2019
DOI: 10.1089/ham.2019.0062
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Association of Hospital Altitude and Postoperative Infectious Complications After Major Operations

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Cited by 3 publications
(13 citation statements)
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References 9 publications
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“…The current study demonstrated a significantly increased incidence of SSIs (1.16% vs 0.86%; OR, 1.34; 95% CI, 1.17-1.53; P <0.0001) and PJIs (0.91% vs 0.58%; OR, 1.56; 95% CI, 1.34-1.81; P <0.0001) at high altitude. A recent study by Aasen et al 1) focused on the association of hospital altitude and postoperative infectious complications after major operations. This study included various types of procedures including urological, vascular, plastic-reconstructive, and orthopedic and compared the rates of SSIs and urinary tract infections (UTIs) at varying levels of altitudes 1) .…”
Section: Discussionmentioning
confidence: 99%
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“…The current study demonstrated a significantly increased incidence of SSIs (1.16% vs 0.86%; OR, 1.34; 95% CI, 1.17-1.53; P <0.0001) and PJIs (0.91% vs 0.58%; OR, 1.56; 95% CI, 1.34-1.81; P <0.0001) at high altitude. A recent study by Aasen et al 1) focused on the association of hospital altitude and postoperative infectious complications after major operations. This study included various types of procedures including urological, vascular, plastic-reconstructive, and orthopedic and compared the rates of SSIs and urinary tract infections (UTIs) at varying levels of altitudes 1) .…”
Section: Discussionmentioning
confidence: 99%
“…A recent study by Aasen et al 1) focused on the association of hospital altitude and postoperative infectious complications after major operations. This study included various types of procedures including urological, vascular, plastic-reconstructive, and orthopedic and compared the rates of SSIs and urinary tract infections (UTIs) at varying levels of altitudes 1) . Their results, when stratifying by 1,000-ft increments, showed no statistically significant difference in SSI or UTIs and even demonstrated decreased pneumonia incidence at higher altitudes 1) .…”
Section: Discussionmentioning
confidence: 99%
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“…Thus, analyses using techniques such as clustering by the institution or provider to account for unmeasured confounding are not possible within the NSQIP PUF data unless specific arrangements are made with the ACS NSQIP governing body whereby they conduct site-identified data analysis and provide extramural researchers with deidentified results. 11 However, individual institution's data from before submission to the ACS do include patient identifiers, and the ACS has provided a mechanism for central data analysis in some specific instances. Further, to decrease the possibility of patient identification, the data set does not include information on the date or time of the case beyond the year of the dataset, making time-sensitive analyses more granular than annual not possible.…”
Section: Limitationsmentioning
confidence: 99%