Journal of Southern Medical University ›› 2026, Vol. 46 ›› Issue (9): 2069-2077.doi: 10.12122/j.issn.1673-4254.2026.09.07
Changhong SUN1(
), Fei LIU1, Jiaxin LI2, Han GAO2, Yi LIU2, Longhe XU2, Yongzhe LIU2(
), Minglong GAO1,3(
)
Received:2026-02-03
Online:2026-09-20
Published:2026-09-30
Contact:
Yongzhe LIU, Minglong GAO
E-mail:16634250625@163.com;lyzgao@163. com;gaominglongg@163.com
Changhong SUN, Fei LIU, Jiaxin LI, Han GAO, Yi LIU, Longhe XU, Yongzhe LIU, Minglong GAO. Remimazolam stabilizes hemodynamics during anesthesia induction but fails to reduce renal injury risk following laparoscopic partial nephrectomy: a propensity score-matched retrospective cohort study[J]. Journal of Southern Medical University, 2026, 46(9): 2069-2077.
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URL: https://www.j-smu.com/EN/10.12122/j.issn.1673-4254.2026.09.07
| Variable | Before PSM | After PSM | ||||||
|---|---|---|---|---|---|---|---|---|
| Control group (n=184) | Remimazolam group (n=81) | t/x2/z | P | Control group (n=65) | Remimazolam group (n=65) | t/x2/z | P | |
| Age (year, Mean±SD) | 52±14 | 54±12 | -1.148 | 0.252 | 53±15 | 54±11 | -0.448 | 0.655 |
| Male/Female (n) | 122/62 | 53/28 | 0.019 | 0.890 | 46/19 | 46/19 | 0.000 | 1.000 |
| BMI (kg/m2, Mean±SD) | 25.42±12.37 | 25.58±11.47 | -0.348 | 0.728 | 25.61±4.15 | 25.83±3.22 | -0.335 | 0.738 |
| ASA [n (%)] | 1.208 | 0.751 | 1.592 | 0.661 | ||||
| Ⅰ | 40 (21.7) | 14 (17.3) | 11 (16.9) | 12 (18.5) | ||||
| Ⅱ | 133 (72.3) | 63 (77.8) | 48 (73.8) | 49 (75.4) | ||||
| Ⅲ | 11 (6.0) | 4 (4.9) | 6 (9.2) | 4 (6.2) | ||||
| Combined disease [n (%)] | ||||||||
| Diabetes | 25 (13.6) | 12 (14.8) | 0.071 | 0.79 | 9 (13.8) | 11 (16.9) | 0.236 | 0.627 |
| Hypertension | 70 (38.0) | 25 (30.9) | 1.260 | 0.262 | 25 (38.5) | 24 (36.9) | 0.033 | 0.856 |
| Cardiovascular disease | 23 (12.5) | 12 (14.8) | 0.263 | 0.608 | 11 (16.9) | 12 (18.5) | 0.053 | 0.818 |
| Operation time [min, M (P25, P75)] | 126.50 (105.50, 148.00) | 130.00 (110.00, 170.00) | 1.975 | 0.048 | 135.0 (110.0, 157.5) | 130.0 (110.0, 162.50) | -0.021 | 0.983 |
Renal artery occlusion time [min, M (P25, P75)] | 23.00 (16.25, 28.00) | 21.00 (17.00, 27.00) | -0.602 | 0.547 | 22.0 (15.0, 28.0) | 23.0 (17.50, 27.0) | 0.545 | 0.585 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 67.0 (56.0, 77.0) | 68.0 (55.0, 77.5) | -0.064 | 0.949 | 69.00 (60.50, 76.50) | 69.00 (55.50, 76.50) | -0.431 | 0.667 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 1.61 (1.38, 1.92) | 2.03 (1.85, 2.29) | 6.896 | <0.01 | 2.03 (1.69, 2.37) | 2.01 (1.86, 2.23) | 0.123 | 0.902 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.77 (0.68, 0.88) | 0.84 (0.84, 0.90) | 4.926 | <0.01 | 0.84 (0.80, 0.97) | 0.84 (0.84, 0.90) | -0.060 | 0.956 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.49 (0.66, 4.56) | 1.50 (0.72, 5.80) | 0.474 | 0.635 | 1.48 (0.52, 5.93) | 1.62 (0.69, 5.30) | -0.228 | 0.820 |
Preoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 91.47±16.60 | 91.00±16.44 | 0.216 | 0.829 | 89.69±18.48 | 91.59±16.76 | -0.614 | 0.540 |
Preoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] | 109.25 (96.58, 119.25) | 103.16 (90.79, 109.56) | -3.957 | <0.01 | 101.93 (82.65, 112.99) | 103.99 (91.63, 108.24) | 0.102 | 0.918 |
Preoperative eGFRdiff [mL/(min·1.73 m2), Mean±SD] | 14.51±16.98 | 7.59±16.62 | 3.075 | 0.002 | 6.94±15.46 | 7.81±13.71 | -0.339 | 0.735 |
Tab.1 Comparison of baseline characteristics between the two groups before and after propensity score matching (PSM)
| Variable | Before PSM | After PSM | ||||||
|---|---|---|---|---|---|---|---|---|
| Control group (n=184) | Remimazolam group (n=81) | t/x2/z | P | Control group (n=65) | Remimazolam group (n=65) | t/x2/z | P | |
