Next Article in Journal
Age Stratification in Acute Ischemic Stroke Patients with Heart Failure
Previous Article in Journal
Donor-Specific Cell-Free DNA qPCR Quantification as a Noninvasive Accurate Biomarker for Early Rejection Detection in Liver Transplantation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Incidence and Associations of Acute Kidney Injury after General Thoracic Surgery: A System Review and Meta-Analysis

1
Department of Anesthesiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310000, China
2
Department of Anesthesiology, Haining People’s Hospital, Haining 314499, China
*
Authors to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(1), 37; https://doi.org/10.3390/jcm12010037
Submission received: 3 November 2022 / Revised: 11 December 2022 / Accepted: 15 December 2022 / Published: 21 December 2022
(This article belongs to the Section Anesthesiology)

Abstract

:
(1) Background: Acute kidney injury (AKI) is related to adverse outcomes in critical illness and cardiovascular surgery. In this study, a systematic literature review and meta-analysis was carried out to evaluate the incidence and associations of AKI as a postoperative complication of thoracic (including lung resection and esophageal) surgical procedures. (2) Methods: Adopting a systematic strategy, the electronic reference databases (PubMed, EMBASE, and Cochrane Library) were searched for articles researching postoperative renal outcomes that were diagnosed using RIFLE, AKIN or KDIGO consensus criteria in the context of a thoracic operation. A random-effects model was applied to estimate the incidence of AKI and, where reported, the pooled relative risk of mortality and non-renal complications after AKI. The meta-analysis is registered in PROSPERO under the number CRD42021274166. (3) Results: In total, 20 studies with information gathered from 34,826 patients after thoracic surgery were covered. Comprehensively, the incidence of AKI was estimated to be 8.8% (95% CI: 6.7–10.8%). A significant difference was found in the mortality of patients with and without AKI (RR = 2.93, 95% CI: 1.79–4.79, p < 0.001). Additionally, in patients experiencing AKI, cardiovascular and respiratory complications were more common (p = 0.01 and p < 0.001, respectively). (4) Conclusions: AKI is a common complication associated with adverse outcomes following general thoracic surgery. An important issue in perioperative care, AKI should be considered as a highly significant prognostic indicator and an attractive target for potential therapeutic interventions, especially in high-risk populations.

1. Introduction

With the advancement of medical science, the number of people diagnosed with pulmonary nodules or esophageal disease is steadily increasing [1,2]. Surgical tumor resection remains a mainstay of treatment and appears to be curative in most cases of primary cancer [3,4]. The practice of perioperative fluid restriction for the purpose of decreasing perioperative lung injury may increase the risk of renal insufficiency in patients undergoing thoracic surgery because of relative hypovolemia [3,5].
Acute kidney injury (AKI) is increasingly recognized as a common and serious complication after thoracic surgery, with incidence levels ranging from 2.2% to 35.3% [6,7,8], and it is related to long-term adverse consequences, including the progression to chronic kidney disease (CKD), as well as higher rates of cardiovascular disease and mortality [9,10,11,12]—even if renal function is clearly recovered at the time of discharge [5,8,12]. Hence, this might be significative of how, as a measurable signal of a prognostic indicator, postoperative AKI can be targeted for treatment.
In recent years, several meta-analyses associated with AKI have been performed in the context of cardiovascular and abdominal surgery [13,14,15,16,17,18]. The incidence of AKI after thoracic surgery is second only to that for cardiovascular surgery and general surgery [17,19], but no systematic review has been conducted on this subject.
For this reason, a systematic review and meta-analysis was conducted in order to summarize the incidence of AKI in the context of general thoracic surgery and explore the relationship between AKI and other postoperative complications.

2. Materials and Methods

The meta-analysis was conducted in accordance with PRISMA and MOOSE guidelines [20,21], and the study followed the guidance of the STROBE evaluation method [22]. The protocol for this study is registered in PROSPERO under the number CRD42021274166.

2.1. Study Selection

Studies were included if they met the following eligibility criteria: (1) they were retrospective or prospective observational studies that provided data on the incidence of AKI after general thoracic surgery; (2) AKI was defined by any of the following consensus definitions: RIFLE (risk, injury failure, loss, end stage), AKIN (acute kidney injury network), or KDIGO (kidney disease improving global outcomes) [23,24,25]. Exclusion criteria included studies in which the diagnosis of AKI was based on diagnostic codes or the need for renal replacement therapy and studies in which cardiovascular surgery was reported.

2.2. Search Strategy

We electronically searched PubMed, EMBASE, and the Cochrane Library for original articles published from database inceptions in peer-reviewed journals excluding case studies, letters, reviews, minutes, and summary publications. The most recent search was performed on 11 June 2022. We used the following terms mapped to standard medical subject headings and free-text words for literature searches: AKI, acute kidney injury, renal failure, kidney failure, lung surgery, thoracic surgery, and esophageal surgery. Moreover, we manually reviewed the reference lists of all included studies and those from relevant reviews and meta-analyses in order to identify additional studies. The search was not limited by any restrictions on language. Supplementary Data S1 presents the detailed search strategy adapted for each database.
Two investigators (Y.Y. and S.X.) independently and sequentially reviewed the retrieved articles to determine their eligibility. Any disagreement between the review authors was resolved through consensus, or where necessary, by a third party (B.Y.) until a consensus was reached. EndNote 20.0 literature management software was used for the screening process.

2.3. Data Abstraction

The following information was obtained from the study using a structured data collection form: the title of the article, date of publication, country where the research was conducted, study design, diagnostic criteria for AKI, risk factors for AKI, incidence of AKI, incidence of severe AKI requiring renal replacement therapy (RRT), frequency of other postoperative complications (pulmonary complications including atelectasias, pneumonia, and respiratory failure, as well as cardiac complications including myocardial infarct, unstable arrhythmias, and congestive heart failure), length of hospital stay, and mortality (in-hospital mortality and 30-day mortality).

2.4. Study Quality

The quality of each study was independently assessed by two authors (B.Y. and H.Z.) using the Newcastle–Ottawa scale, which is one of the methods for measuring the quality of observational studies [26]. Any disagreement between the review authors was resolved through consensus, or where necessary, by a third party (X.T.). Studies were allocated a maximum of 9 points in value and defined as good (7–9), fair (4–6), or poor (0–3).

2.5. Statistical Analysis

Analyses were performed utilizing STATA version 16.0 (STATA Corp., College Station, TX, USA). Summary effect sizes were calculated as relative risks (RR) with 95% confidence intervals (95% CI) for dichotomous outcomes. To explain the presence of the possibility of between-study heterogeneity, data synthesis was conducted using a random-effects model, including the pooled effects of AKI in all studies as well as the relative risks of non-renal complications in patients with AKI. The I2 index (>50% indicating medium-to-high heterogeneity) and Cochran’s Q test (p < 0.05 for statistical significance) were utilized to determine the between-study heterogeneity. We conducted sensitivity analyses as well as a funnel plot analysis and the Egger test for publication bias.

