Pneumonia severity, comorbidity and 1-year mortality in predominantly older adults with community-acquired pneumonia: a cohort study

Long-Term Outcomes in Severe Community-Acquired Pneumonia

Community-acquired pneumonia (CAP) is globally one of the major causes of hospitalization and mortality. Severe CAP (sCAP) presents great challenges and need a comprehensive understanding of its long-term outcomes. Cardiovascular events and neurological impairment, due to persistent inflammation and hypoxemia, contribute to long-term outcomes in CAP, including mortality. Very few data are available in the specific population of sCAP. Multiple studies have reported variable 1-year mortality rates for patients with CAP up to 40.7%, with a clear influence by age, comorbidities, and disease severity. In terms of treatment, the potential protective role of macrolides in reducing mortality emphasizes the importance of appropriate empiric antibiotic therapy. This narrative review explores the growing interest in the literature focusing on the long-term implications of sCAP. Improved understanding of long-term outcomes in sCAP can facilitate targeted interventions and enhance posthospitalization care protocols.

Acute organ injury and long-term sequelae of severe pneumococcal infections

Streptococcus pneumoniae (Spn) is a major public health problem, as it is a main cause of otitis media, community-acquired pneumonia, bacteremia, sepsis, and meningitis. Acute episodes of pneumococcal disease have been demonstrated to cause organ damage with lingering negative consequences. Cytotoxic products released by the bacterium, biomechanical and physiological stress resulting from infection, and the corresponding inflammatory response together contribute to organ damage accrued during infection. The collective result of this damage can be acutely life-threatening, but among survivors, it also contributes to the long-lasting sequelae of pneumococcal disease. These include the development of new morbidities or exacerbation of pre-existing conditions such as COPD, heart disease, and neurological impairments. Currently, pneumonia is ranked as the 9^th leading cause of death, but this estimate only considers short-term mortality and likely underestimates the true long-term impact of disease. Herein, we review the data that indicates damage incurred during acute pneumococcal infection can result in long-term sequelae which reduces quality of life and life expectancy among pneumococcal disease survivors.

Investigation of drug-related problems in patients hospitalized in chest disease wards: A randomized controlled trial

Objective: According to the World Health Organization (WHO), chest diseases are among the 10 diseases that cause the highest mortality worldwide. Drug-related problems (DRPs), readmission, and antimicrobial resistance are critical problems in chest disease wards. Active involvement of clinical pharmacists (CPs) who are focused on reducing the risks of potential problems is needed. The aim of this study is to investigate the effects of pharmaceutical care (PC) services on the pulmonology service. Method: A randomized controlled trial at a university hospital in Istanbul was conducted between June 2020 and December 2021. The participants were randomized into the control group (CG) and intervention group (IG). In the CG, CPs identified and classified the DRPs according to Pharmaceutical Care Network Europe v9.0 (PCNE) and provided solutions to DRPs for the IG. The effect of PC services was evaluated by the number and classification of DRPs, and readmissions within 30 days were compared between the two groups. Results: Out of 168 patients, 82 were assigned to the IG. The average number of medicines administered per patient in the CG and IG was 14.45 ± 7.59 and 15.5 ± 6.18, respectively. In the CG and IG, the numbers of patients with DRPs were 62 and 46, respectively. The total number of DRPs was 160 for CG and 76 for IG. A statistically significant difference was found in favor of the IG, in terms of the number of patients with DRPs, the total number of DRPs, and readmission within 30 days (p < 0.05). Conclusion: In this study, CP recommendations were highly accepted by the healthcare team. Pharmaceutical care services provided by CPs would decrease possible DRPs and led to positive therapeutic outcomes. Cognitive clinical pharmacy services have beneficial effects on health care, and these services should be expanded in all settings where patients and pharmacists are present.

Incorporation of Suppression of Tumorigenicity 2 into Random Survival Forests for Enhancing Prediction of Short-Term Prognosis in Community-ACQUIRED Pneumonia

(1) Background: Biomarker and model development can help physicians adjust the management of patients with community-acquired pneumonia (CAP) by screening for inpatients with a low probability of cure early in their admission; (2) Methods: We conducted a 30-day cohort study of newly admitted adult CAP patients over 20 years of age. Prognosis models to predict the short-term prognosis were developed using random survival forest (RSF) method; (3) Results: A total of 247 adult CAP patients were studied and 208 (84.21%) of them reached clinical stability within 30 days. The soluble form of suppression of tumorigenicity-2 (sST2) was an independent predictor of clinical stability and the addition of sST2 to the prognosis model could improve the performance of the prognosis model. The C-index of the RSF model for predicting clinical stability was 0.8342 (95% CI, 0.8086–0.8598), which is higher than 0.7181 (95% CI, 0.6933–0.7429) of CURB 65 score, 0.8025 (95% CI, 0.7776–8274) of PSI score, and 0.8214 (95% CI, 0.8080–0.8348) of cox regression. In addition, the RSF model was associated with adverse clinical events during hospitalization, ICU admissions, and short-term mortality; (4) Conclusions: The RSF model by incorporating sST2 was more accurate than traditional methods in assessing the short-term prognosis of CAP patients.

Pham S, P.M. Vo T, X. Duong C, A. Perwitasari D, H.K. Truong N, T.H. Quach D, N.P. Nguyen T, T.T. Duong V, M. Nguyen P, H. Nguyen T, Taxis K, Nguyen T. Pneumonia: Drug-Related Problems and Hospital Readmissions

Pneumonia is one of the most common infectious diseases and the fourth leading cause of death globally. According to US statistics in 2019, pneumonia is the most common cause of sepsis and septic shock. In the US, inpatient pneumonia hospitalizations account for the top 10 highest medical costs, totaling $9.5 billion for 960,000 hospital stays. The emergence of antibiotic resistance in the treatment of infectious diseases, including the treatment of pneumonia, is a globally alarming problem. Antibiotic resistance increases the risk of death and re-hospitalization, prolongs hospital stays, and increases treatment costs, and is one of the greatest threats in modern medicine. Drug-related problems (DRPs) in pneumonia - such as suboptimal antibiotic indications, prolonged treatment duration, and drug interactions - increase the rate of antibiotic resistance and adverse effects, thereby leading to an increased burden in treatment. In a context in which novel and effective antibiotics are scarce, mitigating DRPs in order to reduce antibiotic resistance is currently a prime concern. A variety of interventions proven useful in reducing DRPs are antibiotic stewardship programs, the use of biomarkers, computerized physician order entries and clinical decision support systems, and community-acquired pneumonia scores.

