Abstract
Background
Without sufficient evidence in postoperative acute kidney injury (AKI) in critically ill patients undergoing emergency surgery, it is meaningful to explore the incidence, risk factors, and prognosis of postoperative AKI.
Methods
A prospective observational study was conducted in the general intensive care units (ICUs) from January 2014 to March 2018. Variables about preoperation, intraoperation and postoperation were collected. AKI was diagnosed using the Kidney Disease: Improving Global Outcomes criteria.
Results
Among 383 critically ill patients undergoing emergency surgery, 151 (39.4%) patients developed postoperative AKI. Postoperative reoperation, postoperative Acute Physiology and Chronic Health Evaluation (APACHE II) score, and postoperative serum lactic acid (LAC) were independent risk factors for postoperative AKI, with the adjusted odds ratio (ORadj) of 1.854 (95% confidence interval [CI], 1.091–3.152), 1.059 (95%CI, 1.018–1.102), and 1.239 (95%CI, 1.047–1.467), respectively. Compared with the non-AKI group, duration of mechanical ventilation, renal replacement therapy, ICU and hospital mortality, ICU and hospital length of stay, total ICU and hospital costs were higher in the AKI group.
Conclusions
Postoperative reoperation, postoperative APACHE II score, and postoperative LAC were independent risk factors of postoperative AKI in critically ill patients undergoing emergency surgery.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12882-022-02675-0.
Keywords: Acute kidney injury, Emergency surgery, Critically ill patients, Risk factor, Prognosis
Introduction
Acute kidney injury (AKI) is a common postoperative complication, with the incidence ranged from 0.8 to 39% described by previous studies [1–3]. The incidence of postoperative AKI ranges varies considerably, which might be related to the diagnostic criteria of AKI and the type of surgery [4]. Studies had shown that the incidence of AKI in critically ill patients was between 31.6 and 67% [5–7]. We speculate that the incidence of postoperative AKI will be high in critically ill patients who have undergone emergency surgery. In contrast, the incidence and risk factors of AKI after emergency surgery in critically ill patients have not been well described.
Postoperative AKI could be potentially fatal, which was mainly manifested by increased hospital mortality [8], prolonged hospital stays, the occurrence of chronic kidney disease (CKD) [9, 10], and accelerated progression to end-stage renal disease (ESRD) [11, 12]. Embedding routinely available data, simple accurate risk scores could be used to predict prognosis [13, 14]. Therefore, it is always a hot topic to clarify the clinical characteristics of postoperative AKI and take effective measures for corresponding prevention and intervention, which is of great clinical significance for improving the safety of patients during the perioperative period. But, for now, most postoperative AKI research focuses on cardiac surgery [15], non-cardiac surgery [16, 17], or neurosurgery [18, 19] at present. Meanwhile, most of the risk factors related to postoperative acute kidney injury are concentrated in specialized operations, so the operation population and operation type are single, which can not reflect the heterogeneities. Hence, research on the incidence, risk factors, and prognosis of postoperative AKI in critically ill patients undergoing emergency surgery was scarce. And it might result in an undesired postponement in initial therapies. A greater understanding of morbidity and risk factors of postoperative AKI after emergency surgery might advance timely diagnosis and treatment. Consequently, we directed this study in adult intensive care units (ICUs) to explore the incidence of postoperative AKI after emergency surgery, recognize perioperative risk factors, elucidate the relationship between postoperative AKI and prognoses, clarify the epidemiological status, and advance the early identification and diagnosis of postoperative AKI.
Methods
Study design and participants
This prospective observational research was managed in the general ICUs from Guangdong Provincial People’s Hospital. From January 2014 to March 2018, patients who were admitted to ICU immediately after undergoing noncardiovascular emergency surgery were included. Some patients were already in the ICU prior to the surgery, and some were transferred to the ICU after surgery. Those excluded patients conformed to the criteria that were younger than 18 years, refusal of consent, preexisting ESRD, presence of AKI before emergency surgery, or missing admission data. The primary outcome was defined as the occurrence of AKI according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria within 1 week after noncardiovascular emergency surgery. And the secondary outcome comprised postoperative duration of mechanical ventilation, postoperative reintubation, postoperative RRT during ICU stay, ICU and hospital mortality, length of ICU and hospital stay, as well as ICU and hospital costs. Following Strengthening the Reporting of Observational Studies in Epidemiology guidelines [20], written informed consent was offered to patients or surrogates for patients’ inability to consent. This research was authorized by the Ethics Committee and executed complying with the Declaration of Helsinki.
