MétaCan
Menu
Back to cohort

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

2008· article· en· W2118886063 on OpenAlexaboutno aff
Claire Hunt, Nihal Billing

Bibliographic record

VenueJournal of Human Nutrition and Dietetics · 2008
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWeight lossWastingMalnutritionPsychosocialBody mass indexHuman immunodeficiency virus (HIV)Intervention (counseling)Weight changePediatricsGerontologyPhysical therapyInternal medicineObesityFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.353
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Human Nutrition and DieteticsSame topicHIV-related health complications and treatmentsFrench-language works237,207