Abstract
Backgrounds
Neutrophil-to-lymphocyte ratio (NLR), a surrogate marker of systemic response to physiological stress, is used for prognosis prediction in many diseases. However, the usefulness of this marker for predicting acute kidney injury (AKI) progression is unclear.
Methods
This retrospective study was based on the Chang Gung Research Database. Patients admitted to the intensive care unit with a diagnosis of stage 1 or 2 AKI were identified. The primary outcome was a composite of progression to stage 3 AKI, requirement of renal replacement therapy, or 14-day in-hospital mortality. The association between NLR and the primary outcome was examined using a logistic regression model and multivariable analysis. The nonlinearity and cutoff points of this relationship were determined using a restricted cubic spline model.
Results
A total of 10,441 patients were enrolled. NLR level at the time of stage 1–2 AKI diagnosis was a marker of adverse outcomes. After adjustment for confounders, NLR was independently associated with the composite outcome of AKI progression, renal replacement therapy, or mortality. The restricted cubic spline model revealed a J-shaped curve, with the lowest odds ratio for an NLR between 7 and 38. Subgroup analysis revealed linear and J-shaped relationships between NLR and the primary outcome in patients admitted to the intensive care unit for medical reasons and for cardiovascular surgery, respectively.
Conclusions
NLR is an independent marker of AKI progression and in-hospital mortality. Because it is readily available in daily practice, it might be used for risk stratification in the AKI population.
Graphic abstract
Supplementary Information
The online version contains supplementary material available at 10.1007/s40620-021-01162-3.
Keywords: AKI, NLR, Outcome, Prediction
Introduction
Acute kidney injury (AKI) is a common complication among patients admitted to the hospital. The incidence of AKI in critical illness is 20–50%, and the condition has a high mortality rate [1]. The incidence of severe AKI requiring dialysis has increased in recent years [2]. Because of the high rates of morbidity and mortality associated with AKI, many studies have investigated the potential of novel biomarkers in early diagnosis or risk stratification [3–9]. However, the methods for measuring most biomarkers are expensive and might not be suitable in daily practice. The furosemide stress test, a cheap and readily available functional test, has shown promise in AKI progression prediction [10–12]. Neutrophil-to-lymphocyte ratio (NLR), which can be readily measured in daily clinical practice, is calculated using the complete blood count. It is a surrogate marker of systemic response to physiological stress. NLR is associated with adverse outcomes in many diseases [13–19] and can help in early predicting AKI [20–22]. In a study of 10,859 patients admitted to an intensive care unit (ICU), Zheng et al. [23] noted that platelet-to-lymphocyte ratio, an inflammatory marker similar to NLR, exhibited a U-shaped relationship with mortality in patients with critical illness and AKI. Some studies have reported contradictory results regarding the linear relationship between NLR and outcomes [13, 14, 18, 24]. Furthermore, whether NLR could serve as a predictive marker of AKI progression remains unclear.
Therefore, we explored the ability of NLR to predict AKI progression and the association between NLR and adverse outcomes through nonlinear statistical analysis.
Materials and methods
Data source
This retrospective study was based on electronic data from the Chang Gung Research Database (CGRD). The Chang Gung Medical Foundation is the largest medical system in Taiwan and comprises seven hospitals across Taiwan. The CGRD is a multi‐institutional electronic medical record system containing detailed clinical information, such as laboratory examination results, hemodynamic records, and physical examination records. The CGRD exhibits high overall and disease-specific coverage in Taiwan, and the data have been validated [25, 26]. Disease diagnoses in the database before 2015 are based on International Classification of Diseases, Ninth Revision, Clinical Modification codes, and those after 2016 are based on International Classification of Diseases, Tenth Revision, Clinical Modification codes. This study was approved by the Institutional Review Board of Chang Gung Memorial Hospital (IRB No.: 202000915B0). The need for individual consent was waived because no personal identification data are included in the database.
