Abstract
Background
Septic complications after colorectal surgery are frequent and sometimes life-threatening. It is well-known that inflammation impairs the healing process. It has been suggested that preoperative ongoing inflammation could increase the risk of postoperative infections. This study aimed to elucidate the role of preoperative inflammation on postoperative infectious complications and to understand if, through biological markers, it is possible to identify preoperatively patients at higher risk of infection.
Methods
A prospective, observational study was conducted in three centers from November 2011 to April 2014. Consecutive patients undergoing elective colorectal surgery with anastomosis were included. Any ongoing infection was an exclusion criterion. C-reactive protein, albumin, prealbumin and procalcitonin plasma levels were measured preoperatively. Postoperative infections were recorded according to the definitions of the Centers for Diseases Control. The areas under the receiver operating characteristic curve were analyzed and compared to assess the accuracy of each preoperative marker.
Results
Four-hundred and seventy two patients were analyzed. Infectious complications occurred in 118 patients (25%) and mortality in 6 patients (1.3%). In the univariate analysis, preoperative C-reactive protein and albuminemia were found significantly associated with postoperative infectious complications (P = 0.008 and P = 0.0002, respectively). Areas under the ROC curve for preoperative C-reactive protein and albuminemia were 0.57 and 0.62, respectively.
Conclusions
This study confirms the association between preoperative inflammatory activity, hypoalbuminemia and the onset of infections after surgery. Trials aiming to decrease the inflammatory activity before surgery in order to prevent postoperative complications are warranted.
Introduction
Septic complications are responsible for most morbidity, mortality and failure to rescue after colorectal surgery. Despite the steady progress of surgical techniques, preoperative assessment and perioperative management, the risk of overall infection after colorectal surgery is between 16 and 51%1–4. In addition to their short-term clinical impact leading sometimes to life-threatening situations, postoperative infections increase the length of hospital stay, costs and decrease cancer survival. Hence, the identification of patients at risk of developing postoperative infectious complications (PIC) is essential. It has been shown by several authors that high blood levels of C-reactive protein (CRP) and procalcitonin (PCT) between postoperative days 2 and 5 predict postoperative infections5. Inflammatory markers monitoring is thus becoming a standard of care in gastrointestinal surgery.
Recently, some authors suggested that preoperative inflammatory activity is related to a higher risk of PIC6–9. It is well known that local inflammation impairs the healing process and systemic inflammation impairs the immune response10. Preoperative hypoalbuminemia and a low nutritional index are also well-known risk factors of PIC that warrant a specific nutritional support11–13. Whether the effect of hypoalbuminemia is more related to an impaired healing process or to an impaired immune response is not clear. Hypoalbuminemia may also be due to an increased catabolism induced by ongoing inflammation and not only to malnutrition. It has been stated that preoperative immunonutrition decreases the risk of postoperative infections, even in well-nourished patients. Immunonutrition has both, immuno-modulating and anti-inflammatory properties, as well as it reduces the insulin-resistance which has been related to the risk of PIC14–16. These data suggest that modulating preoperative inflammation could decrease the risk of PIC.
The aim of this study was to analyze the link between preoperative inflammation, hypoalbuminemia and PIC.
Materials and methods
Design
From November 2011 to April 2014, patients who underwent elective colorectal surgery with anastomosis in the Departments of Digestive Surgery of the University Hospitals of Dijon and Besancon and the “Georges-Francois Leclerc Anticancer Center” in Dijon were included in a prospective database (IMACORS: Inflammatory MArkers after COloRectal Surgery)2.
Inclusion and exclusion criteria
Patients were eligible for the study if they met all the following criteria: age 18 years or older, a scheduled colorectal resection with anastomosis, preoperative values of CRP, PCT, albuminemia and prealbuminemia available. Patients with a previous ongoing infection, operated on in an emergency or with suspected peritoneal carcinomatosis were excluded. Before inclusion, written informed consent was obtained from all patients. The study was approved by the regional ethics committee CPP Est 1.
