| Literature DB >> 24748368 |
Mayfong Mayxay, Josée Castonguay-Vanier, Vilada Chansamouth, Audrey Dubot-Pérès, Daniel H Paris, Rattanaphone Phetsouvanh, Jarasporn Tangkhabuanbutra, Phouvieng Douangdala, Saythong Inthalath, Phoutthalavanh Souvannasing, Günther Slesak, Narongchai Tongyoo, Anisone Chanthongthip, Phonepasith Panyanouvong, Bountoy Sibounheuang, Koukeo Phommasone, Michael Dohnt, Darouny Phonekeo, Bouasy Hongvanthong, Sinakhone Xayadeth, Pakapak Ketmayoon, Stuart D Blacksell, Catrin E Moore, Scott B Craig, Mary-Anne Burns, Frank von Sonnenburg, Andrew Corwin, Xavier de Lamballerie, Iveth J González, Eva Maria Christophel, Amy Cawthorne, David Bell, Paul N Newton.
Abstract
BACKGROUND: Because of reductions in the incidence of Plasmodium falciparum malaria in Laos, identification of the causes of fever in people without malaria, and discussion of the best empirical treatment options, are urgently needed. We aimed to identify the causes of non-malarial acute fever in patients in rural Laos.Entities:
Mesh:
Year: 2013 PMID: 24748368 PMCID: PMC3986032 DOI: 10.1016/S2214-109X(13)70008-1
Source DB: PubMed Journal: Lancet Glob Health ISSN: 2214-109X Impact factor: 26.763
Figure 1Map of Laos showing location of Vientiane and the study sites in Luang Namtha and Salavan provinces
Overall conservative diagnoses of enrolled patients, with use of only culture, antigen, and nucleic acid assays, plus IgM against Japanese encephalitis virus for patients in whom only one pathogen was detected
| With diagnosis | 799/1938 (41%) | 552/1390 (40%) | 247/548 (45%) | 0·03 | |
| Single pathogens | |||||
| Any single pathogen | 698/1938 (36%) | 473/1390 (34%) | 225/548 (41%) | 0·004 | |
| Dengue (PCR or dengue virus-NS1, or both) | 156/1927 (8%) | 41/1382 (3%) | 115/545 (21%) | <0·0001 | |
| Scrub typhus (PCR or culture, or both) | 122/1871 (7%) | 86/1337 (6%) | 36/534 (7%) | 0·8 | |
| Influenza (PCR) | 115/358 (32%) | 115/358 (32%) | .. | .. | |
| Japanese encephalitis virus (ELISA) | 112/1924 (6%) | 90/1383 (7%) | 22/541 (4%) | 0·04 | |
| Leptospirosis (PCR, culture, or MAT | 109/1934 (6%) | 93/1389 (7%) | 16/545 (3%) | 0·001 | |
| Bacteraemia (culture) | 43/1938 (2%) | 30/1390 (2%) | 13/548 (2%) | 0·77 | |
| Malaria (RDT, or smear or PCR, or both) | 22/1936 (1%) | 4/1308 (<1%) | 18/528 (3%) | <0·0001 | |
| Murine typhus (PCR) | 10/1849 (<1%) | 6/1320 (<1%) | 4/529 (<1%) | 0·49 | |
| Undetermined | 9/1849 (<1%) | 8/1320 (<1%) | 1/529 (<1%) | 0·46 | |
| Evidence for several pathogens (mixed infections | |||||
| More than one pathogen | 101/1938 (5%) | 79/1390 (6%) | 22/548 (4%) | 0·14 | |
| Two pathogens | 98/1938 (5%) | 77/1390 (6%) | 21/548 (4%) | 0·12 | |
| Three pathogens | 3/1938 (<1%) | 2/1390 (<1%) | 1/548 (<1%) | 1·0 | |
Data are n/N (%). Differences in data between this table and the text arise when patients with more than one apparent infection are included. Influenza diagnosis was only done for samples collected from Luang Namtha for 6 months. Comparisons are for unadjusted data.·MAT=microscopic agglutination test. RDT=rapid diagnostic test.
With a four-fold rise in titre.
See appendix for more information.
Figure 2Diagnoses for patients (N=799) at both study sites, with use of only culture, antigen, and nucleic acid detection assays (conservative definition)
See table 1 for more information. Influenza diagnosis was only done on samples collected from Luang Namtha for 6 months. JEV=Japanese encephalitis virus.