Study population
Adult patients (age > 18 years) who were admitted to the ICU and developed AKI in the ICU between Jan 1, 2007, and May 31, 2019, were included. When a patient had two or more ICU admissions during the study period, the first ICU admission date was chosen as the index admission. AKI was identified in accordance with the Kidney Disease: improving Global Outcomes (KDIGO) Clinical Practice Guideline for Acute Kidney Injury, that is, by comparing the baseline creatinine level with the highest creatinine level during the first 7 days of the index ICU admission [27, 28]. The baseline creatinine levels were represented by the lowest creatinine level between 7 days and 1 year before the index ICU admission (priority) or the lowest creatinine level within 6 days before the index ICU admission [29, 30]. Eligible patients were those with a diagnosis of stage 1 or 2 AKI (see Additional file 1: Supplementary Fig. 1).
The exclusion criteria were as follows: renal transplant before admission; dialysis before admission; dialysis during hospital admission but before ICU admission; stage 5 chronic kidney disease (CKD) before admission; no baseline creatinine data; AKI developed during hospital admission but before ICU admission; mortality within 2 days after ICU admission; a stage 3 AKI diagnosis or renal replacement therapy (RRT) within 8 days of ICU admission; and a diagnosis of liver cirrhosis, cancer, or autoimmune disease. Participants identified with hospital admission in the previous 1 month were excluded. NLR at the onset of stage 1 or 2 AKI during ICU admission was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count obtained from a complete blood count with differential. Patients without NLR data were excluded (Fig. 1).
Fig. 1.
Flowchart of the inclusion and exclusion of patients. AKI acute kidney injury, ICU intensive care unit, NLR neutrophil-to-lymphocyte ratio
Outcomes
The primary outcome was a composite of AKI progression to stage 3, RRT, or in-hospital mortality within 14 days after diagnosis of stage 1 or 2 AKI. The secondary outcomes were the individual components of the primary composite outcome. Additional follow-up outcomes, including all-cause mortality, RRT, and a composite outcome of all-cause mortality or RRT during the 180-day follow-up after the onset of stage 1 or 2 AKI during ICU admission, were also investigated.
Covariates
The covariates we considered were demographics (age, sex, and body mass index), reason for ICU admission [medical admission, cardiovascular surgery (CVS), or non-cardiovascular surgery], comorbidities (hypertension, diabetes mellitus, heart failure, coronary artery disease, and CKD), and baseline creatinine level. Laboratory parameters measured on the ICU admission date included blood urea nitrogen (BUN), serum creatinine, serum albumin, C-reactive protein, white blood count (WBC) with neutrophil percentage, hemoglobin, potassium, and pH obtained from arterial blood gas analysis. The severity of critical illness at the onset of stage 1 or 2 AKI was assessed using sequential organ failure assessment scores (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE-II) scores. Ventilator use on the ICU admission date and inotropic agent prescription at the onset of stage 1 or 2 AKI were also recorded and analyzed.
Statistical analysis
The associations between NLR and the risks of primary and secondary outcomes (e.g., progression to stage 3 AKI) within 14 days after the onset of stage 1 or 2 AKI were assessed using logistic regression models. NLR was divided into quintiles [quintile 1, ≤ 4.7; quintile 2, 4.8–7.9; quintile 3, 8.0–12.1; quintile 4, 12.2–20.5 (reference); and quintile 5, > 20.5] and treated as a categorical variable. The risks of time-to-event outcomes in the NLR groups were compared using a Cox proportional hazards model. In addition to the univariate analysis (NLR as the only explanatory variable), multivariable analyses were conducted to determine whether NLR was independently associated with the outcomes of interest. Model 2 was adjusted for age and sex, and Model 3 was adjusted for hypertension, diabetes, heart failure, coronary artery disease, CKD, APACHE-II score, SOFA score, baseline creatinine, albumin, C-reactive protein, WBC, hemoglobin, potassium, BUN, pH, ventilator use, and inotropic agent use.
The continuous NLR data were employed in restricted cubic spline (RCS) regression models. The possibility of nonlinearity and the potential cutoffs for NLR were explored with the RCS model. Four knots were employed, located at the 5th, 35th, 65th, and 95th percentiles. Finally, a subgroup analysis was conducted to assess whether the linear and nonlinear effects of NLR on the primary outcome (composite of stage 3 AKI, RRT, or 14-day in-hospital mortality) was consistent across all reasons for ICU admission (including for CVS, non-cardiovascular surgery, or medical reasons).