Prognosis of COVID-19 pneumonia can be early predicted combining Age-adjusted Charlson Comorbidity Index, CRB score and baseline oxygen saturation

In potentially severe diseases in general and COVID-19 in particular, it is vital to early identify those patients who are going to progress to severe disease. A recent living systematic review dedicated to predictive models in COVID-19, critically appraises 145 models, 8 of them focused on prediction of severe disease and 23 on mortality. Unfortunately, in all 145 models, they found a risk of bias significant enough to finally "not recommend any for clinical use". Authors suggest concentrating on avoiding biases in sampling and prioritising the study of already identified predictive factors, rather than the identification of new ones that are often dependent on the database. Our objective is to develop a model to predict which patients with COVID-19 pneumonia are at high risk of developing severe illness or dying, using basic and validated clinical tools. We studied a prospective cohort of consecutive patients admitted in a teaching hospital during the "first wave" of the COVID-19 pandemic. Follow-up to discharge from hospital. Multiple logistic regression selecting variables according to clinical and statistical criteria. 404 consecutive patients were evaluated, 392 (97%) completed follow-up. Mean age was 61 years; 59% were men. The median burden of comorbidity was 2 points in the Age-adjusted Charlson Comorbidity Index, CRB was abnormal in 18% of patients and basal oxygen saturation on admission lower than 90% in 18%. A model composed of Age-adjusted Charlson Comorbidity Index, CRB score and basal oxygen saturation can predict unfavorable evolution or death with an area under the ROC curve of 0.85 (95% CI 0.80-0.89), and 0.90 (95% CI 0.86 to 0.94), respectively. Prognosis of COVID-19 pneumonia can be predicted without laboratory tests using two classic clinical tools and a pocket pulse oximeter.

Age, Pulse, Urea, and Albumin Score: A Tool for Predicting the Short-Term and Long-Term Outcomes of Community-Acquired Pneumonia Patients With Diabetes

OBJECTIVE

The predictive performances of CURB-65 and pneumonia severity index (PSI) were poor in patients with diabetes. This study aimed to develop a tool for predicting the short-term and long-term outcomes of CAP in patients with diabetes.

METHODS

A retrospective study was conducted on 531 CAP patients with type 2 diabetes. The short-term outcome was in-hospital mortality. The long-term outcome was 24-month all-cause death. The APUA score was calculated according to the levels of Age (0-2 points), Pulse (0-2 points), Urea (0-2 points), and Albumin (0-4 points). The area under curves (AUCs) were used to evaluate the abilities of the APUA score for predicting short-term outcomes. Cox regression models were used for modeling relationships between the APUA score and 24-month mortality.

RESULTS

The AUC of the APUA score for predicting in-hospital mortality was 0.807 in patients with type 2 diabetes (P<0.001). The AUC of the APUA score was higher than the AUCs of CURB-65 and PSI class (P<0.05). The long-term mortality increased with the risk stratification of the APUA score (low-risk group (0-1 points) 11.5%, intermediate risk group (2-4 points) 16.9%, high risk group (≥5 points) 28.8%, P<0.05). Compared with patients in the low-risk group, patients in the high-risk group had significantly increased risk of long-term death, HR (95%CI) was 2.093 (1.041~4.208, P=0.038).

CONCLUSION

The APUA score is a simple and accurate tool for predicting short-term and long-term outcomes of CAP patients with diabetes.

How Do Geriatric Scores Predict 1-Year Mortality in Elderly Patients with Suspected Pneumonia?

Background: Pneumonia has an impact on long-term mortality in elderly patients. The risk factors associated with poor long-term outcomes are understated. We aimed to assess the ability of scores that evaluate patients’ comorbidities (cumulative illness rating scale—geriatric, CIRS-G), malnutrition (mini nutritional assessment, MNA) and functionality (functional independence measure, FIM) to predict 1-year mortality in a cohort of older patients having a suspicion of pneumonia. Methods: Our prospective study included consecutive patients over 65 years old and hospitalized with a suspicion of pneumonia enrolled in a monocentric cohort from May 2015 to April 2016. Each score was analysed in univariate and multivariate models and logistic regressions were used to identify contributors to 1-year mortality. Results: 200 patients were included (51% male, mean age 83.8 ± 7.7). Their 1-year mortality rate was 30%. FIM (p < 0.01), CIRS-G (p < 0.001) and MNA (p < 0.001) were strongly associated with poorer long-term outcomes in univariate analysis. CIRS-G (p < 0.05) and MNA (p < 0.05) were significant predictors of 1-year mortality in multivariate analysis. Conclusion: Long-term prognosis of patients hospitalized for pneumonia was poor and we identified that scores assessing comorbidities and malnutrition seem to be important predictors of 1-year mortality. This should be taken into account for evaluating elderly patients’ prognosis, levels and goals of care.

RDW-based clinical score to predict long-term survival in community-acquired pneumonia: a European derivation and validation study

An excess long-term mortality has been observed in patients who were discharged after a community-acquired pneumonia (CAP), even after adjusting for age and comorbidities. We aimed to derive and validate a clinical score to predict long-term mortality in patients with CAP discharged from a general ward. In this retrospective observational study, we derived a clinical risk score from 315 CAP patients discharged from the Internal Medicine ward of Cuneo Hospital, Italy, in 2015-2016 (derivation cohort), which was validated in a cohort of 276 patients discharged from the pneumology service of the Barakaldo Hospital, Spain, from 2015 to 2017, and from two internal medicine wards at the Turin University and Cuneo Hospital, Italy, in 2017. The main outcome was the 18-month follow-up all-cause death. Cox multivariate analysis was used to identify the predictive variables and develop the clinical risk score in the derivation cohort, which we applied in the validation cohort. In the derivation cohort (median age: 79 years, 54% males, median CURB-65 = 2), 18-month mortality was 32%, and 18% in the validation cohort (median age 76 years, 55% males, median CURB-65 = 2). Cox multivariate analysis identified the red blood cell distribution width (RDW), temperature, altered mental status, and Charlson Comorbidity Index as independent predictors. The derived score showed good discrimination (c-index 0.76, 95% CI 0.70-0.81; and 0.83, 95% CI 0.78-0.87, in the derivation and validation cohort, respectively), and calibration. We derived and validated a simple clinical score including RDW, to predict long-term mortality in patients discharged for CAP from a general ward.