Clinical and laboratory assessment and follow-up
Potential patient-specific and preoperative risk factors were recorded prospectively for each patient. The preoperative factors included age, gender, obesity, surgical indication (cancer, polyps, chronic inflammatory bowel disease, chronic diverticular disease, other diseases), laboratory data on the day before surgery (CRP, PCT, prealbuminemia, albuminemia and white blood cell count), American Society of Anesthesia score, comorbidities (cardiovascular, respiratory or hepatic diseases, presence of diabetes mellitus and immunosuppression status) and bowel preparation (decision made by operating surgeon). The surgical data recorded included the procedure and approach (laparoscopy or laparotomy), level of anastomosis and technique (mechanical or handsewn), operative time, perioperative accidents, presence of drainage, diverting stoma and perioperative blood transfusion. During the postoperative period, patients were examined by the attending surgeon daily. The presence of fever (central temperature >38°C), abdominal signs, bowel movements, and the volume and aspect of drainage (if present) were recorded daily. The attending surgeon made the decision to carry out imaging examinations according to his/her own criteria. The rate of septic complications was calculated, including intra-abdominal infection, wound infection, central line infection, pneumonia and urinary tract infection, independently of their severity. Patients were seen in the outpatient clinic within 6 weeks after operation and all complications occurring before POD 30 were recorded.
CRP levels were determined by immunonephelometry (Dimension Vista system, Siemens Healthcare France) in all participating centers. PCT levels were measured by using the Brahms PCT Kryptor® or Vidas®assays (Thermo Fisher Scientific, Hennigsdorf, Germany). The first assay is a homogeneous one-step sandwich immunoassay using time-resolved amplified cryptate emission technology on a Kryptor® system (Thermo-scientific, Asnière, France). The second assay is a one step immunoassay sandwich method associated with a final fluorescent detection step on a Vidas® system(Biomérieux, Marcy, France). Close concordance between the two assays has been previously established elsewhere.17 Plasma levels of albumin (g/l) and prealbumin (g/l) were assayed using commercially available colorimetric (albumin-bromocresol purple complex) and immunoturbidimetric assay kits (Dimension Vista System Flex reagent cartridge, Saint-Denis, France), respectively, in all participating centers.
Assessment and definition of complications
Intra-abdominal infection was defined according to the Centres for Disease Control and Prevention. This definition includes any one of the following criteria: the presence of pus or enteric contents within the drains, the presence of abdominal or pelvic collections in the area of the anastomosis on postoperative imaging (abdominal CT scanner), leakage of contrast through the anastomosis during enema or evident anastomotic dehiscence at reoperation for postoperative peritonitis. All intra-abdominal infection were considered independently of their clinical significance. Wound infection, urinary-tract infection, catheter-related infection, and pneumonia were also defined according to the Centres for Disease Control and Prevention18.
Statistical analysis
Statistical analysis was performed using of SAS software, version 9.4 (SAS Institute Inc; Cary NC, USA) and Stata software version 12 (StataCorpInc, College Station, TX USA). Continuous outcomes were presented as means and standard deviations for normally distributed variables, and with median and interquartile range (IQR) otherwise, and compared with Student tests or non-parametric tests as appropriate. Categorical data were expressed with percentage frequencies and compared with Chi-2 tests. Logistic regressions were used in order to estimate associations between CRP, PCT, albuminemia and PIC, while adjusting for confounding factors. Variables associated with PIC with a p-value below 0.20 in bivariate analyses were included in the model. A backward selection strategy was then applied. The log-linearity of the relation between each continuous variable and PIC was assessed using the fractional polynomial approach19. Interactions with cancer were systematically tested.
A two-sided P value of less than 0.05 was considered to be significant. The areas under the ROC curves were calculated for the preoperative value of CRP, PCT and albumin.
Results
Patients and morbidity
Among the 510 patients included in the IMACORS cohort, 38 patients were excluded for this ancillary study due to missing preoperative data. Thus, 472 patients were retained for the analysis. The characteristics of the patients are presented in Table 1. In total, PIC occurred in 118 (25%) of the 472 patients: intra-abdominal infection occurred in 58 (49.2% of PIC, overall incidence of 12.3%), wound infection in 46 (9.7%), urinary-tract infections in 22 (4.7%), pneumonias in 5 (1%) and catheter-related infections in 9 (1.9%). Six patients (1.3%), all of whom having a PIC, died before POD 30. The median time between the operation and the diagnosis of PIC was 7 days (interquartile range: 5–11 days). The intra-abdominal infection diagnosis was established with imaging in 40 patients (69%), clinical features in 13 (22.4%), and at surgery in the remaining 5 patients (8.6%).
