| Literature DB >> 36229667 |
Hannes Hoi1, Martin Grünbart1, Peter Paal2, Michael de Cillia1, Tobias Hell3, Helmut Weiss1, Christof Mittermair4.
Abstract
PURPOSE: Despite continuous improvement in minimally invasive surgery (MIS) and growing evidence for its superiority in procedures in various organ systems, a routinely application in patients with acute bowel obstruction (ABO) cannot be seen to date. Besides very general explanations for this attitude, not much is known about the decision process in a particular patient. This retrospective study aims at investigating surgeon- and patient-specific factors for or against MIS in acute bowel obstruction.Entities:
Keywords: Acute bowel obstruction; Laparoscopy; Minimally invasive surgery; Open surgery
Year: 2022 PMID: 36229667 PMCID: PMC9560739 DOI: 10.1007/s00423-022-02712-4
Source DB: PubMed Journal: Langenbecks Arch Surg ISSN: 1435-2443 Impact factor: 2.895
Patient-specific parameters influencing decision making in ABOa
| Total ( | MIS ( | Open ( | Estimateb with 95% CI | ||
|---|---|---|---|---|---|
| Age (year) | 70 (60.25–79) | 68 (57–79) | 71 (62–79) | − 2 (− 8 to 3) | 0.4208 |
| Female gender | 68/106 (64.2%) | 27/49 (55.1%) | 41/57 (71.9%) | 2.07 (0.86 to 5.07) | 0.1037 |
| BMI (kg/m2) | 23.1 (20.5–26.53) | 23.8 (21.4–26.1) | 22.5 (20.2–27) | 0.4 (− 1.2 to 2) | 0.5857 |
| Inflammation (CRP > 0.5 mg/dl) | 57/106 (53.8%) | 23/49 (46.9%) | 34/57 (59.6%) | 1.66 (0.72 to 3.88) | 0.2418 |
| ASA I | 17/106 (16%) | 12/49 (24.5%) | 5/57 (8.8%) | 0.3 (0.08 to 1.01) | 0.035 |
| ASA II | 42/106 (39.6%) | 25/49 (51%) | 17/57 (29.8%) | 0.41 (0.17 to 0.97) | 0.0301 |
| ASA III | 46/106 (43.4%) | 11/49 (22.4%) | 35/57 (61.4%) | 5.4 (2.17 to 14.33) | 0.0001 |
| Bowel width (cm) | 3.5 (3–4.1) | 3.5 (3–3.6) | 3.8 (3.5–5) | − 0.5 (− 1 to − 0.2) | 0.0006 |
| Previous surgery | |||||
| Multiple abdominal | 36/106 (34%) | 12/49 (24.5%) | 24/57 (42.1%) | 2.23 (0.9 to 5.71) | 0.0663 |
| Open | 61/106 (57.5%) | 26/49 (53.1%) | 35/57 (61.4%) | 1.4 (0.6 to 3.28) | 0.4339 |
| MIS | 22/106 (20.8%) | 13/49 (26.5%) | 9/57 (15.8%) | 0.52 (0.18 to 1.49) | 0.2307 |
| AE | 16/106 (15.1%) | 13/49 (26.5%) | 3/57 (5.3%) | 0.16 (0.03 to 0.62) | 0.0027 |
| Colon | 31/106 (29.2%) | 7/49 (14.3%) | 24/57 (42.1%) | 4.3 (1.56 to 13.34) | 0.0024 |
| Upper abdominal | 31/106 (29.2%) | 14/49 (28.6%) | 17/57 (29.8%) | 1.06 (0.42 to 2.7) | 1 |
| Urological or gynecological | 18/106 (17%) | 10/49 (20.4%) | 8/57 (14%) | 0.64 (0.2 to 1.99) | 0.4426 |
| Tumor as reason for bowel obstruction | |||||
| Tumor | 18/106 (17%) | 3/49 (6.1%) | 15/57 (26.3%) | 5.4 (1.39 to 31.12) | 0.0083 |
aBinary data are presented as no./total no. (%), continuous data as medians (25th to 75th percentile)
bOdds ratios for binary variables and estimated median difference for continuous variables
cAssessed by Fisher’s exact test for categorical variables and Wilcoxon rank sum test for continuous variables
Surgeon-specific parameters influencing decision making in ABOa
| Total ( | Laparoscopic ( | Open ( | Estimateb with 95% CI | ||
|---|---|---|---|---|---|
| Senior surgeon responsible | 82/106 (77.4%) | 37/49 (75.5%) | 45/57 (78.9%) | 1.21 (0.44 to 3.35) | 0.8165 |
| Experienced assisting surgeon | 68/106 (64.2%) | 33/49 (67.3%) | 35/57 (61.4%) | 0.77 (0.32 to 1.85) | 0.5491 |
| Admission time (h) | 12.47 (8.97–16.94) | 10.88 (8.12–14.67) | 14.78 (9.72–17.98) | − 2.9 (− 5.27 to − 0.63) | 0.0111 |
aBinary data are presented as no./total no. (%), continuous data as medians (25th to 75th percentile)
