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Enregistrement W2559705994 · doi:10.1182/blood.v118.21.4748.4748

Preoperative Hemoglobin Levels, Characteristics, and Resource Utilization in Total Hip Replacement Patients with An Anemia Diagnosis Versus without An Anemia Diagnosis: An Electronic Medical Record Analysis

2011· article· en· W2559705994 sur OpenAlexaff
Jamie B. Forlenza, Lorie Ellis, Hélène Parisé, Marie‐Hélène Lafeuille, Patrick Lefèbvre

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood transfusion and management
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésMedicineAnemiaMedical recordHemoglobinRetrospective cohort studyPopulationSurgeryPediatricsElectronic medical recordInternal medicineEmergency medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4748 Purpose: This retrospective analysis describes preoperative hemoglobin (Hb) levels, characteristics, and resource use in total hip replacement (THR) patients who had an anemia diagnosis as compared to those without an anemia diagnosis. Methods: Electronic medical records (EMR) from a large US integrated health delivery system were analyzed for the period 01/2004 to 09/2010. Adult patients with a THR surgery record and ≥1 Hb measurement were studied. Patients with a hip or knee revision before or during surgery, with bilateral surgery, or with an emergency room (ER) visit on the surgery admission date were excluded. Patients were stratified into two groups based upon the presence or absence of an anemia diagnosis (ICD-9 codes 280.xx-285.xx) in the 90 days before or day of surgery. Hemoglobin levels measured in the 45 days prior to but excluding the day of surgery were analyzed. For patients with multiple Hb measurements, the earliest observed Hb measurement (defined as the measurement collected furthest in time from the date of surgery) was evaluated. Other clinical and demographic characteristics in the 90 days before or day of surgery and resource utilization in the 90 days pre-surgery were analyzed. Descriptive statistics were reported as frequencies and means±standard deviations, and groups were compared using the Pearson chi-square test for categorical variables and Student's t-test for continuous variables. Results: The total study population consisted of 1,578 THR patients, of which, 10.5% (n=165) had an anemia diagnosis. In patients with an anemia diagnosis, the first anemia diagnosis in the EMR occurred 33±28 days before surgery. Patients with an anemia diagnosis versus those without an anemia diagnosis tended to be older (mean age 67.2±15.0 vs 64.8±13.0 years, respectively; p=0.045), have a lower proportion that were white (95.2% vs 98.9%, respectively; p<0.001), and have a higher comorbidity burden as measured by the Quan-Charlson Comorbidity Index (Q-CCI) (mean Q-CCI of 1.3±1.7 vs 0.5±0.9, respectively, p<0.001). The mean earliest Hb level for the total population was 13.7±1.4 g/dL and was <13 g/dL in 28.8% of THR patients and <12 g/dL in 9.8% of THR patients. The mean earliest Hb level was 12.3±1.4 g/dL in patients with an anemia diagnosis and was 13.9±1.3 g/dL for the group without an anemia diagnosis (p<0.001). Of patients with an anemia diagnosis, the majority (67.9%) had an earliest Hb level <13 g/dL (versus 24.2% of those without an anemia diagnosis; p<0.001) while 38.8% of those with an anemia diagnosis had an earliest Hb level <12 g/dL (versus 6.4% of those without an anemia diagnosis; p<0.001). Over 15% of patients with an anemia diagnosis had a hospitalization in the 90 days before THR surgery versus 4.9% of those without an anemia diagnosis (p<0.001). In addition, 5.5% of the group with an anemia diagnosis had an ER visit versus 3.0% of those without an anemia diagnosis (p=0.088). In the 90 days pre-THR surgery, the anemia diagnosis group had 4.8±2.8 days with an office/outpatient visit and 12.7±8.6 days with another-type service (e.g., prescription refill, administrative services) while the group without an anemia diagnosis had 3.4±2.0 (p<0.001) and 7.3±4.6 (p<0.001) days with these respective services. Conclusions: In this EMR database analysis, more than 10% of patients had an anemia diagnosis based upon ICD-9 codes in 90 days before or day of THR surgery. Patients with an anemia diagnosis differed from those without an anemia diagnosis for certain characteristics including age, proportion who were white, comorbidity burden, and mean earliest Hb levels. The proportion of patients with a hospitalization in the 90 days preceding THR surgery was significantly greater in patients with an anemia diagnosis as compared to those without an anemia diagnosis. In the total population, over 28% and 9% of patients had an earliest Hb value <13 g/dL and <12 g/dL, respectively, however, in patients without an anemia diagnosis, over 24% and 6% had an earliest Hb level <13 g/dL and <12 g/dL, respectively. This research provides further insight into preoperative Hb levels for a population of THR patients with and without anemia diagnosis codes. Further research is warranted to better understand these variations between groups as well as the implications of these differences on preoperative management and post-operative outcomes in THR populations. Disclosures: Forlenza: Janssen Scientific Affairs, LLC: Employment. Ellis:Janssen Scientific Affairs, LLC: Employment. Parise:Janssen Scientific Affairs, LLC: Consultancy. Lafeuille:Janssen Scientific Affairs, LLC: Consultancy. Lefebvre:Janssen Scientific Affairs, LLC: Consultancy.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,267
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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