| Literature DB >> 31533650 |
Hongran Moon1, Ho Jun Chin1,2, Ki Young Na1,2, Kwon Wook Joo1, Yon Su Kim1, Sejoong Kim3,4, Seung Seok Han5.
Abstract
BACKGROUND: Hyperphosphatemia is associated with vascular calcification and bone mineral disorders and is a major concern among patients with chronic kidney disease (CKD). However, the relationship between hyperphosphatemia and renal outcome in non-CKD patients has not been studied. Furthermore, the clinical implications of hyperphosphatemia in relation to the risks of acute kidney injury (AKI), end-stage renal disease (ESRD), and mortality after hospitalization remain unresolved.Entities:
Keywords: Acute kidney injury; End-stage renal disease; Hyperphosphatemia; Mortality; Phosphorus
Year: 2019 PMID: 31533650 PMCID: PMC6751585 DOI: 10.1186/s12882-019-1556-y
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Baseline characteristics of study participants
| Serum phosphorus level | ||||||
|---|---|---|---|---|---|---|
| Variables | Total | 1st quartile | 2nd quartile | 3rd quartile | 4th quartile |
|
| Age (years) | 58.9 ± 17.0 | 61.4 ± 16.1 | 59.5 ± 16.7‡ | 57.6 ± 17.1‡ | 56.5 ± 18.1‡ | < 0.001 |
| Male sex (%) | 52.5 | 57.4 | 55.2 | 50.6‡ | 46.1‡ | < 0.001 |
| Body mass index (kg/m2) | 23.7 ± 3.7 | 23.6 ± 3.7 | 23.8 ± 3.6 | 23.7 ± 3.6* | 23.9 ± 3.9† | 0.002 |
| Comorbidities (%) | ||||||
| Hypertension | 19.0 | 17.9 | 18.6 | 18.4 | 21.5‡ | < 0.001 |
| Diabetes mellitus | 21.9 | 22.5 | 20.8 | 19.7† | 24.5 | < 0.001 |
| History of cardiovascular disease | 6.1 | 5.8 | 6.3 | 6.7 | 5.8 | 0.164 |
| Chronic kidney disease | 8.0 | 8.7 | 7.0* | 7.0* | 9.4 | < 0.001 |
| Medications (%) | ||||||
| ACEi | 1.4 | 1.1 | 1.3 | 1.6 | 1.6 | 0.180 |
| ARB | 6.4 | 5.9 | 6.2 | 6.4 | 7.2* | 0.040 |
| Beta blocker | 5.9 | 4.5 | 6.1† | 6.2† | 7.1‡ | < 0.001 |
| Calcium channel blocker | 7.1 | 6.7 | 6.9 | 7.2 | 7.7* | 0.193 |
| Diuretics | 5.3 | 5.2 | 4.9 | 4.6 | 6.4† | 0.001 |
| Laboratory findings | ||||||
| Hemoglobin (g/dL) | 12.6 ± 2.1 | 12.3 ± 2.2 | 12.8 ± 2.0‡ | 12.9 ± 2.0‡ | 12.7 ± 2.2‡ | < 0.001 |
| Albumin (g/dL) | 3.9 ± 0.6 | 3.7 ± 0.6 | 4.0 ± 0.6‡ | 4.0 ± 0.5‡ | 4.0 ± 0.6‡ | < 0.001 |
| Total cholesterol (mg/dL) | 170.1 ± 47.5 | 157.3 ± 46.4 | 171.2 ± 43.8‡ | 177.5 ± 47.3‡ | 177.2 ± 50.0‡ | < 0.001 |
| Calcium (mg/dL) | 8.6 ± 0.7 | 8.3 ± 0.7 | 8.7 ± 0.6‡ | 8.8 ± 0.5‡ | 8.8 ± 0.7‡ | < 0.001 |
| Phosphorus (mg/dL) | 3.38 ± 0.81 | 2.46 ± 0.41‡ | 3.21 ± 0.14‡ | 3.64 ± 0.11‡ | 4.38 ± 0.73‡ | < 0.001 |
| Creatinine (mg/dL) | 0.82 ± 0.72 | 0.77 ± 0.42 | 0.76 ± 0.57 | 0.77 ± 0.44 | 1.00 ± 1.28‡ | < 0.001 |
| eGFR (mL/min/1.73 m2) | 86.0 ± 35.5 | 88.9 ± 37.4 | 85.6 ± 36.8‡ | 84.6 ± 30.2‡ | 84.4 ± 36.2‡ | < 0.001 |