Data collection
Clinical and demographic characteristics and outcomes of these patients were collected once they were admitted to the ICU. Age, gender, body mass index (BMI), preexisting clinical conditions [hypertension, diabetes mellitus, CKD, cerebrovascular disease, and coronary artery disease (CAD)], American Society of Anesthesiologist (ASA) classification, classification of New York Heart Association (NYHA) heart function, preoperative medication including the preoperative use of nephrotoxic drugs [nonsteroidal anti-inflammatory drug (NSAID), angiotensin-converting enzyme inhibitor (ACEI), angiotensin receptor blocker (ARB), immunosuppressant, aminoglycoside, vancomycin, acyclovir, or amphotericin] and the preoperative administration of radiographic contrast, surgery group (neurosurgical surgery, noncardiovascular chest surgery, abdominal surgery, or others), and incision type were registered. Comprising the level of preoperative hemoglobin, baseline serum creatinine (sCr), baseline estimated glomerular filtration rate (eGFR), and concentration of postoperative sCr, hemoglobin, and the lactic acid (LAC) at ICU admission, laboratory data were recorded. Serum creatinine and hemoglobin were detected both preoperation and at least once a day as a part of routine clinical care during ICU hospitalization. The hourly urine output (U.O.) of each patient was also recorded from enrollment to ICU discharge. The postoperative Acute Physiology and Chronic Health Evaluation (APACHE II) score, which was utilized to estimate the patient’s overall condition, was evaluated instantly after anesthesia recovery. Postoperative reoperation within 1 week after the first noncardiovascular emergency surgery was taken notes. Surgical data containing general anesthesia, duration of surgery, intraoperative estimated blood loss, lowest mean arterial pressure (MAP; i.e., lowest MAP for at least five continuous minutes) during anesthesia, radiographic contrast, intraoperative U.O., amount and type of intraoperative fluids administered (crystalloid and artificial colloid), intraoperative transfusions [red blood cells (RBCs), platelets, and plasma] were recorded. Prognosis variables were also recorded, comprising duration of postoperative mechanical ventilation, the incidence of postoperative tracheal reintubation and RRT, ICU and in-hospital mortality, length of stay in hospital and ICU, and total ICU and in-hospital costs.
Definitions
AKI was diagnosed according to the KDIGO criteria [21] within 1 week after surgery. However, because U.O. criteria could be affected by administrating diuretics or obesity, we adopted serum creatinine to diagnose AKI. The eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation [22]. CKD was defined as baseline eGFR < 60 ml/minute/1.73 m2. The baseline sCr was defined as following rules in sequence as described in previous study: (1) the most recent pre-ICU value (between 30 and 365 days before ICU admission); (2) for patients aged < 40 years, a stable pre-ICU value > 365 days before ICU admission (stable defined as within 15% of the lowest ICU measurement); (3) pre-ICU value (> 365 days before ICU admission) and less than the initial sCr at ICU admission; (4) a pre-ICU value (between 3 and 39 days before ICU admission) ≤ initial sCr at the time of admission to ICU and not distinctly in AKI; if patients did not have serum creatine value before ICU admission, (5) the lowest sCr upon initial admission value, the final ICU value, or the minimum value at follow-up unto 365 days [23–25]. Surgical incision was classified into three types, including clean wound (type I), relative clean wounds (type II) and contaminated wounds (type III).
Sample measurements
All samples were collected simultaneously within 1 h after ICU admission and analyzed at the central laboratory of the Guangdong Provincial People’s Hospital utilizing a standard protocol. The concentrations of samples were measured using commercially available multiplex assays and enzyme-linked immunosorbent assays following the manufacturer’s instructions.
Statistical analysis
To estimate the multivariable regression coefficients, events per variable (EPV) > 10 was a significant problem [26]. EPV = 10 should be obligatory in this outcome model to avoid bias. Therefore, to meet with a model with 5 covariates, we needed to involve nearly 50 outcome events. With an approximated postoperative AKI incidence of 15%, which was found by previous studies that the incidence of AKI fluctuated from 0.8 to 39% due to different surgical types, we beforehand computed the sample size. Thus, a sample size of 334 cases was essential. Given a possible dropout rate of 10%, we should require at least 368 patients.