Table 1.
Total patients n=472 |
No PIC n=354 (75.0 %) |
PIC n=118 (25.0 %) |
p-value | |
---|---|---|---|---|
Age (years), mean +/− SD | 65.4 +/− 14.1 | 64.9 +/− 13.9 | 67.0 +/− 14.8 | 0.157 |
Sex, n (%) | ||||
Male | 268 (56.8) | 202 (57.1) | 66 (55.9) | 0.830 |
Female | 204 (43.2) | 152 (42.9) | 52 (44.1) | |
BMI, mean +/− SD | 26.1 +/− 4.8 | 26.0 +/− 4.9 | 26.3 +/− 4.6 | 0.526 |
Comorbidites, n (%) | ||||
History of deep vein thrombosis | 40 (8.5) | 30 (8.5) | 10 (8.5) | 1 |
History of pulmonary embolism | 27 (5.7) | 18 (5.1) | 9 (7.6) | 0.303 |
Valvular heart disease | 12 (2.5) | 9 (2.5) | 3 (2.5) | 1 |
Chronic obstructive pulmonary disease | 30 (6.4) | 24 (6.8) | 6 (5.1) | 0.513 |
Asthma | 26 (5.5) | 18 (5.1) | 8 (6.8) | 0.485 |
Diabetes | 77 (16.3) | 53 (15.0) | 24 (20.3) | 0.172 |
Cirrhosis | 8 (1.7) | 6 (1.7) | 2 (1.7) | 1 |
Immunosuppression | 347 (73.5) | 256 (72.3) | 91 (77.1) | 0.306 |
Cancer | 337 (97.1) | 250 (97.7) | 87 (95.6) | 0.297 |
Hematologic malignancy | 7 (2.0) | 4 (1.6) | 3 (3.3) | 0.385 |
Long-term corticotherapy | 19 (5.5) | 11 (4.3) | 8 (8.8) | 0.113 |
Immunosuppressive therapy | 5 (1.4) | 2 (0.8) | 3 (3.3) | 0.115 |
Neoadjuvant or adjuvant therapy | 73 (21.0) | 54 (21.1) | 19 (20.9) | 0.966 |
Radiotherapy | 55 (75.3) | 39 (72.2) | 16 (84.2) | 0.368 |
Chemotherapy | 65 (89.0) | 49 (90.7) | 16 (84.2) | 0.421 |
Surgical indication | ||||
Diverticular disease | 49 (10.4) | 42 (11.9) | 7 (5.9) | 0.067 |
Colorectal cancer | 324 (68.6) | 243 (68.6) | 81 (68.6) | 1 |
Adenoma | 30 (6.4) | 18 (5.1) | 12 (10.2) | 0.050 |
Chronic inflammatory diseases | 11 (2.3) | 9 (2.5) | 2 (1.7) | 0.739 |
Other(s) | 56 (11.9) | 38 (10.7) | 18 (15.3) | 0.189 |
Preoperative risk factors
Albuminemia and CRP levels were significantly higher in patients going into develop PIC (P = 0.0002 and P = 0.008, respectively); prealbuminemia did not reach significance (P = 0.0589)(Table 2). Preoperative PCT was not associated with an increased risk of developing infections (P> 0.9). When adjusting for confounding covariates (age and cancer) in a multivariate analysis, preoperative CRP and albuminemia were still associated with a later PIC occurrence (P = 0.036 and P< 0.001, respectively). No interaction with cancer was found (P = 0.420 for CRP, P = 0.183 for PCT and P = 0.902 for albuminemia). The area under the ROC curve for preoperative albumin, CRP and PCT was respectively of 0.62, 0.57 and 0.50. When a cut-off value of 5 mg/L was used, preoperative CRP yielded a sensitivity of 52%, a specificity of 58% and a negative predictive value of 78% for the prediction of PIC. Among surgical factors, only operating time > 4h predisposed patients to PIC (P = 0.046). CRP was not significantly associated with intra-abdominal infection. When patients with preoperative CRP levels higher than 100 mg/L (9 patients) were excluded from the cohort (in these cases, extreme values could have reflected undetected ongoing infections or inflammatory diseases), values of CRP remained significantly higher in those going into develop PIC(P = 0.016).
