Abstract
Background:
Studies suggest an association between acute kidney injury (AKI) and long-term risk of chronic kidney disease (CKD), even following apparent renal recovery. Whether pattern of renal recovery predicts kidney risk following AKI is unknown.
Study Design:
Retrospective cohort.
Setting and Participants:
Patients in the Veterans Health Administration in 2011 hospitalized (> 24 hours) with at least two inpatient serum creatinine measurements, baseline eGFR > 60 ml/min/1.73m2 and no diagnosis of CKD or ESRD: 17,049 with AKI (16.3%) and 87,715 without.
Predictor:
Pattern of recovery to creatinine within 0.3 mg/dl of baseline after AKI: within 2 days (fast), between 3 and 10 days (intermediate), and no recovery by 10 days (slow or unknown).
Outcome:
Stage 3 or higher CKD, defined as 2 outpatient eGFRs <60 ml/min/1.73m2 at least 90 days apart or a CKD diagnosis, dialysis, or transplant.
Measurements:
Risk of CKD was modeled using modified Poisson regression and time to death-censored CKD modeled using Cox proportional hazards regression, both stratified by stage of AKI.
Results:
Most patients’ AKI episodes were Stage 1 (91%) and 71% recovered within two days. At one year, 18.2% had developed CKD (AKI: 31.8%, non-AKI: 15.5%, p<.001). In stage 1, the adjusted relative risk ratios (RR) for Stage 3 or higher CKD were 1.43 (95% CI 1.39–1.48), 2.00 (95% CI 1.88–2.12), and 2.65 (2.51–2.80) for fast, intermediate, and slow/unknown recovery. A similar pattern was observed in subgroup analyses incorporating albuminuria and sensitivity analysis of death-censored time to CKD.
Limitations:
Variable timing of follow-up and mostly male veteran cohort may limit generalizability.
Conclusions:
Patients who develop AKI during a hospitalization are at substantial risk for development of CKD by one year following hospitalization and timing of AKI recovery is a strong predictor, even for the mildest forms of AKI.
Keywords: Renal recovery, acute kidney injury outcomes
Introduction
Acute kidney injury (AKI) is a common and frequently devastating clinical syndrome associated with hospital mortality rates approaching 25% overall and exceeding 50% in severe cases.1–3 Among survivors, severe AKI requiring dialysis can result in non-recovery or incomplete recovery of renal function; in other words, end-stage renal disease (ESRD) or chronic kidney disease (CKD) respectively.4 Recently, there has been increasing recognition that even AKI patients with apparent complete recovery remain at risk for long-term renal complications.5–7
While studies have demonstrated an association between moderate-to-severe forms of AKI and subsequent renal complications, less is known about the prognostic implications of milder forms of AKI, including those with relatively rapid recovery of renal function.8 Yet mild AKI makes up the majority of AKI cases and is often unrecognized or dismissed as a benign event.9 Follow-up renal evaluation of these patients is likely quite infrequent, considering the low rates of follow-up even among patients with more severe forms of AKI.10 Identifying patients at risk for long-term complications is therefore an important public health goal; indeed, one of the objectives of Healthy People 2020 is to increase the proportion of AKI patients receiving follow-up renal evaluation.11
Until recent development of consensus definitions for AKI,12 a particular hindrance to examining AKI outcomes has been the lack of uniformly applied AKI definitions.13 The majority of early studies relied on diagnoses in administrative claims data, which are known to be variably applied and inherently biased towards more severe cases of AKI.14 Conversely, most studies with available clinical data have had limitations including being relatively small and regional, unable to account for key confounding factors such as proteinuria, and/or lack of a non-AKI comparison group.5, 6, 15–17 Such studies also do not permit detailed characterization of renal recovery patterns. Using data from the U.S. Veterans Health Administration (VHA or VA) provides a unique opportunity to examine AKI on a national level using both administrative and clinical data, allowing the application of consensus AKI definitions.
The goal of this study was to characterize the risk of adverse renal outcomes following hospitalization for AKI in patients without pre-existing CKD (de novo AKI). In particular, we focused on patterns of AKI recovery, which typically cannot be captured in studies using administrative data. We hypothesized that longer AKI recovery times would be associated with significant increased risk for renal complications.
Methods
Study Population
A 100% national data sample from the VHA system for fiscal years (FY; October through September) 2010 to 2012 was used for the study. The VHA is the largest integrated health care system in the US.18 National data on VA patients are abstracted from VA facilities, including patient demographics, medical procedures and diagnoses, hospital visits and vital status.19 The data files contain information on inpatient stays and outpatient visits and use the International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM) and Current Procedural Terminology (CPT) systems to code diagnoses and procedures. In addition, the VA Decision Support System (DSS) extracts include pharmacy information and selected laboratory results. To ensure patients were utilizing the VA health system and therefore would have reasonably complete data capture, the study cohort was limited to individuals who had at least one outpatient visit to a VA facility in FY2011. Inclusion criteria were a patient’s first hospitalization in FY2011 greater than one day in duration and during which at least two serum creatinine (SCr) values were obtained. Exclusion criteria were: a) pre-existing ESRD or CKD defined by either diagnostic code or estimated glomerular filtration rate (eGFR) <60 ml/min/1.73m2 in the 365 days before index hospitalization; b) lack of post-hospitalization SCr values; and c) death within one year of index hospitalization. We excluded those who died within 365 days of discharge to focus the analysis on patients developing CKD that would need management for some time in the future rather than in the last year of life. For all analyses, eGFR values were calculated using the CKD-EPI 2009 creatinine equation.20 In the VA system, laboratories began transitioning to serum creatinine measurements with calibration to isotope dilution mass spectrometry reference in 2006 and most facilities had completed this transition by 2010. This study was approved by the VA Ann Arbor Healthcare System institutional review board/human subjects committee (2015–010073) with a waiver of informed consent.
Study Variables and Definitions
Demographic variables included age, gender, and race. Patient comorbidity data (based on ICD-9-CM codes and pharmacy data) was abstracted. Indicators for diabetes mellitus and hypertension were created and a Charlson comorbidity score was calculated for each patient, excluding diabetes from the score calculation. Additional data included baseline eGFR, baseline urine albumin:creatinine ratio (when available), and clinical details of hospitalization (diagnosis of sepsis, need for mechanical ventilation, length of stay). Baseline SCr (and eGFR) was defined hierarchically from outpatient laboratory results. The mean of SCr values between 7 and 365 days before hospitalization was designated as baseline (88% of cohort).21 The 7-day cutoff is arbitrary but was used to avoid selecting an elevated SCr that may have been associated with the need for hospitalization. If the only available outpatient SCr was within 7 days of admission it was used as baseline (9% of cohort), and the first inpatient SCr was used if no outpatient SCr was available (2.6% of cohort).
AKI was defined and staged using the Kidney Disease: Improving Global Outcomes (KDIGO) creatinine-based criteria.12 Stage 1 AKI was defined as an increase of at least 0.3mg/dl (within 48 hours) but less than twice the baseline creatinine or an increase of 1.5 times baseline (within 7 days); stage 2 AKI is an increase of between 2 and 3 times baseline; and stage 3 AKI is a creatinine increase greater than 3 times baseline or increase to 4.0mg/dl or greater. Patterns of AKI recovery (defined as return of creatinine to <0.3mg/dl above baseline) were examined and organized into the following four categories by pattern of recovery: within 2 days of peak inpatient SCr (fast recovery), between 3 and 10 days from peak (intermediate recovery), those whose SCr was still elevated above baseline at 10 days after peak inpatient SCr (slow or no recovery), and those who did not have follow-up SCr measurements within 10 days of peak inpatient SCr (unknown recovery).
