A systematic review and meta-analysis of the correlation between operation time and postoperative delirium in total hip arthroplasty
Introduction
With the growth of the elderly population worldwide, age-related diseases have also shown an increasing trend. Hip fracture and osteonecrosis of the femoral head are common diseases in the elderly, which seriously affect mobility and reduce their quality of life (1). Total hip arthroplasty (THA) is an effective treatment for advanced hip joint disease, which can replace the necrotic hip joint, reduce joint pain, and reinstate the patient’s mobility (2). However, due to the insufficient physical tolerance of the elderly to surgery and anesthesia, post-operative cognitive and psychology-related complications are likely to occur (3). Delirium is a common postoperative complication of THA, which can suddenly develop in a short period of time, and patients experience complex and diverse mental symptoms such as disordered perception, emotion, consciousness, and orientation, which prolong the length of hospital stay and increase patient mortality (4). The occurrence of postoperative delirium may be associated with various factors such as age, gender, surgical approach, anesthesia, pain, history of stroke, and hypertension, some scholars consider patients with ASA grades ≥3 before operation will increase the risk of post delirium tremendously (5). The elderly body has a weakened ability to cope with stressors, and therefore excessively long surgery may diminish compensation due to increased body stimulation (6). At present, there is no systematic review about the correlation between operation time and the occurrence of delirium after THA surgery. In this study, the correlation between the two was systematically evaluated under the guidance of evidence-based medicine. We present the following article in accordance with the PRISMA reporting checklist (available at https://dx.doi.org/10.21037/apm-21-2190).
Methods
Search strategy
The PubMed and SpringerLink databases were searched for studies published since 2010 using the keywords: “postoperative delirium” AND “total hip arthroplasty” AND “risk factors”, or “factors” AND “THA” AND “postoperative delirium”, or “factors” AND “delirium” AND “arthroplasty”, or “surgery duration” AND “postoperative delirium” AND “THA”, or “predictors” AND “delirium” AND “arthroplasty”.
Inclusion criteria
Literature type
Case-control studies published in English on factors related to delirium after THA, and all were retrospective analyses.
Participants
(I) Elderly patients aged >60 years who were diagnosed with femoral neck fracture or avascular necrosis of the femoral head, without fractures at other sites; (II) all patients needed the replacement surgery and underwent elective unilateral (or bilateral) THA; (III) all patients had no preoperative cognitive impairment, mental disorders, and normal language and hearing function; (IV) postoperative delirium symptoms: patients with confusion, disordered speech, and agitation 1–3 d after operation, delirium assessment tools were Confusion Assessment Method (CAM) or Delirium Rating Scale (DRS) or Nursing Delirium Screening Scale (NU-DESC) or Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV); (V) the study allocated participants to a delirium group and non-delirium group for comparative study, and the evaluation indicators included the comparison of operation time of different groups, which were expressed as mean ± standard deviation (SD).
Exclusion criteria
Studies were excluded if they met any of the following criteria: (I) analysis combined with other cases (such as total knee or joint arthroplasty, etc.); (II) interventional studies, without review of grouping method and index statistics, case, investigation, systematic review, experience summary, or report literatures; (III) series report, cohort report, discontinuous sequence report, or cross-sectional report of a non-case-control study.
Literature screening and data extraction
Literature retrieval, screening, quality evaluation, and data screening were conducted by two researchers at the same time. The quantity of studies retrieved from different databases was statistically analyzed. All literatures were de-duplicated. After reading the abstract for primary screening, the full text was read and continued to be screened. The quality of the remaining studies, including participant selection, comparability and outcome indicators, was assessed using the Newcastle-Ottawa scale (NOS) (7). The maximum score was 10 stars: studies with more than 5 stars were deemed high-quality, and those with low scores were excluded. Relevant data were extracted and tabulated (Figure 1).
Data items
The number of delirium patients and their operation time, and the number of patients without delirium and their operation time were obtained from each study. General characteristics including year of publication, research area, sample size, gender ratio, average age of participants, delirium evaluation tool, and so on were obtained.
Statistical methods
The software RevMan 5.3.5 (Review Manager, Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2014) was used for statistical analysis. All the studies with complete data were included in the meta-analysis. The incidence of delirium was expressed as the number of cases, and the operation time was expressed as the mean and SD. Heterogeneity was assessed using I2 analysis and Q test. Heterogeneity of results was indicated when I2>50% or P<0.1. If heterogeneity was detected among the studies, the literatures were excluded by analysis and sensitivity analysis, and the case-by-case exclusion method was used for sensitivity analysis. Using fixed-effects model analysis, continuous variable standardized mean difference (SMD) was calculated and forest plots were made, with the confidence interval (CI) set at 95% (95% CI) and P<0.1 considered statistically significant. Funnel plots were used to represent publication bias.
Results
Literature screening results
In this study, 139 studies (113 from PubMed, 26 from SpringerLink) were initially screened. Two studies were excluded after repetitive check. After reading the whole text of the left studies, according to the inclusion and exclusion criteria and literature quality evaluation, 6 studies were finally included, involving a total of 3,494 patients (Table 1).
Table 1
Author | Year | Study region | Total population | Gender (M/F) | Mean age (years) | Delirium tool | Number (delirium/control) | Operation time (delirium/control) (min) |
---|---|---|---|---|---|---|---|---|
Guo et al. (8) | 2016 | China | 572 | 206/366 | 76.7±5.8 | CAM | 120/452 | 72.5±15.2/62.5±13.6 |
de Jong et al. (9) | 2019 | The Netherlands | 463 | 153/310 | 81.0±8.0 | DSM-IV | 121/342 | 73.4±14.4/63.5±12.7 |
Bilge et al. (10) | 2015 | Turkey | 250 | 142/108 | 68.8±12.7 | CAM | 46/204 | 151.6±29.4/139.2±29.7 |
Lee et al. (11) | 2011 | Korea | 232 | 173/59 | 78.5±7.7 | CAM | 70/162 | 95.9±35.7/95.2±35.1 |
Huang et al. (12) | 2017 | Singapore | 954 | 827/127 | 73.9±14.3 | DSM-IV | 6/948 | 99.2±14.3/94.3±12.8 |
Uzoigwe et al. (13) | 2020 | UK | 1,023 | 314/709 | 80.7±8.7 | DSM-IV | 242/781 | 122.2±14.6/118.8±12.4 |
CAM, Confusion Assessment Method; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders IV.
Literature quality evaluation
The NOR scale scores of the 6 included literatures in this study were all above 6 points, as shown in Table 2.
Table 2
Studies | Cohort selection | Comparability | Outcome measures | Total score | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Whether the case definition is sufficient | Whether the cases are representative | Selection of controls | Control definition | Based on design and analysis | Determination of exposure | Are exposures determined in the same manner | Non-response rate | ||||
Guo et al. (8) | 1 | 1 | 1 | 1 | 2 | 1 | 1 | – | 8 | ||
de Jong et al. (9) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | – | 7 | ||
Bilge et al. (10) | 1 | 1 | 1 | 0 | 2 | 1 | 1 | – | 7 | ||
Lee et al. (11) | 1 | 1 | 1 | 1 | 0 | 1 | 1 | – | 6 | ||
Huang et al. (12) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | – | 7 | ||
Uzoigwe et al. (13) | 1 | 1 | 0 | 1 | 1 | 1 | 1 | – | 6 |
Meta-analysis results
Statistical analysis
Meta-analysis revealed statistical heterogeneity among the 6 included studies (I2=80%, P=0.0002), so the random effects model was used for further analysis. The operation time of patients with postoperative delirium was longer, and the difference was significant (SMD =0.43, 95% CI: 0.20 to 0.66, P=0.0003). The 6 studies were divided into unilateral or bilateral THA subgroups according to the type of surgery. There was internal homogeneity between the subgroups: bilateral subgroup (I2=5%, P=0.37), unilateral subgroup (I2=0%, P=0.78). Both subgroups showed that patients with postoperative delirium had longer operation time, which was consistent with the combined analysis: bilateral subgroup (SMD =0.25, 95% CI: 0.12 to 0.37, P=0.0001), unilateral subgroup (SMD =0.70, 95% CI: 0.55 to 0.84, P<0.00001), as shown in Figure 2.
Analysis of publication bias
The funnel plot showed that the two subgroups were evenly distributed, suggesting that there was no publication bias, as shown in Figure 3.
Sensitivity analysis
The results of the analysis were stable, and no subsequent sensitivity analysis was performed.
Discussion
Postoperative delirium is a psychotic phenomenon characterized by fluctuations in the patient’s cognition and attention, which usually appears 1–3 days after surgery and can last from hours to days (14). Previous research (15) has shown that the incidence of postoperative delirium in patients after pelvic surgery is 10–60%. The correlation between operation time and the occurrence of delirium after THA surgery is still under discussion, and some researchers (8,10,11,13) believe that the correlation between the 2 is statistically significant, while others (9,12) have shown that the 2 are not significantly correlated. Therefore, in this study, we performed a systematic evaluation on the basis of evidence-based medicine to clarify the correlation between the occurrence of postoperative delirium and operation time.
