Introduction: Extracorporeal membrane oxygenation (ECMO) is widely used; however, studies on the long-term outcomes of ECMO are scarce. We investigated the long-term clinical outcomes of acute kidney disease (AKD) in patients receiving ECMO. Methods: Electronic data (2009–2018) were retrospectively collected from a multicenter database. Patients were divided into two groups (AKD and non-AKD) according to their AKD status 8–90 days after the initiation of ECMO. Inverse probability of treatment weighting was used to balance baseline covariates between the two groups. The primary outcomes were major adverse kidney events (MAKEs) and major adverse cardiovascular events (MACEs), and the secondary outcomes were all-cause readmission, sepsis-related readmission, infection-related readmission, and dementia. Results: Totally, 395 patients were eligible for analysis; of them, 160 patients (40.5%) developed AKD. The AKD group had a higher risk of MAKEs (hazard ratio [HR]: 2.06; 95% confidence interval [CI]: 1.68–2.53) than did the non-AKD group. Subgroup analysis revealed that the observed unfavorable effect of AKD on the risk of MAKEs was more pronounced in patients receiving venovenous ECMO than in those receiving venoarterial ECMO (HR: 5.69 vs. 1.85, respectively; p for interaction = 0.004). AKD group had a higher risk of MACE during the initial 3-year post-ECMO in comparison to those without (HR: 1.68; 95% CI: 1.22–2.30). Moreover, the risks of all-cause, sepsis-related, and infection-related readmissions were high in AKD survivors. Conclusions: AKD is associated with an increased risk of long-term MAKEs and initial 3-year MACE in ECMO recipients. In addition, AKD is associated with increased risks of all-cause, infection-related, and sepsis-related readmissions.

Chan and colleagues conducted a study to examine what happens to people in the long term after they’ve received a medical treatment known as extracorporeal membrane oxygenation (ECMO). ECMO is a medical device used when a person’s heart or lungs are severely not working properly. However, there is limited information about what happens to ECMO survivors in the long run. The researchers collected data from multiple hospitals spanning the years 2009–2018. They divided the patients into two groups: those who experienced acute kidney disease (AKD) during the 8–90 days following ECMO and those who did not. AKD is a condition where the kidneys have problems functioning. The researchers wanted to understand how AKD might affect people’s long-term health. Out of 395 patients, 40.5% developed AKD. Those with AKD faced a greater risk of experiencing major kidney problems, and being readmitted to the hospital for various reasons, such as infections or sepsis, compared to those without AKD. Those with AKD also had a higher risk of developing major heart problems in the initial 3 years after AKD. In simpler terms, this study found that if you develop AKD after receiving ECMO, you are more likely to encounter kidney-related issues in the long term. This information is crucial for both doctors and patients as it provides insights into what to expect after ECMO treatment.

The use of extracorporeal membrane oxygenation (ECMO) has been growing worldwide [1], providing life support to critically ill patients with survival rates ranging from 29% to 58% [2]. As more patients survive the acute phase of ECMO, understanding its long-term outcomes is crucial. However, few studies have explored this area. ECMO recipients have higher risks of all-cause mortality, increased readmissions, reduced quality of life, and higher medical costs compared to non-recipients [3‒6]. Furthermore, ECMO survivors experience poor general health, impaired social functioning, and reduced physical capacity [3]. These long-term issues extend beyond the acute phase and impact not only patients but also their families. Optimizing care for ECMO survivors is essential.

ECMO recipients commonly develop various kidney dysfunctions, such as acute kidney injury (AKI), acute kidney disease (AKD), chronic kidney disease (CKD), and end-stage kidney disease (ESKD), all of which indicate worse outcomes for these individuals [3, 7‒10]. AKD serves as the transitional state (8–90 days after the initial kidney insult) between AKI and CKD [11]. Currently, few studies have focused on the outcome of AKD in the context of ECMO recipients. A recent retrospective study conducted by Hsu and colleagues, involving 168 ECMO patients, identified AKD as an independent predictor of ECMO recipients’ survival [10]. However, it is currently unclear whether AKD increases the risk of other vital organ dysfunctions, such as recurrent kidney injuries, major cardiovascular adverse events, and dementia, similar to the effects observed with AKI or CKD. Studies have shown that AKI and CKD can have detrimental consequences on future vital organ health, leading to a higher risk of ESKD, cardiovascular and dementia, and readmission [12‒18]. These are all serious conditions that require thorough investigation in ECMO patients. However, there is a lack of information available regarding the long-term complications specifically related to ECMO survivors. Notably, literature concerning cognitive function in ECMO survivors remains scarce [19].

Therefore, this study was conducted to investigate the outcomes of AKD in patients receiving ECMO. We hypothesized that AKD would increase the risks of long-term major adverse kidney events (MAKEs), major adverse cardiovascular events (MACEs), dementia, and readmission in ECMO survivors.

Data Source

We retrospectively collected electronic data from the Chang Gung Research Database (CGRD). The CGRD is the electronic medical records database of the Chang Gung Medical Foundation and contains detailed clinical information, laboratory data, and hemodynamic profiles of patients. This foundation is the largest medical facility in Taiwan, comprising seven hospitals with a total of 9,000 beds. The database covers overall and disease-specific information of patients in Taiwan and can be used for medical studies [20, 21]. To assess disease diagnosis in the present study, we used the diagnostic codes outlined by the International Classification of Diseases, Ninth Revision, Clinical Modification for records before 2015, and those outlined by the International Classification of Diseases, Tenth Revision, Clinical Modification for records after 2016. The diagnostic codes used in this study are listed in online supplementary Table 1 (for all online suppl. material, see https://doi.org/10.1159/000539151). The data structure of the CGRD has been validated in several studies [21, 22]. This study was approved by the Institutional Review Board of Chang Gung Memorial Hospital (approval number: 202100124B0; Jan 03, 2021). The requirement for informed consent was waived because the CGRD does not store specific personal identification data.

