Introduction

Progress in pediatric acute kidney injury (AKI) knowledge generation has been vast over the last two decades, including expanding epidemiology, understanding AKI pathophysiology and its long-lasting consequences, as well as risk prediction in children and novel biomarker use [1,2,3,4,5,6,7,8,9,10]. This progress has set a solid foundation on which to build future work, with the goal of improving global child AKI health outcomes [11].

Underpinning many of the current priorities identified for pediatric AKI research, education, practice, and advocacy [11] is the hypothesis that a direct or indirect causal relationship exists between AKI events and AKI related sequelae. It is the hope that preventing or mitigating the severity of AKI will improve outcomes that drives interventional and quality improvement strategies. One of the most fundamental questions to consider as we use previous epidemiological information to advance research and care paradigms is the strength of this causal link between pediatric AKI and previously evaluated health outcomes. Although individual studies may suggest a causal link between pediatric AKI and a limited scope of short-term outcomes [12, 13], multidisciplinary experts in this field agree that associations demonstrated in one study cannot imply causality, and a broader view synthesizing multiple sources of information is required to bridge pediatric AKI knowledge gaps, including the causal relationship with outcomes [10].

As with other epidemiological data, causal assessment mechanisms can be applied to the current body of pediatric AKI literature to interrogate the relationship between events and outcomes. One of the fundamental mechanisms to achieve this is the Bradford Hill criteria. These criteria, which have served as a foundation for causal assessment since their initial publication in 1965 [14], consider nine specific viewpoints (Fig. 1): plausibility, temporality, strength of association, specificity, analogy, experimentation, coherence, biological gradient, and consistency. In the assessment of underlying causal relationships in epidemiologic evidence, these criteria have been favorably compared with more modern approaches such as directed acyclical graphs, sufficient-component cause models, and the GRADE methodology (grading of recommendations, assessment, development, and evaluation), with significant overlap across the methods [15]. This underscores the enduring importance of the Bradford Hill criteria and is consistent with the available literature which demonstrates that these nine viewpoints account for the most relevant causal considerations [15, 16].

Fig. 1
figure 1

Bradford Hill’s considerations for causality inference in observational associations

The following review applies the foundational framework of the Bradford Hill criteria to evaluate the extent to which a causal link exists between AKI and the associated adverse outcomes in children (see summary Tables 1 and 2). The analysis will focus on strength of association, consistency, biological gradient, plausibility, temporality, and experimentation as evidence suggests that the viewpoints of coherence, analogy, and specificity may have limited usefulness in modern causal assessment [15]. In addition, given how widely used the GRADE approach is in assessing quality of evidence and grading strength of healthcare recommendations, and is an approach that has adopted most of Bradford Hill’s criteria [17], we have considered these Bradford Hill viewpoints within the GRADE framework (see Tables 1 and 2).

Table 1 Bradford Hill’s considerations for pediatric AKI–negative short-term outcome causality inference
Table 2 Bradford Hill’s considerations for pediatric AKI–CKD causality inference

Strength of association and consistency

The stronger an association or correlation is between two variables, the more suggestive it is of a cause/effect relationship. The strength of association between pediatric AKI and short term, in-hospital outcomes strengthens the contention of a causal relationship. Recently, large observational cohort studies have demonstrated that AKI in pediatric critical care populations is strongly associated with poorer hospital outcomes. The Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates (AWAKEN) [1] study which evaluated more than 2000 neonates with a variety of admission diagnoses, across a wide range of gestational ages, from multiple centers and countries, found that neonates with AKI had four times higher odds of death even after adjusting for severity of illness and other factors; neonates with AKI additionally experienced longer hospital lengths of stay (5 days longer). Another large (n = 4 683) multicenter, multinational study in children and young adults, the Assessment of Worldwide Acute Kidney Injury, Renal Angina, and Epidemiology study (AWARE), demonstrated that AKI is independently associated with increased mortality, length of ICU stay, and duration of mechanical ventilation; severe AKI conferred an increased risk of 28-day mortality with an adjusted odds ratio (OR) of 1.77 (95% confidence interval (CI), 1.17–2.68) [2]. The strength of the association is further supported by a recent cohort study of over 1000 children admitted to an ICU in whom severe AKI was associated with greater PICU mortality (adjusted OR, 11.93; 95% CI 4.68–30.42), as well as longer ventilation time and length of stay [18]. Large registry data of children on extracorporeal membrane oxygenation (ECMO) reinforce this causal inference as it demonstrates an association between AKI and mortality of clinically important magnitude which remains statistically significant after adjusting for the multifactorial nature of illness [19]; adjusted OR for mortality following AKI was 3.2 (p < 0.0001) and 1.7 (p < 0.001) in the neonatal and pediatric cohorts respectively. It is important to note that older and smaller studies have shown similar findings [20,21,22,23,24] and that this viewpoint is supported by adult data. In a recent pooled analysis, using random effects modeling, Girling et al. estimated a 2.3-fold increase in the adjusted risk of death in critically ill adults attributable to AKI, which was statistically significant. Even the lower estimate bound suggested a 30% increased risk of death, which is clinically meaningful given the high prevalence of AKI [25]. In sum, the observed effect of pediatric AKI on short-term survival, hospital stay, and ventilation time is strong and persists after adjusting for potential confounding effects, supporting a causal link between AKI and inferior outcomes as well as the hypothesis that prevention of AKI events could influence outcomes.

