Patients often seek aesthetic correction of facial deficiencies (e.g., lines and folds) that are rarely the underlying cause of dissatisfaction with their appearance. Use of a more holistic approach focused on improving the emotional messages of the face (e.g., looking less sad) may improve patient satisfaction with treatment outcomes. The MD Codes™ system was developed to increase clinician success rates by reducing variability in the technical aspects of hyaluronic acid (HA) filler treatment and focusing on addressing unfavorable emotional attributes of the face.
The MD Codes, or medical codes, represent specific anatomical subunits for injection of HA fillers. Each MD Code includes information regarding the target depth of injection, the proper delivery tool (needle or cannula) and delivery technique (e.g., aliquot, bolus, fanning), and the minimum product volume recommended to achieve visible, reproducible results (active number). During treatment planning, the appropriate MD Codes are selected using algorithms focused on lessening unfavorable facial attributes (a saggy, tired, sad, or angry look) and enhancing positive attributes (an attractive, younger, more contoured, or feminine [soft] or masculine look).
Three case studies are presented to illustrate how the MD Codes and their algorithms were used to address sagginess, tiredness, and sadness in two women and one man.
MD Codes provide a universal symbolic language for reducing variability in injection technique. The platform provides user-friendly algorithms to help clinicians increase patient satisfaction by going beyond treatment of lines and folds and to focus on reducing unfavorable facial attributes.
Level of Evidence IV
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Patients who undergo facial aesthetic procedures may be dissatisfied with treatment outcomes [1,2,3]. They often focus on particular areas with which they are unhappy, such as the periorbital area or jowls, and ask the clinician providing treatment to specifically address those features [4,5,6,7,8]. Even as patients believe that the objective of treatment with hyaluronic acid (HA) fillers is to simply eliminate distracting lines and folds, they may be dissatisfied with treatment because they were expecting improvements beyond the elimination of isolated flaws. Patients commonly hope for more global improvement, expecting to achieve a more cheerful, more relaxed, or less tired look after treatment .
Faces can convey a variety of emotional cues or messages that often do not reflect a patient’s true feelings. For example, a patient’s face may look tired when the patient is not feeling tired or may convey sadness when the patient is not feeling sad [9,10,11,12,13,14]. Studies have demonstrated that negative emotional messages are associated with specific facial deficiencies [9,10,11, 13, 15]; for example, an angry appearance may be caused by glabellar lines or a tired look caused by eye bags [10, 11, 13, 15]. Changes that occur with aging in the skin, soft tissue, and bones of the face and cause such deficiencies may result in the accumulation of these negative emotional messages [9, 11, 13]. However, treatment of only one isolated area (e.g., the eye bags) may not lead to a successful aesthetic outcome.
Several authors have suggested that rather than treating individual facial deficiencies, clinicians providing facial aesthetic treatment should address the emotional messages or miscues of the patient’s face [9, 10, 15]. In this author’s experience, patient satisfaction with treatment is improved when treatment focuses on reducing unfavorable facial messages and on increasing favorable attributes, rather than treating isolated areas. A number of emotional cues are described in the literature, including anger, fear, fatigue, sadness, and happiness [9,10,11,12,13, 15], In this paper, facial messages are grouped as four unfavorable attributes (looking tired, looking sad, having a saggy appearance, and having an angry look) and four favorable or positive attributes (looking attractive, younger, more contoured, and either feminine [soft] for women or masculine for men).
Addressing unfavorable facial attributes is challenging given the many variables that influence treatment success, defined here as a reduction in negative attributes and enhancement of positive attributes (Table 1). Some variables, such as a patient’s age, gender, and ethnicity, are not within the clinician’s control. Each of those characteristics in turn can independently affect fat content, muscle activity, and skin quality and laxity, resulting in an infinite variety of faces. However, the technical aspects of treatment, such as the product used and injection techniques applied, can be more precisely controlled. The MD Codes™ (or medical codes) is a system developed by the author to provide specific injection guidelines giving the precise location, layer, tool, delivery system, and product volume information to be used to achieve optimal results, regardless of patient age, gender, or ethnicity. The achievement of successful results, defined here as the reduction in negative or unfavorable attributes and enhancement of positive attributes, will vary between clinicians of different skill levels and experience; however, the MD Codes guidelines can improve the performance of the novice clinician, while also theoretically enhancing the success rate of more experienced clinicians. The use of the MD Codes to address unfavorable emotional messages of the face has been presented online and in seminars worldwide. While materials describing the MD Codes have been provided in conjunction with those seminars [16, 17], this article provides the first peer-reviewed description of the MD Codes system and its algorithms. Case studies are presented to illustrate its use.