| Age (year, Mean±SD) | 52±14 | 54±12 | -1.148 | 0.252 | 53±15 | 54±11 | -0.448 | 0.655 |
| Male/Female (n) | 122/62 | 53/28 | 0.019 | 0.890 | 46/19 | 46/19 | 0.000 | 1.000 |
| BMI (kg/m2, Mean±SD) | 25.42±12.37 | 25.58±11.47 | -0.348 | 0.728 | 25.61±4.15 | 25.83±3.22 | -0.335 | 0.738 |
| ASA [n (%)] | 1.208 | 0.751 | 1.592 | 0.661 | ||||
| Ⅰ | 40 (21.7) | 14 (17.3) | 11 (16.9) | 12 (18.5) | ||||
| Ⅱ | 133 (72.3) | 63 (77.8) | 48 (73.8) | 49 (75.4) | ||||
| Ⅲ | 11 (6.0) | 4 (4.9) | 6 (9.2) | 4 (6.2) | ||||
| Combined disease [n (%)] | ||||||||
| Diabetes | 25 (13.6) | 12 (14.8) | 0.071 | 0.79 | 9 (13.8) | 11 (16.9) | 0.236 | 0.627 |
| Hypertension | 70 (38.0) | 25 (30.9) | 1.260 | 0.262 | 25 (38.5) | 24 (36.9) | 0.033 | 0.856 |
| Cardiovascular disease | 23 (12.5) | 12 (14.8) | 0.263 | 0.608 | 11 (16.9) | 12 (18.5) | 0.053 | 0.818 |
| Operation time [min, M (P25, P75)] | 126.50 (105.50, 148.00) | 130.00 (110.00, 170.00) | 1.975 | 0.048 | 135.0 (110.0, 157.5) | 130.0 (110.0, 162.50) | -0.021 | 0.983 |
Renal artery occlusion time [min, M (P25, P75)] | 23.00 (16.25, 28.00) | 21.00 (17.00, 27.00) | -0.602 | 0.547 | 22.0 (15.0, 28.0) | 23.0 (17.50, 27.0) | 0.545 | 0.585 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 67.0 (56.0, 77.0) | 68.0 (55.0, 77.5) | -0.064 | 0.949 | 69.00 (60.50, 76.50) | 69.00 (55.50, 76.50) | -0.431 | 0.667 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 1.61 (1.38, 1.92) | 2.03 (1.85, 2.29) | 6.896 | <0.01 | 2.03 (1.69, 2.37) | 2.01 (1.86, 2.23) | 0.123 | 0.902 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.77 (0.68, 0.88) | 0.84 (0.84, 0.90) | 4.926 | <0.01 | 0.84 (0.80, 0.97) | 0.84 (0.84, 0.90) | -0.060 | 0.956 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.49 (0.66, 4.56) | 1.50 (0.72, 5.80) | 0.474 | 0.635 | 1.48 (0.52, 5.93) | 1.62 (0.69, 5.30) | -0.228 | 0.820 |
Preoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 91.47±16.60 | 91.00±16.44 | 0.216 | 0.829 | 89.69±18.48 | 91.59±16.76 | -0.614 | 0.540 |
Preoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] | 109.25 (96.58, 119.25) | 103.16 (90.79, 109.56) | -3.957 | <0.01 | 101.93 (82.65, 112.99) | 103.99 (91.63, 108.24) | 0.102 | 0.918 |
Preoperative eGFRdiff [mL/(min·1.73 m2), Mean±SD] | 14.51±16.98 | 7.59±16.62 | 3.075 | 0.002 | 6.94±15.46 | 7.81±13.71 | -0.339 | 0.735 |
| Variable | SMD before PSM | SMD after PSM | Balance status (After PSM) |
|---|---|---|---|
| Age | 0.144 | 0.079 | Good (<0.1) |
| Male/Female | 0.018 | 0 | Good (<0.1) |
| BMI | 0.046 | 0.059 | Good (<0.1) |
| ASA | 0.07 | 0.093 | Good (<0.1) |
| Combined disease | |||
| Diabetes | 0.035 | 0.085 | Good (<0.1) |
| Hypertension | 0.15 | 0.032 | Good (<0.1) |
| Cardiovascular disease | 0.068 | 0.04 | Good (<0.1) |
| Operation time | 0.363 | 0.03 | Good (<0.1) |
| Renal artery occlusion time | 0.084 | 0.014 | Good (<0.1) |
| Preoperative sCr | 0.062 | 0.187 | Acceptable (0.1~0.2) |
| Preoperative β2-MG | 0.817 | 0.082 | Good (<0.1) |
| Preoperative Cys-C | 0.458 | 0.202 | Acceptable (0.1~0.2) |
| Preoperative CRP | 0.098 | 0.114 | Acceptable (0.1~0.2) |
Tab.2 SMD and intergroup balance status before and after PSM
| Variable | SMD before PSM | SMD after PSM | Balance status (After PSM) |
|---|---|---|---|
| Age | 0.144 | 0.079 | Good (<0.1) |
| Male/Female | 0.018 | 0 | Good (<0.1) |
| BMI | 0.046 | 0.059 | Good (<0.1) |
| ASA | 0.07 | 0.093 | Good (<0.1) |
| Combined disease | |||
| Diabetes | 0.035 | 0.085 | Good (<0.1) |
| Hypertension | 0.15 | 0.032 | Good (<0.1) |
| Cardiovascular disease | 0.068 | 0.04 | Good (<0.1) |
| Operation time | 0.363 | 0.03 | Good (<0.1) |
| Renal artery occlusion time | 0.084 | 0.014 | Good (<0.1) |
| Preoperative sCr | 0.062 | 0.187 | Acceptable (0.1~0.2) |
