scholarly journals Analysis of National Healthcare Safety Network Clostridioides difficile Infection Standardized Infection Ratio by Test Type

2020 ◽  
Vol 41 (S1) ◽  
pp. s116-s118
Author(s):  
Qunna Li ◽  
Andrea Benin ◽  
Alice Guh ◽  
Margaret A. Dudeck ◽  
Katherine Allen-Bridson ◽  
...  
Keyword(s):  
Risk Adjustment ◽  
Healthcare Facility ◽  
Directional Pattern ◽  
Incidence Rates ◽  
Nucleic Acid Amplification ◽  
Test Type ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection ◽  
The Mean ◽  
The Difference

Background: The NHSN has used positive laboratory tests for surveillance of Clostridioides difficile infection (CDI) LabID events since 2009. Typically, CDIs are detected using enzyme immunoassays (EIAs), nucleic acid amplification tests (NAATs), or various test combinations. The NHSN uses a risk-adjusted, standardized infection ratio (SIR) to assess healthcare facility-onset (HO) CDI. Despite including test type in the risk adjustment, some hospital personnel and other stakeholders are concerned that NAAT use is associated with higher SIRs than are EIAs. To investigate this issue, we analyzed NHSN data from acute-care hospitals for July 1, 2017 through June 30, 2018. Methods: Calendar quarters for which CDI test type was reported as NAAT (includes NAAT, glutamate dehydrogenase (GDH)+NAAT and GDH+EIA followed by NAAT if discrepant) or EIA (includes EIA and GDH+EIA) were selected. HO CDI SIRs were calculated for facility-wide inpatient locations. We conducted the following analyses: (1) Among hospitals that did not switch their test type, we compared the distribution of HO incident rates and SIRs by those reporting NAAT vs EIA. (2) Among hospitals that switched their test type, we selected quarters with a stable switch pattern of 2 consecutive quarters of each of EIA and NAAT (categorized as pattern EIA-to-NAAT or NAAT-to-EIA). Pooled semiannual SIRs for EIA and NAAT were calculated, and a paired t test was used to evaluate the difference of SIRs by switch pattern. Results: Most hospitals did not switch test types (3,242, 89%), and 2,872 (89%) reported sufficient data to calculate SIRs, with 2,444 (85%) using NAAT. The crude pooled HO CDI incidence rates for hospitals using EIA clustered at the lower end of the histogram versus rates for NAAT (Fig. 1). The SIR distributions of both NAAT and EIA overlapped substantially and covered a similar range of SIR values (Fig. 1). Among hospitals with a switch pattern, hospitals were equally likely to have an increase or decrease in their SIR (Fig. 2). The mean SIR difference for the 42 hospitals switching from EIA to NAAT was 0.048 (95% CI, −0.189 to 0.284; P = .688). The mean SIR difference for the 26 hospitals switching from NAAT to EIA was 0.162 (95% CI, −0.048 to 0.371; P = .124). Conclusions: The pattern of SIR distributions of both NAAT and EIA substantiate the soundness of NHSN risk adjustment for CDI test types. Switching test type did not produce a consistent directional pattern in SIR that was statistically significant.Disclosures: NoneFunding: None

scholarly journals Analysis of National Healthcare Safety Network Clostridioides difficile Infection Standardized Infection Ratio by Test Type

2020 ◽  
Vol 41 (S1) ◽  
pp. s87-s89
Author(s):  
Qunna Li ◽  
Andrea Benin ◽  
Alice Guh ◽  
Margaret Dudeck ◽  
Katherine Allen-Bridson ◽  
...  
Keyword(s):  
Risk Adjustment ◽  
Healthcare Facility ◽  
Directional Pattern ◽  
Incidence Rates ◽  
Nucleic Acid Amplification ◽  
Test Type ◽  
National Healthcare ◽  
Clostridioides Difficile ◽  
National Healthcare Safety Network ◽  
The Mean

