Association between neutrophil to lymphocyte ratio and inflammatory biomarkers in patients with a first episode of psychosis.

Neutrophil to lymphocyte ratio (NLR) has been proposed as an emerging marker of the immune system alterations in psychotic disorders. However, it is not entirely clear whether NLR elevation is a characteristic of the psychotic disorder itself, which inflammatory pathways activation is detecting, or which possible confounding variables could alter its interpretation. We aimed to analyze the relationship of NLR values with a panel of inflammatory and oxidative/nitrosative stress biomarkers and main potential confounding factors in a well-characterized cohort of 97 patients with a first episode of psychosis (FEP) and 77 matched healthy controls (HC). In the FEP group, NLR values presented a moderate, positive correlation with the pro-inflammatory mediator Prostaglandin E2 levels (r = 0.36, p < 0.001) and a small but significant, positive correlation with cannabis use (r = 0.25, p = 0.017). After controlling for cannabis use, the association between NLR and PGE2 remained significant (beta = 0.31, p = 0.012). In the HC group, NLR values negatively correlated with body mass index (BMI, r = -0.24, p = 0.035) and positively correlated with tobacco use (r = 0.25, p = 0.031). These findings support a relationship between the elevation of NLR values and an elevated expression of proinflammatory pathways related to stress response in patients with a FEP. In addition, our study highlights the importance of considering variables such as cannabis or tobacco consumption, and BMI when interpreting the results of studies aimed to establish a clinical use of NLR. These considerations may help future research to use NLR as a reliable biomarker to determine immune system status in this population.

Cardiovascular Risk in Early Psychosis: Relationship with Inflammation and Clinical Features 6 Months after Diagnosis.

Background: We aimed to investigate the state of cardiovascular risk/protection factors in early psychosis patients. Methods: A total 119 subjects were recruited during the first year after their first episode of psychosis. Eighty-five of these subjects were followed during the next 6 months. Cardiovascular risk/protection factors were measured in plasma and co-variated by sociodemographic/clinical characteristics. Multiple linear regression models detected the change of each biological marker from baseline to follow-up in relation to clinical scales, antipsychotic medication, and pro-/antiinflammatory mediators. Results: Glycosylated hemoglobin is a state biomarker in first episode of psychosis follow-up patients and inversely correlated to the Global Assessment of Functioning scale. We found opposite alterations in the levels of VCAM-1 and E-selectin in first episode of psychosis baseline conditions compared with control that were absent in the first episode of psychosis follow-up group. Adiponectin levels decreased in a continuum in both pathological time points studied. E-Selectin plasma levels were inversely related to total antipsychotic equivalents and adiponectin levels inversely co-related to the Global Assessment of Functioning scale. Finally, adiponectin levels were directly related to antiinflammatory nuclear receptor PPARγ expression in first episode of psychosis baseline conditions and to proinflammatory nuclear factor nuclear factor κB activity in follow-up conditions, respectively. Conclusions: Our results support the need for integrating cardiovascular healthcare very early after the first episode of psychosis.

Complexity Prediction Instrument to detect 'complex cases' in respiratory wards: instrument development.

AIM: This paper is a report of a study to test the hypothesis that the Spanish version of the Complexity Prediction Instrument is a reliable and valid measure of complexity of patients with respiratory disease and to identify the frequency of positive indicators of potential complexity. BACKGROUND: Respiratory patients are often disabled and severely ill, with co-morbid physical conditions and associated psychosocial problems and need complex nursing care. METHOD: Trained nurses assessed 299 consecutive adult patients admitted to a respiratory service in Spain from May 2003 until June 2004 with the new, Spanish version of the instrument. Criterion-related validity was tested by studying its ability to predict complexity of care in terms of: severity of illness, scored using the Cumulative Illness Rating Scale; length of hospital stay; 'multiple consultations' during admission; and 'multiple specialists' after discharge. FINDINGS: The hypothesis was supported: patients rating above the standard cut-off point on the Complexity Prediction Instrument scored statistically significantly higher on most of the measures of care complexity studied. Linear regression models showed that the tool was associated with 'length of hospital stay', and predicted both 'multiple consultations' and 'multiple specialists', after controlling for potential confounders. The proportion of 'probable complex cases' was 59.5%. Five positive indicators of potential complexity had a frequency higher than 50%. CONCLUSION: The Complexity Prediction Instrument is reliable and valid in a new clinical area, respiratory disease. It may be used by nurses for the early prediction of complexity of care. International comparisons may be facilitated with this new Spanish version.