Literature DB >> 25564372

Lower mortality rate in elderly patients with community-onset pneumonia on treatment with aspirin.

Marco Falcone1, Alessandro Russo1, Roberto Cangemi2, Alessio Farcomeni1, Camilla Calvieri2, Francesco Barillà2, Maria Gabriella Scarpellini3, Giuliano Bertazzoni3, Paolo Palange1, Gloria Taliani4, Mario Venditti1, Francesco Violi2.   

Abstract

BACKGROUND: Pneumonia is complicated by high rate of mortality and cardiovascular events (CVEs). The potential benefit of aspirin, which lowers platelet aggregation by inhibition of thromboxane A2 production, is still unclear. The aim of the study was to assess the impact of aspirin on mortality in patients with pneumonia. METHODS AND
RESULTS: Consecutive patients admitted to the University-Hospital Policlinico Umberto I (Rome, Italy) with community-onset pneumonia were recruited and prospectively followed up until discharge or death. The primary end point was the occurrence of death up to 30 days after admission; the secondary end point was the intrahospital incidence of nonfatal myocardial infarction and ischemic stroke. One thousand and five patients (age, 74.7±15.1 years) were included in the study: 390 were receiving aspirin (100 mg/day) at the time of hospitalization, whereas 615 patients were aspirin free. During the follow-up, 16.2% of patients died; among these, 19 (4.9%) were aspirin users and 144 (23.4%; P<0.001) were aspirin nonusers. Overall, nonfatal CVEs occurred in 7% of patients, 8.3% in nonaspirin users, and 4.9% in aspirin users (odds ratio, 1.77; 95% confidence interval, 1.03 to 3.04; P=0.040). The Cox regression analysis showed that pneumonia severity index (PSI), severe sepsis, pleural effusion, and PaO(2)/FiO(2) ratio <300 negatively influenced survival, whereas aspirin therapy was associated with improved survival. Compared to patients receiving aspirin, the propensity score adjusted analysis confirmed that patients not taking aspirin had a hazard ratio of 2.07 (1.08 to 3.98; P=0.029) for total mortality.
CONCLUSIONS: This study shows that chronic aspirin use is associated with lower mortality rate within 30 days after hospital admission in a large cohort of patients with pneumonia.
© 2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  aspirin; pneumonia; septic shock; severe sepsis

Mesh:

Substances:

Year:  2015        PMID: 25564372      PMCID: PMC4330080          DOI: 10.1161/JAHA.114.001595

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Community‐onset pneumonia, including the epidemiological definitions of community‐acquired pneumonia (CAP) and healthcare‐associated pneumonia (HCAP), is the most common infection leading to hospitalization in intensive care units and the most common cause of death associated with infectious diseases.[1-2] Among the causes of poor survival, acute cardiovascular (CV) events (CVEs), which complicate the clinical course of pneumonia, may play a relevant role; thus, respiratory tract infections are associated with an increased risk for vascular disease, such as myocardial infarction (MI) and stroke, which usually occur in the early phase of pneumonia.[3-8] Aspirin is an anti‐inflammatory drug, which significantly lowered the rate of MI and stroke in primary and secondary intervention trials by irreversible acetylation of cyclooxygenase 1 (COX1) and ensuing impaired formation of thromboxane A2.[9-10] Previous studies found increased platelet activation in patients affected by viral upper respiratory tract infection or pneumonia,[11-12] suggesting that lung infection could be a trigger for platelet activation, but the impact of such changes on survival in patients with pneumonia is still unclear. Thus, data regarding the impact of aspirin on survival after pneumonia are few and equivocal.[13-14] Furthermore, no data on the association between aspirin use and CVEs have been reported thus far in patients with pneumonia. In this prospective, observational study, we investigated whether aspirin use affects early (within 30 days) mortality and CVEs in patients with community‐onset pneumonia during follow‐up.