Symbolic Language of the MD Codes
The MD Codes are letters, numbers, shapes, and colors (Table 2; Fig. 1) representing precise anatomical sites and procedures for the injection of HA fillers that may be understood in any language and that serve as a platform of communication between clinicians of all skill levels. Injection sites are described using a combination of letters and numbers; the letters signify anatomical units (e.g., the cheek, temple, or chin) and the numbers signify subunits, such that each code indicates a single, precise injection site (Table 3; Table S1). For example, the cheek is represented by the letters Ck, and subunits of the cheek are numbered: Ck1 = zygomatic arch, Ck2 = zygomatic eminence, Ck3 = anteromedial cheek–midcheek, and so on. The MD Codes numbers do not reflect the sequence in which the injections should be administered, but instead provide a checklist of items that the clinician can mark when assessing each facial unit. MD Codes in red denote alert areas, where there are sensitive structures, such as neurovascular bundles in facial danger zones . These red codes (Fig. 1) remind the clinician to be cautious in these areas when using needles and to consider the use of cannulas instead. The alert codes should never be used to guide injection by novice clinicians. As discussed below, treatment of alert areas should only be delivered by highly trained experts with extensive injection experience, thorough knowledge of the anatomy and physiology of each area, and the ability to manage severe complications, should they occur.
Shapes associated with the codes for HA fillers indicate injection delivery (e.g., bolus or linear injection; Table 3). For each MD Code, there is also an associated target injection depth (e.g., subcutaneous or supraperiosteal), a tool for product delivery (needle or cannula), and a minimal volume of product to inject (active number). The use of needles is preferable for precise bolus injections at the level of the bone and/or when precision and definition is required to treat fine lines in the subdermal plane (e.g., for lip lines). The use of cannulas is preferred for subcutaneous and fat pad injections and when the proximity of vessel bundles is a concern.
MD Codes Equations
A set of MD Codes that prescribes the treatment of a specific facial deficiency is grouped to form an equation (Table 4). For example, the equation to treat the tear trough area is Tt1 + Tt2 + Tt3, where each code denotes the facial unit (Tt) and subunit (1, 2, or 3). However, direct treatment of the tear trough area, or any deficiency, in isolation is not ideal and may lead to patient dissatisfaction and adverse events. Rather, the treatment of the tear trough area should be planned and carried out in the context of the unfavorable facial messages to which tear troughs contribute, including equations for each deficiency. Saggy cheeks, sunken temples, and eye bags may contribute to a tired appearance and, therefore, the treatment of a tired look may require MD Codes equations for each of those deficiencies.
The order in which the series of MD codes equations are addressed may significantly affect treatment success. In the author’s experience, patient satisfaction is improved when planning and implementation of treatment is conducted in a specific sequence, according to a principle of foundation, contour, and refinement. This approach has been described using the analogy of the construction of a house ; laying a foundation is always the first step, followed by contouring, or constructing the framing, floors, and walls. Refinements, such as interior decor, are added last. When treating the face, the foundation is laid by creating structure and reducing sagginess in the midface. Treatment of the cheek area should always begin by addressing the lateral lifting vectors, represented by Ck1 and Ck4. The contour step is divided into the upper face (treating the temples) and the lower face (chin and jawline). The final step is refinement, which involves treating tear troughs and lateral canthal lines (or crow’s feet lines) in the periorbital area, and deep nasolabial folds, the lips, and marionette lines in the perioral area. Thus, treating a tired look should be addressed by first providing foundation to the midface (e.g., saggy cheeks: Ck1 + Ck2 + Ck3 + Ck4), then contouring the upper face (e.g., sunken temples: T1 + T2), and, finally, refining the periorbital area (e.g., tear troughs: Tt1 + Tt2 + Tt3).
Algorithms for Selecting MD Codes
To handle the enormous variability among faces, the MD Codes algorithms were developed to guide selection of the appropriate MD Codes for each individual. Not every patient will need all of the codes within each equation. For example, the algorithm for saggy cheeks (Fig. 2a) guides the selection of MD Codes based on the presence or absence of volume loss. When comparing a daughter, a mother, and a grandmother, the daughter may have fullness in her cheek area and present with only a mild degree of sagginess. Thus, according to the saggy cheeks algorithm, she would benefit from treatment of only Ck1. The mother may present with sagginess and volume loss concentrated only in the medial aspect. She may benefit from treatment of Ck1, Ck3, and Ck4. The grandmother, due to a greater severity of volume loss and sagginess, may be eligible for treatment of all five cheek anatomical areas (Ck1 + Ck2 + Ck3 + Ck4 + Ck5).
