Dataset Information

Increasing incidence of hospital-acquired and healthcare-associated bacteremia in northeast Thailand: a multicenter surveillance study.

ABSTRACT:

Background

Little is known about the epidemiology of nosocomial bloodstream infections in public hospitals in developing countries. We evaluated trends in incidence of hospital-acquired bacteremia (HAB) and healthcare-associated bacteremia (HCAB) and associated mortality in a developing country using routinely available databases.

Methods

Information from the microbiology and hospital databases of 10 provincial hospitals in northeast Thailand was linked with the national death registry for 2004-2010. Bacteremia was considered hospital-acquired if detected after the first two days of hospital admission, and healthcare-associated if detected within two days of hospital admission with a prior inpatient episode in the preceding 30 days.

Results

A total of 3,424 patients out of 1,069,443 at risk developed HAB and 2,184 out of 119,286 at risk had HCAB. Of these 1,559 (45.5%) and 913 (41.8%) died within 30 days, respectively. Between 2004 and 2010, the incidence rate of HAB increased from 0.6 to 0.8 per 1,000 patient-days at risk (p<0.001), and the cumulative incidence of HCAB increased from 1.2 to 2.0 per 100 readmissions (p<0.001). The most common causes of HAB were Acinetobacter spp. (16.2%), Klebsiella pneumoniae (13.9%), and Staphylococcus aureus (13.9%), while those of HCAB were Escherichia coli (26.3%), S. aureus (14.0%), and K. pneumoniae (9.7%). There was an overall increase over time in the proportions of ESBL-producing E. coli causing HAB and HCAB.

Conclusions

This study demonstrates a high and increasing incidence of HAB and HCAB in provincial hospitals in northeast Thailand, increasing proportions of ESBL-producing isolates, and very high associated mortality.

SUBMITTER: Hongsuwan M

PROVIDER: S-EPMC4195656 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Increasing incidence of hospital-acquired and healthcare-associated bacteremia in northeast Thailand: a multicenter surveillance study.

Hongsuwan Maliwan M Srisamang Pramot P Kanoksil Manas M Luangasanatip Nantasit N Jatapai Anchalee A Day Nicholas P NP Peacock Sharon J SJ Cooper Ben S BS Limmathurotsakul Direk D

PloS one 20141013 10

<h4>Background</h4>Little is known about the epidemiology of nosocomial bloodstream infections in public hospitals in developing countries. We evaluated trends in incidence of hospital-acquired bacteremia (HAB) and healthcare-associated bacteremia (HCAB) and associated mortality in a developing country using routinely available databases.<h4>Methods</h4>Information from the microbiology and hospital databases of 10 provincial hospitals in northeast Thailand was linked with the national death reg ...[more]

