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1.
Int J Risk Saf Med ; 33(S1): S69-S72, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35871371

RESUMEN

BACKGROUND: Advance care treatment escalation plans (TEPs) are often lost between healthcare settings, leading to duplication of work and loss of patient autonomy. OBJECTIVE: This quality improvement project reviewed the usage of TEP forms and aimed to improve completeness of documentation and visibility between admissions. METHODS: Over four months we monitored TEP form documentation using a standardised data extraction form. This examined section completion, seniority of documenting clinician and transfer of forms to our hospital electronic patient record (EPRO). We added reminders to computer monitors on wards to improve EPRO upload. RESULTS: Initial data demonstrated that 95% of patients (n = 230) had a TEP, with 99% of TEPs recording resuscitation status. However, other sections were not well documented (patient capacity 57% completion and personal priorities 45% completion, respectively). Only 11.9% of TEPs documented consultant involvement. Furthermore, only 44% of TEPs with a do not attempt resuscitation (DNACPR) decision were uploaded. Following this, we added reminders to computer monitors explaining how to upload TEP decisions to EPRO, which increased EPRO uploads to 74%. CONCLUSION: Communication of TEPs needs improving across healthcare settings. This project showed that the use of a physical reminder can greatly improve communication of treatment escalation decisions. Furthermore, this intervention has inspired future projects aiming at making communication more sustainable through the use of discharge summaries.


Asunto(s)
Reanimación Cardiopulmonar , Humanos , Medicina Estatal , Comunicación , Documentación , Atención a la Salud
2.
Eur J Haematol ; 108(6): 493-502, 2022 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-35184331

RESUMEN

OBJECTIVES: Myeloma is characterised by the presence of monoclonal immunoglobulin (M-protein) and the free light chain (FLC) in blood. We investigated whether these M-proteins and FLC are detectable in myeloma patients' saliva to evaluate its utility for non-invasive screening and monitoring of haematological malignancies. METHODS: A total of 57 patients with monoclonal gammopathy and 26 age-matched healthy participants provided paired serum and saliva samples for immunoglobulin characterisation and quantification. RESULTS: Myeloma patients had IgG or IgA M-protein levels ranging up to five times and FLC levels up to a thousand times normal levels of polyclonal immunoglobulins. Despite these highly elevated levels, only two IgG and no IgA M-proteins or FLC could be detected in paired saliva samples. Most patients had reduced levels of serum polyclonal immunoglobulins, but all had normal levels of salivary IgA. CONCLUSIONS: Immunoglobulin transfer from blood is not determined by levels in the systemic circulation and more likely dictated by periodontal inflammation and the integrity of the oral epithelium. Immunoglobulins secreted by bone marrow plasma cells do not substantially enter saliva, which represents a poor medium for myeloma diagnosis. These findings, along with normal salivary IgA levels despite systemic immunoparesis, support a strong partitioning of oral from systemic humoral immunity.


Asunto(s)
Mieloma Múltiple , Proteínas de Mieloma , Humanos , Inmunoglobulina A , Inmunoglobulina G , Cadenas Ligeras de Inmunoglobulina , Inmunoglobulinas , Saliva/metabolismo
3.
Brain Behav Immun ; 83: 78-86, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-31557507

RESUMEN

BACKGROUND: Salivary free light chains (FLCs) are an emerging biomarker in health and behavioural research. However, little is known regarding biological variability of salivary FLCs and how they relate to other established salivary biomarkers. This study aimed to investigate the diurnal and day-to-day variation of salivary FLCs and their relationship with salivary IgA and steroid hormones. METHODS: A total of 46 healthy adults participated in studies exploring the biological variability of FLCs. Diurnal variation was investigated by collecting saliva samples immediately upon waking, 0.5 h, 3 h, 6 h, 9 h and 14 h post-waking. Saliva samples were assessed for FLCs, IgA, cortisol and dehydroepiandrosterone (DHEA). Between-day variation in FLCs and IgA was assessed by collecting saliva samples immediately upon waking for seven consecutive days. Participants underwent a dental examination to exclude oral health as a potential confounding variable. Within and between-person day-to day variation was explored in relation to a range of different factors: awakening time, sleep, exercise, well-being and alcohol consumption. RESULTS: Salivary secretion rates of FLCs decreased following waking and up to 3 h post-waking and then plateaued. This same pattern was observed for IgA. DHEA was stable upon waking and higher levels were seen in the morning with significantly lower levels thereafter. Cortisol levels significantly increased 0.5 h post-waking then continued to decline across the day. FLCs were significantly correlated with IgA but not cortisol or DHEA. Both FLCs and IgA parameters showed day-to-day variability, with coefficients of variation ≥ 40%. Earlier waking time was significantly correlated with higher FLC and IgA secretion rates. Inter-person differences in saliva parameter variability were observed but the degree of variation in FLCs and IgA was related within person. Inter-person day-to-day variation appeared to be uninfluenced by lifestyle or behavioural factors. CONCLUSIONS: Saliva FLCs secretion exhibits diurnal fluctuation that mirrors IgA fluctuation. Findings strongly indicate salivary FLC secretion is orchestrated by local plasma cells. FLCs and IgA both showed notable variability day-to-day, which was similar within person and influenced by awakening time. FLCs offer a promising adjunct to IgA in the measurement of oral immune activation.


Asunto(s)
Biomarcadores/metabolismo , Deshidroepiandrosterona/metabolismo , Hidrocortisona/metabolismo , Inmunoglobulina A/metabolismo , Saliva/inmunología , Saliva/metabolismo , Adulto , Ritmo Circadiano , Femenino , Humanos , Masculino , Adulto Joven
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