Systemic inflammatory response syndrome in the trauma intensive care unit: who is infected?

Impact of withholding early antibiotic therapy in nonseptic surgical patients with suspected nosocomial infection: a retrospective cohort analysis

BACKGROUND

Systemic inflammatory responses mimicking infectious complications are often present in surgical patients.

METHODS

The objective was to assess the association between withholding early antimicrobial therapy while investigating alternative diagnoses and worse outcomes in nonseptic patients with suspected nosocomial infection in a retrospective cohort of critically ill surgical patients. The initiation of antibiotic therapy within 24 h of the suspicion of infection was defined as the Early Empirical Antibiotic strategy (EEA) group and the initiation after 24 h of suspicion or not prescribed was defined as the Conservative Antibiotic strategy (CA) group. Primary outcome was composite: death, sepsis, or septic shock within 14 days. Main exclusion criteria were sepsis or an evident source of infection at inclusion.

RESULTS

Three hundred and forty patients were eligible for inclusion (74% trauma patients). Age, sex, reason for hospital admission, SAPS3 score, SOFA score, and use of vasopressors or mechanical ventilation were not different between the groups. Within 14 days of inclusion, 100% (130/130) of EEA patients received antibiotics compared to 57% (120/210) of CA patients. After adjusting for confounding variables, there was no association between primary outcome and the groups. In a post hoc subgroup analysis including only patients with a posteriori confirmed infection (by microbiological cultures), delay in initiation of adequate antimicrobial therapy was independently associated with the primary outcome (Odds Ratio = 1.19 per day of delay; 95% CI 1.05-1.37).

CONCLUSIONS

Withholding early empiric antibiotic therapy was not associated with progression of organ dysfunction within 14 days in nonseptic surgical patients with suspected nosocomial infection without an obvious source.

Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review

The pathophysiology of sepsis alters drug pharmacokinetics, resulting in inadequate drug exposure and target-site concentration. Suboptimal exposure leads to treatment failure and the development of antimicrobial resistance. Therefore, we seek to optimize antimicrobial therapy in sepsis by selecting the right drug and the correct dosage. A prerequisite for achieving this goal is characterization and understanding of the mechanisms of pharmacokinetic alterations. However, most infections take place not in blood but in different body compartments. Since tissue pharmacokinetic assessment is not feasible in daily practice, we need to tailor antibiotic treatment according to the specific patient’s pathophysiological processes. The complex pathophysiology of sepsis and the ineffectiveness of current targeted therapies suggest that treatments guided by biomarkers predicting target-site concentration could provide a new therapeutic strategy. Inflammation, endothelial and coagulation activation markers, and blood flow parameters might be indicators of impaired tissue distribution. Moreover, hepatic and renal dysfunction biomarkers can predict not only drug metabolism and clearance but also drug distribution. Identification of the right biomarkers can direct drug dosing and provide timely feedback on its effectiveness. Therefore, this might decrease antibiotic resistance and the mortality of critically ill patients. This article fills the literature gap by characterizing patient biomarkers that might be used to predict unbound plasma-to-tissue drug distribution in critically ill patients. Although all biomarkers must be clinically evaluated with the ultimate goal of combining them in a clinically feasible scoring system, we support the concept that the appropriate biomarkers could be used to direct targeted antibiotic dosing.

A Tangled Threesome: Circadian Rhythm, Body Temperature Variations, and the Immune System

Simple Summary

In mammals, including humans, the body temperature displays a circadian rhythm and is maintained within a narrow range to facilitate the optimal functioning of physiological processes. Body temperature increases during the daytime and decreases during the nighttime thus influencing the expression of the molecular clock and the clock-control genes such as immune genes. An increase in body temperature (daytime, or fever) also prepares the organism to fight aggression by promoting the activation, function, and delivery of immune cells. Many factors may affect body temperature level and rhythm, including environment, age, hormones, or treatment. The disruption of the body temperature is associated with many kinds of diseases and their severity, thus supporting the assumed association between body temperature rhythm and immune functions. Recent studies using complex analysis suggest that circadian rhythm may change in all aspects (level, period, amplitude) and may be predictive of good or poor outcomes. The monitoring of body temperature is an easy tool to predict outcomes and maybe guide future studies in chronotherapy.

Abstract

The circadian rhythm of the body temperature (CRBT) is a marker of the central biological clock that results from multiple complex biological processes. In mammals, including humans, the body temperature displays a strict circadian rhythm and has to be maintained within a narrow range to allow optimal physiological functions. There is nowadays growing evidence on the role of the temperature circadian rhythm on the expression of the molecular clock. The CRBT likely participates in the phase coordination of circadian timekeepers in peripheral tissues, thus guaranteeing the proper functioning of the immune system. The disruption of the CRBT, such as fever, has been repeatedly described in diseases and likely reflects a physiological process to activate the molecular clock and trigger the immune response. On the other hand, temperature circadian disruption has also been described as associated with disease severity and thus may mirror or contribute to immune dysfunction. The present review aims to characterize the potential implication of the temperature circadian rhythm on the immune response, from molecular pathways to diseases. The origin of CRBT and physiological changes in body temperature will be mentioned. We further review the immune biological effects of temperature rhythmicity in hosts, vectors, and pathogens. Finally, we discuss the relationship between circadian disruption of the body temperature and diseases and highlight the emerging evidence that CRBT monitoring would be an easy tool to predict outcomes and guide future studies in chronotherapy.

Biomarkers for diagnosis of sepsis in patients with systemic inflammatory response syndrome: a systematic review and meta-analysis

Background

Sepsis is one of the most common diseases that seriously threaten human health. Although a large number of markers related to sepsis have been reported in the last two decades, the diagnostic accuracy of these biomarkers remains unclear due to the lack of similar baselines among studies. Therefore, we conducted a large systematic review and meta-analysis to evaluate the diagnostic value of biomarkers from studies that included non-infectious systemic inflammatory response syndrome patients as a control group.

Methods

We searched Medline, Embase and the reference lists of identified studies beginning in April 2014. The last retrieval was updated in September 2016.

