Literature DB >> 29190735

Subgroup analysis of continuous renal replacement therapy in severely burned patients.

Jaechul Yoon1, Youngmin Kim1, Dohern Kym1, Jun Hur1, Haejun Yim1, Yong-Suk Cho1, Wook Chun1.   

Abstract

Continuous renal replacement therapy (CRRT) is administered to critically ill patients with renal injuries as renal replacement or renal support. We aimed to identify predictors of mortality among burn patients receiving CRRT, and to investigate clinical differences according to acute kidney injury (AKI) status. This retrospective observational study evaluated 216 Korean burn patients who received CRRT at a burn intensive care unit. Patients were categorized by AKI status. Data were collected regarding arterial pH, laboratory results, ratio of arterial oxygen partial pressure to fractional inspired oxygen (PF ratio), and urine production. Among surviving patients, CRRT duration and the sequential organ failure assessment score were 6.5 days and 4.7 in the non-AKI group and 23.4 days and 7.4 in the AKI group, respectively (p = 0.003 and p = 0.008). On logistic regression analyses, mortality was significantly associated with a pH of <7.2 (p = 0.004), potassium levels of >5.0 mEg/L (p = 0.045), creatinine levels of >2.0 mg/dL (p = 0.011), lactate levels of >2 mmol/L (p<0.001), a PF ratio of <200 (p = 0.042), and a platelet count of <100,000/μL (p<0.001). In the AKI group, poor outcomes were associated with a pH of <7.2, potassium levels of <5.0 mEg/L, lactate levels of >2 mmol/L, and a platelet count of <100,000/μL, while good outcomes were associated with creatinine levels of >2 mg/dL. In the non-AKI group, poor outcomes were associated with lactate levels of >1.5 mmol/L, a PF ratio of <200, and a platelet count of <100,000/μL, while good outcomes were associated with creatinine levels of >1.2 mg/dL. Duration of the CRRT application and the requirement for either renal replacement or renal support at the initiation of CRRT application are important considerations depending on its application.

Entities:  

Mesh:

Year:  2017        PMID: 29190735      PMCID: PMC5708827          DOI: 10.1371/journal.pone.0189057

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Burn injuries have devastating physical, physiological, and psychological effects, and are associated with high rates of morbidity and mortality. The leading causes of death among major burn cases are sepsis (78–85% of all burn-related deaths) [1, 2] and multiple organ dysfunction syndrome [3]. Of multiple organ dysfunctions, acute kidney injury (AKI) is a common complication in burn patients with an incidence of 1–40% and the associated mortality rate is 50–100% [4]. Although critical care improvements during the last decade have helped decrease the mortality rate among burn cases, burns remain an important global cause of disability and death [5]. Continuous renal replacement therapy (CRRT) is an important critical care treatment that is generally provided to critically ill patients for renal replacement (in cases of AKI) or for renal support (in cases without AKI) [6]. Although the therapeutic mechanisms of CRRT for critically ill patients without acute renal failure are unclear, CRRT is known to remove inflammatory mediators and cytokines in cases of systematic inflammatory response syndrome and sepsis [7], improve oxygenation in patients with acute respiratory distress syndrome (ARDS) [8], and remove fluid without creating a cardiac burden in patients with congestive heart failure [9]. Similarly, some burn patients may need renal replacement, inflammatory mediator or cytokine removal, and volume overload control. Therefore, CRRT is an important treatment for severely burned patients, although there are insufficient studies regarding the efficacy and indications for CRRT in this setting. The present study aimed to retrospectively identify factors that predicted mortality among burn cases treated using CRRT, and to investigate any clinical differences according to whether the patients had AKI (i.e., renal replacement vs. renal support).