Evaluation of severity scoring systems in patients with severe community acquired pneumonia

BACKGROUND

The aim of this study was to evaluate the ability of severity scoring systems to predict 30-day mortality in patients with severe community-acquired pneumonia.

METHODS

The study included 98 patients aged ≥18 years with community acquired pneumonia hospitalized at the Intensive Care Unit of the University Clinic for Infectious Diseases in Skopje, Republic of North Macedonia, during a 3-year period. We recorded demographic, clinical and common biochemical parameters. Five severity scores were calculated at admission: CURB 65 (Confusion, Urea, Respiratory Rate, Blood pressure, Age ≥65 years), SCAP (Severe Community Acquired Pneumonia score), SAPS II (Simplified Acute Physiology Score), SOFA (Sequential Organ Failure Assessment Score) and MPM (Mortality Prediction Model). Primary outcome variable was 30-day in-hospital mortality.

RESULTS

The mean age of the patients was 59.08 ± 15.76 years, predominantly males (68%). The overall 30-day mortality was 52%. Charlson Comorbidity index was increased in non-survivors (3.72 ± 2.33) and was associated with the outcome. All severity indexes had higher values in patients who died, that showed statistical significance between the analysed groups. The areas under curve (AUC) values of the five scores for 30-day mortality were 0.670, 0.732, 0,726, 0.785 and 0.777, respectively.

CONCLUSION

Widely used severity scores accurately detected patients with pneumonia that had increased risk for poor outcome, but none of them individually demonstrated any advantage over the others.

Population-based incidence and mortality of community-acquired pneumonia in Germany

Background

Little information on the current burden of community-acquired pneumonia (CAP) in adults in Germany is available.

Methods

We conducted a retrospective cohort study using a representative healthcare claims database of approx. 4 million adults to estimate the incidence rates (IR) and associated mortality of CAP in 2015. IR and mortality were stratified by treatment setting, age group, and risk group status. A pneumonia coded in the primary diagnosis position or in the second diagnosis position with another pneumonia-related condition coded in the primary position was used as the base cases definition for the study. Sensitivity analyses using broader and more restrictive case definitions were also performed.

Results

The overall IR of CAP in adults ≥18 years was 1,054 cases per 100,000 person-years of observation. In adults aged 16 to 59 years, IR for overall CAP, hospitalized CAP and outpatient CAP was 551, 96 and 466 (with a hospitalization rate of 17%). In adults aged ≥60 years, the respective IR were 2,032, 1,061 and 1,053 (with a hospitalization rate of 52%). If any pneumonia coded in the primary or secondary diagnosis position was considered for hospitalized patients, the IR increased 1.5-fold to 1,560 in the elderly ≥60 years. The incidence of CAP hospitalizations was substantially higher in adults ≥18 years with at-risk conditions and high-risk conditions (IR of 608 and 1,552, respectively), compared to adults without underlying risk conditions (IR 108). High mortality of hospitalized CAP in adults ≥18 was observed in-hospital (18.5%), at 30 days (22.9%) and at one-year (44.5%) after CAP onset. Mortality was more than double in older adults in comparison to younger patients.

Conclusion

CAP burden in older adults and individuals with underlying risk conditions was high. Maximizing uptake of existing vaccines for respiratory diseases may help to mitigate the disease burden, especially in times of strained healthcare resources.

Percutaneous endoscopic gastrostomy feeding effects in patients with neurogenic dysphagia and recurrent pneumonia

Background:

Percutaneous endoscopic gastrostomy (PEG) feeding provides enteral nutrition to patients with neurological dysphagia. However, the conditions in which PEG should be applied to prevent pneumonia remain unclear. We aimed to evaluate the effect of PEG for patients with neurological dysphagia in preventing pneumonia.

Methods:

We undertook a retrospective data review of 232 patients with neurological dysphagia who had undergone PEG from January 2008 to December 2018 at Inha University Hospital, in Incheon, Korea. We excluded patients who had not been followed up 6 months pre- and post-PEG feeding. In total, our study comprised 42 patients. We compared pneumonia episodes and incidence pre- and post-PEG.

Results:

During the median post-PEG follow-up period, the 6-month pneumonia incidence among patients who had undergone PEG had decreased [median 0.3 (interquartile range (IQR) 0.0–0.7) versus 0.1 (IQR 0.1–0.3) episodes, p = 0.04]. In a multiple mixed model, PEG did not decrease the incidence of pneumonia (p = 0.76). However, the association between PEG and the incidence of pneumonia differed significantly depending on the presence or absence of recurrent pneumonia (p < 0.001).

Conclusions:

PEG could effectively reduce the incidence of pneumonia in patients with neurogenic dysphagia, especially in those who had experienced recurrent pneumonia.

The reviews of this paper are available via the supplemental material section.

Charlson Comorbidity Index and other predictors of in-hospital mortality among adults with community-acquired pneumonia

Objective:

To compare the performance of Charlson Comorbidity Index (CCI) with those of the mental Confusion, Urea, Respiratory rate, Blood pressure, and age = 65 years (CURB-65) score and the Pneumonia Severity Index (PSI) as predictors of all-cause in-hospital mortality in patients with community-acquired pneumonia (CAP).

Methods:

This was a cohort study involving hospitalized patients with CAP between April of 2014 and March of 2015. Clinical, laboratory, and radiological data were obtained in the ER, and the scores of CCI, CURB-65, and PSI were calculated. The performance of the models was compared using ROC curves and AUCs (95% CI).

Results:

Of the 459 patients evaluated, 304 met the eligibility criteria. The all-cause in-hospital mortality rate was 15.5%, and 89 (29.3%) of the patients were admitted to the ICU. The AUC for the CCI was significantly greater than those for CURB-65 and PSI (0.83 vs. 0.73 and 0.75, respectively).

Conclusions:

In this sample of hospitalized patients with CAP, CCI was a better predictor of all-cause in-hospital mortality than were the PSI and CURB-65.

