Radical cystectomy (RC) is a standard treatment for muscle-invasive bladder cancer associated with extensive tissue resection and a prolonged operating time. Urinary diversion (UD) is often performed and, in the majority of cases, the morbidity of the procedure remains substantial.[2,3] Indeed, up to 78% of patients underwent RC have been reported with postsurgery complications.[4–9] Over and above, perioperative complications prolong the total length of stay in a hospital, significantly increase the cost of care, and the risk of readmission.
The systemic inflammatory response after the use of intestinal substitution for urinary reconstruction is substantial and often manifests as the systemic inflammatory response syndrome (SIRS).[11,12] Up to 20% to 40% of patients following RC have been reported with postoperative infections, including urinary tract infections (UTIs), surgical site infections (SSIs), and sepsis; SIRS can also occur as a consequence of infectious complications.[13–16] However, the signs of SIRS are nonspecific and can often be seen in several (none septic) critically ill conditions,[17,18] tachycardia, fever on their own has low specificity and sensitivity for diagnosing bacteria infections. In many cases, currently used inflammatory markers of systemic inflammation, for example, white blood cell (WBC) and C-reactive protein (CRP), which are routinely used as surrogate markers for infection are of limited use to distinguish between the causes of SIRS.[20–22]
Procalcitonin (PCT) is an appealing biomarker as, not only is it a more sensitive and specific marker of bacterial infections compared with CRP and WBC, but it also rises earlier in the course of bacterial infection with a half-life of around 24 hours.[23,24] However, the same absolute value of PCT for monitoring laparoscopic radical cystectomy (LRC) postoperative infections is not well defined yet, because the impact of surgery on PCT levels is unknown and elevated PCT can also be present without infection, in conditions such as surgery and trauma or after cardiac arrest.[25–27] There is some evidence that evaluating PCT kinetics may be superior to absolute values. To our best knowledge, there are no published data relating to PCT kinetics and their connected clinical usefulness in patients with bladder cancer undergoing LRC.
The objectives of present study were to clear which of absolute postoperative values of PCT, CRP, and WBC or delta changes of PCT, CRP, and WBC can best predict infection in the immediate postoperative period and to assess whether the characteristics related to LRC affect PCT after the surgery.
The key element of the study design is the introduction of delta values of PCT, CRP, and WBC of noninfection- (NI-) and infection- (I-) patients to evaluate their diagnostic performance.
Noninterventional, single-center retrospective study was carried out using a database that had been prospectively collected at The Second Affiliated Hospital of Kunming Medical University from May 2013 and May 2016. The criteria for inclusion were LRC with UD. Of which 328 patients received LRC and UD, 306 consecutive patients were studied. The exclusion factors were age younger than 18 years, refusal of consent, antibiotic therapy before surgery, and preoperative infection treatment with corticosteroids. Permission to carry out this study was obtained from the local ethics committee. All patients who agreed to participate in this study signed a consent form. Perioperative prophylactic antibiotics consisted of ampicillin/sulbactam(1.5 g iv) + metronidazole (0.5 g iv) were administered at the beginning of anesthesia induction and were continued for up to 2 days after surgery. All patients underwent either ileal conduit diversion or orthotopic neobladder reconstruction by the same surgical team. A comprehensive discussion with the patients’ families and individual preferences were taken into consideration while the choice of diversion was made.
Patients were diagnosed with infection by 2 experts independently (agreement of at least 2 consultant infection specialists, intensive care specialists, or surgeons), based on clinical syndrome (cough, fever, pain, swelling, or redness), microbiological documentation (by positive culture, tissue stain), laboratory tests (the presence of WBCs in a normally sterile body fluid), or radiological evidence(pneumonia cases) of the foci, according to the International Sepsis Forum Consensus Conference criteria. It can take a few days before reporting definite culture results, the day of specimen collection was defined as the day of infection diagnosis. Sepsis is defined as SIRS plus microbiological evidence of a focal infection and/or a positive blood culture. Patients were consider to have SIRS when presenting at least 2 or more of the following conditions: temperature >38°C or <36°C, heart rate >90 beats/min, respiratory rate >20 breaths/min or PaCO2 <32 mm Hg, and WBC count >12,000/mm3, <4000/mm3, or >10% immature forms. By definition, in SIRS patients no focus and no infection could be diagnosed. Microbiological specimens were collected from all suspected instantly before the administration of the first dose of antibiotics (day t0).