Table 2.
Total patients n=472 |
No PIC n=354 (75.0 %) |
PIC n=118 (25.0 %) |
p-value | |
---|---|---|---|---|
Nutritional status | ||||
Albumin (g/l), mean +/− SD | 36.4 +/− 4.4 | 36.8 +/− 4.3 | 35.1 +/− 4.2 | <0.001 |
Prealbumin (g/l), mean +/− SD | 0.26 +/− 0.06 | 0.27 +/− 0.07 | 0.25 +/− 0.06 | 0.059 |
Inflammatory status | ||||
Preoperative CRP, median | 4 (3–12) | 4 (3–11) | 6 (3–16) | 0.008 |
Preoperative PCT, median | 0.07 (0.05–0.10) | 0.07 (0.05–0.90) | 0.06 (0.05–0.11) | 0.998 |
Patients operated on for cancer (330 patients) had higher preoperative values of CRP than those operated on for benign diseases (142 patients): 17.8 vs. 7.1 mg/L, p = 0.0002; but they did not have a significantly higher risk of PIC.
Discussion
Based on a prospective study designed to assess CRP and PCT as early predictors of postoperative infections following colorectal surgery, this analysis confirmed the relationship between preoperative systemic inflammation measured by CRP and the risk of PIC. Hypoalbuminemia was also associated with a higher risk of infections, as it has already been shown in several works12,20,21. Unsurprisingly, preoperative PCT was not related to the onset of PIC, as it is more a marker of ongoing bacterial infection than a marker of general inflammatory activity.
Intra-abdominal infections after colorectal surgery become clinically evident around postoperative days 6 and 7 or even later, except in case of technical default in which the onset of symptoms is earlier2,22–24. Even when routine CT scan is performed for the screening of intra-abdominal infection, its sensitivity is low before POD 425. Overall, these data give an idea of anastomotic leakage as an event appearing at the end of the first postoperative week. However, levels of CRP and PCT rise significantly higher as early as postoperative day 1 in patients going into infection5,9. This fact raises the hypothesis of inflammatory response starting at the tissue level much earlier than the onset of the clinical picture. Inflammation may be not only a consequence but also a risk factor of surgical infection and its role might even begin preoperatively.
Several authors have suggested that preoperative ongoing inflammation and hypoalbuminemia are associated with an increased risk of both, PIC and intra-abdominal infection6–9,22,26–28. Our results confirm this relationship between preoperative CRP and the risk of PIC. Hypoalbuminemia may result of malnutrition, particularly in cancer patients, but is also due to the accelerated catabolism induced by systemic inflammation. The mechanism by which these factors increase the risk of complications seems to be a composite of impaired healing and impaired immune response. Consistent results have been found recently in patients operated on for Crohn’s disease: higher preoperative values of CRP (with a cutoff of 14.50 mg/L) and rising values in the 2 weeks before surgery were associated with an increased risk of intra-abdominal septic complications29. Preoperative elevation of serum CRP has been significantly related to the reduction of lymphocyte percentages in peripheral blood, and it can be an indicator of impaired immunity in patients with colorectal cancer10. The increased inflammatory activity in patients operated on for colorectal cancer has also been shown in previous studies30. It could be expected that this could lead to an increase in the risk of PIC or surgical-site infection in cancer patients, but this was not the case in the present series, as it was not the case in previous series analyzing the risk factors of infection after colorectal surgery26,27.
