How reliable is perioperative anticoagulant management? Determining guideline compliance and practice variation by a retrospective patient record review.

OBJECTIVES: Surgery in patients on anticoagulants requires careful monitoring and risk assessment to prevent harm. Required interruptions of anticoagulants and deciding whether to use bridging anticoagulation add further complexity. This process, known as perioperative anticoagulant management (PAM), is optimised by using guidelines. Optimal PAM prevents thromboembolic and bleeding complications. The purpose of this study was to assess the reliability of PAM practice in Dutch hospitals. Additionally, the variations between hospitals and different bridging dosages were studied.
DESIGN: A multicentre retrospective patient record review. SETTING AND PARTICIPANTS: Records from 268 patients using vitamin-K antagonist (VKA) anticoagulants who underwent surgery in a representative random sample of 13 Dutch hospitals were reviewed, 259 were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary outcome measure was the reliability of PAM expressed as the percentage of patients receiving guideline compliant care. Seven PAM steps were included. Secondary outcome measures included different bridging dosages used and an analysis of practice variation on the hospital level.
RESULTS: Preoperative compliance was lowest for timely VKA interruptions: 58.8% (95% CI 50.0% to 67.7%) and highest for timely preoperative assessments: 81% (95% CI 75.0% to 86.5%). Postoperative compliance was lowest for timely VKA restarts: 39.9% (95% CI 33.1% to 46.7%) and highest for the decision to apply bridging: 68.5% (95% CI 62.3% to 74.8%). Variation in compliance between hospitals was present for the timely preoperative assessment (range 41%-100%), international normalised ratio testing (range 21%-94%) and postoperative bridging (range 20%-88%). Subtherapeutic bridging was used in 50.5% of patients and increased with patients' weight.
CONCLUSIONS: Unsatisfying compliance for most PAM steps, reflect suboptimal reliability of PAM. Furthermore, the hospital performance varied. This increases the risk for adverse events, warranting quality improvement. The development of process measures can help but will be complicated by the availability of a strong supporting evidence base and integrated care delivery regarding PAM. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

We used a multicentre retrospective patient record review to assess the quality of perioperative anticoagulant care.

This allowed us to evaluate the ‘real-world’ practice without risking bias by study setting or observations.

Dependency of routinely recorded patient data had its own limitations, especially regarding the quality of preoperatively recorded perioperative anticoagulant management care.

Some selection bias at the hospital level might have occurred due to the voluntary nature of participation.

Clinical outcomes were not included in our assessment, preventing the establishment of a relationship with observed practice patterns.

Background

Anticoagulant therapy is effective in preventing arterial thromboembolisms, including cerebral stroke, in patients with atrial fibrillation or a mechanical heart valves as well as preventing venous thromboembolism. Managing anticoagulant therapy is challenging for various reasons. Among these are the narrow therapeutic target ranges for the international normalised ratio (INR), susceptibility to dietary fluctuations and comedication interactions altering the anticoagulant intensity.1 2 This urges careful risk assessments and monitoring of anticoagulants to prevent adverse bleeding and thromboembolic events,3 4 both having a potential harmful, everlasting effect on quality of life in a largely elderly patient population. However, in the past decade, anticoagulants were identified as having one of the highest occurrence of medication-related adverse events.5–8 Corresponding with the first step in the ‘safety measurement and monitoring’ framework as proposed by Vincent et al, these studies confirm that anticoagulants cause harm, jeopardising patient safety.9 Consecutive quality improvement initiatives targeted at anticoagulant drugs are there for warranted, and some have already been undertaken.10–12

To inform these quality improvement efforts, this framework supports assessing the reliability, defined as ‘failure-free operation over time’, of standardised clinical systems and processes within healthcare. It applies to processes that healthcare professionals have to carry out reliably.9

Anticoagulant management around surgery can be regarded as such a process since international guidelines advise and assist standardisation.13 Surgery itself accounts for 21% of anticoagulant-related medication errors as found by Henriksen et al.14 Therefore, making it a relevant process for a reliability assessment.