The databases of PubMed and SpringerLink were used to retrieve the studies included in this analysis. Most of the non-case-control studies and those without corresponding indicators were screened out. The selected studies were evaluated according to the NOS literature quality assessment scale. A total of 6 studies were finally included. These 6 literatures had a total number of more than 5 stars after evaluation according to the 3 dimensions of cohort selection, comparability, and outcome measure, and were classified as excellent quality and suitable for subsequent meta-analysis. The RevMan software was used to establish the continuous variable of operation time. Data analysis was performed according to the grouping provided by the studies. Significant heterogeneity was detected among the 6 studies (I2=80%, P=0.0002), thus the random-effects model was used. A forest plot was generated. The difference in operation time between the delirium and control group was deemed statistically significant (SMD =0.43, 95% CI: 0.20 to 0.66, P=0.0003), indicating that operation time was related to the occurrence of delirium. To exclude heterogeneity between studies, we divided the studies into two subgroups according to the type of surgery (unilateral surgery and bilateral surgery). The results showed that the studies within the two subgroups showed good homogeneity, suggesting that the heterogeneity among the 6 studies was probably from the types of surgeries. Meta-analysis showed that postoperative delirium was correlated with operation time, which was consistent with the combined study results. Since the analysis results were stable, no subsequent sensitivity analysis was performed. There was a possibility of bias in all 6 literatures. For example, when NOS was used to evaluate the study by Bilge et al. (10), it was concluded that its control definition was unclear, therefore, the score of this item was 0. A similar situation was noted in the other studies, as shown in Table 2. However, the RevMan funnel plot showed that the two subgroups were evenly distributed on both sides, suggesting that there was no publication bias, and the meta-analysis results were stable and reliable. The results of this study were also consistent with those of a meta-analysis by Shi et al. (16). The difference was that the participants were patients undergoing spinal surgery, but the participants of this study were patients undergoing THA surgery, yet all of them showed that there was a correlation between the operation time and the occurrence of postoperative delirium.
In their study, Song et al. (17) analyzed the factors for the occurrence of delirium after orthopedic surgery, and it was shown that the incidence of delirium after hip surgery was higher than that of after knee surgery, while the operation time was also a risk factor for the occurrence of postoperative delirium. The reason for this may be that prolonged surgery induces a strong stress response, which can lead to disturbance of norepinephrine secretion and abnormal brain activity, and thus engender delirium (18). In addition, prolonged operation time can lead to increased blood loss and increased local seepage, which leaves patients prone to anemia, which is a factor in postoperative cognitive impairment (19). At the same time, prolonged operation time will predict an increase in the amount of anesthetic, which is also a factor associated with the development of delirium after surgery.
A study by Hommel (20) showed that implementation of the pathway for optimised treatment of people with hip fracture would result in shorter operation time, which meant that strengthening preoperative and intraoperative guarantee would avoid prolonged operation time.
Mesures should be taken to reduce postoperative delirium, a study by Siddiqi (21) concluded that the role of drugs and other anaesthetic techniques to prevent delirium remained uncertain, but by using the Bispectral Index to monitor and control depth of anaesthesia would reduce the incidence of postoperative delirium. Prevention and diagnosis involve efforts from the anesthesiologist and postoperative clinical care team, the delirium observation screening scale should be used to diagnosis the postoperative delirium as early as possible (22). Adamis et al. (23) conducted a study comparing delirium diagnosis with CAM, DRS, DSM-IV, DSM-5, which showed they all correlation coefficient, of which DSM-IV is the most inclusive diagnostic method while DSM-5 is the most restrictive.
In this study, sensitivity analysis was not conducted because the analysis was stable. However, a related study (24) showed that the occurrence of delirium was closely related to patient age, that is the older the patient is, the more likely they were to experience postoperative delirium. The age of patients in each study included in this analysis may be the source of literature heterogeneity, which may have affected the accuracy of the analysis results. In addition, the criteria of different delirium assessment tools vary, so there are different selection biases, which may have been the source of literature heterogeneity and may also have caused deviation of the results. This paper was limited by the finite resources available, and no detailed study was conducted to further explore this influence.
Conclusions
In this meta-analysis on the correlation between the operation time of THA and the occurrence of delirium, 6 studies were included, involving a total of 3,494 patients. The results showed that operation time was one of the related factors of delirium after THA. The longer the operation time, the greater the possibility of delirium.
Acknowledgments
Funding: None.
Footnote
Reporting Checklist: The authors have completed the PRISMA reporting checklist. Available at https://dx.doi.org/10.21037/apm-21-2190
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/apm-21-2190). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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(English Language Editor: J. Jones)