SPSS version 16.0 software program (SPSS Inc., Chicago, Illinois, USA) was used in the statistical analyses. A two-sided P-value of less than 0.05 was deemed as statistically significant. Mean ± standard deviation (S.D.), median and interquartile range (IQR) performed in continuous variables, while percentages were utilized to present categorical variables. In terms of continuous variables, a t-test was used to compare normally distributed variables. At the same time, the Wilcoxon rank-sum test was utilized in the comparison of non-normally distributed variables. Meanwhile, the chi-square test or Fisher’s exact test were used in the comparison of categorical variables. Univariate logistic regression analysis was performed to examine the relationship between each indicator and postoperative AKI separately. We also conducted multivariate logistic regression to evaluate the variables which were independently related to postoperative AKI. A criterion of P < 0.10 in the univariate analysis entered into multivariate analysis. Multivariate logistic forward stepwise regression was subsequently utilized to evaluate the most competent predictors of postoperative AKI. OR with 95% confidence intervals (C.I.s) was used to describe the results.
Results
Preoperative baseline characteristics of the patients
Figure 1 presented the protocol and flow diagram of the screening process. Among 412 patients enrolled for the study, 29 were excluded due to the subsequent reasons: younger than 18 years (n = 2), refusal of consent (n = 4), end-stage renal disease (n = 2), presence of AKI before emergency procedure (n = 14), and missing data (n = 7). Finally, a total of 383 patients were involved, among whom 67 (17.5%) were already in the ICU before surgery, and 316 (82.5) were admitted to the ICU after surgery. Of them, 151 (39.4%) patients occurred in postoperative AKI basing on the KDIGO criteria. Of those patients who evolved into postoperative AKI, 92 patients (60.9%) developed to stage 1, 40 patients (26.5%) were progressed to stage 2, and 19 patients were evolved into stage 3 (12.6%). Among the 151 postoperative AKI patients, 110 (72.8%) developed postoperative AKI on the first day after the operation, 25 (16.6%) on the second day, 6 (4.0%) on the third day, and 10 (6.6%) patients beyond 3 days. Thus, 93.4% of the patients reached postoperative AKI within 3 days after emergency operations.
Fig. 1.
Flow chart from recruitment to the outcome. Abbreviations: ICU, intensive care unit; AKI, acute kidney injury
As presented in Table 1, compared with non-AKI patients, patients with AKI had a significantly higher rate of preexisting clinical conditions of hypertension, and a larger proportion of patients in the AKI group underwent abdominal surgery than in the non AKI group. Moreover, both ASA classification and Classification of NYHA heart function were significantly higher in patients involving in postoperative AKI. Whereas, compared with postoperative AKI, there were no significant differences in age, sex, BMI, the preexisting clinical conditions (including diabetes mellitus, cerebrovascular disease, CAD), preoperative hemoglobin concentration, baseline sCr, baseline eGFR, preoperative medication of radiographic contrast, some varieties of surgery group (containing noncardiovascular chest surgery, others) and incision type in patients without postoperative AKI. Contrary to expectations, there was no marked difference between postoperative AKI patients and non-postoperative-AKI patients in the preoperative medication of nephrotoxic drugs.
Table 1.
