Serum cortisol predicts death and critical disease independently of CRB-65 score in community-acquired pneumonia: a prospective observational cohort study

Early enteral nutrition and mobilization following head and neck surgery with free flap reconstruction

BACKGROUND

Perioperative management methods that reduce surgery-associated invasiveness and improve the quality of postoperative recovery are being promoted as enhanced recovery after surgery programs in various areas. Early enteral nutrition and mobilization are essential elements for enhanced recovery after surgery; however, their safety and feasibility are unclear in head and neck surgery with free tissue transfer reconstruction. This study aimed to clarify these uncertainties.

METHODS

This is a retrospective before-after study. From 2018 to 2022, 187 and 173 patients received conventional management on or before April 2020 and early management on or after May 2020, respectively. The conventional management and early management groups received enteral nutrition and mobilization on postoperative days 2 and 1, respectively. The primary outcome for safety assessment was the incidence of complications. The secondary outcome was the compliance rate of conventional management or early management for feasibility assessment and the length of hospital stay.

RESULTS

The clinical tumour-node-metastasis stage and American Society of Anesthesiologists physical status showed significant differences between the groups. In multivariable analysis, the early management group demonstrated a significantly lower incidence of treatment-required complication classified Clavien-Dindo Grade 2 and above (odds ratio = 0.57; 95% confidence interval = 0.31-0.92) and lower wound infection (odds ratio = 0.53; 95% confidence interval = 0.31-0.92). The early management group had lower compliance rate than the conventional management group; however, no statistically significant difference was observed (79.8% vs. 85.0%, P = 0.21).

CONCLUSION

Early management is safe and feasible following head and neck surgery with free tissue transfer reconstruction. It could reduce the complication rate and is considered a useful postoperative management method.

Impact of non-severe infections on cortisol and thyroid stimulating hormone baseline levels in hospitalized patients: A monocentric cross-sectional study

Objective. The hormonal balance is dependent on the internal and external stimuli. The baseline cortisol (BC) and thyroid stimulating hormone (TSH) levels have been observed to vary and have a predictive value in critical illness settings. Few reports have studied their variation in non-severe acute illness. The present study aims to describe the variation of BC and TSH levels and to determine the factors influencing BC and TSH levels in patients admitted with non-severe acute illness. Patients and Methods. This is a cross-sectional study of patients admitted to Infectious Diseases and Endocrinology units at the Department of Endocrinology-Diabetology and Internal Medicine at Tahar Sfar University Hospital between March 15th and September 15th, 2020. BC and TSH levels were obtained during the hospitalization. Results. A total of 143 patients were included in this study with 75 presenting with infection. All infections were community-acquired and predominantly non-severe. The BC levels were higher in patients with infection (p=0.004), especially those admitted via the emergency department (p=0.009) with a fever (p=0.015). The BC positively correlated with the temperature (p=0.002, r'=0.350), CRP levels (p=0.002, r'=0.355), neutrophil to lymphocyte ratio (p=0.045, r'=0.235), and SOFA score (p=0.023, r'=0.262). On the other hand, TSH levels were comparable in the presence of infection (p=0.400). TSH levels did not correlate with the fever, the severity of infection, or inflammation biomarkers. Both BC and TSH did not predict unfavorable outcomes in non-severe infected patients. Conclusion. In patients admitted with critical acute infections, the BC levels seem to indicate a relatively more severe infectious state. On the other hand, TSH levels did not show significant variations in these patients.

The Added Value of Serum Random Cortisol and Thyroid Function Tests as Mortality Predictors for Critically Ill Patients: A Prospective Cohort Study

Background: Thyroid hormone and cortisol levels can change during a course of illness. Our study was conducted to assess the ability of the level of these hormones to predict mortality among intensive care unit (ICU) patients. The added predictive value of these hormones with APACHE II scores was also evaluated. Methods: Thyroid hormones and random cortisol levels in adult ICU patients were collected on admission. Multivariate logistic regression analysis was used to assess the relationship between hormone levels and mortality. The added value of the mortality predictive ability was determined by area under the receiver operating characteristic (AuROC). Results: A total of 189 patients were included in the study. Free T3 and serum random cortisol levels were statistically significantly related to ICU mortality with OR 0.51 (0.28, 0.97), p = 0.047 and OR 1.02 (1.01, 1.04), p < 0.002, respectively. Free T3 and serum random cortisol significantly enhanced the predictive performance of APACHE II scores with an AuROC of 0.656 (non-added value model) versus 0.729 (added value model), p = 0.009. The scoring system was created with a total score that ranged from 1 to 14. A score above 7.0 indicated a high mortality rate with a sensitivity of 81.5% and a specificity of 33%. Conclusions: Serum free T3 and cortisol levels are significantly associated with ICU mortality and can enhance the ability of APACHE II scores to predict ICU mortality.

Unmet needs in pneumonia research: a comprehensive approach by the CAPNETZ study group

Introduction

Despite improvements in medical science and public health, mortality of community-acquired pneumonia (CAP) has barely changed throughout the last 15 years. The current SARS-CoV-2 pandemic has once again highlighted the central importance of acute respiratory infections to human health. The “network of excellence on Community Acquired Pneumonia” (CAPNETZ) hosts the most comprehensive CAP database worldwide including more than 12,000 patients. CAPNETZ connects physicians, microbiologists, virologists, epidemiologists, and computer scientists throughout Europe. Our aim was to summarize the current situation in CAP research and identify the most pressing unmet needs in CAP research.