Methods

Patient selection

This retrospective observational study evaluated data from 216 Korean adult burn cases that were treated using CRRT at a burn intensive care unit between January 2009 and December 2015. The study’s retrospective protocol was approved by the institutional review board of Hangang Sacred Heart Hospital, and the requirement for informed consent was waived. All patient data were anonymized before the analysis. Patients with chronic renal failure were excluded. All data were retrieved from a prospectively collected clinical database at the Hangang Sacred Heart Hospital (Hallym University, Seoul, Korea). We collected baseline data regarding age, sex, weight, extent of burns, presence of inhalation injury, start of CRRT, and duration of CRRT. The Abbreviated Burn Severity Index (ABSI) scores the severity of burn injuries, and is calculated by adding the numerical scores for age, sex, extent of burns, presence of full-thickness burns, and presence of inhalation injury [10]. The Acute Physiologic and Chronic Health Evaluation Score III (APACHE III) and Simplified Acute Physiology Score (SAPS) were calculated to assess case severity at the admission and start of CRRT, and the sequential organ failure assessment (SOFA) score was calculated to assess organ failure severity at the start of CRRT. We also identified patients who received vasopressors or supportive care using a ventilator. Furthermore, we collected data from the start of CRRT regarding mean arterial pressure (MAP), arterial pH, laboratory results (potassium, blood urea nitrogen [BUN], lactate, white blood cells [WBC], platelets, total bilirubin [TB], bicarbonate, and creatinine), ratio of arterial oxygen partial pressure to fractional inspired oxygen (PF ratio), and urine production (urine output for 24 h before the start of CRRT divided by body weight and time). The patients were categorized according to whether they did or did not have AKI, which was diagnosed using the AKIN criteria (Stage 1: creatinine increased 1.5× baseline value or absolute increased creatinine of at least 0.3 mg/dL within 48 hours or urine production of <0.5 mL/kg for 6 h, Stage 2: creatinine increased 2× baseline value or urine production of <0.5 mL/kg for 12 h, Stage 3: creatinine increased 3× baseline value or >4 mg/dL, absolute increased creatinine of at least within 48 h, urine output of <0.3 mL/kg for 24 h, or requiring CRRT regardless of the status. As all patients in this study required CRRT, criteria of “requiring CRRT” in stage 3 were excluded. Data regarding baseline creatinine levels were only included if they were measured within 3 months before the burn injury. If measured results were not available, we estimated the baseline creatinine levels using the modification of diet in a renal disease equation [11]. The CRRT was mainly provided for renal support in the non-AKI group and for renal replacement in the AKI group.

Intervention

The indications for CRRT at our burn center were acidosis (pH of <7.2), azotemia (BUN of >40 mg/dL), oliguria (urine output of <0.5 mL/kg/h), hyperkalemia (potassium levels of >5.5 mEq/L), volume overload (pulmonary edema/effusion observed during chest radiography), hypercreatinemia (creatinine levels of >2 mg/dL), hyperlactatemia (lactate levels of >2 mmol/L), and the discretion of the attending burn surgeon. CRRT was performed using the continuous veno-venous hemodiafiltration mode, with a blood flow rate of 125 mL/min and an intensity of 2,000 mL/h, regardless of the individual patient’s weight. Hemosol BO® fluid (Gambro) was used as the dialysate and replacement fluid.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation, and categorical variables were expressed as number and percentage. Normally distributed continuous variables with variance homogeneity were analyzed using the independent t-test, and non-normally distributed continuous variables with/-out variance heterogeneity were analyzed using the Mann-Whitney U-test. Categorical variables were analyzed using the chi-square test. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to evaluate the predictive accuracy of mortality for laboratory results. Independent predictors of mortality were categorized with normal reference or cutoff values, which were calculated using the ROC curve with the Youden index or based on equality of sensitivity and specificity. Logistic regression analysis was also performed to evaluate independent associations between the clinical factors and mortality. Results are given as odds ratio (OR) and 95% confidence intervals (CI 95%). Differences were considered statistically significant at p-values of <0.05. All analyses were performed using IBM SPSS software (version 24.0; IBM Corp., Armonk, NY).

Results

Characteristics of the survivors and non-survivors, and according to AKI stage

The study identified 216 eligible patients, and we noted 176 deaths (81.5%). The mean age was 52.8 years, and 86.1% of the patients were male. The mean burned total body surface area was 55.8%, and the value was greater among non-survivors (60.4%) than survivors (35.3%). The mean ABSI score was 10.6, with non-survivors having a higher score (11.1) than survivors (8.5). Compared with survivors, non-survivors had significantly more severe acidosis (7.20 vs. 7.26; p <0.001), hyperlactatemia (2.7 mmol/L vs. 1.7 mmol/L; p = 0.002), lower platelet count (95,500/μL vs. 168,200/μL p <0.001), a lower PF ratio (150.7 vs. 197.8 p <0.001), and lower serum creatinine levels (2.0 mg/dL vs. 2.9 mg/dL, p = 0.002) (Table 1).
Table 1

Patients’ characteristics and prognostic factors of the survivors and non-survivors, and according to AKIN stage.