3. Results

In total, our search identified 1260 records of which 113 records were removed as duplicates and a further 1091 records were excluded for not meeting our eligibility criteria upon the screening of the title and abstract. After a full-text examination, 18 studies met our selection criteria [5,6,7,8,9,10,11,12,27,28,29,30,31,32,33,34,35,36]. The reference lists for the bibliographies of the text articles were screened, which revealed two reports that met our inclusion criteria [19,37]. Finally, 20 studies including 34,826 patients in all reporting AKI outcomes in the setting of thoracic surgery were included in our analysis. The study identification and selection procedures are presented in Figure 1. Table 1 presents the clinical characteristics of all the included studies.
Of the 20 studies analyzed, 15 were retrospective observational studies [5,6,7,9,19,27,28,29,30,31,33,34,35,36,37], 4 were prospective observational studies [8,11,12,32], and 1 was a retrospective nested case-control study [10]. Two studies documented mixed thoracic surgical populations [19,29], thirteen documented lung surgical populations [5,7,9,11,12,27,30,32,33,34,35,36,37], and five were of esophageal surgical populations [6,8,10,28,31]. As for the quality of the included studies, 18 studies scored a 7 [5,6,7,8,9,11,12,19,27,28,29,30,31,32,34,35,36,37] and 2 scored a 9 [10,33] (Table S1).

3.1. Incidence of AKI among Patients after Thoracic Surgery

From the meta-analysis, the pooled estimated incidence of AKI amongst the included studies was 8.8% (95% CI: 6.7–10.8%, I2 = 98.3%). From the 13 studies [5,6,8,9,11,12,19,27,28,29,34,35,36] where the stage of AKI was reported, 78.4% of patients with AKI had Stage 1 or RIFLE-R, 14.2% had Stage 2 or RIFLE-I, and 7.3% had Stage 3 or RIFLE-F (Table S2). In contrast, the rates of postoperative RRT were low, ranging from 0 to 1.85% [6,8,9,11,12,19,28,29,30,31,32,35,36] (Table 1). Five studies reported renal outcomes in patients with AKI when stratified by the KDIGO AKI staging criteria [5] or AKIN grade [8,12,30,31]. The incidence of AKI decreased over time, and more than 70% of patients’ symptoms had resolved at discharge, with the recovery of their serum creatinine levels to normal values.
A subgroup analysis was carried out to explore the effects of different diagnostic criteria and surgical sub-categories on the incidence of AKI. There were no significantly different results found between the first two subgroups listed (p = 0.136 and p = 0.203, respectively, Table 2), while huge heterogeneity existed between the studies overall. Risk factors potentially related to the development of AKI were examined in some studies, and patients with pre-existing renal disease were significantly more likely to develop AKI. Twelve studies excluded patients with hemodialysis preoperatively, among which the preoperative eGFR < 15 mL/min/1.73 m2 [33,35,36]; only one study emphasized that the study population was derived from a cohort consisting of only patients with an eGFR ≥ 60 mL/min/1.73 m2 [19]. Three studies enrolled patients with normal renal function [7] (normal preoperative SCr and BUN [28], or excluding SCr > 2 mg/dL [12]). However, we did not find a difference in the pooled incidence rate at 9.3% (4.8–13.8%) versus at 9.4% (6.8–12.0%) versus at 4.6% (0.9–8.2%) (p = 0.092, Table 2) among the five studies examining unselected patients [8,30,32,34,37] or among the studies excluding hemodialysis preoperatively [5,6,9,10,11,19,27,29,31,33,35,36] and normal patients [7,12,28].
A meta-regression analysis of all the included studies demonstrated that the year of the study had no effect on the incidence of AKI (p = 0.162, I2 = 98.15%, R2 = 3.06%) among patients after thoracic surgery.

3.2. Mortality and Complications Risk of AKI in Patients after Thoracic Surgery

The incidence of mortality for patients with and without AKI after undergoing thoracic surgical procedures was reported in 10 studies [5,6,8,9,11,27,28,29,31,32] (Table S3), among which 8 studies reported the in-hospital mortality, 2 studies reported the 30-day mortality, and only 1 reported the long-term mortality. The pooled RR of in-hospital or 30-day mortality among patients with AKI was 4.50 (RR = 4.50, 95% CI: 2.10–9.66, p < 0.001). While heterogeneity was statistically significant (range of RR 1.25–30.0), only four studies [27,28,29,32] found a significantly increased mortality rate among the patients experiencing AKI (Table S3). When excluding RIFLE criteria [5,6,8,9,11,28,29,31,32], there was still a significant difference in the mortality of patients (RR =2.93, 95% CI: 1.79–4.79, p < 0.001) (Figure 2).
There were five studies [8,11,27,29,32] that reported the rates of postoperative pulmonary complications and cardiac complications, among which we counted the one with the most cases. The pooled effect demonstrated the incidence of cardiovascular and respiratory complications was significantly higher in patients with AKI than in those without AKI (RR = 2.26, 95% CI: 1.22–4.16, p = 0.01, Figure S1; RR = 3.29, 95% CI: 2.48–4.35, p < 0.001, Figure S2, respectively). Similarly, nine studies [6,8,9,11,27,29,31,32,36] reported the length of postoperative stay, which demonstrated a significant increase in the amounts of patients with postoperative AKI. We did not pool the effect size due to statistical heterogeneity.

3.3. Evaluation for Publication Bias and Sensitivity Analyses

The validity of the use of funnel plots as a means for detecting publication bias is affected by small studies of low quality, which can cause funnel-plot asymmetry [38]. Small-study effects can be observed due to real differences and the publication bias is only one of the potential reasons for this [39]. There are other possible biases, such as the intensity of intervention and differences in the underlying risk that may also lead to funnel-plot asymmetry. Therefore, in addition to a funnel plot (Figure S3), we conducted Egger’s regression test for quantitative data and small-study effects. No significant publication bias was found in our meta-analysis, p = 0.209. We also performed a sensitivity analysis by sequentially removing each study, which showed a stable effect for each individual study (Figure S4).

