Literature DB >> 30808972

Short-term and long-term effects of low serum bicarbonate level at admission in hospitalised patients.

Sung Yoon Lim1, Youngmi Park2, Ho Jun Chin1,3, Ki Young Na1,3, Dong-Wan Chae1,3, Sejoong Kim4,5.   

Abstract

Although low serum bicarbonate level is known to be associated with adverse outcomes in patients with chronic kidney injury, it is unclear whether low serum bicarbonate level is associated with the development of acute kidney injury (AKI). The purpose of our study was to determine whether serum bicarbonate levels at admission could be a risk factor for AKI development and mortality in hospitalised patients. We retrospectively enrolled 17,320 adult patients who were admitted to the academic teaching hospital from January 2013 to December 2013. Patients were divided into 2 groups based on the first measurement of serum bicarbonate level at admission. The incidence of AKI was higher in patients with low serum bicarbonate level than in those with normal serum bicarbonate level (8.0% vs. 4.1%). Low serum bicarbonate levels at admission were significantly associated with the development of AKI. In addition, low serum bicarbonate levels also independently predicted the 90-day mortality. Pre-existing low bicarbonate levels and subsequent development of AKI increased in-hospital mortality by 15 times compared with that in patients with normal bicarbonate levels and no AKI. Low serum bicarbonate levels may be associated with the development of AKI and high mortality in hospitalised patients.

Entities:  

Year:  2019        PMID: 30808972      PMCID: PMC6391433          DOI: 10.1038/s41598-019-38892-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Metabolic acidosis (MA), indicated by low serum bicarbonate levels, is a disorder that frequently develops in hospitalised patients. The presence of MA is strongly related to increased mortality, as it is implicated in multiple complications including cardiac dysfunction, hypotension, and increased risk of infection[1-3]. Acute kidney injury (AKI) is also a common complication in hospitalised patients. Similar to MA, the presence of AKI is strongly related to mortality[4]. Once AKI develops, the chances of MA are increased. Decline in renal function causes an inability to excrete metabolic wastes and maintain proper acid-base balance, which results in MA[5]. Thus, clinical practice guidelines recommend the initiation of alkali therapy when the serum bicarbonate level is <22 mmol/L, although a recent Cochrane review has demonstrated that the benefit of sodium bicarbonate in AKI management is equivocal[6,7]. Several observational studies have shown a crosstalk between MA and decline in renal function in patients with chronic kidney disease (CKD)[8]. A significant association of acidosis with all-cause mortality in patients with CKD has also been reported[9-11]. However, the impact of acidosis on the development of AKI has not yet been fully elucidated. In this study, we investigated whether lower serum bicarbonate level at the time of admission could predict the development of AKI, and whether AKI and low serum bicarbonate level have a combined effect on patient mortality.

Results

A total of 17,320 patients were enrolled and divided into 2 groups according to the serum bicarbonate level. In the enrolled cohort, 25.91% (n = 4,488) were acidotic initially. During a median (interquartile range) hospital stay of 6.0 (3.0–10.0) days, AKI of all stages was detected in 882 (5.1%) patients, of whom 662 (3.8%) were in stage I and 220 (1.3%) were in stage II and stage III (Supplementary Table S1). Of the patients, 3.1% died of all causes within 90 days after admission. No patient died before the development of AKI.

Baseline characteristics according to serum bicarbonate level

The patient demographics and clinical parameters at the time of admission are summarised in Table 1. Patients with low serum bicarbonate level were older than those with normal serum bicarbonate level, and more likely to have pre-existing comorbidities such as diabetes, hypertension, cardiovascular disease, and heart failure, except cancer. However, there was no significant difference in the Charlson comorbidity index score between the 2 groups.
Table 1

Baseline characteristics of patients with low serum bicarbonate and normal serum bicarbonate.

