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Open Access 08.08.2023 | Research

Risk factors for mortality after hospitalization for suicide attempt: results of 11-year follow-up study in Piedmont Region, Italy

verfasst von: Emina Mehanović, Gianluca Rosso, Gian Luca Cuomo, Roberto Diecidue, Giuseppe Maina, Giuseppe Costa, Federica Vigna-Taglianti

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 6/2024

Abstract

Purpose

Suicide attempters are at high risk of premature death, both for suicide and for non-suicidal causes. The aim of this study is to investigate risk factors and temporal span for mortality in a cohort of cases admitted to hospital for suicide attempt.

Methods

The cohort included 1489 patients resident in Piedmont Region, North West of Italy, who had been admitted to hospital or emergency department for suicide attempt between 2010 and 2020. Cox regression models were used to identify risk factors for death. The final multivariate model included gender, age, area deprivation index, family composition, psychiatric disorders, malignant neoplasms, neurological disorders, diabetes mellitus, cardiovascular diseases, chronic obstructive pulmonary disease, and intracranial injury or skull fracture.

Results

During the observation period, 7.3% of patients died. The highest mortality was observed within the first 12 months after suicide attempt, and remained elevated for many years afterwards. Male gender, older age, high deprivation index of the census area, single-parent family, mood disorders, malignant neoplasms, diabetes mellitus and intracranial injuries or skull fracture were independent predictors of death. Risk factors for natural and unnatural causes of death were also identified.

Conclusions

The mortality risk of suicide attempters is very high, both in the months immediately following the attempt and afterwards. The identification of high-risk groups can help to plan outpatient care following the hospital discharge. Our findings urge the need to design strategies for the assistance and care of these patients at long term in order to reduce the unfavourable outcomes.

Introduction

Suicide attempters are at high risk of premature death, both for suicide and for non-suicidal causes [113]. Mortality rates vary from 1.2 to 37.6% in studies covering a follow-up period of 1–32 years [13, 5, 7, 9, 10, 1219]. The risk of death is highest within the first year after the episode of suicide attempt and remains elevated for many years afterwards [1, 2, 6, 7, 10, 11, 13, 16, 17, 20, 21].
The burden of suicide attempt is difficult to estimate due to underreporting and lack of standard reporting procedures in many countries. The prevalence of lifetime suicide attempt was estimated as 1.8% in 2001–2003 in Europe [22], and 0.3–4.2% in 2001–2007 worldwide [2325]. In more recent years, an increasing trends of suicide attempt rates have been reported in some countries [2630].
The identification of sociodemographic and clinical risk factors predicting premature mortality is of paramount importance to address high-risk subgroups and target them with appropriate health care and prevention interventions. A number of risk factors for mortality have been documented in prospective studies, i.e. male gender, older age, living alone, being single, lower education, income area/socioeconomic status, unemployment, retirement, violent method of suicide attempt and repetition of attempt [17, 9, 11, 1318, 20, 3134]. Psychiatric disorders and physical illnesses co-occur commonly and represent a noteworthy risk factor for increased mortality among suicide attempters, particularly in the presence of both conditions [2, 4, 5, 21, 22, 28, 31, 3537]. Among psychiatric disorders, anxiety, depressive and bipolar disorder, schizophrenia, alcohol and drug abuse, and personality disorder are the most recognized co-existing diagnoses associated with mortality risk, and when co-occurring can significantly reduce the temporal interval from first episode of suicide attempt to death [3, 4, 6, 9, 13, 20, 21, 33, 37].
Most studies on risk factors for mortality following suicide attempt were conducted in North-Europe where the rates of suicidal behaviours are particularly high. Due to different prevalence rates and context, studies investigating the phenomenon in South-Europe are needed.
The aim of this study is to investigate risk factors and temporal span for mortality in a cohort of cases admitted to hospital or emergency department for suicide attempt between 2010 and 2020 in Piedmont, a North–West Italian Region with high rates of suicidal behaviour [38].

Methods

Study sample

The cohort included 1489 patients resident in Piedmont, a region of 4.4 million inhabitants in North West of Italy, who had been admitted to hospital or emergency department (ED) for suicide attempt between 1st January 2010 and 31st December 2020.
Suicide attempts were defined according to the International Classification of Diseases, 9th Revision (ICD-9), as recorded at hospital or emergency department discharge: suicide and self-inflicted injury (E950-E959), injury undetermined whether accidentally or intentionally inflicted (E980-E989), and suicidal ideation (V62.84).
All patients who had at least one episode of suicide attempt during the study period were included in the cohort. If there was more than one episode of suicide attempt, the first episode occurred during the study period was used to define the patients’ date of entry into the cohort. In order to allow record-linkage of administrative and health data, only subjects who resided in Piedmont at the time of ED or hospital discharge were included in the cohort. Patients aged 12–74 years were included in the study. Patients were followed until death, emigration, or the end of the study. Follow-up started from the date of discharge from hospital or ED. All patients were followed up longitudinally for up to 11 years, i.e. follow-up ended on 31st December 2020.

