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The British Journal of Surgery logoLink to The British Journal of Surgery
. 2025 Mar 12;112(3):znaf019. doi: 10.1093/bjs/znaf019

Routine anaesthesia ward-based patient visits in surgery: 1-year outcomes of the TRACE randomized clinical trial

Valérie M Smit-Fun 1,b,c,, Dianne de Korte-de Boer 2, Thomas Damen 3, Annick Stolze 4, Linda M Posthuma 5, Markus W Hollmann 6, Wolfgang F F A Buhre 7; the TRACE Study Investigators Group
PMCID: PMC11897594  PMID: 40071336

Abstract

Background

The TRACE (Routine posTsuRgical Anaesthesia visit to improve patient outComE) RCT did not show any perioperative benefit from ward-based visits by anaesthetists after surgery. The aim of this study was to evaluate the impact of this intervention on longer-term outcomes.

Methods

Patients were followed up in the TRACE RCT to 1 year in nine hospitals in the Netherlands. Patients undergoing elective non-cardiac surgery, and at risk for adverse postoperative outcome, were included. Patients in the intervention group additionally received routine anaesthesia visits on postoperative days 1 and 3. Clinical outcome measures included 1-year mortality, hospital readmission, and reoperation. Functional recovery (FR) was measured using the patient-reported global surgical recovery (GSR) index, ability to perform activities of daily living (ADL), and functional recovery index (FRI). Quality of life (QoL) was measured using EQ-5D-5L.

Results

Some 5473 adult patients were followed up. No differences were found between the control and intervention groups for clinical, FR, and QoL outcome measures. One-year mortality was 5.4% in the control group and 5.8% in the intervention group, readmission was 27% and 26% respectively, and reoperation was 20% and 18% respectively. At 1 year, FR and QoL had recovered to preoperative levels. However, 30% of patients were not able to fully perform ADL and 40%–51% of patients still reported a problem in the EQ-5D-5L dimensions mobility, usual activities, and pain/discomfort.

Conclusion

Routine postoperative anaesthesia ward visits of patients did not improve clinical, functional, and QoL outcomes. A substantial proportion of patients still experienced health-related limitations in daily life 1 year after surgery. In conclusion, an early postoperative intervention with postoperative anaesthesia visits in the ward after non-cardiac surgery had no effect on 30-day or 1-year clinical outcome. Remarkably, TRACE shows that compared with data sampled 10 years ago, 1-year mortality has not improved in the Netherlands. At 1 year, functional recovery or QoL showed little improvement compared with baseline. Importantly, a substantial number of patients still reported incomplete recovery and problems that limit QoL, which indicate that there is still room for improvement.


One-year evaluation showed that routine postoperative anaesthesia visits did not have an impact on outcome regarding clinical outcome measures, functional recovery, or quality of life. However, important lessons learned are that, although 30-day mortality was drastically reduced in the past decade, 1-year mortality remained the same, suggesting non-surgical determinants of clinical outcome that need to be considered before surgery. Furthermore, after 1 year, a considerable percentage of patients have not fully recovered and still experience limitations in their activities of daily living and in studied dimensions of quality of life, suggesting much room for intensified and prolonged postoperative care.

Introduction

In perioperative medicine, prospective long-term studies on clinical and functional outcome after major surgery and in general surgical populations are scarce. Traditionally, clinical outcome measures such as postoperative complications, mortality, readmission, and reoperation are used to describe surgical patient outcome. More recently, studies increasingly focus on patient-centred outcome, such as patient-reported quality of life (QoL)1–3. Outcome after surgery is mostly studied in specific surgical patient populations, limiting generalizability to the general surgical population, and the follow-up intervals are often short4,5.

The authors performed the TRACE (Routine posTsuRgical Anaesthesia visit to improve patient outComE) study for which patients were randomly assigned to a control arm of routine care or an intervention group where patients were routinely visited after surgery on the ward by an anaesthetist4. The main outcome of the TRACE study was postoperative complications and mortality until 30 days after surgery. This has been published previously and demonstrated no difference between control and intervention arms, with an overall low 30-day mortality rate of 0.5% and a low incidence of failure to rescue5. The aim of this study was to evaluate the impact of postoperative ward visits by anaesthetists on patient outcomes during 1-year follow-up of the TRACE RCT.

Methods

Study design

A full description of the TRACE study was previously published4. Briefly, TRACE is a prospective, multicentre, stepped-wedge, cluster-randomized interventional study in patients who underwent non-cardiac surgery in nine academic and non-academic hospitals in the Netherlands. According to the stepped-wedge randomization, eligible patients were enrolled in either the control group or the intervention group. Patients in the control group received postoperative care as usual provided by the surgical ward team (nurses and physicians) and included daily visits by the ward team and retrieval of the Modified Early Warning Score (MEWS) three times a day. Patients in the intervention group received additional routine postoperative anaesthesia visits on days 1 and 3. Their clinical condition was evaluated with the aim to timely recognize patient deterioration and avoid complications and failure to rescue. Based on the anaesthetist’s findings recommendations were given for adjustments of care. Data on the number and nature of recommendations provided were previously published5.

Ethical approval was obtained from the Human Subjects Committee of Amsterdam UMC, location VUmc Amsterdam (NL56004.029.16). The study was registered in the Netherlands Trial Register (NTR5506). Patient inclusion and data registration was monitored by the Clinical Research Unit of the Amsterdam UMC.