PMID: 25310563

Similar Datasets

Project description:ImportanceNon-ventilator-associated hospital-acquired pneumonia (NV-HAP) is a common and deadly hospital-acquired infection. However, inconsistent surveillance methods and unclear estimates of attributable mortality challenge prevention.ObjectiveTo estimate the incidence, variability, outcomes, and population attributable mortality of NV-HAP.Design, setting, and participantsThis cohort study retrospectively applied clinical surveillance criteria for NV-HAP to electronic health record data from 284 US hospitals. Adult patients admitted to the Veterans Health Administration hospital from 2015 to 2020 and HCA Healthcare hospitals from 2018 to 2020 were included. The medical records of 250 patients who met the surveillance criteria were reviewed for accuracy.ExposuresNV-HAP, defined as sustained deterioration in oxygenation for 2 or more days in a patient who was not ventilated concurrent with abnormal temperature or white blood cell count, performance of chest imaging, and 3 or more days of new antibiotics.Main outcomes and measuresNV-HAP incidence, length-of-stay, and crude inpatient mortality. Attributable inpatient mortality by 60 days follow-up was estimated using inverse probability weighting, accounting for both baseline and time-varying confounding.ResultsAmong 6 022 185 hospitalizations (median [IQR] age, 66 [54-75] years; 1 829 475 [26.1%] female), there were 32 797 NV-HAP events (0.55 per 100 admissions [95% CI, 0.54-0.55] per 100 admissions and 0.96 per 1000 patient-days [95% CI, 0.95-0.97] per 1000 patient-days). Patients with NV-HAP had multiple comorbidities (median [IQR], 6 [4-7]), including congestive heart failure (9680 [29.5%]), neurologic conditions (8255 [25.2%]), chronic lung disease (6439 [19.6%]), and cancer (5,467 [16.7%]); 24 568 cases (74.9%) occurred outside intensive care units. Crude inpatient mortality was 22.4% (7361 of 32 797) for NV-HAP vs 1.9% (115 530 of 6 022 185) for all hospitalizations; 12 449 (8.0%) were discharged to hospice. Median [IQR] length-of-stay was 16 (11-26) days vs 4 (3-6) days. On medical record review, pneumonia was confirmed by reviewers or bedside clinicians in 202 of 250 patients (81%). It was estimated that NV-HAP accounted for 7.3% (95% CI, 7.1%-7.5%) of all hospital deaths (total hospital population inpatient death risk of 1.87% with NV-HAP events included vs 1.73% with NV-HAP events excluded; risk ratio, 0.927; 95% CI, 0.925-0.929).Conclusions and relevanceIn this cohort study, NV-HAP, which was defined using electronic surveillance criteria, was present in approximately 1 in 200 hospitalizations, of whom 1 in 5 died in the hospital. NV-HAP may account for up to 7% of all hospital deaths. These findings underscore the need to systematically monitor NV-HAP, define best practices for prevention, and track their impact.

Project description:BackgroundSocial and hospital environmental factors that may be associated with hospital-acquired pneumonia (HAP) have not been evaluated. Comprehensive risk assessment for the incidence of HAP including sociodemographic, clinical, and hospital environmental factors was conducted using national health insurance claims data.MethodsThis is a population-based retrospective cohort study of adult patients who were hospitalized for more than 3 days from the Health Insurance Review and Assessment Service-National Inpatient Sample data between January 1, 2016 and December 31, 2018 in South Korea. Multivariable logistic regression analyses were conducted to identify the factors associated with the incidence of HAP.ResultsAmong the 512,278 hospitalizations, we identified 25,369 (5.0%) HAP cases. In multivariable analysis, well-known risk factors associated with HAP such as older age (over 70 vs. 20-29; adjusted odds ratio [aOR], 3.66; 95% confidence interval [CI] 3.36-3.99), male sex (aOR, 1.35; 95% CI 1.32-1.39), pre-existing lung diseases (asthma [aOR, 1.73; 95% CI 1.66-1.80]; chronic obstructive pulmonary disease [aOR, 1.62; 95% CI 1.53-1.71]; chronic lower airway disease [aOR, 1.79; 95% CI 1.73-1.85]), tube feeding (aOR, 3.32; 95% CI 3.16-3.50), suctioning (aOR, 2.34; 95% CI 2.23-2.47), positioning (aOR, 1.63; 95% CI 1.55-1.72), use of mechanical ventilation (aOR, 2.31; 95% CI 2.15-2.47), and intensive care unit admission (aOR, 1.29; 95% CI 1.22-1.36) were associated with the incidence of HAP. In addition, poverty (aOR, 1.08; 95% CI 1.04-1.13), general hospitals (aOR, 1.54; 95% CI 1.39-1.70), higher bed-to-nurse ratio (Grade ≥ 5; aOR, 1.45; 95% CI 1.32-1.59), higher number of beds per hospital room (6 beds; aOR, 3.08; 95% CI 2.77-3.42), and ward with caregiver (aOR, 1.19; 95% CI 1.12-1.26) were related to the incidence of HAP.ConclusionsThe incidence of HAP was associated with various sociodemographic, clinical, and hospital environmental factors. Thus, taking a comprehensive approach to prevent and treat HAP is important.

Dataset Information

Increasing incidence of hospital-acquired and healthcare-associated bacteremia in northeast Thailand: a multicenter surveillance study.

Background

Methods

Results

Conclusions

Publications

Increasing incidence of hospital-acquired and healthcare-associated bacteremia in northeast Thailand: a multicenter surveillance study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets