| Literature DB >> 33712254 |
Hani Essber1, Barak Cohen2, Amanda S Artis3, Steve M Leung1, Kamal Maheshwari4, Mohammad Zafeer Khan1, Daniel I Sessler1, Alparslan Turan4, Kurt Ruetzler5.
Abstract
BACKGROUND: Laparoscopic surgical approaches enhance recovery, reduce postoperative pain, and shorten hospital length-of-stay. Nevertheless, increased intra-abdominal pressure is associated with decreased renal blood flow, renal hypoxia and acute kidney injury. When combined with Trendelenburg positioning, renal function may further deteriorate. We tested the primary hypothesis that the combination of laparoscopic surgical approach and Trendelenburg position is associated with larger reductions in estimated Glomerular Filtration Rate (eGFR) within the initial 48 postoperative hours compared to open surgery without Trendelenburg positioning. Secondarily, we tested, if laparoscopic procedures are associated with greater incidence of postoperative acute kidney injury.Entities:
Keywords: Acute kidney injury; Anesthesia; Laparoscopy
Mesh:
Year: 2020 PMID: 33712254 PMCID: PMC9373244 DOI: 10.1016/j.bjane.2020.12.008
Source DB: PubMed Journal: Braz J Anesthesiol ISSN: 0104-0014
Summary statistics of baseline and intraoperative characteristics.
| Variable | All patients | Matched patients | ||||
|---|---|---|---|---|---|---|
| Laparoscopic | Open | ASD | Laparoscopic | Open | ASD | |
| (n = 1976) | (n = 5531) | (n = 1846) | (n = 1846) | |||
| Baseline variables | ||||||
| Age, years | 51 ± 17 | 52 ± 16 | 0.03 | 51 ± 17 | 52 ± 16 | 0.02 |
| BMI, kg. m-2 | 27.1 ± 6.2 | 26.8 ± 6.4 | 0.04 | 27.0 ± 6.2 | 27.0 ± 6.4 | 0.01 |
| Risk Stratification Index (RSI) | −4.9 ± 0.76 | −4.9 ± 0.72 | 0.03 | −4.9 ± 0.76 | −4.9 ± 0.73 | 0.02 |
| Preoperative eGFR, mL. min-1/1.73 m2 b | 92.6 ± 22.3 | 91.7 ± 23.8 | 0.04 | 92.7 ± 21.6 | 92.4 ± 22.2 | 0.01 |
| Preoperative hemoglobin | 12.9 ± 2.0 | 12.6 ± 2.0 | 0.17 | 12.9 ± 2.0 | 12.9 ± 1.9 | 0.02 |
| Number of antihypertensive agents | 0 [0,1] | 0 [0,1] | 0.00 | 0 [0,1] | 0 [0,1] | 0.04 |
| Female sex | 1048 (53.0) | 2834 (51.2) | 0.04 | 982 (53.2) | 968 (52.4) | 0.02 |
| Aspirin | 154 (7.8) | 398 (7.2) | 0.02 | 144 (7.8) | 136 (7.4) | 0.02 |
| Calcium-antagonists | 103 (5.2) | 312 (5.6) | 0.02 | 93 (5.0) | 96 (5.2) | 0.01 |
| Beta-blocker | 210 (10.6) | 639 (11.6) | 0.03 | 197 (10.7) | 186 (10.1) | 0.02 |
| Diuretics | 213 (10.8) | 510 (9.2) | 0.05 | 196 (10.6) | 181 (9.8) | 0.03 |
| ACE-Inhibitors | 170 (8.6) | 416 (7.5) | 0.04 | 159 (8.6) | 150 (8.1) | 0.02 |
| AT II-antagonists | 83 (4.2) | 169 (3.1) | 0.06 | 68 (3.7) | 70 (3.8) | 0.01 |
| Statins | 239 (12.1) | 529 (9.6) | 0.08 | 224 (12.1) | 210 (11.4) | 0.02 |
| Proton-pump inhibitor | 318 (16.1) | 981 (17.7) | 0.04 | 295 (16.0) | 268 (14.5) | 0.04 |
| NSAIDs | 132 (6.7) | 421 (7.6) | 0.04 | 126 (6.8) | 129 (7.0) | 0.01 |
| Immunosuppressants (cyclosporine, tacrolimus) | 67 (3.4) | 181 (3.3) | 0.01 | 59 (3.2) | 54 (2.9) | 0.02 |
