Abstract
Background
Acute kidney injury (AKI) is a common complication following non-cardiac surgery with adverse short- and long- term morbidity and mortality. Evidence shows that hypoalbuminemia is associated with increased AKI risk in patients with infectious diseases and cancer and following cardiac surgery and transplant surgery. However, little evidence is available on non-cardiac surgery population. Thus, we investigated the association between preoperative hypoalbuminemia and AKI following non-cardiac surgery.
Methods
We retrospectively assessed perioperative risk factors and preoperative serum albumin concentration in 729 consecutive adult patients who underwent non-cardiac surgery from July 1, 2017, to June 30, 2018. Each patient was categorized according to maximal Kidney Disease Improving Global Outcomes criteria based on creatinine changes and urine output within the first week after surgery. Multivariate Logistic regression models were used to analyze the association between preoperative hypoalbuminemia and postoperative AKI.
Results
Of 729 patients, 188 (25.8%) developed AKI. AKI incidence was higher in patients with preoperative serum albumin < 37.5 g/L than in those with preoperative serum albumin ≥37.5 g/L [35.9% (98/273) vs. 19.7% (90/456), P < 0.001]. Multivariate logistic regression analysis showed that preoperative serum albumin < 37.5 g/L (odds ratio 1.892; 95% confidence interval 1.238–2.891; P = 0.003) was independently associated with postoperative AKI. Patients with preoperative serum albumin < 37.5 g/L tended to have a higher but not significant ratio in AKI stage 2 (2.6% vs 1.1%, P = 0.144) and much higher ratio in AKI stage 3 (4.8% vs 0.7%, P < 0.001) than those with preoperative serum albumin ≥37.5 g/L. AKI patients had a higher in-hospital mortality rate [6.9% (13/188) vs. 0.2% (1/541), P < 0.001]. Kaplan-Meier analysis revealed that the cumulative survival rate decreased with increasing AKI severity (P < 0.001). Postoperative AKI was also associated with other worse outcomes, such as prolonged mechanical ventilation [53.4 (33.0, 73.8) vs 14.7 (11.1, 18.3) hours, P < 0.001], intensive care unit stay [4.0 (3.1, 4.9) vs 2.0 (1.8, 2.3) days, P < 0.001], postoperative hospital stay [17.8 (14.8, 20.9) vs 12.3 (11.3, 13.3) days, P < 0.001], and higher total cost [13,453 (8538, 20,228) vs 11,306 (6277, 16,400) dollars, P < 0.001].
Conclusions
Preoperative hypoalbuminemia was independently associated with AKI after non-cardiac surgery, and postoperative AKI was associated with poor outcomes.
Electronic supplementary material
The online version of this article (10.1186/s12871-019-0842-3) contains supplementary material, which is available to authorized users.
Keywords: Hypoalbuminemia, Acute kidney injury, Non-cardiac surgery, Prognosis
Background
Acute kidney injury (AKI) is a common complication after non-cardiac surgery with an incidence ranging from 6.8 to 39.3% according to different patient populations [1, 2]. Several underlying susceptibilities, procedures, or exposures have been identified to be risk factors of postoperative AKI occurrence, such as older age, chronic kidney disease, diabetes, sepsis, major surgery, and hemodynamic instability [3]. Recent evidence demonstrated that AKI was independently associated with longer length of hospital stay and higher rate of 30-day hospital readmission, 1-year end-stage renal disease, and mortality with more severe stage of AKI relating to poorer outcomes after non-cardiac surgery [4, 5]. Unfortunately, an effective treatment for AKI in the intensive care unit has not been established [6], strongly suggesting that early recognition of and adjusting for risk factors would be beneficial for high-risk patients.
Hypoalbuminemia is a well-established risk factor for increased morbidity and mortality in acutely ill patients [7]. The association between hypoalbuminemia and AKI is consistently evident in many observational studies conducted across different clinical settings, mainly focusing on infectious diseases, cancer, cardiac surgery, and transplant surgery [8–12]. Although the underlying mechanisms for this association are not fully elucidated, serum albumin may play a protection role in the maintenance of renal perfusion, preservation of proximal tubular integrity and function, binding of endogenous toxins and nephrotoxic drugs, prevention of oxidative damage, and delivery of protective lysophosphatidic acid [13, 14]. Therefore, we assumed that preoperative hypoalbuminemia might be associated with an increased risk of AKI following non-cardiac surgery. However, limited data are currently available on this topic [15–18]. Thus, this study aimed to investigate the association between preoperative serum albumin concentration and AKI occurrence in high-risk patients following non-cardiac surgery.
Methods
Ethics and consent
Ethical approval (2018–137) was provided by the Clinical Research Ethics Committee of Peking University First Hospital on July 4, 2018. Because of the retrospective nature of the study and no patient follow-up was performed, the ethics committee agreed to waive written informed consent. This study was performed in accordance with Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) criteria [see Additional file 1: Table S1].
Patients
The study period was from July 1, 2017, to June 30, 2018, with the following inclusion criteria: (1) adult patients (age ≥ 18 years), (2) undergoing non-cardiac surgery, (3) admitted to the surgical intensive care unit (SICU), and (4) at a high risk of postoperative AKI. High-risk patients referred to as patients having at least one of the following conditions: (1) preoperative comorbidities, including hypertension, diabetes mellitus, coronary heart disease, congestive heart failure, cerebrovascular disease, chronic kidney disease, lung disease, or liver disease; (2) major surgery, defined as surgery duration ≥2 h; (3) ongoing organ dysfunction, defined as the sequential organ failure assessment (SOFA) score ≥ 2 from one single organ system. Patients with any of the following criteria were excluded: (1) chronic kidney disease stage 5 or requiring long-term dialysis; (2) surgery involving kidney, such as nephrectomy, partial nephrectomy, nephroureterectomy, or kidney transplantation; (3) AKI events before surgery; and (4) incomplete clinical data. Our medical center is a teaching hospital affiliated with a university, which provides tertiary care and has about 1600 beds.