| Preoperative β2-MG | 0.817 | 0.082 | Good (<0.1) |
| Preoperative Cys-C | 0.458 | 0.202 | Acceptable (0.1~0.2) |
| Preoperative CRP | 0.098 | 0.114 | Acceptable (0.1~0.2) |
| Group | ∆MAP (mmHg) | ∆HR (beat/min) | ||||
|---|---|---|---|---|---|---|
| ∆MAP1 | ∆MAP2 | ∆MAP3 | ∆HR1 | ∆HR2 | ∆HR3 | |
| Control | -4.62±8.75 | -9.38±12.97 | -20.11±11.65 | -2.09±9.50 | -3.78±11.18 | -10.85±15.54 |
| Remimazolam | -2.71±6.72 | -7.15±12.07 | -13.54±12.75 | 0.63±6.00 | 2.82±10.79 | -3.35±11.67 |
| t | -1.395 | -1.015 | -3.067 | -1.954 | -3.426 | -3.108 |
| P | 0.165 | 0.312 | 0.003 | 0.053 | 0.001 | 0.002 |
| Corrected P-value | 0.990 | 1.000 | 0.018 | 0.318 | 0.006 | 0.012 |
Tab.3 Comparison of changes in MAP and HR among the two groups at different time points (n=65, Mean±SD)
| Group | ∆MAP (mmHg) | ∆HR (beat/min) | ||||
|---|---|---|---|---|---|---|
| ∆MAP1 | ∆MAP2 | ∆MAP3 | ∆HR1 | ∆HR2 | ∆HR3 | |
| Control | -4.62±8.75 | -9.38±12.97 | -20.11±11.65 | -2.09±9.50 | -3.78±11.18 | -10.85±15.54 |
| Remimazolam | -2.71±6.72 | -7.15±12.07 | -13.54±12.75 | 0.63±6.00 | 2.82±10.79 | -3.35±11.67 |
| t | -1.395 | -1.015 | -3.067 | -1.954 | -3.426 | -3.108 |
| P | 0.165 | 0.312 | 0.003 | 0.053 | 0.001 | 0.002 |
| Corrected P-value | 0.990 | 1.000 | 0.018 | 0.318 | 0.006 | 0.012 |
| Variable | Control group | Remimazolam group | P |
|---|---|---|---|
| Renal artery occlusion time [min, M (P25, P75)] | 22.0 (15.0, 28.0) | 23.0 (17.5, 27.0) | 0.585 |
| Operation time [min, M (P25, P75)] | 135 (110, 158) | 130 (110, 163) | 0.983 |
| Blood loss [mL, M (P25, P75)] | 100 (50, 100) | 100 (100, 100) | 0.565 |
| Urine output [mL, M (P25, P75)] | 100 (100, 250) | 100 (100, 200) | 0.082 |
| Crystalloid fluid intake[mL, M (P25, P75)] | 1500 (1000, 1500) | 1000 (1000, 1500) | 0.065 |
| Colloid fluid intake [mL, M (P25, P75)] | 0 (0, 500) | 0 (0, 500) | 0.482 |
| Postoperative sCr [μmol/L, M (P25, P75)] | 85.0 (70.0, 101.5) | 84.0 (70.5, 103.5) | 0.927 |
| Postoperative β2-MG [mg/L, M (P25, P75)] | 1.94 (1.62, 2.25) | 2.07 (2.03, 2.17) | 0.467 |
| Postoperative Cys-C [mg/L, M (P25, P75)] | 0.91 (0.77, 1.01) | 0.96 (0.96, 1.03) | 0.001 |
| postoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 76.29±19.49 | 75.13±18.96 | 0.734 |
| postoperative eGFRCys-C [mL/(min·1.73 m2), Mean±SD] | 94.83±20.92 | 83.65±9.84 | <0.01 |
| postoperative eGFRdiff [mL/(min·1.73 m2), Mean±SD] | 18.55±17.06 | 8.52±15.85 | 0.001 |
| Postoperative CRP [mg/L, M (P25, P75)] | 27.40 (13.03, 41.44) | 31.58 (16.97, 51.70) | 0.397 |
| Postoperative AKI [n (%)] | 17 (26.2) | 20 (30.8) | 0.560 |
Tab.4 Comparison of perioperative characteristics between the two groups after PSM (n=65)
| Variable | Control group | Remimazolam group | P |
|---|---|---|---|
| Renal artery occlusion time [min, M (P25, P75)] | 22.0 (15.0, 28.0) | 23.0 (17.5, 27.0) | 0.585 |
| Operation time [min, M (P25, P75)] | 135 (110, 158) | 130 (110, 163) | 0.983 |
| Blood loss [mL, M (P25, P75)] | 100 (50, 100) | 100 (100, 100) | 0.565 |
| Urine output [mL, M (P25, P75)] | 100 (100, 250) | 100 (100, 200) | 0.082 |
| Crystalloid fluid intake[mL, M (P25, P75)] | 1500 (1000, 1500) | 1000 (1000, 1500) | 0.065 |
| Colloid fluid intake [mL, M (P25, P75)] | 0 (0, 500) | 0 (0, 500) | 0.482 |
| Postoperative sCr [μmol/L, M (P25, P75)] | 85.0 (70.0, 101.5) | 84.0 (70.5, 103.5) | 0.927 |
| Postoperative β2-MG [mg/L, M (P25, P75)] | 1.94 (1.62, 2.25) | 2.07 (2.03, 2.17) | 0.467 |
| Postoperative Cys-C [mg/L, M (P25, P75)] | 0.91 (0.77, 1.01) | 0.96 (0.96, 1.03) | 0.001 |
| postoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 76.29±19.49 | 75.13±18.96 | 0.734 |
| postoperative eGFRCys-C [mL/(min·1.73 m2), Mean±SD] | 94.83±20.92 | 83.65±9.84 | <0.01 |
