Literature DB >> 33173279

Impact of Dexmedetomidine Infusion on Postoperative Acute Kidney Injury in Elderly Patients Undergoing Major Joint Replacement: A Retrospective Cohort Study.

He Zhu1, Aolin Ren1, Kang Zhou1, Qiuchong Chen1, Mengjun Zhang1, Jindong Liu2.   

Abstract

PURPOSE: Postoperative acute kidney injury (AKI) is a frequent complication in elderly patients that increases morbidity and mortality. Approximately 1.7 million people die from AKI worldwide every year. Dexmedetomidine (Dex) is often used as an adjunct to multimodal analgesia. Our study investigated whether Dex could safely decrease the incidence of AKI in elderly patients undergoing major joint replacement.
METHODS: A single-center retrospective study was conducted in patients aged >65 years undergoing major joint replacement. Propensity score-matching analysis was used, and a total of 1,006 patients were matched successfully. The primary outcome was the incidence of postoperative AKI. Secondary outcomes included perioperative adverse complications, opioid consumption, time to extubation, and length of hospital stay.
RESULTS: Among the 1,006 patients included, postoperative AKI occurred in 9.3% (n=94). The Dex group (perioperative Dex infusion) had lower incidence of postoperative AKI than the control group (7.2% vs 11.5%, P=0.017). Compared with the control group, the Dex group had less opioid consumption (P<0.05), reduced time to extubation (P=0.004), and shorter length of hospital stay (P=0.001). The Dex group also showed higher incidence of bradycardia (20.1% vs 15.1%, P=0.038). There were no differences in intraoperative hypotension (19.5% vs 17.5%), postoperative nausea and vomiting (4.2% vs 5.4%), time in PACU (45.0±6.4 vs 45.5±6.2 minutes), or rate of ICU admission (9.7% vs 11.1%) between the Dex group and control group (All P>0.05).
CONCLUSION: This retrospective study showed Dex infusion in elderly patients undergoing major joint replacement was associated with lower incidence of postoperative AKI, less opioid consumption, and shorter extubation time and hospital stay. However, the Dex group had higher incidence of bradycardia. We found no statistical differences in other perioperative adverse complications between the groups.
© 2020 Zhu et al.

Entities:  

Keywords:  acute kidney injury; dexmedetomidine; elderly patients; joint replacement

Mesh:

Substances:

Year:  2020        PMID: 33173279      PMCID: PMC7646437          DOI: 10.2147/DDDT.S278342

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Postoperative acute kidney injury (AKI) is a complex group of clinical syndromes. Elderly patients are especially in danger of developing AKI, given the presence of several comorbidities, including hypertension, diabetes, and chronic kidney disease.1,2 AKI has become a globalissue, but has not attracted widespread attention. The occurrence of AKI after surgery leads to an increase in postoperative complications, which brings a heavy financial burden to families.3 A meta-analysis showed that the incidence of AKI and severe AKI requiring dialysis after total hip arthroplasty was 6.3% and 0.5%, respectively.4 Due to the different locations of joint replacement, the incidence of postoperative AKI is 0.5%–21.9%, and the incidence of renal failure caused by hip and knee replacement is 0.8%.5 At present, clinical research on AKI is mostly limited to cardiovascular surgery. There has been little research on AKI after joint replacement. Dexmedetomidine (Dex) is a highly selective α2-adrenoceptor agonist with sympatholytic, analgesic, dose-dependent, sedative, and anxiolytic properties with minimal respiratory depression.6 Studies have shown that Dex provides neuroprotection and renoprotection in a dose-dependent manner.7,8 Perioperative Dex infusion can provide smooth and hemodynamically stable emergence.9 There has been no study to investigate the effects of Dex in preventing AKI in elderly patients undergoing major joint replacement due to its renal protection.Early identification and intervention of postoperative AKI is important, because there is no good therapy other than renal replacement when the disease becomes severe. We hypothesized that Dex infusion would lead to a reduced incidence of postoperative AKI safely.

Methods

Study Design and Participants

This retrospective study (Jiangsu, China; XYFY2020-KL050-01) was approved by the Ethics Committee of the Affiliated Hospital of Xuzhou Medical University. We used propensity score–matching analysis, and 1,006 elderly patients who had undergone major joint replacement at the Affiliated Hospital of Xuzhou Medical University from October 2013 to October 2019 were included finally. The study was registered in the American Clinical Trial Registry (NCT04132921) and the requirement for informed consent waived, because this retrospective trial was limited to preexisting data without intervention.Inclusion criteria were age ≥65 years and unilateral joint replacement. Exclusion criteria were lack of clinically relevant data, patients who had undergone emergency surgery, patients with severe liver/kidney dysfunction, heart failure, or severe arrhythmia.