Definitions of outcomes
The primary end point was postoperative AKI development. Postoperative AKI and its severity was defined according to Kidney Disease Improving Global Outcomes criteria using the maximal change in serum creatinine compared with the preoperative baseline values and urine output during the first 7 postoperative days [19].
The secondary end points were the postoperative use of mechanical ventilation (MV) and its duration, length of ICU and postoperative hospital stay, number of postoperative complications other than AKI, total cost, and in-hospital mortality.
Other main postoperative complications were pulmonary infection, pleural effusion, pulmonary atelectasis, respiratory failure, surgical bleeding, new-onset arrhythmia, acute myocardial infarction, congestive heart failure, hemodynamic insufficiency, stroke, acute liver injury, disseminated intravascular coagulation, ileus, anastomotic leakage, intra-abdominal abscess, wound infection, wound dehiscence, urinary tract infection, sepsis, digestive tract bleeding, and venous thromboembolism [see Additional file 2: Table S2].
Other data collection
Patients’ data were searched through the electronic medical records system of our hospital. Perioperative data were collected including demographic characteristics (age, sex), body mass index (BMI), medical history, American Society of Anesthesiology (ASA) physical status classification, as well as preoperative nephrotoxin exposure. Other data collected were preoperative clinical laboratory data, such as hemoglobin, albumin, baseline serum creatinine, and B-type natriuretic peptide (BNP). Intraoperative data included type and duration of surgery, emergency surgery, duration of anesthesia, maximal lactate, minimal hemoglobin, estimated blood loss, use of vasopressors, volume of artificial colloids infusion, and fluid balance. Postoperative data before AKI included new onset of nephrotoxin exposure, sepsis, use of vasopressors, minimal hemoglobin, maximal lactate and BNP, perioperative blood transfusion, and non-renal SOFA score within 24 h of ICU admission.
Statistical analysis
Preoperative serum albumin concentration were firstly compared between patients with and without AKI by independent samples t-test. Then to determine its cutoff value for postoperative AKI occurrence, receiver operating characteristic curve analysis was performed. The patients were divided into two groups according to the occurrence of AKI or hypoalbuminemia. Quantitative variables with normal distribution were compared by independent samples t-test; numeric data with abnormal distribution were compared by Mann-Whitney U test. Qualitative variables were compared by chi-squared test or Fisher’s exact test. Time-to-event data were analyzed with Kaplan-Meier survival analysis, with difference between groups compared by log- rank test. After testing for collinearity, perioperative variables with P < 0.10 and number of events > 10 in the univariate analyses for AKI occurrence were included in multivariate logistic regression model (backward stepwise method) to identify independent risk factors for AKI. Furthermore, baseline variables unbalanced between patients with or without hypoalbuminemia were entered into propensity score matching. Then, patients were matched 1:1 based on their scores using nearest-neighbor matching with the tolerance being 0.02. Thereafter, logistic regression analysis was performed to find out the association between hypoalbuminemia and AKI. Two-sided P values < 0.05 were regarded as statistically significant. The SPSS v21.0 software package was used for statistical processing. (SPSS Inc., Chicago, IL, USA).
Results
During the study period, a total of 971 patients at a high risk of AKI undergoing non-cardiac surgery were admitted to SICU; among them, 729 met the inclusion/exclusion criteria and were included in the final statistical analysis (Fig. 1). Baseline and perioperative data were listed in Tables 1 and 2. Among the enrolled patients, 188 (25.8%) developed postoperative AKI stages 1, 2, and 3, which accounted for 21.9, 1.6, and 2.2%, respectively. Patients with postoperative AKI had significantly lower level of preoperative albumin compared with patients without AKI (36.7 ± 6.3 vs 39.3 ± 6.0 g/L, P < 0.001). The cutoff value of preoperative serum albumin for postoperative AKI occurrence was 37.5 g/L determined by the Youden index (P < 0.001, area under the curve [AUC] = 0.624) with a sensitivity of 0.54, specificity of 0.67, and positive predictive value of 0.36 [see Additional file 3: Figure S1].
Fig. 1.
Flow diagram of the study
Table 1.