Other data supporting the role of preoperative systemic inflammation on the onset of PIC come from studies having measured adipocytokines preoperatively in patients undergoing elective colorectal surgery. Leptin is a proinflammatory adipocytokine related to systemic inflammation and, more specifically, to the inflammatory activity in the fatty tissue. This has been suggested as an explanation of the increased risk of surgical site infection in obese patients22,31. Leptin is also related to insulin resistance, which is involved in the risk of infection32, and its values are also consistently elevated in patients going into develop PIC16.
Further results supporting the role of inflammation in the onset of PIC come from clinical trials which showed a benefit of preoperative immunonutrition and perioperative anti-inflammatory drugs. Actually, immunonutrition modulates the immune and inflammatory responses after surgery and decreases significantly the risk of PIC in patients undergoing major gastrointestinal or colorectal surgery for cancer, even in well-nourished patients33–35. On the same way, a benefit in morbidity and length of hospital stay has been shown with the use of glucocorticoids and non-steroidal anti-inflammatory drugs in the preoperative and early postoperative period, respectively36–37. Some authors have even used preoperative glucocorticoids to decrease CRP values without increasing the infectious risk38. Another issue is the specific impact of gut microbiota in the preoperative inflammatory and the risk of anastomotic leak and PIC. All these data converge in showing that preoperative inflammatory activity is related to an increased risk of both, postoperative infection and intra-abdominal infection. This opens the door to clinical trials aiming at reducing preoperative inflammation combining nutritional and pharmacological approaches.
Could preoperative CRP select patients who deserve a more intensive surveillance policy or even additional antibiotic prophylaxis? We think that its ability to discriminate patient who will develop a PIC from patients who will not (AUC=0.57) does not allow its use to change either the antibiotic prophylaxis policy or the postoperative surveillance.
This study has some limits. We did not measure other inflammatory, stress and healing markers (e.g. interleukin-6, insulin, leptin, adiponectin, praline, etc), whose values could have been helpful for a more global overview of the relationship between preoperative inflammation, healing and PIC. Seemingly, we did not analyze the preoperative imaging results looking for an explanation to elevated CRP levels in patients with higher values. However, all patients with preoperative known ongoing complications were excluded from the IMACORS cohort. Furthermore, the exclusion of the extremely high values of CRP did not change the relationship between the marker and the incidence of PIC. This suggests that the inflammatory preoperative status has a role on the onset of PIC, even for lower values. Finally, an analysis of the visceral adipose tissue in the preoperative imaging (as it is a source of inflammation) would have been of interest.
In conclusion, preoperative ongoing inflammation and hypoalbuminemia are related to the onset of postoperative infection after elective colorectal surgery. The benefit of therapeutic approaches to reverse the inflammatory activity before surgery should be assessed in future trials in which patients could be selected according to these markers.
Acknowledgments
Funding source: The IMACORS study was funded by the Groupement de Coopération Sanitaire Grand-Est, the Regional Council of Burgundy, a French National Research Agency grant under the program “Investissements d’Avenir” (ANR-11-LABX-0021), and a grant from Brahms France SAS.
The authors are indebted to Elisabeth Devilliers, MD, for her heartful support to this project. The authors also thank the data monitoring board (Cassandra Porebski, Emilie Galizzi, Alexandra Felin, Amandine Martin, Fanny Lachaux, Donya Souhiel Da Costa, Joelle Fritsch, and Chrystelle Cappe); the safety monitoring board (Aurélie Grandvuillemin, PharmD); the administrative support team (Evelyne Phu and Maud Carpentier), the staff of the participant surgical departments for their help; Sandrine Vinaultand Sandrine Daniel for their help with the statistical analysis, and Mr Philip Bastable for the language revision of the article.
