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Table 1 Characteristics of 383 hospitalized patients during the 2017 dengue outbreak in New Caledonia and results of the univariate analysis

From: Development of a bedside score to predict dengue severity

Characteristics

Number (%)

Non severe cases (%)

n = 253

Severe cases (%)

n = 130

Odds ratio [CI 95%]

p value

Sex

 Men

174 (45.4%)

109 (43.1%)

65 (50%)

1.32 [0.86–2.02]

p = 0.23

 Women

209 (54.6%)

144 (56.9%)

65 (50%)

Reference

Age class

 < 10 years old

48 (12.4%)

39 (15.4%)

9 (6.9%)

0.77 [0.28–2.06]

p = 0.63

 [10–20]

69 (18.0%)

50 (19.8%)

19 (14.6%)

1.26 [0.55–2.98]

p = 0.68

 [20–30]

72 (18.8%)

43 (17%)

29 (22.3%)

2.22 [1.01–5.11]

p = 0.05

 [30–40]

52 (13.6%)

40 (15.8%)

12 (9.2%)

Reference

 [40–50]

42 (11.0%)

26 (10.3%)

16 (12.3%)

2.03 [0.83–5.11]

p = 0.17

 [50–60]

39 (10.2%)

24 (9.5%)

15 (11.5%)

2.06 [0.82–5.26]

p = 0.16

 [60–70]

24 (6.3%)

12 (4.7%)

12 (9.2%)

3.26 [1.16–9.44]

p = 0.03

 > 70

37 (9.7%)

19 (7.5%)

18 (13.8%)

3.10 [1.25–7.97]

p = 0.02

Self-declared ethnicity

 Melanesian

141 (36.7%)

92 (36.4%)

49 (37.7%)

1.30 [0.73–2.34]

p = 0.37

 European

86 (22.5%)

61 (24.1%)

25 (19.2%)

Reference

 Polynesian

68 (17.8%)

43 (17%)

25 (19.2%)

1.40 [0.71–2.81]

p = 0.39

 Métis /Other

63 (16.4%)

44 (17.3%)

19 (14.6%)

1.05 [0.51–2.15]

p = 1

 Not specified

25 (5.1%)

12 (9.2%)

5 (3.8%)

2.23 [0.88–5.66]

p = 0.09

Risky behavior

 Tobacco

105 (27.4%)

62 (24.5%)

43 (33.1%)

1.52 [0.95–2.42]

p = 0.09

 Cannabis

19 (4.9%)

12 (4.7%)

7 (5.4%)

1.15 [0.41–2.97]

p = 0.81

 Kavaa

15 (3.9%)

10 (3.9%)

5 (3.8%)

0.98 [0.29–2.89]

p = 1

 Alcohol (> 3 units/day)

9 (2.3%)

4 (1.6%)

5 (3.8%)

2.46 [0.62–10.56]

p = 0.17

Comorbidities

 Obesity

95 (24.8%)

52 (20.6%)

43 (33.1%)

1.91 [1.18–3.07]

p = 0.08

 Diabetes

34 (8.8%)

20 (7.9%)

14 (10.8%)

1.41 [0.67–2.89]

p = 0.35

 Dyslipidemia

27 (7.0%)

13 (5.1%)

14 (10.8%)

2.22 [1.0–4.97]

p = 0.06

 Hypertension

66 (17.2%)

31 (12.3%)

35 (26.9%)

2.63 [1.53–4.54]

p < 0.01

 Heart disease

21 (5.5%)

11 (4.3%)

10 (7.7%)

1.83 [0.74–4.51]

p = 0.23

 Lung diseases

31 (8.1%)

24 (9.5%)

7 (5.4%)

0.55 [0.21–1.26]

p = 0.23

 Renal failure

9 (2.3%)

4 (1.6%)

5 (3.8%)

2.46 [0.62–10.56]

p = 0.17

 Immunodepression

7 (1.8%)

5 (2%)

2 (1.5%)

0.81 [0.10–3.99]

p = 1

 Cancer

14 (3.7%)

8 (3.2%)

6 (4.6%)

1.49 [0.47–4.46]

p = 0.57

 Risk of bleedingb

9 (2.3%)

6 (2.4%)

3 (2.3%)

1.0 [0.20–3.97]

p = 1

Number of clinical problems

 No medical history

201 (52.5%)

142 (56.1%)

59 (45.4%)

Reference

 1

87 (22.7%)

59 (23.3%)

28 (21.5%)

1.04 [0.58–1.80]

p = 1

 2 or more

95 (24.8%)

52 (20.6%)

43 (33.1%)

2.12 [1.29–3.49]

p < 0.01

History of arbovirus infection

 Presence of dengue IgG

132 (34.5%)

68 (26.9%)

64 (49.2%)

2.93 [1.83–4.75]

p < 0.001

 Presence of Zika IgG

42 (11.0%)

25 (9.9%)

17 (13.1%)

1.30 [0.66–2.53]

p = 0.49

Treatment

 Paracetamol

300 (78.3%)

203 (80.2%)

97 (74.6%)

0.72 [0.44–1.20]

p = 0.24

 Corticosteroids

2 (0.5%)