Data Collection

All information was obtained from the electronic medical record and anesthesia systems. Researchers were trained before data collection, and two independent investigators verified all data. We mainly collected demographic data (sex, age, BMI, American Society of Anesthesiologists [ASA] classification, and preoperative comorbidities), general conditions during the operation, laboratory-examination results, incidence of AKI, postoperative outcomes, including nausea and vomiting, length of hospitalization, time to extubation (time from end of operation to removal of tracheal tube), time in the postanesthesia care unit (PACU), and whether the patient had been admitted to the ICU after surgery. Dex administration was defined as a loading dose of 0.5–1.0μg/kg within 10–15 minutes or intraoperative continuous infusion at a rate of 0.2–0.7μg/kg/h. The primary outcome variable was prevalence of postoperative AKI defined according to the criteria from Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. AKI can be diagnosed if one of the following conditions is met: increase in serum creatinine ≥0.3 mg/dL within 48 hours or increase in serum creatinine to ≥1.5 times baseline, which is known or presumed to have occurred within the prior 7 days. Baseline serum creatinine was defined as the most recent value prior to surgery, and the peak value was defined as the highest serum creatinine within 7 days following surgery. A simplified MDRD formula was used to calculate the estimated glomerular filtration rate (eGFR): 186 × serum creatinine value−1.154 × age−0.203 × 0.742 (female). Low eGFR was defined as eGFR <60mL/min/1.73m2, hypotension as mean arterial pressure <65mmHg for >5 minutes, bradycardia as heart rate <50 beats per minute, hypoproteinemia as albumin <35g/L and thrombocytopenia as platelet count <100×109 L. Elderly patients >65 years old often have accompanying basic diseases, and the impact of comorbidities on disease outcomes can be measured by a well-established and validated 20-item risk-scoring tool: the Charlson Comorbidity Index (CCI). The second edition of the CCI is a combined age–comorbidity score that adds the factor of age (Table 1). Based on their scores, patients were divided into two groups in our study: those with scores ≤3 and those with scores of >3. This work was completed by two members of the team reviewing the surgical medical record system. All enrolled patients were anesthetized by general anesthesia at the discretion of the attending anesthesiologist, and intraoperative monitoring was performed with electrocardiography, pulse oximetry, invasive surveillance of arterial blood pressure, and bispectral index. In order to reduce the use of anesthetic drugs and postoperative complications, most patients underwent general anesthesia combined with femoral nerve block, sciatic nerve block, or lumbar plexus block. All invasive operations were performed by senior anesthesiologists.
Table 1

Weighted scores for each item of the 20-item Charlson Comorbidity Index

ComorbidityScore
AgeScore of 1 for every decade >40 years of age
Myocardial infarction1
Congestive heart failure1
Peripheral vascular disease1
Cerebrovascular disease1
Dementia1
Chronic pulmonary disease1
Connective-tissue disease1
Peptic ulcer disease1
Mild liver disease1
Diabetes mellitus without end-organ damage1
Moderate–severe chronic kidney disease2
Hemiplegia2
Diabetes with end-organ damage2
Tumour without metastasis2
Leukemia (acute or chronic)2
Lymphoma2
Moderate or severe liver disease3
Metastatic solid tumor6
AIDS6
Weighted scores for each item of the 20-item Charlson Comorbidity Index

Statistical Analyses

For continuous variables, the Kolmogorov–Smirnov test was used to assess normality, normally distributed continuous variables as means ± SD, and abnormally distributed continuous variables as medians (IQR). Categorical variables are summarized as frequencies and proportions. Unpaired t-tests were used normally distributed continuous variables, Mann–Whitney U-test for variables without normal distribution, and x2 or Fisher’s exact tests for categorical data as appropriate. Propensity-score methods can effectively control for baseline confounding by balancing measured baseline confounders and risk factors. We identified 900 patients who had been treated with Dex and 576 who had not. Finally, we successfully matched 503 pairs who had propensity score within 0.02, based on age, sex, BMI, ASA classification, and CCI score. Propensity-score matching was successful in achieving balance across all measured covariates. Sample size was based on a 23.2% incidence of AKI in hospitalized patients according to KDIGO criteria.10 We assumed a 35% reduction in postoperative AKI incidence in the Dex group. Sample size was calculated using PASS11 software, and 736 patients were required to provide 80% power to detect a two-sided difference, with a type I error probability of 0.05. Ultimately, we included 1,006 patients for analysis. Statistical analysis was performed using SPSS version 23.0 (IBM, Armonk, NY, USA). All statistical tests were two-tailed, and P<0.05 was considered to indicate statistical significance.