Participants

Study participants were in-hospital non-cardiac surgical patients, who consented to the study and met one or more of the following criteria: age ≥60 years; age ≥45 years with a revised cardiac risk index (rCRI) >2; age ≥18 years with an indication for postoperative invasive pain therapy; and/or age ≥18 years with a postoperative Surgical Apgar Score (SAS) score <5. Patients with an indication for a postoperative ICU stay were excluded.

Outcome measures

TRACE is a study with a longitudinal follow-up until 1 year after surgery. Previously, short-term clinical outcome and QoL measures (for example mortality, complications, and EQ-5D-5L index) until 30 days were studied and reported5. For the present paper, clinical, functional recovery (FR), and QoL outcome measures were studied until 1 year. Although previously studied and reported5, relevant data from time points until 30 days after surgery were included in this 1-year study to present the full course of outcome measures from baseline until 1 year. Based on the absence of outcome differences between study groups at 30 days, earlier intended economic evaluation of the intervention at 1 year, as proposed in the trial protocol4, is not taken into account, as no cost-effectiveness benefit is expected. Descriptions and definitions of presented study outcome measures are given in the Supplementary material.

Data on patient survival until 1 year after surgery were collected from the hospital patient records and from the National Register of the Deceased. Data on hospital readmission, reoperations, FR, and QoL were collected from patient questionnaires at baseline and day 7, day 30, and 1 year after surgery.

To assess FR, three self-reported instruments were employed: the global surgical recovery (GSR) index6; the ability to perform activities of daily living (ADL); and the functional recovery index (FRI)7.

To assess QoL, the study was registered at EuroQol and the EQ-5D-5L questionnaire, including a visual analogue scale (EQ-5D-5L VAS), from which the EQ-5D-5L index score was calculated using the value set for the Dutch population, was used8.

Statistical analysis

Patient characteristics are described using mean(s.d.) or median (interquartile range (i.q.r.)) for continuous variables, depending on the distribution of the variable, and n (%) for categorical variables. The 1-year mortality was compared between groups using logistic mixed-effects regression analysis with a random intercept for hospital. Group differences were adjusted for time effects and baseline characteristics that differed between groups to a clinically meaningful extent. Given the study design, additional correction for type 1 error was not necessary. Secondary outcomes were tested between groups using linear or logistic mixed-effects regression, or non-parametric tests, depending on the distribution of the outcome, with a similar random-effects structure as for the primary outcome measure. Analyses were performed according to the intention-to-treat principle. All analyses were performed using SPSS® (IBM, Armonk, NY, USA; Statistics for Windows, version 28).

Patient and public involvement

Patient partners were not involved in the design and conduct of this study. Before initiation of the study, the study proposal was reviewed by the Dutch Patient and Consumers Federation (NPCF). They considered the study relevant and therefore supported the study. Additionally, the study was discussed with patients in collaboration with the Dutch Anaesthesia Society.

Results

Study population

A total of 5473 patients were included in the study. Of these, 5190 patients (2700 in the intervention group and 2490 in the control group) were eligible for analyses at 30 days after surgery. Between 30 days and 1 year after surgery, 57 patients withdrew informed consent, resulting in 5133 patients (2457 in the control group and 2676 in the intervention group) eligible for 1-year follow-up (Fig. 1). At baseline, day 7, day 30, and 1 year, 91.4%, 74.0%, 73.8%, and 68.2% of all questionnaires were (partially) completed (Fig. 1). Baseline patient and surgical data are presented in Table 1.

Fig. 1.

Fig. 1

Patient flow diagram

Table 1.

Baseline characteristics

  Control group (n = 2490) Intervention group (n = 2700) Total (n = 5190)
Age (years), median (i.q.r.) 67 (61–73) 67 (61–73) 67 (61–73)
Sex
 Female 1169 (47.0) 1300 (48.1) 2469 (47.6)
 BMI (kg/m2), median (i.q.r.) 27 (24–31) 27 (24–31) 27 (24–31)
 Activity level (MET score <4) 151 (6.1) 155 (5.7) 306 (5.9)
Functional status
 Independent 2278 (91.5) 2484 (92.0) 4762 (91.8)
 Partially independent 173 (7.0) 209 (7.7) 382 (7.4)
 Totally dependent 9 (0.4) 7 (0.3) 16 (0.3)
 Unknown 30 (1.2) 0 (0.0) 30 (0.6)
ASA classification
 I 231 (9.3) 232 (8.6) 463 (8.9)
 II 1536 (61.7) 1627 (60.3) 3163 (60.9)
 III 697 (28.0) 803 (29.7) 1500 (28.9)
 IV 23 (0.9) 37 (1.4) 60 (1.2)
 Unknown 3 (0.1) 1 (0.0) 4 (0.1)
Co-morbid disorders
 Active cancer 945 (38.0) 1153 (42.7) 2098 (40.4)
 Hypertension 1131 (45.4) 1187 (44.0) 2318 (44.7)
 Cardiovascular disease 654 (26.3) 706 (26.1) 1360 (26.2)
 Cerebrovascular disease 181 (7.3) 196 (7.3) 377 (7.3)
 Diabetes mellitus 381 (15.3) 411 (15.2) 792 (15.3)
 Pulmonary disease 256 (10.3) 283 (10.5) 539 (10.4)
 Renal failure 190 (7.6) 351 (13.0) 541 (10.4)
Type of surgery*
 Ear, nose, and throat 76 (3.1) 96 (3.6) 172 (3.3)
 Gastrointestinal or liver 749 (30.1) 902 (33.4) 1651 (31.8)
 Gynaecological 204 (8.2) 204 (7.6) 408 (7.9)
 Orthopaedic, arthroplasty, and spine 479 (19.2) 473 (17.5) 952 (18.3)
 Thoracic 108 (4.3) 117 (4.3) 225 (4.3)
 Urological 442 (17.8) 457 (16.9) 899 (17.3)
 Vascular 168 (6.7) 207 (7.7) 375 (7.2)
 Other 348 (14.0) 283 (10.5) 631 (12.2)
Grade of surgery†
 High-risk surgery 1085 (43.6) 1105 (40.9) 2190 (42.2)