The primary outcome was development of CKD stage 3 or higher by one year following index hospitalization, defined by a physician diagnosis of CKD, dialysis (diagnosis, procedure, or clinic stop code), transplant (diagnosis or procedure), or eGFR <60ml/min/1.73m2 on at least two measurements separated by 90 days. Renal function was assessed for SCr values up to 90 days following the one year post-discharge anniversary, but excluded values that were within 90 days following hospital discharge in order to avoid classifying patients with ongoing renal recovery as having established CKD.
Statistical Methods
Modified Poisson regression models using robust (Huber-White, sandwich) standard errors were used to assess the association between AKI recovery pattern (stratified by stage) and subsequent risk for CKD.22 Model covariates were age, race, sex, pre-admission diabetes mellitus and hypertension, diagnosis of sepsis and need for mechanical ventilation during index hospitalization, length of stay, Charlson comorbidity score (from diagnoses in the year prior to and during the index hospitalization), and baseline eGFR. As a sensitivity analysis, we expanded our sample to include patients who were discharged alive but died within one year of their AKI hospitalization and modeled time to CKD (the earliest of first SCr yielding eGFR<60 (which was confirmed by a second measurement at least 90 days later), first diagnosis of CKD, and first indication of dialysis or transplant) using Cox proportional hazards regression, censoring at death. Albuminuria was only available in a subset of patients and was therefore not included in the primary analysis; however, a subgroup analysis incorporating albuminuria was performed.
Results
Patient Characteristics
During the study period there were 221,087 patients with a hospital stay in the VHA system meeting inclusion criteria. After applying exclusion criteria, the final analysis cohort consisted of 104,764 patient hospitalizations (47% of total). The most common reason for exclusion was pre-existing CKD, accounting for 63% of exclusions (Figure 1). Additional information regarding characteristics of excluded patients is provided in supplemental tables (Table S1 and S2).
Figure 1.
Selection of study cohort.
Abbreviations: AKI, acute kidney injury; CKD, chronic kidney disease; d, day(s); ESRD, end-stage renal disease; SCr, serum creatinine.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as ≤ 2 days; 3 to 10 days; SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
Table 1 provides baseline patient characteristics of the analysis cohort overall and stratified by AKI occurrence. Among the final cohort, 17,049 patients (16.3%) had some degree of AKI. AKI patients were older and had slightly lower baseline renal function (eGFR) compared to patients not developing AKI (both p<0.001). Compared to the non-AKI group, a higher proportion of AKI patients were African-American, male, and had pre-existing diabetes and hypertension (all p<0.001).
Table 1:
Patient characteristics, overall and by presence of AKI during index hospitalization
| Variable | Total (n=104,764, 100%) | No AKI (n=87,715, 83.7%) | With AKI (n=17,049, 16.3%) | ||||
|---|---|---|---|---|---|---|---|
| N | % or Mean (SD) | N | % or Mean (SD) | N | % or Mean (SD) | p-value | |
| Baseline eGFR, mean (SD) (mL/min/1.73m2) | 104,764 | 86.7 (15.5) | 87,715 | 87.2 (14.4) | 17,049 | 83.9 (15.5) | <0.001 |
| Number of outpatient SCr, year before admission, mean (SD) | 104,764 | 3.5 (3.4) | 87,715 | 3.4 (3.4) | 17,049 | 3.7 (3.5) | <0.001 |
| Age (years), mean (SD) | 104,764 | 61.8 (11.8) | 87,715 | 61.6 (11.9) | 17,049 | 63.1 (10.8) | <0.001 |
| 20 to <30 years, % | 1,544 | 1.5 | 1,423 | 1.6 | 121 | 0.7 | <0.001 |
| 30 to <40 years, % | 2,885 | 2.8 | 2,588 | 3.0 | 297 | 1.7 | <0.001 |
| 40 to <50 years, % | 8,806 | 8.4 | 7,702 | 8.8 | 1,104 | 6.5 | <0.001 |
| 50 to <60 years, % | 27,960 | 26.7 | 23,572 | 26.9 | 4,388 | 25.7 | 0.002 |
| 60 to <70 years, % | 42,476 | 40.5 | 35,026 | 39.9 | 7,450 | 43.7 | <0.001 |
| 70+ years, % | 21,093 | 20.1 | 17,404 | 19.8 | 3,689 | 21.6 | <0.001 |
| Race and ethnicity, % | |||||||
| Non-Hispanic white | 72,226 | 68.9 | 61,175 | 69.7 | 11,051 | 64.8 | <0.001 |
| Non-Hispanic African American | 20,096 | 19.2 | 15,991 | 18.2 | 4,105 | 24.1 | <0.001 |
| American Indian/Alaska Native | 581 | 0.6 | 497 | 0.6 | 84 | 0.5 | 0.2 |
| Pacific Islander/Native Hawaiian | 578 | 0.6 | 493 | 0.6 | 85 | 0.5 | 0.3 |
| Hispanic | 4,258 | 4.1 | 3,594 | 4.1 | 664 | 3.9 | 0.2 |
| Asian | 230 | 0.2 | 198 | 0.2 | 32 | 0.2 | 0.3 |
| Other/Unknown | 6,795 | 6.5 | 5,767 | 6.6 | 1,028 | 6.0 | 0.008 |
| Female, % | 5,351 | 5.1 | 4,758 | 5.4 | 593 | 3.5 | <0.001 |
| Pre-admission diabetes, %a | 37,361 | 35.7 | 29,448 | 33.6 | 7,913 | 46.4 | <0.001 |
| Pre-admission hypertension, %b | 80,655 | 77.0 | 66,024 | 75.3 | 14,631 | 85.8 | <0.001 |
| Sepsis diagnosis, % | 249 | 0.2 | 66 | 0.1 | 183 | 1.1 | <0.001 |
| Mechanical ventilation, % | 1,922 | 1.8 | 1,022 | 1.2 | 900 | 5.3 | <0.001 |
| Surgical DRG, % | 26,947 | 25.7 | 22,307 | 25.4 | 4,640 | 27.2 | <0.001 |
| Length of stay, days | 104,764 | 7.6 (23.6) | 87,715 | 7.3 (24.8) | 17,049 | 9.2 (15.9) | <0.001 |
| 2 – 3 days, % | 42,416 | 40.5 | 37,180 | 42.4 | 5,236 | 30.7 | <0.001 |
| 4 – 6 days, % | 31,263 | 29.8 | 26,599 | 30.3 | 4,664 | 27.4 | <0.001 |
| 7 – 14 days, % | 15,951 | 15.2 | 12,344 | 14.1 | 3,607 | 21.2 | <0.001 |