Data collection

Information on the patients in the study was collected through a record-linkage of the administrative and health data available in the Piedmont Longitudinal Study. Linkage of the data archives was done using an anonymous identification code under the frame of the National Statistical Act that legitimates the use and linkages of data for scientific purposes without the need of an Ethical Committee approval.
The sources of data were: 2011 Population Census of the Piedmont Region and the NHS Regional Population Registry for sociodemographic characteristics; and the hospital discharges and emergency department databases for health-related conditions and diagnoses. Information on all-cause mortality (dead/alive) was extracted from the NHS Regional Population Registry available for the period 2010–2020. Information on cause-specific mortality was obtained from the Mortality Register of the Piedmont Region available for the period 2010–2018.

Measures

The following sociodemographic characteristics were extracted: gender, date of birth, age at the index episode of suicide attempt, deprivation index of the census area, marital status, education, occupation and family composition. Area deprivation index was based on five conditions describing social and material deprivation, measured at the census section level: % of population with low education, % of unemployed, % of population living in rented houses, in crowded households, in single-parent families. The area deprivation index was then categorized in quintiles (1st = lowest to 5th = highest deprivation) [39].
Psychiatric disorders were coded according to the International Classification of Diseases, 9th Revision (ICD-9): schizophrenia [schizophrenic disorders (295–295.95), other non-organic psychosis (297–298.9)]; bipolar disorders (296.0–296.16, 296.4–296.81, 296.89); personality disorders (301–301.9); depressive disorders (296.2–296.36, 300.4, 311); drug and alcohol dependence (291–292.9, 303–305.93); anxiety disorders (300.0–300.3, 300.5–300.9); adjustment disorders [adjustment reaction (309–309.9), acute reaction to stress (308–308.9)]; dementia [dementia (290–290.9), other mental disorders due to organic condition (293–294.9)]. A mutually exclusive categorisation of psychiatric diagnoses was used, applying the following hierarchy: schizophrenia, bipolar disorder, personality disorder, depressive disorder, drug and alcohol dependence, anxiety disorder, adjustment disorder, others (dementia and other mental disorder due to organic condition), none.
The following physical illnesses were studied (ICD-9 codes): malignant neoplasm (140–208.91); neurological disorders [Alzheimer’s disease (331.0), Parkinson’s disease (332–332.1), extrapyramidal diseases and myelopathies (333–336.9), disorders of autonomic nervous system (337–337.9), multiple sclerosis (340), epilepsy and recurrent seizures (345–345.91), migraine (346–346.91), disorders of peripheral nervous system (350–359.9)]; diabetes mellitus (250–250.93); cardiovascular diseases [hypertension (401–405.99), ischemic heart disease (410–414.9), cerebrovascular disease (430–438.9)]; chronic obstructive pulmonary disease (490–496); dorsopathies (720–724.9); intracranial injury or skull fracture (850–854.19, 800–804.99). Physical illnesses were analysed as dichotomous variables (yes/no).
Causes of death were classified according to the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10), and for the scope of this study were grouped in natural deaths [neoplasms (C00-D48); endocrine, nutritional, and metabolic diseases (E00-E90); mental and behavioural disorders (F00-F99); diseases of the nervous system and sense organs (G00-H95); diseases of the circulatory system (I00-I99); diseases of the respiratory system (J00-J99)]; and unnatural deaths [accidents (V01-X59); intentional self-harm (X60-X84); assaults (X85-Y09)].

