Procalcitonin levels predict infectious complications and response to treatment in patients undergoing cytoreductive surgery for peritoneal malignancy

Serum procalcitonin improves diagnosis of infectious complications after CRS/HIPEC

BACKGROUND

Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) improve the survival of selected patients with peritoneal metastasis. A major cause of treatment-related morbidity after CRS/HIPEC is infection and sepsis. HIPEC alters the diagnostic sensitivity and specificity of blood and serum markers and therefore has an impact on early diagnosis of postoperative complications. This study aimed to assess the sensitivity and specificity of blood and serum markers after CRS/HIPEC.

METHODS

Patients from two centers, operated between 2009 and 2017, were enrolled in this study. Perioperative blood samples were analyzed for white blood cells (WBC), C-reactive protein (CRP), and procalcitonin (PCT); postoperative complications were graded according to Clavien-Dindo and infectious complications according to CDC criteria.

RESULTS

Overall, n=248 patients were included with peritoneal metastasis from different primary tumors treated by CRS/HIPEC. Depending on the applied HIPEC protocol, patients presented a suppressed WBC response to infection. In addition, a secondary and unspecific CRP elevation in absence of an underlining infection, and pronounced after prolonged perfusion for more than 60 min. PCT was identified as a highly specific - although less sensitive - marker to diagnose infectious complications after CRS/HIPEC.

DISCUSSION/CONCLUSION

Sensitivity and specificity of WBC counts and CRP values to diagnose postoperative infection are limited in the context of HIPEC. PCT is helpful to specify suspected infection. Overall, diagnosis of postoperative complications remains a clinical diagnosis, requiring surgical expertise and experience.

Postoperative complications and critical care management after cytoreduction surgery and hyperthermic intraperitoneal chemotherapy: A systematic review of the literature

BACKGROUND

Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) is a comprehensive treatment option performed for peritoneal surface malignancies. Postoperatively almost all patients are transferred to the intensive care unit electively.

AIM

To describe the common and rare postoperative complications, postoperative mortality and their critical care management after CRS-HIPEC.

METHODS

The authors assessed 54 articles for eligibility. Full text assessment identified 14 original articles regarding postoperative complications and critical care management for inclusion into the final review article.

RESULTS

There is an exaggerated metabolic and inflammatory response after surgery which may be termed as physiological in view of the nature of surgery combined with the use of heated intraperitoneal chemotherapy with/out early postoperative intravenous chemotherapy. The expected postoperative course is further discussed. CRS-HIPEC is a complex procedure with some life-threatening complications in the immediate postoperative period, reported morbidity rates between 12%-60% and a mortality rate of 0.9%-5.8%. Over the years, since its inception in the 1980s, postoperative morbidity and survival have significantly improved. The commonest postoperative surgical complications and systemic toxicity due to chemotherapy as reported in the last decade are discussed.

CONCLUSION

CRS-HIPEC is associated with a varying rate of postoperative complications including postoperative deaths and needs early suspicion and intensive care monitoring.

Diagnostic accuracy of procalcitonin and interleukin-6 for postoperative infection in major gastrointestinal surgery: a systematic review and meta-analysis

BACKGROUND

We aim to assess the diagnostic accuracy of procalcitonin (PCT) and interleukin-6 (IL-6) as diagnostic biomarkers for postoperative infection/sepsis following major abdominal surgery. Postoperative infection is an important cause for morbidity and mortality in major surgery. Early diagnosis and antimicrobial treatment improves outcomes, and high-performing biomarkers could guide clinical decision making.

METHODS

A systematic database search was conducted for studies reporting diagnostic performance of biomarkers (including PCT and IL-6) for infection/sepsis following major abdominal surgery. Studies were assessed for reporting of diagnostic accuracy, relevance and quality. Data were extracted for meta-analysis.