Preoperative baseline characteristics of the patients
| Characteristics | All patients (n = 383) | Non-AKI (n = 232) | AKI (n = 151) | P value |
|---|---|---|---|---|
| Age, years | 60(49,71) | 59(49,71) | 61(49,71) | 0.996 |
| Gender (male), n (%) | 247(64.5) | 149(64.2) | 98(64.9) | 0.892 |
| BMI, kg/m2 | 23.9(22.1,25.5) | 23.8(22.1,25.4) | 24.1(22.0,25.6) | 0.173 |
| Preexisting clinical conditions, n (%) | ||||
| Hypertension | 161(42.0) | 86(37.1) | 75(49.7) | 0.015 |
| Diabetes mellitus | 37(9.7) | 17(7.3) | 20(13.2) | 0.055 |
| Cerebrovascular disease | 157(41.0) | 103(44.4) | 54(35.8) | 0.093 |
| CAD | 35(9.1) | 18(7.8) | 17(11.3) | 0.245 |
| ASA classification, n (%) | 0.002 | |||
| I | 31(8.1) | 19(8.2) | 12(7.9) | |
| II | 139(36.3) | 102(44.0) | 38(24.5) | |
| III | 154(40.2) | 86(37.1) | 68(45.0) | |
| IV | 49(12.8) | 23(9.9) | 26(17.2) | |
| V | 5(1.3) | 1(0.4) | 4(2.6) | |
| Classification of NYHA heart function | 0.015 | |||
| I | 175(45.7) | 115(49.6) | 60(39.7) | |
| II | 181(47.3) | 107(46.1) | 74(49.0) | |
| III | 27(7.0) | 10(4.3) | 17(11.3) | |
| Preoperative hemoglobin, g/L | 123.0(99.3138.5) | 123.8(105.2139.6) | 121.0(92.0,135.5) | 0.063 |
| Baseline serum creatinine, mg/dl | 0.78(0.62,1.01) | 0.79(0.64,0.99) | 0.72(0.59,1.07) | 0.373 |
| Baseline eGFR, ml/min/1.73 m2 | 94.75(72.79,107.95) | 94.0(75.4106.8) | 95.3(68.2110.3) | 0.852 |
| Preoperative medication, n (%) | ||||
| Nephrotoxic drugs | 37(9.7) | 17(7.3) | 20(13.2) | 0.055 |
| Radiographic contrast | 100(26.1) | 63(27.2) | 37(24.5) | 0.564 |
| Surgery group, n (%) | ||||
| Neurosurgical surgery | 187(48.8) | 124(53.4) | 63(41.7) | 0.025 |
| Noncardiovascular chest surgery | 6(1.6) | 4(1.7) | 2(1.3) | 1.000 |
| Abdominal surgery | 161(42.0) | 82(35.3) | 79(52.3) | 0.001 |
| Others | 29(7.6) | 22(9.5) | 7(4.6) | 0.080 |
| Incision type | 0.614 | |||
| I | 258(67.4) | 160(69.0) | 98(64.9) | |
| II | 104(27.2) | 61(26.3) | 43(28.5) | |
| III | 21(5.5) | 11(4.7) | 10(6.6) | |
The continuous variables were expressed as mean ± SD or median (25th percentile–75th percentile, IQR). Categorical variables were expressed as a number (%). Nephrotoxic drugs include any of the following medications administered within 5 days before the operation: nonsteroidal anti-inflammatory drug, angiotensin-converting enzyme inhibitor, angiotensin receptor blocker, immunosuppressant, aminoglycoside, vancomycin, acyclovir, amphotericin
Abbreviations: AKI Acute Kidney Injury, ASA classification American Society of Anesthesiologists Classification, BMI Body Mass Index, CAD Coronary Artery Disease, eGFR Estimated Glomerular Filtration Rate, IQR Interquartile Range, NYHA New York Heart Association, SD Standard Deviation
Intraoperative characteristics of the patients
Table 2 demonstrated the intraoperative parameters of patients in this cohort. During the operation, patients who developed postoperative AKI were accompanied by a longer duration of surgery, more estimated blood loss, and lower minimum MAP. Meanwhile, postoperative AKI patients had a higher rate of radiographic contrast. Additionally, the patients who accepted total artificial colloid or blood transfusion (RBCs, plasma, platelets) during the operation were more likely to develop postoperative AKI. However, the general anesthesia, intraoperative U.O., and total crystalloid of intraoperative fluids were inconspicuous for postoperative AKI.
Table 2.