Hill’s consistency criterion is upheld when multiple epidemiological studies show a consistent association despite varying populations, epidemiological methods, and locations. Indeed, studies across varied cohorts of children and heterogeneous study populations consistently show that AKI is independently associated with mortality, length of stay, and/or duration of mechanical ventilation. The association is seen in neonates (including low birth weight newborns) and older children, in cardiac and non-cardiac surgical populations, in sepsis and other infectious diseases, in hypoxic ischemic encephalopathy (HIE), ECMO, children with cancer, and following snake envenomation and nephrotoxic medication exposure [1, 2, 19,20,21,22,23,24, 26,27,28]. This consistent association is also seen across adult cohorts [25]. The association between pediatric AKI and adverse in-hospital outcomes is also seen when different study designs are used, when controlling for different potentially confounding variables, when examining hospital and community acquired disease, and regardless of whether illness severity scoring includes kidney function criteria [1, 2, 29, 30]. While several consensus definitions of pediatric AKI have been employed over the last two decades, it has been shown, including in a study of almost 150,000 pediatric hospitalizations, that mortality is independently associated with AKI regardless of the definition used [26]. Finally, the independent association between hospital acquired AKI and mortality is seen across different geographical locations around the world and in studies including low-income countries, although this data is not specific to pediatrics [31].

When evaluating the consistency of the relationship between AKI and poorer outcomes, it is important to note that not all AKI is associated with poorer outcomes. Indeed, Sutherland et al. found that while AKI was associated with mortality in ICU settings, this was not true outside of the ICU despite the distribution of AKI severity appearing similar across the two populations [26]. While this might, at first glance, suggest inconsistency, we believe this highlights the fact that AKI is a clinical syndrome due to varying underlying pathophysiological processes; it is increasingly recognized that there exist different AKI phenotypes which behave differently, and we should not consider all AKI as equivalent in our causal thinking. Furthermore, these AKI phenotypes exist in various pathophysiologic conditions and the causal impact of AKI is of a continuous, rather than dichotomous nature; while AKI may increase the risk of poor outcomes in all populations, the underlying risk for those outcomes varies across populations and patients.

Although most of our current epidemiological understanding of pediatric AKI’s outcome effects relates to short-term outcomes, pediatric AKI has been implicated for a while as a risk factor for the development of CKD [32,33,34,35]. Before this association can be presumed to represent a causal relationship, it is important to assess the strength and consistency of the association. Greenberg et al. systematically reviewed the data available prior to 2014 and found that defining the magnitude and significance of the association between long-term risk of CKD and mortality in children after AKI was problematic; there were ten small cohort studies with a combined total of only 346 patients, variable definitions of AKI were used, there was no comparator group without AKI in any of the published studies, and disparate outcomes were investigated [36]. Similar limitations are seen in a review of older neonatal data evaluating AKI and long-term kidney outcomes [32]. Fortunately, these issues have been less prevalent in more recent studies. A narrative review by Hessey et al. identified eleven studies between 2015 and 2019 examining the association between PICU-AKI and hypertension, proteinuria, and CKD [37]. Four of these studies examined the association of CKD following AKI in general PICU cohorts [38,39,40,41]. Patients had mixed illness etiologies and methodologies varied from outcome studies to analyses of administrative datasets. Follow-up time across these studies varied from 2 to 6 years, as did the methods of defining outcomes. However, consistently across all studies, children with PICU-AKI were at higher risk of developing hypertension, proteinuria, and/or CKD; generally, over twice the risk of CKD or hypertension was observed. Six studies in this review reported long-term kidney outcomes following PICU-AKI exclusively in subjects who underwent cardiac surgery [5, 42,43,44,45,46] and one study evaluated children with heart or liver transplant [47]. The strength of the association was variable and not consistent amongst these cohorts. Although the majority of studies looking at the association between pediatric and CKD are based on ICU cohorts, there is some evidence from the non-critical care setting. Menon et al. performed a retrospective cohort study of children with high nephrotoxic medication exposure in a non-critical care setting and found that at 6-month follow-up, the AKI cohort had significantly lower eGFR and a higher prevalence of proteinuria and hypertension; patients with nephrotoxic-associated AKI had almost fourfold higher risk of developing CKD compared with controls [48]. In sum, when applying these fundamental tenets of causal assessment to the extent to which pediatric AKI may be causative in adverse long-term outcomes, there is currently some support but too much divergence and not enough epidemiology to definitively infer causation.