4. Discussion

In this meta-analysis, AKI was a relatively common complication in patients undergoing thoracic surgery with a pooled incidence rate of 8.8%, which is comparatively lower than for other types of surgery such as cardiac surgery (approximately 20–30%) [18], thoracic and abdominal aortic surgery (approximately 10–30%) [40], and major abdominal surgery (approximately 15%) [17]. In addition, the majority of patients with postoperative AKI had a case which was mild in severity, and less than 0.5% of patients in most studies experienced severe AKI requiring RRT [9,11,12,19,29,30,31,35,36]. Where renal recovery after AKI was reported, the AKI had resolved at discharge in more than 70% of patients [5,8,12,30], and in the majority of patients, long-term renal function returned to normal [8]. However, we were unable to obtain a pooled analysis of the rates of renal recovery due to differing definitions and methods of assessment. Nevertheless, we did observe from the studies that quite a few patients who experienced AKI had ongoing renal dysfunction or even required renal replacement therapy [6,8,28,32].
Despite the low incidence, patients who experience AKI after thoracic surgery still experience prolonged hospital stays and increased mortality [6,8,9,11,27,29,31,32,36]. Even though the RIFLE classification has several important limitations, it may affect the early diagnosis and treatment of AKI and increase mortality [41,42]; we did find a significant difference in the mortality of patients with or without AKI when excluding the study adapting RIFLE criteria [5,6,8,9,11,28,29,31,32]. Regretfully, none of the studies reported a correlation between the duration of renal impairment and the risk of mortality post thoracic surgery. Only one showed that the mortality risk tended to become progressively greater with the advancing stages of AKI [27], and another one found a significant difference in the long-term mortality of patients [32]. Interestingly, Samuel et al. found that surgical procedures were related to a lower risk of death; we suspect that the results are attributable to the selection of a healthy patient with the highest benefit for selective surgery and the resolution of the self-limited conditions fixed to selective surgery [43]. Moreover, even slight AKI is still related to adverse events, such as the development of cardiovascular and pulmonary complications. Thus, perioperative prophylaxis and treatment remain critically important to the prevention of postoperative renal injury.
On the other hand, substantial heterogeneity was found in the rate of AKI, even though our analysis focused on studies using consensus AKI definitions. Contrary to our expectation, the incidence of AKI did not significantly differ in our subgroup analysis, and the heterogeneity amongst all the studies could not be partly explained by these factors. Moreover, we found no significant correlation between the year of the study and the incidence of AKI post thoracic surgery in meta-regression analysis. The incidence of perioperative AKI was basically unchanged despite significant advances in diagnosis, surgical techniques, and perioperative management. [44]. Finding promising therapeutic advances to diagnose and treat perioperative AKI is still a challenge.
The perioperative period is when special pathophysiological conditions challenge the diagnosis of AKI, such as muscle injury, volume overload or hypovolemia, and the release of aldosterone and vasopressin from stress [45,46], which may well have an impact on the measurements of creatinine levels and oliguria [35,36,47,48]. Doctors and researchers have striven to find a “troponin-equivalent” marker for the precise identification of patients with AKI at an early stage, such as cystatin C, kidney injury molecule-1, or neutrophil gelatinase-associated lipocalin [49,50,51]. What is more, the urinary biomarkers tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin growth factor-binding protein 7 (IGFBP7) have been approved to help in identifying patients at a high risk for AKI in some interventional studies in cardiac and visceral surgery settings [52,53,54], as well as for improving the prediction levels of RRT and 30-day mortality after cardiac surgery [55]. The advantage is that they are able to detect kidney stress prior to injury or loss of function, allowing for much earlier therapy as compared to management guided by serum creatinine and urine output [54].
The mechanism of connection between surgery and AKI is still complex. The neuroendocrine response to hypotension, inflammation, and surgical trauma could probably damage kidney perfusion [29,34,56,57]. The reduction in renal blood flow and the reduction of renal oxygen supply lead to renal tissue hypoxia, which causes a cascade and further increases systemic inflammation [58,59]. AKI should be considered as a multi-organ system problem leading to dysfunction in the pulmonary, cardiac, neurologic, immunologic, and gastrointestinal systems, especially in high-risk groups [58].
The detrimental risk factors for AKI of a long anesthesia/surgery time, a complex surgical procedure, peri-operative hypotension and hypertension, blood loss, and ventilator-induced lung injury are well-recognized. In our review, a total of 16 studies reported AKI-associated risk factors using a multivariate or adjusted model. The reported risk factors for AKI are shown in Table 3. Old age [5,8,12,19,28,36], ASA 3 or 4 [12,27,30,32], higher body mass (BMI) [6,8,19,30,31], reduced baseline estimated glomerular filtration rate(eGFR) [9,19,29,35], low serum albumin concentration [6,29,36], diabetes mellitus (DM) [19,28,29,36], hypertension [9,10,11,19,30,32,36], the use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARB) [6,9,19,29,36], undergoing a thoracotomy procedure [9,11,29,30], and prolonged surgery time [10,12,27,32] were examined and identified. We found that the preoperative serum creatinine level was a significant indicator for AKI in several studies excluding hemodialysis [10,11,31,36]. Quantitative analysis was not possible due to the lack of individual data.
There are conflicting data on the application of ACEIs/ARBs to AKI. ACEIs/ARBs have been commonly prohibited preoperatively to prevent intraoperative hypotension [49,50,51,60,61]. While some other researchers have argued that the beneficial pleiotropic effects of ACEIs/ARBs go far beyond blood pressure reduction, ACEIs/ARBs can improve renal recovery or reduce the fibrotic processes of renal function impairment after AKI, which is associated with a better prognosis for patients with AKI [62,63]. Quite a few studies have identified that preoperative hypoalbuminemia was independently associated with AKI [6,29,36]. Li et al. discussed how serum albumin may have some reno-protective effects in improving renal perfusion, binding endogenous toxins and nephrotoxic drugs, and scavenging reactive oxygen species [64]. Wiedermann et al. performed a meta-analysis that determined hypoalbuminemia was an independent predictor of AKI and AKI- related deaths [65]. As for the colloid infusion during surgery, there is no consensus [66], while hydroxyethyl starch solutions should be used with caution in high-risk patients undergoing thoracic surgery and have been discouraged in recent years [6,9,29].
Developing successful therapies to treat AKI has always been an elusive effort. Numerous agents (N-Acetylcysteine, the lipid-lowering 3-hydroxy-3-methylglutaryl coenzyme, dexmedetomidine, and so on) have shown promise [67,68,69], while clinical effectiveness varies between studies and the current evidence does not confirm the effectiveness of the agents in the treatment or prevention of AKI [30,70,71]. A single measure for prevention and therapy measures for AKI do not work well in clinical practice. A combination of treatments—including nutritional support [72] and glycemic control [25], minimizing nephrotoxic medication exposure [73], and hemodynamic optimization [29,34,74,75]—have largely been studied. Recently, new biomarkers of AKI have been discovered and validated [49,50,51,55]. In general, a combination of the biomarkers (urinary TIMP-2 and IGFBP7) for the early detection of perioperative kidney damage and accelerated intervention schemes seems to be the basis for AKI prophylaxis and treatment in surgical settings [52,55].
There are several limitations to our meta-analysis. Firstly, there are statistical heterogeneities in our meta-analysis. Subgroup analyses and meta-regression analysis cannot adequately explain the considerable heterogeneity. Secondly, AKI diagnosis in our analysis was mainly based on changes in serum creatinine and urine output, and there is limited data on novel biomarkers of AKI. Lastly, all the studies we included were observational studies. Thus, we merely demonstrated an association between AKI and increased complications after thoracic surgery, and the causality still needs to be confirmed by a large number of clinical trials or population-based studies of high quality.
In summary, AKI is a common complication following general thoracic surgery and is associated with an increased risk of further non-renal postoperative complications and mortality. Despite the progress in perioperative management, the incidence of AKI in patients does not appear to have improved, suggesting the need for a greater attention to AKI following thoracic surgery, especially in particular populations.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm12010037/s1, Supplementary Data S1. Search terms for systematic review. Table S1. Newcastle-Ottawa Scale for assessing the quality of studies in meta-analysis. Table S2. Reported stage of postoperative AKI. Table S3. Rate of postoperative mortality in patients with/without postoperative AKI. Figure S1. Forest plot of cardiovascular complications in patients with/without postoperative AKI. Figure S2. Forest plot of respiratory complications in patients with/without postoperative AKI. Figure S3. Funnel plot from all trials. Figure S4. Sensitivity analysis by sequentially removing each study.

