Association Between Admission Serum Phosphate and Risk of Acute Kidney Injury in Critically Ill Patients with Rhabdomyolysis: A Retrospective Study Based on MIMIC-III

DOI: https://doi.org/10.21203/rs.3.rs-1063939/v1

Abstract

Background The incidence of acute kidney injury(AKI) is high in critically ill patients with rhabdomyolysis. Limited evidence was proved of the association between serum phosphate levels at intensive care unit(ICU) admission and the subsequent risk of AKI. Our study aims to assess if serum phosphate level at admission was independently associated with AKI risk in these patients.

Methods This study extracted and analyzed data from Medical Information Mart for Intensive Care-Ⅲ(MIMIC-Ⅲ,version1.4). Rhabdomyolysis was defined as a peak creatine kinase(CK) level higher than 1000 U/L. Serum phosphate was measured within the first day into the ICU and was categorized to 4 groups(<2.6, 2.6-3.4, 3.5-4.5, >4.5mg/dl). AKI was defined according to the Kidney Disease Improving Global Outcome (KDIGO) guidelines. Adjusted smoothing spline plots and multivariate logistic regressions were carried out to explode the association between serum phosphate and risk of AKI. Subgroup analyse was applied to verify the consistency of the association.

Results Three hundred and twenty-one patients(67.8% male) diagnosed as rhabdomyolysis were eligible for this analysis. AKI occurred in 204(63.6%) patients of total. Incidence of AKI with admission serum phosphate groups<2.6, 2.6-3.4, 3.5-4.5 and>4.5mg/dl were 52.6%, 56.8%, 68.4% and 75.9%, respectively. Smoothing spline curve showed that there was a positive curve between the elevated phosphate values and increasing risk of AKI, and there was no threshold saturation effect. In multivariate logistic regression, OR was 1.3(95%CI 1.1-1.6, P=0.012, P trend=0.034) after adjusting confounders. Subgroup analyses proved the consistency of the relationship in these patients except in the strata of creatine kinase.

Conclusion In rhabdomyolysis patients admitted to ICU, serum phosphate level at admission was independently associated with an increased risk of AKI. As phosphate levels rise, the risk of AKI increased.

1. Introduction

Rhabdomyolysis is a kind of muscular disease characterized by muscle damage that results in the leakage of muscle cell contents which include electrolytes, enzymes and myoglobin[1]. When these constituents were released from injured cells into the circulation, physiological functions become disordered and organs suffer damage due to the toxic effects[2]. Rhabdomyolysis is known to have a variety of causes, including strenuous exercise, trauma, tissue compression, surgery, heat stroke, alcoholism, drug intoxication, infection and so on[2, 3]. Rhabdomyolysis can be caused by a number of genetic diseases, which usually appear in childhood, such as sickle cell anemia and myopathy, resulting in enzyme deficiency and inadequate ATP transmission[4, 5]. Rhabdomyolysis due to the novel coronavirus has been detected as a result of the spread of COVID-19 in the past two years[6, 7]. The typical triad of rhabdomyolysis includes muscle pain, muscle weakness and tawny urine, but it has been reported that the triad is only observed in less than 10% of patients and some patients only have asymptomatic increase in serum enzyme level[8, 9].

 

Acute kidney injury(AKI) is one of the most severe complications of rhabdomyolysis. It is estimated that about 13%-50% of patients develop AKI after rhabdomyolysis[1013]. The pathology of AKI secondary to rhabdomyolysis was first reported during World War II, when four cases of crush injury were reported, characterized by diffuse tubular injury with hyperpigmentation followed by renal dysfunction[14]. The mechanisms behind rhabdomyolysis induced AKI are complex. Previous research indicates that these mechanisms may include renal vascular stenosis, ischemic tubular injury and tubular obstruction caused by free myoglobin[5, 9, 15, 16].

 

Phosphorus exists in two forms in the blood, organic phosphorus and inorganic phosphorus. Organophosphates and phospholipids are present in large amounts in blood cells and plasma. Blood phosphorus usually refers to inorganic phosphorus in plasma. Serum phosphate is the item we usually measure, which can reflect the inorganic phosphorus metabolism in the blood[17, 18]. In patients with moderate or severe kidney disease, a higher level of serum phosphate values is commonly seen. Besides, they are correlated with calcification of heart valves and blood vessels, which may result in an increase in cardiovascular events and mortality[19, 20]. Kidney excretion of phosphorus is the key to maintain the balance of blood phosphate. Thus, on one hand, hyperphosphatemia is common in patients with AKI, and on the other hand, hyperphosphatemia could cause AKI itself through acute phosphate nephropathy(APN)[21]. The importance of phosphate are becoming emphasized in patients with rhabdomyolysis. At present, the evidence about the relationship between phosphate and AKI is still insufficient, and there is still a lack of a large number of studies. Therefore, our study focused on the correlation between phosphate values and risk of AKI in rhabdomyolysis patients admitted to the ICU.

2. Methods

2.1 The Database. The data was acquired from Medical Information Mart for Intensive Care(MIMIC-Ⅲ,version1.4), which is a open and public online database. From 2001 to 2012, it collected clinical information on more than 58,000 ICU inpatient visits from 38,645 non-newborn patients and 7875 newborn patients admitted to Beth Israel Deaconess Medical Center, USA[22]. After finishing the National Institutes of Health’s web-based course and the Protecting Human Research Participants exam (no. 29493483), database permission was authorized. The Institutional Review Boards of Beth Israel Deaconess Medical Center (Boston, MA) and the Massachusetts Institute of Technology (Cambridge, MA) approved the project. All patient information is hidden to protect their privacy. We extracted baseline demographics and laboratory data of the patients from database in this study.

