Literature DB >> 27589847

Hospitalization costs for community-acquired pneumonia in Dutch elderly: an observational study.

Conrad E Vissink1,2, Susanne M Huijts3,4, G Ardine de Wit3, Marc J M Bonten3,5, Marie-Josée J Mangen3.   

Abstract

BACKGROUND: Community-acquired pneumonia (CAP) is one of the most common infections, especially in the elderly (≥65 years). The aim of this study was to quantify hospitalization costs for CAP in different age groups and in patients with different CAP risk profiles. Secondary objectives were to assess disease severity differences between placebo and vaccine receiving participants and identify cost driving factors of CAP in hospitalized elderly in the Netherlands.
METHODS: This prospective cohort study of hospitalized CAP patients was executed in parallel to the Community Acquired Pneumonia Immunization Trial in Adults (CAPiTA). Within the CAPiTA, a cohort of 84,496 subjects aged ≥65, all suspected CAP-episodes presenting in one of the 58 participating hospitals between September 2008 and August 2013 were included. CAP was diagnosed on clinical and radiographical criteria. Invasive pneumococcal disease (IPD) and non-IPD-CAP episodes, regardless of the causing pathogen, were evaluated separately. Costs were calculated by multiplying recorded healthcare resources with Dutch unit cost prices for the year 2012. Multivariate regression analysis was performed to identify cost drivers.
RESULTS: In the sentinel hospitals 3225 suspected CAP and IPD episodes were included, of which 1933 were radiographically confirmed by chest X-ray. Analyses were conducted on confirmed CAP episodes only. Overall mean length of hospital stay was 12.1 days, the in-hospital mortality rate was 11.26 %, and mean costs were €8301 (95 % CI: €7760-€8999). When stratified in age-categories 65-74, 75-84 and ≥85, mean hospitalization costs were €8674, €8770 and €6197, respectively (p = 0.649). IPD-CAP and non-IPD-CAP mean hospitalization costs were €13,611 and €8081, respectively. Higher CURB-65 score and individuals at medium risk for developing pneumococcal disease were significantly associated with higher costs. Being male, lower age, previous admissions, lower risk, lower urbanity and higher socio-economic status were associated with lower costs.
CONCLUSIONS: Mean hospitalization costs of a CAP subject were €8301 and higher for IPD-CAP compared to non-IPD-CAP cases. Medium risk patients and higher CURB-65 scores were identified as cost driving factors.

Entities:  

Keywords:  Community-acquired pneumonia; Costing study; Elderly; Hospitalization; Invasive pneumococcal disease; Risk-groups

Mesh:

Year:  2016        PMID: 27589847      PMCID: PMC5010739          DOI: 10.1186/s12879-016-1783-9

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Community-acquired pneumonia (CAP) is one of the most common infectious diseases in the world [1-4]. In Europe, the incidence of all-cause CAP (hospitalized and outpatient) in the elderly population (≥65 years) is estimated at 14 per 1000 person years [5, 6]. Approximately 56 % (equal to €5.7 billion) of CAPs economic burden in Europe is ascribed to hospitalization expenses [7]. The other costs can be attributed to outpatient care, loss of workdays and drug expenses. Increasing CAP incidence due to growth of the elderly population in the upcoming years [8-11], more severe episodes due to increasing comorbidity within the aging population [12], and limited economic resources demand for new preventive measures [13]. In Western countries like the Netherlands, new healthcare interventions will be evaluated for their costs and effects and detailed cost estimates are indispensable in this process. However, most larger studies describing CAP costs were conducted retrospectively and based on insurance claims with limited clinical information [4, 14–19]. The few prospective studies on CAP hospitalization costs covered relative small cohorts only [20-22]. The Community Acquired Pneumonia Immunization Trial in Adults trial (CAPiTA), a nation-wide study assessing the efficacy of the 13-valent pneumococcal vaccine (PCV13) in the elderly, created a unique opportunity for quantifying hospitalization costs of CAP [23, 24]. A parallel study was designed to estimate costs for hospitalized CAP patients, including patients with and without invasive pneumococcal disease (IPD), stratified by age- and risk-groups for developing pneumococcal infections and by outcome (i.e. mortality). Secondary objectives were to analyze disease severity differences between PCV13 and placebo cohorts and to identify cost drivers in hospitalized CAP cases.

