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The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia

BMC Infectious Diseases volume 21, Article number: 949 (2021) Cite this article

Abstract

Background

The prognosis of patients hospitalized with community-acquired pneumonia (CAP) with regards to intensive care unit (ICU) admission, short- and long-term mortality is correlated with patient’s comorbidities. For patients hospitalized for CAP, including P-CAP, we assessed the prognostic impact of comorbidities known as at-risk (AR) or high-risk (HR) of pneumococcal CAP (P-CAP), and of the number of combined comorbidities.

Methods

Data on hospitalizations for CAP among the French 50+ population were extracted from the 2014 French Information Systems Medicalization Program (PMSI), an exhaustive national hospital discharge database maintained by the French Technical Agency of Information on Hospitalization (ATIH). Their admission diagnosis, comorbidities (nature, risk type and number), other characteristics, and their subsequent hospital stays within the year following their hospitalization for CAP were analyzed. Logistic regression models were used to assess the associations between ICU transfer, short- and 1-year in-hospital mortality and all covariates.

Results

From 182,858 patients, 149,555 patients aged ≥ 50 years (nonagenarians 17.8%) were hospitalized for CAP in 2014, including 8270 with P-CAP. Overall, 33.8% and 90.5% had ≥ 1 HR and ≥ 1 AR comorbidity, respectively. Cardiac diseases were the most frequent AR comorbidity (all CAP: 77.4%). Transfer in ICU occurred for 5.4% of CAP patients and 19.4% for P-CAP. Short-term and 1-year in-hospital mortality rates were 10.9% and 23% of CAP patients, respectively, significantly lower for P-CAP patients: 9.2% and 19.8% (HR 0.88 [95% CI 0.84–0.93], p < .0001). Both terms of mortality increased mostly with age, and with the number of comorbidities and combination of AR and HR comorbidities, in addition of specific comorbidities.

Conclusions

Not only specific comorbidities, but also the number of combined comorbidities and the combination of AR and HR comorbidities may impact the outcome of hospitalized CAP and P-CAP patients.

Peer Review reports

Introduction

Community-acquired pneumonia (CAP) are a major cause of morbidity and mortality, especially in elderly [1, 2]. Thus, the associated burden increases with the ageing of population [3]. This latter is also associated with an increasing prevalence of patients with comorbidity, and furthermore multiple comorbidities [4].

The pathogens involved in CAP remain often not identified [5]. Bacteriologically confirmed CAPs involve most frequently Streptococcus pneumoniae, at variable rate [2, 5, 6]. Some comorbidities are recognized risk factors for pneumococcal CAP (P-CAP) occurrence and severity, i.e., short-term prognosis; those associated with an intermediate risk, generally in immunocompetent patients, are termed at risk (AR) comorbidities, while those generally associated with immunosuppression or immunodeficiency, i.e., patients with cancer or other causes of immunosuppression or immunodeficiency, are termed high risk (HR) comorbidities [7, 8].

Many studies evaluated the risk factors for the occurrence of CAP and more specifically of P-CAP. Some studies evaluated whether these factors might also be prognostic factors for short-term outcomes, e.g., transfer in ICU or short-term mortality [9,10,11], while the long-term mortality is less often evaluated [11,12,13]. However, only few studies evaluated the prognostic impact of the stacking of several comorbidities, although ageing is so often associated with multiple comorbidities [10]. This knowledge is instrumental to accurately target prevention strategies for CAP and more specifically P-CAP towards at-risk and high-risk patients.

Therefore, we extracted data from an administrative comprehensive database and conducted this study in patients aged 50 years and older and hospitalized for CAP, pneumococcal or not, to provide an accurate picture of comorbidities that are prognostic factors for in-hospital mortality during the initial hospital stay and during subsequent stays within the following year. In addition, the impact of the number, type (at risk (AR) or high-risk (HR) comorbidity), and combination of comorbidities per patient were assessed. For sake of simplicity, we used CAP for all-cause CAP, while P-CAP is used for CAP of pneumococcal origin.

Material and methods

Study objectives

This study aimed at evaluating the impact of comorbidities identified as risk factors for P-CAP occurrence and severity, on short-term outcomes (ICU admission, mortality during the initial hospital stay) and also on 1-year in-hospital mortality, in an exhaustive population of patients aged 50 years or more who are hospitalized in France with CAP, of pneumococcal origin or not.