Low serum bicarbonate (n = 4,488)Normal serum bicarbonate (n = 12,832)P
Age (years)58.0 ± 18.658.0 ± 16.30.870
Male sex2,136 (47.6%)7,106 (55.4%)0.000
Hypertension301 (6.7%)666 (5.2%)0.000
Diabetes261 (5.8%)545 (4.2%)0.000
Cardiovascular disease302 (6.7%)723 (5.6%)0.005
Cancer912 (20.3%)3,382 (26.4%)0.000
Charlson comorbidity index5.7 ± 2.35.5 ± 2.00.000
Admission for elective surgical procedures1,345 (30.0%)5,108 (39.8%)0.000
ICU stay history during the study period878 (19.6%)1,506 (11.7%)0.000
RAS inhibitor388 (8.6%)872 (6.8%)0.000
Diuretics268 (6.0%)485 (3.8%)0.000
Body mass index (kg/m2)23.9 ± 3.923.8 ± 3.60.035
Systolic BP (mmHg)130.5 ± 22.7130.6 ± 19.60.880
Diastolic BP (mmHg)74.7 ± 14.575.8 ± 12.50.000
TWA-MAP (mmHg)89.0 ± 9.187.5 ± 9.80.000
Use of vasopressors121 (2.7%)201 (1.6%)0.000
Sodium (mmol/L)138.1 ± 3.9139.2 ± 3.00.000
White blood cells (109/L)9.6 ± 5.07.9 ± 5.80.000
Haemoglobin (g/L)124 ± 23129 ± 200.000
Platelet (109/L)214.5 ± 82.1221.1 ± 79.20.000
C-reactive protein (mg/L)56.19 ± 64.7644.76 ± 55.240.000
Protein (g/L)65 ± 966 ± 80.000
Albumin (g/L)38 ± 640 ± 50.000
Total cholesterol (mmol/L)4.5 ± 1.44.5 ± 1.10.113
Total bilirubin (µmol/L)15.4 ± 29.113.7 ± 18.80.000
Serum creatinine (µmol/L)61.0 ± 45.853.9 ± 22.90.000
eGFR (mL·min−1·1.73 m−2)86.0 ± 32.891.8 ± 28.60.000

ICU, intensive care unit; RAS, renin-angiotensin system; BP, blood pressure; TWA-MAP, time-weighted average mean arterial pressure; eGFR, estimated glomerular filtration rate.

Values are expressed as mean ± standard deviation for continuous variables and n (%) for categorical variables.

*Incomplete data. The missing data rate was 8.9% in body mass index; 0.1% in systolic and diastolic BP; 1.2% in white blood cells, haemoglobin, and platelet; 45.6% in C-reactive protein; 2.2% in protein; 1.5% in albumin; 2.1% in cholesterol; and 2.2% in bilirubin.

Baseline characteristics of patients with low serum bicarbonate and normal serum bicarbonate. ICU, intensive care unit; RAS, renin-angiotensin system; BP, blood pressure; TWA-MAP, time-weighted average mean arterial pressure; eGFR, estimated glomerular filtration rate. Values are expressed as mean ± standard deviation for continuous variables and n (%) for categorical variables. *Incomplete data. The missing data rate was 8.9% in body mass index; 0.1% in systolic and diastolic BP; 1.2% in white blood cells, haemoglobin, and platelet; 45.6% in C-reactive protein; 2.2% in protein; 1.5% in albumin; 2.1% in cholesterol; and 2.2% in bilirubin. The median serum bicarbonate levels in the low serum bicarbonate group and normal serum bicarbonate group were 20.0 (7–21) and 24.0 (22–29) mmol/L, respectively. Additionally, patients with low serum bicarbonate level at admission were more likely to have higher serum creatinine and to develop AKI. Compared with patients with normal serum bicarbonate level, those with low serum bicarbonate level had lower serum sodium, albumin, and estimated glomerular filtration rate (eGFR) at admission.

Low serum bicarbonate, AKI, and mortality

A significantly higher rate of AKI development was observed in the low bicarbonate group than in the normal bicarbonate group (Fig. 1). Patients with AKI had lower serum bicarbonate levels than those without AKI. To evaluate the independent risk factors predicting the development of AKI, Cox regression analysis was performed (Supplementary Table S2, Table 2). Variables that were significant in univariate analysis, such as albumin, history of intensive care unit stay, hypertension, and diabetes mellitus, were included as adjusting covariates in multivariate analysis. As a result, lower serum bicarbonate level was independently associated with an increased risk of AKI development, with a hazard ratio (HR) of 1.574 (95% confidence interval [CI], 1.273–1.949; P < 0.001) in multivariate Cox proportional hazard regression analysis.
Figure 1

Clinical outcomes according to serum bicarbonate level. *P < 0.001 compared with the non-acidosis group. AKI, acute kidney injury; ESRD, end-stage renal disease.

Table 2

Hazard ratio for the development of AKI and 90-day mortality in multivariable Cox proportional hazard regression.