Methods

Study subjects

The etiology and prognosis of community-acquired pneumonia (Etio-CAP) study is a prospective cohort study conducted in parallel to CAPiTA [23, 24]. In this double blind randomized clinical vaccination trial in the Netherlands, the efficacy of PCV13 in adults was evaluated by vaccinating 84,496 subjects of ≥65 years of age with either placebo or PCV13 with an average follow-up period of 3.97 years [24]. Detailed information, in- and exclusion criteria and outcome measures have been previously described [23, 24]. Follow-up was organized in 59 sentinel centers (58 hospitals and 1 outpatient clinic) between September 2008 and August 2013, where the 58 hospitals participated in the Etio-CAP study. When a CAPiTA-participant was registered to one of these hospitals with a suspicion of pneumonia, regardless of the causing pathogen, clinical data were collected according to the CAPiTA protocol. When admitted, additional data, like use of resources and complications, were collected as part of the Etio-CAP-study.

Definitions

CAP was defined, regardless of the causing pathogen, as the presence of two or more clinical signs of pneumonia together with a chest x-ray consistent with pneumonia [23]. IPD was defined as Streptococcus pneumoniae cultured from a sterile site (e.g. blood). The analysis was conducted for three groups: ‘total CAP’ (i.e. all confirmed CAP cases), non-IPD-CAP (i.e. confirmed CAP cases, no IPD) and ‘IPD-CAP’ (i.e. cases with confirmed CAP and IPD). Subjects with IPD without CAP were not included in the analyses. Admissions within 30 days post-discharge of a suspected CAP hospitalization episode were labeled as a readmission and treated as a continuation of the previous admission with regard to a) diagnosis (CAP or IPD) and b) costs (i.e. resources used in first and following admissions, and associated costs were added up). The study was approved by the Central Committee on Research Involving Human Subjects (CCMO11.0810/TV/NL23014) as a sub-study of the CAPiTA-trial. Therefore no separate informed consent was required for the Etio-CAP study.

Data collection

Data collected included length of stay (LOS) and intensive care unit (ICU) admission, comorbidities at moment of admission (see Additional file 1: Table S1), date of symptom onset and date of symptom relieve. Based on the presence of comorbidities, subjects were stratified into high (i.e. immunocompromised patients), medium (i.e. presence of other chronic conditions) and low risk for pneumococcal infections (Additional file 1: Table S1). Data included for the Etio-CAP-study concerned: mortality (with minimum follow-up of 6 months after hospital admission, i.e. confirmation of vital status by the GP of the participant), laboratory results, number of hospital admissions 1 year prior to index CAP hospitalization episode, diagnostic and therapeutic interventions for both pneumonia and its complications, additional “waiting days” in the hospital (i.e. before home care could be organized), and location of discharge (own home or nursing home). Pneumonia severity was assessed using the Pneumonia severity index (PSI), as described by Fine et al. [25], and CURB-65 [26]. PSI score was categorized into low (score 1 and 2), medium (score 3 and 4) and high (score 5). Based on postal codes, information on socioeconomic status (continues variable from low to high, scores ranging from -5.5 to 3, with lower scores reflecting lower socio-economic status) and urbanity of neighborhood (from high to low; score 1, 2, 3, 4 and 5) was obtained from Statistics Netherlands and referred to the situation in 2010 [27].

Costs

Hospitalization costs were calculated by multiplying recorded units of healthcare resources used with corresponding unit prices (see Additional file 1: Table S2) [28]. Unit costs were either taken from the Dutch manual for healthcare costing research [28, 29] or were calculated from a unit price medium of different hospital price lists available. All costs were expressed for the year 2012, and if necessary, updated using Dutch consumer price indices [30].

