Abstract
OBJECTIVES
Pain after thoracoscopic surgery may increase the incidence of postoperative complications and impair recovery. Guidelines lack consensus regarding postoperative analgesia. We performed a systematic review and meta-analysis to determine the mean pain scores of different analgesic techniques (thoracic epidural analgesia, continuous or single-shot unilateral regional analgesia and only systemic analgesia) after thoracoscopic anatomical lung resection.
METHODS
Medline, Embase and Cochrane databases were searched until 1 October 2022. Patients undergoing at least >70% anatomical resections through thoracoscopy reporting postoperative pain scores were included. Due to a high inter-study variability an explorative meta-analysis next to an analytic meta-analysis was performed. The quality of evidence has been evaluated using the Grading of Recommendations Assessment, Development and Evaluation system.
RESULTS
A total of 51 studies comprising 5573 patients were included. Mean 24, 48 and 72 h pain scores with 95% confidence interval on a 0–10 scale were calculated. Length of hospital stay, postoperative nausea and vomiting, additional opioids and the use of rescue analgesia were analysed as secondary outcomes. A common-effect size was estimated with an extreme high heterogeneity for which pooling of the studies was not appropriate. An exploratory meta-analysis demonstrated acceptable mean pain scores of Numeric Rating Scale <4 for all analgesic techniques.
CONCLUSIONS
This extensive literature review and attempt to pool mean pain scores for meta-analysis demonstrates that unilateral regional analgesia is gaining popularity over thoracic epidural analgesia in thoracoscopic anatomical lung resection, despite great heterogeneity and limitations of current studies precluding such recommendations.
PROSPERO REGISTRATION
ID number 205311
Keywords: Acute postoperative pain, Pain management, Video-assisted thoracic surgery, Anatomic lung resection, Thoracic epidural analgesia, Regional analgesia, Intercostal analgesia, Health economics
Thoracic surgery is associated with severe postoperative pain [1].
INTRODUCTION
Rationale
Thoracic surgery is associated with severe postoperative pain [1]. Effective analgesia and rapid mobilization are important to enhance recovery and prevent postoperative complications [2]. Despite the introduction of video-assisted thoracoscopic surgery (VATS), still 16% of patients report severe postoperative pain in the first 48 h after surgery [3]. Postoperative pain results in administration of systemic analgesics including opioids, prolonged hospital stay, impaired pulmonary function and increased risk of postoperative complications [4]. Additionally, unrelieved pain is associated with decreased patient satisfaction and with the development of chronic pain syndromes [5].
In current clinical practice, thoracic epidural analgesia (TEA) is still considered the standard of care after thoracoscopic lung surgery [6]. When placed correctly, the analgesic effect of TEA is clear, but failure rates of 9–30% have been described, and the awake placement can be stressful for patients [7]. Moreover, TEA is associated with disadvantages such as immobilization, neurogenic bladder dysfunction and hypotension as well as more severe TEA-related complications such as haematomas and infections [7]. Recent guidelines of the Enhanced Recovery after Surgery Society and the European Society of Thoracic Surgeons as well as the recent PROSPECT guidelines suggest the use of loco-regional analgesic techniques for early mobilization and less epidural related side-effects after VATS as one of the key recommendations [2, 8]. The PROSPECT guidelines do not recommend TEA based on a Delphi consensus even though 3 randomized trials all demonstrated lower pain scores and less opioid use after TEA compared to paravertebral block (PVB). The use of TEA is still part of an ongoing debate in designing enhanced recovery after thoracic surgery (ERATS) protocols [9]. A Dutch national survey confirmed strong variability in using regional analgesic techniques, with a majority (69%) still using TEA after VATS anatomic lung resection [10].
Several papers showed safety and effectiveness of unilateral regional analgesic techniques such as paravertebral, intercostal nerve, serratus anterior and erector spinae plane blocks [11–16]. The approach of the analgesic techniques, whether given as epidural analgesia or loco-regional continuous or single-shot, may play an important role in improved recovery after VATS [2]. A meta-analysis on single-injection versus continuous peripheral nerve blockade in a heterogeneous postoperative patient group showed improved pain control, decreased need for opioids and greater patient satisfaction with the continuous infusion technique [17]. Despite this, single-shot analgesic techniques are gaining popularity as they are fast to apply and may be equally effective as catheter techniques, without compromising patient satisfaction [18].
Our aim was to perform an analytical single-arm meta-analysis of acute pain scores for different analgesic approaches after thoracoscopic anatomical lung resection in patients treated by either TEA (group 1), continuous regional analgesia (group 2), single-shot regional analgesia (group 3) or systemic analgesia only (group 4). In case of large inter-study variability leading to unacceptable heterogeneity, we aim for an exploratory meta-analysis. This approach characterizes individual studies on likely factors that might explain the variation in effect size [19].
MATERIALS AND METHODS
We adhered to PRISMA 2020 checklist (Supplementary Material, Appendix H).
Protocol registration
PROSPERO database: ID number 205311, registered 20 September 2020.
Eligibility criteria
Clinical (non) randomized trials (all included clinical trials published after 1 January 2019 were prospectively registered in a national or international clinical trial database) or observational studies including adults undergoing thoracoscopic (either robotic or conventional) anatomical lung resection [pneumonectomy, (bi)lobectomy and/or segmentectomy] receiving postoperative analgesia through TEA, continuous or single-shot unilateral regional nerve blocks or systemic analgesia.
Search strategy
Studies were identified through electronic search of the Medline (PubMed platform), EMBASE and Cochrane databases on published literature without calendar year or language restrictions. In addition, reference lists of included studies as well as of meta-analysis and systematic reviews related to analgesia after thoracoscopy were scanned for additional relevant studies (citation tracking) [17, 20–22]. The last search was conducted on 1 October 2022. The full search strategy is provided in Supplementary Material, Appendix A.
