Literature DB >> 35547444

Serum Bicarbonate: Reconsidering the Importance of a Neglected Biomarker in Predicting Clinical Outcomes in Sepsis.

Robin Paudel1, Brittany Bissell2, Prerna Dogra3, Peter E Morris4, Said Chaaban4.   

Abstract

Background Despite being an important pathophysiological component, information on the predictive value of serum bicarbonate level in sepsis is limited. Study design and method This is a single-centered retrospective study involving 4176 patients admitted to the medical ICU (MICU) with a diagnosis of sepsis. Patients were divided into two groups based on the presence or absence of chronic kidney disease (CKD) on admission: CKD and non-CKD, respectively. Each group was then divided into three sub-groups based on serum bicarbonate level at presentation (in mEq/l)- low (<22), normal (22-28), and high (>28). We compared the clinical outcomes between the sub-groups in each group, with in-hospital mortality as the primary endpoint. Secondary endpoints included vasopressor-free days, ventilator-free days, ICU-free days, and hospital-free days. Result In both the CKD and non-CKD groups, low serum bicarbonate was associated with significantly increased in-hospital mortality. There was no difference in the mortality between the sub-groups with normal and high serum bicarbonate. When adjusted for other known predictors of mortality, the association of low serum bicarbonate with increased in-hospital mortality was statistically significant only in the patient group with a Sequential Organ Failure Assessment (SOFA) score of ≥9. Additionally, the SOFA score had a better predictive value for in-hospital mortality, ICU-free days, and ventilator-free days when the serum bicarbonate level was <22. Interpretation Serum bicarbonate is a good predictor of clinical outcomes in sepsis and can be used along with other markers of sepsis to predict clinical outcomes.
Copyright © 2022, Paudel et al.

Entities:  

Keywords:  clinical outcomes; lactate; predictive value; sepsis; serum bicarbonate; sofa score

Year:  2022        PMID: 35547444      PMCID: PMC9090221          DOI: 10.7759/cureus.24012

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Sepsis is a life-threatening syndrome of organ dysfunction caused by infection and dysregulated host response to the infection [1,2]. It is the leading cause of death worldwide, with an estimated incidence of 31.5 million cases of sepsis, 19.4 million cases of severe sepsis, and 5.3 million deaths per year [3]. Markers of sepsis that predict morbidity and mortality, such as Acute Physiology and Chronic Health Evaluation (APACHE) score, Sequential Organ Failure Assessment (SOFA) score, Simplified Acute Physiology Score (SAPS) score, serum lactate level, and mean arterial pressure, have been extensively studied [4-9]. Despite being an important pathophysiological component of sepsis, information on serum bicarbonate level and its predictive value in sepsis are limited. Hemodynamic instability in critically ill patients with sepsis can induce multiple organ compromise, including renal dysfunction and tissue hypoperfusion, both of which are widely believed to cause decreased serum bicarbonate levels. Recent studies have suggested that serum bicarbonate can neither be a surrogate for lactate nor can it accurately predict the lactate level in patients with sepsis [10-12]. To the best of our knowledge, ours is the first large study to look at the relation between serum bicarbonate and clinical outcomes in patients with sepsis. We hypothesize that serum bicarbonate level at presentation is a predictor of morbidity and short-term mortality in patients with sepsis admitted to the medical intensive care unit (MICU).