Statistical Analysis

Data were analyzed using IBM SPSS Statistics for Windows, Version 20.0. The one-way ANOVA test, Mann-Whitney U-test and the Kruskal-Wallis test were used to compare quantitative variables and the Chi-square test was used for categorical variables. Intubation days at the ICU were recorded in a dichotome (yes or no) and a quantitative way (e.g. number of days of intubation). There were no missing data with the exception of number of intubated ICU days (0.6 %) and number of previous admissions (0.2 %). Missing data were imputated using multiple imputation. A stepwise multiple regression model was used to identify cost drivers with log-transformed hospitalization costs as a dependent variable. Explanatory variables were gender, age, previous admission (categorized as: none, one, two, three or more admissions), smoking status (non-smoker, previous smoker, current smoker), risk-level, socioeconomic status and urbanity, and CURB-65. The latter was used instead of PSI scoring, because of overlapping definitions between PSI and risk levels as both are estimated using comorbidity information. The 95 % confidence interval (CI) was determined using bootstrapping with 1000 iterations. A p-value of <0.05 was considered significant.

Results

Study participants

There were 3225 registered suspected CAP episodes, of which 138 were not hospitalized. Of these suspected and hospitalized CAPs 1154 cases were not confirmed as CAP (i.e. no positive chest X-rays and/or <2 clinical signs of pneumonia) and consequently excluded from the analysis (Fig. 1). Of the remaining 1933 confirmed CAP admissions, 148 were readmissions, yielding 1785 episodes for analysis. Of these, 74 had IPD-CAP and 1714 had non-IPD-CAP) (Fig. 1).
Fig. 1

Flowchart of the study. Legend: *Including 3 readmissions; **Including 145 readmissions. Abbreviations: CAP: community-acquired pneumonia; IPD-CAP: invasive pneumococcal disease

Flowchart of the study. Legend: *Including 3 readmissions; **Including 145 readmissions. Abbreviations: CAP: community-acquired pneumonia; IPD-CAP: invasive pneumococcal disease The majority (73 %) of CAP patients were male, and the mean length of hospitalization was 12.1 days (95 % CI: 2–42 days) consisting of 92 % ward days and 8 % ICU days (Table 1). The 30-day mortality rate of low, medium and high risk-groups was 4, 10.4 and 29.1 %, respectively. Compared to non-IPD-CAP cases, IPD-CAP cases had a longer average duration of stay in hospital (p = 0.028) and in ICU (p = 0.022) (Table 1).
Table 1

Baseline characteristics of study population

Total CAPIPD-CAPnon-IPD-CAP p-value
Admissiona, n1785711714
Age in years, mean (SD)77.4 (6.6)76 (5.5)77.5 (6.7)
Male, n (%)1307 (73.2)43 (60.6)1264 (73.7)*
ReceivedPCV13, n (%)861 (48.2)24 (33.8)837 (48.8)*
Risk group for developing pneumococcal disease, n (%)
 • Low248 (13.9)18 (25.4)230 (13.4)
 • Medium1207 (67.6)47 (66.2)1160 (67.7)
 • High330 (18.5)6 (8.5)324 (18.9)
Length of stay in days, mean (95 % CI)12.1 (11.6–12.6)15.3 (12.3–18.9)12.0 (11.5–12.4)*
 • Ward days, mean (95 % CI)11.1 (10.7–11.6)13.0 (10.3–15.8)11.1 (10.6–11.5)
 • ICU days, mean (95 % CI)1.0 (0.8–1.2)2.4 (0.9–4.2)0.9 (0.7–1.1)*
 • Intubationdays, mean (95 % CI)0.4 (0.3–0.6)1.1 (0.3–2.2)0.4 (0.3–0.6)*
Illness duration in daysb, mean (95 % CI)16.9 (16.3–17.5)c 19.8 (16.1–24.1)16.7 (16.1–17.4)c
Days between onset and hospital admission, mean (95 % CI)4.9 (4.6–5.2)d 4.3 (2.7–6.8)4.9 (4.6–5.3)d
Pneumococcal severity index (PSI), n (%)
 • I-II126 (7.1)5 (7.0)121 (7.1)
 • III-IV1327 (74.3)48 (67.6)1279 (74.6)
 • V332 (18.6)18 (25.4)314 (18.3)
In-hospitalmortality, n (%)201 (11.3)11 (15.5)190 (11.1)
30-day mortality, n (%)235 (13.2)e 11 (15.5)224 (13.1)e
60-day mortality, n (%)300 (16.8)e 12 (16.9)288 (16.8)e
6-months mortality, n (%)444 (24.9)e 18 (25.4)426 (24.9)e
Location of discharge, n (%)1584 (88.7)60 (84.5)1524 (88.9)
 • Home1371 (86.6)51 (85.0)1320 (86.6)
 • Nursing home160 (10.1)8 (13.3)152 (10)
 • Others53 (3.3)1 (1.7)52 (3.4)

