Comparison of pneumonia severity scores for COVID-19 patients with the Omicron variant.

INTRODUCTION: We demonstrated that there was a significant relationship between the severity measured using the A-DROP scoring system and the mortality rate in patients with COVID-19 community-acquired pneumonia (CAP) in the ancestral strain, Alpha variant, and Delta variant. We investigated the usefulness of the A-DROP scoring system in SARS-CoV-2 Omicron variant CAP and compared it with severity scores, the Pneumonia Severity Index (PSI) and CURB-65 score. METHODS: We analyzed a total of 547 patients with COVID-19 CAP Omicron variant; 198 cases were the BA.1 subvariant, 127 cases were the BA.2 subvariant, and 222 cases were the BA.5 subvariant, respectively. RESULTS: The mortality rates in patients with COVID-19 CAP among the three Omicron subvariants were identical in each pneumonia severity group. The mortality rate in patients with the Omicron variant was 0 % in patients classified with mild disease, 0.6 % in those with moderate disease, 10.4 % in those with severe disease, and 34.8 % in those with extremely severe disease. The mortality rate in patients with COVID-19 CAP increased depending on the severity classified according to the A-DROP system in each of the Omicron subvariants (Cochran-Armitage trend test; p < 0.001). The values of the area under the curve in Receiver Operating Characteristic analysis for prediction of 30-day mortality was 0.881, 0.879, and 0.863 for A-DROP, PSI, and CURB-65, respectively. There were no significant differences in the predictive ability of each pneumonia severity score. CONCLUSIONS: Our results demonstrated that the A-DROP scoring system is useful for predicting mortality in patients with COVID-19 CAP.

Assessment of the pneumonia severity score in community-acquired and nursing and healthcare-associated pneumonia due to COVID-19.

INTRODUCTION: The Japanese Respiratory Society (JRS) pneumonia guidelines recommend simple predictive rules, the A-DROP scoring system, for assessment of the severity of community-acquired pneumonia (CAP) and nursing and healthcare-associated pneumonia (NHCAP). We evaluated whether the A-DROP system can be adapted for assessment of the severity of coronavirus disease 2019 (COVID-19) pneumonia. METHODS: Data from 1141 patients with COVID-19 pneumonia were analyzed, comprising 502 patients observed in the 1st to 3rd wave period, 338 patients in the 4th wave and 301 patients in the 5th wave in Japan. RESULTS: The mortality rate and mechanical ventilation rate were 0% and 1.4% in patients classified with mild disease (A-DROP score, 0 point), 3.2% and 46.7% in those with moderate disease (1 or 2 points), 20.8% and 78.3% with severe disease (3 points), and 55.0% and 100% with extremely severe disease (4 or 5 points), indicating an increase in the mortality and mechanical ventilation rates in accordance with severity (Cochran-Armitage trend test; p = <0.001). This significant relationship between the severity in the A-DROP scoring system and either the mortality rate or mechanical ventilation rate was observed in patients with COVID-19 CAP and NHCAP. In each of the five COVID-19 waves, the same significant relationship was observed. CONCLUSIONS: The mortality rate and mechanical ventilation rate in patients with COVID-19 pneumonia increased depending on severity classified according to the A-DROP scoring system. Our results suggest that the A-DROP scoring system can be adapted for the assessment of severity of COVID-19 CAP and NHCAP.

Clinical Features of the 60 Years and Older Patients Infected with 2019 Novel Coronavirus: Can We Predict Mortality Earlier?