0

2 (1.5%)

 NSAI

6 (1.6%)

4 (1.6%)

2 (1.5%)

1.00 [0.12–5.56]

p = 1

 Anticoagulants

9 (2.3%)

3 (1.2%)

6 (4.62%)

3.92 [0.98–19.96]

p = 0.07

 PAI

38 (9.9%)

19 (7.5%)

19 (14.6%)

2.10 [1.06–4.17]

p = 0.03

 Traditional medicine

71 (18.5%)

46 (18.2%)

25 (19.2%)

1.07 [0.62–1.83]

p = 0.89

Symptoms

 Fever

347 (90.6%)

231 (91.3%)

116 (89.2%)

0.79 [0.39–1.64]

p = 0.58

 Muscle soreness/myalgia

249 (65.0%)

161 (63.6%)

88 (67.7%)

1.20 [0.77–1.88]

p = 0.50

 Arthralgia

174 (45.4%)

110 (43.5%)

64 (49.2%)

1.26 [0.82–1.93]

p = 0.33

 Headaches

261 (68.1%)

175 (69.2%)

86 (66.2%)

0.87 [0.56–1.37]

p = 0.56

 Retro-orbital pain

98 (25.6%)

71 (28.1%)

27 (20.8%)

0.67 [0.40–1.11]

p = 0.14

 Diarrhea

129 (33.7%)

85 (33.6%)

44 (33.8%)

1.01 [0.64–1.58]

p = 1.0

 Nausea/vomiting

209 (54.6%)

135 (53.4%)

74 (56.9%)

1.15 [0.75–1.77]

p = 0.52

 Skin rash

130 (33.9%)

95 (37.5%)

35 (26.9%)

0.61 [0.38–0.97]

p = 0.041

 Conjunctival hyperemia

41 (10.7%)

33 (13.0%)

8 (6.2%)

0.44 [0.18–0.95]

p = 0.053

 Edema

18 (4.7%)

8 (3.2%)

10 (7.7%)

2.54 [0.96–6.90]

p = 0.071

 Gingivorrhagia

58 (15.1%)

33 (13.0%)

25 (19.2%)

1.59 [0.89–2.80]

p = 0.13

 Purpura

78 (20.4%)

47 (18.6%)

31 (23.8%)

1.37 [0.81–2.29]

p = 0.23

 Epistaxis

58 (15.1%)

34 (13.4%)

24 (18.5%)

1.46 [0.81–2.58]

p = 0.23

 Hematuria/blood in stools

19 (5.0%)

6 (2.4%)

13 (10%)

4.49 [1.71–13.30]

p < 0.01

Alert signs

 Abdominal pain

147 (38.4%)

88 (34.8%)

59 (45.4%)

1.56 [1.01–2.40]

p = 0.046

 Persistant vomiting

42 (11.0%)

28 (11.1%)

14 (10.7%)

0.97 [0.48–1.90]

p = 1.0

 Clinical liquid accumulation

28 (7.3%)

11 (4.3%)

17 (13.1%)

3.28 [1.50–7.50]

p < 0.01

 Mucosal bleeding

170 (44.4%)

83 (32.8%)

87 (66.9%)

4.12 [2.64–6.51]

p < 0.01

 Lethargy/anxiety

72 (18.8%)

46 (18.2%)

26 (20.0%)

1.13 [0.65–1.92]

p = 0.68

 Hepatomegaly

17 (4.4%)

9 (3.6%)

8 (6.2%)

1.78 [0.64–4.83]

p = 0.30

 Increase in Ht and platelet count drop

68 (17.8%)

37 (14.6%)

31 (23.8%)

1.83 [1.07–3.12]

p = 0.034

Biological parameters

 Normal platelet count

225 (58.7%)

175 (69.1%)

50 (38.4%)

Reference

 Platelets < 30 × 109/L

134 (35.0%)

59 (23.3%)

75 (57.7%)

4.42 [2.79–7.08]

p < 0.01

 GFR < 60 mL/min

42 (11.0%)

8 (3.1%)

34 (26.1%)

9.28 [4.22–22.90]

p < 0.01

 Normal AST

217 (56.7%)

157 (62%)

60 (46.1%)

Reference

 AST > 10 N

110 (28.7%)

51 (20%)

59 (45.4%)

3.01 [1.87–4.89]

p < 0.01

 Normal ALT

275 (71.8%)

198 (78.3%)

77 (59.2%)

Reference

 ALT > 10 N

51 (13.3%)

10 (3.9%)

41 (31.5%)

10.34 [5.10–22.94]

p < 0.01

  1. PAI Platelet aggregation inhibitor, NSAI Non-steroidal anti-inflammatory, GFR Glomerular filtration rate, AST Aspartate AminoTransferase, ALT Alanine AminoTransferase
  2. aKava: traditional beverage produced from poivrier roots, consumed throughout the cultures of Polynesia, Melanesia, and parts of Micronesia for its sedating and euphoriant effect
  3. bRisk of bleeding refers to comorbidities with previous risk of hemorrhage (menorrhagia, endometriosis, adenomyosis, gastric ulcer, immunological thrombopenic purpura)