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Enregistrement W2043489378 · doi:10.5581/1516-8484.20130002

Febrile neutropenia studies in Brazil - treatment and cost management based on analyses of cases

2013· article· en· W2043489378 sur OpenAlexaboutno aff
Marcelo Bellesso

Notice bibliographique

RevueRevista Brasileira de Hematologia e Hemoterapia · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueNeutropenia and Cancer Infections
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeutropeniaMedicineIntensive care medicineFebrile neutropeniaInternal medicineChemotherapy

Résumé

récupéré en direct d'OpenAlex

The management of neutropenia is a challenge in the clinical practice. It is known since the 1960s that risk of infection is associated with the intensity and duration of neutropenia(1). Neutropenic patients with an infection usually present incomplete signs and symptoms considering the severity of the condition. Thus, rubor, erythema and pustules may not be seen in neutropenia associated with a cutaneous infection, just as pulmonary infections may fail to present classical signs and symptoms such as cough, dyspnea and characteristic physical examination findings(2). Sometimes the only sign found is fever. Studies published in the 1970s have taught us that the quick administration of broad-spectrum antimicrobial agents dramatically reduces mortality from 50-90% to 10-40% within the first 72 hours of treatment(3-5). It is also known that the microbial isolation rate is low, and that there is a predominance of gram-negative bacilli. The use of antibiotics for gram-positive cocci should be adopted in cases of clear-cut risk situations such as mucositis, evident infection of a central venous catheter, hemodynamic instability and cutaneous infections(6). As of the 1980s, several studies on febrile neutropenia were performed in an attempt to differentiate risk groups for severe complications and death. The studies started with Talcott et al., who showed that patients with neutropenia undergoing chemotherapy and fever at home, without comorbidities and with the oncological disease under control, presented a low risk(7,8). In 2000, a study that standardized the risk evaluation of patients with febrile neutropenia undergoing chemotherapy was published. The index of the Multinational Association for Supportive Care of Cancer (MASCC) standardized the risk evaluation in febrile neutropenia based on clinical parameters; this evaluation that took into account the intensity of symptoms, hypotension, presence of previous fungal infection, dehydration, age and home fever was widely tested and recognized as one of the best methods to screen patients with febrile neutropenia(9). In Brazil, there are few studies that applied the MASCC index(10,11), but the mortality rate among high- and low-risk febrile neutropenia groups is notorious (Table 1). Table 1 Mortality rate among high-risk and low-risk febrile neutropenia groups Differentiating the risk groups is important because it can lower the costs of the treatment of febrile neutropenia. Pharmacoeconomic studies have estimated that the cost of each febrile neutropenia event varies between US$ 2000 and US$ 11000. According to Canadian and British studies, 25.8% of this cost is related to antibiotics and 16.4% to complementary tests. It is further estimated that about US$ 5000 can be saved per febrile neutropenia episode when the patient can be discharged early and followed up as an outpatient. The use of orally instead of intravenously administered antibiotics reduces the cost by about 80%(15). The article published in this journal, Neutropenic patients and their infectious complications at a University Hospital(16), reports on a cross-sectional study of the universe of neutropenic inpatients with infections in a general hospital. This matter needs to be further studied, and Brazilian multicentric prospective studies need to be performed given the importance of studies like this in reconfirming the relevance of the MASCC index in respect to mortality. The profile of the microbial agents isolated and their sensitivity profile help our understanding of febrile neutropenia cases and improves treatment provided to patients and a better management of the costs.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,020
Score d'incertitude au seuil0,861

Scores Codex et Gemma par catégorie

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

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 Opus0,102
Tête enseignante GPT0,407
Écart entre enseignants0,306 · 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 tête enseignante, 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

Citations11
Publié2013
Routes d'admission1
Résumé présentoui

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