FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3001465963> ?p ?o ?g. }

• W3001465963 endingPage "e0228082" @default.
• W3001465963 startingPage "e0228082" @default.
• W3001465963 abstract "Early accurate assessment of the clinical status of severely injured patients is crucial for guiding the surgical treatment strategy. Several scales are available to differentiate between risk categories. They vary between expert recommendations and scores developed on the basis of patient data (level II). We compared four established scoring systems in regard to their predictive abilities for early (e.g., hemorrhage-induced mortality) versus late (Multiple Organ Failure (MOF), sepsis, late death) in-hospital complications.A database from a level I trauma center was used. The inclusion criteria implied an injury severity score (ISS) of ≥16 points, primary admission, and a complete data set from admission to hospital-day 21. The following four scales were tested: the clinical grading scale (CGS; covers acidosis, shock, coagulation, and soft tissue injuries), the modified clinical grading scale (mCGS; covers CGS with modifications), the polytrauma grading score (PTGS; covers shock, coagulation, and ISS), and the early appropriate care protocol (EAC; covers acid-base changes). Admission values were selected from each scale and the following endpoints were compared: mortality, pneumonia, sepsis, death from hemorrhagic shock, and multiple organ failure.Shapiro-Wilk test for normal distribution, Pearson Chi square, odds ratios (OR) for all endpoints, 95% confidence intervals. Fitted, generalized linear models were used for prediction analysis. Krippendorff was used for comparison of CGS and mCGS. Alpha set at 0.05.In total, 3668 severely injured patients were included (mean age, 45.8±20 years; mean ISS, 28.2±15.1 points; incidence of pneumonia, 19.0%; incidence of sepsis, 14.9%; death from hem. shock, 4.1%; death from multiple organ failure (MOF), 1.9%; mortality rate, 26.8%). Our data show distinct differences in the prediction of complications, including mortality, for these scores (OR ranging from 0.5 to 9.1). The PTGS demonstrated the highest predictive value for any late complication (OR = 2.0), sepsis (OR = 2.6, p = 0.05), or pneumonia (OR = 2.0, p = 0.2). The EAC demonstrated good prediction for hemorrhage-induced early mortality (OR = 7.1, p<0.0001), but did not predict late complications (sepsis, OR = 0.8 and p = 0.52; pneumonia, OR = 1.1 and p = 0.7) CGS and mCGS are not comparable and should not be used interchangeably (Krippendorff α = 0.045).Our data show that prediction of complications is more precise after using values that covers different physiological systems (coagulation, hemorrhage, acid-base changes, and soft tissue damage) when compared with using values of only one physiological system (e.g., acidosis). When acid-base changes alone were tested in terms of complications, they were predictive of complications within 72 hours but failed to predict late complications. These findings should be considered when performing early assessment of trauma patients or for the development of new scores." @default.
• W3001465963 created "2020-01-30" @default.
• W3001465963 creator A5000672715 @default.
• W3001465963 creator A5015596992 @default.
• W3001465963 creator A5040078834 @default.
• W3001465963 creator A5053230976 @default.
• W3001465963 creator A5078473802 @default.
• W3001465963 creator A5078856447 @default.
• W3001465963 date "2020-01-24" @default.
• W3001465963 modified "2023-10-07" @default.
• W3001465963 title "How to detect a polytrauma patient at risk of complications: A validation and database analysis of four published scales" @default.
• W3001465963 cites W1603121691 @default.
• W3001465963 cites W1803784511 @default.
• W3001465963 cites W1967716704 @default.
• W3001465963 cites W1972006031 @default.
• W3001465963 cites W1972088123 @default.
• W3001465963 cites W1987442085 @default.
• W3001465963 cites W1990185029 @default.
• W3001465963 cites W1995907558 @default.
• W3001465963 cites W1998793931 @default.
• W3001465963 cites W1999828550 @default.
• W3001465963 cites W2012046122 @default.
• W3001465963 cites W2014617712 @default.
