
Journal of Shanghai Jiao Tong University (Medical Science) ›› 2026, Vol. 46 ›› Issue (6): 759-769.doi: 10.3969/j.issn.1674-8115.2026.06.008
• Clinical research • Previous Articles
Feng Linhong1, Wu Di1, Zhu Yingchun1, Xu Jiarui2, Zhang Chong3, Wang Yakun1,3(
)
Received:2025-09-10
Accepted:2026-01-12
Online:2026-06-28
Published:2026-06-29
Contact:
Wang Yakun
E-mail:kyky1818@163.com
Supported by:CLC Number:
Feng Linhong, Wu Di, Zhu Yingchun, Xu Jiarui, Zhang Chong, Wang Yakun. Clinical benefits of icodextrin-based peritoneal dialysis solution and its impact on cardiovascular risk in patients undergoing peritoneal dialysis[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2026, 46(6): 759-769.
Add to citation manager EndNote|Ris|BibTeX
URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2026.06.008
| Item | Total (n=120) | ICO group (n=40) | Control group (n=80) | P value |
|---|---|---|---|---|
| Gender | 0.899 | |||
| Male/n(%) | 62 (51.67) | 21 (52.50) | 41 (51.25) | |
| Female/n(%) | 58 (48.33) | 19 (47.50) | 39 (48.75) | |
| Age/year | 60.25±12.00 | 61.25±8.16 | 59.58±14.13 | 0.080 |
| BMI/(kg·m-2) | 24.14±2.27 | 24.66±1.86 | 23.79±3.25 | 0.296 |
| PD duration/month | 16.5 (9.0, 22.0) | 11.5 (9.0, 20.8) | 17.0 (10.5, 23.8) | 0.342 |
| Smoking/n(%) | 17 (14.17) | 4 (10.00) | 13 (16.25) | 0.583 |
| Comorbidity/n(%) | ||||
| CVD | 23 (19.17) | 9 (22.50) | 14 (17.50) | 0.505 |
| Hypertension | 83 (69.17) | 29 (72.50) | 54 (67.50) | 0.573 |
| Diabetes | 44 (36.67) | 15 (37.50) | 29 (36.25) | 0.894 |
| Cerebral infarction | 7 (5.83) | 2 (5.00) | 5 (6.25) | 0.782 |
| Primary kidney disease/n(%) | 0.260 | |||
| Chronic glomerulonephritis | 58 (48.33) | 17 (42.50) | 41 (51.25) | |
| Diabetic nephropathy | 39 (32.50) | 13 (32.50) | 26 (32.50) | |
| Hypertensive nephropathy | 17 (14.17) | 6 (15.00) | 11 (13.75) | |
| Others | 6 (5.00) | 4 (10.00) | 2 (2.50) | |
| OH/L | 4.35±0.95 | 4.31±0.95 | 4.38±0.97 | 0.809 |
| SBP/mmHg | 142.85±23.92 | 151.88±23.64 | 136.83±22.62 | 0.034 |
| DBP/mmHg | 80.23±12.67 | 83.25±15.22 | 78.21±10.51 | 0.036 |
| Hb/(g·L-1) | 96.12±13.02 | 92.87±14.38 | 98.29±11.85 | 0.202 |
| CRP/(mg·L-1) | 14.14±19.50 | 10.58±12.61 | 16.51±13.04 | 0.057 |
| IL-6/(pg·mL-1) | 24.98±15.08 | 39.57±10.82 | 25.26±13.22 | 0.072 |
| FBG/(mmol·L-1) | 6.45±2.23 | 6.63±3.05 | 6.32±1.52 | 0.712 |
| HbA1c/% | 6.32±1.59 | 6.68±2.17 | 6.08±1.04 | 0.323 |
| Alb/(g·L-1) | 31.82±4.38 | 30.56±4.47 | 32.66±4.2 | 0.146 |
| BUN/(μmol·L-1) | 23.40±5.98 | 22.40±6.04 | 24.37±6.10 | 0.587 |
| TC/(mmol·L-1) | 4.73±1.49 | 4.76±1.38 | 4.70±1.59 | 0.914 |
| TAG/(mmol·L-1) | 1.81±0.94 | 1.84±0.89 | 1.78±1.01 | 0.860 |
| LDL-C/(mmol·L-1) | 2.46±1.06 | 2.42±1.13 | 2.48±1.03 | 0.526 |
| HDL-C/(mmol·L-1) | 1.01±0.35 | 0.95±0.34 | 1.15±0.42 | 0.309 |
| Ca/(mmol·L-1) | 2.21±0.30 | 2.06±0.27 | 2.32±0.28 | 0.871 |
| P/(mmol·L-1) | 1.87±0.61 | 1.93±0.75 | 1.84±0.50 | 0.190 |
| Ca×P/(mg2·dL-2) | 51.00±18.67 | 49.60±21.03 | 51.92±17.33 | 0.376 |