Surgical procedures in anticoagulated patients require specific attention. While reducing the risk of thromboembolic events, uninterrupted anticoagulation increases bleeding risk during and after surgery.15 16 Hence, preoperative interruption of anticoagulation is often required.17 For a select group of high-risk patients, short-acting heparins, for example, low-molecular-weight heparins (LMWHs), are required during the interruption period to reduce the time at risk for thromboembolic complications. This is known as ‘bridging anticoagulation’ and is considered an off-label use of heparins without consensus on optimal dosing.13 18 19 The process of managing anticoagulants around surgery is referred to as ‘perioperative anticoagulant management’ (PAM). PAM entails several steps that healthcare professionals should carry out reliably to minimise thromboembolic and bleeding complications.20–22

Standardised PAM has been evaluated within study contexts several times and found that it was feasible and associated with a low risk for complications.19 21–23 However, the persistent occurrence of anticoagulant-related adverse events around the time of surgery, questions the reliability of everyday PAM practice compared with study settings.

Evaluating the reliability of standardised PAM in everyday practice can reveal provider or process vulnerabilities that can help in interpreting adverse events. Studies evaluating PAM in everyday practice are scarce and have limited generalisability due to self-reported PAM practices by physicians, restricted patient populations and single centre based studies.24–27

Therefore, as the next step in safety measurement and monitoring, the primary aim of this study was to assess the reliability of everyday PAM practice from planning to patient discharge in a selection of Dutch hospitals. Reliability was assessed by determining the per cent of patients receiving guideline compliant care. Our secondary aims were to determine if PAM practice varied between hospitals and which heparin dosages are used for bridging anticoagulation.

Methods

Study setting, design and participants

Long-term oral anticoagulant care in the Netherlands is characterised by a network of anticoagulant management services (AMS). These specialised services are responsible for monitoring and dosage of vitamin-K antagonist (VKA) anticoagulation outside the hospital setting. During hospitalisation, this responsibility is temporarily transferred from the AMS to the medical specialist until discharge. Also in case of PAM, a transfer of responsibility takes place. According to a Dutch integrated care standard, the surgeon together with the anaesthesiologist set the PAM policy.28 However, the responsibility for executing the PAM policy depends on whether or not the patient is admitted in the hospital. In case of admitted patients, the surgeon is responsible for PAM execution. If patients reside at home, the AMS are responsible. The PAM evaluation in this study was performed from the perspective from the hospital where surgery took place.

Hospitals were invited for participation after being selected through a random sampling procedure that was stratified for hospital type and geographical location (urban/rural). Participation was voluntary. At first, 19 hospitals were invited of which 10 agreed to participate. To improve the representativeness of our hospital sample relative to all Dutch hospitals, we sampled and invited an additional six hospitals of which three agreed to participate. In total, two university, four tertiary teaching and seven general hospitals participated (online supplementary figure 1). When given, official reasons for non-participation were: migrations between electronic health records, staffing shortages for facilitating the research and internal reorganisations.

Twenty records of patients using VKA admitted for surgery between 1 June 2015 and 31 December 2015 were randomly selected and reviewed. Randomisation of eligible patient records was performed by hospital or research personnel using a random number generator available in the local spreadsheet application. Patients were only included once per hospital. Inclusion criteria were: age ≥18 years, length of stay ≥24 hours, underwent acute or elective surgical procedure using general and/or spinal/epidural anaesthesia. Exclusion criteria were: psychiatric or gynaecological/obstetric ward admission, admission from or discharge to other hospitals, trauma other than hip fractures on admission, pregnancy or 6 weeks postpartum and palliative care admission. In case of an irretrievable required (section of a) health record, a replacement record was randomly selected. This study focusses only on patients with interrupted VKAs. Therefore, we excluded records from analysis if the PAM policy was not recorded or when the VKA was not interrupted (online supplementary figure 1).

Reliability assessment of PAM

A panel of five experts in the thrombosis and haemostasis field was consulted throughout this study. The panel was involved in both developing case report forms and classification models. We distinguished seven steps in the PAM process for the reliability assessment. Based on guidelines and previous assessments, these steps were seen as critical to a safe execution of PAM:

Step 1 Timing of preoperative patient assessment

Step 2 Preoperative VKA interruption interval

Step 3 Preoperative INR testing

Step 4 Preoperative use of bridging anticoagulation

Step 5 Postoperative use of bridging anticoagulation

Step 6 Postoperative restart time for bridging anticoagulation

Step 7 Postoperative restart time for VKA

Reliability of individual PAM steps was defined as the percentage of patients receiving guideline compliant care. The adequacy of the decision to interrupt the VKA is not subject to evaluation in this study, because of the absence of a validated instrument to determine surgical bleeding risk.