Results

Ultimately, 86 articles fulfilled the inclusion criteria. Sixty biomarkers and 10,438 subjects entered the final analysis. The areas under the receiver operating characteristic curves for the 7 most common biomarkers, including procalcitonin, C-reactive protein, interleukin 6, soluble triggering receptor expressed on myeloid cells-1, presepsin, lipopolysaccharide binding protein and CD64, were 0.85, 0.77, 0.79, 0.85, 0.88, 0.71 and 0.96, respectively. The remaining 53 biomarkers exhibited obvious variances in diagnostic value and methodological quality.

Conclusions

Although some biomarkers displayed moderate or above moderate diagnostic value for sepsis, the limitations of the methodological quality and sample size may weaken these findings. Currently, we still lack an ideal biomarker to aid in the diagnosis of sepsis. In the future, biomarkers with better diagnostic value as well as a combined diagnosis using multiple biomarkers are expected to solve the challenge of the diagnosis of sepsis.

Electronic supplementary material

The online version of this article (doi:10.1186/s40064-016-3591-5) contains supplementary material, which is available to authorized users.

The systemic inflammatory response syndrome

The systemic inflammatory response syndrome (SIRS) describes the clinical presentation of patients with systemic activation of the inflammatory response from any underlying cause. SIRS is a common problem in acute medical and surgical practice and an important cause of morbidity and mortality. As a consequence of SIRS, patients may develop multiple organ dysfunction syndrome and acute respiratory distress syndrome (ARDS). Over the recent years our understanding of the inflammatory response in SIRS has increased, but as yet specific immunomodulatory therapies have not proved useful. The mainstay of treatment for patients with SIRS and ARDS remains a general supportive care. It is in this area that more encouraging advances are being made, particularly in the management of invasive ventilation and nutrition. In this review we summarize the definitions, epidemiology and pathophysiology of SIRS, ARDS and related conditions. We then give a description of the clinical consequences and treatment of SIRS and ARDS with an emphasis on current aspects of supportive care.

Association of Temperature and Humidity with Trauma Deaths

Background:

Few studies worldwide have shown that climate factors such as temperature and humidity may contribute to injuries and sudden death. However, to the best of our knowledge no studies have been conducted on climate and traumatic deaths in Iran.

Objectives:

The aim of this study was to investigate the relationship between temperature and humidity and trauma deaths in Kerman, Iran.

Materials and Materials:

In this study, data of all trauma deaths from March 2006 to February 2011 were collected from the Kerman Health Ministry and categorized by causes. Trauma deaths were extracted and matched with data regarding temperature and humidity obtained from the Kerman Meteorology Office during the same time period. Negative binomial regression and Spearman correlation analysis were used to analyze the data using STATA10 and MiniTab16.

Results:

The findings of this study showed that the overall mortality caused by trauma is higher in the warm season. The highest correlation between mortality and temperature was seen in ages over 60 years (r = 0.301, P = 0.020) in trauma deaths and was statistically significant. An inverse significant correlation was observed between the incidence of trauma deaths and humidity and was highest in the over 60-year age group (r = -0.336, P = 0.009). The regression results also revealed an inverse significant relationship between humidity and trauma deaths in the over 60-year age group.

Conclusions:

High temperatures and low humidity increased the risk of trauma deaths in our study. However, more studies are needed to document this.

Searching for predictors of surgical complications in critically ill surgery patients in the intensive care unit: a review

We reviewed the use of the levels of C-reactive protein, lactate and procalcitonin and/or the Sequential Organ Failure Assessment score to determine their diagnostic accuracy for predicting surgical complications in critically ill general post-surgery patients. Included were all studies published in PubMed from inception to July 2013 that met the following inclusion criteria: evaluation of the above parameters, describing their diagnostic accuracy and the risk stratification for surgical complications in surgical patients admitted to an intensive care unit. No difference in the Sequential Organ Failure Assessment scores was seen between patients with or without complications. The D-lactate levels were significantly higher in those who developed colonic ischemic complications after a ruptured abdominal aortic aneurysm. After gastro-intestinal surgery, contradictory data were reported, with both positive and negative use of C-reactive protein and procalcitonin in the diagnosis of septic complications. However, in trauma patients, the C-reactive protein levels may help to discriminate between those with and without infectious causes. We conclude that the Sequential Organ Failure Assessment score, lactate concentration and C-reactive protein level have no significant predictive value for early postoperative complications in critically ill post-surgery patients. However, procalcitonin seems to be a useful parameter for diagnosing complications in specific patient populations after surgery and/or after trauma.

Sepsis in head and neck cancer patients treated with chemotherapy and radiation: Literature review and consensus

The reporting of infection/sepsis in chemo/radiation-treated head and neck cancer patients is sparse and the problem is underestimated. A multidisciplinary group of head and neck cancer specialists from Italy met with the aim of reaching a consensus on a clinical definition and management of infections and sepsis. The Delphi appropriateness method was used for this consensus. External expert reviewers then evaluated the conclusions carefully according to their area of expertise. The paper contains seven clusters of statements about the clinical definition and management of infections and sepsis in head and neck cancer patients, which had a consensus. Furthermore, it offers a review of recent literature in these topics.

Predictive ability of the ISS, NISS, and APACHE II score for SIRS and sepsis in polytrauma patients

PURPOSE

Systemic inflammatory response syndrome (SIRS) and sepsis as causes of multiple organ dysfunction syndrome (MODS) remain challenging to treat in polytrauma patients. In this study, the focus was set on widely used scoring systems to assess their diagnostic quality.

METHODS

A total of 512 patients (mean age: 39.2 ± 16.2, range: 16-88 years) who had an Injury Severity Score (ISS) ≥17 were included in this retrospective study. The patients were subdivided into four groups: no SIRS, slight SIRS, severe SIRS, and sepsis. The ISS, New Injury Severity Score (NISS), Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, and prothrombin time were collected at admission. The Kruskal-Wallis test and χ(2)-test, multinomial regression analysis, and kernel density estimates were performed. Receiver operating characteristic (ROC) analysis is reported as the area under the curve (AUC). Data were considered as significant if p < 0.05.