Background: The National Healthcare Safety Network (NHSN) has used positive laboratory tests for surveillance of Clostridioides difficile infection (CDI) LabID events since 2009. Typically, CDIs are detected using enzyme immunoassays (EIAs), nucleic acid amplification tests (NAATs), or various test combinations. The NHSN uses a risk-adjusted, standardized infection ratio (SIR) to assess healthcare facility-onset (HO) CDI. Despite including test type in the risk adjustment, some hospital personnel and other stakeholders are concerned that NAAT use is associated with higher SIRs than EIA use. To investigate this issue, we analyzed NHSN data from acute-care hospitals for July 1, 2017, through June 30, 2018. Methods: Calendar quarters where CDI test type was reported as NAAT (includes NAAT, glutamate dehydrogenase (GDH)+NAAT and GDH+EIA followed by NAAT if discrepant) or EIA (includes EIA and GDH+EIA) were selected. HO-CDI SIRs were calculated for facility-wide inpatient locations. We conducted the following 2 analyses: (1) Among hospitals that did not switch their test type, we compared the distribution of HO incident rates and SIRs by those reporting NAAT versus EIA. (2) Among hospitals that switched their test type, we selected quarters with a stable switch pattern of 2 consecutive quarters of each of EIA and NAAT (categorized as EIA-to-NAAT or NAAT-to-EIA). Pooled semiannual SIRs for EIA and NAAT were calculated, and a paired t test was used to evaluate the difference in SIRs by switch pattern. Results: Most hospitals did not switch test types (3,242, 89%), and 2,872 (89%) reported sufficient data to calculate an SIR, with 2,444 (85%) using NAAT. The crude pooled HO CDI incidence rates for hospitals using EIAs clustered at the lower end of the histogram versus rates for NAATs (Fig. 1). The SIR distributions, both NAATs and EIAs, overlapped substantially and covered a similar range of SIR values (Fig. 1). Among hospitals with a switch pattern, hospitals were equally likely to have an increase or decrease in their SIRs (Fig. 2). The mean SIR difference for the 42 hospitals switching from EIA to NAAT was 0.048 (95% CI, −0.189 to 0.284; P = .688). The mean SIR difference for the 26 hospitals switching from NAAT to EIA was 0.162 (95% CI, −0.048 to 0.371; P = .124). Conclusions: The pattern of SIR distribution for both NAAT and EIA substantiate the soundness of the NHSN’s risk adjustment for CDI test types. Switching test type did not produce a consistent directional pattern in SIR that was statistically significant.Funding: NoneDisclosures: None

Using diagnostic stewardship to reduce rates, healthcare expenditures and accurately identify cases of hospital-onset Clostridioides difficile infection

2020 ◽  
Vol 42 (1) ◽  
pp. 51-56
Author(s):  
Dipesh Solanky ◽  
Derek K. Juang ◽  
Scott T. Johns ◽  
Ian C. Drobish ◽  
Sanjay R. Mehta ◽  
...  
Keyword(s):  
Healthcare Facility ◽  
Nucleic Acid Amplification ◽  
Fiscal Year ◽  
Hospital Acquired Infection ◽  
Laxative Use ◽  
Clostridioides Difficile ◽  
Hospitalization Costs ◽  
Clostridioides Difficile Infection ◽  
Hospital Acquired ◽  
Hospital Days

AbstractObjective:Lack of judicious testing can result in the incorrect diagnosis of Clostridioides difficile infection (CDI), unnecessary CDI treatment, increased costs and falsely augmented hospital-acquired infection (HAI) rates. We evaluated facility-wide interventions used at the VA San Diego Healthcare System (VASDHS) to reduce healthcare-onset, healthcare-facility–associated CDI (HO-HCFA CDI), including the use of diagnostic stewardship with test ordering criteria.Design:We conducted a retrospective study to assess the effectiveness of measures implemented to reduce the rate of HO-HCFA CDI at the VASDHS from fiscal year (FY)2015 to FY2018.Interventions:Measures executed in a stepwise fashion included a hand hygiene initiative, prompt isolation of CDI patients, enhanced terminal room cleaning, reduction of fluoroquinolone and proton-pump inhibitor use, laboratory rejection of solid stool samples, and lastly diagnostic stewardship with C. difficile toxin B gene nucleic acid amplification testing (NAAT) criteria instituted in FY2018.Results:From FY2015 to FY2018, 127 cases of HO-HCFA CDI were identified. All rate-reducing initiatives resulted in decreased HO-HCFA cases (from 44 to 13; P ≤ .05). However, the number of HO-HCFA cases (34 to 13; P ≤ .05), potential false-positive testing associated with colonization and laxative use (from 11 to 4), hospital days (from 596 to 332), CDI-related hospitalization costs (from $2,780,681 to $1,534,190) and treatment cost (from $7,158 vs $1,476) decreased substantially following the introduction of diagnostic stewardship with test criteria from FY2017 to FY2018.Conclusions:Initiatives to decrease risk for CDI and diagnostic stewardship of C. difficile stool NAAT significantly reduced HO-HCFA CDI rates, detection of potential false-positives associated with laxative use, and lowered healthcare costs. Diagnostic stewardship itself had the most dramatic impact on outcomes observed and served as an effective tool in reducing HO-HCFA CDI rates.