INTRODUCTION: The novel coronavirus (COVID-19), which has affected over 100 countries in a short while, progresses more mortally in elderly patients with comorbidities. In this study, we examined the epidemiological, clinical, and laboratory characteristics of the patients aged 60 and over who had been infected with COVID-19. METHODS: The data of the patients admitted to the hospital within 1 month from May 8, 2020 onwards and hospitalized for COVID-19 pneumonia were obtained from the hospital medical records, and the epidemiological, clinical, and laboratory parameters of the patients during the admission to the emergency department were examined. Patients were divided into 2 groups regarding the criteria of having in-hospital mortality (mortality group) and being discharged with full recovery (survivor group). The factors, which could have an impact on the mortality, were investigated using a univariate and multivariate logistic regression analysis. RESULTS: This retrospective study included 113 patients aged 60 years and older, with a confirmed diagnosis of COVID-19 pneumonia. The mean age of the patients was 70.7 ± 7.9, and 64.6% (n = 73) of them were male. The mortality rate was 19.4% (n = 22). Among the comorbid illnesses, only renal failure was significant in the mortality group (p = 0.04). A CURB-65score ≥3 or pneumonia severity index (PSI) class ≥4 manifested a remarkable discrimination ability to predict 30-day mortality (p < 0.001). When the laboratory parameters were considered, the value of neutrophil to lymphocyte ratio (NLR) was significant in predicting mortality in univariate and multivariate analysis (odds ratio [OR] = 1.11; 95% confidence interval [95% CI], 1.03-1.21; p = 0.006, and OR = 1.51; 95% CI, 1.11-2.39; p = 0.044, respectively). CONCLUSION: In our study, NLR was determined to be an independent marker to predict in-hospital mortality among patients with COVID-19. PSI and CURB-65 revealed a considerably precise prognostic accuracy for the patients with COVID-19 in our study as well. Moreover, thanks to that NLR results in a very short time, it can enable the clinician to predict mortality before the scoring systems are calculated and hasten the management of the patients in the chaotic environment of the emergency room.

Comparison of pneumonia severity scores for patients diagnosed with pneumonia in emergency department.

BACKGROUND & OBJECTIVES: : Sepsis due to pneumonia or pneumonia itself is one of the main causes of deaths in patients despite the advanced treatment methods. The optimal prognostic tool in pneumonia is still not clear. This study was aimed to compare the pneumonia severity scores and the possibility of using the new scores in patients who were diagnosed with pneumonia in the emergency department. METHODS: : Demographic data, laboratory and imaging results, confusion, elevated blood urea nitrogen, respiratory rate and blood pressure plus age ≥65 yr (CURB-65), pneumonia severity index (PSI), national early warning score (NEWS), NEWS-lactate (NEWS-L) scores, hospitalization, referral, discharge and 30-day mortality of patients who were diagnosed with pneumonia in emergency department were recorded. RESULTS: : A total of 250 patients were included in the study. The most successful score in predicted mortality was found to be NEWS-L. This was followed by NEWS, CURB-65 and PSI, respectively. Most successful scores in anticipation of admission to the intensive care unit were NEWS-L followed by NEWS. This was followed by CURB-65 and PSI scores, respectively. The most successful score in anticipation of hospital admission was NEWS-L, followed by NEWS, CURB-65 and PSI, respectively. There was a significant difference between all pneumonia severity scores of the patients who died and survived within 30 days. There was a significant difference between the scores of patients in intensive care unit (ICU) and service, compared to non-ICU patients. INTERPRETATION & CONCLUSIONS: : NEWS-L score was found to be the most successful score in predicting mortality, ICU admission and hospitalization requirement. Both NEWS-L and NEWS scores can be used in determining the mortality, need for hospitalization and intensive care of the patients with pneumonia in the emergency department.

Procalcitonin is not an independent predictor of 30-day mortality, albeit predicts pneumonia severity in patients with pneumonia acquired outside the hospital.