Methods

To identify areas of future CAP research, CAPNETZ followed a multiple-step procedure. First, research members of CAPNETZ were individually asked to identify unmet needs. Second, the top 100 experts in the field of CAP research were asked for their insights about the unmet needs in CAP (Delphi approach). Third, internal and external experts discussed unmet needs in CAP at a scientific retreat.

Results

Eleven topics for future CAP research were identified: detection of causative pathogens, next generation sequencing for antimicrobial treatment guidance, imaging diagnostics, biomarkers, risk stratification, antiviral and antibiotic treatment, adjunctive therapy, vaccines and prevention, systemic and local immune response, comorbidities, and long-term cardio-vascular complications.

Conclusion

Pneumonia is a complex disease where the interplay between pathogens, immune system and comorbidities not only impose an immediate risk of mortality but also affect the patients’ risk of developing comorbidities as well as mortality for up to a decade after pneumonia has resolved. Our review of unmet needs in CAP research has shown that there are still major shortcomings in our knowledge of CAP.

Assessment of salivary alpha-amylase and cortisol as a pain related stress biomarker in dogs pre-and post-operation

Background

The use of salivary biomarkers has garnered attention because the composition of saliva reflects the body’s physiological state. Saliva contains a wide range of components, including peptides, nucleic acids, electrolytes, enzymes, and hormones. It has been reported that salivary alpha-amylase and cortisol are biomarkers of stress related biomarker in diseased dogs; however, evaluation of salivary alpha-amylase and cortisol pre- and post- operation has not been studied yet. The aim of this study was to evaluate salivary alpha-amylase and cortisol levels in dogs before and after they underwent surgery and investigate the association between the salivary alpha-amylase and cortisol activity and pain intensity. For this purpose, a total of 35 dogs with disease-related pain undergoing orthopedic and soft tissue surgeries were recruited. Alpha-amylase and cortisol levels in the dogs’ saliva and serum were measured for each using a commercially available canine-specific enzyme-linked immunosorbent assay kit, and physical examinations (measurement of heart rate and blood pressure) were performed. In addition, the dogs’ pre- and post-operative pain scores determined using the short form of the Glasgow Composite Measure Pain Scale (CMPS-SF) were evaluated.

Results

After surgery, there was a significant decrease in the dogs’ pain scores (0.4-fold for the CMPS-SF, p < 0.001) and serum cortisol levels (0.73-fold, p < 0.01). Based on their pre-operative CMPS-SF scores, the dogs were included in either a high-pain-score group or a low-pain-score group. After the dogs in the high-pain-score group underwent surgical intervention, there was a significant decrease in their CMPS-SF scores and levels of salivary alpha-amylase, serum alpha-amylase, and serum cortisol. Additionally, there was a positive correlation between salivary alpha-amylase levels and CMPS-SF scores in both the high- and low-pain-score groups.

Conclusions

The measurement of salivary alpha amylase can be considered an important non-invasive tool for the evaluation of pain-related stress in dogs.

[Management of Adult Community-Acquired Pneumonia and Prevention - Update 2021 - Guideline of the German Respiratory Society (DGP), the Paul-Ehrlich-Society for Chemotherapy (PEG), the German Society for Infectious Diseases (DGI), the German Society of Medical Intensive Care and Emergency Medicine (DGIIN), the German Viological Society (DGV), the Competence Network CAPNETZ, the German College of General Practitioneers and Family Physicians (DEGAM), the German Society for Geriatric Medicine (DGG), the German Palliative Society (DGP), the Austrian Society of Pneumology Society (ÖGP), the Austrian Society for Infectious and Tropical Diseases (ÖGIT), the Swiss Respiratory Society (SGP) and the Swiss Society for Infectious Diseases Society (SSI)]

The present guideline provides a new and updated concept of the management of adult patients with community-acquired pneumonia. It replaces the previous guideline dating from 2016.The guideline was worked out and agreed on following the standards of methodology of a S3-guideline. This includes a systematic literature search and grading, a structured discussion of recommendations supported by the literature as well as the declaration and assessment of potential conflicts of interests.The guideline has a focus on specific clinical circumstances, an update on severity assessment, and includes recommendations for an individualized selection of antimicrobial treatment.The recommendations aim at the same time at a structured assessment of risk for adverse outcome as well as an early determination of treatment goals in order to reduce mortality in patients with curative treatment goal and to provide palliation for patients with treatment restrictions.

The Glycemic Gap and 90-Day Mortality in Community-acquired Pneumonia. A Prospective Cohort Study

