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Describe the diagnosis and prognosis of malaria among travelers
Distinguish characteristics of returning travelers with malaria in the current study
Analyze variables associated with a higher risk for severe malaria among returning travelers
Little is known about severe imported
Each year, a growing number of persons from industrialized countries travel to developing countries. Among these millions of travelers, 20% to 70% report some illness associated with their travel and ≈3% report fever (
Globally, epidemiologic and pathophysiologic research studies on malaria are mainly based on disease in children <5 years of age in areas where malaria is endemic. Little is known about severe imported malaria, which primarily affects nonimmune adults. Most previous studies that have focused on severe imported malaria have been case reports or have included <200 patients (
Imported malaria is not a mandatory notifiable disease in metropolitan (mainland) France. Data for this study were collected by a reporting network of 120 selected hospital laboratories and were analyzed by the French National Reference Center for Imported and Autochthonous Malaria Epidemiology (CNREPIA). Participants of the network were asked to report imported malaria cases whenever asexual forms of
The study population consisted of all
| Major criteria |
|---|
| Unrousable coma |
| Glasgow Coma Scale score of |
| Repeated generalized seizures |
| Circulatory collapse, systolic blood pressure <80 mmHg despite adequate volume repletion |
| Pulmonary edema with presence of criteria for acute respiratory distress syndrome or acute lung injury |
| Spontaneous bleeding and/or disseminated intravascular coagulation |
| Acidemia, pH <7.35, or acidosis, serum bicarbonate <15 mmol/L |
| Severe anemia, hemoglobin <5 g/dL |
| Renal impairment, serum creatinine >265 μmol/L |
| Hypoglycemia, blood glucose, <2.2 mmol/L |
| Macroscopic hemoglobinuria (if unequivocally related to
malaria) |
| Minor criteria |
| Impaired consciousness but rousable |
| Extreme weakness |
| Temperature >40°C |
| Parasitemia >5% |
| Jaundice or total bilrubin >50 μmol/L |
| Extreme weakness |
| Impaired consciousness, Glasgow Coma Scale score <9 |
| Pulmonary edema with presence of criteria for acute respiratory distress syndrome or acute lung injury |
| Repeated generalized seizures, >2 within 24 h |
| Circulatory collapse |
| Systolic blood pressure <80 mmHg despite adequate volume repletion |
| Spontaneous bleeding and/or disseminated intravascular coagulation |
| Jaundice or total bilirubin >50 μmol/L |
| Macroscopic hemoglobinuria (if unequivocally related to malaria) |
| Severe anemia |
| Hemoglobin ,<5 g/dL |
| Hypoglycemia, blood glucose <2.2 mmol/L |
| Acidemia, pH <7.35, or acidosis, serum bicarbonate <15 mmol/L |
| Hyperlactatemia, arterial lactate >5 mmol/L |
| Acute renal failure, urine output of <400 mL/24 h and serum creatinine >265 μmol/L |
| Parasitemia, |
In the 1990 WHO definition, only major criteria were used to define severe malaria. In the revised WHO definition in 2000, major and minor criteria were grouped together (except temperature criteria) to expand the definition of severe malaria. In addition, 2 criteria were changed: acute renal failure with urine output of <400 mL/24 h and serum creatinine >265 μmol/L and >2 generalized seizures within 24 h.
The case severity rate per 100 patients was calculated for all relevant exposure variables. Various exposure categories created for the first study (
Logistic regression was used to identify factors associated with severe malaria and to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between exposure variables and severe cases. Dummy variables were used for variables with >2 categories. Variables with p values <0.25 were introduced in the multivariate logistic regression model. A manual backward stepwise approach was used to remove nonsignificant variables; only variables with p values <0.05 were retained in the final model. Interactions were sought by introducing interaction terms in the logistic regression model and testing for their significance at the 0.05 level. Moreover, because our data ranged from 1996 through 2003 and we used 2 WHO definitions for severe disease (
During the 1996–2003 study period, 27,085 malaria cases were reported to CNREPIA. Of these, 21,888 cases were
| Year | No. (%) severe cases | Deaths | CFR for all cases, % | CFR for severe cases, % | |
|---|---|---|---|---|---|
| 1996 | 1,804 | 96 (5.3) | 8 | 0.4 | 8.3 |
| 1997 | 2,057 | 94 (4.5) | 10 | 0.5 | 11.0 |
| 1998 | 2,459 | 115 (4.7) | 9 | 0.3 | 7.8 |
| 1999 | 3,385 | 118 (3.5) | 9 | 0.2 | 7.6 |
| 2000† | 3,355 | 84 (2.5) | 12 | 0.3 | 14.3 |
| 2001 | 3,035 | 90 (3.0) | 13 | 0.4 | 14.4 |
| 2002 | 2,919 | 105 (3.6) | 15 | 0.5 | 14.3 |
| 2003 | 2,874 | 130 (4.5) | 20 | 0.7 | 15.3 |
| Total | 21,888 | 832 (3.8) | 96 | 0.4 | 11.3 |
*CFR, case-fatality rate.
