Literature DB >> 21396096

Healthcare-associated pneumonia among hospitalized patients in a Korean tertiary hospital.

Ji Ye Jung1, Moo Suk Park, Young Sam Kim, Byung Hoon Park, Se Kyu Kim, Joon Chang, Young Ae Kang.   

Abstract

BACKGROUND: Healthcare-associated pneumonia (HCAP) has more similarities to nosocomial pneumonia than to community-acquired pneumonia (CAP). However, there have only been a few epidemiological studies of HCAP in South Korea. We aimed to determine the differences between HCAP and CAP in terms of clinical features, pathogens, and outcomes, and to clarify approaches for initial antibiotic management.
METHODS: We conducted a retrospective, observational study of 527 patients with HCAP or CAP who were hospitalized at Severance Hospital in South Korea between January and December 2008.
RESULTS: Of these patients, 231 (43.8%) had HCAP, and 296 (56.2%) had CAP. Potentially drug-resistant (PDR) bacteria were more frequently isolated in HCAP than CAP (12.6% vs. 4.7%; P = 0.001), especially in the low-risk group of the PSI classes (41.2% vs. 13.9%; P = 0.027). In-hospital mortality was higher for HCAP than CAP patients (28.1% vs. 10.8%, P < 0.001), especially in the low-risk group of PSI classes (16.4% vs. 3.1%; P = 0.001). Moreover, tube feeding and prior hospitalization with antibiotic treatment within 90 days of pneumonia onset were significant risk factors for PDR pathogens, with odds ratios of 14.94 (95% CI 4.62-48.31; P < 0.001) and 2.68 (95% CI 1.32-5.46; P = 0.007), respectively.
CONCLUSIONS: For HCAP patients with different backgrounds, various pathogens and antibiotic resistance of should be considered, and careful selection of patients requiring broad-spectrum antibiotics is important when physicians start initial antibiotic treatments.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21396096      PMCID: PMC3063837          DOI: 10.1186/1471-2334-11-61

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


Background

Pneumonia has traditionally been classified as either community- or hospital- acquired, based on the patient's location when the infection was acquired. However, an increasing number of out-of-hospital services, such as nursing homes, outpatient parenteral therapy, hemodialysis clinics, and domiciliary care, create a class of patients who do not truly reside in the "community." Previous studies have suggested that nursing home-acquired pneumonia or pneumonia in long-term care facilities should be considered separately from community-acquired pneumonia (CAP) [1-3]. Infections occurring in these patients show a more similar epidemiological pattern to hospital-acquired pneumonia (HAP) than to CAP [1-3]. Different epidemiological patterns from CAP require a distinct targeted therapeutic approach, especially against multidrug-resistant pathogens [4,5]. Thus, since 2000, the newly published CAP guidelines have recommended management specific to this type of pneumonia, and considered it to be a separate entity from CAP [6-8]. In 2005, the American Thoracic Society (ATS)/Infectious Diseases Society of America (IDSA) documented healthcare-associated pneumonia (HCAP) as a new category of pneumonia [9]. However, only a few studies on HCAP have included patients who met the criteria of the 2005 ATS/IDSA guidelines[10]. Previous HCAP studies have revealed a diverse composition of participants because this new HCAP category includes various criteria for heterogeneous conditions, such as nursing home residence, previous antibiotic therapy, or regular attendance at a dialysis clinic [11-13]. Since the criteria for defining HCAP have not been standardized between these studies, and due to the existence of geographically different etiologies, more data are required for a better characterization of unified HCAP and for redefining HCAP. In South Korea, there are limited data and no therapeutic guidelines focusing on HCAP [14]. Considering the relatively small proportion of long-term care facilities and the different antibiotic resistance patterns of the microorganisms in CAP, the clinical composition, causative pathogens, and clinical outcomes of HCAP in South Korea could be different from those in other countries. Therefore, a study evaluating HCAP characteristics and clinical outcomes in South Korea is needed. The aim of this study was to categorize patients according to the 2005 ATS/IDSA guidelines, to determine differences in baseline characteristics, pathogens, and clinical outcomes between patients with HCAP and CAP in a university teaching hospital in South Korea, and to clarify approaches for initial antibiotic management.

Methods

Study design and subjects

We conducted a retrospective observational study of 527 patients with CAP or HCAP who were hospitalized at Severance Hospital (a 2,000-bed university tertiary referral hospital in Seoul, South Korea) between January 1 and December 31, 2008. Patients were classified into either a CAP or HCAP group, according to the 2005 ATS/IDSA guidelines. We compared baseline characteristics, and identified pathogens, antibiotics regimens, and clinical outcomes between the two groups. The study protocol was approved by the Ethical Review Committee of Severance Hospital.