RESULTS

Ten studies with 1,611 participants reported the diagnostic accuracy of PCT, with pooled sensitivity, specificity and summary receiver operator curve of 72% (95% CI 66-78), 62% (95% CI 59-64) and 0.766, respectively. Four studies with 175 participants reported the diagnostic accuracy of IL-6, with pooled sensitivity, specificity and summary receiver operator curve of 84% (95% CI 72-92), 76% (95% CI 68-84) and 0.878, respectively There was variability in the timing of sampling and cut-off values and significant heterogeneity and inconsistency between studies (I2 diagnostic odds ratio (DOR)= 43.2% for PCT, I2 DOR=0% for IL-6).

CONCLUSIONS

PCT performs only moderately well as a diagnostic test for postoperative infection/sepsis in major abdominal surgery, demonstrating limited sensitivity and specificity. Heterogeneity between studies is a limitation of the meta-analysis. There is an ongoing need for a rapid, accurate biomarker for postoperative infection or sepsis.

Biomarkers during COVID-19: Mechanisms of Change and Implications for Patient Outcomes

As the COVID-19 (Coronavirus disease 19) pandemic spreads worldwide, the massive numbers of COVID-19 patients have created a considerable healthcare burden for every country. The clinical spectrum of SARS-CoV-2 infection is broad, ranging from asymptomatic to mild, moderate, severe, and critical. Most COVID-19 patients present with no or mild symptoms, but nearly one-fifth of all patients develop severe or life-threatening complications. In addition to localized respiratory manifestations, severe COVID-19 cases also show extra-pulmonary complications or induce multiorgan failure. Identifying, triaging, and treating patients at risk early is essential and urgent. This article reviews the potential prognostic value of various biomarkers at different clinical spectrum stages of COVID-19 infection and includes information on fundamental prognostic mechanisms as well as potential clinical implications. Biomarkers are measurable biochemical substances used to recognize and indicate disease severity or response to therapeutic interventions. The information they provide is objective and suitable for delivering healthcare providers with a means of stratifying disease state in COVID-19 patients. This, in turn, can be used to help select and guide intervention efforts as well as gauge the efficacy of therapeutic approaches. Here, we review a number of potential biomarkers that may be used to guide treatment, monitor treatment efficacy, and form individualized therapeutic guidance based on patient response. Implementation of the COVID-19 biomarkers discussed here may lead to significantly improved quality of care and patient outcomes for those infected with SARS-CoV-2 worldwide.

Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection

BACKGROUND

The inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to predict the occurrence of nosocomial infections after abdominal surgery.

METHODS

The study included 146 patients with open abdominal surgery (a nosocomial infection group (NI group, n=42) and a no-nosocomial infection group (NNI group, n=104)). After 1:1 matching, the patients were divided into a matching nosocomial infection group (M-NI group, n=25) and a matching no-nosocomial infection group (M-NNI group, n=25). Serum levels of interleukin (IL)-6, IL-8, IL-10, IL-12, IL-18, macrophage migration inhibitory factor (MIF), and monocyte chemotactic protein (MCP-1) were tested at three time points (pre-operation, 0-hour post-operation (POD1) and 24-hour post-operation (POD2)). The area under the receiver operating characteristic curve (AUC-ROC) was used to test the predictive abilities.

RESULTS

There were significant differences in the levels of IL-6, IL-12, and IL-18 between the M-NI and M-NNI groups (p < 0.05), but not in the levels of other inflammatory factors. MIF, IL-8, and MCP-1 levels were higher in the M-NI group than in the M-NNI group at POD2 (p < 0.05). In the ROC analysis, the AUC for prediction of nosocomial infection using a combination of IL-6 and IL-18 at POD1 was 0.9616, while the AUCs for IL-6 alone and IL-12 alone were 0.8584 and 0.8256, respectively.

CONCLUSIONS

The combination of the levels of inflammatory factors, IL-6 and IL-18, at the 0-hour postoperative time point, significantly improved the predictive ability to the development of postoperative infection during perioperative period. Our study suggests the importance of monitoring postoperative inflammatory markers.

Machine Learning Algorithms are Superior to Conventional Regression Models in Predicting Risk Stratification of COVID-19 Patients

Background

It is very important to determine the risk of patients developing severe or critical COVID-19, but most of the existing risk prediction models are established using conventional regression models. We aim to use machine learning algorithms to develop predictive models and compare predictive performance with logistic regression models.