RESULTS

All variables were significantly different in all groups (p < 0.001). The odds ratio increased with increasing SIRS severity for NISS (slight vs. no SIRS, 1.06, p = 0.07; severe vs. no SIRS, 1.07, p = 0.04; and sepsis vs. no SIRS, 1.11, p = 0.0028) and APACHE II score (slight vs. no SIRS, 0.97, p = 0.44; severe vs. no SIRS, 1.08, p = 0.02; and sepsis vs. no SIRS, 1.12, p = 0.0028). ROC analysis revealed that the NISS (slight vs. no SIRS, AUC 0.61; severe vs. no SIRS, AUC 0.67; and sepsis vs. no SIRS, AUC 0.77) and APACHE II score (slight vs. no SIRS, AUC 0.60; severe vs. no SIRS, AUC 0.74; and sepsis vs. no SIRS, AUC 0.82) had the best predictive ability for SIRS and sepsis.

CONCLUSION

Quick assessment with the NISS or APACHE II score could preselect possible candidates for sepsis following polytrauma and provide guidance in trauma surgeons' decision-making.

Ventilator-Associated Pneumonia: Depends on Your Definition

Reduction of hospital-acquired infections is a patient safety goal and regularly monitored by Performance Improvement committees. There is discordance between the ventilator-associated pneumonia (VAP) rate reported by the Infection Control Committee (ICC) and that observed by our Trauma Service. To investigate this difference, a retrospective evaluation of cases of VAP diagnosed on a single service was undertaken. A prospectively collected database was queried for VAP in intensive care unit patients between January 2010 and June 2011. This was compared with the list of mechanically ventilated patients provided by the ICC. Comparison for criteria used to diagnose pneumonia, ventilator day of the diagnosis, was recorded. The ICC identified two VAPs from 136 potential patients compared with the Trauma Service identifying 36 VAPs. A difference in diagnostic criteria between the ICC and the Trauma Service focused on use of the National Nosocomial Infection Survey (NNIS) algorithm versus quantitative microbiology from bronchoalveolar lavage specimens. Thirty-five of 36 Trauma Service VAPs were not identified as VAPs by the NNIS algorithm as a result of the chest radiographs. Application of differing definitions of VAP results in markedly different VAP rates. The difference has significant implications as infection rates are increasingly reported as a quality metric.

Enhancing the fever workup utilizing a multi-technique modeling approach to diagnose infections more accurately

BACKGROUND

Differentiation between infectious and non-infectious etiologies of the systemic inflammatory response syndrome (SIRS) in trauma patients remains elusive. We hypothesized that mathematical modeling in combination with computerized clinical decision support would assist with this differentiation. The purpose of this study was to determine the capability of various mathematical modeling techniques to predict infectious complications in critically ill trauma patients and compare the performance of these models with a standard fever workup practice (identifying infections on the basis of fever or leukocytosis).

METHODS

An 18-mo retrospective database was created using information collected daily from critically ill trauma patients admitted to an academic surgical and trauma intensive care unit. Two hundred forty-three non-infected patient-days were chosen randomly to combine with the 243 infected-days, which created a modeling sample of 486 patient-days. Utilizing ten variables known to be associated with infectious complications, decision trees, neural networks, and logistic regression analysis models were created to predict the presence of urinary tract infections (UTIs), bacteremia, and respiratory tract infections (RTIs). The data sample was split into a 70% training set and a 30% testing set. Models were compared by calculating sensitivity, specificity, positive predictive value, negative predictive value, overall accuracy, and discrimination.

RESULTS

Decision trees had the best modeling performance, with a sensitivity of 83%, an accuracy of 82%, and a discrimination of 0.91 for identifying infections. Both neural networks and decision trees outperformed logistic regression analysis. A second analysis was performed utilizing the same 243 infected days and only those non-infected patient-days associated with negative microbiologic cultures (n = 236). Decision trees again had the best modeling performance for infection identification, with a sensitivity of 79%, an accuracy of 83%, and a discrimination of 0.87.

CONCLUSION

The use of mathematical modeling techniques beyond logistic regression can improve the robustness and accuracy of predicting infections in critically ill trauma patients. Decision tree analysis appears to have the best potential to use in assisting physicians in differentiating infectious from non-infectious SIRS.

Errors in Administrative-Reported Ventilator-Associated Pneumonia Rates: Are Never Events Really So?

Ventilator-associated pneumonia (VAP) is a common problem in an intensive care unit (ICU), although the incidence is not well established. This study aims to compare the VAP incidence as determined by the treating surgical intensivist with that detected by the hospital Infection Control Service (ICS). Trauma and surgical patients admitted to the surgical critical care service were prospectively evaluated for VAP during a 5-month time period. Collected data included the surgical intensivist's clinical VAP (SIS-VAP) assessment using Centers for Disease Control and Prevention (CDC) VAP criteria. As part of the hospital's VAP surveillance program, these patients’ medical records were also reviewed by the ICS for VAP (ICS-VAP) using the same CDC VAP criteria. All patients suspected of having VAP underwent bronchioalveolar lavage (BAL). The SIS-VAP and ICS-VAP were then compared with BAL-VAP. Three hundred twenty-nine patients were admitted to the ICU during the study period. One hundred thirty-three were intubated longer than 48 hours and comprised our study population. Sixty-two patients underwent BAL evaluation for the presence of VAP on 89 occasions. SIS-VAP was diagnosed in 38 (28.5%) patients. ICS-VAP was identified in 11 (8.3%) patients ( P < 0.001). The incidence of VAP by BAL criteria was 23.3 per cent. When compared with BAL, SIS-VAP had 61.3 per cent sensitivity and ICS-VAP had 29 per cent sensitivity. VAP rates reported by hospital administrative sources are significantly less accurate than physician-reported rates and dramatically underestimate the incidence of VAP. Proclaiming VAP as a never event for critically ill for surgical and trauma patients appears to be a fallacy.