Rationale: Hyperglycemia is associated with mortality in patients with community-acquired pneumonia (CAP), and hyperglycemia may be a biomarker of severity. However, hyperglycemia has a major disadvantage because the association is diminished in patients with diabetes mellitus (DM). This hampers the use of hyperglycemia as a biomarker. Accounting for habitual glucose levels could overcome this disadvantage.Objectives: We hypothesized that the glycemic gap (the difference between plasma glucose and the estimated average glucose) may be associated with mortality irrespective of DM.Methods: Among 1,933 adults with CAP included in a prospective multicenter cohort, we investigated the association between the glycemic gap and 90-day mortality. Hemoglobin A_1c was used to estimate the average glucose. The association was assessed with Cox proportional hazard models after adjustment for age, sex, CURB-65 (Confusion, urea >7 mmol/L, respiratory rate ≥30 breaths/minute, systolic blood pressure <90 mmHg or diastolic blood pressure ≤60 mmHg and age ≥65 years), and comorbidities. In the prespecified analysis the absolute and relative glycemic gaps were used as a continuous variable. In a post hoc analysis, the absolute and relative glycemic gaps were used as a categorical variable grouped according to quartiles.Results: In the post hoc analysis, patients with the lowest (negative) and highest (positive) absolute glycemic gap quartiles had increased risk of 90-day mortality (hazard ratio, 2.6; 95% confidence interval, 1.02-6.65; and hazard ratio, 2.5; 95% confidence interval, 1.01-6.06, respectively). A similar association was found for the relative glycemic gap. The associations were independent of age, CURB-65 score, sex, or number of comorbidities and not modified by DM.Conclusions: Patients with the highest and lowest glycemic gap may have an increased risk of 90-day mortality, and the association was not modified by DM. These associations were found in an exploratory post hoc analysis and should be validated in other populations before further conclusions can be made.

Biomarkers in Community-Acquired Pneumonia (Cardiac and Non-Cardiac)

Community-acquired pneumonia (CAP) remains the first cause of morbidity and mortality worldwide due to infection. Several aspects such as severity and host response are related to its clinical course and outcome. Beyond the acute implications that the infection provokes in the host, pneumonia also has long-term negative consequences. Among them, cardiovascular complications and mortality are the most outstanding. Therefore, an adequate recognition and stratification of the risk of complications and mortality is crucial. Many biomarkers have been studied for these reasons, considering that each biomarker mirrors a different aspect. Moreover, the clinical application of many of them is still being deliberated because of their limitations and the heterogeneity of the disease. In this review, we examine some of the most relevant biomarkers that we have classified as cardiac and non-cardiac. We discuss some classic biomarkers and others that are considered novel biomarkers, which are mainly involved in cardiovascular risk.

NACHT, LRR, and PYD domains-containing Protein 3 and LL-37: prognostic value of new biomarkers in community-acquired pneumonia

Objective

This study aimed to determine the serum levels of NACHT, Leucine-rich repeat (LRR), and Pyrin (PYD) domains-containing Protein 3 (NLRP3) and cathelicidin LL-37, and investigate their prognostic significance in community-acquired pneumonia (CAP).

Methods

The sample of this prospective study was composed of 76 consecutive patients with CAP. Demographic data and clinical characteristics were collected. Serum levels of NLRP3 and LL-37 were determined by ELISA. Spearman’s analysis was used to evaluate the correlation between NLRP3 and LL-37. Association of NLRP3 and LL-37 with 30-day survival and mortality rates was assessed using the Kaplan-Meier curve and logistic regression analysis.

Results

Serum NLRP3 significantly increased whereas serum LL-37 significantly decreased in patients with severe CAP. Significant correlation was observed between serum NLRP3 and LL-37 in CAP patients. Patients with higher levels of NLRP3 and lower levels of LL-37 showed lower 30-day survival rate and higher mortality compared with those with lower NLRP3 and higher LL-37 levels.

Conclusion

Severe CAP patients tend to present higher serum NLRP3 and lower serum LL-37, which might serve as potential biomarkers for CAP prognosis.

Meta-analysis of Calibration, Discrimination, and Stratum-Specific Likelihood Ratios for the CRB-65 Score

BACKGROUND

The CRB-65 score is recommended as a decision support tool to help identify patients with community-acquired pneumonia (CAP) who can safely be treated as outpatients.

OBJECTIVE

To perform an updated meta-analysis of the accuracy, discrimination, and calibration of the CRB-65 score using a novel approach to calculation of stratum-specific likelihood ratios.

DESIGN

Meta-analysis of accuracy, discrimination, and calibration.

METHODS

We searched PubMed, Google, previous systematic reviews, and reference lists of included studies. Data was abstracted and quality assessed in parallel by two investigators. The quality assessment used an adaptation of the TRIPOD and PROBAST criteria. Measures of discrimination, calibration, and stratum-specific likelihood ratios are reported.

KEY RESULTS

Twenty-nine studies met our inclusion criteria and provided usable data. Most studies were set in Europe, none in North America, and 12 were judged to be at low risk of bias. The pooled estimate of area under the receiver operating characteristic curve was 0.74 (95% CI 0.71-0.77) for all studies. Calibration was good although there was significant heterogeneity; the pooled estimate of the ratio of observed to expected mortality for all studies was 1.04 (95% CI 0.91-1.19). The corresponding values for studies at low risk of bias where patients could be treated as outpatients or inpatients were 0.76 (0.70-0.81) and 0.88 (0.69-1.13). Summary estimates of stratum-specific likelihood ratios for all studies were 0.19 for the low-risk group, 1.1 for the moderate-risk group, and 4.5 for the high-risk group, and 0.13, 1.3, and 5.6 for studies at low risk of bias where patients could be treated as outpatients or inpatients.

CONCLUSIONS

The CRB-65 is useful for identifying low-risk patients for outpatient therapy. Given a 4% overall mortality risk, patients classified as low risk by the CRB-65 had an outpatient mortality risk of no more than 0.5%.

Clinical prognostic significance of serum high mobility group box-1 protein in patients with community-acquired pneumonia

Objective

To investigate the relationship between serum high mobility group box-1 protein (HMGB-1) levels and prognosis in patients with community-acquired pneumonia (CAP).