Intraoperative characteristics of the patients
| Variables | All patients (n = 383) | Non-AKI (n = 232) | AKI (n = 151) | P value |
|---|---|---|---|---|
| General anesthesia, n (%) | 370 (96.6) | 224 (96.6) | 146 (96.7) | 0.942 |
| Duration of surgery, minute | 196 (141,270) | 189 (131,256) | 200 (151,295) | 0.015 |
| Estimated blood loss,ml | 50.0 (5.0,250.0) | 50.0 (5.0,200.0) | 100.0 (10.0,400.0) | 0.003 |
| Minimum MAP, mm Hg | 75.0 (67.0,80.0) | 77.0 (68.5,81.0) | 73.0 (63.0,80.0) | 0.003 |
| Radiographic contrast, n (%) | 92 (24.0) | 64 (27.6) | 28 (18.5) | 0.043 |
| Intraoperative UO, ml/kg/h | 1.15 (0.41,2.64) | 1.28 (0.23,2.82) | 0.98 (0.47,2.18) | 0.235 |
| Intraoperative fluids | ||||
| Total crystalloid, per 1000 ml | 0.5 (0.5,1.0) | 0.5 (0.5,1.0) | 0.5 (0.5,1.5) | 0.285 |
| Total artificial colloid, per 1000 ml | 1.0 (0.5,1.0) | 1.0 (0.5,1.0) | 1.0 (0.5,1.5) | 0.020 |
| RBCs, n (%) | 121 (31.6) | 55 (23.7) | 66 (43.7) | < 0.0001 |
| Plasma, n (%) | 102 (26.6) | 45 (19.4) | 57 (37.7) | < 0.0001 |
| Platelets, n (%) | 13 (3.4) | 4 (1.7) | 9 (6.0) | 0.025 |
Continuous variables were presented as mean ± SD or median (25th percentile–75th percentile, IQR). Categorical variables were expressed as a number (%)
Abbreviations: AKI Acute Kidney Injury, MAP Mean Arterial Pressure, IQR Interquartile Range, RBC Red Bood Cell, SD Standard Deviation, UO Urine Output
Postoperative characteristics of the patients
Revealing by Table 3, patients with more potential to develop postoperative AKI had the following features: the higher APACHE II score reflected the severity of the disease and the patient’s overall situation, the higher concentration of the postoperative sCr and postoperative LAC concentration. In addition, patients who went through postoperative AKI had a greater likelihood of developing oliguria and need for undergoing reoperation after the first emergency surgery.
Table 3.
Postoperative characteristics of the patients
| Variables | All patients (n = 383) | Non-AKI (n = 232) | AKI (n = 151) | P value |
|---|---|---|---|---|
| APACHE II score | 18(13,22) | 16(12,21) | 20(16,25) | < 0.0001 |
| Serum Cr, mg/dl | 0.96(0.74,1.37) | 0.85(0.69,1.09) | 1.28(0.89,1.86) | < 0.0001 |
| Hemoglobin, g/L | 110.0(95.0,121.6) | 112.7(97.0,122.7) | 107.0(89.0,121.0) | 0.086 |
| Lactic acid,mmol/L | 1.5(0.9,2.4) | 1.2(0.8,2.1) | 1.8(1.1,3.3) | < 0.0001 |
| UP, ml/kg/h | 1.79(1.17,2.41) | 1.85(1.24,2.45) | 1.58(1.04,2.38) | 0.033 |
| Postoperative reoperation, n (%) | 97(25.3) | 52(22.4) | 45(29.8) | 0.048 |
Continuous variables were expressed as mean ± SD or median (25th percentile–75th percentile, IQR). Categorical variables were expressed as a number (%). Postoperative reoperation, need for the second emergency operation within 7 days after the first emergency procedure
Abbreviations: AKI Acute Kidney Injury, APACHE II Acute Physiology and Chronic Health Evaluation II, Cr Creatinine, IQR Interquartile Range, UP Urine Output Within The First 24 Hours After Operation, SD Standard Deviation
Univariable and multivariable analysis of risk factors that are associated with postoperative AKI
Univariate analysis showed that hypertension, ASA classification, classification of NYHA heart function, preoperative hemoglobin, neurosurgical surgery, abdominal surgery, duration of surgery, estimated blood loss, minimum MAP, radiographic contrast, intraoperative U.O., total infused artificial colloid, RBCs or plasma, postoperative APACHE II score, postoperative sCr, postoperative hemoglobin, postoperative U.O., postoperative lactic acid, and postoperative reoperation were risk factors that are associated with postoperative AKI (Table S1). Since postoperative sCr and U.O. are a manifestation and a diagnostic criterion for AKI, postoperative sCr and U.O. were not included in the multivariate study to analyze whether it was a risk factor for AKI. As for postoperative AKI, postoperative reoperation, postoperative APACHE II score, and postoperative LAC concentration were the independent risk factors after multivariable adjustment, which was shown in Table 4. Postoperative reoperation was an independent risk factor of postoperative AKI with the adjusted OR (ORadj) of 1.854 (95% CI, 1.091–3.152). At the same time, we discovered that higher postoperative APACHE II score and postoperative LAC could be used to predict postoperative AKI incidence with [ORadj 1.059 (95% CI, 1.018–1.102)] and [ORadj 1.239 (95% CI, 1.047–1.467)], respectively.
Table 4.