Statistical analysis

The primary outcome under study was all-cause death (yes/no).
Secondary analyses were conducted on cause-specific mortality (natural and unnatural).
Descriptive statistics were used to describe the study population by gender. Kaplan–Meier survival analysis was used to plot temporal patterns of death after ED or hospital discharge for suicide attempt. The curves of the subgroups were compared through log-rank test. For each patient in the cohort, person-years of survival were calculated starting from the date of discharge from ED or hospital of the index episode to the date of death or the end of follow-up.
Gender, age, area deprivation index, marital status, education, family composition, psychiatric disorders and physical illnesses were evaluated as risk factors for death in Cox regression models.
Unadjusted Cox regression models were performed to identify risk factor independently from other covariates. Collinearity among variables was checked. The non-collinear and statistically significant variables were then selected to build the multivariate model. Due to correlation between marital status and family composition (r = 0.7), only family composition was included in the final model. However, sensitivity analysis was performed with marital status included in the model instead of family composition. Some variables had several missing data, therefore, to minimize the reduction of cases in the regression models, the additional level “Missing” was created. Analyses of Schoenfeld residuals and Kaplan–Meier were performed to test proportional hazard assumptions, before building the final multivariate Cox regression model. The proportional hazard assumption was satisfied for all variables except for psychiatric disorders and chronic obstructive pulmonary diseases in the model focused on unnatural deaths. Since the Kaplan–Meier survival curves showed violation only in the first months of the follow-up, both factors were added in the Cox regression model. However, results of this model should, therefore, be considered in light of this limitation.
The final Cox model included: gender, age, area deprivation index, family composition, psychiatric disorders, malignant neoplasms, neurological disorders, diabetes mellitus, cardiovascular disorders, chronic obstructive pulmonary disease and intracranial injury or skull fracture. As regards psychiatric disorders, the diagnoses included in the category of “other disorders” (personality disorder, drug and alcohol dependence, anxiety disorder, adjustment disorder, dementia and other disorders due to organic conditions) showed protective effect compared to no disorder at all in the preliminary analysis. Therefore, in the multivariate analysis, these two groups were merged as reference level, and psychiatric disorders were re-grouped into three categories: none/other disorders; schizophrenia; and mood disorders (bipolar and depressive disorders). The multivariate Cox regression models assessing risk factors for natural and unnatural causes of death were run on the restricted sample of patients entering the cohort between 2010 and 2018.
All the analyses were performed by using STATA 16 statistical software [40].

Results

Descriptive statistics

Sociodemographic and clinical characteristics of the study sample are shown in Table 1.
Table 1
Characteristics of patients admitted to hospital or ED for suicide attempt between 2010 and 2020, in Piedmont Region, Italy, by gender
Characteristics
Suicide attempters
Overall
(N = 1489)
Males
(N = 672)
Females
(N = 817)
P
n
%
n
%
n
%
Age (years)
       
Mean ± SD
38.6 (17.4)
42.1 (16.2)
35.7 (17.8)
 < 0.001
Age groups (years)
       
 12–14
122
8.2
22
3.3
100
12.2
 < 0.001
 15–29
388
26.1
149
22.2
239
29.3
 30–44
353
23.7
182
27.1
171
20.9
 45–59
449
30.1
222
33.0
227
27.8
 60–74
177
11.9
97
14.4
80
9.8
Area deprivation index
       
 1 quintile (lowest deprivation)
282
18.9
139
20.7
143
17.5
0.167
 2 quintile
254
17.1
112
16.7
142
17.4
 3 quintile
255
17.1
105
15.6
150
18.4
 4 quintile
271
18.2
115
17.1
156
19.1
 5 quintile (highest deprivation)
226
15.2
98
14.6
128
15.7
Missing
201
13.5
103
15.3
98
12.0
 Marital status
       
 Married
390
26.2
192
28.6
198
24.2
0.037
 Unmarried
706
47.4
293
43.6
413
50.6
 Separated/Divorced
165
11.2
74
11.0
91
11.1
 Widowed
36
2.4
14
2.1
22
2.7
 Missing
192
12.9
99
14.7
93
11.4
Education
       
 University
64
4.3
29
4.3
35
4.3
 < 0.001
 High school
236
15.9
107
15.9
129
15.8
 Middle school
599
40.2
299
44.5
300
36.7
 Elementary school
175
11.7
90
13.4
85
10.4
 None
194
13.0
43
6.4
151
18.5
 Missing
221
14.8
104
15.5
117
14.3
Occupation
       
 Employed
486
32.6
285
42.4
201
24.6
 < 0.001
 Unemployed
117
7.9
56
8.3
61
7.5
 Retired
126
8.5
69
10.3
57
7.0
 Othera
278
18.7
91
13.5
187
22.9
 Missing
482
32.4
171
25.5
311
38.1
Family composition
       
 Couples with children
656
44.1
276
41.1
380
46.5
 < 0.001
 Couples without children
157
10.5
74
11.0
83
10.2
 Single parent
227
15.3
84
12.5
143
17.5
 Single
221
14.8
125
18.6
96
11.8
 Otherb
26
1.8
9
1.3
17
2.1
 Missing
202
13.6
104
15.5
98
12.0
Psychiatric disorders
       