Study Population

The unique reimbursement (Taiwan National Health Insurance) code for ECMO (first time for extracorporeal circulation: 68036B) has been used in CGRD since September 1, 2009. Therefore, we identified patients who received ECMO between September 1, 2009, and December 31, 2018. Patients were excluded if they had unknown demographic data (age or sex), were aged <20 years, had been receiving dialysis before ECMO insertion (either between admission and ECMO insertion or before admission), and had been previously diagnosed as having dementia. Patients who survived <90 days or were followed up for <90 days were also excluded. Moreover, patients without sufficient data on serum creatinine level, which is required to determine the status of AKI and AKD, were excluded (Fig. 1).

Fig. 1.

Flowchart for patient selection. AKD, acute kidney disease; AKI, acute kidney injury; ECMO, extracorporeal membrane oxygenation; SCr, serum creatinine.

Fig. 1.

Flowchart for patient selection. AKD, acute kidney disease; AKI, acute kidney injury; ECMO, extracorporeal membrane oxygenation; SCr, serum creatinine.

Close modal

AKI and AKD

In this study, the initiation of ECMO was designated as day 0. To define AKI, we utilized the Kidney Disease: Improving Global Outcomes AKI criteria. We compared patients’ baseline creatinine levels with their highest creatinine levels during the first 7 days after ECMO initiation during index admission [23]. The baseline creatinine level was determined by using the lowest creatinine level in the 3 months preceding the index admission. Alternatively, if such data were unavailable, we alternatively used the creatinine data first recorded on the first day of the index admission.

For defining AKD, we employed criteria based on the Kidney Disease Improving Global Guidelines [11, 24]. AKD was defined as >50% increase in serum creatinine, or a decrease of at least 35% in estimated glomerular filtration rate (eGFR) from baseline, or a newly developed eGFR <60 mL/min/1.73 m2 between 8 and 90 days after ECMO initiation. It is important to note that in case of subacute damage to the kidney, AKI may not be observed during AKD diagnosis [11]. When multiple creatinine values were available within 8–90 period, the presence of AKD was determined using the creatinine level recorded on the day closest to day 90 after ECMO initiation.

Covariates

We collected data on the clinical characteristics, AKI susceptibility, and renal nonrecovery factors for ECMO or critical illness population according to previous studies or availability in our data set [3, 4, 7, 9, 15, 25‒28]. The clinical characteristics included demographics, eGFR, vital signs at ECMO insertion, ECMO modes, comorbidities, and first recorded laboratory results at baseline and before ECMO initiation. We further assessed the overall health status of patients at baseline by using the Charlson Comorbidity Index [29]. Finally, we assessed sequential organ failure assessment score on the day following ECMO insertion to evaluate the risk of short-term mortality.

Outcomes

We evaluated in-hospital and long-term (after 90 days) outcomes after ECMO insertion. The primary outcomes were MAKEs and MACEs during follow-up. MAKEs comprised newly diagnosed ESKD requiring chronic dialysis, new-onset CKD (defined as an eGFR of <60 mL/min per 1.73 m2 according to the Modification of Diet in Renal Disease equation), and all-cause mortality. MACEs were defined as the composite outcomes of cardiovascular death, acute myocardial infarction, ischemic stroke, and heart failure-related hospitalization. Cardiovascular death was defined according to the Standardized Definitions for Cardiovascular and Stroke Endpoint Events in Clinical Trials by the US Food and Drug Administration. The incidences of acute myocardial infarction and ischemic stroke were recorded in the inpatient setting. The secondary long-term outcomes were all-cause readmission, sepsis-related readmission, infection-related readmission, and new-onset dementia. To analyze each long-term outcome, patients were followed from day 91 after ECMO insertion to the occurrence of the outcome, death, or last hospital visit (database end date: December 31, 2018), whichever came first.

Statistical Analysis

To balance the baseline covariates between the AKD and non-AKD groups, we used inverse probability of treatment weighting (IPTW) with average treatment effects based on propensity scores. Propensity scores were estimated using a multivariable logistic regression model, which included all covariates (Table 1) and the index date (date of ECMO insertion). The balance of covariates between the groups was confirmed using standardized difference (STD); absolute STD values of <0.1 and <0.2 indicated negligible and nonsubstantial between group, respectively. The in-hospital outcomes were compared between the groups using the Mann-Whitney U test for continuous variables and the χ2 test for categorical variables. The risk of long-term outcomes was compared between the groups using the Cox proportional hazards model. Furthermore, subgroup analysis was performed including MAKE and MACE data stratified by several variables. Some missing values were noted in the laboratory data; therefore, the data were imputed using a single expectation-maximization algorithm before IPTW adjustment. Since we excluded a significant number of patients who did not survive for 90 days and those with missing creatinine data, we also conducted a sensitivity analysis to assess the potential impact of these exclusions on the outcomes of our analyses. All analyses were performed using SAS (version 9.4; SAS Institute Inc., Cary, NC, USA). A two-sided p value of <0.05 was considered statistically significant.

Table 1.

Demographic and clinical characteristics of patients with or without AKD during 8–90 days after ECMO insertion

VariableAvailable numbersTotal (n = 395)Before IPTW and EM imputationaAfter IPTW and EM imputationb
AKD (n = 160)non-AKD (n = 235)STDAKDnon-AKDSTD
Age, years 395 55.7±14.0 58.2±13.6 54.0±14.0 0.30 55.8±14.4 55.8±13.8 <0.01 
Age group 395        
 20–65 years  291 (73.7) 108 (67.5) 183 (77.9) −0.23 72.9% 73.9% −0.02 
 >65 years  104 (26.3) 52 (32.5) 52 (22.1) 0.23 27.1% 26.1% 0.02 
Male 395 280 (70.9) 112 (70.0) 168 (71.5) −0.03 67.3% 69.3% −0.04 
Baseline eGFR, mL/min/1.73 m2 395 62.5±31.8 59.6±33.0 64.4±30.9 −0.15 63.1±30.7 63.0±31.7 <0.01 
BMI, kg/m2 391 26.6±12.8 25.6±3.8 27.3±16.2 −0.14 25.9±3.6 26.6±13.0 −0.07 
Vital sign at ECMO 
 SBP, mm Hg 394 120.0±27.1 120.9±28.6 119.4±26.0 0.06 121.7±29.0 120.6±27.0 0.04 
 DBP, mm Hg 394 70.2±19.3 69.3±21.7 70.8±17.5 −0.08 71.3±23.0 70.4±17.4 0.04 
 Heart rate, beats/min 395 92.8±20.9 93.3±21.5 92.4±20.6 0.04 92.0±21.1 93.4±21.0 −0.07 
ECMO mode 395        
 V-A  320 (81.0) 129 (80.6) 191 (81.3) −0.02 80.2% 80.6% −0.01 
 V-V  75 (19.0) 31 (19.4) 44 (18.7) 0.02 19.8% 19.4% 0.01 
Comorbidity 
 Hypertension 395 167 (42.3) 66 (41.3) 101 (43.0) −0.04 40.7% 41.3% −0.01 
 Diabetes mellitus 395 100 (25.3) 46 (28.8) 54 (23.0) 0.13 23.1% 24.6% −0.04 
 Dyslipidemia 395 174 (44.1) 80 (50.0) 94 (40.0) 0.20 38.1% 41.9% −0.08 
 Heart failure 395 46 (11.6) 21 (13.1) 25 (10.6) 0.08 12.5% 10.1% 0.07 
 Coronary artery disease 395 166 (42.0) 65 (40.6) 101 (43.0) −0.05 37.8% 42.1% −0.09 
 Myocardial infarction 395 47 (11.9) 18 (11.3) 29 (12.3) −0.03 11.3% 11.9% −0.02 
 CKD 395 78 (19.7) 44 (27.5) 34 (14.5) 0.32 19.0% 18.8% 0.01 
 COPD 395 28 (7.1) 13 (8.1) 15 (6.4) 0.07 6.5% 7.0% −0.02 
 Liver cirrhosis 395 14 (3.5) 6 (3.8) 8 (3.4) 0.02 5.4% 3.2% 0.11 
 Peripheral arterial disease 395 38 (9.6) 16 (10.0) 22 (9.4) 0.02 10.8% 12.0% −0.04 
Risk score 
 CCI at baseline 395 2.2±2.3 2.5±2.7 2.0±2.0 0.22 2.1±2.4 2.2±2.3 −0.03 
 SOFA at the 2nd day after ECMO 277 11.7±2.4 12.0±2.4 11.6±2.4 0.16 11.6±2.3 11.4±2.4 0.07 
Hospital level 395        
 Medical center  343 (86.8) 141 (88.1) 202 (86.0) 0.06 86.3% 86.5% −0.01 
 District/regional hospital  52 (13.2) 19 (11.9) 33 (14.0) −0.06 13.7% 13.5% 0.01 
Laboratory data at pre-ECMO 
 BUN, mg/dL 216 26.3±20.0 30.6±23.7 22.9±15.9 0.38 24.9±18.9 25.0±17.1 <0.01 
 Creatinine, mg/dL 243 1.3±0.9 1.5±1.1 1.2±0.8 0.33 1.29±0.88 1.32±0.93 −0.03 
 Sodium, mg/dL 241 138.4±5.5 138.7±6.2 138.1±4.9 0.10 138.3±5.3 138.0±4.8 0.06 
 Potassium, mg/dL 385 3.86±0.71 3.95±0.73 3.80±0.69 0.21 3.8±0.7 3.9±0.7 −0.04 
 Calcium, mg/dL 314 7.8±1.0 7.8±1.1 7.7±0.9 0.10 7.9±1.1 7.8±0.9 0.06 
Laboratory data at baseline 
 LDL, mg/dL 250 70.5±46.6 73.6±52.0 68.2±42.2 0.11 71.6±44.9 67.5±42.0 0.09 
 HDL, mg/dL 248 35.2±12.6 34.8±13.1 35.5±12.3 −0.05 34.9±13.1 35.1±12.0 −0.01 
 Triglyceride, mg/dL 277 113 [79, 166] 111 [71, 164] 116 [82, 173] 0.02 106 [66, 163] 123 [84, 177] −0.01 
 Total cholesterol, mg/dL 270 156.5±48.1 157.0±49.2 156.1±47.5 0.02 153.6±46.2 156.4±45.4 −0.06 
 HbA1C, % 224 6.8±1.6 6.9±1.6 6.8±1.6 0.05 6.8±1.6 6.9±1.6 −0.07 
 Uric acid, mg/dL 200 7.0±2.9 7.1±2.9 6.9±2.8 0.07 6.7±2.8 7.1±2.9 −0.15 
Follow-up month 395 29 [12, 66] 19 [7, 51] 38 [16, 70] −0.40 20 [8, 56] 34 [15, 68] −0.25 
VariableAvailable numbersTotal (n = 395)Before IPTW and EM imputationaAfter IPTW and EM imputationb
AKD (n = 160)non-AKD (n = 235)STDAKDnon-AKDSTD
Age, years 395 55.7±14.0 58.2±13.6 54.0±14.0 0.30 55.8±14.4 55.8±13.8 <0.01 
Age group 395        
 20–65 years  291 (73.7) 108 (67.5) 183 (77.9) −0.23 72.9% 73.9% −0.02 
 >65 years  104 (26.3) 52 (32.5) 52 (22.1) 0.23 27.1% 26.1% 0.02 
Male 395 280 (70.9) 112 (70.0) 168 (71.5) −0.03 67.3% 69.3% −0.04 
Baseline eGFR, mL/min/1.73 m2 395 62.5±31.8 59.6±33.0 64.4±30.9 −0.15 63.1±30.7 63.0±31.7 <0.01 
BMI, kg/m2 391 26.6±12.8 25.6±3.8 27.3±16.2 −0.14 25.9±3.6 26.6±13.0 −0.07 
Vital sign at ECMO 
 SBP, mm Hg 394 120.0±27.1 120.9±28.6 119.4±26.0 0.06 121.7±29.0 120.6±27.0 0.04 
 DBP, mm Hg 394 70.2±19.3 69.3±21.7 70.8±17.5 −0.08 71.3±23.0 70.4±17.4 0.04 
 Heart rate, beats/min 395 92.8±20.9 93.3±21.5 92.4±20.6 0.04 92.0±21.1 93.4±21.0 −0.07 
ECMO mode 395        
 V-A  320 (81.0) 129 (80.6) 191 (81.3) −0.02 80.2% 80.6% −0.01 
 V-V  75 (19.0) 31 (19.4) 44 (18.7) 0.02 19.8% 19.4% 0.01 
Comorbidity 
 Hypertension 395 167 (42.3) 66 (41.3) 101 (43.0) −0.04 40.7% 41.3% −0.01 
 Diabetes mellitus 395 100 (25.3) 46 (28.8) 54 (23.0) 0.13 23.1% 24.6% −0.04 
 Dyslipidemia 395 174 (44.1) 80 (50.0) 94 (40.0) 0.20 38.1% 41.9% −0.08 
 Heart failure 395 46 (11.6) 21 (13.1) 25 (10.6) 0.08 12.5% 10.1% 0.07 
 Coronary artery disease 395 166 (42.0) 65 (40.6) 101 (43.0) −0.05 37.8% 42.1% −0.09 
 Myocardial infarction 395 47 (11.9) 18 (11.3) 29 (12.3) −0.03 11.3% 11.9% −0.02 
 CKD 395 78 (19.7) 44 (27.5) 34 (14.5) 0.32 19.0% 18.8% 0.01 
 COPD 395 28 (7.1) 13 (8.1) 15 (6.4) 0.07 6.5% 7.0% −0.02 
 Liver cirrhosis 395 14 (3.5) 6 (3.8) 8 (3.4) 0.02 5.4% 3.2% 0.11 
 Peripheral arterial disease 395 38 (9.6) 16 (10.0) 22 (9.4) 0.02 10.8% 12.0% −0.04 
Risk score 
 CCI at baseline 395 2.2±2.3 2.5±2.7 2.0±2.0 0.22 2.1±2.4 2.2±2.3 −0.03 
 SOFA at the 2nd day after ECMO 277 11.7±2.4 12.0±2.4 11.6±2.4 0.16 11.6±2.3 11.4±2.4 0.07 
Hospital level 395        
 Medical center  343 (86.8) 141 (88.1) 202 (86.0) 0.06 86.3% 86.5% −0.01 
 District/regional hospital  52 (13.2) 19 (11.9) 33 (14.0) −0.06 13.7% 13.5% 0.01 
Laboratory data at pre-ECMO 
 BUN, mg/dL 216 26.3±20.0 30.6±23.7 22.9±15.9 0.38 24.9±18.9 25.0±17.1 <0.01 
 Creatinine, mg/dL 243 1.3±0.9 1.5±1.1 1.2±0.8 0.33 1.29±0.88 1.32±0.93 −0.03 
 Sodium, mg/dL 241 138.4±5.5 138.7±6.2 138.1±4.9 0.10 138.3±5.3 138.0±4.8 0.06 
 Potassium, mg/dL 385 3.86±0.71 3.95±0.73 3.80±0.69 0.21 3.8±0.7 3.9±0.7 −0.04 
 Calcium, mg/dL 314 7.8±1.0 7.8±1.1 7.7±0.9 0.10 7.9±1.1 7.8±0.9 0.06 
Laboratory data at baseline 
 LDL, mg/dL 250 70.5±46.6 73.6±52.0 68.2±42.2 0.11 71.6±44.9 67.5±42.0 0.09 
 HDL, mg/dL 248 35.2±12.6 34.8±13.1 35.5±12.3 −0.05 34.9±13.1 35.1±12.0 −0.01 
 Triglyceride, mg/dL 277 113 [79, 166] 111 [71, 164] 116 [82, 173] 0.02 106 [66, 163] 123 [84, 177] −0.01 
 Total cholesterol, mg/dL 270 156.5±48.1 157.0±49.2 156.1±47.5 0.02 153.6±46.2 156.4±45.4 −0.06 
 HbA1C, % 224 6.8±1.6 6.9±1.6 6.8±1.6 0.05 6.8±1.6 6.9±1.6 −0.07 
 Uric acid, mg/dL 200 7.0±2.9 7.1±2.9 6.9±2.8 0.07 6.7±2.8 7.1±2.9 −0.15 
Follow-up month 395 29 [12, 66] 19 [7, 51] 38 [16, 70] −0.40 20 [8, 56] 34 [15, 68] −0.25 

