Opportunities for Improving Post-Hospital Home Medication Management Among Older Adults

SUMMARY

Effective post-hospital home medication management among older adults is a convoluted, error-prone process. Older adults, whose complex medication regimens are often changed at hospital discharge, are susceptible to medication-related problems (e.g., Adverse Drug Events or ADEs) as they resume responsibility for managing their medications at home. Human error theory frames the discussion of multi-faceted, interacting factors including care system functions, like discharge medication teaching that contribute to post-hospital ADEs. The taxonomy and causes of post-hospital ADEs and related risk factors are reviewed, as we describe in high-risk older adults a population that may benefit from targeted interventions. Potential solutions and future research possibilities highlight the importance of interdisciplinary teams, involvement of clinical pharmacists, use of transitional care models, and improved use of informational technologies.     

血清可溶性CD44检测对急性髓系白血病的诊断分型价值研究

目的探讨血清可溶性CD44(solCD44)检测对于急性髓系白血病(AML)的临床诊断分型价值。方法选取2014年1月至2016年1月该院血液科收治的AML患者80例,包括初诊31例、复发24例、缓解25例。同期健康体检者40例为对照组。检测比较各组患者的血清solCD44std、solCD44v5、solCD44v6水平变化。结果 AML患者的血清solCD44s、solCD44v5、solCD44v6水平在初诊、复发组中显著高于缓解组及对照组(P0.05),而缓解组与对照组比较差异无统计学意义(P0.05);不同FAB分型(M1+M2)、M3、M4、M5的血清solCD44std、solCD44v5、solCD44v6水平比较差异有统计学意义,且M3型显著高于非M3型(P0.05)。结论血清solCD44尤其是solCD44std水平与AML患者病情活动变化密切相关,可作为AML的诊断分型、预后判断及复发预测的血清学参考指标。     

Evaluating the impact of a pharmacist-led prescribing feedback intervention on prescribing errors in a hospital setting

BackgroundPrescribing errors are prevalent in hospital settings with provision of feedback recommended to support prescribing of doctors. Feedback on prescribing has been described as feasible and valued but limited by doctors, with pharmacists described as credible facilitators of prescribing feedback. Evidence supporting prescribing feedback has been limited to date. A formalised programme of pharmacist-led prescribing error feedback was designed and implemented to support prescribers.ObjectiveTo evaluate the impact of a prescribing feedback intervention on prescribing error rates and frequency of prescribing error severity and type.MethodProspective prescribing audits were undertaken across sixteen hospital wards in a UK teaching hospital over a five day period with 36 prescribers in the intervention group and 41 in the control group. The intervention group received pharmacist-led, individualised constructive feedback on their prescribing, whilst the control group continued with existing practice. Prescribing was re-audited after three months. Prescribing errors were classified by type and severity and data were analysed using relevant statistical tests.ResultsA total of 5191 prescribed medications were audited at baseline and 5122 post-intervention. There was a mean prescribing error rate of 25.0% (SD 16.8, 95% CI 19.3 to 30.7) at baseline and 6.7% (SD 9.0, 95% CI 3.7 to 9.8) post-intervention for the intervention group, and 19.7% (SD 14.5, 95% CI 15.2 to 24.3) at baseline and 25.1% (SD 17.0, 95% CI 19.8 to 30.6) post-intervention for the control group with a significant overall change in prescribing error rates between groups of 23.7% (SD 3.5, 95% CI, ?30.6 to ?16.8), t(75) = ?6.9, p < 0.05. The frequency of each error type and severity rating was reduced in the intervention group, whilst the error frequency of some error types and severity increased in the control group.ConclusionPharmacist-led prescribing feedback has the potential to reduce prescribing errors and improve prescribing outcomes and patient safety.     

Early life Adversity,functional connectivity and cognitive performance in Schizophrenia: The mediating role of IL-6

ObjectiveExposure to childhood trauma (CT) is associated with cognitive impairment in schizophrenia, and deficits in social cognition in particular. Here, we sought to test whether IL-6 mediated the association between CT and social cognition both directly, and sequentially via altered default mode network (DMN) connectivity.MethodsThree-hundred-and-eleven participants (104 patients and 207 healthy participants) were included, with MRI data acquired in a subset of n = 147. CT was measured using the childhood trauma questionnaire (CTQ). IL-6 was measured in both plasma and in toll like receptor (TLR) stimulated whole blood. The CANTAB emotion recognition task (ERT) was administered to assess social cognition, and cortical connectivity was assessed based on resting DMN connectivity.ResultsHigher IL-6 levels, measured both in plasma and in toll-like receptor (TLR-2) stimulated blood, were significantly correlated with higher CTQ scores and lower cognitive and social cognitive function. Plasma IL-6 was further observed to partly mediate the association between higher CT scores and lower emotion recognition performance (CTQ total: β_indirect −0.0234, 95% CI: −0.0573 to −0.0074; CTQ physical neglect: β_indirect = −0.0316, 95% CI: −0.0741 to −0.0049). Finally, sequential mediation was observed between plasma IL-6 levels and DMN connectivity in mediating the effects of higher CTQ on lower social cognitive function (β_indirect = −0.0618, 95% CI: −0.1523 to −0.285).ConclusionThis work suggests that previous associations between CT and social cognition may be partly mediated via an increased inflammatory response. IL-6′s association with changes in DMN activity further suggest at least one cortical network via which CT related effects on cognition may be transmitted.     

