 (5.2–6.6) 5.0 (3.2–7.8) 5.0 (3.9–6.2) 7.5 (4.8–11.7) 6.5 (5.5–7.7)
Respiratory 7.9 (6.3–9.9) 9.3 (4.7–18.7) 8.6 (5.9–12.4) 5.5 (1.8–17.1) 7.4 (5.3–10.4)
Gastrointestinal 4.9 (3.6–6.6) 3.9 (1.3–12.2) 3.1 (1.7–5.8) 4.2 (1.0–16.6) 6.4 (4.4–9.3)
Other 6.1 (4.8–7.7) 2.5 (0.6–10.1) 6.3 (4.3–9.2) 1.9 (0.3–13.8) 6.8 (4.9–9.4)
Unnatural 22.0 (20.4–23.6) 12.8 (8.5–19.3) 23.2 (20.8–25.9) 18.0 (11.8–27.3) 22.2 (20.1–24.7)
Suicide 32.8 (30.0–35.8) 21.5 (13.4–34.7) 34.5 (30.2–39.3) 25.8 (15.3–43.5) 33.0 (29.1–37.3)
Undetermined intent 22.3 (18.5–26.9) 7.2 (1.8–28.7) 26.4 (20.2–34.6) 16.0 (5.2–49.7) 21.2 (16.1–27.8)
Homicide 5.6 (2.8–11.3) 3.2 (0.8–12.8) 8.7 (3.9–19.4)
Traffic accidents 2.8 (1.7–4.6) 3.0 (1.4–6.3) 5.5 (0.8–38.8) 2.7 (1.3–5.6)
Other 15.2 (12.4–18.6) 9.9 (3.7–26.3) 15.1 (10.9–20.8) 15.0 (5.6–39.9) 16.1 (12.2–21.3)

TABLE 3 Standardised mortality ratios (SMRs) with 95% confidence intervals for all those with personality disorder and by the different clusters in men

Standardised mortality ratios (95% CI)
Cause of death All Cluster A Cluster B Cluster C Other
Total 5.0 (4.7–5.2) 4.1 (3.6–4.7) 5.6 (5.2–6.2) 3.2 (2.5–4.1) 5.1 (4.8–5.4)
Natural 3.2 (3.0–3.5) 3.1 (2.6–3.6) 3.2 (2.8–3.7) 2.7 (2.0–3.5) 3.3 (3.1–3.6)
Infections 10.7 (7.8–14.7) 4.0 (1.0–15.9) 11.8 (6.4–21.9) 5.2 (0.7–36.8) 12.4 (8.4–18.2)
Cancer 1.5 (1.3–1.7) 1.5 (1.0–2.3) 1.3 (0.9–1.9) 1.1 (0.5–2.4) 1.6 (1.3–1.9)
Endocrine 4.0 (2.8–5.6) 2.6 (0.8–8.1) 2.2 (0.8–5.9) 10.9 (4.5–26.2) 4.3 (2.8–6.7)
Mental
    Substance misuse 7.3 (5.5–9.7) 3.3 (1.1–10.2) 8.2 (4.8–14.1) 8.5 (6.1–12.0)
    Other 5.4 (3.9–7.6) 5.2 (1.9–13.8) 6.3 (3.4–11.6) 5.6 (3.6–8.6)
Nervous system 5.1 (3.8–6.9) 6.1 (2.9–12.8) 3.9 (2.0–7.8) 4.5 (1.1–18.0) 5.5 (3.7–7.9)
Cardiovascular 3.4 (3.1–3.8) 3.7 (2.8–4.7) 3.4 (2.7–4.3) 3.2 (2.1–4.8) 3.4 (2.9–3.8)
Respiratory 5.5 (4.2–7.0) 4.3 (2.0–9.0) 4.3 (2.3–8.0) 5.9 (2.2–15.7) 6.2 (4.5–8.4)
Gastrointestinal 3.2 (2.4–4.1) 3.9 (2.1–7.3) 1.8 (0.9–3.8) 3.0 (1.0–9.3) 3.5 (2.5–4.9)
Other 5.9 (4.8–7.3) 4.8 (2.6–9.0) 8.1 (5.6–11.5) 2.5 (0.6–10.1) 5.6 (4.2–7.4)
Unnatural 11.4 (10.6–12.1) 9.1 (7.3–11.4) 12.7 (11.3–14.4) 6.4 (4.2–10.0) 11.5 (10.5–12.5)
Suicide 16.4 (15.1–17.9) 15.7 (12.1–20.5) 16.0 (13.6–19.0) 12.3 (7.4–20.3) 17.0 (15.2–19.1)
Undetermined intent 15.2 (12.9–17.8) 9.8 (5.4–17.6) 20.1 (15.4–26.2) 2.6 (0.4–18.3) 14.7 (11.9–18.2)
Homicide 4.7 (2.7–8.3) 8.3 (3.7–18.5) 4.1 (1.8–9.1)
Traffic accidents 3.4 (2.5–4.5) 2.2 (0.7–6.7) 4.8 (3.0–7.7) 2.0 (0.3–14.3) 3.0 (2.0–4.5)
Other 7.7 (6.6–9.0) 4.5 (2.5–8.0) 9.8 (7.4–12.9) 3.3 (1.1–10.2) 7.9 (6.4–9.7)