Results

A total of 1,640 elderly patients who had been scheduled to undertake elective major joint replacement surgery were screened from October 2013 to October 2019 at the Affiliated Hospital of Xuzhou Medical University. There were 164 patients excluded according to our exclusion criteria and 1,476 eligible patients included. In order to balance measured baseline confounders and risk factors, propensity score–matching analysis was used and 1,006 matched successfully. The specific flow diagram for patient selection is presented in Figure 1.
Figure 1

Study flowchart.

Study flowchart.

Baseline Characteristics

There were no significant differences in sex, age, BMI, ASA classification, CCI scores, comorbidities (hypertension, diabetes, low eGFR, anemia, cardiac disease), chronic smoking, or alcoholism between the two groups (All P>0.05). We analyzed preoperative laboratory information and found significant differences in albumin and platelet counts. For ease of analysis and interpretation, we represented these related risk factors as binary predictor variable. There was no difference for hypoproteinemia or thrombocytopenia (Tables 2 and 3).
Table 2

Baseline variables of patients with or without dexmedetomidine infusion

Dex group (n=503)Control group (n=503)P-value
Sex, n (%)
Male206 (41.0)200 (39.8)0.700
Female297 (59.0)303 (60.2)
Age (years), mean (SD)73 (7)74 (7)0.787
BMI, mean (SD)21.4 (3.0)21.7 (3.1)0.132
ASA classification, n (%)
Class I–IIClass III–IV357 (71.0)146 (29.0)368 (73.2)135 (26.8)0.440
CCI score ≥4, n (%)64 (12.7)60 (11.9)0.701
Comorbidities, n (%)
Hypertension78 (15.5)74 (14.7)0.725
Diabetes28 (5.6)23 (4.6)0.472
Low eGFR27 (5.4)30 (6.0)0.682
Anemia234 (46.5)222 (44.1)0.447
Cardiac disease46 (9.1)60 (11.9)0.151
Thrombocytopenia10 (2.0)17 (3.4)0.172
Hypoproteinemia87 (17.3)79 (15.7)0.497
Chronic smoking94 (18.7)89 (17.7)0.683
Alcoholism29 (5.8)19 (3.8)0.139

Abbreviations: BMI, body-mass index; CCI, Charlson Comorbidity Index; eGFR, estimated glomerular filtration rate.

Table 3

Preoperative laboratory information

Dex group (n=503)Control group (n=503)P-value
Cystatin C (mg/L), median (IQR)1.5 (1.2–1.5)0.7 (0.6–1.8)0.144
Lactic acid (mmol/L), median (IQR)2.1 (1.8–2.1)2.0 (1.4–2.1)0.100
Albumin (g/L), mean (SD)39.3 (5.9)38.5 (5.6)0.026
Creatinine (µmol/L), median (IQR)89.0 (41.0–89.0)48.0 (36.0–48.0)0.638
BUN (mmol/L), median (IQR)6.3 (5.9–6.7)4.8 (3.8–4.8)0.162
Glu (mmol/L), median (IQR)7.1 (7.0–8.2)8.4 (8.3–9.4)0.993
Platelet (109/L), median (IQR)240 (122–255)298 (298–324)0.025
CRP (mg/L), median (IQR)16.0 (16.0–116.0)35.5 (15.0–76.4)0.733
Baseline variables of patients with or without dexmedetomidine infusion Abbreviations: BMI, body-mass index; CCI, Charlson Comorbidity Index; eGFR, estimated glomerular filtration rate. Preoperative laboratory information

Outcomes

Our study showed no differences in surgery or anesthesia procedure (Table 4). However, there were significant significant differences in sufentanil and remifentanil consumption between the groups (P<0.05). No differences were seen in propofol, rocuronium, cisatracurium, sevoflurane, or NSAID use. We compared the choice of nerve block, and no differences were found for femoral nerve block (37.0% vs 40.0%, P=0.331), sciatic nerve block (20.1% vs 22.9%, P=0.282), or lumbar plexus block (11.7% vs 9.3%, P=0.218) (Table 4).Postoperative AKI occurred in 9.3% (n=94) of all patients, and the Dex group was associated with lower incidence of postoperative AKI than the control group (7.2% vs 11.5%, P=0.017; Table 5).
Table 4

Surgery- and anesthesia-related information

Dex group (n=503)Control group (n=503)P-value
Type of surgery
Knee replacement, n (%)165 (32.8)174 (34.6)0.548
Hip replacement, n (%)338 (67.2)329 (65.4)
Surgery and anesthesia
Surgery time (minutes), mean (SD)113.3 (43.2)114.5 (41.8)0.638
Anesthesia time (minutes), mean (SD)150.6 (51.3)150.2 (46.6)0.897
Duration of hypotension (minutes), median (IQR)9 (6–14)10 (7–13)0.249
Times of hypotension, median (IQR)2 (1–3)3 (1–3)0.261
Phenylephrine, n (%)53 (10.5)46 (9.1)0.459
Ephedrine, n (%)21 (4.2)17 (3.4)0.508
Bleeding (mL), median (IQR)300 (200–600)300 (250–500)0.814
Colloid (mL), median (IQR)500 (500–1,000)500 (500–1,000)0.807
Crystal (mL), median (IQR)1250 (1,000–1,500)1,250 (1,000–1,500)0.687
Urine (mL), median (IQR)400 (300–400)350 (300–400)0.158
Blood transfusion, n (%)47 (9.3)62 (12.3)0.128
Choice of anesthetic
Sufentanil (µg), mean (SD)51.7 (6.1)52.8 (6.6)0.007
Propofol (mg), mean (SD)364.1 (46.0)366.8 (44.2)0.346
Rocuronium (mg), mean (SD)51.7 (9.4)50.8 (9.9)0.141
Cisatracurium (mg), mean (SD)14.9 (2.2)15.0 (2.2)0.425
Remifentanil (mg), mean (SD)2.0 (0.3)2.1 (0.9)0.012
Sevoflurane358 (71.2)370 (73.6)0.398
NSAIDs251 (50.0)271 (53.9)0.207
Nerve block
Femoral, n (%)186 (37.0)201 (40.0)0.331
Sciatic, n (%)101 (20.1)115 (22.9)0.282
Lumbar, n (%)59 (11.7)47 (9.3)0.218

Abbreviation: NSAIDs, nonsteroidal antiinflammatory drugs.

Table 5

Perioperative outcomes

Dex group (n=503)Control group (n=503)P-value
AKI, n (%)36 (7.2)58 (11.5)0.017
Intraoperative hypotension, n (%)98 (19.5)88 (17.5)0.417
Bradycardia, n (%)101 (20.1)76 (15.1)0.038
Nausea and vomiting, n (%)21 (4.2)27 (5.4)0.375
Time in PACU (minutes), mean (SD)45.0 (6.4)45.5 (6.2)0.189
Time to extubation (minutes), mean (SD)18.6 (2.2)19.0 (2.3)0.004
ICU admission, n (%)49 (9.7)56 (11.1)0.470
Hospital stay (days), mean (SD)19.5 (2.0)19.9 (1.9)0.001

Abbreviations: PACU, postanesthesia care unit; ICU, intensive care unit.

Surgery- and anesthesia-related information Abbreviation: NSAIDs, nonsteroidal antiinflammatory drugs. Perioperative outcomes Abbreviations: PACU, postanesthesia care unit; ICU, intensive care unit. Compared with the control group, the Dex group had higher incidence of bradycardia (20.1% vs 15.1%, P=0.038). We found that the Dex group had shorter time (minutes) to extubation (18.6±2.2 vs 19.0±2.3, P=0.004) and shorter length (days) of hospital stay (19.5±2.0 vs 19.9±1.9, P=0.001). Nausea and vomiting are the most common complications after general anesthesia, and 21 patients inthe Dex group and 27in the control group experienced mild nausea and vomiting upon checking the anesthesia record. No significant difference was observed between the two groups (4.2% vs 5.4%, P=0.375). There were no differences in intraoperative hypotension (19.5% vs 17.5%), time (minutes) in PACU (45.0±6.4 vs 45.5±6.2), or rate of ICU admission (9.7% vs 11.1%) between the Dex group and control group (all P>0.05, Table 5).

Discussion

AKI has become a global issue, however, attention paid to it is still not enough. Elderly patients are growing in numbers and often have such diseases as hypertension and diabetes, which increase the burden on the kidneys.11,12 Therefore, for elderly patients, a comprehensive anesthesia and surgical evaluation should be performed before surgery. A study has shown that Dex infusion in pediatric patients after congenital heart surgery is associated with decreased incidence of AKI.13 However, the impact of Dex on AKI after major joint replacement is still unknown, and our study showed that Dex infusion decreased the incidence of postoperative AKI safely in elderly patients after total knee or hip arthroplasty. AKI is a common complication caused by multiple factors, and its risk factors include older age, high BMI, hypoproteinemia, anemia, decrease in GFR, use of colloids, and decreased mean arterial pressure.14–17 Many factors are still controversial, and one possible mechanism is hemodynamic changes leading to an imbalance of oxygen supply and demand in organs, with ischemia–reperfusion injury eventually leading to AKI.18,19 Si et al20 recently demonstrated that Dex appears to act, at least in part, by upregulating SIRT3 to inhibit mitochondrial damage and cell apoptosis and thereby protect against renal ischemia–reperfusion injury, which is consistent with our study. However, Oh et al found no significant association between Dex use and AKI after joint replacement, and a possible explanation that should be considered is this retrospective observational study included only patients who received spinal anesthesia. Analysis of perioperative adverse outcomes showed no significant differences in intraoperative hypotension, nausea and vomiting, time in PACU, or rate of ICU admission. The Dex group had higher incidence of bradycardia than the control group, but the occurrence of bradycardia was transient and the percentage of patients requiring intervention very low. Compared with the control group, the Dex group had shorter time to extubation and shorter length of hospital stay, meaning an optimal dose of Dex infusion was not associated with obvious residual sedation, which is similar to a recent study.21 Total hip or knee arthroscopy is a common orthopedic procedure, and postoperative pain delays discharge and increases medical cost.22,23 From the perspective of enhanced recovery after surgery, we have to achieve significant clinical and economic benefits after surgery.24 According to Sun et al,25 elderly patients in a Dex group reported significantly lower numeric rating–scale pain scores at 3, 12, 24, and 48 hours after surgery and significantly improved Richards–Campbell Sleep Questionnaire results during the first 3 days after major elective noncardiac surgery. Studies have shown satisfactory analgesic effects of Dex in total hip or knee arthroscopy, but some experimental conclusions are controversial.26–28 The dose of Dex we chose was similar to previous research: the Dex administration was a loading dose of 0.5–1.0μg/kg within 10–15 minutes or intraoperative continuous infusion at 0.2–0.7μg/kg/h according to anesthesia system records. Consistently with previous research results,29 intraoperative Dex was associated with a small but clinically important reduction in opioid consumption. Due to the limitations of retrospective studies, we could not collect additional postoperative opioid-use data, which may limit the accuracy of our conclusions. Additionally, this was a single-center retrospective study, which has some limitations. Demographic, anesthesia-, and surgery-related data were collected from electronic medical records and doses and infusion rate of Dex cannot be accurately assessed; therefore, large-sample randomized controlled trials are still needed. We also noticed the impact of tourniquets on postoperative AKI, but as this was a retrospective experiment, we could not accurately assess the use of tourniquets in knee arthroplasty.

Conclusion

Our study showed that Dex infusion was associated with lower incidence of postoperative AKI, less opioid consumption, and shorter extubation time and length of hospital stay. Except for transient bradycardia during the operation, Dex infusion did not produce any severe adverse complications.
  29 in total

Review 1.  Can Dexmedetomidine Influence Recovery Profiles from General Anesthesia in Nasal Surgery?

Authors:  Ho Seok Lee; Ho Young Yoon; Ho Jun Jin; Se Hwan Hwang
Journal:  Otolaryngol Head Neck Surg       Date:  2017-09-26       Impact factor: 3.497

2.  Comparison of Intraoperative Sedation With Dexmedetomidine Versus Propofol on Acute Postoperative Pain in Total Knee Arthroplasty Under Spinal Anesthesia: A Randomized Trial.

Authors:  Hyun-Jung Shin; Sang-Hwan Do; Jae-Sung Lee; Tae-Kyun Kim; Hyo-Seok Na
Journal:  Anesth Analg       Date:  2019-12       Impact factor: 5.108

3.  Postoperative Anemia Is Associated with Acute Kidney Injury in Patients Undergoing Total Hip Replacement Arthroplasty: A Retrospective Study.