Acute kidney injury90-Day mortality
HR (95% CI)PHR (95% CI)P
Age (years)1.031 (1.022–1.040)<0.001
Male sex1.428 (1.173–1.713)<0.001
Diabetes1.971 (1.414–2.756)<0.001
Cardiovascular disease1.591 (1.021–2.477)0.040
Heart failure2.444 (1.388–4.309)0.002
Cancer1.262 (1.043–1.541)0.0205.852 (4.565–7.502)<0.001
Diuretics1.763 (1.255–2.484)0.0011.585 (1.140–2.205)0.006
Albumin (g/L)0.614 (0.489–0.772)<0.0010.406 (0.324–0.508)<0.001
Total bilirubin (µmol/L)1.083 (1.040–1.127)<0.0011.040 (1.012–1.070)0.005
eGFR (mL·min−1·1.73 m−2)1.013 (1.012–1.029)<0.001
ICU stay history3.402 (2.762–4.173)<0.0011.940 (1.455–2.588)<0.001
Admission for elective surgical procedures0.188 (0.137–0.257)<0.001
Low vs. normal serum bicarbonate1.574 (1.273–1.949)<0.0011.302 (1.008–1.682)0.043
Development of AKI1.0002.472 (1.900–3.217)<0.001

HR, hazard ratio; CI, confidence interval; eGFR, estimated glomerular filtration rate; ICU, intensive care unit; AKI, acute kidney injury.

Clinical outcomes according to serum bicarbonate level. *P < 0.001 compared with the non-acidosis group. AKI, acute kidney injury; ESRD, end-stage renal disease. Hazard ratio for the development of AKI and 90-day mortality in multivariable Cox proportional hazard regression. HR, hazard ratio; CI, confidence interval; eGFR, estimated glomerular filtration rate; ICU, intensive care unit; AKI, acute kidney injury. The low bicarbonate group also showed a statistically higher risk of severe AKI, end-stage renal disease at 1 year, and mortality of all causes within 90 days or 1 year after admission than the normal bicarbonate group (Fig. 1, Fig. 2a). Patients with AKI also had considerably higher risk of 90-day than those who did not develop AKI (Fig. 2b). As shown in Table 2, both low serum bicarbonate level and AKI were significant predictors of 90-day mortality in multivariate Cox proportional regression analysis (adjusted HR, 1.302; 95% CI, 1.008–1.682; P = 0.043 and adjusted HR, 2.472; 95% CI, 1.900–3.217; P < 0.001, respectively; Table 2). As low serum bicarbonate level was associated with the development of AKI, we assessed the interaction between low serum bicarbonate levels and AKI for mortality by using the relative excess risk due to interaction (Table 3). Compared with patients with normal serum bicarbonate level and without AKI, patients with low serum bicarbonate level and those with AKI had worse mortality (odds ratio [OR], 2.723; P < 0.001 and OR, 15.200; P < 0.001, respectively). In addition, patients in the low bicarbonate group with AKI had an increased risk of 90-day mortality by 18.863 times compared with patients in the normal bicarbonate group (P < 0.001). We also observed that the hazards of AKI and mortality decreased as the serum bicarbonate level increased in the restricted cubic regression models, and that higher serum bicarbonate level within the normal range seemed beneficial with respect to avoiding the development of AKI and mortality (Fig. 3).
Figure 2

Cumulative survival rate according to serum bicarbonate level and acute kidney injury (AKI). (a–c) Show the survival curves of serum bicarbonate, AKI, and combined serum bicarbonate and AKI groups for the 90-day mortality, respectively. *And †indicate P < 0.001 when compared with normonatraemic patients without AKI and hyponatraemic patients without AKI, respectively; ‡indicates P < 0.05 when compared with normonatraemic patients with AKI in the log-rank test.

Table 3

Interaction analysis between low serum bicarbonate and acute kidney injury for in-hospital mortality.

Low serum bicarbonateAKIOR (95% CI) for AKI (yes vs. no) within strata of low serum bicarbonate group
NoYes
n*ORn*OR
NoYesOR for low serum bicarbonate within strata of AKI group244/12,3081.0 (reference)69/52415.20015.200
82/3582.723139/4,13018.8636.927
2.7231.241

Measure of interaction on additive scale (95% CI): RERI, 31.953 (8.622–55.284); AP, 0.491 (0.281–0.700); and SI, 1.993 (1.3076–3.0376).

Measure of interaction on the multiplicative scale: OR (95% CI) = 0.987 (0.508–1.921); P = 0.970.

*With/without mortality.

AKI, acute kidney injury; n, number; OR, odds ratio; CI, confidence interval; RERI, relative excess risk due to interaction; AP, attributable proportion due to interaction; SI, synergistic index.

Figure 3

Relative hazards of acute kidney injury (AKI) development (a) and mortality (b) according to serum bicarbonate level in restricted cubic splines.

