2013
DOI: 10.1007/s11999-013-2949-z
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Has the Rate of In-hospital Infections After Total Joint Arthroplasty Decreased?

Abstract: Background Although infections are a major cause of morbidity and mortality after total joint arthroplasty (TJA), little is known about nationwide epidemiology and trends of infections after TJA. Questions/purposes We therefore determined (1) trends of postoperative pneumonia, urinary tract infection (UTI), surgical site infection (SSI), sepsis, and severe sepsis after TJA; (2) risk factors of these infections; (3) effect of these infections on length of stay (LOS) and hospital charges; and (4) the infection-r… Show more

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Cited by 37 publications
(20 citation statements)
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“…This is a particularly important consideration given the increase in the use of inpatient-only data collection programs to study the occurrence of adverse events [2,3,25,27,29]. An example of such a program is the Nationwide Inpatient Sample (NIS), which samples hospitals across the country and captures data regarding procedures and adverse events during the inpatient stay.…”
Section: Discussionmentioning
confidence: 99%
“…This is a particularly important consideration given the increase in the use of inpatient-only data collection programs to study the occurrence of adverse events [2,3,25,27,29]. An example of such a program is the Nationwide Inpatient Sample (NIS), which samples hospitals across the country and captures data regarding procedures and adverse events during the inpatient stay.…”
Section: Discussionmentioning
confidence: 99%
“…Baseline comorbidity status was assessed using the Elixhauser comorbidity algorithm, which contains 30 comorbidities [12,31,35]. Four conditions included in the Elixhauser algorithm (alcohol abuse, drug abuse, psychosis, and AIDS/HIV infection) were analyzed separately, because they have been previously associated with self-discharge [22,32], thus leaving 26 comorbidities for summation (Table 1).…”
Section: Methodsmentioning
confidence: 99%
“…Explanatory variables consisted of age (categorized into the age groups: \ 55, 55-74, and C 75 years), sex, comorbidity burden (quantified with the Elixhauser comorbidity score [11,34]), race/ethnicity (white, black, Hispanic, and other), insurance status (private insurance, public insurance, and no insurance), household income based on postal zip code analysis (USD 1 to USD 38,999, USD 39,000 to USD 62,999, and C USD 63,000), surgical procedure (THA, TKA, and spinal fusion), length of hospitalization, discharge disposition (home, home health care, rehabilitation/skilled nursing facility, hospital transfer, and other), hospital location (urban and rural), and hospital teaching status (nonteaching and teaching). Ratios of autologous to allogeneic blood use were calculated for all explanatory variables.…”
Section: Methodsmentioning
confidence: 99%