Evidence map›Paper›PMID 40606704›Full record

ArticleThe Iowa orthopaedic journal2025

The Causes and Costs of Surgical Site Infection in Total Hip and Total Knee Arthroplasty: A Retrospective Review of 4,973 Procedures.

Cormac T O'Sullivan, Yelena Perkhounkova, Prakash Nadkarni, Seyedehtanaz Saeidzadeh, Maria Hein, Nicolas Noiseux

Abstract read
In one paragraph

Article in The Iowa orthopaedic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Cormac T O'SullivanDepartment of Anesthesia, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Yelena PerkhounkovaOffice for Nursing Research and Scholarship, University of Iowa College of Nursing, Iowa City, Iowa, USA.
Prakash NadkarniDepartment of Nursing, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Seyedehtanaz SaeidzadehUniversity of Alberta Faculty of Nursing, Edmonton, AB, Canada.
Maria HeinOffice for Nursing Research and Scholarship, University of Iowa College of Nursing, Iowa City, Iowa, USA.
Nicolas NoiseuxDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this article is to delineate risk factors associated with SSI (surface, deep tissue, and periprosthetic joint infections) in hip and knee total joint replacement (TJR) surgeries for both primary and revision procedures. Methods: Retrospective case-control study of non-emergent TJR procedures performed at a tertiary level academic medical center between 2014-2018. Multivariable logistic regression was used to determine which factors are associated with an increased risk for SSI in TJR. Results: 4,973 procedures (2,543 knee and 2,430 hip arthroplasties) were performed on 4,014 unique patients. There were 82/4,973 total SSI: 43/2,430 (1.8%) in the THA group and 39/2543 (1.5%) in the TKA group. Risk factors associated with the development of an SSI included a female gender (65% increased odds ratio), BMI (increased odds ratio 3% for every 1-point increase in BMI (10-point BMI increase = 30% increased odds), length of surgery (8% increase for every additional 10 minutes of surgical time). Chronic renal disease and anemia double the odds of an SSI and cardiac arrythmias increased the odds by 88%. A history of skin integrity issues more than doubled the odds and a previous skin ulcer more than tripled the odds of an SSI. Using a multi-layered dressing reduces the odds and not using one more than doubles the odds of suffering an SSI. An SSI increased length of stay by two days and cost of stay by $38,000. Conclusion: SSI are problematic and with the changing demographics of TJR patients their incidence will increase. Addressing modifiable risk factors such as early treatment of anemia and postoperative dressing choice may reduce the SSI burden and cost of a TJR. Adapting care routines for non-modifiable risk factors such as chronic diseases and gender may have additional patient benefit.Surgical Site Infection (SSI) is one of the most frequently reported types of hospital acquired infections resulting in increased length of stay, increased healthcare costs and increased morbidity and mortality. This study reviewed 2,543 total knee arthroplasties and 2,430 total hip arthroplasties (4,973 procedures) completed on 4,014 unique patients. Multivariable analysis showed the odds of developing an SSI was increased for patients who were female, younger, had a history of a pressure ulcer or skin integrity issues, anemia, chronic renal disease, a cardiac dysrhythmia, a higher BMI, a longer surgical procedure, and the use of specific types of surgical site dressings. The mean length of stay for a patient who suffered an SSI increased by 1.8 days, the length of time they were on antibiotics doubled to a mean of 16 days, and the mean cost of treatment increased by $38,300. Addressing modifiable causes of SSI such as skin integrity issues and anemia preoperatively, reducing intraoperative time, and changing the type of dressing used postoperatively may improve patient outcomes, improve quality of care, and reduce healthcare costs.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeSurgical Wound InfectionAgedCase-Control StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Factorshealthcare costsmodifiable SSI factorsSSIsurgical site infectiontotal joint arthroplasty

Identifiers

PMID40606704
PMCPMC12212308

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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.