Cumulative survival rate according to serum bicarbonate level and acute kidney injury (AKI). (a–c) Show the survival curves of serum bicarbonate, AKI, and combined serum bicarbonate and AKI groups for the 90-day mortality, respectively. *And †indicate P < 0.001 when compared with normonatraemic patients without AKI and hyponatraemic patients without AKI, respectively; ‡indicates P < 0.05 when compared with normonatraemic patients with AKI in the log-rank test. Interaction analysis between low serum bicarbonate and acute kidney injury for in-hospital mortality. Measure of interaction on additive scale (95% CI): RERI, 31.953 (8.622–55.284); AP, 0.491 (0.281–0.700); and SI, 1.993 (1.3076–3.0376). Measure of interaction on the multiplicative scale: OR (95% CI) = 0.987 (0.508–1.921); P = 0.970. *With/without mortality. AKI, acute kidney injury; n, number; OR, odds ratio; CI, confidence interval; RERI, relative excess risk due to interaction; AP, attributable proportion due to interaction; SI, synergistic index. Relative hazards of acute kidney injury (AKI) development (a) and mortality (b) according to serum bicarbonate level in restricted cubic splines.

Discussion

In our large cohort study, we investigated the effect of low serum bicarbonate level at admission on the subsequent development of AKI in hospitalised patients. Patients with low serum bicarbonate level had an approximately 1.57-fold higher risk of AKI development than those with normal serum bicarbonate level. Low serum bicarbonate level also negatively affected survival and increased the risk of mortality in the presence of AKI. In addition, both AKI development and mortality proportionally increased with the severity of acidosis. MA has been implicated in the pathogenesis of renal injury. The underlying exact mechanism for the association between MA and AKI is not clear; however, several possibilities can be considered on the basis of the results of previous animal and human studies. In MA, increased endothelin mediates urinary acidification and kidney injury[12,13]. Additionally, along with increased endothelin, excessive acid loading results in renin-angiotensin-aldosterone system activation[14]. In another study, MA was related to increased ammonia level, which, in turn, activated the alternative complement pathway and aggravated tubulointerstitial injury in an animal model of AKI[15,16]. Furthermore, several observational studies have shown a clear relationship between MA and rapid decline in renal function in patients with CKD[8]. Although the mechanism of CKD progression due to MA cannot be directly applied to patients with AKI, reduced renal blood flow and inflammation may also be related to renal injury in patients with AKI. Several small trials suggested that the treatment of acidosis with oral alkali can slow the progression of kidney disease in patients with CKD[17]. In our study, patients treated with bicarbonate had higher rates of AKI development and mortality (data not shown). However, as patients treated with sodium bicarbonate had more severe disease and lower initial bicarbonate levels than patients who did not receive sodium bicarbonate, further well-designed trials are needed. The higher number of AKI risk factors in patients with low serum bicarbonate level could affect the association between low serum bicarbonate level and AKI development. Therefore, we performed multivariate regression analysis, in which low serum bicarbonate level remained a significant risk factor of AKI development even after adjusting for baseline eGFR and other clinical and demographic factors. Consistent with these results, MA in kidney transplant recipients was a significant risk factor for graft failure and patient mortality, even after adjustment for eGFR[18]. Jung et al. also demonstrated that patients with low serum bicarbonate levels before cardiac surgery had a higher incidence of postoperative AKI independent of other risk factors for AKI development[19]. Similarly, recent observational studies found that lower serum bicarbonate levels predicted the development of AKI[5,20], thereby supporting a close association between serum bicarbonate level and renal dysfunction. There were some interactions between AKI and low serum bicarbonate level; thus, we analysed whether hospital-acquired AKI modified the effect of low serum bicarbonate level on short-term patient mortality. AKI can be further exacerbated by MA because of the reduction of renal blood flow and increase of inflammatory mediator release. Moreover, MA exacerbates renal injury, a phenomenon that was associated with a high nuclear factor-κB expression in an experimental AKI model[21]. These results could be a potential explanation for the synergistic interaction between MA and AKI. MA also affected long-term survival and increased mortality when AKI was concomitantly present. Our study has several limitations. First, confounding factors originating from the retrospective design may have existed. Particularly, the different severities of illness on admission between the low and normal serum bicarbonate groups would be a major confounding variable. However, we excluded patients with community-acquired AKI. By excluding patients who had AKI before admission, we could clearly identify that MA preceded the development of AKI, reinforcing the relationship between MA and AKI. Moreover, the Charlson comorbidity index score was comparable between the 2 groups, and low serum bicarbonate level was a significant predictor of both AKI and 90-day mortality after adjusting for the severity of illness and other confounding variables. Second, our study was conducted in a single country and a single centre, limiting the generalisation of our findings. However, we collected data from a very large administrative cohort, and every variable was well measured; thus, there were few lost cases and laboratory data during the study period. Third, as our electronic medical records system does not keep records of the patients’ hourly urine output, we defined AKI only according to the serum creatinine criteria. Finally, measurements of arterial blood gas were not taken in all patients. Arterial pCO2 and pH were not determined, which leaves the possibility that the serum carbon dioxide levels may not represent the true serum bicarbonate levels in conditions such as respiratory alkalosis or sepsis. However, the prevalence of chronic obstructive pulmonary disease and heart failure was comparable between groups. Low serum bicarbonate level in admitted patients is independently associated with the development of hospital-acquired AKI and long-term survival, and synergizes mortality in the presence of AKI. Therefore, patients with low serum bicarbonate level, which is easily detected using serum bicarbonate levels might need to be periodically monitored for serum creatinine level or urine output to check for AKI development.