Several relevant guidelines on PAM are available. During our data collection period in 2015, the Dutch Quality Institute for Healthcare (CBO) guideline for Diagnostics, Prevention and Treatment of Venous Thromboembolism and Secondary Prevention of Arterial Thrombosis released in 2008 was the leading PAM guideline.29 This guideline is an adaption of the American College of Chest Physicians (ACCP) guideline for warfarin patients released in 2004.30 However, it became apparent that in 2015 the CBO guideline more than likely reflected outdated evidence regarding PAM and current practice has since moved on. Especially since the ACCP updated its guideline in 2012. To account for this, we employed a hybrid frame of reference of the 2008 and 2012 guideline in assessing PAM reliability. We ensured that our assessment criteria reflected the pharmacological properties of acenocoumarol and phenprocoumon used in the Netherlands as opposed to warfarin used internationally. Table 1 provides an overview of all PAM steps, assessment criteria and sources used.

Table 1

Perioperative anticoagulant management (PAM) steps with evaluation criteria and source

Preoperative
No	PAM step	Evaluation criteria		Applicable population	Source
		Compliant	Non-compliant
1	Timing of patient assessment	Assessment Performed ≥ 7 days preoperative	Assessment Performed < 7 days preoperative	Elective	ACCP, 2012
2	VKA interruption interval	Acenocoumarol interruption = 3 days Phenprocoumon interruption = 5 days	Acenocoumarol interruption ≠ 3 days Phenprocoumon interruption ≠ 5 days	Elective	CBO, 2008
3	INR testing	INR is tested on day of surgery	INR is not tested on day of surgery	Elective	ACCP, 2012
4	Bridging anticoagulation use	Based on thromboembolic risk: Low/intermediate risk: no bridging used Intermediate/high risk: bridging used	Based on thromboembolic risk: Low risk: bridging used High risk: no bridging used	Elective	ACCP, 2012
Postoperative
5	Bridging anticoagulation use	Based on thromboembolic risk: Low/intermediate risk: no bridging used Intermediate/high risk: bridging used	Based on thromboembolic risk: Low risk: bridging used High risk: no bridging used	Elective Non-elective	ACCP, 2012
6	Restart time for bridging anticoagulation	Bridging restart day = 1st day after surgery In case high thromboembolic risk: Bridging restart day = day of surgery or 1st day after surgery	Bridging restart day ≠ 1st day after surgery In case high thromboembolic risk: Bridging restart day ≠ day of surgery or 1st day after surgery	Elective Non-elective	CBO, 2008
7	Restart time for VKA	VKA restart day = 1st day after surgery	VKA restart day ≠ 1st day after surgery	Elective Non-elective	CBO, 2008

ACCP, American College of Chest Physicians; CBO, Dutch Quality Institute for Healthcare; INR, international normalised ratio; VKA, vitamin-K antagonist.

Patient record review

Trained research assistants and one researcher (MM) reviewed and extracted the data in all hospitals through standardised case report forms. Both outpatient preoperative patient assessment records and inpatient admission records were retrieved. Data extracted from the preoperative patient assessment records included the planned preoperative anticoagulant management, that is, whether the VKA was to be interrupted with or without bridging anticoagulation, interruption dates and bridging anticoagulation orders. Data required for the determination of thromboembolic risk were extracted from the medical history records. This included the indication for VKA use and presence of relevant comorbidities. Data extracted from inpatient admission records were INR test results, VKA and heparins administration and discharge orders. Furthermore, general demographic, admission and surgery characteristics were extracted. The informed consent was waived because of the use of patient record data only (protocol number: 2015/430).

Primary outcome measures: compliance of PAM

Classification models were constructed for determining guideline compliance for each PAM step. Compliance for steps 1–4 was not assessed for patients undergoing non-elective or emergency surgery. Steps 5–7 were assessed for all patients while differentiating between elective and non-elective patients. All PAM evaluation criteria and the distinction between compliance and non-compliance are summarised in table 1. We will discuss several steps in detail.

