A service evaluation to determine the effectiveness of current dietary advice in treating human immunodeficiency virus‐associated weight loss and to highlight potential service improvements
Notice bibliographique
Résumé
Background: Weight loss and muscle wasting are experienced by many patients with human immunodeficiency virus (HIV) (Grinspoon et al., 2003). Malnutrition is an important predicator of morbidity and mortality; people who are malnourished who received antiretroviral treatment are six times more likely to die than those who are adequately nourished (Paton et al., 2006). The physical manifestations of muscle wasting can have significant psychosocial implications for HIV patients (Power et al., 2003; Sattler, 2003). The aim of this study to evaluate provision of dietetic care to patients referred for acute weight loss advice and identify areas for potential service improvement. Methods: The data were gathered from the departmental dietetic activity statistics in 2007, diagnosis code ‘HIV – acute weight loss’. Fifty‐nine cards were located and baseline weight, height and body mass index (BMI) were recorded (two female, 57 male). Qualitative data on dietetic intervention were extracted from record cards – little and often eating approach, food fortification (FF), high energy high protein oral nutritional supplement (ONS) prescribed. Data were collected on body image, exercise and weight at follow‐up visits during 2007. Results: Forty‐three percent of the patients referred for ‘HIV‐acute weight loss’ were lost to follow‐up. Forty‐seven percent of the remaining patients had a BMI <20 kg m−2. Following their initial dietetic intervention, 81% of these patients had gained weight at the first follow‐up. All had received nutritional counselling on little and often eating approach and FF; 75% had ONS prescribed. Average weight gain with nutritional counselling alone was 1.3 kg (2.1 kg) and for nutritional counselling plus supplementation was 2.1 kg (1.8 kg). This represented 2.5% (4.1%) and 3.9% (3.4%) weight gain, respectively. Discussion: This evaluation has highlighted that patient follow‐up frequency is an area for service improvement. Fifty‐three per cent of patients (excluding those lost to follow up) had a BMI ≥20 kg m−2 and were inaccurately recorded in the statistics as being referred for ‘HIV‐acute weight loss’. Fifty‐two percent of these patients reported lipodystrophy and body image concerns, similar to findings of other studies. Fifty‐six percent reported weight improvements following dietetic consultation. Body image is a frequent referral trigger, therefore improvements should be made to identify and treat patients with body shape issues. Conclusions: Dietitians are effective at achieving weight gain in HIV positive patients with a BMI <20 kg m−2 using nutritional counselling methods with or without oral nutritional supplementation; these patients experienced a 3.3% weight gain. Strategies need to be implemented to reduce the number of patients lost to follow‐up, as weight loss is a key morbidity and mortality indicator in HIV. References Grinspoon, S. & Mulligan, K. (2003) Weight loss and wasting in patients infected with HIV. Clin. Infect. Dis.36 (Suppl. 2): 69–78. Nerad, J., Romeyn, M., Silverman, E., Allen‐Reid, J., Dieterich, D., Merchant, J., Pelletier, V., Tinnerello, D. & Fenton, M. (2003) General nutritional management in patients infected with HIV. Clin. Infect. Dis.36 (Suppl. 2): 52–62. Ockenga, J., Grimble, R., Jonkers‐Schuitema, C., Macallan, D., Melchior, J.C., Sauerwein, H.P., Schwenk, A. & Suttmann, U. (2006) ESPEN guidelines on enteral nutrition: wasting in HIV and other chronic infectious diseases. Clin. Nutr.25, 319–329. Paton, N.I., Sangeetha, S., Earnest, A. & Bellamy, R. (2006) The impact of malnutrition on survival and the CD4 count response in HIV‐infected patients starting antiretroviral therapy. HIV Med.7, 232–330. Power, R., Tate, H.L., McGill, S.M. & Taylor, C. (2003) A qualitative study of the psychosocial implications of lipodystrophy syndrome on HIV positive individuals. Sex. Transm. Infect.79, 137–141. Sattler, F. (2003) Body habitus changes related to lipodystrophy. Clin. Infect. Dis36 (Suppl. 2): 84–90.
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 | 0,012 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 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) | 0,006 | 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 ».