FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3115088891> ?p ?o ?g. }

• W3115088891 endingPage "204209862098064" @default.
• W3115088891 startingPage "204209862098064" @default.
• W3115088891 abstract "Drug-drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academic versus non-academic (therapeutic) intensivist as well as hours of coverage and attendance of intensivist on potential DDIs (pDDIs) was evaluated in six adult trauma ICUs of a level one trauma center.In this 6-month cross-sectional study, 200 patients were included. The DDIs were classified into five groups, including type A, B, C, D, and X. pDDIs were defined as interactions belonged to C, D and X categories. Patients in six adult ICUs with three different patterns of intensivist staffing models including type A (once-daily therapeutic intensivist visit followed by 24 h on-call), B (twice-daily academic intensivist visit, 8 h of attendance in ICU and 16 h on-call) and C (all criteria just like ICU type B, except for the presence of therapeutic instead of academic intensivist) were screened for pDDIs.In total, 3735 drug orders and 3869 drugs (193 different types) were screened and 1826 pDDIs were identified. Type C, D and X interactions accounted for 60.6%, 35.5%, and 3.9% of all pDDIs, respectively. The mean of pDDI per patient was significantly higher (p-value < 0.001) in the ICU type A than ICU types C and B. The frequency of pDDIs was the highest in the type A ICUs. A statistically significant relationship was observed between the number of prescribed drugs and ICU length of stay (p-value < 0.001 and p = 0.009, respectively).Different patterns of intensivist staffing affect pDDIs to varying degrees. In the studied ICUs academic versus therapeutic intensivist, twice versus once-daily visit, and 8 h attendance with16 h on-call versus 24 h on-call were associated with more reductions in pDDIs.The impact of different intensivist staffing patterns in ICUs on the rate of potential drug-drug interactionsDrug-drug interactions (DDIs) have created alarming challenges for public health, especially in patients admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and limits the costs. Considering the high incidence of potential DDIs (pDDIs) occurring for critically ill patients and the importance of ADRs caused by pDDIs in ICUs, the effect of the presence of an academic versus therapeutic intensivist, as well as the hour of coverage of intensivist on prevalence of pDDIs was evaluated in six adult trauma ICUs of a level one trauma center in Shiraz, Iran. We also determined the prevalence of pDDIs and their associated risk factors. To the best of our knowledge, this is the first study that has assessed the effect of various ICU physician staffing models on the incidence and pattern of pDDIs." @default.
• W3115088891 created "2021-01-05" @default.
• W3115088891 creator A5003547419 @default.
• W3115088891 creator A5019321773 @default.
• W3115088891 creator A5020603813 @default.
• W3115088891 creator A5047329057 @default.
• W3115088891 creator A5060979154 @default.
• W3115088891 date "2020-01-01" @default.
• W3115088891 modified "2023-10-14" @default.
• W3115088891 title "The effect of different intensivist staffing patterns on the rate of potential drug–drug interactions in adult trauma intensive care units" @default.
• W3115088891 cites W1531804214 @default.
• W3115088891 cites W1586065247 @default.
• W3115088891 cites W1664401944 @default.
• W3115088891 cites W1762915406 @default.
• W3115088891 cites W1963746198 @default.
• W3115088891 cites W1968285912 @default.
• W3115088891 cites W1980002210 @default.
• W3115088891 cites W1985995385 @default.
• W3115088891 cites W1995426824 @default.
• W3115088891 cites W2002486484 @default.
• W3115088891 cites W2006328301 @default.
• W3115088891 cites W2018310656 @default.
• W3115088891 cites W2036080446 @default.
• W3115088891 cites W2041083302 @default.
• W3115088891 cites W2042266228 @default.
• W3115088891 cites W2046932936 @default.
• W3115088891 cites W2048827665 @default.
• W3115088891 cites W2053580809 @default.
• W3115088891 cites W2055162590 @default.