2.3 Study design and data collection
After enrollment, demographic data including age, sex, smoking status [classified as current (within 1 year of surgery) vs not current], diabetes(yes or no), body mass index (BMI), types of surgery, American Society of Anesthesiologists score, tumor stage, and receipt of a perioperative blood transfusion (PBT, inclusive of intraoperative and postoperative during hospitalization) were recorded. UD were defined as orthotopic neobladder and ileal conduit diversion. Operative time, length of stay, and estimated blood loss were present as median, interquartile range.
PCT measurement serum samples were obtained preoperatively (day 0), and then daily postoperatively until postoperative day 5(POD 5) from patients included in this study. The day on which new onset infection was observed was defined as day t0 and the day after that as day t1, respectively. For the NI-group, the day on which PCT was at the peak was defined as day t1 and the previous day as day t0. CRP and WBC values were also recorded with every PCT measure. PCT, CRP, and WBC values on day t1 were defined as absolute values. Patients were also divided into 3 clinical groups: sepsis, SIRS, and event-free. The event-free group included patients without SIRS or infection, whose PCT, CRP, and WBC values were recorded at POD1 as control.
Serum PCT was measured by an immunoluminometry assay (LUMItest PCT; Brahms Diagnostica, Berlin, Germany). Whose detection limit was 0.05 ng/mL. WBC counts were measured via the Hematology Analyzer (XS-1000, Sysmex, Kobe, Japan). WBC counts above 10 × 109/L represent above normal (positive). CRP was determined with an immunoturbidimetric assay (ADVIA 1650, Siemens, London, UK). CRP level above 10 mg/L was considered as positive. All samples were processed and analyzed within 2 hours.
2.4 Statistical analysis
Data were analyzed using IBM SPSS Statistics Version 19 SPSS (Chicago, IL). Continuous variables were expressed as means and standard deviations or median (interquartile range). Categorical variables were described as frequencies and percentages. The Mann–Whitney U test was used to compare the median values of 2 nonparametric variables, associations of patient characteristics with the incidence of infection between 2 groups were analyzed with χ2 or Fisher exact tests for categorical variables and t test/Wilcoxon texts or 1-way analysis of variance for continuous variables. Receiver operating curves (ROCs) were performed on the apparent fastest rising biomarker in relation to timing of clinical diagnosis of postoperative infections to determine area under the curve for PCT, CRP, and WBC. Sensitivity and specificity values were also determined at various cut-off levels for each biomarker. Multivariable logistic regression was performed, and odds ratios (ORs) were calculated to describe the independent associations between patient characteristics and outcome. P < .05 (2 sided) was considered statistically significant.
The “delta” was considered as the absolute changes in the values (subtracting day t0 from day t1) of PCT, CRP, and WBC.
3.1 Baseline clinical demographic characteristics and out comes
A total of 306 (283 male vs 23 female) patients were studied in this noninterventional study. SIRS occurred in 138 patients (45.1%). Forty-six patients were diagnosed with postoperative infections, of which 13(4.2%) were SSI, anastomotic bowel leak 3(1%), UTI 12(3.9%), postoperative sepsis 7(2.29%), peritonitis 4(1.3%), postoperative pneumonia 7(2.29%), and 122 patients were event free. The flow chart of the data collection is summarized in Figure 1.
The median age of the cohort was 66 years, clinicopathologic demographic are listed in Table 1. A total of 191 patients received RC with orthotopic ilealneo bladder and 115 patients underwent RC with ileal conduit diversion, no significant difference was observed between the incidence of infection between the groups. Compared to patients without an infection, patients who experienced a postoperative infection often underwent a longer operative time (median 412 vs 365.5 minutes; P = .01), more likely to have received a PBT (41.3% vs 24.2%; P = .01), and experienced a longer median length of stay in the hospital (median 20 vs 18.9 days; P = .11).