Author Contributions

Conceptualization, S.Z. and Y.Y.; Data Curation, Y.Y., S.X., B.Y. and H.Z.; Methodology, Y.Y., S.X. and X.T.; Formal Analysis, Y.Y., S.X., X.T. and B.Y.; Software, X.T. and B.Y.; Validation, B.Y., H.Z. and C.P.; Resources, Y.Y. and X.T.; Visualization, Y.Y., B.Y. and C.P.; Investigation, Y.Y., S.X., B.Y. and X.T.; Supervision, C.P. and S.Z.; Project Administration, S.Z. and Y.Y.; Writing—Original Draft Preparation, Y.Y.; Writing—Review and Editing, Y.Y., S.X., B.Y., X.T., H.Z., C.P. and S.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

We acknowledge all of the staff who helped us to perform this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Nooreldeen, R.; Bach, H. Current and Future Development in Lung Cancer Diagnosis. Int. J. Mol. Sci. 2021, 22, 8661. [Google Scholar] [CrossRef] [PubMed]
  2. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  3. Kaufmann, K.B.; Stein, L.; Bogatyreva, L.; Ulbrich, F.; Kaifi, J.T.; Hauschke, D.; Loop, T.; Goebel, U. Oesophageal Doppler guided goal-directed haemodynamic therapy in thoracic surgery—A single centre randomized parallel-arm trial. Br. J. Anaesth. 2017, 118, 852–861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Saftic, I.; Bille, A.; Asemota, N.; Berjon de la Vega, L.; Routledge, T.; King, J.; Phipps, K.H.; Pilling, J. Risks and rewards of the surgical treatment of lung cancer in octogenarians. Interact. Cardiovasc. Thorac. Surg. 2021, 33, 905–912. [Google Scholar] [CrossRef] [PubMed]
  5. Naruka, V.; McKie, M.A.; Khushiwal, R.; Clayton, J.; Aresu, G.; Peryt, A.; Villar, S.S.; MacKay, J.; Coonar, A.S. Acute kidney injury after thoracic surgery: A proposal for a multicentre evaluation (MERITS). Interact. Cardiovasc. Thorac. Surg. 2019, 29, 861–866. [Google Scholar] [CrossRef] [Green Version]
  6. Lee, E.H.; Kim, H.R.; Baek, S.H.; Kim, K.M.; Chin, J.H.; Choi, D.K.; Kim, W.J.; Choi, I.C. Risk factors of postoperative acute kidney injury in patients undergoing esophageal cancer surgery. J. Cardiothorac. Vasc. Anesth. 2014, 28, 936–942. [Google Scholar] [CrossRef]
  7. Wu, Y.; Zhou, Y.; Gao, S.; Du, C.; Yao, L.; Yang, R. Effects of preoperative pulmonary function on short-term outcomes and overall survival after video-assisted thoracic surgery lobectomy. Ann. Transl. Med. 2021, 9, 1651. [Google Scholar] [CrossRef]
  8. Murphy, C.F.; Dunne, T.; Elliott, J.A.; Kamarajah, S.K.; Leighton, J.; Evans, R.P.T.; Bundred, J.; King, S.; Ravi, N.; Donohoe, C.L.; et al. Acute Kidney Injury After Esophageal Cancer Surgery: Incidence, Risk Factors, and Impact on Oncologic Outcomes. Ann. Surg. 2022, 275, e683–e689. [Google Scholar] [CrossRef]
  9. Ishikawa, S.; Griesdale, D.E.; Lohser, J. Acute kidney injury after lung resection surgery: Incidence and perioperative risk factors. Anesth. Analg. 2012, 114, 1256–1262. [Google Scholar] [CrossRef]
  10. Wang, W.; Wang, T.; Feng, X.; Sun, L. Incidence and risk factors of acute kidney injury after esophageal cancer surgery: A nested case-control study. Int. J. Surg. 2017, 39, 11–15. [Google Scholar] [CrossRef]
  11. Cardinale, D.; Cosentino, N.; Moltrasio, M.; Sandri, M.T.; Petrella, F.; Colombo, A.; Bacchiani, G.; Tessitore, A.; Bonomi, A.; Veglia, F.; et al. Acute kidney injury after lung cancer surgery: Incidence and clinical relevance, predictors, and role of N-terminal pro B-type natriuretic peptide. Lung Cancer. 2018, 123, 155–159. [Google Scholar] [CrossRef] [PubMed]
  12. Assaad, S.; Kyriakides, T.; Tellides, G.; Kim, A.W.; Perkal, M.; Perrino, A. Extravascular Lung Water and Tissue Perfusion Biomarkers After Lung Resection Surgery Under a Normovolemic Fluid Protocol. J. Cardiothorac. Vasc. Anesth. 2015, 29, 977–983. [Google Scholar] [CrossRef] [PubMed]
  13. Wang, J.; Yu, W.; Gao, M.; Gu, C.; Yu, Y. Preoperative Prophylactic Intraaortic Balloon Pump Reduces the Incidence of Postoperative Acute Kidney Injury and Short-Term Death of High-Risk Patients Undergoing Coronary Artery Bypass Grafting: A Meta-Analysis of 17 Studies. Ann. Thorac. Surg. 2016, 101, 2007–2019. [Google Scholar] [CrossRef] [Green Version]
  14. Thongprayoon, C.; Lertjitbanjong, P.; Cheungpasitporn, W.; Hansrivijit, P.; Fulop, T.; Kovvuru, K.; Kanduri, S.R.; Davis, P.W.; Vallabhajosyula, S.; Bathini, T.; et al. Incidence and impact of acute kidney injury on patients with implantable left ventricular assist devices: A Meta-analysis. Ren. Fail. 2020, 42, 495–512. [Google Scholar] [CrossRef] [PubMed]
  15. Tinica, G.; Brinza, C.; Covic, A.; Popa, I.V.; Tarus, A.; Bacusca, A.E.; Burlacu, A. Determinants of acute kidney injury after cardiac surgery: A systematic review. Rev. Cardiovasc. Med. 2020, 21, 601–610. [Google Scholar] [PubMed]
  16. Fernandes, M.; Majoni, M.; Garg, A.X.; Dubois, L. Systematic Review and Meta-Analysis of Preventative Strategies for Acute Kidney Injury in Patients Undergoing Abdominal Aortic Aneurysm Repair. Ann. Vasc. Surg. 2021, 74, 419–430. [Google Scholar] [CrossRef] [PubMed]
  17. O’Connor, M.E.; Kirwan, C.J.; Pearse, R.M.; Prowle, J.R. Incidence and associations of acute kidney injury after major abdominal surgery. Intensive Care Med. 2016, 42, 521–530. [Google Scholar] [CrossRef]
  18. Hu, J.; Chen, R.; Liu, S.; Yu, X.; Zou, J.; Ding, X. Global Incidence and Outcomes of Adult Patients With Acute Kidney Injury After Cardiac Surgery: A Systematic Review and Meta-Analysis. J. Cardiothorac. Vasc. Anesth. 2016, 30, 82–89. [Google Scholar] [CrossRef]
  19. Grams, M.E.; Sang, Y.; Coresh, J.; Ballew, S.; Matsushita, K.; Molnar, M.Z.; Szabo, Z.; Kalantar-Zadeh, K.; Kovesdy, C.P. Acute Kidney Injury After Major Surgery: A Retrospective Analysis of Veterans Health Administration Data. Am. J. Kidney Dis. 2016, 67, 872–880. [Google Scholar] [CrossRef] [Green Version]