Because of the missing values for APACHE-II score, albumin, C-reactive protein, WBC, hemoglobin, potassium, BUN, and pH, a single expectation–maximization imputation was performed before adjustment of the covariates in the aforementioned regression models. RCS modeling was performed with R (version 4.0.2; R Foundation for Statistical Computing) and the rms package (version 5.1–3.1; Frank E. Harrell Jr.). Other statistical analyses were performed using SAS (version 9.4; SAS Institute, Cary, NC, USA). A two-sided P value of < 0.05 was considered statistically significant.
Results
Patient characteristics
A total of 107,316 patients with stage 1 or 2 AKI during ICU admission were identified. After the exclusion criteria were applied, 10,441 patients were eligible for analysis. These patients included 6491 men (62.2%; mean age, 68.1 ± 16.6 years). Among the patients, 5256 (50.3%) were admitted for (nonsurgical) medical reasons, 2011 (19.3%) were admitted for CVS, and 2690 (25.8%) were admitted for non-cardiovascular surgery. The overall mean NLR was 14.9 (± 17.8). Patients with a higher NLR tended to be older; be men; have lower body mass indices; be less likely to have hypertension, diabetes mellitus, coronary artery disease, or CKD; have lower albumin and hemoglobin levels and higher C-reactive protein levels and WBCs at ICU admission; and be prone to requiring ventilator or inotropic agent support (Additional File 2).
Association of NLR with AKI progression, RRT, and in-hospital mortality
When NLR was considered a categorical variable, the highest quintile of NLR (NLR > 20.5) was associated with higher risks of the primary composite outcome [odds ratio [OR]: 1.36, 95% confidence interval (CI): 1.14–1.63], AKI progression (OR: 1.38, 95% CI: 1.03–1.84), and in-hospital mortality (OR: 1.18, 95% CI: 1.01–1.36) than was the reference group (quintile 4, 12.2 < NLR < 20.5). Compared with the reference, lower NLR quintiles were associated with higher risks of AKI progression and the primary composite outcome. However, no associations between NLR and the risk of requiring RRT were observed (Table 1).
Table 1.
Association of neutrophil-to-lymphocyte ratio quintiles at onset of stage 1 or 2 acute kidney injury during intensive care unit admission with risks of in-hospital events within 14 days
| Outcome/NLR | Patient number | Event (%) | Odds ratio (95% CI) | ||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| Progress to stage 3 AKI, RRT and death | |||||
| Quintile 1 (≤ 4.7) | 2087 | 295 (14.1) | 1.19 (0.99–1.42) | 1.19 (0.99–1.42) | 1.41 (1.16–1.70)* |
| Quintile 2 (4.8–7.9) | 2089 | 318 (15.2) | 1.29 (1.08–1.54)* | 1.31 (1.09–1.56)* | 1.48 (1.23–1.77)* |
| Quintile 3 (8.0–12.1) | 2093 | 296 (14.1) | 1.19 (0.99–1.42) | 1.20 (1.003–1.44)* | 1.25 (1.04–1.51)* |
| Quintile 4 (12.2–20.5) | 2082 | 254 (12.2) | Reference | Reference | Reference |
| Quintile 5 (> 20.5) | 2089 | 363 (17.4) | 1.51 (1.27–1.80)* | 1.49 (1.25–1.77)* | 1.36 (1.14–1.63)* |
| Progression to AKI stage 3 (including RRT) | |||||
| Quintile 1 (≤ 4.7) | 2087 | 95 (4.6) | 1.16 (0.86–1.57) | 1.17 (0.86–1.58) | 1.27 (0.93–1.73) |
| Quintile 2 (4.8–7.9) | 2089 | 116 (5.6) | 1.43 (1.07–1.92)* | 1.46 (1.09–1.94)* | 1.52 (1.13–2.04)* |
| Quintile 3 (8.0–12.1) | 2093 | 99 (4.7) | 1.21 (0.90–1.63) | 1.23 (0.91–1.65) | 1.23 (0.91–1.66) |
| Quintile 4 (12.2–20.5) | 2082 | 82 (3.9) | Reference | Reference | Reference |