3.2 Serial changes in serum PCT, leukocyte, and CRP values
Preoperative (day 0), the day of new onset infection (day t0), PCT, CRP, and WBC were almost identical in both I- and NI-groups (Fig. 2). However, PCT plasma concentrations on day t0 were elevated in almost all patients compared to day 0, both in the I-group (median 1.0 ng/mL, interquartile range 0.75) vs (median 0.10 ng/mL, interquartile range 0.12) (P
< .01) and NI-group (median 0.69 ng/mL, interquartile range 1.99) vs (median 0.11 ng/mL, interquartile range 0.09) (P
< .01). On day t-1, serum PCT levels in the I-group (median 2.9 ng/mL, interquartile range 1.3) were significantly higher compared to the NI-group (median 1.3 ng/mL, interquartile range 1.5; P < .01), and there was obviously an increase with respect to day t0 (median 1.0 ng/mL, interquartile range 0.75, P
< .01). Postoperative increased WBC and CRP can be observed in all patients with a normal postoperative course on day t0, while there was no significant difference in WBC and CRP values between the I- and NI- groups both on day t0 and day t1, nor could we find significant changes from day t0 to day t1(Table 2).
On day t1, PCT concentrations were higher in patients with sepsis (median 5.7 ng/mL, interquartile range 13.1) vs SIRS (median 2.8 ng/mL, interquartile range 0.85) vs control (median 0.70 ng/mL, interquartile range 0.57), P
< .01. The SIRS group (median 14.2 × 109/L, interquartile range 4.9 × 109) had significantly higher WBC counts than control (median 10.3 × 109/L, interquartile range 4.6 × 109), P
< .01. The CRP levels in SIRS group (median 158.2 mg/L, interquartile range 99.5) were higher than control (median 112.1 mg/L, interquartile range 53.2), P
< .01. The differences in serum CRP and WBC levels between SIRS and sepsis were not significant (Fig. 3).
3.3 Predicting value for indicating infection
Serum PCT seemed to be reasonably the fastest rising biomarker concerning postoperative infection cases, an ROC curve analysis on day t1 also showed that PCT delta changes had a significant predictive value (0.88) in predicting infections, compared to PCT's area under the ROC curve (AUC) for absolute changes (0.72). Moreover, CRP, WBC value, or their delta changes did not show a better diagnostic value than PCT (Fig. 4, Table 3).
3.4 Best Cut-off Value
The best cut-off values for PCT, CRP, and WBC absolute value at day t1 and delta changes were determined by the Youden index. For the PCT cut-off value it was 0.89 ng/mL with a sensitivity of 0.75 [95% confidence interval (CI): 0.65–0.83] and a specificity of 0.68 (95% CI: 0.53–0.81) to indicate infection after the surgery, whereas delta PCT change yielded at a cut-off value at 0.79 ng/mL, with a sensitivity of 0.88 (95% CI: 0.75–0.96) and a specificity of 0.84 (95% CI: 0.75–0.90).
3.5 Multivariable logistic regression analysis for infection
Multivariable models were then created to assess the association of clinicopathologic features with delta PCT ≥0.79 ng/mL and infectious complications for patients undergoing LRC, we found that prolonged (≥376 minutes) operative time (OR = 2.15, 95% CI: 1.10–4.21; P = .02) and receipt of a PBT (OR = 2.43, 95% CI: 1.21–4.89; P = .01) remained associated with a significant increase of delta PCT ≥0.79 ng/mL under the model, at the same time, prolonged (≥376 minutes) operative time (OR = 2.87, 95% CI: 1.45–5.65; P
< .01), receipt of a PBT (OR = 3.18, 95% CI: 1.49–6.29; P
< .01), and delta PCT >0.79 ng/mL (OR = 135.4, 95% CI: 40.34–454.5; P
< .01) remained associated with a significantly increased risk of infection within 5 days of surgery (Table 4).
The SIRS response after complex and prolonged LRC can be significant, the incidence of SIRS in patients undergoing LRC was 57.1% in the study of Wang et al. Although the classical definitions of sepsis syndromes and consensus criteria of sepsis have been implemented worldwide for decades, differentiating systemic inflammatory response from bacterial infection remains a challenge.[31–33] In this diagnostic dilemma, there has been considerable interest in the use of biomarkers for infectious complications post-LRC, because it allows for appropriate management in a vulnerable patient, reducing unnecessary use of antimicrobials and decreasing costs. Among these biomarkers, the 2 most commonly used are CRP and WBC, but they are neither sensitive nor specific in the diagnosis of complications of bacterial infections.