Total(n = 216)Survivors(n = 40)Non-survivors(n = 176)p-valueAKIN0(n = 26)AKIN1(n = 15)AKIN2(n = 26)AKIN3(n = 149)p-value
Age (years)52.8±15.054.3±14.252.5±15.20.55053.0±17.359.3±14.855.8±17.851.6±14.00.221
Sex (male:female)186:3036:4150:260.59324:211:420:6131:180.163
TBSA burned (%)55.8±25.235.3±23.460.4±23.3<0.00166.3±24.360.5±25.945.3±25.455.3±24.70.016
Inhalation Injury103(47.7%)16(40.0%)87(49.4%)0.36713(50.0%)8(53.3%)9(34.6%)73(49.0%)0.546
Weight68.2±11.368.7±8.968.1±11.70.43867.2±13.867.5±9.565.0±10.769.0±11.00.320
ABSI score10.6±2.58.5±2.511.1±2.3<0.00111.8±2.211.3±2.79.7±2.510.5±2.50.009
APACHE of admission52.4±18.947.2±18.653.6±18.80.11753.6±13.245.9±18.958.6±15.251.8±20.10.074
SAPS of admission42.7±9.938.6±9.843.6±9.70.00342.6±8.440.7±12.345.1±10.142.5±9.90.975
LOSICU (days)28.9±28.558.9±32.722.1±22.6<0.00130.2±37.522.7±12.024.4±20.830.1±29.20.896
LOS (days)34.3±37.587.6±43.422.2±22.6<0.00136.7±44.822.7±12.025.9±21.836.5±39.80.898
CRRT
    Initiation day12.4±13.316.2±12.211.6±13.40.01110.6±6.513.0±9.415.1±16.012.2±14.00.767
    Intensity(mL/kg/h)30.1±4.729.6±4.030.2±4.80.43831.0±6.530.2±4.131.5±5.029.6±4.30.320
    Duration (days)11.7±13.620.8±16.79.6±11.9<0.0018.0±9.09.9±10.28.5±9.713.1±14.90.148
    Sepsis121(56.0%)22(55.0%)99(56.2%)1.00013(50.0%)9(60.0%)11(42.3%)88(59.1%)0.388
    APACHE III at start70.7±18.660.0±15.673.2±18.4<0.00156.5±16.069.9±18.866.6±19.374.0±17.7<0.001
    SAPS II at start49.4±10.842.7±9.150.9±10.6<0.00145.8±9.849.0±8.548.2±13.250.2±10.70.055
    SOFA at start8.8±2.97.0±2.49.2±2.9<0.0017.1±3.17.9±3.08.5±3.09.2±2.70.003
    MAP59.5±17.074.4±19.956.0±14.2<0.00164.8±18.256.9±15.560.7±14.558.6±17.30.403
Supportive cares
    Ventilator197(91.2%)26(65.0%)171(97.2%)<0.00124(92.3%)15(100%)25(96.2%)133(89.3%)0.395
    Vasopressors133(61.6%)14(35.0%)119(67.6%)<0.00114(53.8%)10(66.7%)17(65.4%)92(61.7%)0.806
Prognostic Factors
    pH7.23±0.097.26±0.097.20±0.08<0.0017.24±0.087.22±0.077.23±0.117.20±0.080.038
    Potassium (mEq/L)4.7±0.84.5±0.74.8±0.80.1044.6±0.74.6±0.64.6±0.94.8±0.80.386
    BUN (mg/dL)42.7±17.741.6±15.242.9±18.20.89042.4±18.038.6±22.638.1±16.543.9±17.20.264
    Creatinine (mg/dL)2.2±1.42.9±2.12.0±1.10.0021.1±0.41.2±0.51.6±0.72.6±1.5<0.001
    Urine/kg/h (cc)0.7±0.60.8±0.70.7±0.50.3001.5±0.71.1±0.40.7±0.40.5±0.4<0.001
    Lactate (mmol/L)2.5±1.81.7±1.22.7±1.9<0.0012.1±1.32.7±1.73.1±2.72.5±1.70.378
    WBC (x103/μL)17.1±10.216.5±11.917.2±9.80.37714.8±9.118.5±9.915.6±9.617.6±10.50.296
    Platelet (x103/μL)109.0±96.6168.2±127.895.5±82.7<0.001131.5±136.6136.9±117.1103.9±76.3103.1±89.00.582
    PF ratio159.4±87.2197.8±63.1150.7±89.6<0.001146.4±75.5146.0±98.3161.9±97.9162.6±86.50.725
    TB (mg/dL)1.5±1.41.1±0.91.6±1.50.0261.1±1.41.8±1.41.9±1.91.5±1.30.014
Mortality176(81.5%)20(76.9%)15(100%)23(88.5%)118(79.5%)20.163

n, number; FB, Flame Burn; SB, Scald Burn; EB, Electrical Burn; ChB, Chemical Burn; CoB, Contact Burn; %TBSA burned, percentage of total body surface area burned; LOSICU, length of stay in ICU stay; LOS, length of hospital stay

n, number; FB, Flame Burn; SB, Scald Burn; EB, Electrical Burn; ChB, Chemical Burn; CoB, Contact Burn; %TBSA burned, percentage of total body surface area burned; LOSICU, length of stay in ICU stay; LOS, length of hospital stay We also divided into groups according to AKIN stage. There were significant differences in the percentage of TBSA burned, ABSI score, APACHE III score and SOFA score at CRRT start. In prognostic factors, pH, creatinine, urine per body weight per hour and total bilirubin showed significant differences among AKIN stages. (Table 1) The order of indications for CRRT was hyperlactatemia, acidosis, azotemia, oliguria, hyperkalemia, volume overload and hyperkalemia. The proportion of oliguria and hypercreatinemia were increased statistical significantly as AKIN stages (p <0.001). (Table 2).
Table 2

Indication for CRRT application according to AKIN stage.