AKD, acute kidney disease; BMI, body mass index; BUN, blood urea nitrogen; CCI, Charlson Comorbidity Index; COPD, chronic obstructive pulmonary disease; DBP, diastolic blood pressure; ECMO, extracorporeal membrane oxygenation; eGFR, estimated glomerular filtration rate; EM, expectation maximization; HbA1C, glycated hemoglobin; HDL, high-density lipoprotein; IPTW, inverse probability of treatment weighting; LDL, low-density lipoprotein; SBP, systolic blood pressure; SOFA, sequential organ failure assessment; STD, standardized difference; V-A, venoarterial; V-V, venovenous.

aData were presented as frequency (percentage), mean ± standard deviation, or median [25th, 75th percentiles].

bData were presented as percentage, mean ± standard deviation, or median [25th, 75th percentiles].

AKD Incidence after ECMO

During the study period, 1,501 patients received ECMO. Of them, 395 patients were eligible for analysis. Among them, 160 (40.5%) patients developed AKD during 8–90 days after ECMO initiation (Fig. 1). Of these 160 patients, 119 (74.3%) developed AKI during the first 7 days. Of the remaining 235 patients without AKD, 64 (27.2%) clinically recovered from AKI.

Baseline Characteristics

The mean age of our cohort was 55.7 years, and 71% (n = 280) of all included patients were men. Patients with AKD were older than patients without it. In addition, the AKD group had higher dyslipidemia and CKD prevalence rates, baseline Charlson Comorbidity Index scores, pre-ECMO BUN, serum creatinine, and potassium levels than the non-AKD group (Table 1). After IPTW adjustment, all baseline characteristics between the AKD and non-AKD groups were not substantially different, with all the absolute STD values <0.2. The incidence of AKI was higher in the AKD group compared to the non-AKD group (74.3 vs. 27.2%). Clinical characteristics, in-hospital outcomes, and survival outcomes based on AKI status within 7 days after ECMO initiation are presented in online supplementary Table 2.

In-Hospital Outcomes

The likelihood of poor in-hospital outcomes 8–90 days after ECMO was higher in the AKD group than in the non-AKD group. Specifically, the AKD group had shorter ECMO-to-dialysis duration, longer ECMO duration, longer ventilation duration, and longer intensive care unit and hospital stay than did the non-AKD group (Table 2).

Table 2.

In-hospital outcomes of patients with or without AKD during 8–90 days after ECMO insertion

OutcomeTotal (n = 395)Before IPTWaAfter IPTWb
AKD (n = 160)non-AKD (n = 235)p valueAKDnon-AKDp value
Days from ECMO to dialysis initiationc 5 [2, 60] 5 [2, 38209 [2, 1,291] 0.189 5 [2, 382 [2, 406] <0.001 
Duration of ECMO, days 5 [3, 87 [4, 104 [2, 6<0.001 7 [4, 94 [2, 7<0.001 
Ventilator days 11 [6, 2721 [10, 56] 9 [5, 15<0.001 16 [9, 429 [5, 17<0.001 
ICU days 15 [9, 2725 [14, 51] 11 [7, 19<0.001 21 [13, 4212 [7, 20<0.001 
Admission days 39 [25, 66] 61 [34, 100] 33 [22, 46<0.001 52 [30, 84] 36 [22, 50] <0.001 
Tracheotomy 141 (35.7) 80 (50.0) 61 (26.0) <0.001 36.2% 37.4% 0.757 
Long-term use of urethral catheters 27 (6.8) 14 (8.8) 13 (5.5) 0.213 8.4% 6.8% 0.384 
OutcomeTotal (n = 395)Before IPTWaAfter IPTWb
AKD (n = 160)non-AKD (n = 235)p valueAKDnon-AKDp value
Days from ECMO to dialysis initiationc 5 [2, 60] 5 [2, 38209 [2, 1,291] 0.189 5 [2, 382 [2, 406] <0.001 
Duration of ECMO, days 5 [3, 87 [4, 104 [2, 6<0.001 7 [4, 94 [2, 7<0.001 
Ventilator days 11 [6, 2721 [10, 56] 9 [5, 15<0.001 16 [9, 429 [5, 17<0.001 
ICU days 15 [9, 2725 [14, 51] 11 [7, 19<0.001 21 [13, 4212 [7, 20<0.001 
Admission days 39 [25, 66] 61 [34, 100] 33 [22, 46<0.001 52 [30, 84] 36 [22, 50] <0.001 
Tracheotomy 141 (35.7) 80 (50.0) 61 (26.0) <0.001 36.2% 37.4% 0.757 
Long-term use of urethral catheters 27 (6.8) 14 (8.8) 13 (5.5) 0.213 8.4% 6.8% 0.384 

AKD, acute kidney disease; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; IPTW, inverse probability of treatment weighting.

aData were presented as frequency (percentage) or median [25th, 75th percentiles].

bData were presented as percentage or median [25th, 75th percentiles].

cAvailable number of patients = 102.

Long-Term Outcomes

The duration of follow-up was 20 (interquartile range: 8–56) and 34 (interquartile range: 15–68) months in the IPTW-adjusted AKD and non-AKD groups, respectively (Table 1). The long-term outcomes, categorized based on the patient’s AKD status, are summarized in Table 3. The risk of MAKEs was significantly higher in the AKD group (hazard ratio [HR]: 2.06, 95% confidence interval [CI]: 1.68–2.53, p < 0.001; Fig. 2a) than in the non-AKD group. The risks of all components of MAKEs, such as all-cause mortality, new-onset CKD, and ESKD with chronic dialysis, were significantly higher in the AKD group than in the non-AKD group; among them, ESKD with chronic dialysis had the highest HR (HR: 2.88, 95% CI: 1.12–7.42, p = 0.028; Fig. 2b). The risk of MACEs did not differ significantly between the groups (HR: 1.29, 95% CI: 0.84–1.98, p = 0.241; Fig. 2c); however, the risk of cardiovascular death was significantly higher in the AKD group (HR: 2.35, 95% CI: 1.05–5.23) than in the non-AKD group. Regarding the secondary outcomes, the risks of all-cause, sepsis-related, and infection-related readmissions were higher in the AKD group (Fig. 2d, e) than in the non-AKD group. The risk of long-term dementia did not differ substantially between the groups.

Table 3.

