PROBLEM/CONDITION: Candidemia, a bloodstream infection caused by Candida spp., is a common cause of health care-associated bloodstream infections in the United States. Candidemia is associated with substantial health care costs, morbidity, and mortality. PERIOD COVERED: 2017-2021. DESCRIPTION OF SYSTEM: CDC's Emerging Infections Program (EIP), a collaboration among CDC, state health departments, and academic partners, was used to conduct active, population-based laboratory surveillance for candidemia at city or county sites located in 10 states (California, Colorado, Connecticut, Georgia, Maryland, Minnesota, New Mexico, New York, Oregon, and Tennessee), representing a combined population of approximately 21.5 million persons, or 7% of the U.S. population in 2019. Connecticut began reporting cases on January 1, 2019, and conducts statewide surveillance. Although candidemia is not a nationally notifiable condition, cases of Candida auris infection are nationally notifiable, and cases of candidemia caused by C. auris could be included in both national case counts and EIP surveillance. A culture-confirmed candidemia case is defined as a positive blood culture for any Candida sp. from a resident in the surveillance catchment area. Subsequent positive blood cultures for Candida within 30 days of the initial positive culture (index date) in the same patient are considered part of the same case. Clinical laboratories serving each catchment area report candidemia cases, and trained surveillance officers abstract information from medical charts for all cases. Corresponding isolates are sent to CDC for species confirmation and antifungal susceptibility testing. RESULTS: A total of 7,381 candidemia cases were identified during the surveillance period (2017-2021). The overall incidence was 7.4 cases per 100,000 population. Across age groups, sexes, racial and ethnic groups, and surveillance sites, incidence was generally stable or increased slightly from 2017 to 2021, with the lowest overall incidence in 2019 (6.8) and the highest in 2021 (7.9). In 2021, candidemia incidence was highest in patients aged ≥65 years (22.7) and infants (aged <1 year) (8.0). Incidence was higher in males (8.7) compared with females (7.0) and higher in non-Hispanic Black or African American (Black) patients (12.8) compared with non-Black patients (5.6). Incidence was highest in Maryland (14.5), followed by Tennessee (10.1) and Georgia (10.0); incidence was lowest in Oregon (4.8). Increases occurred in the percentage of cases classified as health care onset (52.2% in 2017 to 58.0% in 2021). Overall, among 7,381 cases (in 6,235 patients), 63.7% occurred in patients who had a central venous catheter, 80.7% involved recent systemic antibiotic receipt, and 9.0% occurred in patients who had a history of injection drug use. The percentage of cases with a positive SARS-CoV-2 test during the 90 days before or after the index date increased from 10.4% in 2020 to 17.7% in 2021. From 2017 to 2021, the percentage of cases involving an intensive care unit stay before the index date increased from 38.3% to 44.9%. Echinocandins (e.g., micafungin) were used as treatment in 49.8% of cases, and azoles were used in 47.7%. The all-cause in-hospital mortality rate was 32.6%; this increased from 26.8% in 2019 to 36.1% in 2021. Overall, Candida albicans accounted for 37.1% of cases, followed by Candida glabrata (30.4%) and Candida parapsilosis (13.5%); however, C. glabrata was the most frequent species in California (38.4%) and Maryland (32.9%). Candida auris infections accounted for 0.4% of cases. Among 6,576 Candida isolates for which interpretive breakpoints exist and isolates were available for testing, 5.6% were fluconazole resistant, and <1% were echinocandin resistant. Antifungal resistance was stable for all antifungals tested across years. INTERPRETATION: Candidemia remains an important health care-associated infection. The disproportionate incidence among older adults, males, and Black patients is consistent with previous reports, and the overall incidence of candidemia has not changed substantially compared with previous EIP findings based on data collected during 2012-2016 (8.7 per 100,000 population). The higher mortality rate associated with candidemia during 2020-2021 likely reflects consequences of the COVID-19 pandemic, including strained health care systems and an increased population of patients who were susceptible to candidemia because of COVID-19-related critical illness. PUBLIC HEALTH ACTION: Strict implementation of measures to prevent health care-associated bloodstream infections is important to help prevent candidemia cases. Health care officials and providers should be vigilant for candidemia as a complication of critical illness. Continued surveillance is needed to monitor for emerging populations at risk for candidemia and changes in antifungal resistance patterns, which can help guide antifungal treatment selection.

Invasive candidiasis (IC) is an increasingly prevalent, costly, and potentially fatal infection brought on by the opportunistic yeast, Candida. Previously, IC has predominantly been caused by C. albicans which is often drug susceptible. There has been a global trend towards decreasing rates of infection secondary to C. albicans and a rise in non-albicans species with a corresponding increase in drug resistance creating treatment challenges. With advances in management of malignancies, there has also been an increase in the population at risk from IC along with a corresponding increase in incidence of breakthrough IC infections. Additionally, the emergence of C. auris creates many challenges in management and prevention due to drug resistance and the organism's ability to transmit rapidly in the healthcare setting. While the development of novel antifungals is encouraging for future management, understanding the changing epidemiology of IC is a vital step in future management and prevention.

