| Literature DB >> 34189654 |
Stefan Reischl1,2, Kai Dominik Roehl1, Sebastian Ziegelmayer2, Helmut Friess1, Marcus Richard Makowski2, Dirk Wilhelm1, Alexander Rudolf Novotny1, Jochen Gaa2, Philipp-Alexander Neumann3.
Abstract
PURPOSE: Modern non-operative management of diverticulitis consists of a complex therapeutic regimen and is successful in most cases even of complicated diverticulitis. Still, a certain proportion of patients requires urgent surgery due to failure of the conservative approach. This study aims to identify predictors for failure of conservative treatment of complicated diverticulitis with the need for subsequent urgent resection during the acute episode.Entities:
Keywords: Acute diverticulitis; Conservative treatment; Contained perforation; Prediction; Resection
Mesh:
Year: 2021 PMID: 34189654 PMCID: PMC8578075 DOI: 10.1007/s00423-021-02244-3
Source DB: PubMed Journal: Langenbecks Arch Surg ISSN: 1435-2443 Impact factor: 3.445
Fig. 1Inclusion flowchart and radiologic measurement methodology. A Patient inclusion flowchart. Cases potentially eligible were identified by a PACS search query. Stepwise exclusion was performed to achieve the final cohort analysed in the study. B Radiologic measurements are demonstrated in an exemplary CT scan in coronal (left and middle panel) and axial plane (right panel)
Overview of the epidemiologic data, risk factors and disease-specific information of the study population and the subgroups. Data are presented as mean ± standard deviation or patient numbers and percentage of total patients in the cohort or subgroup. p-values are indicated behind the groups
| Total | Resection within 30 days | No resection within 30 days | ||
|---|---|---|---|---|
| Total | 141 (100%) | 19 (13%) | 122 (87%) | |
| Sex | ||||
| Male | 81 (57.4%) | 14 (73.7%) | 67 (54.9%) | |
| Female | 60 (42.6%) | 5 (26.3%) | 55 (45.1%) | |
| Age (in years) | 56.2 14.6 | 60.7, 12.6 | 55.5 (14.9) | |
| ASA | ||||
| I | 32 (22.7%) | 1 (5.3%) | 31 (25.4%) | |
| II | 68 (48.2%) | 3 (15.8%) | 65 (53.3%) | |
| III | 35 (24.8%) | 12 (63.2%) | 23 (18.9%) | |
| IV | 6 (4.3%) | 3 (15.8%) | 3 (2.5%) | |
| V and VI | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Comorbidities | ||||
| None | 65 (46.1%) | 5 (26.3%) | 60 (49.2%) | |
| Multiple | 48 (34.0%) | 13 (68.4%) | 35 (28.7%) | |
| Cardiovascular | 19 (13.5%) | 1 (5.3%) | 18 (14.8%) | |
| Others | 9 (6.4%) | 0 (0.0%) | 9 (7.4%) | |
| Diabetes | 5 (3.5%) | 0 (0.0%) | 5 (4.1%) | |
| Immunosuppression | ||||
| None | 134 (95.0%) | 17 (89.5%) | 117 (95.9%) | |
| Biologicals | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Steroids | 4 (2.8%) | 1 (5.3%) | 3 (2.5%) | |
| Immunomodulators | 1 (0.7%) | 1 (5.3%) | 0 (0.0%) | |
| Cytostatic drugs | 2 (1.4%) | 0 (0.0%) | 2 (1.6%) | |
| Time between pain onset and admission | ||||
| < 24 h | 45 (37.2%) | 4 (33.3%) | 41 (37.6%) | |
| 24–72 h | 30 (24.8%) | 2 (16.7%) | 28 (25.7%) | |
| 72 h–1 week | 32 (26.4%) | 1 (8.3%) | 31 (28.4%) | |
| > 1 week | 14 (11.6%) | 5 (41.7%) | 9 (8.3%) | |
| Leucocytes at admission (in 109/l) | 12.0, 3.8 | 12.8, 4.1 | 11.90, 3.7 | |
| CRP at admission (in mg/l) | 88.4, 74.7 | 109.1, 87.6 | 85.0, 73.0 | |
| Number of episode | ||||
| 1 | 96 (69.1%) | 9 (50.0%) | 87 (71.9%) | |
| 2 | 24 (17.3%) | 5 (27.8%) | 19 (15.7%) | |
| ≥ 3 | 19 (13.7%) | 4 (22.2%) | 15 (12.4%) | |
| Antibiotic therapy | ||||
| None | 1 (0.7%) | 0 (0.0%) | 1 (0.8%) | |
| Oral | 12 (8.8%) | 1 (7.1%) | 11 (9.0%) | |
| Intravenous (± oral) | 123 (90.4%) | 13 (92.9%) | 110 (90.2%) | |
| Duration of antibiotic treatment (in days) | 11.3, 3.4 | 9.3, 4.6 | 11.4, 3.3 | |
| Hospital stay (in days) | 7.3, 5.4 | 15.6, 9.2 | 6.0, 2.9 | |
