Evidence map›Paper›PMID 32029982›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Restructuring the Modified Faine's Criteria for the Diagnosis of Leptospirosis in Monsoon: A Study from South Gujarat.

U C Samudyatha, Vipul Chaudhari, Naresh Chauhan, Rahul Damor, J K Kosambiya, Rikita Munshi

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Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

U C SamudyathaDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.
Vipul ChaudhariDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.
Naresh ChauhanDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.
Rahul DamorDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.
J K KosambiyaDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.
Rikita MunshiDepartment of Community Medicine, Government Medical College, Surat, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextClinical and epidemiological variables in the modified Faine's criteria offered low validity in our study setting.

aimsRestructuring and validating modified Faine's criteria for leptospirosis to better suit health scenario of south Gujarat. SUBJECTS AND

methodsClinical, epidemiological, and laboratory features of derivation cohort (1216 suspected leptospirosis cases) admitted at a tertiary care hospital of south Gujarat (2007-2015) that significantly correlated with confirmed leptospirosis were used in binary logistic regression to derive scoring models and receiver operating characteristic to determine cutoff values. Validity and net reclassification improvement (NRI) were estimated in validation cohort (82 cases, 2016-2017) and algorithm for diagnosis was prepared.

resultsScreening model consisted of the presence of conjunctival suffusion, calf tenderness, raised serum creatinine, headache with conjunctival suffusion and/or jaundice, and dyspnea/meningism. Area under curve (AUC) for screening model was 0.590 (standard error [SE] ±0.017) and cutoff score ≥9 gave sensitivity 79.16%, specificity 50%. The confirmatory model consisted of laboratory parameters, namely polymerase chain reaction, immunoglobulin M ELISA, and microscopic agglutination test and gave AUC 0.998 (SE ± 0.001), sensitivity 89.58%, specificity 85.29%, positive predictive value 89.58%, and negative predictive value 85.29% at cutoff score ≥100. Net sensitivity of algorithm was 98.27% at the point of screening (screening model and rapid test) and net specificity 87.89% at the point of confirmation (screening followed by confirmatory model) in validation cohort.

conclusionsSimultaneous use of screening model and rapid test gave NRI 81.25% and sequential use of confirmatory test gave NRI 47.18% compared to corresponding parts of the modified Faine's criteria.

Indexed as

Microscopic agglutination testmodified Faine's criterianet reclassification improvementpolymerase chain reaction

Identifiers

PMID32029982
PMCPMC6985959

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