BACKGROUND: Procalcitonin (PCT) is a useful marker for pneumonia. However, its clinical usefulness in elderly patients has not been studied extensively. This study aimed to assess the relationship between PCT and prognosis and pneumonia severity in elderly patients with pneumonia acquired outside the hospital. METHODS: Data considered relevant to pneumonia severity and prognosis were retrospectively obtained from clinical charts of all patients with pneumonia who were admitted to our hospital from 2010 to 2017. The primary outcome was 30-day mortality in elderly patients (aged ≥75 years), and the relationship between PCT levels and pneumonia severity, as determined by the pneumonia severity index (PSI) was also examined. RESULTS: Data were collected from 667 patients, of which 436 were elderly patients. Multivariate and receiver operating characteristic curve analysis revealed that albumin, body mass index, and PSI class rather than PCT are important factors related to 30-day mortality in elderly patients. PCT was also not an independent prognostic factor in younger patients. PCT levels significantly differed by pneumonia severity (mild, moderate, and severe) in both younger (p < 0.001) and elderly (p < 0.0001) patients, with levels increasing as severity increased. In contrast, C-reactive protein (CRP) levels and white blood cell counts did not significantly differ by pneumonia severity in younger and elderly patients. A subgroup analysis focused on Streptococcus pneumoniae pneumonia revealed that PCT levels differed by severity in elderly patients (p = 0.03), with levels increasing as severity increased. CONCLUSION: PCT was not an independent predictor of 30-day mortality in both of elderly and younger patients. PCT levels, but not CRP levels, significantly increased with increasing pneumonia severity in younger and elderly patients, although the degree of increase tended to be lower in elderly patients compared to younger patients for the same severity. PCT levels also significantly increased with increasing pneumonia severity in elderly patients with Streptococcus pneumoniae pneumonia.

Comprehensive analysis of prognostic factors in hospitalized patients with pneumonia occurring outside hospital: Serum albumin is not less important than pneumonia severity assessment scale.

PURPOSE: This study aimed to elucidate factors related to 30-day mortality of pneumonia occurring outside hospital by comprehensively analyzing data considered relevant to prognosis. METHODS: Data considered relevant to prognosis were retrospectively examined from clinical charts and chest X-ray images of all patients with pneumonia occurring outside hospital admitted to our hospital from 2010 to 2016. The primary outcome was 30-day mortality. RESULTS: Data were collected from 534 patients (317 community-acquired pneumonia and 217 nursing- and healthcare associated pneumonia patients; 338 men (63.3%); mean age, 76.2 years-old). Eighty-three patients (9.9%) died from pneumonia within 30 days from the date of admission. The numbers of patients with pneumonia severity index (PSI) classes of I/II/III/IV/V and age, dehydration, respiratory failure, orientation disturbance, pressure (A-DROP) scores of 0/1/2/3/4/5 were 29/66/127/229/83, and 71/107/187/132/30/7, respectively. Mean (standard deviation) body mass index (BMI), serum albumin, blood procalcitonin, white blood cell and C-reactive protein were 20.00 (4.12) kg/m2, 3.16 (0.60) g/dL, 3.69 (13.15) ng/mL, 11559.4 (5656.9)/mm3, and 10.92 (8.75) mg/dL, respectively. Chest X-ray images from 152 patients exhibited a pneumonia shadow over a quarter of total lung field. Logistic regression analysis revealed that PSI class or A-DROP score, BMI, serum albumin, and extent of pneumonia shadow were related to 30-day mortality. Receiver operating characteristics curve analysis revealed that serum albumin was superior to PSI class or A-DROP score for predicting 30-day mortality. CONCLUSION: Serum albumin is not less important than PSI class or A-DROP score for predicting 30-day mortality in hospitalized patients with pneumonia occurring outside hospital.

Risk stratification and prediction value of procalcitonin and clinical severity scores for community-acquired pneumonia in ED.