bOdds ratios for binary variables and estimated median difference for continuous variables
cAssessed by Fisher’s exact test for categorical variables and Wilcoxon rank sum test for continuous variables
Subgroup analysis of patient- and surgeon-specific factors influencing decision making in ABO: MLP versus SILa
| Total ( | Multiport ( | SIL ( | Estimateb with 95% CI | ||
|---|---|---|---|---|---|
| Age (year) | 68 (57–79) | 62 (52–78) | 70.5 (64–80.25) | − 5 (− 16 to 6) | 0.3221 |
| Female gender | 27/49 (55.1%) | 11/21 (52.4%) | 16/28 (57.1%) | 1.21 (0.33 to 4.37) | 0.7786 |
| BMI (kg/m2) | 23.8 (21.4–26.1) | 23 (20.5–24.5) | 23.85 (22.08–26.73) | − 1.6 (− 3.6 to 0.5) | 0.1633 |
| Inflammation (CRP > 0.5 mg/dl) | 23/49 (46.9%) | 9/21 (42.9%) | 14/28 (50%) | 1.33 (0.37 to 4.85) | 0.7736 |
| ASA I | 12/49 (24.5%) | 5/21 (23.8%) | 7/28 (25%) | 1.07 (0.24 to 5.11) | 1 |
| ASA II | 25/49 (51%) | 11/21 (52.4%) | 14/28 (50%) | 0.91 (0.25 to 3.26) | 1 |
| ASA III | 11/49 (22.4%) | 5/21 (23.8%) | 6/28 (21.4%) | 0.88 (0.18 to 4.32) | 1 |
| Bowel width (cm) | 3.5 (3–3.6) | 3.35 (2.98–3.65) | 3.5 (3–3.6) | 0 (− 0.5 to 0.4) | 0.797 |
| Senior surgeon responsible | 37/49 (75.5%) | 16/21 (76.2%) | 21/28 (75%) | 0.94 (0.2 to 4.2) | 1 |
| Admission time (h) | 10.88 (8.12–14.67) | 12.3 (9.2–14.67) | 10.2 (8.07–14.34) | 1.1 (− 2.33 to 4.22) | 0.5681 |
| Experienced assisting surgeon | 33/49 (67.3%) | 13/21 (61.9%) | 20/28 (71.4%) | 1.52 (0.39 to 6.05) | 0.5474 |
| Multiple abdominal | 12/49 (24.5%) | 6/21 (28.6%) | 6/28 (21.4%) | 0.69 (0.15 to 3.12) | 0.7389 |
| Open | 26/49 (53.1%) | 14/21 (66.7%) | 12/28 (42.9%) | 0.38 (0.1 to 1.4) | 0.1488 |
| MIS | 13/49 (26.5%) | 5/21 (23.8%) | 8/28 (28.6%) | 1.27 (0.3 to 5.98) | 0.7553 |
| AE | 13/49 (26.5%) | 6/21 (28.6%) | 7/28 (25%) | 0.84 (0.19 to 3.69) | 1 |
| Colon | 7/49 (14.3%) | 3/21 (14.3%) | 4/28 (14.3%) | 1 (0.15 to 7.7) | 1 |
| Upper abdominal | 14/49 (28.6%) | 7/21 (33.3%) | 7/28 (25%) | 0.67 (0.16 to 2.8) | 0.5421 |
| Urological or gynecological | 10/49 (20.4%) | 3/21 (14.3%) | 7/28 (25%) | 1.97 (0.38 to 13.57) | 0.4823 |
| Tumor as reason for bowel obstruction | |||||
| Tumor | 3/49 (6.1%) | 0/21 (0%) | 3/28 (10.7%) | Inf (0.31 to Inf) | 0.25 |
| Senior surgeon responsible | 37/49 (75.5%) | 16/21 (76.2%) | 21/28 (75%) | 0.94 (0.2 to 4.2) | 1 |
| Admission time (h) | 10.88 (8.12–14.67) | 12.3 (9.2–14.67) | 10.2 (8.07–14.34) | 1.1 (− 2.33 to 4.22) | 0.5681 |
| Experienced assisting surgeon | 33/49 (67.3%) | 13/21 (61.9%) | 20/28 (71.4%) | 1.52 (0.39 to 6.05) | 0.5474 |
aBinary data are presented as no./total no. (%), continuous data as medians (25th to 75th percentile)
bOdds ratios for binary variables and estimated median difference for continuous variables
cAssessed by Fisher’s exact test for categorical variables and Wilcoxon rank sum test for continuous variables
Postoperative complication rates (Dindo-Clavien)
| Grade (Dindo-Clavien) | Total ( | Laparoscopic ( | Open ( | Estimatea with 95% CI | |
|---|---|---|---|---|---|
| 1 | 65/106 (61.3%) | 36/49 (73.5%) | 29/57 (50.9%) | 0.38 (0.15 to 0.91) | 0.0272 |
| 2 | 18/106 (17%) | 5/49 (10.2%) | 13/57 (22.8%) | 2.58 (0.78 to 10.04) | 0.1196 |
| 3b | 17/106 (16%) | 6/49 (12.2%) | 11/57 (19.3%) | 1.71 (0.52 to 6.13) | 0.4283 |
| 4 | 2/106 (1.9%) | 1/49 (2%) | 1/57 (1.8%) | 0.86 (0.01 to 68.63) | 1 |
| 5 | 4/106 (3.8%) | 1/49 (2%) | 3/57 (5.3%) | 2.64 (0.2 to 142.75) | 0.6222 |
aOdds ratios for binary variables and estimated median difference for continuous variables
bAssessed by Fisher’s exact test for categorical variables and Wilcoxon rank sum test for continuous variables