Importantly, observed divergence in the data this far does not necessarily undermine a causal relationship. Similar to observations in short-term outcomes, all AKI does not need to be considered equivalent in our causal thinking; determining the target population to which the results are intended to generalize needs to be a critical decision, for which enough evidence does not yet exist. Larger studies, with more diverse populations, looking at the heterogeneity of exposure effects, effect modification, and the transportability of the causation paradigm between different populations to further elucidate consistency need to be done.

There are additional limitations present in the published evidence that need to be recognized when thinking about strength of association and consistency within this causative framework. Given the nature of AKI and the outcomes being evaluated, factors that may confound the relationship are difficult to eliminate. However, if there is appropriate, reliable, and valid measurement of confounding variables, confounding may be controlled. Confounding variables in the AKI to short-term outcomes relationship are fairly well established and recent large pediatric studies have used appropriate methods to control for such confounders [1, 2, 18, 19]. The viewpoint of strength of association within the AKI to CKD paradigm should also be framed in terms of the effects of confounding; however, relevant and appropriate adjustments for confounding variables are yet to be established. Additional limitations are particularly relevant to the longer term outcome of CKD. Pediatric evidence existing to date still pertains to a limited sample size and given the increasingly recognized heterogeneity in AKI phenotype, this places constraints on the granularity of the associations that can be assessed. In addition, in the absence of definitive knowledge regarding other baseline CKD risk factors, for example, the presence or absence of congenital kidney abnormalities in the majority of studies, larger sample sizes, and population-based studies are critically important. Lastly, given the retrospective nature of many studies and the varied follow-up practice of children with AKI, bias may create challenges in determining true associations.

Biological gradient

A biological gradient is a relationship between the severity of an exposure and the magnitude of its outcome. Greater exposure to a causative factor or condition should generally lead to greater incidence of the effect. In traditional epidemiology, a monotonic, linear, biological gradient was thought to provide the clearest evidence of a causal relationship. However, it is now acknowledged that this view is an overly simplistic representation of most causal relationships [14, 16]. In the largest multicenter, multinational pediatric cohort study performed to date, a stepwise increase in AKI severity conferred an incremental risk of death, longer ICU stay, and longer duration of ventilation, after adjusting for illness severity [2]. In neonates, similar observations have been made, with higher AKI stages associated with worse outcomes [1]. Although a classic dose response relationship with mortality was not observed in the AWAKEN study at the lower stages of AKI, severe AKI had higher mortality than less severe, and length of stay did have an incremental dose–response relationship with AKI severity [1]. Support for the viewpoint of a biological gradient can also be drawn from studies that define “dose” outside the confines of the currently accepted three-stage AKI severity classification. When pediatric AKI severity is scored from 1 to 6 by combining the serum creatinine and urine output-based stages, a progressive increase in mortality and ICU length of stay is seen as this composite AKI score increases [49]. AKI of longer duration (i.e., persistent vs. transient) is associated with increased risk of mortality, longer duration of ventilation, and longer hospital stay [18]. Additionally, intra-patient progression of AKI severity is associated with higher risk of poor outcomes [50]. Repeat episodes of AKI during the same admission are associated with worse outcomes in children, including increased mortality, longer length of hospital stay, and longer ventilation time [51]. Adult epidemiology also supports the viewpoint that adverse outcomes increase with increasing AKI severity [25, 52]; in the largest adult study of over 300,000 patients, a clear stepwise gradient across AKI stages was observed which was statistically significant between all groups [30]. Overall, data support the presence of a biological gradient between the severity of AKI and the magnitude of short-term negative outcomes.