†Year World Health Organization revised definition for
Most patients were male (sex ratio M:F = 1.7), and the median age was 29.6 (range 0–96) years. African travelers were most numerous (44.6%), followed by European travelers (26.5%), African residents (12.9%), and European expatriates living in Africa (5.4%); “others” represented 10.6%. Most patients (97.5%) became infected with malaria in Africa: 59.2% in western Africa, 26.2% in central Africa, 11.2% in Madagascar and the Comoros Islands, and 0.9% in eastern Africa (
| Country | P. falciparum malaria cases | No. (%) severe cases |
|---|---|---|
| Comoros | 2,017 | 28 (1.4) |
| Cameroon | 2,707 | 76 (2.8) |
| Congo | 885 | 25 (2.8) |
| Guinea | 823 | 24 (2.9) |
| Central African Republic | 728 | 25 (3.4) |
| Côte d’Ivoire | 4,623 | 160 (3.5) |
| Togo | 604 | 21 (3.5) |
| Ghana | 194 | 7 (3.6) |
| Benin | 1,012 | 39 (3.8) |
| Mali | 2,124 | 83 (3.9) |
| Gabon | 671 | 32 (4.8) |
| Senegal | 2,234 | 108 (4.8) |
| Mauritania | 96 | 5 (5.2) |
| Burkina Faso | 740 | 41 (5.5) |
| Madagascar | 432 | 34 (7.8) |
| Niger | 152 | 12 (7.9) |
| Tanzania | 38 | 4 (10.5) |
| Guinea-Bissau | 50 | 6 (12) |
| Nigeria | 123 | 15 (12.2) |
| Mozambique | 29 | 4 (13.8) |
| Kenya | 101 | 16 (15.8) |
| Equatorial Guinea | 31 | 5 16.1) |
| Djibouti | 12 | 2 (16.7) |
| Cape Verde | 4 | 1 (25) |
| Other | 1,458 | 59 (4.1) |
| Total | 21,888 | 832 (3.8) |
A total of 832 patients had severe malaria according to WHO definition (51% recorded before the revision in 2000). From 1996 through 2003, the evolution of the number of severe cases was the inverse of that of the total number of imported
Of the 832 patients who had severe malaria, 386 (46.4%) were European travelers, 98 (11.8%) European expatriates, 190 (22.8%) African travelers, 73 (8.8%) African residents, and 85 (10.2%) others. Sex ratio (M:F) was 2.3, and the median age was 38.2 years (range 0–92 years). Twenty-seven patients (3.2%) were >70 years of age, and 127 (15.3%) were <15 years of age. With a 15.3% CFR, eastern Africa accounted for the highest proportion of severe cases. Two-hundred-fourteen (27.9%) of these patients stated they had taken an appropriate chemoprophylaxis. Initial visit to a general practitioner instead of a hospital occurred for 351 (43.8%) patients. A total of 803 patients (98.5%) were hospitalized, 540 (66.2%) in an intensive care unit; the median hospitalization length was 6 days (range 0–169 days). The description of the 96 fatal cases has been reported elsewhere (
The CFR was 3.8% during the study period and changed over time (decrease from 1996 to 2000, then an increase since; p<0.0001 by standard χ2 test or trends test). Many factors were associated with an increased risk of severe malaria in univariate analysis, including older age, male gender, European origin, infection in East Africa, short stays (
However, short stays and male gender were no longer predictive of severity after controlling for all the variables, including year of diagnosis.
| Variables | Odds ratio (95% confidence interval) | p value |
|---|---|---|
| Age group, y | ||
|
| 1 | <0.0001 |
| 16–30 | 0.9 (0.7–1.2) | |
| 31–45 | 1.06 (0.8–1.3) | |
| 46–60 | 1.8 (1.4–2.3) | |
| >60 | 2.7 (2.0–3.6) | |
| Origin and residence | ||
| African travelers | 1 | <0.0001 |
| African residents | 1.5 (1.1–1.9) | |
| European travelers | 3.2 (2.6–3.8) | |
| European expatriates | 3.7 (2.9–4.9) | |
| Others | 1.9 (1.5–2.6) | |
| Region of malaria acquisition | ||
| Western Africa | 1 | <0.0001 |
| Central Africa | 0.8 (0.7–0.9) | |
| Eastern Africa | 2.6 (1.7–4.1) | |
| Austral Africa | 1.1 (0.6–2.2) | |
| Madagascar and Comoros Islands | 0.7 (0.5–0.9) | |
| Others | 0.9 (0.6–1.5) | |
| Chemoprophylaxis | ||
| Appropriate drugs† | 1 | 0.001 |
| No chemoprophylaxis | 1.3 (1.1–1.5) | |
| Inappropriate drugs‡ | 1.5 (1.2–1.9) | |
| Place of first visit | ||
| Hospital | 1 | |
| General practitioner | 1.4 (1.2–1.7) | <0.0001 |
| Time between onset and diagnosis, d | ||
|
| 1 | <0.0001 |
| 2–3 | 0.9 (0.8–1.2) | |
| 4–6 | 1.6 (1.3–1.9) | |
| 7–12 | 1.5 (1.1–1.8) | |
| >12 | 0.7 (0.5–0.9) | |
| Symptom onset | ||
| After return to France | 1 | |
| Before return to France | 1.2 (1.01–1.5) | 0.03 |
| Season of diagnosis | ||
| Spring–summer | 1 | |
| Fall–winter | 1.3 (1.2–1.5) | <0.0001 |
*N = 21,888. †Appropriate chemoprophylactic drugs were mefloquine, atovaquone-proguanil, doxycycline, and chloroquine-proguanil. ‡According to national recommendations, inappropriate chemoprophylactic drugs were chloroquine, proguanil, pyrimethamine, and sulfadoxine-pyrimethamine.
With a mean of >4,000 cases per year during the study period, France is the country reporting the highest number of imported malaria cases; >80% of cases are caused by
We identified 7 risk factors independently associated with severe imported
Genetic factors may also partly explain the relative protection of African travelers compared with Europeans, as noted by Lewis et al. (
As suggested by a preliminary study (
Management of patients who had uncomplicated malaria was not standardized among the different hospitals of our network. Depending on local procedures or on individual evaluations, patients were hospitalized, usually for the duration of their treatment, or were treated on an outpatient basis. Nevertheless, each patient with severe malaria needed to be hospitalized in an intensive care unit (exceptions to this rule depend on local medical practice). The odds of severe malaria developing were increased by 40% when the patient’s initial visit was to a general practitioner rather than to a hospital. This effect remained after controlling for time to diagnosis and suggests that this association was not due to a simple delay of diagnosis.
Time between onset of symptoms and diagnosis of 4–12 days was associated with an increased risk of severe malaria. Shorter delays of diagnosis enabled prompt treatment of malaria episodes and probably prevented their potential evolution towards severity. Diagnosis >12 days postsymptom onset usually reflected controlled parasitemia and uncomplicated malaria. These data emphasized once again the need for early diagnosis and prompt therapy. The higher severity found during the fall–winter season has been related previously to a potential mismanagement of malaria patients initially misdiagnosed with influenza (
This study has several limitations. Our surveillance network accounted for only 50%–55% of total malaria cases (uncomplicated, severe, or fatal) imported to France. Two annual exhaustive studies (National Quality Control Survey [
Biological data were not introduced in multivariate analysis, first, because of a large number of missing data (59% and 60% of missing data in severe cases for platelet counts and hemoglobinemia, respectively) and, second, because parasitemia (10% of missing data), hemoglobin, and platelet counts are directly or indirectly part of the definition of severe malaria. Thus, parasitemia, although strongly associated with severe forms of malaria in univariate analysis, was not introduced in the final multivariate model because it is in the causal pathway between several factors and disease. For instance, delay to diagnosis leads to high parasitemia, which itself leads to severe forms of malaria. Adjusting for high parasitemia in the final model would make the relationship between delay to diagnosis and severe malaria disappear.
