MétaCan
Menu
Retour à la cohorte
Enregistrement W2171684012 · doi:10.1086/586750

Treatment of Community‐Acquired Pneumonia Down Under versus the United States: Is It Really That Different?

2008· letter· en· W2171684012 sur OpenAlexaff
Lionel A. Mandell

Notice bibliographique

RevueClinical Infectious Diseases · 2008
Typeletter
Langueen
DomaineMedicine
ThématiquePneumonia and Respiratory Infections
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineCommunity-acquired pneumoniaPneumoniaIntensive care medicineMEDLINEFamily medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Community-acquired pneumonia (CAP) remains a common and often serious infection. Recent studies have suggested that the impact of CAP, particularly in the elderly population, extends beyond the time of the initial infection—in some cases, extending up to 1 year after the initial infection—and is associated with significant mortality [1, 2]. Two major issues associated with the treatment of any patient with CAP are diagnosis and treatment. When presented with a patient who seemingly has CAP, the physician must determine 2 things: is this pneumonia, and what is the pathogen responsible? The approach to treatment flows from the answers to these questions. The problem however, is that there is currently no “gold standard” for the diagnosis of pneumonia, and the physician usually does not know (with any degree of certainty) what the etiologic agent is at the time that the therapeutic decision is made. For these reasons, initial treatment is usually empirical in nature rather than directed against a specific pathogen. In an attempt to address this problem and to optimize the care of patients with CAP, a number of societies around the world have developed guidelines for the treatment of CAP. Beyond the immediate and obvious benefit of providing physicians with an approach to the initial treatment of these patients, some of the guidelines have helped to highlight the gaps and deficiencies in our knowledge about this disease, thereby helping to direct future studies. The guidelines have also codified our treatment of patients with CAP and have resulted in a reduction in mortality, length of hospital stay, and cost [3]. What is essential to the development of any CAP guideline is a knowledge of the pathogens that must be treated, as well as their antimicrobial susceptibility patterns. The article by Charles et al. [4] in this issue of Clinical Infectious Diseases is an attempt to gather Australian data on the etiology, usefulness of severity assessment tools, and treatment outcomes for CAP. The authors are to be congratulated on their carefully performed study and on the interesting article that they have produced. This is the sort of study—particularly from the point of view of determining etiology—that should ideally be performed in other countries, so that local data can be established. There are, however, a number of questions that come to mind in reading their article. An obvious question is why patients with cases classified as Pneumonia Severity Index (PSI) class I–III or in CURB-65 group 1 were admitted to the hospital in the first place? These patients constitute 46%—almost one-half—of the study population. In North America, both the Infectious Diseases Society of America–American Thoracic Society (IDSA-ATS) guidelines and the Canadian Infectious Diseases Society–Canadian Thoracic Society (CIDS-CTS) guidelines recommend treatment of such patients on an outpatient basis [5, 6]. Also, the PSI is not a true measurement of severity and was designed and validated primarily as a means of identifying low-risk patients who do not require hospital care for CAP [7]. In the discussion section, the authors state that the recent guidelines from the IDSA-ATS “have promoted the use of respiratory fluoroquinolones” (p. 1519). However, a careful reading of the guidelines indicates that this is, in fact, not the case. The fluoroquinolones are important drugs and certainly have a role to play in the management of CAP, but their role is a fairly selective one. Depending on such variables as comorbidity or recent use of certain antibiotics, the 46% of patients with PSI class I–III in the Australian trial could have been treated either with a macrolide alone or with a β-lactam (e.g., amoxicillin) plus a macrolide, had the IDSA-ATS guidelines been followed. This leads to the next obvious question. Given that 250 episodes (or 27% of all episodes in the study) were classified as only PSI class I or II, why was monotherapy with a macrolide or possibly doxycycline never used? Although data are provided on the susceptibility of pneumococci to penicillin, we are not given any information regarding susceptibilities to macrolides or doxycycline. In North America, ∼80% of patients with CAP are treated as outpatients, and 20% are treated as inpatients. The majority of inpatients are handled in a hospital ward, and ∼10% of those who are admitted to the hospital are treated in the intensive care unit. For ward patients, the IDSA-ATS guidelines