OBJECTIVE: Community-acquired pneumonia (CAP) is a common presentation to the emergency department (ED) and has high mortality rates. The aim of our study is to investigate the risk stratification and prognostic prediction value of precalcitonin (PCT) and clinical severity scores on patients with CAP in ED. METHODS: 226 consecutive adult patients with CAP admitted in ED of a tertiary teaching hospital were enrolled. Demographic information and clinical parameters including PCT levels were analyzed. CURB65, PSI, SOFA and qSOFA scores were calculated and compared between the severe CAP (SCAP) and non-severe CAP (NSCAP) group or the death and survival group. Receiver-operating characteristic (ROC) curves for 28-day mortality were calculated for each predictor using cut-off values. Logistic regression models and area under the curve (AUC) analysis were performed to compare the performance of predictors. RESULTS: Fifty-one patients were classified as SCAP and forty-nine patients died within 28days. There was significant difference between either SCAP and NSCAP group or death and survival group in PCT level and CURB65, PSI, SOFA, qSOFA scores (p < 0.001). The AUCs of the PCT and CURB65, PSI, SOFA and qSOFA in predicting SCAP were 0.875, 0.805, 0.810, 0.852 and 0.724, respectively. PCT is superior in predicting SCAP and the models combining PCT and SOFA demonstrated superior performance to those of PCT or the CAP severity score alone. The AUCs of the PCT and CURB65, PSI, SOFA and qSOFA in predicting 28-day mortality were 0.822, 0.829, 0.813, 0.913 and 0.717, respectively. SOFA achieved the highest AUC and the combination of PCT and SOFA had the highest superiority over other combinations in predicting 28-day mortality. CONCLUSION: Serum PCT is a valuable single predictor for SCAP. SOFA is superior in prediction of 28-day mortality. Combination of PCT and SOFA could improve the performance of single predictors. More further studies with larger sample size are warranted to validate our results.

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.

Utility of Plasma Osteopontin Levels in Management of Community-Acquired Pneumonia.

Osteopontin (OPN) is an essential cytokine involved in immune cell recruitment and an important regulator of inflammation. The purpose of this study was to examine differences in OPN plasma levels between before and after antibiotic treatment in hospitalized adult patients with community-acquired pneumonia (CAP). OPN levels were measured in 93 patients with CAP and 54 healthy controls using a commercial enzyme-linked immunosorbent assay (ELISA). The CURB-65, Pneumonia Severity Index (PSI), and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores were used to determine the CAP severity in patients upon initial hospitalization. A decline in the number of white blood cells (WBCs) and neutrophils, and decreases in the levels of OPN and C-reactive protein (CRP) were observed after antibiotic treatment. Only the plasma level of OPN, but not CRP, was correlated with the severity of CAP based on the PSI (r = 0.514, p < 0.001), CURB-65 (r = 0.396, p < 0.001), and APACHE II scores (r = 0.473, p < 0.001). The OPN level also showed a significant correlation with the length of hospital stay (r = 0.210, p = 0.044). In conclusion, plasma level of OPN may act as diagnostic adjuvant biomarkers for CAP and further play a role in clinical assessment of the severity of CAP, which could potentially guide the development of treatment strategies.

A novel method for rapid detection of Streptococcus pneumoniae antigens in blood.

In this study, we used "RAPIRUN(®)Streptococcus pneumoniae HS (otitis media/sinusitis) (RAPIRUN-HS)," a rapid S. pneumoniae antigen detection kit, to investigate methods for detecting S. pneumoniae antigens in blood of 32 bacterial pneumonia patients. We simultaneously performed PCR to detect S. pneumoniae in blood samples. The results of these tests were compared based on pneumonia severity, determined using the Pneumonia Severity Index (PSI) score classification. Four S. pneumoniae PCR-positive patients of the six severe pneumococcal pneumonia patients (PSI risk class IV/V) also tested positive using RAPIRUN-HS. Twenty-four mild to moderate pneumonia patients (PSI risk class I-III) were S. pneumoniae PCR-negative; of these, 21 tested negative using RAPIRUN-HS. The pneumococcal pneumonia patients testing positive using RAPIRUN-HS had low leukocyte counts and elevated C-reactive protein and procalcitonin levels, indicating that RAPIRUN-HS results were correlated with pneumonia severity. The time course evaluations of the laboratory tests for severe pneumococcal pneumonia patients showed that RAPIRUN-HS and S. pneumoniae PCR yielded positive results earlier than the changes in procalcitonin and IL-6. Thus, concomitant pneumococcal bacteremia was strongly suspected in patients testing positive using RAPIRUN-HS. In conclusion, RAPIRUN-HS may be useful for determining whether to admit patients into hospitals and selecting the appropriate antimicrobial agents.

Presence of an Alcohol Use Disorder is Associated with Greater Pneumonia Severity in Hospitalized HIV-Infected Patients.