| 15 – 21 days, % | 4,276 | 4.1 | 3,094 | 3.5 | 1,182 | 6.9 | <0.001 |
| 22 – 30 days, % | 1,959 | 1.9 | 1,402 | 1.6 | 557 | 3.3 | <0.001 |
| 31 or more days, % | 2,690 | 2.6 | 2,014 | 2.3 | 676 | 4.0 | <0.001 |
| Had baseline urine albumin, % | 22,646 | 21.6 | 18,060 | 20.6 | 4,586 | 26.9 | <0.001 |
| Charlson comorbidity score, mean (SD)c | 104,764 | 1.21 (1.4) | 87,715 | 1.2 (1.4) | 17,049 | 1.3 (1.4) | <0.001 |
| 0, % | 40,488 | 38.6 | 34,520 | 39.4 | 5,968 | 35.0 | |
| 1, % | 29,443 | 28.1 | 24,531 | 28.0 | 4,912 | 28.8 | |
| 2, % | 18,432 | 17.6 | 15,187 | 17.3 | 3,245 | 19.0 | <0.001 |
| 3, % | 9,941 | 9.5 | 8,224 | 9.4 | 1,717 | 10.1 | |
| 4, % | 3,558 | 3.4 | 2,881 | 3.3 | 677 | 4.0 | |
| 5 or more, % | 2,902 | 2.8 | 2,372 | 2.7 | 530 | 3.1 | |
| Charlson conditions, % | |||||||
| Acute myocardial infarction | 4,298 | 4.1 | 3,497 | 4.0 | 801 | 4.7 | <0.001 |
| Past acute MI | 5,258 | 5.0 | 4,408 | 5.0 | 850 | 5.0 | 0.8 |
| Heart failure | 14,039 | 13.4 | 10,957 | 12.5 | 3,082 | 18.1 | <0.001 |
| Peripheral vascular disease (Dx) | 12,608 | 12.0 | 10,215 | 11.6 | 2,393 | 14.0 | <0.001 |
| Peripheral vascular disease (No Dx but has CPT) | 1,521 | 1.5 | 1,218 | 1.4 | 303 | 1.8 | <0.001 |
| Cerebrovascular disease | 13,896 | 13.3 | 11,594 | 13.2 | 2,302 | 13.5 | 0.3 |
| Lung disease | 35,248 | 33.6 | 29,507 | 33.6 | 5,741 | 33.7 | 0.9 |
| Dementia | 1,067 | 1.0 | 887 | 1.0 | 180 | 1.1 | 0.6 |
| Paralysis | 2,091 | 2.0 | 1,747 | 2.0 | 344 | 2.0 | 0.8 |
| Diabetes, no sequelae (Dx only)d | 35,439 | 33.8 | 27,816 | 31.7 | 7,623 | 44.7 | <0.001 |
| Diabetes with sequelae (Dx only)d | 12,505 | 11.9 | 9,546 | 10.9 | 2,959 | 17.4 | <0.001 |
| Mild liver disease | 4,236 | 4.0 | 3,459 | 3.9 | 777 | 4.6 | <0.001 |
| Moderate/severe liver disease | 1,944 | 1.9 | 1,556 | 1.8 | 388 | 2.3 | <0.001 |
| Ulcer, without perforation | 2,907 | 2.8 | 2,428 | 2.8 | 479 | 2.8 | 0.8 |
| Ulcer with perforation | 594 | 0.6 | 477 | 0.5 | 117 | 0.7 | 0.03 |
| Rheumatoid/autoimmune | 2,147 | 2.0 | 1,787 | 2.0 | 360 | 2.1 | 0.5 |
| AIDS | 1,353 | 1.3 | 1,109 | 1.3 | 244 | 1.4 | 0.08 |
| Metastatic cancer | 2,382 | 2.3 | 1,998 | 2.3 | 384 | 2.3 | 0.8 |
| Non-metastatic cancer | 18,387 | 17.6 | 15,153 | 17.3 | 3,234 | 19.0 | <0.001 |
| HIV, not AIDS | 572 | 0.5 | 493 | 0.6 | 79 | 0.5 | 0.1 |
| Number of outpatient SCr, year after discharge, mean (SD) | 104,764 | 5.1 (5.9) | 87,715 | 5.0 (5.7) | 17,049 | 5.7 (7.0) | <0.001 |
| AKI by severity, %e | |||||||
| No AKI | 87,715 | 83.7 | 87,715 | 100.0 | - | 0.0 | |
| Stage 1 | 15,566 | 14.9 | - | - | 15,566 | 91.3 | |
| Stage 2 | 561 | 0.5 | - | - | 561 | 3.3 | |
| Stage 3 | 922 | 0.9 | - | - | 922 | 5.4 | |
| AKI by recovery pattern, %f | |||||||
| No AKI | 87,715 | 83.7 | 87,715 | 100.0 | - | 0.0 | |
| ≤ 2 days | 12,072 | 11.5 | - | - | 12,072 | 70.8 | |
| 3 to 10 days | 2,072 | 2.0 | - | - | 2,072 | 12.2 | |
| Still elevated after 10 days | 1,874 | 1.8 | - | - | 1,874 | 11.0 | |
| No SCr measurement within 10 days | 1,031 | 1.0 | - | - | 1,031 | 6.0 | |
Sample includes patients who survived 365 days following discharge from index admission.
Abbreviations: AIDS, acquired immune deficiency syndrome; AKI, acute kidney injury; CKD, chronic kidney disease; CPT, current procedural terminology; DRG, diagnosis related group; Dx, diagnosis code; eGFR, estimated glomerular filtration rate (using CKD-Epidemiology Collaboration equation); HIV, human immunodeficiency virus; KDIGO, Kidney Disease Improving Global Outcomes; MI, myocardial infarction; SCr, serum creatinine; SD, standard deviation.
Pre-admission diabetes mellitus is defined by the presence of a diagnosis code, hemoglobin A1c > 6.5, serum glucose > 200, or prescription of a diabetes medication in the 365 days before index admission.
Pre-admission hypertension is defined by the presence of a diagnosis code or prescription for an antihypertensive medication in the 365 days before the index admission.
Charlson comorbidity score excludes diabetes mellitus and chronic kidney disease but includes cancer, HIV and AIDS.
Condition not included in Charlson score due to separate inclusion in models.
AKI severity is defined by KDIGO criteria: Stage 1 is an increase in inpatient SCr of ≥ 0.3mg/dl but less than twice baseline creatinine (or an increase of 1.5 times baseline even if less than 0.3mg/dl); Stage 2 is an increase between 2 and 3 times baseline; and Stage 3 is an increase greater than 3 times baseline or an increase to 4.0mg/dl or greater. Conversion factors for units: SCr in mg/dL to μmol/L, ×88.4.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as ≤ 2 days; 3 to 10 days; SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
When examining renal recovery patterns among the AKI patients, the majority (70.8%) experienced fast recovery, 12.2% had intermediate recovery, 11.0% had slow or no recovery, and 6.0% had unknown recovery due to lack of follow-up SCr measurements.
Risk of CKD Development
Approximately one year following the index hospitalization, 19,044 patients (18.2%) had developed CKD stage 3 or higher, including 1.2% with eGFR<15 ml/min/1.73m2, dialysis, or transplant. Development of CKD was significantly more common among patients who had AKI during hospitalization than those without AKI (31.8% vs. 15.5%, p<0.001). Table 2 presents the percentage of patients that developed CKD by one year following AKI hospitalization, stratified by both AKI severity and pattern of recovery.