  20. Stroup, D.F.; Berlin, J.A.; Morton, S.C.; Olkin, I.; Williamson, G.D.; Rennie, D.; Moher, D.; Becker, B.J.; Sipe, T.A.; Thacker, S.B. Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000, 283, 2008–2012. [Google Scholar] [CrossRef]
  21. Moher, D.; Shamseer, L.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst. Rev. 2015, 4, 1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet 2007, 370, 1453–1457. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Bellomo, R.; Ronco, C.; Kellum, J.A.; Mehta, R.L.; Palevsky, P. Acute renal failure—definition, outcome measures, animal models, fluid therapy and information technology needs: The Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit. Care 2004, 8, R204–R212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Mehta, R.L.; Kellum, J.A.; Shah, S.V.; Molitoris, B.A.; Ronco, C.; Warnock, D.G.; Levin, A.; Acute Kidney Injury, N. Acute Kidney Injury Network: Report of an initiative to improve outcomes in acute kidney injury. Crit. Care 2007, 11, R31. [Google Scholar] [CrossRef] [Green Version]
  25. Khwaja, A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin. Pract. 2012, 120, c179–c184. [Google Scholar] [CrossRef]
  26. Stang, A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 2010, 25, 603–605. [Google Scholar] [CrossRef] [Green Version]
  27. Licker, M.; Cartier, V.; Robert, J.; Diaper, J.; Villiger, Y.; Tschopp, J.M.; Inan, C. Risk factors of acute kidney injury according to RIFLE criteria after lung cancer surgery. Ann. Thorac. Surg. 2011, 91, 844–850. [Google Scholar] [CrossRef]
  28. Ren, H.; Meng, L. Acute kidney injury treatment for elderly patients after esophageal cancer operation. Zhonghua Yi Xue Za Zhi 2015, 95, 2000–2002. [Google Scholar]
  29. Ahn, H.J.; Kim, J.A.; Lee, A.R.; Yang, M.; Jung, H.J.; Heo, B. The Risk of Acute Kidney Injury from Fluid Restriction and Hydroxyethyl Starch in Thoracic Surgery. Anesth. Analg. 2016, 122, 186–193. [Google Scholar] [CrossRef]
  30. Moon, T.; Tsai, J.Y.; Vachhani, S.; Peng, S.P.; Feng, L.; Vaporciyan, A.A.; Cata, J.P. The Use of Intraoperative Dexmedetomidine Is Not Associated With a Reduction in Acute Kidney Injury After Lung Cancer Surgery. J. Cardiothorac. Vasc. Anesth. 2016, 30, 51–55. [Google Scholar] [CrossRef]
  31. Konda, P.; Ai, D.; Guerra, C.E.; Rodriguez-Restrepo, A.; Mehran, R.J.; Rice, D.; Hofstetter, W.; Heir, J.; Kwater, P.; Gottumukkala, V.; et al. Identification of Risk Factors Associated With Postoperative Acute Kidney Injury After Esophagectomy for Esophageal Cancer. J. Cardiothorac. Vasc. Anesth. 2017, 31, 474–481. [Google Scholar] [CrossRef] [PubMed]
  32. Monteserín Matesanz, C.; de la Gala, F.; Rancan, L.; Piñeiro, P.; Simón, C.; Tejedor, A.; Vara, E.; Gonzalez-Cantero, J.L.; Garutti, I. Predictive value of plasma cytokines for acute kidney injury following lung resection surgery: Prospective observational study. Braz. J. Anesthesiol. 2019, 69, 242–252. [Google Scholar] [CrossRef] [PubMed]
  33. Oh, T.K.; Kim, J.; Han, S.; Kim, K.; Jheon, S.; Ji, E. Effect of sevoflurane-based or propofol-based anaesthesia on the incidence of postoperative acute kidney injury: A retrospective propensity score-matched analysis. Eur. J. Anaesthesiol. 2019, 36, 649–655. [Google Scholar] [CrossRef] [PubMed]
  34. Kim, J.A.; Ahn, H.J.; Oh, A.R.; Choi, J. Restrictive intraoperative fluid management was associated with higher incidence of composite complications compared to less restrictive strategies in open thoracotomy: A retrospective cohort study. Sci. Rep. 2020, 10, 8449. [Google Scholar] [CrossRef]
  35. Meng, Z.T.; Mu, D.L. Impact of oliguria during lung surgery on postoperative acute kidney injury. Beijing Da Xue Xue Bao Yi Xue Ban 2020, 53, 188–194. [Google Scholar]
  36. Zhao, B.C.; Lei, S.H.; Yang, X.; Zhang, Y.; Qiu, S.D.; Liu, W.F.; Li, C.; Liu, K.X. Assessment of prognostic value of intraoperative oliguria for postoperative acute kidney injury: A retrospective cohort study. Br. J. Anaesth. 2021, 126, 799–807. [Google Scholar] [CrossRef]
  37. Garutti, I.; De la Gala, F.; Pineiro, P.; Rancan, L.; Vara, E.; Reyes, A.; Puente-Maestu, L.; Bellon, J.M.; Simon, C. Usefulness of combining clinical and biochemical parameters for prediction of postoperative pulmonary complications after lung resection surgery. J. Clin. Monit. Comput. 2019, 33, 1043–1054. [Google Scholar] [CrossRef]
  38. Palmer, T.M.; Sterne, J. Meta-Analysis in Stata; BMJ Publishing Group: London, UK, 2008. [Google Scholar]
  39. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef] [Green Version]
  40. Hobson, C.; Lysak, N.; Huber, M.; Scali, S.; Bihorac, A. Epidemiology, outcomes, and management of acute kidney injury in the vascular surgery patient. J. Vasc. Surg. 2018, 68, 916–928. [Google Scholar] [CrossRef] [PubMed]
  41. Lassnigg, A.; Schmidlin, D.; Mouhieddine, M.; Bachmann, L.M.; Druml, W.; Bauer, P.; Hiesmayr, M. Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: A prospective cohort study. J. Am. Soc. Nephrol. 2004, 15, 1597–1605. [Google Scholar] [CrossRef] [Green Version]
  42. Lopes, J.A.; Jorge, S. The RIFLE and AKIN classifications for acute kidney injury: A critical and comprehensive review. Clin. Kidney J. 2013, 6, 8–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Silver, S.A.; Harel, Z.; McArthur, E.; Nash, D.M.; Acedillo, R.; Kitchlu, A.; Garg, A.X.; Chertow, G.M.; Bell, C.M.; Wald, R. Causes of Death after a Hospitalization with AKI. J. Am. Soc. Nephrol. 2018, 29, 1001–1010. [Google Scholar] [CrossRef] [PubMed]
  44. Gelman, S. Acute Kidney Injury after Surgery: Where Does the Journey Lead? Anesthesiology 2020, 132, 5–7. [Google Scholar] [CrossRef] [PubMed]
  45. Uchino, S. Creatinine. Curr. Opin. Crit. Care 2010, 16, 562–567. [Google Scholar] [CrossRef] [PubMed]