Patients and Methods

Study Design and Patient Selection

The study was conducted at the University‐Hospital Policlinico Umberto I (Rome, Italy). All patients admitted to medical wards with diagnosis of community‐onset pneumonia through the emergency department (ED) from January 2011 to December 2013 were consecutively recruited and prospectively followed up. Patients who fulfilled the following criteria were enrolled in the study after giving written informed consent: (1) age 18 years or over; (2) clinical presentation of an acute illness with 1 or more of the following signs or symptoms suggesting pneumonia: presence of rales, rhonchi, bronchial breath sounds, fever (>38.0°C), tachycardia, chills, dyspnea, coughing (with or without sputum), or chest pain; and (3) presence of new consolidation(s) on chest X‐ray. Pneumonia was considered as CAP if it was diagnosed upon hospitalization and the patient had not been discharged from an acute care facility within 14 days preceding the clinical presentation. We classified patients as having HCAP if they had attended a hospital or hemodialysis clinic or received intravenous chemotherapy in the past 30 days, had been admitted to an acute‐care hospital for at least 2 days or had surgery in the past 90 days, or resided in a nursing home or long‐term care facility.[15] We classified patients as having hospital‐acquired pneumonia (HAP) if they received their diagnosis after being hospitalized for more than 72 hours or within 10 days of leaving the hospital. Patients were excluded from the study if 1 of the following criteria was applied: radiographic evidence of a preexisting infiltrates, criteria for HAP, pregnancy or breastfeeding, documented severe allergy to antibiotics, or refusal to sign informed consent. All patients were followed up during hospitalization and for 30 days after admission or until death. The present study was conducted according to the principles stated in the Declaration of Helsinki. The institutional review board approved this prospective, observational study.

Baseline Assessment and Follow‐up

Data on demographic characteristics, comorbidities, and antibiotic and concomitant therapy were collected; severity of illness at presentation was quantified by the pneumonia severity index (PSI) and CURB‐65 score.[16] Type‐2 diabetes mellitus, hypertension, history of coronary heart disease, dyslipidemia, peripheral arterial disease, and chronic obstructive pulmonary disease (COPD) were defined as previously described.[17-18] Baseline treatments were defined according to the patients’ pharmacological history. Severe sepsis was defined as sepsis with sepsis‐induced organ dysfunction or tissue hypoperfusion (manifesting as hypotension, elevated lactate, or decreased urine output) and septic shock as severe sepsis plus persistently low blood pressure following the administration of intravenous fluids.[19] Patient status was assessed by the Sequential Organ Failure Assessment (SOFA) score.[20] Antibiotic therapy was initiated in the ED in accord with the hospital guidelines and/or consultation of an infectious diseases specialist. Patients were followed up for 30 days from hospital admission or until death.

Study End Points

The primary study end point was the occurrence of death up to 30 days after hospital admission. Secondary end points were the in‐hospital occurrence of a nonfatal ischemic CVE (including MI and ischemic stroke). MI criteria were those of the “Third Universal Definition of Myocardial Infarction”: the detection of a rise of cardiac troponin with at least 1 value above the 99th percentile upper reference limit was associated with at least 1 of the following: (1) chest pain; (2) detection of new or presumably new significant ST‐segment–T wave changes or new left bundle branch block (LBBB); (3) development of pathological Q waves in the electrocardiogram (ECG); (4) de novo imaging evidence of viable myocardium loss or regional wall motion abnormality; (5) identification of an intracoronary thrombus by angiography or autopsy; and (6) cardiac death with symptoms suggestive of myocardial ischemia and presumed new ischemic ECG changes or new LBBB. ST elevation MI and non‐ST elevation MI were defined as previously reported.[21] The occurrence of stroke was determined based on clinical manifestations and confirmed by computed tomography scan. Blind adjudication of the events was performed by 2 independent cardiologists (C.C. and F.B.), who did not participate in the patients’ recruitment and follow‐up.

Aspirin Treatment

The population was divided in 2 groups: patients taking aspirin before and during hospitalization (aspirin group) and patients not taking aspirin before and during hospitalization (nonaspirin group). Compliance with aspirin and the other drugs was daily monitored.

