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An evaluation of outcomes and hospital readmissions among individuals with candidemia using statewide surveillance

Published online by Cambridge University Press:  02 April 2024

Elizabeth Suschana
Affiliation:
University of Connecticut School of Medicine, Farmington, CT, USA
Maria A. Correa
Affiliation:
CT Emerging Infections Program, Yale School of Public Health, New Haven, CT, USA
James Meek
Affiliation:
CT Emerging Infections Program, Yale School of Public Health, New Haven, CT, USA
David B. Banach*
Affiliation:
University of Connecticut School of Medicine, Farmington, CT, USA Yale School of Public Health, New Haven, CT, USA
*
Corresponding author: David B. Banach; Email: [email protected]
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Abstract

Using statewide surveillance, we describe candidemia in Connecticut during 2019–2020. Mortality was high among individuals with candidemia, and the readmission rate was high among survivors. Mortality and readmission were associated with hospital-onset candidemia. Understanding risk factors for mortality and readmission can optimize prevention strategies to reduce mortality and readmissions.

Type
Concise Communication
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

In the United States, candidemia is a leading cause of sepsis with high morbidity and mortality rates. Reference Tsay, Mu and Williams1 More than one-third of patients with an admission for sepsis are readmitted to an acute care hospital. Reference Zilberberg, Shorr, Micek and Kollef2,Reference Stenholt, Abdullah, Sørensen and Nielsen3 A 2019 US study estimated the mean cost per readmission as $16,852, with an annual cost of over $3.5 billion. Reference Falcone, Tiseo and Tascini4 Risk factors for readmission include medical comorbidities, prior antibiotic use, medical devices such as central venous catheters, diuretic use, and length of stay (LOS) of the index admission. Reference Zilberberg, Shorr, Micek and Kollef2,Reference Stenholt, Abdullah, Sørensen and Nielsen3,Reference Gadre, Shah, Mireles-Cabodevila, Patel and Duggal5

Among individuals with sepsis who are readmitted, Candida is a frequently identified cause of the index sepsis case. Reference Zilberberg, Shorr, Micek and Kollef2 However, readmission rates following candidemia and risk factors for readmission following candidemia are unknown. Using data from candidemia surveillance and hospital readmissions, we describe the mortality rate and rate of readmission among individuals with candidemia and factors associated with readmission. Understanding risk factors is essential for designing interventions focused on preventing readmissions and improving outcomes.

Methods

In 2019, the Connecticut Department of Public Health (CT-DPH) made candidemia a laboratory-reportable condition and began statewide surveillance in conjunction with the CT Emerging Infections Program (EIP) with funding from the US Centers for Disease Control and Prevention (CDC). During January 2019–June 2020, adult candidemia cases (age ≥20 yr) were identified through statewide surveillance at all acute care hospitals in Connecticut. Information for standardized case report forms was abstracted from medical charts for all incident cases identified. Cases identified within 30 days of the initial positive blood culture were considered duplicates. The ChimeData database, maintained by the Connecticut Hospital Association, includes information on all hospital admissions in Connecticut and basic patient identifying information. Patients were matched using name, date of birth, and zip code, allowing longitudinal tracking of individuals with an index candidemia case with subsequent hospitalizations in Connecticut. Index candidemia cases were followed for 180 days after index infection.

Each candidemia case was examined to determine if the patient died on index admission, survived index admission and was not readmitted, or survived the index admission and was readmitted to a Connecticut hospital. Variables examined in univariate analysis included clinical and demographic variables, including an adaptation of an existing modified 5-point frailty index, Reference Weaver, Malik, Jain, Yu, Kim and Khan6 Candida species, intravenous drug use, and timing of infection. Time from admission to culture date ≥3 days was classified as hospital-onset infection. Coronavirus disease 2019 (COVID-19)-associated candidemia, defined as an individual with a positive severe acute respiratory coronavirus virus 2 test within 90 days prior to the incident candidemia case, was excluded.

Variables were evaluated in univariate analyses with χ2 or Mann-Whitney tests, as appropriate. Multivariate logistic regression was performed to identify the association between age and location of infection onset and outcome variables of mortality during the index candidemia case and, among survivors, readmission within the study period. Analyses were performed using SPSS v.25 software (Armonk, NY: IBM Corp.). The study qualified as exempt by the Connecticut Department of Public Health Human Investigation Committee and University of Connecticut Institutional Review Board.

Results

During the study period, 347 candidemia cases met the inclusion criteria. Of these, 121 (34.9%) died during the index admission and 226 (65.1%) survived the index admission.

In univariate analysis, 54 (44.3%) individuals with cardiovascular disease died compared with 67 (29.8%) without cardiovascular disease (P = .007) (Table 1). Among those under 65 years of age, 51 individuals (29.5%) died during the index admission, and among those over 65 years of age, 70 individuals (40.2%) died (P = .036). Mortality was associated with hospital-onset infection (n = 94, 52.8%) compared with community-onset infection (n = 26, 15.6%; P < .001), albicans species (n = 60, 43.5%) compared with non-albicans species (n = 61, 29.2%; P = .006) (Table 2), and mean LOS prior to date of index surveillance culture (DISC) (11.32 vs 7.62 days; P = .015). In multivariate regression, mortality was associated with hospital-onset infection (OR 6.866; CI 4.009–11.760). The mean LOS after DISC for the index candidemia case for all survivors was 21.98 days.