Someone with a tired look may also present with sunken temples. The algorithm for sunken temples (Fig. 2b) guides clinicians on the selection of MD Codes based on the severity of volume loss in the temples. In the case of the daughter, the mother, and the grandmother, the daughter may not need any temple treatment as she may have no deficiency there. The mother may present with mild to moderate volume deficit in the temples and may benefit only from treatment of T1. The grandmother, with a more severe temple deficiency, may benefit from treatment of T1 and T2.
The algorithms for treatment of the tear troughs and the eye bags are shown in Fig. 2c and d, respectively. The vast majority of people presenting with distracting tear troughs and eye bags also have saggy cheeks and/or volume loss that would first require treatment of the cheeks (foundation) and the temples (contouring). Only a young patient who presents with no volume loss or sagginess may benefit from direct treatment of the tear troughs (Tt1 + Tt2 + Tt3), but this rarely occurs in clinical practice.
Combining the MD Codes identified using the three algorithms to treat a tired look may result in, for example, a total of seven MD Codes for the mother ([Ck1 + Ck3 + Ck4] + [T1] + [Tt1 + Tt2 + Tt3]), and 10 codes for the grandmother ([Ck1 + Ck2 + Ck3 + Ck4 + Ck5] + [T1 + T2] + [Tt1 + Tt2 + Tt3]). Thus, the difference between the treatment plans for the mother and the grandmother is in the number of codes, based on degree of severity; the grandmother does not necessarily receive more volume per code, which could lead to unnatural results and adverse events. Once the MD Codes are selected for the individual patient, a tired look is addressed step by step, first providing foundation in the midface, then contouring at the temples, and, finally, directly addressing the tear troughs or eye bags as refinement. Additional MD Codes algorithms are provided in Figure S1 in the Supplemental Materials. Clinicians must explain to patients who focus only on the refinement step that the foundation and contour should be addressed first, as represented in these algorithms.
Over the foundation, contour, and refinement steps, the MD Codes approach can result in the progressive removal of the unfavorable attributes of tiredness, sadness, and sagginess, and may enhance the positive attributes of looking younger and more feminine. Figure 3 illustrates the change in appearance that may be observed as additional MD Codes are used to add volume in successive treatment steps. Notice the improvement in the patient’s cheek immediately after providing midface foundation (Ck1 + Ck2 + Ck3 + Ck4) and contouring of the upper face (T1) with a total 4 mL of HA filler. The patient’s jawline was improved after contouring of the lower face with an additional 4 mL of HA filler (C1 + C2 + Jw4 + Jw5). Improvement in her double chin was also achieved by addressing the cheek first, then contouring the chin and anterior jawline. Foundation and contour were reinforced with additional codes (Ck3 + C6), refinement of the periorbital area improved the tear troughs (Tt1 + Tt2 + Tt3), and perioral refinement addressed the lips and nasolabial folds (Lp1 + Lp2 + Lp3 + Lp3 + Lp5 + Lp6 + NL1) using a final 9 mL of filler. The image on the right in Fig. 3 shows the patient immediately after the total injection volume of 17 mL. Increasing the number of MD Codes over these multiple treatment steps yielded more impactful results. This patient received all treatment steps in a single session; however, the author suggests planning treatment such that 4 mL is injected per session. To achieve the best possible results, more volume may be provided by using additional codes in successive sessions to reinforce facial restructuring in the midface, cheek, and jawline.
Volume Planning: The MD Codes Active Numbers
One of the biggest challenges clinicians may encounter during treatment planning is estimating the total volume of product required for treatment. Often a clinician may discover mid-treatment that the planned number of syringes is not adequate. When fillers were first introduced to the market, it was common for clinicians to treat only nasolabial folds or to distribute the product of one syringe (1 mL) among many sites, leading to a lack of visible results and patient dissatisfaction. Clinical judgment should be used to determine the appropriate total volume based on individual patient needs; however, a recommended injection volume, or active number, is provided with each MD Code to simplify the estimation of the total volume. The active numbers are minimum volumes needed to achieve visible and reproducible results (Table 3); actual injection volumes should be determined by the clinician for each patient.