References
- 1.Alves A, Panis Y, Mathieu P, Mantion G, Kwiatkowski F, Slim K. Postoperative mortality and morbidity in French patients undergoing colorectal surgery. Arch Surg. 2005;140:278–283. doi: 10.1001/archsurg.140.3.278. [DOI] [PubMed] [Google Scholar]
- 2.Facy O, Paquette B, Orry D, Binquet C, Masson D, Bouvier A, et al. Diagnostic accuracy of inflammatory markers as early predictors of infection after elective colorectal surgery: results from the IMACORS study. Ann Surg. 2016;263:961–966. doi: 10.1097/SLA.0000000000001303. [DOI] [PubMed] [Google Scholar]
- 3.De Magistris L, Azagra JS, Goergen M, De Blasi V, Arru L, Facy O. Laparoscopic sigmoidectomy in moderate and severe diverticulitis: analysis of short-term outcomes in a continuous series of 121 patients. Surg Endosc. 2013;27:1766–1771. doi: 10.1007/s00464-012-2676-7. [DOI] [PubMed] [Google Scholar]
- 4.Bakker IS, Grossmann I, Henneman D, Havenga K, Wiggers T. Risk factors for anastomotic leakage and leak-related mortality after colonic cancer surgery in a nationwide audit. Br J Surg. 2014;101:424–432. doi: 10.1002/bjs.9395. [DOI] [PubMed] [Google Scholar]
- 5.Cousin F, Ortega-Deballon P, Bourredjem A, Doussot A, Giaccaglia V, Fournel I. Diagnostic accuracy of procalcitonin and C-reactive protein for the early diagnosis of intra-abdominal infection after elective colorectal surgery: a meta-analysis. Ann Surg. doi: 10.1097/SLA.0000000000001545. (in press) [DOI] [PubMed] [Google Scholar]
- 6.Moyes LH, Leitch EF, McKee RF, Anderson JH, Horgan PG, McMillan DC. Preoperative systemic inflammation predicts postoperative infectious complications in patients undergoing curative resections for colorectal cancer. Br J Cancer. 2009;100:1236–1239. doi: 10.1038/sj.bjc.6604997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kubo T, Ono S, Ueno H, Shinto E, Yamamoto J, Hase K. Elevated preoperative C-reactive protein levels are a risk factor for the development of postoperative infectious complications following elective colorectal surgery. Langenbecks Arch Surg. 2013;398:965–971. doi: 10.1007/s00423-013-1107-0. [DOI] [PubMed] [Google Scholar]
- 8.González-Martínez S, Olona Tabueña N, Martín Baranera M, Martí-Saurí I, Moll JL, Morales García Má, et al. Proteínas mediadoras de la respuesta inflamatoria como predictores de resultados adversos postoperatorios en pacientes quirúrgicos octogenarios: estudio prospectivo observacional. Cirugia Española. 2015;93:166–173. doi: 10.1016/j.ciresp.2014.08.006. [DOI] [PubMed] [Google Scholar]
- 9.Ortega-Deballon P, Radais F, Facy O, d’Athis P, Masson D, Charles PE, et al. C-reactive protein is an early predictor of septic complications after elective colorectal surgery. World J Surg. 2010;34:808–814. doi: 10.1007/s00268-009-0367-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Nozoe T, Matsumata T, Sugimachi K. Preoperative elevation of serum C-reactive protein is related to impaired immunity in patients with colorectal cancer. Am J Clin Oncol. 2000;23:263–266. doi: 10.1097/00000421-200006000-00011. [DOI] [PubMed] [Google Scholar]
- 11.Hu WH, Cajas-Monson LC, Eisenstein S, Parry L, Cosman B, Ramamoorthy S. Preoperative malnutrition assessments as predictors of postoperative mortality and morbidity in colorectal cancer: an analysis of ACS-NSQIP. Nutr J. 2015;14:91. doi: 10.1186/s12937-015-0081-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hennessey DB, Burke JP, Ni-Dhonochu T, Shields C, Winter DC, Mealy K. Preoperative hypoalbuminemia is an independent risk factor for the development of surgical site infection following gastrointestinal surgery: a multi-institutional study. Ann Surg. 2010;252:325–329. doi: 10.1097/SLA.0b013e3181e9819a. [DOI] [PubMed] [Google Scholar]