Preoperative variables
| Total (n = 729) | Without postoperative AKI (n = 541) | With postoperative AKI (n = 188) | P value | Preoperative albumin ≥37.5 g/La (n = 456) | Preoperative albumin < 37.5 g/La (n = 273) | P value | |
|---|---|---|---|---|---|---|---|
| Age (y) | 67 ± 16 | 66 ± 16 | 71 ± 14 | < 0.001 | 66 ± 15 | 69 ± 14 | 0.056 |
| Male sex | 432 (59.3%) | 318 (58.8%) | 114 (60.6%) | 0.655 | 276 (60.5%) | 156 (57.1%) | 0.368 |
| BMI (kg/m2) | 24.1 ± 4.5 | 24.0 ± 4.6 | 24.6 ± 4.4 | 0.139 | 24.7 ± 4.3 | 23.2 ± 4.7 | < 0.001 |
| Preoperative comorbidities | |||||||
| Diabetes mellitus | 194 (26.6%) | 136 (25.1%) | 58 (30.9%) | 0.127 | 123 (27.0%) | 71 (26.0%) | 0.775 |
| Hypertension | 399 (54.7%) | 287 (53.0%) | 112 (59.6%) | 0.122 | 260 (57.0%) | 139 (50.9%) | 0.109 |
| Coronary heart disease | 195 (26.7%) | 138 (25.5%) | 57 (30.3%) | 0.199 | 130 (28.5%) | 65 (23.8%) | 0.165 |
| Congestive heart failure | 23 (3.2%) | 14 (2.6%) | 9 (4.8%) | 0.133 | 13 (2.9%) | 10 (3.7%) | 0.544 |
| Cerebrovascular disease | 140 (19.2%) | 99 (18.3%) | 41 (21.8%) | 0.293 | 94 (20.6%) | 46 (16.8%) | 0.212 |
| Chronic kidney disease | 23 (3.2%) | 9 (1.7%) | 14 (7.4%) | < 0.001 | 8 (1.8%) | 15 (5.5%) | 0.005 |
| Lung disease b | 68 (9.3%) | 51 (9.4%) | 17 (9.0%) | 0.876 | 41 (9.0%) | 27 (9.9%) | 0.686 |
| Liver disease c | 20 (2.7%) | 16 (3.0%) | 4 (2.1%) | 0.548 | 10 (2.2%) | 10 (3.7%) | 0.240 |
| Malignant neoplasm | 474 (65.0%) | 349 (64.5%) | 125 (66.5%) | 0.624 | 247 (65.1%) | 177 (64.8%) | 0.935 |
| Peripheral vascular disease | 37 (5.1%) | 24 (4.4%) | 13 (6.9%) | 0.182 | 21 (4.6%) | 16 (5.9%) | 0.455 |
| ASA classification | < 0.001 | < 0.001 | |||||
| I | 12 (1.6%) | 12 (2.2%) | 0 (0.0%) | 7 (1.5%) | 5 (1.8%) | ||
| II | 275 (37.7%) | 224 (41.4%) | 51 (27.1%) | 202 (44.3%) | 73 (26.7%) | ||
| III | 404 (55.4%) | 284 (52.5%) | 120 (63.8%) | 238 (52.2%) | 166 (60.8%) | ||
| IV | 38 (5.2%) | 21 (3.9%) | 17 (9.0%) | 9 (2.0%) | 29 (10.6%) | ||
| Preoperative Hb (g/L) d | 124 ± 23 | 125 ± 22 | 119 ± 26 | 0.007 | 133 ± 18 | 108 ± 23 | < 0.001 |
| Preoperative albumin (g/L) d | 38.6 ± 6.2 | 39.3 ± 6.0 | 36.7 ± 6.3 | < 0.001 | 42.5 ± 3.0 | 32.1 ± 4.2 | < 0.001 |
| Preoperative albumin < 37.5 g/L | 273 (37.4%) | 175 (32.3%) | 98 (52.1%) | < 0.001 | __ | __ | __ |
| Baseline serum creatinine (umol/L) e | 80.4 ± 26.3 | 78.2 ± 22.2 | 86.7 ± 35.1 | 0.002 | 81.5 ± 23.6 | 78.5 ± 30.4 | 0.163 |
| Preoperative BNP (pg/ml) f | 98 (43, 190) | 84 (38, 166) | 126 (61, 220) | 0.001 | 66 (31, 133) | 140 (72, 257) | < 0.001 |
| Radiocontrast exposure g | 76 (10.4%) | 48 (8.9%) | 28 (14.9%) | 0.020 | 44 (9.6%) | 32 (11.7%) | 0.375 |
| On ACEI/ARB | 62 (8.5%) | 48 (8.9%) | 14 (7.4%) | 0.546 | 38 (8.3%) | 24 (8.8%) | 0.830 |
| Smoking habit h | 136 (18.7%) | 108 (20.0%) | 28 (14.9%) | 0.124 | 94 (20.6%) | 42 (15.4%) | 0.079 |
Data are presented as mean ± SD, median (interquartile range), or number of patients (percentage) and compared by independent samples t-test, Mann-Whitney U test or chi-squared test/Fisher’s exact test respectively
ACEI angiotensin converting enzyme inhibitor, ARB angiotensin receptor blocker, ASA American Society of Anesthesiologists, BMI body mass index, BNP B-type natriuretic peptide, cTNI cardio-troponin, Hb hemoglobin
aThe cutoff value of preoperative albumin for postoperative AKI was determined by the Youden index of the ROC curve [see Additional file 3: Figure S1]
bIncluding chronic obstructive pulmonary disease, asthma, and pulmonary fibrosis
cIncluding any kind of chronic hepatitis and liver cirrhosis
dMeasured within 3 days before surgery
eDetermined by the minimal value of serum creatinine measured within 3 months before admission and in hospital before surgery; if neither value was available, the modification of diet in renal disease formula was adopted to estimate the baseline serum creatinine according to the Kidney Disease Improving Global Outcomes guideline
fMeasured in 366 patients before surgery
gIncluding patients who had radiocontrast exposure within 7 days before surgery
hSmoking for more than 10 cigarettes per day for more than 1 year, including current or past smokers
Table 2.