Values are n (%) unless otherwise indicated. *Some patients may have had more than one type of surgery. †According to the revised cardiac risk index (intraperitoneal, intrathoracic, or suprainguinal vascular surgery). i.q.r., interquartile range; MET, metabolic equivalent of task.

Anaesthesia recommendations

Postoperative recommendations were given for 437 patients (16.2%) on day 1 and 293 patients (10.9%) on day 3. The subgroup of patients for which any advice was given on day 1 or 3 consists of 582 patients (21.6%). The majority of recommendations consisted of optimization of pain therapy (28% of the provided advice on day 1 and 23% on day 3), adjustment of medication (15% and 16%), or adherence to elements of the enhanced recovery after surgery guidelines (40% and 42%). Of all, recommendations were followed in 67% of cases on day 1 and in 69% on day 3.

Mortality

At 1 year after surgery, 289 patients (5.6%) had died—133 patients (5.4%) in the control group and 156 patients (5.8%) in the intervention group (adjusted OR 0.98 (95% c.i. 0.74 to 1.31), P = 0.897) (Table S1). Of the 289 deceased patients, 221 (76.5%) were known to have cancer at baseline; this proportion was not significantly different between groups (73.7% in the control group and 78.8% in the intervention group; P = 0.302).

Readmission and reoperation

Within 1 year after surgery, 450 patients (26.6%) in the control group and 413 patients (25.7%) in the intervention group were readmitted to the hospital (adjusted OR 0.91 (95% c.i. 0.75 to 1.10), P = 0.305). In the control group, 347 patients (20.5%) required reoperation, whereas 292 patients (18.1%) in the intervention group were reoperated on within 1 year after surgery (adjusted OR 0.83 (95% c.i. 0.68 to 1.02), P = 0.074) (Table S1). The overall readmission rate was 26.2% and the overall reoperation rate was 19.3%.

FR

GSR index

The median GSR index increased over time without a difference between groups. At postoperative day 7 the median GSR index was 60% in both groups (P = 0.941), at 30 days it was 75% in both groups (P = 0.189), and at 1 year it was 90% in the control group and 95% in the intervention group (P = 0.327) (Table S2 and Fig. S1). Before surgery, the patients’ median expected GSR index was 60% in the control group and 50% in the intervention group for day 7 after surgery (P = 0.551) and 85% in the control and 90% in the intervention group for day 30 after surgery (P = 0.293) (Table S2).

ADL

The proportion of patients feeling capable of completely performing their daily activities was 16.6% in the control group and 13.7% in the intervention group (adjusted OR 0.74 (c.i. 0.60 to 0.92), P = 0.007) at day 7 after surgery, 34.8% and 32.9% respectively (adjusted OR 0.91 (c.i. 0.76 to 1.09), P = 0.302) at day 30 after surgery, and 68.4% and 69.8% respectively (adjusted OR 1.07 (c.i. 0.89 to 1.30), P = 0.466) at 1 year after surgery (Table S3 and Fig. S1).

FRI

Table S4a ,b and Fig. S2 display FRI scores from baseline until 1 year after surgery per study group. The table includes overall FRI scores, scores per domain, and the percentage of patients with a score ≥1 (experiencing at least some difficulty in the given domain). The latter is also displayed in Fig. S3. Until 1 year, the overall median FRI scores were 16 in the control group and 18 in the intervention group at baseline (P = 0.882), 64 and 68 respectively at day 7 (P = 0.299), 33 in both groups at day 30 (P = 0.684), and 11 in both groups at 1 year (P = 0.649). There were no significant differences between groups at any time point. Until 1 year, the proportion of patients having at least some problem showed the same pattern over time, with worse scores at day 7 and with 1-year scores comparable to baseline. Remarkably, at 1 year at least 69.0% of patients reported a functional limitation.

QoL

EQ-5D-5L index

The median EQ-5D-5L index score for the control group and the intervention group was 0.82 (i.q.r. 0.62–0.91) versus 0.82 (i.q.r. 0.66–0.91) at baseline, 0.74 (i.q.r. 0.58–0.85) versus 0.74 (i.q.r. 0.60–0.85) at day 7, 0.81 (i.q.r. 0.70–0.89) versus 0.81 (i.q.r. 0.70–0.89) at day 30, and 0.86 (i.q.r. 0.74–1.00) versus 0.88 (i.q.r. 0.75–1.00) at 1 year. None of these scores differed significantly between groups (Table S5).