Statistical Analysis

The results obtained were analyzed using commercially available statistical software packages (SPSS, version 20.0; SPSS, Inc., Chicago, IL and R, version 3.0.2; R development core team, Vienna, Austria). The sample size was planned using a log‐rank test for comparing mortality rate in patients receiving or not the aspirin. With a minimum follow‐up time of 30 days, assuming a 1.5 to 1 ratio for number of controls versus treated, an incidence rate of mortality in the control group of 18%,[22] and a reduction of mortality by aspirin of at least 5.5% (corresponding to a hazard ratio [HR] of 0.82 and a relative reduction of approximately 30%), we planned a sample size of 975 patients. This guarantees a power of at least 80% at a fixed a type I error rate of 5%. To detect significant differences between groups, we used the chi‐square test or Fisher exact test for categorical variables and the 2‐tailed t test or Mann‐Whitney test for continuous variables, when appropriate. Survival curves for time‐to‐event variables were constructed with the use of Kaplan–Meier estimates based on all available data and were compared with the use of the log‐rank test. In a multivariate analysis of survival, the Cox regression model was used to determine the effects of different variables on overall survival. The bivariate effect of aspirin treatment on the secondary end point (in hospital nonfatal CVEs) was assessed by means of a logistic regression model. Wald confidence intervals (CIs) and tests for odds ratios (ORs) were computed based on the estimated standard errors. The proportionality of hazards assumption for the Cox model has been checked using plots of Schoenfeld residuals. Finally, in order to correct for possible bias arising from the observational nature of the experiment, we corrected all relevant effect estimates and P values with the propensity score estimated using all prehospitalization variables (age, gender, previous therapies, comorbidities, signs, and symptoms at hospitalization). In detail, we built the propensity scores by considering all variables for possible prediction of the treatment indicator and performing forward step‐wise selection for parsimony. After, the estimated propensity score has been used as a predictor in multivariate models assessing the relationship between treatment and outcomes. The balancing properties of the propensity score have been assessed by evaluating the propensity score adjusted summaries within each treatment group. Propensity score adjusted estimates can be expected to be close to the estimates that would be obtained had the treatment been randomized.[23] Statistical significance was established at ≤0.05. All reported P values are 2‐tailed.

Results

During the study period, a total of 1452 patients were assessed for eligibility, and 1005 were finally included in the study. A consort diagram describing the study flow is presented in Figure 1.
Figure 1.

Study flow diagram. ED indicates emergency department; HAP, hospital‐acquired pneumonia.

Study flow diagram. ED indicates emergency department; HAP, hospital‐acquired pneumonia. Among the patients included in the study, 390 were analyzed as the “aspirin group” (100 mg/day) and 615 as the “nonaspirin group.” Comparison of demographics and clinical features of patients included in the aspirin and nonaspirin groups are summarized in Table 1. Comparison between aspirin and nonaspirin groups after propensity score adjustment, showing the balance between the 2 study groups with respect to baseline characteristics, is reported in Table 2.
Table 1.

Clinical Characteristics of Aspirin‐ Versus Non‐Aspirin‐Treated Patients

VariablesAspirin Group n=390 PatientsNonaspirin Group n=615 PatientsP Value
Age, y73.6±17.475.3±12.80.08
Male sex215 (55.1%)375 (61.0%)0.067
PSI II to III classes130 (33.3%)58 (9.4%)<0.001
PSI IV class206 (52.8%)299 (48.6%)0.194
PSI V class54 (13.8%)258 (42.0%)<0.001
CURB‐65 I class195 (50%)219 (35.6%)<0.001
CURB‐65 II class153 (39.2%)211 (34.3%)0.1
CURB‐65 III class42 (10.7%)185 (30.1%)<0.001
Chronic heart disease175 (44.9%)134 (21.7%)<0.01
Chronic hepatitis31 (7.9%)61 (9.9%)0.8
Diabetes41 (10.5%)151 (24.5%)<0.001
Renal failure62 (16%)131 (21.3%)0.1
COPD128 (32.8%)198 (32.2%)0.8
CAP271 (69.4%)356 (57.8%)0.02
HCAP119 (30.5%)259 (42.2%)0.03
Neoplasm50 (12.9%)179 (29.1%)<0.001
Pleural effusion86 (22.1%)338 (54.9%)<0.001
Immunosuppressive therapy52 (13.3%)84 (13.6%)0.5
Fever >38°C224 (57.4%)330 (53.6%)0.5
PaO2/FiO2 ratio <30026 (6.6%)156 (25.3%)<0.001
NIV2 (0.5%)29 (4.7%)<0.001
SOFA score >2142 (36.4%)503 (81.8%)<0.001
Severe sepsis or septic shock18 (4.6%)71 (11.5%)<0.001
Nonfatal cardiovascular events19 (4.9%)51 (8.3%)0.03

CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment.