BACKGROUND: Reports of fluconazole-resistant Candida parapsilosis bloodstream infections are increasing. We describe a cluster of fluconazole-resistant C parapsilosis bloodstream infections identified in 2021 on routine surveillance by the Georgia Emerging Infections Program in conjunction with the Centers for Disease Control and Prevention. METHODS: Whole-genome sequencing was used to analyze C parapsilosis bloodstream infections isolates. Epidemiological data were obtained from medical records. A social network analysis was conducted using Georgia Hospital Discharge Data. RESULTS: Twenty fluconazole-resistant isolates were identified in 2021, representing the largest proportion (34%) of fluconazole-resistant C parapsilosis bloodstream infections identified in Georgia since surveillance began in 2008. All resistant isolates were closely genetically related and contained the Y132F mutation in the ERG11 gene. Patients with fluconazole-resistant isolates were more likely to have resided at long-term acute care hospitals compared with patients with susceptible isolates (P = .01). There was a trend toward increased mechanical ventilation and prior azole use in patients with fluconazole-resistant isolates. Social network analysis revealed that patients with fluconazole-resistant isolates interfaced with a distinct set of healthcare facilities centered around 2 long-term acute care hospitals compared with patients with susceptible isolates. CONCLUSIONS: Whole-genome sequencing results showing that fluconazole-resistant C parapsilosis isolates from Georgia surveillance demonstrated low genetic diversity compared with susceptible isolates and their association with a facility network centered around 2 long-term acute care hospitals suggests clonal spread of fluconazole-resistant C parapsilosis. Further studies are needed to better understand the sudden emergence and transmission of fluconazole-resistant C parapsilosis.

Candida glabrata is one of the most common causes of systemic candidiasis, often resistant to antifungal medications. To describe the genomic context of emerging resistance, we conducted a retrospective analysis of 82 serially collected isolates from 33 patients from population-based candidemia surveillance in the United States. We used whole-genome sequencing to determine the genetic relationships between isolates obtained from the same patient. Phylogenetic analysis demonstrated that isolates from 29 patients were clustered by patient. The median SNPs between isolates from the same patient was 30 (range: 7-96 SNPs), while unrelated strains infected four patients. Twenty-one isolates were resistant to echinocandins, and 24 were resistant to fluconazole. All echinocandin-resistant isolates carried a mutation either in the FKS1 or FKS2 HS1 region. Of the 24 fluconazole-resistant isolates, 17 (71%) had non-synonymous polymorphisms in the PDR1 gene, which were absent in susceptible isolates. In 11 patients, a genetically related resistant isolate was collected after recovering susceptible isolates, indicating in vivo acquisition of resistance. These findings allowed us to estimate the intra-host diversity of C. glabrata and propose an upper boundary of 96 SNPs for defining genetically related isolates, which can be used to assess donor-to-host transmission, nosocomial transmission, or acquired resistance.IMPORTANCEIn our study, mutations associated to azole resistance and echinocandin resistance were detected in Candida glabrata isolates using a whole-genome sequence. C. glabrata is the second most common cause of candidemia in the United States, which rapidly acquires resistance to antifungals, in vitro and in vivo.

BACKGROUND: Candidemia is a common healthcare-associated infection with high mortality. Estimates of recurrence range from 1% to 17%. Few studies have focused on those with recurrent candidemia, who often experience more severe illness and greater treatment failure. We describe recurrent candidemia trends and risk factors. METHODS: We analyzed population-based candidemia surveillance data collected during 2011-2018. Persons with >1 episode (defined as the 30-day period after a positive Candida species) were classified as having recurrent candidemia. We compared factors during the initial episode between those who developed recurrent candidemia and those who did not. RESULTS: Of the 5428 persons identified with candidemia, 326 (6%) had recurrent infection. Recurrent episodes occurred 1.0 month to 7.6 years after any previous episode. In multivariable logistic regression controlling for surveillance site and year, recurrent candidemia was associated with being 19-44 years old (vs ≥65 years; adjusted odds ratio [aOR], 3.05 [95% confidence interval {CI}, 2.10-4.44]), being discharged to a private residence (vs medical facility; aOR, 1.53 [95% CI, 1.12-2.08]), hospitalization in the 90 days prior to initial episode (aOR, 1.66 [95% CI, 1.27-2.18]), receipt of total parenteral nutrition (aOR, 2.08 [95% CI, 1.58-2.73]), and hepatitis C infection (aOR, 1.65 [95% CI, 1.12-2.43]). CONCLUSIONS: Candidemia recurrence >30 days after initial infection occurred in >1 in 20 persons with candidemia. Associations with younger age and hepatitis C suggest injection drug use may play a modifiable role. Prevention efforts targeting central line care and total parenteral nutrition use may help reduce the risk of recurrent candidemia.

We evaluated healthcare facility use of International Classification of Diseases, Tenth Revision (ICD-10) codes for culture-confirmed candidemia cases detected by active public health surveillance during 2019-2020. Most cases (56%) did not receive a candidiasis code, suggesting that studies relying on ICD-10 codes likely underestimate disease burden.

Protective psychosocial factors may reduce the risk of stress-related illnesses in policing. We assessed the association between protective factors and depressive symptoms among 242 police officers. Participants were from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) Study (2004–2014). Coping, hardiness, personality traits, and social support were assessed at baseline. Depressive symptoms were measured at baseline and follow-up using the Center for Epidemiologic Studies-Depression (CES-D) scale. The relationship between protective factors and the rate of change in depressive symptoms was assessed using linear regression. Logistic regression evaluated associations between protective factors and new-onset depression. Of participants free of depression at baseline, 23 (10.7%) developed probable depression during the follow-up. Odds of new-onset depression increased with increasing neuroticism (adjusted odds ratio [OR ADJ ] = 1.22, 95% confidence interval [CI], 1.11–1.35) and passive coping (OR ADJ = 2.07, 95% CI, 1.06–4.03). Increasing agreeableness (OR ADJ = 0.87, 95% CI, 0.78–0.96) and conscientiousness (OR ADJ = 0.90, 95% CI, 0.84–0.98) were associated with decreased odds of new-onset depression. New-onset depression was not significantly associated with other coping subscales, hardiness, or social support. There were no significant associations between protective factors and change in depressive symptom scores. This study suggests certain personality characteristics and passive coping may be associated with increased odds of new-onset depression in police officers.