2.2 Population Selection. All recruited patients were adult patients with age over eighteen years old. The diagnosis of rhabdomyolysis was based on the 9th International Classification of Diseases (ICD-9) criteria in this study. Rhabdomyolysis was defined according to the peak value of creatine kinase(CK) after admission which was over 1000U/L[2, 23, 24]. Only those who were at first admission for ICU and had been hospitalized for more than two days were admitted into our study.
2.3 Data Extraction. Data of the patients was extracted through Structured Query Language from MIMIC-Ⅲ. Following data was extracted or calculated: vital signs, patient demographics, lab parameters, comorbidities and scoring systems. Baseline data were obtained from patients admitted to the ICU within 24 hours. The following laboratory parameters were extracted: phosphate, creatine kinase(CK), creatine(Cr), blood urea nitrogen(BUN), biocarbonate, hematocrit(HCT), alanine transaminase(ALT), red cell distribution width(RDW), aspartate aminotransferase(AST), hemoglobin(HGB), white blood cell(WBC), calcium, sodium, potassium, lactate and platelet. The comorbidities included hypertension, diabetes, atrial fibrillation(AF), acute heart failure (AHF), acute respiratory distress syndrome (ARDS), acute liver failure(ALF) and stroke. We also extracted age, gender, ethnicity, mean blood pressure (MBP), mean heart rate(HR), mean respiratory rate(RR), mean temperature, mean SPO2, renal replacement therapy(RRT), and length of stay (LOS) in hospital. Sequential organ failure assessment (SOFA) score and acute physiology score Ⅲ (APSⅢ) were calculated for each patient.
2.4 Outcomes. The primary exposure was the serum phosphate value, which is a common indicator, was defined as an initial phosphate value measured within 24h of admission to the ICU. AKI occurring after ICU admission was the primary outcome in this study. The classification of AKI was determined by Kidney Disease Improving Global Outcomes (KDIGO)[25]. An absolute increase in SCr of ≥0.3 mg/dL within 48 hours or≥1.5 times baseline value within 7 days after admission date was used to define AKI[26].
2.5 Statistical Analysis. The measurement data were presented as mean ± standard deviation(SD) or medians, inter quartile range(IQR). They were compared by ANOVA test. The count data were expressed as percentage. Chi-square test was applied to compare between groups. In case of non-normal distribution or variance heterogeneity, non-parametric test was applied between groups, which included Mann-Whitney U test and Kruskal-Wallis test. Baseline characteristics of the patients were stratifed by four phosphate groups(<2.6, 2.6-3.4, 3.5-4.5 and >4.5 mg/dl) based on its distribution. For comparison between groups, group of lowest incidence of AKI (phosphate<2.6mg/dl) was chosen as the reference.
 
We explored the non-linear relationship between AKI and phosphate through a generalized additive model (GAM) with an adjustment for potential confounders. A smoothing spline plot was created. Then we used a multivariate logistic regression model to ascertain whether there was a significant association between AKI and phosphate. Non-adjusted and adjusted odds ratio(OR) as well as 95 percent confidence interval (95%CI) were applied to present the results. Two different kinds of adjusted multivariate models were created according to the four phosphate groups for each endpoint. Variables were chosen as potential confounders based on epidemiological and biological background. After that these confounders were used to generate the adjusted models based on changes of statistical effect estimation over 10 percent[27]. In model I, age and gender were adjusted as conventional variables. In model II, more meaningful variables were added for adjustment including age, gender, ethnicity, CK, CR, BUN, calcium, potassium, HCT, bicarbonate, RDW, hypertension, AF, stroke, SOFA score and APSⅢ score. To perform tests for liner trend, we entered the median value of each level of phosphate in the models as a continuous variable. To explode the effect of phosphate differing across various subgroups, subgroup analyses were performed. All subgroups were classifed by age, gender, MAP, HR, RR, Temperature, SPO2, CK, CR, BUN, ALT, AST, bicarbonate, HCT, HGB, calcium, sodium, potassium, WBC, lactate, platelet, hypertension, diabetes, AHF, ALF, AF, stroke, SOFA score and APSⅢ score. Multiplicative interactions were estimated by adding interaction terms according to the likelihood ratio test.

All data were analyzed with EmpowerStats software version 2.2 (X&Y solutions, Inc., Boston, MA) and R sofware(version 3.6). Two-sided P༜0.05 was considered to be statistically significant.

3. Results

3.1 Subject Characteristics According to the admission criteria, three hundred and twenty-one adult patients met the criteria of this study. The screening flow chart is shown in Figure 1.

Baseline data of the patients are shown in Table 1. Based on the values of serum phosphate on admission, all enrolled patients were divided into four groups equally: <2.6mg/dl, 78 patients(24.2%); 2.6-3.4mg/dl, 81 patients(25.2%); 3.5-4.5mg/dl, 79 patients(24.5%) and >4.5mg/dl, 83 patients(25.8%), respectively. Of the 321 patients, the mean age was 53.8±16.9 years. 217(67.6%) patients were male and 104 (32.4%) were female. 221(68.8%) patients were white people and black people 42 (13.1%) were black people. Hispanic and asian people maked up only a small percentage. Further comparison were made among the four different groups. The result showed that patients with higher phosphate levels had older age, higher values of mean SPO2, CK, CR, BUN, AST, potassium, lactate and had lower mean temperature and lower calcium, the p-value was less than 0.05. Moreover, patients with higher phosphate levels tended to have higher SOFA score and APSⅢ score, as well as higher probability of receiving RRT treatment than other patients.

