Skip to main content
BMJ Open Diabetes Research & Care logoLink to BMJ Open Diabetes Research & Care
. 2016 May 20;4(1):e000181. doi: 10.1136/bmjdrc-2015-000181

Diabetes hinders community-acquired pneumonia outcomes in hospitalized patients

M Martins 1,2,3, J M Boavida 1, J F Raposo 1,2, F Froes 4, B Nunes 5, R T Ribeiro 1,2, M P Macedo 1,2, C Penha-Gonçalves 3
PMCID: PMC4879333  PMID: 27252873

Abstract

Objectives

This study aimed to estimate the prevalence of diabetes mellitus (DM) in hospitalized patients with community-acquired pneumonia (CAP) and its impact on hospital length of stay and in-hospital mortality.

Research design and methods

We carried out a retrospective, nationwide register analysis of CAP in adult patients admitted to Portuguese hospitals between 2009 and 2012. Anonymous data from 157 291 adult patients with CAP were extracted from the National Hospital Discharge Database and we performed a DM-conditioned analysis stratified by age, sex and year of hospitalization.

Results

The 74 175 CAP episodes that matched the inclusion criteria showed a high burden of DM that tended to increase over time, from 23.7% in 2009 to 28.1% in 2012. Interestingly, patients with CAP had high DM prevalence in the context of the national DM prevalence. Episodes of CAP in patients with DM had on average 0.8 days longer hospital stay as compared to patients without DM (p<0.0001), totaling a surplus of 15 370 days of stay attributable to DM in 19 212 admissions. In-hospital mortality was also significantly higher in patients with CAP who have DM (15.2%) versus those who have DM (13.5%) (p=0.002).

Conclusions

Our analysis revealed that DM prevalence was significantly increased within CAP hospital admissions, reinforcing other studies’ findings that suggest that DM is a risk factor for CAP. Since patients with CAP who have DM have longer hospitalization time and higher mortality rates, these results hold informative value for patient guidance and healthcare strategies.

Keywords: Risk Factors, Adult Diabetes, Community Health


Key messages.

  • Diabetes mellitus increases the risk for hospitalisation of patients with community-acquired pneumonia.

  • Episodes of community-acquired pneumonia in patients with diabetes mellitus require a longer hospital stay.

  • Diabetes mellitus impacts on mortality of hospitalized patients with community-acquired pneumonia.

Introduction

Diabetes mellitus (DM) is a significant public health burden, representing one of the most common chronic diseases worldwide and being associated with high morbidity and mortality.1 The increasing prevalence of DM and other comorbidities has been suggested as a driving factor for the rising burden of infection-related hospitalizations.2–4 Respiratory infections are among the major infections associated with diabetes.5 Community-acquired pneumonia (CAP) is one of the most frequent infections requiring hospital admissions in developed countries;6 it ranks among the top causes of death and is a major driver of healthcare utilization and cost.7–9 In Portugal, a retrospective study with data from 2000 to 2009 reported that admissions for CAP represented 3.7% of total admissions of adult patients.10 Association of DM with CAP hospitalizations has been suggested previously.8 9 11–14 However, information regarding the burden and outcomes of DM in patients with CAP, and particularly its relationship with hospitalization and in-hospital mortality, is still limited.

Recommendations of flu and pneumococcal vaccination of patients with DM by medical societies and several health authorities reflect the notion that people with diabetes are at increased risk of respiratory infections.1 Within the European context, Portugal presents one of the highest rates of DM. The PREVADIAB study estimated that the nationwide prevalence of DM in 2009 was 11.7% within the adult population (20–79 years).15 Since 2003, the annual rate of new DM cases in Portugal increased by 3.8% on average. 16 In 2012, people with diabetes represented 14% of the patients admitted to the Portuguese hospital public system, and 23.5% of in-hospital mortality involved patients with DM.16

Robust information on the impact of DM among the population hospitalized with CAP is critical to ascertain the differential risk of patients with DM and to design effective preventive care strategies. Hence, we have carried out a retrospective analysis of the Portuguese hospital registers of adult patients hospitalized with CAP between 2009 and 2012. We aimed to estimate the prevalence of DM among this population and the impact of DM on length of hospital stay and in-hospital mortality.