Methods

This prospective study included 35 patients who attended our hospital from January 2016 to December 2016. Pneumonia severity was defined by pneumonia severity index (PSI). Serum levels of C-reactive protein (CRP), cortisol, and HMGB-1 were analyzed in relation to disease severity and clinical outcome.

Results

High HMGB-1 levels were associated with high cortisol levels. High HMGB-1 and high cortisol were both significantly associated with high white blood cell count and high serum CRP, compared with low HMGB-1 and low cortisol, respectively. PSI score and 30-day mortality were also significantly higher in patients with high HMGB-1 or high cortisol levels compared with patients with low HMGB-1 or cortisol levels, respectively. CRP, cortisol, and HMGB-1 levels were all significantly higher in patients who died compared with survivors.

Conclusion

HMGB-1 was associated with clinical outcomes and was an independent risk factor for 30-day mortality in patients with CAP. Serum HMGB-1 levels were also positively correlated with serum levels of cortisol. These results demonstrate a role for HMGB-1 in CAP, and suggest possible new therapeutic targets for patients with CAP.

Dihydrotestosterone is a predictor for mortality in males with community-acquired pneumonia: results of a 6-year follow-up study

BACKGROUND

Adrenal hormone metabolite levels are altered in acute illnesses such as community-acquired pneumonia (CAP). Our aim was to investigate associations of sex and mineralocorticoid hormone metabolites with short- and long-term mortality and severity of CAP in male and female patients.

METHODS

We prospectively followed 285 patients (60.4% male, mean age 71 years) with CAP from a previous multicenter trial. At baseline, levels of different metabolites of sex hormones and mineralocorticoids were measured by liquid chromatography coupled to tandem mass spectrometry. We calculated Cox regression models adjusted for age and comorbidities.

RESULTS

All-cause mortality was 5.3% after 30 days and increased to 47.4% after 6 years. In males, high levels of dihydrotestosterone were associated with higher 6-year mortality (adjusted HR 2.84, 95%CI 1.15-6.99, p = 0.023), whereas high levels of 17-OH-progesterone were associated with lower 6-year mortality (adjusted HR 0.72, 95%CI 0.54-0.97, p = 0.029). Testosterone levels in males correlated inversely with inflammatory markers (CRP rho = - 0.39, p < 0.001; PCT rho = - 0.34, p < 0.001) and disease severity as assessed by the Pneumonia severity index (PSI) (rho = - 0.23, p = 0.003). No similar association was found for female patients.

CONCLUSION

Whereas in males with CAP, sex and mineralocorticoid hormone metabolite levels correlated with inflammation, disease severity and long-term survival, no similar association was found for females. Further study of sex and mineralocorticoid hormones in acute illness could generate predictive signatures with implementation in clinical practice.

Association of adrenal hormone metabolites and mortality over a 6-year follow-up in COPD patients with acute exacerbation

BACKGROUND

The release of hormones from the adrenal gland is vital in acute and chronic illnesses such as chronic obstructive pulmonary disease (COPD) involving recurrent exacerbations. Using a metabolomic approach, we aim to investigate associations of different adrenal hormone metabolites with short- and long-term mortality in COPD patients.

METHODS

We prospectively followed 172 COPD patients (median age 75 years, 62% male) from a previous Swiss multicenter trial. At baseline, we measured levels of a comprehensive spectrum of adrenal hormone metabolites, including glucocorticoid, mineralocorticoid and androgen hormones by liquid chromatography coupled with tandem mass spectrometry (MS). We calculated Cox regression models adjusted for gender, age, comorbidities and previous corticosteroid therapy.

RESULTS

Mortality was 6.4% after 30 days and increased to 61.6% after 6 years. Higher initial androgen hormones predicted lower long-term mortality with significant results for dehydroepiandrosterone (DHEA) [adjusted hazard ratio (HR), 0.82; 95% confidence interval (CI), 0.70-0.98; p=0.026] and dehydroepiandrosterone sulfate (DHEA-S) (adjusted HR, 0.68; 95% CI, 0.50-0.91; p=0.009). An activation of stress hormones (particularly cortisol and cortisone) showed a time-dependent effect with higher levels pointing towards higher mortality at short term, but lower mortality at long term. Activation of the mineralocorticoid axis tended to be associated with increased short-term mortality (adjusted HR of aldosterone, 2.76; 95% CI, 0.79-9.65; p=0.111).

CONCLUSIONS

Independent of age, gender, corticosteroid exposure and exacerbation type, adrenal hormones are associated with mortality at short and long term in patients with COPD exacerbation with different time-dependent effects of glucocorticoids, androgens and mineralocorticoids. A better physiopathological understanding of the causality of these effects may have therapeutic implications.

