Pneumonia presenting with organ dysfunctions: Causative microorganisms, host factors and outcome.

Community-acquired pneumonia (CAP) is a serious infection that may occasionally rapidly evolve provoking organ dysfunctions. We aimed to characterize CAP presenting with organ dysfunctions at the emergency room, with regard to host factors and causative microorganisms, and its impact on 30-day mortality. 460 of 4070 (11.3%) CAP patients had ≥2 dysfunctions at diagnosis, with a 30-day mortality of 12.4% vs. 3.4% in those with one or no dysfunctions. Among them, the most frequent causative microorganisms were Streptococcus pneumoniae, gram-negatives and polymicrobial etiology. Independent host risk factors for presenting with ≥2 dysfunctions were: liver (OR 2.97) and renal diseases (OR 3.91), neurological disorders (OR 1.86), and COPD (OR 1.30). Methicillin-resistant Staphylococcus aureus (OR 6.41) and bacteraemic episodes (OR 1.68) had the higher independent risk among microorganisms. The number of organ dysfunctions vs. none increased at 30-day mortality: three organs (OR 11.73), two organs (OR 4.29), and one organ (OR 2.42) whereas Enterobacteria (OR 3.73) were also independently related to mortality. The number of organ dysfunctions was the strongest 30-day mortality risk factor while Enterobacteriaceae was also associated with poorer outcome. The assessment of organ dysfunctions in CAP should be implemented for management, allocation and treatment decisions on initial evaluation.

Age-related risk factors for bacterial aetiology in community-acquired pneumonia.

BACKGROUND AND OBJECTIVE: The objective of this study was to evaluate the effect of age and comorbidities, smoking and alcohol use on microorganisms in patients with community-acquired pneumonia (CAP). METHODS: A prospective multicentre study was performed with 4304 patients. We compared microbiological results, bacterial aetiology, smoking, alcohol abuse and comorbidities in three age groups: young adults (<45 years), adults (45-64 years) and seniors (>65 years). RESULTS: Bacterial aetiology was identified in 1522 (35.4%) patients. In seniors, liver disease was independently associated with Gram-negative bacteria (Haemophilus influenzae and Enterobacteriaceae), COPD with Pseudomonas aeruginosa (OR = 2.69 (1.46-4.97)) and Staphylococcus aureus (OR = 2.8 (1.24-6.3)) and neurological diseases with S. aureus. In adults, diabetes mellitus (DM) was a risk factor for Streptococcus pneumoniae and S. aureus, and COPD for H. influenzae (OR = 3.39 (1.06-10.83)). In young adults, DM was associated with S. aureus. Smoking was a risk factor for Legionella pneumophila regardless of age. Alcohol intake was associated with mixed aetiology and Coxiella burnetii in seniors, and with S. pneumoniae in young adults. CONCLUSION: It should be considered that the bacterial aetiology may differ according to the patient's age, comorbidities, smoking and alcohol abuse. More extensive microbiological testing is warranted in those with risk factors for infrequent microorganisms.

Sensitivity, Specificity, and Positivity Predictors of the Pneumococcal Urinary Antigen Test in Community-Acquired Pneumonia.