- 13.Braga M, Wischmeyer PE, Drover J, Heyland DK. Clinical evidence for pharmaconutrition in major elective surgery. JPEN J Parenter Enteral Nutr. 2013;37:66S–72S. doi: 10.1177/0148607113494406. [DOI] [PubMed] [Google Scholar]
- 14.Matsuda A, Furukawa K, Takasaki H, Suzuki H, Kan H, Tsuruta H, et al. Preoperative oral immune-enhancing nutritional supplementation corrects TH1/TH2 imbalance in patients undergoing elective surgery for colorectal cancer. Dis Colon Rectum. 2006;49:507–516. doi: 10.1007/s10350-005-0292-5. [DOI] [PubMed] [Google Scholar]
- 15.Okamoto Y, Okano K, Izuishi K, Usuki H, Wakabayashi H, Suzuki Y. Attenuation of the systemic inflammatory response and infectious complications after gastrectomy with preoperative oral arginine and omega-3 fatty acids supplemente immunonutrition. World J Surg. 2009;33:1815–21. doi: 10.1007/s00268-009-0140-1. [DOI] [PubMed] [Google Scholar]
- 16.Ortega-Deballon P, Ménégaut L, Fournel I, Orry D, Masson D, Binquet C, et al. Are adiponectin and leptin good predictors of surgical infection after colorectal surgery? A prospective study. Surg Infect. 2015;16:566–571. doi: 10.1089/sur.2014.206. [DOI] [PubMed] [Google Scholar]
- 17.Lagabrielle JF, Tachet A, Boin V. Dosage de la procalcitonine : comparaison des résultats obtenus sur Kryptor® (Brahms) et Vidas® (BioMérieux) Immunoanalyse & Biologie Spécialisée. 2008;23:245–250. [Google Scholar]
- 18.Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36:309–332. doi: 10.1016/j.ajic.2008.03.002. [DOI] [PubMed] [Google Scholar]
- 19.Royston P, Sauerbrei W. A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials. Stat Med. 2004;23:2509–25. doi: 10.1002/sim.1815. [DOI] [PubMed] [Google Scholar]
- 20.Ataseven B, du Bois A, Reinthaller A, Traut A, Heitz F, Aust S, et al. Pre-operative serum albumin is associated with post-operative complication rate and overall survival in patients with epithelial ovarian cancer undergoing cytoreductive surgery. Gynecol Oncol. 2015;138:560–565. doi: 10.1016/j.ygyno.2015.07.005. [DOI] [PubMed] [Google Scholar]
- 21.Bohl DD, Shen MR, Kayupov E, Della Valle CJ. Hypoalbuminemia independently predicts surgical site infection, pneumonia, length of stay, and readmission after total joint arthroplasty. J Arthroplasty. 2016;31:15–21. doi: 10.1016/j.arth.2015.08.028. [DOI] [PubMed] [Google Scholar]
- 22.Frasson M, Flor-Lorente B, Rodriguez JL, Granero-Castro P, Hervás D, Alvarez Rico MA, et al. Risk factors for anastomotic leak after colon resection for cancer: multivariate analysis and nomogram from a multicentric, prospective, national study with 3193 patients. Ann Surg. 2015;262:321–330. doi: 10.1097/SLA.0000000000000973. [DOI] [PubMed] [Google Scholar]
- 23.Krarup PM, Jorgensen LN, Harling H Danish Colorectal Cancer Group. Management of anastomotic leakage in a nationwide cohort of colonic cancer patients. J Am Coll Surg. 2014;218:940–949. doi: 10.1016/j.jamcollsurg.2014.01.051. [DOI] [PubMed] [Google Scholar]
- 24.Hyman N, Manchester TL, Osler T, Burns B, Cataldo PA. Anastomotic leaks after intestinal anastomosis: it’s later than you think. Ann Surg. 2007;245:254–258. doi: 10.1097/01.sla.0000225083.27182.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kornmann VN, van Ramshorst B, Smits AB, Bollen TL, Boerma D. Beware of false negative CT scan for anastomotic leakage after colonic surgery. Int J Colorectal Disease. 2014;29:445–451. doi: 10.1007/s00384-013-1815-5. [DOI] [PubMed] [Google Scholar]