Factors associated with positive blood cultures in outpatients with suspected bacteremia

Blood cultures are routinely taken in outpatients with fever and suspected bacterial infections. However, in the majority of cases, they are not informative and of limited value for clinical decision making. The aim of this study was therefore to investigate factors associated with positive blood cultures in outpatients presenting to an outpatient clinic and emergency room. This was a case-control study of all outpatients with positive blood cultures from January 1, 2006 to October 31, 2007 and matched control patients with negative blood cultures in the same time period. Microbiology results and medical charts were reviewed to determine factors associated with positive blood cultures. The presence of a systemic inflammation response syndrome (SIRS) (OR 2.7, 95% Cl 1.0-7.2) and increased C-reactive protein (CRP) (OR 1.1 per 10 mg/l, 95% Cl 1.0-1.2) were the most powerful predictive values for the development of positive blood cultures. In positive cases serum albumin was lower (35 mg/l versus 39 mg/l) than in controls. SIRS, increasing CRP and low albumin were associated with positive blood cultures in outpatients. With simple clinical assessment and few laboratory tests indicative of infection, it is possible to define a group at higher risk for bacteremia in outpatients.

Systemic inflammatory response syndrome score at admission predicts injury severity, organ damage and serum neutrophil elastase production in trauma patients

BACKGROUND

Systemic inflammatory response syndrome (SIRS) is a clinical condition representing the culmination of the activation of a complex network of acute endogenous mediators.

MATERIALS AND METHODS

We investigated both the relationship between the results of SIRS assessments in 212 trauma patients at the time of hospital arrival and measures of trauma severity determined using the Injury Severity Score (ISS) and the Revised Trauma Score (RTS). We then considered the possibility of whether this assessment could be used to predict the development of organ dysfunction as a complication in trauma patients after admission. The serum neutrophil elastase (SNE) level was also measured in 47 cases.

RESULTS

The cases with SIRS had a significantly higher ISS and a lower RTS. Organ dysfunction occurred in 22 cases, and a significant correlation was noted between the development of organ dysfunction and the presence of SIRS (86.4%; 19 cases/22 cases, p=0.0007) at the time of arrival. The SNE level was significantly higher among the patients who fulfilled the four SIRS criteria than among the other patients (p=0.0301).

CONCLUSION

We concluded that the greater the SIRS score at the time of hospital arrival, the greater the anatomical and physiological severity of the trauma patient's condition.

Fever in trauma patients: friend or foe?

BACKGROUND

In trauma patients, elevated body temperature is a common and noninfective procedure soon after injury. We hypothesized that the absence of this febrile response is associated with failure to meet metabolic demands and results in adverse outcomes.

METHODS

We collected retrospective data of 253 consecutive trauma patients admitted to the intensive care unit during a 3-year period. Patients were stratified according to their daily maximum body temperature from days 1 to 10 (Tmax 1-10): no fever (<37.5 degrees C), low fever (37.5-38.4 degrees C), moderate fever (38.5-39.0 degrees C), and high fever (>39.0 degrees C). The area under the curve (AUC) of core temperature during the first 24 hours after admission was calculated for each patient at a baseline of 36 degrees C. The infection and mortality rates were measured.

RESULTS

Sixty-three patients (24.9%) developed an infection, and the overall mortality was 7.5% (19 patients). Patients with no Tmax 1 and a low or high Tmax 4 to 10 had a significantly high infection rate; those with no fever on days 1 and 2 had a significantly high mortality rate. A low AUC was also associated with significantly higher infection and mortality rates. Multiple logistic regression analysis controlled for age, injury severity score, Tmax 1, AUC, initial temperature at admission, and time taken to reach 36 degrees C (if hypothermia was present) revealed that age, injury severity score, low AUC (odds ratio, 0.96; 95% confidence interval, 0.94-0.99; p = 0.002), and initial temperature were independent predictors of infection. Age and lower AUC (odds ratio, 0.87; 95% confidence interval, 0.81-0.92; p < 0.001) were both predictors of mortality.

CONCLUSIONS

A febrile response until day 4 after injury did not increase morbidity, and a low AUC is independently associated with adverse outcomes. These findings show that a nonfebrile response soon after injury results in poor prognosis.

Fever and Leukocytosis in Critically Ill Trauma Patients: It is Not the Blood

The diagnosis of bacteremia in critically ill patients is classically based on fever and/or leukocytosis. The objectives of this study were to determine 1) if our intensive care unit obtains blood cultures based on fever and/or leukocytosis over the initial 14 days of hospitalization after trauma; and 2) the efficacy of this diagnostic workup. An 18-month retrospective cohort analysis was performed on consecutively admitted trauma patients. Data collected included demographics, injuries, and the first 14 days maximal daily temperature, leukocyte count, and results of blood and catheter tip cultures. Fever was defined as a maximum daily temperature of 38.5°C or greater and leukocytosis as a leukocyte count 12,000/mm3 or greater of blood. Five hundred ten patients were evaluated for a total of 3,839 patient-days. The mean age and injury severity score were 49 ± 1 years and 19 ± 1, respectively. Four hundred twenty-five blood culture episodes were obtained and 25 (6%) bacteremias were identified in 23 patients (5%). A significant association was found between obtaining blood cultures in patients with fever (relative risk [RR], 7.7), leukocytosis (RR, 1.3), and fever + leukocytosis (RR, 3.2). However, no significant association was found between these clinical signs and the diagnosis of bacteremia. In fact, fever alone was inversely associated with bacteremia. Our intensive care unit follows the common “fever workup” practice and obtains blood cultures based on the presence of fever and leukocytosis. However, fever and leukocytosis were not associated with bacteremia, suggesting inefficiency and that other factors are more important after trauma.

Effect of 35 degrees C hypothermia on intracranial pressure and clinical outcome in patients with severe traumatic brain injury

BACKGROUND

From 1994, we have used therapeutic hypothermia in patients with severe traumatic brain injury (Glasgow Coma Scale scores of 5 or less). In 2000, we altered the target temperature to 35 degrees C from the former 33 degrees C, as our findings suggested that cooling to 35 degrees C is sufficient to control intracranial hypertension, and that hypothermia below 35 degrees C may predispose patients to persistent cumulative oxygen debt. We attempted to clarify whether 35 degrees C hypothermia has the same effect as 33 degrees C hypothermia in reducing intracranial hypertension and whether it is associated with fewer complications and improved outcomes.

METHODS

We compared intracranial pressure (ICP) and biochemical parameters in the 30 patients treated with 35 degrees C hypothermia (January 2000 to June 2005) with those in the 31 patients treated with 33 degrees C hypothermia (July 1994 to December 1999).

