Chronic pain is an important problem after critical care admission. Estimates of the prevalence of chronic pain in the year after discharge range from 14% to 77% depending on the type of cohort, the ...tool used to measure pain, and the time point when pain was assessed. The majority of data available come from studies using health-related quality of life tools, although some have included pain-specific tools. Nociceptive, neuropathic, and nociplastic pain can occur in critical care survivors, but limited information about the aetiology, body site, and temporal trajectory of pain is currently available. Older age, pre-existing pain, and medical co-morbidity have been associated with pain after critical care admission. No trials were identified of interventions to target chronic pain in survivors specifically. Larger studies, using pain-specific tools, over an extended follow-up period are required to confirm the prevalence, identify risk factors, explore any association between acute and chronic pain in this setting, determine the underlying pathological mechanisms, and inform the development of future analgesic interventions.
Almost half of patients treated on intensive care unit (ICU) experience moderate to severe pain. Managing pain in the critically ill patient is challenging, as their pain is complex with multiple ...causes. Pharmacological treatment often focuses on opioids, and over a prolonged admission this can represent high cumulative doses which risk opioid dependence at discharge. Despite analgesia the incidence of chronic pain after treatment on ICU is high ranging from 33-73%. Measures need to be taken to prevent the transition from acute to chronic pain, whilst avoiding opioid overuse. This narrative review discusses preventive measures for the development of chronic pain in ICU patients. It considers a number of strategies that can be employed including non-opioid analgesics, regional analgesia, and non-pharmacological methods. We reason that individualized pain management plans should become the cornerstone for critically ill patients to facilitate physical and psychological well being after discharge from critical care and hospital.
The pupillary dilatation reflex may present an objective method of predicting whether sedated patients require additional analgesia for painful procedures. Behavioural pain assessment tools identify ...pain only once it has occurred and are unable to guide pre-emptive management. The pupillary dilatation reflex response to a tetanic stimulus has been utilised to assess analgesic requirements in patients under anaesthesia and for those with postoperative pain. This tool appears promising to assess pain in the critically ill; however, a number of questions remain unanswered regarding the influence of sedation on this response. These questions require further exploration before the pupillary dilatation reflex can be widely adopted into clinical practice.
To improve the treatment of painful Diabetic Peripheral Neuropathy (DPN) and associated co-morbidities, a better understanding of the pathophysiology and risk factors for painful DPN is required. ...Using harmonised cohorts (N = 1230) we have built models that classify painful versus painless DPN using quality of life (EQ5D), lifestyle (smoking, alcohol consumption), demographics (age, gender), personality and psychology traits (anxiety, depression, personality traits), biochemical (HbA1c) and clinical variables (BMI, hospital stay and trauma at young age) as predictors.
The Random Forest, Adaptive Regression Splines and Naive Bayes machine learning models were trained for classifying painful/painless DPN. Their performance was estimated using cross-validation in large cross-sectional cohorts (N = 935) and externally validated in a large population-based cohort (N = 295). Variables were ranked for importance using model specific metrics and marginal effects of predictors were aggregated and assessed at the global level. Model selection was carried out using the Mathews Correlation Coefficient (MCC) and model performance was quantified in the validation set using MCC, the area under the precision/recall curve (AUPRC) and accuracy.
Random Forest (MCC = 0.28, AUPRC = 0.76) and Adaptive Regression Splines (MCC = 0.29, AUPRC = 0.77) were the best performing models and showed the smallest reduction in performance between the training and validation dataset. EQ5D index, the 10-item personality dimensions, HbA1c, Depression and Anxiety t-scores, age and Body Mass Index were consistently amongst the most powerful predictors in classifying painful vs painless DPN.