EQ-5D-5L VAS

The median EQ-5D-5L VAS for the control group and the intervention group was 75 (i.q.r. 60–88) versus 75 (i.q.r. 60–90) at baseline, 70 (i.q.r. 50–80) versus 70 (i.q.r. 50–80) at day 7, 75 (i.q.r. 60–85) versus 75 (i.q.r. 60–86) at day 30, and 80 (i.q.r. 70–90) versus 80 (i.q.r. 70–90) at 1 year (Fig. 2). Overall, QoL was not significantly different between the control group and the intervention group at any time point. The EQ-5D-5L index and EQ-5D-5L VAS followed the same pattern (Fig. 2), suggesting internal consistency.

Fig. 2.

Fig. 2

EQ-5D-5L VAS and EQ-5D-5L index for the control and intervention groups

VAS, visual analogue scale.

EQ-5D-5L dimensions

Fig. 3 and Table S6 display the proportion of patients reporting a problem in the EQ-5D-5L dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) at several time points from baseline until 1 year after surgery. In all dimensions, except for anxiety/depression, this proportion is highest at day 7. Compared with baseline, patients scored better at 1 year in all dimensions, but still 40% of patients experienced problems with mobility, 14% with self-care, 45% with usual activities, 51% with pain/discomfort, and 24% with anxiety/depression.

Fig. 3.

Fig. 3

Percentage of patients reporting a problem within EQ-5D-5L dimensions from baseline up to 1 year after surgery

Reporting a problem was defined as an EQ-5D-5L dimension response of ≥2.

Post-hoc subgroup analyses of patients in the intervention group with recommendations

In post-hoc analyses within the intervention group, outcome measures were compared between the subgroup of patients for which any advice was given on day 1 or 3 (582 patients (21.6%)) and the subgroup for which no recommendations were given (2118 patients (78.4%)). At baseline, patients with recommendations were slightly older, more likely to be female, more likely to have a metabolic equivalent of task (MET) score <4, less likely to be functionally independent, more likely to have hypertension, cardiovascular disease, and diabetes, and more likely to have undergone high-risk surgery (Table S7). The incidence of mortality after 1 year was higher in the subgroup of patients for whom a recommendation was given: 43 (7.5%) died compared with 113 (5.4%) of patients in the intervention group for whom no recommendation was given. Furthermore, a higher proportion of patients for whom a recommendation was given was readmitted to the hospital within 30 days and more reoperations occurred in this group of patients. With respect to patient-reported outcomes, the subgroup of patients with recommendations had poorer outcomes regarding the GSR index on day 7, day 30, and 1 year, and a lower proportion of patients in this subgroup reported being able to perform ADL on day 7, day 30, and 1 year. In addition, patients for whom recommendations were given had higher median FRI sum scores on day 7, day 30, and 1 year, indicating less functional independence, and lower median EQ-5D-5L index scores on day 7, day 30, and 1 year, indicating lower QoL (Table S8).

Discussion

The TRACE study evaluated the effect of postoperative anaesthesia visits on clinical outcome, FR, and QoL in patients undergoing elective non-cardiac surgery. At 1 year after surgery, no significant effect of the anaesthesia visit was detected on these outcome measures.

The 1-year postsurgical mortality (overall 5.6%) is on the low end of reported mortality rates from other studies in high-income countries (4.8–17.6%)9–12 and is similar to Dutch mortality data presented in 201213. This is striking, because 30-day mortality in TRACE was substantially lower than previously reported (TRACE 0.5% versus 2% in 2012)5,13–15. Independent of a low 30-day mortality, long-term postsurgical mortality has not improved within the last ten years in the Netherlands. Probably, the main factors contributing to 1-year postsurgical mortality are patient and disease related, and not (or less so) surgery related16–20.

The 1-year readmission rates are comparable to earlier data21. In the present study, the reported reoperation rate (overall rate of 19.3%) is comparable to the average reported rates in specific surgical patient cohorts (7.4–35.4%)22–27. Data from general surgical populations are not available. Approximately 66% of readmissions occur within 30 days after surgery28,29. Thereafter, the direct relation between readmission and index surgery decreases29,30. It is therefore likely that the majority of readmissions and reoperations in the TRACE population between 30 days and 1 year are not directly related to the index operation.

TRACE presents several dimensions of FR, whereas most previous studies focused on recovery of physical functioning, which is only part of what patients consider important in their recovery30–32. For QoL, the dimensions are also presented besides the EQ-5D-5L index.

Both FR and QoL show similar patterns of decline and recovery, but with different timelines. At 1 week after surgery, patients showed severe functional decline, with patients reporting to feel approximately 60% recovered according to the GSR index and only 15% of patients were able to fully perform their ADL. Looking at the expected GSR index, the FR was considerably lower than patients’ preoperative level of expectation for day 30 after surgery. The FRI was only comparable to baseline at 1 year after surgery. The findings of the present study, that approximately 30% of patients report functional limitations in at least one FRI dimension at 1 year, with approximately 30% of patients not being able to fully perform ADL, correspond with findings of previous studies30,32.