| postoperative eGFRdiff [mL/(min·1.73 m2), Mean±SD] | 18.55±17.06 | 8.52±15.85 | 0.001 |
| Postoperative CRP [mg/L, M (P25, P75)] | 27.40 (13.03, 41.44) | 31.58 (16.97, 51.70) | 0.397 |
| Postoperative AKI [n (%)] | 17 (26.2) | 20 (30.8) | 0.560 |
| Age (year) | Control group | Remimazolam group(n=65) | P | ||
|---|---|---|---|---|---|
| n | AKI [n (%)] | n | AKI [n (%)] | ||
| 18-44 | 21 | 3 (14.29) | 14 | 3 (21.43) | 0.583 |
| 45-64 | 25 | 6 (24.00) | 39 | 14 (35.90) | 0.316 |
| ≥65 | 19 | 8 (42.11) | 12 | 3 (25.00) | 0.332 |
Tab.5 Comparison of AKI incidence among different age groups between the two groups after PSM (n=65)
| Age (year) | Control group | Remimazolam group(n=65) | P | ||
|---|---|---|---|---|---|
| n | AKI [n (%)] | n | AKI [n (%)] | ||
| 18-44 | 21 | 3 (14.29) | 14 | 3 (21.43) | 0.583 |
| 45-64 | 25 | 6 (24.00) | 39 | 14 (35.90) | 0.316 |
| ≥65 | 19 | 8 (42.11) | 12 | 3 (25.00) | 0.332 |
| Variable | Follow-up group group (n=77) | Lost to follow-up group group (n=53) | t/x2/z | P |
|---|---|---|---|---|
| Age (year, Mean±SD) | 55±13 | 52±13 | -1.192 | 0.235 |
| Male/Female (n) | 60/17 | 32/21 | 4.671 | 0.031 |
| BMI (kg/m2, Mean±SD) | 25.99±3.51 | 25.33±3.97 | -1.001 | 0.319 |
| ASA [n (%)] | 4.216 | 0.239 | ||
| Ⅰ | 11 (14.28) | 12 (22.64) | ||
| Ⅱ | 58 (75.32) | 39 (73.58) | ||
| Ⅲ | 8 (10.39) | 2 (3.8) | ||
| Combined disease [n (%)] | ||||
| Diabetes | 10 (12.99) | 10 | 0.834 | 0.361 |
| Hypertension | 33 (42.86) | 16 (30.19) | 2.145 | 0.143 |
| Cardiovascular disease | 16 (20.78) | 7 (13.21) | 1.236 | 0.266 |
| Operation time [min, M (P25, P75)] | 125 (105, 155) | 140 (120, 175) | -2.777 | 0.005 |
| Renal artery occlusion time [min, M (P25, P75)] | 22.0 (15.5, 27.0) | 23.0 (17.0, 29.5) | -0.837 | 0.402 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 72.0 (65.0, 78.5) | 66.0 (54.0, 71.0) | 3.477 | 0.001 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 2.04 (1.78, 2.38) | 2.01 (1.70, 2.20) | 1.144 | 0.253 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.84 (0.84, 1.02) | 0.84 (0.82, 0.89) | 2.037 | 0.042 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.48 (0.58, 5.36) | 1.62 (0.61, 6.04) | -0.190 | 0.850 |
| Preoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 95.50±16.90 | 102.69±10.51 | 2.984 | 0.003 |
Tab.6 Comparison of perioperative indicators between followed-up patients and patients lost to follow-up
| Variable | Follow-up group group (n=77) | Lost to follow-up group group (n=53) | t/x2/z | P |
|---|---|---|---|---|
| Age (year, Mean±SD) | 55±13 | 52±13 | -1.192 | 0.235 |
| Male/Female (n) | 60/17 | 32/21 | 4.671 | 0.031 |
| BMI (kg/m2, Mean±SD) | 25.99±3.51 | 25.33±3.97 | -1.001 | 0.319 |
| ASA [n (%)] | 4.216 | 0.239 | ||
| Ⅰ | 11 (14.28) | 12 (22.64) | ||
| Ⅱ | 58 (75.32) | 39 (73.58) | ||
| Ⅲ | 8 (10.39) | 2 (3.8) | ||
| Combined disease [n (%)] | ||||
| Diabetes | 10 (12.99) | 10 | 0.834 | 0.361 |
| Hypertension | 33 (42.86) | 16 (30.19) | 2.145 | 0.143 |
| Cardiovascular disease | 16 (20.78) | 7 (13.21) | 1.236 | 0.266 |
| Operation time [min, M (P25, P75)] | 125 (105, 155) | 140 (120, 175) | -2.777 | 0.005 |
| Renal artery occlusion time [min, M (P25, P75)] | 22.0 (15.5, 27.0) | 23.0 (17.0, 29.5) | -0.837 | 0.402 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 72.0 (65.0, 78.5) | 66.0 (54.0, 71.0) | 3.477 | 0.001 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 2.04 (1.78, 2.38) | 2.01 (1.70, 2.20) | 1.144 | 0.253 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.84 (0.84, 1.02) | 0.84 (0.82, 0.89) | 2.037 | 0.042 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.48 (0.58, 5.36) | 1.62 (0.61, 6.04) | -0.190 | 0.850 |
| Preoperative eGFRsCr [mL/(min·1.73 m2), Mean±SD] | 95.50±16.90 | 102.69±10.51 | 2.984 | 0.003 |