Materials and methods

After approval by the University of Kentucky Institutional Review Board (approval number 47751), we performed a single-center retrospective research study on patients admitted to the MICU of the University of Kentucky Medical Center, Lexington, Kentucky, United States, with a diagnosis of sepsis, severe sepsis, and septic shock from January 2012 to December 2017. We used International Classification of Diseases (ICD) 9 and 10 codes to identify these patients. The exclusion criteria were age < 18 years, end-stage renal disease requiring dialysis, or missing serum bicarbonate level at presentation defined as within four hours of admission to MICU. A total of 5293 patients met the inclusion criteria, of which 1117 patients were excluded. The final cohort consisted of 4176 subjects. The primary outcome was in-hospital mortality, defined as death before hospital discharge. Secondary outcomes included hospital-free days, ICU-free days, ventilator-free days, and pressor-free days, all calculated at 28 days. Patients with a diagnosis of severe sepsis were included in the study because we also used ICD 9 for the identification of patients. Stata Statistical Software: Release 13, 2013 (StataCorp LP, College Station, Texas, United States) was used for statistical analysis. We first evaluated the unadjusted predictive value of serum bicarbonate in sepsis. Then, we adjusted the outcomes for co-morbidities and other known predictors of clinical outcomes in sepsis. For the unadjusted predictive value of serum bicarbonate, the study cohort was first divided into three groups based on serum bicarbonate level at presentation: serum bicarbonate level <22, serum bicarbonate level 22-28, and serum bicarbonate level >28. In-hospital mortality was then compared among these groups. The study cohort was then divided into two major groups based on the presence or absence of chronic kidney disease (CKD) on admission: CKD and non-CKD groups, respectively. Each group was then divided into three subgroups based on serum bicarbonate at presentation: low bicarbonate (<22 mEq/l), normal bicarbonate (22-28 mEq/l), and high bicarbonate (>28 mEq/l). The mortality in the three sub-groups within each group was then compared using a Chi-square test. To calculate the adjusted predictive value of serum bicarbonate, the study cohort was divided into three groups: group 1 (bicarbonate level <22 mEq/L), group 2 (bicarbonate level 22-28 mEq/L), and group 3 (bicarbonate level >28 mEq/L). The clinical outcomes in groups 1 and 3 were then compared to those in group 2. We used a multiple regression model adjusted for age, gender, SOFA score, and co-morbidities (CKD, chronic obstructive pulmonary disease (COPD), liver cirrhosis). Based on the distribution shown in plots (Figure 1 and Figure 2), we conducted Zero-Inflated Poisson regression models to look at the hospital-free days and ICU-free days as clinical outcomes.
Figure 1

Hospital-free days distribution plot

Figure 2

ICU-free days distribution plot

Based on the distribution shown in plots (Figure 3 and Figure 4), we first transformed the outcome variables by dividing the ventilator-free days and pressor-free days by 28. We then conducted Zero-One Inflated Beta regression models to look at the impacts of bicarbonate on these clinical outcomes.
Figure 3

Ventilator-free days distribution plot

Figure 4

Pressor-free days distribution plot

Results

Patient characteristics are given in Table 1.
Table 1

Unadjusted for other known predictors of clinical outcomes in sepsis

CKD: Chronic Kidney Disease; MICU: Medical Intensive Care Unit; BMI: Body Mass Index; SOFA: Sequential Organ Failure Assessment, eGFR: Estimated Glomerular Filtration Rate, LTACH: Long Term Acute Care Hospital; Dx: Diagnosis

 CKD DxNo CKD Dx
Bicarbonate on MICU Admission< 2222 to 28> 28P-valuen< 2222 to 28> 28P-valuen
Number of Patient Visits51524674 83517061124511 3341
Average Age61.91164.05364.9320.01083553.92554.93657.311< 0.0013341
Average BMI31.98133.57834.9510.01180829.08229.39532.2170.0323184
Percentage Male54.95%56.50%60.81%0.62283548.59%52.67%54.01%0.0303341
Percentage White91.46%93.09%91.89%0.74083593.85%94.22%95.69%0.2883341
Average SOFA Score10.5488.9557.986< 0.00183510.2917.8927.100< 0.0013341
Average Heart Rate97.48090.06986.919< 0.001835105.370102.71398.638< 0.0013340
Average Mean Blood Pressure72.70777.71579.230< 0.00183573.24979.61781.804< 0.0013340
Average Temperature97.84798.51698.176<0.00183498.04198.76298.694< 0.0013338
Average Respiratory Rate21.13020.91919.5810.05383522.72421.44920.875< 0.0013339
Average Bicarbonate Minimum13.46020.18725.041<0.00183513.77120.92427.174< 0.0013341
Average Bicarbonate at 48 Hours18.58523.29630.554<0.00164219.12624.54731.991< 0.0012475
Average Lactate3.3501.7721.735<0.0017964.5092.3171.742< 0.0013173
Average Albumin2.2552.3862.4560.0058172.2122.3922.407< 0.0013262
Average Urea Nitrogen58.27743.64647.486<0.00183237.57825.55725.168< 0.0013336
Average Serum Creatinine3.4492.2671.892<0.0018322.1301.2590.982< 0.0013336
Average eGFR24.59437.84446.001<0.00183250.80275.12085.260< 0.0013336
Average Potassium4.6864.4174.235<0.0018344.3674.1264.169< 0.0013337
Average Sodium138.217139.594140.608<0.001832137.884139.100140.327< 0.0013337
Average Chloride103.162101.94397.270<0.001832102.660101.96998.035< 0.0013336
Average pH7.2407.3397.385< 0.0017457.2657.3637.382< 0.0013020
Average Anion Gap19.61215.21113.662< 0.00183019.31114.46312.217< 0.0013336
Percentage with Positive Blood Culture within 24 Hours25.63%13.01%21.62%<0.00183529.31%21.44%17.61%<0.0013341
Percentage with Positive Blood Culture during Visit33.59%27.64%37.84%0.14483538.39%32.38%28.57%<0.0013341
Average Hospital-Free Days6.5887.9026.5540.1498357.2508.8848.311< 0.0013341
Average MICU-Free Days11.86213.73611.9590.05983511.70514.41613.601< 0.0013341
Average Ventilator-Free Days13.55115.66713.2700.05783513.11516.03215.213< 0.0013341
Percentage Receiving Pressors78.06%63.01%66.22%<0.00183575.73%56.85%53.03%<0.0013341
Average Pressors-Free Days15.73219.12218.743< 0.00183515.44119.53719.959< 0.0013341
Percentage Discharged to Hospice10.87%11.38%14.86%0.6008358.68%8.45%7.44%0.6753341
Percentage Discharged Home/Home Health19.03%21.14%12.16%0.22683522.74%28.83%25.24%0.0013341
Percentage Discharged to Nursing Home1.36%4.47%5.41%0.0138352.52%3.56%4.11%0.1103341
Percentage Discharged to LTACH6.02%7.72%12.16%0.1398353.93%5.60%9.98%<0.0013341
In-Hospital Mortality Rate39.81%30.49%33.78%0.03983542.38%29.00%28.57%<0.0013341