RESULTS

Patient characteristics were similar in the two groups. The mean temperature during hypothermia was 35.1 +/- 0.7 degrees C in the 35 degrees C hypothermia group and 33.4 +/- 0.8 degrees C in the 33 degrees C hypothermia group. Mean ICP was controlled under 20 mm Hg during hypothermia in both the 35 degrees C hypothermia and 33 degrees C hypothermia groups. The incidence of intracranial hypertension and low cerebral perfusion pressure did not differ between the two groups. The 35 degrees C hypothermic patients exhibited a significant improvement in the decline of serum potassium concentrations during hypothermia and in the increment of C-reactive protein after rewarming. The mortality rate and the incidence of systemic complications tended to be lower in the 35 degrees C group.

CONCLUSIONS

Cooling patients to 35 degrees C is safe and the ICP reduction effects of 35 degrees C hypothermia are similar to those of 33 degrees C hypothermia.

Characteristics of febrile patients with normal white blood cell counts and high C-reactive protein levels in an emergency department

Fever is one of the more common chief complaints of patients who visit emergency departments (ED). Many febrile patients have markedly elevated C-reactive protein (CRP) levels and normal white blood cell (WBC) counts. Most of these patients have bacterial infection and no previous underlying disease of impaired WBC functioning. We reviewed patients who visited our ED between November 2003 and July 2004. The WBC count and CRP level of patients over 18 years of age who visited the ED because of or with fever were recorded. Patients who had normal WBC count (4,000–10,000/mL) and high CRP level (> 100 mg/L) were included. The data, including gender, age and length of hospital stay, were reviewed. Underlying diseases, diagnosis of the febrile disease and final condition were recorded according to the chart. Within the study period, 54,078 patients visited our ED. Of 5,628 febrile adults, 214 (3.8%) had elevated CRP level and normal WBC count. The major cause of febrility was infection (82.24%). Most of these patients were admitted (92.99%). There were 32 patients with malignant neoplasm, nine with liver cirrhosis, 66 with diabetes mellitus and 11 with uremia. There were no significant differences in age and gender between patients with and those without neoplasm. However, a higher inhospital mortality rate and other causes of febrility were noted in patients with neoplasm. It was not rare in febrile patients who visited the ED to have a high CRP level but normal WBC count. These patients did not necessarily have an underlying malignant neoplasm or hematologic illness. Factors other than malignant neoplasm or hematologic illness may be associated with the WBC response, and CRP may be a better indicator of infection under such conditions.

Systemic Inflammatory Response Syndrome and Nosocomial Infection in Trauma

BACKGROUND

Admission systemic inflammatory response syndrome (SIRS) score has been previously reported to be an accurate predictor of infection and outcome in trauma. However, the data were limited to the first 7 days of admission. Our objective in this follow-up study was to prospectively evaluate the utility of daily SIRS scores in the second and third week of admission as compared with the first week in prediction of nosocomial infection and outcome in high-risk trauma patients.

METHODS

Prospective data were collected on 1,277 consecutive trauma patients admitted during a 28-month period to the intensive care unit. SIRS scores were calculated daily for the first week and every other day for the following 2 weeks. Patients were categorized into SIRS occurring "early" (week 1), "middle" (week 2), and "late" (week 3). Centers for Disease Control and Prevention guidelines were used for the diagnosis of infection. Multivariate linear and logistic regression analyses were utilized for statistical analyses, controlling for the covariates of age, Injury Severity Score, and admission Glasgow Coma Scale score.

RESULTS

The trauma cohort included patients with blunt injuries (84%) and penetrating injuries (16%). The mean age was 43 +/- 21 years with an overall mortality of 14.7%. Nosocomial infection developed in 580 (45.4%) of the study patients (respiratory site most common) with a total of 1,001 infections (some patients with multiple infections). SIRS (defined as SIRS score >/=2) was common, with 92.4% of patients manifesting SIRS at admission. SIRS was most prevalent during the first week postinjury (91% of patients manifesting SIRS), decreasing to 69% and 50% during postinjury weeks 2 and 3. SIRS was more common in patients who acquired nosocomial infections compared with noninfected patients. Logistic regression analysis confirmed that patients with "middle" SIRS during week 2 (odds ratio [OR] 17.62, confidence interval [CI] 12.95-23.97, p < 0.0001, receiver operating characteristic [ROC] 0.83) and "late" SIRS during week 3 (OR18.12, CI 12.71-25.84, p < 0.0001, ROC 0.81) had significantly greater risk for nosocomial infection compared with patients with "early" SIRS during week 1 (OR 4.55, CI 2.57-8.06, p < 0.0001, ROC 0.65) postinjury.

CONCLUSION

SIRS is predictive of nosocomial infection in trauma through postinjury day 21. Nosocomial infection should be considered as a treatable cause of SIRS in trauma patients, and early diagnostic interventions should be initiated to evaluate for potential causes.

A Practical Application of Practice-Based Learning: Development of an Algorithm for Empiric Antibiotic Coverage in Ventilator-Associated Pneumonia

BACKGROUND

Development of practice-based learning (PBL) is one of the core competencies required for resident education by the Accreditation Council for Graduate Medical Education, and specialty organizations including the American College of Surgeons have formed task forces to understand and disseminate information on this important concept. However, translating this concept into daily practice may be difficult. Our goal was to describe the successful application of PBL to patient care improvement with development of an algorithm for the empiric therapy of ventilator-associated pneumonia (VAP).

METHODS

The algorithm development occurred in two phases. In phase 1, the microbiology and timing of VAP as diagnosed by bronchoalveolar lavage was reviewed over a 2-year period to allow for recognition of patterns of infection. In phase 2, based on these data, an algorithm for empiric antibiotic coverage that would ensure that the large majority of patients with VAP received adequate initial empiric therapy was developed and put into practice. The period of algorithm use was then examined to determine rate of adequate coverage and outcome.

