| Literature DB >> 35819962 |
Erina Eto1, Yasutaka Maeda1, Noriyuki Sonoda1, Naoki Nakashima2, Kunihisa Kobayashi1, Ryoichi Takayanagi1, Yoshihiro Ogawa1, Toyoshi Inoguchi3.
Abstract
OBJECTIVE: Previous reports have demonstrated the association of serum bilirubin levels with the progression of diabetic nephropathy. The objective of this study is to assess the association of basal bilirubin levels with progressive renal decline (PRD) and end-stage kidney disease (ESKD).Entities:
Mesh:
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Year: 2022 PMID: 35819962 PMCID: PMC9275719 DOI: 10.1371/journal.pone.0271179
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Characteristics of the study subjects at baseline.
| Variables | n | |
|---|---|---|
| Gender (%) | 298 | |
| Male | 163 (55) | |
| Female | 135 (45) | |
| Age (years) | 298 | 63.5 [56–70] |
| Body mass index (kg/ m2) | 264 | 23.5±3.6 |
| Cigarette smoking, current/ past (%) | 280 | 45 (16)/ 82 (29) |
| Duration of follow-up (years) | 298 | 9.0 [5.0–10.0] |
| Type 1 diabetes (%) | 298 | 7 (2) |
| Hemoglobin A1c (mmol/ mol) | 292 | 60 [52–73] |
| Hemoglobin A1c (%) | 292 | 7.7 [7.0–8.9] |
| Duration of diabetes (years) | 239 | 11 [5–18] |
| Systolic blood pressure (mmHg) | 272 | 132±15.0 |
| Diastolic blood pressure (mmHg) | 272 | 74.7±10.6 |
| Presence of hypertension (%) | 285 | 165 (58) |
| Serum LDL cholesterol (mmol/ L) | 276 | 3.05±0.86 |
| Serum triglyceride (mmol/ L) | 297 | 1.34 [0.91–2.13] |
| Serum uric acid (mg/ dL) | 298 | 5.1 [4.0–6.0) |
| Serum total bilirubin (mg/ dL) | 298 | 0.6 [0.5–0.8] |
| Serum creatinine (mg/dL) | 298 | 0.75 [0.61–1.0] |
| Estimated glomerular filtration rate (ml/ min per 1.73 m2) | 298 | 75.1±20.6 |
| High-sensitivity CRP, (ng/ mL) | 246 | 605 [267–1373] |
| ba-Pulse Wave Velocity (cm/ sec) | 259 | 1742 [1494–2086] |
| Neuropathy (%) | 288 | 138 (48) |
| Retinopathy (%) | 292 | 122 (42) |
| None (%) | 170 (58) | |
| Simple (%) | 53 (18) | |
| Preproliferative or proliferative (%) | 69 (24) | |
| Nephropathy | 297 | |
| Normoalbuminuria (%) | 183 (61) | |
| Microalbuminuria (%) | 64 (22) | |
| Macroalbuminuria (%) | 50 (17) | |
| Ischemic heart disease (%) | 296 | 37 (13) |
| Cerebrovascular disease (%) | 296 | 32 (11) |
| Treatment of diabetes (%) | 275 | |
| Diet only | 46 (17) | |
| Oral hypoglycemic agents | 154 (56) | |
| Insulin | 75 (27) | |
| Renin-angiotensin system blockade use (%) | 295 | 106 (36) |
Abbreviations: HbA1c, hemoglobin A1c; LDL cholesterol, low density lipoprotein cholesterol; CRP, C-reactive protein; SI conversion factors: To convert bilirubin to μmol/ L, multiply by 17.104; high-sensitivity CRP to nmol/ L, multiply by 9.524. Data are presented as mean ± S.D. for variables with normal distribution and as median [interquartile range] for variables with non-normally distribution. Nominal data are presented as the total number of patients with percentages.