Definitions

Pneumonia was defined as the presence of a new infiltrate on the chest radiography plus at least one of the following: fever (temperature ≥ 38.0°C) or hypothermia (temperature < 35.0°C), new cough with or without sputum production, pleuritic chest pain, dyspnea, or altered breath sounds on auscultation [15]. HCAP included any patient who fulfilled any of the following: (1) hospitalization in an acute care hospital for two or more days within 90 days of the infection; (2) residence in a nursing home or long-term care facility; (3) infusion therapy, such as intravenous antibiotic therapy, chemotherapy or wound care, within 30 days of a current infection; (4) regular attendance at a dialysis clinic, including hemodialysis and peritoneal dialysis [9]. CAP included any patient with pneumonia who did not meet the HCAP criteria. Patients were defined as being immunosuppressed if they fulfilled at least one of the following criteria: (1) daily administration of systemic corticosteroids (at least 15 mg of prednisone per day for more than one month or combination therapy with low dose corticosteroids and other immunosuppressants including azathioprine, mycophenolate, methotrexate, cyclosporine, or cyclophosphamide) (2) seropositivity for human immunodeficiency virus; (3) receipt of either a solid organ or bone marrow transplant; (4) treatment with radiation therapy or chemotherapy for an underlying malignancy during the 6 months prior to hospital admission; or (5) underlying acquired immune deficiency disorder [11,13]. In this study, potentially drug resistant (PDR) pathogens included methicillin-resistant Staphylococcus aureus (MRSA), Pseudomonas aeruginosa, Acinetobacter baumannii, Stenotrophomonas maltophilia, and extended spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, based on previous reports showing problematic clinical outcomes for infections caused by these pathogens [16,17]. Inappropriate antibiotic therapy was defined as when any initially prescribed antibiotics were not active against the identified pathogens, based on in vitro susceptibility testing [10,12]. The definition of early treatment failure was clinical deterioration within 72 hours of starting treatment, such as a lack of response or worsening of fever, respiratory condition, and/or radiographic status, requiring mechanical ventilation or aggressive fluid resuscitation or vasopressors, or death [12,18,19]. The severity of pneumonia was evaluated and categorized using the validated prediction rule and pneumonia severity index (PSI) scores: low, class I to III; intermediate, class IV; high, class V [20,21].

Antibiotic treatment

Antibiotic therapy was initiated in basic accordance with the ATS/IDSA guidelines (8,9), but the detailed antibiotic regimen complied with the attending physician's choice taking into consideration patient risk factors and the severity of the disease. Empirical antibiotic therapy was modulated after the pathogen was identified according to the susceptibility test. However, the antibiotic therapy was changed or extended according to the attending physician's decision for patients in whom the pathogen was not identified or whose clinical condition deteriorated.

Microbiological studies

Pathogens in samples obtained from sputum, blood, or other samples were investigated using standard microbiological procedures. Blood cultures were accepted as an etiological diagnosis if no other source could be identified for the positive blood culture. Sputum samples were cultured in a semi-quantitative manner, and an etiological diagnosis was established when a predominant microorganism was isolated from group 4 or 5 sputum, according to Murray and Washington's grading system [22]. A rapid immunochromatographic assay was used for detecting the Streptococcus pneumoniae antigen (BinaxNOW® S. pneumoniae Test; Binax Inc., Scarborough, ME, USA) and Legionella pneumophila serogroup I antigen (BinaxNOW® Legionella Test; Binax Inc., Scarborough, ME, USA) in urine. Antibodies against atypical pathogens (Mycoplasma pneumoniae) were detected by microparticle agglutination assay (MAG). Cases that did not meet any of these criteria were considered to be pneumonia of unknown etiology. The antibiotic sensitivity of all isolates was determined using a disc diffusion method, according to the Clinical and Laboratory Standards Institute guidelines [23].

Statistical analyses

Categorical variables were analyzed using the χ2 test or Fisher's exact test, and continuous variables were analyzed using Student's t-test or Mann-Whitney U test. After testing the distribution of continuous variables, normally distributed variables were presented as mean ± standard deviation (SD) and non-normally distributed variables were presented as median (interquartile range, [IQRs]). Multivariate analysis was performed using a logistic regression model to estimate risk factors for occurrence of PDR pathogens, which was presented with the odds ratio (OR, 95% confidence intervals, CI). Potential candidate variables were those with P < 0.05 in univariate analyses, and the multi-collinearity of variables was checked. All tests were two-sided and a P-value < 0.05 was deemed to be statistically significant. SPSS 18.0 (SPSS, Chicago, IL, USA) was used for all statistical analyses.

Results

Patient characteristics

Of the 527 patients, 231 (43.8%) were classified as HCAP and 296 (56.2%) as CAP. The baseline and clinical characteristics of the patients with HCAP and CAP are shown in Table 1. Of the 231 HCAP patients, 170 (73.6%) had been hospitalized for two or more days within 90 days of pneumonia, 150 (64.9%) received intravenous antibiotic therapy/chemotherapy/wound care within 30 days of pneumonia onset, 24 (10.4%) attended a hemodialysis clinic, and 21 (9.1%) resided in a nursing home or extended care facility (data not shown).
Table 1