| NT-proBNP/(pg·mL-1) | 7 900 (4 339, 14 025) | 7 650 (4 425, 15 375) | 8 050(4 189, 13 755) | 0.740 |
| PTH/(ng·L-1) | 188.50 (109.25, 305.52) | 175.00 (118.07, 301.0) | 201.15 (87.42, 362.52) | 0.759 |
| SI/(μmol·L-1) | 12.97±4.60 | 11.73±4.47 | 13.80±4.58 | 0.838 |
| TIBC/(μmol·L-1) | 48.94±11.85 | 50.80±12.85 | 47.70±11.24 | 0.547 |
| SF/(ng·mL-1) | 156.50 (67.12, 434.25) | 169.00 (132.50, 417.50) | 143.00 (48.65, 478.50) | 0.438 |
| 24 h urine volume/mL | 500 (50, 1 000) | 550 (313, 1 075) | 495 (0, 950) | 0.351 |
| 24 h ultrafiltration volume/mL | 696 (245, 973) | 660 (401, 938) | 710 (55, 995) | 0.790 |
| rGFR/[mL·(min·1.73 m2)-1] | 0.78±0.84 | 0.53±0.16 | 0.51±0.16 | 0.829 |
| r-Kt/V | 0.40±0.28 | 0.43±0.26 | 0.38±0.29 | 0.513 |
| p-Kt/V | 1.26±0.49 | 1.14±0.51 | 1.35±0.47 | 0.211 |
| t-Kt/V | 1.65±0.40 | 1.55±0.46 | 1.73±0.34 | 0.199 |
| nPCR/(g·kg-1·d-1) | 0.45±0.08 | 0.41±0.06 | 0.48±0.08 | 0.178 |
| Peritoneal transport type/n(%) | 0.874 | |||
| High transport | 42 (35.00) | 14 (35.00) | 28 (35.00) | |
| High average | 51 (42.50) | 18 (45.00) | 33 (41.30) | |
| Low average | 21 (17.50) | 6 (15.00) | 15 (18.70) | |
| Low transport | 6 (5.00) | 2 (5.00) | 4 (5.00) | |
| Baseline medication/n(%) | ||||
| RAS inhibitor | 85 (70.80) | 29 (72.50) | 56 (70.00) | 0.772 |
| β-blocker | 58 (48.30) | 18 (45.00) | 40 (50.00) | 0.602 |
| Calcium channel blocker | 71 (59.20) | 25 (62.50) | 46 (57.50) | 0.598 |
| Diuretic | 45 (37.50) | 14 (35.00) | 31 (38.80) | 0.692 |
| Antiplatelet agent | 38 (31.70) | 11 (27.50) | 27 (33.80) | 0.485 |
| Statin | 52 (43.30) | 16 (40.00) | 36 (45.00) | 0.601 |
| Insulin | 30 (25.00) | 9 (22.50) | 21 (26.30) | 0.654 |
Tab 1 Comparison of baseline clinical characteristics between ICO group and control group
| Item | Total (n=120) | ICO group (n=40) | Control group (n=80) | P value |
|---|---|---|---|---|
| Gender | 0.899 | |||
| Male/n(%) | 62 (51.67) | 21 (52.50) | 41 (51.25) | |
| Female/n(%) | 58 (48.33) | 19 (47.50) | 39 (48.75) | |
| Age/year | 60.25±12.00 | 61.25±8.16 | 59.58±14.13 | 0.080 |
| BMI/(kg·m-2) | 24.14±2.27 | 24.66±1.86 | 23.79±3.25 | 0.296 |
| PD duration/month | 16.5 (9.0, 22.0) | 11.5 (9.0, 20.8) | 17.0 (10.5, 23.8) | 0.342 |
| Smoking/n(%) | 17 (14.17) | 4 (10.00) | 13 (16.25) | 0.583 |
| Comorbidity/n(%) | ||||
| CVD | 23 (19.17) | 9 (22.50) | 14 (17.50) | 0.505 |
| Hypertension | 83 (69.17) | 29 (72.50) | 54 (67.50) | 0.573 |
| Diabetes | 44 (36.67) | 15 (37.50) | 29 (36.25) | 0.894 |
| Cerebral infarction | 7 (5.83) | 2 (5.00) | 5 (6.25) | 0.782 |
| Primary kidney disease/n(%) | 0.260 | |||
| Chronic glomerulonephritis | 58 (48.33) | 17 (42.50) | 41 (51.25) | |
| Diabetic nephropathy | 39 (32.50) | 13 (32.50) | 26 (32.50) | |
| Hypertensive nephropathy | 17 (14.17) | 6 (15.00) | 11 (13.75) | |
| Others | 6 (5.00) | 4 (10.00) | 2 (2.50) | |
| OH/L | 4.35±0.95 | 4.31±0.95 | 4.38±0.97 | 0.809 |