Authors:  Yoon Ji Choi; Seon-Ok Kim; Ji Hoon Sim; Kyung-Don Hahm
Journal:  Anesth Analg       Date:  2016-06       Impact factor: 5.108

4.  Perioperative sedative use is not associated with acute kidney injury after total hip or knee arthroplasty.

Authors:  Tak Kyu Oh; Jin-Woo Park; Hyun-Jung Shin; Hyo-Seok Na; Ah-Young Oh; Jung-Won Hwang
Journal:  Ann Transl Med       Date:  2019-06

5.  Safety and analgesic efficacy of intravenous dexmedetomidine in arthroscopic knee surgery.

Authors:  Riddhi Kundu; Maya Dehran; Anjan Trikha; H L Nag
Journal:  Anesth Essays Res       Date:  2015 Sep-Dec

6.  Acute Kidney Injury in Patients Undergoing Total Hip Arthroplasty: A Systematic Review and Meta-Analysis.

Authors:  Charat Thongprayoon; Wisit Kaewput; Natanong Thamcharoen; Tarun Bathini; Kanramon Watthanasuntorn; Sohail Abdul Salim; Patompong Ungprasert; Ploypin Lertjitbanjong; Narothama Reddy Aeddula; Aldo Torres-Ortiz; Michael A Mao; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2019-01-09       Impact factor: 4.241

7.  Efficacy of Adding Dexmedetomidine to Intra-articular Levobupivacaine on Postoperative Pain after Knee Arthroscopy.

Authors:  Mohamed Maher El Baz; Tamer El Metwally Farahat
Journal:  Anesth Essays Res       Date:  2019 Apr-Jun

8.  Acute Kidney Injury-Associated Systemic Inflammation Is Aggravated in Insulin-Dependent Diabetes Mellitus.

Authors:  Daniel Patschan; Katrin Schwarze; Elvira Henze; Johanna Charlotte Hoffmann; Susann Patschan; Oliver Ritter; Gerhard Anton Muller
Journal:  J Clin Med Res       Date:  2019-10-04

9.  Is Hypoalbuminemia a Predictor for Acute Kidney Injury after Coronary Bypass Grafting in Diabetes Mellitus Patients?

Authors:  Rezan Aksoy; Taylan Adademir; Ekrem Yilmaz; Deniz Cevirme; Mehmet Sengor; Cengiz Koksal; Murat Bulent Rabus
Journal:  Braz J Cardiovasc Surg       Date:  2019-12-01

10.  Effect of addition of dexmedetomidine to ropivacaine 0.2% for femoral nerve block in patients undergoing unilateral total knee replacement: A randomised double-blind study.

Authors:  Bhawana Sharma; Sunny Rupal; Adarsh Chandra Swami; Sneh Lata
Journal:  Indian J Anaesth       Date:  2016-06
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1.  A Stepwise Targeting Curcumin Derivative, Ser@TPP@CUR, for Acute Kidney Injury.

Authors:  Xia Yan; Xue-Ying Tan; Yi-Xuan Li; Hong-Bo Wang; Jian-Bo Jin; Ying-Rui Mao; Jing-Bo Hu; Ling-Hui Wu
Journal:  ACS Med Chem Lett       Date:  2022-03-08       Impact factor: 4.632

Review 2.  The Intersection of Acute Kidney Injury and Non-Coding RNAs: Inflammation.

Authors:  Bojun Li; Fangyou Lin; Yuqi Xia; Zehua Ye; Xinzhou Yan; Baofeng Song; Tianhui Yuan; Lei Li; Xiangjun Zhou; Weimin Yu; Fan Cheng
Journal:  Front Physiol       Date:  2022-06-09       Impact factor: 4.755

Review 3.  Perioperative Pain Management and Opioid Stewardship: A Practical Guide.

Authors:  Sara J Hyland; Kara K Brockhaus; William R Vincent; Nicole Z Spence; Michelle M Lucki; Michael J Howkins; Robert K Cleary
Journal:  Healthcare (Basel)       Date:  2021-03-16

4.  Identification of inflammatory response and alternative splicing in acute kidney injury and experimental verification of the involvement of RNA‑binding protein RBFOX1 in this disease.

Authors:  Fangyou Lin; Lei Xu; Run Yuan; Shangting Han; Jinna Xie; Kun Jiang; Bojun Li; Weimin Yu; Ting Rao; Xiangjun Zhou; Fan Cheng
Journal:  Int J Mol Med       Date:  2022-01-21       Impact factor: 4.101

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