Baseline Characteristics of Patients with HCAP and CAPa

Baseline CharacteristicsHCAP (n = 231)CAP(n = 296)P-value
Age (year)63.5 ± 13.165.4 ± 15.70.148
Male162 (70.1)194 (65.5)0.264
Female69 (29.9)102 (34.5)
Underlying diseases
 Diabetes Mellitus52 (22.5)59 (19.9)0.471
 Chronic lung diseaseb22 (9.5)56 (18.9)0.003
 Central nervous system disorders26 (11.3)47 (15.9)0.127
 Renal disease31 (13.4)27 (9.1)0.118
 Hypertension93 (40.3)125 (42.2)0.649
 Cardiovascular disease19 (8.2)62 (20.9)<0.001
 Liver disease12 (5.2)16 (5.4)0.915
 Rheumatologic disease9 (3.9)18 (6.1)0.259
 Malignancy156 (67.5)58 (19.6)<0.001
  Solid organ malignancy133 (57.6)42 (14.2)<0.001
  Hematologic malignancy26 (11.3)17 (5.7)0.022
Clinical parameters
 Confusion35 (15.2)34 (11.5)0.216
 Septic shock at onset57 (24.7)46 (15.5)0.009
 PaO2 < 60 mmHg, SpO2 < 90%, or PaO2/FiO2 < 30079 (34.2)96 (32.4)0.669
 Pleural effusion43 (18.6)49 (16.6)0.536
 Acute renal failure at onset32 (13.9)37 (12.5)0.648
Laboratory findings
 pH < 7.3510 (4.3)23 (7.8)0.106
 Hematocrit < 30%87 (37.7)51 (17.2)<0.001
 Glucose > 250 mg/dL20 (8.7)21 (7.1)0.506
 Blood urea nitrogen > 30 mg/dL67 (29.0)49 (16.6)0.001
 Leukocytes (×103/μl)12790 ± 1360313175 ± 75190.700
 C-reactive protein (mg/dL)15.4 ± 11.213.1 ± 10.00.017
 Erythrocyte Sedimentation Rate (mm)83.2 ± 33.871.4 ± 35.7<0.001
Eastern Cooperative OncologyGroup (ECOG)1.7 ± 0.91.2 ± 0.9<0.001
Prior antibiotics use97 (42.0)6 (1.0)<0.001
Immunosuppressedc142 (61.5)39 (13.2)<0.001
Pneumonia Severity Index Risk Classes113.7 ± 32.392.2 ± 33.6<0.001
 Low (I-III)55 (23.8)159 (53.7)
 Intermediate (IV)115 (49.8)99 (33.4)<0.001
 High (V)61 (26.4)38 (12.8)

a Data are presented as numbers (percentages) unless otherwise indicated. Plus-minus values are means ± standard deviation.

b Chronic lung disease includes asthma, COPD, and structural lung diseases, such as bronchiectasis and interstitial lung disease

c Immunosuppression includes the following: (1) daily administration of systemic corticosteroids (at least 15 mg of prednisone per day for more than one month or combination therapy with low dose corticosteroids and other immunosuppressants including azathioprine, mycophenolate, methotrexate, cyclosporine, or cyclophosphamide); (2) seropositivity for human immunodeficiency virus; (3) received either a solid organ transplant or bone marrow transplant; (4) treated with radiation therapy or chemotherapy for an underlying malignancy during the 6 months prior to hospital admission; (5) an underlying acquired immune deficiency disorder

HCAP healthcare-associated pneumonia

CAP community-acquired pneumonia

Baseline Characteristics of Patients with HCAP and CAPa a Data are presented as numbers (percentages) unless otherwise indicated. Plus-minus values are means ± standard deviation. b Chronic lung disease includes asthma, COPD, and structural lung diseases, such as bronchiectasis and interstitial lung disease c Immunosuppression includes the following: (1) daily administration of systemic corticosteroids (at least 15 mg of prednisone per day for more than one month or combination therapy with low dose corticosteroids and other immunosuppressants including azathioprine, mycophenolate, methotrexate, cyclosporine, or cyclophosphamide); (2) seropositivity for human immunodeficiency virus; (3) received either a solid organ transplant or bone marrow transplant; (4) treated with radiation therapy or chemotherapy for an underlying malignancy during the 6 months prior to hospital admission; (5) an underlying acquired immune deficiency disorder HCAP healthcare-associated pneumonia CAP community-acquired pneumonia

Pathogen distribution

Table 2 shows the distribution of causative organisms. The numbers of sputum samples evaluated for pathogens were 203 (87.9%) in HCAP patients and 266 (89.9%) in CAP patients, and those of blood samples were 230 (99.6%) in HCAP patients and 289 (97.6%) in CAP patients (data not shown). An etiological diagnosis was established in 79 HCAP (34.2%) and 83 CAP patients (29.1%) (P = 0.206). S. pneumoniae was the most frequently isolated pathogen in CAP patients, while Klebsiella pneumoniae was most frequently isolated in HCAP patients. More PDR pathogens were observed in patients with HCAP.
Table 2