• W3115088891 cites W2059294586 @default.
• W3115088891 cites W2073993872 @default.
• W3115088891 cites W2074429090 @default.
• W3115088891 cites W2078247782 @default.
• W3115088891 cites W2080773270 @default.
• W3115088891 cites W2090044354 @default.
• W3115088891 cites W2091509492 @default.
• W3115088891 cites W2112215637 @default.
• W3115088891 cites W2117560962 @default.
• W3115088891 cites W2134641747 @default.
• W3115088891 cites W2146747181 @default.
• W3115088891 cites W2167215874 @default.
• W3115088891 cites W2167244063 @default.
• W3115088891 cites W2170599429 @default.
• W3115088891 cites W2171401564 @default.
• W3115088891 cites W2177618590 @default.
• W3115088891 cites W2188703842 @default.
• W3115088891 cites W2209521836 @default.
• W3115088891 cites W2317688282 @default.
• W3115088891 cites W2529453173 @default.
• W3115088891 cites W2747379254 @default.
• W3115088891 cites W2763493364 @default.
• W3115088891 cites W2794410745 @default.
• W3115088891 cites W2897920092 @default.
• W3115088891 cites W4211041687 @default.
• W3115088891 cites W2159288650 @default.
• W3115088891 doi "https://doi.org/10.1177/2042098620980640" @default.
• W3115088891 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7780171" @default.
• W3115088891 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33447355" @default.
• W3115088891 hasPublicationYear "2020" @default.
• W3115088891 type Work @default.
• W3115088891 sameAs 3115088891 @default.
• W3115088891 citedByCount "3" @default.
• W3115088891 countsByYear W31150888912021 @default.
• W3115088891 countsByYear W31150888912022 @default.
• W3115088891 countsByYear W31150888912023 @default.
• W3115088891 crossrefType "journal-article" @default.
• W3115088891 hasAuthorship W3115088891A5003547419 @default.
• W3115088891 hasAuthorship W3115088891A5019321773 @default.
• W3115088891 hasAuthorship W3115088891A5020603813 @default.
• W3115088891 hasAuthorship W3115088891A5047329057 @default.
• W3115088891 hasAuthorship W3115088891A5060979154 @default.
• W3115088891 hasBestOaLocation W31150888911 @default.
• W3115088891 hasConcept C126322002 @default.
• W3115088891 hasConcept C159110408 @default.
• W3115088891 hasConcept C162324750 @default.
• W3115088891 hasConcept C177713679 @default.
• W3115088891 hasConcept C194828623 @default.
• W3115088891 hasConcept C2777512617 @default.
• W3115088891 hasConcept C2777925291 @default.
• W3115088891 hasConcept C2778173179 @default.
• W3115088891 hasConcept C2780035454 @default.
• W3115088891 hasConcept C2987404301 @default.
• W3115088891 hasConcept C50522688 @default.
• W3115088891 hasConcept C71924100 @default.
• W3115088891 hasConcept C98274493 @default.
• W3115088891 hasConceptScore W3115088891C126322002 @default.
• W3115088891 hasConceptScore W3115088891C159110408 @default.
• W3115088891 hasConceptScore W3115088891C162324750 @default.
• W3115088891 hasConceptScore W3115088891C177713679 @default.
• W3115088891 hasConceptScore W3115088891C194828623 @default.
• W3115088891 hasConceptScore W3115088891C2777512617 @default.
• W3115088891 hasConceptScore W3115088891C2777925291 @default.
• W3115088891 hasConceptScore W3115088891C2778173179 @default.
• W3115088891 hasConceptScore W3115088891C2780035454 @default.
• W3115088891 hasConceptScore W3115088891C2987404301 @default.
• W3115088891 hasConceptScore W3115088891C50522688 @default.
• W3115088891 hasConceptScore W3115088891C71924100 @default.
• W3115088891 hasConceptScore W3115088891C98274493 @default.

• next