Serum Cortisol as a Predictor of Major Adverse Pulmonary Event in Emergency Department Acutely Dyspneic Patients

Cortisol is a steroid hormone released from the adrenal glands in response to stressful conditions. Elevated cortisol levels have been described in stress, but it is unclear whether these are associated with adverse outcomes. In this study, we assess whether cortisol levels drawn in patients presenting with dyspnea to the ED were a predictor of major adverse pulmonary event (MAPE). In 87 patients presenting with dyspnea to the ED, cortisol levels were determined. Patients were then assessed to determine the following MAPE: endotracheal intubation (ETI) in the ED, admission to the intensive care unit (ICU), and in-hospital all-cause mortality. Forty-four patients (50.6%) were female and 33 (37.9%) were diagnosed with heart failure. Cortisol levels in patients with and without MAPE were 34.3μg/dL and 23.8μg/dL, respectively (p<0.001). Also, cortisol levels were found higher in patients intubated in the ED than nonintubated patients (54.2μg/dL vs 25.7μg/dL, p<0.001), higher in patients admitted to the ICU (38.7μg/dL vs 24 μg/dL, p<0.001), and higher in patients who died in hospital (50μg/dL vs 24.3μg/dL, p<0.001). The area under the ROC curve using cortisol to detect any component of MAPE—ETI or ICU admission or in-hospital all-cause mortality—was 0.76 (95% CI, 0.65-0.84). A cortisol value of 31.4μg/dL had sensitivity of 70.8% and specificity of 79.4% for predicting MAPE. Patients in the MAPE group had higher serum cortisol levels than those without any MAPE. Cortisol may be used as a marker to predict MAPE in nontraumatic acutely dyspneic adult patients on ED admission.

The role of metabolomic markers for patients with infectious diseases: implications for risk stratification and therapeutic modulation

INTRODUCTION

Metabolomics is a rapidly growing area of research. Metabolomic markers can provide information about the interaction of different organ systems, and thereby improve the understanding of physio-pathological processes, disease risk, prognosis and therapy responsiveness in a variety of diseases. Areas covered: In this narrative review of recent clinical studies investigating metabolomic markers in adult patients presenting with acute infectious disease, we mainly focused on patients with sepsis and lower respiratory tract infections. Currently, there is a growing body of literature showing that single metabolites from distinct metabolic pathways, as well as more complex metabolomic signatures are associated with disease severity and outcome in patients with systemic infections. These pathways include, among others, metabolomic markers of oxidative stress, steroid hormone and amino acid pathways, and nutritional markers. Expert commentary: Metabolic profiling has great potential to optimize patient management, to provide new targets for individual therapy and thereby improve survival of patients. At this stage, research mainly focused on the identification of new predictive signatures and less on metabolic determinants to predict treatment response. The transition from observational studies to implementation of novel markers into clinical practice is the next crucial step to prove the usefulness of metabolomic markers in patient care.

Usefulness and prognostic value of biomarkers in patients with community-acquired pneumonia in the emergency department

Between all patients treated in the Emergency Department (ED), 1.35% are diagnosed with community-acquired pneumonia (CAP). CAP is the main cause of death due to infectious disease (10-14%) and the most frequent reason of sepsis-septic shock in the ED. In the last decade, the search for objective tools to help establishing an early diagnosis, bacterial aetiology, severity, suspicion of bacteremia and the prognosis of mortality has increased. Biomarkers have shown their usefulness in this matter. Procalcitonin (obtains the highest accuracy for CAP diagnosis, bacterial aetiology and the presence of bacteremia), lactate (biomarker of hypoxia and tissue hypoperfusion) and proadrenomedullin (which has the greatest accuracy to predict mortality which in combination with the prognostic severity scales obtains even better results). The aim of this review is to highlight recently published scientific evidence and to compare the utility and prognostic accuracy of the biomarkers in CAP patients treated in the ED.

Time-dependent association of glucocorticoids with adverse outcome in community-acquired pneumonia: a 6-year prospective cohort study

Background

The hypothalamic-pituitary-adrenal stress axis plays a crucial role in community-acquired pneumonia (CAP), with high cortisol being associated with disease severity and corticosteroid treatment resulting in earlier time to recovery. Our aim in the present study was to compare different glucocorticoid hormones, including cortisol, 11-deoxycortisol, cortisone, and corticosterone, regarding their association with short- and long-term adverse outcomes in a well-defined CAP cohort.

Methods

We prospectively followed 285 patients with CAP from a previous Swiss multicenter trial for a median of 6.1 years and measured different admission glucocorticoid serum levels by liquid chromatography coupled with tandem mass spectrometry. We used adjusted Cox regression models to investigate associations between admission hormone levels and all-cause mortality at different time points.

Results

Mortality was 5.3% after 30 days and increased to 47.3% after 6 years. High admission cortisol was associated with adverse outcome after 30 days (adjusted OR 3.85, 95% CI 1.10–13.49, p = 0.035). In the long term (i.e.,), however, high admission cortisol was associated with better survival (adjusted HR after 3 years 0.53, 95% CI 0.32–0.89, p = 0.017; adjusted HR after 6 years 0.57, 95% CI 0.36–0.90, p = 0.015). Compared with 11-deoxycortisol, cortisone, and corticosterone, cortisol showed the highest association with mortality.

Conclusions

Among different glucocorticoid hormones, cortisol showed the highest association with mortality in CAP. Whereas a more pronounced glucocorticoid stress response on hospital admission was associated with higher short-term adverse outcome, long-term outcome was favorable in these patients. These data should support the correct interpretation of glucocorticoid blood data.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-017-1656-7) contains supplementary material, which is available to authorized users.

