Dataset Information

Impact of the COVID-19 pandemic on the incidence of healthcare facility-onset Clostridioides difficile infection in hospitalized patients with sepsis: Interrupted time series analysis using Japanese Diagnosis Procedure Combination data.

ABSTRACT:

Objectives

Healthcare facility-onset Clostridioides difficile infection (HO-CDI) is a major nosocomial infection associated with high mortality and healthcare costs. We aimed to determine if HO-CDI incidence decreased due to the COVID-19 pandemic. We hypothesized that the pandemic decreased HO-CDI as healthcare workers became more diligent in handwashing and sanitization.

Methods

In this retrospective cohort study, adult patients with sepsis hospitalized in general wards from January 2018 to February 2021 were identified using a nationwide Japanese administrative database. Patients were divided into two groups according to the hospitalization date (before and after the first declaration of a state of emergency). The primary outcome was a change in the level of the HO-CDI monthly incidence ratio (per 10000 patient-days).

Results

Of the 49,156 eligible hospitalizations for sepsis, 41,870 were before and 7,283 were after the first state of emergency declaration. Interrupted time-series (ITS) analysis showed no significant difference in the HO-CDI incidence ratio after Japan's first state of emergency declaration (level change -1.0, 95% confidence interval (CI) -8.6 to 6.6, p = 0.8, slope change 0.06, 95% CI -0.17 to 0.3, p = 0.6). The overall HO-CDI incidence ratio was 3.86/10000 patient-days (interquartile range 2.97-4.53); higher incidence existed in subgroups with older adults or a lower Barthel index at admission.

Conclusions

No significant change in HO-CDI incidence was observed in patients with sepsis hospitalized in general wards before and after Japan's first state of emergency declaration. Our study revealed that HO-CDI in general wards in Japan had been consistently decreasing since before the COVID-19 pandemic.

SUBMITTER: Endo K

PROVIDER: S-EPMC9822552 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Impact of the COVID-19 pandemic on the incidence of healthcare facility-onset Clostridioides difficile infection in hospitalized patients with sepsis: Interrupted time series analysis using Japanese Diagnosis Procedure Combination data.

Endo Koji K Mizuno Kayoko K Takeuchi Masato M Kawakami Koji K

Anaerobe 20230107

<h4>Objectives</h4>Healthcare facility-onset Clostridioides difficile infection (HO-CDI) is a major nosocomial infection associated with high mortality and healthcare costs. We aimed to determine if HO-CDI incidence decreased due to the COVID-19 pandemic. We hypothesized that the pandemic decreased HO-CDI as healthcare workers became more diligent in handwashing and sanitization.<h4>Methods</h4>In this retrospective cohort study, adult patients with sepsis hospitalized in general wards from Janu ...[more]

PMID: 36623703

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Project description:IntroductionClostridioides difficile is primarily associated with hospital-acquired diarrhoea. The disease burden is aggravated in patients with comorbidities due to increased likelihood of polypharmacy, extended hospital stays and compromised immunity. The study aimed to investigate comorbidity predictors of healthcare facility-onset C. difficile infection (HO-CDI) in hospitalized patients.MethodologyWe performed a cross sectional study of 333 patients who developed diarrhoea during hospitalization. The patients were tested for CDI. Data on demographics, admission information, medication exposure and comorbidities were collected. The comorbidities were also categorised according to Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). Comorbidity predictors of HO-CDI were identified using multiple logistic regression analysis.ResultsOverall, 230/333 (69%) patients had comorbidities, with the highest proportion being in patients aged over 60 years. Among the patients diagnosed with HO-CDI, 63/71(88.7%) reported comorbidities. Pairwise comparison between HO-CDI patients and comparison group revealed significant differences in hypertension, anemia, tuberculosis, diabetes, chronic kidney disease and chronic obstructive pulmonary disease. In the multiple logistic regression model significant predictors were chronic obstructive pulmonary disease (odds ratio [OR], 9.51; 95% confidence interval [CI], 1.8-50.1), diabetes (OR, 3.56; 95% CI, 1.11-11.38), chronic kidney disease (OR, 3.88; 95% CI, 1.57-9.62), anemia (OR, 3.67; 95% CI, 1.61-8.34) and hypertension (OR, 2.47; 95% CI, 1.-6.07). Among the comorbidity scores, CCI score of 2 (OR 6.67; 95% CI, 2.07-21.48), and ECI scores of 1 (OR, 4.07; 95% CI, 1.72-9.65), 2 (OR 2.86; 95% CI, 1.03-7.89), and ≥ 3 (OR, 4.87; 95% CI, 1.40-16.92) were significantly associated with higher odds of developing HO-CDI.ConclusionChronic obstructive pulmonary disease, chronic kidney disease, anemia, diabetes, and hypertension were associated with an increased risk of developing HO-CDI. Besides, ECI proved to be a better predictor for HO-CDI. Therefore, it is imperative that hospitals should capitalize on targeted preventive approaches in patients with these underlying conditions to reduce the risk of developing HO-CDI and limit potential exposure to other patients.

Project description:BackgroundHealthcare facility-onset Clostridioides difficile infection is the leading cause of antibiotic-associated diarrhea, and is associated with morbidity and mortality. The use of antibiotics is an important risk factor for healthcare facility-onset C. difficile infection. We evaluated the correlation between the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption, according to antibiotic class.MethodsPatients with healthcare facility-onset C. difficile infection from January 2017 to December 2018 at Konkuk University Medical Center (a tertiary medical center) were included. We evaluated changes in the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption. The correlation between the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption was evaluated two ways: without a time interval and with 1-month interval matching.ResultsA total of 446 episodes of healthcare facility-onset C. difficile infection occurred during the study period. The incidence of healthcare facility-onset C. difficile infection was 9.3 episodes per 10,000 patient-days, and increased significantly. We observed an increase in the consumption of β-lactam/β-lactamase inhibitors, and a decrease in the consumption of other classes of antibiotics, with a significant decrease in the consumption of fluoroquinolones, glycopeptides, and clindamycin (P = 0.01, P < 0.001, and P = 0.001, respectively). The consumption of β-lactam/β-lactamase inhibitors was independently correlated with the incidence of healthcare facility-onset C. difficile infection in the analysis without a time interval. When the analysis was conducted with 1-month interval matching, glycopeptide consumption was independently associated with the incidence of healthcare facility-onset C. difficile infection.ConclusionsDespite the reduction in fluoroquinolone and clindamycin consumption, the incidence of healthcare facility-onset C. difficile infection increased during the study period, and was correlated with increased consumption of β-lactam/β-lactamase inhibitors. Reduced consumption of specific antibiotics may be insufficient to reduce the incidence of healthcare facility-onset C. difficile infection.

Dataset Information

Impact of the COVID-19 pandemic on the incidence of healthcare facility-onset Clostridioides difficile infection in hospitalized patients with sepsis: Interrupted time series analysis using Japanese Diagnosis Procedure Combination data.

Objectives

Methods

Results

Conclusions

Publications

Impact of the COVID-19 pandemic on the incidence of healthcare facility-onset Clostridioides difficile infection in hospitalized patients with sepsis: Interrupted time series analysis using Japanese Diagnosis Procedure Combination data.

Similar Datasets

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