We defined the positive predictive accuracy of a hospital-based clinical diagnosis of leptospirosis in 9 provinces across Thailand. Of 700 suspected cases, 143 (20%) were confirmed by laboratory testing. Accuracy of clinical diagnosis varied from 0% to 50% between the provinces and was highest during the rainy season. Most confirmed cases occurred in the north and northeast regions of the country.
Leptospirosis is an emerging infectious disease in Thailand (
Reporting of leptospirosis to the DDC in Thailand is voluntary. During a review of the national surveillance system for leptospirosis in 2 northeastern provinces, interviewed physicians said the national case definition was difficult to understand and apply (
From March 2003 though November 2004, admitting physicians in district and provincial hospitals within 9 provinces of Thailand in the north, northeast, central, and southern regions were invited to recruit patients of all ages suspected on clinical grounds to have leptospirosis. Clinical features considered were those specifically referred to in the national guidelines (e.g., fever, headache, muscle pain, meningism, conjunctival suffusion, and jaundice) together with hemoptysis, hepatomegaly, diarrhea, hypotension, and reduced urine output. From each patient, a 5-mL serum sample was taken to be cultured for
Microscopic agglutination test (MAT) was performed at the World Health Organization (WHO)/United Nations Food and Agriculture Organization (FAO)/World Animal Health Organisation (OIE) Collaborating Center for Reference and Research on Leptospirosis, Brisbane, Queensland, Australia (
A total of 700 patients with a clinical diagnosis of leptospirosis were recruited during the study period. All patients had blood samples collected at the hospital for leptospire culture and serologic testing; convalescent-phase serum samples were obtained during follow-up for 509 (73%) patients.
The median age of patients with suspected leptospirosis was 38 years (range 2–95 years, interquartile range (IQR) 28–49 years); 504 (72%) were men. The number of clinically diagnosed leptospirosis cases by month in the north, northeast, central, and southern regions is shown in
Cases of clinical leptospirosis by month for each geographic region, Thailand, March 2003–November 2004.
| Province | Geographic region | Clinically suspected cases (%)* | Laboratory- confirmed cases (%)† | Positive predictive accuracy (95% CI)‡ | Culture-positive cases |
|---|---|---|---|---|---|
| Lumpang | North | 161 (23) | 28 (20) | 17% (12–24) | 2 |
| Udon Thani | Northeast | 223 (32) | 64 (45) | 29% (23–35) | 10 |
| Maha Sarakham | Northeast | 181 (26) | 26 (18) | 14% (10–20) | 1 |
| Ya Sothon | Northeast | 32 (5) | 6 (4) | 19% (7–36) | 1 |
| Chainut | Central | 13 (2) | 3 (2) | 23% (5–54) | 0 |
| Rayong | Central | 45 (6) | 13 (9) | 29% (16–44) | 1 |
| Chanthaburi | Central | 4 (0.6) | 2 (1) | 50% (7–93) | 0 |
| Prachuap Khiri Khun | South | 33 (5) | 1 (0.7) | 3% (0.1–16) | 0 |
| Phattalung | South | 8 (1) | 0 | 0% (0–37) | 0 |
| Total | 700 | 143 | 20% | 15 |
Of the 700 patients who received a clinical diagnosis of leptospirosis, 143 (20%) received a confirmed diagnosis of leptospirosis based on
The geographic distribution of the 143 laboratory-confirmed cases is summarized in the Table. Most of these patients (124, 87%) lived in the 4 provinces found in the north and the northeast (
Cases of laboratory confirmed leptospirosis and positive predictive accuracy of clinical diagnosis by month, Thailand, March 2003–November 2004.
The positive predictive accuracy of a clinical diagnosis is defined by the number of laboratory-confirmed cases divided by the number of clinically suspected cases. Results for each of the 9 provinces are shown in the Table. When only data from centers that reported at least 10 cases were used, positive predictive accuracy ranged from 3% to 29%. Positive predictive accuracy by month of study is shown in
Diagnosing leptospirosis at the point of care is notoriously difficult in the tropical setting, where several common infectious diseases are often hard to differentiate. Positive predictive accuracy for leptospirosis was highest during the rainy season, an observation that is likely related to the higher disease incidence and pretest probability. Variability in positive predictive accuracy was seen among the 3 provinces with the highest number of both suspected and true cases. The reason for this is unclear but may relate to perceived risk to the community, local policy, or other factors.
The finding that both clinical and confirmed cases of leptospirosis were more common in the north and northeast is consistent with DDC reports. Increased incidence in this region may have resulted from
The effect of the low level of accuracy of hospital-based clinical diagnosis of leptospirosis in rural Thailand is not known. A common disease in this setting that is easily confused with leptospirosis is scrub typhus; both diseases would be predicted to respond to doxycycline, an antimicrobial drug often prescribed for undifferentiated fever. Further studies are required to define the implications of our findings and determine whether routine laboratory testing for leptospirosis should be implemented in Thailand.
We thank Oranard Wattanawong, Pornpitak Panlar, and all staff of the Department of Disease Control, Ministry of Public Health, and district and provincial hospitals in the 9 provinces included in this study. We thank Premjit Amornchai and Sayan Langla for technical assistance.
S.J.P. is supported by a Wellcome Trust Career Development Award in Clinical Tropical Medicine. This work was funded by Department of Disease Control, Ministry of Public Health, and The Wellcome Trust.
Mrs Wuthiekanun is a senior microbiologist at the Wellcome Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. Her research interests focus on the diagnosis of leptospirosis and melioidosis.