Evidence map›Paper›PMID 42469659›Full record

ArticleBMC infectious diseases2026

Clinical characteristics associated with severe misdiagnosis of scabies: a retrospective hospital-based study.

Tian Wang, Lu Tang, Lanhai Zhong, Jiande Han, Naiyu Lin

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Article in BMC infectious diseases, 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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5 · Who and what money

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5 authors.

Tian Wang *Department of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lu Tang *Department of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lanhai ZhongDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiande HanDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Naiyu LinDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. linny@mail.sysu.edu.cn.

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6 · The paper itself

Abstract

backgroundSevere misdiagnosis of scabies can result in prolonged symptoms, inappropriate use of immunosuppressive therapy, secondary infections, and transmission within an institution. Hospitalized patients frequently present with atypical morphology or distribution, leading to uncertainty in diagnosis.

objectiveThis study aimed to identify clinical characteristics associated with severe misdiagnosis of scabies using a study-defined pragmatic grading system developed to capture diagnostic delay, inappropriate treatment exposure, and adverse clinical consequences.

methodsWe performed a retrospective review of 41 patients admitted to the hospital and subsequently confirmed to have scabies. Because no validated grading system currently exists for the severity of scabies misdiagnosis, we applied a study-defined, pragmatic four-level classification (Levels 0-3) based on diagnostic delay, inappropriate treatment exposure, and clinical consequences. Levels 2 and 3 were defined as severe misdiagnosis. Univariate logistic regression was performed to assess factors associated with severe misdiagnosis, whereas univariate ordinal logistic regression (proportional odds model) was performed to explore associations across the entire severity grading system.

resultsSevere misdiagnosis was identified in 10 of 41 patients (24.4%). Interdigital involvement was associated with lower odds of severe misdiagnosis (OR 0.048, 95% CI 0.008-0.297; P = 0.001), whereas generalized involvement was associated with higher odds of severe misdiagnosis (OR 7.27, 95% CI 1.31-40.42; P = 0.023). Ordinal regression showed directionally consistent findings: generalized involvement was associated with higher misdiagnosis grades (common OR 14.74; P = 0.002), whereas interdigital involvement was associated with lower misdiagnosis grades (common OR 0.106; P = 0.003). Age showed a non-significant trend toward higher misdiagnosis severity. Routine laboratory tests showed limited discriminatory value.

conclusionsIn this retrospective hospital-based cohort, absence of classical interdigital involvement and generalized distribution were associated with higher grades of scabies misdiagnosis in univariate exploratory analyses. Bullous morphology also showed a non-significant trend toward higher misdiagnosis severity. These findings are hypothesis-generating and most applicable to similar hospitalized populations. Targeted examination of classic sites or empirical treatment when a diagnosis is suspected remains crucial, especially in cases of widespread or atypical presentations. Larger prospective studies are needed to validate the proposed study-defined grading system and to determine whether these clinical patterns can reliably guide diagnostic decision-making.

Indexed as

Diagnostic ErrorsScabiesAdolescentAdultAgedFemaleHospitalsHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexYoung AdultDiagnostic errorGeneralized eruptionInterdigitalMisdiagnosisScabies

Identifiers

PMID42469659
PMCPMC13660343

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