Methods

Data sources

Data were retrieved from the Central Administration of the Health System of the Portuguese Ministry of Health that contains administrative and clinical data on all admissions to National Health System hospitals, covering the vast majority of Portugal's mainland population.

The clinical information, including case identification (namely the clinical diagnosis of CAP and DM) and procedures, is encoded from the details of the hospital discharge report by medical doctors who were specially trained in hospital coding, using the International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM).17 The coding is audited periodically by the ACSS (Administração Central do Sistema de Saúde; Central Administration of the Health System) in Portugal. This type of methodology has been previously used and validated in other studies.10 Anonymized data were extracted from the National Hospital Discharge Database from 2009 to 2012. Research was conducted according to the principles of the Declaration of Helsinki. Anonymized data were retrieved from an administrative database. Once it is not possible to identify, by any means, an individual patient, ethical approval was not required and informed consent not sought.

Study population and eligibility

Subjects included in the study were patients aged 20–79 years with CAP diagnosis as the main cause of admission (ICD-9-CM 480-486 and 487.0). Data for analysis were clean from day cases and hospitalizations >90 days. To avoid overestimation from repeated admissions, diagnostic codes recorded within 28 days of one another for the same individual were attributed to a single infection episode, with the index date defined by the first diagnostic code. We excluded from the analysis individuals who were immunocompromised by anticancer or immunosuppressive treatment (external cause of disease code E933.1) and transplant recipients (V42) and patients with HIV (ICD-9-CM 042-044). Within the selected subjects, we looked for concomitant diagnosis of diabetes in the discharge records (ICD-9-CM 250), to differentiate two groups of individuals, CAP with or without DM. Nationwide DM statistics from 2009 to 2012 were retrieved from the national diabetes prevalence study (PREVADIAB).15 For comparison purposes, age range (20–79 years) and age stratification (age groups: 20–39, 40–59 and 60–79 years) followed the PREVADIAB study. Information on the population size of mainland Portugal was provided by the Instituto Nacional de Estatística (http://www.ine.pt) and corresponds to estimates of the resident population at the end of each year, according to age and sex.

Data analysis

CAP with DM (CAP-DM) was compared with CAP without DM for age and gender biases, hospitalization time and mortality rate, across age groups and over the 2009–2012 period. Categorical variables were described using counts and percentages while continuous variables were expressed as the mean and SD. The median and IQRs are also shown to take into account the non-normal distribution of continuous variables under analysis (Shapiro-Wilk test). Significant differences between groups were detected by χ2 test or Fisher exact test for categorical variables, and by the Student's t-test or Mann-Whitney test for continuous variables, as appropriate. Analysis of hospital length of stay and in-hospital mortality used univariate analysis of variance (ANCOVA), adjusted for age and gender. The Cochran-Armitage test was performed for a trend analysis of diabetes prevalence changes over time (from 2009 to 2012). All the calculations presented were obtained using the statistical software package PASW Statistics 19.0 (SPSS Inc.) and the Microsoft Excel 2007 spreadsheet (Microsoft Corp., Redmond, Washington, USA). A p value of <0.05 was considered statistically significant. All reported p values are two-tailed.

Results

From the initial 157 291 registers of CAP admissions, from 2009 to 2012 (37 989–40 200/year), after applying the exclusion criteria and selecting the target age range (20–79), we analyzed 74 175 episodes of CAP hospitalizations, of which 19 212 (25.9%) corresponded to people with DM (table 1).

Table 1.

Patients with CAP with and without DM hospitalized in Portugal between 2009 and 2012 (age range 20–79 years)

CAP-DM CAP-without-DM p Value
n (%) 19 212 (25.9) 54 963 (74.1)
Mean±SD Age, years 69.4±9.2 62.7±14.9
Median (IQR) Age, years 72 (65–76) 67 (53–75) <0.0001
Male/female, n (%) 11 231/7981 (58.5/41.5) 34 027/20 936 (61.9/38.1) <0.0001
Mean±SD, hospitalization days 12.0±10.5 11.2±10.1
Median (IQR) hospitalization days 9 (6–14) 8 (5–13) <0.0001
In-hospital mortality, n (%) 2918 (15.2) 7427 (13.5) 0.002

Significant differences between groups were detected by means of χ2 test for categorical variables, and by the Student's t-test or Mann-Whitney test for continuous variables, as appropriate. Univariate analysis of variance (ANCOVA), adjusted for age and gender was used to compare hospital length of stay and in-hospital mortality between the two groups.