Comorbidities according to the two commonly defined levels of risk of CAP or P-CAP occurrence, at risk (AR) and high risk (HR) [7, 8], i.e., comorbidities in immunocompetent and immunocompromised patients, respectively, are detailed in the Additional file 1. As one patient can present with several comorbidities that may belong to one or the other risk level, we linked the comorbidity, and not the patient, to its risk level.

Study population

This study was conducted using data of a French clinical and administrative database, the Information Systems Medicalization Program (Programme de Médicalisation des Systèmes d’Information, PMSI) database, which records all discharges of public and private hospitals in France. Data collected on the hospital stay were the month of admission, the length of stay (days), whether the patient was admitted in ICU, and the length of the ICU stay. The main diagnosis leading to hospital admission was coded using the International Statistical Classification of Diseases, 10th Revision (ICD-10) (List of codes: see Additional file 1). A hospital admission for pneumonia was defined as an admission with a principal diagnosis of pneumonia, or a secondary diagnosis of pneumonia if the principal diagnosis was respiratory failure or sepsis. Associated diagnoses might be added in case of concomitant disease that increased the burden of care, or if it was managed during the hospital stay in addition of the management of the main diagnosis. This administrative registry enables to chain all hospital stays of individual patients.

Patients below 50 years old and with a hospital stay with a diagnosis of pneumonia within the previous 3 months were excluded.

For each initial hospital stay, the following individual de-identified data were obtained: demographics (age, gender), hospital main characteristics, patient’s comorbidities according to ICD-10 and recorded within the previous 5 years, the length of the initial hospital stay and in-hospital mortality. For each patient, the characteristics of the subsequent hospital stays within the year following the initial stay were also collected, as were the alcohol and tobacco consumptions. The 1-year in-hospital mortality was defined as death occurring at hospital during the subsequent hospital stays within the year following the initial admission for CAP. Patients were sorted out by age group: 50–69 years old, 70–89 years old, and from 90 years old. Models used the AR or HR comorbidities.

Statistical methodology

All hospital stays were considered to be independent and included into the analyses. Standard descriptive statistics were performed for the whole cohort for the full study period. Described data were summarized as frequency and percentage for categorical variables and median and interquartile or mean and standard deviation for continuous variables.

With regards to comorbidities, the presence of at least one AR or HR comorbidities, the number of AR or HR comorbidities, the combination of AR and HR comorbidities, and the presence of each AR or HR comorbidity separately were considered.

The associations between P-CAP diagnosis and all covariates previously described, and between the transfer into ICU and all covariates previously described, were assessed using logistic regression models adjusted on age and sex. The results were expressed as odd-ratios (OR) and their 95% confidence intervals. Interactions between HR comorbidities and AR comorbidities were tested using Wald tests in logistic models with an interaction term between AR and HR comorbidities. They were all adjusted on age and sex. In addition, the association between occurrence of short-term and 1-year in-hospital death and all covariates previously described were assessed using Cox models adjusted on sex and age.

P-values less than 0.05 were considered significant. All statistical analyses were performed using the SAS software (version 9.4; Cary, NC, USA).

Results

Study population

Of a total of 182,858 patients hospitalized for CAP (i.e., all-cause CAP) in France in 2014 and without any hospitalization for pneumonia within the previous 3 months, those aged at least 50 years were 149,555 (81.8%). From these, a subset of 8270 (5.5%) patients had a P-CAP (Additional file 1: Fig. S1). As the French population over 50 years of age was 23,788,401 in 2014, the national incidence of the hospitalizations for CAP and P-CAP this year reached 629 and 34.8 per 100,000 populations, respectively.

The main characteristics of patients with CAP and more specifically P-CAP are depicted in Table 1. The median age of patients with P-CAP was 73.7 years while those with CAP were aged 78.1 years. The median length of stay of patients with all-causes CAP or more specifically P-CAP was 8 [4-13] and 9 [6-15] days, respectively.

