Analysis of Predictors and Risk Factors of Postpolypectomy Syndrome
Abstract
:1. Introduction
2. Methods
2.1. Study Setting and Patient Selection
2.2. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Control | PPS | p Values | |
---|---|---|---|
Cohort Size, n | n1 = 429 | n2 = 46 | |
patient characteristics | |||
sex, n (%) | |||
female | 154 (35.9) | 20 (43.5) | 0.28 |
male | 275 (64.1) | 26 (56.5) | 0.42 |
age, mean ± SD | 68.8 ± 11.1 | 65.7 ± 11.1 | 0.68 |
BMI | |||
n1: median (IQR) | 26.1 (24.0–29.4) | ||
n2: mean ± SD | 27.6 ± 4.9 | ||
pre-existing diseases, n (%) | 279 (65.0) | 28 (60.9) | 0.36 |
coronary heart disease | 63 (14.7) | 5 (10.9) | 0.29 |
diabetes mellitus | 76 (17.7) | 7 (15.2) | 0.71 |
arterial hypertension | 205 (47.8) | 25 (54.3) | 0.32 |
kidney insufficiency | 46 (10.7) | 2 (4.3) | 0.18 |
liver insufficiency | 29 (6.8) | 4 (8.7) | 0.45 |
COPD | 19 (4.4) | 3 (6.5) | 0.51 |
autoimmune disorder | 17 (4.0) | 1 (2.2) | 0.34 |
immunosuppressive disease | 9 (2.1) | 2 (4.3) | 0.29 |
multimorbidity | 126 (29.4) | 13 (28.3) | 0.75 |
long-term analgesic medication, n (%) | 56 (13.1) | 7 (15.2) | 0.21 |
nicotine abuse, n (%) | 136 (31.7) | 8 (17.4) | 0.09 |
yes | 89 (65.4) | 6 (75.0) | 0.23 |
no | 47 (34.6) | 2 (25.0) | 0.17 |
peri-procedural aspects | |||
antibiotic pretreatment, n (%) | 15 (3.5) | 1 (2.2) | 0.34 |
antibiotic treatment, n (%) | 35 (8.2) | 11 (23.9) | 0.18 |
blood cultures, n (%) | 8 (1.9) | 4 (8.7) | 0.22 |
negative | 6 (1.4) | 4 (8.7) | 0.30 |
positive | 2 (0.5) | 0 | 0.56 |
periluminal air, n (%) | |||
negative | 19 (4.4) | 6 (13.0) | 0.16 |
positive | 0 | 1 (2.2) | 0.43 |
adverse events, n (%) | |||
perforation | 9 (2.1) | ||
periinterventional bleeding | 59 (13.8) | ||
postinterventional bleeding | 23 (5.4) | ||
PPF | 8 (1.8) | ||
other | 2 (0.5) |
(a) | |||
---|---|---|---|
Control | PPS | p Value | |
sample size, n | 429 | 46 | |
duration of intervention (min) | |||
median (IQR) | 45 (31.3–61.5) | 52 (40–70) | 0.24 |
antibiotic during inpatient care, n (%) | 35 (8.2) | 11 (23.9) | 0.12 |
particularities, n (%) | 52 (12.1) | 6 (13) | 0.67 |
APC, n (%) | 84 (19.6) | 8 (17.4) | 0.54 |
clip application, n (%) | 193 (45.0) | 20 (43.5) | 0.72 |
relevant diverticulosis, n (%) | 143 (33.3) | 18 (39.1) | 0.34 |
(b) | |||
number of polyps, n | 1156 | 133 | |
median (IQR) | 2.84 (1–4) | 2.98 (1–4) | 0.53 |
localization, n (%) | 1122 (97.0) | 121 (91) | |
cecum | 182 (15.7) | 34 (25.6) | 0.45 |
colon ascendens | 246 (21.3) | 27 (20.3) | 0.51 |
colon transversum | 190 (16.4) | 19 (14.3) | 0.34 |
colon descendens | 118 (10.2) | 6 (4.5) | 0.29 |
sigmoid colon | 223 (19.3) | 26 (19.5) | 0.75 |
rectum | 158 (13.7) | 9 (6.8) | 0.21 |
anal canal | 5 (0.4) | 0 | 0.69 |
result of resection, n (%) | 1067 (92.3) | 121 (91) | |
failure | 1 (0.1) | 0 (0) | 0.76 |
en bloc | 827 (71.5) | 94 (70.7) | 0.82 |
piecemeal | 202 (17.5) | 25 (18.8) | 0.53 |
incomplete | 30 (2.6) | 2 (1.5) | 0.47 |
method of intervention, n (%) | 1052 (91) | 121 (91) | |
forceps | 381 (33.0) | 37 (27.8) | 0.26 |
EMR | 716 (61.9) | 88 (66.2) | 0.24 |
EMR combined | 46 (6.4% of EMR) | 8 (10) | |
ESD | 0 | 0 | 1.00 |
EFTR | 15 (1.3) | 1 (2.2) | 0.64 |