Significant p values are highlighted in bold.

CAP, community-acquired pneumonia; CAP-DM, DM in CAP; DM, diabetes mellitus.

The median age of the cohort was 72 (IQR, 65–76 years) for CAP-DM, and 67 (IQR, 53–75 years) for CAP without DM, indicating that patients with DM were significantly older (p<0.0001). We performed an age-stratified analysis of 2009–2012 data to ascertain whether the observed effects are more prominent in specific strata. In the three age groups (20–39; 40–59 and 60–79 years), patients with CAP-DM were always significantly older (p<0.0001) (table 2). Although the age distribution was skewed to old ages both in patients with CAP with or without DM, it is worth noting that the age group 60–79 represented over 86% of the patients with CAP-DM, while the age group 20–39 was under-represented (1.2%) (table 2 and figure 1). The median age showed a trend to increase from 2009 to 2012, most prominently in patients with CAP without DM (from 66 years in 2009 to 69 years in 2012), but the patients with CAP-DM were always significantly older (p<0.0001) (table 3).

Table 2.

Age-stratified analysis of patients with CAP with or without DM hospitalized in Portugal between 2009 and 2012

20–39 years old
40–59 years old
60–79 years old
CAP-DM CAP-without-DM p Value CAP-DM CAP-without-DM p Value CAP-DM CAP-without-DM p Value
n (%) 231 (1.2) 5580 (10.2) 2403 (12.5) 13 222 (24.0) 16 578 (86.3) 36 161 (65.8)
Mean±SD Age, years 33.4±5.2 31.5±5.6 53.0±5.0 50.7±5.7 72.3±5.3 71.9±5.6
Median (IQR) age, years 35 (30–38) 33 (27–36) <0.0001 54 (50–57) 51 (46–56) <0.0001 73 (69–77) 63 (68–77) <0.0001
Male/female, n (%) 124/107 (53.7/46.3) 3176/2404 (56.9/43.1) 0.365 1567/836 (65.2/34.8) 8504/4718 (64.3/35.7) 0.413 9540/7038 (57.5/42.5) 22 347/13 814 (61.8/38.2) <0.0001
Mean±SD, hospitalization days 11.2±11.6 8.7±8.1 11.5±10.2 10.4±9.4 12.1±10.5 11.9±10.5
Median (IQR) hospitalization days 8 (5–13) 7 (4–10) <0.0001 9 (6–13) 8 (5–12) <0.0001 9 (6–14) 9 (6–14) 0.0110
In-hospital mortality, n (%) 13 (5.6%) 185 (3.3%) 0.064 186 (7.7%) 1067 (8.1%) 0.079 2719 (16.4%) 6175 (17.1%) 0.033

Significant differences between groups were detected by means of χ2 test for categorical variables, and by the Student t test or Mann-Whitney test for continuous variables, as appropriate. Univariate analysis of variance (ANCOVA), adjusted for age and gender was used to compare hospital length of stay and in-hospital mortality between the two groups.

Significant p values are highlighted in bold.

CAP, community-acquired pneumonia; CAP-DM, DM in CAP; DM, diabetes mellitus.

Figure 1.

Figure 1

Age distribution of CAP with diabetes and CAP without diabetes (2009 to 2012) shows a stronger skewedness to old ages in patients with CAP-DM. CAP, community-acquired pneumonia; CAP-DM, DM in CAP; DM, diabetes mellitus.

Table 3.

Patients with CAP with or without DM hospitalized in Portugal between 2009 and 2012 (age range 20–79 years, analyzed by year)