| SBP/mmHg | 142.85±23.92 | 151.88±23.64 | 136.83±22.62 | 0.034 |
| DBP/mmHg | 80.23±12.67 | 83.25±15.22 | 78.21±10.51 | 0.036 |
| Hb/(g·L-1) | 96.12±13.02 | 92.87±14.38 | 98.29±11.85 | 0.202 |
| CRP/(mg·L-1) | 14.14±19.50 | 10.58±12.61 | 16.51±13.04 | 0.057 |
| IL-6/(pg·mL-1) | 24.98±15.08 | 39.57±10.82 | 25.26±13.22 | 0.072 |
| FBG/(mmol·L-1) | 6.45±2.23 | 6.63±3.05 | 6.32±1.52 | 0.712 |
| HbA1c/% | 6.32±1.59 | 6.68±2.17 | 6.08±1.04 | 0.323 |
| Alb/(g·L-1) | 31.82±4.38 | 30.56±4.47 | 32.66±4.2 | 0.146 |
| BUN/(μmol·L-1) | 23.40±5.98 | 22.40±6.04 | 24.37±6.10 | 0.587 |
| TC/(mmol·L-1) | 4.73±1.49 | 4.76±1.38 | 4.70±1.59 | 0.914 |
| TAG/(mmol·L-1) | 1.81±0.94 | 1.84±0.89 | 1.78±1.01 | 0.860 |
| LDL-C/(mmol·L-1) | 2.46±1.06 | 2.42±1.13 | 2.48±1.03 | 0.526 |
| HDL-C/(mmol·L-1) | 1.01±0.35 | 0.95±0.34 | 1.15±0.42 | 0.309 |
| Ca/(mmol·L-1) | 2.21±0.30 | 2.06±0.27 | 2.32±0.28 | 0.871 |
| P/(mmol·L-1) | 1.87±0.61 | 1.93±0.75 | 1.84±0.50 | 0.190 |
| Ca×P/(mg2·dL-2) | 51.00±18.67 | 49.60±21.03 | 51.92±17.33 | 0.376 |
| NT-proBNP/(pg·mL-1) | 7 900 (4 339, 14 025) | 7 650 (4 425, 15 375) | 8 050(4 189, 13 755) | 0.740 |
| PTH/(ng·L-1) | 188.50 (109.25, 305.52) | 175.00 (118.07, 301.0) | 201.15 (87.42, 362.52) | 0.759 |
| SI/(μmol·L-1) | 12.97±4.60 | 11.73±4.47 | 13.80±4.58 | 0.838 |
| TIBC/(μmol·L-1) | 48.94±11.85 | 50.80±12.85 | 47.70±11.24 | 0.547 |
| SF/(ng·mL-1) | 156.50 (67.12, 434.25) | 169.00 (132.50, 417.50) | 143.00 (48.65, 478.50) | 0.438 |
| 24 h urine volume/mL | 500 (50, 1 000) | 550 (313, 1 075) | 495 (0, 950) | 0.351 |
| 24 h ultrafiltration volume/mL | 696 (245, 973) | 660 (401, 938) | 710 (55, 995) | 0.790 |
| rGFR/[mL·(min·1.73 m2)-1] | 0.78±0.84 | 0.53±0.16 | 0.51±0.16 | 0.829 |
| r-Kt/V | 0.40±0.28 | 0.43±0.26 | 0.38±0.29 | 0.513 |
| p-Kt/V | 1.26±0.49 | 1.14±0.51 | 1.35±0.47 | 0.211 |
| t-Kt/V | 1.65±0.40 | 1.55±0.46 | 1.73±0.34 | 0.199 |
| nPCR/(g·kg-1·d-1) | 0.45±0.08 | 0.41±0.06 | 0.48±0.08 | 0.178 |
| Peritoneal transport type/n(%) | 0.874 | |||
| High transport | 42 (35.00) | 14 (35.00) | 28 (35.00) | |
| High average | 51 (42.50) | 18 (45.00) | 33 (41.30) | |
| Low average | 21 (17.50) | 6 (15.00) | 15 (18.70) | |
| Low transport | 6 (5.00) | 2 (5.00) | 4 (5.00) | |
| Baseline medication/n(%) | ||||
| RAS inhibitor | 85 (70.80) | 29 (72.50) | 56 (70.00) | 0.772 |
| β-blocker | 58 (48.30) | 18 (45.00) | 40 (50.00) | 0.602 |
| Calcium channel blocker | 71 (59.20) | 25 (62.50) | 46 (57.50) | 0.598 |
| Diuretic | 45 (37.50) | 14 (35.00) | 31 (38.80) | 0.692 |
| Antiplatelet agent | 38 (31.70) | 11 (27.50) | 27 (33.80) | 0.485 |
| Statin | 52 (43.30) | 16 (40.00) | 36 (45.00) | 0.601 |
| Insulin | 30 (25.00) | 9 (22.50) | 21 (26.30) | 0.654 |
Fig 2 Changes in laboratory parameters and peritoneal dialysis-related indicators between ICO group and control groups before and after peritoneal dialysisNote: A. FBG. B. HbA1c. C. NT-proBNP. D. BMI. E. OH. F. 24-h ultrafiltration volume. G. r-Kt/V. H. t-Kt/V.