Methods

The medical record of 161 COVID-19 patients who were diagnosed January-April 2020 were retrospectively analyzed. The patients were divided into two groups: asymptomatic-moderate group (132 cases) and severe or above group (29 cases). The clinical features and laboratory biomarkers of these two groups were compared. Machine learning algorithms and multivariate logistic regression analysis were used to construct two COVID-19 risk stratification prediction models, and the area under the curve (AUC) was used to compare the predictive efficacy of these two models.

Results

A machine learning model was constructed based on seven characteristic variables: high sensitivity C-reactive protein (hs-CRP), procalcitonin (PCT), age, neutrophil count (Neuc), hemoglobin (HGB), percentage of neutrophils (Neur), and platelet distribution width (PDW). The AUC of the model was 0.978 (95% CI: 0.960-0.996), which was significantly higher than that of the logistic regression model (0.827; 95% CI: 0.724-0.930) (P=0.002). Moreover, the machine learning model's sensitivity, specificity, and accuracy were better than those of the logistic regression model.

Conclusion

Machine learning algorithms improve the accuracy of risk stratification in patients with COVID-19. Using detection algorithms derived from these techniques can enhance the identification of critically ill patients.

THE ROLE OF MARKERS OF SYSTEMIC INFLAMMATORY RESPONSE IN THE POSTOPERATIVE PERIOD. REVIEW

Despite all the achievements of modern surgery, the number of postoperative infectious complications in the world remains high. Their occurrence leads to a longer period of patients’ hospitalization, requires the use of additional medical and diagnostic measures, which ultimately leads to higher treatment costs and significant financial losses in the health care system. Therefore, it is important to identify postoperative complications at an early stage, even before the development of pronounced clinical symptoms, and to predict their possible development in a certain category of patients. For these purposes, scientists try to use various laboratory markers. In this paper, we analyzed both well-known indicators of the inflammatory response, such as: C-reactive protein, albumin, their ratio, procalcitonin and interleukin-6, and relatively new parameters that research teams are trying to apply for these purposes: neutrophil granularity intensity and neutrophil reactivity intensity, pancreatic stone protein and pancreatitis-associated protein. We tried to collect the most complete information available at the moment, evaluate the opinions of researchers, identify contradictions in their works and try to explain their cause. As a result, it turned out that even the markers of inflammation known for many years are not absolutely specific for postoperative infectious complications. We concluded that most of the laboratory parameters described in this article can be used to some extent in the early diagnosis of postoperative infectious complications, but if we want to obtain more complete information in this area of knowledge, it is necessary to conduct new largescale studies.

Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19

BACKGROUND

The inflammatory response plays a critical role in coronavirus disease 2019 (COVID-19), and inflammatory cytokine storm increases the severity of COVID-19.

OBJECTIVE

To investigate the ability of interleukin-6 (IL-6), C-reactive protein (CRP), and procalcitonin (PCT) to predict mild and severe cases of COVID-19.

STUDY DESIGN

This retrospective cohort study included 140 patients diagnosed with COVID-19 from January 18, 2020, to March 12, 2020. The study population was divided into two groups according to disease severity: a mild group (MG) (n = 107) and a severe group (SG) (n = 33). Data on demographic characteristics, baseline clinical characteristics, and the levels of IL-6, CRP, and PCT on admission were collected.

RESULTS

Among the 140 patients, the levels of IL-6, CRP, and PCT increased in 95 (67.9 %), 91 (65.0 %), and 8 (5.7 %) patients on admission, respectively. The proportion of patients with increased IL-6, CRP, and PCT levels was significantly higher in the SG than in the MG. Cox proportional hazard model showed that IL-6 and CRP could be used as independent factors to predict the severity of COVID-19. Furthermore, patients with IL-6 > 32.1 pg/mL or CRP > 41.8 mg/L were more likely to have severe complications.

CONCLUSION

The serum levels of IL-6 and CRP can effectively assess disease severity and predict outcome in patients with COVID-19.