2009
2010
2011
2012
CAP-DM CAP-without-DM p Value CAP-DM CAP-without-DM p Value CAP-DM CAP-without-DM p Value CAP-DM CAP-without-DM p Value
n (%) 4842 (23.7) 15 574 (76.3) 4554 (25.8) 13 103 (74.2) 4931 (26.3) 13 795 (73.7) 4885 (28.1) 12 491 (71.9)
Mean±SD age, years 68.8±9.6 61.5±15.3 69.7±9.0 62.9±14.9 69.3±9.2 62.5±15.1 69.9±8.8 64.4±13.8
Median (IQR) age, years 72 (64–76) 66 (51–74) <0.0001 72 (66–76) 68 (53–75) <0.0001 72 (65–76) 67 (53–75) <0.0001 73 (66–76) 69 (56–76) <0.0001
Male/female, n (%) 2785/2057 (57.5/42.5) 9435/6139 (60.6/39.4) <0.0001 2709/1845 (59.5/40.5) 8252/4851 (63.0/37.0) <0.0001 2895/2036 (58.7/41.3) 8509/5286 (61.7/38.3) <0.0001 2842/2043 (58.2/41.8) 7831/4660 (62.7/37.3) <0.0001
Mean±SD, Hospitalization days 11.9±10.4 10.9±9.9 12.2±10.7 11.4±10.5 12.1±10.5 11.3±10.1 12.1±10.5 11.3±9.8
Median (IQR) hospitalization days 9 (6–14) 8 (5–13) 0.020 9 (6–14) 8 (5–14) 0.037 9 (6–14) 8 (5–14) 0.09 9 (6–14) 8 (6–14) 0.006
In-hospital mortality, n (%) 715 (14.8) 1974 (12.7) 0.160 729 (16.0) 1871 (14.3) 0.114 730 (14.8) 1841 (13.3) 0.137 744 (15.2) 1741 (13.9) 0.068

Significant differences between groups were detected by means of χ2 test for categorical variables, and by the Student's t-test or Mann-Whitney test for continuous variables, as appropriate. Univariate analysis of variance (ANCOVA), adjusted for age and gender, was used to compare hospital length of stay and in-hospital mortality between the two groups.

Significant p values are highlighted in bold.

CAP, community-acquired pneumonia; CAP-DM, DM in CAP; DM, diabetes mellitus.

The prevalence of CAP, irrespective of DM co-occurrence, was higher among men than women (table 1). However, the male/female ratio was significantly different between the two groups (p<0.0001), with patients with CAP-DM showing a lower proportion of men (58.5%) when compared to patients with CAP without DM (61.9%) (table 1). This gender difference increased from the age group 20–39 years to 40–59 years, then decreasing in the age group 60–79 years, possibly reflecting the decreased male/female ratio in the general elderly population (table 2). Nevertheless, men were more likely to experience CAP infections than women in all age groups. During the analysis period, the percentage of males varied between 57.5% and 59.5% in CAP-DM, and 60.6%–63.0% in CAP without DM (table 3). Interestingly, the burden of DM in CAP was more pronounced in women (25.1%) than in men (22.8%).

Analysis adjusted for sex and age revealed that the average length of stay was significantly longer in CAP-DM cases (p<0.0001), with an average length of stay of 12.0±10.5 vs 11.2±10.1 days. This difference was observed for all age groups but was highest in the younger age stratum (20–39 years; +2.5 days) in comparison with the older stratum (60–79 years; +0.2 days). In the 2009–2012 period, the average length of stay was consistently higher in CAP-DM cases when compared to CAP without DM, with the difference in length of stay varying from+0.8 to+1.0 days totalling an estimated increase of 15 370 days of stay attributable to DM in over 19 000 episodes (table 3), which represent ∼0.93% of total hospital admissions (according to Froes et al10).

Interestingly, in-hospital mortality (20–79 years), adjusted for sex and age, was significantly higher in patients with CAP who have DM (15.2%) as compared to patients with CAP without DM (13.5%) (p=0.002) (table 1). From 2009 to 2012, in-hospital mortality was always higher in patients with CAP who have DM (14.8–16.0%) as compared to patients with CAP without DM (12.7–14.3%) (table 3). However, when analyzing by age group, increased mortality of patients with DM was only observed in the youngest age group. Furthermore, in-hospital mortality in older strata revealed that patients with CAP without DM show a trend to higher mortality. This apparent discrepancy is probably due to the under-representation of the youngest age group (20–39 years) in patients with CAP-DM (1.2%) as compared to patients with CAP without DM (10.2%) (table 2).

We found that the DM burden in CAP episodes steadily increased over time, from 23.7% in 2009 to 28.1% in 2012 (table 3), representing a trend of increasing DM prevalence among patients with CAP (Cochran-Armitage test; p value <2.2×10−16). This may result in part from the impact of population ageing since, in our study, there was an increase in the representation of individuals in the 60–79 years age group from 67.5% in 2009 to 75.4% in 2012 (data not shown).

