Evidence map›Paper›PMID 41507966›Full record

ArticleItalian journal of pediatrics2026

Risk prediction of encephalitis in hand, foot and mouth disease: a nomogram model based on platelet indices for resource-limited settings.

Fang-Fang Cheng, Kun Wang, Meng-Lu Cao, Zhao-Fang Hui, Wen-Xin Shi, Wen-Hua Yan, Jian-Mei Tian, Shi-Hong Zhan

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Article in Italian journal of pediatrics, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fang-Fang Cheng *Infectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China.
Kun Wang *Infectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China.
Meng-Lu CaoInfectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China.
Zhao-Fang HuiInfectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China.
Wen-Xin ShiInfectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China.
Wen-Hua YanCardiovascular Department, Children's Hospital of Soochow University, Suzhou, China.
Jian-Mei TianInfectious Diseases Department, Children's Hospital of Soochow University, Suzhou, China. jian_meitian@163.com.
Shi-Hong ZhanNeonatal Department, Children's Hospital of Soochow University, Suzhou, China. shihong_zhan@126.com.ORCID http://orcid.org/0000-0002-2965-5188

Funding

the Medical Research Project of Jiangsu Provincial Health Commission K2023049
6 · The paper itself

Abstract

objectiveThis study aimed to assess differences in peripheral blood platelet indices including platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), and the platelet-to-lymphocyte ratio (PLR) between children with hand, foot and mouth disease (HFMD) complicated by encephalitis and those with uncomplicated HFMD. A further objective was to develop a robust predictive model for HFMD complicated by encephalitis, specifically designed for resource-limited clinical settings.

methodsThis retrospective study enrolled children with HFMD who were hospitalized at the Children’s Hospital of Soochow University between January 2015 and December 2020. The participants were categorized into two groups: an encephalitis group (HFMD complicated by encephalitis) and a control group (those with uncomplicated HFMD). The baseline data, clinical features and platelet indices of the children in the two groups were then compared. Binary logistic regression analysis was used to identify the risk factors for HFMD complicated by encephalitis, and a nomogram prediction model for HFMD complicated by encephalitis was developed based on these risk factors.

resultsThe risk factors in children with HFMD complicated by encephalitis included fever for more than 3 days, listlessness, headache, limb myoclonus, positive neck resistance and/or pathological signs, and certain PLT, PDW, and PLR values. These risk factors were used to construct a simple and practical nomogram prediction model for HFMD complicated by encephalitis, which demonstrated strong predictive performance with an area under the curve (AUC) of 0.902, along with satisfactory calibration and stability upon validation.

conclusionThe nomogram prediction model of platelet indices (PLT, PDW and PLR) combined with clinical risk factors demonstrated a robust predictive capacity for HFMD complicated by encephalitis. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

EncephalitisHand, Foot and Mouth DiseaseNomogramsChild, PreschoolFemaleHumansInfantMaleMean Platelet VolumePlatelet CountPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsEncephalitisHand, foot and mouth diseaseNomogram prediction modelPlateletsPLR

Identifiers

PMID41507966
PMCPMC12870533

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.