3.2 Incidence of AKI AKI occurred in 204 patients(63.6%) with rhabdomyolysis. The incidence of AKI was 52.6%, 56.8%, 68.4% and 75.9% with phosphate groups <2.6, 2.6-3.4, 3.5-4.5 and>4.5mg/dl, respectively. Patients with phosphate>4.5mg/dl were found to have the highest AKI incidence, with the association preserved for all stages of AKI (Table 1). The characteristics and their comparison with or without AKI are displayed in Table 2. The AKI group had higher phosphate, potassium, CR values, SOFA score and APSⅢ score. They also tended to have AF, to use RRT than non-AKI group and to stay longer in hospital. No differences were observed in most variables between the AKI group and non-AKI gourp(age, gender, ethnicity, MAP, HR, RR, temperature, SPO2, CK, BUN, ALT, AST, platelet, bicarbonate, HCT, HGB, calcium, sodium, potassium, lactate, WBC, RDW, hypertension, diabetes, AHF, ALF, ARDS, stroke, p-value>0.05).
3.3 Characteristics between AKI stage groups We further compared the characteristics of the patients among three stages of AKI (Table 3). Of the 204 patients who developed AKI, 46 patients were in stage 1, 76 patients were in stage 2 and 82 patients were in stage 3. The trend of each stage with the elevated phosphate levels was shown in a line chart in Figure 2. Incidence of AKI showed no single upward or downward trend in stage 1 and stage 2. In stage 1, it presented a gradual decline. Stage 2 showed a trend of rising and then falling, the highest incidence occurred in the second group with phosphate 2.6-3.4mg/dl. Stage 3 showed an obvious upward trend with the increase of phosphate levels. Patients of phosphate more than 4.5mg/dl in stage 3 had the highest incidence of AKI(12.1%). Patients from stage 3 also had higher CK, CR, BUN, bicarbonate, potassium values, SOFA score and APSⅢ score and lower calcium values than the other two stages. ALF, AF and use of RRT were more easily to discover in the stage 3 group.
Table 1

Characteristics of the study population based on four phosphate groups

Characteristics

All

phosphate levels (mg/dL)

P

<2.6

2.6-3.4

3.5-4.5

>4.5

N

321

78

81

79

83

 

Age(year)

53.8 ± 16.9

49.1 ± 16.6

55.2 ± 18.3

53.8 ± 17.2

56.8 ± 14.6

0.026

Gender(n,%)

         

0.97

male

217 (67.6%)

51 (65.4%)

55 (67.9%)

54 (68.4%)

57 (68.7%)

 

female

104 (32.4%)

27 (34.6%)

26 (32.1%)

25 (31.6%)

26 (31.3%)

 

Ethnicity(n,%)

         

0.623

asian

4 (1.2%)

1 (1.3%)

3 (3.7%)

0 (0.0%)

0 (0.0%)

 

hispanic

11 (3.4%)

1 (1.3%)

4 (4.9%)

4 (5.1%)

2 (2.4%)

 

black

42 (13.1%)

10 (12.8%)

9 (11.1%)

13 (16.5%)

10 (12.0%)

 

white

221 (68.8%)

55 (70.5%)

54 (66.7%)

53 (67.1%)

59 (71.1%)

 

other

43 (13.4%)

11 (14.1%)

11 (13.6%)

9 (11.4%)

12 (14.5%)

 

AKI(n,%)

204 (63.6%)

41 (52.6%)

46 (56.8%)

54 (68.4%)

63 (75.9%)

0.008

MAP(mmHg)

82.0 ± 12.1

84.3 ± 13.1

81.9 ± 13.0

81.4 ± 9.5

80.4 ± 12.5

0.223

HR(/min)

92.7 ± 15.4

94.6 ± 16.0

92.5 ± 16.4

91.8 ± 13.6

92.2 ± 15.5

0.674

RR(/min)

19.7 ± 3.8

19.7 ± 3.8

19.4 ± 3.7

19.8 ± 3.4

20.0 ± 4.4

0.756

Temperature(℃)

37.0 ± 0.7

37.3 ± 0.8

37.1 ± 0.6

37.0 ± 0.7

36.8 ± 0.6

0.002

SP02(%)

96.9 ± 3.4

97.3 ± 1.6

96.9 ± 4.0

96.0 ± 4.8

97.4 ± 1.8

0.034

RRT(n,%)

57 (17.8%)

7 (9.0%)

8 (9.9%)

14 (17.7%)

28 (33.7%)

<0.001

LOS in hospital(day)

10.0 (5.9-18.2)

8.8 (5.6-14.9)

8.7 (4.8-16.4)

10.7 (6.3-21.0)

13.6 (7.9-23.1)

0.122

AKI(n,%)

204 (63.6%)

41 (52.6%)

46 (56.8%)

54 (68.4%)

63 (75.9%)

0.008

AKI Stage(n,%)

         

<0.001

1

46 (22.5%)

18 (43.9%)

8 (17.4%)

12 (22.2%)

8 (12.7%)

 

2

76 (37.3%)

13 (31.7%)

26 (56.5%)

21 (38.9%)

16 (25.4%)

 

3

82 (40.2%)

10 (24.4%)

12 (26.1%)

21 (38.9%)

39 (61.9%)

 

Lab parameters

           

CK(U/L)

5143.0 (1744.0-15621.5)

4543.5 (1882.2-12113.2)

3725.0 (1597.0-10204.0)

5832.0 (1743.0-15621.5)

9140.0 (2040.5-32745.0)

<0.001

BUN(mg/dL)

24.0 (15.0-42.0)

21.0 (12.0-30.8)

18.0 (13.0-28.0)

23.0 (17.0-33.0)

56.0 (29.5-77.0)

<0.001

ALT(U/L)

179.0 (52.0-321.7)

94.5 (46.2-321.7)

176.0 (43.0-321.7)

321.7 (62.0-321.7)

196.0 (67.0-321.7)

0.055

AST(U/L)

476.0 (115.0-626.0)

221.0 (98.8-626.0)

339.0 (91.0-626.0)

626.0 (148.0-626.0)

626.0 (149.0-779.5)

0.011

Platelet(1000/mm3)

201.4 (126.0-256.0)

160.5 (104.0-224.0)

228.0 (139.0-266.0)

204.0 (152.0-246.0)

195.0 (123.0-280.0)

0.012

CR(mg/dL)

2.0 ± 1.9

1.3 ± 0.9

1.3 ± 1.0

1.6 ± 1.1

3.8 ± 2.7

<0.001

Bicarbonate(mmol/L)

21.8 ± 5.2

22.5 ± 5.7

23.2 ± 4.8

22.1 ± 4.5

19.3 ± 4.8

<0.001

HCT(%)