All three personality disorder clusters as well as ‘other personality disorder’ exhibited an increased SMR in both genders (Tables 2 and 3), although those with cluster B and ‘other personality disorder’ displayed somewhat higher SMRs than the other groups; cluster B all-cause mortality was 6.4 (95% CI 5.9–7.0) in women and 5.6 (95% CI 5.2–6.2) in men and ‘other personality disorder’ all-cause mortality was 6.3 (95% CI 5.9–6.8) in women and 5.1 (95% CI 4.8–5.4) in men. The SMR for suicide in those with a cluster B diagnosis was as high as 34.5 (95% CI 30.2–39.3) in women and 16.0 (95% CI 13.6–19.0) in men, and was similar among those with ‘other personality disorder’: 33.0 (95% CI 29.1–37.3) in women and 17.0 (95% CI 15.2–19.1) in men. Furthermore, death with undetermined intent was highest in those with a cluster B disorder; the SMR was 26.4 (95% CI 20.2–34.6) in women and 20.1 (95% CI 15.4–26.2) in men. Finally, all homicides occurred in those with cluster B or ‘other personality disorder’.

In total 46% of women and 55% of men were admitted to hospital only once with a primary diagnosis of personality disorder (online Table DS1). In contrast, 9% of the women and 4% of the men had more than 10 admissions with that primary diagnosis. Most patients (82% of women and 78% of men) had also been admitted to hospital for other psychiatric disorders after their first admission for personality disorder, and also for somatic disorders (92% of women and 81% of men). There was already an increased SMR for all-cause mortality after one single admission period with a primary diagnosis of personality disorder: 5.3 (95% CI 4.9–5.7) in women and 4.6 (95% CI 4.3–4.9) in men. Those admitted to hospital more frequently had only a slight further increase in SMR, for example, 7.3 (95% CI 6.2–8.6) in women and 6.7 (95% CI 5.4–8.3) in men admitted more than 10 times. This result suggests that the number of admissions is not a severity marker per se for the overall risk for premature death. At the same time, the risk for unnatural death in women, particularly suicide, was considerably increased in women admitted more than once (online Fig. DS1). The increase in SMR remained stable after two or more admissions: 25.8 (95% CI 22.2–29.9) in those admitted only once, 39.6 (95% CI 32.5–48.2) in those admitted twice and 39.2 (95% CI 30.7–50.0) in those admitted more than 10 times. In men, a similar but less prominent pattern was seen; the SMR for suicide was 15.0 (95% CI 13.2–17.1) for those admitted once, it was highest for those admitted three times, 21.9 (95% CI 17.1–28.1) and it was 16.9 (95% CI 11.4–25.0) for those admitted more than 10 times.

Comorbidity had a negative effect on overall SMR. Thus, the SMR for all causes increased from 3.3 (95% CI 2.2–4.9) in women and 2.4 (95% CI 1.9–3.1) in men without any comorbidity, to 6.5 (95% CI 6.1–6.9) in women and 5.7 (95% CI 5.4–6.0) in men admitted with both psychiatric and somatic diagnoses (Tables 4 and 5). The effect of psychiatric comorbidity was most obvious for unnatural causes of death, and particularly for death with undetermined intent. A comparison between those without comorbidity and those with psychiatric comorbidity showed that the SMR for death with undetermined intent increased from 7.7 (95% CI 1.1–55.0) to 32.9 (95% CI 17.1–63.2) in women, and from 4.1 (95% CI 1.3–12.6) to 18.8 (95% CI 12.4–28.5) in men. The effect of somatic comorbidity was more obvious for natural causes of death and resulted in a slightly increased all-cause SMR. Finally, there was no increase in SMR for natural causes in women or men with personality disorder without any comorbidity (SMRs of 1.5 (95% CI 0.8–2.9) and 1.0 (95% CI 0.6–1.6), respectively).