The analogy of building a house is again useful for understanding the importance of volume planning. The amount of material to be used in each stage of construction is critical and must be carefully calculated in advance, in order to create a financial plan and ensure that the structure will be sound. Similarly, clinicians must know beforehand how many syringes they will need for each treatment step, to be able to communicate accurate cost information to the patient and to achieve optimal and long-lasting results.
Volume recommendations provided here (and to be presented in greater detail in a future publication) were established progressively by the author based on clinical experience with more than 10,000 syringes over a 4-year period. Clinicians may follow a simple rule: bolus injections should not exceed a total volume of 0.3 mL into the same compartment, to avoid disturbing muscle movement. There are three exceptions to this rule: when injecting the temple (T1 + T2) and the mandible angle (Jw1), the active numbers are 0.5 mL. When fanning in a specific area with a cannula, no less than 0.5 mL should be used.
To estimate the product volume needed during treatment planning, clinicians should first determine the MD Codes required for their patient, using the algorithms as described above. The active numbers for each code are then summed to estimate the minimum total volume required. For example, treating a tired look may require the following MD Codes:
0.1 mL + 0.1 mL + 0.1 mL
= 0.3 mL
= 0.7 mL
= 0.2 mL
= 0.3 mL
Tt1 + Tt2 + Tt3
0.2 mL + 0.2 mL + 0.1 mL
= 0.5 mL
Total volume per one side of the face
= 2.0 mL
Total volume for both sides of the face (2 × 2.0 mL)
= 4.0 mL
Note that when both Ck1 and T1 are injected during the same session, the active number for T1 is increased from 0.5 to 0.7 mL to allow for use of an entire 1-mL syringe. For this specific treatment, the clinician will need a total of four syringes, two for each side of the face. All patients whose treatment plans include the same MD Codes will start at the same estimated minimum total volume. In this way, the MD Codes approach reduces variability in outcomes by focusing on facial attributes rather than on the differences in age, gender, and ethnicity in the faces that harbor them.
The MD Codes were designed to provide guidelines for effective placement of HA fillers; future large-scale studies with MD Codes are needed to verify the rate of adverse events in comparison with injectable filler treatment in general. Most commonly reported complications with injectable filler treatment include injection site reactions, such as swelling, bruising, redness, and pain [20,21,22,23]. Reported rates of complications range widely in a recent systematic review of 22 studies of HA fillers; rates of swelling, bruising, and lumps or bumps ranged from less than 10% to more than 90% across trials . Few studies reported the severity of adverse events, but in those that did, most events were mild (71–88%) or moderate (11–16%) . More serious complications are rare but do occur. Delayed inflammatory reactions, examined in an analysis of 35 studies, were found to occur at a rate of 1.1% per year based on patient month at risk . A review of severe complications in the literature reported 22 articles describing necrosis or impending necrosis in patients treated with HA fillers, most commonly following injections in the nose, nasolabial folds, or glabella . Vision loss or blindness may also occur on rare occasions, likely due to blockade of ophthalmic circulation via the ophthalmic artery by filler emboli; 44 cases of partial or complete blindness after HA filler injection were described in a review of vision loss associated with HA filler treatment . Vision loss most commonly resulted from injections in the area of the nose but followed treatment at a range of upper and midface sites.
In the author’s practice, no serious complications, such as arterial embolic accident or necrosis, have occurred. Among 387 treated patients (in which the average number of syringes injected was 14), the most frequent adverse event was mild or moderate localized edema (28 patients), occurring within the first 2 months after the procedure in the majority of those patients reporting this event; delayed edema occurred in few cases. Most patients received a corticosteroid and an antihistamine prior to treatment, which may have contributed to low rates of injection site reactions. Edema generally subsided within 2 h, without additional treatment. When needed, antihistamines were used as a first medication therapy and, if unresolved, prednisolone (40 mg/day for 5 days) was prescribed. Delayed edema was usually associated with a trigger factor, such as sinusitis, a cold, or fatigue; patients with multiple allergies were also at higher risk. Rarely, hyaluronidase was needed to dissolve the product.
Although the MD Codes denote alert areas, they are designed only to remind clinicians of areas where extreme caution is required and do not eliminate the risk of complications when those areas are addressed. Clinicians must consider the risk–benefit ratio in providing facial aesthetic treatment, and only highly trained experts who have a deep understanding of the anatomy and physiology of an alert area should attempt treatment of a hazardous area.