Multivariable logistic regression analysis of factors that are related to postoperative AKI in emergency operation for critically ill patients
| Variable | ORunadj | ORadj | 95% CI | P value |
|---|---|---|---|---|
| Postoperative reoperation | 1.595 | 1.854 | 1.091–3.152 | 0.022 |
| Postoperative APACHE II score | 1.098 | 1.059 | 1.018–1.102 | 0.005 |
| Postoperative lactic acid,mmol/L | 1.392 | 1.239 | 1.047–1.467 | 0.013 |
Independent variables including ASA classification, classification of NYHA heart function, preoperative hemoglobin, neurosurgical surgery, abdominal surgery, duration of surgery, estimated blood loss, minimum MAP, radiographic contrast, intraoperative UO, total artificial colloid, RBCs, plasma, postoperative APACHE II score, postoperative hemoglobin, postoperative lactic acid, and postoperative reoperation were involved in the stepwise analysis. Postoperative reoperation, need for the second emergency operation within 7 days after the first emergency procedure
Abbreviations: AKI Acute Kidney Injury, ASA classification American Society of Anesthesiologists Classification, NYHA New York Heart Association, MAP Mean Arterial Pressure, UO Urine Output; RBC, Red Bood Cell, APACHE II Acute Physiology and Chronic Health Evaluation, CI Confidence Interval, ORadj Odds Ratio Adjusted, ORunadj Odds Ratio Without Adjusted
Clinical outcomes of postoperative patients
Elucidated in Table 5, the occurrence of postoperative AKI would lead to higher rates of postoperative RRT, ICU mortality, and in-hospital mortality. Moreover, patients with postoperative AKI were more likely to go through the long duration of postoperative mechanical ventilation, prolonging ICU and hospital length of stay, higher total ICU costs, and higher hospital ICU costs. But there was no marked difference between postoperative AKI and reintubation.
Table 5.
Clinical outcomes of postoperative patients
| Outcomes | All patients (n = 383) | Non-AKI (n = 232) | AKI (n = 151) | P value |
|---|---|---|---|---|
| Duration of mechanical Ventilation, hours | 12(4,68) | 9(2,22) | 36(10,145) | < 0.001 |
| Reintubation, n (%) | 44(11.5) | 21(9.1) | 23(15.2) | 0.064 |
| RRT, n (%) | 21(5.5) | 3(1.3)a | 18(11.9) | < 0.001 |
| ICU mortality, n (%) | 72(18.8) | 31(13.4) | 41(27.2) | 0.001 |
| Hospital mortality, n (%) | 77(20.1) | 33(14.2) | 44(29.1) | < 0.001 |
| ICU length of stay, days | 4(2,9) | 2(1,6) | 8(4,15) | < 0.001 |
| Hospital length of stay, days | 14(9,25) | 12(8,19) | 21(12,34) | < 0.001 |
| Total ICU cost, CNY | 34,038(14,132,77,231) | 20,081(11,415,40,776) | 60,909(34,338,126,413) | < 0.001 |
| Total Hospital cost, CNY | 98,793(59,651,173,582) | 80,639(50,722,126,803) | 151,384(87,973,223,422) | < 0.001 |
aThere are 3 patients who had AKI 7 days after surgery need to receive renal replacement therapy (RRT). Continuous variables were expressed as mean ± SD or median (25th percentile–75th percentile, IQR); Categorical variables were expressed as a number (%)
Abbreviations: AKI Acute Kidney Injury, CNY Chinese Yuan, ICU Intensive Care Unit, IQR Interquartile Range, RRT Renal Replacement Therapy, SD Standard Deviation
Discussion
In this prospective study, we found that the morbidity of postoperative AKI was as high as 39.40% in critically ill patients undergoing emergency surgery, and the occurrence of postoperative AKI would further lead to adverse hospitalization results. Compared with previous studies, there was distinction for the morbidity of postoperative AKI, while the high risk of negative hospitalization results was consistent [27, 28]. Considering the heterogeneousness of the population in critically ill patients undergoing emergency surgery and the numerous kinds of operations, the incidence of postoperative AKI found in our research was higher than in previous studies. Furthermore, our study found that 93.40% of the patients come through postoperative AKI within 3 days after emergency operations, so physicians must take early surveillance and early intervention for those at high risk of postoperative AKI. Therefore, with a large sample size, high population heterogeneity, and a wide range of surgeries, our research results have strong applicability and popularization in clinical practice.