scholarly journals 797. Management of Patients with Multiple Clostridioides difficile Infection Recurrences using a Tapered-Pulsed Fidaxomicin Strategy

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S441-S442
Author(s):  
Xing Tan ◽  
Andrew M Skinner ◽  
Benjamin Sirbu ◽  
Larry H Danziger ◽  
Dale N Gerding ◽  
...  
Keyword(s):  
First Episode ◽  
Initial Symptom ◽  
Once Daily ◽  
The Past ◽  
Clostridioides Difficile ◽  
Time To Recurrence ◽  
Clostridioides Difficile Infection ◽  
The Mean ◽  
Systemic Antibiotics

Abstract Background There is a paucity of data assessing outcomes of alternate fidaxomicin strategies in patients with recurrent Clostridioides difficile infection (rCDI). The objective of our study is to evaluate a tapered-pulsed (T-P) fidaxomicin regimen that was administered immediately following a course of CDI treatment with initial symptom resolution in patients with multiple rCDI. Methods We reviewed the characteristics and outcomes of 46 consecutive patients who received T-P fidaxomicin between January 1, 2014-June 30, 2019 in a specialty CDI clinic. The first episode in which fidaxomicin T-P was administered was analyzed. Failure was defined as the persistence of diarrhea and/or the need for additional CDI treatment at any time on T-P fidaxomicin. Sustained clinical cure (SCC) was defined as resolution of diarrhea without recurrence. Recurrence was defined as the return of diarrhea requiring retreatment with CDI therapy after completion of T-P fidaxomicin. Both SCC and recurrence were evaluated at 30 and 90 days after completion of T-P fidaxomicin. Results The mean±SD age of the 46 patients was 63.2±19.9 years, 71.7% were female, and the mean±SD CDI episodes within the past year was 3±1.4 . Most patients (73.9%) had previously failed a vancomycin tapered and/or pulsed regimen. Prior to administering T-P fidaxomicin, a treatment regimen was given to ensure resolution of symptoms. The CDI treatment most commonly used (58.7%) was vancomycin. The T-P fidaxomicin regimen used consisted of 200 mg given once daily for 7 days followed by 200 mg every other day for a median (min-max) duration of 33 (6-120) days. Two patients (4%) failed to respond to T-P fidaxomicin; 34 (74%) and 28 (61%) achieved SCC at 30 and 90 days, respectively. Among the 44 patients that successfully completed the T-P fidaxomicin regimen, recurrence developed in 10 (22.7%) and 16 (36.4%) of patients at 30 and 90 days, respectively, with a median (min-max) time to recurrence of 20 (3-87) days (Figure 1). Four patients with recurrence had received subsequent systemic antibiotics. Figure 1. Course of CDI therapy and follow-up Conclusion A tapered-pulsed fidaxomicin strategy may be effective in patients with multiply rCDI who are refractory to other treatments, including a vancomycin tapered and pulsed regimen. Disclosures Larry H. Danziger, PharmD, Merck (Speaker’s Bureau)

scholarly journals Diagnostic Stewardship Effectively Reduces Healthcare-Onset Clostridioides difficile Infections and Concurrent Laxative Use