Treatment of severe malaria may have varied according to the physicians. Detailed French guidelines for the management of severe
The clinical course of
Additional members of the French National Reference Center for Imported Malaria Study Group who contributed data are listed in the
We thank all staff, clinicians, and biologists at each French National Reference Center for Imported and Autochthonous Malaria Epidemiology and the French National Reference Center for Imported Malaria Network corresponding site.
Financial support for this study was provided by the French Ministry of Health (Direction Générale de la Santé).
| Factor | No. (%) severe cases | No. (%) patients | Odds ratio (95% confidence interval) | p value |
|---|---|---|---|---|
| Total | 832 (3.8) | 21,888 | NA | NA |
| No. of deaths | 96 | NA | NA | NA |
| Age group, y | ||||
| 127 (2.5) | 5,098 (23.3) | 1 | <0.0001 | |
| 16–30 | 177 (2.9) | 6,107 (27.9) | 1.2 (0.9–1.5) | |
| 31–45 | 207 (3.2) | 6,421 (29.3) | 1.3 (1.04–1.6) | |
| 46–60 | 229 (6.7) | 3,429 (15.7) | 2.8 (2.2–3.5) | |
| >60 | 92 (11.04) | 833 (3.8) | 4.8 (3.7–6.4) | |
| Sex | ||||
| Female | 251 (3.1) | 8,091 (37) | 1 | |
| Male | 579 (4.2) | 13,772 (63) | 1.2 (1.1–1.3) | <0.0001 |
| Unknown | 2 | 25 | NA | NA |
| Origin and residence | ||||
| African travelers | 190 (1.9) | 9,764 (44.6) | 1 | <0.0001 |
| African residents | 73 (2.6) | 2,814 (12.9) | 1.34 (1.02–1.80) | |
| European travelers | 386 (6.7) | 5,805 (26.5) | 3.60 (3.01–4.30) | |
| European expatriates | 98 (8.3) | 1,188 (5.4) | 4.5 (3.5–5.8) | |
| Others | 85 (3.7) | 2,317 (10.6) | 1.9 (1.5–2.5) | |
| Region of malaria acquisition | ||||
| Western Africa | 527 (4.1) | 12,941 (59.1) | 1 | <0.0001 |
| Central Africa | 182 (3.2) | 5,738 (26.2) | 0.8 (0.6–0.9) | |
| Eastern Africa | 27 (15.3) | 176 (0.8) | 4.3 (2.8–6.5) | |
| Austral Africa | 10 (6.1) | 165 (0.8) | 1.5 (0.8–2.9) | |
| Madagascar and Comoros Islands | 62(2.5) | 2,449 (11.2) | 0.6 (0.5–0.8) | |
| Others | 22 (5.4) | 410 (1.9) | 1.3 (0.9–2.1) | |
| Unknown | 2 | 9 | NA | |
| Duration of stay, d | ||||
| 0–21 | 220 (5.9) | 3,748 (26.1) | 1.5 (1.2–1.8) | <0.0001 |
| 22–32 | 115 (3.4) | 3,433 (23.9) | 0.8 (0.6–1.1) | |
| 33–62 | 110 (2.9) | 3,755 (26.1) | 0.7 (0.5–0.9) | |
| >62 | 138 (4.03) | 3,424 (23.8) | 1 | |
| Unknown | 249 (3.3) | 7,528 | NA | |
| Chemoprophylaxis | ||||
| Appropriate drugs† | 214 (3.6) | 5,935 (30.4) | 0.9 (0.7–1.1) | 0.2 |
| No chemoprophylaxis | 403 (4) | 10,097 (51.7) | 1 | |
| Inappropriate drugs‡ | 150 (4.3) | 3,490 (17.9) | 1.1 (0.9–1.3) | |
| Unknown | 65 | 2,366 | NA | |
| Season of diagnosis | ||||
| Spring–summer | 448 (3.1) | 14,327 (65.6.) | 1 | NA |
| Fall–winter | 379 (5.1) | 7,511 (34.4) | 1.5 (1.3–1.7) | <0.0001 |
| Unknown | 5 | 50 | NA | NA |
| Time lapse between return and onset, d | ||||
