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Table 1 Comparison of deprived and non-deprived patients at admission to the intensive care unit in the IVOIRE cohort (N = 1294)

From: Influence of deprivation on initial severity and prognosis of patients admitted to the ICU: the prospective, multicentre, observational IVOIRE cohort study

Variable

All (n = 1294)

Non-deprived (n = 665)

Deprived (n = 629)

p

Sociodemographic characteristics

    

 Age

66.17 ± 14.93

67.18 ± 13.95

65.10 ± 15.84

0.01

 Male gender

805 (62.2%)

425 (63.9%)

380 (60.4%)

0.195

 Level of educationa,c

   

< 0.0001

No educational diplomas/certificates

249 (19.7%)

95 (14.6%)

154 (25.0%)

 

Primary school certificate and/or some secondary school

363 (28.7%)

173 (26.6%)

190 (30.8%)

 

Professional certificate

358 (28.3%)

193 (29.7%)

165 (26.8%)

 

High school diploma or higher

296 (23.4%)

189 (29.1%)

107 (17.4%)

 

 Employment statusa,c

   

< 0.0001

Not working, unemployed or job-seeker, never worked

143 (11.2%)

48 (7.3%)

95 (15.3%)

 

Employed

190 (14.9%)

118 (18.0%)

72 (11.6%)

 

Retired

817 (64.1%)

456 (69.7%)

361 (58.1%)

 

Invalidity

125 (9.8%)

32 (4.9%)

93 (15.0%)

 

 Socioeconomic categorya,c

   

< 0.0001

Farmers

54 (4.2%)

34 (5.1%)

20 (3.2%)

 

Self-employed/own business

106 (8.2%)

59 (8.9%)

47 (7.5%)

 

Upper management and liberal professions

130 (10.1%)

95 (14.4%)

35 (5.6%)

 

Labourers

397 (30.9%)

165 (25.0%)

232 (37.1%)

 

Employees/intermediate professions

500 (38.9%)

273 (41.4%)

227 (36.3%)

 

No profession

69 (5.4%)

25 (3.8%)

44 (7.0%)

 

Did not wish to disclose

29 (2.3%)

9 (1.4%)

20 (3.2%)

 

Living arrangementsb

    

 Living alone

372 (28.8%)

105 (15.8%)

267 (42.4%)

< 0.0001

 Living with family members

871 (67.3%)

556 (83.6%)

315 (50.1%)

< 0.0001

 In assisted living, long-term care facility or nursing home

47 (3.6%)

2 (0.3%)

45 (7.1%)

< 0.0001

Social welfare coverageb

    

 Beneficiary of the basic French healthcare systemc

1234 (96.4%)

642 (97.9%)

592 (94.9%)

0.004

 Universal healthcare coveragec

46 (3.6%)

15 (2.3%)

31 (5.0%)

0.010

 Universal coverage + assistance with complementary health insurance + state medical aidc

47 (3.7%)

11 (1.7%)

36 (5.8%)

0.0001

 Complementary health insurancec

1102 (86.2%)

612 (93.3%)

490 (78.8%)

< 0.0001

Pre-existing conditions

    

 Alcohol consumption (≥ 2 glasses per day)c

399 (31.7%)

179 (27.5%)

220 (36.1%)

0.001

 Smoking statusc

   

< 0.0001

Non-smokers

474 (36.8%)

272 (41.0%)

202 (32.4%)

 

Current smokers

360 (28.0%)

144 (21.7%)

216 (34.7%)

 

Former smokers

453 (35.2%)

248 (37.3%)

205 (32.9%)

 

 Charlson comorbidity index mean ± SD

2.6 ± 2.5

2.4 ± 2.4

2.8 ± 2.6

0.007

 Katz ADL score < 3c

88 (6.9%)

30 (4.6%)

58 (9.3%)

0.0009

Healthcare utilization

    

 Chronic diseasec

839 (68.0%)

416 (64.8%)

423 (71.4%)

0.0123

 Home helpc

271 (21.4%)

121 (18.4%)

150 (24.5%)

0.009

 Difficulty paying for medication or examinationsc

90 (7.2%)

16 (2.5%)

74 (12.3%)

< 0.0001

 Time from home to nearest doctor ≥ 15 minc

303 (24.4%)

131 (20.3%)

172 (28.7%)

0.0006

Severity of illness at admission

    

 SOFAc mean ± SD

8.0 ± 4.0

8.2 ± 3.8

7.7 ± 4.2

0.018

 Indication for admission to ICUa,c

   

0.194

Cardiac

188 (15.3%)

104 (16.5%)

84 (14.0%)

 

Gastro-enterology

63 (5.1%)

37 (5.9%)

26 (4.3%)

 

Neurological

56 (4.6%)

26 (4.1%)

30 (5.0%)

 

Renal

40 (3.2%)

17 (2.7%)

23 (3.8%)

 

Respiratory

392 (31.8%)

187 (29.6%)

205 (34.1%)

 

Sepsis

325 (26.4%)

170 (26.9%)

155 (25.8%)

 

Trauma

72 (5.8%)

33 (5.2%)

39 (6.5%)

 

Other reasons

96 (7.8%)

57 (9.0%)

39 (6.5%)

 
  1. aPercentages may not total 100 because of rounding
  2. bPercentages may not total 100 because more than one answer was possible
  3. cMissing data: level of education(n = 28), employment status (n = 19), socioeconomic category (n = 9), basic healthcare coverage (n = 14), universal coverage (n = 29), universal coverage + assistance (n = 31), complementary insurance (n = 16), alcohol (n = 35), smoking (n = 7), Katz’s ADL score (n = 17), long-term disease (n = 60), home help (n = 25), difficulty paying for medication or examination (n = 48), time to nearest doctor (n = 51), SOFA(n = 8), indication for admission to ICU (n = 62)