EFTR combined | 9 (60% of EFTR) | 0 |
Odds Ratio (95% CI) | p-Value ≤ 0.05 | |
---|---|---|
female sex, n (%) | 1.374 (0.742–2.542) | 0.310 |
pre-existing diseases, n (%) | ||
| 1.301 (0.707–2.395) | 0.397 |
duration of the procedure | ||
| 1.723 (0.925–3.208) | 0.083 |
relevant diverticulosis | 1.277 (0.683–2.386) | 0.443 |
localization, n (%) | ||
| 1.653 (0.774–3.536) | 0.190 |
| 2.021 (1.096–3.727) | 0.022 |
| 1.207 (0.653–2.231) | 0.548 |
piecemeal resection, n (%) | 1.356 (0.737–2.496) | 0.326 |
polyp configuration, n (%) | ||
| 2.470 (1.229–4.966) | 0.009 |
| 1.527 (0.809–2.881) | 0.189 |
| 2.233 (0.870–5.731) | 0.087 |
polyp morphology, n (%) | ||
| 1.568 (0.852–2.2885) | 0.146 |
| 3.716 (1.556–8.875) | 0.002 |
grading, n (%) | ||
| 2.700 (1.416–5.148) | 0.002 |
submucosal fibrosis, n (%) | 0.430 (0.101–1.840) | 0.242 |
Coefficients a | |||||||
---|---|---|---|---|---|---|---|
Unstandardized Coefficients | Standardized Coefficients | 95% Confidence Interval for B | |||||
Model | B | Std. Error | Beta | t | Sig. | Lower Bound | Upper Bound |
(Constant) | 0.016 | 0.021 | 0.759 | 0.448 | −0.026 | 0.058 | |
no EIN | 0.072 | 0.028 | 0.121 | 2.615 | 0.009 | 0.018 | 0.126 |
pedunculated | 0.112 | 0.037 | 0.136 | 3.025 | 0.003 | 0.039 | 0.185 |
serrated | 0.123 | 0.056 | 0.102 | 2.206 | 0.028 | 0.013 | 0.232 |
cecum | 0.065 | 0.028 | 0.105 | 2.324 | 0.021 | 0.010 | 0.120 |
Sample Size, n | n1 = 429 | n2 = 46 |
---|---|---|
body temperature (°C), | ||
n1 = median + IQR (min; max) | 36.9 (36.5–37.3) | |
n2 = mean ± SD | 37.2 ± 0.8 | |
leukocytes (cells/µL), median (IQR) | 9200 (7115–11,288) | 10,885 (8163–13,708) |
thrombocytes, (103/µL), mean ± SD | 210,415 ± 70,290 | 199,262 + 77,848 |
CRP (mg/dL), median (IQR) | 1.9 (1; 4.3) | 9.4 (3.2–14.8) |
Abdominal Pain ≤ 6 h | Abdominal Pain ≥ 6 h | |||
---|---|---|---|---|
Sensitivity | Specificity | Sensitivity | Specificity | |
CRP (≥0.5 mg/dL) | 83.3% | 33.3% | 94.7% | 35.3% |
Leukocytosis | 51.1% | 62.3% | 59.5% | 63% |
≥37.5 °C | 26.9% | 84.2% | 31.1% | 84.5% |
CRP + ≥37.5 °C | 13.6% | 91.5% | 22.5% | 92.4% |
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Fusco, S.; Bauer, M.E.; Schempf, U.; Stüker, D.; Blumenstock, G.; Malek, N.P.; Werner, C.R.; Wichmann, D. Analysis of Predictors and Risk Factors of Postpolypectomy Syndrome. Diagnostics 2024, 14, 127. https://doi.org/10.3390/diagnostics14020127
Fusco S, Bauer ME, Schempf U, Stüker D, Blumenstock G, Malek NP, Werner CR, Wichmann D. Analysis of Predictors and Risk Factors of Postpolypectomy Syndrome. Diagnostics. 2024; 14(2):127. https://doi.org/10.3390/diagnostics14020127
Chicago/Turabian StyleFusco, Stefano, Michelle E. Bauer, Ulrike Schempf, Dietmar Stüker, Gunnar Blumenstock, Nisar P. Malek, Christoph R. Werner, and Dörte Wichmann. 2024. "Analysis of Predictors and Risk Factors of Postpolypectomy Syndrome" Diagnostics 14, no. 2: 127. https://doi.org/10.3390/diagnostics14020127
APA StyleFusco, S., Bauer, M. E., Schempf, U., Stüker, D., Blumenstock, G., Malek, N. P., Werner, C. R., & Wichmann, D. (2024). Analysis of Predictors and Risk Factors of Postpolypectomy Syndrome. Diagnostics, 14(2), 127. https://doi.org/10.3390/diagnostics14020127