| Steroids | 465 (23.5) | 941 (17.0) | 0.16 | 416 (22.5) | 361 (19.6) | 0.07 |
| History of MI | 82 (4.1) | 233 (4.2) | 0.00 | 76 (4.1) | 81 (4.4) | 0.01 |
| History of CHF | 135 (6.8) | 422 (7.6) | 0.03 | 131 (7.1) | 131 (7.1) | 0.00 |
| History of PVD | 67 (3.4) | 181 (3.3) | 0.01 | 62 (3.4) | 57 (3.1) | 0.02 |
| History of stroke | 64 (3.2) | 198 (3.6) | 0.02 | 62 (3.4) | 57 (3.1) | 0.02 |
| Pulmonary circulation disease | 18 (0.91) | 82 (1.5) | 0.05 | 18 (0.98) | 18 (0.98) | 0.00 |
| Liver disease | 40 (2.0) | 132 (2.4) | 0.02 | 37 (2.0) | 44 (2.4) | 0.03 |
| Hypothyroidism | 193 (9.8) | 558 (10.1) | 0.01 | 183 (9.9) | 186 (10.1) | 0.01 |
| Hypertension | 652 (33.0) | 1810 (32.7) | 0.01 | 610 (33.0) | 593 (32.1) | 0.02 |
| Diabetes | 194 (9.8) | 627 (11.3) | 0.05 | 180 (9.8) | 190 (10.3) | 0.02 |
| Smoker | 905 (45.8) | 2820 (51.0) | 0.10 | 847 (45.9) | 890 (48.2) | 0.05 |
| Obesity | 279 (14.1) | 736 (13.3) | 0.02 | 263 (14.2) | 248 (13.4) | 0.02 |
| Chronic obstructive pulmonary disease | 199 (10.1) | 655 (11.8) | 0.06 | 188 (10.2) | 195 (10.6) | 0.01 |
| Dyslipidemia | 449 (22.7) | 1030 (18.6) | 0.10 | 417 (22.6) | 406 (22.0) | 0.01 |
| Angina decubitus | 3 (0.15) | 4 (0.07) | 0.02 | 3 (0.16) | 2 (0.11) | 0.01 |
| Coronary artery disease | 106 (5.4) | 241 (4.4) | 0.05 | 97 (5.3) | 91 (4.9) | 0.01 |
| Cardiac dysrhythmias | 85 (4.3) | 319 (5.8) | 0.07 | 81 (4.4) | 78 (4.2) | 0.01 |
| Race | 0.08 | 0.03 | ||||
| Caucasian | 1818 (92.0) | 4962 (89.7) | 1697 (91.9) | 1685 (91.3) | ||
| African American | 107 (5.4) | 397 (7.2) | 101 (5.5) | 105 (5.7) | ||
| Other | 51 (2.6) | 172 (3.1) | 48 (2.6) | 56 (3.0) | ||
| Surgeon | 1.00 | 0.14 | ||||
| Surgeon 1 | 25 (1.3) | 688 (12.4) | 25 (1.4) | 25 (1.4) | ||
| Surgeon 2 | 224 (11.3) | 105 (1.9) | 146 (7.9) | 92 (5.0) | ||
| Surgeon 3 | 139 (7.0) | 272 (4.9) | 137 (7.4) | 149 (8.1) | ||
| Surgeon 4 | 122 (6.2) | 262 (4.7) | 119 (6.4) | 145 (7.9) | ||
| Surgeon 5 | 52 (2.6) | 364 (6.6) | 52 (2.8) | 46 (2.5) | ||
| Surgeon 6 | 152 (7.7) | 553 (10.0) | 151 (8.2) | 158 (8.6) | ||
| Surgeon 7 | 226 (11.4) | 332 (6.0) | 215 (11.6) | 223 (12.1) | ||
| Surgeon 8 | 100 (5.1) | 238 (4.3) | 99 (5.4) | 98 (5.3) | ||
| Surgeon 9 | 142 (7.2) | 301 (5.4) | 140 (7.6) | 170 (9.2) | ||
| Surgeon 10 | 0 (0.0) | 933 (16.9) | . (.) | . (.) | ||
| Other Surgeon | 794 (40.2) | 1483 (26.8) | 762 (41.3) | 740 (40.1) | ||
| Colorectal procedure type | 0.61 | 0.00 | ||||
| Colostomy or colorectal resection | 1845 (93.4) | 3990 (72.1) | 1717 (93.0) | 1717 (93.0) | ||
| Ileostomy, small bowel resection, and other enterostomy | 119 (6.0) | 929 (16.8) | 117 (6.3) | 117 (6.3) | ||
| Hernia repair | 1 (0.05) | 153 (2.8) | 1 (0.05) | 1 (0.05) | ||
| Exploratory laparotomy | 0 (0.0) | 61 (1.1) | 0 (0.0) | 0 (0.0) | ||
| Excision; lysis peritoneal adhesions | 3 (0.15) | 98 (1.8) | 3 (0.16) | 3 (0.16) | ||
| Other procedures | 8 (0.40) | 300 (5.4) | 8 (0.43) | 8 (0.43) | ||