Machine learning models trained on large cross-sectional cohorts were able to accurately classify painful or painless DPN on an independent population-based dataset. Painful DPN is associated with more depression, anxiety and certain personality traits. It is also associated with poorer self-reported quality of life, younger age, poor glucose control and high Body Mass Index (BMI). The models showed good performance in realistic conditions in the presence of missing values and noisy datasets. These models can be used either in the clinical context to assist patient stratification based on the risk of painful DPN or return broad risk categories based on user input. Model's performance and calibration suggest that in both cases they could potentially improve diagnosis and outcomes by changing modifiable factors like BMI and HbA1c control and institute earlier preventive or supportive measures like psychological interventions.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Burn injury is a pathology underpinned by progressive and aberrant inflammation. It is a major clinical challenge to survival and quality of life. Although the complex local and disseminating ...pathological processes of a burn injury ultimately stem from local tissue damage, to date relatively few studies have attempted to characterise the local inflammatory mediator profile. Here, cytokine content and associated transcriptional changes were measured in rat skin for three hours immediately following induction of a scald-type (60°C, 2 min) burn injury model. Leptin (
=0.0002) and fractalkine (
=0.0478) concentrations were significantly elevated post-burn above pre-burn and control site values, coinciding with the development of burn site oedema and differential expression of leptin mRNA (
=0.0004). Further, gene sequencing enrichment analysis indicated cytokine-cytokine receptor interaction (
=1.45×10
). Subsequent behavioural studies demonstrated that, following subcutaneous injection into the dorsum of the paw, both leptin and fractalkine induced mechanical allodynia, heat hyperalgesia and the recruitment of macrophages. This is the first report of leptin elevation specifically at the burn site, and the first report of fractalkine elevation in any tissue post-burn which, together with the functional findings, calls for exploration of the influence of these cytokines on pain, inflammation and burn wound progression. In addition, targeting these signalling molecules represents a therapeutic potential as early formative mediators of these pathological processes.
Evaluation of effectiveness and efficiency should be an integral component of biodiversity conservation strategies. We used Cost-Utility Analysis (CUA) and Threat Reduction Assessment (TRA) to ...evaluate the effectiveness and efficiency of individual Species Action Plans (SAPs) with regard to improving conservation status and reducing threats within the UK Biodiversity Action Plan. Spending was highly biassed towards vertebrates, in particular mammals and birds. Of 38 fully-costed SAPs, the top five most expensive SAPs accounted for almost 80% of the total money spent. Just over half of the SAPs studied had improved the conservation status of the species concerned, and one third of SAPs achieved at least a 50% reduction in threats. SAP cost was significantly positively related to improvement in conservation status but unrelated to threat reduction for that species. Effectiveness and efficiency were significantly correlated with one another in terms of threat reduction for different species, but there was no correlation between effectiveness and efficiency in terms of improving conservation status. Although conservation decisions should not be made solely on the outcome of such analyses, CUA and TRA can provide an important contribution to the evidence base to inform the development of more effective and efficient conservation strategies.
► Spending within the UK Biodiversity Action Plan is biased heavily towards vertebrates. ► Under half of the species action plans have failed to improve species conservation status. ► More costly action plans result in greater improvement in conservation status. ► There is no relationship between action plan spend and threat reduction for individual species.
Opioid mechanisms and opioid drugs Laycock, Helen; Bantel, Carston
Anaesthesia and intensive care medicine,
August 2019, 2019-08-00, Letnik:
20, Številka:
8
Journal Article
Recenzirano
Opioids are effective in acute and cancer pain management and have increasingly been prescribed in chronic non-cancer pain despite concerns regarding long-term use and lack of efficacy. Opioid ...actions are via G protein coupled receptors, the activation of which leads to a variety of physiological consequences including analgesia. Prescribing opioids requires careful consideration of individual drug pharmacokinetics and pharmacodynamics, their actions across different physiological systems, side effect profiles and patient factors that influence the drug efficacy to ensure the best opioid is prescribed for each patient.
Burn injury can be a devastating traumatic injury, with long-term personal and social implications for the patient. The many complex local and disseminating pathological processes underlying burn ...injury’s clinical challenges are orchestrated from the site of injury and develop over time, yet few studies of the molecular basis of these mechanisms specifically explore the local signaling environment. Those that do are typically destructive in nature and preclude the collection of longitudinal temporal data. Burn injury therefore exemplifies a superficial temporally dynamic pathology for which experimental sampling typically prioritizes either specificity to the local burn site or continuous collection from circulation. Here, we present an exploratory approach to the targeted elucidation of complex, local, acutely temporally dynamic interstitia through its application to burn injury. Subcutaneous microdialysis is coupled with ultraperformance liquid chromatography–mass spectrometry (UPLC–MS) analysis, permitting the application of high-throughput metabolomic profiling to samples collected both continuously and specifically from the burn site. We demonstrate this workflow’s high yield of burn-altered metabolites including the complete structural elucidation of niacinamide and uric acid, two compounds potentially involved in the pathology of burn injury. Further understanding the metabolic changes induced by burn injury will help to guide therapeutic intervention in the future. This approach is equally applicable to the analysis of other tissues and pathological conditions, so it may further improve our understanding of the metabolic changes underlying a wide variety of pathological processes.