| Quintile 5 (> 20.5) | 2089 | 121 (5.8) | 1.50 (1.13–2.00)* | 1.47 (1.10–1.96)* | 1.38 (1.03–1.84)* |
| Progression to RRT | |||||
| Quintile 1 (≤ 4.7) | 2087 | 24 (1.1) | 1.00 (0.57–1.76) | 0.99 (0.56–1.76) | 1.14 (0.63–2.05) |
| Quintile 2 (4.8–7.9) | 2089 | 24 (1.1) | 1.00 (0.56–1.76) | 1.00 (0.57–1.77) | 1.09 (0.61–1.95) |
| Quintile 3 (8.0–12.1) | 2093 | 19 (0.9) | 0.79 (0.43–1.44) | 0.79 (0.43–1.46) | 0.81 (0.44–1.50) |
| Quintile 4 (12.2–20.5) | 2082 | 24 (1.2) | Reference | Reference | Reference |
| Quintile 5 (> 20.5) | 2089 | 35 (1.7) | 1.46 (0.87–2.47) | 1.44 (0.85–2.43) | 1.35 (0.79–2.31) |
| In-hospital death | |||||
| Quintile 1 (≤ 4.7) | 2087 | 417 (20.0) | 0.87 (0.75–1.01) | 0.86 (0.74–1.003) | 1.07 (0.91–1.25) |
| Quintile 2 (4.8–7.9) | 2089 | 434 (20.8) | 0.91 (0.79–1.05) | 0.93 (0.80–1.08) | 1.07 (0.91–1.25) |
| Quintile 3 (8.0–12.1) | 2093 | 437 (20.9) | 0.92 (0.79–1.06) | 0.94 (0.81–1.09) | 0.98 (0.84–1.15) |
| Quintile 4 (12.2–20.5) | 2082 | 466 (22.4) | Reference | Reference | Reference |
| Quintile 5 (> 20.5) | 2089 | 596 (28.5) | 1.39 (1.20–1.59)* | 1.33 (1.16–1.53)* | 1.18 (1.01–1.36)* |
Model 1 univariate model, Model 2 adjusted for age and sex, Model 3 further adjusted for hypertension, diabetes, heart failure, coronary artery disease, chronic kidney disease, Acute Physiology and Chronic Health Evaluation II score, baseline creatinine, albumin, C-reactive protein, white blood count, hemoglobin, potassium, blood urea nitrogen, pH, ventilator use at the date of ICU admission, and inotropic agent use at the onset of stage 1 or 2 AKI during ICU admission
NLR neutrophil-to-lymphocyte ratio, AKI acute kidney injury, ICU intensive care unit, RRT renal replacement therapy, CI confidence interval
*P value < 0.05
When a reference NLR of 20 was used, the RCS revealed J-shaped curves for the relationships of NLR with the primary composite outcome, AKI progression, and in-hospital mortality. An NLR < 7 or > 38 was associated with a higher risk of the primary composite outcome than was the reference NLR (Fig. 2A). In addition, an NLR < 12 or > 20 was associated with a higher risk of AKI progression (Fig. 2B). Notably, only an NLR > 28 was associated with a higher risk of in-hospital mortality (Fig. 2C). However, no J-shaped relationship between NLR and the risk of RRT was apparent, and no cutoffs were identified (Fig. 2D).
Fig. 2.
Relationships between neutrophil-to-lymphocyte ratio and risks of A the primary composite of stage 3 acute kidney injury, renal replacement therapy, or death; B stage 3 acute kidney injury including renal replacement therapy; C in-hospital mortality; and D renal replacement therapy within 14 days after the onset of stage 1 or 2 acute kidney injury during intensive care unit admission. NLR neutrophil-to-lymphocyte ratio, AKI acute kidney injury, RRT renal replacement therapy, ICU intensive care unit
Subgroup analysis by reason for ICU admission revealed different relationships between NLR and the primary composite outcome. In the medical admission population, a generally linear relationship between NLR and the risk of primary outcome was observed (Fig. 3A). A J-shaped relationship was observed for the CVS admission population. An NLR < 7 or > 33 was associated with a higher risk of the primary composite outcome than was the reference (Fig. 3B), and a nonlinear relationship approximating a J-shaped curve was observed in the population admitted for non-cardiovascular surgery (Fig. 3C).
