The Biological and Biographical Basis of Precision Medicine

Diagnosis and management of bipolar disorders

Bipolar disorders (BDs) are recurrent and sometimes chronic disorders of mood that affect around 2% of the world's population and encompass a spectrum between severe elevated and excitable mood states (mania) to the dysphoria, low energy, and despondency of depressive episodes. The illness commonly starts in young adults and is a leading cause of disability and premature mortality. The clinical manifestations of bipolar disorder can be markedly varied between and within individuals across their lifespan. Early diagnosis is challenging and misdiagnoses are frequent, potentially resulting in missed early intervention and increasing the risk of iatrogenic harm. Over 15 approved treatments exist for the various phases of bipolar disorder, but outcomes are often suboptimal owing to insufficient efficacy, side effects, or lack of availability. Lithium, the first approved treatment for bipolar disorder, continues to be the most effective drug overall, although full remission is only seen in a subset of patients. Newer atypical antipsychotics are increasingly being found to be effective in the treatment of bipolar depression; however, their long term tolerability and safety are uncertain. For many with bipolar disorder, combination therapy and adjunctive psychotherapy might be necessary to treat symptoms across different phases of illness. Several classes of medications exist for treating bipolar disorder but predicting which medication is likely to be most effective or tolerable is not yet possible. As pathophysiological insights into the causes of bipolar disorders are revealed, a new era of targeted treatments aimed at causal mechanisms, be they pharmacological or psychosocial, will hopefully be developed. For the time being, however, clinical judgment, shared decision making, and empirical follow-up remain essential elements of clinical care. This review provides an overview of the clinical features, diagnostic subtypes, and major treatment modalities available to treat people with bipolar disorder, highlighting recent advances and ongoing therapeutic challenges.

Guiding principles for the responsible development of artificial intelligence tools for healthcare

Several principles have been proposed to improve use of artificial intelligence (AI) in healthcare, but the need for AI to improve longstanding healthcare challenges has not been sufficiently emphasized. We propose that AI should be designed to alleviate health disparities, report clinically meaningful outcomes, reduce overdiagnosis and overtreatment, have high healthcare value, consider biographical drivers of health, be easily tailored to the local population, promote a learning healthcare system, and facilitate shared decision-making. These principles are illustrated by examples from breast cancer research and we provide questions that can be used by AI developers when applying each principle to their work.

Long COVID and Medicine's Two Cultures

Medicine has separated the two cultures of biological science and social science in research, even though they are intimately connected in the lives of our patients. To understand the cause, progression, and treatment of long COVID , biology and biography, the patient's lived experience, must be studied together.

Alternative Diagnostic Models of the Psychotic Disorders: Evidence-Based Choices

Standard diagnostic systems, the predominantly categorical DSM-5 and ICD-11, have limitations in validity, utility, and predictive and descriptive power. For psychotic disorders, these issues were partly addressed in current versions, but additional modifications are thought to be needed. Changes should be evidence based. We reviewed categorical, modified-categorical, and continuum-based models versus factor-based models of psychosis. Factors are clusters of symptoms or single prominent aspects of illness. Consistent evidence from studies of the genetics, pathobiology, and clinical presentation of psychotic disorders all support an underlying structure of factors, not categories, as best characterizing psychoses. Factors are not only the best fit but also comprehensive, as they can encompass any key feature of illness, including symptoms and course, as well as determinants of risk or response. Factors are inherently dimensional, even multidimensional, as are the psychoses themselves, and they provide the detail needed for either grouping or distinguishing patients for treatment decisions. The tools for making factor-based diagnoses are available, reliable, and concordant with actual practices used for clinical assessments. If needed, factors can be employed to create categories similar to those in current use. In addition, they can be used to define unique groupings of patients relevant to specific treatments or studies of the psychoses. Lastly, factor-based classifications are concordant with other comprehensive approaches to psychiatric nosology, including personalized (precision treatment) models and hierarchical models, both of which are currently being explored. Factors might be considered as the right primary structural choice for future versions of standard diagnostic systems, both DSM and ICD.