Burden of pneumococcal pneumonia requiring ICU admission in France: 1-year prognosis, resources use, and costs

Background

Community-acquired pneumonia (CAP), especially pneumococcal CAP (P-CAP), is associated with a heavy burden of illness as evidenced by high rates of intensive care unit (ICU) admission, mortality, and costs. Although well-defined acutely, determinants influencing long-term burden are less known. This study assessed determinants of 28-day and 1-year mortality and costs among P-CAP patients admitted in ICUs.

Methods

Data regarding all hospital and ICU stays in France in 2014 were extracted from the French healthcare administrative database. All patients admitted in the ICU with a pneumonia diagnosis were included, except those hospitalized for pneumonia within the previous 3 months. The pneumococcal etiology and comorbidities were captured. All hospital stays were included in the cost analysis. Comorbidities and other factors effect on the 28-day and 1-year mortality were assessed using a Cox regression model. Factors associated with increased costs were identified using log-linear regression models.

Results

Among 182,858 patients hospitalized for CAP in France for 1 year, 10,587 (5.8%) had a P-CAP, among whom 1665 (15.7%) required ICU admission. The in-hospital mortality reached 22.8% at day 28 and 32.3% at 1 year. The mortality risk increased with age > 54 years, malignancies (hazard ratio (HR) 1.54, 95% CI [1.23–1.94], p = 0.0002), liver diseases (HR 2.08, 95% CI [1.61–2.69], p < 0.0001), and the illness severity at ICU admission. Compared with non-ICU-admitted patients, ICU survivors remained at higher risk of 1-year mortality. Within the following year, 38.2% (516/1350) of the 28-day survivors required at least another hospital stay, mostly for respiratory diseases. The mean cost of the initial stay was €19,008 for all patients and €11,637 for subsequent hospital stays within 1 year. One-year costs were influenced by age (lower in patients > 75 years old, p = 0.008), chronic cardiac (+ 11% [0.02–0.19], p = 0.019), and respiratory diseases (+ 11% [0.03–0.18], p = 0.006).

Conclusions

P-CAP in ICU-admitted patients was associated with a heavy burden of mortality and costs at one year. Older age was associated with both early and 1-year increased mortality. Malignant and chronic liver diseases were associated with increased mortality, whereas chronic cardiac failure and chronic respiratory disease with increased costs.

Trial registration

N/A (study on existing database)

Specific pathogens as predictors of poor long-term prognosis after hospital discharge for community-acquired pneumonia

BACKGROUND

Some studies have reported that long-term prognosis after pneumonia is poor. Our aim was to determine predictors of long-term outcomes with special attention to community-acquired pneumonia (CAP) etiology.

METHODS

We studied 1930 patients who were hospitalized with CAP from January 2002 through November 2017 at Saitama Cardiovascular and Respiratory Center and were discharged alive. We conducted a retrospective study for calculation of survival rate using the Kaplan-Meier method and analysis of prognostic factors by multivariate analysis using a Cox proportional hazard model.

RESULTS

The median follow-up period was 442.5 (range 1-5514) days. During this period, 321 patients died. Median survival time was 11.9 years, and 1-year and 5-year survival rates were 93.8% and 74.0%, respectively. Among the patients' demographics factors, old age, poor performance status (PS) score, pneumococcal vaccination history, some underlying respiratory diseases, and chronic heart failure were significant independent factors of poor prognosis. Among pathogens, Streptococcus pneumoniae (hazard ratio [HR]: 1.35, 95% confidence interval [CI]: 1.03, 3.07, P = 0.038) and Pseudomonas aeruginosa (HR: 1.68, 95% CI: 1.07, 2.64, P = 0.024) were significant independent factors of poor prognosis, whereas influenza virus tended to predict a good prognosis (HR: 0.60, 95% CI: 0.36, 1.02, P = 0.058). Respiratory disease accounted for 59% of all causes of death after CAP, and the rate of death from pneumonia was the largest at 22%.

CONCLUSION

Not only age, general condition, and comorbidities but also specific pathogens were predictors of long-term prognosis after hospital discharge for CAP.

Impact of frailty on 30-day and 1-year mortality in hospitalised elderly patients with community-acquired pneumonia: a prospective observational study

OBJECTIVES

This study evaluates the impact of frailty, which is a state of increased vulnerability to stressors, on 30-day and 1-year mortality among elderly patients with community-acquired pneumonia (CAP). The main hypothesis is that frailty is an independent predictor of prognosis in elderly CAP patients.

DESIGN

Prospective, observational, follow-up cohort study.

SETTING

A 2000-bed tertiary care hospital in Beijing, China.

PARTICIPANTS

Consecutive CAP patients aged ≥65 years admitted to the geriatric department of our hospital between September 2017 and February 2019.

MAIN OUTCOME MEASURES

The primary outcomes were all-cause mortality at 30 days and 1 year after hospital admission. The impact of frailty (defined by frailty phenotype) on 30-day and 1-year mortality of elderly patients with CAP was assessed by Cox regression analysis.

RESULTS

The cohort included 256 patients. The median (IQR) age was 86 (81-90) years, and 180 (70.3%) participants were men. A total of 171/256 (66.8%) patients were frail. The prevalence of frailty was significantly associated with older age, female gender, lower body mass index, comorbidities, limitations in activities of daily living (ADLs) and poor nutritional status. Frail participants were significantly more likely to have severe CAP (SCAP) than non-frail counterparts (28.65% vs 9.41%, p<0.001). The 1-year mortality risk was approximately threefold higher in frail patients (adjusted HR, 2.70; 95% CI, 1.69 to 4.39) than non-frail patients. Subgroup analysis of patients with SCAP showed that the 1-year mortality risk was approximately threefold higher in the frail group (adjusted HR, 2.87; 95% CI, 1.58 to 4.96) than in the non-frail group. The association between frailty and 30-day mortality was not significant.

CONCLUSIONS

These findings suggest that frailty is strongly associated with SCAP and higher 1-year mortality in elderly patients with CAP, and frailty should be detected early to improve the management of these patients.

Prognostic Implications of Preoperative Pneumonia for Geriatric Patients Undergoing Hip Fracture Surgery or Arthroplasty

Objective

To report outcomes of geriatric patients undergoing hip fracture surgery or arthroplasty with or without preoperative pneumonia and to evaluate the influence of pneumonia severity on patient prognosis.