recommend therapy involving either a respiratory fluoroquinolone or a β-lactam plus a macrolide. The β-lactam can be a nonpseudomonal third-generation cephalosporin (e.g., cefotaxime or ceftriaxone), ampicillin, or the carbapenem ertapenem. Preference is not given to either regimen, and in fact, my colleagues and I have stated that “the major discriminating factor between the 2 regimens is the patient's prior antibiotic exposure within the past three months” [5, p. S48]. The 3-month period is based on data that showed that antibiotic use in the previous 3 months could have a significant impact on the likelihood of infection with a strain of Streptococcus pneumoniae that is resistant to the previously used drug, particularly if the drug was a macrolide with a long half-life or a fluoroquinolone [8]. The findings of an association between prior clarithromycin use and an increased likelihood of erythromycin resistance and between prior azithromycin use and an increased risk of resistance to macrolides, penicillins, and trimethoprim–sulfamethoxazole in subsequent infecting strains of S. pneumoniae certainly are not ringing endorsements for the widespread use of macrolides. A reasonable argument can be made to administer fluoroquinolones if only to relieve some of the antibiotic selection pressure generated by unrestricted macrolide use. If a physician did select a fluoroquinolone, the evidence strongly supports such a choice. The use of monotherapy rather than combination therapy carries with it obvious logistical and financial benefits, and the respiratory fluoroquinolones provide coverage for virtually all of the pathogens of concern, including atypical pathogens, such as Mycoplasma or Chlamydophila pneumoniae or Legionella species; S. pneumoniae, including any penicillin-resistant strains; Haemophilus influenzae; and the Enterobacteriaceae. If Pseudomonas aeruginosa or community-acquired methicillin-resistant Staphylococcus aureus are of concern, specific recommendations are provided. Even for persons who are severely ill with CAP and who are admitted to an intensive care unit, a choice of a β-lactam plus either azithromycin or a fluoroquinolone is offered if Pseudomonas infection is not a consideration. The authors themselves note that their data may not be generalized to other settings, because many of the patients were from 3 large urban tertiary care centers. This may well be the case, because another Australian study of hospitalized patients with CAP who were admitted to the Royal Darwin Hospital in Tropical Northern Australia found that the most frequently encountered pathogens were S. pneumoniae and Burkholderia pseudomallei and that “atypical pneumonia organisms were uncommon” [9, p. 15]. Although there is not a comparable North America–based study of the etiology of CAP to use for comparisons with the data presented by Charles et al. [4], some important differences between their article and the North American experience come to mind. Neither community-acquired methicillin-resistant S. aureus nor P. aeruginosa appeared to be significant pathogens in the Australian article, whereas both these organisms present problems in the United States. An increased number of centers are encountering community-acquired methicillin-resistant S. aureus as a cause of severe CAP, and in my experience and in a recent study [10], P. aeruginosa was identified as a pathogen in patients with CAP admitted to both hospital wards and the intensive care unit. I wholeheartedly agree with the authors that physicians should ideally avoid reliance on the findings of international studies when developing treatment guidelines and should rely instead on data from one's own country. Unfortunately, this may not always be possible and for countries as large and diverse as Canada and the United States; such data may simply not exist. The IDSA-ATS and the CIDS-CTS guidelines, however, have always exhorted physicians to use the guidelines simply as a template and to consider local etiological and epidemiological data whenever possible. The article by Charles et al. [4] is important because of the information it provides for use by Australian physicians and because it helps highlight the potential differences between countries and the importance of local data. Potential conflicts of interest. L.M. has received research funding from Bayer, Ortho-McNeil, Oscient, Pfizer, and Abbott and has served as a consultant for Bayer, Gempra, Navexel, Ortho-McNeil, Oscient, Pfizer, Sanofi-Aventis, Targanta, and Wyeth.

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)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0210,012
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

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 Opus0,153
Tête enseignante GPT0,395
Écart entre enseignants0,242 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations6
Publié2008
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueClinical Infectious DiseasesMême sujetPneumonia and Respiratory InfectionsTravaux en français237 207