Pathogen Distribution in Patients with HCAP and CAPa

MicrobesHCAP (n = 231)CAP (n = 296)P-value
Pathogen identified79 (34.2)83 (29.1)0.206
Gram-positive pathogens34 (14.7)54 (18.2)0.282
 MRSA9 (3.9)6 (2.0)
 MSSA4 (1.7)9 (3.0)
Streptococcus pneumoniae11 (4.8)33 (11.1)
Streptococcus other4 (1.7)3 (1.0)
Enterococcus species0 (0)1 (0.3)
 Others b6 (2.6)3 (1.0)
Gram-negative pathogens46 (19.9)28 (9.5)0.001
Pseudomonas aeruginosa10 (4.3)5 (1.7)
Escherichia coli1 (0.4)0 (0)
Haemophilus influenzae2 (0.9)3 (1.0)
Klebsiella pneumoniae23 (10.0)13 (4.4)
ESBL producing c9/23 (39.1)3/13 (23.1)
Enterobacter species4 (1.7)1 (0.3)
Acinetobacter baumannii1 (0.4)0 (0)
Stenotrophomonas maltophilia1 (0.4)1 (0.3)
 Others d 4 (1.7)5 (1.7)
Anaerobes e1 (0.4)0 (0)
Atypical pathogens f0 (0)3 (1.0)
Fungal pathogensg1 (0.4)1 (0.3)
PDR pathogens29 (12.6)14 (4.7)0.001

a Data are presented as numbers (percentages) unless otherwise indicated.

b Coagulase-negative Staphylococci species

c Number of patients/total number of patients in whom Klebsiella pneumonia was identified (percentages)

d Moraxella catarrhalis (1 in HCAP and 3 in CAP), Serratia marcescens (2 in HCAP and 2 in CAP), Citrobacter freundii (1 in HCAP)

e Bacteroides fragilis

f Mycoplasma pneumonia (3 in CAP)

g Aspergillus species

HCAP healthcare-associated pneumonia

CAP community-acquired pneumonia

MRSA methicillin-resistant Staphylococcus aureus

MSSA methicillin-sensitive Staphylococcus aureus

ESBL extended-spectrum β-lactamase

PDR potentially drug-resistant

Pathogen Distribution in Patients with HCAP and CAPa a Data are presented as numbers (percentages) unless otherwise indicated. b Coagulase-negative Staphylococci species c Number of patients/total number of patients in whom Klebsiella pneumonia was identified (percentages) d Moraxella catarrhalis (1 in HCAP and 3 in CAP), Serratia marcescens (2 in HCAP and 2 in CAP), Citrobacter freundii (1 in HCAP) e Bacteroides fragilis f Mycoplasma pneumonia (3 in CAP) g Aspergillus species HCAP healthcare-associated pneumonia CAP community-acquired pneumonia MRSA methicillin-resistant Staphylococcus aureus MSSA methicillin-sensitive Staphylococcus aureus ESBL extended-spectrum β-lactamase PDR potentially drug-resistant

Antibiotic treatment and clinical outcomes

Initial antibiotic treatments and outcomes for patients with HCAP and CAP are shown in Table 3. Inappropriate antibiotic therapy tended to be administered more frequently to HCAP patients than CAP patients, although the difference was not significant. Patients in both groups received combination therapy more than monotherapy. The in-hospital mortality and early treatment failure rates were significantly higher in HCAP patients than CAP patients. Patients with HCAP stayed in the hospital longer and showed a more frequent need for mechanical ventilation than patients with CAP.
Table 3

Antibiotic Treatments and Clinical Outcomes in Patients with HCAP and CAPa

TreatmentHCAP(n = 231)CAP(n = 296)P-value
Inappropriate antibiotic therapyb27/73 (37.0)19/78 (24.4)0.092
Monotherapy30 (13.0)53 (17.9)0.124
 Amino-penicillins3 (1.3)5 (1.7)-
 Cephalosporin5 (2.2)8 (2.7)-
 Antipseudomonal penicillins6 (2.6)6 (2.0)-
 Fluroquinolone13 (5.6)34 (11.5)-
 Carbapenem3 (1.3)0 (0)-
Combination therapy201 (87.0)243 (82.1)0.124
β-lactams + fluoroquinolone4 (1.7)8 (2.7)-
β-lactams + macrolide36 (15.6)112 (37.8)<0.001
β-lactams + clindamycin10 (4.3)14 (4.7)-
β-lactams + aminoglycoside6 (2.6)1 (0.3)-
 Fluoroquinolone + clindamycin13 (5.6)12 (4.1)-
 Antipseudomonal β-lactams + fluroquinolone63 (27.3)48 (16.2)0.001
 Antipseudomonal β-lactams + macrolide0 (0)1 (0.3)-
 Antipseudomonal β-lactams + clindamycin6 (2.6)3 (1.0)-
 Antipseudomonal β-lactams + aminoglycoside8 (3.5)2 (0.7)-
 Other combination therapyc55 (23.8)42 (14.2)0.002
Clinical outcomes
 In-hospital mortality65 (28.1)32 (10.8)<0.001
 Early treatment failured56 (24.2)37 (12.5)<0.001
 ICU admission49 (21.2)37 (12.5)0.007
 ICU mortality31 (13.4)21 (7.1)0.016
 Need for mechanical ventilation47 (20.3)39 (13.2)0.027
 Duration of hospital stay (days)18.6 ± 19.112.9 ± 13.1<0.001

a Data are presented as numbers (percentages) unless otherwise indicated. Plus-minus values are means ± standard deviation.