TABLE 4 Observed and expected number of deaths and standardised mortality ratios (SMRs) with 95% confidence intervals based on comorbidity after first admission for women

No comorbidities Admission with other psychiatric diagnoses Admission with diagnosis for somatic disease Both
Cause of death Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI)
Total 24 7.3 3.3 (2.2–4.9) 74 13.7 5.4 (4.3–6.8) 194 38.6 5.0 (4.4–5.8) 1206 185.6 6.5 (6.1–6.9)
Natural 10 6.5 1.5 (0.8–2.9) 25 11.9 2.1 (1.4–3.1) 130 33.3 3.9 (3.3–4.6) 602 160.3 3.8 (3.5–4.1)
Infections 0 0.1 0 0.1 4 0.4 10.4 (3.9–27.6) 17 1.8 9.2 (5.7–14.8)
Tumours 1 3.7 0.3 (0.0–1.9) 4 6.9 0.6 (0.2–1.6) 50 19.1 2.6 (2.0–3.5) 142 92.0 1.5 (1.3–1.8)
Endocrine 0 0.1 0 0.3 6 0.8 7.8 (3.5–17.5) 27 3.7 7.3 (5.0–10.7)
Mental
    Substance misuse 0 0.0 1 0.1 11.0 (1.6–78.4) 1 0.2 4.1 (0.6–29.2) 16 1.2 13.4 (8.2–21.9)
    Other 1 0.1 17.1 (2.4–121.4) 3 0.1 25.5 (8.2–79.1) 2 0.3 6.1 (1.5–24.3) 22 1.6 13.8 (9.1–21.0)
Nervous system 1 0.2 4.5 (0.6–32.1) 0 0.4 8 1.2 6.7 (3.3–13.3) 28 5.7 4.9 (3.4–7.1)
Cardiovascular 5 1.3 3.7 (1.5–8.9) 9 2.4 3.8 (2.0–7.3) 39 6.8 5.7 (4.2–7.8) 199 32.4 6.1 (5.3–7.1)
Respiratory 0 0.3 1 0.5 2.0 (0.3–14.0) 9 1.5 6.1 (3.2–11.8) 63 7.0 9.0 (7.1–11.6)
Gastrointestinal 0 0.3 1 0.5 2.0 (0.3–14.2) 5 1.4 3.6 (1.5–8.7) 37 6.7 5.5 (4.0–7.7)
Other 2 0.3 6.5 (1.6–26.1) 6 0.6 10.1 (4.6–22.6) 6 1.7 3.5 (1.6–7.9) 51 8.1 6.3 (4.8–8.3)
Unnatural 14 0.9 16.3 (9.6–27.4) 49 1.8 26.8 (20.3–35.5) 64 5.3 12.1 (9.5–15.5) 604 25.3 23.9 (22.1–25.9)
Suicide 13 0.4 33.1 (19.2–57.0) 36 0.9 42.3 (30.5–58.6) 46 2.4 18.9 (14.1–25.2) 410 11.7 35.0 (31.7–38.5)
Deaths with undetermined intent 1 0.1 7.7 (1.1–55.0) 9 0.3 32.9 (17.1–63.2) 10 0.8 13.1 (7.0–24.3) 89 3.7 24.0 (19.5–29.5)
Homicide 0 0.0 0 0.1 1 0.2 4.4 (0.6–31.2) 7 1.1 6.5 (3.1–13.6)
Traffic accidents 0 0.1 0 0.3 1 0.9 1.2 (0.2–8.2) 14 4.1 3.4 (2.0–5.8)
Other 0 0.2 4 0.3 11.7 (4.4–31.1) 6 1.0 6.2 (2.8–13.7) 84 C4.7 17.9 (14.5–22.2)

TABLE 5 Observed and expected number of deaths and standardised mortality ratios (SMRs) with 95% confidence intervals based on comorbidity after first admission for men