Fig. 3.
Relationships between neutrophil-to-lymphocyte ratio and risks of primary composite outcome within 14 days after the onset of stage 1 or 2 acute kidney injury during intensive care unit admission for A medical reasons, B cardiovascular surgery, and C major non-cardiovascular surgery. NLR neutrophil-to-lymphocyte ratio, AKI acute kidney injury, ICU intensive care unit
Association between NLR and outcomes at 180-day follow-up
The highest NLR quintile (NLR > 20.5) was associated with higher risks of all-cause mortality [hazard ratio (HR): 1.14, 95% CI: 1.02–1.28), RRT (HR: 1.33, 95% CI: 1.04–1.70], and of the composite of mortality or RRT (HR: 1.15, 95% CI: 1.03–1.28; Additional file 3: Supplementary Table 2) within 180 days. With a reference NLR of 21, the RCS model revealed J-shaped relationships between NLR and all-cause mortality and the composite of RRT and mortality (Additional file 4: Supplementary Fig. 2A and Additional file 6: Supplementary Fig. 2C). However, a nonlinear relationship was observed between NLR and dialysis for NLR < 21, and a linear relationship was found for NLR > 21 (Additional file 5: Supplementary Fig. 2B).
Discussion
In this large cohort study of 10,441 patients with critical illness, we examined the relationships between NLR and short- and medium-term adverse outcomes. We present the following findings: (1) NLR measured at the onset of stage 1 or stage 2 AKI predicted the primary composite outcome in the short term, which included in-hospital mortality and AKI progression. (2) NLR and the composite outcome exhibited a J-shaped relationship in the short term, with the lowest OR observed for an NLR between 7 and 38. (3) Subgroup analysis revealed a J-shaped association between NLR and short-term adverse outcomes among patients admitted for surgery, especially among those admitted for CVS, with the lowest OR observed for an NLR between 7 and 33. (4) NLR at the onset of stage 1 or stage 2 AKI also predicted the secondary composite of RRT or mortality in the medium term (180 days), with a J-shaped relationship and the lowest OR observed for an NLR between 5 and 21.
In response to physiological stress including infection or inflammation, endogenous cortical catecholamines increase, thereby raising the neutrophil count and resulting in lymphopenia [31, 32]. Therefore, physiological stress may increase NLR, which could thus serve as an indicator of systemic stress response. NLR rapidly increases within 6 h after physiologic stress [33] and indicates a response earlier than total WBC and left shift on WBC differential analysis [34]. NLR has been used to distinguish mild and severe disease and as a prognostic marker. For example, Hajibandeh et al. determined that NLR could be used as a diagnostic tool for both early diagnosis and severity detection of appendicitis in those presenting with right lower quadrant pain [35]. According to Yazar, using NLR and platelet-to-lymphocyte ratio in addition to routine diagnostic tools could increase the accuracy of appendicitis diagnosis in pregnant women [36].
We observed a J-shaped relationship between in-hospital mortality and NLR during early-stage AKI. NLR could also be used as a prognostic marker in various diseases (including pulmonary embolism, pancreatitis, sepsis, etc.), and some studies have demonstrated a linear relationship [13–17, 24]. Other studies have demonstrated J-shaped relationships of NLR and cortisol levels with patient survival [18, 37]. Salciccioli et al. reported a stepwise increase in 28-day mortality with an increase in NLR in a critically ill population, but this linear relationship was not observed in patients with sepsis [16]. According to Hwang et al., in people with septic shock, persistently low NLR is associated with the worst outcome [18]. A similar hemogram parameter, platelet-to-lymphocyte ratio, was reported to have a J-shaped relationship with mortality in patients on dialysis [38]. These results imply that a response of normal or low NLR to physiological stress might be maladaptive and thus result in an unfavorable outcome. The present study revealed that in patients with early-stage AKI and an NLR < 7 or > 38 is associated with in-hospital adverse events, including AKI progression and mortality, in the short term.