Case Study 1
A 43-year-old Caucasian woman (Fig. 4) presented with signs of sagginess in the midface and lower face, looking tired around the eyes and looking sad around the eyes and mouth. The first step of treatment provided foundation in the midface by addressing the cheek codes. The algorithm for saggy cheeks was used to select the MD Codes for injection and, as mentioned previously, always starts with the lateral lifting cheek vectors (Ck1 + Ck4) and proceeds to the anterior (Ck2) and medial (Ck3) cheek. Contour was then provided to the upper face by addressing the volume deficit in the temple (T1), which indirectly improved the appearance of her eye bags. Next, the lower face was contoured by injecting C1 to improve the labiomental angle, C2 to increase the vertical height of the chin, and Jw4 and Jw5 to advance the mandible and to improve the prejowl area. Midface foundation was reinforced by injecting Ck3 with two different approaches, first the deep malar fat pad, then the suborbicularis oculi fat (SOOF). The lateral aspects of the chin and prejowl areas were also addressed by injecting C6. Finally, periorbital refinement was provided in the tear trough area (Tt1 + Tt2 + Tt3). Refinement in the perioral area was provided by addressing the nasolabial folds (NL1 + NL2) and lip volume (Lp1 + Lp1 + Lp6). Lastly, Jw1 was injected to reshape the mandible angle.
Images taken immediately after treatment illustrate improvements in the patient’s midface, jawline, periorbital, and perioral areas (Fig. 4a–c). The reshape of the jawline apparent in the oblique view (Fig. 4b) was accomplished by contouring with injections in C1, C2, Jw4, Jw5, C6, and Jw1. In the oblique view, improvement of the eye bags was observed after injection of Ck1, T1, Ck2, Ck3 and Tt1, Tt2, Tt3. The periorbital lines improved after addressing periorbital deflation. In the photographs taken immediately after treatment, you can see that using the MD Codes algorithm to select codes and focusing treatment on foundation, contour, and refinement resulted in the elimination of the unfavorable tired, saggy, and sad attributes of the face and enhancement of the positive attributes of looking younger, more feminine, and attractive. This patient (and the following 2 cases) received all injections in a single session, for educational purposes. However, in clinical practice, this treatment could be provided in multiple sessions, with four syringes of HA filler injected during each session.
Case Study 2
A 44-year-old woman (Fig. 5) presented with facial signs of sagginess, tiredness, and sadness, represented by the presence of saggy cheeks, eye bags, and marionette lines. Before treatment, indentation was apparent on the anterior right cheek when she smiled (Fig. 5c). The first treatment step focused on providing foundation in the midface (Ck1 + Ck4) and contouring the upper face (T1). The second step addressed the lower face by treating the chin (C1 + C2) and anterior jawline (Jw4 + Jw5). In step 3, due to the degree of severity and to further improve the jawline, Jw4 and Jw5 were reinjected. In the same step, Ck3 was injected to compensate for the deep malar fat pad and then the SOOF. The final step included periorbital and perioral refinement through injections in the tear trough area (Tt1 + Tt2 + Tt3), the nasolabial folds (NL1 + NL2), and lip (Lp1 + Lp1 + Lp6). Images taken immediately after the last treatment step illustrate the changes in facial shape, including increased volume in the cheeks, and the more triangular appearance of the chin (Fig. 5a). After the lip treatment, an upturn of the oral commissures was observed. In the oblique view, the improvement of saggy cheeks, eye bags, and the jawline resulted in a less tired, less saggy, and less sad appearance than before treatment (Fig. 5b). Injection of CK1 and Ck4 improved cheek sagginess and reduced the indentation of the woman’s right cheek, making her smile appear more attractive and natural (Fig. 5c).