In line with FR, QoL showed limited improvement. At 30 days, EQ-5D-5L VAS and the EQ-5D-5L index showed a return to at least preoperative values. At 1 year, the difference between the median EQ-5D-5L index scores at 1 year and baseline was 0.04 and 0.06 for the control group and the intervention group respectively. This is lower than the minimally important difference (MID) of 0.08 in comparable European countries33 and thus suggests no overall benefit of surgery on QoL at group level. In line, a substantial percentage of patients still reports problems in their QoL, and EQ-5D-5L VAS suggests that patients had only improved to three-quarters of their best imaginable health state at 1 year.

In view of FR and QoL, TRACE shows that patients perceive a faster recovery of QoL than of FR and that surgery often does not result in full FR or full recovery of QoL. The reported limited recovery seems contrary to patients’ and surgeons’ expectations. This discrepancy could be explained by patients’ preoperative expectancy of complete recovery and the resulting postoperative health status of which the latter is more concordant with surgeons’ expectations34,35. This calls for surgeons and anaesthetists to invest in fully understanding patients’ needs and expectations and in methods to improve preoperative counselling36,37. Further studies are needed to determine which patients are prone to incomplete recovery, what the limiting factors are, whether further improvement is feasible, and what measures are needed to further improve recovery in this population. Potential interventions could be close monitoring and intensified patient follow-up after hospital discharge, prolonged pain monitoring and management, and interventions like extended physiotherapy and nutritional support in the interval after surgery. The suggested study information could aid in better preoperative patient information and expectations, decision support regarding the choice of treatment, and so in better QoL and use of healthcare resources.

The EQ-5D-5L dimension anxiety/depression shows a different time pattern, with a peak in reported problems before surgery instead of after surgery. This is most likely related to preoperative surgical anxiety. It shows that this measurement is sensitive to a life event such as an imminent surgical procedure, leading to underestimation of QoL at baseline.

The results of the post-hoc subgroup analyses show that the subgroup of patients for whom recommendations were given involved patients with poorer preoperative status and poorer postoperative recovery compared with patients in the intervention group without recommendations. Likely, the anaesthetists performing the visits had appropriately identified a more vulnerable subpopulation that was at increased risk of poorer surgical outcome and adequately foresaw the need for closer monitoring, follow-up, and intensified (collaborative) postoperative care. Whether or not more strict following of recommendations would have resulted in better postoperative outcomes remains unknown.

The data from TRACE on FR and return of QoL could be used for patient education and setting expectations, but is also important to direct future research towards improving value of care. The authors therefore recommend including these data in future studies.

TRACE provided outcome data over the first 30 days and at 1 year after surgery, but not at the intermediate time point (3–6 months), limiting the understanding of the time between 30 days and 1 year, and possibly allowing recall bias in the self-reported evaluation at 1 year. Specifically, information on readmission and reoperation until 1 year after surgery was only patient reported and could not always be verified by the researchers. As could be expected in prospective studies with a prolonged follow-up, there was a substantial rate of incomplete questionnaire data (31.8%) at 1 year. Although slightly more questionnaire data were missing in the intervention group compared with the control group after 1 year, the authors see no reason for a systematic cause of missingness and therefore assume no bias was introduced in the comparison between the study arms. However, generalizability of results may be hampered, because typically loss to follow-up occurs in the very sick, who are not able to complete the questionnaire, and in the relatively healthy participants, who have other priorities, for example because they have returned to work.

Collaborators

The TRACE Study Investigators Group: C. Boer (Amsterdam University Medical Centre, Amsterdam, The Netherlands); S. van Kuijk (Maastricht University Medical Centre +, Maastricht, The Netherlands, Maastricht University, Maastricht, The Netherlands); P. G. Noordzij (St. Antonius Hospital, Nieuwegein, The Netherlands); M. Rinia (Rijnstate Hospital, Arnhem, The Netherlands); J. P. Hering (Dijklander Hospital, Hoorn, The Netherlands); B. in ’t Veld (Medical Centre Haaglanden, The Hague, The Netherlands); G. J. Scheffer (Radboud University Medical Centre, Nijmegen, The Netherlands); J. S. Breel (Amsterdam University Medical Centre, Amsterdam, The Netherlands); T. Bouw (Maastricht University Medical Centre +, Maastricht, The Netherlands); F. van Dijk (Rijnstate Hospital, Arnhem, The Netherlands); J. Geurts (Rijnstate Hospital, Arnhem, The Netherlands); W. Glas (Dijklander Hospital, Hoorn, The Netherlands); R van Gorp (Maastricht University Medical Centre +, Maastricht, The Netherlands); A. Jwair (Amsterdam University Medical Centre, Amsterdam, The Netherlands); F. Koca (Amsterdam University Medical Centre, Amsterdam, The Netherlands); I. Lange (St. Antonius Hospital, Nieuwegein, The Netherlands); B. Preckel (Amsterdam University Medical Centre, Amsterdam, The Netherlands); J. P. van Roy (Dijklander Hospital, Hoorn, The Netherlands); M. Theunissen (Maastricht University Medical Centre +, Maastricht, The Netherlands); A. G. C. L. Wensing (Amsterdam University Medical Centre, Amsterdam, The Netherlands); A Werger (Medical Centre Haaglanden, The Hague, The Netherlands)

Supplementary Material

znaf019_Supplementary_Data

Acknowledgements

The authors thank the Dutch Organisation for knowledge and innovation in health, healthcare and well-being (ZonMw), the Nederlandse Vereniging voor Anesthesiologie (NVA), and the individual participating medical centres.