b Number of patients/total number of patients whose causative pathogens and antibiotic sensitivity test results are known (percentages). Results of antibiotics sensitivity test were not available in six patients with HCAP and five patients with CAP.

c Others contain combination therapy of three or more drugs, including aminopenicillins, cephalosporin, antipseudomonal penicillin, aminglycoside, macrolide, clindamycin, fluoroquinolone, glycopeptide, trimethoprim/sulfamethoxazole, and antifungal agent.

d Early treatment failure was defined as clinical deterioration within 72 h of treatment such as lack of response or worsening of fever, respiratory condition, and/or radiographic status requiring mechanical ventilation, aggressive fluid resuscitation or vasopressors, or death

HCAP healthcare-associated pneumonia

CAP community-acquired pneumonia

ICU intensive care unit

Antibiotic Treatments and Clinical Outcomes in Patients with HCAP and CAPa a Data are presented as numbers (percentages) unless otherwise indicated. Plus-minus values are means ± standard deviation. b Number of patients/total number of patients whose causative pathogens and antibiotic sensitivity test results are known (percentages). Results of antibiotics sensitivity test were not available in six patients with HCAP and five patients with CAP. c Others contain combination therapy of three or more drugs, including aminopenicillins, cephalosporin, antipseudomonal penicillin, aminglycoside, macrolide, clindamycin, fluoroquinolone, glycopeptide, trimethoprim/sulfamethoxazole, and antifungal agent. d Early treatment failure was defined as clinical deterioration within 72 h of treatment such as lack of response or worsening of fever, respiratory condition, and/or radiographic status requiring mechanical ventilation, aggressive fluid resuscitation or vasopressors, or death HCAP healthcare-associated pneumonia CAP community-acquired pneumonia ICU intensive care unit

Occurrence of PDR pathogens and clinical outcomes and in each severity class assessed by PSI

Table 4 shows the occurrence of PDR pathogens, early treatment failure, and mortality in each risk class. In low-risk patients, HCAP showed a higher occurrence of PDR pathogens (41.2% vs. 13.9%; P = 0.027) and early treatment failure (16.4% vs. 6.3%; P = 0.024). Moreover, patients with HCAP showed higher in-hospital mortality than those with CAP in the low (16.4% vs. 3.1%; P = 0.001) and intermediate (25.2% vs. 14.1%; P = 0.044) risk classes.
Table 4

Occurrence of PDR Pathogens and Clinical Outcomes and in Each Severity Class Assessed by the Pneumonia Severity Index in Patients

Pneumonia Severity Index ClassesHCAP(n = 231)CAP(n = 296)P-value
PDR pathogensa
 Low (I-III)7/17 (41.2)5/36 (13.9)0.027
 Intermediate (IV)14/40 (35.0)5/29 (17.2)0.103
 High (V)8/22 (36.4)4/18 (22.2)0.332
Early treatment failureb
 Low (I-III)9/55 (16.4)10/159 (6.3)0.024
 Intermediate (IV)21/115 (18.3)18/99 (18.2)0.988
 High (V)26/61 (42.6)9/38 (23.7)0.055
In-hospital mortalityb
 Low (I-III)9/55 (16.4)5/159 (3.1)0.001
 Intermediate (IV)29/115 (25.2)14/99 (14.1)0.044
 High (V)27/61 (44.3)13/38 (34.2)0.322

a Number of patients/total number of patients whose causative pathogens were identified in each pneumonia severity index class (percentages).

b Data are presented as number of patients/total number of patients in each pneumonia severity index class (percentages).

HCAP healthcare-associated pneumonia

CAP community-acquired pneumonia

PDR potentially drug-resistant

Occurrence of PDR Pathogens and Clinical Outcomes and in Each Severity Class Assessed by the Pneumonia Severity Index in Patients a Number of patients/total number of patients whose causative pathogens were identified in each pneumonia severity index class (percentages). b Data are presented as number of patients/total number of patients in each pneumonia severity index class (percentages). HCAP healthcare-associated pneumonia CAP community-acquired pneumonia PDR potentially drug-resistant

Risk Factors for Occurrence of PDR Pathogens

The multivariate analysis of risk factors for the occurrence of PDR pathogens are shown in Table 5. Tube feeding and previous hospitalization within 90 days of pneumonia onset were significant risk factors; the corresponding odds ratios were 14.94 and 2.68. Of 162 patients with identified pathogens, 57 patients (35.2%) had been previously hospitalized within 90 days of infection. However, when previous hospitalization was classified into two different risk factors in relation to antibiotic treatment, 36 patients (63.2%) had previously been hospitalized with antibiotic treatment and 21 patients (36.8%) had been hospitalized without. The former was a significant risk factor (odds ratio = 2.45; 95% CI 1.19-5.02; P = 0.014), but the latter was not (odds ratio = 1.59; 95% CI 0.54-4.69; P = 0.398) (data not shown).
Table 5