Discussion

Diabetes mellitus has been frequently associated with respiratory infections. We performed a large cohort retrospective study that allowed detailed nationwide estimates of DM prevalence in CAP hospital admissions as well as comparisons to national DM prevalence in Portugal. We found a high burden of DM in patients hospitalized with CAP (25.9%), in agreement with the high rates obtained in previous studies of 21.4% and 16% performed elsewhere.12 18 The burden of DM increased over the period under analysis (2009–2012), similar to what was observed in a recent study estimating the burden of CAP, between 1997 and 2011, in the UK.19 In line with studies that suggest that patients with DM are at higher risk for CAP (reviewed in8), we observed that the DM prevalence in CAP admissions between 2009 and 2012 was consistently higher, and more than double, when compared to the estimations of the DM prevalence in Portugal (figure 2).

Figure 2.

Figure 2

Diabetes prevalence in CAP admissions and the general Portuguese population from 2009 to 2012. Diabetes prevalence in CAP admissions consistently progressed from 2009 to 2012, as compared to the general Portuguese population, in the age range 20–79 years. CAP, community-acquired pneumonia.

Our study covered admissions from all Portuguese public hospitals over a period of 4 years to analyze the impact of DM in CAP hospitalizations. We corrected our analyses for gender and age and excluded immunocompromised individuals. Nevertheless, these analyses have several inherent limitations. The data are derived from a database that did not contain direct clinical measures and we did not have access to clinical records. Therefore, we could not include in the analyses possible confounding factors, namely related to diabetes and CAP severity, therapies and vaccination, smoking history or lifestyles. We have also to take into account that diabetes is a frequent cause for hospitalization, and that this potential bias could overestimate the incidence of diabetes in respiratory infections and lead one to suspect that diabetes is a risk factor for susceptibility.20 In our study, case identification was based in medical record information following the international coding system that was applied by specifically trained medical staff in according a methodology that was previously validated.10 Thus, we reason that misclassification in the hospital discharge database is likely to be relatively small, although underestimation of diabetes in hospital settings has been reported elsewhere.21 Although we did not follow a study design specific to compare the target population with the general population,22 we consider that contrasting our results with the general population in Portugal will help to contextualize the burden of DM in hospitalized patients with CAP.

In agreement with two prospective studies in Spain12 18 we found that age distribution in CAP-DM patients was skewed to older ages as compared to CAP patients without DM, which reflects the age of DM onset. The median age of CAP admissions showed a trend to increase from 2009 to 2012, in accordance with Froes et al,10 which also reported a 5% increase in the average age of patients admitted with CAP between 2000 and 2009 in Portugal. As reported in other studies, CAP infections affected more men than women.10 12 18 Interestingly, the prevalence of diabetes among CAP admissions was higher in women than in men (25.1% vs 22.8%), as opposed to what is observed in the general population (10.2% vs 14.6%) (figure 3), suggesting a higher risk of women with DM to develop CAP infections.

Figure 3.

Figure 3

Gender differences in diabetes prevalence in 2009 in the general Portuguese population patients and in patients with CAP. Diabetes prevalence is higher in women as compare to men in CAP admissions but not in the general Portuguese population.

We found a longer length of stay in patients with CAP with DM, in line with other studies indicating significantly higher rates of hospitalization in patients with CAP-DM.11 12 This may be attributable to effects of diabetes mellitus in exacerbating underlying comorbidities, which is supported by the observation that in the young age range (20–39 years) patients with CAP-DM showed a higher length of stay (table 2). Indeed, Di Yacovo et al18 performed an observational analysis of a prospective cohort of immunocompetent hospitalized adults with CAP and found that patients with DM had distinctive clinical features. Patients with DM had more in-hospital acute metabolic complications18 and more severe pneumonia.12 23 Additionally, it has been shown that patients with CAP with diabetes have a higher frequency of other concomitant conditions,12 including chronic pulmonary diseases (eg, 32.6% in CAP with DM18 and 22% in pneumonia with DM23).