Methods

In this single center retrospective study, we included geriatric patients (≥60 years old) who had undergone hip fracture surgery or arthroplasty at Peking University People's Hospital from January 2008 to September 2018. Patients with fractures caused by neoplasms or patients with incomplete clinical data were excluded. Using logistic regression and the CURB‐65 (confusion, uremia, respiratory rate, blood pressure, and age ≥65 years) score as a prediction tool of 1‐year mortality, the effect of preoperative pneumonia on 1‐year mortality was evaluated. Survival of patients with different response to pneumonia‐specific therapy and survival of patients with different pneumonia severity (evaluated with CURB‐65 score) were analyzed using Cox regression.

Results

A total of 1386 patients were included; among them, 109 patients (7.86%) were diagnosed with preoperative pneumonia. Outcomes were evaluated in August 2019 (at least 1 year after surgery for all patients). Compared to patients without preoperative pneumonia, patients with this condition had higher 30‐day mortality (11.9% vs 5%, P = 0.002) and 1‐year mortality rates (33.9% vs 16.3%, P < 0.001) and higher incidence of acute heart failure (7.3% vs 3.4%, P = 0.034) and acute kidney injury (5.5% vs 1.8%, P = 0.009). In multivariate regression, preoperative pneumonia was identified as an independent predictor of 1‐year mortality (odds ratio [OR], 1.45; 95% confidence interval [CI] 1.39–3.52; P = 0.021), with other factors including age (≥84 years, OR, 1.46; 95% CI 1.08–1.60; P = 0.027), body mass index (<18.5 kg/m², OR 2.23; 95% CI 1.52–3.17, P < 0.001), anesthesia type (regional, OR 0.87; 95% CI 0.19–0.97, P = 0.042), preoperative pneumonia (OR 1.45; 95% CI 1.39–3.52; P = 0.002), congestive heart failure (OR 2.05, 95% CI 1.57–6.21, P < 0.001), chronic kidney disease (OR 1.73; 95% CI 1.50–2.62; P < 0.001). There was a trend of increased 1‐year mortality as the CURB‐65 score elevated (P for trend = 0.006). Cox regression reveals a higher risk of mortality in patient with preoperative pneumonia, especially in patients with no radiologic improvements after therapy (log‐rank, P = 0.035). Analysis of the impact of pneumonia severity on patient survival using Cox regression reveals that a CURB‐65 score ≥3 indicated a lower rate of survival (CURB‐65 score of 3: hazard ratio [HR] 3.12, 95% CI 1.39–7.03, P = 0.006; score of 4: HR 3.41, 95% CI 1.69–6.92, P = 0.001; score of 5: HR 6.28, 95% CI 2.95–13.35, P < 0.001).

Conclusion

In this single center retrospective study, preoperative pneumonia was identified as an independent risk factor of 1‐year mortality in geriatric patients undergoing hip fracture surgery or arthroplasty. A CURB‐65 score ≥3 indicated a higher risk of mortality.

Subspecies-specific sequence detection for differentiation of Mycobacterium abscessus complex

Mycobacterium abscessus complex (MABC) is a taxonomic group of rapidly growing, nontuberculous mycobacteria that are found as etiologic agents of various types of infections. They are considered as emerging human pathogens. MABC consists of 3 subspecies—M. abscessus subsp. bolletti, M. abscessus subsp. massiliense and M. abscessus subsp. abscessus. Here we present a novel method for subspecies differentiation of M. abscessus named Subspecies-Specific Sequence Detection (SSSD). This method is based on the presence of signature sequences present within the genomes of each subspecies of MABC. We tested this method against a virtual database of 1505 genome sequences of MABC. Further, we detected signature sequences of MABC in 45 microbiological samples through DNA hybridization. SSSD showed high levels of sensitivity and specificity for differentiation of subspecies of MABC, comparable to those obtained by rpoB sequence typing.

[The new comprehension of pulmonary infections]

Epidemiological data on the distribution of mostly bacterial pathogens are still the basis for empirical treatment recommendations on respiratory infections. Because of the dynamic technological developments in molecular multiplexing and sequencing procedures, the spectrum of potential pathogens is increased and challenges the current dogma of virulence and pathogenicity of certain pathogens. Classical pathogens of the lungs are thereby not questioned but are increasingly placed in a context that reflects co-infections with viruses and changes of the local microbiome in more depth. Recent data indicate that integration of this novel information is required for a better understanding of the seasonal differences in the frequency of particular lung infections and to find new approaches to risk stratification of patients. This becomes most obvious in the subgroup of immunosuppressed patients who are at risk of severe courses of diseases with higher morbidity and mortality from infections with viruses and facultative pathogens, such as nontuberculous mycobacteria (NTM). Based on the fundamental knowledge on the spectrum of pathogens of community-acquired and nosocomial lung infections, novel approaches in pathogen diagnostics and lung microbiome analytics are discussed and the applicability with respect to the current clinical routine is questioned.

Antibiotic de-escalation therapy in patients with community-acquired nonbacteremic pneumococcal pneumonia

Background De-escalation therapy is recommended as an effective antibiotic treatment strategy for several infectious diseases. While there is limited evidence supporting its clinical and cost-effective outcomes in patients with community-acquired bacteremic pneumonia, there is no evidence in patients with nonbacteremic pneumonia. Objective This study aimed to evaluate the antibiotic costs in patients who did and did not receive de-escalation therapy, based on the 2017 Japanese guidelines for the management of community-acquired nonbacteremic pneumococcal pneumonia of the Japanese Respiratory Society (JRS). Setting Kobe university hospital, Japan. Methods A retrospective case series review including antibiotic use and length of hospital stay was conducted using the medical records from April 2008 to May 2019 at a university hospital in Japan. Main outcome measure Impact of antibiotic de-escalation therapy on the antibiotic costs. Results Among 55 patients who were eligible, the treating physicians de-escalated antibiotics in 28 (51%). The differences in the median length of hospital stay and the incidence of adverse drug reactions between the two groups were not statistically significant (p = 0.67 and 1.0, respectively). However, the median total antibiotic cost per infected patient in the de-escalated group was significantly lower than that in the non-de-escalated group [$269.8 ($195-$389) vs. $420.5 ($221-$799), p = 0.048]. Conclusion Antibiotic de-escalation based on the 2017 JRS guidelines leads to a reduction in total antibiotic costs for the management of community-acquired nonbacteremic pneumococcal pneumonia.