Infectious complications following RC with UD consist mainly of UTIs (9.5%), SSIs (12.7%), and sepsis events (9.7%). Of 2.3% deaths within 90 days of RC, 56% cases had septicemia, mainly caused by ileus or anastomotic bowel leak or by UTIs, leading to multiorgan failure and acute respiratory distress. Associated clinical signs are usually insensitive and do not always allow for early diagnosis. Early diagnosis in the critically ill cases is crucial as any delay in adequate antibiotic treatment of sepsis or septic shock evokes worsening morbidity and mortality results. Thus identification of a reliable and more specific and sensitive marker that could assist in the rapid identification or prediction of patients with postoperative infection would be of considerable clinical importance.
In the present study, 46(15.03%) of patients had proven infection. Considering that the timing of clinical diagnosis of postoperative infections is quite different, this complex retrospective analysis of all results is totally different from “defining” patients as infectious, with the same schedule after the surgery as seen in several studies.[38,39] Because infectious complications did not occur at the same time, in this study we provided a more robust approach utilizing all clinical data available trying to identify the fastest and most reliable biomarker to aid in the diagnosis of postsurgery infection.
In our study, a baseline indicators of infection such as WBC values, PCT, CRP before surgery (day 0) are sustained at normal levels which may rule out the possibility that the pathology itself lead to elevation of these markers (Table 2). In addition, in our cohort, the altered level of PCT, CRP, and WBC from day t0 to day t1, only PCT absolute value change showed significant difference between the I-group and NI-group, whereas there is no such change in CRP and WBC (Fig. 2). Levels of PCT, CRP, and WBC values were increased significantly on POD1 in the event-free group; this phenomenon may be due to the impact of surgery on inflammatory response (Fig. 3).
Serum PCT is detectable a few (3–6 hours) hours after a single endotoxin injection into rabbits or humans and its half-life is 25 to 30 hours.[25,40] However, CRP levels did not show significant difference between the I- and NI- groups within the first 48 hours, this is described elsewhere indicating that CRP is a “slow” marker and not as reliable as PCT in predicting infection.[41,42] In addition to that, several studies reported significant increase of CRP after surgery despite the etiology.[26,43] Earlier findings demonstrating that PCT is a well-established diagnostic marker for surgical patients, and its levels correlate with the severity of complications, Saeed et al reported the observation of significant higher PCT levels in patients with anastomotic bowel leak, sepsis, or peritonitis compared to patients with localized infections such as SSIs. In our study, serum PCT concentrations in the patients with sepsis were significantly higher than that in the SIRS group, neither the absolute values of CRP nor its percentage changes were able to predict new onset infection. Serum CRP levels were not able to differentiate sepsis and SIRS, the same holds true for WBC (Fig. 3).
The most important finding of the current study is that delta changes of PCT may be a better, universally applicable approach to monitoring new onset infection rather than absolute values in patients after LRC. In the study of Saeed et al, serum PCT levels increased sharply in patients who developed an early operative clinical infection during the first day, while when infected cases are clinically resolving 2 days later, mean serum PCT levels showed 54.4% reduction compared to the first day. Trasy et al find a significant decrease of PCT in critically ill patients who received appropriate antimicrobial therapy within the first 24 hours, compared to the inappropriately treated group, PCT levels continued to rise, they also proved that the percentage change of PCT (>73.5%) within 24 hours could be a better indicator for evaluating appropriate antimicrobial treatment. Based on the present study, the AUC for delta PCT changes was significantly higher than that for PCT absolute values, the best cut-off values were >0.79 ng/mL. The reason why absolute PCT values may be of limited use is that after trauma, burns, pancreatitis, major surgery, and ischemia-reperfusion, also known as damage-associated molecular patterns (DAMPs), there is an inflammatory mediator release from the mitochondria very similar to that following an infectious insult, called DAMP, or “pathogen-associated molecular patterns”. Therefore, unspecific PCT release can be seen once similar mediators/proteins are released in a surgical patient[42,48] and explained PCT levels rose in our patients in the control group. Another significant finding of the present study is that CRP and WBC could not differentiate between the NI-) and I-groups within the first day of new onset infection.