| Item | Follow-up time | ICO group① | Control group② | P value |
|---|---|---|---|---|
| PASP/mmHg | Baseline | 34.65±6.87 | 32.55±4.40 | 0.099 |
| 12-month | 34.50±5.95 | 32.98±3.24 | 0.168 | |
| LVEDd/mm | Baseline | 51.38±4.02 | 50.96±4.07 | 0.758 |
| 12-month | 48.94±2.98③ | 51.38±4.35 | 0.045 | |
| LVESd/mm | Baseline | 33.00±7.48 | 33.60±6.12 | 0.683 |
| 12-month | 34.10±5.46 | 34.05±5.41 | 0.968 | |
| IVS/mm | Baseline | 10.50±1.55 | 10.38±1.58 | 0.810 |
| 12-month | 10.81±1.05 | 10.50±1.14 | 0.369 | |
| ARD/mmHg | Baseline | 32.06±2.46 | 31.00±2.23 | 0.155 |
| 12-month | 31.56±1.71 | 31.71±2.00 | 0.796 | |
| LAD/mm | Baseline | 39.38±3.40 | 38.63±3.07 | 0.470 |
| 12-month | 38.63±2.47 | 39.00±2.45 | 0.647 | |
| LVEF/% | Baseline | 57.30±4.50 | 59.30±1.50 | 0.095 |
| 12-month | 60.00±4.50④ | 57.50±2.50⑤ | 0.045 | |
| LVMI/(g·m-2) | Baseline | 117.19±10.52 | 114.29±10.30 | 0.401 |
| 12-month | 107.69±8.47⑥ | 111.71±8.51 | 0.038 |
Tab 2 Comparison of echocardiographic parameters between the ICO group and the control group
| Item | Follow-up time | ICO group① | Control group② | P value |
|---|---|---|---|---|
| PASP/mmHg | Baseline | 34.65±6.87 | 32.55±4.40 | 0.099 |
| 12-month | 34.50±5.95 | 32.98±3.24 | 0.168 | |
| LVEDd/mm | Baseline | 51.38±4.02 | 50.96±4.07 | 0.758 |
| 12-month | 48.94±2.98③ | 51.38±4.35 | 0.045 | |
| LVESd/mm | Baseline | 33.00±7.48 | 33.60±6.12 | 0.683 |
| 12-month | 34.10±5.46 | 34.05±5.41 | 0.968 | |
| IVS/mm | Baseline | 10.50±1.55 | 10.38±1.58 | 0.810 |
| 12-month | 10.81±1.05 | 10.50±1.14 | 0.369 | |
| ARD/mmHg | Baseline | 32.06±2.46 | 31.00±2.23 | 0.155 |
| 12-month | 31.56±1.71 | 31.71±2.00 | 0.796 | |
| LAD/mm | Baseline | 39.38±3.40 | 38.63±3.07 | 0.470 |
| 12-month | 38.63±2.47 | 39.00±2.45 | 0.647 | |
| LVEF/% | Baseline | 57.30±4.50 | 59.30±1.50 | 0.095 |
| 12-month | 60.00±4.50④ | 57.50±2.50⑤ | 0.045 | |
| LVMI/(g·m-2) | Baseline | 117.19±10.52 | 114.29±10.30 | 0.401 |
| 12-month | 107.69±8.47⑥ | 111.71±8.51 | 0.038 |
Fig 3 Comparison of Kaplan-Meier survival curves for cardiovascular mortality (A), MACE incidence (B), all-cause mortality (C), and hospitalization rate (D) between the ICO group and the control group
| Factor | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| HR | 95%CI | P value | HR | 95%CI | P value | |
| Age (per year increase) | 2.50 | 1.38‒3.30 | 0.028 | 2.4 | 1.48‒3.40 | 0.112 |
| PD duration (per month increase) | 3.81 | 2.90‒4.80 | 0.898 | |||
| Diabetes (Yes vs No) | 1.32 | 1.27‒2.80 | 0.039 | 1.23 | 0.98‒3.44 | 0.078 |
| Concomitant CVD (Yes vs No) | 0.41 | 0.17‒0.89 | 0.029 | 1.57 | 1.07‒2.33 | 0.035 |
| Use of ICO (Yes vs No) | 0.41 | 0.28‒0.80 | 0.015 | 0.35 | 0.17‒0.89 | 0.012 |
| High peritoneal transport (Yes vs No) | 1.92 | 1.15‒3.45 | 0.021 | 1.65 | 1.08‒2.89 | 0.045 |
| OH (per 0.1 L increase) | 2.53 | 1.80‒3.40 | 0.104 | |||
| HbA1c (per 1% increase) | 0.72 | 0.39‒0.94 | 0.109 | |||
| Alb (per 1 g·L-1 decrease) | 0.81 | 0.64‒1.15 | 0.541 | |||
| NT-proBNP (per 100 pg·mL-1 increase) | 1.42 | 1.02‒2.50 | 0.024 | 1.38 | 1.13‒2.89 | 0.013 |
| CRP (per 1 mg·L-1 increase) | 1.15 | 1.05‒1.26 | 0.003 | 1.10 | 1.01‒1.20 | 0.054 |
| t-Kt/V (per 0.1 decrease) | 0.83 | 0.33‒0.97 | 0.023 | 0.99 | 0.29‒1.02 | 0.088 |
| r-Kt/V (per 0.1 decrease) | 1.25 | 1.08‒1.45 | 0.003 | 1.15 | 0.98‒1.34 | 0.089 |
| Use of RAS inhibitor (Yes vs No) | 0.55 | 0.31‒0.98 | 0.042 | 0.61 | 0.34‒1.09 | 0.095 |
Tab 3 Aanlysis of risk factors for MACE in patients undergoing PD (n=120, Cox regression model)
| Factor | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| HR | 95%CI | P value | HR | 95%CI | P value | |