It is tempting to look for a biological gradient in the association between pediatric AKI and longer term kidney outcomes; however, the paucity of epidemiological data makes this challenging. That said, early evidence does suggest that such a gradient exists. Benisty et al. [39] evaluated a prospective cohort of children 6 years after PICU admission and found that any AKI and severe AKI (stage 2 or 3) were associated with a 2.2 (95% CI 1.1–4.4) and 6.6 (95% CI 1.5–28.3) higher adjusted OR for CKD and pre-hypertension or worse, respectively (n = 277). This incremental increased risk of negative long-term kidney outcome with increased severity of AKI was also observed in a larger study (n = 1978) of children using multicenter administrative data [40]. Given that in many studies children with dialysis-treated AKI (i.e., most severe) are under-represented, Robinson et al. performed a large population-based retrospective-matched cohort study of dialysis-treated AKI survivors [3]. They found that pediatric dialysis-treated AKI survivors were at significantly increased long-term risks of kidney failure, death, CKD, and hypertension, versus hospitalized comparators. At > 5 years post-discharge, dialysis-treated AKI survivors were at increased risk of MAKE (major adverse kidney events), defined as a composite of all-cause mortality, kidney failure, or de novo CKD (adjusted HR 1.89; 95% CI 1.31–2.73) [3]. Many adult studies have also described the association between AKI and progression to CKD and meta-analysis of such studies has demonstrated that not only is there a strong association between AKI and the development of CKD, but the risk of CKD increases in a graded fashion with AKI severity [53]. In adults, trying to understand the relationship between AKI and CKD has been quite complex, with an argument made that the magnitude of the risk and gradient across stages likely depends on the residual kidney function, premorbid conditions, and repair capacity after kidney stress [54]. However, in a large diabetic cohort, in-hospital AKI increased the risk for stage 4 CKD (hazard ratio (HR), 3.56; 95% CI 2.76–4.61), and importantly, when considering causation criteria, each episode of AKI doubled the risk. These observations occurred independent of other major risk factors of progression, including baseline kidney function, comorbidities, and proteinuria. Thus, while there is a paucity of data exploring the biologic gradient between AKI and long-term kidney outcomes in children, the studies currently available and those in adults do suggest that there is a dose response relationship between AKI severity and chronic kidney sequelae.

Plausibility

A biologically plausible mechanism of action linking exposure and effect strengthens the argument for causality. Although plausibility is a component of the framework for causal inference in epidemiologic studies, this viewpoint is complex as it implies data integration of non-epidemiological studies and necessitates the incorporation of our current biologic understanding. There is an evolving recognition that there is variation in the nature of AKI at the genetic, molecular, and cellular level, implying that more than one biological model underpins the link between AKI and its associated outcomes. Furthermore, although causal inference historically was based upon the assumption of single-factor direct relationships, it is now understood that the interplay between multiple factors determines disease outcomes. As such, demonstrating the biological plausibility of a causal relationship can be complex.

A simplistic view of the pediatric AKI exposure to adverse in-hospital outcome paradigm is that the established AKI sequelae including uremic toxin accumulation, metabolic acidosis, hyperkalemia, and fluid overload are accepted mechanisms of mortality and morbidity. Epidemiological data support this rationale, with a large proportion of the excess risk of negative short-term outcomes attributable in statistical modeling to metabolic and fluid related complications [55]. However, correction of these sequelae via supportive therapy does not eliminate risk [55], likely because such therapies do not correct the underlying pathophysiology. Over the last decade, the concept of organ cross-talk during kidney injury has evolved and cellular adhesion molecules, lymphocyte trafficking, generation of oxidative stress, endothelial injury, and release of pro-inflammatory cytokines and chemokines have been cited as mechanisms of remote organ injury and modification of immune response systems [56,57,58,59]. Clinical and experimental findings have illuminated a complex but plausible exposure-to-effect paradigm for the causal relationship between AKI and the negative short-term outcomes observed.

