Y P Tabak1, A H Sung2, G Ye1, L Vankeepuram1, V Gupta1, E McCann3. 1. Becton, Dickinson and Company, Franklin Lakes, NJ, USA. 2. Merck & Co., Inc., Kenilworth, NJ, USA. 3. Merck & Co., Inc., Kenilworth, NJ, USA. Electronic address: eilish.mccann@merck.com.
Abstract
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, 30-day 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 1.14-2.20; 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 1.1-3.9 additional days LOS (all P < 0.05), US$1512-10,403 additional total cost (all P < 0.001) and US$1582-11,848 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.
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, 30-day 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 1.14-2.20; 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 1.1-3.9 additional days LOS (all P < 0.05), US$1512-10,403 additional total cost (all P < 0.001) and US$1582-11,848 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.
Authors: Yukiko Ezure; Veronica Rico; David L Paterson; Lisa Hall; Patrick N A Harris; Alex Soriano; Jason A Roberts; Matteo Bassetti; Matthew J Roberts; Elda Righi; Hugh Wright Journal: Open Forum Infect Dis Date: 2020-10-10 Impact factor: 4.423
Authors: Manuel Madrazo; Ana Esparcia; Ian López-Cruz; Juan Alberola; Laura Piles; Alba Viana; José María Eiros; Arturo Artero Journal: BMC Infect Dis Date: 2021-12-07 Impact factor: 3.090