| Age (per year increase) | 2.50 | 1.38‒3.30 | 0.028 | 2.4 | 1.48‒3.40 | 0.112 |
| PD duration (per month increase) | 3.81 | 2.90‒4.80 | 0.898 | |||
| Diabetes (Yes vs No) | 1.32 | 1.27‒2.80 | 0.039 | 1.23 | 0.98‒3.44 | 0.078 |
| Concomitant CVD (Yes vs No) | 0.41 | 0.17‒0.89 | 0.029 | 1.57 | 1.07‒2.33 | 0.035 |
| Use of ICO (Yes vs No) | 0.41 | 0.28‒0.80 | 0.015 | 0.35 | 0.17‒0.89 | 0.012 |
| High peritoneal transport (Yes vs No) | 1.92 | 1.15‒3.45 | 0.021 | 1.65 | 1.08‒2.89 | 0.045 |
| OH (per 0.1 L increase) | 2.53 | 1.80‒3.40 | 0.104 | |||
| HbA1c (per 1% increase) | 0.72 | 0.39‒0.94 | 0.109 | |||
| Alb (per 1 g·L-1 decrease) | 0.81 | 0.64‒1.15 | 0.541 | |||
| NT-proBNP (per 100 pg·mL-1 increase) | 1.42 | 1.02‒2.50 | 0.024 | 1.38 | 1.13‒2.89 | 0.013 |
| CRP (per 1 mg·L-1 increase) | 1.15 | 1.05‒1.26 | 0.003 | 1.10 | 1.01‒1.20 | 0.054 |
| t-Kt/V (per 0.1 decrease) | 0.83 | 0.33‒0.97 | 0.023 | 0.99 | 0.29‒1.02 | 0.088 |
| r-Kt/V (per 0.1 decrease) | 1.25 | 1.08‒1.45 | 0.003 | 1.15 | 0.98‒1.34 | 0.089 |
| Use of RAS inhibitor (Yes vs No) | 0.55 | 0.31‒0.98 | 0.042 | 0.61 | 0.34‒1.09 | 0.095 |
| Adverse event type | ICO group (n=40) | Control group (n=80) | P value |
|---|---|---|---|
| Infectious complication | 8 (20.00) | 14 (17.50) | 0.735 |
| Peritonitis | 5 (12.50) | 10 (12.50) | 1.000 |
| Catheter-related infection | 3 (7.50) | 4 (5.00) | 0.584 |
| Non-infectious complication | 7 (17.50) | 14 (17.50) | 1.000 |
| Peritoneal dialysis catheter displacement | 3 (7.50) | 3 (3.75) | 0.393 |
| Severe electrolyte disorder | 2 (5.00) | 4 (5.00) | 1.000 |
| Severe constipation or diarrhea | 2 (5.00) | 7 (8.75) | 0.716 |
Tab 4 Comparison of adverse events between the ICO group and the control group [n(%)]
| Adverse event type | ICO group (n=40) | Control group (n=80) | P value |
|---|---|---|---|
| Infectious complication | 8 (20.00) | 14 (17.50) | 0.735 |
| Peritonitis | 5 (12.50) | 10 (12.50) | 1.000 |
| Catheter-related infection | 3 (7.50) | 4 (5.00) | 0.584 |
| Non-infectious complication | 7 (17.50) | 14 (17.50) | 1.000 |
| Peritoneal dialysis catheter displacement | 3 (7.50) | 3 (3.75) | 0.393 |
| Severe electrolyte disorder | 2 (5.00) | 4 (5.00) | 1.000 |
| Severe constipation or diarrhea | 2 (5.00) | 7 (8.75) | 0.716 |
| [1] | Goossen K, Becker M, Marshall M R, et al. Icodextrin versus glucose solutions for the once-daily long dwell in peritoneal dialysis: an enriched systematic review and meta-analysis of randomized controlled trials[J]. Am J Kidney Dis, 2020, 75(6): 830-846. |
| [2] | Himmelfarb J, Vanholder R, Mehrotra R, et al. The current and future landscape of dialysis[J]. Nat Rev Nephrol, 2020, 16(10): 573-585. |
| [3] | Ahmad M, Shah H, Pliakogiannis T, et al. Prevention of membrane damage in patient on peritoneal dialysis with new peritoneal dialysis solutions[J]. Int Urol Nephrol, 2007, 39(1): 299-312. |
| [4] | Olszowska A, Waniewski J, Stachowska-Pietka J, et al. Long peritoneal dialysis dwells with icodextrin: kinetics of transperitoneal fluid and polyglucose transport[J]. Front Physiol, 2019, 10: 1326. |
| [5] | Kunin M, Beckerman P. The peritoneal membrane: a potential mediator of fibrosis and inflammation among heart failure patients on peritoneal dialysis[J]. Membranes, 2022, 12(3): 318. |
| [6] | Grzywacz A, Lubas A, Smoszna J, et al. Risk factors associated with all-cause death among dialysis patients with diabetes[J]. Med Sci Monit, 2021, 27: e930152. |
| [7] | Chang T I, Ryu D R, Yoo T H, et al. Effect of icodextrin solution on the preservation of residual renal function in peritoneal dialysis patients: a randomized controlled study[J]. Medicine, 2016, 95(13): e2991. |