Long-term outcomes (>90 days after ECMO insertion) of patients with or without AKD during 8–90 days after ECMO insertion

OutcomeBefore IPTWaAfter IPTWb
AKD (n = 160)non-AKD (n = 235)AKD (%)non-AKD (%)HR (95% CI) for AKDp value
MAKE 
 All-cause death 40 (25.0) 22 (9.4) 19.9 13.2 1.95 (1.04–3.65) 0.036 
 New diagnosis of CKDc 73 (45.6) 80 (34.0) 46.8 32.7 1.93 (1.33–2.80) <0.001 
 ESKD with chronic dialysis 13 (8.1) 8 (3.4) 7.3 3.3 2.88 (1.12–7.42) 0.028 
 Composite outcome 96 (60.0) 89 (37.9) 57.7 39.8 2.06 (1.68–2.53) <0.001 
MACE 
 Cardiovascular death 33 (20.6) 15 (6.4) 16.2 9.0 2.35 (1.05–5.23) 0.037 
 AMI 9 (5.6) 14 (6.0) 5.1 5.6 1.08 (0.43–2.74) 0.873 
 Ischemic stroke 9 (5.6) 8 (3.4) 3.7 3.1 1.40 (0.51–3.89) 0.515 
 Heart failure hospitalization 25 (15.6) 43 (18.3) 15.7 17.7 1.09 (0.61–1.97) 0.770 
 Composite outcome 52 (32.5) 62 (26.4) 28.8 28.1 1.29 (0.84–1.98) 0.241 
Secondary outcome 
 All-cause readmission 93 (58.1) 134 (57.0) 64.5 57.6 1.41 (1.04–1.91) 0.027 
 Sepsis-related readmission 21 (13.1) 13 (5.5) 14.9 7.2 2.84 (1.31–6.15) 0.008 
 Infection-related readmission 43 (26.9) 49 (20.9) 30.0 22.7 1.77 (1.13–2.78) 0.013 
 Dementia 4 (2.5) 7 (3.0) 1.9 2.5 0.95 (0.25–3.56) 0.942 
OutcomeBefore IPTWaAfter IPTWb
AKD (n = 160)non-AKD (n = 235)AKD (%)non-AKD (%)HR (95% CI) for AKDp value
MAKE 
 All-cause death 40 (25.0) 22 (9.4) 19.9 13.2 1.95 (1.04–3.65) 0.036 
 New diagnosis of CKDc 73 (45.6) 80 (34.0) 46.8 32.7 1.93 (1.33–2.80) <0.001 
 ESKD with chronic dialysis 13 (8.1) 8 (3.4) 7.3 3.3 2.88 (1.12–7.42) 0.028 
 Composite outcome 96 (60.0) 89 (37.9) 57.7 39.8 2.06 (1.68–2.53) <0.001 
MACE 
 Cardiovascular death 33 (20.6) 15 (6.4) 16.2 9.0 2.35 (1.05–5.23) 0.037 
 AMI 9 (5.6) 14 (6.0) 5.1 5.6 1.08 (0.43–2.74) 0.873 
 Ischemic stroke 9 (5.6) 8 (3.4) 3.7 3.1 1.40 (0.51–3.89) 0.515 
 Heart failure hospitalization 25 (15.6) 43 (18.3) 15.7 17.7 1.09 (0.61–1.97) 0.770 
 Composite outcome 52 (32.5) 62 (26.4) 28.8 28.1 1.29 (0.84–1.98) 0.241 
Secondary outcome 
 All-cause readmission 93 (58.1) 134 (57.0) 64.5 57.6 1.41 (1.04–1.91) 0.027 
 Sepsis-related readmission 21 (13.1) 13 (5.5) 14.9 7.2 2.84 (1.31–6.15) 0.008 
 Infection-related readmission 43 (26.9) 49 (20.9) 30.0 22.7 1.77 (1.13–2.78) 0.013 
 Dementia 4 (2.5) 7 (3.0) 1.9 2.5 0.95 (0.25–3.56) 0.942 

AKD, acute kidney disease; CI, confidence interval; ESKD, end-stage kidney disease; HR, hazard ratio; IPTW, inverse probability of treatment weighting; MACE, major adverse cardiac events; MAKE, major adverse kidney disease; AMI, acute myocardial infarction.

aData were presented as frequency (percentage).

bData were presented as percentage.

cDefined as eGFR <60 mL/min/1.73 m2.

Fig. 2.

IPTW-adjusted cumulative rate of MAKEs (a), ESKD with chronic dialysis (b), MACEs (c), sepsis-related readmission (d), and infection-related readmission (e) stratified by AKD status during follow-up. AKD, acute kidney disease; CI, confidence interval; IPTW, inverse probability of treatment weighting; MACE, major adverse cardiovascular event; MAKE, major adverse kidney event.

Fig. 2.

IPTW-adjusted cumulative rate of MAKEs (a), ESKD with chronic dialysis (b), MACEs (c), sepsis-related readmission (d), and infection-related readmission (e) stratified by AKD status during follow-up. AKD, acute kidney disease; CI, confidence interval; IPTW, inverse probability of treatment weighting; MACE, major adverse cardiovascular event; MAKE, major adverse kidney event.

Close modal

Observed from Figure 2c, the two groups crossed at approximately 5–6 years of follow-up, which implied the proportionality assumption may not be held. Therefore, we conducted a piecewise analysis for MACE to investigate whether the impact of AKD diminishes over time, as depicted in online supplementary Figure 1. Individuals with AKD had higher risk for developing MACE within the initial 3 years of ECMO compared to those without AKD (HR: 1.68, 95% CI: 1.22–2.30). However, this effect was not observed beyond the 3-year landmark.

Subgroup Analysis

Subgroup analysis revealed that the observed nonfavorable effect of AKD on the risk of MAKEs was more pronounced in patients receiving V-V ECMO than in those receiving V-A ECMO (HR: 5.69 vs. 1.85, respectively; p for interaction = 0.004; Fig. 3). Regarding MACEs, no evidence of substantial between-group heterogeneity was found (online suppl. Table 3).