Table 2.

Clinical Characteristics of Aspirin‐ Versus Non‐Aspirin‐Treated Patients After Propensity Score Adjustment

VariablesAspirin Group n=390 PatientsNonaspirin Group n=615 PatientsSD
Age, y71.99±16.1173.51±16.520.092
Male sex53.9%63.5%0.097
PSI II to III classes22.8%17.0%0.072
PSI IV class58.6%62.0%0.035
PSI V class18.6%21.0%0.030
CURB‐65 I class30.5%32.8%0.025
CURB‐65 II class32.4%40.2%0.081
CURB‐65 III class16.7%19.7%0.039
Chronic heart disease21.3%28.9%0.088
Chronic hepatitis8.6%8.0%0.030
Diabetes12.6%15.2%0.038
Renal failure11.6%13.8%0.033
COPD29.4%30.2%0.009
CAP18.4%21.9%0.044
HCAP81.6%78.1%0.044
Neoplasm13.7%17.0%0.046
Pleural effusion25.5%33.2%0.085
Immunosuppressive therapy11.0%14.6%0.054
Fever >38°C57.4%51.8%0.056
PaO2/FiO2 ratio <3004.5%5.0%0.012
NIV0.6%3.5%0.103
SOFA score >257.1%55.6%0.015
Severe sepsis or septic shock5.6%5.4%0.004
Nonfatal cardiovascular events6.2%3.3%0.068

SD <10% indicates balance. CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment.

Clinical Characteristics of Aspirin‐ Versus Non‐Aspirin‐Treated Patients CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment. Clinical Characteristics of Aspirin‐ Versus Non‐Aspirin‐Treated Patients After Propensity Score Adjustment SD <10% indicates balance. CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment. No differences in demographic characteristics were recorded between the 2 study groups, but patients included in the aspirin group showed a higher frequency of chronic heart failure and belonged to the lower‐severity classes of PSI and CURB‐65 scores. Compared to the nonaspirin group, patients on aspirin showed a lower incidence of pleural effusion and a minor degree of respiratory impairment; they also had a lower median SOFA score (1.8 vs. 2.5; P=0.02). Moreover, patients on aspirin had a lower incidence of severe sepsis or septic shock (4.6% vs. 11.5%; P<0.001). During the follow‐up, 163 patients (16.2%) died; demographics and clinical features of survivors and nonsurvivors are reported in Table 3. Patients who died were older, had a higher incidence of comorbidities, and a greater severity of pneumonia according to PSI and CURB‐65 scoring systems. Furthermore, nonsurvivors had a higher median SOFA score (3.9 vs. 2.1; P<0.001) and higher incidence of severe sepsis or septic shock (23.9% vs. 5.9%; P<0.001). Finally, patients who died were less frequently on aspirin therapy (11.7% vs. 44.1%; P<0.001).
Table 3.

Clinical Characteristics of Survived Versus Nonsurvived Patients

VariablesSurvived n=842 PatientsNonsurvived n=163 PatientsP Value
Age (mean)74.1±15.777.9±11.1<0.001
Male sex507 (60.2%)83 (50.1%)0.027
PSI II to III classes185 (22.0%)3 (1.8%)<0.001
PSI IV class424 (50.4%)81 (49.7%)0.877
PSI V class233 (27.7%)79 (48.5%)<0.001
CURB‐65 I class373 (44.3%)44 (27.0%)<0.001
CURB‐65 II class290 (34.4%)66 (40.5%)0.139
CURB‐65 III class179 (21.3%)53 (32.5%)0.002
Chronic heart disease235 (27.9%)54 (33.1%)0.178
Chronic hepatitis63 (7.5%)32 (19.6%)<0.001
Diabetes164 19.5%)31 (19.0%)0.892
Renal failure142 (16.9%)52 (31.9%)<0.001
COPD284 (33.7%)39 (23.9%)0.014
CAP576 (70.2%)51 (27.5%)<0.001
Neoplasm186 (22.1%)47 (28.8%)0.062
Pleural effusion340 (40.6%)94 (57.7%)<0.001
Immunosuppressive therapy106 (12.9%)30 (16.2%)0.27
Aspin use371 (44.1%)19 (11.7%)<0.001
Fever >38°C457 (54.3%)91 (55.8%)0.716
PaO2/FiO2 ratio <300279 (33.1%)103 (63.2%)<0.001
NIV14 (1.7%)17 (9.2%)<0.001
SOFA score (median)2.13.9<0.001
Severe sepsis or septic shock50 (5.9%)39 (23.9%)<0.001

CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment.

Clinical Characteristics of Survived Versus Nonsurvived Patients CAP indicates community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; HCAP, healthcare‐associated pneumonia; NIV, noninvasive ventilation; PSI, pneumonia severity index; SOFA, Sequential Organ Failure Assessment. Compared to the nonaspirin group, patients on aspirin showed a lower incidence of in‐hospital 30‐day mortality (23.4% vs. 4.9%; P<0.001). Intrahospital nonfatal CVEs occurred in 70 patients (7.0%); 8.3% of patients in the nonaspirin group and in 4.9% of patients in the aspirin group, showing an increased risk for patients not taking aspirin (OR, 1.77; 95% CI, 1.03 to 3.04; P=0.040). As shown in Figure 2, Kaplan–Meier analysis on estimated survival during hospitalization showed improved survival of the aspirin group, compared to the nonaspirin group (P<0.001). Table 4 describes Cox regression analysis about effects of different variables on overall survival during follow‐up. Whereas a PSI V class, severe sepsis or septic shock, pleural effusion, and PaO2/FiO2 ratio <300 negatively influenced survival, aspirin therapy was associated with lower mortality rate. This finding was confirmed by the propensity score adjusted estimates, given that patients of the nonaspirin group had an HR of 2.07 (95% CI, 1.08 to 3.98; P=0.029), compared to patients receiving aspirin.
Figure 2.

Estimated survival during hospitalization of the aspirin group, compared to the nonaspirin group, using Kaplan–Meier survival analysis.

Table 4.

Cox Regression Analysis About Effects of Different Variables on Overall Survival During Hospitalization

VariablesHR95% CIP Value
Aspirin use0.430.25 to 0.750.003
PSI V class1.411.03 to 1.930.035
Severe sepsis or septic shock3.442.39 to 4.96<0.001
Pleural effusion1.531.10 to 2130.011
PaO2/FiO2 ratio <3002.271.58 to 3.26<0.001

CI indicates confidence interval; HR, hazard ratio; PSI, pneumonia severity index.

Cox Regression Analysis About Effects of Different Variables on Overall Survival During Hospitalization CI indicates confidence interval; HR, hazard ratio; PSI, pneumonia severity index. Estimated survival during hospitalization of the aspirin group, compared to the nonaspirin group, using Kaplan–Meier survival analysis.