Multivariate logistic regression model predicting progressive renal decline (PRD).
| Variables | Univariate | Multivariate | ||
|---|---|---|---|---|
| OR (95%CI) |
| OR (95%CI) |
| |
| Serum total bilirubin (/0.1 mg per dL) | 0.876 [0.762–1.000] | 0.0495 | 0.812 [0.670–0.970] | 0.026 |
| Gender (female/male) | 1.035 [0.611–1.754] | 0.898 | 0.900 [0.435–1.854] | 0.771 |
| Age | 1.027 [1.000–1.054] | 0.043 | 1.048 [1.012–1.088] | 0.012 |
| Body mass index | 1.052 [0.974–1.136] | 0.196 | 1.004 [0.910–1.106] | 0.940 |
| Current smoker | 1.370 [0.682–2.753] | 0.382 | 1.722 [0.667–4.318] | 0.251 |
| HbA1c | 1.135 [0.971–1.327] | 0.116 | 1.111 [0.910–1.355] | 0.297 |
| Presence of hypertension | 2.516 [1.396–4.534] | 0.001 | 2.498 [1.248–5.225] | 0.012 |
| Serum LDL cholesterol | 1.000 [0.992–1.008] | 0.946 | 1.004 [0.994–1.014] | 0.459 |
| Serum triglyceride | 1.004 [1.002–1.007] | <0.001 | 1.004 [1.002–1.008] | 0.005 |
| n | 298 | 228 | ||
Abbreviations: HbA1c, hemoglobin A1c; LDL cholesterol, low density lipoprotein cholesterol. SI conversion factors: To convert bilirubin to μmol/ L, multiply by 17.104.
Fig 1Determination of the cut-off value of baseline serum total bilirubin levels for predicting Progressive Renal Decline (PRD) by ROC curve.
The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for progressive renal decline was 0.76, with sensitivity 0.80 and specificity 0.63, and the cut-off value of baseline serum total bilirubin levels were 0.5 mg/dL.
Comparison in variables between two groups divided by the cut-off value of baseline serum total bilirubin levels.
| Variables | Serum total bilirubin levels≤0.5 | Serum total bilirubin levels>0.5 |
| ||
|---|---|---|---|---|---|
| n | n | ||||
| Gender (%) | 108 | 190 | |||
| Male | 52 (48) | 111 (58) | 0.087 | ||
| Female | 56 (52) | 79 (42) | |||
| Age (years) | 108 | 64 [57–72] | 190 | 63 (56–70) | 0.450 |
| Body mass index (kg/ m2) | 98 | 23.6±3.6 | 166 | 23.5±3.6 | 0.414 |
| Cigarette smoking, current/ past (%) | 102 | 19 (19)/40 (39) | 178 | 27 (15)/87 (49) | 0.389/0.118 |
| Duration of follow up (years) | 108 | 8.4 [4.7–10.0] | 190 | 9.1 [5.2–10.0] | 0.411 |
| Hemoglobin A1c (mmol/ mol) | 106 | 60 [55–77] | 186 | 60 [51–69] | 0.179 |
| Hemoglobin A1c (%) | 106 | 7.7 [7.2–9.2] | 186 | 7.7 [6.9–8.5] | 0.179 |
| Duration of diabetes (years) | 91 | 11 [5–19] | 148 | 10 [5–17] | 0.411 |
| Systolic blood pressure (mmHg) | 103 | 132±16.4 | 169 | 132±14.2 | 0.488 |
| Diastolic blood pressure (mmHg) | 103 | 73.4±10.9 | 169 | 75.6±10.4 | 0.950 |
| Presence of hypertension (%) | 104 | 65 (63) | 181 | 100 (55) | 0.233 |
| Serum LDL (mmol/ L) | 99 | 2.97±0.79 | 177 | 3.10±0.90 | 0.902 |
| Serum triglyceride (mmol/ L) | 107 | 1.72 [1.00–2.39] | 190 | 1.28 (0.84–1.81) | 0.003 |
| Serum uric acid (mg/ dL) | 108 | 5.1 [4.0–6.0] | 190 | 5.0 (3.9–6.1) | 0.808 |
| Serum total bilirubin (mg/ dL) | 108 | 0.5 [0.4–0.5] | 190 | 0.7 (0.6–0.9) | <0.001 |
| Estimated glomerular filtration rate (ml/ min per 1.73 m2) | 108 | 71.3±23.0 | 190 | 77.2±18.9 | 0.017 |