Contributor Information

Valérie M Smit-Fun, Department of Anaesthesia and Pain Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands.

Dianne de Korte-de Boer, Department of Anaesthesia and Pain Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands.

Thomas Damen, Department of Anaesthesia and Pain Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands.

Annick Stolze, Department of Anaesthesia, Amsterdam University Medical Centre, Amsterdam, The Netherlands.

Linda M Posthuma, Department of Anaesthesia and Intensive Care, Albert Schweitzer Hospital, Dordrecht, The Netherlands.

Markus W Hollmann, Department of Anaesthesia, Amsterdam University Medical Centre, Amsterdam, The Netherlands.

Wolfgang F F A Buhre, Department of Anaesthesia, University Medical Centre Utrecht, Utrecht, The Netherlands.

the TRACE Study Investigators Group:

C Boer, S van Kuijk, P G Noordzij, M Rinia, J P Hering, B in ’t Veld, G J Scheffer, J S Breel, T Bouw, F van Dijk, J Geurts, W Glas, R van Gorp, A Jwair, F Koca, I Lange, B Preckel, J P van Roy, M Theunissen, A G C L Wensing, and A Werger

Funding

This study is funded by the Dutch Organisation for knowledge and innovation in health, healthcare and well-being (ZonMw) (no. 837004020), the Nederlandse Vereniging voor Anesthesiologie (NVA), and the individual participating medical centres. The TRACE study is also supported by a grant from the European Society of Anaesthesiology (ESA). It is furthermore supported by the Nederlandse Vereniging voor Heelkunde (NVvH) and the umbrella organization of nine health insurers in the Netherlands, Zorgverzekeraars Nederland (ZN).

Author contributions

Valérie M. Smit-Fun (Conceptualization, Investigation, Writing—original draft, Writing—review & editing), Dianne de Korte-de Boer (Data curation, Formal analysis, Investigation, Methodology, Validation, Writing—review & editing), Thomas Damen (Formal analysis, Visualization), Annick Stolze (Data curation, Investigation, Writing—review & editing), Linda M. Posthuma (Data curation, Investigation, Writing—review & editing), Markus W. Hollmann (Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing—review & editing), Wolfgang F. F. A. Buhre (Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing—review & editing), and the TRACE Study Investigators Group (Investigation)

Disclosure

M.W.H. reports grants from the Dutch Organisation for knowledge and innovation in health, healthcare and well-being (ZonMw) and Zorgverzekeraars Nederland (ZN), grants from the Nederlandse Vereniging voor Anesthesiologie (NVA), and grants from the European Society of Anaesthesiology and Intensive Care (ESAIC), during the conduct of the study, he is Executive Section Editor for Pharmacology for Anesthesia & Analgesia, Section Editor for Anaesthesiology for the Journal of Clinical Medicine, and Editor for Frontiers in Physiology, and he has received grants from, honoraria for lectures from, and is an advisory board member for PAION, Medical Development, and IDD Pharma, outside the submitted work. B.i.V. is a consultant for Bridion and MSD, outside the submitted work. W.F.F.A.B. reports grants from the Dutch Organisation for knowledge and innovation in health, healthcare and well-being ZonMw, the European Society of Anaesthesiology and Intensive Care (ESAIC), the European Union, and InterReg EU, his department has received funding from Medtronic, Becton Dickinson (BD), and Fresenius Kabi, and he acts as a consultant for Medtronic. The authors declare no other conflict of interest.

Supplementary material

Supplementary material is available at BJS online.

Data availability

Data collected for the study, including deidentified individual participant data that underlie the results reported in this article (text, tables, and figures), to achieve the aims in the approved proposal will be made available to researchers who provide a methodologically sound proposal to the corresponding author with a signed data access agreement, beginning 3 months and ending 5 years following article publication.