Discussion

The relevant finding of our prospective, observational study is that patients with community‐onset pneumonia on chronic treatment with aspirin have a lower 30‐day mortality rate, compared to those not receiving aspirin. The overall mortality rate observed in our population (16.2%) is comparable to that previously reported by Ruhnke et al.,[24] who observed, in hospitalized patients with CAP in the United States, a short‐term morality rate ranging from 11.7% in 65‐ to 69‐year‐old patients to 25.2% in patients >85; this finding was confirmed in a recent world‐wide perspective study in which the 30‐day mortality of CAP was approximately 18%.[21] In the present study, we aimed at investigating whether aspirin treatment affects mortality in patients with community‐onset pneumonia. Thus far, very few clinical studies analyzed the clinical impact of antiplatelet drugs on clinical outcomes in patients with pneumonia. A retrospective study in elderly patients hospitalized for CAP showed a significant association between the use of antiplatelet drugs (low‐dose aspirin or thienopyridines) and reduced need for intensive care and hospital stay.[13] In our population, approximately 40% of patients were treated with aspirin during the intrahospital stay. Whereas age and sex were equally distributed between aspirin and nonaspirin users, patients on aspirin had a significantly more‐prevalent history of CVD, less prevalence of diabetes, and lower pneumonia severity, as assessed by PSI and CURB‐65 scores; conversely, nonaspirin users had more‐prevalent neoplasm, which, however, was not significantly associated with intrahospital mortality at Cox regression analysis. The novelty of the present study is that patients with pneumonia receiving aspirin had significantly lower total 30‐day mortality rate (4.9%), compared to nonaspirin users (23.4%), and aspirin therapy was a factor independently associated with improved survival. This finding is apparently in contrast with a previous prospective observational study of 1007 patients admitted to the hospital with CAP, of whom approximately 30% were on aspirin treatment; Chalmers et al.[13] found an approximate 35% risk reduction of mortality, which, however, did not reach significance. Given that the population included by Chalmers et al.,[13] compared to our population, was younger and had less‐severe pneumonia, as suggested by the 2‐fold lower incidence of mortality, we cannot exclude that the benefit of aspirin is observed more prevalently in elderly patients with severe pneumonia and high mortality rate. Several mechanisms may account for lower mortality rate in our pneumonia population. A previous study by Corrales‐Medina et al.[25] demonstrated that the early phase of pneumonia might be complicated by MI, which may worsen the illness prognosis. Accordingly, we found a high rate of CV complications, such as MI and stroke, which were significantly reduced in aspirin users, compared to nonusers. This is consistent with our recent study showing a significant association between platelet activation and thromboxane A2 production and MI, suggesting a role for COX1 activation as a trigger for MI in patients with pneumonia.[12] However, the interplay among platelet activation, aspirin use, and CV outcomes needs to be further elucidated owing to the fact that low‐dose aspirin is able to only partly inhibit platelet activation and COX1 in patients with pneumonia.[12] An alternative mechanism, unrelated to the reduced cardiac complications, could also be implicated in lower mortality rate by aspirin. Thus, experimental and clinical studies demonstrated that platelet activation is associated with severity of sepsis and contributes to organ failure.[26-29] There is also evidence from observational studies that aspirin treatment is associated with less‐severe sepsis and lower mortality, which is consistent with animal studies showing that aspirin attenuates sepsis severity.[30-32] Consistently with these reports, sepsis rate was significantly reduced in aspirin‐treated patients, suggesting that aspirin use may protect against systemic inflammation and organ failure and eventually lower mortality rate. In agreement with this hypothesis, patients on aspirin treatment had significantly lower PSI and CURB‐65 scores, compared to nonaspirin users. The study has limitations and implications. The observational nature of the study is an intrinsic limitation because the lack of randomization precludes a definite analysis of aspirin benefit. Therefore, we believe that these findings cannot be transferred to clinical practice until an interventional study with aspirin has been done. An interventional study with aspirin is also necessary to establish the real impact of aspirin on total mortality, whose reduction is even higher than that observed in patients with acute coronary syndrome[33] and needs to be confirmed in further studies. The strength of the study is, however, the analysis of pneumonia in the real world, which suggests that aspirin may have a positive impact on mortality independently from other confounding factors. In particular, aspirin and nonaspirin users were well balanced in terms of demographic and clinical characteristics and had no difference in concomitant diseases, which could bias the results, with the exception of previous CVD and neoplasm, which were more frequent in aspirin and nonaspirin users, respectively. It is possible that aspirin benefit may be detected in an old population, as depicted by the present study, and therefore our data cannot be extrapolated to a younger population affected by pneumonia. This should be carefully considered when planning future randomized trials to further explore the efficacy of aspirin in this setting. In conclusion, we provide the first evidence that, in an old population affected by pneumonia, aspirin treatment, though prevalently used by patients with higher CV risk, is associated with a lower mortality rate within 30 days from hospital admission. Owing to the observational methodology of the study, randomized, clinical trials are warranted to support this finding.