*Statistically significant difference between non-IPD-CAP and IPD-CAP

aAdmissions within 30 days post-discharge of a suspected CAP hospitalization episode were labeled as a readmission and analyzed as a continuation of the previous admission

bNumber of days from onset to hospital discharge

c11 with missing data

d9 with missing data

e2 with missing data

Baseline characteristics of study population *Statistically significant difference between non-IPD-CAP and IPD-CAP aAdmissions within 30 days post-discharge of a suspected CAP hospitalization episode were labeled as a readmission and analyzed as a continuation of the previous admission bNumber of days from onset to hospital discharge c11 with missing data d9 with missing data e2 with missing data The mean hospitalization cost for all CAP subjects was €8301 (Median: €4809, 95 % CI: €7760–€8999) (Table 2 and Additional file 1: Table S3). General ward nursing costs accounted for 63 % of total hospitalization costs and ICU nursing for 29 %. When stratified by age groups 65–74, 75–84 and ≥85 years, mean hospitalization costs were €8674, €8770 and €6197, respectively (p = 0.649). The mean hospitalization costs per IPD-CAP case were significantly higher than for non-IPD-CAP cases (€13,611 versus €8081, p = 0.025).
Table 2

Hospitalization costs of CAP and IPD-CAP subjects stratified by age- and risk-groups in 2012 €

PopulationAge group (years)Risk levelNMean95 % Confidence Interval
LowerUpper
Total CAPAll1,7858,3017,7608,999
65-74All6788,6747,8419,641
Low878,4185,87011,696
Medium4459,1187,92110,407
High1467,4726,1639,248
75–84All8078,7707,7489,847
Low7310,3877,22214,516
Medium5748,27071879,550
High1609,8287,34512,811
≥85All3006,1975,6776,764
Low426,0424,9787,188
Medium2276,1985,6066,832
High316,4015,0398,238
IPD-CAPAll7113,6118,61220,434
65–74All3111,6356,99617,982
Low816,1855,33634,137
Medium2010,6155,83117,142
High36,2993,8158,960
75–84All3416,4967,65030,360
Low618,8373,88041,063
Medium2516,9036,18235,483
High38,4161,26821,697
≥85All67,4783,45612,416
Low27,4403,86011,020
Medium47,4972,23816,577
High0---

Due to minimal differences between total CAP and non-IPD-CAP cohorts costs, the latter are presented in Additional file 1: Table S3

Hospitalization costs of CAP and IPD-CAP subjects stratified by age- and risk-groups in 2012 € Due to minimal differences between total CAP and non-IPD-CAP cohorts costs, the latter are presented in Additional file 1: Table S3 The mean hospitalization cost for survivors and non-survivors in the total CAP cohort was €7638 and €13,526, respectively (p = 0.30) (Figs. 2 and 3). ICU costs of survivors were lower (p < 0.001) and ward costs were higher (p < 0.001) compared to non-survivors.
Fig. 2

Mean CAP-related hospitalization cost for the total CAP cohort, survivors and deceased persons stratified by age. Error-bars depicting the 95 % confidence interval of the mean. Results obtained using boostrapping

Fig. 3

Mean CAP-related hospitalization cost for the total CAP cohort, survivors and deceased persons stratified by severity (i.e. PSI score). Error-bars depicting the 95 % confidence interval of the mean. Results obtained using boostrapping. Abbreviations: CAP: community-acquired pneumonia; PSI: Pneumococcal Severity Index

Mean CAP-related hospitalization cost for the total CAP cohort, survivors and deceased persons stratified by age. Error-bars depicting the 95 % confidence interval of the mean. Results obtained using boostrapping Mean CAP-related hospitalization cost for the total CAP cohort, survivors and deceased persons stratified by severity (i.e. PSI score). Error-bars depicting the 95 % confidence interval of the mean. Results obtained using boostrapping. Abbreviations: CAP: community-acquired pneumonia; PSI: Pneumococcal Severity Index Comparison between subjects who received PCV13 (n = 861) and placebo (n = 924) revealed no differences in LOS (12.03 versus 12.17 days, p = 0.919), PSI category (2.13 versus 2.09, p = 0.368) and mean hospitalization costs (€8115 versus €8475, p = 0.835). Furthermore, LOS, PSI category and costs were similar for subjects with IPD-CAP and non-IPD-CAP.