RESULTS

: In Phase 1, from January 1, 2000 to December 31 2001, 110 patients were diagnosed with VAP. Analysis of microbiology revealed a sharp increase in the recovery of nosocomial pathogens on postinjury day 7 (19% < day 7 versus 47% > or = day 7, p = 0.003). Adequate initial antibiotic coverage was seen in 74%. In Phase 2, an algorithm employing ampicillin- sulbactam for coverage of community- acquired pathogens before day 7 and cefipime for nosocomial coverage > or =day 7 was then employed from January 1, 2002 to December 31, 2003. Evaluation of 186 VAP cases during this interval revealed a similar distribution of nosocomial cases (13% < day 7 versus 64% > or = day 7, p < 0.0001). Empiric antibiotic therapy was adequate in 82% of cases <day 7 and 85% of cases > or =day 7: overall accuracy improved to 83% (p = 0.05). Mortality from phase 1 to phase 2 trended toward a decrease (21% versus 13%, p = 0.1).

CONCLUSIONS

Application of the concept of PBL allowed for identification of local patterns of infection and development of an institution specific treatment algorithm that resulted in >80% adequate initial empiric coverage for VAP with a trend toward decreased mortality. PBL allows for alteration in practice based on local patterns and outcomes and has the potential to improve patient care.

National nosocomial infection surveillance system: from benchmark to bedside in trauma patients

INTRODUCTION

Ventilator-associated pneumonia (VAP) is an important cause of morbidity and mortality in the injured patient. Identification of those with VAP is important both in immediate clinical decision making as well as for the epidemiologic evaluation of the disease and benchmarking of rates across institutions with variable practice patterns. Despite this, controversy exists over the optimal method of VAP diagnosis. Many centers currently use invasive culture methods such as bronchoalveolar lavage (BAL) for diagnosis. Another diagnostic method, and the most common epidemiologic tool used to track VAP, is the definition employed by the National Nosocomial Infections Surveillance (NNIS) system. This relies on a combination of clinical and culture data. Our goal was to evaluate the accuracy of the NNIS definition as compared with BAL diagnosis in trauma patients.

METHODS

Records of all ventilated patients admitted to the trauma intensive care unit at a Level I center who were evaluated for the presence of pneumonia over a 2.5-year period were reviewed. VAP diagnosis was established if > or =10 cfu/mL were cultured on BAL. VAP rates and time of onset were compared with the hospital infection control database, which defines VAP by NNIS criteria. Assuming BAL to be correct, sensitivity, specificity, and positive and negative predictive values were calculated for NNIS VAP.

RESULTS

From September 1, 2001, through December 31, 2003, 292 patients underwent BAL for suspected pneumonia. The pneumonia rate in this group was 34 per 1,000 ventilator days. The NNIS definition showed excellent overall agreement, with a rate of 36 per 1,000 ventilator days. The use of the NNIS definition for bedside decision making, however, is less accurate. Sensitivity and positive predictive value were reasonably good (84% and 83%, respectively), whereas specificity and negative predictive value suffer (69% and 69%, respectively). Most importantly, the use of NNIS would have led to no treatment in 16% of patients diagnosed with VAP by BAL.

CONCLUSIONS

Compared with strict bacteriologic criteria for VAP, the NNIS definition has good overall agreement and seems to have utility as an epidemiologic benchmarking tool in trauma patients. However, the NNIS definition has less utility as a bedside decision-making tool in this population, leading to under-treatment in a significant number of patients.

[Serum C-reactive protein as a marker of outcome and infection in critical care patients]

BACKGROUND AND OBJECTIVE

C-reactive protein (CRP) has been considered a marker for infection and an aid for diagnosing sepsis. We analyze the relation of CRP to infection and outcome in intensive care units (ICU) patients.

PATIENTS AND METHOD

Prospective study on 77 ventilated patients. Expected short ICU stay or (suspected or confirmed) infection at admission were excluding criteria. 55 admissions after elective surgery were the controls. CRP measurement the first (CRP-1), third (CRP-3) and sixth (CRP-6) day of stay. APACHE II (Acute Physiology Score and Chronic Health Evaluation), SOFA (Sepsis-related Organ Failure Assessment), shock, respiratory or renal failure, leucocytes, platelets and albumin were registered. Follow-up until day 9 for infection and ICU discharge for outcome.

RESULTS

CRP-1 in controls was 5.3 (3.9) mg/l and cases 67.8 (77.4) (p < 0.001). Shock on admission was related to CRP-1: patients in shock had higher CRP-1 levels (118.6 [82.8] vs 62.8 [75.6]; p = 0.06). 40.25% of cases developed infection, and CRP-1 levels were higher in this patients (88.8 [93.9] vs 53.8 [60.9]; p < 0.05). ROC area under curve was 0.6 with a sensibility of 23% and a specificity of 89% for a level of CRP-1 > 100. Mortality was 23.4% in cases and 1.8% in controls. Age, shock, APACHE II and SOFA were related to mortality, but CRP-1 did not. ROC area under curve for CRP-1 as mortality predictor in all patients was 0.62 (0.76 for APACHE II and 0.77 for SOFA) but only in cases was of 0.49 (0.69 for APACHE II and 0.67 for SOFA).

CONCLUSIONS

CRP level on admission is an useful marker for early infection but not for outcome in critically ill patients admited to the ICU.

Monitoring therapeutic interventions in critically ill septic patients

Sepsis is the leading cause of admission to intensive care units in the United States. Although the treatment of sepsis is complex and multimodal, nutrition support plays an important role in the management of these patients. The diagnosis of sepsis, disease category, and severity of illness and the change in sepsis severity and organ function over time affect the delivery of nutrition support. This paper reviews the diagnostic criteria of sepsis, the use of "sepsis biomarkers," and regional and global markers of organ function in sepsis and quantitative measures of illness severity and organ dysfunction.

C-reactive protein used as an early indicator of infection in patients with systemic inflammatory response syndrome

OBJECTIVE

To assess the diagnostic value of a single determination of serum C-reactive protein as a marker of sepsis in critically ill patients.

DESIGN

Prospective, observational study.

SETTING

Intensive care unit of a university hospital.

PATIENTS AND PARTICIPANTS

One hundred twenty-five adult patients with systemic inflammatory response syndrome (SIRS) (55 patients without evidence of infection and 70 patients with the diagnosis of sepsis confirmed by documented infection). Twenty-five patients with non-complicated acute myocardial infarctions (AMI) and 50 healthy volunteers were used as controls.