Table 1 Characteristics of patients > 50 years old hospitalized for community-acquired pneumonia all cause, overall and by age group, and for pneumococcal community-acquired pneumonia
Full size table

Prevalence of comorbidities

Among all patients with CAP, and similarly for those with P-CAP, solely a small minority had no comorbidity (10,847 (7.2%) and 570 (6.9%), respectively), and even less had solely HR comorbidities (3,349 (2.2%) and 201 (2.4%), respectively) (Table 1). Except for the youngest patients, more than half of the CAP patients have at least one AR comorbidity; most often cardiac diseases, followed by malnutrition and respiratory chronic diseases (all CAP, 77.4%, 35.0% and 30.6%, respectively). Of note, the cardiac diseases category included hypertension, essential or not. Solid tumor was the most frequent HR comorbidities (all CAP, 24.4%). The comorbidities profile of P-CAP patients was not so different, as described in Table 2.

Table 2 Comorbidity or other characteristics that are risk factors for pneumococcal pneumonia among patients > 50 years old hospitalized for community-acquired pneumonia, after adjustment on age and sex
Full size table

Data on the comorbidities according to the age group are detailed in Tables 1 and 2. Patients with solely HR comorbidities were less frequent when age increased, while it was the contrary for AR comorbidities. AR comorbidities increased with the age of patients, both in terms of prevalence among the patients, and in terms of number per individual patients.

Outcome according to the comorbidities and age

The proportion of patients hospitalized for CAP and requiring to be admitted in ICU was 5.4% (8095/149,555), while 19.4% (1608/8270) patients with P-CAP required an ICU admission (adjusted odds ratio (aOR) 4.31, 95% CI [4.05–4.58], p < 0.0001) (Fig. 1 and Additional file 1: Table S2). CAP patients were less often admitted to ICU if they were older (Odds Ratio (OR) 0.07, 95% CI [0.06–0.08], p < 0.0001), and with comorbidities, HR and AR, and even less often if they cumulated several AR comorbidities (Fig. 1A, and Additional file 1: Table S3).

Fig. 1
figure 1

Impact of the accumulation of comorbidities according to their level of associated risk (high-risk (HR) or at-risk (AR)) on the 1-year in-hospital mortality of patients with community-acquired pneumonia; A transfer into intensive care unit; B 1-year in-hospital mortality. CAP community-acquired pneumonia, P-CAP pneumococcal community-acquired pneumonia, HR high-risk comorbidities (immunodepression, immunodeficiency, cancer), AR at risk comorbidities (comorbidities at risk of pneumococcal CAP in immunocompetent patients), ICU intensive care unit, HR hazard ratio, 95% CI 95% confidence interval

Full size image

Among patients with CAP, the in-hospital mortality during the initial stay reached 10.9%. It increased with age, from 6.0 to 11.3% and 16.8% in the three age groups of patients with CAP, respectively (Additional file 1: Table S4). The subset of patients with P-CAP had a significantly lower early mortality (9.2% vs. 11.0%, hazard ratio (HR) 0.650, 95%CI [0.604–0.699], p < 0.001).

The all-cause 1-year in-hospital mortality rate, i.e., within the year following the hospitalization including the initial stay, was 23.0% and 19.8% for patients hospitalized with CAP and P-CAP, respectively, leading to an annual national in-hospital mortality incidence of 145 and 6.9 per 100,000 populations, respectively. The mortality rate increased with age, from 16.9 to 23.9% and 28.9% in the three age groups of patients with CAP, respectively. The subset of patients with P-CAP had a significantly lower 1-year in-hospital mortality rate (HR 0.88 (95% CI [0.84–0.93], p < 0.0001) (Additional file 1: Table S5).

Patients with HR comorbidities had an increased mortality rate, for CAP as for P-CAP, and patients aged 50–69 years had the highest risk (HR 3.89, 95% CI [3.69–4.10], p < 0.0001) (Fig. 2). Among those patients with HR comorbidities, the 1-year mortality risk was significantly increased, and the highest risk was for those with solid tumor or hematological malignancies (HR 1.80, 95% CI [1.76–1.84], p < 0.0001, and 1.44, 95% CI [1.39–1.49], p < 0.0001, respectively) (Additional file 1: Table S6). The mortality risk increased with the number of cumulated HR comorbidities and with the number of AR comorbidities (Fig. 1B and Additional file 1: Table S6). The mortality risk was also increased for patients with AR. Those with HR and AR comorbidities had a marked increase of their mortality rate, especially in the age group 50–69 years (HR 8.93, 95% CI [7.86–10.13], p < 0.0001). Among AR comorbidities, each of them except diabetes was associated with a significantly increased mortality rate, with Hazard Ratio ranging from 1.58 for malnutrition to 1.04 for chronic respiratory diseases. Among the oldest patients, patients with AR comorbidities did not have a higher mortality risk.

