DOI: https://doi.org/10.21203/rs.3.rs-1063939/v1
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.
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[10–13]. 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.
2.1 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.
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.
3.1 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.
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.
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.
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.
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. |
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.
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.
acute kidney injury
intensive care unit
Medical Information Mart for Intensive CareⅢ
creatine kinase
Kidney Disease Improving Global Outcome
acute phosphate nephropathy
9th International Classification of Diseases
creatine
blood urea nitrogen
alanine transaminase
aspartate aminotransferase
hematocrit
hemoglobin
white blood cell
red cell distribution width
acute heart failure
acute liver failure
atrial fibrillation
acute respiratory distress syndrome
mean blood pressure (MBP)
heart rate
respiratory rate
renal replacement therapy
length of stay
Sequential organ failure assessment
acute physiology score Ⅲ
standard deviation
inter quartile range
generalized additive model
odds ratio
confidence interval
tumolysis syndrome
Adenosine Triphosphate
fibroblast growth factor 23
randomized controlled trial.
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.