A Poor Definition

Semantically, we argue that borrowing the term “treatment resistance” from infectious and neoplastic diseases is an inconsistent approach. It is not necessarily the same picture as is seen in depressive disorders; apart from the intrinsic resistance that predates antimicrobial agents and chemotherapy, resistance can be something that is evolved, and something that a biological system further acquires and develops over time to act more competent to escape various treatment modalities. It is not a one-off phenomenon, but something that can potentially be unquenchable as a coping mechanism. Moreover, the definition of TRD has relied on having at least two failed treatment responses (considering adequate dosing and optimal time course), which is a rich source of controversies and active debates [Reference Rush, Sackeim, Conway, Bunker, Hollon and Demyttenaere4, Reference Gaynes, Lux, Gartlehner, Asher, Forman-Hoffman and Green8] (in Box 1 we have raised some questions that subsume several drawbacks of this terminology). Such ambiguities and shortcomings in fully addressing this group of people with depression keep us in a slough of unsatisfactory and insufficient management of several cases with depressive disorders and have hampered our progress toward a radical breakthrough.

Another issue is that almost all pharmacological armamentaria we boast in our arsenal have not targeted distinct biological systems since the initial discovery. It is not cogent to expect a “miracle” after a failure in response to almost similar treatments. Thus, we may need to ponder that the disease might not be resistant per se. With the advent of novel antidepressants with diverse mechanisms of action, we might be able to see a significant portion of TRD patients respond well to the treatment, as it often is the case for multitargeted interventions, such as electroconvulsive therapy, and ketamine.

To move one step further and come up with a solution, we here suggest supplanting this term with quasi-tenacious depression (QTD) that, unlike TRD or DTD, does not convey a negative impression and suggests a dynamic phenomenon.

In this model, basically, there is no absolute resistance or difficulty, but a degree of tenacity could be depicted as a ground that renders approaching the disorder more appropriately.

Besides, those who respond well to the treatment or spontaneously remit also have some degree of tenacity.

QTD implies that sometimes the disorder may seem tenacious, but in reality, it is not. The current approach to diagnosing patients is solely based on descriptive data (psychiatric interviews with patients and their relatives and clinical observation), rather than quantifiable measures (brain scans, blood samples, etc.), that specifically relate to the etiology and pathology of the underlying disorder. Therefore, differentiating between whether the complexion is the actual manifestation of a mental illness or the consequence or the effect of another masked etiology is intricate. As a consequence, the tenacity observed could be a result of either misdiagnosis, the true nature of the disorder, a personalized manifestation of the disease itself, patients’ pharmacogenomics, improper choice of pharmacotherapy, lack of therapeutic interventions, patients being nonadherent, protracted presence of a stressor (traumas, social-related contexts, dysfunctionalities, etc.), accompanied possible comorbidities (both somatic and psychiatric), patient’s school of thoughts, the currently used rating scales, or finally the disease classification system that might intrinsically lead to a misconstrued diagnosis [Reference Rush, Aaronson and Demyttenaere7, Reference Fava, Cosci, Guidi and Rafanelli10].

A New Paradigm

We propose a new concept, the tenacity index (TI), which can be defined as a magnitude of potential barriers and the degree to which a depressed patient might “seem” tenacious to respond to a particular treatment strategy to get a treatment response (an aspiration that is theoretically always achievable). Importantly, it is of note to mention that for the sake of clarity and simplification we have used, in the following, an analogy, and we, by no means, intend to compare a chemical reaction with a psychiatric illness.

Using this concept, as depicted in Figure 1, the TI can be analogized to the activation energy (E_a) of a chemical reaction describing the amount of energy required to reach the transition state. Accordingly, the current status of a patient in the depressed state can be analogized to the reactants and the patient’s estimated/expected resolution status to the products. The transition state theory states that once the reactants pass through the transition state, the reaction continues to make products. In this analogy, QTD is like endergonic reactions where the E_a (TI) is high, and to attain the transition state where remission is likely to be gained, use of the best suitable catalyst (proper use of armamentaria) to transcend the E_a (TI) is needed. As each patient is a unique individual (having different initial state energy), it is, therefore, necessary to set the ambition to a level to be able to overcome the TI, in order to achieve a complete remission and recovery with no functional and cognitive impairments. Theoretically, these Utopias are all attainable but the treatment strategy (catalyst) needed to be employed in order to push the reaction along by reducing the TI (E_a), matters the most. Like what is observed in exergonic reactions (less E_a), a patient can be seen either remitting spontaneously or responding straightforwardly to an antidepressant. However, it is noteworthy that akin to a catalyst that can only reduce the E_a and not change the initial and final energy states of the reactants and products, a chosen treatment strategy merely dwindles the TI. It can alter neither the initial state of a depressed patient nor the final state of a treatment outcome, so it is considered a state function. It is also conferred that, unlike the treatment guidelines, in case of approaching a patient with a high index of tenacity, it is not necessary to wait for two failed treatment trials to start the available last resort of pharmacotherapy, given that the TI (E_a) is what that should be undertaken.

Figure 1.

A schematic analogy between the tenacity index and activation energy for elucidation of the concept.

To complete this scenario, we would also like to add three more complementary factors into the equation: The rate to remission (R_m), the rate to relapse (R_l), and the ratio of R_m to R_l (RR). With these additional determinants, the likelihood of whether a patient is to relapse (a shift of the equilibrium toward the opposite direction), how fast remission can be achieved, and how the process (reaction) best can be speeded up by using different treatment modalities (catalysts) through a cost–benefit approach are predicted. The equilibrium shift to the relapse side can be due to a change in the equilibrium conditions; it might not be entirely avoidable but should be predicted and counteracted to reduce its effect.

We suggest that the TI can be a valuable concept to quantify the heterogeneity of depression, predict the outcome of a particular treatment, and improve treatment choice. To measure or estimate it, attention to the vital contributing elements needs to be given in a systematic manner, for example, the age and body surface area of the patient, the age at the onset of the disease, the duration, and pattern of the episodes, the chronicity of the disorder, core symptoms exhibited, the severity of each affected domain, the advent and the order of appearance of symptoms manifested and resolved, possible general medical comorbidities, possible psychiatric comorbidities, the severity of the disorder, genetics, and pharmacogenomic features, prior response to different treatment options (pharmacological/psychological/brain stimulation), the likelihood of polypharmacy, presence of persistent functional impairment even after remission, depression in the context of bipolarity, exposure to early life stressful events or trauma, depression subtypes and specifiers (atypical, melancholic, mixed, anxious, etc.), familial history, history or current suicidal ideation/attempts, and self-mutilation are some examples [Reference Rush, Aaronson and Demyttenaere7, Reference Fava, Cosci, Guidi and Rafanelli10].

Clinical and Preclinical Upshots: What Needs to be Done?

Though the concept of QTD is only some initial thoughts, we believe that such an amendment may leave a significant impact. In a clinical context, it is one step closer to personalized psychiatry. QTD transfers a positive and flexible idea to the patients and healthcare providers. It promulgates that even full recovery is achievable with an apposite predictive tool and a proper treatment strategy. In patients with higher TI, since we currently want for a breadth of armamentaria to overcome that TI, we might suffice to achieve a partial resolution of symptoms balanced with an optimal quality of life (like the strategies already used in other disciplines of medicine, e.g., in the management of diabetes, neurological or inflammatory disorders). However, QTD underscores an incessant endeavor for a quenchless search and pursuit of the Utopia. In addition, QTD would not lead to diagnostic inflation [Reference Cosgrove, Naudet, Högberg, Shaughnessy and Cristea5] but instead would attempt to look at each patient as an individual in the broad concept of depressive disorders.

As a future perspective, comprehensive clinical studies could aim first to rule out the contaminating factors [Reference McAllister-Williams, Arango, Blier, Demyttenaere, Falkai and Gorwood6] and then attribute a value to the contributing elements of the TI [Reference Malhi, Parker, Crawford, Wilhelm and Mitchell11] in prospective or retrospective studies. Such an endeavor might lead to a new perspective regarding our understanding of mood disorders. It also points to an essential need for a dynamic framework to improve our classification system (categorizing patients based on their TI) and treatment strategies (setting about a treatment modality hinging on the TI) toward refining available guidelines. Such slant helps enroll more homogenous samples of depressed patients in the clinical trials by quantifying the determinants and emphasizing the Research Domain Criteria (RDoC) approach; hence it can facilitate the transition of research “from bed to bedside.”