No comorbidities Admission with other psychiatric diagnoses Admission with diagnosis for somatic disease Both
Cause of death Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI) Observed, n Expected, n SMR (95% CI)
Total 59 24.3 2.4 (1.9–3.1) 157 35.7 4.4 (3.8–5.1) 224 63.4 3.5 (3.1–4.0) 1353 237.8 5.7 (5.4–6.0)
Natural 19 18.7 1.0 (0.6–1.6) 50 26.8 1.9 (1.4–2.5) 152 50.8 3.0 (2.6–3.5) 699 187.9 3.7 (3.5–4.0)
Infections 0 0.3 0 0.4 5 0.6 8.0 (3.3–19.3) 34 2.4 14.2 (10.2–19.9)
Tumours 1 6.4 0.2 (0.0–1.1) 2 9.1 0.2 (0.1–0.9) 36 17.8 2.0 (1.5–2.8) 107 65.3 1.6 (1.4–2.0)
Endocrine 1 0.5 1.8 (0.3–13.0) 0 0.8 6 1.4 4.2 (1.9–9.4) 25 5.3 4.7 (3.2–6.9)
Mental
    Substance abuse 2 0.5 4.3 (1.1–17.0) 3 0.7 4.3 (1.4–13.4) 0 1.1 44 4.4 10.0 (7.4–13.4)
    Other 2 0.5 4.4 (1.1–17.7) 1 0.7 1.4 (0.2–10.2) 3 1.0 2.9 (0.9–9.1) 28 4.1 6.9 (4.7–10.0)
Nervous system 1 0.6 1.7 (0.2–11.9) 1 0.9 1.1 (0.2–8.0) 15 1.5 10.2 (6.1–16.9) 27 5.6 4.8 (3.3–7.0)
Cardiovascular 11 7.0 1.6 (0.9–2.8) 26 9.9 2.6 (1.8–3.9) 59 19.7 3.0 (2.3–3.9) 273 71.9 3.8 (3.4–4.3)
Respiratory 1 0.7 1.4 (0.2–9.9) 6 1.0 5.8 (2.6–13.0) 6 2.0 3.0 (1.4–6.8) 47 7.3 6.5 (4.9–8.6)
Gastrointestinal 0 1.2 2 1.7 1.2 (0.3–4.7) 10 3.0 3.3 (1.8–6.1) 43 11.5 3.7 (2.8–5.0)
Other 0 1.1 9 1.6 5.6 (2.9–10.7) 12 2.7 4.5 (2.6–8.0) 71 10.2 7.0 (5.5–8.8)
Unnatural 40 5.6 7.1 (5.2–9.7) 107 8.9 12.1 (10.0–14.6) 72 12.6 5.7 (4.5–7.2) 654 49.9 13.1 (12.1–14.2)
Suicide 31 2.3 13.6 (9.6–19.4) 68 3.6 18.9 (14.9–23.9) 44 5.0 8.8 (6.5–11.8) 366 20.1 18.2 (16.4–20.2)
Deaths with undetermined intent 3 0.7 4.1 (1.3–12.6) 22 1.2 18.8 (12.4–28.5) 7 1.6 4.3 (2.1–9.1) 120 6.5 18.5 (15.4–22.1)
Homicide 1 0.2 5.3 (0.7–37.3) 0 0.3 2 0.4 4.9 (1.2–19.5) 9 1.6 5.5 (2.8–10.5)
Traffic accidents 2 1.0 2.1 (0.5–8.2) 1 1.6 0.6 (0.1–4.5) 13 2.2 5.9 (3.5–10.2) 29 8.5 3.4 (2.4–4.9)
Other 3 1.4 2.1 (0.7–6.5) 16 2.2 7.2 (4.4–11.8) 6 3.3 1.8 (0.8–4.0) 130 13.1 9.9 (8.4–11.8)

The increased SMR in individuals admitted to hospital for personality disorder is also reflected in a decreased cumulative survival over time (online Fig. DS2). The survival curves show a virtually linear decline in both women and men. Twenty years after their first discharge, 35% of the women and 41% of the men aged 40–64 at their first admission were dead, compared with an expected 10% and 15%, respectively. In those aged 15–39 at their first admission corresponding figures were 11% and 18% v. an expected 2% and 3%, respectively.

Discussion

Main findings

Our study shows that people who have been admitted to hospital with a diagnosis of personality disorder have a substantially increased risk of death compared with the general population, with five- to six-fold increased all-cause mortality, three-fold increased mortality for natural causes and more than 10-fold increased mortality for unnatural causes. Furthermore, in those with a comorbid psychiatric disorder the risk for suicide was found to be increased as much as 42-fold in women and 19-fold in men. The core results validate those found in a previous investigation in a smaller sample of people with personality disorder who had been treated as in-patients in northern Norway. Reference Hoye, Jacobsen and Hansen9 The most important finding is that the increased mortality is distributed among all clusters of personality disorder, and that differences between clusters are much smaller than the difference between the general population and people with personality disorder. There are virtually no differences between clusters with respect to natural deaths, whereas unnatural deaths are somewhat more frequent in cluster B and in ‘other personality disorder’ than in clusters A and C.

