FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904500534> ?p ?o ?g. }

• W2904500534 endingPage "340" @default.
• W2904500534 startingPage "334" @default.
• W2904500534 abstract "Increasing rates of hospitalization of patients diagnosed with acute odontogenic infection have become a burden for public health care, with significant economic concerns. The aim of this study was to investigate factors that tend to prolong hospital length of stay (LOS) in the treatment of severe infections. We present a statistical model that enables the prediction of LOS by exposing the feasibility of the essential statistical determinants. A 5-year retrospective study investigated records of 303 in-hospital patients with abscess of odontogenic origin. Time-to-event models were used to analyse data where the outcome variable is the time to the occurrence of a specific event. Here, the focus is on a statistical model for the prediction of LOS of patients. The group of all patients (n = 303) was analysed by considering seven characteristics of the patients (age, gender, spreading of infection, localization of infection focus, type of administered antibiotics, diagnosed diabetes mellitus, and existence of a remaining infection focus). Age (p = 0.049; rc = −0.007) and spreading of infection (p < 0.001; rc = −0.965) showed a significant impact on the LOS. Subjects were divided into two groups. Group A (n = 185) consisted of patients who presented with a severe odontogenic infection and not yet removed infection focus; group B were patients having undergone outpatient operative tooth removal (n = 118). To group A patients’ data, two new risk factors (“days between abscess incision and removal of infection focus” = dbir and “removal of infection focus during the same stay as abscess incision” = riss) replaced the risk factors “remaining infection focus.” A significant impact on the LOS was detected for dbir (p < 0.001; rc = −0.15) and riss (p < 0.001; rc = −1.76). Our statistical model explicitly describes how the probability for discharge depends on the time and how specific characteristics affect the LOS. We observed a significantly higher LOS in older patients and subjects with infection spreading. In group A patients, dbir and riss had a highly significant impact on the LOS. Predicting the LOS may promote transparency to costs and management of patients under inpatient treatment. Our statistical model describes the probability of a discharge at time t compared to a discharge later than t (a LOS longer than t). Furthermore, the model enables a prediction of the LOS of each patient for practitioners in an easy way." @default.
• W2904500534 created "2018-12-22" @default.
• W2904500534 creator A5034015367 @default.
• W2904500534 creator A5069302524 @default.
• W2904500534 creator A5077244863 @default.
• W2904500534 creator A5080177315 @default.
• W2904500534 creator A5073253114 @default.
• W2904500534 date "2019-02-01" @default.
• W2904500534 modified "2023-10-06" @default.
• W2904500534 title "A mathematical approach improves the predictability of length of hospitalization due to acute odontogenic infection: A retrospective investigation of 303 patients" @default.
• W2904500534 cites W1536661465 @default.
• W2904500534 cites W1964727103 @default.
• W2904500534 cites W1968739560 @default.
• W2904500534 cites W1974730462 @default.
• W2904500534 cites W1999268799 @default.
• W2904500534 cites W1999309498 @default.
• W2904500534 cites W2001239607 @default.
• W2904500534 cites W2005123163 @default.
• W2904500534 cites W2010973264 @default.
• W2904500534 cites W2015873390 @default.
• W2904500534 cites W2032861572 @default.
• W2904500534 cites W2036204448 @default.
• W2904500534 cites W2052898712 @default.
• W2904500534 cites W2066647309 @default.
• W2904500534 cites W2071091135 @default.
• W2904500534 cites W2087920724 @default.
• W2904500534 cites W2090025285 @default.
• W2904500534 cites W2096270055 @default.
• W2904500534 cites W2103698145 @default.
• W2904500534 cites W2104340162 @default.
• W2904500534 cites W2108922421 @default.
• W2904500534 cites W2111302020 @default.
• W2904500534 cites W2119160928 @default.
• W2904500534 cites W2119380660 @default.
• W2904500534 cites W2146408268 @default.
• W2904500534 cites W2148438900 @default.
• W2904500534 cites W2161238767 @default.
• W2904500534 cites W2418626905 @default.
• W2904500534 cites W2462750918 @default.
• W2904500534 cites W2741325082 @default.
• W2904500534 cites W2964049869 @default.
• W2904500534 cites W4255299037 @default.
• W2904500534 doi "https://doi.org/10.1016/j.jcms.2018.12.002" @default.
• W2904500534 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30600196" @default.
• W2904500534 hasPublicationYear "2019" @default.
• W2904500534 type Work @default.
• W2904500534 sameAs 2904500534 @default.
• W2904500534 citedByCount "9" @default.
• W2904500534 countsByYear W29045005342021 @default.
• W2904500534 countsByYear W29045005342022 @default.
• W2904500534 countsByYear W29045005342023 @default.
• W2904500534 crossrefType "journal-article" @default.
• W2904500534 hasAuthorship W2904500534A5034015367 @default.
• W2904500534 hasAuthorship W2904500534A5069302524 @default.
• W2904500534 hasAuthorship W2904500534A5073253114 @default.
• W2904500534 hasAuthorship W2904500534A5077244863 @default.
• W2904500534 hasAuthorship W2904500534A5080177315 @default.
• W2904500534 hasConcept C126322002 @default.
• W2904500534 hasConcept C134018914 @default.
• W2904500534 hasConcept C141071460 @default.
• W2904500534 hasConcept C142724271 @default.
• W2904500534 hasConcept C167135981 @default.
• W2904500534 hasConcept C195910791 @default.
• W2904500534 hasConcept C2777035434 @default.
• W2904500534 hasConcept C2778125672 @default.
• W2904500534 hasConcept C2781102351 @default.
• W2904500534 hasConcept C555293320 @default.
• W2904500534 hasConcept C65409693 @default.
• W2904500534 hasConcept C71924100 @default.
• W2904500534 hasConceptScore W2904500534C126322002 @default.
• W2904500534 hasConceptScore W2904500534C134018914 @default.
• W2904500534 hasConceptScore W2904500534C141071460 @default.
• W2904500534 hasConceptScore W2904500534C142724271 @default.
• W2904500534 hasConceptScore W2904500534C167135981 @default.
• W2904500534 hasConceptScore W2904500534C195910791 @default.
• W2904500534 hasConceptScore W2904500534C2777035434 @default.
• W2904500534 hasConceptScore W2904500534C2778125672 @default.
• W2904500534 hasConceptScore W2904500534C2781102351 @default.
• W2904500534 hasConceptScore W2904500534C555293320 @default.
• W2904500534 hasConceptScore W2904500534C65409693 @default.
• W2904500534 hasConceptScore W2904500534C71924100 @default.
• W2904500534 hasIssue "2" @default.
• W2904500534 hasLocation W29045005341 @default.
• W2904500534 hasLocation W29045005342 @default.
• W2904500534 hasOpenAccess W2904500534 @default.
• W2904500534 hasPrimaryLocation W29045005341 @default.
• W2904500534 hasRelatedWork W1990003204 @default.
• W2904500534 hasRelatedWork W1999707973 @default.
• W2904500534 hasRelatedWork W2021766691 @default.
• W2904500534 hasRelatedWork W2332599501 @default.
• W2904500534 hasRelatedWork W2369148130 @default.
• W2904500534 hasRelatedWork W2373383567 @default.
• W2904500534 hasRelatedWork W2480836056 @default.
• W2904500534 hasRelatedWork W2898804310 @default.
• W2904500534 hasRelatedWork W3037246168 @default.
• W2904500534 hasRelatedWork W4385764968 @default.
• W2904500534 hasVolume "47" @default.
• W2904500534 isParatext "false" @default.

• next