| [8] | 肖一凡. 基于真实世界的艾考糊精腹膜透析液疗效分析[D]. 沈阳: 中国医科大学, 2024. |
| Xiao Y F. Analysis of the therapeutic effect of icodextrin peritoneal dialysate based on the real world[D]. Shenyang: China Medical University, 2024. | |
| [9] | Morelle J, Sow A, Fustin C A, et al. Mechanisms of crystalloid versus colloid osmosis across the peritoneal membrane[J]. J Am Soc Nephrol, 2018, 29(7): 1875-1886. |
| [10] | Dousdampanis P, Musso C G, Trigka K. Icodextrin and peritoneal dialysis: advantages and new applications[J]. Int Urol Nephrol, 2018, 50(3): 495-500. |
| [11] | 阳晓, 严骏飞, 余学清. 艾考糊精腹透液的临床优势及获益人群[J]. 中华肾脏病杂志, 2021, 37(6): 528-533. |
| Yang X, Yan J F, Yu X Q. Clinical advantages of icodextrin peritoneal dialysis solution and its beneficial population[J]. Chinese Journal of Nephrology, 2021, 37(6): 528-533. | |
| [12] | Wang I K, Lin C L, Yen T H, et al. Icodextrin reduces the risk of congestive heart failure in peritoneal dialysis patients[J]. Pharmacoepidemiol Drug Saf, 2018, 27(4): 447-452. |
| [13] | Paniagua R, Orihuela O, Ventura M J, et al. Echocardiographic, electrocardiographic and blood pressure changes induced by icodextrin solution in diabetic patients on peritoneal dialysis[J]. Kidney Int, 2008, 73: S125-S130. |
| [14] | Yoon H E, Chang Y K, Shin S J, et al. Benefits of a continuous ambulatory peritoneal dialysis (CAPD) technique with one icodextrin-containing and two biocompatible glucose-containing dialysates for preservation of residual renal function and biocompatibility in incident CAPD patients[J]. J Korean Med Sci, 2014, 29(9): 1217-1225. |
| [15] | Takatori Y, Akagi S, Sugiyama H, et al. Icodextrin increases technique survival rate in peritoneal dialysis patients with diabetic nephropathy by improving body fluid management: a randomized controlled trial[J]. Clin J Am Soc Nephrol, 2011, 6(6): 1337-1344. |
| [16] | Gokal R, Moberly J, Lindholm B, et al. Metabolic and laboratory effects of icodextrin[J]. Kidney Int, 2002, 62: S62-S71. |
| [17] | Kadiroğlu AK, Ustündag S, Kayabaşi H, et al. A comparative study of the effect of icodextrin based peritoneal dialysis and hemodialysis on lipid metabolism[J]. Indian J Nephrol, 2013, 23(5): 358. |
| [18] | Ng J K, Chan G C, Li P K. Icodextrin in peritoneal dialysis: implications on clinical practice and survival outcome[J]. Kidney360, 2022, 3(5): 793-795. |
| [19] | Kim Y L, van Biesen W. Fluid overload in peritoneal dialysis patients[J]. Semin Nephrol, 2017, 37(1): 43-53. |
| [20] | Davies S, Zhao J H, McCullough K P, et al. International icodextrin use and association with peritoneal membrane function, fluid removal, patient and technique survival[J]. Kidney360, 2022, 3(5): 872-882. |
| [21] | 林爱武, 钱家麒, 李晓玫, 等. 腹膜转运特性明显影响艾考糊精腹透液的超滤量[J]. 中华肾脏病杂志, 2010, 26(7): 504-509. |
| Lin A W, Qian J Q, Li X M, et al. Great influence of peritoneal transport characteristics on ultrafiltration of icodextrin[J]. Chinese Journal of Nephrology, 2010, 26(7): 504-509. | |
| [22] | Lui S L, Yung S, Yim A, et al. A combination of biocompatible peritoneal dialysis solutions and residual renal function, peritoneal transport, and inflammation markers: a randomized clinical trial[J]. Am J Kidney Dis, 2012, 60(6): 966-975. |
| [23] | 徐光, 任东升, 陶雅非, 等. 艾考糊精透析液治疗维持性腹膜透析容量超负荷患者疗效观察[J]. 中华实用诊断与治疗杂志, 2023, 37(6): 637-640. |
| Xu G, Ren D S, Tao Y F, et al. Effect of icodextrin in maintenance peritoneal dialysis volume overload patients[J]. Journal of Chinese Practical Diagnosis and Therapy, 2023, 37(6): 637-640. | |
| [24] | Sav T, Inanc M T, Dogan A, et al. Two daytime icodextrin exchanges decrease brain natriuretic peptide levels and improve cardiac functions in continuous ambulatory peritoneal dialysis patients[J]. Nephrology, 2010, 15(3): 307-312. |