Appendix

The SIXTUS study group who collaborated to the study: Fabiana Albanese, Elisa Biliotti, Tommaso Bucci, Cinzia Myriam Calabrese, Roberto Carnevale, Marco Casciaro, Andrea Celestini, Paolo de Marzio, Rozenn Esvan, Lucia Fazi, Maria Cristina Gentile, Stefania Grieco, Sergio Morelli, Laura Napoleone, Michela Palumbo, Daniele Pastori, Ludovica Perri, Pasquale Pignatelli, Elisabetta Rossi, Roberta Russo, and Ines Ullo.
  32 in total

Review 1.  Pneumonia, thrombosis and vascular disease.

Authors:  F Violi; R Cangemi; C Calvieri
Journal:  J Thromb Haemost       Date:  2014-07-23       Impact factor: 5.824

2.  Marked reduction in 30-day mortality among elderly patients with community-acquired pneumonia.

Authors:  Gregory W Ruhnke; Marcelo Coca-Perraillon; Barrett T Kitch; David M Cutler
Journal:  Am J Med       Date:  2011-02       Impact factor: 4.965

3.  NOX2 up-regulation is associated with artery dysfunction in patients with peripheral artery disease.

Authors:  Lorenzo Loffredo; Roberto Carnevale; Roberto Cangemi; Francesco Angelico; Teresa Augelletti; Serena Di Santo; Cinzia M Calabrese; Luigi Della Volpe; Pasquale Pignatelli; Ludovica Perri; Stefania Basili; Francesco Violi
Journal:  Int J Cardiol       Date:  2012-02-14       Impact factor: 4.164

Review 4.  Coagulopathy and platelet disorders in critically ill patients.

Authors:  M Levi; M Schultz
Journal:  Minerva Anestesiol       Date:  2010-07-08       Impact factor: 3.051

5.  Anti-platelet drugs and outcome in severe infection: clinical impact and underlying mechanisms.

Authors:  Johannes Winning; Julia Reichel; Yvonne Eisenhut; Jürg Hamacher; Matthias Kohl; Hans Peter Deigner; Ralf A Claus; Michael Bauer; Wolfgang Lösche
Journal:  Platelets       Date:  2009-02       Impact factor: 3.862

6.  Prior statin use is associated with improved outcomes in community-acquired pneumonia.

Authors:  James D Chalmers; Aran Singanayagam; Maeve P Murray; Adam T Hill
Journal:  Am J Med       Date:  2008-11       Impact factor: 4.965

7.  Inflammatory changes during the 'common cold' are associated with platelet activation and increased reactivity of platelets to agonists.

Authors:  Rolf P Kreutz; Udaya S Tantry; Kevin P Bliden; Paul A Gurbel
Journal:  Blood Coagul Fibrinolysis       Date:  2007-12       Impact factor: 1.276

8.  Outcomes of patients hospitalized with community-acquired, health care-associated, and hospital-acquired pneumonia.

Authors:  Mario Venditti; Marco Falcone; Salvatore Corrao; Giuseppe Licata; Pietro Serra
Journal:  Ann Intern Med       Date:  2009-01-06       Impact factor: 25.391

9.  Thrombocytopenia and outcome in critically ill patients with bloodstream infection.

Authors:  Dominique M Vandijck; Stijn I Blot; Jan J De Waele; Eric A Hoste; Koenraad H Vandewoude; Johan M Decruyenaere
Journal:  Heart Lung       Date:  2009-10-15       Impact factor: 2.210

10.  Aspirin in the primary and secondary prevention of vascular disease: collaborative meta-analysis of individual participant data from randomised trials.

Authors:  Colin Baigent; Lisa Blackwell; Rory Collins; Jonathan Emberson; Jon Godwin; Richard Peto; Julie Buring; Charles Hennekens; Patricia Kearney; Tom Meade; Carlo Patrono; Maria Carla Roncaglioni; Alberto Zanchetti
Journal:  Lancet       Date:  2009-05-30       Impact factor: 79.321

View more
  31 in total

1.  Septic shock from community-onset pneumonia: is there a role for aspirin plus macrolides combination?

Authors:  Marco Falcone; Alessandro Russo; Alessio Farcomeni; Filippo Pieralli; Vieri Vannucchi; Vincenzo Vullo; Francesco Violi; Mario Venditti
Journal:  Intensive Care Med       Date:  2015-11-19       Impact factor: 17.440

2.  Systemic corticosteroids and community-acquired pneumonia-cautious optimism or wishful thinking?

Authors:  Grant Waterer
Journal:  J Thorac Dis       Date:  2015-12       Impact factor: 2.895

3.  A Hypothesis-Generating Study of the Combination of Aspirin plus Macrolides in Patients with Severe Community-Acquired Pneumonia.