Cost drivers

A high CURB-65 score and medium risk profile for pneumococcal CAP were associated with higher hospitalization cost (Table 3). Male gender, increasing age, one or more previous admissions in the past year, low risk profile for pneumococcal CAP, lower urbanity and higher socio-economic status were associated with lower costs.
Table 3

Cost driving factors in the CAPcohort

Multiple regression
βSE p-value
Constant9.230.06<0.001
Male−0.060.01<0.001
Age−0.010.00<0.001
Previous admission−0.030.00<0.001
CURB-650.120.01<0.001
Low risk−0.090.02<0.001
Medium risk0.030.010.049
Urbanity−0.030.00<0.001
Socioeconomic status−0.010.000.02
Cost driving factors in the CAPcohort

Discussion

Among those who participated in the CAPiTA-study, the mean costs of hospitalization for CAP were €8301. Costs for a hospitalized CAP episode with IPD were €13,611, or 168 % of the mean costs for a non-IPD-CAP episode (i.e. €8081). A high clinical severity of disease at the time of hospitalization and having medium risk profile for pneumococcal disease were identified as independent drivers of high costs, whereas male gender, increasing age, previous admission(s) in the past year, low risk profile for pneumococcal CAP, lower urbanity and higher socio-economic status were associated with lower overall costs. Vaccination status was not associated with clinical severity of CAP or costs of hospitalization. Quantification of costs associated with CAP are usually based on retrospective studies using national insurance claims databases. In a previous retrospective study in Netherlands by Spoorenberg et al. [20], median costs based on ICD recordings were estimated at €3899. In the current study median costs were €4809, and the difference could be explained by the younger cohort in the Spoorenberg et al. study (mean age 63.4 versus 77.4) potentially leading to a shorter LOS (8.5 versus 12 days) and a lower case-fatality rate (30-day mortality: 5.1 versus 13.1 %). Furthermore, in the current study, non-survivor costs were €13,526 and appeared to be 177 % of the hospitalization costs of survivors (i.e. €7638). Also, Spoorenberg et al. did not consider the additional costs of readmissions and included patients of only two general hospitals in the Netherlands, as compared to 58 hospitals, of which seven are tertiary care centers, were included in the current study. Indeed, the proportion of patients needing ICU admission was 21.2 % in tertiary care (24/113) and 12.1 % in general hospitals (202/1672). Another nationwide ICD-based cost analysis by Rozenbaum et al. [19] reported medium costs of CAP of €6060 and €5937 in those 65–74 and 75–84 years of age, respectively, which is also lower than the medium costs for these age cohorts in the current study (€8674 and €8770, respectively). The study by Rozenbaum et al. was based on reimbursement of hospital expenses, as regulated by Diagnosis Related Groups (in Dutch: Diagnose BehandelCombinatie or DBC). By selecting solely DBCs related to pneumonia, other costs (e.g. treatment of complications) were not considered, possibly explaining the lower costs. Also readmissions were not taken into account, resulting in shorter length of stay in the 65–74 and 75–84 age cohorts (7.7 versus 12.4 and 8.1 versus 12.3, respectively). Furthermore, the use of ICD-coding in both Dutch studies [19, 20] may have caused important misclassification. In another Dutch study across seven Dutch hospitals, the sensitivity of ICD-coding was estimated at 79.5 % [31]. The current prospective study with 1933 patients with confirmed CAP based on standardized diagnostic criteria may, therefore, be more precise and generalizable than previous studies [16, 19–22]. Different settings and healthcare systems makes a comparison between countries nearly impossible at the level of cost estimates [32]. Length of Stay (LOS) has been identified as a major contributor to healthcare resource utilization. We found a mean of 12 days which is within the range of other European studies, [21, 22, 33–40], ranging from 8 up to 13.2 days. There are also limitations of this study that need to be addressed. An exclusion criterion for the CAPiTA-trial was the presence of immunodeficiency (i.e. individuals at high risk for developing pneumococcal infections), except for patients with asplenia. However, there were 330 (18.5 %) patients with CAP that had developed immune deficiencies after enrollment in the CAPITA-trial. Hospital costs might be slightly underestimated as we did not have exact information on the percentage of patients that received in-hospital rehabilitation services, or because some diagnostic or therapeutic procedures, such as incidental pleural punctures, may not have been reported. Additionally, in the current cohort 10.1 % of the survivors were discharged to a nursing home or rehabilitation center. As information on the total length of stay in nursing home or rehabilitation center was lacking, we could not add these costs to our cost estimates.