Study selection
Two authors (L.N.S. and J.E.B.) independently screened the titles and abstracts and if the article fulfilled the inclusion criteria, the same 2 authors read the full-text articles. The inclusion criteria were studies performing thoracoscopic procedures with at least 70% of patients undergoing anatomical lung resection, at least 20 patients per analgesic technique and studies reporting absolute pain scores. The PRISMA flow diagram is shown in Fig. 1. Studies reporting on a population undergoing thoracotomy only were excluded, whereas combined thoracoscopy and thoracotomy populations were included to analyse the thoracoscopic subgroup only. The corresponding authors of studies with insufficient data presentation (only graphic pain scores without absolute pain score values, no pain scores or unknown proportion of anatomical lung resections) were contacted. Three authors responded with absolute mean pain scores [23–25] and 1 author responded with number of anatomical resections [26] and were included in the meta-analysis. Any disagreement in the selection process was resolved by the senior author (F.J.C.v.d.B.).
Figure 1:
Flow diagram of study selection (n = number).
Primary outcome measures
The primary outcome measure was the mean [standard deviation (SD)] pain score at 24 h after surgery [i.e. Visual Analogue Scale, Numeric Rating Scale (NRS) or Verbal Rating Scale). A substantial number of studies reported pain scores as medians. We used validated methods to convert medians to means to complement our meta-analysis with as much available data as possible [27, 28]. If by performing the transformation the data remained skewed, the study subgroup was excluded [28].
Secondary outcome measures
Secondary pain score measure
Also pain scores at 48 and 72 h were registered when available.
Length of hospital stay
The length of hospital stay (LOS) was defined as full calendar days the patient remained in the hospital after surgery (Supplementary Material, Appendix E). If the number of days was reported as (non-skewed) medians, then the medians were converted to means.
Complications related to the analgesic technique
All studies were thoroughly searched for reported complications and adverse events related to the analgesic techniques to report them as secondary outcome measures. The most reported adverse event was postoperative nausea and vomiting (PONV). PONV was mostly reported as the number of patients suffering from PONV and analysed as the proportional incidence of PONV per analgesic group (Supplementary Material, Appendix E). Next to PONV, urinary retention and hypotension (Supplementary Material, Appendix G) were compared between the different analgesic groups. Other block-related complications such as haematomas and infections did not occur. The absence of specific complications was only considered if the article specifically mentioned the complication was absent.
(Additional) opioids
All (additional) opioids that were part of an analgesic technique (multimodal analgesic regimes) were considered, independently from the route of administration: including epidural, systemic or orally given opioids. These were reported as frequency of boluses in the case of patient-controlled analgesia or as total amount of morphine or fentanyl use in 24 h. Fentanyl (1:300), oral (1:1.5) and intravenous (1:3) oxycodone and intravenous morphine (1:30) dosages were converted into Morphine Milligram Equivalent according to the Opioid Conversion Table (Supplementary Material, Appendix F).
Rescue analgesia
Rescue analgesia is defined as analgesic medication given for intermittent breakthrough pain (in different protocols defined as NRS > 3 or NRS > 4). Since non-steroidal anti-inflammatory drugs (NSAIDs) and opioids are used together for rescue analgesia, we did not make an estimation of milligrams used as we did for additional opioids. For the rescue analgesia, we found it more clinically relevant to define the number of patients per analgesic group (incidence) using rescue analgesia as this gives an estimation as to how many patients had unacceptable pain (Supplementary Material, Appendix E).
Data collection
A data collection form was developed to extract relevant information from each included study. Baseline data were extracted per study (Table 1).
Table 1:
Study characteristics
| Study (subgroup) | Analgesia | Gender (% male) | Age (mean) | RCT | n total |
Anatomic resection | VATS/RATS ports | Risk of Bias |
||
|---|---|---|---|---|---|---|---|---|---|---|
| Selection | Measure | Report | ||||||||
| Thoracic epidural analgesia | ||||||||||
