MP23-10 STONE CULTURE SPECIES AND RISK OF SEPSIS AFTER PERCUTANEOUS NEPHROLITHOTOMY: A STUDY FROM THE EDGE RESEARCH CONSORTIUM
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Résumé
You have accessJournal of UrologyStone Disease: Surgical Therapy III (MP23)1 Apr 2019MP23-10 STONE CULTURE SPECIES AND RISK OF SEPSIS AFTER PERCUTANEOUS NEPHROLITHOTOMY: A STUDY FROM THE EDGE RESEARCH CONSORTIUM Carlos Mejia Arbelaez*, Alan Yaghoubian, Timothy Batter, Dianne Sacco, Ben Chew, Manoj Monga, Amy Krambeck, Roger Sur, Bodo Knudsen, Nina Mikkilineni, Ojas Shah, Karen Stern, Smita De, Nicole Miller, Tatevik Broutian, Michael Sourial, Justin Rose, Tim Large, Kymora Scotland, Colin Lundeen, Dirk Lange, Thomas DiPina, Seth Bechis, and Brian Eisner Carlos Mejia Arbelaez*Carlos Mejia Arbelaez* More articles by this author , Alan YaghoubianAlan Yaghoubian More articles by this author , Timothy BatterTimothy Batter More articles by this author , Dianne SaccoDianne Sacco More articles by this author , Ben ChewBen Chew More articles by this author , Manoj MongaManoj Monga More articles by this author , Amy KrambeckAmy Krambeck More articles by this author , Roger SurRoger Sur More articles by this author , Bodo KnudsenBodo Knudsen More articles by this author , Nina MikkilineniNina Mikkilineni More articles by this author , Ojas ShahOjas Shah More articles by this author , Karen SternKaren Stern More articles by this author , Smita DeSmita De More articles by this author , Nicole MillerNicole Miller More articles by this author , Tatevik BroutianTatevik Broutian More articles by this author , Michael SourialMichael Sourial More articles by this author , Justin RoseJustin Rose More articles by this author , Tim LargeTim Large More articles by this author , Kymora ScotlandKymora Scotland More articles by this author , Colin LundeenColin Lundeen More articles by this author , Dirk LangeDirk Lange More articles by this author , Thomas DiPinaThomas DiPina More articles by this author , Seth BechisSeth Bechis More articles by this author , and Brian EisnerBrian Eisner More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555616.97678.f1AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: In recent years, obtaining stone culture has become common practice during percutaneous nephrolithotomy (PCNL) as it most accurately predicts bacteria responsible for post-operative sepsis. However, to date, no studies have performed a detailed analysis of the relationship between specific bacterial species and risk of sepsis after PCNL. METHODS: A retrospective review of 340 PCNL procedures was performed. We used the qSOFA (quick sequential organ failure assessment), a scoring system recently devised for the prediction of sepsis risk which has been shown in multiple studies to be more accurate than SIRS criteria. Inclusion criteria were stone culture species minimum number of 10; all stone culture species with < 10 incidents in our database were excluded due to lack of data. RESULTS: Three-hundred twenty-five patients (325) met inclusion criteria. The percentage of patients with each stone culture species that met qSOFA criteria (i.e. had increased risk of sepsis) after PCNL were as follows: negative stone culture = 10%, candida = 0%, e. coli = 6.3%, enterococcus = 8.1%, klebsiella = 0%, proteus = 40%, providencia = 0%, pseudomonas = 15.4%, staphylococcus species = 9.5%. CONCLUSIONS: In this multi-center study, we demonstrate that stone culture species may be related to risk of development of sepsis . Certain bacteria appear to be more virulent than others. 40% of patients with stone culture positive for proteus demonstrated positive qSOFA scores, whereas that rate was 15% or less for all other stone culture species. Interestingly, even in patients with a negative stone culture, 10% of patients met qSOFA criteria. These data may help surgeons, anesthesiologists, and critical care physicians plan supportive care during and after PCNL procedures. Source of Funding: none Boston, MA; Vancouver, Canada; Cleveland, OH; Indiannapolis, IN; San Diego, CA; Columbus, OH; New York City, NY; Scottsdale, AZ; Nashville, TN; Columbus, OH; Indiannapolis, IN; Vancouver, Canada; San Diego, CA; Boston, MA© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e329-e329 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Carlos Mejia Arbelaez* More articles by this author Alan Yaghoubian More articles by this author Timothy Batter More articles by this author Dianne Sacco More articles by this author Ben Chew More articles by this author Manoj Monga More articles by this author Amy Krambeck More articles by this author Roger Sur More articles by this author Bodo Knudsen More articles by this author Nina Mikkilineni More articles by this author Ojas Shah More articles by this author Karen Stern More articles by this author Smita De More articles by this author Nicole Miller More articles by this author Tatevik Broutian More articles by this author Michael Sourial More articles by this author Justin Rose More articles by this author Tim Large More articles by this author Kymora Scotland More articles by this author Colin Lundeen More articles by this author Dirk Lange More articles by this author Thomas DiPina More articles by this author Seth Bechis More articles by this author Brian Eisner More articles by this author Expand All Advertisement PDF downloadLoading ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».