Potential drug-drug interactions among pneumonia patients: do these matter in clinical perspectives?

BACKGROUND

Pneumonia patients are usually hospitalized due to severe nature of the disease or for the management of comorbid illnesses or associated symptoms. Such patients are prescribed with multiple medications which increase the likelihood of potential drug-drug interactions (pDDIs). Therefore, in this study the prevalence, levels (severity and documentation), predictors (risk factors), and clinical relevance of pDDIs among inpatients diagnosed with pneumonia have been investigated.

METHODS

Clinical records of 431 hospitalized patients with pneumonia were checked for pDDIs using drug interactions screening software (Micromedex-DrugReax). Odds-ratios for predictors were calculated using logistic regression analysis. Clinical relevance of pDDIs was assessed by evaluation of patients' clinical profiles for potential adverse outcomes of the most frequent pDDIs. Abnormal patients' signs/symptoms and laboratory investigations indicating adverse outcomes of interactions were reported.

RESULTS

Of total 431 profiles, pDDIs were reported in 73.1%. Almost half of the profiles were having major-pDDIs (53.8%). Total number of pDDIs were 1318, of which 606 were moderate- and 572 were major-pDDIs. Patient's profiles identified with the most frequent interactions were presented with signs, symptoms, and abnormalities in labs indicating decrease therapeutic response, electrolyte abnormalities, hypoglycemia, bleeding, hepatotoxicity, and hypertension. These adverse events were more prevalent in patients taking higher doses of the interacting drugs as compared to lower doses. Logistic regression analysis revealed significant association for major-pDDIs with 6-10 prescribed medicines (OR = 26.1; p = 0.002), > 10 prescribed medicines (OR = 144; p <  0.001), and tuberculosis (OR = 8.2; p = 0.004).

CONCLUSIONS

PDDIs are highly prevalent in patients with pneumonia. Most frequent and clinically important pDDIs need particular attention. Polypharmacy and tuberculosis increase the risk of pDDIs. Identifying patients more at risk to pDDIs and careful monitoring of pertinent signs/symptoms and laboratory investigations are important measures to reduce pDDIs and their related adverse consequences.

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.

How can we improve clinical research in pneumonia?

PURPOSE OF REVIEW

The primary challenges in the field of clinical research include a lack of support within existing infrastructure, insufficient number of clinical research training programs and a paucity of qualified mentors. Most medical centers offer infrastructure support for investigators working with industry sponsors or government-funded clinical trials, yet there are a significant amount of clinical studies performed in the field of pneumonia which are observational studies. For this type of research, which is frequently unfunded, support is usually lacking.

RECENT FINDINGS

In an attempt to optimize clinical research in pneumonia, at the University of Louisville, we developed a clinical research coordinating center (CRCC). The center manages clinical studies in the field of respiratory infections, with the primary focus being pneumonia. Other activities of the CRCC include the organization of an annual clinical research training course for physicians and other healthcare workers, and the facilitation of international research mentoring by a process of connecting new pneumonia investigators with established clinical investigators.

SUMMARY

To improve clinical research in pneumonia, institutions need to have the appropriate infrastructure in place to support investigators in all aspects of the clinical research process.

Factors associated with mortality in severe community-acquired pneumonia: A multicenter cohort study

OBJECTIVE

Describe characteristics and outcomes of CAP admitted to public ICUs in Brazil.

METHODS

Retrospective cohort study in 4 Tertiary Public Hospitals in Rio de Janeiro, Brazil during 2016. Patients admitted to ICUs with a diagnosis of community-acquired pneumonia were included. Clinical and outcomes data were collected from Epimed Monitor System.

RESULTS

From 7902 admissions, 802 patients (10, 1%) were included and analyzed. Main source of admission was the emergency department (78, 3%). Median age was 66 (IQR 54-77) years, SAPS3 71(IQR 58-83) and SOFA D1 9(IQR 5-12) points. 67% of patients needed invasive mechanical ventilation, 12% hemodialysis. 47% required vasopressors. ICU and hospital mortality were 55.9% and 66.5% respectively. In a multivariate analysis, malnutrition [OR 2.28(1.21-4.3)], septic shock at admission [OR 1.95(1.39-2.75)], AIDS [3.04(1.16-7.93]), invasive mechanical ventilation [5.07(5.54-7.27)], age > 65 years [2.07(1.48-2.90)] and LOS >1 day before ICU admission [1.90(1.34-2.71)] were associated with increased mortality.

CONCLUSION

CAP is associated with high mortality in patients admitted to public ICUs in Brazil. The current findings may help improve resource allocation and should aim at improving access to ICU care since delayed admission was associated with increased hospital mortality.

Incremental risk of long-term mortality with increased burden of comorbidity in hospitalized patients with pneumonia

BACKGROUND

Patients hospitalized for pneumonia often have concurrent comorbid conditions (CCs). The influence of CCs on the risk of subsequent death is not fully understood.

METHODS

We examined adults hospitalized for pneumonia between 1996 through 2015 at Mayo Clinic for the presence of 20 priori selected CCs. We estimated cumulative all-cause mortality by number of CCs using multivariable Cox regression model.

RESULTS

Study comprised of 9580 adults (age 70 ± 17.0 years, men 53%, whites 88%) with median number of CCs 3 (interquartile 1-4), and overall deaths 6032 (62.9%) during 50,934 person-years of follow up (118.5 deaths/1000 person-years). After adjustment, any single comorbid condition was associated with 9% greater risk of death (95% confidence interval 1.08-1.11, P < 0.0001). When study cohort was stratified according to number of comorbidities (none, 1, 2, 3, 4, 5, and ≥6 CCs), the risk of death increased as the number of CCs increased (33 for no CCs vs 252 deaths for ≥6 CCs per 1000 person-years).

CONCLUSIONS

Long-term mortality after hospitalization for pneumonia increases as the burden of comorbidities increases. Therefore, a simple comorbidity count help improve prognostic accuracy in identifying patients at increased risk of death following an episode of pneumonia.

