Marcelin, Alberto

Background:Individuals with personality disorders (PDs) are high utilizers of primary care and mental health services; however, they struggle to utilize the care effectively and studies have shown a strong association between having a PD and higher impairment in social role functioning. This is especially important because PDs are highly comorbid with a wide range of other mental health disorders. The collaborative care model (CCM) for depression was developed with an emphasis on patient engagement and aimed to reduce health care utilization, while improving treatment outcomes in primary care. We hypothesized that the diagnosis of a personality disorder in primary care patients will negatively affect 6-month depression outcomes after enrollment into a CCM. Methods: This retrospective chart review study was conducted on patients enrolled into CCM over a period of 7 years with collection of 6-month follow-up data. A total of 2826 patients were enrolled into CCM with a clinical diagnosis of depression and a baseline Patient Health Questionnaire–9 (PHQ-9) ≥10 were included in the study cohort. Using the depression database, baseline and 6-month follow-up data were obtained. Adjusted odds ratios (AORs) were determined for both remission and persistent depressive symptoms using logistic regression modeling for the 6-month PHQ-9 outcome; while retaining all the study variables. Results: Of the 2826 CCM patients with depression in our study, 216 (7.6%) were found to have a PD. Patients with PD were younger (37.7 vs 42.5 years, P < .001) and more likely to be unmarried (36.1% vs 55.6%, P < .001) than patients without a PD. While age, marital status, clinical diagnosis, and Mood Disorders Questionnaire (MDQ) score were significant predictors of remission; anxiety symptoms, gender, and race were not. The presence of a PD diagnosis was associated with a 60% lower likelihood of remission at 6 months (AOR = 0.39; 95% CI 0.28-0.54). Conversely, patients without a PD were 2.5 times as likely to experience remission at 6-month remission compared to patients with PD (AOR =2.57; 95% CI 1.85-3.56). Conclusion: Patients with a personality disorder were more likely to have a recurrent depressive disorder diagnosis, an abnormal MDQ score, increased anxiety symptoms, and higher baseline PHQ-9 score. Patients with PD had worse CCM outcomes at 6 months with only 25.0% able to achieve remission versus 54.3% ( P < .001) without a PD. The presence of a PD with depression was associated with poor outcomes (reduced remission rates and increased persistent depressive symptoms rates) in comparison to patients without a diagnosis of PD, while treated within CCM.

Posttraumatic stress disorder (PTSD) has symptoms that exist along a spectrum that includes depression and the 2 disorders may coexist. Collaborative care management (CCM) has been successfully used in outpatient mental health management (especially depression and anxiety) with favorable outcomes. Despite this, there exist limited data on clinical impact of a diagnosis of PTSD on depression outcomes in CCM. The present study used a retrospective cohort design to examine the association of PTSD with depression outcomes among 2121 adult patients involved in CCM in a primary care setting. Using standardized self-report measures, baseline depression scores and 6-month outcome scores were evaluated. Seventy-six patients had a diagnosis of PTSD documented in their electronic medical record. Patients with PTSD reported more severe depressive symptoms at baseline (Patient Health Questionnaire–9 score of 17.9 vs 15.4, P < .001) than those without PTSD. Controlling for sociodemographic and clinical characteristics, a clinical diagnosis of PTSD was associated with lower odds (AOR = 0.457, CI = 0.274-0.760, P = .003) of remission at 6 months and was also associated with higher odds (AOR = 3.112, CI = 1.921-5.041, P < .001) of persistent depressive symptoms at 6 months after CCM. When coexisting with depression, a diagnosis of PTSD was associated with worse depression outcomes, when managed with CCM in primary care. Opportunities still exist for more aggressive management of depression in these patients to help improve remission as well as reduce persistent depressive symptoms.

Purpose: Cellulitis in obese patients is associated with increased rates of treatment failure compared to those with normal body mass index (BMI); however, patients have not been extensively studied in the outpatient environment or stratified based on range of obesity and associated risk factors. This study looked at antibiotic dosing and treatment failure in the obese population from the primary care perspective and accounts for BMI range, weight, comorbid diabetes, and tobacco use. Methods: This study was a retrospective chart review of 637 adult primary care patients designed to evaluate rates of treatment failure of outpatient cellulitis among patients of varying BMI. Treatment failure was defined as ( a) hospital admission for intravenous antibiotics, ( b) prolonged antibiotic course, or ( c) requiring a different antibiotic after initial course. Results: Adverse outcomes were not statistically significant between normal BMI and those with BMI ≥40 kg/m 2 . A subset of patients with a BMI ≥50 kg/m 2 was noted to have approximately twice the rate of adverse outcomes as the normal BMI group. While controlling for age, gender, race, diagnosis of diabetes mellitus, and tobacco use, a BMI of ≥50 kg/m 2 and a weight ≥120 kg was associated with adverse outcomes with an odds ratio of 2.440 (95% CI, 1.260-4.724; P = .008) and 2.246 (95% CI, 1.154-4.369; P = .017), respectively. Conclusions: Patients with cellulitis weighing >120kg or with a BMI ≥50 kg/m 2 were at greatest risk for treatment failure in the outpatient setting, even when controlling for comorbid diabetes and tobacco use. As morbid obesity continues to become more prevalent, it becomes imperative that primary care physicians have better antibiotic dosing guidelines to account for the physiologic effects of obesity to minimize the risk of increased morbidity, health care costs, and antibiotic resistance.