In subgroup analysis, we revealed a linear relationship between composite outcome of AKI mortality or mortality and NLR in the medical ICU population. Similar findings have also been reported in a pulmonary embolism population (NLR cut-off value for mortality ranged from 5.4 to 9.2) [13], in a pancreatitis population (NLR cut-off value for severe pancreatitis: 9.6 with sensitivity: 81.7%, specificity: 55.3% and AUROC: 0.72 at day 0) [14], and in a CKD population (HR for all-cause mortality: 1.45, HR for cardiovascular event: 1.52) [39]. In septic patients, the relationship between the NLR and mortality is more complex. Hwang et al. reported that the relationship between NLR and mortality is linear in a subgroup with increasing NLR, and that it is a J curve relationship in a subgroup with stable NLR [18]. However, in mixed medical and surgical populations, we revealed a non-linear relationship between NLR and composite outcome. If we apply a traditional linear relationship to our overall cohort, the AUROC of NLR for outcome prediction is poor (AUROC: 0.51 for composite outcome of AKI progression and death; data not shown).
The J-shaped association between AKI progression and NLR we observed has not been demonstrated previously. Several trials have reported that NLR could be used as a marker of AKI in patients after CVS [21], in individuals presenting at emergency departments [40], in patients receiving emergency coronary angiography [22], and in patients with sepsis [41]; however, these trials have used small patient samples. NLR has also been demonstrated as a marker of CKD progression [42], a marker of CV mortality [43], and a marker of arteriovenous fistula stenosis in end-stage renal disease [44].
In this study, we investigated the association between NLR and short-and medium-term adverse outcomes. To our knowledge, this is the first study to demonstrate NLR to be a marker of AKI progression. The strengths of our study include its multi-institutional data and large scale. Moreover, we examined the associations of NLR and adverse outcomes by using the RCS function, which has rarely been used in related studies. Furthermore, we enrolled a diverse population and conducted subgroup analysis. However, the present study has some limitations that should be considered when the results are interpreted. First, this was a retrospective cohort study, and despite adjustment for potential confounding factors derived from previous studies [45, 46], residual confounding might still exist. Second, some diseases or clinical conditions that could result in lymphopenia or atypical lymphocytosis [47–49] were not identified in our cohort; thus, the diagnostic value of NLR might be misrepresented. Third, we did not track the relationships between NLR trajectory and adverse outcomes. Fourth, we simply divided the blood neutrophil count by the lymphocyte count, and atypical lymphocytes and lymphocyte subsets were not considered in our analysis. Further prospective study is needed for validating the prognostic role of NLR in critical illness patients with AKI. Moreover, the diagnostic benefits of including NLR in conventional critical illness scoring systems or AKI severity prediction should be evaluated.
Conclusion
The present study suggests that NLR can serve as an independent marker of AKI progression and in-hospital adverse events, including mortality. NLR shared a J-shaped relationship with both short- and medium-term outcomes. NLR is a simple, cost-effective, and readily available marker that could be used for early risk stratification in critical illness patients with acute kidney injury.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
The authors thank Mr. Alfred Hsing-Fen Lin for assistance in the statistical analysis. This study is based in part on data from the Chang Gung Research Database provided by Chang Gung Memorial Hospital. The interpretation and conclusions contained herein do not represent the position of Chang Gung Memorial Hospital.
Abbreviations
- AKI
Acute kidney injury
- ICU
Intensive care unit
- NLR
Neutrophil-to-lymphocyte ratio
- RRT
Renal replacement therapy
Author’s contributions
JJC, CHC and GK methodology; CCL, GK and CLY, formal analysis; JJC and THL data extraction; JJC and THL, writing—original draft preparation; YCT, CHC and PHC writing—review and editing; CHC project administration. All authors read and approved the final manuscript.
Funding
This study was supported by grants from Chang Gung Memorial Hospital, Taiwan, (CMRPG5K0141), and C-H Chang was supported by the Ministry of Science and Technology (109-2314-B-182A-124).
Availability of data and materials
Not applicable.
Code availability
Not applicable.
Declarations
Conflict of interest
The authors declare that they have no competing interests.
Ethical approval
Approved by the Institutional Review Board of Chang Gung Memorial Hospital (IRB No.: 202000915B0).
Consent to participate
The need for individual consent was waived.
Consent for publication
Not applicable.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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