Methods

Study population

We performed a single-centre, retrospective cohort study of patients aged 18 years or older who were admitted to Seoul National University Bundang Hospital from January 2013 to December 2013. This study initially included a total of 19,534 patients. We excluded patients who met the following exclusion criteria: (1) with community-acquired AKI; (2) with pre-existing end-stage renal disease that required renal replacement therapy before hospitalisation; and (3) with no available data or with high serum bicarbonate level (>31 mmol/L) within 2 days after admission. The remaining 17,320 patients were selected for the final analysis. The study received full approval from the Seoul National University Hospital institutional review board (IRB no. B-1408/264-102). The requirement for written informed consent was waived by the IRB, and this manuscript adheres to the applicable STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) guidelines.

Definitions and measurements

All data were collected from an electronic medical records database. The data included demographic data, comorbidities, and physiological data at admission. The time-weighted average mean arterial pressure (MAP) was calculated as the area under the curve of the MAP measurements divided by the total measurement time within 2 days after admission[22]. Total serum carbon dioxide levels, which are generally used as indirect measures of serum bicarbonate levels[18], were determined using an electrode-based method (UniCel DxC 800; Beckman Coulter Inc., Brea, CA, USA). According to the first serum bicarbonate measurement within 2 days after admission, the patients were divided into 2 groups: the low bicarbonate group, which included patients whose serum bicarbonate level was <22 mmol/L, and the normal bicarbonate group, which included patients whose serum bicarbonate level was ≥22 mmol/L[6]. Serum creatinine level was measured using the rate-blanked compensated kinetic alkaline picrate Jaffe method with an automatic analyser (TBA-200FR; Toshiba, Tokyo, Japan). The eGFR was calculated using the variable Modification of Diet in Renal Disease Study equation[23]. Baseline creatinine was defined as the lowest value within 6 months before the index admission or the calculated value from the Modification of Diet in Renal Disease study equation, assuming that the baseline glomerular filtration rate is 75 mL·min−1·1.73 m−2 if creatinine was not available[24]. AKI was defined as an increase in serum creatinine level of 26.5 mmol/L (0.3 mg/dL) greater than the baseline value or a 1.5-fold higher value than the baseline level determined during the hospital stay[25]. We defined AKI solely according to changes in measured serum creatinine values because urine output data were not consistently available for all inpatients. We defined severe AKI as stage 2 and 3 AKI based on the Kidney Disease: Improving Global Outcomes classification[25]. If the first creatinine level at the index admission met the criteria for AKI, we defined it as a community-acquired AKI. The development of end-stage renal disease was determined from the registry database of the Korean Society of Nephrology. Patient mortality was determined from the death certificates, and 1-year mortality was determined from the database of the Ministry of Interior.

Statistical analysis

Values were expressed as mean ± standard deviation or median (interquartile range) for continuous variables and as percentage for categorical variables. The difference was analysed using Student’s t-test for continuous variables and the chi-square test for categorical variables. For the estimated survival, the Kaplan-Meier method was employed, and the statistical significance was calculated using the log-rank test. A Cox proportional hazards regression analysis was performed to determine the association between low serum bicarbonate level and AKI or mortality. We fitted a multivariate Cox regression model with significant variables (P < 0.05) from the univariate Cox regression analysis. Further, the probability of AKI and mortality in relation to serum bicarbonate level at admission was presented using restricted cubic splines. For the estimated survival, the Kaplan-Meier method was employed, and the statistical significance was calculated using the log-rank test. The additive interaction was assessed using the relative excess risk due to interaction, attributable proportion due to interaction, and synergistic index[26], with R statistics (version 3.0.3; R Foundation for Statistical Computing, Vienna, Austria). Unless specified, all analyses were performed using SPSS Statistics (version 20; IBM, Armonk, NY, USA). Supplementary Table
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