| Nomori et al. (1) (2001) | TEA | 67% | 64 | No | 33 | 100% | Multi |
|
|
|
| Yie et al. (1) (2012) | TEA | 54% | 62 | No | 70 | 100% | Multi |
|
|
|
| Nomori et al. (1) (2016) | TEA | 57% | 67 | No | 58 | 100% | Multi |
|
|
|
| Kosinski et al. (2) (2016) | TEA | 60% | 60 | Yes | 25 | 100% | Multi |
|
|
|
| Darr et al. (1) (2017) | TEA | 42% | 62 | No | 38 | 74% | Multi |
|
|
|
| Bousema et al. (2) (2019) | TEA | 35% | 63 | No | 23 | 70% | Multi |
|
|
|
| Miyoshi et al (1) (2021) | TEA | 41% | 67 | No | 142 | 100% | Multi |
|
|
|
| Miyoshi et al (2) (2021) | TEA | 36% | 68 | No | 140 | 100% | Multi |
|
|
|
| Yamazaki et al. (1) (2022) | TEA | 49% | 69 | No | 70 | 79% | Multi |
|
|
|
| Continuous regional analgesia | ||||||||||
| Wildgaard et al. (2012) | ICNB | 58% | 64 | No | 48 | 100% | Multi |
|
|
|
| Hsieh et al. (1) (2016) | ICNB | 62% | 61 | No | 39 | 100% | Single |
|
|
|
| Jung et al. (2) (2016) | ICNB | 63% | 61 | No | 30 | 100% | Multi |
|
|
|
| Kosinski et al. (1) (2016) | TPVB | 54% | 65 | Yes | 26 | 100% | Multi |
|
|
|
| Kadomatsu et al. (1) (2018) | TPVB | 46% | 68 | Yes | 26 | 100% | Multi |
|
|
|
| Kadomatsu et al. (2) (2018) | ICNB | 54% | 65 | Yes | 24 | 100% | Multi |
|
|
|
| Bousema et al. (1) (2019) | ICNB | 74% | 68 | No | 23 | 78% | Multi |
|
|
|
| Taketa et al. (1) (2019) | TPVB | 59% | 65 | Yes | 32 | 100% | Multi |
|
|
|
| Taketa et al. (2) (2019) | TPVB | 61% | 68 | Yes | 33 | 100% | Multi |
|
|
|
| Taketa et al. (1) (2019) | TPVB | 63% | 67 | Yes | 40 | 100% | Multi |
|
|
|
| Taketa et al. (2) (2019) | ESPB | 56% | 70 | Yes | 41 | 100% | Multi |
|
|
|
| Er et al. (3) (2021) | SAPB | 54% | 56 | Yes | 39 | 100% | Multi |
|
|
|
| Tan et al. (1) (2021) | ICNB | 46% | 61 | No | 26 | 77% | Single |
|
|
|
| Chen et al. (1) (2022) | SAPB | 59% | 56 | Yes | 33 | 100% | Single |
|
|
|
| Chen et al. (2) (2022) | SAPB | 67% | 57 | Yes | 33 | 100% | Single |
|
|
|
| Deng et al. (2) (2022) | CRIB | 43% | 53 | Yes | 30 | 100% | Multi |
|
|
|
| Single-shot regional analgesia | ||||||||||
| Hsieh et al. (2) (2016) | ICNB | 56% | 60 | No | 39 | 100% | Single |
|
|
|
| Park et al. (1) (2018) | SAPB | 40% | 58 | Yes | 42 | 100% | Multi |
|
|
|
| Xu et al. (1) (2018) | TPVB | 57% | 60 | Yes | 30 | 100% | Multi |
|
|
|
| Xu et al. (2) (2018) | TPVB | 60% | 59 | Yes | 30 | 100% | Multi |
|
|
|
| Bai et al. (1) (2019) | ICNB | 49% | 58 | Yes | 53 | 77% | Single |
|
|
|
| Bai et al. (2) (2019) | ICNB | 49% | 58 | Yes | 51 | 84% | Single |
|
|
|
| Bai et al. (3) (2019) | ICNB | 49% | 58 | Yes | 53 | 85% | Single |
|
|
|
| Gao et al. (1) (2019) | ESPB | 50% | 56 | Yes | 30 | 100% | Multi |
|
|
|
| Gao et al. (2) (2019) | ESPB | 57% | 58 | Yes | 30 | 100% | Multi |
|
|
|
| Gao et al. (3) (2019) | ESPB | 57% | 57 | Yes | 30 | 100% | Multi |
|
|
|
| Wang et al. (2) (2019) | TPVB | 31% | 56 | No | 41 | 87% | Single |
|
|
|
| Wang et al. (3) (2019) | SAPB | 41% | 56 | No | 41 | 93% | Single |
|
|
|
| Baldinelli (1) (2020) | ICNB | 30% | 65 | No | 20 | 100% | Multi |
|
|
|
| Baldinelli (2) (2020) | SAPB | 65% | 70 | No | 20 | 100% | Multi |
|
|
|
| Ciftci et al. (1) (2020) | ESPB | 53% | 48 | Yes | 30 | 100% | Multi |
|
|
|
| Kang et al. (1) (2020) | TPVB | 51% | 52 | Yes | 41 | 100% | Multi |
|
|
|
| Lee et al. (1) (2020) | SAPB | 52% | 68 | Yes | 23 | 100% | Multi |
|
|
|
| Lee et al. (2) (2020) | ICNB | 70% | 67 | Yes | 23 | 100% | Multi |
|
|
|
| Viti et al. (1) (2020) | SAPB | 61% | 68 | Yes | 46 | 100% | Multi |
|
|
|
| Yao et al. (1) (2020) | ESPB | 38% | 56 | Yes | 37 | 100% | Multi |
|
|
|
| Zhao et al. (1) (2020) | ESPB | 55% | 59 | Yes | 33 | 70% | Multi |
|
|
|
| Zhao et al. (2) (2020) | TPVB | 33% | 57 | Yes | 33 | 70% | Multi |
|
|
|
| Er et al. (1) (2021) | TPVB | 61% | 52 | Yes | 38 | 100% | Multi |
|
|
|
| Er et al. (2) (2021) | TPVB | 54% | 53 | Yes | 39 | 100% | Multi |
|
|
|
| Marciniak et al. (1) (2021) | ICNB | 48% | 66 | No | 178 | 100% | Multi |
|
|
|
| Marciniak et al. (2) (2021) | ICNB | 49% | 66 | No | 218 | 100% | Multi |
|
|
|
| Qiu et al. (1) (2021) | SSB | 52% | 63 | Yes | 21 | 100% | Multi |
|
|
|
| Qiu et al. (2) (2021) | DSB | 62% | 63 | Yes | 21 | 100% | Multi |
|
|
|
| Qiu et al. (1) (2021) | PVB | 47% | 58 | Yes | 30 | 90% | Multi |
|
|
|
| Qiu et al. (2) (2021) | SAB | 45% | 56 | Yes | 29 | 93% | Multi |
|
|
|
| Rao et al. (1) (2021) | ESB | 47% | 56 | Yes | 32 | 100% | Multi |
|
|
|
| Rao et al. (2) (2021) | ESB | 46% | 56 | Yes | 33 | 100% | Multi |
|
|
|
| Rao et al. (3) (2021) | ESPB | 47% | 55 | Yes | 30 | 100% | Multi |
|
|
|
| Turhan et al. (1) (2021) | ESPB | 54% | 53 | Yes | 35 | 100% | Multi |
