Cross-sectional data show that post-traumatic stress disorder (PTSD) patients often have increased levels of circulating inflammatory markers. There is, however, still a paucity of longitudinal studies with long follow-up times on levels of cytokines in such patients. The current study assesses patients with and without PTSD diagnosis 1 year after discharge from inpatient treatment.

Patients in treatment for serious non-psychotic mental disorders were recruited at the beginning of their treatment stay at a psychiatric centre in Norway. Ninety patients submitted serum samples and filled out the Hopkins Symptom Checklist-90 Revised Global Severity Index (HSCL-90R GSI) questionnaire during their mainstay and at a follow-up stay 1 year after discharge. Of these patients, 33 were diagnosed with PTSD, 48 with anxiety, depression, or eating disorder, while 9 patients had missing data. The patients were diagnosed using the Mini-International Neuropsychiatric Interview (MINI).

At the follow-up stay (T3), PTSD patients had higher levels of GSI scores than non-PTSD patients (p = 0.048). These levels were unchanged from the year before (T2) in both groups. The levels of circulating cytokines/chemokine did not differ between the PTSD and non-PTSD patients at T3. At T2, however, the PTSD and non-PTSD groups exhibited different levels of interleukin 1β (IL-1β) (p = 0.053), IL-1RA (p = 0.042), and TNF-α (p = 0.037), with the PTSD patients having the higher levels.

Despite exhibiting different mental distress scores, the PTSD and non-PTSD patients did not differ regarding levels of circulating inflammatory markers at 1-year follow-up.

Cross-sectional data show elevated levels of circulating cytokines in psychiatric patients. The literature is divided concerning anti-inflammatory drugs’ ability to relieve symptoms, questioning a causal link between inflammatory pathways and psychiatric conditions. We hypothesised that the development of circulating cytokine levels is related to mental distress, and that this relationship is affected by the use of anti-inflammatory drugs.

The study was a longitudinal assessment of 12-week inpatient treatment at Modum Bad Psychiatric Center, Norway. Sera and self-reported Global Severity Index (GSI) scores, which measure psychological distress, were collected at admission (T0), halfway (T1) and before discharge (T2). Other variables known to distort the neuroimmune interplay were included. These were age, gender, diagnosis of PTSD, antidepressants and anti-inflammatory drugs. A total of 128 patients (92 women and 36 men) were included, and 28 were using anti-inflammatory medication. Multilevel modelling was used for data analysis.

Patients with higher levels of IL-1RA and MCP-1 had higher GSI scores (p = 0.005 and p = 0.020). PTSD patients scored higher on GSI than non-PTSD patients (p = 0.002). These relationships were mostly present among those not using anti-inflammatory drugs (n = 99), with higher levels of IL-1RA and MCP-1 being related to higher GSI score (p = 0.023 and 0.018, respectively). Again, PTSD patients showed higher GSI levels than non-PTSD patients (p = 0.014).

Cytokine levels were associated with level of mental distress as measured by the GSI scores, but this relationship was not present among those using anti-inflammatory drugs. We found no association between cytokine levels and development of GSI score over time.

Polypharmacy is common among older persons who are also vulnerable to side effects. We aimed to characterize patients who on admission to a geriatric psychiatric hospital had major medication side effects interfering with daily performance.

Cross-sectional cohort study of patients consecutively admitted to a geriatric psychiatric hospital from 2006, 06 December to 2008, 24 October. The UKU side effect rating scale was performed, and patients were divided into those with no/minor side effects versus those with major side effects. Blood levels of 56 psychotropic drugs and 27 safety laboratory tests were measured upon admission.

Of 206 patients included in the analysis, 70 (34%) had major side effects related to drug treatment. The most frequent side effects were asthenia (31%), reduced salivation (31%), concentration difficulties (28%), memory impairment (24%), and orthostatic dizziness (18%). The significant characteristics predicting major side effects were female gender (OR = 2.4, 95% confidence interval (CI) = 1.1–5.5), main diagnosis of affective disorder (OR = 4.3, 95% CI = 1.5–12.3), unreported use of psychotropic medications (OR = 2.0, 95% CI = 1.0–4.1), a higher number of reported psychotropic medications (OR = 1.7, 95% CI = 1.2–2.3), a higher number of reported medications for somatic disorders (OR = 1.2, 95% CI = 1.1–1.5), and a higher score on the Charlson comorbidity index (OR = 1.2, 95% CI = 1.0–1.4) (r2 = 0.238, p < 0.001).

Clinicians should be especially aware of side effects related to drug treatment in geriatric psychiatric female patients with a high use of psychotropic and other medications and somatic comorbidity. Unreported use of psychotropic medications was also related to the risk for side effects, and clinicians should make an effort to ascertain all medications taken by geriatric psychiatric patients.