[CAPNETZ. The competence network for community-acquired pneumonia (CAP)]

CAPNETZ is a medical competence network for community-acquired pneumonia (CAP), which was funded by the German Ministry for Education and Research. It has accomplished seminal work on pneumonia over the last 15 years. A unique infrastructure was established which has so far allowed us to recruit and analyze more than 11,000 patients. The CAPNETZ cohort is the largest cohort worldwide and the results obtained relate to all relevant aspects of CAP management (epidemiology, risk stratification via biomarkers or clinical scores, pathogen spectrum, pathogen resistance, antibiotic management, prevention and health care research). Results were published in more than 150 journals and informed the preparation and update of the national S3-guideline. CAPNETZ was also the foundation for further networks like the Pneumonia Research Network on Genetic Resistance and Susceptibility for the Evolution of Severe Sepsis) (PROGRESS), the Systems Medicine of Community Acquired Pneumonia Network (CAPSyS) and SFB-TR84 (Sonderforschungsbereich - Transregio 84). The main recipients (Charité Berlin, University Clinic Ulm and the Hannover Medical School) founded the CAPNETZ foundation and transferred all data and materials rights to this foundation. Moreover, the ministry granted the CAPNETZ foundation the status of being eligible to apply for research proposals and receive research funds. Since 2013 the CAPNETZ foundation has been an associated member of the German Center for Lung Research (DZL). Thus, a solid foundation has been set up for CAPNETZ to continue its success story.

Use of CRB-65 and quick Sepsis-related Organ Failure Assessment to predict site of care and mortality in pneumonia patients in the emergency department: a retrospective study

Background

The quick Sepsis-related Organ Failure Assessment (qSOFA) is a new screening system for sepsis that has prognostic performance equal to the full SOFA for patients with suspected infection outside the intensive care unit (ICU). The predictive value of qSOFA for mortality and site of care in patients with pneumonia is not clear. The present study was designed to investigate the predictive performance of qSOFA, CRB-65 (confusion, respiratory rate ≥30/minute, systolic blood pressure <90 mmHg or diastolic blood pressure ≤60 mmHg, age ≥65 years) and CRB (confusion, respiratory rate ≥30/minute, systolic blood pressure <90 mmHg or diastolic blood pressure ≤60 mmHg) for mortality, hospitalisation and ICU admission in patients with pneumonia in the emergency department (ED).

Methods

Retrospective analyses of published data on adult patients with pneumonia presenting between January 2012 and May 2014 were undertaken. The prevalence of 28-day mortality, hospitalisation and ICU admission were compared with regard to qSOFA, CRB and CRB-65 scores. The performance of these three systems for predicting outcomes was compared.

Results

Of 1641 patients, 861 (53 %) were hospitalised (38 % in a general ward, 15 % in the ICU), and the remaining 780 (47 %) were treated as outpatients or were observed in the ED. Within 28 days, 547 (33 %) of 1641 patients died. CRB-65, CRB and qSOFA scores of patients who died, were hospitalised and admitted to the ICU than those who survived and were not hospitalised or admitted to the ICU (P < 0.001). AUC values of qSOFA for prediction of 28-day mortality, hospitalisation and ICU admission were similar to those for CRB-65 and CRB. Patients with qSOFA scores of 0, 1, 2 and 3 were associated with, respectively, mortality of 16.3 %, 24.4 %, 48.2 % and 68.4 %; prevalence of hospitalisation of 37.2 %, 47.4 %, 61.6 % and 73.7 %; and prevalence of ICU admission of 9.3 %, 9.1 %, 22.4 % and 45.3 %. Patients with qSOFA scores of 2 and 3 had a significantly higher prevalence of mortality and ICU admission than patients with identical CRB-65 scores.

Conclusions

qSOFA is better than CRB-65 for identification of a high risk of mortality and requirement of ICU admission.

Advances in the prevention, management, and treatment of community-acquired pneumonia

Community-acquired pneumonia (CAP) is the infectious disease with the highest number of deaths worldwide. Nevertheless, its importance is often underestimated. Large cohorts of patients with CAP have been established worldwide and improved our knowledge about CAP by far. Therefore, current guidelines are much more evidence-based than ever before. This article discusses recent major studies and concepts on CAP such as the role of biomarkers, appropriate risk stratification to identify patients in need of hospitalisation or intensive care, appropriate empiric antibiotic therapy (including the impact of macrolide combination therapy and antibiotic stewardship), and CAP prevention with novel influenza and pneumococcal vaccines.

Biomarkers for predicting short-term mortality in community-acquired pneumonia: A systematic review and meta-analysis

OBJECTIVES

The pneumonia severity index and CURB-65 are risk assessment tools widely used in community-acquired pneumonia (CAP). However, limitations in these prognostic scores have led to increasing interest in finding biomarkers that might provide additional information. To date, the role of these biomarkers has not been fully elucidated.

METHODS

We systematically searched the Medline, Web of Knowledge, Science Direct, and LILACS databases. We included studies that assessed the accuracy of biomarkers for the prediction of in-hospital or ≤30-day mortality, in hospitalized adults with CAP. Two independent investigators extracted patient and study characteristics, which were thereafter pooled using a random effects model. Relationships between sensitivity and specificity of biomarkers and prognostic scores were plotter using the area under the receiver operator characteristic curve (AUC).

RESULTS

We included 24 articles and 2 databases from 1069 reviewed abstracts, which provided 10,319 patients for analysis. Reported mortality rates varied from 2.4% to 34.6%. The highest AUC values for predicting mortality were associated with pro-adrenomedullin (0.80) and prohormone forms of atrial natriuretic peptide (0.79), followed by cortisol (0.78), procalcitonin (0.75), copeptin (0.71), and C-reactive protein (0.62). There were no statistically significant differences between the AUCs of the studied biomarkers, other than for copeptin and C-reactive protein, which performed comparatively poorly. When compared with the CAP-specific scores, the AUCs were not significantly different from those of most biomarkers.