- 26.Telem DA, Chin EH, Nguyen SQ, Divino CM. Risk factors for anastomotic leak following colorectal surgery: a case control study. Arch Surg. 2010;145:371–376. doi: 10.1001/archsurg.2010.40. [DOI] [PubMed] [Google Scholar]
- 27.Mäkelä JT, Kiviniemi H, Laitinen S. Risk factors for anastomotic leakage after left-sided colorectal resection with rectal anastomosis. Dis Colon Rectum. 2003;46:653–660. doi: 10.1007/s10350-004-6627-9. [DOI] [PubMed] [Google Scholar]
- 28.Golub R, Golub RW, Cantu R, Jr, Stein HD. A multivariate analysis of factors contributing to leakage of intestinal anastomosis. J Am Coll Surg. 1997;184:364–372. [PubMed] [Google Scholar]
- 29.Zuo L, Li Y, Wang H, Zhu W, Zhang W, Gong J, et al. A practical predictive index for intra-abdominal septic complications after primary anastomosis for Crohn’s disease: change in C-reactive protein level before surgery. Dis Colon Rectum. 2015;58:775–781. doi: 10.1097/DCR.0000000000000414. [DOI] [PubMed] [Google Scholar]
- 30.Duvillard L, Ortega-Deballon P, Bourredjem A, Scherrer ML, Mantion G, Delhorme JB, et al. A case-control study of pre-operative levels of serum neutrophil gelatinase-associated lipocalin and other potential inflammatory markers in colorectal cancer. BMC Cancer. 2014;14:912. doi: 10.1186/1471-2407-14-912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ortega-Deballon P, Duvillard L, Scherrer M-L, Deguelte-Lardière S, Bourredjem A, Petit JM, et al. Preoperative adipocytokines as a predictor of surgical infection after colorectal surgery: a prospective survey. Int J Colorectal Dis. 2014;29:23–29. doi: 10.1007/s00384-013-1782-x. [DOI] [PubMed] [Google Scholar]
- 32.Mullen JT, Davenport DL, Hutter MM, Hosokawa PW, Henderson WG, Khuri SF, et al. Impact of body mass index on peroperative outcomes in patients undergoing major intra-abdominal cancer surgery. Ann SurgOncol. 15:2164–2172. doi: 10.1245/s10434-008-9990-2. [DOI] [PubMed] [Google Scholar]
- 33.Gianotti L, Braga M, Nespoli L, Radaelli G, Beneduce A, Di Carlo V. A randomized controlled trial of preoperative oral supplementation with a specialized diet in patients with gastrointestinal cancer. Gastroenterology. 2002;122:1763–1770. doi: 10.1053/gast.2002.33587. [DOI] [PubMed] [Google Scholar]
- 34.Akbarshahi H, Andersson B, Nordén M, Andersson R. Perioperative nutrition in elective gastrointestinal surgery potential for improvement? Dig Surg. 2008;25:165–174. doi: 10.1159/000136478. [DOI] [PubMed] [Google Scholar]
- 35.Marimuthu K, Varadhan KK, Ljungqvist O, Lobo DN. A meta-analysis of the effect of combinations of immune modulating nutrients on outcome in patients undergoing major open gastrointestinal surgery. Ann Surg. 2012;255:1060–1068. doi: 10.1097/SLA.0b013e318252edf8. [DOI] [PubMed] [Google Scholar]
- 36.Srinivasa S, Kahokehr AA, Yu TC, Hill AG. Preoperative glucocorticoid use in major abdominal surgery: systematic review and meta-analysis of randomized trials. Ann Surg. 2011;254:183–191. doi: 10.1097/SLA.0b013e3182261118. [DOI] [PubMed] [Google Scholar]
- 37.Chapman SJ, Glasbey J, Kelly M, Khatri C, Nepogodiev D, Fitzgerald JE, et al. Impact of postoperative non-steroidal anti-inflammatory drugs on adverse events after gastrointestinal surgery. Br J Surg. 2014;101:1413–1423. doi: 10.1002/bjs.9614. [DOI] [PubMed] [Google Scholar]
- 38.Suezawa T, Aoki A, Kotani M, Tago M, Kobayashi O, Hirasaki A, et al. Clinical benefits of methylprednisolone in off-pump coronary artery bypass surgery. Gen Thorac Cardiovasc Surg. 2013;61:455–459. doi: 10.1007/s11748-013-0206-8. [DOI] [PubMed] [Google Scholar]