 Schizophrenia
423
28.4
193
28.7
230
28.2
0.001
 Bipolar disorder
98
6.6
40
6.0
58
7.1
 Personality disorder
319
21.4
134
19.9
185
22.6
 Depressive disorder
250
16.8
103
15.3
147
18.0
 Drug and alcohol dependence
80
5.4
53
7.9
27
3.3
 Anxiety disorder
67
4.5
24
3.6
43
5.3
 Adjustment disorder
63
4.2
24
3.6
39
4.8
 Otherc
9
0.6
5
0.7
4
0.5
 None
180
12.1
96
14.3
84
10.3
Malignant neoplasms
88
5.9
46
6.8
42
5.1
0.165
Neurological disorders
204
13.7
78
11.6
126
15.4
0.033
Diabetes Mellitus
82
5.5
48
7.1
34
4.2
0.012
Cardiovascular diseases
270
18.1
162
24.1
108
13.2
 < 0.001
Chronic obstructive pulmonary disease
89
6.0
45
6.7
44
5.4
0.288
Dorsopathies
318
21.4
147
21.9
171
20.9
0.658
Intracranial injury/Skull fracture
196
13.2
103
15.3
93
11.4
0.025
SD standard deviation, P p-value
aOther: student, housewife, other conditions
bOther: families with two or more nucleus or other relatives
cOther: dementia and other mental disorders due to organic condition
From 2010 to 2020 in Piedmont Region, a total of 1489 patients aged 12–74 years were admitted to hospital or ED with a diagnosis of first suicide attempt, 817 (54.9%) females and 672 (45.1%) males. The mean age of the patients was 38.6 (± 17.4), males being older than females (42.1 vs. 35.7, p < 0.001). About 34% were adolescents and young adults aged 12–29 years. No differences were observed for area deprivation index. Sixty-one percent of patients were alone (unmarried, separated or divorced, widowed), 64.4% among females and 56.7% among males (p < 0.037). About 40% of patients had middle school education level, a greater proportion of males had middle (44.5% vs. 36.7%) and elementary school education (13.4% vs. 10.4%), whilst no education was more frequent among females (18.5% vs. 6.4%) (p < 0.001). About one third of patients were employed (42.4% of males vs. 24.6% of females) and 8.5% were retired (10.3% of males vs. 7.0% of females) (p < 0.001). A higher proportion of females lived in families defined as couples with children and single-parent families (46.5% vs. 41.1%, and 17.5% vs. 12.5%, respectively), whereas the proportion of singles was higher among males (18.6% vs. 11.8%) (p < 0.001).
Eighty-eight percent of patients had a record of psychiatric disorders, with a greater proportion of males being diagnosed with drug and alcohol dependence (7.9% vs. 3.3%), and females with personality disorder (22.6% vs. 19.9%), depressive disorder (18.0% vs. 15.3%) and anxiety disorder (5.3% vs. 3.6%) (p = 0.001).
A greater proportion of males was diagnosed with diabetes mellitus (7.1% vs. 4.2%, p = 0.012), cardiovascular diseases (24.1% vs. 13.2%, p < 0.001) and intracranial injury or skull fracture (15.3% vs. 11.4%, p = 0.025), whereas females with neurological disorders (15.4% vs. 11.6%, p = 0.033).
During the observation period, 7.3% of patients died (10.0% of males and 5.0% of females, p = 0.001).

Survival analysis

The Kaplan–Meier survival curves by gender and psychiatric disorders are shown in Figs. 1 and 2.
Mortality was highest during the first 12 months after the index suicide attempt: 45.4% of deaths occurred in the first year, 14.8% in the second year, and the others were sparse over the following 7 years. No deaths occurred in the last 2 years of the observation period.
Through the entire follow-up, the survival rate was significantly lower for males than females (log rank p < 0.001); 33 males and 16 females died in the first 12 months (Fig. 1).
The survival rate was significantly lower for patients diagnosed with schizophrenia and mood disorders than those with no disorders or other disorders (log rank p = 0.003) (Fig. 2). This was observed also when looking at natural causes of death (data not shown).

Cox regression models for all-cause mortality

In unadjusted Cox regression models, the risk of death was significantly higher for males, progressively increased with age, and was significantly higher for widowed, couples without children, single-parent family, and single. The risk of death was significantly associated with schizophrenia, mood disorders, malignant neoplasms, neurological disorders, diabetes mellitus, cardiovascular diseases and chronic obstructive pulmonary diseases. The association of high area deprivation index and intracranial injury or skull fracture with the risk of death was marginally significant (Table 2).
Table 2
Risk factors for all-cause death (2010–2020): unadjusted Cox regression models
Characteristics
Death
PY
Crude HR (95% CI)
P
Gender
    
 Female
41
40,340.45
1
 
 Male
67
33,307.89
1.99 (1.35–2.93)
0.001
Age (years)
108
73,648.34
1.07 (1.06–1.09)
 < 0.001
Age groups (years)
    
 12–29
6
20,884.64
1
 
 30–44
19
20,617.19
3.47 (1.38–8.71)
0.008
 45–59
32
24,156.78
4.94 (2.06–11.82)
 < 0.001
60–74
51
7989.73
22.65 (9.72–52.81)
 < 0.001
Area deprivation index
    