CONCLUSIONS

The identified biomarkers are able to predict mortality with moderate to good accuracy in CAP. However, biomarkers have no clear advantage over CAP-specific scores for predicting mortality.

High evening salivary cortisol is an independent predictor of increased mortality risk in patients with systolic heart failure

AIMS

Serum cortisol independently predicts mortality risk in patients with systolic heart failure. Salivary cortisol may provide advantages as it better reflects the biologically active free compound. Furthermore, sampling is non-invasive and may easily be performed in outpatients. We comparatively evaluated associations of morning (MSC) vs. evening salivary cortisol (ESC) and all-cause mortality risk.

METHODS AND RESULTS

MSC (8 am) and ESC (9 pm) were determined in 229 patients with heart failure participating in the Interdisciplinary Network for Heart Failure program (66 ± 13 years; 21% female; 37% New York Heart Association (NYHA) class III/IV, median left ventricular ejection fraction 33%). The association of cortisol with mortality risk was determined by univariate and Cox multivariable regression analyses adjusting for age, sex, NYHA class, and N-terminal pro-hormone B-type natriuretic peptide. Compared to ESC, MSC was significantly higher and exhibited a higher variance: median 0.59 ng/ml (interquartile range 0.41-0.93) vs. 0.25 ng/ml (0.15-0.48), p<0.001. During 18 months of follow-up, 25 (11%) patients died. In univariate and multivariable models mortality risk was not increased in the highest MSC quartile: crude hazard ratio (HR) 1.81 (95% confidence interval 0.79-4.14, p=0.160), adjusted HR 1.26 (0.51-3.13, p=0.616). However, patients in the highest ESC quartile had a significantly increased mortality risk, suggesting that associations of high ESC and increased mortality were independent of disease severity: crude HR 3.33 (1.50-7.42, p=0.003), adjusted HR 2.49 (1.01-6.14, p=0.047). ESC alone proved the best predictor of mortality.

CONCLUSION

High ESC but not MSC levels independently predict increased mortality risk in heart failure.

Systematic review regarding metabolic profiling for improved pathophysiological understanding of disease and outcome prediction in respiratory infections

Metabolic profiling through targeted quantification of a predefined subset of metabolites, performed by mass spectrometric analytical techniques, allows detailed investigation of biological pathways and thus may provide information about the interaction of different organic systems, ultimately improving understanding of disease risk and prognosis in a variety of diseases. Early risk assessment, in turn, may improve patient management in regard to cite-of-care decisions and treatment modalities. Within this review, we focus on the potential of metabolic profiling to improve our pathophysiological understanding of disease and management of patients. We focus thereby on lower respiratory tract infections (LRTI) including community-acquired pneumonia (CAP) and chronic obstructive pulmonary disease (COPD), an important disease responsible for high mortality, morbidity and costs worldwide. Observational data from numerous clinical and experimental studies have provided convincing data linking metabolic blood biomarkers such as lactate, glucose or cortisol to patient outcomes. Also, identified through metabolomic studies, novel innovative metabolic markers such as steroid hormones, biogenic amines, members of the oxidative status, sphingo- and glycerophospholipids, and trimethylamine-N-oxide (TMAO) have shown promising results. Since many uncertainties remain in predicting mortality in these patients, further prospective and retrospective observational studies are needed to uncover metabolic pathways responsible for mortality associated with LRTI. Improved understanding of outcome-specific metabolite signatures in LRTIs may optimize patient management strategies, provide potential new targets for future individual therapy, and thereby improve patients' chances for survival.

Evaluation and significance of C-reactive protein in the clinical diagnosis of severe pneumonia

Severe pneumonia is a major cause of mortality in children. The present study evaluated the diagnostic value of serum C-reactive protein (CRP) levels for cases of severe pneumonia. A total of 862 children, hospitalized for acute respiratory tract infections, were evaluated between September 2008 and February 2011; the serum levels of CRP were measured in all the children. Bacterial identification was performed, while polymerase chain reaction was used to detect the 12 respiratory viruses. Multivariate logistic regression analysis was performed with independent [CRP, proportion of neutrophils (NEUT), body temperature, sputum production, age and dyspnea] and dependent (severe and mild pneumonia) variables for clinical diagnosis, which produced three new variables that represented an individual's predictive value: Pre-1, Pre-2 and Pre-3. A receiver operating characteristic (ROC) curve was generated using the new variables to assess their predictive value for severe pneumonia. Of the 862 patients, 108 individuals were diagnosed with severe pneumonia and 754 individuals had mild pneumonia. Increased levels of CRP were associated with severe pneumonia and bacterial infection (P<0.05). Multivariate logistic regression analysis found that severe pneumonia was associated with the levels of CRP, body temperature, expectoration, age, NEUT and dyspnea (P<0.05). The ROC curve of the regression diagnostics model sequentially presented CRP, CRP and the other five correlative variables (NEUT + body temperature + sputum production + age + dyspnea) and the other five correlative variables used to diagnose severe pneumonia. The area under curve values were determined as 0.550 for Pre-1 [95% confidence interval (CI), 0.490-0.609], 0.897 for Pre-2 (95% CI, 0.861-0.932) and 0.893 for Pre-3 (95% CI, 0.855-0.931). The results revealed that the six correlative variables had improved accuracy in the diagnosis of severe pneumonia. The serum levels of CRP were strongly associated with bacterial infection and severe pneumonia. Therefore, the CRP level, along with other parameters, may be used as early indicators of severe pneumonia development. However, the efficiency of the CRP level alone to diagnose severe pneumonia was found to be limited.