  46. Matot, I.; Paskaleva, R.; Eid, L.; Cohen, K.; Khalaileh, A.; Elazary, R.; Keidar, A. Effect of the volume of fluids administered on intraoperative oliguria in laparoscopic bariatric surgery: A randomized controlled trial. Arch. Surg. 2012, 147, 228–234. [Google Scholar] [CrossRef]
  47. Myles, P.S.; McIlroy, D.R.; Bellomo, R.; Wallace, S. Importance of intraoperative oliguria during major abdominal surgery: Findings of the Restrictive versus Liberal Fluid Therapy in Major Abdominal Surgery trial. Br. J. Anaesth. 2019, 122, 726–733. [Google Scholar] [CrossRef] [PubMed]
  48. Inácio, R.; Gameiro, J.; Amaro, S.; Duarte, M. Intraoperative oliguria does not predict postoperative acute kidney injury in major abdominal surgery: A cohort analysis. J. Bras. Nefrol. 2021, 43, 9–19. [Google Scholar] [CrossRef]
  49. Huo, W.; Zhang, K.; Nie, Z.; Li, Q.; Jin, F. Kidney injury molecule-1 (KIM-1): A novel kidney-specific injury molecule playing potential double-edged functions in kidney injury. Transplant. Rev. 2010, 24, 143–146. [Google Scholar] [CrossRef]
  50. Sinna, M.M.; Altaf, F.M.N.; Mosa, O.F. Serum and Urinary NGAL and Cystatin C Levels as Diagnostic Tools for Acute Kidney Injury and Chronic Kidney Disease: A Histobiochemical Comparative Study. Curr. Pharm. Des. 2019, 25, 1122–1133. [Google Scholar] [CrossRef]
  51. Yi, A.; Lee, C.H.; Yun, Y.M.; Kim, H.; Moon, H.W.; Hur, M. Effectiveness of Plasma and Urine Neutrophil Gelatinase-Associated Lipocalin for Predicting Acute Kidney Injury in High-Risk Patients. Ann. Lab. Med. 2021, 41, 60–67. [Google Scholar] [CrossRef]
  52. Meersch, M.; Schmidt, C.; Hoffmeier, A.; Van Aken, H.; Wempe, C.; Gerss, J.; Zarbock, A. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: The PrevAKI randomized controlled trial. Intensive Care Med. 2017, 43, 1551–1561. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Göcze, I.; Jauch, D.; Götz, M.; Kennedy, P.; Jung, B.; Zeman, F.; Gnewuch, C.; Graf, B.M.; Gnann, W.; Banas, B.; et al. Biomarker-guided Intervention to Prevent Acute Kidney Injury After Major Surgery: The Prospective Randomized BigpAK Study. Ann. Surg. 2018, 267, 1013–1020. [Google Scholar] [CrossRef] [PubMed]
  54. Zarbock, A.; Küllmar, M.; Ostermann, M.; Lucchese, G.; Baig, K.; Cennamo, A.; Rajani, R.; McCorkell, S.; Arndt, C.; Wulf, H.; et al. Prevention of Cardiac Surgery-Associated Acute Kidney Injury by Implementing the KDIGO Guidelines in High-Risk Patients Identified by Biomarkers: The PrevAKI-Multicenter Randomized Controlled Trial. Anesth. Analg. 2021, 133, 292–302. [Google Scholar] [CrossRef] [PubMed]
  55. Esmeijer, K.; Schoe, A.; Ruhaak, L.R.; Hoogeveen, E.K.; Soonawala, D.; Romijn, F.; Shirzada, M.R.; van Dissel, J.T.; Cobbaert, C.M.; de Fijter, J.W. The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery. Sci. Rep. 2021, 11, 1071. [Google Scholar] [CrossRef]
  56. Gameiro, J.; Fonseca, J.A.; Neves, M.; Jorge, S.; Lopes, J.A. Acute kidney injury in major abdominal surgery: Incidence, risk factors, pathogenesis and outcomes. Ann. Intensive Care 2018, 8, 22. [Google Scholar] [CrossRef] [Green Version]
  57. Meersch, M.; Schmidt, C.; Zarbock, A. Perioperative Acute Kidney Injury: An Under-Recognized Problem. Anesth. Analg. 2017, 125, 1223–1232. [Google Scholar] [CrossRef]
  58. Yuan, X.; Lee, J.W.; Bowser, J.L.; Neudecker, V.; Sridhar, S.; Eltzschig, H.K. Targeting Hypoxia Signaling for Perioperative Organ Injury. Anesth. Analg. 2018, 126, 308–321. [Google Scholar] [CrossRef]
  59. Singh, P.; Ricksten, S.E.; Bragadottir, G.; Redfors, B.; Nordquist, L. Renal oxygenation and haemodynamics in acute kidney injury and chronic kidney disease. Clin. Exp. Pharmacol. Physiol. 2013, 40, 138–147. [Google Scholar] [CrossRef] [Green Version]
  60. Hollmann, C.; Fernandes, N.L.; Biccard, B.M. A Systematic Review of Outcomes Associated With Withholding or Continuing Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Before Noncardiac Surgery. Anesth. Analg. 2018, 127, 678–687. [Google Scholar] [CrossRef]
  61. Takeuchi, K.; Hayashida, M.; Kudoh, O.; Niimi, N.; Kataoka, K.; Kakemizu-Watanabe, M.; Yamamoto, M.; Hara, A.; Kawagoe, I.; Yamaguchi, K. Continuing versus withholding angiotensin receptor blocker (ARB)/calcium channel blocker (CCB) combination tablets during perioperative periods in patients undergoing minor surgery: A single-blinded randomized controlled trial. J. Anesth. 2022, 36, 374–382. [Google Scholar] [CrossRef]
  62. Norman, J.T.; Stidwill, R.; Singer, M.; Fine, L.G. Angiotensin II Blockade Augments Renal Cortical Microvascular pO2 Indicating a Novel, Potentially Renoprotective Action. Nephron Physiol. 2003, 94, p39–p46. [Google Scholar] [CrossRef] [PubMed]
  63. Gayat, E.; Hollinger, A.; Cariou, A.; Deye, N.; Vieillard-Baron, A.; Jaber, S.; Chousterman, B.G.; Lu, Q.; Laterre, P.F.; Monnet, X.; et al. Impact of angiotensin-converting enzyme inhibitors or receptor blockers on post-ICU discharge outcome in patients with acute kidney injury. Intensive Care Med. 2018, 44, 598–605. [Google Scholar] [CrossRef] [PubMed]
  64. Li, N.; Qiao, H.; Guo, J.F.; Yang, H.Y.; Li, X.Y.; Li, S.L.; Wang, D.X.; Yang, L. Preoperative hypoalbuminemia was associated with acute kidney injury in high-risk patients following non-cardiac surgery: A retrospective cohort study. BMC Anesthesiol. 2019, 19, 171. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Wiedermann, C.J.; Wiedermann, W.; Joannidis, M. Causal relationship between hypoalbuminemia and acute kidney injury. World J. Nephrol. 2017, 6, 176–187. [Google Scholar] [CrossRef] [PubMed]
  66. Degoul, S.; Chazard, E.; Lamer, A.; Lebuffe, G.; Duhamel, A.; Tavernier, B. lntraoperative administration of 6% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: A sequential and propensity-matched analysis. Anaesth. Crit. Care Pain. Med. 2020, 39, 199–206. [Google Scholar] [CrossRef] [PubMed]