34.7 ± 5.6

34.7 ± 5.3

35.1 ± 5.1

35.7 ± 5.8

33.5 ± 6.1

0.09

HGB(g/dL)

11.9 ± 1.9

11.9 ± 1.9

12.2 ± 1.7

12.2 ± 2.0

11.4 ± 2.1

0.043

Calcium(mg/dL)

7.7 ± 1.0

7.4 ± 1.0

7.9 ± 0.9

7.8 ± 0.8

7.6 ± 1.4

0.005

Sodium(mmol/L)

139.5 ± 6.7

140.2 ± 8.3

140.0 ± 6.4

139.7 ± 4.6

138.1 ± 7.0

0.173

Potassium(mmol/L)

4.2 ± 0.9

3.6 ± 0.7

3.9 ± 0.7

4.4 ± 0.7

4.9 ± 1.0

<0.001

Lactate (mmol/L)

2.5 ± 1.7

2.4 ± 1.4

2.5 ± 1.3

2.3 ± 1.1

3.0 ± 2.5

0.039

WBC(109/L)

11.7 ± 5.8

10.6 ± 5.7

11.2 ± 5.1

12.4 ± 5.6

12.7 ± 6.5

0.085

RDW(%)

14.4 ± 1.4

14.1 ± 1.4

14.3 ± 1.5

14.5 ± 1.3

14.6 ± 1.5

0.103

Comorbidities,n(%)

           

Hypertension

118 (36.8%)

21 (26.9%)

36 (44.4%)

28 (35.4%)

33 (39.8%)

0.128

Diabetes

57 (17.8%)

12 (15.4%)

14 (17.3%)

11 (13.9%)

20 (24.1%)

0.335

AHF

24 (7.5%)

2 (2.6%)

10 (12.3%)

4 (5.1%)

8 (9.6%)

0.081

ALF

38 (11.8%)

9 (11.5%)

7 (8.6%)

9 (11.4%)

13 (15.7%)

0.577

AF

42 (13.1%)

4 (5.1%)

17 (21.0%)

9 (11.4%)

12 (14.5%)

0.028

ARDS

4 (1.2%)

0 (0.0%)

1 (1.2%)

1 (1.3%)

2 (2.4%)

0.594

Stroke

29 (9.0%)

5 (6.4%)

13 (16.0%)

5 (6.3%)

6 (7.2%)

0.088

Scoring systems

           

SOFA

5.7 ± 3.8

5.1 ± 3.8

4.7 ± 3.4

5.4 ± 3.8

7.5 ± 3.6

<0.001

APSⅢ

52.7 ± 23.2

48.8 ± 23.4

47.5 ± 21.7

52.3 ± 24.4

61.9 ± 20.8

<0.001

AKI:acute kidney injury;CK:creatine kinase; CR:creatine; BUN:blood urea nitrogen; ALT:alanine transaminase; AST:aspartate aminotransferase; HCT:hematocrit; HGB:hemoglobin; WBC:white blood cell; RDW:red cell distribution width; AHF:acute heart failure; ALF:acute liver failure; AF:atrial fibrillation; ARDS:acute respiratory distress syndrome; MBP:mean blood pressure (MBP); HR:heart rate; RR:respiratory rate; RRT:renal replacement therapy; LOS:length of stay; SOFA:Sequential organ failure assessment; APSⅢ:acute physiology scoreⅢ.

 Table2: Comparison between non-AKI and AKI groups

 

Non-AKI

AKI

P

N

117

204

Age(year)

51.8 ± 17.4

54.9 ± 16.5

0.109

Gender(n,%)

 

 

0.087

male

86 (73.5%)

131 (64.2%)

 

female

31 (26.5%)

73 (35.8%)

 

Ethnicity(n,%)

 

 

0.118

asian

2 (1.7%)

2 (1.0%)

 

hispanci

7 (6.0%)

4 (2.0%)

 

black

17 (14.5%)

25 (12.3%)

 

white

81 (69.2%)

140 (68.6%)

 

other

10 (8.5%)

33 (16.2%)

 

Phosphate(mg/dL)

3.4 ± 1.6

4.1 ± 2.0

<0.001

MAP(mmHg)

83.6 ± 12.7

81.1 ± 11.8

0.078

HR(/min)

90.8 ± 15.5

93.9 ± 15.2

0.080

RR(/min)

19.4 ± 3.2

19.9 ± 4.1

0.216

Temperature(℃)

37.1 ± 0.6

37.0 ± 0.8

0.096

SP02(%)

97.4 ± 1.7

96.6 ± 4.0

0.061

RRT(n,%)

5 (4.3%)

52 (25.5%)

<0.001

LOS in hospital(day)

11.6 ± 15.0

16.5 ± 13.9

0.003

CK(U/L)

4925.0 (2023.0-13643.0)

5705.5 (1713.8-15621.5)

0.075

BUN(mg/dL)

22.0 (11.0-42.0)

25.0 (17.0-42.2)

0.464

ALT(U/L)

106.0 (44.0-321.7)

239.5 (62.5-321.7)

0.083

AST(U/L)

269.0 (115.0-626.0)

624.5 (120.0-626.0)

0.055

Platelet(1000/mm3)

205.0 (145.0-253.0)

198.0 (122.0-257.2)

0.374

CR(mg/dL)

1.1 (0.8-2.1)

1.3 (0.9-2.9)

0.014

Bicarbonate(mmol/L)

22.1 ± 5.1

21.6 ± 5.2

0.361

HCT(%)

34.2 ± 5.5

35.0 ± 5.7

0.242

HGB(g/dL)

11.9 ± 1.8

12.0 ± 2.0

0.703

Calcium(mg/dL)

7.8 ± 0.8

7.6 ± 1.2

0.135

Sodium(mmol/L)

140.1 ± 7.2

139.2 ± 6.4

0.261

Potassium(mmol/L)

4.0 ± 0.8

4.3 ± 1.0

0.005

Lactate(mmol/L)

