ABSTRACT
Prosthetic joint infections (PJIs) following total joint arthroplasty are a significant and costly complication. To address fragmented care typically seen with separate management, we established a combined infectious disease and orthopaedic surgery clinic at Duke Health in July 2020. This clinic focuses on patients experiencing acute deterioration or multiple PJI episodes, often at the stage where amputation is the only option offered. From July 2021 to March 2024, the clinic completed 974 visits with 319 unique patients. The clinic maintained a low no-show rate of 5.0%. Treatment plans included procedures such as debridement, antibiotics and implant retention (38%), as well as implant explantation and one-stage exchange (32% each), with amputation required in only 4% of cases. The integrated clinic model facilitated real-time, multidisciplinary care, improving patient outcomes and operational efficiency. This approach offers a promising model for managing complex infections.
Subject(s)
Prosthesis-Related Infections , Humans , Prosthesis-Related Infections/therapy , Female , Male , Aged , Middle Aged , Debridement/methods , Debridement/statistics & numerical data , Anti-Bacterial Agents/therapeutic use , Orthopedic Procedures/adverse effects , Orthopedic Procedures/methods , Orthopedic Procedures/statistics & numerical data , Communicable Diseases/therapyABSTRACT
OBJECTIVE: To evaluate the comparative epidemiology of hospital-onset bloodstream infection (HOBSI) and central line-associated bloodstream infection (CLABSI). DESIGN AND SETTING: Retrospective observational study of HOBSI and CLABSI across a three-hospital healthcare system from 01/01/2017 to 12/31/2021. METHODS: HOBSIs were identified as any non-commensal positive blood culture event on or after hospital day 3. CLABSIs were identified based on National Healthcare Safety Network (NHSN) criteria. We performed a time-series analysis to assess comparative temporal trends among HOBSI and CLABSI incidence. Using univariable and multivariable regression analyses, we compared demographics, risk factors, and outcomes between non-CLABSI HOBSI and CLABSI, as HOBSI and CLABSI are not exclusive entities. RESULTS: HOBSI incidence increased over the study period (IRR 1.006 HOBSI/1,000 patient days; 95% CI 1.001-1.012; P = .03), while no change in CLABSI incidence was observed (IRR .997 CLABSIs/1,000 central line days, 95% CI .992-1.002, P = .22). Differing demographic, microbiologic, and risk factor profiles were observed between CLABSIs and non-CLABSI HOBSIs. Multivariable analysis found lower odds of mortality among patients with CLABSIs when adjusted for covariates that approximate severity of illness (OR .27; 95% CI .11-.64; P < .01). CONCLUSIONS: HOBSI incidence increased over the study period without a concurrent increase in CLABSI in our study population. Furthermore, risk factor and outcome profiles varied between CLABSI and non-CLABSI HOBSI, which suggest that these metrics differ in important ways worth considering if HOBSI is adopted as a quality metric.
ABSTRACT
BACKGROUND: The origins and timing of inpatient room sink contamination with carbapenem-resistant organisms (CROs) are poorly understood. METHODS: We performed a prospective observational study to describe the timing, rate, and frequency of CRO contamination of in-room handwashing sinks in 2 intensive care units (ICU) in a newly constructed hospital bed tower. Study units, A and B, were opened to patient care in succession. The patients in unit A were moved to a new unit in the same bed tower, unit B. Each unit was similarly designed with 26 rooms and in-room sinks. Microbiological samples were taken every 4 weeks from 3 locations from each study sink: the top of the bowl, the drain cover, and the p-trap. The primary outcome was sink conversion events (SCEs), defined as CRO contamination of a sink in which CRO had not previously been detected. RESULTS: Sink samples were obtained 22 times from September 2020 to June 2022, giving 1,638 total environmental cultures. In total, 2,814 patients were admitted to study units while sink sampling occurred. We observed 35 SCEs (73%) overall; 9 sinks (41%) in unit A became contaminated with CRO by month 10, and all 26 sinks became contaminated in unit B by month 7. Overall, 299 CRO isolates were recovered; the most common species were Enterobacter cloacae and Pseudomonas aeruginosa. CONCLUSION: CRO contamination of sinks in 2 newly constructed ICUs was rapid and cumulative. Our findings support in-room sinks as reservoirs of CRO and emphasize the need for prevention strategies to mitigate contamination of hands and surfaces from CRO-colonized sinks.