|
|
|
| Turhan et al. (2) (2021) | TPVB | 46% | 54 | Yes | 35 | 100% | Multi |
|
|
|
| Turhan et al. (3) (2021) | ICNB | 53% | 52 | Yes | 36 | 100% | Multi |
|
|
|
| Weksler et al. (1) (2021) | ICNB | 28% | 63 | Yes | 25 | 84% | Multi |
|
|
|
| Weksler et al. (2) (2021) | ICNB | 56% | 63 | Yes | 25 | 88% | Multi |
|
|
|
| Banks et al. (1) (2022) | ICNB | 21% | 67 | No | 34 | 100% | Multi |
|
|
|
| Banks et al. (2) (2022) | ICNB | 39% | 67 | No | 222 | 100% | Multi |
|
|
|
| Banks et al. (3) (2022) | ICNB | 35% | 65 | No | 46 | 100% | Multi |
|
|
|
| Yamazaki et al. (2) (2022) | ICNB | 47% | 70 | No | 70 | 76% | Multi |
|
|
|
| Yang et al. (1) (2022) | TPVB | 54% | 54 | Yes | 28 | 100% | Multi |
|
|
|
| Yang et al. (2) (2022) | TPVB | 59% | 51 | Yes | 27 | 100% | Multi |
|
|
|
| Yang et al. (3) (2022) | TPVB | 55% | 54 | Yes | 29 | 100% | Multi |
|
|
|
| Yu et al. (1) (2022) | ICNB | 40% | 53 | Yes | 184 | 72% | Multi |
|
|
|
| Yu et al. (2) (2022) | ICNB | 36% | 54 | Yes | 186 | 74% | Multi |
|
|
|
| Yu et al. (3) (2022) | ICNB | 32% | 52 | Yes | 184 | 73% | Multi |
|
|
|
| Zhang et al. (1) (2022) | TPVB | 45% | 54 | Yes | 22 | 100% | Multi |
|
|
|
| Zhang et al. (2) (2022) | ESPB | 50% | 54 | Yes | 22 | 100% | Multi |
|
|
|
| Systemic analgesia | ||||||||||
| Yie et al. (2) (2012) | PCIA | 66% | 61 | No | 35 | 100% | Multi |
|
|
|
| Pu et al. (2013) | PCIA | 65% | 60 | No | 51 | 100% | Multi |
|
|
|
| Andreetti et al. (2014) | CONT | 59% | 63 | No | 75 | 100% | Multi |
|
|
|
| Yang et al. (2015) | PCIA | 47% | 59 | Yes | 36 | 100% | Multi |
|
|
|
| Dai et al. (1) (2016) | CONT | 82% | 57 | No | 66 | 100% | Multi |
|
|
|
| Dai et al. (2) (2016) | CONT | 82% | 57 | No | 66 | 100% | Single |
|
|
|
| Jahangiri et al. (1) (2016) | CONT | 74% | 39 | Yes | 35 | 100% | Multi |
|
|
|
| Jahangiri et al. (2) (2016) | CONT | 69% | 42 | Yes | 35 | 100% | Multi |
|
|
|
| Jung et al. (1) (2016) | PCIA | 72% | 63 | No | 36 | 100% | Multi |
|
|
|
| Wang et al. (1) (2016) | PCIA | 50% | 56 | Yes | 40 | 100% | Multi |
|
|
|
| Wang et al. (2) (2016) | PCIA | 50% | 54 | Yes | 40 | 100% | Multi |
|
|
|
| Park et al. (2) (2018) | PCIA | 38% | 58 | Yes | 42 | 100% | Multi |
|
|
|
| Liu et al. (1) (2019) | PCIA | 54% | 63 | No | 166 | 100% | Single |
|
|
|
| Liu et al. (2) (2019) | PCIA | 54% | 63 | No | 162 | 100% | Multi |
|
|
|
| Wang et al. (1) (2019) | PCIA | 39% | 55 | No | 41 | 93% | Single |
|
|
|
| Ciftci et al. (2) (2020) | PCIA | 50% | 46 | Yes | 30 | 100% | Multi |
|
|
|
| Dastan et al. (1) (2020) | CONT | 74% | 66 | Yes | 35 | 70% | Multi |
|
|
|
| Dastan et al. (2) (2020) | CONT | 69% | 42 | Yes | 35 | 70% | Multi |
|
|
|
| Dastan et al. (3) (2020) | CONT | 71% | 40 | Yes | 31 | 70% | Multi |
|
|
|
| Jiang et al. (1) (2020) | PCIA | 64% | 56 | No | 50 | 100% | Multi |
|
|
|
| Jiang et al. (2) (2020) | PCIA | 61% | 54 | No | 49 | 100% | Multi |
|
|
|
| Viti et al. (2) (2020) | PCIA | 68% | 71 | Yes | 44 | 100% | Multi |
|
|
|
| Hu et al. (1) (2021) | PCIA | 56% | 67 | No | 200 | 100% | Single |
|
|
|
| Hu et al. (2) (2021) | PCIA | 55% | 66 | No | 200 | 100% | Multi |
|
|
|
| Li et al. (1) (2021) | PCIA | 0% | 52 | Yes | 71 | 100% | Multi |
|
|
|
| Li et al. (2) (2021) | PCIA | 0% | 50 | Yes | 72 | 100% | Multi |
|
|
|
| Deng et al. (1) (2022) | PCIA | 36% | 58 | Yes | 30 | 100% | Single |
|
|
|
| Zhang et al. (3) (2022) | PCIA | 47% | 52 | Yes | 23 | 100% | Multi |
|
|
|
: high risk of bias;
: low risk of bias;
: moderate risk of bias; CONT: continuous intravenous infusion; CRIB: continuous rhomboid intercostal block; DSB: deep serratus block; ESPB: erector spinae plane block; ICNB: intercostal nerve block; PCIA: patient controlled intravenous analgesia; RATS: robot-assisted thoracoscopic surgery; RCT: randomized controlled trial; SAPB: serratus anterior plane block; SSB: superficial serratus block; TEA: thoracic epidural analgesia; TPVB: thoracic paravertebral block; VATS: video-assisted thoracoscopic surgery.
Data analysis
We divided all included studies into 4 categories depending on the type of analgesic approach: TEA; continuous unilateral infusion of loco-regional analgesia; single-shot loco-regional analgesia; or only systemic analgesia. We intended a single-arm meta-analysis to evaluate the outcome measures for each analgesic approach, but in case of large heterogeneity between the included studies, we would shift to an exploratory meta-analysis to explain why the effect sizes vary (what are the characteristics of the studies which account for the observed differences) instead of determining whether the treatment has an effect.