2.4 ± 1.7

2.6 ± 1.7

0.261

WBC(109/L)

11.0 ± 5.7

12.1 ± 5.9

0.108

RDW(%)

14.3 ± 1.4

14.4 ± 1.5

0.711

Hypertension(n,%)

41 (35.0%)

77 (37.7%)

0.629

Diabetes(n,%)

22 (18.8%)

35 (17.2%)

0.710

AHF(n,%)

7 (6.0%)

17 (8.3%)

0.441

ALF(n,%)

10 (8.5%)

28 (13.7%)

0.167

AF(n,%)

9 (7.7%)

33 (16.2%)

0.030

ARDS(n,%)

0 (0.0%)

4 (2.0%)

0.127

Stroke(n,%)

6 (5.1%)

23 (11.3%)

0.064

SOFA

4.2 ± 2.8

6.5 ± 4.1

<0.001

APSⅢ

43.9 ± 16.7

57.8 ± 24.8

<0.001

AKI:acute kidney injury;CK:creatine kinase; CR:creatine; BUN:blood urea nitrogen; ALT:alanine transaminase; AST:aspartate aminotransferase; HCT:hematocrit; HGB:hemoglobin; WBC:white blood cell; RDW:red cell distribution width; AHF:acute heart failure; ALF:acute liver failure; AF:atrial fibrillation; ARDS:acute respiratory distress syndrome; MBP:mean blood pressure (MBP); HR:heart rate; RR:respiratory rate; RRT:renal replacement therapy; LOS:length of stay; SOFA:Sequential organ failure assessment; APSⅢ:acute physiology scoreⅢ.

 

Table 3

Comparison among patients according to AKI stage

Characteristics

AKI

P

Stage 1

Stage 2

Stage 3

N

46

76

82

 

Age(year)

52.6 ± 16.0

58.3 ± 16.1

53.1 ± 16.9

0.077

Gender(n,%)

     

0.923

male

29 (63.0%)

48 (63.2%)

54 (65.9%)

 

female

17 (37.0%)

28 (36.8%)

28 (34.1%)

 

Ethnicity(n,%)

     

0.851

asian

1 (2.2%)

0 (0.0%)

1 (1.2%)

 

hispanci

5 (10.9%)

12 (15.8%)

8 (9.8%)

 

black

1 (2.2%)

1 (1.3%)

2 (2.4%)

 

white

6 (13.0%)

11 (14.5%)

16 (19.5%)

 

other

33 (71.7%)

52 (68.4%)

55 (67.1%)

 

MAP(mmHg)

82.4 ± 11.3

80.1 ± 11.6

81.3 ± 12.2

0.554

HR(/min)

90.9 ± 16.0

93.7 ± 13.5

95.7 ± 16.1

0.23

RR(/min)

97.4 ± 1.8

97.0 ± 1.8

95.9 ± 5.8

0.067

Temperature(℃)

37.0 ± 0.7

37.1 ± 0.7

36.9 ± 0.8

0.154

SP02(%)

97.4 ± 1.8

97.0 ± 1.8

95.9 ± 5.8

0.067

RRT(n,%)

4 (8.7%)

7 (9.2%)

41 (50.0%)

<0.001

LOS in hospital(day)

11.9 ± 10.5

13.5 ± 9.1

21.8 ± 17.3

<0.001

CK(U/L)

4254.5 (2233.8-15621.5)

3499.0 (1497.8-10327.5)

9285.5 (1799.0-33722.2)

<0.001

BUN(mg/dL)

22.5 (16.0-32.2)

21.0 (14.0-32.0)

38.0 (23.0-57.8)

<0.001

ALT(U/L)

321.7 (56.5-321.7)

120.5 (41.5-321.7)

321.7 (84.8-321.7)

0.446

AST(U/L)

577.5 (102.2-626.0)

310.0 (98.5-626.0)

626.0 (187.0-895.8)

0.155

Platelet(1000/mm3)

202.7 (118.0-250.0)

207.0 (143.8-265.2)

184.5 (113.0-240.8)

0.079

CR(mg/dL)

1.1 (0.8-1.7)

1.0 (0.8-1.7)

2.9 (1.3-4.5)

<0.001

Bicarbonate(mmol/L)

20.8 ± 6.2

22.8 ± 3.7

20.9 ± 5.7

0.04

HCT(%)

35.3 ± 5.3

35.6 ± 5.8

34.4 ± 5.8

0.388

HGB(g/dL)

12.1 ± 1.8

12.1 ± 2.0

11.8 ± 2.1

0.514

Calcium(mg/dL)

7.6 ± 1.3

7.9 ± 1.0

7.4 ± 1.2

0.034

Sodium(mmol/L)

139.9 ± 7.4

139.1 ± 6.6

138.9 ± 5.7

0.669

Potassium(mmol/L)

4.0 ± 1.0

4.2 ± 0.8

4.6 ± 1.0

0.004

Lactate (mmol/L)

2.3 ± 1.7

2.6 ± 1.5

2.7 ± 1.7

0.419

WBC(109/L)

12.3 ± 6.6

12.4 ± 6.1

11.8 ± 5.2

0.834

RDW(%)

14.2 ± 1.6

14.3 ± 1.4

14.6 ± 1.4

0.218

Hypertension(n,%)

13 (28.3%)

36 (47.4%)

28 (34.1%)

0.074

Diabetes(n,%)

8 (17.4%)

16 (21.1%)

11 (13.4%)

0.445

AHF(n,%)

4 (8.7%)

6 (7.9%)

7 (8.5%)

0.984

ALF(n,%)

4 (8.7%)

6 (7.9%)

18 (22.0%)

0.02

AF(n,%)

2 (4.3%)

14 (18.4%)

17 (20.7%)

0.043

ARDS(n,%)

0 (0.0%)

2 (2.6%)

2 (2.4%)

0.55

Stroke(n,%)

5 (10.9%)

11 (14.5%)

7 (8.5%)

0.497

SOFA

4.9 ± 2.9

4.7 ± 3.3

9.1 ± 4.0

<0.001

APSⅢ

48.7 ± 25.4

47.3 ± 16.2

72.5 ± 24.0

<0.001

AKI:acute kidney injury;CK:creatine kinase; CR:creatine; BUN:blood urea nitrogen; ALT:alanine transaminase; AST:aspartate aminotransferase; HCT:hematocrit; HGB:hemoglobin; WBC:white blood cell; RDW:red cell distribution width; AHF:acute heart failure; ALF:acute liver failure; AF:atrial fibrillation; ARDS:acute respiratory distress syndrome; MBP:mean blood pressure (MBP); HR:heart rate; RR:respiratory rate; RRT:renal replacement therapy; LOS:length of stay; SOFA:Sequential organ failure assessment; APSⅢ:acute physiology scoreⅢ.