| ASA physical status | 0.11 | 0.01 | ||||
| 1 | 28 (1.4) | 38 (0.69) | 25 (1.4) | 23 (1.2) | ||
| 2 | 887 (44.9) | 2255 (40.8) | 821 (44.5) | 838 (45.4) | ||
| 3 | 986 (49.9) | 2969 (53.7) | 930 (50.4) | 914 (49.5) | ||
| 4 | 75 (3.8) | 269 (4.9) | 70 (3.8) | 71 (3.8) | ||
| Year of the surgery | 0.37 | 0.09 | ||||
| 2009 | 199 (10.1) | 966 (17.5) | 197 (10.7) | 247 (13.4) | ||
| 2010 | 208 (10.5) | 897 (16.2) | 206 (11.2) | 222 (12.0) | ||
| 2011 | 191 (9.7) | 761 (13.8) | 185 (10.0) | 220 (11.9) | ||
| 2012 | 284 (14.4) | 745 (13.5) | 265 (14.4) | 246 (13.3) | ||
| 2013 | 306 (15.5) | 656 (11.9) | 283 (15.3) | 256 (13.9) | ||
| 2014 | 311 (15.7) | 647 (11.7) | 284 (15.4) | 250 (13.5) | ||
| 2015 | 132 (6.7) | 274 (5.0) | 125 (6.8) | 121 (6.6) | ||
| 2016 | 345 (17.5) | 585 (10.6) | 301 (16.3) | 284 (15.4) | ||
Data are given as n (column %) unless otherwise indicated.
Variables with ASD > 0.1 after matching were considered imbalanced and thus included in subsequent multivariable regression models to control for residual confounding.
Data not available for all subjects before matching. Missing values: Body Mass Index = 77, Preoperative Hemoglobin = 73, Time weighted average MAP = 1.
Data are given as mean ± SD.
Data are given as median [Q1, Q3].
Summary Statistics of Intraoperative Characteristics.
| Variable | All patients | Matched patients | ||||
|---|---|---|---|---|---|---|
| Laparoscopic | Open | ASD | Laparoscopic | Open | ASD | |
| (n = 1976) | (n = 5531) | (n = 1846) | (n = 1846) | |||
| Duration of surgery (min) | 259 (90,722) | 199 (90,942) | 0.56 | 258 (90,722) | 208 (90,942) | 0.47 |
| Epinephrine (mg) | 0.0 (0.0,0.1) | 0.0 (0.0,11.3) | 0.06 | 0.0 (0.0,0.1) | 0.0 (0.0,1.0) | 0.06 |
| Ephedrine (mg) | 0 (0.85) | 0 (0.90) | 0.07 | 0 (0.85) | 0 (0.90) | 0.07 |
| Norepinephrine (mg) | 0.0 (0.0,1.4) | 0.0 (0.0,4.9) | 0.06 | 0.00 (0.0,1.4) | 0.00 (0.0,1.4) | 0.04 |
| Phenylephrine (mg) | 0.1 (0.0,27.2) | 0.1 (0.0,29.7) | 0.01 | 0.1 (0.0,27.2) | 0.1 (0.0,26.0) | 0.02 |
| Urine output | 300 (0, 3,850) | 250 (0,4460) | 0.28 | 300 (0, 3,850) | 225 (0, 4,460) | 0.36 |
| Estimated blood loss | 100 (0, 4,300) | 150 (0, 16,100) | 0.30 | 100 (0, 4,300) | 100 (0, 8,500) | 0.15 |
| RBC transfusion (cc) | 0 (0.2814) | 0 (0.10608) | 0.26 | 0 (0.2814) | 00 (0.10608) | 0.19 |
| FFP transfusion (cc) | 0 (0.658) | 0 (0.3188) | 0.14 | 0 (0.658) | 0 (0.2995) | 0.11 |
| Platelet transfusion (cc) | 0 (0.522) | 0 (0.1210) | 0.10 | 0 (0.522) | 0 (0.1210) | 0.08 |
| Amount of crystalloids | 2900 (400,9225) | 2600 (0,16000) | 0.27 | 2900 (400,9225) | 2500 (100,15000) | 0.30 |
| Amount of colloids | 0 (0.3500) | 0 (0.3750) | 0.27 | 0 (0.3500) | 0 (0.2750) | 0.17 |
| Time weighted average MAP | 87 (67,128) | 83 (58,131) | 0.44 | 87 (67,128) | 83 (61,125) | 0.39 |
| Regional analgesia (yes) | 74 (3.7) | 709 (12.8) | 0.33 | 70 (3.8) | 276 (15.0) | 0.39 |
Data are given as median (min, max).