Multivariate Analysis of Risk Factors for Occurrence of PDR Pathogens

Risk FactorsOdds Ratio95% CIP-value
Gender, female1.500.75 - 3.010.256
Age1.000.98 - 1.020.964
Tube feeding14.944.62 - 48.31<0.001
Residence in a nursing home or extended care facility1.900.53 - 6.860.327
Intravenous chemotherapy within 30 days0.620.22 - 1.770.373
Attended a hemodialysis clinic2.810.86 - 9.190.087
Hospitalized in an acute care hospital for two or more days within 90 days of the infection2.681.32 - 5.460.007

PDR potentially drug-resistant

CI confidential interval

Multivariate Analysis of Risk Factors for Occurrence of PDR Pathogens PDR potentially drug-resistant CI confidential interval

Discussion

This study showed that half of the hospitalized patients with pneumonia in a university tertiary referral hospital in South Korea were diagnosed with HCAP, and identified differences in comorbidities, pathogens, initial antibiotic regimens, and clinical outcomes between the HCAP and CAP groups. Moreover, tube feeding and prior hospitalization with antibiotic treatment within 90 days of pneumonia were found to be significant risk factors for PDR pathogens. Patients with HCAP were more frequently classified into the intermediate- and high-risk classes than patients with CAP. More PDR pathogens were identified, more inappropriate antibiotic treatments were initiated, and clinical outcomes were worse for HCAP patients, especially those in the low and intermediate risk classes. The results of this study were consistent with those of previous studies reporting distinct clinical characteristics of HCAP and worse outcomes than CAP [10,12,14,24]. However, the baseline characteristics and the backgrounds of patients with HCAP differed slightly from previous reports. In this study, more patients with HCAP had malignancies (67.5%) and an immunosuppressive condition (61.5%) as comorbidity than other studies (14.2% to 22.3%) [12,24]. Furthermore, the HCAP group included a relatively lower proportion of patients residing in nursing homes or extended care facilities (9.1%) than previous reports (28.0% to 61.0%)[12,24]. These differences indicate the heterogeneous aspect of HCAP and the difficulty of establishing one unified approach for patients with HCAP [25]. Despite the high rate of anti-pseudomonal therapy in HCAP patients, a high proportion of inappropriate initial antibiotics were given to the patients in this study (37.0%), as compared with the studies of Shindo et al. (20.8%), Carratalà et al. (5.6%), and Park et al. (24.6%) [10,12,14]. This is likely due to the higher rate of PDR pathogen infection (36.7%), as compared with the aforementioned reports of Shindo et al. (22.1%), Carratalà et al. (3.5%), and Park et al. (29.3%) in HCAP patients, and the relatively high proportion of ESBL-producing Gram-negative pathogens [10,12,14]. In this study, K. pneumoniae (10.0%) was the most common pathogen in patients with HCAP, followed by S. aureus (5.6%), S. pneumoniae (4.8%), and P. aeruginosa (4.3%) in that order. In addition, the rate of ESBL-producing K. pneumoniae was relatively high in our study. This may be explained by differences in the underlying comorbidities of HCAP patients and their reasons for being in contact with the healthcare environment. A large proportion of patients with malignancies who had been regularly hospitalized for anti-cancer chemotherapy and a considerable proportion of patients with recent antibiotic therapy (42.0%) could explain an increasing colonization of ESBL-producing K. pneumoniae. In a report by Park et al., another study done in a tertiary hospital of South Korea, K. pneumoniae is also the second most common pathogen of HCAP and the rate of ESBL-producing K. pneumoniae comes to 79% in both CAP and HCAP [14]. Thus, efforts to identify the pathogens and to adjust empirical antibiotics accordingly, based on microbiological data, are more useful than automatic treatment with anti-pseudomonal broad-spectrum antibiotics. Negative clinical outcomes, including early treatment failure and in-hospital mortality were all higher in HCAP patients than CAP patients. The differences were significant, especially among the low-risk class, and the occurrence of PDR pathogens was also more frequently observed in HCAP patients than in CAP patients among the low-risk class. These results were similar to the study of Shindo et al. in Japan, which showed higher mortality and PDR pathogens occurrence in HCAP patients than in CAP patients in the moderate severity class according to the A-DROP (age, dehydration, respiratory failure, orientation disturbance, and low blood pressure) scoring system [12]. In patients classified as high-risk, mortality was not different between HCAP and CAP patients, probably due to the severity of the illness itself, regardless of the presence of PDR pathogens. The poorer outcomes for patients with HCAP than for those with CAP in the low-risk class might be explained by the higher rate of early treatment failure (16.4% vs. 6.3%; P = 0.024), associated with a higher proportion of PDR pathogen (41.2% vs. 13.9%; P = 0.027), as shown in Table 4. Although we could not find a significant difference in the rate of inappropriate initial antibiotics treatment between patients with HCAP and CAP, the proportion of inappropriate antibiotic treatment was significantly higher in HCAP patients infected with PDR pathogen than in those without (58.6% vs. 22.7%; P = 0.002) (data not shown), which is consistent with previous reports [14,26]. Therefore, it is important to identify risk factors for PDR pathogens in patients with HCAP to decide who should receive broad-spectrum antibiotics. These efforts would improve clinical outcomes and prevent the emergence of multi-drug resistant microorganisms from overuse of broad-spectrum antibiotics. According to multivariate analysis, significant risk factors for PDR pathogens included the use of antibiotics for more than two days during a prior hospitalization within 90 days of pneumonia onset as well as tube feeding. Thus, we suggest that physicians consider broad-spectrum antibiotics for treatment of HCAP patients with these risk factors for PDR pathogens. HCAP is a newly defined group since 2005 and has been composed of heterogeneous patients with various severities of illness and different reasons for contact with the healthcare environment. Thus, there is little detailed data on these various HCAP groups, though it is associated with significant mortality and high health care costs [27,28]. This study may provide useful guidance in understanding the characteristics of HCAP and in developing therapeutic approaches for patients with HCAP in South Korea. To fully appreciate our results, we should consider the limitations of the present study. First, this was a retrospective study in a single institution with a relatively short duration and may not represent South Korean medical institutions in general. However, this study shows the general characteristics of pneumonia patients admitted to tertiary hospitals in South Korea. Second, the etiology of pneumonia was identified in a low proportion of patients. Thus, the true incidence of PDR pathogen and its effects on the clinical outcomes could have been underestimated. However, 89% and 99% of the patients were evaluated using their sputum and blood samples, and our successful pathogen identification rate of 30% was not relatively low compared to the rate of 20-50% from previous prospectively designed studies [10,29,30]. Third, atypical pathogens could not be fully evaluated due to inadequate information in the medical records. Fourth, prior antibiotic use could not be fully estimated due to insufficient information from other clinics in the medical records.