There is increasing understanding of the biological plausibility for longer term kidney outcomes as well. Nephron loss, cell cycle arrest, endothelial injury, maladaptive repair mechanisms, inflammation, mitochondrial dysfunction, and epigenetic changes have all been identified as possible mechanisms of an AKI to CKD transition [60,61,62,63,64]. A mechanistic gap that has existed in the AKI to CKD paradigm is the explanation of how a transition can occur from AKI to CKD after functional recovery from injury has occurred. This gap is being addressed by the field of epigenetics; epigenetic memory is the ability of cells to retain and transmit changes in gene expression patterns induced by preceding environmental stimuli to their daughter cells [65, 66]. It is well recognized now that acutely acquired epigenetic alterations can predispose one to late-onset diseases [67]. It is biologically plausible that the “memory” of AKI leads to CKD. In the last decade, there has been a tremendous amount of basic science work demonstrating epigenetic alterations induced by AKI; although, there is currently insufficient data available on the retained epigenetic modifications (“epigenetic memory”) of AKI that may contribute to the progression to CKD [68]. Hill’s plausibility criterion requires that the association between AKI and CKD be explained in the presence of existing biological models, with causation being a continuum from highly unlikely to highly likely. Given the current evidence, it is likely that epigenetic alterations that cause pro-regenerative phenotypic changes during injury repair maladaptively remain in response to severe or repetitive insults, leading to progressive tubulointerstitial fibrosis.

The viewpoint of biological plausibility strongly supports the exposure-to-effect paradigm for AKI and CKD; however, there are concepts identified in adult populations which introduce some uncertainty. Some potential problems with regard to plausibility include the shared risk factors between AKI and CKD, the possibility of misclassification of AKI as a discrete event rather than progression of pre-existing kidney disease, and misclassification of outcome (de novo CKD versus CKD progression). Importantly, pediatric research and clinical epidemiology may be the key to addressing these concerns as the ideal biologic plausibility model for causality requires that healthy individuals sustain AKI to assess whether there is de novo chronically sustained disease of the kidney.

Temporality

For an exposure-outcome relationship to be causal, there must be a temporal progression between the two measures; the alleged effect must follow the suspected cause and not the other way around. In addition, the biologically plausible mechanism linking the two must fit within this time course. When making a causal assessment of the in-hospital outcomes following pediatric AKI, the temporal sequence supports causation. AKI comes before death, extubation, and discharge; the AKI exposure occurs early in the course. In the AWAKEN study, AKI occurred most commonly in the first week of life and the majority of mortality occurred in the first 50 days of hospital admission [1]. In the general ICU pediatric population, persistent AKI is most likely to have its onset within 24 h of PICU admission and is associated with longer ventilation and hospital length of stay [69]. The biological mechanisms discussed above fit appropriately within time frames reported for outcomes in the epidemiological literature.

In pediatrics, temporality is perhaps the easiest of the viewpoints to satisfy in evaluating the relationship between AKI and the long-term outcome of CKD. Most if not all studies in children exclude subjects with baseline kidney disease and the prevalence of CKD in the pediatric population is low relative to adult cohorts. In the current pediatric studies, which demonstrate an association between AKI exposure and long-term kidney outcomes, the temporal progression from exposure to outcome is persuasive in causal inference [1, 2, 19,20,21,22,23,24, 26,27,28].

Experimentation

Evidence drawn from experimental manipulation may lead to strong support for causal inference. It is important to note however that in causal assessment, a hierarchical or weighted interpretation of the different viewpoints was not the intended purpose [14]. Evidence from randomized controlled trials (RCTs) is often considered to provide a higher level of certainty in establishing causation than evidence from other epidemiological studies, although the accuracy of this has been critiqued [70]. No RCTs in children have evaluated the manipulation of AKI through a viable preventive strategy and its association with patient outcome, thus causal association cannot be supported in this way. However, this raises the question of whether an RCT in pediatric AKI is necessary to allow for causal inference. It is simplistic to conclude that an RCT designed to show a causative relationship between higher AKI and mortality, for example, by manipulating the AKI exposure with an intervention will result in absolute certainty. It is very likely, however, that we will still not be able to discern with certainty if the changes in outcome are due to the prevention of AKI or to some other effect of the intervention. There need not be an a priori conviction that observational studies and the other causal thinking viewpoints are inferior to RCTs; each method should be considered as capable of providing relevant information. For long-term outcomes, it is even less likely that RCTs will be able to help demonstrate a causal association for AKI. Pediatric RCTs for long-term outcomes, with experimental manipulation of AKI events, will be prohibitively expensive, unrepresentative, time-limited, and subject to significant co-intervention over time, making relationships difficult to evaluate. In the absence of randomization however, confidence that the initial conditions before or at the time of AKI are identical in the AKI-exposed and non-exposed group is challenged; there may be risk factors that are common to both AKI predisposition and CKD predisposition that explain the association, which is particularly troublesome in adult studies [71]. Most AKI studies in children however involve a previously healthy population, where risk factors for CKD present before AKI are far less common than in adults.