Comparisons were evaluated using the Kruskal wallis test for categorical variables and analysis of variance for continuous variables (post-hoc analysis of least significant difference between the two groups). The first quartile group served as a reference for the comparison between the two groups
ACEi angiotensin-converting enzyme inhibitor, ARB angiotensin II receptor blocker, eGFR estimated glomerular filtration rate
*P < 0.05; †P < 0.01; ‡P < 0.001, compared with the 1st quartile
Fig. 1Non-linear relationship between serum phosphorus and predicted probability of acute kidney injury (AKI). Fitted line and 95% confidence intervals indicated as solid and shaded areas, respectively
Risk of acute kidney injury according to serum phosphorus level
| Total | eGFR < 60 ml/min/1.73 m2 | eGFR ≥60 ml/min/1.73 m2 | ||||
|---|---|---|---|---|---|---|
| Groups | OR (95% CI) |
| OR (95% CI) |
| OR (95% CI) |
|
| Q1 | 1 (reference) | 1 (reference) | 1 (reference) | |||
| Q2 | 1.16 (1.004–1.340) | 0.044 | 0.99 (0.657–1.480) | 0.946 | 1.18 (1.012–1.383) | 0.034 |
| Q3 | 1.44 (1.237–1.684) | < 0.001 | 1.38 (0.916–2.077) | 0.124 | 1.41 (1.194–1.673) | < 0.001 |
| Q4 | 2.80 (2.435–3.222) | < 0.001 | 2.64 (1.843–3.770) | < 0.001 | 2.60 (2.226–3.038) | < 0.001 |
eGFR estimated glomerular filtration rate, OR odds ratio, CI confidence interval
Fig. 2Kaplan–Meier curves for end-stage renal disease (ESRD) according to quartiles of serum phosphorus
Risk of end-stage renal disease according to serum phosphorus level
| Total | eGFR < 60 ml/min/1.73 m2 | eGFR ≥60 ml/min/1.73 m2 | ||||
|---|---|---|---|---|---|---|
| Groups | HR (95% CI) |
| HR (95% CI) |
| HR (95% CI) |
|
| Q1 | 1 (reference) | 1 (reference) | 1 (reference) | |||
| Q2 | 0.95 (0.609–2.077) | 0.871 | 0.99 (0.464–2.095) | 0.971 | 0.94 (0.323–2.736) | 0.910 |
| Q3 | 1.45 (1.342–4.015) | 0.185 | 0.83 (0.399–1.712) | 0.608 | 2.74 (1.110–6.748) | 0.029 |
| Q4 | 2.34 (1.462–3.750) | < 0.001 | 1.17 (0.654–2.100) | 0.595 | 5.25 (2.361–11.659) | < 0.001 |
eGFR estimated glomerular filtration rate, HR hazard ratio, CI confidence interval
Fig. 3Kaplan–Meier curves for all-cause mortality according to quartiles of serum phosphorus
Risk of all-cause mortality according to serum phosphorus level
| Total | eGFR < 60 ml/min/1.73 m2 | eGFR ≥60 ml/min/1.73 m2 | ||||
|---|---|---|---|---|---|---|
| Groups | HR (95% CI) |
| HR (95% CI) |
| HR (95% CI) |
|
| Q1 | 1 (reference) | 1 (reference) | 1 (reference) | |||
| Q2 | 1.10 (1.002–1.207) | 0.052 | 1.00 (0.761–1.309) | 0.987 | 1.11 (1.008–1.230) | 0.034 |
| Q3 | 1.16 (1.043–1.281) | 0.006 | 1.28 (0.976–1.691) | 0.075 | 1.14 (1.019–1.272) | 0.022 |
| Q4 | 1.35 (1.221–1.486) | < 0.001 | 1.37 (1.064–1.770) | 0.015 | 1.34 (1.199–1.487) | < 0.001 |
eGFR estimated glomerular filtration rate, HR hazard ratio, CI confidence interval