Steps 4 and 5 involve determining the thromboembolic risk in order to evaluate the appropriateness of bridging anticoagulation. Thromboembolic risk was determined based on the ACCP 2012 guideline and is provided in online supplementary table 1. The classification of preoperative bridging anticoagulation was based on patient record annotations indicating towards the use of bridging anticoagulation. Postoperative use of bridging was analysed in more detail and included the dosage. Therapeutic and subtherapeutic dosed heparins were both classified as bridging (online supplementary table 2). A minimum of two consecutive days of bridging or a discharge prescription present was required for a classification of postoperative bridging. The adequacy of the duration of bridging therapy was not subject to evaluation.

Step 6 involves the postoperative restart time for bridging anticoagulation. Based on the CBO recommendations, postoperative bridging anticoagulation restarted on the first day following surgery was classified as compliant. CBO makes an exception for high thromboembolic risk patients, for which restarting bridging on the day of surgery is considered compliant as well.

Secondary outcome measures: practice variation and bridging dosages

Presence of practice variation between hospitals was analysed by determining the individual compliance per hospital. A minimum of 10 records per hospital per step was required to include the PAM step in variation analysis. The differences were statistically tested.

For the analysis of postoperative bridging dosages, a distinction was made between therapeutic and subtherapeutic dosages. Therapeutic dose heparins should be adjusted to the patient’s weight.

Based on the patients’ weight, bridging dosages were classified as either therapeutic or sub therapeutic using threshold values used in the Netherlands.31 Threshold values are provided in online supplementary table 2. Bridging dosage was determined per patient and the differences between patients were tested for elective and non-elective surgery, patients’ thromboembolic risk and bodyweight strata.

Statistical methods

To describe the study population and PAM practice characteristics, we used descriptive statistics. Compliance was expressed as the percentage of patients receiving guideline recommended care with 95% CIs. Differences in PAM practice characteristics and compliance between various groups were tested. Categorical outcomes were tested with X2 or Fisher’s exact tests, continuous variables with the Man-Whitney U test due to skewness of the data.

Overall, practice variation between hospitals was tested with the X2 test or, when appropriate, the Fisher-Freeman-Halton exact test. Next, post hoc X2 tests between individual hospitals’ performance for PAM steps were performed. For all tests, a p<0.05 was considered statistically significant. Bonferroni correction was applied to control for type I error inflation during post hoc testing. Statistical analyses were performed with SPSS V.22 (IBM) and Stata V.14 (StataCorp).

Patient and public involvement

Patients and public were not directly involved in the current study.

Results

Study population

We reviewed 268 patient records in 13 hospitals. Eleven hospitals used internal PAM protocols. The two remaining hospitals did not share information on protocol use. Nine records were excluded from analysis because of uninterrupted VKA or unclear recording of the PAM. The remaining 259 records (mean records per hospital=19.9; range=16–23) were analysed (online supplementary figure 1).

Demographic and clinical characteristics are displayed in table 2. The mean age of patients was 74.8 years (SD=10.6), most patients were male (56.4%). Atrial fibrillation was the most common indication for VKA use (66.8%) followed by venous thromboembolism (8.9%) and mechanical heart valve (3.5%). Surgery was elective in 71.0% of patients; orthopaedic (34.4%) and gastrointestinal (20.1%) surgeries were most prevalent.

Table 2

Demographic and clinical characteristics of included patients (n=259)

Age (years), mean (SD)	74.8 (10.6)
Male gender, n (%)	146 (56.4)
Elective surgery, n (%)	184 (71.0)
Length of stay (days), median (IQR)	6.0 (3.0–10.0)
VKA, n (%)
Acenocoumarol	205 (79.2)
Phenprocoumon	54 (20.8)
Indication for VKA use, n (%)
Atrial fibrillation	173 (66.8)
Venous thromboembolism	23 (8.9)
Mechanical heart valve	9 (3.5)
Multiple*	21 (8.1)
Other	33 (12.7)
Comorbidities, n (%)
iCVA/TIA	37 (14.3)
Thrombophilia	7 (2.7)
Heart failure	20 (7.8)
Hypertension	132 (51.0)
Diabetes mellitus	63 (24.3)
Active cancer/malignancy	55 (21.2)
Thromboembolic risk, n (%)
Low	138 (53.3)
Moderate	38 (14.7)
High	40 (15.4)
Unknown†	43 (16.6)
Type of surgical procedure, n (%)
Gastrointestinal	52 (20.1)
Orthopaedic	89 (34.4)
Plastic	3 (1.2)
Cardiac	9 (3.5)
Neurosurgery	5 (1.9)
Breast	6 (2.3)
Vascular	36 (13.9)
Urologic	43 (16.6)
Dental/ENT/HN	2 (0.8)
Other	14 (5.4)

*Combination of two of the following indications: atrial fibrillation, venous thromboembolism and mechanical heart valve.