Intraoperative characteristics were not considered in propensity score nor any regression modeling.
Data not available for all subjects. Time weighted average MAP = 1.
Figure 1Types and numbers of exclusions of the available colorectal surgical cases (January 2009 – June 2016) at Cleveland Clinic Foundation Main Campus.
Figure 2Absolute standardized difference plot showing balance between laparoscopic and open before (red) and after (blue) matching. The vertical line at absolute standardized difference = 0.1 is the pre-specified cutoff indicating balanced (left) and imbalanced (right) variables.
Summary of raw and surgeon-adjusted associations between surgical procedure and postoperative kidney outcomes in the propensity matched analysis set.
| Outcome | Raw estimates | Regression estimate (95% CI) | ||
|---|---|---|---|---|
| Laparoscopic | Open | |||
| n = 1846 | n = 1846 | |||
| Primary | ||||
| Postoperative eGFR, mL. min-1/1.73 m2 | 90 ± 25 | 89 ± 23 | 1.1 (-0.4, 2.7) | 0.155 |
| 92 [76, 106] | 92 [74, 106] | |||
| Secondary | ||||
| AKI (Any AKI vs. None) | 113 (6) | 155 (8) | 0.7 (0.6, 0.9) | 0.006 |
| AKIN stages | 0.7 (0.5, 0.9) | 0.006 | ||
| Stage 1 | 93 (5) | 126 (7) | ||
| Stage 2 | 14 (0.8) | 25 (1) | ||
| Stage 3 | 6 (0.3) | 4 (0.2) | ||
Primary outcome: The raw group estimates of postoperative eGFR are mean ± SD and the regression estimate (95% CI) is the surgeon-adjusted multivariable linear regression estimated difference (laparoscopic – open) in eGFR group means. Median (Q1, Q3) of postoperative eGFR by procedure are also presented.
Secondary outcomes:
AKI (Any AKI vs. None): The raw group estimates for any acute kidney injury (AKI) are incidences of any AKI by procedure type, presented as n (%) and the regression estimate (95% CI) is the multivariable logistic regression Odds Ratio (OR) for the odds of any AKI for the laparoscopic procedures vs. the open procedures. AKIN (Stage 3, Stage 2, Stage 1, Stage 0): The raw group estimates for AKI by stage are incidences of AKI stage by procedure type, presented as n (%) and the regression estimate (95% CI) is the multivariable ordinal logistic regression OR for the odds of AKI for the laparoscopic procedures vs. the open procedures. The Chi-Square p-value for testing the proportional odds assumption suggests that this assumption was violated (p = 0.026 < 0.05), yet the results are presented as a sensitivity analysis. All p-values presented are from their respective regression analysis. The p-values for the secondary analysis were adjusted for multiple testing via Holm step-down procedure.
Surgeon-adjusted regression estimate (95% CI).
Holm-adjusted p-value.
Sensitivity analysis using AKIN Stages (0, 1, 2, 3) instead of binary AKI (Any AKI – Stages 1, 2, 3 vs. No AKI – Stage 0).