Table 2:
Development of Stage 3 and higher CKD and Stage5 or ESRD by one year following index hospitalization discharge, stratified by AKI stage and recovery pattern
| Total | Stage 3 or higher CKD by one yeara | Stage 5 CKD/ESRD by one yearb | |||
|---|---|---|---|---|---|
| (N) | Events (N) | Percent of total | Events (N) | Percent of total | |
| Overall total | 104,764 | 19,044 | 18.2 | 1,271 | 1.2 |
| No AKI | 87,715 | 13,625 | 15.5 | 1,044 | 1.2 |
| Any AKI | 17,049 | 5,419 | 31.8 | 227 | 1.3 |
| AKI by severityc | |||||
| Stage 1 | 15,566 | 4,774 | 30.7 | 191 | 1.2 |
| Stage 2 | 561 | 206 | 26.7 | 7 | 1.3 |
| Stage 3 | 922 | 439 | 47.6 | 29 | 3.2 |
| AKI by recovery patternd | |||||
| ≤ 2 days | 12,072 | 3,341 | 27.7 | 127 | 1.1 |
| 3 to 10 days | 2,072 | 823 | 39.7 | 36 | 1.7 |
| Still elevated after 10 days | 1,874 | 997 | 53.2 | 48 | 2.6 |
| No SCr measurement within 10 days | 1,031 | 258 | 25.0 | 16 | 1.6 |
Differences for AKI yes v. no, AKI by severity categories, and AKI by recovery patterns for each outcome variable are statistically significant at the p<0.001 level. Sample includes only patients who survived 365 days following discharge from index admission.
Abbreviations: AKI, acute kidney injury; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate (using CKD-Epidemiology Collaboration equation); ESRD, end-stage renal disease; KDIGO, Kidney Disease Improving Global Outcomes; SCr, serum creatinine.
“Stage 3 or higher CKD by one year” is the presence of a physician diagnosis of CKD, an indication of dialysis post discharge (diagnosis, procedure, or clinic stop code) or transplant (diagnosis) or 2 follow-up SCr results at least 90 days apart, both yielding eGFR < 60 mL/min/1.73m2. Follow-up SCr lab results were between 90 days post discharge and 90 days after one-year discharge anniversary.
“Stage 5 CKD/ESRD by one year” is an indication of dialysis or transplant or a follow-up SCr yielding eGFR < 15 mL/min/1.73m2. Because of incomplete capture of dialysis and transplant care received by VA patients outside of the VA health system in the study data, some Stage 5 CKD patients may actually be ESRD and receiving dialysis outside of the VA health system.
AKI severity is defined by KDIGO criteria: Stage 1 is an increase in inpatient SCr of ≥ 0.3mg/dl but less than twice baseline SCr (or an increase of 1.5 times baseline even if less than 0.3mg/dl); Stage 2 is an increase between 2 and 3 times baseline; and Stage 3 is an increase greater than 3 times baseline or an increase to 4.0mg/dl or greater. Conversion factors for units: SCr in mg/dL to μmol/L, ×88.4.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as < 2 days; 3 to 10 days; SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
When examining patterns of renal recovery, the risk for development of CKD stage 3 or higher rose progressively with duration of AKI before recovery, and this relationship was consistent across all AKI stages (Table 3). Notably, even fast recovering AKI (within 2 days) remained an independent risk factor for CKD compared to patients without AKI, with a relative risk ranging from 1.43 (95% CI 1.39–1.48) to 1.96 (95% CI 1.64–2.34) for AKI stages 1 and 3 respectively. Patients with unknown recovery had an intermediate relative risk of CKD compared to the more specific renal recovery patterns (RR 1.48 [95% CI 1.34–1.64], 2.08 [95% CI 0.70–6.22] and 2.21 [95% CI 1.17–4.17] for stages 1, 2 and 3 respectively).
Table 3:
Adjusted relative risk ratios for the development of Stage 3 or higher CKDa by one year post-discharge from the index hospitalization, stratified by AKI stageb
| Stage 1 AKI | Stage 2 AKI | Stage 3 AKI | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RR | 95% CI | p | RR | 95% CI | p | RR | 95% CI | p | ||||
| AKI recovery patternb | ||||||||||||
| No AKI | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| ≤ 2 days | 1.43 | 1.39 | 1.48 | <0.001 | 1.80 | 1.46 | 2.23 | <0.001 | 1.96 | 1.64 | 2.34 | <0.001 |
| 3 to 10 days | 2.00 | 1.88 | 2.12 | <0.001 | 1.91 | 1.49 | 2.45 | <0.001 | 2.20 | 1.91 | 2.53 | <0.001 |
| Still elevated after 10 days | 2.65 | 2.51 | 2.80 | <0.001 | 3.31 | 2.85 | 3.84 | <0.001 | 3.59 | 3.27 | 3.94 | <0.001 |
| No SCr measurement within 10 days | 1.48 | 1.34 | 1.64 | <0.001 | 2.08 | 0.70 | 6.22 | 0.2 | 2.21 | 1.17 | 4.17 | 0.01 |
| Baseline eGFR, per 10 ml/min/m2 | 0.71 | 0.70 | 0.71 | <0.001 | 0.70 | 0.69 | 0.70 | <0.001 | 0.70 | 0.69 | 0.71 | <0.001 |
| Age at admission, years | ||||||||||||
| 20 to 29 | 0.81 | 0.65 | 1.03 | 0.08 | 0.85 | 0.66 | 1.09 | 0.2 | 0.83 | 0.64 | 1.06 | 0.1 |
| 30 to 39 | 0.90 | 0.78 | 1.03 | 0.1 | 0.84 | 0.72 | 0.99 | 0.04 | 0.84 | 0.72 | 0.98 | 0.03 |
| 40 to 49 | 0.99 | 0.93 | 1.06 | 0.8 | 0.98 | 0.91 | 1.06 | 0.6 | 0.98 | 0.91 | 1.06 | 0.6 |
| 50 to 59 | 1.00 | 0.96 | 1.04 | 0.9 | 0.98 | 0.94 | 1.03 | 0.5 | 0.98 | 0.94 | 1.03 | 0.4 |
| 60 to 69 | 0.96 | 0.94 | 0.99 | 0.01 | 0.96 | 0.92 | 0.99 | 0.01 | 0.96 | 0.92 | 0.99 | 0.01 |
| 70 or older | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| Race and ethnicity | ||||||||||||
| Non-Hispanic white | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| Non-Hispanic black | 1.30 | 1.26 | 1.34 | <0.001 | 1.32 | 1.28 | 1.37 | <0.001 | 1.31 | 1.26 | 1.36 | <0.001 |
| Hispanic | 1.00 | 0.83 | 1.20 | 0.9 | 1.02 | 0.83 | 1.27 | 0.8 | 1.04 | 0.85 | 1.28 | 0.7 |
| Asian | 1.00 | 0.84 | 1.18 | 0.9 | 1.01 | 0.83 | 1.23 | 0.9 | 0.98 | 0.80 | 1.20 | 0.8 |
| American Indian/Alaska native | 1.03 | 0.96 | 1.10 | 0.4 | 1.05 | 0.97 | 1.14 | 0.2 | 1.04 | 0.96 | 1.13 | 0.3 |
| Pacific Islander/Native Hawaiian | 1.15 | 0.88 | 1.50 | 0.3 | 1.11 | 0.81 | 1.53 | 0.5 | 1.10 | 0.80 | 1.51 | 0.6 |
| Unknown | 0.90 | 0.85 | 0.95 | <0.001 | 0.91 | 0.85 | 0.97 | 0.003 | 0.91 | 0.85 | 0.97 | 0.004 |
| Female sex | 0.80 | 0.75 | 0.87 | <0.001 | 0.77 | 0.71 | 0.84 | <0.001 | 0.78 | 0.71 | 0.84 | <0.001 |
| Pre-admission diabetes mellitusc | 1.35 | 1.31 | 1.38 | <0.001 | 1.38 | 1.34 | 1.42 | <0.001 | 1.37 | 1.33 | 1.42 | <0.001 |
| Pre-admission hypertensiond | 1.13 | 1.08 | 1.17 | <0.001 | 1.11 | 1.06 | 1.16 | <0.001 | 1.11 | 1.06 | 1.16 | <0.001 |