• W3001465963 cites W2021001769 @default.
• W3001465963 cites W2021855861 @default.
• W3001465963 cites W2026729936 @default.
• W3001465963 cites W2031050814 @default.
• W3001465963 cites W2044952305 @default.
• W3001465963 cites W2047143401 @default.
• W3001465963 cites W2047613897 @default.
• W3001465963 cites W2052703053 @default.
• W3001465963 cites W2054870230 @default.
• W3001465963 cites W2056208640 @default.
• W3001465963 cites W2058468708 @default.
• W3001465963 cites W2064146504 @default.
• W3001465963 cites W2064454933 @default.
• W3001465963 cites W2064637067 @default.
• W3001465963 cites W2077328263 @default.
• W3001465963 cites W2086391963 @default.
• W3001465963 cites W2086728764 @default.
• W3001465963 cites W2091964163 @default.
• W3001465963 cites W2091969371 @default.
• W3001465963 cites W2094585618 @default.
• W3001465963 cites W2094943913 @default.
• W3001465963 cites W2117413959 @default.
• W3001465963 cites W2129799766 @default.
• W3001465963 cites W2153468179 @default.
• W3001465963 cites W2160440806 @default.
• W3001465963 cites W2168063472 @default.
• W3001465963 cites W2181657803 @default.
• W3001465963 cites W2315537642 @default.
• W3001465963 cites W2316163073 @default.
• W3001465963 cites W2331753381 @default.
• W3001465963 cites W2337276933 @default.
• W3001465963 cites W2396812066 @default.
• W3001465963 cites W2557947618 @default.
• W3001465963 cites W2618849348 @default.
• W3001465963 cites W2620241325 @default.
• W3001465963 cites W2755476653 @default.
• W3001465963 cites W2768146862 @default.
• W3001465963 cites W2782628125 @default.
• W3001465963 cites W2791394970 @default.
• W3001465963 cites W2797719877 @default.
• W3001465963 cites W2803758195 @default.
• W3001465963 cites W2970039619 @default.
• W3001465963 cites W4293108385 @default.
• W3001465963 doi "https://doi.org/10.1371/journal.pone.0228082" @default.
• W3001465963 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6980592" @default.
• W3001465963 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31978109" @default.
• W3001465963 hasPublicationYear "2020" @default.
• W3001465963 type Work @default.
• W3001465963 sameAs 3001465963 @default.
• W3001465963 citedByCount "44" @default.
• W3001465963 countsByYear W30014659632020 @default.
• W3001465963 countsByYear W30014659632021 @default.
• W3001465963 countsByYear W30014659632022 @default.
• W3001465963 countsByYear W30014659632023 @default.
• W3001465963 crossrefType "journal-article" @default.
• W3001465963 hasAuthorship W3001465963A5000672715 @default.
• W3001465963 hasAuthorship W3001465963A5015596992 @default.
• W3001465963 hasAuthorship W3001465963A5040078834 @default.
• W3001465963 hasAuthorship W3001465963A5053230976 @default.
• W3001465963 hasAuthorship W3001465963A5078473802 @default.
• W3001465963 hasAuthorship W3001465963A5078856447 @default.
• W3001465963 hasBestOaLocation W30014659631 @default.
• W3001465963 hasConcept C126322002 @default.
• W3001465963 hasConcept C156957248 @default.
• W3001465963 hasConcept C177713679 @default.
• W3001465963 hasConcept C190385971 @default.
• W3001465963 hasConcept C194828623 @default.
• W3001465963 hasConcept C2776692886 @default.
• W3001465963 hasConcept C2777465075 @default.
• W3001465963 hasConcept C2777628635 @default.
• W3001465963 hasConcept C2778384902 @default.
• W3001465963 hasConcept C3017944768 @default.
• W3001465963 hasConcept C44249647 @default.
• W3001465963 hasConcept C71924100 @default.
• W3001465963 hasConcept C85004164 @default.

• next