Changes in Prevalence of Health Care-Associated Infections in U.S. Hospitals.

BACKGROUND: A point-prevalence survey that was conducted in the United States in 2011 showed that 4% of hospitalized patients had a health care-associated infection. We repeated the survey in 2015 to assess changes in the prevalence of health care-associated infections during a period of national attention to the prevention of such infections. METHODS: At Emerging Infections Program sites in 10 states, we recruited up to 25 hospitals in each site area, prioritizing hospitals that had participated in the 2011 survey. Each hospital selected 1 day on which a random sample of patients was identified for assessment. Trained staff reviewed medical records using the 2011 definitions of health care-associated infections. We compared the percentages of patients with health care-associated infections and performed multivariable log-binomial regression modeling to evaluate the association of survey year with the risk of health care-associated infections. RESULTS: In 2015, a total of 12,299 patients in 199 hospitals were surveyed, as compared with 11,282 patients in 183 hospitals in 2011. Fewer patients had health care-associated infections in 2015 (394 patients [3.2%; 95% confidence interval {CI}, 2.9 to 3.5]) than in 2011 (452 [4.0%; 95% CI, 3.7 to 4.4]) (P<0.001), largely owing to reductions in the prevalence of surgical-site and urinary tract infections. Pneumonia, gastrointestinal infections (most of which were due to Clostridium difficile [now Clostridioides difficile]), and surgical-site infections were the most common health care-associated infections. Patients' risk of having a health care-associated infection was 16% lower in 2015 than in 2011 (risk ratio, 0.84; 95% CI, 0.74 to 0.95; P=0.005), after adjustment for age, presence of devices, days from admission to survey, and status of being in a large hospital. CONCLUSIONS: The prevalence of health care-associated infections was lower in 2015 than in 2011. To continue to make progress in the prevention of such infections, prevention strategies against C. difficile infection and pneumonia should be augmented. (Funded by the Centers for Disease Control and Prevention.).

Accurate monitoring of the HIV epidemic in the United States: case duplication in the national HIV/AIDS surveillance system.

OBJECTIVE: To assess the degree of duplicate reporting in the US HIV/AIDS surveillance system as compared with a performance standard of <5%, and to assess the effect of duplicate removal on epidemiologic trends. METHODS: Multistate evaluation of HIV/AIDS case surveillance. Potential duplicate HIV or AIDS case reports in the national surveillance system matched on Soundex, birth date, and sex were assessed for duplication by state and territorial health departments. RESULTS: Of the 990,175 cases of HIV infection and AIDS in the surveillance system on December 31, 2001, 44,945 (4.5%) were identified as duplicate reports. The duplication rate was higher for HIV cases (8.2%) than for AIDS cases (3.8%). The median of 322 duplicate AIDS reports per area (range: 1 to 3947) represented a median of 5% of all AIDS reports per area (range: 1% to 11%). The median of 369 duplicate HIV reports per area (range: 1 to 1247) represented a median of 11% of all HIV reports per area (range: 1% to 30%). DISCUSSION: The overall duplication rate was within acceptable limits in the national HIV/AIDS surveillance system but did not meet the standard for HIV cases. Ongoing centrally coordinated efforts are necessary to minimize duplicate reporting in the future.

Window-period human immunodeficiency virus transmission to two recipients by an adolescent blood donor.

BACKGROUND: Pooled NAT and donor screening have reduced the diagnostic window period for HIV in the blood donor population to approximately 10 to 15 days. This report describes two cases of transfusion-acquired HIV infection and verification of transmission from the donor to the recipients, and attempts to identify how the 18-year-old donor acquired her infection. STUDY DESIGN AND METHODS: After a repeat donor had a positive HIV test result, two recipients of the donor's previous donation were identified and tested. The donor and recipients were interviewed and blood samples were obtained for HIV DNA sequencing and phylogenetic analysis. RESULTS: The two recipients had positive HIV test results. Phylogenetic analysis showed a high genetic similarity among the viruses (bootstrap 100%), consistent with transmission from the donor to the recipients. Four of five men with whom the donor had sexual contact during the critical time period when infection most likely occurred were located and tested; results were negative for HIV. CONCLUSIONS: Pooled NAT of blood donations has not eliminated the window period for HIV identification during seroconversion.

Rates and risk factors for condition-specific hospitalizations in HIV-infected and uninfected women.

BACKGROUND: The rates and risk factors for overall and medical condition-specific hospitalizations in HIV-positive women have not been examined in detail or compared with rates in risk factor-matched HIV-negative women. OBJECTIVE: To determine the rates and risk factors for overall and condition-specific hospitalizations. METHODS: Prospective cohort study of 885 HIV-positive women and 425 HIV-negative women followed for semiannual research visits between 1993 and 2000 in 4 urban locations in the United States. Outcome measures were hospitalization diagnoses with diabetes mellitus, nonacute renal conditions, cardiovascular conditions, liver conditions, AIDS defining conditions, and overall hospitalizations. Clinical and laboratory risk factors were assessed at research visits every 6 months, and effects of risk factors on hospitalization rates were calculated using generalized estimating equations and Poisson regression. RESULTS: Renal laboratory abnormalities, hypertension, and clinical AIDS were each associated with 3 of the 5 condition-specific hospitalization rates. Over time, diabetes-, nonacute renal-, and cardiovascular-related rates were flat or slightly increased and liver-related rates were significantly increased in HIV-positive women. Hospitalization rates with an AIDS-defining condition declined sharply in the latter half of the study period. CONCLUSIONS: In this population of largely African-American, inner-city, HIV-infected women, renal abnormalities, hypertension, and hepatitis C virus infection were common. Rate ratios indicated that "non-AIDS" risk factors were important predictors of hospitalization. In the highly active antiretroviral therapy era, clinicians must pay attention to these risk factors for morbidity and should closely monitor renal abnormalities, hypertension, and hepatitis status.

Mortality rates and causes of death in a cohort of HIV-infected and uninfected women, 1993-1999.

HIV/AIDS-associated and non-HIV/AIDS-associated death rates and causes of death between 1993 and 1999 were examined in 885 HIV-infected women and 425 uninfected women of the HIV Epidemiology Research Study cohort. Causes of death were determined by review of death certificates and the National Death Index. Adjusted hazard ratios were calculated for mortality risk factors. In the 885 HIV-infected women and 425 uninfected women, 234 deaths and 8 deaths, respectively, occurred by December 31, 1999. All-cause death rates in the HIV-infected women were unchanged between the pre-HAART (1993-1996) and HAART eras (1997-1999)-5.1 versus 5.4 deaths per 100 person-years (py). AIDS as a cause of death decreased from 58% of all deaths in 1996 to 19% in 1999, while HAART use increased to 42% by the end of 1999. In spite of the modest proportion ever using HAART, HIV-related mortality rates did decline, particularly in women with CD4+ cell counts less than 200/mm(3). Drug-related factors were prominent: for the 129 non-AIDS-defining deaths, hepatitis C positivity (relative hazard [RH] 2.6, P <.001) and injection drug use (RH 1.7, P = 0.02) were strong predictors of mortality, but were not significant in the Cox model for 105 AIDS-defining deaths (RH 0.9, P >.30 and RH 0.7, P >.30, respectively. The regression analysis findings, along with the high percentage of non-AIDS deaths attributable to illicit drug use, suggest that high levels of drug use in this population offset improvements in mortality from declining numbers of deaths due to AIDS.