Total(n = 216)AKIN0(n = 26)AKIN1(n = 15)AKIN2(n = 26)AKIN3(n = 149)p-value
Acidosis110(50.9%)10(38.5%)6(40.0%)13(50.0%)81(54.4%)0.385
Azotemia108(50.0%)14(53.8%)5(33.3%)11(42.3%)78(52.3%)0.429
Oliguria97(44.9%)1(3.8%)0(0%)10(38.5%)86(57.7%)<0.001
Hyperkalemia32(17.8%)3(11.5%)1(6.7%)3(11.5%)25(16.85%)0.640
Overload58(26.9%)10(38.5%)7(46.7%)3(11.5%)38(25.5%)0.046
Hypercreatinemia90(41.7%)1(3.8%)1(6.7%)7(26.9%)81(54.4%)<0.001
Hyperlactatemia117(54.2%)11(42.3%)9(60.0%)17(65.4%)80(53.7%)0.390

Characteristics and prognostic factors between AKI and non-AKI group

We also divided into survivor and non-survivor group according to the presence of AKI. In the non-AKI group (AKIN stage 0), the non-survivors had significantly more severe acidosis (7.21 vs. 7.32, p = 0.043), lower creatinine levels (1.0 mg/dL vs. 1.4 mg/dL, p = 0.021), higher lactate levels (2.4 mmol/L vs. 1.1 mmol/L, p = 0.001), lower platelet counts (92,000/μL vs. 263,000/μL, p = 0.039) and a lower PF ratio (124.7 vs. 218.7, p = 0.021) than the survivors. In the AKI group (AKIN stage 1 to 3), significant survival-related differences were observed for pH (7.25 vs. 7.20, p = 0.003), serum potassium levels (4.5 mEq/L vs. 4.8 mEq/L, p = 0.039), serum creatinine levels (3.2 mg/dL vs 2.2 mg/dL, p = 0.001), serum lactate levels (1.8 mmol/L vs. 2.8 mmol/L, p = 0.001), platelet counts (151,400/μL vs. 96,000/μL, p < 0.001), PF ratio (194.1 vs. 154.0, p = 0.001), and total bilirubin levels (1.2 mg/dL vs. 1.6 mg/dL, p = 0.034) (Table 3).
Table 3

Patients’ characteristics and prognostic factors of the non-AKI and AKI group.

Non-AKI(N = 26)p-valueAKI (N = 190)p-value
Survivor(N = 6)Non-Survivor(N = 20)Survivor(n = 34)Non-Survivor(n = 156)
Mean age (years)49.8±16.254.0±17.90.62055.1±13.952.3±14.90.319
Sex (male:female)6:018:21.00030:4132:240.785
Weight68.0±13.667.0±14.30.88068.8±8.168.2±11.40.400
TBSA burned (%)46.2±22.572.3±21.90.02233.4±23.358.9±23.1<0.001
Inhalation Injury4(66.7%)9(45.0%)0.64212(35.35)78(50.0%)0.172
ABSI score9.5±1.912.6±1.80.0068.3±2.511.0±2.2<0.001
APACHE at admission54.5±13.553.4±13.50.85645.9±19.253.6±19.40.074
SAPS at admission42.0±10.942.8±7.80.85237.9±9.643.7±9.90.002
LOSICU (days)47.3±31.825.1±38.20.00560.9±32.821.8±19.9<0.001
LOS (days)75.0±46.825.1±38.20.00389.9±43.121.8±20.0<0.001
CRRT
    Initiation day13.0±6.29.9±6.50.15116.7±12.911.8±14.10.131
    Intensity(mL/kg/h)30.4±5.931.2±6.70.80029.5±3.730.0±4.50.400
    Duration6.5±4.68.4±10.10.95123.4±16.99.8±12.1<0.001
    Sepsis1(16.7%)12(60.0%)0.16321(61.8%)87(55.8%)0.654
    APACHE III at start45.5±18.559.8±14.00.05362.5±13.874.9±18.2<0.001
    SAPS II at start40.2±9.947.5±9.30.03243.2±9.051.3±10.7<0.001
    SOFA at start4.7±2.37.8±3.00.0217.4±2.29.4±2.8<0.001
    MAP80.1±23.260.2±14.00.01573.8±19.555.5±14.1<0.001
Supportive cares
    Vasopressors1(16.7%)13(65.0%)0.10613(38.25)106(67.9%)0.002
    Ventilator4(66.7%)20(100.0%)0.07022(64.7%)151(96.85)<0.001
Prognostic Factors
    pH7.32±0.107.21±0.050.0437.25±0.087.20±0.090.003
    Potassium (mEg/L)4.7±0.64.5±0.70.4874.5±0.74.8±0.80.039
    BUN (mg/dL)46.7±21.941.1±17.00.50940.7±14.043.2±18.40.617
    Creatinine (mg/dL)1.4±0.51.0±0.30.0213.2±2.22.2±1.10.001
    Urine/kg/h (cc)1.9±0.71.4±0.60.1440.6±0.40.6±0.40.524
    Lactate (mmol/L)1.1±0.52.4±1.30.0011.8±1.32.8±1.90.001
    WBC (x103/μL)10.9±5.615.9±9.70.23917.5±12.517.4±9.80.688
    Platelet (x103/μL)263.0±224.892.0±64.30.039151.4±98.696.0±85.0<0.001
    PF ratio218.7±105.4124.7±49.20.021194.1±54.1154.0±93.10.001
    TB (mg/dL)0.8±0.31.3±1.60.9511.2±1.01.6±1.50.034