| Variable | Control group (n=36 ) | Remimazolam group (n=41 ) | P |
|---|---|---|---|
| Age (year, Mean±SD) | 55±16 | 55±11 | 0.767 |
| Male/Female (n) | 28/8 | 32/9 | 0.977 |
| BMI (kg/m2, Mean±SD) | 25.49±3.93 | 26.43±3.07 | 0.241 |
| Operation time [min, M (P25, P75)] | 123 (105, 145) | 125 (105, 158) | 0.556 |
| Renal artery occlusion time [min, M (P25, P75)] | 19 (15, 25) | 25 (20, 28) | 0.035 |
| Crystalloid fluid intake [mL, M (P25, P75)] | 1500 (1000, 1500) | 1000 (1000, 1500) | 0.083 |
| Colloid fluid intake [mL, M (P25, P75)] | 0 (0, 500) | 0 (0, 500) | 0.193 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 72.00 (64.25, 83.50) | 72.00 (65.50, 78.00) | 0.728 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 2.05 (1.70, 2.50) | 2.04 (1.87, 2.35) | 0.955 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.85 (0.79, 1.07) | 0.84 (0.84, 0.95) | 0.627 |
| Preoperative eGFRsCr [mL/(min·1.73 m2), M (P25, P75)] | 89.59 (76.40, 101.61) | 95.85 (78.20, 107.50) | 0.300 |
| Preoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] | 100.7 (71.50, 114.30) | 103.16 (88.22, 107.81) | 0.818 |
| Preoperative eGFRdiff [mL/(min·1.73 m2), M (P25, P75)] | 4.77 (-5.60, 16.60) | 2.85 (-4.69, 12.39) | 0.642 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.53 (0.49, 4.66) | 1.31 (0.69, 6.04) | 0.890 |
| Postoperative sCr [μmol/L, M (P25, P75)] | 96.50 (72.75, 113.25) | 90.00 (81.50, 116.50) | 0.732 |
| Postoperative β2-MG [mg/L, M (P25, P75)] | 2.07 (1.52, 2.55) | 2.07 (2.07, 2.33) | 0.148 |
| Postoperative Cys-C [mg/L, M (P25, P75)] | 0.955 (0.763, 1.068) | 0.960 (0.960, 1.065) | 0.008 |
| Postoperative eGFRsCr[mL/ (min·1.73 m2), M (P25, P75)] (3 months to 1 year postoperatively) | 81.40 (54.93, 106.13) | 84.20 (59.25, 100.00) | 0.992 |
| Postoperative eGFRsCr[mL/ (min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 71.75 (56.70, 81.29) | 72.29 (53.73, 86.02) | 0.951 |
| Postoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 94.84 (72.70, 112.27) | 83.81 (75.51, 89.29) | 0.013 |
| Postoperative eGFRdiff [mL/(min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 20.61 (10.30, 34.96) | 6.95 (-3.80, 21.55) | 0.020 |
| Postoperative CRP [mg/L, M (P25, P75)] | 25.05 (14.24, 39.34) | 30.89 (15.77, 52.58) | 0.491 |
| Postoperative AKI [n (% )] | 14 (38.89) | 17 (41.46) | 0.818 |
| CKD [n (% )] | 14 (38.89) | 11 (26.83) | 0.259 |
Tab.7 Comparison of perioperative characteristics and postoperative AKI and CKD among 77 patients
| Variable | Control group (n=36 ) | Remimazolam group (n=41 ) | P |
|---|---|---|---|
| Age (year, Mean±SD) | 55±16 | 55±11 | 0.767 |
| Male/Female (n) | 28/8 | 32/9 | 0.977 |
| BMI (kg/m2, Mean±SD) | 25.49±3.93 | 26.43±3.07 | 0.241 |
| Operation time [min, M (P25, P75)] | 123 (105, 145) | 125 (105, 158) | 0.556 |
| Renal artery occlusion time [min, M (P25, P75)] | 19 (15, 25) | 25 (20, 28) | 0.035 |
| Crystalloid fluid intake [mL, M (P25, P75)] | 1500 (1000, 1500) | 1000 (1000, 1500) | 0.083 |
| Colloid fluid intake [mL, M (P25, P75)] | 0 (0, 500) | 0 (0, 500) | 0.193 |
| Preoperative sCr [μmol/L, M (P25, P75)] | 72.00 (64.25, 83.50) | 72.00 (65.50, 78.00) | 0.728 |
| Preoperative β2-MG [mg/L, M (P25, P75)] | 2.05 (1.70, 2.50) | 2.04 (1.87, 2.35) | 0.955 |
| Preoperative Cys-C [mg/L, M (P25, P75)] | 0.85 (0.79, 1.07) | 0.84 (0.84, 0.95) | 0.627 |
| Preoperative eGFRsCr [mL/(min·1.73 m2), M (P25, P75)] | 89.59 (76.40, 101.61) | 95.85 (78.20, 107.50) | 0.300 |
| Preoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] | 100.7 (71.50, 114.30) | 103.16 (88.22, 107.81) | 0.818 |
| Preoperative eGFRdiff [mL/(min·1.73 m2), M (P25, P75)] | 4.77 (-5.60, 16.60) | 2.85 (-4.69, 12.39) | 0.642 |
| Preoperative CRP [mg/L, M (P25, P75)] | 1.53 (0.49, 4.66) | 1.31 (0.69, 6.04) | 0.890 |