  67. He, S.J.; Liu, Q.; Li, H.Q.; Tian, F.; Chen, S.Y.; Weng, J.X. Role of statins in preventing cardiac surgery-associated acute kidney injury: An updated meta-analysis of randomized controlled trials. Ther. Clin. Risk Manag. 2018, 14, 475–482. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Shi, R.; Tie, H.T. Dexmedetomidine as a promising prevention strategy for cardiac surgery-associated acute kidney injury: A meta-analysis. Crit. Care. 2017, 21, 198. [Google Scholar] [CrossRef] [Green Version]
  69. Alsabbagh, M.M.; Asmar, A.; Ejaz, N.I.; Aiyer, R.K.; Kambhampati, G.; Ejaz, A.A. Update on clinical trials for the prevention of acute kidney injury in patients undergoing cardiac surgery. Am. J. Surg. 2013, 206, 86–95. [Google Scholar] [CrossRef]
  70. Zhao, B.C.; Shen, P.; Liu, K.X. Perioperative Statins Do Not Prevent Acute Kidney Injury After Cardiac Surgery: A Meta-analysis of Randomized Controlled Trials. J. Cardiothorac. Vasc. Anesth. 2017, 31, 2086–2092. [Google Scholar] [CrossRef]
  71. Song, J.W.; Shim, J.K.; Soh, S.; Jang, J.; Kwak, Y.L. Double-blinded, randomized controlled trial of N-acetylcysteine for prevention of acute kidney injury in high risk patients undergoing off-pump coronary artery bypass. Nephrology 2015, 20, 96–102. [Google Scholar] [CrossRef]
  72. Piggott, K.D.; Liu, A.; Monczka, J.; Fakioglu, H.; Narasimhulu, S.S.; Pourmoghadam, K.; DeCampli, W. Inadequate preoperative nutrition might be associated with acute kidney injury and greater illness severity postoperatively. J. Thorac. Cardiovasc. Surg. 2018, 155, 2104–2109. [Google Scholar] [CrossRef] [PubMed]
  73. Al Adas, Z.; Lodewyk, K.; Robinson, D.; Qureshi, S.; Kabbani, L.S.; Sullivan, B.; Shepard, A.D.; Weaver, M.R.; Nypaver, T.J. Contrast-induced nephropathy after peripheral vascular intervention: Long-term renal outcome and risk factors for progressive renal dysfunction. J. Vasc. Surg. 2019, 69, 913–920. [Google Scholar] [CrossRef] [PubMed]
  74. Myles, P.S.; Bellomo, R.; Corcoran, T.; Forbes, A.; Peyton, P.; Story, D.; Christophi, C.; Leslie, K.; McGuinness, S.; Parke, R.; et al. Restrictive versus Liberal Fluid Therapy for Major Abdominal Surgery. N. Engl. J. Med. 2018, 378, 2263–2274. [Google Scholar] [CrossRef] [PubMed]
  75. Prowle, J.R.; Kirwan, C.J.; Bellomo, R. Fluid management for the prevention and attenuation of acute kidney injury. Nat. Rev. Nephrol. 2014, 10, 37–47. [Google Scholar] [CrossRef]
Figure 1. Study identification and selection procedure.
Figure 1. Study identification and selection procedure.
Jcm 12 00037 g001
Figure 2. Forest plots of postoperative mortality in patients with/without postoperative AKI. Blue square represents RR of each study; green square represents the pooled RR of all studies. AKI, acute kidney injury; AKIN, acute kidney injury network; CI, confidence interval; RR, relative risks.
Figure 2. Forest plots of postoperative mortality in patients with/without postoperative AKI. Blue square represents RR of each study; green square represents the pooled RR of all studies. AKI, acute kidney injury; AKIN, acute kidney injury network; CI, confidence interval; RR, relative risks.
Jcm 12 00037 g002
Table 1. Main characteristics of the studies included in the analysis.
Table 1. Main characteristics of the studies included in the analysis.
Study (Year)CountrySettingPatients Type
(Non-AKI vs. AKI)
Number of PatientsNumber with AKIAKI
Incidence
RRT
Incidence
AKI
Definition
Licker et al. (2011) [27]SwitzerlandLungExcluding hemodialysis
Age: 63 (11) vs. 66 (9)
Preoperative eGFR: 83 (23) vs. 75 (21)
DM: 9.3% vs. 23.3%
CAD: 10.5% vs. 12.5%
1345910.068--RIFLE
Ishikawa et al. (2012) [9]CanadaLungExcluding hemodialysis
Age: 61 (15) vs. 67 (10)
Preoperative eGFR: 74 (22) vs. 62 (23)
Preoperative SCr: 79.56 (17.68) vs. 97.24 (35.36)
DM: 9% vs. 19%
CAD: 11% vs. 19%
1129670.0591/1129 (0.09%)AKIN
Lee et al.
(2014) [6]
KoreaEsophagealExcluding hemodialysis
Age: 61.7 (8.2) vs. 62.6 (8.2)
Preoperative eGFR < 60 mL/min/1.73 m2: 3.1% vs. 4.8%
Preoperative SCr: 70.72 (61.88–79.56) vs. 70.72 (61.88–79.56)
DM: 15.1% vs. 21.4%
CAD: 1.3% vs. 0.5%
5952100.35311/595 (1.85%)AKIN
Ren et al.
(2015) [28]
ChinaEsophagealNormal
Age: 63 (15) vs. 74 (12)
Preoperative SCr: 78 (11) vs. 75 (13)
DM: 18% vs. 39.1%
CAD: 23% vs. 26.1%
362230.0642/362 (0.55%)KDIGO
Assaad et al. (2015) [12]USALungExcluding SCr > 2 mg/dL
Mean age of all: 67 (from 54 to 83)
4030.0750AKIN
Grams et al. (2016) [19] USAThoracicExcluding hemodialysis
Mean age of all: 64 (10)
Preoperative eGFR < 60 mL/min/1.73 m2: 1.2%
DM: 27%
CAD: 27%
11,77914130.12023/11779 (0.2%)KDIGO
Ahn et al.
(2016) [29]
KoreaThoracicExcluding hemodialysis
Age: 59.4 (12.5) vs. 64.5 (10.3)
Preoperative eGFR: 92 (21) vs. 93 (41)
DM: 13% vs. 39%
1442740.0512/1142 (0.18%)AKIN
Moon et al. (2016) [30]USALungUnselected
Mean age of all: 66 (from 59 to 73)
1207980.0810AKIN
Konda et al. (2017) [31]USAEsophagealExcluding hemodialysis
Age: 60 (10) vs. 63 (9)
Preoperative SCr: 79.6 (17.7) vs. 91.1 (26.5)
DM: 13.3% vs. 26.2%
CAD: 15.4% vs. 23.4%
8971070.1190AKIN
Wang et al. (2017) [10]ChinaEsophagealExcluding hemodialysis
Age: 63 (8) vs. 63 (9)
Preoperative SCr: 76 (13) vs. 85 (23)
DM: 8.3% vs. 11.8%
CAD: 4.9% vs. 7.8%
2094510.024--KDIGO
Cardinale et al. (2018) [11]ItalyLungExcluding hemodialysis
Age: 62 (10) vs. 68 (9)
Preoperative eGFR: 102 (84–117) vs. 83 (67–103)
Preoperative SCr: 67.18 (56.58–78.67) vs. 81.33 (68.07–98.12)
DM: 8% vs. 8%
CAD: 4% vs. 20%
21792220.1025/2179 (0.23%)AKIN
Naruka et al. (2019) [5]UKLungExcluding hemodialysis
Old (>60 years):58.7% vs. 75.6
568860.151--KDIGO
Matesanz et al. (2019) [32]SpainLungUnselected
Age: 65 (56–70) vs. 73 (64–77)
174120.0692/174 (1.15%)AKIN
Oh et al.
(2019) [33]
KoreaLungExcluding hemodialysis
Aged 19 yr or older
28721400.049--KDIGO
Garutti et al. (2019) [37]SpainLungUnselected