n, number; %TBSA burned, percentage of total body surface area burned; LOSICU, length of stay in ICU stay; LOS, length of hospital stay

n, number; %TBSA burned, percentage of total body surface area burned; LOSICU, length of stay in ICU stay; LOS, length of hospital stay We also compared non-AKI and AKI groups among survivors. There were statistical differences in the duration of CRRT (6.5 days vs. 23.4 days; p = 0.003), APACHE III score (45.5 vs. 62.5; p = 0.011), and SOFA score (4.7 vs. 7.4; p = 0.008) at the start, creatinine level (1.4 mg/dL vs. 3.2 mg/dL; p = 0.006), and urine output (1.9 cc/kg/h vs, 0.6 cc/kg/h; p = 0.008).

AUC of ROC curve of the prediction of mortality at the time of CRRT application

AUCs were calculated to evaluate the accuracy of mortality prediction. Overall, the AUC of platelets was highest at 0.730 and the next was lactate at 0.700. In the non-AKI group, the AUCs of pH and lactate were 0.833, while the AUC was 0.829 for creatinine, 0.817 for the PF ratio, and 0.783 for platelets. In the AKI group, the AUC of platelets was 0.715, creatinine was 0.681, lactate was 0.678, the PF ratio was 0.675, and pH was 0.65. The AUCs of the non-AKI group was higher those of the AKI group for the factor mentioned above. (Table 4)
Table 4

AUC of ROC curve for the prediction of mortality at the time of CRRT application.

AUC (95% CI)in TotalAUC (95% CI)in non-AKIAUC (95% CI)in AKI
pH0.680(0.588–0.773)0.833(0.596–1.000)0.657(0.559–0.756)
Potassium0.582(0.490–0.674)0.358(0.111–0.606)0.613(0.515–0.710)
BUN0.507(0.416–0.598)0.375(0.098–0.6520.527(0.433–0.622)
Creatinine0.656(0.561–0.750)0.829(0.587–1.072)0.681(0.582–0.780)
Urine0.553(0.454–0.651)0.675(0.419–0.931)0.535(0.431–0.639)
Lactate0.700(0.610–0.790)0.833(0.671–0.996)0.678(0.578–0.779)
WBC0.545(0.447–0.643)0.658(0.426–0.891)0.522(0.416–0.628)
Platelet0.730(0.647–0.813)0.783(0.499–1.000)0.715(0.627–0.803)
PF ratio0.696(0.624–0.767)0.817(0.504–1.000)0.675(0.599–0.751)
TB0.613(0.517–0.709)0.508(0.272–0.745)0.616(0.509–0.723)

Predictors of mortality according to the presence of AKI

To perform logistic regression analysis for the association of different factors with mortality, clinical factors were categorized as follows; pH of <7.2, BUN of >40 mg/dL, urine output of <1.0 mL/kg/h, potassium level of >5.0 mEq/L, creatinine level of >2.0 mg/dL, lactate level of >2 mmol/L, PF ratio of <200, WBC counts of >12,000/μL, platelet counts of <100,000/μL, and total bilirubin of >1.2 mg/dL. Creatinine and lactate levels were categorized differently at >1.2 mg/dL and >1.5 mmol/L in the non-AKI group. Among all patients who received CRRT, the significant factors in the univariate logistic regression analysis were a pH of <7.2 (OR: 2.932, p = 0.004), potassium levels of >5.0 mEg/L (OR: 2.438, p = 0.045), creatinine levels of >2.0 mg/dL (OR: 0.400, p = 0.011), lactate levels of >2 mmol/L (OR: 3.992, p < 0.001), a PF ratio of <200 (OR: 2.089, p = 0.042), and platelet counts of <100,000/μL (OR: 3.980, p <0.001). Furthermore, in the univariate logistic regression analysis for the non-AKI group, creatinine levels of >1.2 mg/dL (OR: 0.035, p = 0.008), lactate levels of >1.5 mmol/L (OR: 11.667, p = 0.040), a PF ratio of <200 (OR: 18.000, p = 0.011), and platelet counts of <100,000/μL (OR: 11.667, p = 0.040) were significant factors. The significant factors in the AKI group were pH of <7.2 (OR: 2.777, p = 0.011), potassium levels of >5.0 mEg/L (OR: 3.248, p = 0.021), creatinine levels of >2.0 mg/dL (OR: 0.351, p = 0.009), lactate levels of >2 mmol/L (OR: 3.256, p = 0.003), and platelet counts of <100,000/μL (OR: 3.425, p = 0.002). The presence of sepsis, which is a known risk factor, was not significantly associated with mortality in this study group. (Table 5).
Table 5

Univariate logistic regression for predicting mortality according to presence of AKI.

TotalNon-AKIAKI
OR (CI 95%)p-valueOR (CI 95%)p-valueOR (CI 95%)p-value
pH2.932(1.400–6.137)0.0044.091(0.402–41.658)0.2342.777(1.266–6.091)0.011
BUN1.000(0.503–1.987)1.0000.164(0.016–1.666)0.1261.300(0.616–2.741)0.491
Urine output1.556(0.724–3.347)0.2571.667(0.155–17.894)0.6731.499(0.585–3.845)0.399
Potassium2.438(1.018–5.838)0.0450.500(0.066–3.770)0.5013.248(1.190–8.863)0.021
Creatinine0.400(0.198–0.807)0.0110.035(0.003–0.149)0.0080.351(0.160–0.769)0.009
Lactate3.992(1.873–8.510)<0.00111.667(1.112–122.381)0.0403.256(1.482–7.155)0.003
PF ratio2.089(1.026–4.255)0.04218.000(1.917–168.991)0.0111.576(0.726–3.419)0.250
WBC1.076(0.529–2.190)0.8392.444(0.361–16.547)0.3600.903(0.410–1.992)0.801
Platelet3.980(1.931–8.200)<0.00111.667(1.112–122.381)0.0403.425(1.587–7.390)0.002
Bilirubin2.082(0.995–4.357)0.0511.250(0.112–13.924)0.8562.145(0.979–4.699)0.056
Sepsis1.052(0.527–2.098)0.8867.500(0.733–76.773)0.0900.781(0.365–1.670)0.523