| Postoperative sCr [μmol/L, M (P25, P75)] | 96.50 (72.75, 113.25) | 90.00 (81.50, 116.50) | 0.732 |
| Postoperative β2-MG [mg/L, M (P25, P75)] | 2.07 (1.52, 2.55) | 2.07 (2.07, 2.33) | 0.148 |
| Postoperative Cys-C [mg/L, M (P25, P75)] | 0.955 (0.763, 1.068) | 0.960 (0.960, 1.065) | 0.008 |
| Postoperative eGFRsCr[mL/ (min·1.73 m2), M (P25, P75)] (3 months to 1 year postoperatively) | 81.40 (54.93, 106.13) | 84.20 (59.25, 100.00) | 0.992 |
| Postoperative eGFRsCr[mL/ (min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 71.75 (56.70, 81.29) | 72.29 (53.73, 86.02) | 0.951 |
| Postoperative eGFRCys-C [mL/(min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 94.84 (72.70, 112.27) | 83.81 (75.51, 89.29) | 0.013 |
| Postoperative eGFRdiff [mL/(min·1.73 m2), M (P25, P75)] (24 hours postoperatively) | 20.61 (10.30, 34.96) | 6.95 (-3.80, 21.55) | 0.020 |
| Postoperative CRP [mg/L, M (P25, P75)] | 25.05 (14.24, 39.34) | 30.89 (15.77, 52.58) | 0.491 |
| Postoperative AKI [n (% )] | 14 (38.89) | 17 (41.46) | 0.818 |
| CKD [n (% )] | 14 (38.89) | 11 (26.83) | 0.259 |
| Group | ∆MAP (mmHg) | ∆HR (beat/min) | ||||
|---|---|---|---|---|---|---|
| ∆MAP1 | ∆MAP2 | ∆MAP3 | ∆HR1 | ∆HR2 | ∆HR3 | |
| Control group (n=36 ) | -5.11±7.82 | -11.64±12.33 | -20.56±12.00 | -2.75±7.17 | -2.81±11.76 | -10.28±16.45 |
| Remimazolam group (n=41 ) | -3.37±7.19 | -8.49±13.29 | -15.12±13.74 | 0.78±6.98 | 2.61±11.01 | -4.24±11.36 |
| t | -1.020 | -1.073 | -1.836 | -2.187 | -2.086 | -1.892 |
| P | 0.340 | 0.163 | 0.453 | 0.785 | 0.815 | 0.061 |
| Corrected P-value | 1.000 | 0.978 | 1.000 | 1.000 | 1.000 | 0.366 |
Tab.8 Comparison of changes in mean arterial pressure (MAP) and heart rate (HR) among the two groups at different time points
| Group | ∆MAP (mmHg) | ∆HR (beat/min) | ||||
|---|---|---|---|---|---|---|
| ∆MAP1 | ∆MAP2 | ∆MAP3 | ∆HR1 | ∆HR2 | ∆HR3 | |
| Control group (n=36 ) | -5.11±7.82 | -11.64±12.33 | -20.56±12.00 | -2.75±7.17 | -2.81±11.76 | -10.28±16.45 |
| Remimazolam group (n=41 ) | -3.37±7.19 | -8.49±13.29 | -15.12±13.74 | 0.78±6.98 | 2.61±11.01 | -4.24±11.36 |
| t | -1.020 | -1.073 | -1.836 | -2.187 | -2.086 | -1.892 |
| P | 0.340 | 0.163 | 0.453 | 0.785 | 0.815 | 0.061 |
| Corrected P-value | 1.000 | 0.978 | 1.000 | 1.000 | 1.000 | 0.366 |
| Postoperative AKI | CKD | χ² | r | P | |
|---|---|---|---|---|---|
| No | Yes | ||||
| No | 39 (75.0) | 7 (28.0) | 15.506 | 0.449 | <0.01 |
| Yes | 13 (25.0) | 18 (72.0) | |||
Tab.9 Correlation between AKI and CKD in 77 patients[n (%)]
| Postoperative AKI | CKD | χ² | r | P | |
|---|---|---|---|---|---|
| No | Yes | ||||
| No | 39 (75.0) | 7 (28.0) | 15.506 | 0.449 | <0.01 |
| Yes | 13 (25.0) | 18 (72.0) | |||
| [1] | Zhao PT, Richstone L, Kavoussi LR. Laparoscopic partial nephrectomy[J]. Int J Surg, 2016, 36: 548-53. doi:10.1016/j.ijsu.2016.04.028 |
| [2] | Wu QF, Kong H, Xu ZZ, et al. Impact of goal-directed hemodynamic management on the incidence of acute kidney injury in patients undergoing partial nephrectomy: a pilot randomized controlled trial[J]. BMC Anesthesiol, 2021, 21(1): 67. doi:10.1186/s12871-021-01288-8 |
| [3] | Kurzhagen JT, Dellepiane S, Cantaluppi V, et al. AKI: an increasingly recognized risk factor for CKD development and progression[J]. J Nephrol, 2020, 33(6): 1171-87. doi:10.1007/s40620-020-00793-2 |
| [4] | Ostermann M, Lumlertgul N, Jeong R, et al. Acute kidney injury[J]. Lancet, 2025, 405(10474): 241-56. doi:10.1016/s0140-6736(24)02385-7 |
| [5] | Patidar KR, Ma AT, Juanola A, et al. Global epidemiology of acute kidney injury in hospitalised patients with decompensated cirrhosis: the International Club of Ascites GLOBAL AKI prospective, multicentre, cohort study [J]. Lancet Gastroenterol Hepatol, 2025, 10(5): 418-30. |