Prodromal Symptoms in Depression: A Systematic Review

INTRODUCTION

Appraisal of prodromal symptoms of unipolar depression may complement the traditional cross-sectional approach and provide a longitudinal perspective, according to a staging model of the illness.

OBJECTIVE

To provide an updated systematic review of clinical studies concerned with prodromal symptoms of unipolar depression, according to PRISMA guidelines.

METHODS

Keyword searches were conducted in PubMed, Scopus, and Web of Science. Longitudinal studies on prodromal symptoms and signs in adult patients primarily diagnosed with unipolar depression were selected. Findings were examined separately according to study design (i.e., retrospective or prospective).

RESULTS

Twenty-five studies met the criteria for inclusion in this systematic review. Findings indicate that a distinct prodromal symptomatology - commonly characterized by anxiety, tension, irritability, and somatic complaints - exists before the onset of unipolar depression. The duration of the prodromal phase was highly variable across studies, ranging from less than a month to several years. Prodromal symptoms profile and duration were consistent within individuals across depressive episodes. There was a close relationship between prodromal and residual symptoms of the same depressive episode.

CONCLUSIONS

The present systematic review addresses an important, and yet relatively neglected, clinical issue that deserves further investigation and may be of immediate practical value. The findings provide challenging insights into the pathogenesis and course of unipolar depression, which may result in more timely and effective treatment of recurrences. The definition of a prodromal phase in depression would benefit from the joint use of symptom identification, biomarkers, and neuroimaging.

Allostatic Load and Its Impact on Health: A Systematic Review

INTRODUCTION

Allostatic load refers to the cumulative burden of chronic stress and life events. It involves the interaction of different physiological systems at varying degrees of activity. When environmental challenges exceed the individual ability to cope, then allostatic overload ensues. Allostatic load is identified by the use of biomarkers and clinical criteria.

OBJECTIVE

To summarize the current knowledge on allostatic load and overload and its clinical implications based on a systematic review of the literature.

METHODS

PubMed, PsycINFO, Web of Science, and the Cochrane Library were searched from inception to December 2019. A manual search of the literature was also performed, and reference lists of the retrieved articles were examined.We considered only studies in which allostatic load or overload were adequately described and assessed in either clinical or non-clinical adult populations.

RESULTS

A total of 267 original investigations were included. They encompassed general population studies, as well as clinical studies on consequences of allostatic load/overload on both physical and mental health across a variety of settings.

CONCLUSIONS

The findings indicate that allostatic load and overload are associated with poorer health outcomes. Assessment of allostatic load provides support to the understanding of psychosocial determinants of health and lifestyle medicine. An integrated approach that includes both biological markers and clinimetric criteria is recommended.

When Anxiety and Depression Coexist: The Role of Differential Diagnosis Using Clinimetric Criteria

Depressive and anxiety disorders are frequently associated. Depression may be a complication of anxiety and anxiety can complicate depression. The nature of their relationship has been a source of controversy. Reviews generally base their conclusions on randomized controlled trials and meta-analyses that refer to the average patient and often clash with the variety of clinical presentations that may occur when anxiety and depression coexist. The aim of this review was to examine the literature according to profiling of subgroups of patients based on clinimetric criteria, in line with the recently developed concept of medicine-based evidence. We critically reviewed the literature pertaining to the specific presentations of anxiety and depression, outlining the advantages and disadvantages of each treatment approach. The following prototypic cases were presented: depression secondary to an active anxiety disorder, depression in patients with anxiety disorders under treatment, anxious depression, anxiety as a residual component of depression, and demoralization secondary to anxiety disorder. We argue that the selection of treatment when anxiety and depression coexist should take into account the modalities of presentation and be filtered by clinical judgment. Very different indications may ensue when the literature is examined according to this perspective.

Mental pain and pain-proneness in patients with migraine: results from the PAINMIG cohort-study

BACKGROUND

Pain has been qualified under four categories: nociception, perception of pain, suffering, and pain behaviors. Most of the literature on migraine has devoted attention to the first two. The aim of the present cohort study was to investigate patients with migraine enrolled at a tertiary care unit to study suffering and mental pain and identify potential risk factors for migraine.