RATIONALE: Detection of the C-polysaccharide of Streptococcus pneumoniae in urine by an immune-chromatographic test is increasingly used to evaluate patients with community-acquired pneumonia. OBJECTIVES: We assessed the sensitivity and specificity of this test in the largest series of cases to date and used logistic regression models to determine predictors of positivity in patients hospitalized with community-acquired pneumonia. METHODS: We performed a multicenter, prospective, observational study of 4,374 patients hospitalized with community-acquired pneumonia. MEASUREMENTS AND MAIN RESULTS: The urinary antigen test was done in 3,874 cases. Pneumococcal infection was diagnosed in 916 cases (21%); 653 (71%) of these cases were diagnosed exclusively by the urinary antigen test. Sensitivity and specificity were 60 and 99.7%, respectively. Predictors of urinary antigen positivity were female sex; heart rate≥125 bpm, systolic blood pressure<90 mm Hg, and SaO2<90%; absence of antibiotic treatment; pleuritic chest pain; chills; pleural effusion; and blood urea nitrogen≥30 mg/dl. With at least six of all these predictors present, the probability of positivity was 52%. With only one factor present, the probability was only 12%. CONCLUSIONS: The urinary antigen test is a method with good sensitivity and excellent specificity in diagnosing pneumococcal pneumonia, and its use greatly increased the recognition of community-acquired pneumonia due to S. pneumoniae. With a specificity of 99.7%, this test could be used to direct simplified antibiotic therapy, thereby avoiding excess costs and risk for bacterial resistance that result from broad-spectrum antibiotics. We also identified predictors of positivity that could increase suspicion for pneumococcal infection or avoid the unnecessary use of this test.

Tobacco smoking increases the risk for death from pneumococcal pneumonia.

BACKGROUND: Active smoking increases the risk of developing community-acquired pneumonia (CAP) and invasive pneumococcal disease, although its impact on mortality in pneumococcal CAP outcomes remains unclear. The aim of this study was to investigate the influence of current smoking status on pneumococcal CAP mortality. METHODS: We performed a multicenter, prospective, observational cohort study in 4,288 hospitalized patients with CAP. The study group consisted of 892 patients with pneumococcal CAP: 204 current smokers (22.8%), 387 nonsmokers (43.4%), and 301 exsmokers (33.7%). RESULTS: Mortality at 30 days was 3.9%: 4.9% in current smokers vs 4.3% in nonsmokers and 2.6% in exsmokers. Current smokers with CAP were younger (51 years vs 74 years), with more alcohol abuse and fewer cardiac, renal, and asthma diseases. Current smokers had lower CURB-65 (confusion, uremia, respiratory rate, BP, age ≥ 65 years) scores, although 40% had severe sepsis at diagnosis. Current smoking was an independent risk factor (OR, 5.0; 95% CI, 1.8-13.5; P = .001) for 30-day mortality of pneumococcal CAP after adjusting for age (OR, 1.06; P = .001), liver disease (OR, 4.5), sepsis (OR, 2.3), antibiotic adherence to guidelines, and first antibiotic dose given < 6 h. The independent risk effect of current smokers remained when compared only with nonsmokers (OR, 4.0; 95% CI, 1.3-12.6; P = .015) or to exsmokers (OR, 3.9; 95% CI, 1.09-4.95; P = .02). CONCLUSIONS: Current smokers with pneumococcal CAP often develop severe sepsis and require hospitalization at a younger age, despite fewer comorbid conditions. Smoking increases the risk of 30-day mortality independently of tobacco-related comorbidity, age, and comorbid conditions. Current smokers should be actively targeted for preventive strategies.

Compliance with guidelines-recommended processes in pneumonia: impact of health status and initial signs.

Initial care has been associated with improved survival of community-acquired pneumonia (CAP). We aimed to investigate patient comorbidities and health status measured by the Charlson index and clinical signs at diagnosis associated with adherence to recommended processes of care in CAP. We studied 3844 patients hospitalized with CAP. The evaluated recommendations were antibiotic adherence to Spanish guidelines, first antibiotic dose <6 hours and oxygen assessment. Antibiotic adherence was 72.6%, first dose <6 h was 73.4% and oxygen assessment was 90.2%. Antibiotic adherence was negatively associated with a high Charlson score (Odds ratio [OR], 0.91), confusion (OR, 0.66) and tachycardia ≥100 bpm (OR, 0.77). Delayed first dose was significantly lower in those with tachycardia (OR, 0.75). Initial oxygen assessment was negatively associated with fever (OR, 0.61), whereas tachypnea ≥30 (OR, 1.58), tachycardia (OR, 1.39), age >65 (OR, 1.51) and COPD (OR, 1.80) were protective factors. The combination of antibiotic adherence and timing <6 hours was negatively associated with confusion (OR, 0.69) and a high Charlson score (OR, 0.92) adjusting for severity and hospital effect, whereas age was not an independent factor. Deficient health status and confusion, rather than age, are associated with lower compliance with antibiotic therapy recommendations and timing, thus identifying a subpopulation more prone to receiving lower quality care.