 1–3 quintile (lowest deprivation)
50
39,147.68
1
 
 4 quintile
26
13,429.17
1.51 (0.94–2.43)
0.087
 5 quintile (highest deprivation)
19
11,656.27
1.27 (0.75–2.16)
0.370
 Missing
13
9415.22
1.07 (0.58–1.96)
0.839
Marital status
    
 Married
39
20,964.02
1
 
 Unmarried
28
32,159.99
0.45 (0.28–0.74)
0.001
 Separated/divorced
17
9947.09
0.95 (0.54–1.68)
0.862
 Widowed
12
1674.07
3.80 (1.99–7.27)
 < 0.001
 Missing
12
8903.17
0.70 (0.37–1.34)
0.286
Education
    
 University/High school
26
16,463.83
1
 
 Middle school
46
33,746.21
0.87 (0.53–1.40)
0.556
 Elementary school
20
8696.26
1.40 (0.79–2.51)
0.255
 None
4
5535.84
0.37 (0.13–1.07)
0.068
 Missing
12
9206.2
0.77 (0.39–1.52)
0.444
Family composition
    
 Couples with children
26
29,885.42
1
 
 Couples without children
24
8945.8
3.25 (1.86–5.66)
 < 0.001
 Single parent
20
10,926.96
2.12 (1.19–3.80)
0.011
 Single
24
13,055.24
2.25 (1.29–3.92)
0.004
 Othera
2
1343.98
1.81 (0.43–7.63)
0.418
 Missing
12
9490.94
1.47 (0.74–2.91)
0.272
Psychiatric disorders
    
 None/Other disordersb
36
36,602.45
1
 
 Schizophrenia
40
22,235.15
1.85 (1.18–2.90)
0.007
 Mood disordersc
32
14,810.74
2.11 (1.31–3.39)
0.002
Malignant neoplasms
    
 No
76
69,209.33
1
 
 Yes
32
4439.01
6.60 (4.37–9.99)
 < 0.001
Neurological disorders
    
 No
82
62,185.65
1
 
 Yes
26
11,462.69
1.79 (1.15–2.78)
0.010
Diabetes mellitus
    
 No
91
69,357.38
1
 
 Yes
17
4290.96
3.13 (1.86–5.25)
 < 0.001
Cardiovascular diseases
    
 No
67
59,062.47
1
 
 Yes
41
14,585.87
2.53 (1.71–3.73)
 < 0.001
Chronic obstructive pulmonary disease
    
 No
90
69,198.76
1
 
 Yes
18
4449.58
3.11 (1.87–5.15)
 < 0.001
Dorsopathies
    
 No
83
55,851.4
1
 
 Yes
25
17,796.94
0.97 (0.62–1.52)
0.897
Intracranial injury/Skull fracture
    
 No
86
63,036.72
1
 
 Yes
22
10,611.62
1.57 (0.98–2.50)
0.061
Statistically significant results are marked in bold
PY person-years, HR hazard ratios, CI confidence interval, P p-value
aOther: families with two or more nucleus or other relatives
bOther disorders: personality disorder, drug and alcohol dependence, anxiety disorder, adjustment disorder, dementia and other mental disorders due to organic condition
cMood disorders: bipolar disorder, depressive disorder
In the multiple Cox regression model, male suicide attempters had 86% higher risk of premature death than females (HR 1.86, 95%CI 1.24–2.78). The risk of death was associated with age, with 6% increased risk for each year of increase in age (HR 1.06, 95%CI 1.04–1.08). High deprivation index of the residence area (4th quintile) was associated with 71% increased risk of mortality compared to low deprivation (1st–3rd quintile) (p = 0.037). Single-parent family was a significant predictor of death as compared to family defined as couples with children, and the risk was doubled (HR 2.48, 95%CI 1.36–4.53). In sensitivity analysis including marital status in the model instead of family composition, widowed patients were associated with twofold higher risk of death (HR 2.44, 95%CI 1.22–4.90) (data not shown). Mood disorders predicted 72% increased risk of death as compared to no or other psychiatric diagnosis (p = 0.037). The diagnosis of intracranial injury or skull fracture and malignant neoplasms were associated with 1.67–2.71 times greater mortality (p = 0.050, p < 0.001, respectively), whilst the other diseases did not reach significance level (Table 3).
Table 3
Risk factors for all-cause, natural-cause and unnatural-cause death: multivariate Cox regression models
Characteristics
All-cause death
(2010–2020)
N = 1489
 
Natural-cause death
(2010–2018)
N = 1082
 
Unnatural-cause death
(2010–2018)
N = 1073
Adj HR
(95% CI)
P
n/N
Adj HR
(95% CI)
P
n/N
Adj HR
(95% CI)
P
Gender (ref: female)
  