Fig. 3.

Results of subgroup analyses performed to assess the risk of MAKEs in the IPTW-adjusted AKD and non-AKD groups. AKD, acute kidney disease; ECMO, extracorporeal membrane oxygenation; IPTW, inverse probability of treatment weighting; MAKE, major adverse kidney event; V-A, venoarterial; V-V, venovenous.

Fig. 3.

Results of subgroup analyses performed to assess the risk of MAKEs in the IPTW-adjusted AKD and non-AKD groups. AKD, acute kidney disease; ECMO, extracorporeal membrane oxygenation; IPTW, inverse probability of treatment weighting; MAKE, major adverse kidney event; V-A, venoarterial; V-V, venovenous.

Close modal

Since AKI has been known to be associated with future CV events, we performed a subgroup analysis by excluding individuals with AKI from the non-AKD group and another IPTW-adjusted cohort was created, as outlined in online supplementary Table 4. In this analysis, individuals with AKD had a significantly elevated risk of MACE compared to those without both AKD and AKI (HR 1.37, 95% CI: 1.02–1.84). This increased MACE risk was primarily attributed to a higher likelihood of cardiovascular death (HR: 2.48, 95% CI: 1.57–3.92).

Sensitivity and Additional Analyses

In the main study, we excluded 584 patients who died within 90 days of follow-up and 103 patients with missing creatinine data to assess AKI or AKD. To evaluate the potential influence of these excluded patients on both in-hospital and long-term outcomes, we conducted a sensitivity analysis (online suppl. Tables 5, 6). The HR of MAKE and cardiovascular death in the AKD group remained significantly higher than in the non-AKD group. Although the differences did not reach statistical significance, a higher risk for all-cause readmission, sepsis-related readmission, and infection-related readmission was observed in the AKD group compared to non-AKD group. Overall, the results of the sensitivity analyses were consistent to that of the main analyses, which may confirm the robustness of the findings.

The long-term outcomes, classified according to the patient’s AKI status (and another IPTW-adjusted cohort was created), are presented in online supplementary Table 7. Patients with AKI exhibited a higher incidence of new diagnosis of CKD, ESKD with chronic dialysis, and a composite outcome of MAKE. Additionally, sepsis-related readmission and infection readmission rates were elevated in patients who experienced AKI compared to those without.

To the best of our knowledge, this study is the first to explore the effects of AKD status on the risks of long-term MAKEs, MACEs, and readmissions in ECMO survivors. ECMO survivors with AKD had poorer long-term outcomes in terms of MAKEs and cardiovascular death than did those without AKD. Readmission rates also varied considerably when patients were stratified according to post-ECMO AKD status, including all-cause, sepsis-related, and infection-related readmissions.

Detrimental effects of AKI have been reported in ECMO survivors, and our findings further suggest that these effects are also relevant for AKD. AKI increases the risks of long-term mortality and MAKEs in critical ill patients and ECMO recipients [26, 30]. Mortality risk is higher in patients with AKI requiring dialysis than in those not requiring dialysis. Even after these patients recover from AKI requiring dialysis, their mortality risk is still higher than those without AKI [26]. AKD, which is the transition phase from AKI to CKD, has similar deleterious effect in ECMO survivors. AKD has been reported to be a predictor for mortality in ECMO recipients after multivariate analysis [10]. After IPTW adjustment in the present study, patients with AKD were found to have worse long-term survival than did those without AKD. Thus, AKD increases not only the overall mortality rate of ECMO survivors but also the likelihood of future kidney-related adverse events and cardiovascular death. Currently, kidney function surveillance has been proposed as standard of care in pediatric ECMO survivors [31]. The intensive monitoring of kidney and cardiovascular functions is recommended during the long-term follow-up of adult ECMO survivors with AKD.

In our study, the incidence of AKI is higher in the AKD group compared to the non-AKD group, which is expected considering AKD is an extension of AKI over time. The patients with AKI experience unfavorable in-hospital outcomes, including earlier initiation of dialysis after ECMO, longer duration of mechanical ventilation, and hospital days. These findings are consistent with previous studies [4, 17]. Another population-based study demonstrated that AKI patients requiring dialysis had a higher risk of in-hospital mortality, longer hospital and ICU stays [26]. Moreover, the study also found that non-recovery dialysis-requiring AKI patients had a higher long-term MAKE risk compared to those who recovered from dialysis-requiring or did not experience AKI. Our study also shows slightly a higher risk for long-term MAKE in those with AKI than those without, although the difference was not statistically significant. The lack of significance might be attributed to our smaller sample size, different exclusion criteria, and grouping methods compared to previous studies. AKD is considered an ongoing renal pathophysiological process following AKI without timely renal recovery within 7 days [11]. The more prominent detrimental effect of AKD on long-term complications, such as MAKE and readmission, compared to AKI, may be attributed to the persistent pathophysiological nature of AKD. More studies are required to determine whether AKD directly contributes to these long-term complications or serves as an intermediate factor for AKI. The pathophysiological interplay between AKI, AKD, and long-term complications requires further investigation to better understand their relationships and mechanisms.