Comparison with findings from other studies

The gender distribution and the distribution between clusters in this cohort of patients with hospital admissions for personality disorder are similar to those in previous studies, i.e. with about 60% women and the dominance of cluster B and ‘other personality disorder’. Reference Fok, Hayes, Chang, Stewart, Callard and Moran6 These findings differ from global health survey data, where the incidence of personality disorder in males is about 2.5 times as high as in females, and with a fairly equal distribution between clusters. Reference Huang, Kotov, de Girolamo, Preti, Angermeyer and Benjet1 A possible explanation is that more cluster B patients receive care than those with clusters A and C, Reference Lenzenweger, Lane, Loranger and Kessler12 because, logically, of the clinical characteristics of cluster B, and also a gender bias when making psychiatric diagnoses. Reference Flanagan and Blashfield21 Furthermore, most patients in clinical practice with severe personality pathology do not fulfil criteria for a specified personality disorder diagnosis. Reference Flanagan and Blashfield21 This issue has been discussed previously in the context of findings in the National Comorbidity Survey Replication (NCS-R). Reference Lenzenweger, Lane, Loranger and Kessler12 There is also reason to suppose that patients reported as having ‘other personality disorder’ have more severe personality pathology, Reference Verheul, Bartak and Widiger22 as standard personality prototypes tend to merge as disturbance gets more severe Reference Yang, Coid and Tyrer23 and that greater severity is associated with greater mortality, including suicidal behaviour. Reference Blasco-Fontecilla, Baca-Garcia, Dervic, Perez-Rodriguez, Saiz-Gonzalez and Saiz-Ruiz24

The all-cause mortality in in-patient-treated individuals with a diagnosis of personality disorder is similar to that reported previously, Reference Fok, Hayes, Chang, Stewart, Callard and Moran6,Reference Nordentoft, Wahlbeck, Hallgren, Westman, Osby and Alinaghizadeh7,Reference Gale, Batty, Osborn, Tynelius, Whitley and Rasmussen25 and is also similar, for example, to that reported for anorexia nervosa (an SMR of 6.1 in women in the present study and 6.2 in patients with anorexia nervosa Reference Papadopoulos, Ekbom, Brandt and Ekselius26 ). It is considerably higher than that found previously for both affective disorders, with SMRs of 2.5 for bipolar disorders and 2.0 for unipolar disorders, Reference Osby, Brandt, Correia, Ekbom and Sparen27 and for schizophrenia, with an SMR of 2.8. Reference Osby, Correia, Brandt, Ekbom and Sparen28 Comparisons with these studies are appropriate as data are based on the same background population, using the same healthcare system and national healthcare registers.

Deaths by suicide

It is well established that patients with cluster B personality disorder, particularly borderline personality disorder and antisocial personality disorder, have an increased risk for suicide. Reference Grigoletti, Perini, Rossi, Biggeri, Barbui and Tansella5,Reference Hoye, Jacobsen and Hansen9,Reference Black, Blum, Pfohl and Hale29,Reference Goodman, Roiff, Oakes and Paris30 Thus, an accepted truth has been that about 8–10% of those receiving a diagnosis of borderline personality disorder die by suicide, Reference Gunderson31 which is about 50 times more than in the general population, 32 although SMR data for larger patient cohorts are lacking in the literature. We show (Tables 2 and 3) a mortality rate for suicide in women admitted to hospital for cluster B personality disorder that is close to the previously mentioned figure, an SMR of 34.5 (95% CI 30.2–39.3), whereas in men the figure is lower, SMR 16.0 (95% CI 13.6–19.0). Not unexpectedly, the high suicide mortality within cluster B is seen in those with a borderline personality disorder, as a subgroup analysis showed that the mortality from suicide in those with a diagnosis of borderline personality disorder was higher, although marginally so, than that in the aggregated cluster B group, both in women and in men (online Table DS3). A striking observation is that the mortality from suicide was similar in those with cluster B personality disorder and in those with ‘other personality disorder’, and also almost as high in those with cluster A and cluster C personality disorder. We also noticed that being admitted to hospital twice or more was associated with a further increased suicide rate in women. This is in accordance with the concept that women die by suicide after a number of attempts whereas men often take their own life at their first attempt. Reference Moscicki33

Deaths from natural causes

The increased mortality because of natural causes in patients with personality disorder has been explained by poorer general health and an unhealthy lifestyle, Reference Fok, Hayes, Chang, Stewart, Callard and Moran6 and also by barriers to receiving and maintaining adequate care for their comorbid physical conditions. Reference De Hert, Cohen, Bobes, Cetkovich-Bakmas, Leucht and Ndetei34,Reference De Hert, Correll, Bobes, Cetkovich-Bakmas, Cohen and Asai35 It is noteworthy that patients with personality disorder without any registered somatic or psychiatric comorbidity did not present with an increased SMR for natural causes.