Overview of the radiologic characteristics of the study population and the subgroups. p-values are indicated behind the groups
| Total | Resection within 30 days | No resection within 30 days | ||
|---|---|---|---|---|
| Abscess formation > 1 cm | 18 (12.8%) | 7 (36.8%) | 11 (9.0%) | |
| Abscess formation > 4 cm | 4 (2.8%) | 1 (5.3%) | 3 (2.5%) | |
| Interventional drainage | 3 (2.1%) | 0 (0.0%) | 3 (2.5%) | |
| Length of inflamed bowel segment (in cm) | 6.6, 3.4 | 8.4, 2.9 | 6.3, 3.4 | |
| Max. diameter of inflamed bowel segment (in cm) | 2.8, 0.5 | 2.8, 0.5 | 2.8, 0.5 | |
| Min. lumen of inflamed bowel segment (in mm) | 8.8, 5.3 | 6.6, 4.3 | 9.1, 5.4 | |
| Max. wall thickness of inflamed bowel (in cm) | 1.9, 0.7 | 2.1, 0.7 | 1.9, 0.7 | |
| Area of mesenteric inflammation (in cm2) | 18.6, 11.1 | 23.8, 17.4 | 17.8, 9.6 | |
| Density of mesenteric inflammation (in HU) | 75.5, 23.9 | 72.0, 25.3 | 76.0, 23.0 | |
| Total mesenteric inflammation (in HU * dm2) | 14.2, 11.1 | 17.2, 15.4 | 13.7, 10.3 |
Correlations between blood inflammatory markers (leucocytes and CRP) and radiologic parameters. As CRP usually increases in a delayed manner, patients with pain onset less than 24 h before presentation were excluded (N = 140 patients for leucocytes, N = 74 patients for CRP). Pearson correlation was performed for parametric data and Spearman rank correlation for nonparametric data
| Leucocytes at admission (in 109/l) | CRP at admission (in mg/l) | |||
|---|---|---|---|---|
| Pearson correlation | Pearson correlation | |||
| Length of inflamed bowel segment (in cm) | 0.126 | 0.207 | ||
| Max. diameter of inflamed bowel segment (in | −0.048 | −0.113 | ||
| Min. lumen of inflamed bowel segment (in mm) | −0.198 | −0.313 | ||
| Max. wall thickness of inflamed bowel (in cm) | 0.122 | 0.174 | ||
| Area of mesenteric inflammation (in cm2) | 0.263 | 0.634 | ||
| Density of mesenteric inflammation (in HU) | 0.048 | 0.057 | ||
| Total mesenteric inflammation (in HU * dm2) | 0.244 | 0.496 | ||
| Abscess formation > 1 cm | 0.029 | 0.365 | ||
Univariable logistic regression analysis was performed for all radiologic variables. To avoid overfitting, only two variables were included in the final multivariable logistic regression model. Abscess formation and length of inflamed bowel were selected as they had the highest ROC-AUC values in the ROC analysis. Length of inflamed bowel was transformed into a dichotomic variable prior to inclusion in the multivariable regression model to provide a clear cut-off. A value of 7 cm length of inflamed bowel was determined as optimal discriminator by maximizing the Youden index in the ROC analysis. OR odds ratio, CI confidence interval
| Univariable logistic regression | |||
|---|---|---|---|
| Dependent variable: resection within 30 days | |||
| Model | |||
| Abscess formation >1 cm | 8.3 | ||
| Length of inflamed bowel segment | 1.2 | ||
| Max. diameter of inflamed bowel segment | 0.9 | ||
| Min. lumen of inflamed bowel segment | 0.9 | ||
| Max. wall thickness of inflamed bowel | 1.7 | ||
| Area of mesenteric inflammation | 1.0 | ||
| Density of mesenteric inflammation | 1.0 | ||
| Total mesenteric inflammation | 1.0 | ||
| Multivariable logistic regression | |||
| Dependent variable: resection within 30 days (Nagelkerke’s R2 = 0.25; p < 0.001) | |||
| Length of inflamed bowel segment (> 7 cm) | 4.1 | 1.4–12.2 | |
| Abscess formation (> 1 cm) | 6.6 | 2.1–20.4 | |
Fig. 2Receiver operating characteristics (ROC) curves and area under the curve (AUC) values for the individual radiological parameters with a significance level p < 0.20 in the univariable analysis between the groups (resection within 30 days vs. no resection within 30 days) are plotted