Poor adherence to antiretroviral therapies (ARTs) in human immunodeficiency virus (HIV)-infected patients increases the risk of incomplete viral suppression, development of viral resistance, progression to acquired immune deficiency syndrome and death. This study assesses the impact of specific treatment-related adverse events (AEs) on adherence to ART in the adult HIV patient population. A systematic review of studies involving adult HIV-infected patients aged ≥ 16 years that reported an odds ratio (OR) for factors affecting adherence to ART was conducted through a search of the EMBASE® and Medline® databases. Database searches were complemented with a search of titles in the bibliographies of review papers. Studies conducted in populations limited to a particular demographic characteristic or behavioural risk were excluded. To qualify for inclusion into a meta-analysis, treatment-related AEs had to be defined similarly across studies. Also, multiple ORs from the same study were included where study sub-groups were distinct. Random effects models were used to pool ORs. In total, 19 studies and 18 ART-related AEs were included in meta-analyses. Adherence to ART was significantly lower in patients with non-specific AEs than in patients who did not experience AEs [OR = 0.623; 95% confidence interval (CI): 0.465–0.834]. Patients with specific AEs such as fatigue (OR = 0.631; 95% CI: 0.433–0.918), confusion (OR = 0.349; 95% CI: 0.184–0.661), taste disturbances (OR = 0.485; 95% CI: 0.303–0.775) and nausea (OR = 0.574; 95% CI: 0.427–0.772) were significantly less likely to adhere to ART compared to patients without these AEs. Knowledge of specific treatment-related AEs may allow for targeted management of these events and a careful consideration of well-tolerated treatment regimens to improve ART adherence and clinical outcomes.
BackgroundInfections caused by Gram-negative pathogens resistant to carbapenems have limited treatment options and are associated with increased morbidity and mortality. We evaluated the rates, infection sources, and pathogen types associated with carbapenem-nonsusceptible (Carb-NS) Gram-negative isolates in intensive care unit (ICU) and non-ICU settings in a large US hospital database.MethodsWe conducted a retrospective cross-sectional analysis of carbapenem susceptibility of all nonduplicate isolates of Gram-negative pathogens collected from January 1, 2017, to December 31, 2017, at 358 US hospitals in the BD Insights Research Database. Carb-NS isolates included all pathogens reported at the institutional level as intermediate or resistant.ResultsOf 312 075 nonduplicate Gram-negative isolates, 10 698 (3.4%) were Carb-NS. Respiratory samples were the most frequent source of Carb-NS isolates (35.2%); skin/wound accounted for 23.6%. Pseudomonas aeruginosa was the most common Carb-NS pathogen (58.5% of isolates), and about 30% were Enterobacteriaceae. The highest rates of Carb-NS were found in Acinetobacter spp. (35.6%) and P. aeruginosa (14.6%). The rate of Carb-NS was significantly higher in ICU (5.4%) vs non-ICU settings (2.7%; P < .0001 in univariate analysis). This difference remained significant in multivariable analysis after adjusting for infection and hospital characteristics (odds ratio, 1.35; 95% confidence interval, 1.17–1.56; P < .0001).ConclusionsInfections caused by Carb-NS isolates pose a significant clinical problem across different sources of infection, species of pathogen, and hospital settings. Widespread infection prevention and antimicrobial stewardship initiatives, in combination with new treatment options, may be required to reduce the burden of carbapenem resistance in health care settings.
Background: Gram-negative complicated urinary tract infections (cUTIs) can have serious consequences for patients and hospitals. Aim: To examine the clinical and economic burden attributable to Gram-negative carbapenem-non-susceptible (C-NS; resistant/intermediate) infections compared with carbapenem-susceptible (C-S) infections in 78 US hospitals. Methods: All non-duplicate C-NS and C-S urine source isolates were analysed. A subset had principal diagnosis ICD-9-CM codes denoting cUTI. Collection time (<3 vs 3 days after admission) determined isolate classification as community or hospital onset. Mortality, 30day re-admissions, length of stay (LOS), hospital cost and net gain/loss in US dollars were determined for C-NS and C-S cases, with the C-NS-attributable burden estimated through propensity score matching. Three subgroups with adequate patient numbers were analysed: cUTI principal diagnosis, community onset; other principal diagnosis, community onset; and other principal diagnosis, hospital onset. Findings: The C-NS-attributable mortality risk was significantly higher (58%) for the other principal diagnosis, hospital-onset subgroup alone (odds ratio 1.58, 95% confidence interval 1.14e2.20; P < 0.01). The C-NS-attributable risk for 30-day re-admission ranged from 29% to 55% (all P < 0.05). The average attributable economic impact of C-NS was 1.1 e3.9 additional days LOS (all P < 0.05), US$1512e10,403 additional total cost (all P < 0.001) and US$1582e11,848 net loss (all P < 0.01); overall burden and C-NS-attributable burden were greatest in the other principal diagnosis, hospital-onset subgroup. Conclusion: Greater clinical and economic burden was observed in propensity-score-matched patients with C-NS infections compared with C-S infections, regardless of whether cUTI was the principal diagnosis, and this burden was most severe in hospital-onset infections.
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