†33 patients used VKA for other indications than AT9 provides TE-risk stratification, 10 patient records provided insufficient information to determine TE-risk.

ENT, ear, nose and throat; HN, head and neck.; iCVA, ischaemic cerebrovascular accident; TIA, transient ischaemic attack; TE, thromboembolic event; VKA, vitamin-K antagonist.

Primary outcome measures: PAM practice and compliance

The PAM practice characteristics and compliance with the guidelines are displayed in tables 3 and 4. The median day of patient assessment (step 1) was 19 days preoperative (IQR=8–37) corresponding with a compliance of 80.8% with the recommended minimum of 7 days.

Data required for determining the duration of withholding VKA (step 2) were available in 119 (64.7%) of elective patient records. Of these, VKA interruptions were compliant in 58.8% of patients. Acenocoumarol and phenprocoumon were interrupted for a median of 3 days (IQR=3–3) and 5 days (IQR=3–7), respectively.

Preoperative INR was tested (step 3) at the day of surgery in a majority of 60.9% elective patients, which is compliant with the recommendation. However, in 12.0%, no recent INR test was performed.

Preoperative bridging policies (step 4) were available in 157 of the reviewed records (85.3%). Among these, bridging was used in 47 (29.9%). Preoperative bridging was used more frequently as the thromboembolic risk profile increased. Overall, preoperative bridging use was compliant in 79.7% of elective patients.

Postoperative bridging (step 5) was used in 107 patients (41.3%), with the highest bridging rate of 57.9% for moderate-risk patients. Postoperative bridging of low-risk patients differed between elective and non-elective patients (29.4% vs 48.5%; χ2; p=0.044). Overall, the compliance of postoperative bridging was 68.5% and differed significantly between elective and non-elective patients (73.5% vs 56.5%; χ2; p=0.015).

Bridging was restarted (step 6) at a median of 1 day (IQR=0–1) whereas VKAs were restarted (step 7) at a median of 2 days (IQR=1–3) corresponding with compliances of 57.8% and 39.9%, respectively. Both the bridging and VKA restart interval compliance did not differ between elective and non-elective patients (χ2; p=0.42 and p=0.39, respectively).

Variation between hospitals’ compliance is displayed in figure 1. Performance varied significantly for the preoperative patient assessment (p<0.001), preoperative INR testing (p<0.001) and postoperative use of bridging anticoagulation (p=0.001). Post hoc testing identified one significantly lower performing hospital for each of these PAM steps (hospitals 2 and 9) and one hospital performed significantly better with the INR testing (hospital 6).

Figure 1

Variation in compliance between individual hospitals for steps 1, 3, 5 and 7. The dashed vertical line represents the population average. INR, international normalised ratio; VKA, vitamin-K antagonist.

Lastly, bridging dosages of LMWH were studied. Of the 107 bridged patients, 54 (50.5%) received a subtherapeutic dosage, 45 (42.1%) a therapeutic dosage, 4 (3.7%) a combination and for another 4 (3.7%) patients the distinction between the two dosages could not be established (results not shown in table). The bridging dosages did not vary between elective or non-elective patients (χ2; p=0.30) and for different thromboembolic risk strata (χ2; p=0.39). However, bridging dosages varied between patient weight groups (Fisher’s exact; p<0.001). Subtherapeutic bridging dosage use increased as the patient weight increased (online supplementary figure 3).

Discussion

This study aimed to assess the reliability of PAM in everyday, also referred to as ‘real-world’ practice in a sample of Dutch hospitals. Deviations from recommended PAM care were common. Depending on the PAM step of interest, deviations occurred in at least 19% of patients to as much as 60% of patients.