2020 ◽  
Vol 41 (S1) ◽  
pp. s189-s191
Author(s):  
Dipesh Solanky ◽  
Ian Drobish ◽  
Derek Juang ◽  
Scott Johns ◽  
Sanjay Mehta ◽  
...  
Keyword(s):  
Enteral Feeding ◽  
Demographic Data ◽  
Healthcare Facility ◽  
The United States ◽  
Nucleic Acid Amplification ◽  
Fiscal Year ◽  
Medication Cost ◽  
Laxative Use ◽  
Clostridioides Difficile ◽  
Test Ordering

Background:Clostridioides difficile infection (CDI) accounts for >500,000 community-, nursing-, and hospital-acquired infections (HAIs), as well as 15,000–30,000 deaths, and =$4.8 billion in the United States annually. C. difficile toxin B gene nucleic acid amplification testing (NAAT) cannot distinguish between active CDI and colonization, particularly in the setting of laxative use or enteral feeding. Lack of judicious testing can result in the incorrect diagnosis of CDI, unnecessary CDI treatment, increased costs, and falsely augmented HAI rates. Like many healthcare facilities, the VA San Diego Healthcare System (VASDHS) solely utilizes C. difficile NAAT for CDI diagnosis. The aim of this study was to implement and evaluate a facility-wide initiative at the VASDHS to reduce healthcare onset, healthcare facility associated CDI (HO-HCFA CDI), including the use of a test ordering algorithm. Methods: From fiscal year (FY) 2015–2018, various measures were implemented including a hand hygiene initiative, reduction in fluoroquinolone usage, prompt isolation of patients with CDI, thorough terminal cleaning of rooms, and, lastly, a test-ordering algorithm starting FY2018. A retrospective study was performed to assess VASDHS HO-HCFA CDI case incidence, risk factors for infection, laxative or enteral feeding use at the time of testing, and CDI treatment. Results: Patient demographic data, medical history, CDI history, laxative use, treatment, and cost of CDI treatment were reviewed. From 2015 to 2018, 127 cases of HO-HCFA CDI were identified. The total number of HO-HCFA CDI cases and medication cost for CDI treatment were dramatically reduced from 2017 to 2018 following implementation of the test-ordering algorithm (Table 1, Fig. 1). This trend corresponded to a significant reduction in median HO-HCFA CDI cases per month (P = .02), medication cost of CDI treatment (P = .02), and proton pump inhibitor (PPI) use at the time of testing (P = .01). The number of positive HO-HCFA CDI cases associated with laxative use or escalation at the time of CDI testing (accounting for those on chronic laxatives) also decreased across the study period—most dramatically from 2015 vs 2016 (20 vs 14) and 2017 vs 2018 (11 vs 4) (Table 1). Conclusions: At the VASDHS, diagnostic stewardship of C. difficile NAAT with the use of a test-ordering algorithm significantly reduced HO-HCFA CDI incidence and treatment cost. This trend also corresponded with significantly less PPI use at the time of testing and reduced detection of colonization among patients with laxative-induced diarrhea. Diagnostic stewardship may serve as an effective tool to correctly diagnose and treat HO-HCFA CDI, while significantly reducing treatment costs.Funding: NoneDisclosures: None

scholarly journals 2356. Increased Clinical Specificity with Ultrasensitive Detection of Clostridioides difficile Toxins: Reduction of Overdiagnosis Compared with Nucleic Acid Amplification Tests

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S811-S812 ◽  
Author(s):  
Johanna Sandlund ◽  
Joel Estis ◽  
Phoebe Katzenbach ◽  
Niamh Nolan ◽  
Kirstie Hinson ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Disease Severity ◽  
Single Molecule ◽  
Clinical Performance ◽  
Neutralization Assay ◽  
Nucleic Acid Amplification ◽  
Clostridioides Difficile ◽  
Percent Agreement ◽  
Clostridioides Difficile Infection ◽  
Healthcare Associated