Psychiatric comorbidity

Psychiatric comorbidity had only a moderate potentiating effect on the SMR for unnatural causes. This is consistent with previous studies suggesting that patients with personality disorder seek healthcare for their comorbid Axis I disorders, although their impairments are not a result of these disorders. Reference Huang, Kotov, de Girolamo, Preti, Angermeyer and Benjet1 The contribution of psychiatric comorbidity to the increased risk for premature death from unnatural causes is also in accordance with previous data indicating that patients with personality disorder who die by suicide commonly have a comorbid diagnosis, most often substance misuse or depressive disorder. Reference Hunt, Kapur, Robinson, Shaw, Flynn and Bailey36

Strengths and limitations

The strengths of the study include the population-based design using national registers with high levels of completeness and validity. However, there are some weaknesses. First, the study is based on patients with hospital admissions. Hospital admissions account for only a small part of all psychiatric interventions in Sweden, as in most countries. There is a true risk of selection bias in that a subgroup of patients with more severe problems in personality functioning are overrepresented in our cohort. Therefore, uncritical extrapolation to patients with personality disorder who are not treated as in-patients is not possible. On the other hand, a study based on no fewer than 1 095 338 Swedish men conscripted to military service between 1969 and 1994 showed that the increased risk of premature death associated with psychiatric disorders in general is not confined to those who have been admitted to hospital. Reference Gale, Batty, Osborn, Tynelius, Whitley and Rasmussen25 Furthermore, in a first analysis of patients in out-patient care in Sweden, with data from 2001 to 2011, mortality was also increased in those given only an out-patient diagnosis of personality disorder (data not shown).

Another issue is that the Swedish healthcare system requires that each patient be given a formal diagnosis. This is done at the discretion of the treating physician, which is why its scientific validity in individual cases can be questioned. Furthermore, the Swedish National Patient Register is based on the ICD diagnostic system, whereas the personality disorder cluster concept is part of the DSM system. As the diagnostic concordance between the systems is acceptable to high with respect to different personality disorders Reference Ottosson, Ekselius, Grann and Kullgren37 we chose to apply the cluster concept in the present study. This was also motivated by the fact that in spite of the relatively large cohort there was not sufficient statistical power to report the findings for each personality disorder by primary ICD code/category. Moreover, there is not total agreement between ICD-9 and ICD-10 with respect to the criteria for different personality disorders. This has an impact on the criteria for cluster B and ‘other personality disorder’ that might influence interpretation of the data. We therefore analysed subcohorts with ICD-9 and ICD-10 data separately, and adjusted the follow-up time for the former to fit with that of the latter. Both cohorts showed similar SMRs, particularly in cluster B and ‘other personality disorder’, although with very wide confidence intervals for the less common clusters A and C (online Table DS2). It must also be kept in mind that certain individual behaviours indicating a risk of mortality, such as suicidality or excessive risk-taking, may constitute an incentive to consider a diagnosis of personality disorder.

An additional issue is that we were not able to control for known potentially important confounders such as family history of personality disorder or other mental disorders, or for socioeconomic status. Finally, the study design, which was chosen to maximise time for follow-up and thereby increase power in the analysis, did not allow for an assessment of in-patient care of other causes than personality disorder before the first-index episode. Morbidity was therefore only based on in-patient care occurring after the first episode. A consequence was that the time course of symptoms leading to in-patient care, and the importance of these with respect to mortality, could not be studied.

Implications

Patients with a personality disorder diagnosis consume a great deal of healthcare as a result of physical as well as mental conditions. Reference Coid, Yang, Tyrer, Roberts and Ullrich38,Reference Torgersen, Kringlen and Cramer39 Despite higher levels of healthcare utilisation, they have a profoundly increased mortality risk. This marked increase in excess mortality casts a shadow over the issue of whether they are given the care they need. Reference Nordentoft, Wahlbeck, Hallgren, Westman, Osby and Alinaghizadeh7 Increased awareness on the part of professionals is desirable regarding the health risks associated with personality disorder.

Funding

E.B. and C.B. were employed by the Swedish National Board of Health and Welfare during the study. Additional financial support was provided by a grant to L.E. from the Swedish Research Council.

Footnotes

Presented in part at the 166th American Psychiatric Association Annual Meeting 18–22 May 2013, San Francisco, California, USA

Declaration of interest

H.H. has participated on an advisory board for Janssen-Cilag AB. L.E. participates on advisory boards for H. Lundbeck A/S and Eli Lilly Sweden AB.

