Literature DB >> 22956881

"Home of Younger Skin" (HOYS) program: Defining the change in apparent skin age after facial treatment with botulinum toxin and dermal fillers.

Greg J Goodman1, Stefania Roberts.   

Abstract

BACKGROUND: Objective and subjective scales estimating improvement in both clinical studies and clinical practice are becoming more mainstream. However, the use of a system to analyze improvement in aging with a multiplicity of treatments would be useful. The purpose of this study was to use a recently developed educative and patient self-assessment program ("Home of Younger Skin", HOYS) for assessment of the effect of facial treatment with neurotoxins and filling agents in terms of decreasing apparent age.
METHODS: Four patients underwent facial treatments with neurotoxins and dermal fillers by an experienced blinded physician and were assessed twice utilizing an age analysis program (HOYS), once before and then 6 weeks after completion of treatment.
RESULTS: The four patients showed an average reduction in apparent facial age of 7.5 years. The individual "regions" differed in their reductions. The upper face showed a decline of 13.5 years, the periorbital region 9.25 years, the mid face 4.5 years, and the lower face 12.25 years.
CONCLUSION: Use of this previously validated self-assessment program may prove to be a useful measure of patient-reported improvement with treatment.

Entities:  

Keywords:  HOYS; aging; botulinum toxin; fillers; laser; rejuvenation

Year:  2012        PMID: 22956881      PMCID: PMC3426267          DOI: 10.2147/CCID.S34705

Source DB:  PubMed          Journal:  Clin Cosmet Investig Dermatol        ISSN: 1178-7015


Introduction

Skin aging in females is generally not a uniform process. Many women have distinct areas (subregions) of the face, chest, neck, or hands that age well, some in keeping with their chronological age, and others making them appear older than they are. The HOYS (“Home of Younger Skin”) is a newly validated patient education and treatment planning software program, developed with the objective of creating an individualized and reproducible consultation. This program enables patients to make informed treatment decisions in collaboration with their health care practitioner.1 Whilst other scales have been widely reported and used in research and clinical practice,2–13 the HOYS program not only assesses skin ages in a number of regions, but develops treatment plans allowing patients and staff to track the progress of the treatments delivered. The program has two different audiences, ie, the patient (and their aesthetic physician) and the clinical investigator. This program is specifically designed for patient self-evaluation and education regarding age-related changes encountered by women aged 20–65 years via a representative series of digital images.1 These images characterize age-related changes to the skin surface, ie, the effects of muscle movement and volume shifts in a total of 35 defined areas (subregions) of the human face. Each of these 35 subregions is depicted by five images from a “typical” patient at age 25, 35, 45, 55 or 65 years, reflecting five grades of aging or “severity” of the particular feature, presented in a Likert scale. The first program profile was designed for Caucasian females. During administration of the program, patients view their image in a mirror while using a web-based application of the program. They select the image that most closely represents their own appearance for the particular subregion under examination. Examples of the scales used in the regions most examined are shown in Figures 1–4. The program is automated, with a help function consisting of audiovisual and written prompts allowing patients to navigate at their own pace (Figure 5A and B). At the conclusion of the program, the grades identified by the patient as closest to their own appearance generate a report detailing the “skin age” for each of the seven regions, underpinned by the 35 subregions (Table 1).
Figure 1

Region 1 (forehead and brows) showing glabellar frown lines in relaxed and contracted state.

Figure 4

Region 4 (lower face) showing lip volume.

Figure 5

Typical screen with (A) “help” graphics enabled and (B) with transcript added.

Table 1

Seven geographical regions and constitutent subregions of the HOYS program

RegionSubregions assessed
Forehead and temple regionForehead lines at rest
Forehead lines on contraction
Forehead sebaceous hyperplasia
Glabellar furrows at rest
Glabellar furrows on contraction
Temples
Female brow position and shape
Periorbital regionUpper eyelids
Crow’s feet at rest
Crow’s feet on contraction
Eyelashes – lateral/frontal
Infraorbital lines under the eyes at rest
Infraorbital lines under the eyes on contraction
Nasojugal folds and tear trough deformities (dark circles)
Infraorbital fat pads
Mid face and noseNasal droop
Bunny scrunch or wolf lines at rest
Bunny scrunch or wolf lines on contraction
Facial wrinkling at rest (cheeks)
Facial wrinkling on contraction (cheeks)
Pores
Facial indented scars
Face telangiectasias (displayed on cheeks)
Facial “age” spots
Facial sunspots and other sun-induced lesions
Face dyschromia (blotchy coloring)
Facial shape
Malar (cheek) volume
Perioral/lower faceNasolabial folds
Lip volume
Upper lip wrinkles at rest
Upper lip wrinkles on contraction
Marionette lines and pre-jowl sulcus
Jaw line
NeckNeck bands at rest
Neck bands on contraction
Chin and neck loss of definition and redundancy
Neck surface
DécolletageDécolletage
HandsFullness and elasticity
Skin quality

Abbreviation: HOYS, “Home of Younger Skin”.