Incidence of pneumonia in nursing home residents in Germany: results of a claims data analysis

Pneumonia is one of the most common infectious diseases with a high mortality, especially in the elderly population. To date, there have been only a few population-based studies dealing with the incidence of pneumonia in nursing homes (NHs). We conducted a cohort study using data from a large German statutory health insurance fund. Between 2010 and 2014, 127 227 NH residents 65 years and older were analysed. For the calculation of incidences per 100 person-years (PY) and 95% confidence intervals (CIs), we assessed the first diagnosis of pneumonia during the time in NH. We compared the rates between sexes, age groups, care levels, and comorbidities and we performed a multivariate Cox regression analysis. The mean age in the cohort was 84.0 years (74.6% female). A total of 19 183 incident cases led to an overall 5-year-incidence of 11.8 per 100 PY (95% CI 11.7-12.0). The incidence in men was substantially higher than in women. Rates were highest in the first month after NH placement. Our study revealed that the incidence of pneumonia is high in German NH residents and especially in males. Due to demographic changes, pneumonia will likely be increasingly relevant in the health care of the elderly and institutionalised population.

Pneumonia in the Noninstitutionalized Older Population

BACKGROUND

Pneumonia is a common and potentially serious disease, with an incidence of ca. 300 per 100 000 persons per year. Until now, there have been only a few population-based studies of risk factors for pneumonia.

METHODS

From 2000 to 2002, nearly 10 000 persons aged 50 to 75 were recruited into the prospective ESTHER cohort study while visiting their family physician for a check-up. The mean duration of follow-up was 10.6 years. Data on newly diagnosed pneumonia were acquired from the participants and their physicians by means of standardized questionnaires. Potential associations with various predictors were studied in survival-time regression models.

RESULTS

435 participants had pneumonia at least once during follow-up. The cumulative 10-year-incidence was 4.5% (95% confidence interval [4.0; 4.9]). Multiple regression revealed that age (relative risk [RR]: 1.43 [1.22; 1.67] per 10 years), current cigarette smoking (RR: 1.56 [1.19; 2.05], compared with never having smoked), and known congestive heart failure (RR: 1.65 [1.24; 2.20]) were independently associated with an elevated risk of pneumonia. The risk was insignificantly elevated in persons with diabetes mellitus (RR: 1.29 [0.98; 1.68]). Alcohol consumption, obesity, stroke, and cancer were not associated with an elevated risk of pneumonia in age- and sex-adjusted analyses.

CONCLUSION

Pneumonia plays an important role in the medical care of non-institutionalized older people. With the aid of the predictors identified in this study, primary care physicians can identify patients at risk, smokers can gain additional motivation to quit, treatment compliance can be increased, and patients may become more willing to be vaccinated as recommended in the current guidelines.

Pharmacotherapy for community-acquired pneumonia in the elderly

INTRODUCTION

Community-acquired pneumonia (CAP) is an increasing problem in the elderly that is associated with elevated morbidity and mortality. Given the expected increased life expectancy, this problem is only likely to worsen, so it has been considered that treatment effects must be examined separately in elderly adults with CAP. Areas covered: In this narrative review, we give an update of the available data of antibiotics for elderly patients with CAP. Clinical features, drug pharmacokinetics and pharmacodynamics, adverse effects, and outcomes differ in CAP depending on patient age. Older age, for example, can affect the effect of specific antibiotic regimens on important CAP clinical outcomes. Current guidelines do not offer specific recommendations for the management of CAP in elderly patients. Expert opinion: Most of our knowledge about the treatment of CAP in elderly patients has been gained from studies in young populations. However, elderly patients with CAP deserve special attention because there are several factors in this population that could influence their response to antibiotic regimens in CAP.

Five-year mortality in patients treated for severe community-acquired pneumonia - a retrospective study

BACKGROUND

The mortality rate in patients with severe community-acquired pneumonia (SCAP) is high. We investigated the 5-year mortality rate and causes of death in a patient population treated for SCAP in our intensive care unit (ICU), and compared the mortality rate in patients with or without chronic obstructive pulmonary disease (COPD) as comorbidity.

METHODS

This retrospective study, which covers a period of 10 years, included patients aged > 18 years admitted to our ICU with SCAP as primary diagnosis and in need of mechanical ventilation for more than 24 h. Data were collected from the ICU internal database and the patients' medical records. The times of death were collected from the Norwegian National Registry, and the causes of death from the Norwegian Cause of Death Registry.

RESULTS

Hundred and seventy three patients were included in the study. The 5-year mortality rate for the total study population was 57.2%. There were no significant differences in the mortality rate between the group with COPD and the group without COPD (61.2% vs. 54.7%, P = 0.43). There was a wide range of comorbidities. The most common were COPD, myocardial infarction and diabetes mellitus. The two main causes of death after discharge were COPD (17 deaths) and cardiovascular diseases (seven deaths).

CONCLUSIONS

The 5-year mortality rate of the study population was high (57.2%). COPD did not seem to be a risk factor for mortality compared to non-COPD patients. The most common causes of death after discharge were COPD and cardiovascular diseases.

Improving outcomes in community-acquired pneumonia

PURPOSE OF REVIEW

Community-acquired pneumonia (CAP) is a pervasive disease that is encountered in outpatient and inpatient settings. CAP is the leading cause of death from an infectious disease and accounts for significant worldwide morbidity and mortality. This update reviews current advances that can be used to promote improved outcomes in CAP.

RECENT FINDINGS

Early recognition of CAP and its severe presentations, with appropriate site of care decisions, leads to reduced patient mortality. In addition to traditional prognostic tools, certain serum biomarkers can assist in defining disease severity and guide treatment and management strategies. The use of macrolides as part of combination antibiotic therapy has shown beneficial mortality effects across the CAP disease spectrum, especially for those with severe illness. When treating community-associated, methicillin-resistant Staphylococcus aureus pneumonia, use of an antitoxin antibiotic is likely to be valuable. Adjunctive therapy with corticosteroids may prevent delayed clinical resolution in selected patients with severe CAP. Recent data expand on the interaction of CAP with comorbid disease, particularly cardiovascular disease, and its impact on mortality in CAP patients.

SUMMARY

Improved diagnostic tools, optimized treatment regimens, and enhanced understanding of CAP-induced perturbations in comorbid disease states hold promise to improve patient outcomes.