Unadjusted for other known predictors of clinical outcomes in sepsis

CKD: Chronic Kidney Disease; MICU: Medical Intensive Care Unit; BMI: Body Mass Index; SOFA: Sequential Organ Failure Assessment, eGFR: Estimated Glomerular Filtration Rate, LTACH: Long Term Acute Care Hospital; Dx: Diagnosis In the final cohort of 4176 patients, irrespective of the presence or absence of CKD (Table 2), in-hospital mortality was significantly higher in the patients with low serum bicarbonate compared to normal or high serum bicarbonate (p-value<0.0001). Additionally, noted in the low bicarbonate subgroup of both the CKD and non-CKD groups were significantly high SOFA score, low mean arterial pressure, low temperature, low pH, low albumin, high lactate, low estimated glomerular filtration rate (eGFR), and high anion gap. (Table 1 ).
Table 2

Mortality comparison among different bicarbonate groups

MICU: Medical Intensive Care Unit

Bicarbonate on MICU admission<2222-28>28p-value   
Number of patient visits (n)22211370585    
In-Hospital mortality41.78%29.27%29.23%<0.001   
Mortality in group with bicarbonate <22 compared to group with bicarbonate 22-28, chi2=56.9093 (p-value <0.0001)
Mortality in group with bicarbonate <22 compared to group with bicarbonate >28, chi2=30.6197 (p-value <0.0001)
Mortality in group with bicarbonate 22-28 compared to group with bicarbonate >28, chi2=0.0003 (p-value=0.986)

Mortality comparison among different bicarbonate groups

MICU: Medical Intensive Care Unit When the final cohort was divided into CKD and non-CKD groups (Table 3), the low bicarbonate sub-group had higher in-hospital mortality compared to the normal bicarbonate sub-group in both the CKD (p=0.013) and non-CKD (p<0.001) groups. In comparing the low bicarbonate sub-group to the high bicarbonate sub-group, this difference was statistically significant only in the non-CKD group (p<0.001). For secondary outcomes, in both the CKD and non-CKD groups, more patients with low serum bicarbonate levels required vasopressors and these patients had significantly fewer pressor-free days compared to patients with normal or high bicarbonate levels (p-value<0.001). Regarding other secondary outcomes, only patients in the low bicarbonate sub-group of the non-CKD group had significantly fewer hospital-free days, ICU-free days, and ventilator-free days (p-value<0.001), and no statistically significant difference was seen in the three subgroups with CKD.
Table 3

Mortality comparison among different bicarbonate sub-groups in CKD and non-CKD groups

CKD: Chronic Kidney Disease

 Patients with history of CKDPatients with no history of CKD
 Chi-squarep-valueChi-squarep-value
Bicarbonate <22 vs 22-286.1250.01351.971<0.001
Bicarbonate <22 vs >280.9860.32131.459<0.001
Bicarbonate 22-28 vs >280.2880.5920.0320.858