Conclusion

The current study showed variability in hospitalization cost between different ages, disease severities and survival status. The eldest group experienced high mortality and shorter ICU admission. Mean hospitalization cost for a CAP subject was €8301. Costs are significantly higher for IPD-CAP than for non-IPD-CAP cases. With an aging population and a rising life expectancy the disease and economic burden may further increase in the near future.
  37 in total

1.  Incidence and cost of pneumonia in medicare beneficiaries.

Authors:  Cindy Parks Thomas; Marian Ryan; John D Chapman; William B Stason; Christopher P Tompkins; Jose A Suaya; Daniel Polsky; David M Mannino; Donald S Shepard
Journal:  Chest       Date:  2012-10       Impact factor: 9.410

2.  National Hospital Discharge Survey: 2007 summary.

Authors:  Margaret Jean Hall; Carol J DeFrances; Sonja N Williams; Aleksandr Golosinskiy; Alexander Schwartzman
Journal:  Natl Health Stat Report       Date:  2010-10-26

Review 3.  [The increase in pneumonia-related morbidity and mortality among adults in the Netherlands and possible explanations for it].

Authors:  J J Oosterheert; M J M Bonten; E Hak; J W J Lammers; M M E Schneider; I M Hoepelman
Journal:  Ned Tijdschr Geneeskd       Date:  2004-09-04

Review 4.  New trends in the prevention and management of community-acquired pneumonia.

Authors:  D F Postma; C H van Werkhoven; S M Huijts; M Bolkenbaas; J J Oosterheert; M J M Bonten
Journal:  Neth J Med       Date:  2012-10       Impact factor: 1.422

5.  Clinical and economic burden of community-acquired pneumonia in the Medicare fee-for-service population.

Authors:  Holly Yu; Jaime Rubin; Stephan Dunning; Suying Li; Reiko Sato
Journal:  J Am Geriatr Soc       Date:  2012-10-30       Impact factor: 5.562

6.  Relationship of provider characteristics to outcomes, process, and costs of care for community-acquired pneumonia.

Authors:  J Whittle; C J Lin; J R Lave; M J Fine; K M Delaney; D Z Joyce; W W Young; W N Kapoor
Journal:  Med Care       Date:  1998-07       Impact factor: 2.983

7.  Pneumonia burden in elderly patients: a classification algorithm using administrative data.

Authors:  Silvia Cascini; Nera Agabiti; Raffaele Antonelli Incalzi; Luigi Pinnarelli; Flavia Mayer; Massimo Arcà; Danilo Fusco; Marina Davoli
Journal:  BMC Infect Dis       Date:  2013-11-25       Impact factor: 3.090

8.  New perspectives on community-acquired pneumonia in 388 406 patients. Results from a nationwide mandatory performance measurement programme in healthcare quality.

Authors:  S Ewig; N Birkner; R Strauss; E Schaefer; J Pauletzki; H Bischoff; P Schraeder; T Welte; G Hoeffken
Journal:  Thorax       Date:  2009-05-18       Impact factor: 9.139

9.  Economic burden and epidemiology of pneumonia in Korean adults aged over 50 years.

Authors:  Kwang Ha Yoo; Chul Gyu Yoo; Se Kyu Kim; Ji Ye Jung; Myung Goo Lee; Soo Taek Uh; Tae Sun Shim; Kyeongman Jeon; Jae Jeong Shim; Heung Bum Lee; Chi Ryang Chung; Kyung Woo Kang; Ki Suck Jung
Journal:  J Korean Med Sci       Date:  2013-06-03       Impact factor: 2.153