References

1 Huang, Y, Kotov, R, de Girolamo, G, Preti, A, Angermeyer, M, Benjet, C, et al. DSM-IV personality disorders in the WHO World Mental Health Surveys. Br J Psychiatry 2009; 195: 4653.CrossRefGoogle ScholarPubMed
2 American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (4th edn, revised) (DSM–IV-TR). APA, 2000.Google Scholar
3 World Health Organization. The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines. WHO, 1992.Google Scholar
4 Harris, EC, Barraclough, B. Excess mortality of mental disorder. Br J Psychiatry 1998; 173: 1153.Google Scholar
5 Grigoletti, L, Perini, G, Rossi, A, Biggeri, A, Barbui, C, Tansella, M, et al. Mortality and cause of death among psychiatric patients: a 20-year case-register study in an area with a community-based system of care. Psychol Med 2009; 39: 1875–84.Google Scholar
6 Fok, ML, Hayes, RD, Chang, CK, Stewart, R, Callard, FJ, Moran, P. Life expectancy at birth and all-cause mortality among people with personality disorder. J Psychosom Res 2012; 73: 104–7.Google Scholar
7 Nordentoft, M, Wahlbeck, K, Hallgren, J, Westman, J, Osby, U, Alinaghizadeh, H, et al. Excess mortality, causes of death and life expectancy in 270,770 patients with recent onset of mental disorders in Denmark, Finland and Sweden. PLoS One 2013; 8: e55176.Google Scholar
8 Ajetunmobi, O, Taylor, M, Stockton, D, Wood, R. Early death in those previously hospitalised for mental healthcare in Scotland: a nationwide cohort study, 1986–2010. BMJ Open 2013; 3: e002768.CrossRefGoogle Scholar
9 Hoye, A, Jacobsen, BK, Hansen, V. Sex differences in mortality of admitted patients with personality disorders in North Norway–a prospective register study. BMC Psychiatry 2013; 13: 317.Google Scholar
10 Crump, C, Sundquist, K, Winkleby, MA, Sundquist, K. Mental disorders and vulnerability to homicidal death: Swedish nationwide cohort study. BMJ 2013; 346: f557.CrossRefGoogle ScholarPubMed
11 Hiroeh, U, Appleby, L, Mortensen, PB, Dunn, G. Death by homicide, suicide, and other unnatural causes in people with mental illness: a population-based study. Lancet 2001; 358: 2110–2.Google Scholar
12 Lenzenweger, MF, Lane, MC, Loranger, AW, Kessler, RC. DSM-IV personality disorders in the National Comorbidity Survey Replication. Biol Psychiatry 2007; 62: 553–64.CrossRefGoogle ScholarPubMed
13 Zimmerman, M, Chelminski, I, Young, D. The frequency of personality disorders in psychiatric patients. Psychiatr Clin North Am 2008; 31: 405–20, vi.Google Scholar
14 Douzenis, A, Tsopelas, C, Tzeferakos, G. Medical comorbidity of cluster B personality disorders. Curr Opin Psychiatry 2012; 25: 398404.Google Scholar
15 Lee, HB, Bienvenu, OJ, Cho, SJ, Ramsey, CM, Bandeen-Roche, K, Eaton, WW, et al. Personality disorders and traits as predictors of incident cardiovascular disease: findings from the 23-year follow-up of the Baltimore ECA study. Psychosomatics 2010; 51: 289–96.Google Scholar
16 Schneider, B, Wetterling, T, Sargk, D, Schneider, F, Schnabel, A, Maurer, K, et al. Axis I disorders and personality disorders as risk factors for suicide. Eur Arch Psychiatry Clin Neurosci 2006; 256: 1727.Google Scholar
17 Ludvigsson, JF, Otterblad-Olausson, P, Pettersson, BU, Ekbom, A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol 2009; 24: 659–67.CrossRefGoogle ScholarPubMed
18 Ludvigsson, JF, Andersson, E, Ekbom, A, Feychting, M, Kim, JL, Reuterwall, C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health 2011; 11: 450.Google Scholar
19 World Health Organization. International Statistical Classification of Diseases and Related Health Problems (ICD–9). WHO, 1978.Google Scholar
20 National Board of Health and Welfare. Causes of Death 2011. National Board of Health and Welfare, 2012.Google Scholar
21 Flanagan, EH, Blashfield, RK. Gender bias in the diagnosis of personality disorders: the roles of base rates and social stereotypes. J Pers Disord 2003; 17: 431–46.CrossRefGoogle ScholarPubMed
22 Verheul, R, Bartak, A, Widiger, T. Prevalence and construct validity of personality disorder not otherwise specified (PDNOS). J Pers Disord 2007; 21: 359–70.Google Scholar
