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1.
Malar J ; 12: 209, 2013 Jun 19.
Article in English | MEDLINE | ID: mdl-23777546

ABSTRACT

BACKGROUND: Haemoglobin (Hb) recovers slowly in malaria and may be influenced by naturally acquired immunity. Hb recovery was compared in malaria immune, indigenous Papuan and non-Papuan adults with limited malaria exposure. METHODS: Hb concentrations were measured on Days (D) 0, 3, 7, and 28 in 57 Papuans and 105 non-Papuans treated with chloroquine, doxycycline or both drugs for acute, uncomplicated Plasmodium vivax (n = 64) or Plasmodium falciparum (n = 98). RESULTS: Mean (SD, range) D0 Hb was 12.7 (2.2, 7­21.3) g/dL and was similar in P. falciparum infected Papuans and non-Papuans: 12.2 vs. 12.8 g/dL (P = 0.15) but significantly lower in: (i) P. vivax-infected Papuans vs. P. vivax-infected non-Papuans: 11.4 vs. 13.47 g/dL [Δ = −2.07 (95% CI: ­3.3 ­ ­0.8), P = 0.0018], (ii) all patients with splenomegaly (vs. those without splenomegaly): 12.16 vs. 13.01 g/dL [Δ = −0.85 (−1.6­ ­0.085), P = 0.029], and (iii) all females vs. all males: 10.18 vs. 13.01 g/dL [Δ = −2.82 (−3.97 ­ ­1.67), P < 0.0001].Multiple regression identified female sex (P = 0.000), longer illness duration (P = 0.015) (P. falciparum patients) and Papuan ethnicity (P = 0.017) (P. vivax patients) as significant factors for a lower D0 Hb. Mean D28 Hb increased to 13.6 g/dL [Δ = 1.01 (0.5-1.5) vs. D0 Hb, P = 0.0001]. It was: (i) positively correlated with the D0 Hb (adjusted R2 = 0.24, P = 0.000), and was significantly lower in P. vivax infected Papuans vs. non-Papuans: 12.71 vs. 14.46 g/dL [Δ = −1.7 (−2.95­ ­0.5, P = 0.006). CONCLUSIONS: Haemoglobin recovery was related to baseline Hb. Vivax-infected malaria immune Papuans had persistently lower Hb concentrations compared to non-Papuans with limited malaria exposure. This haematological disadvantage remains unexplained.


Subject(s)
Anemia/pathology , Antimalarials/administration & dosage , Malaria, Falciparum/complications , Malaria, Falciparum/drug therapy , Malaria, Vivax/complications , Malaria, Vivax/drug therapy , Adolescent , Adult , Chloroquine/administration & dosage , Doxycycline/administration & dosage , Female , Hemoglobins/analysis , Humans , Indonesia , Male , Time Factors , Treatment Outcome , Young Adult
2.
Malar J ; 7: 259, 2008 Dec 18.
Article in English | MEDLINE | ID: mdl-19094197

ABSTRACT

BACKGROUND: There are limited data on the evolution of the leukocyte and platelet counts in malaria patients. METHODS: In a clinical trial of chloroquine vs. chloroquine plus doxycycline vs. doxycycline alone against Plasmodium vivax (n = 64) or Plasmodium falciparum (n = 98) malaria, the total white cell (WCC) and platelet (PLT) counts were measured on Days 0, 3, 7 and 28 in 57 indigenous Papuans with life long malaria exposure and 105 non Papuan immigrants from other parts of Indonesia with limited malaria exposure. RESULTS: The mean Day 0 WCC (n = 152) was 6.492 (range 2.1-13.4) x 10(9)/L and was significantly lower in the Papuans compared to the non Papuans: 5.77 x 10(9)/L vs. 6.86 x 10(9)/L, difference = -1.09 [(95% CI -0.42 to -1.79 x 10(9)/L), P = 0.0018]. 14 (9.2%) and 9 (5.9%) patients had leukopaenia (<4.0 x 10(9)/L) and leukocytosis (>10.0 x 10(9)/L), respectively. By Day 28, the mean WCC increased significantly (P = 0.0003) from 6.37 to 7.47 x 10(9)/L (73 paired values) and was similar between the two groups. Ethnicity was the only WCC explanatory factor and only on Day 0.The mean Day 0 platelet count (n = 151) was 113.0 (range 8.0-313.0) x 10(9)/L and rose significantly to 186.308 x 10(9)/L by Day 28 (P < 0.0001). There was a corresponding fall in patient proportions with thrombocytopaenia (<150 x 10(9)/L): 119/151 (78.81%) vs. 16/73 (21.92%, P < 0.00001). Papuan and non Papuan mean platelet counts were similar at all time points. Only malaria species on Day 0 was a significant platelet count explanatory factor. The mean D0 platelet counts were significantly lower (P = 0.025) in vivax (102.022 x 10(9)/L) vs. falciparum (122.125 x 10(9)/L) patients. CONCLUSION: Changes in leukocytes and platelets were consistent with other malaria studies. The Papuan non Papuan difference in the mean Day 0 WCC was small but might be related to the difference in malaria exposure.


