Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: The rising incidence of urinary tract infections (UTIs) attributable to Escherichia coli resistant isolates is becoming a serious public health concern. Although global rates of infection vary considerably by region, the growing prevalence of this uropathogen has been associated with a high economic burden and health strain. This study aims: (1) to estimate the differences in clinical and economic outcomes between 2 groups of adult hospitalized patients with UTIs from E. coli resistant and susceptible bacteria and (2) to investigate drivers of this cost from a payer's perspective.
Methods: A prospective multicenter cohort study was conducted in 10 hospitals in Lebanon. The cost analysis followed a bottom-up microcosting approach; a linear regression was constructed to evaluate the predictors of hospitalization costs and a Cox proportional hazards model was used to estimate the impact of resistance on length of stay (LOS) and in-hospital mortality.
Results: Out of 467 inpatients, 250 cases were because of resistant E. coli isolates. Results showed that patients with resistant uropathogens had 29% higher mean total hospitalization costs ($3429 vs $2651; P = .004), and an extended median LOS (6 days vs 5 days; P = .020) compared with susceptible cohorts. The selection of resistant bacteria and the Charlson comorbidity index predicted higher total hospitalization costs and in-hospital mortality.
Conclusion: In an era of increased pressure for cost containment, this study showed the burden of treating UTIs resulting from resistant bacteria. The results can inform cost-effectiveness analyses that intend to evaluate the benefit of a national action plan aimed at decreasing the impact of antibiotic resistance.
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http://dx.doi.org/10.1016/j.vhri.2020.01.006 | DOI Listing |
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