Compliance and possible implications for practice

The highest non-compliance was found for the VKA and bridging anticoagulation time of restart (steps 6 and 7). Both should be restarted after 24 hours postsurgery. However, the restart of bridging was premature or delayed in 42.2% of patients whereas VKA restart interval deviations were even more common, occurring in 60.1% of patients. The majority of these were attributable to a delayed restart, which is similar to the findings of others.24 Delayed restarts prolong the time patients are at risk for a thromboembolic complication due to suboptimal anticoagulation.

The reason for this low compliance for restart intervals is unclear. Restart postponement is preferred if adequate postsurgical haemostasis has not yet occurred; with the current study design, we could not observe the adequacy of this decision. However, allowing a 24-hour restart postponement would increase the compliance figures with a modest 8.7% and 13.1% for bridging and VKA restart, respectively. Another explanation, described by Flaker et al, is a difference in attitudes of clinicians in averting thromboembolic or bleeding complications. Clinicians with a risk-averse attitude towards bleeding complications might favour a delayed restart, whereas a risk-averse attitude towards thromboembolic complications might result in a premature restart.32

Also, preoperatively the timing of VKA interruption (step 2) appears to be troublesome. An inadequate interruption interval exposes patients to a prolonged thromboembolic risk in case of preliminary VKA interruption. Alternatively, delays or cancellations of surgery can occur in case of delayed VKA interruptions. These situations should be prevented as much as possible since they can increase patients harm, discontent and healthcare costs.

INR testing (step 3) was omitted in 12% of patients. Although not mandated in all guidelines, ensuring INR levels are safe prior to surgery is likely beneficial in preventing adverse bleeding events related to the surgery.

The bridging decision (steps 4 and 5) was not in accordance with the guidelines in almost one in three patients. Furthermore, the postoperative performance was significantly lower in non-elective patients due to an overuse of bridging in low-risk patients. Emergency surgery settings with less time or priority for assessing the need for bridging anticoagulation might contribute to this. However, the guidelines are originally aimed at elective patient populations, so our results for non-elective patients should be interpreted accordingly. Regardless of this, the identified difference warrants further investigation of postoperative PAM in non-elective surgery settings. Future guidelines should consider including a statement or recommendation for non-elective surgery patients to inform involved professionals.

Also, the use of subtherapeutic dose bridging in 50% of patients was unexpectedly high given the explicit CBO 2008 recommendation to provide therapeutic dose bridging. Insufficient dose adjustments for bodyweight appeared to be contributing to this observation.

Most cases of non-compliance we observed, directly increase the risk for adverse events. Therefore, our study can indirectly explain some of the occurrences of anticoagulant-related adverse events that occur around surgery and are reported in other studies.14 33

Quality improvement for PAM

Our reliability findings inform the development of quality improvement measures for PAM. Since we evaluated the hospitals’ performance on the delivery of PAM as oppose to patient outcomes, process measures are most appropriate. Process measures reflect the delivery of care to patients and can inform us of the quality of this care.34 35 However, not all PAM steps with corresponding guideline recommendations will be as easily transformed in an effective process measure. For example, the decision whether to use bridging requires a large number of specific risk factors that have to be brought together and comprehended to anticipate on the most favourable outcome for the patient. This will be challenging to include in a single process measure. More straightforward candidates for PAM process measures are the timing of patient assessment or the preoperative INR testing. Supported by modern electronic health record and appointment data, evaluation of these steps should not be problematic. This is confirmed in our study by the amount of valid record entries for these two steps compared with other steps.

Another challenge for quality improvement involves the integrated care aspect of PAM. In the Netherlands, 52 AMS and 121 hospitals are present,36 37 indicating heterogeneous service areas and resulting in multiple collaborations. A national integrated anticoagulant care standard aims to align involved healthcare providers and their responsibilities.28 However, a recent qualitative process analysis of preoperative PAM found a divergent practice pattern regarding the responsibilities of hospitals and AMS during preoperative PAM. Barriers in implementing guidelines at integrated care level, such as a lack of common governance, different logistics, medical oversight and funding, as described by Lang et al might be at work here.38 Implementing a shared responsibility for preoperative PAM might encourage the alignment of involved integrated care providers.

