کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5566407 1563442 2017 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Heat map for data visualization in infection control epidemiology: An application describing the relationship between hospital-acquired infections, Simplified Acute Physiological Score II, and length of stay in adult intensive care units
ترجمه فارسی عنوان
نقشه گرما برای تجسم داده ها در اپیدمیولوژی کنترل عفونت: یک برنامه کاربردی توصیف رابطه بین عفونت های بیمارستانی، نمره فیزیولوژیک حاد فیزیکی ساده و طول مدت اقامت در واحد مراقبت های ویژه بزرگسالان
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروب شناسی
چکیده انگلیسی

BackgroundHospital-acquired infections (HAIs) in intensive care units (ICUs) are associated with increased length of stay (LOS). The objective of this study was to graphically describe by heat mapping LOS of patients hospitalized in ICUs related to the occurrence of HAI and severity at admission measured by the Simplified Acute Physiological Score II (SAPSII).MethodsAdult patients hospitalized in ICUs of Lyon University Hospitals (France) were included in an active standardized surveillance study of HAI from January 1, 1995-December 31, 2012. Surveillance included adult patients aged ≥18 years hospitalized ≥2 days. Patient follow-up ended at ICU discharge or death. LOS was calculated in days from differences between dates of entry and discharge from ICUs. HAIs recorded were pneumonia, bacteremia, and urinary tract infection. The heat map was designed with a spreadsheet software.ResultsA total of 34,694 patients were analyzed. Among infected patients, 72.3% had 1 infected site (IS), 23% had 2 ISs, and 4.7% had 3 ISs. Median LOS was 24 days in infected patients (20.4 days among patients with 1 IS, 34.2 days among patients with 2 ISs, and 45.3 days among patients with 3 ISs) and 5 days in noninfected patients (P < .001). Two groups of multi-infected patients with long LOSs were identified with the heat map.ConclusionsThe heat map facilitated easy-to-implement semi-quantitative visualization of increasing LOS through the SAPSIIs and number of ISs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: American Journal of Infection Control - Volume 45, Issue 7, 1 July 2017, Pages 746-749
نویسندگان
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