INTERVENTIONS

None.

MEASUREMENTS AND RESULTS

Serum C-reactive protein concentration was measured within the first 24 h of SIRS onset. Healthy subjects, AMI and non-infectious SIRS patients showed lower C-reactive protein median values ([(0.21 [95% confidence intervals (95% CI), 0.21-0.4] mg/dl, 2.2 [95% CI, 2.1-4.9] mg/dl and 1.7 [95% CI, 2.4-5.5] mg/dl, respectively) than patients with sepsis (18.9 [95% CI, 17.1-21.8]), p<0.001. The presence of severe sepsis ( r(s)=0.27; p=0.03), SOFA score ( r(s)=0.25; p=0.03) and arterial lactate ( r(s)=0.24; p=0.04) correlated significantly with C-reactive protein concentrations in sepsis cases. The best threshold value for C-reactive protein for predicting sepsis was 8 mg/dl (sensitivity 94.3%, specificity 87.3%). The area under the receiver-operating characteristic curve for C-reactive protein was 0.94 (95% CI, 0.89-0.98).

CONCLUSIONS

Determination of serum C-reactive protein can be used as an early indicator of infection in patients with SIRS.

Serum procalcitonin and C-reactive protein levels as markers of bacterial infection: a systematic review and meta-analysis

A meta-analysis was performed to evaluate the accuracy of determination of procalcitonin (PCT) and C-reactive protein (CRP) levels for the diagnosis of bacterial infection. The analysis included published studies that evaluated these markers for the diagnosis of bacterial infections in hospitalized patients. PCT level was more sensitive (88% [95% confidence interval [CI], 80%-93%] vs. 75% [95% CI, 62%-84%]) and more specific (81% [95% CI, 67%-90%] vs. 67% [95% CI, 56%-77%]) than CRP level for differentiating bacterial from noninfective causes of inflammation. The Q value for PCT markers was higher (0.82 vs. 0.73). The sensitivity for differentiating bacterial from viral infections was also higher for PCT markers (92% [95% CI, 86%-95%] vs. 86% [95% CI, 65%-95%]); the specificities were comparable (73% [95% CI, 42%-91%] vs. 70% [95% CI, 19%-96%]). The Q value was higher for PCT markers (0.89 vs. 0.83). PCT markers also had a higher positive likelihood ratio and lower negative likelihood ratio than did CRP markers in both groups. On the basis of this analysis, the diagnostic accuracy of PCT markers was higher than that of CRP markers among patients hospitalized for suspected bacterial infections.

The systemic inflammatory response syndrome (SIRS) to identify infected patients in the emergency room

OBJECTIVE

Evaluation of the usefulness of criteria for systemic inflammatory response syndrome (SIRS) compared with the final diagnosis of infection in patients admitted to the emergency room of two university-based hospitals.

DESIGN

Longitudinal cohort study.

SETTING

Hospital Universitario San Vicente de Paul and Hospital General de Medellín, Medellín, Colombia. PATIENTS. Seven hundred thirty-four patients with suspected infection as main diagnosis for admittance into the emergency room.

MEASUREMENTS AND RESULTS

Sensitivity, specificity, predictive values and likelihood ratios (LR) of SIRS criteria at admission were determined using, as gold standards, the diagnosis at the time of discharge based on clinical history and evolution, and microbiological confirmation of infection. SIRS criteria were met by 503 patients (68.5%); the discharge diagnosis of infection was found in 657 (89.4%) and 276 (37%) had microbiological confirmation. SIRS criteria exhibited a sensitivity of 69%, specificity of 35%, positive predictive value (PPV) of 90%, negative predictive value (NPV) of 12% and positive LR of 1.06. There were no differences between the two gold standards.

CONCLUSIONS

The finding of two or more SIRS criteria was of little usefulness for diagnosis of infection. It is necessary to work with new criteria and probably with biological markers, in order to obtain a simple, precise and operative definition of the sepsis phenomenon.

Sepsis: a frequent, life-threatening syndrome

Innovative treatments have enhanced the understanding of the pathophysiology of sepsis. An understanding of the underlying nature of the disorder is necessary to develop new therapies and determine their roles in treating patients with sepsis. By studying and determining the interactions among the inflammatory, coagulation, and fibrinolytic pathways, investigators have discovered exciting new areas of research into the mechanisms of tissue injury in sepsis.

Persistent systemic inflammatory response syndrome is predictive of nosocomial infection in trauma

BACKGROUND

Admission systemic inflammatory response syndrome (SIRS) score has been previously reported to be an accurate predictor of infection and outcome in trauma. However, these data were limited to only one SIRS score at admission. A prior study in surgical intensive care unit (ICU) patients reported that the SIRS score on ICU day 2 declined after completion of resuscitation, and was a more accurate predictor of outcome. Our objective in this follow-up study was to prospectively evaluate the utility of daily SIRS scores in prediction of nosocomial infection and outcome in high-risk trauma patients.

METHODS

Prospective data were collected on 702 consecutive trauma patients admitted over a 12-month period to the ICU. SIRS scores were calculated daily. Centers for Disease Control and Prevention guidelines were used for the diagnosis of infection. Multivariate linear regression was used for statistical analysis.

RESULTS

Five hundred seventy-three (82%) patients sustained blunt injuries and 129 (18%) sustained penetrating injuries. The mean age was 43 +/- 21 years, with an overall mortality of 11.4%. Two hundred ninety (41.3%) of the study patients acquired a nosocomial infection (respiratory site most common), with an associated mortality rate of 12.4%. SIRS (defined as SIRS score >/= 2) on hospital days 3 through 7 was a significant predictor of nosocomial infection and hospital length of stay. Persistent SIRS to hospital day 7 was associated with a significant risk for increased mortality (relative risk, 4.7; 95% confidence interval, 1.41-12.87; p = 0.047).

CONCLUSION

Persistent SIRS is predictive of nosocomial infection in trauma. Daily monitoring of SIRS scores is easily accomplished and should be considered in all high-risk trauma patients. Persistent SIRS in trauma should initiate early diagnostic interventions for determination of source of infection, and consideration of early empiric antimicrobial therapy.