Blood culture results
| No growth | 1777/1938 (92%) | 1302/1390 (94%) | 475/548 (87%) | 866/960 (90%) | |
| Positive growth | 161/1938 (8%) | 88/1390 (6%) | 73/548 (13%) | 94/960 (10%) | |
| Contaminants | 106/161 (66%) | 51/88 (58%) | 55/73 (75%) | .. | |
| Uncertain clinical significance ( | 2/161 (1%) | 1/88 (1%) | 1/73 (1%) | .. | |
| Clinically significant organisms | 53/161 (33%) | 36/88 (41%) | 17/73 (23%) | 38/40 (95%) | |
| 38/53 (72%) | 30/36 (83%) | 8/17 (47%) | ·· | ||
| 4/53 (8%) | 2/36 (6%) | 2/17 (12%) | ·· | ||
| 3/53 (6%) | 0/36 | 3/17 (18%) | ·· | ||
| 2/53 (4%) | 1/36 (3%) | 1/17 (6%) | ·· | ||
| 2/53 (4%) | 1/36 (3%) | 1/17 (6%) | ·· | ||
| 1/53 (2%) | 0/36 | 1/17 (6%) | ·· | ||
| 1/53 (2%) | 0/36 | 1/17 (6%) | ·· | ||
| 1/53 (2%) | 1/36 (3%) | 0/17 | ·· | ||
| 1/53 (2%) | 1/36 (3%) | 0/17 | ·· | ||
Data are n/N (%), unless otherwise indicated.
Two organisms, Leuconostoc sp and Achromobacter xylosoxidans were probable contaminants, but because they are very rare causes of bacteraemia, we have classified them as of uncertain clinical significance
Multivariable logistic regression analysis of predictors significantly associated with detection of pathogens for patients with only evidence for one pathogen with conservative diagnoses
| Retro-orbital pain | Yes | 2·1 (1·1–3·9) | 0·018 |
| Cough | Yes | 4·1 (2·6–6·7) | <0·0001 |
| Acute encephalitis syndrome | Yes | 5·6 (1·8–17·5) | 0·003 |
| Glasgow coma scale | <15/15 | 4 (1·1–13·9) | 0·03 |
| Province | Salavan | 9·9 (4·8–20·2) | <0·0001 |
| Platelets | ≤100 000/μL | 4·0 (1·4–11·5) | 0·01 |
| Arthralgia | Yes | 0·4 (0·2–0·9) | 0·03 |
| Abdominal pain | Yes | 2·4 (1·1–5·2) | 0·03 |
| Hepatomegaly | Yes | 3·6 (1·2–10·4) | 0·02 |
| Province | Luang Namtha | 1·9 (1·0–3·5) | 0·04 |
| Age (years) | ≤15 | 2·2 (1·3–3·6) | 0·002 |
| Vomiting | Yes | 2·2 (1·3–3·6) | 0·003 |
| Cough | Yes | 0·2 (0·1–0·5) | <0·0001 |
| C-reactive protein | >5 mg/L | 5·3 (1·6–17·2) | 0·005 |
| Sex | Female | 1·8 (1·1–2·8) | 0·01 |
| Hepatomegaly | Yes | 3·4 (1·6–7·2) | 0·001 |
See appendix for more information. Influenza diagnosis was only done for samples collected from Luang Namtha for 6 months.
Figure 3Monthly incidence of diseases, with conservative definitions, for patients from Luang Namtha and Salavan combined
Influenza diagnosis was only done on samples collected from Luang Namtha for 6 months. JEV=Japanese encephalitis virus.
Number of patients expected to respond to empirical treatment
| All (N=1938) | 293 (15%) | 240 (12%) | 41 (2%) | 258 (13%) | 154 (8%) |
| Luang Namtha (n=1390) | 223 (16%) | 184 (13%) | 29 (2%) | 198 (14%) | 125 (9%) |
| Salavan (n=548) | 70 (13%) | 56 (10%) | 12 (2%) | 60 (11%) | 29 (5%) |
Data are n (%), unless otherwise indicated. Data are for patients with only one pathogen detected. On the basis of assumption of the responses provided in the appendix. The few patients without assays for particular pathogens in appendix p 55 have been excluded. Calculated as the number of patients with each diagnosis multiplied by percentage expected response.