As a final point towards PAM quality improvement, it is worthwhile to note that new evidence for PAM in VKA patients is rapidly emerging. Guidelines are quickly complemented by new evidence, among which is evidence suggesting a relation between early onset (<24 hours) of postoperative bridging anticoagulation and major bleeding complications.39 Other evidence competes with the effectiveness of bridging anticoagulation. The BRIDGE (Perioperative Bridging Anticoagulation in Patients with Atrial Fibrillation) trial found that bridging did not reduce thromboembolic complications but increased the risk for bleeding complications compared with non-bridging.40 This trial was published in the last month of our patient inclusion (December 2015) so its suspected impact in terms of reduced bridging in atrial fibrillation patients had not been translated into clinical practice yet. Since a majority of our study population were atrial fibrillation patients and bridging low-risk patients was the most prevalent form of non-compliance, the BRIDGE trial findings might have positively influenced the overall bridging compliance from December 2015 onwards. What adds to this expectation is the Dutch national guideline update in April 2016, where the number of thromboembolic risk strata got limited to only two. Most of the patients in the moderate risk stratum are reassigned towards the lower risk stratum for which bridging is not recommended.31 These developments show that the evidence base is still subject to change rather than well established, posing an obstacle for quality improvement measure development.41 Furthermore, long guideline update intervals, delay new evidence to reach practice.42

Strengths and limitations

Our study has several strengths and limitations. First of all, the multicentre design with a representative sample of Dutch hospitals provides us with insight into current PAM practice in the Netherlands. Furthermore, the use of patient record data allowed us to evaluate the ‘real-world’ PAM practice without risking bias caused by study setting or observation.

At the same time, the dependency on routine patient record data has its own limitations. The PAM registration in the records was not always of high quality. This became apparent for the preoperative VKA interruption, details regarding preoperative bridging and documentation of postsurgical haemostasis. These were sometimes insufficiently documented. Although this probably introduced some bias to the compliance assessment for these two steps, it is not expected to change conclusions much due to the high prevalence of non-compliance in valid records.

Additionally, the specific agreements between hospitals and involved AMS regarding PAM cooperation were not available for this study. Therefore, we cannot rule out that some of our observed variation is attributable to between-hospital variation regarding such cooperations.

The voluntary participation of hospitals poses as another limitation. In total, 25 hospitals were invited to participate, of which only 13 accepted. Therefore, we cannot exclude the possibility of some selection bias at hospital level.

As a final limitation, we wish to acknowledge that no clinical outcomes were ascertained, preventing the establishment of a relationship with observed practice patterns.

Conclusions

Based on the unsatisfying compliance with most guideline recommendations, we can conclude that the reliability of the PAM process in the Netherlands is suboptimal. Additionally, PAM varies between hospitals and different dosages of bridging anticoagulation are used due to suboptimal adjustments for patients’ weight. These findings confirm that standardised PAM is complex and not straightforward to implement in everyday practice. The observed non-compliance in many cases directly increases the risk of adverse events in individual patients.

Our study informs the development of process measures for PAM aimed at monitoring and quality improvement. Our PAM step approach can be used as a prelude to a future checklist for self-audits or standardisation of PAM documentation. However, several challenges have to be overcome also. Among these are: obtaining a stronger evidence base, reducing the knowledge to action gap and alignment of integrated care providers involved in PAM.

Table 3

Perioperative anticoagulant management (PAM) practice characteristics and compliance for preoperative steps

PAM step	Elective surgery (n=184)
1. Assess the patient at least 7 days before surgery
Valid records, n (%)	182 (98.9)
Time from preoperative assessment to surgery (days), median (IQR)	19 (8–37)
Compliance, % (95% CI)	80.8 (75.0 to 86.5)
2. Preoperative VKA withholding duration: Acenocoumarol: 3 days Phenprocoumon: 5 days
Valid records, n (%)	119 (64.7)
Withholding duration acenocoumarol (days), median (IQR)	3 (3–3)
<3 days, n (%)	13 (13.4)
3 days, n (%)	64 (66.0)
>3 days, n (%)	20 (20.6)
Withholding duration phenprocoumon (days), median (IQR)	5 (3–7)
<5 days, n (%)	9 (40.9)
5 days, n (%)	6 (27.3)
>5 days, n (%)	7 (31.8)
Compliance, % (95% CI)	58.8 (50.0 to 67.7)
3. Test INR preoperative on the day of surgery
Valid records, n (%)	184 (100)
Day of most recent preoperative INR test, n (%)
Surgery day	112 (60.9)
Day before surgery	50 (27.2)
Sooner/none	22 (12.0)
Preoperative INR on surgery day, median (IQR)	1.10 (1.00–1.28)
Preoperative INR on day before surgery, median (IQR)	1.20 (1.10–1.30)
Compliance, % (95% CI)	60.9 (53.8 to 67.9)
4. Apply or withhold preoperative bridging anticoagulation according to thromboembolic risk
Valid records, n (%)	157 (85.3)
Applied bridging per thromboembolic risk strata, n (%)
Low	18 (19.1)
Moderate	8 (38.1)
High	9 (50.0)
Unknown	12 (50.0)
Compliance, % (95% CI)*	79.7 (72.9 to 86.5)

