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Table 4 Serology associated with malaria and bacteraemia

From: Acute undifferentiated fever in India: a multicentre study of aetiology and diagnostic accuracy

Serology

N

Malaria PCR (n = 1412)

Malaria PCR + microscopy (N = 984)

Bacteraemia (N = 1161)

 

Positive N = 268

N (%)

Negative N = 1144

N (%)

P

Positive N = 66

Negative N = 918

P

Positive N = 124

Negativei N = 1037

P

Dengue

 Positivea

244

58/258 (22)

170/1118 (15)

0.005

13/65 (20)

120/908 (13)

0.124

13/124 (10)

197/1021 (19)

0.017

 Negativeb

1243

200/258 (78)

948/1118 (85)

 

52/65 (80)

788/908 (87)

 

111/124 (90)

824/1021 (81)

 

Leptospirosis

 Positivec

116

24/248 (10)

85/1061 (8)

0.393

7/60 (12)

72/853 (8)

0.390

14/118 (12)

57/985 (6)

0.011

 Negatived

1303

224/248 (90)

976/1061 (92)

 

53/60 (88)

781/853(92)

 

104/118 (88)

928/985 (94)

 

Scrub typhus

 Positivee

159

27/250 (11)

119/1078 (11)

0.913

10/63 (16)

104/872 (12)

0.355

10/118 (8)

76/989 (8)

0.762

 Negativef

1281

223/250 (89)

959/1078 (89)

 

53/63 (84)

768/872 (88)

 

108/118 (92)

913/989 (92)

 

Chikungunya

 Positiveg

98

20/261 (8)

70/1117 (6)

0.411

5/64 (8)

57/904 (6)

0.634

7/123 (6)

82/1020 (8)

0.359

 Negativeh

1389

241/261(92)

1047/1117(94)

 

59/64 (92)

847/904 (94)

 

116/123(94)

938/1020 (92)

 
  1. Data are given as numbers and percentages of tests among total tested with both methods. Discrepancies in numbers are due to missing values. Chi-Square test used for comparison of proportions
  2. aPositive MAC ELISA and/or RDT. bNegative MAC ELISA/RDT. cPositive ELISA and MAT. dNegative ELISA and positive ELISA/negative MAT. ePositive ELISA and IFA. fNegative ELISA and positive ELISA/negative IFA. gPositive ELISA. hNegative ELISA iIncluding 40 samples with contaminants