| –25 to 0 | 194 (4.2) | 4,569 (23.1) | 1 | 0.15 |
| 1–7 | 252 (3.7) | 6,863 (34.8) | 0.90 (0.70–1.04) | |
| 7–14 | 172 (3.9) | 4,415 (22.4) | 0.9 (0.7–1.1) | |
| 14–30 | 96 (4) | 2,397 (12.1) | 0.9 (0.7–1.2) | |
| >30 | 43 (2.9) | 1,490 (7.5) | 0.6 (0.5–0.9) | |
| Unknown | 75 (3.5) | 2,154 | NA | |
| Time between onset and diagnosis, d | ||||
| <3 | 367 (3.1) | 11,899 (58.4) | 1 | <0.0001 |
| 4–6 | 234 (5.7) | 4,082 (20.1) | 1.9 (1.6–2.3) | |
| 7–12 | 125 (5.2) | 2,401 (11.8) | 1.7 (1.4–2.1) | |
| >12 | 57 (2.9) | 1,974 (9.7) | 0.9 (0.7–1.2) | |
| Unknown | 49 | 1,532 | NA | |
| Time between return and diagnosis, d | ||||
| 0–5 | 221 (3.8) | 5,838 (27.8) | 1 | 0.09 |
| 6–10 | 172 (3.6) | 4,851 (23.1) | 0.9 (0.8–1.1) | |
| 11–15 | 179 (4.4) | 4,061 (19.4) | 1.2 (0.9–1.4) | |
| >15 | 217 (3.5) | 6,210 (29.6) | 0.9 (0.8–1.1) | |
| Unknown | 43 | 928 | NA | |
| Place of first medical visit | ||||
| Hospital | 450 (3.1) | 14,574 (69.5) | 1 | NA |
| General practitioner | 351 (5.5) | 6,420 (30.5) | 1.8 (1.5–2.1) | <0.0001 |
| Unknown | 31 | 894 | NA | NA |
| Parasitemia, % | ||||
|
| 156 (1.3) | 12,322 (67.9) | 1 | <0.0001 |
| 1.1–2 | 69 (3.2) | 2,146 (11.8) | 2.6 (1.9–3.4) | |
| 2.1–5 | 119 (5.3) | 2,249 (12.4) | 4.4 (3.4–5.6) | |
| 5.1–10 | 167 (19) | 880 (4.8) | 18.30 (14.50–23.01) | |
| >10.1 | 238 (43.6) | 546 (3) | 60.3 (47.8–75.9) | |
| Unknown | 83 | 3,745 | NA | |
| Hemoglobin, g/dL | ||||
| >12 | 125 (2.7) | 4,616 (49.6) | 1 | <0.0001 |
| 10.1–12 | 76 (2.8) | 2,727 (29.3) | 1.02 (0.70–1.40) | |
| 8.1–10 | 64 (4.6) | 1,377 (14.8) | 1.7 (1.3–2.4) | |
|
| 65 (10.9) | 591 (6.3) | 4.4 (3.2–6.1) | |
| Unknown | 502 | 12,577 | NA | |
| Platelet count, × 109/L | ||||
| >50 | 132 (1.6) | 8,176 (86.9) | 1 | <0.0001 |
| 26–50 | 88 (9.9) | 889 (9.5) | 6.7 (5.1–8.8) | |
| 11–25 | 96 (32.6) | 294 (3.1) | 29.6 (21.9–39.8) | |
|
| 24 (53.3) | 45 (0.5) | 69.6 (37.8–128.2) | |
| Unknown | 492 | 12,484 | NA | |
| Leukocyte count, × 109 cells/L | ||||
| 6–10 | 250 (2.9) | 8,418 (92.4) | 1 | <0.0001 |
| 10.1–15 | 37 (6.7) | 550 (6.1) | 2.3 (1.6–3.4) | |
| >15 | 25 (17.7) | 141 (1.5) | 7.1 (4.5–11.1) | |
| Unknown | 520 | 12,779 | NA | |
*N = 21,888. NA, not applicable. †Appropriate chemoprophylactic drugs were mefloquine, atovaquone-proguanil,doxycycline, and chloroquine-proguanil. ‡According to national recommendations, inappropriate chemoprophylactic drugs were chloroquine, proguanil, pyrimethamine, and sulfadoxine- pyrimethamine.
Dr Seringe works in the Department of Public Health at Pitie Salpetriere Hospital, Paris. Her research interests are the epidemiology of infectious diseases and vaccine-preventable diseases.
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Members of the National Reference Center Study Group for Imported Malaria in Metropolitan France.