The independent risk factors of postoperative AKI incidence included postoperative reoperation, postoperative APACHE II score, and postoperative LAC. Unlike previous Meta-analyses, our study found that BMI, postoperative mechanical ventilation duration, and other factors were not risk factors for AKI [29]. The risk factors for postoperative AKI varied in different clinical situations, and three of the above risk factors were recognized in this emergency surgery cohort. It was previously reported that reoperation was identified as one of the independent predictors of AKI in patients undergoing cardiac surgery, abdominal surgery and neurosurgery [18, 30, 31]. Manifested by this study, postoperative reoperation was an independent risk factor for the occurrence of postoperative AKI, which was consistent with previous studies. However, in our study, 93.40% of the patients was diagnosed with AKI within 3 days after emergency operations, the possible reason for which might be the poor overall clinical conditions of patients who need secondary operation, which leads the continuous elevation of the serum creatinine. Although the mechanism of reoperation leading to postoperative AKI has not been fully elucidated, it is theoretically believed that factors such as hemodynamic damage, bleeding, and poor overall condition involved in reoperation are related to postoperative AKI. Under the action of these factors, the body is more likely to cause overexcitation of the sympathetic-adrenal medullary system, promote the increase in plasma catecholamine concentration, cause neurohumoral regulation dysfunction, and lead to the degeneration and necrosis of epithelial cells due to ischemia and hypoxia, and finally the occurrence of postoperative AKI [32].
The APACHE II scoring system was usually utilized to evaluate the severity and prognosis of widespread diseases, which could more objectively reflect and comprehensively assess the current pathophysiology of patients [33]. The higher APACHE II score indicates the more severity of the patient’s overall condition and the greater risk of death [34, 35], thus the patient is more susceptible to postoperative AKI. As expected, the postoperative APACHE II score was closely associated with AKI in this study, which was in consistent with the previous study in postoperative cohort [36]. Since there are many variables involved in the APACHE II scoring system, which including the vital signs, oxygenation state, electrolyte levels, sCr, blood routine examination and the consciousness state, any change in one item may lead to a different result. Therefore, improving the postoperative physical state might help reduce the morbidity of postoperative AKI. However, the inclusion of creatinine into the APACHE II score might have a significant influence on the association between APACHE II with AKI.
It was previously reported that lactic acid was related to AKI occurrence in military casualties, trauma patients, and patients undergoing liver transplantation [37–39]. Nevertheless, the similar conclusion was not shown in the meta-analysis of observational studies conducted by Cartin-Ceba R.et al. [40]. In our study, the LAC level in the postoperative AKI group was significantly increased. The elevation of postoperative serum LAC concentration is associated with perioperative hypoxia and hypoperfusion, which causes an increase in catecholamine, resulting in accelerated glycolysis, the release of systemic inflammatory mediators, and decreased liver and kidney clearance [41]. Therefore, the elevated LAC level would be a predictor of postoperative AKI occurrence.
More and more studies had shown that even relatively mild renal injury drugs were related to increased risk of AKI morbidity and mortality [13]. In this study, we also analyzed commonly prescribed medications that predispose to renal impairment, including NSAID, ACEI, ARB, immunosuppressants, aminoglycosides, vancomycin, acyclovir, and amphotericin. Even though nephrotoxic drugs were well known for their kidney damage, their use had little to do with the occurrence of AKI in this study. We could not obtain statistically significant conclusions due to the small number of patients utilizing these drugs in our cohort. Simultaneously, physicians in ICU paid more attention to carefully evaluate drugs in their potential injury to renal function and structure to avoid damage in the kidney, which was consistent with the KDIGO standard.
As shown in a national study conducted by Y Sanaiha et al., the increasing incidence of acute kidney injury and renal replacement therapy after an emergency general surgery would lead to greater odds of mortality and greater costs of hospitalization and duration of stay [28]. Therefore, this study aimed to discuss the risk factors and morbidity of postoperative AKI in critically ill patients undergoing emergency surgery to prevent the occurrence of complications, which had crucial clinical significance. Despite the lack of effective treatment options, assessing the risk factors and morbidity of postoperative AKI might help formulate new strategies to prevent postoperative AKI, and provide guidance for the clinical physicians to communicate with patients and their families. It was worth noting that all the above-identified risk factors and morbidity in our study were verifiable. However, before applying our study findings to clinical practice, further intervention studies must be conducted to confirm the effectiveness of these risk factors.