Descriptive variables were analysed by using the Statistical Package for Social Sciences for Windows (version 22.0, IBM, Armonk, NY). Continuous data were reported as medians and interquartile range (IQR) and/or total range (non-parametric data) or as means and SD and/or total range (parametric data). Medians and IQR or medians and range were converted into means using the method by [29] and [30]. In case of skewed medians, transformation was not possible. We then back-transformed the results and performed a random-effects model meta-analysis according to the DerSimonian and Laird method and using the metamean package in R (version 4.1.2). We performed a sensitivity analysis of 3 different approaches of pooling the studies: studies reporting only means, only medians and a 3rd analysis with means and non-skewed medians transformed to means (Supplementary Material, Appendix I). As no significant clinical difference was shown and the heterogeneity remained high in all analysis, we decided for the third analysis with the most data. We calculated I2 statistics with 95% confidence interval (95% CI), presenting the percentage of variability that is attributable to between-study heterogeneity. We used I2 value of >50% as the cut-off indicating significant heterogeneity between studies [31]. An evaluation of the risk of bias was performed by using the Risk of Bias tool (RoB-2) for randomized studies and the Risk of Bias tool for Nonrandomised Studies for Interventions (ROBINS-I) for non-randomized studies [32, 33] (Supplementary Material, Appendix B). The quality of the evidence has been thoroughly evaluated and described using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) method (Supplementary Material, Appendix C, Table S1). The clinical difference in mean for the primary outcome is not well defined and is context specific [34]. Moreover, the analgesic technique groups cannot be reliably compared to each other due to the high between-study heterogeneity. Therefore, the difference in mean, generally used to find statistical difference between 2 means, was not calculated. We selected 6 patient-centred outcome measures that are important for decision-making. A table of evidence has also been added for additional transparency regarding our quality of evidence evaluation (Supplementary Material, Appendix C, Table 2).
Table 2:
Secondary outcomes and subgroup analyses
| Type of analgesia | TEA | N a ; I2b | Continuous regional | N a ; I2b | Single-shot regional | N a ; I2b | Systemic |
N
a
; I2b |
|---|---|---|---|---|---|---|---|---|
| Secondary outcome | ||||||||
| LOS in daysc | 6.7 (5.9–7.7) | 234; 89% | 5.3 (3.3–8.4) | 205; 98% | 4.5 (3.8–5.3) | 1,450; 99% | 6.6 (5.4–8.1) | 575; 98% |
| PONVd | 18 (13–25) | 390; 62% | 10 (5–18) | 361; 63% | 10 (7–15) | 1,364; 55% | 18 (11–30) | 731; 86% |
| Additional opioids in milligramsc | 41.0 (24.9–67.4) | 305; 100% | 30.0 (30.0–30.0) | 71; 0% | 39.2 (28.0-55.0) | 1,453; 99% | 72.7 (48.0–110.1) | 228; 100% |
| Rescue analgesiad | 62 (19–92) | 422; 98% | 37 (20–56) | 253; 84% | 16 (10–23) | 1,303; 84% | 0 (0–96) | 460; 0% |
| Subgroup analysis | ||||||||
| VATS technique multi-portc | N/A | N/A | 2.3 (1.8–2.8) | 362; 92% | 2.3 (2.0–2.6) | 2,007; 97% | 2.9 (2.4–3.5) | 1,293; 99% |
| VATS technique single-portc | N/A | N/A | 1.5 (1.2–2.1) | 161; 94% | 2.4 (2.0–2.8) | 278; 82% | 3.5 (2.7–4.6) | 503; 99% |
| Randomized controlled trialsc | 2.6 (1.9–3.4) | 25; N/A | 2.0 (1.5–2.7) | 292; 90% | 2.4 (1.9–3.1) | 1,156; 97% | 2.3 (1.9–2.8) | 517; 96% |
| Non-randomized controlled trialsc | 1.84 (1.4–2.4) | 504; 81% | 1.8 (0.6–5.9) | 166; 96% | 2.4 (2.1–2.9) | 950; 86% | 4.2 (3.2–5.5) | 736; 98% |
Sample size.
Heterogeneity.
Mean and 95% confidence interval.
Incidence in percentage and 95% confidence interval.
LOS: length of hospital stay; PONV: postoperative nausea and vomiting; TEA: thoracic epidural analgesia; VATS: video-assisted thoracoscopic surgery; N/A: not applicable
RESULTS
Description of studies
A total of 7772 unique studies were identified, of which 51 [14, 23–26, 35–80] were considered in the meta-analysis including 31 randomized trials and 20 retrospective and observational studies (Fig. 1). In the included 51 studies, a total of 103 different analgesic subgroups were identified and subdivided: group 1 TEA (9 subgroups), group 2 continuous unilateral regional analgesia (16 subgroups), group 3 single-shot unilateral regional analgesia (50 subgroups) and group 4 systemic analgesia only (28 subgroups). All included studies except 1 have been published after 2012. The meta-analysis comprised 5573 patients of which 5266 (94.5%) underwent an anatomical lung resection. The mean age of included patients was 59 years (SD 10) and 53% were males (Table 1).
Primary outcome: mean pain scores
Mean pain scores at 24 h after surgery were reported in all studies. The mean pain score with 95% CI and heterogeneity (I2) at 24 h was 1.9 (1.5–2.4; I2 = 79%) for TEA, 2.0 (1.4–2.8; I2 = 95%) for continuous regional analgesia, 2.5 (2.3–2.6; I2 = 97%) for single-shot regional analgesia and 2.9 (2.6–3.6; I2 = 98%) in the systemic analgesia group (Fig. 2). Mean pain scores at 48 and 72 h after surgery with the respective heterogeneity are provided in Fig. 2.
