MétaCan
Menu
Back to cohort
Record W4383872424 · doi:10.1093/asj/sjad215

Commentary on: Facial Hypertrophy as a Complication of Weight Gain in Autologous Fat Graft Patients: Considerations and Recommendations

2023· letter· en· W4383872424 on OpenAlexaffabout
Richard J. Warren

Bibliographic record

VenueAesthetic Surgery Journal · 2023
Typeletter
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineComplicationWeight gainGeneral surgeryMuscle hypertrophySurgeryClassicsGerontologyBody weightInternal medicine

Abstract

fetched live from OpenAlex

See the Original Article here. Fat graft hypertrophy after systemic weight has been reported anecdotally since the advent of liposuction and the first attempts by surgeons to inject suctioned fat.1 Over the years, various authors have speculated about the phenomenon and have presented their individual experiences.2 The scientific basis for this problem is that grafted tissue tends to maintain its original phenotypic characteristic when moved from one part of the body to another. For example, a full-thickness skin graft transferred from the back to the face will never look like normal facial skin. Similarly, when subcutaneous fat survives after being grafted elsewhere in the body, its own inherent characteristics are preserved. When the host organism gains or loses weight, individual fat cells increase and decrease in size. In humans, the most visible manifestation of weight gain is the increased volume of subcutaneous fat, which happens to be the most popular donor material used for facial fat grafting. The authors of this systematic review looked at 714 papers and selected 6 in the English language literature that met their requirements.3 They have identified commonalities in these papers and conclude with some certainty that significant weight gain can result in the hypertrophy of grafted fat in the face. They also determined that this hypertrophy can lead to poor aesthetic outcomes requiring surgical correction. The 6 papers forming the basis for this systemic review all deal with a specific case or a narrow subset of patients. These include a single case of hemifacial atrophy,4 a case of lower lid cancer resection,5 a group of Asian patients with temporal hollowing,6 and a series of periorbital augmentation.7 One series included staged injections of cryopreserved fat or a cocktail of tissue plus fat.8 However, for most plastic surgeons, facial fat grafting is a procedure done with fresh fat as part of age-related rejuvenation surgery—most commonly a facelift.9 Personally, I have found volume augmentation with injected fat to be the single most significant advance in facial rejuvenation that has come along during my 35-year career, and I do facial fat grafting in almost all facelift cases. Interestingly, the authors of this review found no paper that looked specifically at fat graft hypertrophy in this cohort of patients. This may indicate a lack of such a problem in these older patients, or it may represent a lack of reporting. In a systematic review, authors can only assess what has been published. Germane to this issue are the 2 main theories for fat graft survival. The host replacement hypothesis suggests that grafted fat cells die and are replaced by cells from the host that become new fat cells.10 The cell survival theory suggests that the fat cells survive.11 The graft replacement theory describes 3 zones: one with fat cell survival, a second with stem cell survival, and a third where all grafted cells are replaced by host cells.12 Conceptually, the survival theory is most compatible with hypertrophy of grafted fat after weight gain, but all theories could be implicated if the “new fat cells” generated by the body behave the same way as the grafted fat. This science is yet to be elucidated. Seeking a solution to the problem, the authors found a lack of evidence to select one donor site over another. However, they speculate, quite reasonably in my opinion, that fat graft hypertrophy is more likely to occur when fat is harvested from an area prone to hypertrophy during weight gain. Every patient has areas where they tend to “put on weight.” The authors therefore suggest harvesting fat for facial injection not from these labile fat stores, but rather from fat stores that tend to be more stable over time. One problem with this review, correctly identified by the authors, is the lack of any papers dealing with the pediatric age group. This is important because patients tend to gain weight through their adult years, particularly after menopause for women.13 A number of pediatric conditions, such as Parry-Romberg syndrome, are well suited for treatment with fat graft. Also, young adults requesting a “permanent filler” may undergo facial fat grafting. Most of these children and young adults are destined to gain weight later in life, which puts them at risk of fat graft hypertrophy. Fortunately, the typical facelift patient receiving facial fat graft for volume restoration is a middle-aged or older person and, in that setting, the prospect for significant weight gain in the future is much less likely. Also, in my experience, injected fat graft takes better in younger patients, whereas in the older patient with a deflated face, the percentage of graft take appears to be less certain. As a result, in the facial rejuvenation age group, facial fat grafting is a more forgiving procedure than in younger patients. The request to add more fat in these older patients is more likely than the need to remove hypertrophic fat caused by weight gain. Another factor not mentioned in this paper is the importance of the location of the fat graft if it becomes hypertrophic. When fat is placed deep, such as along the periosteum over the zygomatic body, there is a considerable margin of error before fat hypertrophy becomes a visible deformity. By contrast, fat graft placed more superficially, such as along the infraorbital rim to treat the tear trough, is easier to see and will be much more visible in the setting of systemic weight gain. This fact is likely the underlying factor behind several of the papers reviewed by the authors.6,7 Perhaps the most problematic issue introduced by this review is the difficulty in removing previously injected fat in the setting of hypertrophy secondary to weight gain. The authors note that liposuction and surgical excision have been reported in the literature, although in the clinical setting, both approaches are difficult to achieve without damaging surrounding tissue. With modern techniques for facial fat grafting, miniscule droplets of fat are injected throughout a given area and its survival is based on blood supply from surrounding soft tissue. Consequently, the fat becomes integrated and surgically removing it can result in the inadvertent removal of some surrounding soft tissue. The take-home message from this systematic review is that until we can influence the biology of fat the hypertrophy of injected fat graft will continue to be a potential problem if patients gain weight. This is more likely to be an issue in younger people where it can lead to aesthetic deformities that require surgical correction. Facial hypertrophy associated with weight gain should be included as part of the informed consent for facial fat graft. I tell all my patients that when fat harvested from their abdomen is grafted into their face, that fat “thinks it’s abdominal fat” and will enlarge in volume if they gain a lot of weight. Patients are often surprised by this, but on reflection, they universally understand and accept it, creating yet another reason for our patients to avoid excessive weight gain. The author receives royalties from Elsevier (Amsterdam, the Netherlands). The author received no financial support for the research, authorship, and publication of this article.

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)0.003
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.038
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0030.004
Open science0.0030.001
Research integrity0.0380.030
Insufficient payload (model declined to judge)0.0140.014

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 head0.032
GPT teacher head0.289
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAesthetic Surgery JournalSame topicFacial Rejuvenation and Surgery TechniquesFrench-language works237,207