Aged 19 yr or older
174120.069--AKIN
Murphy et al. (2020) [8]UKEsophagealUnselected
Mean age of all: 64.2 ± 9.2
11352080.18310/1135 (0.88%)AKIN
Meng et al. (2020) [35]ChinaLungExcluding hemodialysis
Age: 59.8 (10.6) vs. 58.8 (10.7)
Preoperative eGFR < 30 mL/min/1.73 m2: 0.3% vs. 9.7%
DM: 17.4% vs. 32.3%
CAD: 11.4% vs. 12.9%
1393310.0221/1393 (0.07%)KDIGO
Kim et al.
(2020) [34]
KoreaLungUnselected1031630.061--AKIN
Zhao et al.
(2021) [36]
ChinaLungExcluding hemodialysis
Age: 58 (51–65) vs. 63 (56–69)
Preoperative SCr: 70 (60–82) vs. 75 (62–90)
DM: 11% vs. 23%
CAD: 5% vs. 13%
38622050.0530KDIGO
Wu et al.
(2021) [7]
ChinaLungNormal548120.022--AKIN
Abbreviations: AKI, Acute kidney injury; AKIN, acute kidney injury network; CAD, coronary artery disease; DM, Diabetes mellitus; eGFR, estimated glomerular filtration rate; KDIGO, kidney disease improving global outcomes; RIFLE, risk, injury, failure, loss of kidney function, and end-stage kidney disease; RRT, renal replacement therapy; SCr, serum creatinine.
Table 2. Subgroup analysis of the proportion of patients who developed postoperative AKI.
Table 2. Subgroup analysis of the proportion of patients who developed postoperative AKI.
Number of StudiesNumber of PatientsAKI Incidence95% CII2p
All patients2034,8260.0880.067–0.10898.3%
AKI definition 0.136
RIFLE113450.0680.054–0.081--
AKIN1210,5510.1030.071–0.13597.4%
KDIGO722,9300.0680.035–0.10199.1%
Surgical type 0.203
Lung1316,5220.0660.050–0.08194.2%
Esophageal550830.1480.055–0.24099.2%
Thoracic213,2210.0860.019–0.15399.1%
Preoperative renal function 0.092
Unselected537210.0930.048–0.13895.3%
Excluding hemodialysis1230,1550.0940.068–0.12098.8%
Normal39500.0460.009–0.08279.3%
Abbreviations: AKI, Acute kidney injury; AKIN, acute kidney injury network; KDIGO, kidney disease improving global outcomes; RIFLE, risk, injury, failure, loss of kidney function, and end-stage kidney disease; CI, confidence intervals.
Table 3. Reported risk factors for AKI in patients undergoing thoracic surgery.
Table 3. Reported risk factors for AKI in patients undergoing thoracic surgery.
Study (Year)SettingPatients TypeRisk Factors for AKI
Licker et al. (2011) [27]LungExcluding
hemodialysis
ASA 3 or 4, low FEV1, use of vasopressors, prolonged anesthesia time
Ishikawa et al. (2012) [9]LungExcluding
hemodialysis
hypertension, peripheral vascular disease, low eGFR, use of ARB, intraoperative hydroxyethyl starch administration, thoracotomy procedure
Lee et al.
(2014) [6]
EsophagealExcluding
hemodialysis
BMI, low serum albumin level, use of ACEI or ARB, intraoperative hydroxyethyl starch administration, postoperative 2-day CRP
Ren et al.
(2015) [28]
EsophagealNormalelderly, DM, intraoperative hypotension
Assaad et al. (2015) [12]LungNormalelderly, ASA 3 or 4, prolonged surgery time
Grams et al. (2016) [19]ThoracicExcluding
hemodialysis
elderly, male, African American, higher BMI, hypertension, DM, lung disease, malignancy, low eGFR, use of ACEI/ARB, diuretic use, later timing of surgery during the hospital stay
Ahn et al.
(2016) [29]
ThoracicExcluding
hemodialysis
use of ACRI/ARB, open thoracotomy, pneumonectomy/esophagectomy, DM, cerebrovascular disease, low serum albumin level, decreased renal function(eGFR < 60 mL/min/1.73 m2)
Moon et al. (2016) [30]LungUnselectedBMI, male, ASA 3 or 4, hypertension, smoking status, thoracotomy procedure
Konda et al. (2017) [31]EsophagealExcluding
hemodialysis
higher BMI, a number of comorbidities, high preoperative creatinine level
Wang et al. (2017) [10]EsophagealExcluding
hemodialysis
preoperative serum creatinine level, duration of surgery, smoking status, hypertension
Cardinale et al. (2018) [11]LungExcluding
hemodialysis
hypertension, preoperative serum creatinine level, forced vital capacity, preoperative NT-proBNP, pneumonectomy, intraoperative blood loss
Naruka et al. (2019) [5]LungExcluding
hemodialysis
60 years or older
Matesanz et al. (2019) [32]LungUnselectedhypertension, ASA 3 or 4, prolonged surgery time, plasma IL-6 level at 6 h after surgery
Murphy et al. (2020) [8]EsophagealUnselectedelderly, male, increased BMI, dyslipidemia
Meng et al. (2020) [35]LungExcluding
hemodialysis
intraoperative urine output < 0.8 mL/(kg·h), preoperative Hb ≤ 120.0 g/L, preoperative eGFR < 30 mL/min/1.73 m2)
Zhao et al.
(2021) [36]
LungExcluding
hemodialysis
elderly, hypertension, DM, use of ACEI/ARB, preoperative serum albumin and creatinine level, blood loss, intraoperative lowest MAP
Abbreviations: ACEI/ARB, angiotensin-converting enzyme inhibitor/angiotensin II receptor blockers; AKI, acute kidney injury; ASA, American Society of Anesthesiologists; BMI, body mass index; CRP, C-reactive protein; DM, diabetes mellitus; FEV1, forced expiratory volume in 1 s; eGFR, estimated glomerular filtration rate; MAP, mean arterial pressure; NT-proBNP, N-terminal pro brain natriuretic peptide.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yu, Y.; Xu, S.; Yan, B.; Tang, X.; Zhang, H.; Pan, C.; Zhu, S. Incidence and Associations of Acute Kidney Injury after General Thoracic Surgery: A System Review and Meta-Analysis. J. Clin. Med. 2023, 12, 37. https://doi.org/10.3390/jcm12010037

AMA Style

Yu Y, Xu S, Yan B, Tang X, Zhang H, Pan C, Zhu S. Incidence and Associations of Acute Kidney Injury after General Thoracic Surgery: A System Review and Meta-Analysis. Journal of Clinical Medicine. 2023; 12(1):37. https://doi.org/10.3390/jcm12010037

Chicago/Turabian Style

Yu, Yang, Shanshan Xu, Bing Yan, Xiaodong Tang, Honggang Zhang, Caifei Pan, and Shengmei Zhu. 2023. "Incidence and Associations of Acute Kidney Injury after General Thoracic Surgery: A System Review and Meta-Analysis" Journal of Clinical Medicine 12, no. 1: 37. https://doi.org/10.3390/jcm12010037

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop