Evidence map›Paper›PMID 39804814›Full record

ArticleActa orthopaedica2025

An algorithm for identifying causes of reoperations after orthopedic fracture surgery in health administrative data: a diagnostic accuracy study using the Danish National Patient Register.

Signe S Jensen, Anders B Rønnegaard, Per H Gundtoft, Søren Kold, Bjarke Viberg

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Article in Acta orthopaedica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Signe S JensenDepartment of Orthopedic Surgery and Traumatology, Kolding Hospital; Department of Clinical Research, University of Southern Denmark, Denmark. signe.steenstrup.jensen@rsyd.dk.ORCID 0000-0003-1563-3778
Anders B RønnegaardDepartment of Orthopedic Surgery and Traumatology, Kolding Hospital; Department of Clinical Research, University of Southern Denmark, Denmark.ORCID 0000-0002-8037-5114
Per H GundtoftDepartment of Orthopedic Surgery and Traumatology, Aarhus University Hospital. Denmark.ORCID 0000-0002-3688-6865
Søren KoldDepartment of Orthopedic Surgery, Aalborg University Hospital, Denmark.
Bjarke VibergDepartment of Orthopedic Surgery and Traumatology, Kolding Hospital; Department of Clinical Research, University of Southern Denmark; Institute of Regional Health Research, University of Southern Denmark; Department of Orthopedic Surgery and Traumatology, Odense University Hospital, Denmark.ORCID 0000-0001-5169-4282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDisease- or procedure-specific registers offer valuable information but are costly and often inaccurate regarding outcome measures. Alternatively, automatically collected data from administrative systems could be a solution, given their high completeness. Our primary aim was to validate a method for identifying secondary surgical procedures (reoperations) in the Danish National Patient Register (DNPR) within the first year following primary fracture surgery. The secondary aim was to evaluate the accuracy of the diagnosis and procedure codes used to determine the causes of these reoperations. Finally, we developed algorithms to enhance precision in identifying the reasons for reoperations.

methodsIn a national cohort of 11,551 patients with primary fracture surgery, reoperations were identified through subsequent surgical procedure codes in the DNPR. Each patient record was reviewed to confirm the reoperations and causes. To improve accuracy, a stepwise algorithm was developed for each cause.

resultsWe identified 2,347 possible reoperations; 2,212 were validated as true reoperations by review of patient record, i.e., a 94% positive predictive value (PPV). However, the coding for the causes of these reoperations was inaccurate. Our algorithm identified major reoperations with a sensitivity/PPV of 89/77%, minor reoperations 99%/89%, infections 77/85%, nonunion 82/56%, early re-osteosynthesis 90/75%, and secondary arthroplasties 95/87%.

conclusionWhile the overall reported reoperations in the DNPR had a high PPV, the predefined diagnosis and procedure codes alone were not sufficient to accurately determine the causes of these reoperations. An algorithm was developed for this purpose, yielding acceptable results for all causes except nonunion.

Indexed as

AlgorithmsFractures, BoneReoperationAdultAgedDenmarkFemaleHumansMaleMiddle AgedPostoperative ComplicationsRegistries

Identifiers

PMID39804814
PMCPMC11726852

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