EPI-NEWS

About diseases and vaccines

No 51 - 2017

Postoperative infections following primary total knee replacement
Merry Christmas & Happy New Year

Postoperative infections following primary total knee replacement

As from 20 December 2017, monitoring of deep infections following primary total knee replacement (TKR) forms part of the Hospital-Acquired Infections DataBAse (HAIBA). HAIBA is a surveillance system that automatically monitors specific types of hospital-acquired infections by use of computer algorithms, EPI-NEWS 9/15. HAIBA was launched in the spring of 2015 starting with monitoring of hospital-acquired Clostridium difficile infections, EPI-NEWS 10/15 and bacteraemias, EPI-NEWS 11/15. Subsequently, hospital-acquired urinary tract infections were added, EPI-NEWS 51/15. Deep infections following primary total hip replacement (THA) were included on 23 November 2016, EPI-NEWS 47/16.

The objective of HAIBA is to establish a national database that may serve to underpin efforts to reduce infections related to hospital treatment. Postoperative infection is one of the largest groups of hospital-acquired infections that are largely preventable. In future, HAIBA will report the number of laboratory-confirmed deep infections following TKR. For this purpose, HAIBA combines patient administrative data from the National Patient Register (NPR) with results from the Danish Microbiology Database (MiBa). The intention is to include other postoperative infections into HAIBA.

Background

Deep infections following TKR are rare (approx. 1%), but their complications can be very serious. They may be caused by bacteria acquired during surgery, but in some cases they arise later in connection with bacteraemia. The majority of these infections see within 90 days after the TKR.

A number of factors are probably associated with an increased risk infection: male sex, dysregulated diabetes, rheumatoid arthritis, mental illness, permanent immunosuppressant medication, previous major surgery in the same knee, prolonged surgery time and prolonged postoperative oozing from the knee.

The primary treatment of deep infection is surgery supplemented with prolonged antibiotic treatment. In spite of this, infection rates are high (up to 30-40%). The treatment courses are costly and very burdensome for patients. Often, repeated surgery is needed. At any TKR re-operation, systematic screening for infection is usually done by sampling according to Kamme-Lindberg. Five tissue biopsies are taken from the same location in the knee and sent for culture and susceptibility testing.

In the USA and the Nordic countries, an increase in the incidence of deep infections following TKR has been reported in the course of the past 10-20 years. Possible explanations may be a higher number of operations in patients with co-morbidity and a higher age than previously, a higher occurrence of resistant bacteria in the hospital environment and greater awareness that prosthesis dysfunction may be due to low-virulent infections, and improved diagnostics and registration practices.

Ongoing monitoring may produce insight into areas that can be improved and it may be possible to strengthen the quality of infection hygiene precautions and thereby patient safety. Previously, systematic monitoring of deep infections following TKR has not been in place in Denmark. A limited number of departments have audited infection clusters. Additionally, the annual report of the Danish Knee Arthroplasty Register presents the number of revisions made due to deep infection. Notification to the Danish Knee Arthroplasty Register is mandatory and is done electronically.

The advantage of HAIBA is that the figures include microbiology data, comprise figures from all Danish hospitals, private as well as public, and that data are updated continuously. The numbers are updated every night and reported monthly, which makes it possible to follow developments continuously and react to signals that call for further investigation.

The new HAIBA monitoring was developed in collaboration with orthopaedic surgeons with a special interest in deep infections following TKR. The Danish Society for Hip and Knee Arthroplasty (DSHKA) has approved the case definition.

Case-definition

In principle, the case definition for postoperative infections is different from other HAIBA case definitions as an index operation needs to have been performed for the patient to be at risk of suffering a postoperative infection.

Information about the index operation, the primary TKR, is extracted from the NPR. An infection is registered provided that a relevant re-operation has been registered and at least two of three Kamme biopsy cultures have tested positive for the same micro-organism.

The patient is followed for infections from 3 to 90 days following the index operation. In a supplemental report, patients are followed from 91 to 730 days (2 years). Patients with a bilateral index operation are followed in two parallel follow-up periods.

Presentation

The HAIBA figures are presented online at www.haiba.dk. The site also provides documentation relating to the data used, including the codes used in the case definition. Online and in this issue of EPI-NEWS, infections are presented that have occurred following planned index operations with a follow-up period of 3-90 days, aggregated to the national level. More detailed figures with a 730-day follow-up period and figures describing the hospital/department level will be made available to the individual regions pending further agreements to this effect.