| [6] | Zhang L, Yang J, Zhou L, et al. The use of remimazolam versus propofol for anesthesia induction in video-assisted thoracoscopic surgery: study protocol for a multicenter randomized controlled trial[J]. Trials, 2025, 26(1): 173. doi:10.1186/s13063-025-08833-7 |
| [7] | Chen M, Zhang DY. Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management[J]. BMC Med Inform Decis Mak, 2025, 25(1): 96. doi:10.1186/s12911-025-02930-y |
| [8] | Maheshwari K, Turan A, Mao G, et al. The association of hypotension during non-cardiac surgery, before and after skin incision, with postoperative acute kidney injury: a retrospective cohort analysis[J]. Anaesthesia, 2018, 73(10): 1223-8. doi:10.1111/anae.14416 |
| [9] | Chen EY, Michel G, Zhou B, et al. An analysis of anesthesia induction dosing in female older adults[J]. Drugs Aging, 2020, 37(6): 435-46. doi:10.1007/s40266-020-00760-3 |
| [10] | Dai GR, Pei LL, Duan FY, et al. Safety and efficacy of remimazolam compared with propofol in induction of general anesthesia[J]. Minerva Anestesiol, 2021, 87(10): 1073-9. doi:10.23736/s0375-9393.21.15517-8 |
| [11] | Doi M, Hirata N, Suzuki T, et al. Safety and efficacy of remimazolam in induction and maintenance of general anesthesia in high-risk surgical patients (ASA Class III): results of a multicenter, randomized, double-blind, parallel-group comparative trial[J]. J Anesth, 2020, 34(4): 491-501. doi:10.1007/s00540-020-02776-w |
| [12] | Doi M, Morita K, Takeda J, et al. Efficacy and safety of remimazolam versus propofol for general anesthesia: a multicenter, single-blind, randomized, parallel-group, phase IIb/III trial[J]. J Anesth, 2020, 34(4): 543-53. doi:10.1007/s00540-020-02788-6 |
| [13] | Xing Y, Lang ZK, Wang XR, et al. Anesthetic efficacy with remimazolam compared with propofol: a systematic review and meta-analysis of randomized controlled trials[J]. Int J Surg, 2025, 111(9): 6384-96. doi:10.1097/js9.0000000000002737 |
| [14] | Matsumoto S, Ukon Y, Endo S, et al. Antioxidative activity of remimazolam as a direct free radical scavenger in comparison with midazolam[J]. Cureus, 2025: 94676-88. doi:10.7759/cureus.94676 |
| [15] | Tsukimoto S, Kitaura A, Kuroda H, et al. Anti-inflammatory potential of remimazolam: a laboratory and clinical investigation[J]. Immunity Inflam Disease, 2024, 12(3): e1218. doi:10.1002/iid3.1218 |
| [16] | Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate[J]. Ann Intern Med, 2009, 150(9): 604-12. doi:10.7326/0003-4819-150-9-200905050-00006 |
| [17] | Inker LA, Schmid CH, Tighiouart H, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C[J]. N Engl J Med, 2012, 367(1): 20-9. doi:10.1056/nejmoa1114248 |
| [18] | Jessup M, Costanzo MR. The cardiorenal syndrome[J]. J Am Coll Cardiol, 2009, 53(7): 597-9. doi:10.1016/j.jacc.2008.11.012 |
| [19] | Penev Y, Ruppert MM, Bilgili A, et al. Intraoperative hypotension and postoperative acute kidney injury: a systematic review[J]. Am J Surg, 2024, 232: 45-53. doi:10.1016/j.amjsurg.2024.02.001 |
| [20] | Mizota T, Yamamoto Y, Hamada M, et al. Intraoperative oliguria predicts acute kidney injury after major abdominal surgery[J]. Br J Anaesth, 2017, 119(6): 1127-34. doi:10.1093/bja/aex255 |
| [21] | Zhu T. Hemodynamic influences of remimazolam versus propofol during the induction period of general anesthesia: a systematic review and meta-analysis of randomized controlled trials[J]. Pain Physician J, 2023, 26(7): E761-73. doi:10.36076/ppj.2023.26.e761 |
| [22] | Kopitkó C, Gondos T, Fülöp T, et al. Reinterpreting renal hemodynamics: the importance of venous congestion and effective organ perfusion in acute kidney injury[J]. Am J Med Sci, 2020, 359(4): 193-205. doi:10.1016/j.amjms.2020.01.012 |