Case Study 3
A 42-year-old Caucasian man (Fig. 6) presented with a narrow face, saggy cheeks, a poorly defined jawline, and a double chin. The first treatment step focused on the same lateral lifting vectors as in case 2 (Ck1 + T1 + Ck4) to build midface foundation and to contour the upper face. Step 2 focused on improving chin projection by treating the chin (C1 + C2) and jawline (Jw4 + Jw5) in the same manner that treatment was delivered for cases 1 and 2. For this patient, repeat treatment was required in a subsequent session due to the degree of severity. The lateral chin area and prejowl sulcus (C6), the lateral lower chin (C5), and the chin apex (C2) were then addressed. In addition, Ck1 was injected for the top-model look (TML; Ck1), which refers to the injection of Ck1 with a cannula to create a linear appearance of the zygomatic arch. Ck3 was injected to address the deep malar fat pad. Injection of Ck1 (TML) was repeated in a later session to further reinforce the zygomatic width, and Jw3 was injected to sharpen the jawline. Immediately after treatment, changes in facial shape could be observed, with improvements in the bitemporal, bizygomatic, and bigonial widths due to the injections of T1, Ck1, and Jw1, respectively (Fig. 6a). Indirect improvements to the tear trough area could also be observed following the injection of Ck1, T1, and Ck3. The chin presented with a more square shape, and there was less indentation of the labiomental sulcus and the prejowl area. Note that C1, C2, C5, and C6 were injected, as well as Jw4 and Jw5, to improve chin shape and address the double chin. When the patient smiles, a reduction in his double chin and smile lines can be seen (Fig. 6b). His smile looks more confident due to improvements in the lateral structure of the face (Ck1 + T1 + Ck4) and support of the deep malar fat pads (Ck3). Injection of C1 also lifted the lower lip and lessened showing of his lower teeth when smiling. The oblique view (Fig. 6c) shows improved definition of the zygomatic arch resulting from Ck1 (TML), a better jaw angle due to treatment of Jw1, a more square chin shape due to treatment of C1, C2, C5, and C6, and a more defined jawline due to treatment of Jw3. When the patient looked down, the improvement of facial shape and increased stability in the lower lip helped to create a more confident appearance (Fig. 6d).
The approach to treatment with facial fillers has historically focused on improving the appearance of lines and folds found distracting by the patient. The MD Codes approach was not designed to treat individual deficiencies within the patient’s face, but to focus instead on the emotional attributes that the entire face presents. By addressing the messages of the face and sequencing treatment using the principle of foundation, contour, and refinement, the clinician can deliver improvement beyond the elimination of isolated deficiencies to meet patients’ true expectations for a more global transformation.
The MD Codes specify the injection location, depth, volume, and device, allowing clinicians to reduce variability in those technical aspects that can be precisely controlled. However, there will always be variability in patient outcomes because each person’s face presents a different starting point. Using the same MD Codes will not cause all patients to look the same after treatment, as illustrated in the presented case studies. Two of these patients received treatment using the same MD Codes, and each achieved improvement in the unfavorable messages their faces conveyed. Further, results will likely vary with the level of a clinicians’ expertise. The clear and standardized instruction of the MD Codes on how HA fillers should be injected may help novice clinicians reduce variability in their results to achieve successful outcomes and patient satisfaction, and may optimize success rates in experienced clinicians.
Patient education during the treatment planning stage, establishing with each patient the larger goals of treatment and the process by which they can be achieved, is also critical for successful outcomes. Patients tend to focus on the refinement step. The clinician can educate the patient on the importance of providing foundation and contour first using the house building analogy. With the MD Codes and their active numbers, clinicians can help patients to understand the components of their treatment plan and to have well-informed expectations for treatment outcomes. The active numbers allow clinicians to estimate in advance the adequate volume of product required to treat patients according to their emotional attributes. They provide a tool for financial planning and may help to ensure that the entire contents of a syringe will be used, minimizing waste and overall costs and reducing the risk of infection.
The MD Codes may also help to eliminate language barriers in the development of best practices in aesthetic treatments. They are easy to learn, do not require the ability to speak or read a specific language, and reduce the amount of text required for planning and implementing treatment. The MD Codes can thus facilitate clear communication between clinicians and help newer clinicians to achieve quality, reproducible results. The components of the MD Codes are summarized for ease of use in flash cards developed to communicate the technique (Figure S2). In the future, the MD Codes may prove useful for reducing variability across clinicians within clinical studies to more objectively evaluate new products and new areas of treatment.
Although the ideas within this paper represent the opinions of the author, the MD Codes approach was developed based on extensive experience treating patients worldwide; clinicians around the world have found the MD Codes and algorithms to be effective and are using them in clinical practice and educational settings [27, 28]. The MD Codes system has not been independently supported by clinical trial data. Injection volumes suggested by the active numbers, based on the author’s clinical experience with a worldwide patient population, are intended as a starting point for the treatment plan, to be tailored to each patient. The author has not used patient-reported outcome scales to precisely measure patient satisfaction with treatment in clinical practice, and there are, as yet, no objective measures to support this approach for optimizing outcomes. No safety data for treatment using the MD Codes are available. Common adverse events associated with HA filler treatment, including injection site reactions, should be expected [29,30,31]. Real-world experience using the MD Codes across multiple clinicians will be invaluable in assessing the practical utility of this clinical tool, but comparative studies should be developed to assess the relative safety and efficacy of treatment administered using the MD Codes system.