This study is the first prospective observational study of postoperative AKI in critically ill patients undergoing emergency surgery to provide the basis for defining the epidemiological status and improving clinical prevention strategies for AKI in critically ill patients undergoing emergency surgery. However, our study still had some limitations and shortcomings. First, this was a single-center prospective study. Therefore, the influence of some confounding factors could not be completely ruled out, which might further lead to a particular deviation in the judgment of incidence, influencing factors, and prognosis. In addition, it needed to be verified by a large sample, multicenter prospective study to reduce bias. Secondly, the data of this study were collected from the general ICU and did not fully represent all postoperative ICU patients, especially those who were undergoing cardiovascular surgery. Moreover, this study lacked long-term follow-up after discharge and failed to count the kidney’s long-term prognosis.
Conclusion
The morbidity of postoperative AKI in critically ill patients undergoing emergency surgery according to the KDIGO standard was 39.4, and 93.4% of postoperative AKI occurred within 3 days after emergency operations. Postoperative reoperation, postoperative APACHE II score, and postoperative LAC were independent risk factors of the incidence of postoperative AKI in critically ill patients undergoing emergency surgery. In addition, there was a close relationship between postoperative AKI and adverse hospital prognoses. Therefore, this study had crucial clinical significance for critically ill patients undergoing emergency surgery who were at risk of postoperative AKI.
Supplementary Information
Additional file 1: Table S1. Univariable logistic regression analysis of factors that are related to postoperative AKI in emergency operation for critically ill patients.
Acknowledgments
The authors are grateful to all doctors, nurses, and technicians to collect and test the samples. They also thank the patients for their dedication to the study.
This article is stored on the preprinted website for peer communication (DOI: 10.21203/rs.3.rs-87556/v1).
Ethical statement
The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Authors’ contributions
CC, LH, LG, DZ, and YH contributed to the conception and design of the research as well as the interpretation of the data and critically revised the manuscript. LH, HZ, YL, and JX collected data. LH and LG analyzed the data. All authors contributed to the acquisition and analysis of the data, drafted the manuscript, and agreed to be fully accountable for ensuring the integrity and accuracy of the work. All authors read and approved the final manuscript.
Funding
Author Chunbo Chen is currently receiving a grant (#number of MaoRenCaiBan[2020]24) from the Office of Talent Work Leading Group in Maoming, a grant (#201803010058) from the Guangzhou Science and Technology Program, a grant (#82172162) from the National Natural Science Foundation of China, and a grant (#DFJH2020028) under the Major Program of Summit Project, Guangdong Province High-level Hospital Construction Project of Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences. In addition, author Linhui Hu is currently receiving a grant (#2020YJ01) from the Emergent Science and Technology Project for Prevention and Treatment of Novel Coronavirus Pneumonia and a grant (#zx2020017) from the High-level Hospital Construction Research Project of Maoming People’s Hospital. The study was supported by the High-level Hospital Construction Research Project of Maoming People’s Hospital.
Availability of data and materials
All data generated or analyzed during this study are included in this published article. Additional information about the data is available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
This research was authorized by the Ethics Committee and executed complying with the Declaration of Helsinki. The Ethics committee of the Guangdong Provincial People’s Hospital supervised the study (No. GDREC2015396H(R1)), including the study design, protocol, ethical issue, and data and sample collection. Additionally, written informed consent was obtained from each patient or the appropriate guardian.
Consent for publication
Not applicable. No individual personal data were included in the study. All patients provided the necessary consent to participate in the present study.
Competing interests
The authors declare that they have no competing interests. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Linhui Hu, Lu Gao and Danqing Zhang contributed equally to this study, co-first author.
Contributor Information
Linhui Hu, Email: hulinhui@live.cn.
Lu Gao, Email: lugao2389@163.com.
Danqing Zhang, Email: dqzhang1992@163.com.
Yating Hou, Email: stuythou@163.com.
Lin Ling He, Email: 15233656933@163.com.
Huidan Zhang, Email: huidanmei@sina.com.
Yufan Liang, Email: yufan1524@163.com.
Jing Xu, Email: xjxiaodaifu@163.com.
Chunbo Chen, Email: gghccm@163.com.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional file 1: Table S1. Univariable logistic regression analysis of factors that are related to postoperative AKI in emergency operation for critically ill patients.
Data Availability Statement
All data generated or analyzed during this study are included in this published article. Additional information about the data is available from the corresponding author on reasonable request.