Figure 2:
Meta-analysis of mean (standard deviation) pain scores 24, 48 and 72 h after video-assisted thoracoscopic surgery anatomical lung resection. (A) Thoracic epidural analgesia. (B) Continuous regional analgesia. (C) Single-shot regional analgesia. (D) Systemic analgesia. 95% CI: 95% confidence interval; n: total number of patients; SD: standard deviation.
Length of hospital stay
The LOS was analysed in 46 of the 103 subgroups. The mean LOS with 95% CI and heterogeneity (I2) for TEA was 6.7 days (5.9–7.7; I2 = 89%), 5.3 (3.3–8.4; I2 = 98%) for continuous regional analgesia, 4.5 (3.8–5.3; I2 = 99%) for single-shot regional analgesia and 6.6 (5.4–8.1; I2 = 98%) for systemic analgesia (Table 2).
Incidence of PONV
PONV was analysed in 79 of the 103 subgroups. The overall incidence of PONV with 95% CI and heterogeneity (I2) for TEA was 18% (13–25; I2 = 62%), 10% (5–18; I2 = 63%) for continuous regional analgesia, 10% (7–15; I2 = 55%) for single-shot regional analgesia and 18% (11–30; I2 = 86%) for systemic analgesia (Table 2).
(Additional) opioids
The use of (additional) opioids was analysed in 33 of the 103 subgroups. Mean (additional) opioid use in the first 24 h after surgery was 41.0 mg (95% CI 24.9–67.4; I2 100%) for TEA, 30.0 mg (95% CI 30.0–30.0; I2 0%) for continuous regional analgesia, 39.2 mg (95% CI 28.0–55.0; I2 99%) for single-shot regional analgesia and 72.7 mg (95% CI 48.0–110.1; I2 99%) for systemic analgesia (Table 2).
Rescue analgesia
Rescue analgesia was analysed in 48 of the 103 subgroups. After TEA rescue analgesia (mainly flurbiprofen) was reported in 62% (95% CI 19–92%; I2 98%) of the patients, after continuous regional analgesia (mainly flurbiprofen) in 37% (95% CI 20–56%; I2 84%), after single-shot regional analgesia (flurbiprofen, tramadol, fentanyl) in 16% (95% CI 10–23%; I2 84%) and after systemic analgesia (mainly NSAIDs) in 0% (95% CI 0–96%; I2 0%) (Table 2).
Subgroup analyses based on single or multi-port thoracoscopy
All patients receiving TEA underwent multi-port VATS. In the continuous regional group, mean pain scores at 24 h with 95% CI and heterogeneity (I2) were 2.3 (1.8–2.8; I2 92%) after multi-port versus 1.5 (1.2–2.05; I2 94%) after single-port thoracoscopy. In the single-shot regional group, this was 2.3 (2.0–2.6; I2 97%) after multi-port patients versus 2.4 (2.0–2.8; I2 82%) after single-port thoracoscopy. In the systemic analgesia group, this was 2.9 (2.4–3.5; I2 99%) after multi-port versus 3.5 (2.7–4.6; I2 99%) in the single-port thoracoscopy subgroups (Table 2).
Subgroup analysis based on study design
Randomized controlled trials (RCTs) versus non-RCTs reported the following mean pain scores at 24 h with 95% CI and heterogeneity (I2): in the TEA group 2.6 (1.9–3.4; I2 0%) versus 1.8 (1.4–2.4; I2 81%), in the continuous analgesia group 2.0 (1.5–2.7; I2 90%) versus 1.8 (0.6–5.9; I2 96%), in the single-shot regional group 2.4 (1.9–3.1; I2 97%) versus 2.4 (2.1–2.9; I2 86%) and in the systemic analgesia group, this was 2.3 (1.9–2.8; I2 96%) versus 4.2 (3.2–5.5; I2 98%) (Table 2).
DISCUSSION
Looking carefully at our research question and aim, one may easily conclude that unilateral loco-regional techniques have comparable pain scores as TEA, but a shorter length of stay and lower incidence of PONV. However, despite the fact that our primary and secondary outcomes have been calculated by a random-effects meta-analysis and hence can guide us to credible conclusions, the pooled results show such a high level of variability and heterogeneity between the studies, that no firm conclusions can be drawn. Even with the careful selection of studies based on strict eligibility criteria, heterogeneity is a main concern. Possible confounding factors were statistically explored through sensitivity analysis, such as study designs (RCT vs non-RCT) and the approach of the thoracoscopy procedure (multi-port vs single port). Additionally, we describe possible confounding factors including local practices of analgesic protocols, implementation of ERATS, methodological limitations such as small sample sizes and the lack of relevant RCTs. Due to these factors, a meta-analysis and comparisons between different analgesics were untrustworthy.
This exploratory meta-analysis comprising 5573 patients undergoing thoracoscopic anatomical lung resection showed that 24 h after surgery, pooled mean pain scores and 95% CI in all analgesic groups were below the clinical threshold of a NRS pain score of 4. When performing subgroup analysis, however, non-RCTs in the continuous and systemic analgesia groups demonstrated upper boundaries of the 95% CI of 5.92 and 5.47, respectively, slightly crossing the clinical threshold of acceptable pain. Recent PROSPECT guidelines advocate using loco-regional analgesic techniques and actually discourage the use of TEA due to its association with hypotension and epidural haematomas, despite lower pain scores among patients receiving TEA in randomized studies [8]. The authors based their advice on a Delphi consensus without clear scientific evidence. In contrast with our systematic review, the PROSPECT guideline included patients with a majority not undergoing anatomical lung resection. Moreover, they did not attempt to perform a pooled meta-analysis.