| [25] | Paniagua R, Ventura M D J, Ávila-Díaz M, et al. Icodextrin improves metabolic and fluid management in high and high-average transport diabetic patients[J]. Perit Dial Int, 2009, 29(4): 422-432. |
| [26] | Cnossen T T, Konings C J, van der Sande F M, et al. Clinical effects of icodextrin in peritoneal dialysis[J]. NDT Plus, 2008, 1(suppl 4): iv18-iv22. |
| [27] | 吴杏, 叶任高, 汪涛, 等. 尿毒症患者发生左心室肥厚的危险性及其相关因素[J]. 中国中西医结合肾病杂志, 2004, 5(1): 18-20. |
| Wu X, Ye R G, Wang T, et al. Risk factors of left ventricular hypertrophy (LVH) and its relationship with blood volume of uremic patients[J]. Chinese Journal of Integrated Traditional and Western Nephrology, 2004, 5(1): 18-20. | |
| [28] | Konings C J A M, Kooman J P, Schonck M, et al. Effect of icodextrin on volume status, blood pressure and echocardiographic parameters: a randomized study[J]. Kidney Int, 2003, 63(4): 1556-1563. |
| [29] | 鲍霞, 徐佳美, 黄春香, 等. 艾考糊精透析液在腹膜透析患者心力衰竭中的应用效果观察[J]. 中国中西医结合肾病杂志, 2025, 26(3): 234-236. |
| Bao X, Xu J M, Huang C X, et al. Effect of icodextrin dialysate on heart failure in peritoneal dialysis patients[J]. Chinese Journal of Integrated Traditional and Western Nephrology, 2025, 26(3): 234-236. | |
| [30] | Rodríguez-Carmona A, Fontán M P, López E G, et al. Use of icodextrin during nocturnal automated peritoneal dialysis allows sustained ultrafiltration while reducing the peritoneal glucose load: a randomized crossover study[J]. Perit Dial Int, 2007, 27(3): 260-266. |
| [31] | 彭凯月, 韩庆烽. 基于艾考糊精透析液的腹膜透析治疗进展[J]. 中国血液净化, 2022, 21(8): 595-598. |
| Peng K Y, Han Q F. Progress in peritoneal dialysis treatment based on icodextrin[J]. Chinese Journal of Blood Purification, 2022, 21(8): 595-598. | |
| [32] | 中华医学会肾脏病学分会, 中关村肾病血液净化创新联盟. 中国透析患者慢性心力衰竭管理指南[J]. 中华肾脏病杂志, 2022, 38(5): 465-496. |
| Chinese Society of Nephrology, Zhongguancun Nephrology & Blood Purification Innovation Alliance. Guidelines for the management of chronic heart failure in dialysis patients in China[J]. Chinese Journal of Nephrology, 2022, 38(5): 465-496. | |
| [33] | Woodrow G, Oldroyd B, Stables G, et al. Effects of icodextrin in automated peritoneal dialysis on blood pressure and bioelectrical impedance analysis[J]. Nephrol Dial Transplant, 2000, 15(6): 862-866. |
| [34] | Rangaswamy D, Guddattu V, Webster A C, et al. Icodextrin use for peritoneal dialysis in Australia: a cohort study using Australia and New Zealand Dialysis and Transplant Registry[J]. Perit Dial Int, 2020, 40(2): 209-219. |
| [35] | Han S H, Ahn S V, Yun J Y, et al. Effects of icodextrin on patient survival and technique success in patients undergoing peritoneal dialysis[J]. Nephrol Dial Transplant, 2012, 27(5): 2044-2050. |
| [36] | Wang I K, Li Y F, Chen J H, et al. Icodextrin decreases technique failure and improves patient survival in peritoneal dialysis patients[J]. Nephrology, 2015, 20(3): 161-167. |
| [37] | Wang I K, Chan C I, Lin A H, et al. The impact of icodextrin on the outcomes of incident peritoneal dialysis patients[J]. PLoS One, 2024, 19(3): e0297688. |
| [1] | LI Yu, ZHANG Yu. Analysis of risk factors of adverse pregnancy outcomes in patients with chronic kidney disease [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(5): 560-566. |
| [2] | LI Ping, JIANG Huiru, YE Mengyue, WANG Yayu, CHEN Xiaoyu, YUAN Ancai, XU Wenjie, DAI Huimin, CHEN Xi, YAN Xiaoxiang, TU Shengxian, ZHENG Yuanqi, ZHANG Wei, PU Jun. Analysis of epidemiological characteristics of risk factors for cardiovascular diseases and malignant tumors based on the Shanghai community elderly cohort [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(5): 617-625. |