Authors:  Marco Falcone; Alessandro Russo; Yuichiro Shindo; Alessio Farcomeni; Filippo Pieralli; Roberto Cangemi; Jinliang Liu; Jingyan Xia; Junya Okumura; Masahiro Sano; Christopher Jones; Vieri Vannucchi; Massimo Mancone; Scott Micek; Feng Xu; Francesco Violi; Marin Kollef
Journal:  Antimicrob Agents Chemother       Date:  2019-01-29       Impact factor: 5.191

Review 4.  South African guideline for the management of community-acquired pneumonia in adults.

Authors:  Tom H Boyles; Adrian Brink; Greg L Calligaro; Cheryl Cohen; Keertan Dheda; Gary Maartens; Guy A Richards; Richard van Zyl Smit; Clifford Smith; Sean Wasserman; Andrew C Whitelaw; Charles Feldman
Journal:  J Thorac Dis       Date:  2017-06       Impact factor: 2.895

5.  Quantifying the Effects of Prior Acetyl-Salicylic Acid on Sepsis-Related Deaths: An Individual Patient Data Meta-Analysis Using Propensity Matching.

Authors:  James Trauer; Stephen Muhi; Emma S McBryde; Shmeylan A Al Harbi; Yaseen M Arabi; Andrew J Boyle; Rodrigo Cartin-Ceba; Wei Chen; Yung-Tai Chen; Marco Falcone; Ognjen Gajic; Jack Godsell; Michelle Ng Gong; Daryl Kor; Wolfgang Lösche; Daniel F McAuley; Hollis R O'Neal; Michael Osthoff; Gordon P Otto; Maik Sossdorf; Min-Juei Tsai; Juan C Valerio-Rojas; Tom van der Poll; Francesco Violi; Lorraine Ware; Andreas F Widmer; Maryse A Wiewel; Johannes Winning; Damon P Eisen
Journal:  Crit Care Med       Date:  2017-11       Impact factor: 7.598

6.  Community-Acquired Pneumonia in Adults.

Authors:  Martin Kolditz; Santiago Ewig
Journal:  Dtsch Arztebl Int       Date:  2017-12-08       Impact factor: 5.594

7.  Underestimated Ischemic Heart Disease in Major Adverse Cardiovascular Events after Septicemia Discharge.

Authors:  Chih-Chun Hsiao; Yao-Ming Huang; Yin-Han Chang; Hui-Chen Lin; Wu-Chien Chien; Chun-Gu Cheng; Chun-An Cheng
Journal:  Medicina (Kaunas)       Date:  2022-05-31       Impact factor: 2.948

8.  Expanded CURB-65: a new score system predicts severity of community-acquired pneumonia with superior efficiency.

Authors:  Jin-liang Liu; Feng Xu; Hui Zhou; Xue-jie Wu; Ling-xian Shi; Rui-qing Lu; Alessio Farcomeni; Mario Venditti; Ying-li Zhao; Shu-ya Luo; Xiao-jun Dong; Marco Falcone
Journal:  Sci Rep       Date:  2016-03-18       Impact factor: 4.379

9.  Effect of Antiplatelet Therapy on Acute Respiratory Distress Syndrome and Mortality in Critically Ill Patients: A Meta-Analysis.

Authors:  Lijun Wang; Heng Li; Xiaofei Gu; Zhen Wang; Su Liu; Liyong Chen
Journal:  PLoS One       Date:  2016-05-16       Impact factor: 3.240

10.  Independent predictors of major adverse cardiovascular events in emergency department patients who are hospitalised with a suspected infection: a retrospective cohort study.

Authors:  Bas de Groot; Stefanie van den Berg; Joanne Kessler; Annemieke Ansems; Douwe Rijpsma
Journal:  BMJ Open       Date:  2016-01-27       Impact factor: 2.692

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