Subgroup analysis performed in the present study indicated that the nonfavorable effect of AKD on the risk of MAKEs was more pronounced in patients receiving V-V ECMO than in those receiving V-A ECMO. From a pathophysiological perspective, V-A ECMO is associated with more kidney damage than V-V ECMO. The continuous blood flow from V-A ECMO results in a decrease in pulsatility, which can compromise renal blood flow due to periarteritis in the kidney and disruption of the renin-angiotensin system [32]. Additionally, V-A ECMO has more complications such as hemorrhage or thromboembolism than V-V ECMO [33]. Although some studies have reported higher incidences of AKI in patients receiving V-A ECMO than in those receiving V-V ECMO, others studies have indicated no substantial difference between the two modes of ECMO; this suggests that patients’ baseline characteristics or AKI etiologies might be more important for ECMO-related AKI than are the ECMO modes [1, 28, 34]. Direct comparison of the two modes in terms of kidney insult is difficult because of the differences in clinical indications. Furthermore, higher rates of stage 3 AKI and KRT use have been reported in patients receiving V-V ECMO than in those receiving V-A ECMO; a higher severity of AKI is associated with a higher risk of MAKEs [34, 35]. In general, patients receiving V-V ECMO are more susceptible to sepsis and have more comorbidities than are those receiving V-A ECMO [36]. Whether patient characteristics and sepsis-related kidney injury contribute to the more pronounced negative effects of AKD on the risk of long-term MAKEs in patients receiving V-V ECMO remains unclear. Hence, further studies are required to clarify the associations between patient characteristics, kidney injury etiologies, ECMO modes, and long-term kidney outcomes.

Cardiovascular complications following AKI have been previously described in the literature, termed as cardiorenal syndrome type 3 [37]. However, the inconsistency in the reported adverse effects of AKI on cardiovascular health can be attributed to the observational nature of these studies [38]. Notably, insights from prospective studies such as Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury (ASSESS-AKI) and AKI Risk in Derby (ARID) indicate that the risk of developing adverse cardiovascular outcomes diminishes after adjusting for kidney function 3 months post the index hospitalization [39, 40]. The findings from our study, indicating a connection between the presence of AKD in ECMO patients and cardiovascular death, are consistent with this concept. Furthermore, the detrimental impact of AKD on MACE is more pronounced in the initial 3 years following ECMO initiation but diminishes thereafter. The reasons behind the gradual attenuation of this adverse effect over time remain unclear. While additional research is necessary to explore the cardiovascular consequences of AKD, given the limited existing literature, it is recommended to closely monitor cardiovascular health in ECMO survivors, particularly within the first 3 years.

ECMO survivors with AKD are more likely to be rehospitalized during long-term follow-up than are those without AKD. Moreover, the AKD group exhibited higher risks of all-cause, sepsis-related, and infection-related readmissions than did the non-AKD group. After rigorous ITPW adjustment, the AKD group consistently had more sepsis-related readmissions during long-term follow-up than did the non-AKD group. Further studies are needed to elucidate the precise mechanisms underlying the observed association between AKD and increased readmission risks. A population-based retrospective study reported that patients with AKI had markedly higher risks of 30- and 90-day all-cause readmissions than did those without AKI, and this association remained significant after covariate adjustment [41]. Patients with AKI are likely to have subsequent infection and sepsis-related readmission [42‒45]. Significantly, individuals who developed sepsis following AKI were also more likely to undergo dialysis treatment and experienced extended hospitalization periods [42]. Even patients with complete recovery from AKI have higher risks of infection 1 year after the initial AKI incidence [46]. Doi et al. indicated the post-AKI impairment of patients’ immune function is a possible reason for the higher risk of readmission in this population. Thus, future studies are warranted to explore the crosstalk between the immune system and kidneys. AKI may develop due to inflammatory insults, and AKI itself exerts profound immune-dysregulatory effects [47]. In the pathophysiologic context, AKI impairs neutrophil rolling and migration, subsequently hindering the neutrophil recruitment cascade [47]. Patients with AKI and sepsis have higher levels of resistin, which impedes neutrophil migration and bacterial killing, than do healthy population [47‒49]. Presumably, ECMO creates routes for pathogen invasion from surgical sites or circuits, thus rendering recipients with kidney injury susceptible to subsequent infection [42]. AKD is the transition state between AKI and CKD and thus is expected to exert reasonably similar negative effects via immune system-kidney crosstalk. Our findings suggest that AKD may have a comparable impact on all-cause and infection-related readmissions as AKI does. Further well-controlled prospective studies are needed to confirm the influence of kidney-immune crosstalk.

Among ECMO survivors, patients with AKD had higher risks of MAKEs and cardiovascular death than did those without AKD. AKD patients also had a higher risk of MACE within the initial 3 years following the initiation of ECMO. In addition, the likelihoods of all-cause, sepsis-related, and infection-related readmissions were higher in patients with AKD than in those without AKD. The effect of AKD on the risk of MAKEs was more prominent in patients receiving V-V ECMO than in those receiving V-A ECMO. AKD should not be regarded as only a transient clinical status; rather, it should be deemed a predictor of long-term clinical outcomes. Clinicians should routinely monitor kidney and cardiovascular functions and check for infection during the long-term follow-up of ECMO survivors with AKD.

The authors thank Mr. Alfred Hsing-Fen Lin and Ms. Zoe Ya‐Jhu Syu for their assistance in statistical analysis.

This study was approved by the Institutional Review Board of Chang Gung Memorial Hospital (approval number: 202100124B0; Jan 03, 2021). The requirement for informed consent was waived by the Institutional Review Board because the CGRD does not store specific personal identification data.

The authors have no conflicts of interest to declare.

This study was supported by grants from the Ministry of Science and Technology and the Chang Gung Memorial Hospital Research Program (NSC 110-2314-B-182A-043, CMRPG3L0991, CMRPG5M0181, and CMRPG5N0041). The funder had no role in the design, data collection, data analysis, and reporting of this study.

Ming-Jen Chan: writing – original draft preparation and editing, methodology, and software; Shao-Wei Chen: conceptualization and methodology; Pei-Chun Fan: writing – reviewing and data curation; Cheng-Chia Lee: visualization and data curation; George Kuo: visualization, methodology, and software; Jia-Jin Chen: methodology and software; Yung-Chang Chen: supervision and conceptualization; and Chih-Hsiang Chang: supervision, conceptualization, and writing – reviewing. All authors have read and agreed to the published version of the manuscript.

The data that support the findings of this study are not publicly available for protecting privacy of research patients but are available from the corresponding author upon reasonable request.

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