| [3] | ZHENG Mengyi, MAO Jialiang, ZOU Zhiguo, ZHANG Ruilei, ZHANG Hou, LI Shiguang. Predictive value of systemic immune inflammation index and somatic symptom scale-China in the occurrence of in-hospital major adverse cardiovascular events after first-episode of acute myocardial infarction undergoing PCI [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(3): 334-341. |
| [4] | WU Lirong, CHEN Ruihua, CHAO Xiaowen, GUO Yuhuai, SUN Tao, LI Mengci, CHEN Tianlu. Study of metabolic association between elevated fasting blood glucose and cognitive deterioration [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(2): 212-222. |
| [5] | SHEN Li, HUANG Hengye, YU Guangjun. Current status of neurodevelopmental outcomes and its influencing factors of early-to-moderate preterm infants at corrected age of 18 months [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(4): 445-452. |
| [6] | JIANG Jing, BIAN Yong, ZHENG Jijian, HUANG Yue. Factors influencing the amount of blood loss in pediatric patients during craniosynostosis surgery [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(4): 453-458. |
| [7] | XUE Linlin, LI Binghan, CHANG Lixian, LI Weikun, LIU Chunyun, LIU Li. Construction and evaluation of a nomogram prediction model for bacterial infection in patients with decompensated hepatitis C cirrhosis [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 52-60. |
| [8] | WEI Shan, JI Ouyang, CHEN Zhihao, HUANG Zehui, LI Pu, FANG Junyan, LIU Yingli. A prevalence study on knowledge, attitude, belief and practice of safe medication and analysis of related factors in dialysis patients [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 88-94. |
| [9] | ZHU Yueyue, ZHANG Jinwen, MA Ruixiang, CHEN Cailian, LIN Yi, LIU Xiaorui. Analysis of risk factors for postpartum thrombotic disease [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(4): 415-421. |
| [10] | ZHANG Tong, TIAN Xue, ZUO Yingting, ZHENG Manqi, ZHANG Yijun, WU Shouling, CHEN Shuohua, MA Gaoting, TONG Xu, WANG Anxin, MO Dapeng. Association of triglyceride-glucose index with cardiovascular disease in people without traditional risk factors [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 267-274. |
| [11] | LI Aiqiu, ZHANG Xiaoxiao, JIANG Yunli, XIAO Yanshang, DING Guodong, WU Beirong, DONG Xiaoyan. Risk factors of recurrent wheezing in preschool children [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(10): 1435-1440. |
| [12] | Ze-hui HUANG, Chun HU, Pu LI, Chun-li ZHANG, Jun-yan FANG, A-hui SONG, Shan WEI, Ou-yang JI, Yan TONG, Hai DENG, Ying-li LIU. Development of self-management scale for peritoneal dialysis at home and its reliability and validity analysis [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(7): 942-948. |
| [13] | Bo CHEN, Peng-jun ZHAO. Risk factor and management strategy of premature ventricular contraction-induced cardiomyopathy in children [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(7): 977-981. |
| [14] | Yuan-sen DING, Feng WANG, Jia-yue SUN, Zheng-wei SHAO, De-rong ZOU, Jia-yu LU. Epidemiological survey of periodontal health in patients with type 2 diabetes mellitus of different ages [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(2): 217-222. |
| [15] | Yan TONG, Jun-yan FANG, Hai DENG, A-hui SONG, Pu LI, Ying-li LIU. Different expression levels of exosomal miR-200a in peritoneal dialysis effluent from patients with different peritoneal transport characteristics and prediction of its biological function [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(1): 42-48. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||