Fig. 2
figure 2

Impact of the accumulation of comorbidities according to their level of associated risk (high-risk or at-risk) on the 1-year in-hospital mortality of patients with CAP, according to their age group, A 50–69 years old, B 70–89 years old, or C 90 and more years old. CAP community-acquired pneumonia, P-CAP pneumococcal community-acquired pneumonia, HR comorbidity high-risk comorbidities (immunodepression, immunodeficiency, cancer), AR comorbidity at risk comorbidities (comorbidities at risk of pneumococcal CAP in immunocompetent patients), HR hazard ratio

Full size image

Discussion

This very large study, based on a comprehensive registry of all hospital admissions for CAP in France over one year, assessed the prognostic impact of risk factors usually more associated with the occurrence of CAP, and more specifically P-CAP, in patients aged 50 and older. These risk factors, sorted in at-risk (AR) comorbidities (generally in immunocompetent patients) and high-risk (HR) comorbidities (generally in immunocompromised patients) were frequent: overall, almost all patients had at least one AR comorbidity, and one out of three had at least one HR comorbidity. Interestingly, the short- and long-term prognosis in terms of in-hospital mortality was not only impacted by the age and by specific comorbidities, but also by the number of stacked comorbidities, and by the combination of AR and HR comorbidities.

This is of utmost importance in an ageing population, as comorbidities are more and more stacking with age increase. Of note, our population of patients with CAP comprised almost 18% nonagenarians and older, similar to that observed in other reports [14, 15]. Other studies showed the increased risk of complications and all-cause deaths of elderly patients compared to the younger ones [10, 15,16,17,18], and more specifically for patients older than 80 years compared to younger ones [10, 15]. We reported a higher 1-year in-hospital mortality rate for CAP patients versus those with P-CAP. A recent study among adult US patients requiring hospitalization for CAP reported a higher 1-year mortality rate, 30.6%, [11] compared to our study, likely because it was not limited to the in-hospital mortality.

We observed an increase of the in-hospital mortality rate with the number of comorbidities, AR or HR comorbidities. The risk was very high when AR comorbidities were combined with HR comorbidities. Of note, the prognostic impact of the number of comorbidities is rarely reported in the literature. In addition, mortality rates are different across countries and their respective Health systems and managements strategies, making any comparison delicate. While a recent Chinese study did not evidence any association between the 60-day mortality and the number of comorbidities (regardless of the type of comorbidities) [15], a higher impact of cumulated risk factors on the 30-day mortality was reported in a US study conducted among Veterans aged 50 and older with pneumococcal infection [19]. The Odds ratio increased from 2.01 (95%CI [1.47–2.75]) for patients with 2 risk factors up to 4.23 (95% CI [2.69–6.65]) for those who stacked 6 risk factors. A study conducted in Spain in adult patients with CAP and using an administrative database showed an increase of mortality with the number of comorbidities (OR 1.35 (95% CI, 1.33–1.38) for patients with ≥ 2 comorbidities versus those with none) [6]. In our study, patients with CAP, including P-CAP, have almost all at least one comorbidity and very often several comorbidities. More than half of patients had only AR comorbidities, and this proportion increased with age, as did the mean number of combined AR comorbidities per patient. Importantly, one patient out of three combined AR and HR comorbidities, while patients with only HR comorbidities were rather rare, and rarer with age. The increased risk of mortality associated with age is furthermore increased by the number of comorbidities that expectedly increases with age, although less in nonagenarians [20, 21]. Therefore, the identification of comorbidities of poor prognosis for patients with CAP is instrumental for an improved management of these patients.

An increased risk of invasive pneumococcal infection was already reported in cancer patients [22, 23]. Our results of higher incidence of pneumococcal infection and of poorer prognosis among cancer patients are of utmost importance, as therapeutic advances in cancer management itself continue to progress and the number of cancer survivors is more and more increasing.