PURPOSE: Pneumonia is common and more severe in human immunodeficiency virus (HIV)-infected patients. Alcohol consumption in pneumonia patients without HIV is associated with excess mortality and morbidity. However, studies are lacking on the impact of alcohol on pneumonia and HIV. Our goal was to determine if alcohol use was an independent risk factor for pneumonia severity in HIV-infected patients. METHODS: Secondary analysis of prospective cohort study data evaluating early bronchoscopy for pneumonia diagnosis in HIV patients between 2007 and 2011 was conducted. We defined AUDs using an alcohol use disorder identification test (AUDIT) score as follows: ≥8 indicates hazardous drinking and ≥14 indicates dependence. We quantified pneumonia severity using the pneumonia severity index (PSI). Multivariable linear regression was used to investigate the independent association between alcohol and pneumonia severity. RESULTS: A total of 196 HIV+ individuals comprised our cohort. Most cohort subjects were middle-aged African American men. Most subjects (70 %) reported not taking antiretroviral therapy. The overall prevalence of hazardous drinking was 24 % in our cohort (48/196) with 10 % (19/196) meeting the criteria for alcohol dependence. Alcohol consumption was significantly associated with pneumonia severity (r = 0.25, p < 0.001). Hazardous drinking (ß-coefficient 10.12, 95 % CI 2.95-17.29, p = 0.006) and alcohol dependence (ß-coefficient 12.89, 95 % CI 2.59-23.18, p = 0.014) were independent risk factors for pneumonia severity. Reported homelessness and men who have sex with men (MSM) status remained independent risk factors for more severe pneumonia after adjustment for the effects of alcohol. CONCLUSIONS: In a cohort of HIV patients with pneumonia, presence of an AUD was an independent risk factor for pneumonia severity. Homelessness and MSM status were associated with greater pneumonia severity in AUD patients.

The Roles of the Charlson Comorbidity Index and Time to First Antibiotic Dose as Predictors of Outcome in Pneumococcal Community-Acquired Pneumonia.

PURPOSE: In this retrospective study, we aimed to investigate the role of comorbidities using the Charlson comorbidity index (CCI) and time to first antibiotic dose (TFAD) in patients with pneumococcal community-acquired pneumonia (PCAP). METHODS: All consecutive ER admissions with PCAP who were hospitalized in the University Hospital, Zurich between 2006 and 2012 were included. The primary outcome was to determine possible determinants of all-cause in-hospital mortality (ACIHM). The second endpoint was to detect risk factors for adverse events (AEs) and determinants of length of stay (LOS). RESULTS: 108 subjects (mean age 57.6 years) were included. The median (IQR) CCI was 4 (1, 8). The median (IQR) TFAD was 210 (150, 280) min. ACIHM was 6.5 % (7/108), and median (IQR) LOS was 9 (6, 14) days. PCAP-related AEs were observed in 57 cases (52.8 %). In the multivariable analysis, neither CCI nor TFAD was associated with the outcome measures. Pneumonia severity index (PSI) was the only statistically significant predictor of ACIHM (HR 1.31/10 point increase, 95 % CI 1.12-1.53, p = 0.001) and AE rate (OR 1.31, 95 % CI 1.15-1.50, p < 0.001). CONCLUSIONS: In this study including comparatively young patients with rather mild disease severity, we found no strong evidence supporting that CCI or TFAD influenced short-term outcome measures of PCAP. Yet, pneumonia severity appears to be the most important factor for the outcome.

Selection of empirical antibiotics for health care-associated pneumonia via integration of pneumonia severity index and risk factors of drug-resistant pathogens.