The online tables and graphs present the number of infections and the risk (cumulative incidence proportion) as the number of infections per 100 index operations. The time of each infection is provided based on the date of the index operation. Data are updated every night and cover the past five full calendar years and the current year.

Comparison of HAIBA and other data sources

The algorithm has been assessed and compared with existing data sources for infections following primary TKR, and comparisons have been made to two sources: (1) a database from the Capital Region of Denmark that registers clinical assessments of infections at the time of the operation, (2) and the database from the Lundbeck Foundation for fast-track hip and knee surgery, which is based on manual assessment of discharge summaries following identification of infections. These validation studies demonstrated a high degree of overlap between the HAIBA algorithm and the reference data (specificity from 99.8% to 99.9% and sensitivity from 59.0% to 78.0%).
The discrepancies between the HAIBA and the reference data were due to different ways of recording the infections.

Results

A total of 35,683 planned index operations were recorded in the period from 1 January 2012 to 31 December 2016. This is equivalent to an average 7,137 index operations per year.

The median monthly risk (cumulative incidence proportion) for infections occurring 3-90 days after a planned TKR was 0.68 per 100 operations. The risk per month is presented in Figure 1.

EPI-NEWS 2017 no 51 - figure 1

The sex and age-specific risk is shown in Table 1.

EPI-NEWS 2017 no 51 - table 1 

The increasing trend shown from 2012 to 2016 in Table 1 is only just statistically significant, but this is due to a low occurrence in 2012 and not to an ongoing increase. The figures also showed a higher risk for men than for women.

Commentary

With the addition of deep infections following TKR, HAIBA now includes another indicator of postoperative infections. Among others, HAIBA’s strength is that data are collected automatically and that they are updated continuously and include data from all of Denmark. Therefore, the healthcare workers in hospitals are not burdened by data entry tasks.

HAIBA has been validated with reference to various other relevant data sources. Nevertheless, no reference source shows the absolute truth about the occurrence of deep infection following TKR as any assessment always includes an element of clinical assessment of the diagnosis. Overall, it may be concluded that HAIBA has developed a meaningful monitoring algorithm. Even so, it should be mentioned that HAIBA cannot be used as a tool for diagnosis of infections in individual patients. The diagnostic process involves physicians taking decisions based on all available patient information, including clinical symptoms. It is, e.g., evident that re-operation is performed on the basis of a clinical assessment. Typically, situations may arise with negative cultures of samples drawn after antibiotics treatment was initiated. These cases will not be identified in HAIBA.

HAIBA does not take case-mix into account. Thus, the monitoring is not adjusted for differences in patient populations and their risk factors (e.g. comorbidity) between the various departments and hospitals. Local differences may exist and changes may have been introduced to the indication for re-operation and culture and coding practices. This means that data are adequate for monitoring of trends and identification of signals that prevent further investigation. But considerable caution is needed when figures from different departments are compared as the observed differences may be explained by many different factors.

Each hospital only records a limited number of annual cases. Therefore, it makes more sense to follow the overall trends in the national monitoring. Nevertheless, for the individual orthopaedic surgery departments it is, of course, relevant to follow their own figures with a view to initiating interventions as needed. HAIBA will therefore make the data available for local use, pending further agreements to this effect.

In collaboration with the Danish Orthopaedic Surgery Society, a process was initiated in which departments of orthopaedic surgery and departments of clinical microbiology explore which tools and presentations are best suited for underpinning the local monitoring and infection control.

This process is very important as HAIBA may only underpin the infection hygiene efforts if data are meaningful to daily practice and are disseminated in a manner that is actionable.

(I. Johanson, M. Chaine, M. Voldstedlund, Data Integration and Analysis Secretariat (DIAS), J. Nielsen, B. Kristensen, C. S. Jensen, Department of Infectious Disease Epidemiology and Prevention, K. Mølbak, HAIBA system owner, Infection Preparedness, M. Lindberg-Larsen, Department of Orthopaedic Surgery, Odense University Hospital, A. L. Krarup, Department of Orthopaedic Surgery, Hvidovre Hospital, F. Madsen, Department of Orthopaedic Surgery, Aarhus University Hospital, Danish Society for Hip and Knee Arthroplasty (DSHKA)).

Merry Christmas & Happy New Year

Unless special circumstances arise, EPI-NEWS will not be published until week 2, 2018. The editorial team wishes everyone a merry Christmas and a happy New Year.

(Department of Infectious Disease Epidemiology and Prevention)

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20 December 2017

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Department of Infectious Disease Epidemiology
Editor: Peter Henrik Andersen

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- ISSN: 1396-4798