 

3.4 Risk of AKI and phosphate levels. We built a GAM model and multivariate logistic regression models to ascertain whether admission phosphate values contributed to AKI development. Group of phosphate<2.6mg/dl(lowest incidence of AKI, 52.6%) was used as reference. The relationship between AKI and phosphate was linear after adjusting confounders and the smoothing spline plot showed a positive curve (Figure 3). The results of P trend test were statistically significant according to phosphate levels, so there was no threshold saturation effect on the curve. To test this trend, both unadjusted and adjusted models were created. It was demonstrated that an increasing risk of AKI was associated with phosphate levels (Table 4). In modelⅠ, the adjusted OR(95% CI) according to phosphate groups were 1.2 (0.6, 2.2), 1.9 (1.0, 3.7), and 2.8 (1.4, 5.5) respectively after adjusting for age and gender with P trend value 0.001 in comparison with reference group. In modelⅡ, after adjusting for age, gender, ethnicity, CK, CR, BUN, calcium, potassium, HCT, bicarbonate, RDW, hypertension, AF, stroke, SOFA score and APSⅢ score, a similar trend was observed: the adjusted OR(95% CI) were 1.1 (0.5, 2.4), 2.1 (0.9, 4.5), 2.7 (1.0, 7.4) respectively with P trend value 0.034.

 

Table 4

Association between risk of AKI and phosphate levels in different Logistic regression models

 

Non-adjusted

Adjusted I

Adjusted II

AKI

OR(95% CI)

P

OR(95% CI)

P

OR(95% CI)

P

Phosphate(mg/dL)

1.3 (1.1, 1.4)

0.001

1.3 (1.1, 1.4)

0.001

1.3 (1.1, 1.6)

0.012

Phosphate tertiles

           

<2.6

1.0

 

1.0

 

1.0

 

2.6-3.4

1.2 (0.6, 2.2)

0.593

1.2 (0.6, 2.2)

0.654

1.1 (0.5, 2.4)

0.733

3.5-4.5

1.9 (1.0, 3.7)

0.044

1.9 (1.0, 3.7)

0.049

2.1 (0.9, 4.5)

0.074

>4.5

2.8 (1.5, 5.6)

0.002

2.8 (1.4, 5.5)

0.003

2.7 (1.0, 7.4)

0.050

P trend

0.003

0.001

0.034

ModelⅠadjusted for age and gender.
ModelⅡ adjusted for age, gender, ethnicity, CK, CR, BUN, ALT, AST, bicarbonate, HCT, calcium, potassium, RDW, hypertension, AF, stroke, SOFA, APSⅢ.
OR:odds ratio; CI:confidence interval; AKI:acute kidney injury.

3.5 Subgroup Analyses. To further determine consistency of the relationship, subgroup analyses were performed according to dichotomous variables in patients with rhabdomyolysis. 30 variables were chosen as stratas and were divided into two equal groups (Table 5). CK was the only indicator where a statistically significant interaction was observed(P=0.0196). Patients with CK of more than 4952U/L had a significantly higher risk of AKI(OR 1.5, 95% CI 1.2-1.8), whereas the other strata showed a relatively lower risk of AKI.

Table 5

Subgroup analysis of the association between phosphate and risk of AKI

Characteristic

N

OR (95% CI)

P

P for interaction

Age(year)

     

0.1491

<54.4

160

1.4 (1.1, 1.7)

0.002

 

≥54.4

161

1.1 (0.9, 1.4)

0.218

 

Gender(n,%)

     

0.5891

male

217

1.2 (1.1, 1.5)

0.01

 

female

104

1.4 (1.0, 1.8)

0.03

 

MAP(mmHg)

     

0.7190

<81.7

150

1.2 (1.0, 1.5)

0.037

 

≥81.7

171

1.3 (1.1, 1.6)

0.011

 

HR(/min)

     

0.7002

<92.4

154

1.2 (1.0, 1.5)

0.032

 

≥92.4

167

1.4 (1.1, 1.7)

0.007

 

RR(/min)

     

0.6204

<19.7

152

1.2 (1.0, 1.5)

0.055

 

≥19.7

169

1.3 (1.1, 1.6)

0.009

 

Temperature(℃)

     

0.064

<37.0

152

1.1 (0.9, 1.4)

0.177

 

≥37.0

169

1.5 (1.2, 1.9)

<0.001

 

SPO2(%)

     

0.3585

<97.1

160

1.3 (1.1, 1.7)

0.012

 

≥97.1

161

1.2 (1.0, 1.4)

0.025

 

CK(U/L)

     

0.0196

<4952

160

1.1 (0.9, 1.3)

0.613

 

≥4952

161

1.5 (1.2, 1.8)

<0.001

 

CR(mg/dL)

     

0.1440

<1.3

157

1.6 (1.1, 2.2)

0.007

 

≥1.3

164

1.2 (1.0, 1.4)

0.026

 

BUN(mg/dL)

     

0.3675

<24

155

1.4 (1.1, 1.9)

0.021

 

≥24

166

1.2 (1.0, 1.4)

0.016

 

ALT(U/L)

     