OR, Odd Ration; CI, confidence interval

OR, Odd Ration; CI, confidence interval

Discussion

CRRT was developed to remove metabolic waste and water from patients with AKI, although it is also used as a life-saving intervention for critically ill patients with hypercatabolism and volume overload[7, 12]. Despite the fact that appropriate CRRT can improve outcomes for critically ill patients, the mortality rate among patients who received CRRT in the present study (81.5%) was noticeably higher than the rates of 35–55% in other studies of critically ill patients who were not burned and received CRRT[13, 14]. However, the mortality rate in the present study is within the range of 73–100% from another study of burned patients with AKI[15]. Thus, it is important to understand the clinical factors that can predict prognosis after CRRT, as patients with severe burns still have a high risk of mortality, despite improvements in intensive care and CRRT. The present study revealed that mortality was predicted by pH, creatinine level, and lactate and platelet counts. In this context, acidosis, hyperlactatemia, and thrombocytopenia generally reflect the severity of organ dysfunction and are associated with poorer prognoses. The present study revealed that high creatinine levels were associated with a lower risk of mortality. Previous studies have also reported that creatinine levels of >3 mg/dL were associated with a lower risk of mortality[16] and that high serum creatinine levels independently predicted better outcomes[17, 18]. However, it is not clear why high creatinine levels are associated with better outcomes. It is possible that high serum creatinine levels reflect the presence of fewer comorbid conditions that produce creatinine (e.g., liver disease, reduced muscle mass, and aging) [18]. Furthermore, lower serum creatinine levels at the start of CRRT might indicate fluid overload, which is associated with a poorer prognosis [19]. We also found that platelet count was a statistically significant factor in both the AKI and non-AKI group. Thrombocytopenia is associated with higher risks of mortality in sepsis cases[20] and ARDS cases[21], and thrombocytopenia may reflect the severity of the disease if CRRT is performed regardless of AKI; this could explain the importance of thrombocytopenia as a risk factor. In large multicenter study [22], there were no significant differences in mortality, recovery of kidney function, and the rate of nonrenal organ failure between intensive (mean 35.8 ml/kg/h) and less intensive (mean 22.0 mL/kg/h) renal replacement therapy in ICU patients with AKI. However, because most burn patients are generally highly metabolic and have experienced shock or developed ALI/ARDS at the time of CRRT, some burn centers reported that those in shock were prescribed a high intensity dose with a mean 63 mL/kg/h while those not in shock received a mean of 46 mL/kg/h [23]. Our center performed CRRT with a mean intensity of 30.1 mL/kg/h, which was more consistent with a large multicenter study [22], and we did not evaluate the effect of the higher intensity dose of CRRT in this study. In the present study, one patient without AKI was included in the hypercreatinemia group and oliguria group (Table 2). A patient included in the hypercreatinemia group because the baseline creatinine which was measured within 3 months before the burn injury was very high at 1.95 mg/dL and 2.3 mg/dL at CRRT initiation and 2.1 mg/dL at diagnosis within 48 hours. A patient included in the oliguria group (<0.5 mL/kg/h over 24 hours) had 0.54 mL/kg/h for 6 hours, 0.62 mL/kg/h for 12 hours, and 0.31 mL/kg/h for 24 hours; as the creatinine level was normal, we did not diagnose AKI. It is also interesting that CRRT durations among survivors were 6.5 days in the non-AKI group and 23.4 days in the AKI group. This may be related to the fact that CRRT clearance of metabolic waste was achieved within a week for the non-AKI group, which was associated with a good prognosis. In addition, CRRT was used for renal replacement in the AKI group and renal function returned to normal in approximately 3 weeks, which is also associated with a good prognosis. Therefore, the duration of the CRRT application was different depending on its purpose. The initiation day of CRRT in survivors was not significantly different; however, it was earlier in the non-AKI group (13.0 days vs. 16.7 days) and the SOFA and APACHE III scores significantly lower in non-AKI group. From these results, we inferred that it may be effective to provide renal support using CRRT before the patient deteriorates enough to require renal replacement with CRRT. The present study has several limitations. First, we did not have definitive data regarding the indications for CRRT, as it was often based on the discretion of the attending physician, which increases the risk of selection bias. Second, the retrospective single-center design is also associated with known risks of bias. However, many patients with severe burns throughout Korea are transferred to our center, as it is the only university-affiliated burn center and has been designated as “The Emergency Center for Burn Care” by the Korean Ministry of Health, Welfare, and Family Affairs. Thus, it is possible that our findings are representative of all Korean burn cases. Third, we did not evaluate the effect of CRRT on survival. Therefore, we cannot determine the usefulness of CRRT in severely burned patients. However, we believe that CRRT is able to improve the condition of those who are in need of CRRT. We hope to perform further studies of severely burned patients to validate the findings of the present study.

Conclusion

In conclusion, CRRT is an important treatment for critically ill patients and burn cases, which have a high risk of mortality. The present study’s results indicate that, among burn cases with AKI that received CRRT as renal replacement, poor outcomes were associated with a pH of <7.2, potassium levels of <5.0 mEg/L, lactate levels of >2 mmol/L, and a platelet count of <100,000/μL, while good outcomes were associated with creatinine levels of >2 mg/dL. Among burn cases without AKI that received CRRT for renal support, poor outcomes were associated with lactate levels of >1.5 mmol/L, a PF ratio of <200, and a platelet count of <100,000/μL, while good outcomes were associated with creatinine levels of >1.2 mg/dL. The start time, duration of the CRRT application, and the requirement for either renal replacement or support at CRRT initiation are other important considerations depending on its purpose.

Datasets of this study.

(XLSX) Click here for additional data file.
  23 in total

Review 1.  Continuous renal replacement therapy in critically ill patients.

Authors:  C Ronco; R Bellomo; Z Ricci
Journal:  Nephrol Dial Transplant       Date:  2001       Impact factor: 5.992

Review 2.  Burn wound infections.

