Evidence map›Paper›PMID 40662738›Full record

ArticleAnnals of medicine2025

Role of cycle threshold values in predicting poor outcomes in patients with Kyasanur Forest disease: a retrospective cohort study.

Nitin Gupta, Praveen Kumar Tirlangi, Sudheesh N, Pothumarthy Venkata Swathi Kiran, Muralidhar Varma, Chiranjay Mukhopadhyay

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nitin GuptaDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-9687-2836
Praveen Kumar TirlangiDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Sudheesh NManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-3540-2865
Pothumarthy Venkata Swathi Kiran
Muralidhar VarmaDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Chiranjay MukhopadhyayManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0003-0402-1143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKyasanur Forest Disease (KFD) is a tick-borne viral haemorrhagic illness endemic to southern India. Early identification of patients at risk for poor outcomes remains a clinical challenge. The study aimed to evaluate the role of cycle threshold (Ct) values in predicting outcomes.

methodsWe conducted a retrospective cohort study of adults with PCR-confirmed KFD admitted to a tertiary care hospital in South India between January 2019 and December 2024. The primary outcome was 28-day all-cause mortality. Univariate and multivariable logistic regression analyses were performed to identify independent predictors of mortality. Receiver operating characteristic (ROC) analysis was used to assess the prognostic performance of Ct values.

resultsAmong 213 patients, 20 (9.4%) died. Mortality was independently associated with lower Ct values, older age, lower respiratory tract involvement, altered sensorium, and elevated white blood cell counts on multivariable analysis. ROC analysis yielded an area under the curve of 0.675 for Ct value alone. A Ct cut-off ≥27.75 predicted survival with 68.4% sensitivity and 70.0% specificity.

conclusionLower Ct values are independently associated with increased mortality in KFD and may serve as a pragmatic tool for early risk stratification, especially in resource-limited settings.

Indexed as

Kyasanur Forest DiseaseAdultAgedFemaleHumansIndiaMaleMiddle AgedPrognosisRetrospective StudiesROC CurveflavivirusKFDmonkey fever

Identifiers

PMID40662738
PMCPMC12265088

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