19/579
  
11/571
  
 Male
1.86 (1.24–2.78)
0.003
25/503
1.41 (0.74–2.70)
0.300
24/502
2.51 (1.21–5.24)
0.014
Age (years)
1.06 (1.04–1.08)
 < 0.001
44/1082
1.08 (1.05–1.12)
 < 0.001
35/1073
1.03 (1.00–1.06)
0.051
Area deprivation index (ref: 1–3 quintile)
  
18/583
  
18/583
  
 4 quintile
1.71 (1.03–2.83)
0.037
11/197
1.93 (0.79–4.68)
0.147
8/194
1.53 (0.64–3.65)
0.333
 5 quintile (highest deprivation)
1.29 (0.74–2.25)
0.364
8/164
1.39 (0.55–3.55)
0.487
4/160
0.81 (0.27–2.45)
0.704
 Missing
5.18 (0.80–33.39)
0.084
7/138
1.97 (0.02–210.91)
0.776
5/136
8.44 (1.07–66.88)
0.043
Family composition (ref: couples with children)
  
6/451
  
10/455
  
 Couples without children
1.50 (0.83–2.71)
0.178
15/131
3.05 (1.09–8.49)
0.033
4/120
1.01 (0.30–3.38)
0.990
 Single parent
2.48 (1.36–4.53)
0.003
8/166
4.68 (1.49–14.71)
0.008
7/165
2.24 (0.84–5.98)
0.108
 Single
1.03 (0.58–1.82)
0.924
8/177
1.18 (0.39–3.62)
0.768
9/178
1.32 (0.51–3.39)
0.564
 Othera
2.79 (0.65–11.97)
0.166
0/18
 
1/19
3.08 (0.38–24.84)
0.290
 Missing
0.36 (0.05–2.56)
0.309
7/139
3.10 (0.03–347.88)
0.638
4/136
0.17 (0.02–1.68)
0.128
Psychiatric disorders (ref: none/other disordersb)
  
14/535
  
13/534
  
 Schizophrenia
1.43 (0.90–2.30)
0.134
16/326
1.17 (0.53–2.58)
0.638
12/322
1.25 (0.55–2.83)*
0.600
 Mood disordersc
1.72 (1.03–2.85)
0.037
14/221
2.15 (0.93–4.99)
0.074
10/217
1.74 (0.73–4.13)*
0.211
Malignant neoplasms (ref: no)
  
20/1010
  
32/1022
  
 Yes
2.71 (1.69–4.33)
 < 0.001
24/72
5.40 (2.68–10.87)
 < 0.001
3/51
1.14 (0.32–4.02)
0.836
Neurological disorders (ref: no)
  
32/918
  
27/913
  
 Yes
1.09 (0.67–1.77)
0.741
12/164
1.55 (0.74–3.27)
0.248
8/160
1.34 (0.56–3.17)
0.510
Diabetes Mellitus (ref: no)
  
36/1013
  
31/1008
  
 Yes
1.69 (0.95–2.99)
0.072
8/69
3.14 (1.31–7.54)
0.011
4/65
1.48 (0.47–4.63)
0.504
Cardiovascular diseases (ref: no)
  
26/876
  
26/876
  
 Yes
0.85 (0.54–1.32)
0.460
18/206
0.85 (0.43–1.66)
0.635
9/197
0.70 (0.29–1.71)
0.439
Chronic obstructive pulmonary disease (ref: no)
  
35/1013
  
31/1009
  
 Yes
1.54 (0.89–2.69)
0.124
9/69
1.27 (0.53–3.05)
0.586
4/64
1.55 (0.51–4.75)*
0.444
Intracranial injury/Skull fracture (ref: no)
  
38/932
  
28/922
  
 Yes
1.67 (1.00–2.79)
0.050
6/150
0.58 (0.21–1.60)
0.291
7/151
1.50 (0.62–3.59)
0.365
Statistically significant results are marked in bold
Adj HR adjusted hazard ratios, CI confidence interval, P p-value, n/N number of deaths/Number of patients in the group
*Statistical test showed violation of proportional hazard for these factors. These results should be taken with caution
aOther: families with two or more nucleus or other relatives
bOther disorders: personality disorder, drug and alcohol dependence, anxiety disorder, adjustment disorder, dementia and other mental disorders due to organic condition
cMood disorders: bipolar disorder, depressive disorder