The impact of DM in hospital mortality (table 1) was mainly contributed by the 20–39 age group which showed higher mortality (table 2). This is in agreement with several other studies where patients with DM had a higher risk of death from CAP12 24 or from pneumonia.25 Kornum et al11 also reported that people with diabetes <40 years (15–39 years) were three times more likely to be hospitalized with pneumonia than individuals without diabetes of similar age, with the relative risk decreasing with ageing in individuals with DM. As expected, type 1 diabetes was over-represented in the youngest age group (20–39 years; 26.8%) as compared to the 40–59 and 60–79 age groups (3.3% and 1.4%, respectively). Nevertheless, individuals with type 1 diabetes in the youngest age group showed lower length of hospital stay (10.2±7.1 vs 11.2±11.6) and lower in-hospital mortality (4.2% vs 5.6%) than the total group with DM (type 1+type 2 diabetes), indicating that inclusion of patients with type 1 diabetes did not influence our analysis. On the other hand, we could not ascertain whether the severity of metabolic imbalances, namely ketoacidosis, would contribute to the observed increased mortality in young patients with diabetes.

Taken together, our nationwide results are in line with other reports, suggesting that patients with DM are at increased risk of CAP.8 9 11–14 This longitudinal study provides indications that patients with DM acquiring CAP are older, have a longer hospitalization time and have higher mortality rates as compared to patients with CAP without DM. Our study also highlights that the relative impact of diabetes was greatest in younger adults (20–39 years) and in women. Thus, this nationwide study identified people with DM as a priority group for adoption of general measures to prevent CAP (eg, smoking cessation and control of chronic illnesses), and more specifically for flu and prophylactic pneumococcal vaccination. These results have informative value for strategies of patient guidance and future healthcare policies, particularly in people with diabetes under 40 years and in women with DM.

Acknowledgments

The work presented in this paper was distinguished by the Sociedade Portuguesa de Diabetologia with the prize Professor Manuel Hargreaves/SPD/Novartis.

Footnotes

Contributors: MM, JMB, JFR and MPM designed the study. MM and JMB collected the data. MM, FF, BN, RTR, MPM and CP-G provided quality control and analyzed the data. MM, FF, JMB and CPG interpreted the data. MM and CP-G wrote the article. All authors contributed to the critical revision and final approval of the manuscript.

Funding: This work was supported by a Pfizer Grant to Ernesto Roma Foundation, Grant number FER2014/01 to MM.

Competing interests: None declared.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: The raw data used in this study are held by the Central Administration of the Health System of the Portuguese Ministry of Health.