Systemic inflammatory markers for the detection of infectious complications and safe discharge after cytoreductive surgery and HIPEC

INTRODUCTION

Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS + HIPEC) in patients with ovarian peritoneal carcinomatosis may be associated with a high postoperative morbidity. An early discrimination of postoperative complications is crucial for both improving clinical outcomes and proposing a safe discharge.

MATERIAL AND METHODS

In a cohort of 122 patients with advanced ovarian cancer (FIGO III-IV), we analyzed the diagnostic performance of three systemic inflammatory markers (C-reactive protein, white blood cell count and systemic immune-inflammation index) between the 5th to 8th postoperative days to prediction postoperative infectious complications. An optimal cut-off value was established in order to discriminate between the group of patients who developed infectious complications or not during the postoperative period.

RESULTS

The median peritoneal carcinomatosis index (PCI) was 15. The overall infectious morbidity was 25.4% (31 patients out of 122), of which, 32% (10 patients out of 31) had suffered severe postoperative complications (Dindo-Clavien III-IV). The most accurate results for detecting infectious complications were obtained by using C-reactive protein, which presented an excellent diagnostic performance, especially on the 7th and 8th postoperative days (AUC = 0,857 and 0,920; respectively).

CONCLUSIONS

These results support that it is safe to discharge patients with C-reactive protein concentrations lower than 88 mg/L and 130 mg/L, on the 7th and 8th postoperative days, respectively.

Biomarkers for Evaluating the Inflammation Status in Patients with Cancer

Inflammation can be a causative factor for carcinogenesis or can result from a consequence of cancer progression. Moreover, cancer therapeutic interventions can also induce an inflammatory response. Various inflammatory parameters are used to assess the inflammatory status during cancer treatment. It is important to select the most optimal biomarker among these parameters. Additionally, suitable biomarkers must be examined if there are no known parameters. We briefly reviewed the published literature for the use of inflammatory parameters in the treatment of patients with cancer. Most studies on inflammation evaluated the correlation between host characteristics, effect of interventions, and clinical outcomes. Additionally, the levels of C-reactive protein, albumin, lymphocytes, and platelets were the most commonly used laboratory parameters, either independently or in combination with other laboratory parameters and clinical characteristics. Furthermore, the immune parameters are classically examined using flow cytometry, immunohistochemical staining, and enzyme-linked immunosorbent assay techniques. However, gene expression profiling can aid in assessing the overall peri-interventional immune status. The checklists of guidelines, such as STAndards for Reporting of Diagnostic accuracy and REporting recommendations for tumor MARKer prognostic studies should be considered when designing studies to investigate the inflammatory parameters. Finally, the data should be interpreted after adjusting for clinically important variables, such as age and cancer stage.

A single preoperative blood test predicts postoperative sepsis and pneumonia after coronary bypass or open aneurysm surgery

BACKGROUND

Major surgery comes with a high risk for postoperative inflammatory complications. Preoperative risk scores predict mortality risk but fail to identify patients at risk for complications following cardiovascular surgery. We therefore assessed the value of preoperative red cell distribution width (RDW) as a predictor for pneumonia and sepsis after cardiovascular surgery and studied the relation of RDW with hematopoietic tissue activity.

METHODS

RDW is an easily accessible, yet seldomly used parameter from routine haematology measurements. RDW was extracted from the Utrecht Patient Orientated Database (UPOD) for preoperative measurements in patients undergoing open abdominal aortic anuerysm repair (AAA)(N = 136) or coronary artery bypass grafting (CABG)(N = 2193). The cohorts were stratified in tertiles to assess effects over the different groups. Generalized Linear Models were used to determine associations between RDW and postoperative inflammatory complications. Hematopoietic tissue activity was scored using fluor-18-(18F)-deoxyglucose positron emission tomography and associated with RDW using linear regression models.

RESULTS

In total, 43(31.6%) and 73 patients (3.3%) suffered from inflammatory complications after AAA-repair or CABG, respectively; the majority being pneumonia in both cohorts. Postoperative inflammatory outcome incidence increased from 19.6% in the lowest to 48.9% in the highest RDW tertile with a corresponding risk ratio (RR) of 2.35 ([95%CI:1.08-5.14] P = 0.032) in AAA patients. In the CABG cohort, the incidence of postoperative inflammatory outcomes increased from 1.8% to 5.3% with an adjusted RR of 1.95 ([95%CI:1.02-3.75] P = 0.044) for the highest RDW tertile compared with the lowest RDW tertile. FDG-PET scans showed associations of RDW with tissue activity in the spleen (B = 0.517 [P = 0.001]) and the lumbar bone marrow (B = 0.480 [P = 0.004]).