Diagnostic value of procalcitonin levels as an early indicator of sepsis

Researchers and clinicians have been investigating and implementing various methods of early diagnosis for sepsis before documentation of infection. The aim of this study was to outline the efficiency of procalcitonin (PCT), C-reactive protein (CRP), and white blood cell count (WBC) in determining the early diagnosis of sepsis in the emergency department. Between January 1999 and September 2000, 34 patients with signs of systemic inflammatory response syndrome (SIRS) were enrolled in the study. The patients were divided into 2 groups according to non-suspected sepsis and suspected sepsis clinically. Admission PCT was significantly higher in suspected sepsis group (median 68.7 microg/L; lower [L] = 15.24 microg/L, upper [U] = 120.54 microg/L) compared with the unsuspected sepsis group (.23 microg/L; L =.10 microg/L, U =.44 microg/L). PCT values were compared with WBC and CRP levels. Predictive accuracy for sepsis expressed as area under the receiver operating characteristic (ROC) curve was.88 for PCT,.44 for WBC, and.34 for CRP. PCT can probably be used as a predictive marker in bacterial infections in emergency departments.

Back to basics: validation of the admission systemic inflammatory response syndrome score in predicting outcome in trauma

BACKGROUND

We have previously documented that the admission systemic inflammatory response syndrome (SIRS) score, calculated with four variables-temperature, heart rate, neutrophil count, and respiratory rate-is a significant predictor of outcome in trauma (n = 4,887). The objective of this current study was to validate our previous findings in a larger trauma patient population, to analyze the predictive accuracy of the four individual components of the SIRS score (temperature, heart rate, neutrophil count, and respiratory rate), and to assess whether the admission SIRS score is an accurate predictor of intensive care unit (ICU) resource use in trauma.

METHODS

Prospective data were collected on 9,539 patients admitted to a Level I trauma center over a 30-month period (January 1997-July 1999). Patients were stratified by age, sex, race, and Injury Severity Score (ISS). SIRS score was calculated at admission, and SIRS was defined as a SIRS score > or = 2.

RESULTS

SIRS score was validated as a significant independent predictor of outcome in trauma by logistic regression analysis after controlling for age and ISS. Of the four SIRS variables, hypothermia (temperature < 36 degrees C) was the most significant predictor of mortality after controlling for age and ISS. Leukocytosis (neutrophil count > 12,000/mm3) was the most significant predictor of total hospital length of stay. SIRS scores of > or = 2 were increasingly predictive of mortality and ICU admission by logistic regression analysis (p < 0.001).

CONCLUSION

These data provide further validation that an admission SIRS score of > or = 2 is a significant independent predictor of outcome and ICU resource use in trauma. Temperature (hypothermia) is the individual component of the SIRS score with the greatest predictive accuracy. SIRS score should be calculated on all trauma admissions.

Early elevation of soluble CD14 may help identify trauma patients at high risk for infection

BACKGROUND

Elevated levels of soluble CD14 (sCD14) have been implicated in both gram-positive and gram-negative sepsis, and it has been associated with high mortality in trauma patients who become infected.

METHODS

Eleven healthy volunteers and 25 adult trauma patients with multiple injuries and a mean Injury Severity Score of 32 participated. Whole blood was obtained at intervals. Immunohistochemistry was used to quantify membrane CD14 (mCD14), by flow cytometry and plasma levels of sCD14 by enzyme-linked immunosorbent assay. Analysis of variance and Student's T test with Mann-Whitney posttest were used to determine significance at p < 0.05.

RESULTS

On posttrauma day 1, sCD14 was significantly different in the plasma of infected patients compared with normal controls (7.16 +/- 1.87 microg/mL vs. 4.4 +/- 0.92 microg/mL, p < 0.01), but not significantly different from noninfected patients. The percentage of monocytes expressing mCD14 in trauma patients did not differentiate them from normal controls; however, mCD14 receptor density did demonstrate significance in septic trauma patients (n = 15) versus normal controls on posttrauma day 3 (p = 0.0065).

CONCLUSION

On the basis of our data, mCD14 did not differentiate infected and noninfected trauma patients, although trauma in general reduced mCD14 and elevated sCD14. Interestingly, 100% of patients who exceeded plasma levels of 8 microg/mL of sCD14 on day 1 after injury developed infections. Therefore, early high expressers of sCD14 may be at higher risk for infectious complications after trauma.

Systemic inflammatory response syndrome score at admission independently predicts infection in blunt trauma patients

BACKGROUND

Systemic inflammatory response syndrome (SIRS) score has been demonstrated to be an accurate predictor of outcome in critical surgical illness. To our knowledge, there is a paucity of data using SIRS score as a tool to predict posttraumatic infection. Our goal was to determine whether the severity of SIRS score at admission is an accurate predictor of infection in trauma patients.

METHODS

Prospective data were collected on 4,887 blunt trauma patients admitted to a primary adult resource center designated trauma center over an 18-month period. Patients were stratified by age and Injury Severity Score (ISS). SIRS score was calculated at admission. SIRS was defined as an SIRS score > or = 2. Each patient was screened for infection by an infectious disease specialist. Those at high risk for infection were then monitored daily throughout their hospitalization. Centers for Disease Control and Prevention guidelines were used to diagnose infection.

RESULTS

Of the 4,887 patients, 1,850 (38%) were admitted > 24 hours and evaluated for subsequent infection (mean ISS, 16 +/- 9; mean age, 43 +/- 19, SD). Thirty-one percent (577) of the patients acquired an infection. The mean hospital length of stay (20.2 days vs. 6.5 days) and mortality (7.8% vs. 2.7%) were significantly greater in the infected group (p < 0.001). Of the four SIRS variables (temperature, heart rate, white blood cell count, and respiratory rate), hypothermia and leukocytosis were the most significant predictors of infection (p < 0.001) when adjusted for age and ISS. SIRS scores of > or = 2 were increasingly predictive of infection when analyzed by multiple logistic regression analysis.

CONCLUSION

An admission SIRS score of > or = 2 is a significant independent predictor of infection and outcome in blunt trauma. Daily SIRS scores may be a meaningful method of assessing postinjury risk of infection, and may initiate earlier diagnostic intervention for determination of infection.