Evaluating Prevalence and Patterns of Prescribing Medications for Depression for Patients With Obesity Using Large Primary Care Data (Canadian Primary Care Sentinel Surveillance Network)

Obesity bias: How can this underestimated problem affect medical decisions in healthcare? A systematic review

INTRODUCTION

Obesity is often labeled as a physical characteristic of a patient rather than a disease and it is subject to obesity bias by health providers, which harms the equality of healthcare in this population.

OBJECTIVE

Identifying whether obesity bias interferes in clinical decision-making in the treatment of patients with obesity.

METHODS

A systematic review of observational studies published between 1993 and 2023 in MEDLINE, Embase, and Cochrane Library on obesity bias and therapeutic decisions was carried out. The last search was conducted on June 30, 2023. The main outcome was the difference between clinical decisions in the treatment of individuals with and without obesity. The Newcastle-Ottawa scale for observational studies was used to assess for quality. After the selection process, articles were presented in narrative and thematic synthesis categories to better organize the descriptive analysis.

RESULTS

Of the 2546 records identified, 13 were included. The findings showed fewer screening exams for cancer in patients with obesity, who were also susceptible to less frequent pharmacological treatment intensification in the management of diabetes. Women with obesity received fewer pelvic exams and evidence of diminished visual contact and physician confidence in treatment adherence was reported. Some studies found no disparities in treatment for abdominal pain and tension headaches between patients presented with and without obesity.

CONCLUSION

The presence of obesity bias has negative effects on medical decision-making and on the quality of care provided to patients with obesity. These findings reveal the urgent necessity for reflection and development of strategies to mitigate its adverse impacts. (The protocol was registered with the international prospective register of systematic reviews, PROSPERO, under the number CRD42022307567).

Changes of gut microbiota reflect the severity of major depressive disorder: a cross sectional study

Disturbed gut microbiota is a potential factor in the pathogenesis of major depressive disorder (MDD), yet whether gut microbiota dysbiosis is associated with the severity of MDD remains unclear. Here, we performed shotgun metagenomic profiling of cross-sectional stool samples from MDD (n = 138) and healthy controls (n = 155). The patients with MDD were divided into three groups according to Hamilton Depression Rating Scale 17 (HAMD-17), including mild (n = 24), moderate (n = 72) and severe (n = 42) individuals, respectively. We found that microbial diversity was closely related to the severity of MDD. Compared to HCs, the abundance of Bacteroides was significantly increased in both moderate and severe MDD, while Ruminococcus and Eubacterium depleted mainly in severe group. In addition, we identified 99 bacteria species specific to severity of depression. Furthermore, a panel of microbiota marker comprising of 37 bacteria species enabled to effectively distinguish MDD patients with different severity. Together, we identified different perturbation patterns of gut microbiota in mild-to-severe depression, and identified potential diagnostic and therapeutic targets.

Difference in patterns of prescribing antidepressants known for their weight-modulating and cardiovascular side effects for patients with obesity compared to patients with normal weight

BACKGROUND

Patients with depression and comorbid obesity may be more prone to weight modulating and cardiovascular side effects of selected antidepressants (AD). It is important to ascertain whether these AD prescriptions differ by patient weight status.

METHODS

Canadian Primary Care Sentinel Surveillance Network (CPCSSN) electronic medical records were used. Participants were adults with depression prescribed an AD in 2000-2016, with weight categories established before the first prescription. Logistic regression and mixed effects models were applied to examine associations between obesity and AD prescribing, adjusted for sex, age, and comorbidities. Machine learning algorithm random forest (RF) was used to evaluate the importance of weight in predicting prescribing patterns.

RESULTS

Of 26,571 participants, 72.4% were women, mean age was 38.9 years (standard deviation (SD)=14.2) and mean BMI 27.0 kg/m² (SD = 6.5); 9.5% had ≥ 1 comorbidity. Patients with obesity, compared to normal weight patients, were more likely to receive bupropion (adjusted odds ratio (aOR) 1.24, 95%CI: 1.09,1.42), fluoxetine (aOR 1.14, 95%CI: 0.97,1.34), and amitriptyline (aOR 1.13, 95%CI: 0.93,1.36), and less likely to receive mirtazapine (aOR 0.55, 95%CI: 0.44,0.68) and escitalopram (aOR 0.88, 95%CI: 0.80, 0.97). RF analysis showed that weight was among the most important predictors of prescribing patterns, equivalent to age and more important than sex.

CONCLUSIONS

AD prescribing patterns for patients with obesity appear to be different for selected AD types, including AD known for their weight-modulating and cardiovascular side effects. Longitudinal studies are needed to examine whether these prescribing patterns are associated with significant health outcomes.

Kefir and Intestinal Microbiota Modulation: Implications in Human Health

In the last decades changes in the pattern of health and disease in Latin America and in the world has been observed, with an increase in cases of chronic non-communicable diseases. Changes in intestinal microbiota composition can contribute to the development of these diseases and be useful in their management. In this context, the consumption of fermented foods with probiotic properties, such as kefir, stands out due to its gut microbiota-modulating capacity. There is an increasing interest in the commercial use of kefir since it can be marketed as a natural beverage containing health-promoting bacteria and has been gaining international popularity in Latin America. Also the consumption of these drinks in Latin America seems to be even more relevant, given the socioeconomic situation of this population, which highlights the need for disease prevention at the expense of its treatment. In this narrative review, we discuss how kefir may work against obesity, diabetes mellitus, liver disease, cardiovascular disorders, immunity, and neurological disorders. Peptides, bioactive compounds and strains occurring in kefir, can modulate gut microbiota composition, low-grade inflammation and intestinal permeability, which consequently may generate health benefits. Kefir can also impact on the regulation of organism homeostasis, with a direct effect on the gut-brain axis, being a possible strategy for the prevention of metabolic diseases. Further studies are needed to standardize these bioactive compounds and better elucidate the mechanisms linking kefir and intestinal microbiota modulation. However, due to the benefits reported, low cost and ease of preparation, kefir seems to be a promising approach to prevent and manage microbiota-related diseases in Latin America and the rest of the world.