Although TEA is the historic standard of care for pain management in lung surgery and has been used for decades, only 8 studies on TEA fulfilled the inclusion criteria of our systematic review, including 1 RCT [23]. In this RCT, continuous PVB had even better pain relief than TEA after 24, 36 and 48 h. One of the possible explanations addressed by the authors was that the drug distribution in TEA led to a more predictable block spread than PVB, as a result of which in the PVB, more interventions were needed to achieve sufficient block spread which may therefore have led to better pain relief. A second non-randomized study [70] used propensity-matched analysis to compare a cohort with TEA versus single-shot intercostal nerve block (ICNB). Also in this study, ICNB as unilateral regional technique led to significantly improved average pain scores when compared to TEA. One of the possible explanations may be that all patients in the ICNB group received continuous intravenous fentanyl infusion. These figures were confirmed by a comparative cohort study by Bousema et al. [53], comparing TEA versus continuous ICNB, also demonstrating similar pain scores but with a higher additional use of opioids intravenously in the continuous ICNB group. It therefore appears that unilateral regional techniques, when compared to TEA, may indeed have equivalent pain reduction, but only with adjacent opioids or non-opioid analgesics as part of a multimodal analgesia strategy. The higher amount of opioid use in the systemic analgesia group strengthens the theory of regional analgesic techniques being opioid sparing [81]. Multi-modal analgesic strategies implement a variety of analgesic methods combining systemic analgesia with loco-regional anaesthetics, which result in synergistic effects to help develop more effective strategies towards ERATS while minimizing side effects [2, 82].
Our meta-analysis furthermore suggests a shorter LOS after continuous and single-shot unilateral regional analgesia compared to TEA and systemic analgesia. Next to the analgesic strategy, predefined centre-specific discharge criteria in either fast-track or non-fast-track protocols are strong predictors of LOS. In several studies solely focusing on TEA as analgesic technique, we found that the predefined protocol negatively influenced LOS in advance. In the study by Nomori et al. [52], all patients underwent 6-min walking and pulmonary function tests during their hospital stay at POD 7, precluding earlier discharge. Similarly, Darr et al. [40] explicitly described not using a fast-track protocol: TEA duration was more than 3 days and 2 chest tubes were placed. Studies directly comparing TEA versus unilateral regional analgesia could not demonstrate differences in LOS. Yamazaki et al. [70] evaluated TEA versus single-shot ICNB with similar LOS (7.7 vs 6.6 days). Bousema et al. [53] showed the same LOS for patients undergoing TEA versus continuous ICNB (median of 4 days). To the contrary, studies solely focusing on unilateral regional techniques generally used multimodal analgesic regimes [56, 68, 71] combined with predefined fast-track protocols. Single-shot techniques, although having a time-limited analgesic effect, are easy to perform and cost-effective [83]. Most studies applying single-shot techniques included only ASA I and II patients [38, 54, 55, 65] and uniportal VATS techniques [48, 71] possibly creating a selection bias of patients with an advantage in rapid recovery and early discharge. Moreover, single-shot unilateral techniques were also accompanied by adjuvants such as dexmedetomidine, nalbuphine and dexamethasone [55, 65, 78] as well as experimental studies using liposomal bupivacaine [67, 68], thereby extending the efficacy of single-shot blocks promoting ERATS. All factors taken into consideration, not only the applied analgesic technique has an impact on LOS, but the tendency to follow ERATS protocols and studies focusing on pain control, create a clear advantage resulting in early hospital discharge. Unfortunately, we could not make clear conclusions whether included studies adhered to ERATS protocols since there is no clear definition of ERATS in the included articles and therefore a separate analysis on this topic was not possible.
PONV is an important patient-centred outcome that frequently complicates the recovery after surgery. In our systematic review, it was the most frequently reported analgesic block related adverse event, other complications such as haematomas and infections did not occur. Patients with reduced PONV reported greater patient satisfaction [57]. According to recent guidelines [84], besides volatile analgesia and patient characteristics, the type of postoperative analgesic technique used is a factor that greatly influences the incidence of PONV. In this meta-analysis, as compared to other outcomes, PONV showed surprisingly lower heterogeneity for pooled percentages, indicating a certain degree of consensus. TEA and systemic analgesia show a higher incidence (18% respectively) when compared to unilateral loco-regional techniques as continuous or single-shot analgesia (10%, respectively). PONV incidence depends on the fentanyl dosage in the epidural solution. A large patient series receiving TEA with a low dosage of fentanyl have reported only 1.8% of PONV [85]. Adding regional analgesic blocks compared to patients with only general anaesthesia have 9 times less PONV [86]. Moreover, central neuraxial blocks achieved with TEA are associated with sympathetic nervous system blockade which contributes to postural hypotension induced nausea and vomiting [86]. RCTs directly comparing unilateral loco-regional techniques versus control groups without peripheral blocks demonstrate that PONV was significantly more prevalent in the control group [24, 36, 38, 57]. Finally, most studies in the unilateral loco-regional technique groups provided prophylactic anti-emetic medication, also significantly reducing PONV incidence [14, 24, 57, 64, 72, 80].
Subgroup analyses based on pain scores in multi- and single-port VATS do not show a strong relationship between number of surgical incisions and degree of pain. This statement has been thoroughly investigated and while some articles confirm a beneficial effect of single-port VATS in terms of postoperative pain, blood loss and LOS, others have confirmed similar effects or even superiority of multi-port VATS [87]. In our meta-analysis, we did not see relevant differences in pain scores regarding this controversial topic. With respect to our subgroup analysis of RCTs versus non-RCTs, TEA and continuous regional analgesia showed slightly higher pain scores in the RCTs, single-shot regional analgesia showed the same pain scores for both groups and systemic analgesia reported higher pain scores in non-RCTs. Well-performed RCTs [35, 37, 59–61, 65, 72, 80] with standardized well-reported outcomes showed lower pain scores. The GRADE system offered additional understanding on the quality of evidence of the different outcome measures resulting from this systematic review and meta-analysis. The meta-analysis for pain scores originating from the regional single-shot and the systemic analgesia groups contain numerous randomized clinical trials, which might offer a true effect that lies close to that of the estimate of the effect. The same accounts for large sample sizes with narrow CIs in outcomes such as PONV and postoperative complications, contributing to a lower heterogeneity for the studies in the meta-analysis. Outcomes throughout the different analgesic groups vary in the quality of the evidence; the use of additional opioids being the outcome that scored the lowest quality of evidence across all different analgesic techniques, making conclusions regarding this outcome challenging.