References

  • 1. Fried  TR, Bradley  EH, Towle  VR, Allore  H. Understanding the treatment preferences of seriously ill patients. N Engl J Med  2002;346:1061–1066 [DOI] [PubMed] [Google Scholar]
  • 2. Wrenn  SM, Cepeda-Benito  A, Ramos-Valadez  DI, Cataldo  PA.  Patient perceptions and quality of life after colon and rectal surgery: what do patients really want?  Dis Colon Rectum  2018;61:971–978 [DOI] [PubMed] [Google Scholar]
  • 3. Sikder  T, Sourial  N, Maimon  G, Tahiri  M, Teasdale  D, Bergman  H  et al.  Postoperative recovery in frail, pre-frail, and non-frail elderly patients following abdominal surgery. World J Surg  2019;43:415–424 [DOI] [PubMed] [Google Scholar]
  • 4. Smit-Fun  VM, De Korte-De Boer  D, Posthuma  LM, Stolze  A, Dirksen  CD, Hollmann  MW  et al.  TRACE (Routine posTsuRgical Anesthesia visit to improve patient outComE): a prospective, multicenter, stepped-wedge, cluster-randomized interventional study. Trials  2018;19:586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Buhre  WFFA, De Korte-De Boer  D, Boer  C  et al.  Routine postsurgical anesthesia visit to improve 30-day morbidity and mortality: a multicenter, stepped-wedge cluster randomized interventional study (the TRACE study). Ann Surg  2023;277:375–380 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Kleinbeck  SV.  Self-reported at-home postoperative recovery. Res Nurs Health  2000;23:461–472 [DOI] [PubMed] [Google Scholar]
  • 7. Wong  J, Tong  D, de Silva  Y, Abrishami  A, Chung  F. Development of the functional recovery index for ambulatory surgery and anesthesia. Anesthesiology  2009;110:596–602 [DOI] [PubMed] [Google Scholar]
  • 8. Versteegh  MM, Vermeulen  KM, Evers  SMAA, de Wit  GA, Prenger  R, Stolk  EA. Dutch tariff for the five-level version of EQ-5D. Value Health  2016; 19:343–352 [DOI] [PubMed] [Google Scholar]
  • 9. McIsaac  DI, Jen  T, Mookerji  N, Patel  A, Lalu  MM. Interventions to improve the outcomes of frail people having surgery: a systematic review. PLoS One  2017;12:e0190071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Smith  T, Li  X, Nylander  W, Gunnar  W. Thirty-day postoperative mortality risk estimates and 1-year survival in Veterans Health Administration surgery patients. JAMA Surg  2016;151:417–422 [DOI] [PubMed] [Google Scholar]
  • 11. Myles  PS, Bellomo  R, Corcoran  T, Forbes  A, Peyton  P, Story  D  et al.  Restrictive versus liberal fluid therapy for major abdominal surgery. N Engl J Med  2018;378:2263–2274 [DOI] [PubMed] [Google Scholar]
  • 12. Short  TG, Campbell  D, Frampton  C, Chan  MTV, Myles  PS, Corcoran  TB  et al.  Anaesthetic depth and complications after major surgery: an international, randomised controlled trial. Lancet  2019;394:1907–1914 [DOI] [PubMed] [Google Scholar]
  • 13. Bijker  JB, van Klei  WA, Vergouwe  Y, Eleveld  DJ, van Wolfswinkel  L, Moons  KGM  et al.  Intraoperative hypotension and 1-year mortality after noncardiac surgery. Anesthesiology  2009;111:1217–1226 [DOI] [PubMed] [Google Scholar]
  • 14. Noordzij  PG, Poldermans  D, Schouten  O, Bax  JJ, Schreiner  FAG, Boersma  E. Postoperative mortality in The Netherlands: a population-based analysis of surgery-specific risk in adults. Anesthesiology  2010;112:1105–1115 [DOI] [PubMed] [Google Scholar]
  • 15. van Klei  WA, Hoff  RG, van Aarnhem  EEHL, Simmermacher  RKJ, Regli  LPE, Kappen  TH  et al.  Effects of the introduction of the WHO ‘surgical safety checklist’ on in-hospital mortality: a cohort study. Ann Surg  2012;255:44–49 [DOI] [PubMed] [Google Scholar]
  • 16. Araiza-Nava  B, Méndez-Sánchez  L, Clark  P, Peralta-Pedrero  ML, Javaid  MK, Calo  M  et al.  Short- and long-term prognostic factors associated with functional recovery in elderly patients with hip fracture: a systematic review. Osteoporos Int  2022;33:1429–1444 [DOI] [PubMed] [Google Scholar]
  • 17. Li  JL, Henderson  MA, Revenig  LM, Sweeney  JF, Kooby  DA, Maithel  SK  et al.  Frailty and one-year mortality in major intra-abdominal operations. J Surg Res  2016;203:507–512.e1 [DOI] [PubMed] [Google Scholar]
  • 18. Stern  JR, Wong  CK, Yerovinkina  M, Spindler  SJ, See  AS, Panjaki  S  et al.  A meta-analysis of long-term mortality and associated risk factors following lower extremity amputation. Ann Vasc Surg  2017;42:322–327 [DOI] [PubMed] [Google Scholar]
  • 19. Roule  V, Verdier  L, Blanchart  K, Ardouin  P, Lemaitre  A, Bignon  M  et al.  Systematic review and meta-analysis of the prognostic impact of cancer among patients with acute coronary syndrome and/or percutaneous coronary intervention. BMC Cardiovasc Disord  2020;20:38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Fowler  AJ, Wahedally  MAH, Abbott  TEF, Smuk  M, Prowle  JR, Pearse  RM  et al.  Death after surgery among patients with chronic disease: prospective study of routinely collected data in the English NHS. Br J Anaesth  2022;128:333–342 [DOI] [PubMed] [Google Scholar]