| High-sensitivity CRP, (ng/ mL) | 91 | 687 [348–2420] | 155 | 469(243–1130) | 0.004 |
| ba-Pulse Wave Velocity (cm/ sec) | 96 | 1844 [1509–2149] | 163 | 1692 [1492–2042] | 0.132 |
| Neuropathy (%) | 102 | 52 (51) | 186 | 86 (46) | 0.441 |
| Retinopathy (%) | 106 | 186 | |||
| None | 57 (54) | 113 (61) | 0.225 | ||
| Simple | 17 (16) | 36 (19) | 0.489 | ||
| Preproliferative or Proliferative | 32 (30) | 37 (20) | 0.046 | ||
| Nephropathy | |||||
| Microalbuminuria (%) | 86 | 18 (21) | 134 | 46 (34) | 0.033 |
| Macroalbuminuria (%) | 108 | 32 (30) | 189 | 18 (10) | <0.001 |
| Ischemic heart disease (%) | 107 | 13 (12) | 189 | 24 (13) | 0.891 |
| Cerebrovascular disease (%) | 107 | 15 (14) | 189 | 17 (9) | 0.181 |
| Treatment of diabetes (%) | 104 | 171 | |||
| Diet only | 11 (11) | 35 (20) | 0.033 | ||
| Oral hypoglycemic agents | 55 (53) | 99 (58) | 0.417 | ||
| Insulin | 38 (37) | 37 (22) | 0.007 | ||
| Renin-angiotensin system blockade use (%) | 107 | 40 (37) | 188 | 66 (35) | 0.695 |
Abbreviations: HbA1c, hemoglobin A1c; LDL, low density lipoprotein cholesterol; CRP, C-reactive protein; SI conversion factors: To convert bilirubin to μmol/ L, multiply by 17.104; high-sensitivity CRP to nmol/ L, multiply by 9.524. Data are presented as mean ± S.D. for variables with normal distribution and as median [interquartile range] for variables with non-normally distribution.
a Calculated using the chi-squared test.
b Calculated using the Mann-Whitney test.
c Calculated using the unpaired t test.
Fig 2Comparison in renal endpoints between low bilirubin group (≤0.5 mg/dL) and high bilirubin group (>0.5 mg/dL) by Kaplan-Meier method and Cox hazard regression models showing the independence of baseline serum total bilirubin levels to predict renal endpoints.
(a) The cumulative incidence of composite endpoint (end-stage kidney disease or doubling of serum creatinine) levels by Kaplan-Meier method are shown at upper panel. Cox hazards regression model was used to analyze the independence of baseline serum total bilirubin levels to predict the composite endpoint, adjusted for age, gender, BMI, current smoker, HbA1c, the presence of hypertension, LDL-cholesterol, triglyceride levels, and baseline eGFR (shown at lower panel). (b) The cumulative incidence of 30% reduction in estimated glomerular filtration rate by Kaplan-Meier method are shown at upper panel. Cox hazards regression model was used to analyze the independence of baseline serum total bilirubin levels to predict 30% reduction in estimated glomerular filtration rate, adjusted for age, gender, BMI, current smoker, HbA1c, the presence of hypertension, LDL-cholesterol, triglyceride levels, and baseline eGFR (shown at lower panel). T. bil, serum total bilirubin level; HR, hazard ratio; BMI, body mass index; HbA1c, hemoglobin A1c; LDL cholesterol, low density lipoprotein cholesterol, eGFR; estimated glomerular filtration rate. SI con-version factors: to convert bilirubin to μmol/L, multiply by 17.104.