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Assessment of misdiagnosis in small animal intensive care patients using the Modified Goldman criteria.

ABSTRACT: The postmortem examination can be used as a means of quality control for clinical diagnoses. A retrospective study on 300 dogs and cats that had been admitted to a small animal intensive care unit was performed comparing the clinical and postmortem findings, using the Modified Goldman criteria. All patient files were reevaluated for clinical diagnoses and all postmortem material was reevaluated for pathological diagnoses. After this, the Modified Goldman criteria were applied to score the discrepancies between them, and factors associated with the occurrence of an undiagnosed major unexpected finding were analyzed. The postmortem examination revealed additional findings in 65% of the cases. Major discrepancies, defined as those affecting treatment and possibly outcome of the patient, were present in 21.3% of the cases. The most frequently missed diagnoses detected at necropsy were pneumonia of various etiologies, meningitis/meningoencephalitis, myocarditis and generalized vasculitis. A shorter ICU stay was associated with increased odds of a major discrepancy. Conditions affecting the urinary or gastrointestinal system were negatively associated with major discrepancy.

SUBMITTER: Hugen S

PROVIDER: S-EPMC10506425 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Assessment of misdiagnosis in small animal intensive care patients using the Modified Goldman criteria.

Hugen Sanne S Ankringa Nynke N Robben Joris Henricus JH Valtolina Chiara C

The veterinary quarterly 20231201 1

The postmortem examination can be used as a means of quality control for clinical diagnoses. A retrospective study on 300 dogs and cats that had been admitted to a small animal intensive care unit was performed comparing the clinical and postmortem findings, using the Modified Goldman criteria. All patient files were reevaluated for clinical diagnoses and all postmortem material was reevaluated for pathological diagnoses. After this, the Modified Goldman criteria were applied to score the discre ...[more]

PMID: 37401620

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Project description:BackgroundEffectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.ObjectivesIn this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).Data sourcesElectronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward.Charting methodsData was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group.ResultsFive domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated.ConclusionsThis study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

Dataset Information

Assessment of misdiagnosis in small animal intensive care patients using the Modified Goldman criteria.

Publications

Assessment of misdiagnosis in small animal intensive care patients using the Modified Goldman criteria.

Similar Datasets

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