Unless otherwise stated, all results are based on valid records only.

*Based on valid records and records with known thromboembolic risk.

INR, international normalised ratio; VKA, vitamin-K antagonist.

Table 4

Perioperative anticoagulant management (PAM) practice characteristics and compliance for postoperative steps

PAM step	Elective surgery (n=184)	Non-elective surgery (n=75)	P value*	Total (n=259)
5. Apply or withhold postoperative bridging anticoagulation according to thromboembolic risk
Valid records, n (%)	181 (98.4)	75 (100)	-	256 (98.8)
Applied bridging per thromboembolic risk strata, n (%)
Low	30 (29.4)	16 (48.5)	0.044	46 (34.1)
Moderate	16 (59.3)	6 (54.5)	0.79	22 (57.9)
High	12 (54.5)	7 (38.9)	0.32	19 (47.5)
Unknown	15 (50.0)	5 (38.5)	0.49	20 (46.5)
Compliance, % (95% CI)†	73.5 (66.5 to 80.5)	56.5 (44.1 to 68.8)	0.015	68.5 (62.3 to 74.8)
6. Restart bridging anticoagulation, if ordered, 24 hours after surgery. Restart after 12 hours is allowable for high thromboembolic risk patients‡
Applicable records (bridging used), n (%)	63 (36.8)	29 (42.0)		92 (38.3)
Valid records, n (%)	63 (100)	29 (100)		92 (100)
Day of postoperative bridging (re)start, median (IQR)	1 (0–1)	1 (1–2)	0.09	1 (0–1)
Surgery day, n (%)	20 (31.7)	6 (20.7)	-	26 (28.3)
First day after surgery, n (%)	34 (54.0)	14 (48.3)	-	48 (52.2)
Second day after surgery, n (%)	4 (6.3)	4 (13.8)	-	8 (8.7)
Third day after surgery or later, n (%)	5 (7.9)	5 (17.2)	-	10 (10.9)
Compliance, % (95% CI)	60.7 (48.4 to 72.9)§	51.7 (33.5 to 69.9)	0.42	57.8 (47.6 to 68.0)
7. Restart VKA 24 hours after surgery‡
Applicable records (VKA restarted), n (%)	161 (94.2)	66 (95.7)	-	227 (94.6)
Valid records, n (%)	136 (84.5)	62 (93.9)	-	198 (87.2)
Day of postoperative VKA restart: median (IQR)	1 (1–3)	2 (1–4)	0.14	2 (1–3)
Surgery day, n (%)	13 (9.6)	4 (6.5)	-	17 (8.6)
First day after surgery, n (%)	57 (41.9)	22 (35.5)	-	79 (39.9)
Second day after surgery, n (%)	18 (13.2)	8 (12.9)	-	26 (13.1)
Third day after surgery or later, n (%)	48 (35.3)	28 (45.2	-	76 (38.4)
Compliance, % (95% CI)	41.9 (33.6 to 50.2)	35.5 (23.6 to 47.4)	0.39	39.9 (33.1 to 46.7)

Unless otherwise stated, all results are based on valid and applicable records only.

*χ2 or Mann-Whitney U test between elective and non-elective surgery populations.

†Based on valid records and records with known thromboembolic risk.

‡Records of patients who underwent second surgery were omitted (elective surgery n=13, non-elective surgery n=6).

§Records of patients with unknown thromboembolic risk and bridging restart at surgery day (n=2) were omitted. Thromboembolic risk is required to determine compliance for these patients.

VKA, vitamin-K antagonist.