10.  Community-acquired pneumonia episode costs by age and risk in commercially insured US adults aged ≥50 years.

Authors:  Reiko Sato; Gabriel Gomez Rey; Stephanie Nelson; Brett Pinsky
Journal:  Appl Health Econ Health Policy       Date:  2013-06       Impact factor: 2.561

View more
  13 in total

1.  Erratum to: Hospitalization costs for community-acquired pneumonia in Dutch elderly: an observational study.

Authors:  Conrad E Vissink; Susanne M Huijts; G Ardine de Wit; Marc J M Bonten; Marie-Josée J Mangen
Journal:  BMC Infect Dis       Date:  2016-11-24       Impact factor: 3.090

2.  Changes in the pneumococcal disease-related hospitalisations in Spain after the replacement of 7-valent by 13-valent conjugate vaccine.

Authors:  L Georgalis; A Mozalevskis; M V Martínez de Aragón; M Garrido-Estepa
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-11-14       Impact factor: 3.267

3.  Costs associated with community acquired pneumonia in France.

Authors:  Grèce Saba; Luiz Flavio Andrade; Jacques Gaillat; Pierre Bonnin; Christian Chidiac; Hajnal-Gabriela Illes; Henri Laurichesse; Jonathan Messika; Jean-Damien Ricard; Bruno Detournay; Patrick Petitpretz; Gérard de Pouvourville
Journal:  Eur J Health Econ       Date:  2017-05-25

4.  Treatment and outcomes among patients ≥85 years hospitalized with community-acquired pneumonia.

Authors:  Radhika Rastogi; Pei-Chun Yu; Abhishek Deshpande; Ardeshir Z Hashmi; Shoshana J Herzig; Michael B Rothberg
Journal:  J Investig Med       Date:  2021-10-26       Impact factor: 3.235

5.  Cost-Effectiveness Of Culture-Based Versus Empirical Antibiotic Treatment For Hospitalized Adults With Community-Acquired Pneumonia In Indonesia: A Real-World Patient-Database Study.

Authors:  Abdul Khairul Rizki Purba; Purwantyastuti Ascobat; Armen Muchtar; Laksmi Wulandari; Jan-Willem Dik; Annette d'Arqom; Maarten J Postma
Journal:  Clinicoecon Outcomes Res       Date:  2019-11-29

6.  Estimating severity of influenza epidemics from severe acute respiratory infections (SARI) in intensive care units.

Authors:  Liselotte van Asten; Angie Luna Pinzon; Dylan W de Lange; Evert de Jonge; Frederika Dijkstra; Sierk Marbus; Gé A Donker; Wim van der Hoek; Nicolette F de Keizer
Journal:  Crit Care       Date:  2018-12-19       Impact factor: 9.097

7.  Pneumonia hospitalisation and case-fatality rates in older Australians with and without risk factors for pneumococcal disease: implications for vaccine policy.

Authors:  S Dirmesropian; B Liu; J G Wood; C R MacIntyre; P McIntyre; S Karki; S Jayasinghe; A T Newall
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

8.  Hospital and economic burden of influenza-like illness and lower respiratory tract infection in adults ≥50 years-old.

Authors:  Cecilia Trucchi; Chiara Paganino; Andrea Orsi; Daniela Amicizia; Valentino Tisa; Maria Francesca Piazza; Domenico Gallo; Simona Simonetti; Bruno Buonopane; Giancarlo Icardi; Filippo Ansaldi
Journal:  BMC Health Serv Res       Date:  2019-08-19       Impact factor: 2.655

Review 9.  Triptych of the Hermit Saints: pneumococcal polysaccharide vaccines for the elderly.

Authors:  Ger T Rijkers; Laura Ie Yousif; Simone Mc Spoorenberg; Frans J van Overveld
Journal:  Risk Manag Healthc Policy       Date:  2018-03-27

10.  Inter-hospital variation in the utilization of diagnostics and their proportionality in the management of adult community-acquired pneumonia.

Authors:  Stefan M T Vestjens; Esther Wittermans; Simone M C Spoorenberg; Jan C Grutters; Charlotte A van Ruitenbeek; G Paul Voorn; Willem Jan W Bos; Ewoudt M W van de Garde
Journal:  Pneumonia (Nathan)       Date:  2018-12-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.