There is a need to focus the approach to injectable HA filler treatments worldwide on delivering more natural-looking results and optimal patient satisfaction. The MD Codes are a set of shapes, colors, and numbers that provide a universal language for clear and objective guidelines. They are designed to reduce treatment variability, increase clinician success rates, and facilitate financial planning. While years of experience with HA filler treatments and thorough knowledge of facial anatomy may have the greatest impact on treatment outcomes, the MD Codes may optimize the performance of the novice clinician and enhance the success of clinicians with more experience. To improve patient satisfaction, treatment must go beyond the elimination of isolated lines and folds to define success as a reduction in negative attributes and enhancement of positive attributes. By sequencing treatment with MD Codes according to the principle of foundation first, contour second, and refinement last, clinicians may deliver next-level HA filler treatment focused on the emotional messages of the face.
Rzany B, Cartier H, Kestermont P, Trevidic P, Sattler G, Kerrouche N, Dhuin JC (2012) Correction of tear troughs and periorbital lines with a range of customized hyaluronic acid fillers. J Drugs Dermatol 11(1 Suppl):s27–34
Rzany B, Cartier H, Kestemont P, Trevidic P, Sattler G, Kerrouche N, Dhuin JC, Ma YM (2012) Full-face rejuvenation using a range of hyaluronic acid fillers: efficacy, safety, and patient satisfaction over 6 months. Dermatol Surg 38(7 Pt 2):1153–1161
Ogilvie P, Safa M, Chantrey J, Leys C, Cavallini M, Niforos F, Hopfinger R, Marx A (2019) Improvements in satisfaction with skin after treatment of facial fine lines with VYC-12 injectable gel: patient-reported outcomes from a prospective study. J Cosmet Dermatol 19(5):1065–1070
Narurkar V, Shamban A, Sissins P, Stonehouse A, Gallagher C (2015) Facial treatment preferences in aesthetically aware women. Dermatol Surg 41(suppl 1):S153–S160
Jagdeo J, Keaney T, Narurkar V, Kolodziejczyk J, Gallagher CJ (2016) Facial treatment preferences among aesthetically oriented men. Dermatol Surg 42:1155–1163
Sobanko JF, Taglienti AJ, Wilson AJ, Sarwer DB, Margolis DJ, Dai J, Percec I (2015) Motivations for seeking minimally invasive cosmetic procedures in an academic outpatient setting. Aesthet Surg J 35(8):1014–1020
Sezgin B, Findikcioglu K, Kaya B, Sibar S, Yavuzer R (2012) Mirror on the wall: a study of women’s perception of facial features as they age. Aesthet Surg J 32(4):421–425
Rubin MG, Cox SE, Kaminer MS, Solish N (2014) Correcting age-related changes in the face by use of injectable fillers and neurotoxins. Semin Cutan Med Surg 33(4 Suppl):S81–84
Michaud T, Gassia V, Belhaouari L (2015) Facial dynamics and emotional expressions in facial aging treatments. J Cosmet Dermatol 14(1):9–21
Khan JA (2001) Aesthetic surgery: diagnosing and healing the miscues of human facial expression. Ophthalmic Plast Reconstr Surg 17(1):4–6
Finn JC, Cox SE, Earl ML (2003) Social implications of hyperfunctional facial lines. Dermatol Surg 29(5):450–455
Khan JA (2005) Selective botulinum neurotoxin application: the interaction of evolution, biology, and culture in diagnosing and healing the miscues of human facial expression. Int Ophthalmol Clin 45(3):1–11
Friedman O (2005) Changes associated with the aging face. Facial Plast Surg Clin North Am 13(3):371–380
Fitzgerald R (2013) Contemporary concepts in brow and eyelid aging. Clin Plast Surg 40(1):21–42
Knoll BI, Attkiss KJ, Persing JA (2008) The influence of forehead, brow, and periorbital aesthetics on perceived expression in the youthful face. Plast Reconstr Surg 121(5):1793–1802
De Maio M (2017) Unlocking the code to facial revitalisation: a step-by-step approach to using injectables with the MD codes™ [pamphlet]. Allergan Medical Institute, Dublin
De Maio M (2017) Unlocking the messages of the face: addressing emotional attributes with the MD codes™ formulas [pamphlet]. Allergan Medical Institute, Dublin
Scheuer JF 3rd, Sieber DA, Pezeshk RA, Campbell CF, Gassman AA, Rohrich RJ (2017) Anatomy of the facial danger zones: maximizing safety during soft-tissue filler injections. Plast Reconstr Surg 139(1):50e–58e
Pavicic T, Few JW, Huber-Vorlander J (2013) A novel, multistep, combination facial rejuvenation procedure for treatment of the whole face with incobotulinumtoxinA, and two dermal fillers- calcium hydroxylapatite and a monophasic, polydensified hyaluronic acid filler. J Drugs Dermatol 12(9):978–984
Ho D, Jagdeo J (2015) Voluma: a systematic review of clinical experience. J Drugs Dermatol 14(9):934–940
San Miguel Moragas J, Reddy RR, Hernandez Alfaro F, Mommaerts MY (2015) Systematic review of “filling” procedures for lip augmentation regarding types of material, outcomes and complications. J Craniomaxillofac Surg 43(6):883–906
Wang C, Luan S, Panayi AC, Xin M, Mi B, Luan J (2018) Effectiveness and safety of hyaluronic acid gel with lidocaine for the treatment of nasolabial folds: a systematic review and meta-analysis. Aesthet Plast Surg 42(4):1104–1110
Stojanovic L, Majdic N (2019) Effectiveness and safety of hyaluronic acid fillers used to enhance overall lip fullness: a systematic review of clinical studies. J Cosmet Dermatol 18(2):436–443
Chung KL, Convery C, Ejikeme I, Ghanem AM (2020) A systematic review of the literature of delayed inflammatory reactions after hyaluronic acid filler injection to estimate the incidence of delayed type hypersensitivity reaction. Aesthet Surg J 40(5):NP286-NP300
Ozturk CN, Li Y, Tung R, Parker L, Piliang MP, Zins JE (2013) Complications following injection of soft-tissue fillers. Aesthet Surg J 33(6):862–877
Kapoor KM, Kapoor P, Heydenrych I, Bertossi D (2019) Vision loss associated with hyaluronic acid fillers: a systematic review of literature. Aesthet Plast Surg December 10 [Epub ahead of print]
Farolch-Prats L, Nome-Chamorro C (2019) Facial contouring by using dermal fillers and botulinum toxin A: a practical approach. Aesthet Plast Surg 43(3):793–802
Peng PH, Peng JH (2018) Treating the tear trough: a new classification system, a 6-step evaluation procedure, hyaluronic acid injection algorithm, and treatment sequences. J Cosmet Dermatol 17(3):333–339
DeLorenzi C (2013) Complications of injectable fillers, part I. Aesthet Surg J 33(4):561–575
Dong J, Gantz M, Goldenberg G (2016) Efficacy and safety of new dermal fillers. Cutis 98(5):309–313
Rohrich RJ, Bartlett EL, Dayan E (2019) Practical approach and safety of hyaluronic acid fillers. Plast Reconstr Surg Glob Open 7(6):e2172
The authors thank Michael Silberberg, MD, MBA, of Allergan plc for his support during the preparation of this manuscript. Writing and editorial assistance was provided to the authors by Lela Creutz, PhD, and Kathleen M. Dorries, PhD, of Peloton Advantage, LLC, an OPEN Health company, and was funded by Allergan plc, Dublin, Ireland.
This study was sponsored by Allergan plc, Dublin, Ireland. Medical writing and editorial assistance were provided to the authors by Lela Creutz, PhD, of Peloton Advantage, LLC, an OPEN Health company, and funded by Allergan plc. Neither honoraria nor other forms of payment were made for authorship.
Conflict of interest
Maurício de Maio has served as a consultant for speaking events and medical education for Allergan plc. Some of the concepts included in this paper have been presented by the author in seminars as a part of an Allergan Medical Institute educational series, and images used in Fig. 1 have been included in Allergan’s medical education materials.
This article does not contain any studies with human participants or animals performed by the author.
Informed consent is not required for this type of study.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
About this article
Cite this article
de Maio, M. MD Codes™: A Methodological Approach to Facial Aesthetic Treatment with Injectable Hyaluronic Acid Fillers. Aesth Plast Surg 45, 690–709 (2021). https://doi.org/10.1007/s00266-020-01762-7