Studies to date focused on perioperative RC found that patients with diabetes and higher BMI, who received a PBT, underwent prolonged operative time, and those with a postoperative urine leak were at increased risk for infectious complications.[2,46] Our current studies are in accordance with previous findings that receipt of PBT is a risk factor for infectious complications in multivariable models in patients with LRC, supporting the critical review that PBT is a modifiable risk factor and judicious perioperative blood management strategies would be of necessity. Meanwhile, we found here that prolonged operative time (>376 minutes) and delta PCT ≥ 0.79 ng/mL was independently associated with increased risk of infectious complications.
The results of the present study means that, although daily measurements of PCT is not a routine practice in patients undergoing LRC, absolute PCT value is of limited use in predicting infection after the surgery, evaluating PCT kinetics may be a better approach monitoring new onset infection. Tsangaris et al observed that a 2-fold increase of PCT preceding the advent of fever was associated with proven infection, which means PCT kinetics, interpreted with individual clinical information, demonstrating a diagnostic value. On the contrary, when an increasing trend of PCT values was observed, an infectious complication should be highly suspected and further examinations are necessary to early start the proper antibiotic therapy. In addition to that, PCT is among the most promising sepsis markers in critically ill patients and capable of complementing clinical signs and routine laboratory parameters suggestive of severity of infection after LRC. Finally, patients with risk factors for infectious complications, such as prolonged operative time or PBT, deserve a careful monitoring of PCT kinetics.
Our study has some limitations. Firstly, in this study, although delta PCT had a good diagnostic value, it could only serve as an auxiliary marker for the diagnosis of postsurgery infections, as diagnosis was made mainly after the infection was determined by clinical symptoms. Secondly, there is no standard criterion for diagnosing infection, when physicians observed a PCT increase, they suspected infection more likely, despite the fact that 2 independent experts taking all microbiology and clinical data into account, 1 cannot rule out the possibility of the mistakes during the process. Thirdly, due to logistical and patients consents-related issues, we collected WBC, CRP, and PCT plasma values for 5 consecutive days after the surgery, the patients suffering an infection out of the process were missing. Despite these limitations, to our best knowledge, this is the first study concerning perioperative PCT kinetics in patients receiving LRC.
In conclusion, our study suggest that there is a trend for a faster increase of PCT level compared to CRP and WBC after infection was spotted in patients with LRC, the absolute value change of PCT within the first day of new onset infection are superior to absolute values in diagnosing infection in patients who underwent LRC, while neither CRP absolute values nor kinetics of CRP showed a better performance than delta PCT in predicting infection, in addition to that, WBC showed limited use of predicting infection in those patients. The clinical implication of the study is that perioperative PCT kinetics, interpreted with clinical results, appears to be a promising indicator for the diagnosis of infections after LRC. However, larger and multicenter prospective studies are required to identify the value of “PCT kinetics-guided approach.”
The authors thank the patients who participated in this study and the staff involved in this work.
. Clark PE, Agarwal N, Biagioli MC, et al. Bladder cancer. J Natl Compr Canc Netw 2013;11:446–75.
. Krajewski W, Zdrojowy R, Tupikowski K, et al. How to lower postoperative complications after radical cystectomy—a review. Cent European J Urol 2016;69:370–6.
. Huang Y, Pan X, Zhou Q, et al. Quality-of-life outcomes and unmet needs between ileal conduit and orthotopic ileal neobladder after radical cystectomy in a Chinese population: a 2-to-1 matched-pair analysis. BMC Urol 2015;15:117.
. Lawrentschuk N, Colombo R, Hakenberg OW, et al. Prevention and management of complications following radical cystectomy for bladder cancer. Eur Urol 2010;57:983–1001.
. Kim SP, Boorjian SA, Shah ND, et al. Contemporary trends of in-hospital complications and mortality for radical cystectomy. BJU Int 2012;110:1163–8.
. Konety BR, Allareddy V, Herr H. Complications after radical cystectomy: analysis of population-based data. Urology 2006;68:58–64.
. Kim SP, Shah ND, Karnes RJ, et al. The implications of hospital acquired adverse events on mortality, length of stay and costs for patients undergoing radical cystectomy for bladder cancer. J Urol 2012;187:2011–7.
. Nazmy M, Yuh B, Kawachi M, et al. Early and late complications of robot-assisted radical cystectomy: a standardized analysis by urinary diversion type. J Urol 2014;191:681–7.