Cox regression models for natural- and unnatural-cause mortality

Age was a significant predictor of natural-cause mortality, with 8% increased risk for each year of increase in age (HR 1.08, 95%CI 1.05–1.12). Living in couples without children and single-parent family was associated with threefold (HR 3.05, 95%CI 1.09–8.49) and fourfold (HR 4.68, 95%CI 1.49–14.71) increased risk of mortality compared to couples with children, respectively. As regards chronic diseases, malignant neoplasms (HR 5.40, 95%CI 2.68–10.87) and diabetes mellitus (HR 3.14, 95%CI 1.31–7.54) were significant predictors of natural death (Table 3).
When looking at unnatural-cause mortality, males had twofold higher risk of death compared to females (HR 2.51, 95%CI 1.21–5.24). Age was associated with 3% increased risk of death for each year of increase in age (HR 1.03, 95%CI 1.00–1.06). All other variables did not reach statistical significance. In sensitivity analysis including marital status instead of family composition in the model, widowed patients had fivefold greater risk of death (HR 5.00, 95%CI 1.24–20.11) (data not shown).

Discussion

We conducted a cohort study by linking health and administrative data of the Piedmont Region following prospectively 1489 patients who were admitted to hospital or ED for suicide attempt between 2010 and 2020. To our knowledge, this is the first study to investigate risk factors for mortality in a cohort of hospitalized suicide attempters over 11-year span in Italy. Our study extends prior findings by adding new evidence from the South-European context. In this study, male gender, older age, high area deprivation index, single-parent family, comorbidity with mood disorders, malignant neoplasms and intracranial injury or skull fracture were predictors of all-cause death following the first hospital admission for attempted suicide. Older age, living in couples without children and single-parent family, being affected by malignant neoplasms and diabetes mellitus predicted natural-cause death, whereas gender and older age increased the risk of unnatural-cause death. The risk of death was highest during the first 12 months after suicide attempt, and remained elevated for many years afterwards.
The mean age at first episode of suicide attempt was in the range with previous studies [3, 17, 41, 42]. About one third of all suicide attempts occurred in adolescents and young adults, similarly to one fourth reported in a 9-year follow-up study in Belgium [43]. Consistently with prior studies, a greater proportion of younger females and older males attempted suicide [44, 45]. Our study also confirms earlier findings that psychiatric disorders and physical illnesses co-occur commonly in suicide attempters [3, 7, 21, 22, 24, 25, 28, 33, 3537, 4649].
During the observation period, 7.3% of subjects died, similar to previously observed 6.4% in Canadian and 8.7% in USA cohorts [9, 10], but lower than 12.1% reported in the Italian cohort by Pavarin and colleagues [16]. Although the risk for suicide and non-suicidal mortality persists for many years following the first episode, it is particularly pronounced shortly after the attempt episode [13, 6, 7, 1013, 16, 17, 20, 21, 50]. In our study, 45% of deaths occurred in the first 12 months: this result points out that the period following the attempt episode is the most critical, and suggests that integrated and intense prevention and care interventions should be implemented in this period.
In the adjusted regression model, several characteristics emerged as significant predictors of mortality following suicide attempt. It is already well established that male gender is a significant predictor of mortality, particularly for suicide, among suicide attempters [1, 47, 9, 16, 18, 20, 32, 33]. Consistently, also in our study, the survival time was significantly lower for males than females [1, 2, 4, 5, 33, 50]. This may be attributable to a higher tendency of males to use violent methods and their higher intention to die, a relevant risk factors for suicide particularly within the first months after the attempt [3, 57, 1315, 18, 31, 34, 37, 42, 51]. Moreover, males in our cohort had more alcohol and drug related problems than female suicide attempters, a behaviour that may contribute to violent causes of death [3, 4, 6, 7, 20, 42, 51]. This result is similar to that observed in the Finnish cohort by Suominen and colleagues [4]. Moreover, in our study, a greater proportion of males was diagnosed with intracranial injury or skull fracture, conditions that may act as a proxy of violent suicide methods and therefore be linked to a higher risk of death for unnatural causes.
In agreement with earlier studies, the risk of death increased with the increase of age at the time of suicide attempt [1, 57, 9, 16, 18, 20, 3133, 49], possibly due to higher prevalence of health problems in older patients [31, 35]. Indeed, in our study, the prevalence of physical and mental illnesses increased proportionally with increased age (data not shown). Moreover, with advanced age the proportion of widowed patients increases, which may result in loneliness and living alone, recognized risk factors for death in general population and in suicide attempters [6, 11, 20]. Indeed, the association of widowed condition with the risk of all-cause and unnatural-cause deaths was also observed in our study (data not shown).
Suicide attempters living in highly deprived areas were at 71% greater risk of mortality as compared to those living in less deprived areas, congruently with what observed elsewhere using income and education level as indicators of socioeconomic status [14, 32]. Patients of high deprived areas may be at higher risk of psychiatric disorders or physical illnesses, have limited access to social and medical resources, poor social support, bad diet habits, substance use related problems and poor skills to cope with adverse life situations compared to those of more advantaged areas. These characteristics may therefore exacerbate the negative outcomes of a frail condition as suicide attempt. Particular attention should be paid to patients of low socioeconomic level after suicide attempt.