Novel point-of-care biomarker combination tests to differentiate acute bacterial from viral respiratory tract infections to guide antibiotic prescribing: a systematic review

BackgroundAcute respiratory tract infections (RTIs) are the most common reason to seek medical care, with many patients receiving inappropriate antibiotics. Novel testing approaches to identify aetiology at the point-of-care are required to accurately guide antibiotic treatment.ObjectiveTo assess the diagnostic accuracy of biomarker combinations to rapidly differentiate between acute bacterial or viral RTI aetiology.Data sourcesMEDLINE, Embase and Web of Science databases were searched to February 2021.Study eligibility criteriaDiagnostic accuracy studies comparing accuracy of point-of-care and rapid diagnostic tests in primary or secondary care, consisting of biomarker combinations, to identify bacterial or viral aetiology of RTI.MethodsRisk of bias was assessed using the QUADAS-2 tool. Sensitivity and specificity of tests reported by more than one study were meta-analysed using a random effects model.ResultsTwenty observational studies (3514 patients) were identified. Eighteen were judged at high risk of bias. For bacterial aetiologies, sensitivity ranged from 61% to 100% and specificity from 18% to 96%. For viral aetiologies, sensitivity ranged from 59% to 97% and specificity from 74% to 100%. Studies evaluating two commercial tests were meta-analysed. For ImmunoXpert, the summary sensitivity and specificity were 85% (95% CI 75%–91%, k = 4) and 86% (95% CI 73%–93%, k = 4) for bacterial infections, and 90% (95% CI 79%–96%, k = 3) and 92% (95% CI 83%–96%, k = 3) for viral infections, respectively. FebriDx had pooled sensitivity and specificity of 84% (95% CI 75%–90%, k = 4) and 93% (95% CI 90%–95%, k = 4) for bacterial infections, and 87% (95% CI 72%–95%; k = 4) and 82% (95% CI 66%–86%, k = 4) for viral infections, respectively.ConclusionCombinations of biomarkers show potential clinical utility in discriminating the aetiology of RTIs. However, the limitations in the evidence base, due to a high proportion of studies with high risk of bias, preclude firm conclusions. Future research should be in primary care and evaluate patient outcomes and cost-effectiveness with experimental study designs.Clinical trialPROSPERO registration number: CRD42020178973.     

Investigating how electroencephalogram measures associate with delirium: A systematic review

Delirium is a common neurocognitive disorder in hospital settings, characterised by fluctuating impairments in attention and arousal following an acute precipitant. Electroencephalography (EEG) is a useful method to understand delirium pathophysiology. We performed a systematic review to investigate associations between delirium and EEG measures recorded prior, during, and after delirium. A total of 1,655 articles were identified using PsycINFO, Embase and MEDLINE, 31 of which satisfied inclusion criteria. Methodological quality assessment was undertaken, resulting in a mean quality score of 4 out of a maximum of 5. Qualitative synthesis revealed EEG slowing and reduced functional connectivity discriminated between those with and without delirium (i.e. EEG during delirium); the opposite pattern was apparent in children, with cortical hyperexcitability. EEG appears to have utility in differentiating those with and without delirium, but delirium vulnerability and the long-term effects on brain function require further investigation. Findings provide empirical support for the theory that delirium is a disorder of reduced functional brain integration.     

Inborn errors of immunity with eosinophilia

Monogenic diseases of the immune system, also known as inborn errors of immunity (IEIs), are caused by single-gene mutations and result in immune deficiency and dysregulation. More than 400 monogenic diseases have been described to date, and this number is rapidly expanding. The increasing availability of next-generation sequencing is now facilitating the diagnosis of IEIs. It is known that IEIs can predispose a person to not only infectious diseases but also cancer and immune disorders, such as inflammatory, autoimmune, and atopic diseases. IEIs with eosinophilia and atopic diseases can occur in several disorders. IEIs with eosinophilia have provided insights into human immunity and the pathogenesis of allergic diseases. Eosinophilia is not a rare finding in clinical practice, and it often poses problems in terms of etiologic research and differential diagnoses. Secondary eosinophilia is the most common form. The main underlying conditions are infectious diseases such as parasitic infections, allergic disorders, drug reactions, and of course IEIs. In clinical settings, the recognition of IEIs in the context of an allergic phenotype with eosinophilia is critical for prompt diagnosis and appropriate treatment aimed at modulating pathophysiological mechanisms and improving clinical symptoms.     

Application of metabolomics in establishing primary nephrotic syndrome diagnosis model

Objective To establish diagnosis model and explore related metabolic pathways by analyzing the serum metabolic profile of patients with primary nephrotic syndrome (PNS) through metabolomics. Methods Thirty PNS patients hospitalized in Huai'an First People's Hospital between December 2010 and April 2012 were enrolled. High performance liquid chromatography-mass spectrometry (LC-MS) was employed to detect metabolites in the serum of 30 PNS patients and 30 healthy controls. Metabolic fingerprint profiling and multivariate pattern recognition analysis were combined to establish disease-specific metabolic diagnosis model, and metabolic pathway analysis was performed. Results PNS group and control group could be well separated by principal component analysis (PCA) model as well as partial least-squares discriminant analysis (PLS-DA) model with Q2 of 0.300. There was well interpretation in PLA-DA model (R2X=0.581，R2Y=0.452). Compared with healthy controls，PNS patients had decreased cholestane 3, 7, 12, 15 alcohol, acyl glycerine, phytosphingosine and tryptophan, and increased sphingomyelin, arginine and glutamic acid (all VIP＞1, P＜0.05). The metabolic disorders pathways of PNS patients included sphingolipid metabolism, arginine and proline metabolism, linoleic acid metabolism and pyrimidine metabolism (all impact＞0.10 and P＜0.05). Conclusions Metabolomics combined with multivariate pattern recognition analysis may be a new tool for diagnosis and monitoring of PNS.