. Albisinni S, Rassweiler J, Abbou CC, et al. Long-term analysis of oncological outcomes after laparoscopic radical cystectomy
in Europe: results from a multicentre study by the European Association of Urology (EAU) section of uro-technology. BJU Int 2015;115:937–45.
. Ritch CR, Cookson MS, Chang SS, et al. Impact of complications and hospital-free days on health related quality of life 1 year after radical cystectomy. J Urol 2014;192:1360–4.
. Wang SZ, Chen Y, Lin HY, et al. Comparison of surgical stress response to laparoscopic and open radical cystectomy. World J Urol 2010;28:451–5.
. Hiyama Y, Takahashi S, Uehara T, et al. Significance of anaerobic bacteria in postoperative infection after radical cystectomy and urinary diversion or reconstruction. J Infect Chemother 2013;19:867–70.
. Parker WP, Toussi A, Tollefson MK, et al. Risk factors and microbial distribution of urinary tract infections following radical cystectomy. Urology 2016;94:96–101.
. Gili-Ortiz E, Gonzalez-Guerrero R, Bejar-Prado L, et al. Surgical site infections in patients who undergo radical cystectomy: excess mortality, stay prolongation and hospital cost overruns [in Spanish]. Actas Urol Esp 2015;39:210–6.
. Kim KH, Yoon HS, Yoon H, et al. Febrile urinary tract infection after radical cystectomy and ileal neobladder in patients with bladder cancer. J Korean Med Sci 2016;31:1100–4.
. Wolters M, Oelke M, Lutze B, et al. Deep surgical site infections after open radical cystectomy and urinary diversion significantly increase hospitalisation time and total treatment costs. Urol Int 2016;98:268–73.
. Laupland KB, Davies HD, Church DL, et al. Bloodstream infection-associated sepsis and septic shock in critically ill adults: a population-based study. Infection 2004;32:59–64.
. Barbic J, Ivic D, Alkhamis T, et al. Kinetics of changes in serum concentrations of procalcitonin
, interleukin-6, and C-reactive protein
after elective abdominal surgery. Can it be used to detect postoperative complications? Coll Anthropol 2013;37:195–201.
. Kumar S, Mehta Y, Vats M, et al. An observational study to know the association of leukocytosis and fever with infection in post cardiac surgery patients. Indian Heart J 2007;59:316–22.
. Zhao D, Zhou J, Haraguchi G, et al. Procalcitonin
for the differential diagnosis of infectious and non-infectious systemic inflammatory response syndrome
after cardiac surgery. J Intensive Care 2014;2:35.
. Milcent K, Faesch S, Gras-Le Guen C, et al. Use of procalcitonin
assays to predict serious bacterial infection in young febrile infants. JAMA Pediatr 2016;170:62–9.
. Castelli GP, Pognani C, Cita M, et al. Procalcitonin
, C-reactive protein
, white blood cells and SOFA score in ICU: diagnosis and monitoring of sepsis. Minerva Anestesiol 2006;72:69–80.
. Perez SB, Rodriguez-Fanjul J, Garcia IJ, et al. Procalcitonin
is a better biomarker than C-reactive protein
in newborns undergoing cardiac surgery: the PROKINECA study. Biomarker Insights 2016;11:123–9.
. Garcia-Granero A, Frasson M, Flor-Lorente B, et al. Procalcitonin
and C-reactive protein
as early predictors of anastomotic leak in colorectal surgery: a prospective observational study. Dis Colon Rectum 2013;56:475–83.
. Dandona P, Nix D, Wilson MF, et al. Procalcitonin
increase after endotoxin injection in normal subjects. J Clin Endocrinol Metab 1994;79:1605–8.
. Rothenburger M, Markewitz A, Lenz T, et al. Detection of acute phase response and infection. The role of procalcitonin
and C-reactive protein
. Clin Chem Lab Med 1999;37:275–9.
. Mimoz O, Benoist JF, Edouard AR, et al. Procalcitonin
and C-reactive protein
during the early posttraumatic systemic inflammatory response syndrome
. Intensive Care Med 1998;24:185–8.
. Calandra T, Cohen J. The international sepsis forum consensus conference on definitions of infection in the intensive care unit. Crit Care Med 2005;33:1538–48.