This is the first attempt to explore all written literature about analgesic technique after thoracoscopic anatomical lung resection. Beforehand, we did not anticipate such a significant heterogeneity between studies precluding valid pooling of the analgesic techniques using an analytic meta-analysis. Nevertheless, we present the meta-analysis in this paper, aiming to explore the possible causes. The forced exploratory nature of our meta-analysis is the most important limitation to be addressed, not allowing definite conclusions on which analgesic approach is to be recommended. Small sample sizes, local analgesic protocols, implementation of ERATS, cultural differences in assessing pain, study designs and the subjective nature of pain may all have played an important role leading to high inter-study variability. Subgroup analysis of objective factors such as single or multi-port VATS and randomized or non-randomized trials did not lower the heterogeneity. Moreover, only analysing means or medians without transformation from medians to means did also not lower the heterogeneity (Supplementary Material, Appendix I). Other possible factors influencing outcomes are the number of chest tubes [88] but these were not described in most studies, as well as possible era bias, although almost all (except 1) included studies were published after 2012. Another limitation is that we only selected studies that reported pain scores, possibly limiting the external applicability regarding secondary outcomes. The included studies mainly used mean pain scores as primary outcome, whereas evidence suggests that reporting pain scores into a small number of categories provides greater clinical significance [89]. Whether pain scores are to be reported as means, medians or categorical variables remain a topic of discussion [90]. We believe an alternative outcome such as looking at the proportion of moments of pain (NRS ≥ 4) indicates a more clinically significant outcome when reporting pain.
CONCLUSION
Although this systematic review on optimal pain management after thoracoscopic anatomical lung resection reveals that most recent guidelines tend to advocate less invasive unilateral regional techniques for analgesia, our attempt to pool results for an analytic meta-analysis demonstrates the complexity and variability in the published literature. Systematically evaluating the available evidence, we cannot discourage nor encourage the use of TEA. In order to provide more rigorous clinical evidence, a well-designed large, randomized trial comparing continuous or single-shot unilateral regional analgesia techniques to TEA is indispensable.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Bart de Vries for his help with the systematic literature research and Marta Regis and Jeanne Dieleman for their advice on statistics and methodology on how to perform and analyse the risk of bias in systematic reviews and meta-analysis. Furthermore, we kindly thank Judith ter Schure for her advice as systematic review and meta-analysis expert.
Glossary
ABBREVIATIONS
- CI
Confidence interval
- GRADE
Grading of Recommendations Assessment, Development and Evaluation
- ICNB
Intercostal nerve block
- LOS
Length of hospital stay
- NRS
Numeric Rating Scale
- NSAIDs
Non-steroidal anti-inflammatory drugs
- PONV
Postoperative nausea and vomiting
- PVB
Paravertebral block
- RCT(s)
Randomized controlled trial(s)
- RoB-2
Risk of Bias tool
- ROBINS-I
Risk of Bias tool for Nonrandomised Studies for Interventions
- SD
Standard deviation
- TEA
Thoracic epidural analgesia
- VATS
Video-assisted thoracoscopic surgery
Contributor Information
Louisa N Spaans, Department of Surgery, Máxima Medical Center, Veldhoven, Netherlands.
Jelle E Bousema, Department of Surgery, Máxima Medical Center, Veldhoven, Netherlands.
Patrick Meijer, Department of Anesthesiology, Máxima Medical Center, Veldhoven, Netherlands.
R A (Arthur) Bouwman, Department of Anesthesiology, Intensive Care and Pain Medicine, Catharina Hospital, Eindhoven, Netherlands.
Renee van den Broek, Department of Anesthesiology, Intensive Care and Pain Medicine, Catharina Hospital, Eindhoven, Netherlands.
Jo Mourisse, Department of Anaesthesiology, Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, Netherlands.
Marcel G W Dijkgraaf, Department of Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Ad F T M Verhagen, Department of Cardiothoracic Surgery, Radboud University Medical Center, Nijmegen, Netherlands.
Frank J C van den Broek, Department of Surgery, Máxima Medical Center, Veldhoven, Netherlands.
SUPPLEMENTARY MATERIAL
Supplementary material is available at ICVTS online.
Funding
This systematic review and meta-analysis is part of the OPtriAL project funded by ZonMw (project number 10140021910007). This project aims to improve postoperative pain management after lung surgery. The funding and involved (academic) institutions have no involvement in the study design, data-analysis and interpretation of the results. Publication of the article has no conflicts of interest.
Conflict of interest: Louisa N. Spaans and Frank J.C. van den Broek report a funding grant from ZonMw during the elaboration of this study. The remaining authors declare no conflict of interest.
Data availability
Data underlying this article are available in the article and in the Supplementary Material.
Author contributions
Louisa N. Spaans: Conceptualization; Data curation; Formal analysis; Funding acquisition; Investigation; Methodology; Project administration; Resources; Software; Writing—original draft; Writing—review & editing. Jelle E. Bousema: Conceptualization; Data curation; Formal analysis; Writing—review & editing. Patrick Meijer: Conceptualization; Writing—review & editing. R.A. (Arthur) Bouwman: Supervision; Validation; Writing—review & editing. Renee van den Broek: Supervision; Validation; Writing—review & editing. Jo Mourisse: Conceptualization; Supervision; Validation; Writing—review & editing. Marcel G.W. Dijkgraaf: Conceptualization; Data curation; Methodology; Supervision; Validation; Writing—review & editing. Ad F.T.M. Verhagen: Supervision; Writing—review & editing. Frank J.C. van den Broek: Conceptualization; Investigation; Methodology; Supervision; Validation; Writing—original draft; Writing—review & editing.
Reviewer information
Interdisciplinary CardioVascular and Thoracic Surgery thanks Clemens Aigner, Lucio Cagini and the other, anonymous reviewer(s) for their contribution to the peer review process of this article.
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