| Literature DB >> 32293508 |
Darius Cameron Wilson1, Danylo Yershov2, Chandrakumaran Kandiah3, Nicholas Cortes4, Kirsty Gordon5, Kordo Saeed6.
Abstract
Entities:
Year: 2020 PMID: 32293508 PMCID: PMC7092587 DOI: 10.1186/s13054-020-2831-9
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Patient characteristics and subsequent operative requirements for patients prior to cytoreductive surgery within the total population and infected/non-infected subgroups
| Patient characteristics | Total patient cohort ( | Non-infected patients ( | Infected patients ( | |
|---|---|---|---|---|
| Demographics | ||||
| Age (years) (mean, SD) | 60.4 (13.1) | 60.8 (12.7) | 59.5 (15.9) | 0.802 |
| Male gender ( | 24 (48.0%) | 20 (50.0%) | 4 (40.0%) | 0.127 |
| BMI (kg/m2) (mean, SD) | 28.5 (5.5) | 28.4 (5.6) | 29.0 (5.0) | 0.763 |
| Disposition | ||||
| Hospital duration (days) (median, Q1–Q3) | 16.5 [13 – 20] | 15.5 [12 – 19] | 21 [17.25 – 22] | 0.112 |
| ITU duration (days) (median, Q1–Q3) | 2 [1.25 – 3] | 2 [1 – 3] | 2.5 [2 – 6] | 0.288 |
| Comorbidities | ||||
| Cardiovascular ( | 13 (26.0%) | 11 (27.5%) | 2 (20.0%) | 0.873 |
| Respiratory ( | 3 (6.0%) | 3 (7.5%) | 0 (0.0%) | 0.119 |
| Immunodeficiency ( | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1.00 |
| Diabetes ( | 3 (6.0%) | 3 (7.5%) | 0 (0.0%) | 0.117 |
| Renal ( | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1.00 |
| Liver ( | 2 (8.0%) | 2 (5.0%) | 0 (0.0%) | 0.274 |
| Central nervous system ( | 2 (8.0%) | 2 (5.0%) | 0 (0.0%) | 0.288 |
| Operative requirements | ||||
| Operation duration (h) (median, Q1–Q3) | 7 [5.7 – 8.1] | 6.7 [5.7 – 7.6] | 8.7 [7.3 – 9.4] | 0.035 |
| HIPEC ( | 46 (92.0%) | 36 (90.0%) | 10 (100.0%) | 0.782 |
| Splenectomy ( | 15 (37.5%) | 8 (20.0%) | 7 (70.0%) | 0.001 |
| Vasopressors ( | 39 (78.0%) | 33 (82.5%) | 6 (60.0%) | 0.571 |
| Biomarkers | ||||
| MR-proADM (nmol/L) (median, Q1–Q3) | 0.59 [0.47 – 0.73] | 0.61 [0.48 – 0.75] | 0.56 [0.42 – 0.64] | 0.983 |
| CT-proET-1 (pmol/L) (median, Q1–Q3) | 63.1 [49.4 – 70.8] | 63.9 [49.4 – 67.8] | 62.2 [50.3 – 71.8] | 0.984 |
| PCT (ng/mL) (median, Q1–Q3) | 0.05 [0.03 – 0.07] | 0.05 [0.03 – 0.07] | 0.05 [0.03 – 0.09] | 0.179 |
| CRP (mg/L) (median, Q1–Q3) | 12 [7 – 18] | 12 [7 – 22] | 11 [6 – 18] | 0.689 |
| WCC (109/L) (median, Q1–Q3) | 8.0 [6.3 – 11.1] | 7.9 [6.0 – 11.6] | 8.0 [6.2 – 12.3] | 0.816 |
Fig. 1Kinetic profiles of MR-proADM, PCT, and CT-proET-1 biomarkers before, during, and after cytoreductive surgery for peritoneal malignancy. Analysis of the effect of time and infection development on PCT and MR-proADM concentrations in a 2-way ANOVA found significant effects for both factors as well as for the interaction for MR-proADM (p < 0.001), indicating that MR-proADM values are not only modulated over time and show an offset between infected and uninfected patients, but that the time course of MR-proADM has a different trajectory for both patient groups. PCT, on the other hand, also showed significant effects for both factors (p < 0.01), although no significant interaction could be found (p = 0.77), indicating no trajectory differences over time between both patient groups