METHODS

An observational cross-sectional study was carried out on patients with chronic migraine (CM) and episodic migraine (EM), and healthy subjects (HS). The three groups were matched for age and sex. A comprehensive assessment of migraine disability, pain, psychiatric disorders, psychosomatic syndromes, depressive and anxious symptoms, euthymia, psychosocial variables, mental pain, and pain-proneness (PP) was performed.

RESULTS

Three hundred subjects were enrolled (100 CM, 100 EM, and 100 HS). Based on the multiple regression analyses, those presenting PP (social impairment: odds ratio [OR] = 3.59, 95% confidence interval [CI] = 1.14-11.29; depressive symptoms: OR = 3.82, 95% CI = 1.74-8.41) were more likely to be CM than HS. Those with higher levels of PP (social impairment: OR = 4.04, 95% CI = 1.60-10.22; depressive symptoms: OR = 2.02, 95% CI = 1.26-3.24) were more likely to be EM than HS. Those presenting higher levels of mental pain were more likely to be CM than EM (OR = 1.45, 95% CI = 1.02-2.07).

CONCLUSION

Migraine is an unpleasant sensory and emotional experience associated with psychosocial manifestations that might contribute to the level of suffering of the individuals. Mental pain resulted to be the variable that most differentiated patients with CM from EM.

Exposure to serotonin selective reuptake inhibitors or serotonin noradrenaline reuptake inhibitors and sexual dysfunction: Results from an online survey

BACKGROUND: Post-SSRI Sexual Dysfunction (PSSD) is characterized by sexual and emotional symptoms associated to the exposure to Selective Serotonin Reuptake Inhibitors (SSRI) or Serotonin Noradrenaline Reuptake Inhibitors (SNRI). OBJECTIVE: The present study provides a comprehensive picture on demographic and clinical characteristics associated to PSSD. METHODS: An online survey was run on subjects self-declaring as affected by PSSD. The survey collected socio-demographic and clinical data via questions created ad hoc and three standardized scales (Arizona Sexual Experiences Scale, Hospital Anxiety and Depression Scale, World Health Organization Wellbeing Index). RESULTS: A total of 135 subjects (115 males; mean age 31.9 ± 8.9 years) was analysed. The syndrome was more represented among young, heterosexual males after the exposure to SSRI/SNRI at relatively high doses. The major findings involved the temporal sequence of symptoms: 118 subjects had symptoms both during and after SSRI/SNRI administration, and 17 only after, thus deposing for a iatrogenic action of SSRI/SNRI. Different variables, represented by both emotional and sexual symptoms, accounted for the variability of the severity of the sexual dysfunction as well as of wellbeing. CONCLUSIONS: Based on the present results, PSSD is a complex iatrogenic syndrome in need of being further studied and understood.

The Hamilton Rating Scales for Depression: A Critical Review of Clinimetric Properties of Different Versions

The format of the original Hamilton Rating Scale for Depression (HAM-D) was unstructured: only general instructions were provided for rating individual items. Over the years, a number of modified versions of the HAM-D have been proposed. They differ not only in the number of items, but also in modalities of administration. Structured versions, including item definitions, anchor points and semi-structured or structured interview questions, were developed. This comprehensive review was conducted to examine the clinimetric properties of the different versions of the HAM-D. The aim was to identify the HAM-D versions that best display the clinimetric properties of reliability, validity, and sensitivity to change. The search was conducted on MEDLINE, Scopus, Web of Science, and PubMed, and yielded a total of 35,473 citations, but only the most representative studies were included. The structured versions of the HAM-D were found to display the highest inter-rater and test-retest reliability. The Clinical Interview for Depression and the 6-item HAM-D showed the highest sensitivity in differentiating active treatment from placebo. The findings indicate that the HAM-D is a valid and sensitive clinimetric index, which should not be discarded in view of obsolete and not clinically relevant psychometric criteria. The HAM-D, however, requires an informed use: unstructured forms should be avoided and the type of HAM-D version that is selected should be specified in the registration of the study protocol and in the methods of the trial.