0.5729

<179

160

1.3 (1.1, 1.6)

0.009

 

≥179

161

1.2 (1.0, 1.5)

0.063

 

AST(U/L)

     

0.5714

<476

160

1.3 (1.1, 1.6)

0.013

 

≥476

161

1.2 (1.0, 1.4)

0.065

 

Bicarbonate(mmol/L)

     

0.2816

<22

151

1.2 (1.0, 1.4)

0.03

 

≥22

170

1.4 (1.1, 1.8)

0.007

 

HCT(%)

     

0.8492

<34.6

160

1.3 (1.1, 1.5)

0.012

 

≥34.6

161

1.3 (1.0, 1.6)

0.026

 

HGB(g/dL)

     

0.1872

<11.9

152

1.2 (1.0, 1.4)

0.033

 

≥11.9

169

1.5 (1.1, 1.9)

0.003

 

Calcium(mg/dL)

     

0.0899

<7.7

154

1.2 (1.0, 1.4)

0.059

 

≥7.7

167

1.5 (1.2, 2.0)

0.002

 

Sodium(mmol/L)

     

0.2152

<140

152

1.3 (1.1, 1.6)

0.013

 

≥140

169

1.2 (1.0, 1.4)

0.094

 

Potassium(mmol/L)

     

0.9634

<4

144

1.2 (1.0, 1.6)

0.112

 

≥4

177

1.2 (1.0, 1.5)

0.034

 

Lactate(mmol/L)

     

0.1242

<2.5

138

1.1 (0.9, 1.4)

0.235

 

≥2.5

183

1.4 (1.1, 1.7)

0.001

 

WBC(109/L)

     

0.7838

<11

159

1.3 (1.1, 1.5)

0.009

 

≥11

162

1.2 (1.0, 1.5)

0.056

 

Platelet(1000/mm3)

     

0.7075

<201

160

1.3 (1.1, 1.6)

0.008

 

≥201

161

1.2 (1.0, 1.5)

0.048

 

RDW(%)

     

0.0032

<14.1

158

1.2 (1.0, 1.5)

0.067

 

≥14.1

163

1.3 (1.1, 1.6)

0.005

 

Hypertension(n,%)

     

0.7464

No

203

1.3 (1.1, 1.5)

0.005

 

Yes

118

1.2 (1.0, 1.5)

0.089

 

Diabetes(n,%)

     

0.0496

No

264

1.3 (1.1, 1.5)

0.001

 

Yes

57

1.1 (0.8, 1.5)

0.388

 

AHF(n,%)

     

0.3117

No

297

1.3 (1.1, 1.5)

<0.001

 

Yes

24

1.0 (0.6, 1.6)

0.938

 

ALF(n,%)

     

0.5426

No

283

1.3 (1.1, 1.5)

0.001

 

Yes

38

1.1 (0.8, 1.5)

0.646

 

AF(n,%)

     

0.9371

No

279

1.3 (1.1, 1.4)

0.002

 

Yes

42

1.3 (0.7, 2.3)

0.392

 

Stroke(n,%)

     

0.3265

No

292

1.2 (1.1, 1.4)

0.002

 

Yes

29

1.9 (0.7, 4.8)

0.179

 

SOFA

     

0.4470

<5

140

1.3 (1.0, 1.7)

0.052

 

≥5

181

1.2 (1.0, 1.4)

0.084

 

APS

     

0.3169

<51

158

1.1 (0.9, 1.4)

0.472

 

≥51

163

1.3 (1.0, 1.5)

0.022

 
AKI:acute kidney injury;CK:creatine kinase; CR:creatine; BUN:blood urea nitrogen; ALT:alanine transaminase; AST:aspartate aminotransferase; HCT:hematocrit; HGB:hemoglobin; WBC:white blood cell; RDW:red cell distribution width; AHF:acute heart failure; ALF:acute liver failure; AF:atrial fibrillation; ARDS:acute respiratory distress syndrome; MBP:mean blood pressure (MBP); HR:heart rate; RR:respiratory rate; RRT:renal replacement therapy; SOFA:Sequential organ failure assessment; APSⅢ:acute physiology scoreⅢ.

4. Discussion

In this study, we found a close relationship between phosphate values on admission and risk of AKI in patients with rhabdomyolysis in the ICU. Greater risk of AKI was associated with increasing phosphate levels. Patients with admission phosphate༞4.5 mg/dl were found to have the highest incidence of AKI of total patients. After adjusting for potential covariables, the risk of AKI increased by 1.3 times in all patients and 2.7 fold in the group of the highest phosphate level in accordance with the lowest phosphate level group as reference.

The incidence of AKI varies among reports in patients with rhabdomyolysis. This may be due to the ambiguous definition of rhabdomyolysis and the different ways in which AKI is defined. In addition, the designs, target population and the etiology of rhabdomyolysis vary from study to study. As a result, these differences make the results more difficult to compare. In our study, we focused on the risk of AKI in ICU patients with rhabdomyolysis. AKI is characterized by rapid decline in kidney function in a relatively short time, which differs from chronic kidney disease(CKD). A multi-center retrospective study in France found an incidence of AKI of 81.4% in 387 patients with severe rhabdomyolysis from eight hospital ICU, even higher than 63.6% in ours[28]. However, the inclusion criteria of their study was a minimum serum CK level higher than 5000U/L in 72h following admission[28]. As is evident from our study, critically ill patients with rhabdomyolysis are at high risk of AKI. We also observed that the uptrend between AKI and phosphate levels during stage 3 was consistent with the overall patients uptrend while the trend of stage 1 and stage 2 was not stable. Because patients in stage 3 are more serious, the severity of AKI can be better reflected. In our study, CK, CR, BUN, bicarbonate, potassium values, SOFA score and APSⅢ score are higher in stage 3 than in the other groups, so the trend of AKI incidence in stage 3 was more representative.