The importance and mechanisms of family composition that may impact the effect of attempted suicide on mortality have been understudied. In our study, living in single-parent family was associated with an increased risk of all-cause and natural-cause mortality compared to living in couples with children. This is expected since, single parents may experience stressful life events, economic disadvantage, and social and psychological pressure to a greater extent than two-parent families. However, in a previous Finnish study, an increased risk of natural- and violent-cause mortality was observed among single-parent families of general population, but not among suicide attempters [11].
Accounting for all other variables included in the model, being affected by mood disorders was an independent risk factor for all-cause mortality, similarly to what observed in other studies [3, 7, 9, 13, 21, 33, 37]. However, although the direction of effect was consistent, the statistical significance was not reached when the impact on natural and unnatural deaths was tested separately, probably due to limited statistical power of the restricted sample. Moreover, due to violation of proportional hazard assumption, the results of the model assessing unnatural causes of death should be taken with caution. Nevertheless, these findings point out the need to apply particular attention in diagnosis of concurrent psychiatric disorders, and in prescribing effective treatment in order to prevent mortality risk.
As regards physical comorbidities, an increased risk of all-cause and natural-cause deaths was observed for patients suffering from malignant neoplasms and diabetes mellitus. Physical illnesses are significant predictors of death among suicide attempters [2, 5], especially in case of chronic and severe conditions. Moreover, it is recognised that suicidal patients with chronic conditions are more depressed [35], which may be associated with severe health outcomes. Finally, intracranial injury or skull fracture was also a significant predictor of all-cause mortality, a diagnosis that may be related to suicide attempt method itself, e.g. violent attempts could lead to serious traumatic injuries, and in these cases the risk of death can be higher.
This study has a number of strengths. The sample included all episodes of suicide attempts referred from hospitals and ED in the region, irrespective of the method used. Several information on the study subjects were collected from administrative and health registers ensuring richness of the data and investigation of both sociodemographic factors and comorbidities. Completeness of the mortality data was high. However, the study results should be considered also in a light of some limitations. The suicide attempts are potentially underestimated due to misclassified and underreported cases, i.e. those not accessing ED or hospital, and those registered with other diagnoses, e.g. accidents. So, the sample may not be fully representative of all suicide attempts in the regional catchment area but biased toward the most seriously affected cases. We did not have the information on cause-specific mortality for the whole timeline of the cohort, but only until 2018. Therefore, Cox regression models assessing natural and unnatural causes of death were run on restricted samples, possibly resulting in a loss of statistical power for some factors. Moreover, the comparison of results across studies may be challenging due to the ambiguous and inconsistent definition of suicide attempt sometimes including self-injurious acts with and without suicidal intent. Finally, the study would deserve a longer follow-up.
In conclusion, our results showed a risk of mortality particularly high within the first year after admission to hospital or ED for attempted suicide. Male gender, increased age, high area deprivation index, single-parent family, mood disorders, malignant neoplasm, diabetes mellitus and intracranial injury or skull fracture were important risk factors for mortality after suicide attempt. Focusing on these predictors can help to identify high-risk groups, inform clinicians on medical and psychiatric needs of suicidal patients, and plan outpatient care following hospital discharge. Our findings urge the need to design strategies for the assistance and care of these patients at long term in order to reduce the unfavourable outcomes.

Declarations

Conflict of interest

Giuseppe Maina is/has been a consultant and/or a speaker and/or has received research grants from Angelini, Boheringer Ingelheim, FB—Health, Janssen, Lundbeck, Otsuka, Innova Pharma. Gianluca Rosso is/has been a speaker and/or consultant from Angelini, Janssen, Lundbeck, Otsuka, Viatris. Other authors declare that they have no conflict of interest.

Ethical standards

Linkages among archives of sociodemographic and health data were performed using the anonymous identification code attributed to subjects in the framework of the Piedmont Longitudinal Study. The National Statistical Act legitimates the Piedmont Longitudinal Study to the use and linkage of data for scientific purposes without the need of an Ethical Committee approval.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metadaten
Titel
Risk factors for mortality after hospitalization for suicide attempt: results of 11-year follow-up study in Piedmont Region, Italy
verfasst von
Emina Mehanović
Gianluca Rosso
Gian Luca Cuomo
Roberto Diecidue
Giuseppe Maina
Giuseppe Costa
Federica Vigna-Taglianti
Publikationsdatum
08.08.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Social Psychiatry and Psychiatric Epidemiology / Ausgabe 6/2024
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-023-02544-7

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