Table 1. Description of clinical and healthcare-associated patient characteristics

* Indicates a result with a significant P value of <0.05.

a Statistical analysis was not performed if a sample size (n) was ≤10. The percentage of unknown values is not included in the table.

b Length of stay prior to DISC was calculated for cases with hospital-onset candidemia by subtracting the admission date from the date of the positive Candida blood culture.

c Variables included (1) congestive heart failure, (2) diabetes mellitus, (3) chronic obstructive pulmonary disease, (4) partially dependent or totally dependent functional health status based on a presentation to the hospital from a long-term care facility or short-term rehabilitation, and (5) heart disease including stroke, myocardial infarction, or peripheral vascular disease (1 point for each variable).

d Chronic lung disease includes cystic fibrosis and chronic pulmonary disease.

e Cardiovascular disease includes cerebrovascular accident/stroke/transient ischemic attack, congenital heart disease, congestive heart failure, myocardial infarction, and peripheral vascular disease.

f Gastrointestinal disease includes diverticular disease, inflammatory bowel disease, peptic ulcer disease, and short gut syndrome.

g Immunocompromised condition includes human immunodeficiency virus infection, primary immunodeficiency, hematopoietic stem cell transplant, and solid organ transplant.

h Neurologic condition includes cerebral palsy, chronic cognitive deficit, dementia, epilepsy/seizure/seizure disorder, multiple sclerosis, neuropathy, and Parkinson’s disease.

i Skin condition includes burn, decubitus/pressure ulcer, surgical wound, and other chronic ulcer or chronic wound.

Table 2. Description of demographics and infection characteristics

* Indicates a result with a significant P value of <0.05.

a Statistical analysis was not performed if a sample size (n) was ≤10.

Of the 226 individuals who survived the candidemia case, 128 (56.6%) were readmitted during the follow-up period. Among those readmitted, 96 (75%) were readmitted within 30 days post-discharge from the index admission. The mean index admission LOS for readmitted cases was 23.12 days, while the mean LOS for non-readmitted cases was 20.49 days. In univariate analysis, individuals who were readmitted were more likely younger than 65 years (n = 78, 63.9%) compared with those older than 65 years (n = 58, 48.5%; P = 0.017) and have hospital-onset candidemia (n = 56, 66.7%) compared with community-onset infection (n = 71, 50.4%; P = 0.017) (Table 1). In multivariate regression, readmission was associated with hospital-onset infection (OR = 1.791; CI = 1.008–3.184).

Discussion

Our study found a high mortality (34.9%) among individuals with candidemia and frequent readmission (56.6%) among those who survived the index infection. The overall mortality rate in our study was consistent with prior studies documenting a mortality range of 27.7%–58%. Reference Falcone, Tiseo and Tascini4,Reference Canela, Cardoso, Vitali, Coelho, Martinez and Prevalence7Reference Kato, Yoshimura and Suido9 Our study demonstrated that older age and hospital-onset infection are associated with increased mortality. These findings support previous studies identifying risk factors for mortality among individuals with candidemia. Reference Canela, Cardoso, Vitali, Coelho, Martinez and Prevalence7Reference Kato, Yoshimura and Suido9

To date, no studies have specifically evaluated readmissions among patients with candidemia using population-based surveillance data. In our study, the proportion of patients readmitted was higher than that reported in prior studies of patients with sepsis with 30-day readmission rates ranging from 17.5% to 32.0%. Reference Zilberberg, Shorr, Micek and Kollef2,Reference Stenholt, Abdullah, Sørensen and Nielsen3 Our higher readmission rate may have reflected improved capture of readmissions using statewide data including readmissions outside the hospital where the index infection occurred. Additionally, our study followed patients for a longer period after the index admission. Our findings of an increased risk of readmissions associated with hospital-onset infection underscores the importance of infection prevention activities to prevent hospital-onset candidemia.

Study strengths include our use of statewide surveillance data and statewide readmission data, allowing for longitudinal tracking of patients with candidemia and a unique analysis of readmissions. The study captured a broad, statewide population as opposed to prior studies limited to a single institution.

The study had several limitations. Individuals readmitted to facilities outside of Connecticut would not have been captured in ChimeData. Although we explored age and location of infection onset in multivariate analysis, the relatively small sample size precluded our ability to explore many variables, including subcategories of comorbidities and healthcare-related factors that may have limited the statistical power to detect differences among included variables. This study was limited to variables included in the EIP surveillance which may have excluded factors that could affect candidemia-associated morbidity and mortality.

The study period included the early phase of the COVID-19 pandemic, potentially limiting generalizability to candidemia outside this period. COVID-19-associated candidemia demonstrated an atypical epidemiology, particularly during the initial phase of the pandemic. Reference Seagle, Jackson and Lockhart10 To account for the unique clinical presentation and management of individuals with COVID-19 during this period, we removed COVID-19-associated cases from our analysis.

Mortality was high among patients with candidemia and was associated with hospital-onset infection. The readmission rate was higher in survivors of candidemia compared to overall survivors of sepsis, and readmission was associated with hospital-onset infection. Understanding risk factors for candidemia-associated mortality and readmission can guide clinical management and prevention strategies to reduce mortality and readmissions.

Acknowledgments

The authors thank Paula Clogher, MPH, for her involvement in the conceptualization and early phases of this project.

Funding support

The CT EIP was supported by Cooperative Agreement NU50CK000488 from the CDC. The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the Connecticut Department of Public Health, the state of Connecticut or the CDC.

Competing interests

The authors report no conflicts of interest relevant to this article.

References

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Figure 0

Table 1. Description of clinical and healthcare-associated patient characteristics

Figure 1

Table 2. Description of demographics and infection characteristics