Although no RCTs have yet evaluated the outcome effects of experimental manipulation of AKI occurrence in children, there is some evidence that mitigating established AKI sequelae may change outcomes, providing surrogate information that preventing AKI could modify outcomes. Earlier intervention in children to manage the fluid complications of AKI has been observed in some studies to improve in-hospital outcomes. Goldstein et al. demonstrated that implementation of a clinical decision support tool aimed at risk stratifying young ICU patients at high risk of AKI and guiding management of AKI complications (fluid overload) may result in shorter length of ICU [72]. Kwiatkowski et al. demonstrated that elective placement of a peritoneal dialysis catheter for fluid balance management at the time of surgery in infants undergoing cardiac surgery determined to be high risk for AKI, resulted in earlier time to negative fluid balance and was associated with earlier extubation, improved inotrope scores, and fewer electrolyte imbalances [73]. A small (n = 22) RCT of neonates undergoing Norwood procedure did not replicate this improvement in outcomes; however, time to negative fluid balance was the same between intervention and control group [74]. A very recent systematic review of both observational and RCT data looking at early peritoneal dialysis catheter placement in children undergoing cardiac surgery and effect on outcomes demonstrated that there is currently significant heterogeneity in the evidence [75]. Pooled analysis showed no association between prophylactic PD catheter placement and in-hospital mortality, and there were mixed results for ICU length of stay, with some studies showing shortened duration associated with use of prophylactic PD catheter insertion and others showing no difference [75]. Assessment of fluid complications also showed variable results, which, when combined with the high risk of bias for many of the studies, highlights that the interventional or experimental data in pediatrics regarding the effect of mitigating established AKI sequelae on outcomes is currently inconsistent.

Adult data is starting to lend some support to causal inference from the viewpoint of experimentation. Early biomarker-based prediction of imminent AKI followed by implementation of the KDIGO care bundle (early optimization of fluid status, maintenance of perfusion pressure, discontinuation of nephrotoxic agents) in cardiac surgery patients was shown to reduce the incidence and severity of AKI, however was not adequately powered to demonstrate changes in short-term outcomes [76]. Subsequently, in a large multicenter RCT, similar risk-based implementation of the same care bundle reduced AKI severity and postoperative creatinine increase and also decreased length of ICU and hospital stay after major noncardiac surgery [77]. Ongoing generation of evidence drawn from experimental manipulation of AKI and its complications in both adults and children may further strengthen support within causality assessment.

Specificity, analogy, and coherence

The evaluation of causality thus far has focused on strength of association, consistency, biological gradient, plausibility, temporality, and experimentation, as evidence suggests that the viewpoints of specificity, analogy, and coherence may have limited usefulness in modern causal assessment [15]. According to the Bradford Hill viewpoints, a relationship is specific if the exposure is associated with the outcome in question and no others, and if the outcome is associated with the exposure in question and no others. It is emphasized in the application of causality frameworks that a non-specific relationship does not undermine causality. This is because specificity is rare in epidemiology; in human health and disease, including AKI, multiple causations (where one exposure may affect many outcomes and one outcome may be affected by many exposures) limit the utility of directly applying specificity in epidemiological practice. The application of the analogy consideration is equally limited in its utility [15, 78]. Hill implied that in some circumstances it is fair to judge causality by analogy whereby prior knowledge and patterns can be used to infer similar causal associations. In this time of vast and accessible knowledge, even with just slight creativity, analogy could be identified for every situation and the importance has likely been diluted since the inception of these criteria. Although it may engender a sense of credibility through the resemblance of other accepted truths, analogy is not necessary in arguing causation [16], and we have therefore declined to include it in this assessment of causal strength. Finally, coherence is the assessment of how a putative relationship fits into existing theory and empirical evidence and is poorly delineated from plausibility [15]. A causal conclusion should not fundamentally contradict present substantive knowledge. In current day epidemiology, studies examining AKI and outcomes essentially emerge from existing theory; hence, it is not a viewpoint that is helpful in establishing causality.