Subject(s)
Carbapenems , Cross Infection , Humans , Carbapenems/pharmacology , Cross Infection/prevention & control , Cross Infection/microbiology , Infection Control , Intensive Care Units , HospitalsABSTRACT
OBJECTIVE: We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention. DESIGN: Prospective cohort design. SETTING: Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery. PATIENTS: Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event. METHODS: We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback. RESULTS: The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32-0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39-0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods. CONCLUSIONS: We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.
Subject(s)
Anti-Bacterial Agents , Intensive Care Units , Humans , Adolescent , Adult , Prospective Studies , Hospitalization , Length of StayABSTRACT
OBJECTIVE: To analyze Clostridioides difficile testing in 3 hospitals in central North Carolina to validate previous racial health-disparity findings. METHODS: We completed a retrospective analysis of inpatient C. difficile tests from 2015 to 2021 at 3 university-affiliated hospitals in North Carolina. We calculated the number of C. difficile tests per 1,000 patient days stratified by race: White, Black, and non-White, non-Black (NWNB). We defined a unique C. difficile test as one that occurred in an inpatient unit with a matching laboratory accession ID and on differing calendar days. Tests were evaluated overall, by hospital, by year, and by positivity rate. RESULTS: In total, 35,160 C. difficile tests and 2,571,850 patient days across all 3 hospitals from 2015 to 2021 were analyzed. The median number of C. difficile tests per 1,000 patient days was 13.85 (interquartile range [IQR], 9.88-16.07). Among all C. difficile tests, 5,225 (15%) were positive. White patients were administered more C. difficile tests (14.46 per 1,000 patient days) than Black patients (12.96; P < .0001) or NWNB race patients (10.27; P < .0001). Black patients were administered more tests than NWNB patients (P < .0001). White patients tested positive at a similar rate to Black patients (15% vs 15%; P = .3655) and higher than NWNB individuals (12%; P = .0061), and Black patients tested positive at a higher rate than NWNB patients (P = .0024). CONCLUSION: White patients received more C. difficile tests than Black and NWNB patient groups when controlling for race patient days. Future studies should control for comorbidities and investigate community onset of C. difficile by race and ethnicity.
Subject(s)
Clostridioides difficile , Humans , Retrospective Studies , Hospitals , Comorbidity , WhiteABSTRACT
OBJECTIVE: To provide comprehensive population-level estimates of the burden of healthcare-associated influenza. DESIGN: Retrospective cross-sectional study. SETTING: US Influenza Hospitalization Surveillance Network (FluSurv-NET) during 2012-2013 through 2018-2019 influenza seasons. PATIENTS: Laboratory-confirmed influenza-related hospitalizations in an 8-county catchment area in Tennessee. METHODS: The incidence of healthcare-associated influenza was determined using the traditional definition (ie, positive influenza test after hospital day 3) in addition to often underrecognized cases associated with recent post-acute care facility admission or a recent acute care hospitalization for a noninfluenza illness in the preceding 7 days. RESULTS: Among the 5,904 laboratory-confirmed influenza-related hospitalizations, 147 (2.5%) had traditionally defined healthcare-associated influenza. When we included patients with a positive influenza test obtained in the first 3 days of hospitalization and who were either transferred to the hospital directly from a post-acute care facility or who were recently discharged from an acute care facility for a noninfluenza illness in the preceding 7 days, we identified an additional 1,031 cases (17.5% of all influenza-related hospitalizations). CONCLUSIONS: Including influenza cases associated with preadmission healthcare exposures with traditionally defined cases resulted in an 8-fold higher incidence of healthcare-associated influenza. These results emphasize the importance of capturing other healthcare exposures that may serve as the initial site of viral transmission to provide more comprehensive estimates of the burden of healthcare-associated influenza and to inform improved infection prevention strategies.
Subject(s)
Influenza, Human , Humans , Influenza, Human/diagnosis , Influenza, Human/epidemiology , Influenza, Human/complications , Cross-Sectional Studies , Retrospective Studies , Hospitalization , Population SurveillanceABSTRACT
This retrospective review of 4-year surveillance data revealed a higher central line-associated bloodstream infection (CLABSI) rate in non-Hispanic Black patients and higher catheter-associated urinary tract infection (CAUTI) rates in Asian and non-Hispanic Black patients compared with White patients despite similar catheter utilization between the groups.