These seven regions encompass the upper face, which is divided into two regions (forehead and temples and the periorbital region), the mid face, the perioral/lower face, and the extrafacial regions of the neck, décolletage, and hands. A total skin age score is also generated, which is a composite of these seven regions (Figure 6). The program creates a prioritization list of the subregions based on the degree of age divergence or “grade” assigned by the patient for each of these regions. This is measured against what is expected for a woman of the same chronological age and is defined by the program utilizing a proprietary algorithm (Figure 7). This forms the basis for the clinical treatment plan used by the physician in consultation with the patient (Figure 8).
Figure 6

Typical results page displaying skin scores.

Figure 7

Screen showing the results scores listed by severity and patient prioritization in first step of developing a treatment plan.

Figure 8

Page showing treatment priorities identified by patient and clinician and session creation.

The program generates a total skin score as well as skin scores for the seven constituent regions detailed above and keeps a record of subregion selections and how these may change over time or with treatment. This opens up another potential use for this program in the field of clinical research. Completing the program assessment prior to treatment intervention and then repeating this assessment post-treatment captures a quantitative measure of outcome. This can be used as a means to assess comparative efficacy following administration of different aesthetic treatments in the same patient. In addition, this may be used objectively in patient assessment or by a blinded or unblinded observer. The photonumeric Likert scales representing the 35 subregions used in this program have been validated14 and are used in this paper to identify self-reported improvement seen in patients after facial treatment. These involve volume-enhancing injections of hyaluronic acid as well as botulinum toxin for facial and neck muscle relaxation.

Materials and methods

In a small study, the software program was used by patients to self-assess their appearance against the set of validated scales. The patients self-assessed these areas before and after treatment by an injector blinded to the HOYS examination, and its results and suggestions. The blinded injector was given the ability to correct the patients with botulinum toxin and hyaluronic acid optimally in two sessions. This software also involves treatment planning and part of the study was to assess its predictive power compared with a blinded, experienced injector. Four eligible female patients with an average age of 52 years (individual ages 39, 43, 57, and 69 years) were studied, and two program analyses were performed prior and 6 weeks following treatment. A second treatment was performed, if required, 4–6 weeks after the first. The final program analysis occurred 6 weeks after optimal correction. All patients received treatment to the forehead and brows, and periorbital, mid, and lower face areas. In this study, there was no surgical treatment or treatment to the skin surface such as lasers, intense pulsed light, or chemical peels, so the possibility of further self-assessed improvement in skin age exists with the addition of these treatments. Many of the subregions examined by this program are those influenced by fillers and neurotoxins, but many other subregions are not. The subregions not influenced are predominantly in the mid face region, such as pores, facial telangiectases, pigmentation, age spots, and sunspots, and require agents other than hyaluronic acid or botulinum toxin. Because no change would be probable in these uninvolved subregions, there is an expected dilution effect on the regional score in this study. Certain regions normally examined by the program, such as the chest and hands, were not treated nor included in this study. No skin care advice or lifestyle suggestions, usually part of the program’s advice, were included in this study. All patients fully consented to the procedures performed and to the intent of examination using the program. The treatments were planned to proceed with or without examination using the program, with the program acting only to capture data, and not to direct treatment.

Results

The decrease in average full-face skin age was found to be 7.5 years, but certain areas did improve more than this average. The forehead and brow region showed a decline in self-reported skin age of 13.5 years, the periorbital region 9.25 years, the mid face 4.5 years, and the lower face 12.75 years (Figures 9 and 10). Individual patient scores before and after treatments are shown in Table 2. In individual patients, the treatment of some regions seemed to make an extraordinary change of nearly two decades in the lower face of the oldest patient and upper face of the youngest patient (Table 2). Only one patient registered an increase in age with treatment, showing an increase of 2 years after treatment of the mid face. The blinded injectors’ decisions regarding therapy were all predicted by the program.
Figure 9

A 57-year-old patient showing self-assessed full facial age decrease of 8 years, with focal areas of upper face showing a decrease of 17 years and lower face showing improvement of 15 years after having botulinum toxin and hyaluronic acid fillers.

Figure 10

A 69-year-old patient showing a full facial decrease of 14 years in self-assessed age, with the upper face decreasing by 16 years and the lower face decreasing by 19 years following intervention with botulinum toxin and hyaluronic acid fillers in these regions.

Table 2

Skin age of patients by region and overall before and after treatment

Skin age of region/sPatient 1Real age 39 yearsPatient 2Real age 43 yearsPatient 3Real age 57 yearsPatient 4Real age 69 years
Skin age decrease across all regions4 years6 years8 years14 years
Skin age before and after treatmentBeforeAfterBeforeAfterBeforeAfterBeforeAfter
Forehead and temple region4325 (18)3835 (3)5740 (17)5135 (16)
Periorbital region3531 (4)3628 (8)4538 (7)4538 (7)
Mid face and nose2931 (2)3831 (7)4137 (4)5041 (9)
Perioral/lower face3933 (6)3933 (6)5641 (15)5738 (19)

Discussion

As we age, there are subtle clues to this aging which are recognizable to ourselves and to others. We all age similarly but subtly, and different parts of us age at different rates. We all have a stock of genetic material, and from then on, we age by intrinsic and extrinsic means. Intrinsic facial aging is more about subtle volume changes that slowly show their clues decade by decade, requiring change of personal identification such as passport or driving license at these intervals. Facial recognition software is extraordinary but may struggle with recognition over many decades of life. Changes in bone, dentition, and soft tissue volume also contribute to intrinsic changes which appear through the years in a genetically preordained way. Correction of diet and adjustment of aspects such as hormonal status may allow a slowing of this aging.15 Extrinsic changes relate more to surface changes of environmentally damaged skin, although in essence share similar pathways to intrinsic aging processes, but appear as a sharper, more exaggerated version.16 In between these two types of changes, and intersecting like a Venn diagram, are the effects of movement on the aging process. Movement is primarily for registering our emotional responses to others in a socialized world. These responses represent annoyance, surprise, amusement, happiness, anger, and many other emotions.17 It is their appearance at rest that seems to point to our age. The way we use our muscles is probably a genetically programmed aspect with recurrent movement or expression, even at a young age, suggesting where fixed wrinkles will likely follow. These wrinkles may begin to stamp themselves as volume depletes over time, and become fixed if the skin is sun-damaged and can no longer deal with recurrent movement. To examine multiple treatments and their effects on the appearance of patients in a meaningful way, we require a tool allowing a reproducible method of studying the total effect of those treatments. The HOYS program was devised to provide patient education and empowerment to achieve optimal therapeutic outcomes as the patient self-assesses their appearance section by section. When a patient is considering combining rejuvenation strategies, it is useful to have a patient-reported outcome measure such as HOYS to follow their improvement as well as to indicate to both the patient and practitioner their expected improvement in self-perceived skin age with therapy.
  17 in total

1.  The wrinkle severity rating scale: a validation study.

Authors:  Doris J Day; Curt M Littler; Richard W Swift; Scott Gottlieb
Journal:  Am J Clin Dermatol       Date:  2004       Impact factor: 7.403

2.  Reproducibility of two four-point clinical severity scores for lateral canthal lines (crow's feet).

Authors:  Tobias Hund; Benjamin Ascher; Berthold Rzany
Journal:  Dermatol Surg       Date:  2006-10       Impact factor: 3.398

3.  A validated grading scale for crow's feet.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

4.  A validated grading scale for forehead lines.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

5.  A validated grading scale for marionette lines.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

6.  A validated hand grading scale.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

Review 7.  Botulinum toxin and the facial feedback hypothesis: can looking better make you feel happier?

Authors:  Murad Alam; Karen C Barrett; Robert M Hodapp; Kenneth A Arndt
Journal:  J Am Acad Dermatol       Date:  2008-06       Impact factor: 11.527

8.  A validated brow positioning grading scale.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

9.  A validated lip fullness grading scale.

Authors:  Alastair Carruthers; Jean Carruthers; Bhushan Hardas; Mandeep Kaur; Roman Goertelmeyer; Derek Jones; Berthold Rzany; Joel Cohen; Martina Kerscher; Timothy Corcoran Flynn; Corey Maas; Gerhard Sattler; Alexander Gebauer; Rainer Pooth; Kathleen McClure; Ulli Simone-Korbel; Larry Buchner
Journal:  Dermatol Surg       Date:  2008-11       Impact factor: 3.398

10.  Patient's self-evaluation of two education programs for age-related skin changes in the face: a prospective, randomized, controlled study.

Authors:  Linda M Williams; Jane E Alderman; Garry Cussell; John Goldston; Neal Hamilton; Adrian C Lim; Greg J Goodman; Michael B Halstead; John D Rogers
Journal:  Clin Cosmet Investig Dermatol       Date:  2011-09-28
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