References

  • 1.American Diabetes Association. Standards of medical care in diabetes-2014. Diabetes Care 2014;37(Suppl 1):S14–80. 10.2337/dc14-S014 [DOI] [PubMed] [Google Scholar]
  • 2.Bardsley M, Blunt I, Davies S et al. . Is secondary preventive care improving? Observational study of 10-year trends in emergency admissions for conditions amenable to ambulatory care. BMJ 2013;3:e002007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Trotter CL, Stuart JM, George R et al. . Increasing hospital admissions for pneumonia, England. Emerging Infect Dis 2008;14:727–33. 10.3201/eid1405.071011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Korbel L, Spencer JD. Diabetes mellitus and infection: an evaluation of hospital utilization and management costs in the United States. J Diabetes Complicat 2015;29:192–5. 10.1016/j.jdiacomp.2014.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Smith SA, Poland GA, American Diabetes Association. Influenza and pneumococcal immunization in diabetes. Diabetes Care 2004;27(Suppl 1):S111–13. [DOI] [PubMed] [Google Scholar]
  • 6.Mandell LA, Wunderink RG, Anzueto A et al. . Infectious Disease Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis 2007;44(Suppl 2):S27–72. 10.1086/511159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Polsky D, Bonafede M, Suaya JA. Comorbidities as a driver of the excess costs of community-acquired pneumonia in U.S. commercially-insured working age adults. BMC Health Serv Res 2012;12:379 10.1186/1472-6963-12-379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Torres A, Blasi F, Dartois N et al. . Which individuals are at increased risk of pneumococcal disease and why? Impact of COPD, asthma, smoking, diabetes, and/or chronic heart disease on community-acquired pneumonia and invasive pneumococcal disease. Thorax 2015;70:984–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Millett ERC, De Stavola BL, Quint JK et al. . Risk factors for hospital admission in the 28 days following a community-acquired pneumonia diagnosis in older adults, and their contribution to increasing hospitalisation rates over time: a cohort study. BMJ Open 2015;5:e008737 10.1136/bmjopen-2015-008737 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Froes F, Diniz A, Mesquita M et al. . Hospital admissions of adults with community-acquired pneumonia in Portugal between 2000 and 2009. Eur Respir J 2013;41:1141–6. 10.1183/09031936.00216711 [DOI] [PubMed] [Google Scholar]
  • 11.Kornum J, Thomsen R, Riis A et al. . Diabetes, glycemic control, and risk of hospitalization with pneumonia. Diabetes Care 2008;8:1541–5. 10.2337/dc08-0138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Falguera M, Pifarre R, Martin A et al. . Etiology and outcome of community-acquired pneumonia in patients with diabetes mellitus. Chest 2005;128:3233–9. 10.1378/chest.128.5.3233 [DOI] [PubMed] [Google Scholar]
  • 13.Almirall J, Bolíbar I, Serra-Prat M et al. , Community-Acquired Pneumonia in Catalan Countries (PACAP) Study Group. New evidence of risk factors for community-acquired pneumonia: a population-based study. Eur Respir J 2008;31:1274–84. [DOI] [PubMed] [Google Scholar]
  • 14.Ishida T, Tachibana H, Ito A et al. . Clinical characteristics of severe community-acquired pneumonia among younger patients: an analysis of 18 years at a community hospital. J Infect Chemother 2014;20:471–6. 10.1016/j.jiac.2014.04.005 [DOI] [PubMed] [Google Scholar]
  • 15.Gardete-Correia L, Boavida JM, Raposo JF et al. . First diabetes prevalence study in Portugal: PREVADIAB study. Diabet Med 2010;27:879–81. 10.1111/j.1464-5491.2010.03017.x [DOI] [PubMed] [Google Scholar]
  • 16.Sociedade Portuguesa de Diabetologia. Diabetes: Factos e Números 2013—Relatório Anual do Observatório Nacional da Diabetes 2013. http://www.apdp.pt/index.php/diabetes/factos-e-numeros/diabetes-factos-e-numeros-2013. Date last updated: 24 February2015 (accessed 22 Sep 2014).
  • 17.International Classification of Diseases, 9th Revision—Clinical Modification. http://www.cdc.gov/nchs/icd/icd9.htm. Date last updated: 18 June 2013 (accessed 27 Jun 2014).
  • 18.Di Yacovo S, Garcia-Vidal C, Viasus D et al. . Clinical features, etiology, and outcomes of community-acquired pneumonia in patients with diabetes mellitus. Medicine (Baltimore) 2013;92: 42–50. 10.1097/MD.0b013e31827f602a [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.McDonald HI, Nitsch D, Millett ER et al. . New estimates of the burden of acute community-acquired infections among older people with diabetes mellitus: a retrospective cohort study using linked electronic health records. Diabet Med 2014;31:606–14. 10.1111/dme.12384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Smith SA, Poland GA. The use of influenza and pneumococcal vaccines in people with diabetes. Diabetes Care 2000;23:95–108. 10.2337/diacare.23.1.95 [DOI] [PubMed] [Google Scholar]
  • 21.Anwar H, Fischbacher CM, Leese G et al. . Assessment of the under-reporting of diabetes in hospital admission data: a study from the Scottish Diabetes Research Network Epidemiology Group. Diabet Med 2011;28:1514–19. 10.1111/j.1464-5491.2011.03432.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Shah BR, Hux JE. Quantifying the risk of infectious diseases for people with diabetes. Diabetes Care 2003;26:510–13. 10.2337/diacare.26.2.510 [DOI] [PubMed] [Google Scholar]
  • 23.Kornum JB, Thomsen RW, Riis A et al. . Type 2 diabetes and pneumonia outcomes: a population-based cohort study. Diabetes Care 2007;30:2251–7. 10.2337/dc06-2417 [DOI] [PubMed] [Google Scholar]
  • 24.Benfield T, Jensen JS, Nordestgaard G. Influence of diabetes and hyperglycaemia on infectious disease hospitalization and outcomes. Diabetologia 2007;50:549–54. 10.1007/s00125-006-0570-3 [DOI] [PubMed] [Google Scholar]
  • 25.Seshasai SR, Kaptoge S, Thompson A et al. , Emerging Risk Factors Collaboration. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med 2011;364:829–41. 10.1056/NEJMoa1008862 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from BMJ Open Diabetes Research & Care are provided here courtesy of BMJ Publishing Group

RESOURCES