Guidelines for the treatment of community-acquired pneumonia: predictors of adherence and outcome.

RATIONALE: Some studies highlight the association of better clinical responses with adherence to guidelines for empiric treatment of community-acquired pneumonia (CAP), but little is known about factors that influence this adherence. OBJECTIVES: Our objectives were to identify factors influencing adherence to the guidelines for empiric treatment of CAP, and to evaluate the impact of adherence on outcome. METHODS: We studied 1,288 patients with CAP admitted to 13 Spanish hospitals. Collected variables included the patients' clinical and demographic data, initial severity of the disease, antibiotic treatment, and specialty and training status of the prescribing physician. MEASUREMENTS AND MAIN RESULTS: Adherence to guidelines was high (79.7%), with significant differences between hospitals (range, 47-97%) and physicians (pneumologists, 81%; pneumology residents, 84%; nonpneumology residents, 82%; other specialists, 67%). The independent factors related to higher adherence were hospital, physician characteristics, and initial high-risk class of Fine, whereas admission to intensive care unit decreased adherence. Seventy-four patients died (6.1%), and treatment failure was found in 175 patients (14.2%). After adjusting for Fine risk class, adherence to the guidelines was found protective for mortality (odds ratio [OR], 0.55; 95% confidence interval [CI], 0.3-0.9) and for treatment failure (OR, 0.65; 95% CI, 0.5-0.9). Treatment prescribed by pneumologists and residents was associated with lower treatment failure (OR, 0.6; 95% CI, 0.4-0.9). CONCLUSIONS: Adherence to guidelines mainly depends on the hospital and the specialty and training status of prescribing physicians. Nonadherence was higher in nonpneumology specialists, and is an independent risk factor for treatment failure and mortality.

Reaching stability in community-acquired pneumonia: the effects of the severity of disease, treatment, and the characteristics of patients.

BACKGROUND: The natural history of the resolution of infectious parameters in patients with community-acquired pneumonia (CAP) is not completely known. The aim of our study was to identify those factors related to host characteristics, the severity of pneumonia, and treatment that influence clinical stability. METHODS: In a prospective, multicenter, observational study, we observed 1424 patients with CAP who were admitted to 15 Spanish hospitals. The main outcome variable was the number of days needed to reach clinical stability (defined as a temperature of or=90 mm Hg, and oxygen saturation >or=90% or arterial oxygen partial pressure of >or=60 mm Hg). RESULTS: The median time to stability was 4 days. A Cox proportional hazard model identified 6 independent variables recorded during the first 24 h after hospital admission related to the time needed to reach stability: dyspnea (hazard ratio [HR], 0.76), confusion (HR, 0.66), pleural effusion (HR, 0.67), multilobed CAP (HR, 0.72), high pneumonia severity index (HR, 0.73), and adherence to the Spanish guidelines for treatment of CAP (HR, 1.22). A second Cox model was performed that included complications and response to treatment. This model identified the following 10 independent variables: chronic bronchitis (HR, 0.81), dyspnea (HR, 0.79), confusion (HR, 0.61), multilobed CAP (HR, 0.84), initial severity of disease (HR, 0.73), treatment failure (HR, 0.31), cardiac complications (HR, 0.66), respiratory complications (HR, 0.77), empyema (HR, 0.57), and admission to the intensive care unit (HR, 0.57). CONCLUSIONS: Some characteristics of CAP are useful at the time of hospital admission to identify patients who will need a longer hospital stay to reach clinical stability. Empirical treatment that follows guidelines is associated with earlier clinical stability. Complications and treatment failure delay clinical stability.