| Length of stay | ||||||||||||
| 2 – 3 days | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| 4 – 6 days | 1.04 | 1.01 | 1.07 | 0.004 | 1.05 | 1.02 | 1.09 | 0.004 | 1.05 | 1.01 | 1.08 | 0.01 |
| 7 – 14 days | 1.08 | 1.04 | 1.11 | <0.001 | 1.13 | 1.08 | 1.17 | <0.001 | 1.12 | 1.07 | 1.17 | <0.001 |
| 15 – 21 days | 1.04 | 0.98 | 1.11 | 0.2 | 1.10 | 1.01 | 1.19 | 0.02 | 1.11 | 1.03 | 1.20 | 0.01 |
| 22 – 30 days | 1.12 | 1.02 | 1.22 | 0.01 | 1.11 | 0.99 | 1.25 | 0.07 | 1.12 | 0.99 | 1.25 | 0.06 |
| 31 or more days | 1.06 | 0.97 | 1.15 | 0.2 | 1.01 | 0.90 | 1.13 | 0.9 | 1.03 | 0.92 | 1.15 | 0.6 |
| Sepsis diagnosis during this hospitalization | 1.21 | 0.96 | 1.52 | 0.1 | 1.46 | 1.03 | 2.07 | 0.03 | 1.13 | 0.83 | 1.55 | 0.4 |
| Mechanical ventilation this hospitalization | 1.01 | 0.93 | 1.10 | 0.8 | 0.97 | 0.85 | 1.11 | 0.7 | 0.99 | 0.87 | 1.13 | 0.9 |
| Charlson comorbidity scoree, per unit | 1.13 | 1.12 | 1.14 | <0.001 | 1.14 | 1.13 | 1.15 | <0.001 | 1.14 | 1.13 | 1.15 | <0.001 |
All variables included in the models are shown in table. Separate modified Poisson regression models estimated for each stage of AKI compared to no AKI among patients who survived 365 days following discharge from index admission.
Abbreviations: AIDS, acquired immune deficiency syndrome; AKI, acute kidney injury; CKD, chronic kidney disease; CI, 95% confidence interval; eGFR, estimated glomerular filtration rate (using CKD-Epidemiology Collaboration equation); HIV, human immunodeficiency virus; KDIGO, Kidney Disease Improving Global Outcomes; p, p-value; ref, reference group; RR, relative risk ratio; SCr, serum creatinine.
“Stage 3 or higher CKD by one year” is the presence of a physician diagnosis of CKD, an indication of dialysis post discharge (diagnosis, procedure, or clinic stop code) or transplant (diagnosis) or 2 follow-up SCr results at least 90 days apart, both yielding eGFR < 60 mL/min/1.73m2. Follow-up SCr lab results were between 90 days post discharge and 90 days after one-year discharge anniversary.
AKI severity is defined by KDIGO criteria: Stage 1 is an increase in inpatient SCr of ≥ 0.3mg/dl but less than twice baseline SCr (or an increase of 1.5 times baseline even if less than 0.3mg/dl); Stage 2 is an increase between 2 and 3 times baseline; and Stage 3 is an increase greater than 3 times baseline or an increase to 4.0mg/dl or greater. Conversion factors for units: SCr in mg/dL to μmol/L, ×88.4.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as < 2 days; 3 to 10 days; and SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
Pre-admission diabetes mellitus is defined by the presence of a diagnosis code, hemoglobin A1c > 6.5, serum glucose > 200, or prescription of a diabetes medication in the 365 days before index admission.
Pre-admission hypertension is defined by the presence of a diagnosis code or prescription for an antihypertensive medication in the 365 days before the index admission.
Charlson comorbidity score excludes diabetes mellitus and chronic kidney disease but includes cancer, HIV and AIDS.
Subgroup and Sensitivity Analyses
In the time to CKD model censoring for death, slower AKI recovery remained independently associated with increased risk for development of CKD stage 3 or higher within each stage of AKI, similar to the relationship observed in the modified Poisson regression models. In patients with stage 1 AKI, the hazard ratios were increased compared to the primary analysis, whereas they were slightly attenuated for patients with stage 2 and 3 AKI (Table 4).
Table 4:
Adjusted hazard ratios for the effect of AKI recovery pattern on death-censored time to development of Stage 3 or higher CKD by one year after discharge from the index hospitalization, stratified by AKI stagea
| Stage 1 AKI | Stage 2 AKI | Stage 3 AKI | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HR | 95% CI | p | HR | 95% CI | p | HR | 95%CI | p | ||||
| AKI by recovery patternb | ||||||||||||
| No AKI | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| ≤ 2 days | 1.49 | 1.43 | 1.54 | <0.001 | 1.32 | 1.01 | 1.72 | 0.04 | 1.52 | 1.23 | 1.89 | <0.001 |
| 3 to 10 days | 2.32 | 2.16 | 2.49 | <0.001 | 1.66 | 1.24 | 2.23 | 0.001 | 1.61 | 1.31 | 1.97 | <0.001 |
| Still elevated after 10 days | 3.25 | 3.02 | 3.50 | <0.001 | 3.81 | 3.09 | 4.68 | <0.001 | 2.97 | 2.55 | 3.46 | <0.001 |
| No SCr measures in 10 days | 1.78 | 1.60 | 2.00 | <0.001 | 2.28 | 0.57 | 9.13 | 0.2 | 2.01 | 1.00 | 4.03 | 0.05 |
Abbreviations: AIDS, acquired immune deficiency syndrome; AKI, acute kidney injury; CKD, chronic kidney disease; CI, 95% confidence interval; eGFR, estimated glomerular filtration rate (using CKD-Epidemiology Collaboration equation); HIV, human immunodeficiency virus; HR, hazard ratio; KDIGO, Kidney Disease Improving Global Outcomes; p, p-value; ref, reference group; SCr, serum creatinine.
This analysis included all patients discharged alive from the index hospitalization (n=121,123). Separate Cox proportional hazards regression models were used to model time to the development of Stage 3 or higher CKD [defined as the earliest of first physician diagnosis of CKD, indication of dialysis (diagnosis, procedure, or clinic stop code), transplant (diagnosis), or the first of two follow-up SCr results yielding eGFR < 60 mL/min/1.73m2 at least 90 days apart] for each stage of AKI compared to no AKI. Follow-up started at day of discharge.
Each model also included baseline eGFR, age, race, sex, pre-admission diabetes mellitus (defined by the presence of a diagnosis code, hemoglobin A1c > 6.5, serum glucose > 200, or prescription of a diabetes medication in the 365 days before index admission), pre-admission hypertension (defined by the presence of a diagnosis code or prescription for an antihypertensive medication in the 365 days before the index admission), sepsis diagnosis, mechanical ventilation, and length of stay during index admission, and Charlson comorbidity scores, excluding diabetes mellitus and CKD and including cancer, HIV and AIDS.
AKI stage is defined by KDIGO criteria: Stage 1 is an increase in inpatient SCr of ≥ 0.3mg/dl but less than twice baseline SCr (or an increase of 1.5 times baseline even if less than 0.3mg/dl); Stage 2 is an increase between 2 and 3 times baseline; and Stage 3 is an increase greater than 3 times baseline or an increase to 4.0mg/dl or greater. Conversion factors for units: SCr in mg/dL to μmol/L, ×88.4.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as < 2 days; 3 to 10 days; and SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
Among the study cohort, 22,646 patients (21.6% of cohort) had available baseline urine albumin measurements. More patients with any abnormal degree of albuminuria (urine albumin:creatinine ratio >30 mg/g; 16.5% of those with urine data) developed AKI compared to those who were tested and had no albuminuria (25.7% vs. 19.1%, p<0.001). When incorporating albuminuria into the regression models, compared to no albuminuria the relative risk for CKD among patients with mild albuminuria (30–300mg/g) ranged from 1.11 (95% CI 1.09–1.13) in stage 1 AKI to 1.39 (95% CI 1.30–1.49) in stage 3. For those with moderate-severe albuminuria (>300mg/g), the relative risk ratios were even higher (Table 5). When examining recovery pattern, overall the relative risk for CKD stage 3 or worse remained very similar to that observed in the primary (modified Poisson regression) model. The observation of increasing risk with longer time to recovery remained strong for stage 1 AKI, but was less clear in stage 2 and 3 AKI, possibly related to a loss in power from the more restricted subgroup.
Table 5:
Adjusted relative risk ratios for the effect of AKI recovery pattern and baseline albuminuria on the development of Stage 3 or higher CKD by one year after discharge from the index hospitalization, among those with baseline albuminuria measurement, stratified by AKI stagea
| Stage 1 AKI | Stage 2 AKI | Stage 3 AKI | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RR | 95% CI | p | RR | 95% CI | p | RR | 95%CI | p | ||||
| AKI by recovery patternb | ||||||||||||
| No AKI | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| ≤ 2 days | 1.40 | 1.32 | 1.48 | <0.001 | 1.85 | 1.30 | 2.64 | <0.001 | 1.80 | 1.33 | 2.45 | <0.001 |
| 3 to 10 days | 2.05 | 1.86 | 2.27 | <0.001 | 1.58 | 1.02 | 2.44 | 0.04 | 1.83 | 1.41 | 2.37 | <0.001 |
| Still elevated after 10 days | 2.33 | 2.10 | 2.59 | <0.001 | 3.00 | 2.32 | 3.88 | <0.001 | 3.48 | 2.96 | 4.10 | <0.001 |
| No SCr measures in 10 days | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- |
| Baseline albuminuria | ||||||||||||
| 0 to <30 | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| 30 to 300 | 1.11 | 1.09 | 1.13 | <0.001 | 1.40 | 1.30 | 1.50 | <0.001 | 1.39 | 1.30 | 1.49 | <0.001 |
| >300 | 1.35 | 1.28 | 1.43 | <0.001 | 1.71 | 1.50 | 1.95 | <0.001 | 1.72 | 1.51 | 1.95 | <0.001 |
Abbreviations: AIDS, acquired immune deficiency syndrome; AKI, acute kidney injury; CKD, chronic kidney disease; CI, 95% confidence interval; eGFR, estimated glomerular filtration rate (using CKD-Epidemiology Collaboration equation); HIV, human immunodeficiency virus; KDIGO, Kidney Disease Improving Global Outcomes; p, p-value; ref, reference group; RR, relative risk ratio; SCr, serum creatinine.
This analysis included all patients who survived 365 days following discharge from index hospitalization who had at least one outpatient measure of urine albumin in the 365 days before the index admission. Because there were too few observations with no SCr measures within the 10 days following inpatient SCr peak to estimate relative risk ratios, these observations were excluded (final sample size=22,432). Separate modified Poisson regression models were used to model the development of Stage 3 or higher CKD [physician diagnosis of CKD, indication of dialysis (diagnosis, procedure, or clinic stop code), transplant (diagnosis) or two follow-up SCr results yielding eGFR < 60 mL/min/1.73m2 at least 90 days apart] for each stage of AKI compared to no AKI.
Each model also included baseline eGFR, age, race, sex, pre-admission diabetes mellitus (defined by the presence of a diagnosis code, hemoglobin A1c > 6.5, serum glucose > 200, or prescription of a diabetes medication in the 365 days before index admission), pre-admission hypertension (defined by the presence of a diagnosis code or prescription for an antihypertensive medication in the 365 days before the index admission), sepsis diagnosis, mechanical ventilation, and length of stay during index admission, and Charlson comorbidity scores, excluding diabetes mellitus and CKD and including cancer, HIV and AIDS.
AKI stage is defined by KDIGO criteria: Stage 1 is an increase in inpatient SCr of ≥ 0.3mg/dl but less than twice baseline SCr (or an increase of 1.5 times baseline even if less than 0.3mg/dl); Stage 2 is an increase between 2 and 3 times baseline; and Stage 3 is an increase greater than 3 times baseline or an increase to 4.0mg/dl or greater. Conversion factors for units: SCr in mg/dL to μmol/L, ×88.4.
AKI recovery classified by the number of days between peak inpatient SCr and the return of SCr to <0.3mg/dl above baseline as < 2 days; 3 to 10 days; and SCr still elevated at 10 days following peak; and no SCr measurement found between peak and 10 days following peak. Both inpatient and outpatient SCr results were used when patients were discharged prior to 10 days following peak.
Discussion
AKI has recently emerged as an important and potentially preventable risk factor for CKD.8, 23 In this large study of a national sample of U.S. Veterans, we confirmed that AKI was an independent predictor for CKD, with nearly a third of AKI survivors having developed CKD by one year follow-up. Importantly, we found this risk to be present even with the mildest forms of AKI, such as stage 1 AKI with fast recovery, which is often considered clinically benign.