Subject(s)
Leukocytosis , Leukopenia , Malaria, Falciparum/complications , Malaria, Vivax/complications , Thrombocytopenia , Adolescent , Adult , Animals , Emigrants and Immigrants , Female , Humans , Indonesia , Leukocyte Count , Malaria, Falciparum/pathology , Malaria, Vivax/pathology , Male , Platelet Count , Population Groups , Young Adult
3.
Am J Trop Med Hyg ; 66(6): 649-52, 2002 Jun.
Article in English | MEDLINE | ID: mdl-12224568

ABSTRACT

User-friendly, reliable, and inexpensive methods for diagnosing malaria are needed at the primary health care level. During a randomized treatment trial, the Parasight-F test was assessed on days 0, 3, 7, and 28 against standard light microscopy of Giemsa-stained thick blood smears for diagnosing Plasmodium falciparum parasitemia in patients with P. falciparum (n = 84) or P. vivax (n = 59) malaria. The median P. falciparum parasite count on day 0 was 2,373/microL (range = 20-74,432/microL). At the start of treatment, the Parasight-F test had a sensitivity of 95.2% (80 of 84; 95% confidence interval [CI] = 88.2-98.7), and a specificity of 94.9% (56 of 59; 95% CI = 85.8-98.9). On day 7, this test showed false-positive results in 17 (16.3%) of 104 patients (95% CI = 9.8-24.9). The Parasight-F test performed well when compared with light microscopy in detecting P. falciparum parasitemia in patients presenting with clinical malaria. However, the high false-positive rate on day 7 limits its use for patient follow-up.


Subject(s)
Malaria, Falciparum/diagnosis , Malaria, Vivax/diagnosis , Emigration and Immigration , Humans , Indonesia , Leukocyte Count , Malaria, Falciparum/transmission , Malaria, Vivax/transmission , Microscopy/methods , Parasitology/methods , Reagent Kits, Diagnostic , Reproducibility of Results , Sensitivity and Specificity
4.
Am J Trop Med Hyg ; 86(1): 46-51, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22232450

ABSTRACT

We conducted a prospective, inpatient fever study in malaria-endemic Papua, Indonesia to determine non-malaria fever etiologies. Investigations included malaria blood films, blood culture, paired serologic samples analysis for dengue, Japanese encephalitis, leptospirosis, scrub typhus, murine typhus, and spotted fever group rickettsia. During 1997-2000, 226 patients (127 males and 99 females) 1-80 years of age (median age = 25 years) were enrolled. Positive blood cultures (n = 34, 15%) were obtained for Salmonella Typhi (n = 13), Escherichia coli (n = 8), Streptococcus pneumoniae (n = 6), Staphylococcus aureus (n = 5), Streptococcus pyogenes (n = 1), and Klebsiella pneumoniae (n = 1). Twenty (8.8%) patients were positive for leptospirosis by polymerase chain reaction. Eighty (35.4%) of 226 patients had ≥ 1 positive serology, diagnostic for 15 rickettsial and 9 dengue cases. Acid-fast bacilli-positive sputum was obtained from three patients. Most common confirmed (81 of 226, 35.8%)/suspected diagnoses were typhoid fever (n = 41), pneumonia (n = 29), leptospirosis (n = 28), urinary tract infections (n = 20), rickettsioses (n = 19), dengue (n = 17), and meningitis/encephalitis (n = 15). There were 17 deaths, 7 (46.7%) were caused by meningitis/encephalitis. Multiple positive serologic results and few confirmed diagnoses indicate the need for improved diagnostics.


Subject(s)
Bacterial Infections/complications , Fever/epidemiology , Fever/etiology , Virus Diseases/complications , Acute Disease , Adolescent , Adult , Aged , Aged, 80 and over , Bacteremia/complications , Bacteremia/epidemiology , Bacteremia/microbiology , Bacteremia/mortality , Bacterial Infections/epidemiology , Bacterial Infections/microbiology , Bacterial Infections/mortality , Central Nervous System Infections/complications , Central Nervous System Infections/epidemiology , Central Nervous System Infections/etiology , Central Nervous System Infections/mortality , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , Papua New Guinea/epidemiology , Virus Diseases/epidemiology , Virus Diseases/mortality , Virus Diseases/virology , Young Adult
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