BACKGROUND/PURPOSE: The pneumonia severity index (PSI) both contains some risk factors of drug-resistant pathogens (DRPs) and represents the severity of health care-associated pneumonia. The aim of this study was to investigate whether the PSI could be used to predict DRPs and whether there were risk factors beyond the PSI. METHODS: A retrospective observational study enrolled 530 patients with health care-associated pneumonia who were admitted from January 2005 to December 2010 in a tertiary care hospital. RESULTS: A total of 206 patients (38.9%) had DRPs, of which the most common was Pseudomonas aeruginosa (24.3%). The incidence of DRPs increased with increasing PSI classes (6.7%, 25.5%, 36.9%, and 44.6% in PSI II, III, IV, and V, respectively). An analysis of the risk factors for DRPs by PSI classes revealed that wound care was associated with methicillin-resistant Staphylococcus aureus (MRSA) infection in PSI V (p = 0.045). Nasogastric tube feeding (odds ratio, 3.88; 95% confidence interval, 1.75-8.60; p = 0.006), and bronchiectasis (odds ratio, 3.12; 95% confidence interval, 0.66-14.69; p = 0.007) were risk factors for DRPs in PSI III and IV. The area under the receiver operating characteristic curve progressed from 0.578 to 0.651 while integrating these risk factors with PSI classes. CONCLUSION: The findings suggested that PSI plus risk factors predicted the risk of DRPs. PSI II had a low risk of DRPs and could be treated as community-acquired pneumonia. Antibiotics of PSI III and IV with risk factors could be targeted DRPs. PSI V with wound care had a higher risk of MRSA, and empirical anti-MRSA antibiotics could be added.

Plasma Monocyte Chemoattractant Protein-1 Level as a Predictor of the Severity of Community-Acquired Pneumonia.

Monocyte chemoattractant protein (MCP)-1 increases in the serum of immunocompetent patients with community-acquired pneumonia (CAP). However, the correlation between the circulating level of MCP-1 and severity of CAP remains unclear. This study investigated differential changes in the plasma MCP-1 levels of patients with CAP before and after an antibiotic treatment and further analyzes the association between the CAP severity and MCP-1 levels. We measured the plasma MCP-1 levels of 137 patients with CAP and 74 healthy controls by using a commercial enzyme-linked immunosorbent assay. Upon initial hospitalization, Acute Physiology and Chronic Health Evaluation II (APACHE II); confusion, urea level, respiratory rate, blood pressure, and age of >64 years (CURB-65); and pneumonia severity index (PSI) scores were determined for assessing the CAP severity in these patients. The antibiotic treatment reduced the number of white blood cells (WBCs) and neutrophils as well as the level of C-reactive protein (CRP) and MCP-1. The plasma MCP-1 level, but not the CRP level or WBC count, correlated with the CAP severity according to the PSI (r = 0.509, p < 0.001), CURB-65 (r = 0.468, p < 0.001), and APACHE II (r = 0.360, p < 0.001) scores. We concluded that MCP-1 levels act in the development of CAP and are involved in the severity of CAP.

Can N-terminal pro B-type natriuretic peptide, neutrophil-to-lymphocyte ratio, C-reactive protein help to predict short and long term mortality?

BACKGROUND: There is limited data about ICU, short and long-term mortality prediction of severe CAP with neutrophil-to-lymphocyte ratio (NLR): N-terminal proB- type natriuretic peptide (NT-proBNP): C-reactive protein (CRP). AIM: Besides the known severity indexes of ICU, can NLR, NT-proBNP, CRP predict ICU, short and long term mortality? METHODS: A retrospective cohort study was carried out in a level III ICU of a tertiary training hospital for chest diseases and thoracic surgery. RESULTS: Over the study period, a total of 143 patients were enrolled in the study. The APACHE II scoring showed a significantly higher predicting performance for ICU mortality (p = 0.002). The performance for predicting short term mortality NLR (p = 0.039) and long term mortality NTproBNP (p = 0.002) had a significantly higher performance. The survival analysis revealed that mortality was significantly higher in patients with CURB65 score ≥ 4 (p = 0.047). CONCLUSION: NLR, NTproBNP > 2000pg/mL can be used to predict pneumonia severity in ICU alike CURB65 and PSI. Higher NLR, APACHE II and atrial fibrillation can cause an important mortality factor in long term. Consequently, clinicians should take an attention for good cardiac evaluation and cardiac follow-up of patients with CAP (Tab. 4, Fig. 3, Ref. 36).