Conclusions

Available data in children support a causal link between AKI and a limited scope of short-term outcomes including mortality, length of stay, and ventilation time. This is based upon the viewpoints of strength of association, consistency of findings, temporality, presence of a biologic gradient, and plausibility, and supports the hypothesis that prevention and mitigation of AKI is likely to improve early outcomes in children.

Insufficient data currently exists to demonstrably state that a causal relationship exists between AKI and longer term health outcomes. Clarifying the causal nature of longer term associations requires further high-quality observational studies in children (with relevant comparator cohorts and much larger study samples), careful consideration of what defines the most meaningful and measurable longer term outcomes after pediatric AKI, and integration of evolving biological data related to mechanisms of disease. In evaluating the AKI to CKD paradigm within a causal framework, it will be important to understand which children are at risk of both AKI and CKD. In addition, to better establish temporal progression, the metrics for ongoing injury and repair need to evolve as does the identification of optimal follow-up time.

Epidemiological evidence surrounding the causative link between AKI and CKD in the population is imperfect and complex. Two things are of paramount importance to move this field forward. First is to focus on pediatric AKI. The previous belief that AKI in children has negligible health impact [71] and has been discarded due to the evidence which has accumulated over the last decade. More importantly, children provide a unique opportunity to evaluate the AKI to CKD transition because they do not have the underlying comorbidities that make adult epidemiology so complex. Second, biological plausibility is an increasingly important criterion in evidence-based decision-making related to AKI as evidence will likely continue to come from observational rather than controlled studies. There needs to be further elucidation of molecular and cellular mechanisms involved in maladaptive recovery and repair processes underpinning the AKI to CKD paradigm.

It is important to note that when the Bradford Hill criteria first emerged, mechanistic connections between exposure and disease were not well understood and traditional epidemiological studies treated the connection between exposure and disease/outcome as a “black box.” We now have new and more diverse types of information beyond the traditional epidemiologic study designs that were available when Hill Criteria were first written. It is therefore important not to take a singular approach but to incorporate data from a multitude of sources to answer this question. Researchers can now evaluate the causal relationship by illuminating various mechanistic points along the exposure-to-effect paradigm, creating a consistent story across multiple disciplines including in vitro studies, animal models, and molecular experimentations [16]. In addition, although we have used the Bradford Hill viewpoints to frame our causal thinking here, it is important to consider that over time, new approaches are evolving, such as complex systems dynamic methods, which can integrate our growing knowledge and integrate a life course perspective and may offer a solutions to some of the challenges AKI epidemiology faces in the realm of causal thinking [79].

In summary, when evaluating the current pediatric AKI epidemiological data in the context of causal inference, the picture is far from complete (Fig. 2). The causative pathway from AKI to negative outcomes is likely non-linear, and different aspects including etiology, patient characteristics, and healthcare context, will affect causative trajectories during childhood. We may find that it is important to incorporate the concept of Reversibility into more traditional causal analysis frameworks. Preventing or mitigating AKI, assuming a causal relationship with negative outcomes, should lead to improved outcomes. Demonstrating this will solidify confidence in the causal relationship, improve child health, and highlight an aspect which is highly relevant to clinicians, scientists, and policy makers. Perhaps most importantly, questions need to be asked regarding what the most meaningful outcomes are and to whom, as well as how to best measure these outcomes. Else, proving causality is of little importance.

Fig. 2
figure 2

Cumulative contribution of foundational viewpoints and novel information to causal inference in the AKI to negative health outcome paradigm. The causative pathway from AKI to negative outcomes is non-linear with AKI etiology, patient characteristics, and healthcare context affecting the causative trajectory. A causal link between AKI and a limited scope of short-term outcomes including mortality, length of stay, and ventilation time is supported by the viewpoints of strength of association, consistency of findings, temporality, presence of a biologic gradient, and plausibility. There is a need to incorporate the concept of reversibility as well as mechanistic points along the exposure-to-effect paradigm, and create a consistent story using in vitro studies, animal models, and molecular experimentation to be able to extend causative thinking further towards long-term outcomes. AKI, acute kidney disease; CKD, chronic kidney disease