Abstract Background Clostridioides difficile infection (CDI) is one of the most common healthcare-associated infections, resulting in significant morbidity, mortality, and economic burden. Diagnosis of CDI relies on the assessment of clinical presentation and laboratory tests. We have evaluated the clinical performance of ultrasensitive Single Molecule Counting technology for detection of C. difficile toxins A and B. Methods Stool specimens from 298 patients with suspected CDI were tested with nucleic acid amplification test (NAAT; BD MAX™ Cdiff assay or Xpert® C. difficile assay) and Singulex Clarity® C. difficile toxins A/B assay. Specimens with discordant results were tested with cell cytotoxicity neutralization assay (CCNA), and results were correlated with disease severity and outcome. Results There were 64 NAAT-positive and 234 NAAT-negative samples. Of the 32 NAAT+/Clarity− and 4 NAAT-/Clarity+ samples, there were 26 CCNA− and 4 CCNA- samples, respectively. CDI relapse or overall death was more common in NAAT+/toxin+ patients than in NAAT+/toxin− and NAAT−/toxin− patients, and NAAT+/toxin+ patients were 3.7 times more likely to experience relapse or death (Figure 1). The clinical specificity of Clarity and NAAT was 97.4% and 89.0%, respectively, and overdiagnosis was over three times more common in NAAT+/toxin− than in NAAT+/toxin+ patients (Figure 2). Negative percent agreement between NAAT and Clarity was 98.3%, and positive percent agreement increased from 50.0% to effective 84.2% and 94.1% after CCNA testing and clinical assessment. Conclusion The Clarity assay was superior to NAATs in diagnosis of CDI, by reducing overdiagnosis and thereby increasing clinical specificity, and presence of toxins was associated with disease severity and outcome. Disclosures All authors: No reported disclosures.

scholarly journals Correlation of prevention practices with rates of health care-associated Clostridioides difficile infection

2019 ◽  
Vol 41 (1) ◽  
pp. 52-58
Author(s):  
Jackson S. Musuuza ◽  
Linda McKinley ◽  
Julie A. Keating ◽  
Chidi Obasi ◽  
Mary Jo Knobloch ◽  
...  
Keyword(s):  
Healthcare Facility ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Electronic Survey ◽  
Contact Precautions ◽  
Clostridioides Difficile ◽  
Increased Risk ◽  
Clostridioides Difficile Infection ◽  
Bed Days ◽  
Acute Care Facilities

AbstractObjective:We examined Clostridioides difficile infection (CDI) prevention practices and their relationship with hospital-onset healthcare facility-associated CDI rates (CDI rates) in Veterans Affairs (VA) acute-care facilities.Design:Cross-sectional study.Methods:From January 2017 to February 2017, we conducted an electronic survey of CDI prevention practices and hospital characteristics in the VA. We linked survey data with CDI rate data for the period January 2015 to December 2016. We stratified facilities according to whether their overall CDI rate per 10,000 bed days of care was above or below the national VA mean CDI rate. We examined whether specific CDI prevention practices were associated with an increased risk of a CDI rate above the national VA mean CDI rate.Results:All 126 facilities responded (100% response rate). Since implementing CDI prevention practices in July 2012, 60 of 123 facilities (49%) reported a decrease in CDI rates; 22 of 123 facilities (18%) reported an increase, and 41 of 123 (33%) reported no change. Facilities reporting an increase in the CDI rate (vs those reporting a decrease) after implementing prevention practices were 2.54 times more likely to have CDI rates that were above the national mean CDI rate. Whether a facility’s CDI rates were above or below the national mean CDI rate was not associated with self-reported cleaning practices, duration of contact precautions, availability of private rooms, or certification of infection preventionists in infection prevention.Conclusions:We found considerable variation in CDI rates. We were unable to identify which particular CDI prevention practices (i.e., bundle components) were associated with lower CDI rates.

scholarly journals 837. Prior Hospitalizations Among Cases of Community-Associated Clostridioides difficile Infection—10 US States, 2014–2015

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S9-S10 ◽  
Author(s):  
Kelly M Hatfield ◽  
James Baggs ◽  
Lisa Gail Winston ◽  
Erin Parker ◽  
Helen Johnston ◽  
...  
Keyword(s):  
Medicare Beneficiary ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Healthcare Facility ◽  
Median Number ◽  
Fee For Service ◽  
Emerging Infections ◽  
Odds Ratios ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection

Abstract Background Despite overall progress in preventing Clostridioides difficile Infection (CDI), community-associated (CA) infections have been steadily increasing. Although the incubation period of CDI is thought to be relatively short, gastrointestinal microbial disruption from remote healthcare exposures (e.g., inpatient antibiotic use) may be associated with CA-CDI. To assess this potential association, we linked CA-CDI infections identified through CDC’s Emerging Infections Program (EIP) to Medicare claims data to describe prior healthcare utilization. Methods We defined an EIP CA-CDI case as a positive C. difficile test collected in 2014–2015 from an outpatient or inpatient within 3 days of hospital admission, provided there was no positive test in the prior 8 weeks and no admission to a healthcare facility in the prior 12 weeks. We linked EIP CA-CDI cases aged ≥65 years to a Medicare beneficiary using unique combinations of birthdate, sex, and zip code. Cases were included if they maintained continuous fee-for-service coverage for 1 year prior to the event date. To calculate exposure odds ratios for previous hospitalizations, each case was matched to 5 control beneficiaries on age, sex, and county of residence. We used logistic regression to calculate adjusted matched odds ratios (amOR) that controlled for chronic conditions. Results We successfully linked 2,287/3,367 (68%) EIP CA-CDI cases. Of these, 1,236 cases met inclusion criteria; the median age was 77 years and 63% were female. We identified 69 (5.6%) cases with misclassification of prior healthcare exposures, most of whom (48, 70%) were hospitalized in the 12 weeks prior to their event. Among the 1,167 true CA-CDI cases, 33% were hospitalized in the prior 12 weeks to 1 year. The median number of weeks from prior hospitalization to CDI was 27 (IQR 18–38, Figure 1). Cases had a higher risk of hospitalization than matched controls in the prior 3–6 months (amOR: 2.33, 95% CI: 1.87, 2.90) and 6–12 months (amOR: 1.43 95% CI: 1.18, 1.74). Conclusion Remote hospitalization in the previous year was a significant risk factor for CA-CDI, especially in the 3–6 months prior to CA-CDI. Long-lasting prevention strategies implemented at hospital discharge and enhanced inpatient antibiotic stewardship may prevent CA-CDI among older adults. Disclosures All Authors: No reported Disclosures.

scholarly journals 752. Costs Attributable to Clostridioides difficile Infection in the Presence of Differential Mortality

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S473-S474
Author(s):  
John Sahrmann ◽  
Dustin Stwalley ◽  
Margaret A Olsen ◽  
Holly Yu ◽  
Erik R Dubberke
Keyword(s):  
Healthcare Facility ◽  
Differential Mortality ◽  
Fee For Service ◽  
Research Support ◽  
Cost Estimates ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection ◽  
Parametric Survival Model ◽  
Healthcare Associated ◽  
Community Onset