Early studies found an increased risk for CKD and ESRD following an episode of dialysis-requiring AKI,4, 24, 25 and subsequent studies have shown a similar association between non-dialysis requiring AKI and later CKD development, even after apparent renal recovery.5, 6, 15, 26 However, few studies have included patients with milder forms of AKI, in part due to reliance on administrative data sources which tend to focus on more severe AKI.14 Using a health system database, Jones and colleagues found that patients with AKI who experienced recovery of renal function to within 10% of baseline creatinine (n=719) had nearly six times the odds of developing CKD when compared to propensity-matched non-AKI controls; about a third of patients in this AKI cohort had mild (stage 1) AKI, but results were not reported separately for this group.5 Bucaloiu and colleagues examined a regional health center database to identify 1610 patients with de novo AKI (defined by at least 50% increase in baseline creatinine) that recovered to within 90% of baseline eGFR by 90 days; these patients had an adjusted HR of 1.91 for development of CKD compared to non-AKI controls.6 Our study builds on these findings by putting a focus on mild and rapidly (within 2 days) reversible AKI, which remains associated with significant risk for CKD development. The relative risk of CKD increased with progressively slower rate of renal recovery, irrespective of AKI stage. Our results were robust, and this relationship was preserved across sensitivity and subgroup analyses. These findings highlight rate of renal recovery as an important novel predictor of renal outcomes. Improved awareness among clinicians of the potential adverse renal outcomes following mild AKI is important as the majority of these patients will not be evaluated by a nephrologist; indeed, hospital chart audits suggest that AKI may not be recognized in many of these patients at all.9
Increased awareness may lead to opportunities to improve outcomes following AKI. However, whether or not the relationship between AKI and CKD is causal remains debated.27, 28 On the one hand, in vitro studies demonstrate a prolonged inflammatory and remodeling response in renal tissues following a transient insult, providing a biologically plausible basis for the transition from AKI to CKD.29–31 Furthermore, the results of this study and others show that severity of AKI appears to predict risk for CKD in a dose-dependent manner.16, 32, 33 Both observations lend support to a potential causal relationship. Importantly, recent studies in animal models of AKI provide optimism for future therapeutic options to mitigate the risk of CKD following AKI.34, 35 On the other hand, mild or transient episodes of AKI in patients with seemingly normal renal function may simply represent an unmasking of subclinical CKD (i.e. decreased renal functional reserve); in this sense, AKI serves as a “failed renal stress test” rather than a causative factor in the development of CKD. In a recent follow-up analysis of a clinical trial comparing on-pump to off-pump cardiopulmonary bypass for patients undergoing coronary artery bypass grafting, despite a significant reduction in AKI events, there was no difference in loss of kidney function at one year.36 Regardless of the nature of the relationship between AKI and CKD, recognition of at-risk patients will allow optimization of preventative strategies such as more aggressive CKD risk factor modification, stricter avoidance of nephrotoxic exposures, and increased renal function monitoring.
Perhaps one of the most surprising findings of this study was the observation that rapidly recovering stage 1 AKI (resolving within 2 days) was associated with a greater than 40% increased risk for CKD compared to non-AKI patients. Such fluctuations in SCr are frequently encountered in the clinical setting and are unlikely to prompt formal involvement of a nephrologist in most cases. Yet our findings are consistent with recent data suggesting that fast recovering, mild AKI in fact may have clinical consequences. Nejat and colleagues demonstrated a release of urinary AKI biomarkers in the setting of clinically determined “pre-renal” AKI, suggesting that injury is occurring and not simply physiologic compensation.37 Similarly, studies in the cardiac literature demonstrate worse long-term survival with even transient AKI compared to no AKI.38, 39 Another consideration is that a decrease (or attenuated rise) in SCr can occur due to fluid administration and/or decreased production secondary to inflammation.40–42 These effects could result in misclassification of AKI cases as non-AKI cases or suggest earlier recovery than is actually occurring. Despite the inherent limitations to relying on SCr concentrations for AKI diagnosis, it is clear that – irrespective of the underlying pathophysiologic relationship – even rapidly reversible rises in creatinine are associated with increased risk for CKD. Clinicians caring for these patients, the vast majority of whom will be non-nephrologists, need to be aware of the high risk for downstream renal outcomes in this subgroup of AKI patients.
In contrast to prior studies, an important strength of this study was the ability to account for baseline albuminuria in a subset of the study population. As reflected in the KDIGO CKD guidelines, proteinuria is an important risk factor for CKD and CKD progression.43 Proteinuria has also gained recognition as an independent risk factor for AKI,44 and thus could be a common element accounting for the association between AKI and CKD. In a population-based study that included 2,234 AKI patients with baseline eGFR ≥60 ml/min/1.73m2, James and colleagues found that AKI was independently associated with ESRD or a doubling of SCr when accounting for overt (dipstick) proteinuria.44 In our analysis, we were able to employ more sensitive definitions of proteinuria (quantitative albuminuria) and CKD (eGFR<60 ml/min/1.73m2) to model CKD risk in a subset of 4586 AKI patients with available urine albumin data. Our results confirm that albuminuria is an independent risk factor for AKI, and this risk increased with higher degrees of albuminuria. While accounting for albuminuria slightly diminished the relative risk of CKD following AKI, overall there remained a strong and independent association between AKI and subsequent CKD risk that increased with slower rate of AKI recovery.
An important limitation of this study is that the VHA database represents a predominantly male population, although our sample contained 5,351 women, 593 of whom experienced AKI. Nevertheless, this database represents one of the only national sources of clinical data, allowing for the study of AKI as defined by consensus criteria; in fact, this study provides an examination of one of the largest cohorts of AKI patients to date. As an observational study, we did not have prescribed follow-up of patients and our results were dependent on availability of follow-up laboratory testing. However, since the VHA is an integrated healthcare system with specific eligibility criteria, we were able to ascertain renal outcomes for the vast majority of patients. We chose to report the primary outcome of CKD as a discrete event by one year follow-up rather than ascertaining a time of onset for CKD because of this heterogeneous laboratory follow-up, making it impossible to pinpoint when a patient developed “incident” CKD. However, when performing time-to-event analysis as a sensitivity analysis, similar results were obtained demonstrating the relationship of increasing CKD risk with longer recovery time from AKI.
This study demonstrates the significant risk for CKD development following an episode of AKI. This risk increases with worsening severity of AKI, as defined by duration of injury and time to recovery, and was present with even the mildest forms of AKI with fast recovery. These results should raise awareness to the potential long-term development of CKD following AKI, the majority of which will continue to be managed by non-nephrologists. Our results support the need for regular follow-up of patients in the period following discharge from the hospital for earlier detection of CKD development, even among those with mild AKI that may have recovered during the hospital stay. Improved recognition of patients at risk for CKD development will facilitate optimal use of preventive measures and risk factor modification. Additional research is also needed to identify approaches to mitigate the risk of transition from AKI to CKD.
Supplementary Material
Acknowledgements
The findings of this study were presented in part as an oral presentation at the American Society of Nephrology Kidney Week 2013, Atlanta, GA.
Support
This project was supported under a cooperative agreement from the CDC, grant U58DP003836. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC or VA. Drs. Pavkov and Williams are employed by the sponsor and had roles in study design and execution as co-authors on this manuscript. This work was supported in part with resources and the use of facilities at the VA Ann Arbor Healthcare Center.
Footnotes
Financial Disclosure
None of the authors have any conflict of interest to disclose. All authors employed by the institution associated with their name on the title page and Dr. Zivin is employed by the University of Michigan in addition to the VA Ann Arbor Healthcare Center.
References
- 1.Susantitaphong P, Cruz DN, Cerda J, et al. World incidence of AKI: a meta-analysis. Clin J Am Soc Nephrol. 2013;8:1482–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hoste EA, Schurgers M. Epidemiology of acute kidney injury: how big is the problem? Crit Care Med. 2008;36:S146–51. [DOI] [PubMed] [Google Scholar]
- 3.Uchino S, Kellum JA, Bellomo R, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA. 2005;294:813–8. [DOI] [PubMed] [Google Scholar]
- 4.Wald R, Quinn RR, Luo J, et al. Chronic dialysis and death among survivors of acute kidney injury requiring dialysis. JAMA. 2009;302:1179–85. [DOI] [PubMed] [Google Scholar]
- 5.Jones J, Holmen J, De Graauw J, et al. Association of complete recovery from acute kidney injury with incident CKD stage 3 and all-cause mortality. Am J Kidney Dis. 2012;60:402–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bucaloiu ID, Kirchner HL, Norfolk ER, et al. Increased risk of death and de novo chronic kidney disease following reversible acute kidney injury. Kidney Int. 2012;81:477–85. [DOI] [PubMed] [Google Scholar]
- 7.Heung M, Chawla LS. Predicting progression to chronic kidney disease after recovery from acute kidney injury. Curr Opin Nephrol Hypertens. 2012;21:628–34. [DOI] [PubMed] [Google Scholar]
- 8.Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012;81:442–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Aitken E, Carruthers C, Gall L, et al. Acute kidney injury: outcomes and quality of care. QJM. 2013;106:323–32. [DOI] [PubMed] [Google Scholar]
- 10.Siew ED, Peterson JF, Eden SK, et al. Outpatient nephrology referral rates after acute kidney injury. J Am Soc Nephrol. 2012;23:305–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Healthy People 2020 topics and objectives chronic kidney disease. U.S. Department of Health and Human Services. http://www.healthypeople.gov/2020/topicsobjectives2020/objectiveslist.aspx?topicId=6. Accessed January 29, 2015.
- 12.Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Workgroup. KDIGO clinical practice guideline for acute kidney injury. Kidney Int. 2012;2:1–138. [Google Scholar]
- 13.Mehta RL, Chertow GM. Acute renal failure definitions and classification: time for change? J Am Soc Nephrol. 2003;14:2178–87. [DOI] [PubMed] [Google Scholar]
- 14.Grams ME, Waikar SS, MacMahon B, et al. Performance and limitations of administrative data in the identification of AKI. Clin J Am Soc Nephrol. 2014;9:682–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mammen C, Al Abbas A, Skippen P, et al. Long-term risk of CKD in children surviving episodes of acute kidney injury in the intensive care unit: a prospective cohort study. Am J Kidney Dis. 2012;59:523–30. [DOI] [PubMed] [Google Scholar]
- 16.Thakar CV, Christianson A, Himmelfarb J, et al. Acute kidney injury episodes and chronic kidney disease risk in diabetes mellitus. Clin J Am Soc Nephrol. 2011;6:2567–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wilson FP, Yang W, Feldman HI. Predictors of death and dialysis in severe AKI: the UPHS-AKI cohort. Clin J Am Soc Nephrol. 2013;8:527–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kizer KW. From the Veterans Health Administration. JAMA. 1996;275(14):1069. [DOI] [PubMed] [Google Scholar]
- 19.Maynard C, Chapko MK. Data resources in the Department of Veterans Affairs. Diabetes Care. 2004;27(suppl 2):B22–6. [DOI] [PubMed] [Google Scholar]
- 20.Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Siew ED, Ikizler TA, Matheny ME, et al. Estimating baseline kidney function in hospitalized patients with impaired kidney function. Clin J Am Soc Nephrol. 2012;7:712–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–6. [DOI] [PubMed] [Google Scholar]
- 23.Chawla LS, Eggers PW, Star RA, et al. Acute kidney injury and chronic kidney disease as interconnected syndromes. N Engl J Med.2014;371:58–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ishani A, Xue JL, Himmelfarb J, et al. Acute kidney injury increases risk of ESRD among elderly. J Am Soc Nephrol. 2009;20:223–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lo LJ, Go AS, Chertow GM, et al. Dialysis-requiring acute renal failure increases the risk of progressive chronic kidney disease. Kidney Int. 2009;76:893–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Amdur RL, Chawla LS, Amodeo S, et al. Outcomes following diagnosis of acute renal failure in U.S. veterans: focus on acute tubular necrosis. Kidney Int. 2009;76:1089–97. [DOI] [PubMed] [Google Scholar]
- 27.Rifkin DE, Coca SG, Kalantar-Zadeh K. Does AKI truly lead to CKD? J Am Soc Nephrol. 2012;23:979–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hsu CY. Yes, AKI truly leads to CKD. J Am Soc Nephrol. 2012;23:967–9. [DOI] [PubMed] [Google Scholar]
- 29.Zager RA, Johnson AC, Becker K. Acute unilateral ischemic renal injury induces progressive renal inflammation, lipid accumulation, histone modification, and “end-stage” kidney disease. Am J Physiol Renal Physiol. 2011;301:F1334–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Clements ME, Chaber CJ, Ledbetter SR, et al. Increased cellular senescence and vascular rarefaction exacerbate the progression of kidney fibrosis in aged mice following transient ischemic injury. PLoS One. 2013;8:e70464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Basile DP, Leonard EC, Tonade D, et al. Distinct effects on long-term function of injured and contralateral kidneys following unilateral renal ischemia-reperfusion. Am J Physiol Renal Physiol. 2012;302:F625–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chawla LS, Amdur RL, Amodeo S, et al. The severity of acute kidney injury predicts progression to chronic kidney disease. Kidney Int. 2011;79:1361–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ishani A, Nelson D, Clothier B, et al. The magnitude of acute serum creatinine increase after cardiac surgery and the risk of chronic kidney disease, progression of kidney disease, and death. Arch Intern Med. 2011;171:226–33. [DOI] [PubMed] [Google Scholar]
- 34.Barrera-Chimal J, Perez-Villalva R, Rodriguez-Romo R, et al. Spironolactone prevents chronic kidney disease caused by ischemic acute kidney injury. Kidney Int. 2013;83:93–103. [DOI] [PubMed] [Google Scholar]
- 35.Bao H, Ge Y, Wang Z, et al. Delayed administration of a single dose of lithium promotes recovery from AKI. J Am Soc Nephrol. 2014;25:488–500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Garg AX, Devereaux PJ, Yusuf S, et al. Kidney function after off-pump or on-pump coronary artery bypass graft surgery: a randomized clinical trial. JAMA. 2014;311:2191–8. [DOI] [PubMed] [Google Scholar]
- 37.Nejat M, Pickering JW, Devarajan P, et al. Some biomarkers of acute kidney injury are increased in pre-renal acute injury. Kidney Int. 2012;81:1254–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wi J, Ko YG, Kim JS, et al. Impact of contrast-induced acute kidney injury with transient or persistent renal dysfunction on long-term outcomes of patients with acute myocardial infarction undergoing percutaneous coronary intervention. Heart. 2011;97:1753–7. [DOI] [PubMed] [Google Scholar]
- 39.Choi JS, Kim YA, Kim MJ, et al. Relation between transient or persistent acute kidney injury and long-term mortality in patients with myocardial infarction. Am J Cardiol. 2013;112:41–5. [DOI] [PubMed] [Google Scholar]
- 40.Prowle JR, Kolic I, Purdell-Lewis J, et al. Serum creatinine changes associated with critical illness and detection of persistent renal dysfunction after AKI. Clin J Am Soc Nephrol. 2014;9:1015–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Liu KD, Thompson BT, Ancukiewicz M, et al. Acute kidney injury in patients with acute lung injury: impact of fluid accumulation on classification of acute kidney injury and associated outcomes. Crit Care Med. 2011;39:2665–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Doi K, Yuen PS, Eisner C, et al. Reduced production of creatinine limits its use as marker of kidney injury in sepsis. J Am Soc Nephrol. 2009;20:1217–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guidelines for the evaluation and management of chronic kidney disease. Kidney Int. 2013;3(Suppl):1–150. [Google Scholar]
- 44.James MT, Hemmelgarn BR, Wiebe N, et al. Glomerular filtration rate, proteinuria, and the incidence and consequences of acute kidney injury: a cohort study. Lancet. 2010;376:2096–103. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