Mortality comparison among different bicarbonate sub-groups in CKD and non-CKD groups

CKD: Chronic Kidney Disease Using a multivariate logistic regression model adjusted for age, gender, CKD, COPD, liver cirrhosis, and SOFA score, the primary outcome was compared between group 1 (bicarbonate level <22 mEq/L), group 2 (bicarbonate level 22-28 mEq/L), and group 3 (bicarbonate level >28 mEq/L). As we found a significant interaction between the SOFA score and low bicarbonate, this interaction term was then introduced into the regression model. We found that when adjusted for these variables, the association of low serum bicarbonate with increased in-hospital mortality was seen only when the SOFA score was ≥ 9. When bicarbonate was higher than 28, the mortality rate was higher but not statistically significant (Table 4).
Table 4

Estimation results of coefficients for both primary and secondary outcomes

CKD: Chronic Kidney Disease, COPD: Chronic Obstructive Lung Disease, SOFA: Sequential Organ Failure Assessment

 Mortality Hospital-free daysICU-free daysVentilator-free daysPressor-free days
Intercept-3.57 (<0.001)3.029 (<0.001)3.073 (<0.001)1.046 (<0.001)2.378 (<0.001)
Age0.016 (<0.001)-0.001 (0.127)0.001 (0.001)0.002 (0.179)-0.001 (0.467)
Male0.006 (0.935)0.045 (<0.001)0.010 (0.242)0.030 (0.471)0.061 (0.119)
CKD-0.280 (0.002)-0.037 (0.013)-0.007 (0.526)-0.103 (0.061)-0.092 (0.049)
COPD0.139 (0.083)0.009 (0.488)0.023 (0.018)0.074 (0.111)0.039 (0.355)
Cirrhosis0.519 (<0.001)-0.072 (0.013)0.001 (0.978)0.028 (0.777)-0.229 (0.003)
SOFA0.212 (<0.001)-0.033 (<0.001)-0.018 (<0.001)-0.046 (<0.001)-0.060 (<0.001)
Group 1-0.401 (0.069)0.038 (0.002)0.141 (<0.001)0.298 (<0.016)0.040 (0.355)
Group 30.184 (0.117)-0.082 (<0.001)-0.056 (<0.001)-0.117 (0.059)-0.048 (0.466)
Group 1 SOFA interaction0.050 (0.017) -0.013 (<0.001)-0.025 (0.052) 
n41764176417641764176
Log-likelihood-2330.1-10116.1-11893.5-2970.1-1765.6

Estimation results of coefficients for both primary and secondary outcomes

CKD: Chronic Kidney Disease, COPD: Chronic Obstructive Lung Disease, SOFA: Sequential Organ Failure Assessment In addition, the interaction term between the low bicarbonate group and the SOFA score was significantly positive, suggesting that the impact of the SOFA score on mortality was higher among patients in group 1. The odds ratio of the SOFA score for the normal bicarbonate group was 1.236 (Table 5), suggesting a 23.6 % increase in the odds of mortality for every unit increase in the SOFA score. The odds ratio of SOFA score for the low bicarbonate group was 1.300 (exp (0.212+0.05) (Table 4), suggesting a 30.0% increase in the odds of mortality for every unit increase in the SOFA score.
Table 5

Regression model for primary and secondary outcomes variables

CKD: Chronic Kidney Disease, COPD: Chronic Obstructive Lung Disease, SOFA: Sequential Organ Failure Assessment

 Mortality Hospital-free daysICU-free daysVentilator-free daysPressor-free days
Intercept0.02820.67221.6092.84710.781
Age1.0160.9991.0011.0020.999
Male1.0061.0461.011.0311.062
CKD0.7560.9630.9930.9020.913
COPD0.870.9910.9770.9281.04
Cirrhosis1.6810.931.0011.0280.795
SOFA1.2360.9680.9820.9550.942
Group 10.671.0391.1511.3471.041
Group 31.2020.9210.9450.8890.953
Group 1 SOFA interaction1.051 0.9870.975 