Phosphorus is present in cells throughout our body and is involved in almost all physiological and chemical reactions in the body[18]. Electrolyte and mineral imbalances are common in rhabdomyolysis patients. Disturbance of regulatory mechanism can lead to serious outcomes. This mechanism is more pronounced in patients admitted to the ICU, often with severe consequences. Elevated serum phosphate could lead to a range of diseases or increase the risk of diseases. One study analyzed 198 mechanical ventilation patients with severe sepsis or septic shock in ICU and found that time-weighted high serum phosphate increased patient mortality[29]. Charat Thongprayoon et al. found that elevated serum phosphate levels at admission can increase the risk of AKI[30]. In their grouping of phosphate >4.4mg/dl, the OR(95%CI) after multivariate logistic regression adjustment was 1.72(1.20,2.47), which showed that phosphate was a risk factor to the risk of AKI. In our results, in the phosphate >4.5mg/dl group, the adjusted result was 2.7(1.0,7.4), which was similar to the previous result.

The mechanisms responsible for the association between AKI and phosphate are not fully investigated yet. There are several possible explanations for these findings. Rhabdomyolysis and tumolysis syndrome (TLS) are important reasons of elevated phosphate and AKI[31]. Elimination of phosphate through kidney mainly depends on the renal threshold and the filtered load. Elevated levels of phosphate in plasma or renal tubules could lead to calcium-phosphate crystal deposition which bind to the tubular epithelial cells resulting in reactive oxygen damage[32, 33]. Some suggest that it is the main pathway inducing renal impairment[32, 34]. If acute phosphate nephropathy(ATN) occurs during bowel preparation, it has been demonstrated that calcium-phosphate crystal deposition could cause damage to distal tubules and collecting ducts due[35]. Hypocalcemia due to elevated calcium-phosphate can be found in the condition of TLS and rhabdomyolysis[31, 36]. Our study found that with the increase of phosphate level, calcium level decreased, and the mean value of calcium(7.7mg/dl) in this study was lower than the normal standard of 9-11mg/dl. The relationship needs further study and discussion.

Disruption of phosphate metabolism in rhabdomyolysis may be another path for calcium-phosphate deposition due to the phosphate retention. Rhabdomyolysis interferes with oxidative metabolism, which uses phosphate for Adenosine Triphosphate(ATP) production[37]. As a result, muscle damage in rhabdomyolysis causes impaired phosphate use and increases the phosphate load. Masato Higaki et al. considered that interference of phosphate use pathway contributes more significantly to the phosphate load rather than increased phosphate release in rhabdomyolysis[38]. The ATP depletion due to rhabdomyolysis affects the transport of phosphorus and calcium, which can exacerbate calcium-phosphate deposition. Elevated phosphate levels have been found to increase fibroblast growth factor 23(FGF-23)[39]. Elevated FGF23 has been considered a strong predictor of adverse outcomes in patients with CKD and cardiovascular disease in this population[40]. With the further discovery of proinflammatory effects proved by upregulation of hepatic IL-6 production[41], profibrotic effects on the kidneys[42] and impairment of immune function[43], FGF23 is believed to have association with the risk of AKI and have prognostic utility in AKI[44].

In subgroup analysis, no significant interactions were observed except creatine kinase after patients were stratified according to binary grouping based on potential confounding factors. As is known to us, creatine kinase is released from damaged cells when rhabdomyolysis happens. Creatine kinase is also the diagnostic standard for rhabdomyolysis. The level of creatine kinase predicts the severity of rhabdomyolysis. A higher level of creatine kinase indicates severe rhabdomyolysis which is more likely to develop AKI. So the association between creatine kinase and phosphate in developing AKI needs more investigation.

Several limitations exist in this study. (1) Our study was a retrospective single-center study with a relatively homogenous population consisting mainly of white people. Therefore, further study of different ethnic groups is needed to determine the relationship between phosphate and AKI risk. (2) Although the association between the two was indicated, this study could not confirm that elevated serum phosphate level is the cause of AKI, which requires further prospective cohort studies or randomized controlled trial(RCT) studies. (3) Due to the limitations of the database, we could not extract more meaningful variable data, such as myoglobin, which has a more direct effect on the incidence of AKI, so there may be potential unadjusted pathogenic factors.

Conclusions

Serum phosphate level at admission was independently associated with an increased risk of acute kidney injury in critically ill patients with rhabdomyolysis. As phosphate levels rise, the risk of acute kidney injury increased.

Abbreviations

AKI

acute kidney injury

ICU

intensive care unit

MIMIC-Ⅲ

Medical Information Mart for Intensive CareⅢ

CK

creatine kinase

KDIGO

Kidney Disease Improving Global Outcome

APN

acute phosphate nephropathy

ICD-9

9th International Classification of Diseases

CR

creatine

BUN

blood urea nitrogen

ALT

alanine transaminase

AST

aspartate aminotransferase

HCT

hematocrit

HGB

hemoglobin

WBC

white blood cell

RDW

red cell distribution width

AHF

acute heart failure

ALF

acute liver failure

AF

atrial fibrillation

ARDS

acute respiratory distress syndrome

MBP

mean blood pressure (MBP)

HR

heart rate

RR

respiratory rate

RRT

renal replacement therapy

LOS

length of stay

SOFA

Sequential organ failure assessment

APSⅢ

acute physiology score Ⅲ

SD

standard deviation

IQR

inter quartile range

GAM

generalized additive model

OR

odds ratio

CI

confidence interval

TLS

tumolysis syndrome

ATP

Adenosine Triphosphate

FGF23

fibroblast growth factor 23

RCT

randomized controlled trial.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and materials

The datasets used during the current study are available from the corresponding author upon reasonable request.

Funding

Innovation Research of Chinese PLA general hospital(CX19010). 

Health care special research of Chinese PLA(20BJZ27)

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

FHZ designed the idea of the article. TW, CL, ZM and XLW extracted data together from MIMIC-Ⅲ database. TW and CL performed the data cleansing. TW and ZM analyzed the data. TW made the charts and finished the writing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Ms. Jun Zhang assisted the author in writing and revising the manuscript.

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