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Table 1 Sociodemographic and clinical variables of the followed cohort (n = 797) stratified for outcomes of the study

From: Sequelae, persistent symptomatology and outcomes after COVID-19 hospitalization: the ANCOHVID multicentre 6-month follow-up study

Variable

Total sample followed

(n = 797)

Return to Emergency Services

(n = 160)

Readmission to hospital

(n = 35)

Death after discharge

(n = 8)

N (%), x (s)

N (%), x (s)

N (%), x (s)

N (%), x (s)

Men

428 (53.7)

85 (53.1)

15 (42.9)

3 (37.5)

Age: x (s)

63.0 (14.4)

61.7 (15.3)

67.5 (16.9)

82.1 (4.2)

Age categories

 <40 years

45 (5.6)

11 (6.9)

2 (5.7)

0 (0)

 40–50 years

93 (11.7)

20 (12.5)

0 (0)

0 (0)

 50–60 years

181 (22.7)

39 (24.4)

8 (22.9)

0 (0)

 60–70 years

206 (25.8)

43 (26.9)

10 (28.6)

0 (0)

 70–80 years

164 (20.6)

25 (15.6)

6 (17.1)

2 (25.0)

 80–90 years

95 (11.9)

16 (10.0)

5 (14.3)

6 (75.0)

 >90 years

13 (1.6)

6 (3.8)

4 (11.4)

0 (0)

Setting

 Granada

361 (45.3)

75 (46.9)

18 (51.4)

4 (50.0)

 Córdoba

186 (23.3)

40 (25.0)

6 (17.1)

1 (12.5)

 Cádiz

27 (3.4)

5 (3.1)

0 (0)

0 (0)

 Jaén

223 (28.0)

40 (25.0)

11 (31.4)

3 (37.5)

Any comorbidity

538 (67.5)

104 (65.0)

23 (65.7)

7 (87.5)

Hypertension

409 (51.3)

77 (48.1)

18 (51.4)

6 (75.0)

Diabetes mellitus

166 (20.8)

35 (21.9)

7 (20.0)

1 (12.5)

Cardiovascular disease

164 (20.6)

40 (25.0)

13 (37.1)

3 (37.5)

Pneumopathy

107 (13.4)

22 (13.8)

3 (8.6)

2 (25.0)

COPD

40 (5.0)

7 (4.4)

1 (2.9)

1 (12.5)

Asthma

59 (7.4)

11 (6.9)

1 (2.9)

0 (0)

Chronic kidney disease

69 (8.7)

14 (8.8)

5 (14.3)

3 (37.5)

Autoimmune disease

61 (7.7)

17 (10.6)

2 (5.7)

1 (12.5)

Immunosuppression

36 (4.5)

10 (6.3)

2 (5.7)

0 (0)

Active neoplasm

32 (4.0)

6 (3.8)

1 (2.9)

1 (12.5)

Polymedicationa

295 (37.0)

68 (42.5)

20 (57.1)

6 (75.0)

Dependence

120 (15.1)

29 (18.1)

14 (40.0)

5 (62.5)

Living at home

712 (89.3)

138 (86.3)

24 (68.7)

5 (62.5)

Hospitalization days x (s)

15.0 (13.5)

16.6 (13.8)

22.3 (20.0)

19.4 (12.3)

Ferritin at admission x (s)

685.0 (952.2)

537.1 (546.5)

378.8 (308.5)

372.8 (502.9)

Unknown

108 (13.6)

23 (14.4)

4 (11.4)

1 (12.5)

Abnormal TR at admission

667 (83.7)

128 (80.0)

23 (65.7)

7 (87.5)

Unknown

36 (4.5)

8 (5.0)

3 (8.6)

0 (0)

CRS

298 (37.4)

55 (34.4)

11 (31.4)

2 (25.0)

Unknown

62 (7.8)

13 (8.1)

3 (8.6)

0 (0)

Concomitant infectionb

111 (13.9)

29 (18.1)

9 (25.7)

1 (12.5)

CURB-65

 0

221 (27.7)

45 (28.1)

4 (11.4)

0 (0)

 1

241 (30.2)

44 (27.5)

9 (25.7)

1 (12.5)

 2

130 (16.3)

28 (17.5)

10 (28.6)

5 (62.5)

 3

21 (2.6)

6 (3.8)

1 (2.9)

0 (0)

 4

2 (0.3)

0 (0)

0 (0)

0 (0)

Unknown

182 (22.8)

37 (23.1)

11 (31.4)

2 (25.0)

Not candidate for CPR

138 (17.3)

31 (19.4)

11 (31.4)

5 (62.5)

Unknown

221 (27.7)

37 (23.1)

11 (31.4)

2 (25.0)

Hydroxychloroquine

704 (88.3)

137 (85.6)

26 (74.3)

5 (62.5)

Lopinavir/ritonavir

488 (61.2)

94 (58.8)

21 (60.0)

1 (12.5)

Azithromycin

603 (65.7)

117 (73.1)

24 (68.6)

4 (50.0)

Corticosteroid boluses

285 (35.8)

60 (37.5)

11 (31.4)

3 (37.5)

Tocilizumab

82 (10.3)

18 (11.3)

6 (17.1)

1 (12.5)

Antibiotics

477 (59.8)

99 (61.9)

21 (60.0)

3 (37.5)

ACEI/ARA-II

221 (27.7)

43 (26.9)

12 (34.3)

4 (50.0)

ICU admission

81 (10.8)

16 (10.0)

3 (8.6)

0 (0)

Total

797 (100)

160 (20.1)

35 (4.4)

8 (1.0)

  1. ACEI/ARA-II angiotensin-converting enzyme inhibitor/angiotensin II receptor antagonists, COPD chronic obstructive pulmonary disease, CRS cytokine release syndrome, CURB-65 prognostic score based on confusion, blood urea, respiratory rate, blood pressure and age, ICU intensive care unit, TR thorax radiography. Missing values are presented as “unknown”. Data are presented as mean (x) and standard deviation (s) for quantitative variables and absolute frequency (n) and relative frequency (%) for qualitative variables. aPolymedication was considered when the patient was prescribed 6 or more drugs prior to hospitalization. bConcomitant infection was considered when, during hospitalization, other infectious diseases different from COVID-19 was identified