Bacteremic pneumococcal pneumonia: clinical outcomes and preliminary results of inflammatory response.

PURPOSE: Further examination of clinical outcomes and inflammatory response of bacteremic pneumococcal community-acquired pneumonia (CAP) is of great interest to enhance the care of patients with pneumococcal CAP. METHODS: This is a secondary analysis of the Community Acquired Pneumonia Organization (CAPO) to compare the time to clinical stability (TCS), length of hospital stay (LOS), and in-hospital mortality of hospitalized pneumococcal CAP patients with and without bacteremia. To measure the effect of bacteremia in pneumococcal CAP patients on outcomes, we modeled all-cause in-hospital mortality using a Poisson regression model, and TCS and LOS using Cox proportional hazards models. Adjusted multivariate regression models were also used to predict the probability of occurrence of each of the study outcomes. To investigate the inflammatory response, we measured the plasma levels of pro- and anti-inflammatory cytokines [tumor necrosis factor (TNF)-α, interleukin (IL)-1rα, IL-6, IL-8, IL-10], inflammatory biomarkers [C-reactive protein (CRP), pro-calcitonin (PCT), and B-type natriuretic peptide (BNP)], and peripheral blood neutrophil responses in 10 patients, 4 bacteremic and 6 non-bacteremic pneumococcal CAP, upon admission and every other day during the first 6 days of hospitalization. Functional data were presented as median and standard error of the median (SEM); due to small number of samples no statistical comparisons were performed between groups. RESULTS: From 833 pneumococcal CAP patients, 394 patients (47 %) were bacteremic. Bacteremic pneumococcal CAP were less likely to reach TCS with an adjusted hazard ratio (AHR) of 0.82 (95 % CI 0.69-0.97; p = 0.02) and had higher in-hospital mortality with an AHR of 1.63 (95 % CI 1.06-2.50, p = 0.026). Bacteremic pneumococcal CAP patients had a longer LOS than non-bacteremic pneumococcal CAP (p < 0.003). Higher plasma levels of CRP, PCT, and BNP were found in bacteremic than in non-bacteremic patients. The bacteremic group had consistently higher plasma levels of both pro- and anti-inflammatory cytokines. The blood neutrophil functional responses were similar in both groups of patients. CONCLUSIONS: Bacteremic pneumococcal CAP patients were significantly associated with higher in-hospital mortality, lower TCS, and longer LOS. HIV-infected patients showed a greater mortality which was not statistically significant. Bacteremic pneumococcal CAP patients had higher levels of biomarkers and systemic cytokines.

Effect of age and residential status on the predictive performance of CURB-65 score.

BACKGROUND: The CURB-65 score was designed to predict 30-day mortality and decide the site of care of pneumonia. It is uncertain how age and residential status affect the accuracy of CURB-65 score in older patients. AIM: This study aimed to evaluate the effect of age and residential status on the performance of CURB-65 score in predicting 30-day all-cause mortality of pneumonia in older patients. METHODS: We used combined data from two prospective observational cohorts of adult patients with pneumonia. Older patients aged ≥ 65 years were analysed. RESULTS: Of 1644 patients, 1200 were living in the community and 464 residing in nursing homes. The 30-day mortality rates of community-acquired pneumonia (CAP) and nursing home-acquired pneumonia (NHAP) were 10.7% and 14.2% respectively. In each age group of CAP and NHAP, mortality increased with pneumonia severity. Mortality decreased with advancing age in NHAP, and the reverse was true for CAP. In NHAP but not CAP, the proportion of highly severe pneumonia (CURB-65 score ≥ 3) was lower in older patients. The overall predictive performance of CURB-65 score was comparable in CAP and NHAP. The accuracy deteriorated with advancing age in NHAP but not CAP. Using the cut-off score of ≥3 (highly severe pneumonia), the CURB-65 score achieved high negative predictive values (>90%) in CAP and NHAP. CONCLUSIONS: Advancing age adversely affected the predictive performance of CURB-65 score in NHAP but not CAP. The score was not helpful in guiding the site of care at admission in older patients with pneumonia.