Subject(s)
Catheter-Related Infections , Cross Infection , Sepsis , Urinary Tract Infections , Humans , Cross Infection/epidemiology , Catheter-Related Infections/epidemiology , Urinary Tract Infections/epidemiology , Catheters , Sepsis/epidemiology , Intensive Care UnitsABSTRACT
Background and objective: Veterans' Affairs (VA) healthcare providers perceive that Veterans expect and base visit satisfaction on receiving antibiotics for upper respiratory tract infections (URIs). No studies have tested this hypothesis. We sought to determine whether receiving and/or expecting antibiotics were associated with Veteran satisfaction with URI visits. Methods: This cross-sectional study included Veterans evaluated for URI January 2018-December 2019 in an 18-clinic ambulatory VA primary-care system. We evaluated Veteran satisfaction via the Patient Satisfaction Questionnaire Short Form (RAND Corporation), an 18-item 5-point Likert scale survey. Additional items assessed Veteran antibiotic expectations. Antibiotic receipt was determined via medical record review. We used multivariable regression to evaluate whether antibiotic receipt and/or Veteran antibiotic expectations were associated with satisfaction. Subgroup analyses focused on Veterans who accurately remembered antibiotic prescribing during their URI visit. Results: Of 1,329 eligible Veterans, 432 (33%) participated. Antibiotic receipt was not associated with differences in mean total satisfaction (adjusted score difference, 0.6 points; 95% confidence interval [CI], -2.1 to 3.3). However, mean total satisfaction was lower for Veterans expecting an antibiotic (adjusted score difference -4.4 points; 95% CI -7.2 to -1.6). Among Veterans who accurately remembered the visit and did not receive an antibiotic, those who expected an antibiotic had lower mean satisfaction scores than those who did not (unadjusted score difference, -16.6 points; 95% CI, -24.6 to -8.6). Conclusions: Veteran expectations for antibiotics, not antibiotic receipt, are associated with changes in satisfaction with outpatient URI visits. Future research should further explore patient expectations and development of patient-centered and provider-focused interventions to change patient antibiotic expectations.
ABSTRACT
In a low-income cohort in the Southeastern United States, 5% of participants avoided emergency medical care during the coronavirus disease 2019 pandemic, primarily due to fear and visitor restrictions. Younger age, self-perceived lower health status, lack of a personal doctor, and decreased income were associated with greater likelihood of deferring emergency care.
ABSTRACT
BACKGROUND: Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences. DESIGN AND METHODS: To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact survey between 10/7-12/14/2020 among participants of the Southern Community Cohort Study, which primarily enrolled low-income individuals in 12 southeastern states from 2002-2009. COVID survey data were combined with baseline and follow-up data. RESULTS: Among 4,463 respondents, 40% reported having missed/delayed a health appointment during the pandemic; the common reason was provider-initiated cancellation or delay (63%). In a multivariable model, female sex was the strongest independent predictor of interrupted care, with odds ratio (OR) 1.63 (95% confidence interval [CI] 1.40-1.89). Those with higher education (OR 1.27; 95% CI 1.05-1.54 for college graduate vs ≤high school) and household income (OR 1.47; 95% CI 1.16-1.86 for >$50,000 vs <$15,000) were at significantly increased odds of missing healthcare. Having greater perceived risk for acquiring (OR 1.42; 95% CI 1.17-1.72) or dying from COVID-19 (OR 1.25; 95% CI 1.04-1.51) also significantly increased odds of missed/delayed healthcare. Age was inversely associated with missed healthcare among men (OR for 5-year increase in age 0.88; 95% CI 0.80-0.96) but not women (OR 0.97; 95% CI 0.91-1.04; p-interaction=0.04). Neither race/ethnicity nor comorbidities were associated with interrupted healthcare. CONCLUSIONS: Disruptions to healthcare disproportionately affected women and were primarily driven by health system-initiated deferrals and individual perceptions of COVID-19 risk, rather than medical co-morbidities or other traditional barriers to healthcare access.