Authors:  Deirdre Church; Sameer Elsayed; Owen Reid; Brent Winston; Robert Lindsay
Journal:  Clin Microbiol Rev       Date:  2006-04       Impact factor: 26.132

3.  Epidemiology and prognostic factors of critically ill patients treated with hemodiafiltration.

Authors:  Stéphane Soubrier; Olivier Leroy; Patrick Devos; Saad Nseir; Hugues Georges; Thibaud d'Escrivan; Benoit Guery
Journal:  J Crit Care       Date:  2006-03       Impact factor: 3.425

4.  A pilot study of coupled plasma filtration with adsorption in septic shock.

Authors:  Claudio Ronco; Alessandra Brendolan; Gerhard Lonnemann; Rinaldo Bellomo; Pasquale Piccinni; Antonio Digito; Maurizio Dan; Marco Irone; Giuseppe La Greca; Paola Inguaggiato; Umberto Maggiore; Concetta De Nitti; Mary Lou Wratten; Zaccaria Ricci; Ciro Tetta
Journal:  Crit Care Med       Date:  2002-06       Impact factor: 7.598

5.  Intensity of renal support in critically ill patients with acute kidney injury.

Authors:  Paul M Palevsky; Jane Hongyuan Zhang; Theresa Z O'Connor; Glenn M Chertow; Susan T Crowley; Devasmita Choudhury; Kevin Finkel; John A Kellum; Emil Paganini; Roland M H Schein; Mark W Smith; Kathleen M Swanson; B Taylor Thompson; Anitha Vijayan; Suzanne Watnick; Robert A Star; Peter Peduzzi
Journal:  N Engl J Med       Date:  2008-05-20       Impact factor: 91.245

6.  The effect of the selective cytopheretic device on acute kidney injury outcomes in the intensive care unit: a multicenter pilot study.

Authors:  James A Tumlin; Lakhmir Chawla; Ashita J Tolwani; Ravindra Mehta; John Dillon; Kevin W Finkel; J Ricardo DaSilva; Brad C Astor; Alexander S Yevzlin; H David Humes
Journal:  Semin Dial       Date:  2012-10-29       Impact factor: 3.455

7.  Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy.

Authors:  Jeong Ho Lee; Ha Yeon Kim; Eun Hui Bae; Soo Wan Kim; Seong Kwon Ma
Journal:  Chonnam Med J       Date:  2017-01-25

8.  Thrombocytopenia is associated with acute respiratory distress syndrome mortality: an international study.

Authors:  Tiehua Wang; Zhuang Liu; Zhaoxi Wang; Meili Duan; Gang Li; Shupeng Wang; Wenxiong Li; Zhaozhong Zhu; Yongyue Wei; David C Christiani; Ang Li; Xi Zhu
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

9.  Continuous renal replacement therapy outcomes in acute kidney injury and end-stage renal disease: a cohort study.

Authors:  Andrew S Allegretti; David J R Steele; Jo Ann David-Kasdan; Ednan Bajwa; John L Niles; Ishir Bhan
Journal:  Crit Care       Date:  2013-06-20       Impact factor: 9.097

10.  Improvement of Oxygenation in Severe Acute Respiratory Distress Syndrome With High-Volume Continuous Veno-venous Hemofiltration.

Authors:  Wenmin Yang; Jie Hong; Qiyi Zeng; Jianping Tao; Feiyan Chen; Run Dang; Yufeng Liang; Zhiyuan Wu; Yiyu Yang
Journal:  Glob Pediatr Health       Date:  2016-05-02
View more
  3 in total

1.  Continuous Renal Replacement Therapy for Hypertension Complicated by Refractory Heart Failure: An Analysis of Safety and Nursing Highlights.

Authors:  Miaoli Zhang; Jingfeng Li
Journal:  Comput Math Methods Med       Date:  2022-09-14       Impact factor: 2.809

2.  Renal Replacement Therapy in Severe Burns: A Multicenter Observational Study.

Authors:  Kevin K Chung; Elsa C Coates; William L Hickerson; Angela L Arnold-Ross; Daniel M Caruso; Marlene Albrecht; Brett D Arnoldo; Christina Howard; Laura S Johnson; Melissa M McLawhorn; Bruce Friedman; Amy M Sprague; Michael J Mosier; David J Smith; Rachel A Karlnoski; James K Aden; Elizabeth A Mann-Salinas; Steven E Wolf
Journal:  J Burn Care Res       Date:  2018-10-23       Impact factor: 1.845

3.  Long-Term Preservation of Renal Function in Septic Shock Burn Patients Requiring Renal Replacement Therapy for Acute Kidney Injury.

Authors:  Filippo Mariano; Consuelo De Biase; Zsuzsanna Hollo; Ilaria Deambrosis; Annalisa Davit; Alberto Mella; Daniela Bergamo; Stefano Maffei; Francesca Rumbolo; Alberto Papaleo; Maurizio Stella; Luigi Biancone
Journal:  J Clin Med       Date:  2021-12-09       Impact factor: 4.241

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.