23 Yang, M, Coid, J, Tyrer, P. Personality pathology recorded by severity: national survey. Br J Psychiatry 2010; 197: 193–9.Google Scholar
24 Blasco-Fontecilla, H, Baca-Garcia, E, Dervic, K, Perez-Rodriguez, MM, Saiz-Gonzalez, MD, Saiz-Ruiz, J, et al. Severity of personality disorders and suicide attempt. Acta Psychiatr Scand 2009; 119: 149–55.CrossRefGoogle ScholarPubMed
25 Gale, CR, Batty, GD, Osborn, DP, Tynelius, P, Whitley, E, Rasmussen, F. Association of mental disorders in early adulthood and later psychiatric hospital admissions and mortality in a cohort study of more than 1 million men. Arch Gen Psychiatry 2012; 69: 823–31.Google Scholar
26 Papadopoulos, FC, Ekbom, A, Brandt, L, Ekselius, L. Excess mortality, causes of death and prognostic factors in anorexia nervosa. Br J Psychiatry 2009; 194: 10–7.Google Scholar
27 Osby, U, Brandt, L, Correia, N, Ekbom, A, Sparen, P. Excess mortality in bipolar and unipolar disorder in Sweden. Arch Gen Psychiatry 2001; 58: 844–50.Google Scholar
28 Osby, U, Correia, N, Brandt, L, Ekbom, A, Sparen, P. Mortality and causes of death in schizophrenia in Stockholm county, Sweden. Schizophr Res 2000; 45: 21–8.Google Scholar
29 Black, DW, Blum, N, Pfohl, B, Hale, N. Suicidal behavior in borderline personality disorder: prevalence, risk factors, prediction, and prevention. J Pers Disord 2004; 18: 226–39.Google Scholar
30 Goodman, M, Roiff, T, Oakes, AH, Paris, J. Suicidal risk and management in borderline personality disorder. Curr Psychiatry Rep 2012; 14: 7985.Google Scholar
31 Gunderson, JG. Clinical practice. Borderline personality disorder. N Engl J Med 2011; 364: 2037–42.Google Scholar
32 Work Group on Borderline Personality Disorder. Practice guideline for the treatment of patients with borderline personality disorder. Am J Psychiatry 2001; 158 (suppl 10): 152.Google Scholar
33 Moscicki, EK. Gender differences in completed and attempted suicides. Ann Epidemiol 1994; 4: 152–8.Google Scholar
34 De Hert, M, Cohen, D, Bobes, J, Cetkovich-Bakmas, M, Leucht, S, Ndetei, DM, et al. Physical illness in patients with severe mental disorders. II. Barriers to care, monitoring and treatment guidelines, plus recommendations at the system and individual level. World Psychiatry 2011; 10: 138–51.Google Scholar
35 De Hert, M, Correll, CU, Bobes, J, Cetkovich-Bakmas, M, Cohen, D, Asai, I, et al. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry 2011; 10: 5277.Google ScholarPubMed
36 Hunt, IM, Kapur, N, Robinson, J, Shaw, J, Flynn, S, Bailey, H, et al. Suicide within 12 months of mental health service contact in different age and diagnostic groups: National clinical survey. Br J Psychiatry 2006; 188: 135–42.Google Scholar
37 Ottosson, H, Ekselius, L, Grann, M, Kullgren, G. Cross-system concordance of personality disorder diagnoses of DSM-IV and diagnostic criteria for research of ICD-10. J Pers Disord 2002; 16: 283–92.CrossRefGoogle ScholarPubMed
38 Coid, J, Yang, M, Tyrer, P, Roberts, A, Ullrich, S. Prevalence and correlates of personality disorder in Great Britain. Br J Psychiatry 2006; 188: 423–31.Google Scholar
39 Torgersen, S, Kringlen, E, Cramer, V. The prevalence of personality disorders in a community sample. Arch Gen Psychiatry 2001; 58: 590–6.Google Scholar
Figure 0

TABLE 1 Descriptive statistics for all patients admitted to hospital for a personality disorder between 1987 and 2011 in Sweden

Figure 1

TABLE 2 Standardised mortality ratios (SMRs) with 95% confidence intervals for all those with personality disorder and by the different clusters in women

Figure 2

TABLE 3 Standardised mortality ratios (SMRs) with 95% confidence intervals for all those with personality disorder and by the different clusters in men

Figure 3

TABLE 4 Observed and expected number of deaths and standardised mortality ratios (SMRs) with 95% confidence intervals based on comorbidity after first admission for women

Figure 4

TABLE 5 Observed and expected number of deaths and standardised mortality ratios (SMRs) with 95% confidence intervals based on comorbidity after first admission for men

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