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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