| [23] | Chen JH. Central venous pressure-guided fluid management in hepatectomy under remimazolam: Impact on postoperative renal and gastrointestinal recovery[J]. J Gastrointest Surg, 2025, 29(10): 102197. doi:10.1016/j.gassur.2025.102197 |
| [24] | Zhang F, Hu JS, Zhang KY, et al. Perioperative, functional, and oncologic outcomes of laparoscopic partial nephrectomy versus open partial nephrectomy for complex renal tumors: a systematic review and meta-analysis[J]. Front Oncol, 2024, 13: 1283935. doi:10.3389/fonc.2023.1283935 |
| [25] | Li SY, Guo ZL, Li Y, et al. The impact of warm ischemia time on short-term renal function after partial nephrectomy: a systematic review and meta-analysis[J]. BMC Urol, 2025, 25(1): 121. doi:10.1186/s12894-025-01803-w |
| [26] | de Jong BT, Eleveld DJ, Mason KP, et al. Clinical pharmacokinetics and pharmacodynamics of remimazolam[J]. Clin Pharmacokinet, 2025, 64(9): 1263-82. doi:10.1007/s40262-025-01548-7 |
| [27] | Yaşar E, Toker MK, Saruhan E, et al. Impact of liberal versus restrictive fluid management on acute kidney ınjury after nephrectomy: a randomised controlled trial with cystatin C evaluation[J]. BMC Urol, 2025, 25(1): 270. doi:10.1186/s12894-025-01954-w |
| [28] | Francoz C, Glotz D, Moreau R, et al. The evaluation of renal function and disease in patients with cirrhosis[J]. J Hepatol, 2010, 52(4): 605-13. doi:10.1016/j.jhep.2009.11.025 |
| [29] | Xu X, Nie S, Xu H, et al. Detecting neonatal AKI by serum cystatin C[J]. J Am Soc Nephrol, 2023, 34(7): 1253-63. doi:10.1681/asn.0000000000000125 |
| [30] | Stöhr T, Colin PJ, Ossig J, et al. Pharmacokinetic properties of remimazolam in subjects with hepatic or renal impairment[J]. Br J Anaesth, 2021, 127(3): 415-23. doi:10.1016/j.bja.2021.05.027 |
| [31] | den Bakker E, Musters M, Hubeek I, et al. Concordance between creatinine- and cystatin C-based eGFR in clinical practice[J]. Scand J Clin Lab Investig, 2021, 81(2): 142-6. doi:10.1080/00365513.2021.1871776 |
| [32] | Lees JS, Fabian JN, Shlipak MG. Cystatin C should be routinely available for estimating kidney function[J]. Curr Opin Nephrol Hypertens, 2024, 33(3): 337-43. doi:10.1097/mnh.0000000000000980 |
| [33] | Mathew GG. The utility of eGFR difference (eGFRCystatin C-eGFRCreatinine) in the diagnosis, prognosis, and management of chronic kidney disease: a comprehensive review[J]. Ir J Med Sci 1971, 2026, 195(1): 511-20. doi:10.1007/s11845-025-04221-x |
| [34] | Spencer S, Desborough R, Bhandari S. Should cystatin C eGFR become routine clinical practice[J]? Biomolecules, 2023, 13(7): 1075. doi:10.3390/biom13071075 |
| [35] | Potok OA, Ix JH, Shlipak MG, et al. The difference between cystatin C- and creatinine-based estimated GFR and associations with frailty and adverse outcomes: a cohort analysis of the systolic blood pressure intervention trial (SPRINT)[J]. Am J Kidney Dis, 2020, 76(6): 765-74. doi:10.1053/j.ajkd.2020.05.017 |
| [36] | Niculae A, Gherghina ME, Peride I, et al. Pathway from acute kidney injury to chronic kidney disease: molecules involved in renal fibrosis[J]. Int J Mol Sci, 2023, 24(18): 14019. doi:10.3390/ijms241814019 |
| [37] | Wang ZW, Zhang C. From AKI to CKD: maladaptive repair and the underlying mechanisms[J]. Int J Mol Sci, 2022, 23(18): 10880. doi:10.3390/ijms231810880 |
| [38] | Abdala PM, Swanson EA, Hutchens MP. Meta-analysis of AKI to CKD transition in perioperative patients[J]. Perioper Med, 2021, 10(1): 24. doi:10.1186/s13741-021-00192-6 |
| [39] | Zhang TF, Widdop RE, Ricardo SD. Transition from acute kidney injury to chronic kidney disease: mechanisms, models, and biomarkers[J]. Am J Physiol Ren Physiol, 2024, 327(5): F788-805. doi:10.1152/ajprenal.00184.2024 |
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