Intra- and postoperative variables
| Total (n = 729) | Without postoperative AKI (n = 541) | With postoperative AKI (n = 188) | P value | Preoperative albumin ≥37.5 g/La (n = 456) | Preoperative albumin < 37.5 g/La (n = 273) | P value | |
|---|---|---|---|---|---|---|---|
| Duration of anesthesia (min) | 258 (174, 338) | 253 (169, 337) | 277 (192, 347) | 0.053 | 243 (167, 330) | 272 (201, 364) | 0.002 |
| Duration of surgery (min) | 171 (97, 249) | 165 (92, 245) | 192 (110, 256) | 0.062 | 158 (88, 242) | 189 (121, 272) | 0.002 |
| Emergency surgery | 64 (8.8%) | 37 (6.8%) | 27 (14.4%) | 0.002 | 17 (3.7%) | 47 (17.2%) | < 0.001 |
| Open surgery b | 288 (53.9%) | 193 (50.0%) | 95 (64.2%) | 0.003 | 147 (45.1%) | 141 (67.8%) | < 0.001 |
| Type of surgery | |||||||
| General surgery c | 330 (45.3%) | 229 (42.3%) | 101 (53.7%) | 0.007 | 180 (39.5%) | 150 (54.9%) | < 0.001 |
| Neurosurgery | 18 (2.5%) | 15 (2.8%) | 3 (1.6%) | 0.585 | 10 (2.2%) | 8 (2.9%) | 0.535 |
| Thoracic surgery | 52 (7.1%) | 38 (7.0%) | 14 (7.4%) | 0.846 | 33 (7.2%) | 19 (7.0%) | 0.888 |
| Urologic surgery | 195 (26.7%) | 162 (29.9%) | 33 (17.6%) | 0.001 | 160 (35.1%) | 35 (12.8%) | < 0.001 |
| Gynecological surgery | 25 (3.4%) | 17 (3.1%) | 8 (4.3%) | 0.470 | 6 (1.3%) | 19 (7.0%) | < 0.001 |
| Orthopedic surgery | 52 (7.1%) | 38 (7.0%) | 14 (7.4%) | 0.846 | 29 (6.4%) | 23 (8.4%) | 0.294 |
| Vascular surgery | 15 (2.1%) | 10 (1.8%) | 5 (2.7%) | 0.552 | 11 (2.4%) | 4 (1.5%) | 0.383 |
| ENT surgery | 8 (1.1%) | 6 (1.1%) | 2 (1.1%) | > 0.999 | 3 (0.7%) | 5 (1.8%) | 0.158 |
| Others d | 24 (3.3%) | 18 (3.3%) | 6 (3.2%) | 0.928 | 18 (3.9%) | 6 (2.2%) | 0.200 |
| Intraoperative maximal lactate (mmol/L) e | 1.1 (0.8, 1.5) | 1.1 (0.8, 1.5) | 1.1 (0.8, 1.6) | 0.995 | 1.1 (0.8, 1.5) | 1.1 (0.8, 1.5) | 0.421 |
| Intraoperative minimal Hb (g/L) e | 112 ± 26 | 113 ± 26 | 111 ± 27 | 0.568 | 118 ± 25 | 104 ± 25 | < 0.001 |
| Intraoperative management | |||||||
| Use of vasopressors f | 175 (24.1%) | 116 (21.6%) | 59 (31.4%) | 0.007 | 116 (21.6%) | 59 (31.4%) | 0.007 |
| Volume of artificial colloid infusion (ml) | 500 (500, 1000) | 500 (500, 1000) | 500 (500, 1000) | 0.858 | 500 (500, 1000) | 500 (500, 1000) | 0.618 |
| Estimated blood loss (ml) | 100 (10, 300) | 100 (10, 300) | 100 (10, 300) | 0.138 | 100 (10, 300) | 100 (10, 400) | 0.034 |
| Positive fluid balance (ml) | 2202 ± 1605 | 2201 ± 1579 | 2204 ± 1679 | 0.982 | 2093 ± 1516 | 2382 ± 1731 | 0.023 |
| Postoperative variables before AKI g | |||||||
| Nephrotoxin exposure | |||||||
| Glycopeptides | 46 (6.3%) | 35 (6.5%) | 11 (5.9%) | 0.764 | 17 (3.7%) | 29 (10.6%) | < 0.001 |
| Aminoglycoside | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – | 0 (0.0%) | 0 (0.0%) | – |
| NSAIDs | 387 (53.1%) | 292 (54.0%) | 95 (50.5%) | 0.415 | 265 (58.1%) | 122 (44.7%) | < 0.001 |
| Hemolysis | 1 (0.1%) | 1 (0.2%) | 0 (0.0%) | > 0.999 | 0 (0.0%) | 1 (0.4%) | 0.374 |
| Rhabdomyolysis | 1 (0.1%) | 1 (0.2%) | 0 (0.0%) | > 0.999 | 0 (0.0%) | 1 (0.4%) | 0.374 |
| Sepsis | 47 (6.4%) | 29 (5.4%) | 18 (9.6%) | 0.043 | 12 (2.6%) | 35 (12.8%) | < 0.001 |
| Use of vasopressors f | 77 (10.6%) | 53 (9.8%) | 24 (12.8%) | 0.254 | 41 (9.0%) | 36 (13.2%) | 0.074 |
| Minimal Hb (g/L) | 103 ± 25 | 105 ± 26 | 99 ± 21 | 0.008 | 109 ± 27 | 94 ± 18 | < 0.001 |
| Maximal BNP (pg/ml) | 247 (130, 456) | 244 (128, 443) | 264 (142, 513) | 0.265 | 209 (115, 373) | 322 (188, 564) | < 0.001 |
| Maximal lactate (mmol/L) | 1.9 (1.3, 2.7) | 1.9 (1.3, 2.7) | 1.8 (1.3, 2.8) | 0.751 | 1.9 (1.4, 2.7) | 1.8 (1.3, 2.7) | 0.377 |
| Perioperative blood transfusion h | 186 (25.5%) | 131 (24.2%) | 55 (29.3%) | 0.172 | 89 (19.5%) | 97 (35.5%) | < 0.001 |
| Non-renal SOFA within 24 h ICU admission | 2 (1, 3) | 2 (1, 3) | 2 (2, 4) | 0.005 | 2 (1, 3) | 3 (1, 4) | 0.001 |
| Postoperative AKI | 188 (25.8%) | – | – | – | 90 (19.7%) | 98 (35.9%) | < 0.001 |
Data are presented as mean ± SD, median (interquartile range), or number of patients (percentage) and compared by independent samples t-test, Mann-Whitney U test or chi-squared test/Fisher’s exact test respectively
BNP B-type natriuretic peptide, ENT ear, nose and throat, Hb hemoglobin, NSAIDs non-steroidal anti-inflammatory drugs, SOFA sequential organ failure assessment score
a The cutoff value of preoperative albumin for postoperative AKI was determined by the Youden index of the ROC curve [see Additional file 3: Figure S1]
b Open or laparoscopic surgery referred to 534 patients
c Abdominal surgery, such as gastrointestinal, hepatobiliary, and pancreatic surgery
d Thyroid or breast surgery
e Measured by arterial blood gas analysis
f Including use of phenylephrine, norepinephrine, epinephrine, and dopamine
g Occurred before start of AKI
h Perioperative blood product transfusion, including packed red blood cell, plasma, and platelet
The incidence of AKI in patients with serum albumin < 37.5 g/L (35.9% [98/273]) was significantly higher than those with serum albumin ≥37.5 g/L (19.7% [90/456]) (P < 0.001). Univariate analysis showed that preoperative serum albumin < 37.5 g/L was strongly associated with the occurrence of postoperative AKI (OR 2.277; 95% CI 1.624–3.194; P < 0.001). In the multivariate logistic regression model (backward), preoperative serum albumin < 37.5 g/L was identified to be independently associated with postoperative AKI (OR 1.892; 95% CI 1.238–2.891; P < 0.001). Other independent risk factors for AKI included age (OR 1.018; 95% CI 1.004–1.033; P = 0.013), radiocontrast exposure (OR 1.843; 95% CI 1.031–3.293; P = 0.039), baseline creatinine (OR 1.016; 95% CI 1.008–1.025; P < 0.001), ASA classification (OR 1.719; 95% CI 1.193–2.477; P = 0.004), and intraoperative use of vasopressors (OR 1.680; 95% CI 1.065–2.648; P = 0.026) (Table 3). After matching for age, BMI, history of chronic kidney disease, preoperative hemoglobin, and ASA classification, 161 pairs of patients with or without hypoalbuminemia were well balanced in their baseline variables except for malignant neoplasm and ASA classification [see Additional file 4: Table S3; Additional file 5: Table S4]. Logistic regression analysis once again revealed that preoperative serum albumin < 37.5 g/L was independently associated with postoperative AKI (OR 3.085; 95% CI 1.649–5.771; P < 0.001) [see Additional file 6: Table S5].
Table 3.
Independent risk factors for postoperative AKI
| Univariate Logistic model a | Multivariate Logistic model b | |||
|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | |
| Age (y) | 1.022 (1.010–1.034) | < 0.001 | 1.018 (1.004–1.033) | 0.013 |
| History of chronic kidney disease | 4.756 (2.023–11.180) | < 0.001 | – | – |
| Sepsis | 1.869 (1.013–3.451) | 0.046 | – | – |
| Radiocontrast exposure c | 1.797 (1.091–2.961) | 0.021 | 1.843 (1.031–3.293) | 0.039 |
| Baseline creatinine (umol/L) d | 1.011 (1.005–1.017) | < 0.001 | 1.016 (1.008–1.025) | < 0.001 |
| Preoperative Hb (g/L) e | 0.990 (0.983–0.997) | 0.004 | – | – |
| Preoperative albumin < 37.5 g/L e | 2.277 (1.624–3.194) | < 0.001 | 1.892 (1.238–2.891) | 0.003 |
| ASA classification | 1.966 (1.472–2.625) | < 0.001 | 1.719 (1.193–2.477) | 0.004 |
| Open surgery | 1.792 (1.213–2.650) | 0.003 | – | – |
| Emergency surgery | 2.284 (1.349–3.869) | 0.002 | ||
| General surgery f | 1.582 (1.133–2.208) | 0.007 | – | – |
| Duration of surgery (every 1 h increase) | 1.047 (0.976–1.124) | 0.202 | – | – |
| Intraoperative use of vasopressors g | 1.660 (1.146–2.404) | 0.007 | 1.680 (1.065–2.648) | 0.026 |
| Non-renal SOFA within 24 h ICU admission | 1.133 (1.044–1.230) | 0.003 | – | – |
ASA American Society of Anesthesiologists, CI confidence interval, Hb hemoglobin, OR odds ratio, SOFA sequential organ failure assessment score
a Perioperative variables with P < 0.10 in the univariate analyses by independent samples t test, Mann-Whitney U test, chi-squared test, or Fisher’s exact test were included, except preoperative BNP, duration of anesthesia, and postoperative minimal Hb before AKI because of collinearity
b Backward: LR
c Including patients who had radiocontrast exposure within 7 days before surgery
d Determined by the minimal value of serum creatinine measured within 3 months before admission and in hospital before surgery; if neither value was available, the modification of diet in renal disease formula was adopted to estimate the baseline serum creatinine according to the Kidney Disease Improving Global Outcomes guideline
e Measured within 3 days before surgery
f Abdominal surgery, such as gastrointestinal, hepatobiliary, and pancreatic surgery
g Including use of phenylephrine, norepinephrine, epinephrine, and dopamine
Moreover, for severity of AKI, patients with preoperative serum albumin < 37.5 g/L tended to have a higher but not significant ratio in AKI stage 2 (2.6% vs 1.1%, P = 0.144) and a much higher ratio in AKI stage 3 (4.8% vs 0.7%, P < 0.001) than those with preoperative serum albumin ≥37.5 g/L.
To determine the cause of hypoalbuminemia, we further analyzed preoperative nutritional status using criteria of nutritional risk screening 2002 (NRS 2002). The results showed that patients with preoperative serum albumin < 37.5 g/L had significantly increased NRS score [4 (2, 4) vs 1 (1, 2), P < 0.001] and had a much higher ratio of NRS score ≥ 3 (77.5% vs 15.5%, P < 0.001).
Of all included patients, 14 patients (1.9%) died during hospital stay. Patients with preoperative serum albumin < 37.5 g/L had a mortality rate of 4.4%, which was much higher than 0.4% in patients with preoperative serum albumin ≥37.5 g/L (P < 0.001). The cumulative survival rate was also lower in patients with hypoalbuminemia (P = 0.003) (Fig. 2). Compared with that in non-AKI patients, the mortality rate was significantly higher in AKI patients (6.9% [13/188] vs. 0.2% [1/541]; P < 0.001). Kaplan-Meier analysis revealed that the cumulative survival rate decreased with increasing AKI severity (P < 0.001) (Fig. 3). In addition, postoperative AKI was associated with other worse outcomes, such as prolonged mechanical ventilation [53.4 (33.0, 73.8) vs 14.7 (11.1, 18.3) hours, P < 0.001], higher rate of other postoperative complications [0 (0, 2) vs 0 (0, 0), P < 0.001], ICU stay [4.0 (3.1, 4.9) vs 2.0 (1.8, 2.3) days, P < 0.001], postoperative hospital stay [17.8 (14.8, 20.9) vs 12.3 (11.3, 13.3) days, P < 0.001], and higher total cost [13,453 (8538, 20,228) vs 11,306 (6277, 16,400) dollars, P < 0.001] (Table 4, Additional file 2: Table S2). We also further analyzed AKI patients, preoperative hypoalbuminemia (< 37.5 g/L) was associated with more use of MV (72.4% [71/98] vs. 56.7% [51/90]; P = 0.024), longer ICU stay [4.5 (3.3, 5.7) vs 3.4 (2.1, 4.8) days, P = 0.027], higher occurrence of postoperative complications [1 (0, 3) vs 0 (0, 1), P < 0.001], and higher mortality (11.2% [11/98] vs. 2.2% [2/90]; P = 0.020) and total cost [15,160 (10,345, 22,221) vs 12,111 (6262, 17,763) dollars, P = 0.011] (Table 4). All the dataset of our study are available [see Additional file 7: Dataset].
Fig. 2.
Cumulative survival rate of patients with preoperative serum albumin < 37.5 or ≥ 37.5 g/L.
Fig. 3.
Cumulative survival rate of patients with stages 1–, 2, and 3 AKI during postoperative hospital stay
Table 4.
Postoperative outcomes
| Total (n = 729) | All patients (n = 729) | P value | AKI patients (n = 188) | P value | |||
|---|---|---|---|---|---|---|---|
| Without postoperative AKI (n = 541) | With postoperative AKI (n = 188) | Preoperative albumin ≥37.5 g/L (n = 90) | Preoperative albumin < 37.5 g/L (n = 98) | ||||
| On MV in ICU | 390 (53.6%) | 268 (49.6%) | 122 (64.9%) | < 0.001 | 51 (56.7%) | 71 (72.4%) | 0.024 |
| Duration of MV (h) a | 26.9 (19.8, 34.0) | 14.7 (11.1, 18.3) | 53.4 (33.0, 73.8) | < 0.001 | 55.4 (21.5, 89.4) | 51.9 (26.5, 77.4) | 0.835 |
| Length of ICU stay (d) b | 2.5 (2.3, 2.8) | 2.0 (1.8, 2.3) | 4.0 (3.1, 4.9) | < 0.001 | 3.4 (2.1, 4.8) | 4.5 (3.3, 5.7) | 0.027 |
| Number of postoperative complications except AKI c | 0 (0, 1) | 0 (0, 0) | 0 (0, 2) | < 0.001 | 0 (0, 1) | 1 (0, 3) | < 0.001 |
| Postoperative hospital stay (d) d | 13.7 (12.6, 14.8) | 12.3 (11.3, 13.3) | 17.8 (14.8, 20.9) | < 0.001 | 16.9 (11.8, 22.0) | 18.7 (15.2, 22.2) | 0.158 |
| In-hospital mortality | 14 (1.9%) | 1 (0.2%) | 13 (6.9%) | < 0.001 | 2 (2.2%) | 11 (11.2%) | 0.020 |
| Total cost (10,000 dollars) | 1.2 (0.7, 1.7) | 1.1 (0.6, 1.6) | 1.3 (0.9, 2.0) | < 0.001 | 1.2 (0.6, 1.8) | 1.5 (1.0, 2.2) | 0.011 |
Data are presented as number of patients (percentage), or median (interquartile range), unless otherwise indicated
ICU intensive care unit, MV mechanical ventilation
a Results of patients requiring postoperative mechanical ventilation. Data were analyzed by Kaplan-Meier analysis and compared by log-rank test; results are presented as average (95% confidence interval);
b Result of patients admitted to ICU. Data were analyzed by Kaplan-Meier analysis and compared by log-rank test; results are presented as average (95% confidence interval)
c Including pulmonary infection, pleural effusion, atelectasis, respiratory failure, acute myocardial infarction, congestive heart failure, new-onset arrhythmia, hemodynamic insufficiency, stroke, venous thromboembolism, ileus, intra-abdominal abscess, wound infection, urinary tract infection, sepsis, surgical bleeding, digestive tract bleeding, acute liver injury, disseminated intravascular coagulation, anastomotic leakage, and wound dehiscence [see Additional file 2: Table S2]
d Data were analyzed by Kaplan-Meier analysis and compared by log-rank test; results are presented as average (95% confidence interval)
Discussion
Results of this retrospective study showed that preoperative hypoalbuminemia was independently associated with AKI occurrence in high-risk patients following non-cardiac surgery. In addition, more severe AKI stage was found in hypoalbuminemic patients. In accordance with previous reports of outcomes after non-cardiac surgery [1, 2, 20], the in-hospital mortality rate in AKI patients (6.9%) was very much higher than that in patients without AKI (0.2%). Other outcomes, such as ICU, postoperative hospital stay, and total cost, were also much worse in AKI patients. Furthermore, AKI patients with hypoalbuminemia had even more detrimental outcomes.
Cumulative evidence have shown that hypoalbuminemia is an important risk factor for postoperative AKI in various clinical settings [8–12]. However, in surgical settings, studies were mainly focused on cardiac surgery and transplant surgery [11, 12, 21–23]. Few studies have examined the effect of preoperative hypoalbuminemia on postoperative AKI patients undergoing non-cardiac surgery. Kim et al. [15] conducted a retrospective study enrolling 4718 patients who underwent partial or total gastrectomy for gastric cancer, and they revealed that patients with preoperative hypoalbuminemia, defined as < 40 g/L, had a significantly increased risk for AKI (OR 1.4; 95% CI 1.11–1.77). In patients following hip fracture surgery or total knee arthroplasty, after adjustment for confounders, early postoperative hypoalbuminemia has been shown to be strongly associated with AKI with a cutoff value of < 29 g/L and < 30 g/L [16, 17]. Recently, Kim et al. found that a preoperative serum albumin level < 38 g/L was independently associated with AKI (OR 2.465; CI 1.310–4.640) and mortality (OR 3.223; CI 1.959–5.305) in patients undergoing brain tumor surgery [18]. The finding from our study that preoperative hypoalbuminemia had a significant relationship with postoperative AKI was consistent with the results above. The cutoff value for hypoalbuminemia in our patients was 37.5 g/L, well above the usually accepted definition for hypoalbuminemia. Thus, our results suggested that with even a little decrease in preoperative serum albumin concentration, a higher incidence of postoperative AKI would occur in high-risk patients undergoing non-cardiac surgery.
Several possible mechanisms underlie this association. As a scavenger of radical oxygen species, combined with its anti-inflammation effects, albumin limits tubular cell apoptosis [24, 25]. Recent data have suggested that the integrity of the glycocalyx might be compromised in patients with hypoalbuminemia leading to loss of oncotic pressure gradients and barrier function, fluid leakage into the interstitium, and microvascular flow alterations [26, 27]. Moreover, ligation of endogenous toxin, modulation of nitric oxide and pharmacokinetic and pharmacodynamic effects of albumin also play an important role in renal protection [28, 29].
Albumin cutoff values vary between studies, and we attributed this difference to various study populations and types of surgery. In our study, as mentioned above, the cutoff value of 37.5 g/L had a sensitivity of 0.54, specificity of 0.67, and positive predictive value of 0.36; in patients undergoing brain tumor surgery, the cutoff value of 38 g/L had a similar sensitivity of 0.54, but lower specificity of 0.27 and positive predictive value of 0.04, which might be partly explained by the low incidence of AKI (1.8%) [18]. However, the AUC appeared to be similar with 0.624 in our non-cardiac surgery patients, 0.653 in hip fracture patients [16], and 0.684 in brain tumor patients [18]. Considering the possible negative association between serum albumin and AKI occurrence as reflected by research in patients undergoing cardiac surgery [11], we assumed that patients with a higher risk of postoperative AKI, such as having several comorbidities or undergoing general surgery [4], might have a lower tolerance threshold of serum albumin for AKI occurrence, thus requiring higher levels of serum albumin to protect perioperative renal function.
Currently, increasing amount of data revealed that postoperative AKI occurrence is associated with short-term adverse outcomes such as higher mortality and longer ICU and hospital stay [1, 2, 4, 11], which was also confirmed by our study. Furthermore, in AKI patients, preoperative hypoalbuminemia was associated with more use of MV, longer ICU stay, higher occurrence of postoperative complications, and higher mortality and total cost.
Unfortunately, there is still no effective treatment for AKI at present. Therefore, early recognition of high-risk patients and prevention of postoperative AKI become the first priority in clinical practice. Basic and clinical studies mentioned above indicated a potential benefit of correcting hypoalbuminemia for renal protection. Excitingly, Lee et al. [30] had made a step further. They recently performed a randomized controlled trial evaluating the effects of exogenous 20% human albumin solution vs saline on the incidence of postoperative AKI in adult patients with hypoalbuminemia (< 40 g/L) undergoing off-pump coronary artery bypass surgery. Their results have demonstrated that the incidence of postoperative AKI was lower in the intervention group than in the control group (17.6% vs 31.7%; P = 0.031). Multivariate logistic regression analysis revealed a renal-protective effect of albumin infusion with nearly 60% risk of AKI decreased (OR = 0.42, 95% CI: 0.21–0.83; P = 0.012). However, further studies are needed to address the results in the future, especially in patients undergoing non-cardiac surgery. Another way to increase preoperative serum albumin level is optimization of nutritional status. As shown in our study, 77.5% of hypoalbuminemic patients had preoperative NRS score ≥ 3, which indicated that malnutrition might be an important contributor to the occurrence of hypoalbuminemia. Until now, several studies have demonstrated significantly better results in overall and infectious complications in patients undergoing preoperative nutritional therapy [31–33]. However, data on the association between nutritional support and postoperative AKI were limited. Therefore, more work is needed to verify the effects of optimizing nutritional status on AKI, especially for patients undergoing non-cardiac surgery.
This study has major limitations. First, although we considered many perioperative AKI-related variables in our analysis, the effects of non-investigated factors could not be totally excluded. Second, given the lack of statistical power, subgroup analyses for the association of different preoperative albumin levels with AKI were not performed. Finally, in view of the retrospective and observational nature of this study, a causal relationship between preoperative hypoalbuminemia and risk of postoperative AKI could not be determined.
Conclusions
Our results showed that preoperative hypoalbuminemia was independently associated with AKI in high-risk patients following non-cardiac surgery, and postoperative AKI was associated with adverse prognosis. Prospective trials are needed to further identify the association between hypoalbuminemia and AKI and explore the potential beneficial effects of albumin infusion or specific nutritional therapy on postoperative AKI prevention.
Additional files
Table S1. STROBE Statement. Checklist of our cohort study, which demonstrates STROBE Statement Checklist of our cohort study. (DOCX 28 kb)
Table S2. Occurrence of other postoperative complications. Demonstrates the occurrence and definitions of other postoperative complications. (DOCX 21 kb)
Figure S1. Preoperative serum albumin receiver operating characteristic curve for discriminating critically ill subjects with or without AKI. Demonstrates preoperative serum albumin receiver operating characteristic curve for discriminating patients with or without AKI. (DOCX 29 kb)
Table S3. Preoperative variables after propensity score matching. Description: Demonstrates preoperative variables between patients with or without hypoalbuminemia after propensity score matching. (DOCX 20 kb)
Table S4. Intra- and postoperative variables after propensity score-matching. Demonstrates intra- and postoperative variables between patients with or without hypoalbuminemia after propensity score-matching. (DOCX 21 kb)
Table S5. Independent risk factors for postoperative AKI after propensity score matching. Demonstrates the independent risk factors for postoperative AKI after propensity score matching. (DOCX 16 kb)
Dataset. Relevant data underlying the main results. (XLSX 413 kb)
Acknowledgements
The authors gratefully acknowledge Dr. Ning Han, Dr. Run-Xia Cheng, and Dr. Lin-Lin Yang (Department of Nephrology, Peking University First Hospital, Beijing, China) for their suggestions of the CRF design.
Abbreviations
- AKI
Acute kidney injury
- ASA
American Society of Anesthesiology
- AUC
Area under the curve
- BMI
Body mass index
- BNP
B-type natriuretic peptide
- MV
Mechanical ventilation
- NRS
Nutritional risk screening
- SICU
Surgical intensive care unit
- SOFA
Sequential organ failure assessment
Authors’ contributions
NL: study development, data collection, first draft of the manuscript, and data editing; HQ: data collection, manuscript editing; JFG: data collection and manuscript editing; HYY: data collection; XYL: statistical analysis; SLL: study design and final version of the manuscript; DXW: study design and manuscript editing; LY: study design and final version of the manuscript. All authors read and approved the final manuscript.
Funding
No funding support this research.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files.
Ethics approval and consent to participate
The study protocol was approved by the Clinical Research Ethics Committee of Peking University First Hospital (2018–137). The ethics committee agreed to waive the written informed consent.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Contributor Information
Nan Li, Email: iculinan@163.com.
Hong Qiao, Email: qqhhong@163.com.
Jing-Fei Guo, Email: trhsbcq@163.com.
Hong-Yun Yang, Email: 724606544@qq.com.
Xue-Ying Li, Email: xyinglee@163.com.
Shuang-Ling Li, Email: lishuangling888@hotmail.com.
Dong-Xin Wang, Email: wangdongxin@hotmail.com.
Li Yang, Email: li.yang@bjmu.edu.cn.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1. STROBE Statement. Checklist of our cohort study, which demonstrates STROBE Statement Checklist of our cohort study. (DOCX 28 kb)
Table S2. Occurrence of other postoperative complications. Demonstrates the occurrence and definitions of other postoperative complications. (DOCX 21 kb)
Figure S1. Preoperative serum albumin receiver operating characteristic curve for discriminating critically ill subjects with or without AKI. Demonstrates preoperative serum albumin receiver operating characteristic curve for discriminating patients with or without AKI. (DOCX 29 kb)
Table S3. Preoperative variables after propensity score matching. Description: Demonstrates preoperative variables between patients with or without hypoalbuminemia after propensity score matching. (DOCX 20 kb)
Table S4. Intra- and postoperative variables after propensity score-matching. Demonstrates intra- and postoperative variables between patients with or without hypoalbuminemia after propensity score-matching. (DOCX 21 kb)
Table S5. Independent risk factors for postoperative AKI after propensity score matching. Demonstrates the independent risk factors for postoperative AKI after propensity score matching. (DOCX 16 kb)
Dataset. Relevant data underlying the main results. (XLSX 413 kb)
Data Availability Statement
All data generated or analyzed during this study are included in this published article and its supplementary information files.