Procalcitonin levels in community-acquired pneumonia - correlation with aetiology and severity.

We studied procalcitonin (PCT) levels at hospital admittance and their association with aetiology and severity in patients with community-acquired pneumonia (CAP). Median PCT concentrations were higher in bacteraemic patients than in those without bacteraemia (6.11 µg/L vs 0.34 µg/L, p = 0.0002), in patients with non-bacteraemic pneumococcal aetiology than in those infected with other classic bacteria (1.18 vs 0.18, p = 0.038), and in patients with pneumococcal as compared with viral aetiology (2.43 vs 0.24, p = 0.017). When aetiology, bacteraemia and severity according to the pneumonia severity index (PSI) were included in logistic regression analyses with PCT > 0.5 as a dependent variable, the odds ratio (OR) for non-bacteraemic pneumococcal aetiology was 5.7 (p = 0.008) and 3.0 ( p = 0.1) for PSI 4-5. A separate analysis for bacteraemia and PSI 4-5 showed an OR of 17.5 (p = 0.008) and 2.7 (p = 0.092), respectively. In CAP patients, high PCT seems to be a good marker for invasive disease and pneumococcal aetiology. As a predictor of severity it appears to be less important.

[Diagnostic and prognostic power of biomarkers to improve the management of community acquired pneumonia in the emergency department]. / Poder diagnóstico y pronóstico de los biomarcadores para mejorar el manejo de la neumonía adquirida en la comunidad en los servicios de urgencias.

OBJECTIVES: To analyse the usefulness and performance of several biomarkers [C-reactive protein (CRP), mid-regional pro-adrenomedullin (MR-proADM), procalcitonin (PCT)] and lactate in predicting short- and medium-term mortality compared with the prognostic severity scales (PSS) usually employed for community-acquired pneumonia (CAP) and in assessing the aetiological suspicion of infection by Streptococcus pneumoniae and bacteraemia. METHODS: Observational, prospective and analytical study was conducted on patients who were diagnosed with CAP in our emergency department (ED). The data collected included socio-demographic and comorbidity variables, Charlson index, priority level according to the Spanish Triage System (STS), stage in the Pneumonia Severity Index (PSI) and in the CURB-65 (confusion, urea, respiratory rate, blood pressure and age ≥65years), criteria of severe CAP, microbiological studies, and biomarkers determinations. The patients were followed-up for 180days to calculate the prognostic power and the diagnostic performance for bacteraemia and aetiology. RESULTS: A total of 127patients were finally enrolled in the study. The 30-day mortality was 10.3% (13), and 22.6% (28) at 180 days. Blood cultures were positive in 29 patients (23%) and S.pneumoniae was identified as the responsible pathogen in 28 cases (22.2%). The area under the ROC curve (AUC-ROC) for lactate and MR-proADM to predict 30-day mortality was 0.898 (95%CI: 0.824-0.973; P<.0001) and 0.892 (95%CI: 0.811-0.974; P<.0001), respectively, and for MR-proADM at 180 days it was 0.921 (95%CI: 0.874-0.968; P<.0001). The AUC-ROC for PCT to predict bacteraemia was 0.952 (95%CI: 0.898-1.000; P<.0001) and, considering a cut-off value ≥0.95ng/ml, the negative predictive value (NPV) and the likelihood ratio (LR+) were 97.8% and 9.03, respectively. Using a PCT cut-off value >0.85ng/ml, the NPV and the LR+ were 96.6% and 5.89%, respectively, to predict a S.pneumoniae infection. CONCLUSIONS: MR-proADM and lactate showed a similar or even better performance for 30-day intra-hospital mortality than PSI, CURB-65, STS and CAP severity criteria in patients diagnosed with CAP (P>.05). Furthermore, the MR-proADM capacity to predict 180-day mortality was higher than PSS and the rest of biomarkers (P>.05), and its AUC-ROC increased if it was used in combination with PSI, CURB65 and STS. The determination of PCT has a remarkable diagnostic performance to rule out bacteraemia and to orientate the aetiology towards a S.pneumoniae infection.