  • 21. Kim  Y, Ejaz  A, Xu  L, Gani  F, Canner  JK, Schneider  EB  et al.  Understanding recurrent readmission after major surgery among patients with employer-provided health insurance. Am J Surg  2016;212:305–314.e2 [DOI] [PubMed] [Google Scholar]
  • 22. Rienmüller  AC, Krieg  SM, Schmidt  FA, Meyer  EL, Meyer  B. Reoperation rates and risk factors for revision 4 years after dynamic stabilization of the lumbar spine. Spine J  2019;19:113–120 [DOI] [PubMed] [Google Scholar]
  • 23. Quintana  JM, Antón-Ladisla  A, González  N, Lázaro  S, Baré  M, Fernández de Larrea  N  et al.  Outcomes of open versus laparoscopic surgery in patients with colon cancer. Eur J Surg Oncol  2018;44:1344–1353 [DOI] [PubMed] [Google Scholar]
  • 24. Passias  PG, Klineberg  EO, Jalai  CM, Worley  N, Poorman  GW, Line  B  et al.  Hospital readmission within 2 years following adult thoracolumbar spinal deformity surgery: prevalence, predictors, and effect on patient-derived outcome measures. Spine (Phila Pa 1976)  2016;41:1355–1364 [DOI] [PubMed] [Google Scholar]
  • 25. Rios-Diaz  AJ, Cunning  JR, Broach  RB, Metcalfe  D, Elfanagely  O, Serletti  JM  et al.  One-year health care utilization and recurrence after incisional hernia repair in the United States: a population-based study using the nationwide readmission database. J Surg Res  2020;255:267–276 [DOI] [PubMed] [Google Scholar]
  • 26. Scheer  JK, Tang  JA, Smith  JS, Klineberg  E, Hart  RA, Mundis  GM  et al.  Reoperation rates and impact on outcome in a large, prospective, multicenter, adult spinal deformity database. J Neurosurg Spine  2013;19:464–470 [DOI] [PubMed] [Google Scholar]
  • 27. Núñez-Pereira  S, Vila-Casademunt  A, Domingo-Sàbat  M, Bagó  J, Acaroglu  ER, Alanay  A  et al.  Impact of early unanticipated revision surgery on health-related quality of life after adult spinal deformity surgery. Spine J  2018;18:926–934 [DOI] [PubMed] [Google Scholar]
  • 28. Kim  Y, Gani  F, Lucas  DJ, Ejaz  A, Spolverato  G, Canner  JK  et al.  Early versus late readmission after surgery among patients with employer-provided health insurance. Ann Surg  2015;262:502–511 [DOI] [PubMed] [Google Scholar]
  • 29. Kumar  N, Thomas  A, Madhu  S, Ramos  MRD, Shen  L, Tan  JYH  et al.  Analysis of unplanned hospital readmissions up to 2-years after metastatic spine tumour surgery. Eur Spine J  2021;30:2887–2895 [DOI] [PubMed] [Google Scholar]
  • 30. Kristiansen  P, Oreskov  JO, Ekeloef  S, Gögenur  I, Burcharth  J. Patient perceptive focus on recovery: an exploratory study on follow-up after major emergency abdominal surgery. Acta Anaesthesiol Scand  2021;65:1259–1266 [DOI] [PubMed] [Google Scholar]
  • 31. Thiels  CA, Hanson  KT, Mathis  KL, Novotny  PJ, Truty  MJ, Sloan  JA  et al.  Prospective longitudinal cohort study of patient recovery after major gastrointestinal surgery: is there a difference between minimally invasive and open approaches?  Surg Endosc  2020;34:3126–3134 [DOI] [PubMed] [Google Scholar]
  • 32. Ladha  KS, Cuthbertson  BH, Abbott  TEF, Pearse  RM, Wijeysundera  DN. Functional decline after major elective non-cardiac surgery: a multicentre prospective cohort study. Anaesthesia  2021;76:1593–1599 [DOI] [PubMed] [Google Scholar]
  • 33. Henry  EB, Barry  LE, Hobbins  AP, McClure  NS, O’Neill  C. Estimation of an instrument-defined minimally important difference in EQ-5D-5L index scores based on scoring algorithms derived using the EQ-VT version 2 valuation protocols. Value Health  2020;23:936–944 [DOI] [PubMed] [Google Scholar]
  • 34. Peters  CML, de Vries  J, Lodder  P, Steunenberg  SL, Veen  EJ, de Groot  HGW  et al.  Quality of life and not health status improves after major amputation in the elderly critical limb ischaemia patient. Eur J Vasc Endovasc Surg  2019;57:547–553 [DOI] [PubMed] [Google Scholar]
  • 35. Mancuso  CA, Duculan  R, Cammisa  FP, Sama  AA., Hughes  AP, Lebl  DR  et al.  Concordance between patients’ and surgeons’ expectations of lumbar surgery. Spine (Phila Pa 1976)  2021;46:249–258 [DOI] [PubMed] [Google Scholar]
  • 36. Ghomrawi  HMK, Mancuso  CA, Dunning  A, Gonzalez  DVA, Alexiades  M, Cornell  C  et al.  Do surgeon expectations predict clinically important improvements in WOMAC scores after THA and TKA?  Clin Orthop Relat Res  2017;475:2150–2158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Lawrence  C, Zmistowski  BM, Lazarus  M, Abboud  J, Williams  G, Namdari  S. Expectations of shoulder surgery are not altered by surgeon counseling of the patient. Joints  2017;5:133–137 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

znaf019_Supplementary_Data

Data Availability Statement

Data collected for the study, including deidentified individual participant data that underlie the results reported in this article (text, tables, and figures), to achieve the aims in the approved proposal will be made available to researchers who provide a methodologically sound proposal to the corresponding author with a signed data access agreement, beginning 3 months and ending 5 years following article publication.


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