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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 PLoS+Negl+Trop+Dis
2018 ; 12
(3
): e0006319
Nephropedia Template TP
gab.com Text
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English Wikipedia
Thai-Lepto-on-admission probability (THAI-LEPTO) score as an early tool for
initial diagnosis of leptospirosis: Result from Thai-Lepto AKI study group
#MMPMID29554124
Sukmark T
; Lumlertgul N
; Peerapornratana S
; Khositrangsikun K
; Tungsanga K
; Sitprija V
; Srisawat N
PLoS Negl Trop Dis
2018[Mar]; 12
(3
): e0006319
PMID29554124
show ga
BACKGROUND: Leptospirosis is one of the most important zoonosis in the tropics.
Currently, specific laboratory diagnostic test for leptospirosis such as
polymerase chain reaction (PCR) or direct culture cannot be applied at the
primary care setting especially in the resource- limited countries. Therefore,
clinical presentation and laboratory examination are still the primary diagnostic
tools for leptospirosis. OBJECTIVES: To detect clinical factors for predicting
leptospirosis in suspected cases, and to create a clinical prediction score
(THAI-LEPTO) that is practical and easy to use in general practice while awaiting
laboratory results. MATERIALS AND METHODS: We performed a prospective multicenter
study with a development and a validation cohort of patients presenting with
clinical suspicion of leptospirosis as per the WHO clinical criteria. The
development cohort was conducted at 11 centers in 8 provinces around Thailand.
The validation cohort was conducted at 4 centers in 1 province from the
Northeastern part of Thailand. Leptospirosis confirmed cases were defined if any
one of the tests were positive: microscopic agglutination test, direct culture,
or PCR technique. Multivariable logistic regression was used to identify
predictors of leptospirosis. The clinical prediction score was derived from the
regression coefficients (original) or from the odds ratio values (simplified). We
used receiver operating characteristic (ROC) curve analysis to evaluate the
diagnostic ability of our score and to find the optimal cutoff values of the
score. We used a validation cohort to evaluate the accuracy of our methods.
RESULTS: In the development cohort, we enrolled 221 leptospirosis suspected cases
and analyzed 211. Among those, 105 (50%) were leptospirosis confirmed cases. In
logistic regression adjusted for age, gender, day of fever, and one clinical
factor at a time, leptospirosis group had more hypotension OR = 2.76 (95% CI
1.07-7.10), jaundice OR = 3.40 (95%CI 1.48-8.44), muscle pain OR = 2.12 (95%CI
1.06-4.26), acute kidney injury (AKI) OR = 2.90 (95%CI 1.31-6.15), low hemoglobin
OR = 3.48 (95%CI 1.72-7.04), and hypokalemia with hyponatremia OR = 3.56 (95%CI
1.17-10.84) than non-leptospirosis group. The abovementioned factors along with
neutrophilia and pulmonary opacity were used in the development of the score. The
simplified score with 7 variables was the summation of the odds ratio values as
follows: hypotension 3, jaundice 2, muscle pain 2, AKI 1.5, low hemoglobin 3,
hypokalemia with hyponatremia 3, and neutrophilia 1. The score showed the highest
discriminatory power with area under the curve (AUC) 0.82 (95%CI 0.67-0.97) on
fever day 3-4. In the validation cohort we enrolled 96 leptospirosis suspected
cases and analyzed 92. Of those, 69 (75%) were leptospirosis confirmed cases. The
performance of the simplified score with 7 variables at a cutoff of 4 was AUC
0.78 (95%CI 0.68-0.89); sensitivity 73.5; specificity 73.7; positive predictive
value 87.8; negative predictive value 58.3. CONCLUSIONS: THAI-LEPTO score is a
newly developed diagnostic tool for early presumptive diagnosis of leptospirosis
in patients presenting with severe clinical suspicion of the disease. The score
can easily be applied at the point of care while awaiting confirmatory laboratory
results. Each predictor used has been supported by evidence of clinical and
pathophysiological correlation.