Conclusions

In summary, half of the hospitalized with pneumonia in a university tertiary referral hospital were diagnosed with HCAP. Patients with HCAP showed a higher occurrence of PDR pathogens, more frequent early treatment failure, and a higher mortality rate than patients with CAP, especially in patients with low-risk class. Those HCAP patients who underwent tube feeding and those who have been hospitalized and given antibiotic treatment within the previous 90 days should be mainly considered for broad-spectrum antibiotics.

Abbreviations

HCAP: healthcare-associated pneumonia; CAP: community acquired pneumonia; PDR: potentially drug-resistant; PSI: pneumonia severity index; ATS: American Thoracic Society. IDSA: Infectious Diseases Society of America; MRSA: methicillin-resistant Staphylococcus aureus; ESBL: extended spectrum β-lactamase; MAG: microparticle agglutination assay SD: standard deviation; CI: confidence intervals; ICU: intensive care unit

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

JJ carried out screening and acquisition of data, statistical analysis and participated in the writing of the manuscript. MP and YK carried out acquisition of data and statistical analysis. BP and SK participated in the study design and the analysis and interpretation of data. JC participated in the study design, analysis and interpretation of data and critical revision of the manuscript for important intellectual content. YK participated in the study design, analysis and interpretation of data and the writing of the manuscript. All authors have read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2334/11/61/prepub
  29 in total

1.  Canadian guidelines for the initial management of community-acquired pneumonia: an evidence-based update by the Canadian Infectious Diseases Society and the Canadian Thoracic Society. The Canadian Community-Acquired Pneumonia Working Group.

Authors:  L A Mandell; T J Marrie; R F Grossman; A W Chow; R H Hyland
Journal:  Clin Infect Dis       Date:  2000-09-07       Impact factor: 9.079

Review 2.  Making sense of scoring systems in community acquired pneumonia.

Authors:  Michael S Niederman
Journal:  Respirology       Date:  2009-04       Impact factor: 6.424

3.  Clinical outcomes of health-care-associated infections and antimicrobial resistance in patients admitted to European intensive-care units: a cohort study.

Authors:  Marie-Laurence Lambert; Carl Suetens; Anne Savey; Mercedes Palomar; Michael Hiesmayr; Ingrid Morales; Antonella Agodi; Uwe Frank; Karl Mertens; Martin Schumacher; Martin Wolkewitz
Journal:  Lancet Infect Dis       Date:  2010-12-02       Impact factor: 25.071

4.  Clinical characteristics of health care-associated pneumonia in a Korean teaching hospital.

Authors:  Hye Kyeong Park; Jae-Uk Song; Sang-Won Um; Won-Jung Koh; Gee Young Suh; Man Pyo Chung; Hojoong Kim; O Jung Kwon; Kyeongman Jeon
Journal:  Respir Med       Date:  2010-11       Impact factor: 3.415

5.  Clinical and economic outcomes for patients with health care-associated Staphylococcus aureus pneumonia.

Authors:  Andrew F Shorr; Nadia Haque; Charu Taneja; Marcus Zervos; Lois Lamerato; Smita Kothari; Sophia Zilber; Susan Donabedian; Mary Beth Perri; James Spalding; Gerry Oster
Journal:  J Clin Microbiol       Date:  2010-07-14       Impact factor: 5.948

6.  Prospective comparison of severity scores for predicting clinically relevant outcomes for patients hospitalized with community-acquired pneumonia.