In our study, the AR comorbidities associated with the highest risk of 1-year in-hospital mortality were chronic liver diseases, in CAP and P-CAP patients, particularly in the youngest patients. Malnutrition had also a strong impact on the 1-year mortality risk, as already shown in other studies [13]. Malnutrition may be a complication of other comorbidities such as malignant diseases or chronic liver diseases, or ageing. Importantly, the impact of these comorbidities on the 1-year in-hospital mortality is the strongest for patients aged 50–69 years, an age group with a high incidence of malignant diseases. The prognosis risk specifically associated with cardiac diseases in patients with CAP was already underlined in other studies [10, 18]. The increase of long-term mortality by cardiac complications, involved in one-third of the late-onset deaths, was also reported by others [17, 24]. Of note, our study included arterial hypertension in chronic cardiac diseases.

Given the high incidence of CAP and of P-CAP, their appropriate management, including prevention, is instrumental. P-CAP might be prevented by pneumococcal vaccination. However, studies conducted in France reported a low rate of vaccinated patients among those aged 65 years and older, around 10 to 17% [25,26,27], increasing to 27% (95% CI 21–34) among elderly patients with targeted comorbidities [27]. The recommendations in France at the time of this study were driven by comorbidities, and malignant diseases are listed as HR comorbidity. The increased mortality risk of CAP patients with cancer has already been described [28]. A low rate of vaccinated patients was reported by few studies specifically focused on cancer patients, from 10.1 (95% CI 4.1–16), to 39% (95% CI 33–44) [29]. Healthcare professionals and cancer societies are advocating for increasing the vaccination rate, and some are initiating efficient targeted vaccination programs [30]. The recently revised French recommendations for pneumococcal vaccination do not make any differences anymore between AR and HR comorbidities, consistently with our findings on the impact of these comorbidities on ICU admission and on mortality [31].

This study is unique, as it is a comprehensive collection of all patients hospitalized with CAP in 2014 in France, able to collect all subsequent hospital stays of a patient within the year following his hospital admission. In addition, we were able to ascertain not only the role of each comorbidity, but also the impact of the type of comorbidities, AR or HR, and of their cumulated number, which is rarely assessed.

Nevertheless, this study has also some limitations. We worked on an administrative database, and disease coding is not always very accurate, particularly for CAP [32, 33]. In addition, P-CAP are likely under-reported [34]. However, we used the ICD-10th version of the coding system, which showed more reliability for pneumonia diagnosis, and we combined codes for an improved accuracy [35, 36]. Also, coding rules specify that events occurring during the hospital stay cannot be coded as admission diagnosis; therefore, nosocomial pneumonia should not be included in our study. Second, this administrative database did not provide data on the mortality outside of the hospital. A French study showed that the rate of deaths that occurred at hospital in 2008 ranged around 60% for the patients aged between 40 and 89 years [37]. In addition, the death occurred more frequently at hospital when it was due to pneumonia. These rates were lower among the oldest patients: while more than 60% of the patients younger than 79 died at the hospital, this rate was only 58% among the octogenarians, and dropped to 42% for the nonagenarians. With regards to comorbidities, essential hypertension was included in the cardiac and vascular comorbidities, which is not consensual. In addition, some data were not available, such as data enabling to grade pneumonia severity, immunization status of the patients, microbiological characteristics of the causative strain, or comorbidities severity. Finally, we did not collect data on a reference population in order to evaluate the over-risk of 1-year in-hospital mortality related to the hospitalization for CAP or P-CAP.

Conclusion

The burden of hospitalized CAP, and more specifically P-CAP, is associated to the short-term and long-term prognosis of these patients. This study covering all CAPs hospitalized in France over one year showed that age, and also comorbidities by themselves, are worsening the short- and long-term prognosis of these patients. Importantly, the prognosis is also worsening according to the stacking of comorbidities, and to the combination of comorbidities of medium and high-risk level. Patients with CAP and high-risk comorbidities were more likely transferred to ICU, and this risk increased with the number of stacked comorbidities. Some comorbidities have a strong impact on the 1-year mortality, such as malnutrition, or solid tumors, particularly for those aged 50–69 years, or the stacking of several AR comorbidities, which pleads for increased consideration of these conditions in CAP patients. Of note, nonagenarians are an exception, as their mortality increase seems to be more related to their age itself, rather than to the number of comorbidities.

For optimizing the long-term outcome of patients with CAP, including those with P-CAP, our findings warrant to pay more attention to patients who have some specific comorbidities, such as solid tumors, malnutrition, or chronic liver disease, and, importantly, also to patients who stack several comorbidities putting them at high risk of heavier long-term disease burden.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from Pfizer’s authors upon reasonable request.