Abstract Background CDI imposes a major burden on the U.S. healthcare system. Obtaining accurate estimates of economic costs is critical to determining the cost-effectiveness of preventive measures. This task is complicated by differences in epidemiology, mortality, and baseline health status of infected and uninfected individuals, and by the statistical properties of costs data (e.g., right-skewed, excess of zeros costs). Methods Incident CDI cases were identified from Medicare 5% fee-for-service data between 2011 and 2017 and classified into standard surveillance definitions: hospital-onset (HO); other healthcare facility-onset (OHFO); community-onset, healthcare-associated (CO-HCFA); or community-associated (CA). Cases were frequency matched 1:4 to uninfected controls based on age, sex, and year of CDI. Controls were assigned to surveillance definitions based on location at index dates. Medicare allowed costs were summed in 30-day intervals up to 3 years following index. One- and 3-year cumulative costs attributable to CDI were computed using a 3-part estimator consisting of a parametric survival model and a pair of 2-part models predicting costs separately in intervals where death did and did not occur, adjusting for underlying acute and chronic conditions. Results 60,492 CDI cases (Figure 1) were matched to 241,968 controls. Three-year mortality was higher among CDI cases compared to matched controls for HO (45% vs 26%) and OHFO (42% vs 36%), whereas mortality was slightly lower for CDI cases compared to controls for those with community onset (CO-HCFA: 28% vs 32%; CA: 10% vs 11%). One- and 3-year attributable costs due to CDI are shown in Figure 2. Adjusted 1-year attributable costs amounted to &26,954 (95% CI: &26,154–&27,939) for HO; &10,539 (&9,564–&11,518) for OHFO; &6,525 (&5,012–&8,171) for CO-HCFA; and &3,171 (&1,841–&4,200) for CA. Adjusted 3-year attributable costs were &44,736 (&43,063–&46,483) for HO; &13,994 (&12,529–&15,975) for OHFO; &7,349 (&4,738–&10,246) for CO-HCFA; and &2,377 (&166–&4,722) for CA. Figure 1. Proportion of Cases by CDI Surveillance Definitions Abbreviations: HO: hospital-onset; OHFO: other healthcare facility-onset; CO-HCFA: community-onset, healthcare-associated; CA: community-associated. Figure 2. Estimates of Costs Attributable to CDI by CDI Surveillance Definitions at One and Three Years after Onset Top panels: One-year cost estimates. Bottom panels: Three-year cost estimates. Abbreviations: HO: hospital-onset; OHFO: other healthcare facility-onset; CO-HCFA:community-onset, healthcare-associated; CA:community-associated. Conclusion CDI was associated with increased healthcare costs across surveillance definitions in Medicare fee-for-service patients after adjusting for survival and underlying conditions. Disclosures Dustin Stwalley, MA, AbbVie Inc (Shareholder)Bristol-Myers Squibb (Shareholder) Margaret A. Olsen, PhD, MPH, Pfizer (Consultant, Research Grant or Support) Holly Yu, MSPH, Pfizer (Employee) Erik R. Dubberke, MD, MSPH, Ferring (Grant/Research Support)Merck (Consultant)Pfizer (Consultant, Grant/Research Support)Seres (Consultant)Summit (Consultant)

Trends in the incidence and outcomes of Clostridioides difficile infection in hematological cancers: A nationwide analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18244-e18244
Author(s):  
Fateeha Furqan ◽  
Raseen Tariq ◽  
Nicolas Goldstein ◽  
Sanjana Kashinath ◽  
Saad Jamshed ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Hematologic Malignancy ◽  
Care Facility ◽  
Healthcare Facility ◽  
National Hospital Discharge Survey ◽  
Clostridioides Difficile ◽  
Hematologic Cancer ◽  
Hematological Cancers ◽  
Clostridioides Difficile Infection ◽  
The Impact

e18244 Background: Clostridioides difficile infection (CDI) has higher incidence in cancer patients. To characterize the extent of CDI burden among hematologic cancer patients, we used the National Hospital Discharge Survey (NHDS) to report the incidence and outcomes of CDI. Methods: NHDS data from 2001-2010 were analyzed using diagnosis codes to identify patients with hematologic cancers and CDI. Demographics and discharge information were compared amongst hematologic cancer patients with and without CDI. Logistic regression models were runto estimate the impact of CDI on hematologic cancer patient outcomes, using STATA 12.0. Results: During the years 2001-2010, about 3.7 million patients (weighted data) were discharged with hematologic cancer. Among them, the incidence of CDI was 2.3%. Hematologic cancer patients with CDI were younger (mean age 66 vs 68 years), more likely to be men (66% vs 64.5%), to be of white race (68.1% vs 67.7%) and to have emergent admissions (73% vs 69%), all p values < 0.001. CDI incidence in these patients showed a steeper increase than non-cancer patients, with highest incidence in 2008-2009. Hematologic cancer patients with CDI had a longer mean Length of stay (16.9 vs 7.1 days; adjusted odds ratio (aOR) 9.5, 95% CI 9.4-9.6), all cause hospital mortality (11.3% vs 6.3%; aOR 1.92, 95% CI 1.88-1.97) and discharge to a care facility (28.4% vs 18.8%; aOR 2.06, 95% CI 2.02-2.10) compared to non-CDI cancer patients. Conclusions: CDI incidence is higher in patients with hematologic malignancy. They also have worse outcomes including overall mortality, longer hospitalizations and discharge to healthcare facility. These patients warrant closer screening and prompt treatment of CDI as they are at greater risk of unfavorable outcomes. [Table: see text]

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