Authors:  Pedro Pablo España Yandiola; Alberto Capelastegui; José Quintana; Rosa Diez; Inmaculada Gorordo; Amaia Bilbao; Rafael Zalacain; Rosario Menendez; Antonio Torres
Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

7.  Outcome of community-acquired pneumonia: influence of age, residence status and antimicrobial treatment.

Authors:  H Kothe; T Bauer; R Marre; N Suttorp; T Welte; K Dalhoff
Journal:  Eur Respir J       Date:  2008-02-20       Impact factor: 16.671

Review 8.  Healthcare-associated pneumonia is a heterogeneous disease, and all patients do not need the same broad-spectrum antibiotic therapy as complex nosocomial pneumonia.

Authors:  Veronica Brito; Michael S Niederman
Journal:  Curr Opin Infect Dis       Date:  2009-06       Impact factor: 4.915

9.  Health-care-associated pneumonia among hospitalized patients in a Japanese community hospital.

Authors:  Yuichiro Shindo; Shinji Sato; Eiichi Maruyama; Takamasa Ohashi; Masahiro Ogawa; Naozumi Hashimoto; Kazuyoshi Imaizumi; Tosiya Sato; Yoshinori Hasegawa
Journal:  Chest       Date:  2008-11-18       Impact factor: 9.410

10.  Comparison of severity scoring systems A-DROP and CURB-65 for community-acquired pneumonia.

Authors:  Yuichiro Shindo; Shinji Sato; Eiichi Maruyama; Takamasa Ohashi; Masahiro Ogawa; Kazuyoshi Imaizumi; Yoshinori Hasegawa
Journal:  Respirology       Date:  2008-09       Impact factor: 6.424

View more
  18 in total

1.  Oral care may reduce pneumonia in the tube-fed elderly: a preliminary study.

Authors:  Keisuke Maeda; Junji Akagi
Journal:  Dysphagia       Date:  2014-07-18       Impact factor: 3.438

2.  Clinical impact of broad-spectrum empirical antibiotic therapy in patients with healthcare-associated pneumonia: a multicenter interventional study.

Authors:  Marco Falcone; Salvatore Corrao; Giuseppe Licata; Pietro Serra; Mario Venditti
Journal:  Intern Emerg Med       Date:  2012-06-12       Impact factor: 3.397

3.  Derivation and Multicenter Validation of the Drug Resistance in Pneumonia Clinical Prediction Score.

Authors:  Brandon J Webb; Kristin Dascomb; Edward Stenehjem; Holenarasipur R Vikram; Neera Agrwal; Kenneth Sakata; Kathryn Williams; Bruno Bockorny; Kavitha Bagavathy; Shireen Mirza; Mark Metersky; Nathan C Dean
Journal:  Antimicrob Agents Chemother       Date:  2016-04-22       Impact factor: 5.191

4.  Risk factor-based analysis of community-acquired pneumonia, healthcare-associated pneumonia and hospital-acquired pneumonia: Microbiological distribution, antibiotic resistance, and clinical outcomes.

Authors:  Hakjun Hyun; Joon Young Song; Jin Gu Yoon; Hye Seong; Ji Yun Noh; Hee Jin Cheong; Woo Joo Kim
Journal:  PLoS One       Date:  2022-06-29       Impact factor: 3.752

5.  I-ROAD could be efficient in predicting severity of community-acquired pneumonia or healthcare-associated pneumonia.

Authors:  R Matsunuma; N Asai; Y Ohkuni; K Nakashima; T Iwasaki; M Misawa; K Norihiro
Journal:  Singapore Med J       Date:  2014-06       Impact factor: 1.858

6.  Clinical and radiological characteristics of 2009 H1N1 influenza associated pneumonia in young male adults.

Authors:  Ji Eun Lee; Kang-Won Choe; Sei Won Lee
Journal:  Yonsei Med J       Date:  2013-07       Impact factor: 2.759

Review 7.  Microbiology of healthcare-associated infections and the definition accuracy to predict infection by potentially drug resistant pathogens: a systematic review.

Authors:  Teresa Cardoso; Mónica Almeida; Jordi Carratalà; Irene Aragão; Altamiro Costa-Pereira; António E Sarmento; Luís Azevedo
Journal:  BMC Infect Dis       Date:  2015-12-11       Impact factor: 3.090

8.  Healthcare-Associated Pneumonia among Hospitalized Patients: Is It Different from Community Acquired Pneumonia?

Authors:  Gil Myung Seong; Miok Kim; Jaechun Lee; Jong Hoo Lee; Sun Young Jeong; Yunsuk Choi; Woo Jeong Kim
Journal:  Tuberc Respir Dis (Seoul)       Date:  2014-02-27

9.  Clinical implications for patients treated inappropriately for community-acquired pneumonia in the emergency department.

Authors:  Scott T Micek; Adam Lang; Brian M Fuller; Nicholas B Hampton; Marin H Kollef
Journal:  BMC Infect Dis       Date:  2014-02-05       Impact factor: 3.090

Review 10.  Classification of healthcare-associated infection: a systematic review 10 years after the first proposal.

Authors:  Teresa Cardoso; Mónica Almeida; N Deborah Friedman; Irene Aragão; Altamiro Costa-Pereira; António E Sarmento; Luís Azevedo
Journal:  BMC Med       Date:  2014-03-06       Impact factor: 8.775

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.