Journal of evaluation in clinical practice
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Converging and accumulating evidence for the cross-communication among the nervous, immune, and endocrine systems, a field of study known as psychoneuroimmunology, implicates immunological dysfunction as a shared and common mechanism of both mental and physical illness. For example, psychiatric disorders like schizophrenia, bipolar disorder, major depression, and anxiety disorders have higher prevalence rates across a spectrum of autoimmune conditions compared to the general population. Additionally, subclinical immunological abnormalities are observed in a variety of psychiatric conditions, with chronic inflammation most extensively studied in the pathophysiology of depression. These observations blur the historical distinctions between mental and physical illness, yet clinical practice remains fragmented and primarily focused on differentially treating individual symptoms. ⋯ Utilizing a psychoneuroimmunological lens, health psychologists and clinicians can reconceptualize healthcare through integrative treatment approaches and advocacy for comprehensive policy-level reform at both the individual-level of care as well as community-wide prevention approaches.
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Despite research being done on spinal tuberculosis, diagnosing this condition at an early stage remains problematic due to its insidious onset and the varying symptoms being associated. Most individuals present to the health care facility with either simple back pain at an early stage or neurological complications at a later stage, when spinal compression and vertebral collapse have occurred as a result of delayed diagnosis. The prevention of secondary complications is therefore dependent on early recognition and diagnosis. The objective of this review was to identify common clinical patterns in case presentations and develop an evidence-based clinical guidance tool to assist clinicians in the early identification of spinal tuberculosis. ⋯ Through the use of an evidence-based clinical guidance tool, the clinician could be guided in the early suspicion and management of individuals with spinal tuberculosis and prevention of secondary complications.
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Our purpose is to assess epidemiological agent-based models-or ABMs-of the SARS-CoV-2 pandemic methodologically. The rapid spread of the outbreak requires fast-paced decision-making regarding mitigation measures. However, the evidence for the efficacy of non-pharmaceutical interventions such as imposed social distancing and school or workplace closures is scarce: few observational studies use quasi-experimental research designs, and conducting randomized controlled trials seems infeasible. Additionally, evidence from the previous coronavirus outbreaks of SARS and MERS lacks external validity, given the significant differences in contagiousness of those pathogens relative to SARS-CoV-2. To address the pressing policy questions that have emerged as a result of COVID-19, epidemiologists have produced numerous models that range from simple compartmental models to highly advanced agent-based models. These models have been criticized for involving simplifications and lacking empirical support for their assumptions. ⋯ Given this, we claim that the best epidemiological ABMs are models of actual mechanisms and deliver both mechanistic and difference-making evidence. Consequently, they may also adequately describe the effects of possible interventions. Finally, we discuss the limitations of ABMs and put forward policy recommendations.
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Postoperative respiratory failure after cardiac surgery (CS-PRF) is a devastating complication and its incidence and predictors vary depending on how it is defined and the patient population. ⋯ Knowledge of predictors for CS-PRF may help identify patients who are at risk for this complication and who may benefit from preventive measures to promote early extubation and to avert reintubation.