Recent advances in our understanding of Streptococcus pneumoniae infection

A number of significant challenges remain with regard to the diagnosis, treatment, and prevention of infections with Streptococcus pneumoniae (pneumococcus), which remains the most common bacterial cause of community-acquired pneumonia. Although this infection is documented to be extremely common in younger children and in older adults, the burden of pneumonia it causes is considerably underestimated, since the incidence statistics are derived largely from bacteremic infections, because they are easy to document, and yet the greater burden of pneumococcal pneumonias is non-invasive. It has been estimated that for every bacteremic pneumonia that is documented, three non-bacteremic infections occur. Management of these infections is potentially complicated by the increasing resistance of the isolates to the commonly used antibiotics. Furthermore, it is well recognized that despite advances in medical care, the mortality of bacteremic pneumococcal pneumonia has remained largely unchanged over the past 50 years and averages approximately 12%. Much recent research interest in the field of pneumococcal infections has focused on important virulence factors of the organism, on improved diagnostic and prognostication tools, on defining risk factors for death, on optimal treatment strategies involving both antibiotics and adjunctive therapies, and on disease prevention. It is hoped that through these endeavors the outlook of pneumococcal infections will be improved.

Prediction of prognosis by markers in community-acquired pneumonia

Early identification of patients with community-acquired pneumonia (CAP) at risk of poor outcome is critical for defining site of care and may impact on hospital resource consumption and prognosis. The Pneumonia Severity Index and CURB-65 are clinical rules that accurately identify individuals at risk of death. However, these scores have some limitations. Therefore in recent years, increasing attention has been being paid to research on biomarkers, since they have the potential to resolve fundamental issues regarding prognostic prediction that cannot be readily addressed using CAP-specific scores. Nevertheless, the use of biomarkers in this context needs to be validated in prospective trials so as to elucidate how they can best be applied in practice. This review examines the usefulness of biomarkers, whether used alone or in conjunction with other clinical severity of illness scores, for identifying CAP patients at risk of short- and long-term mortality and for predicting both the need for intensive care unit admission and the potential for treatment failure.

Major advances in managing community-acquired pneumonia

This article is a non-systematic review of selected recent publications in community-acquired pneumonia, including a comparison of various guidelines. Risk stratification of patients has recently been advanced by the addition of several useful biomarkers. The issue of single versus dual antibiotic treatment remains controversial and awaits a conclusive randomized controlled trial. However, in the meantime, there is a working consensus that more severe patients should receive dual therapy.

Hospital admission decision for patients with community-acquired pneumonia

Where to treat patients is probably the single most important decision in the management of community-acquired pneumonia (CAP), with a substantial impact on both patients' outcomes and health-care costs. Several factors can contribute to the decision of the site of care for CAP patients, including physicians' experience and clinical judgment and severity scores developed to predict mortality, as well as social and health-care-related issues. The recognition, both in the community and in the emergency department, of the presence of severe sepsis and acute respiratory failure and the coexistence with unstable comorbidities other than CAP are indications for hospital admission. In all the other cases, physician's choice to admit CAP patients should be validated against at least one objective tool of risk assessment, with a clear understanding of each score's limitations.

Development of a prognostic score using the complete blood cell count for survival prediction in unselected critically ill patients

Objective. The purpose of this study was to develop a new prognostic scoring system for critically ill patients using the simple complete blood cell count (CBC). Methods. CBC measurements in samples from 306 patients in an intensive care unit were conducted with automated analyzers, including levels of neutrophils, lymphocytes, erythrocytes, hemoglobin, and platelets. The time of sampling and the time of death were recorded. Z values were calculated according to the measured values, reference mean values, and standard deviations. The prognostic score was equivalent to the median of the Z value of each of the measured parameters. Results. There was a significant correlation between survival time and neutrophil, lymphocyte, and platelet levels (P < 0.05). Prognostic scores were calculated from the Z value of these three parameters. Survival times decreased as the prognostic score increased. Conclusions. This study suggests that a model that uses levels of neutrophils, lymphocytes, and platelets is potentially useful in the objective evaluation of survival time or disease severity in unselected critically ill patients.

New markers in pneumonia

Pneumonia is one of the most common causes of death from infectious diseases worldwide, and the most common fatal infection acquired in hospitals. Despite advances in prevention strategies, such as antibiotic therapies and intensive care, significant improvement in the mortality rate is still lacking. This high mortality is largely due to the limitations in current clinical practices and laboratory tests, which delay the timing of adequate antibiotic therapy. In recent years, many indicators (biomarkers) are present in scenarios where infectious pathogens invade into the body. These biomarkers, as reflected in specific biological responses to infections, have been reported to demonstrate the ability to facilitate the diagnosis, risk stratification, and management of pneumonia. This review provides a schematic overview of these new potential biomarkers based on the categories of (1) microorganisms and their derivatives, (2) inflammation mediators, (3) inflammation response proteins, and (4) stress-sensing proteins. In addition, approaches to identifying new biomarkers are also briefly introduced. Although no current biomarker can solely achieve a definitive diagnosis, many of them can be complemented, rather than replaced outright, in routine clinical practices to improve decision-making processes regarding pneumonia.