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Acknowledgements

Not applicable.

Funding

This work was supported by Pfizer France. The study design and the statistical analysis were devised and performed independently from Pfizer.

Author information

Authors and Affiliations

  1. Pfizer, Paris, France

    E. Blanc & S. Fievez

  2. HEVA, Lyon, France

    G. Chaize, E. Herquelot & A. Vainchtock

  3. EMIBiotech, Paris, France

    C. Féger

  4. ICUREsearch, Paris, France

    C. Féger

  5. Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, APHP, Paris, France

    J. F. Timsit

  6. UMR 1137-IAME Team 5-DeSCID: Decision SCiences in Infectious Diseases Control and Care INSERM/University of Paris, Paris, France

    J. F. Timsit

  7. Infectious Diseases Department, Annecy-Genevois Hospital, Annecy, France

    J. Gaillat

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  1. E. Blanc
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Contributions

EB, SF, CF, JFT and JG contributed to the study design and to the interpretation of the results. GC, EH and AV provided input on the study design, conducted the data analysis and contributed to the interpretation of results. CF drafted the first draft of the manuscript, and all authors contributed to the manuscript, read and approved the final manuscript.

Corresponding author

Correspondence to J. Gaillat.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in full compliance with relevant guidelines and regulations. This study is conducted using anonymized data extracted from an existing database; thus, according to French regulations, there is no need for an informed consent from patients nor for an approval of an Ethic committee.

Consent for publication

Not applicable.

Competing interests

EB and SF are employees of Pfizer France; GC, EH and AV are employees of HEVA, contracted by Pfizer France to conduct the statistical analysis; CF is CEO of EMIBiotech, contracted by Pfizer to contribute to coordinate the study results discussion and the draft of the manuscript; JFT received fees for advisory boards of Astellas, Bayer, Beckton-Dickinson, Gilead, Medimune, Merck, Nabriva, Paratek, Pfizer. The research group of JFT received grants from 3 M, Merck, Pfizer, JFT is the principal investigator of one RCT of community acquired pneumonia sponsored by the French ministry of health (MULTICAP; PHRCN-16-0595; ClinicalTrials.gov Identifier: NCT03452826); JG is member of advisory boards and gave lectures for Pfizer, Sanofi and MSD.

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Supplementary Information

Additional file 1: Figure S1.

Patients flow chart. CAP: community-acquired pneumonia (all causes); P-CAP: community-acquired pneumococcal pneumonia; S. pneumoniae: Streptococcus pneumoniae; ICU: intensive care unit. The short-term deaths are those occurring during the hospital stay related to the CAP management, while the one-year in-hospital deaths are the in-hospital deaths occurring within the year following the initial hospital stay. Table S1. Comorbidities and other characteristics of patients with community-acquired pneumonia of all causes and of those with pneumococcal community-acquired pneumonia, according to the age groups. Table S2. Comorbidities or other characteristics that are risk factors for the admission in intensive care unit for patients with community-acquired pneumonia and those with pneumococcal community-acquired pneumonia, after adjustment on age and sex (Cox univariate model). Table S3. Comorbidity or other characteristics that are risk factors for the transfer in intensive care unit of patients > 50 years old hospitalized for community-acquired pneumonia overall, after adjustment on age and sex, overall and according to their age group (Cox univariate model). Table S4. In-hospital mortality of patients with community-acquired pneumonia according to the comorbidities categories, overall and according to their age group, during the initial hospital stay and during the subsequent hospital stays within the year following the CAP onset. Table S5. Comorbidity or other characteristics that are risk factors for the one-year in-hospital mortality for patients with community-acquired pneumonia and those with pneumococcal community-acquired pneumonia, after adjustment on age and sex (Cox univariate model). Table S6. Comorbidity or other characteristics that are risk factors for the one-year mortality of patients > 50 years old hospitalized for community-acquired pneumonia, after adjustment on age and sex, overall and according to their age group (Cox univariate model).

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Blanc, E., Chaize, G., Fievez, S. et al. The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia. BMC Infect Dis 21, 949 (2021). https://doi.org/10.1186/s12879-021-06669-5

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Keywords

BMC Infectious Diseases

ISSN: 1471-2334

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