Regression model for primary and secondary outcomes variables

CKD: Chronic Kidney Disease, COPD: Chronic Obstructive Lung Disease, SOFA: Sequential Organ Failure Assessment The estimation coefficients of the Poisson regression model for hospital-free days are listed in Table 4. The interaction between group 1 and SOFA score was not significant and was not included for further analysis. For the non-zero portion, Group 1 had significantly higher hospital-free days, while group 3 had significantly lower hospital-free days. The incident rate ratio for group 1 was 1.039 and that for group 3 was 0.921. The estimation coefficients of the Poisson regression model for ICU-free days are listed in Table 4. For the non-zero portion, patients in group 3 (bicarbonate > 28) had significantly fewer ICU-free days (p<0.01). The interaction term of bicarbonate group 1 and SOFA score was significantly negative, suggesting that the difference in ICU-free days between the low bicarbonate group and the normal bicarbonate group would depend on patients’ SOFA score. When the SOFA score was ≥ 11 (0.141/0.013; Table 4), patients in group 1 had fewer ICU-free days. This also suggested that the impact of SOFA score on the ICU-free days was more significant on patients in group 1 compared to group 2. For group 2, for every unit increase in the SOFA score, there was a 1.8 % decrease in ICU-free days (Table 4). For group 1, for every unit increase in the SOFA score, there was a 3.1 % decrease in ICU-free days. The estimation coefficients of the Beta regression model portion for ventilator-free days are listed in Table 4. The interaction term of bicarbonate group 1 and SOFA score was negative suggesting that the difference in ventilator-free days between group 1 and group 2 was dependent on the SOFA score, although the difference was not statistically significant (p=0.052). When the SOFA score was ≥ 12 (0.298/0.025; Table 4), patients in group 1 had fewer transformed ventilator-free days suggesting that the impact of SOFA score on the ventilator-free days was larger on patients in group 1 compared to group 2. For patients in group 2, with every unit increase in SOFA score, there was a 4.5 % decrease in the average transformed ventilator-free days. For patients in group 1, with every unit increase in SOFA score, there was a 6.9 % decrease in the average transformed ventilator-free days. The estimation coefficients of the Beta regression model portion for pressor-free days are listed in Table 4. The interaction between group 1 and SOFA score was not significant and was not included for further analysis. We found that there was no significant difference in pressor-free days between the groups.

Discussion

Sepsis and its complications remain the leading cause of morbidity and mortality worldwide [3,13]. Metabolic acidosis [14,15], elevated lactate [16-20], and acute kidney injury [21-23] are known predictors of worse clinical outcomes in patients with sepsis. While these factors have been extensively investigated for their role in sepsis, the predictive value of serum bicarbonate in sepsis remains unexplored. Recent studies have shown that serum bicarbonate and lactate do not correlate, suggesting that serum bicarbonate cannot be a surrogate for lactate and vice versa [10-12, 24]. Moreover, with a significant proportion of hospitals in rural areas operating without access to rapid lactate levels [25,26], knowing the predictive value of serum bicarbonate in sepsis will always help in risk stratification. In this retrospective analysis including 4176 patients, we investigated the predictive value of serum bicarbonate in sepsis. Our study suggests that serum bicarbonate level at presentation can predict in-hospital mortality as well as the ICU-free days, ventilator-free days, and hospital-free days. In our unadjusted analysis, serum bicarbonate level < 22 mEq/l had a significant association with elevated in-hospital mortality; however, when controlled for confounders, the difference in the in-hospital mortality was not statistically significant except for when the SOFA score was ≥9. When the SOFA score was ≥9, the mortality rate among patients with serum bicarbonate levels < 22meq/l was significantly higher. Similarly, patients with low serum bicarbonate (< 22 mEq/l) had significantly fewer ICU-free days when the SOFA score was ≥11 and significantly fewer ventilator-free days when the SOFA score was ≥12. In contrast, patients with low serum bicarbonate had significantly more hospital-free days while the patients with high serum bicarbonate had fewer hospital-free days compared to patients with normal serum bicarbonate. It was not clear from this study, however, why the patients with low serum bicarbonate had higher hospital-free days. An interesting finding of our study was the interaction between SOFA score and serum bicarbonate at presentation suggesting that the predictive value of SOFA score for in-hospital mortality, ICU-free days, ventilator-free days, and hospital-free days was higher among patients with low serum bicarbonate. This brings up a valid question if we should incorporate serum bicarbonate levels into the SOFA score to predict clinical outcomes. Increasing attention has been dedicated to the utilization of sodium bicarbonate in the treatment of sepsis. Current guidelines [13] recommend against its use based on two small cohort studies [27,28]. However, a few recent studies suggested improved mortality with the administration of sodium bicarbonate in a subset of patients with acute kidney injury [29,30] based on which, a weak recommendation was made in favor of sodium bicarbonate therapy in a subset of patients with septic shock, severe metabolic acidosis (pH ≤ 7.2), and acute kidney injury (AKI) (Acute Kidney Injury Network (AKIN) score 2 or 3). Of note, patients in this study were included if their enrollment SOFA score exceeded 4. Based on our study, low serum bicarbonate had a worse clinical outcome only when the SOFA score was ≥9. With these findings, we propose that the clinical outcomes might be better if the patient population is appropriately chosen with a SOFA score of ≥9 for further studies involving the administration of bicarbonate in patients with sepsis. Given the retrospective nature of our study, multiple limitations exist. The limitations of our study include the fact that (a) it was a single-center study, (b) the study had a retrospective design, and (c) the reason behind the high bicarbonate level (>28 mEq/L) was not investigated.

Conclusions

Given the widespread availability of serum bicarbonate levels in health care facilities around the globe, we believe that the utilization of serum bicarbonate levels at presentation along with other markers of sepsis can help in the prognostication of these patients with sepsis. Also noted in our study is that the predictive value of the SOFA score was dependent on the serum bicarbonate level at presentation. Based on this result, we believe that incorporating serum bicarbonate level in the SOFA score might increase the predictive value of the SOFA score. We propose that further prospective studies be performed to evaluate the utilization of serum bicarbonate for these purposes.
  25 in total

1.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

2.  Serum anion gap predicts lactate poorly, but may be used to identify sepsis patients at risk for death: A cohort study.

Authors:  Nicholas M Mohr; J Priyanka Vakkalanka; Brett A Faine; Brian Skow; Karisa K Harland; Ryan Dick-Perez; Brian M Fuller; Azeemuddin Ahmed; Steven Q Simson
Journal:  J Crit Care       Date:  2017-10-31       Impact factor: 3.425

3.  Predictive performance of quick Sepsis-related Organ Failure Assessment for mortality and ICU admission in patients with infection at the ED.

Authors:  Jun-Yu Wang; Yun-Xia Chen; Shu-Bin Guo; Xue Mei; Peng Yang
Journal:  Am J Emerg Med       Date:  2016-06-07       Impact factor: 2.469

4.  Bicarbonate does not improve hemodynamics in critically ill patients who have lactic acidosis. A prospective, controlled clinical study.

Authors:  D J Cooper; K R Walley; B R Wiggs; J A Russell
Journal:  Ann Intern Med       Date:  1990-04-01       Impact factor: 25.391

5.  Effects of bicarbonate therapy on hemodynamics and tissue oxygenation in patients with lactic acidosis: a prospective, controlled clinical study.

Authors:  D Mathieu; R Neviere; V Billard; M Fleyfel; F Wattel
Journal:  Crit Care Med       Date:  1991-11       Impact factor: 7.598

6.  Acute renal failure in patients with severe sepsis and septic shock--a significant independent risk factor for mortality: results from the German Prevalence Study.

Authors:  Michael Oppert; Christoph Engel; Frank-Martin Brunkhorst; Holger Bogatsch; Konrad Reinhart; Ulrich Frei; Kai-Uwe Eckardt; Markus Loeffler; Stefan John
Journal:  Nephrol Dial Transplant       Date:  2007-12-07       Impact factor: 5.992

7.  Serum lactate is associated with mortality in severe sepsis independent of organ failure and shock.

Authors:  Mark E Mikkelsen; Andrea N Miltiades; David F Gaieski; Munish Goyal; Barry D Fuchs; Chirag V Shah; Scarlett L Bellamy; Jason D Christie
Journal:  Crit Care Med       Date:  2009-05       Impact factor: 7.598

8.  Acute kidney injury criteria predict outcomes of critically ill patients.

Authors:  Fidel Barrantes; Jianmin Tian; Rodrigo Vazquez; Yaw Amoateng-Adjepong; Constantine A Manthous
Journal:  Crit Care Med       Date:  2008-05       Impact factor: 7.598

9.  Effectiveness of sodium bicarbonate infusion on mortality in septic patients with metabolic acidosis.

Authors:  Zhongheng Zhang; Carlie Zhu; Lei Mo; Yucai Hong
Journal:  Intensive Care Med       Date:  2018-09-25       Impact factor: 17.440

10.  The association between lactate, mean arterial pressure, central venous oxygen saturation and peripheral temperature and mortality in severe sepsis: a retrospective cohort analysis.

Authors:  Aletta P I Houwink; Saskia Rijkenberg; Rob J Bosman; Peter H J van der Voort
Journal:  Crit Care       Date:  2016-03-12       Impact factor: 9.097

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