CONCLUSION

Elevated RDW associates with increased risk for postoperative inflammatory complications and hematopoietic tissue activity. RDW likely reflects chronic low-grade inflammation and should be considered to identify patients at risk for postoperative inflammatory complications following cardiovascular surgery.

Procalcitonin-guided antibiotic therapy: an expert consensus

Background:

Procalcitonin (PCT) is a useful biomarker of bacterial infection and its use is associated to reduced duration of antibiotic therapy in the setting of intensive care medicine. To address the need of practical guidance for the use of PCT in various clinical settings, a group of experts was invited to participate at a consensus process with the aims of defining the rationale for appropriate use of PCT and for improving the management of critically ill patients with sepsis.

Methods:

A group of 14 experts from anesthesiology and critical care, infectious diseases, internal medicine, pulmonology, clinical microbiology, laboratory medicine, clinical pharmacology and methodology provided expert opinion through a modified Delphi process, after a comprehensive literature review.

Results:

The appropriateness of use of PCT in terms of diagnosis, prognosis and antimicrobial stewardship was assessed for different scenarios or settings such us management of infection in the emergency department, regular wards, surgical wards or in the intensive care unit. Similarly, appropriateness and timing of PCT measurement were evaluated. All the process consisted in three Delphi rounds.

Conclusions:

PCT use is appropriate in algorithms for antibiotic de-escalation and discontinuation. In this case, reproducible, high sensitive assays should be used. However, initiation or escalation of antibiotic therapy in specific scenarios, including acute respiratory infections, should not be based solely on PCT serum levels. Clinical and radiological findings, evaluation of severity of illness and of patient’s characteristics should be taken into proper account in order to correctly interpret PCT results.

Value of evaluating procalcitonin kinetics in diagnosis of infections in patients undergoing laparoscopic radical cystectomy

Postsurgery infection is a common complication after laparoscopic radical cystectomy (LRC) followed by urinary diversion. White blood cell (WBC) values and C-reactive protein (CRP) are routinely used as markers for infection, but lack of specificity and their elevation is often delayed in clinically significant events. In this study, we aimed to investigate the value of procalcitonin (PCT) kinetics in assisting early diagnosis of infection in patients undergoing LRC.The patients' medical records between May 2013 and May 2016 were reviewed retrospectively. WBC, CRP, and PCT plasma levels as well as clinical symptoms were registered in 306 patients preoperatively (day 0), and 5 consecutive days postoperatively. Based on microbiological and clinical data, patients were grouped into noninfection- (NI-) and infection- (I-) groups. The day of new onset infection was observed were defined as day t0 and the day after that as day t1. 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.Of the 306 patients, 46 (15.03%) have proven infection. PCT levels were analogous at day t0:NI-group [median (interquartile range)]: 0.69(1.99) vs I-group [median (interquartile range)]: 1.0[0.75], P = .1. PCT levels were significantly increased at day t1 in the I-group[median (interquartile range)]:2.9(1.3) vs NI-group[median (interquartile range)]: 1.3(1.5), P < .01. The area under the curve for the prediction of infection was 0.72 [95% confidence interval (CI) = 0.63-0.81] for the absolute value of PCT; and for delta PCT:0.88 (95% CI = 0.81-0.94), P < .01. The optimal cut-off value was 0.79 ng/mL with the highest Youden index of 0.80 for delta-PCT to indicate infection. Neither absolute values nor changes in CRP, or WBC could predict infection better. The "delta" was considered as the changes in the absolute values (subtracting day t0 from day t1) of PCT, CRP, and WBC.This study suggest that early elevation of PCT within the first 24 hours of new onset infection, interpreted with clinical results, appears to be a promising indicator for the diagnosis of infections following LRC.