. Fina E, Necchi A, Giannatempo P, et al. Clinical significance of early changes in circulating tumor cells from patients receiving first-line cisplatin-based chemotherapy for metastatic urothelial carcinoma. Bladder Cancer 2016;2:395–403.
. Zakaria AS, Santos F, Dragomir A, et al. Postoperative mortality and complications after radical cystectomy for bladder cancer in Quebec: a population-based analysis during the years 2000–2009. Can Urol Assoc J 2014;8:259–67.
. Verdonk F, Blet A, Mebazaa A. The new sepsis definition: limitations and contribution to research and diagnosis of sepsis. Curr Opin Anaesthesiol 2017;30:200–4.
. Mishnev OD, Grinberg LM, Zairat’yants OV. Actual problems of the pathology of sepsis: 25 years in search of a consensus. Arkhiv Patologii 2016;78:3–8.
. Mariansdatter SE, Eiset AH, Sogaard KK, et al. Differences in reported sepsis incidence according to study design: a literature review. BMC Med Res Methodol 2016;16:137.
. Carrol ED, Newland P, Riordan FA, et al. Procalcitonin
as a diagnostic marker of meningococcal disease in children presenting with fever and a rash. Arch Dis Child 2002;86:282–5.
. Lavallee LT, Schramm D, Witiuk K, et al. Peri-operative morbidity associated with radical cystectomy in a multicenter database of community and academic hospitals. PLoS One 2014;9:e111281.
. Hautmann RE, De Petriconi RC, Volkmer BG. Lessons learned from 1,000 neobladders: the 90-day complication rate. J Urol 2010;184:990–4.
. Dellinger RP, Levy MM, Rhodes A, et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock. Intensive Care Med 2013;39:165–228.
. Neunhoeffer F, Plinke S, Renk H, et al. Serum concentrations of interleukin-6, procalcitonin
, and C-reactive protein
: discrimination of septical complications and systemic inflammatory response syndrome
after pediatric surgery. Eur J Pediatr Surg 2016;26:180–5.
. Zheng J, Li Q, Fu W, et al. Procalcitonin
as an early diagnostic and monitoring tool in urosepsis following percutaneous nephrolithotomy. Urolithiasis 2015;43:41–7.
. Carsin H, Assicot M, Feger F, et al. Evolution and significance of circulating procalcitonin
levels compared with IL-6, TNF alpha and endotoxin levels early after thermal injury. Burns 1997;23:218–24.
. Nakamura A, Wada H, Ikejiri M, et al. Efficacy of procalcitonin
in the early diagnosis of bacterial infections in a critical care unit. Shock 2009;31:586–91.
. Uzzan B, Cohen R, Nicolas P, et al. Procalcitonin
as a diagnostic test for sepsis in critically ill adults and after surgery or trauma: a systematic review and meta-analysis. Crit Care Med 2006;34:1996–2003.
. Brewster N, Guthrie C, McBirnie J. CRP levels as a measure of surgical trauma: a comparison of different general surgical procedures. J R Coll Surg Edinb 1994;39:86–8.
. Meisner M, Tschaikowsky K, Hutzler A, et al. Postoperative plasma concentrations of procalcitonin
after different types of surgery. Intensive Care Med 1998;24:680–4.
. Saeed K, Dale AP, Leung E, et al. Procalcitonin
levels predict infectious complications and response to treatment in patients undergoing cytoreductive surgery for peritoneal malignancy. Eur J Surg Oncol 2016;42:234–43.
. Trasy D, Tanczos K, Nemeth M, et al. Early procalcitonin
kinetics and appropriateness of empirical antimicrobial therapy in critically ill patients: A prospective observational study. J Crit Care 2016;34:50–5.
. Tsangaris I, Plachouras D, Kavatha D, et al. Diagnostic and prognostic value of procalcitonin
among febrile critically ill patients with prolonged ICU stay. BMC Infect Dis 2009;9:213.
. Cousin VL, Lambert K, Trabelsi S, et al. Procalcitonin
for infections in the first week after pediatric liver transplantation. BMC Infect Dis 2017;17:149.
Keywords:Copyright © 2017 The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.
C-reactive protein; laparoscopic radical cystectomy; postoperative infections; procalcitonin; systemic inflammatory response syndrome