Mortality in Patients Admitted for Concurrent COPD Exacerbation and Pneumonia

It is unclear whether concurrent pneumonia and chronic obstructive pulmonary disease (COPD) have a higher mortality than either condition alone. Further, it is unknown how this interaction changes over time. We explored the effect of pneumonia and COPD on inpatient, 30-day and overall mortality. We used a Veterans Health Affairs database to compare patients who were hospitalized for a COPD exacerbation without pneumonia (AECOPD), patients hospitalized for pneumonia without COPD (PNA) and patients hospitalized for pneumonia who had a concurrent diagnosis of COPD (PCOPD). We studied records of 15,065 patients with the following primary discharge diagnoses: (a) AECOPD cohort (7,154 individuals); (b) PNA cohort (4,433 individuals); and (c) PCOPD (3,478 individuals), comparing inpatient, 30-day and overall mortality in the three study cohorts. We observed a stepwise increase in inpatient mortality for AECOPD, PNA and PCOPD (4.8%, 9.5% and 13.2%, respectively). These differences persisted at 30 days post-discharge (AECOPD = 6.7%, PNA = 12.4% and PCOPD = 14.6%; p < 0.0001), but not throughout the study period (median follow-up: 37 months). With time, the death rate rose disproportionally in patients who had been admitted for AECOPD (AECOPD = 64.5%; PNA = 57.4% and PCOPD 66.2%; p < 0.001). In multivariate analysis, PCOPD predicted the greatest inpatient mortality (p < 0.001). The data showed a progression in inpatient and 30-day mortality from AECOPD to PNA to PCOPD. Pneumonia and COPD differentially affected inpatient, 30-day and overall mortality with pneumonia affecting predominantly inpatient and 30-day mortality while COPD affecting the overall mortality.

A New Prognosis Score to Predict Mortality After Acute Pneumonia in Very Elderly Patients

OBJECTIVES

Acute pneumonia (AP) induces an excess of mortality among the elderly. We evaluated the value of a new predictive biomarker index compared to usual prognosis scores for predicting in-hospital and 1-year mortalities in elderly inpatients with AP.

DESIGN

Retrospective study in 6 clinical departments of a university hospital.

SETTING

Burgundy university hospital (France).

PARTICIPANTS

All patients aged 75 and over with AP and hospitalized between January 1 and June 30, 2013, in the departments of medicine (5) and intensive care (1) of our university hospital.

MEASUREMENTS

A new index, which we named UBMo, was created by multiplying the uremia (U in the formula) by the N-terminal-pro-brain natriuretic peptide (NT-proBNP) plasmatic rate (B), divided by the monocyte count (Mo).

RESULTS

Among the 217 patients included, there were 138 community-acquired pneumonia, 56 nursing home-acquired pneumonia, and 23 hospital-acquired pneumonia. In-hospital and 1-year mortality rates were respectively 19.8% and 43.8%. In multivariate analysis, Pneumonia Severity Index (PSI), unlike CURB-65 (confusion, urea >7 mmol/L, respiratory rate ≥30 breaths/min, blood pressure <90 mmHg systolic or ≤60 mmHg diastolic, age ≥65) score, was associated with in-hospital and 1-year mortalities. UBMo index performed better than PSI and CURB-65 scores in predicting both in-hospital and 1-year mortalities. For in-hospital mortality, the areas under the receiver operating characteristic curves (AUCs) were 0.89 (95% CI = 0.84-0.94), 0.72 (95% CI = 0.65-0.80), and 0.63 (95% CI = 0.54-0.72), respectively, for the 3 scores. For 1-year mortality, the AUCs were 0.93 (95% CI = 0.89-0.98), 0.66 (95% CI = 0.59-0.74), and 0.58 (95% CI = 0.50-0.66), respectively, for the 3 scores. The cut point for the UBMo index of 20,000 × 10^-9 ng·mmol/L had a sensitivity of 93.1% and 80.9% and a specificity of 76.3% and 95.8%, respectively, for in-hospital and 1-year mortalities.

CONCLUSION

If confirmed by prospective studies, the UBMo index appears very efficient in identifying patients at high risk of in-hospital and 1-year mortalities after an AP.

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.

Risk Factors for Long-Term Mortality after Hospitalization for Community-Acquired Pneumonia: A 5-Year Prospective Follow-Up Study

BACKGROUND

Contributors to long-term mortality in patients with community-acquired pneumonia (CAP) remain unclear, with little attention paid to pneumonia etiology. We examined long-term survival, causes of death, and risk factors for long-term mortality in adult patients who had been hospitalized for CAP, with emphasis on demographic, clinical, laboratory, and microbiological characteristics.

METHODS

Two hundred and sixty-seven consecutive patients admitted in 2008-2011 to a general hospital with CAP were prospectively recruited and followed up. Patients who died during hospital stay were excluded. Demographic, clinical, and laboratory data were collected within 48 hours of admission. Extensive microbiological work-up was performed to establish the etiology of CAP in 63% of patients. Mortality data were obtained from the Norwegian Cause of Death Registry. Cox regression models were used to identify independent risk factors for all-cause mortality.

RESULTS

Of 259 hospital survivors of CAP (median age 66 years), 79 (30.5%) died over a median of 1,804 days (range 1-2,520 days). Cumulative 5-year survival rate was 72.9% (95% CI 67.4-78.4%). Standardized mortality ratio was 2.90 for men and 2.05 for women. The main causes of death were chronic obstructive pulmonary disease (COPD), vascular diseases, and malignancy. Independent risk factors for death were the following (hazard ratio, 95% CI): age (1.83 per decade, 1.47-2.28), cardiovascular disease (2.63, 1.61-4.32), COPD (2.09, 1.27-3.45), immunocompromization (1.98, 1.17-3.37), and low serum albumin level at admission (0.75 per 5 g/L higher, 0.58-0.96), whereas active smoking was protective (0.32, 0.14-0.74); active smokers were younger than non-smokers (P < 0.001). Microbial etiology did not predict mortality.

CONCLUSIONS

Results largely confirm substantial comorbidity-related 5-year mortality after hospitalization for CAP and the impact of several well-known risk factors for death, and extend previous findings on the prognostic value of serum albumin level at hospital admission. Pneumonia etiology had no prognostic value, but this remains to be substantiated by further studies using extensive diagnostic microbiological methods in the identification of causative agents of CAP.