RESUMO
Gastric emptying of a glucose drink was measured in people with type 2 diabetes given lixisenatide (20 µg/day or placebo) for 8 weeks. Intragastric retention at 240 min (2 (0-11)% vs 48 (3-97)%; P < 0.0001) was much greater with lixisenatide than placebo. Accordingly, lixisenatide may delay liquid gastric emptying markedly.
Assuntos
Diabetes Mellitus Tipo 2 , Esvaziamento Gástrico , Agonistas do Receptor do Peptídeo 1 Semelhante ao Glucagon , Hipoglicemiantes , Peptídeos , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/complicações , Método Duplo-Cego , Esvaziamento Gástrico/efeitos dos fármacos , Agonistas do Receptor do Peptídeo 1 Semelhante ao Glucagon/uso terapêutico , Hipoglicemiantes/uso terapêutico , Peptídeos/uso terapêutico , Peptídeos/administração & dosagem , Peptídeos/farmacologiaAssuntos
Analgésicos Opioides , Dor Pós-Operatória , Humanos , Analgésicos Opioides/uso terapêutico , Analgésicos Opioides/efeitos adversos , Dor Pós-Operatória/tratamento farmacológico , Dor Pós-Operatória/etiologia , Fatores de Risco , Procedimentos Cirúrgicos Cardíacos/efeitos adversos , Transtornos Relacionados ao Uso de Opioides/epidemiologia , Transtornos Relacionados ao Uso de Opioides/etiologia , Transtornos Relacionados ao Uso de Opioides/prevenção & controle , Estudos de CoortesRESUMO
BACKGROUND: Seizures are an important palliative symptom, the management of which can be complicated by patients' capacity to swallow oral medications. In this setting, and the wish to avoid intravenous access, subcutaneous infusions may be employed. Options for antiseizure medications that can be provided subcutaneously may be limited. Subcutaneous sodium valproate may be an additional management strategy. AIM: To evaluate the published experience of subcutaneous valproate use in palliative care, namely with respect to effectiveness and tolerability. DESIGN: A systematic review was registered (PROSPERO CRD42023453427), conducted and reported according to PRISMA reporting guidelines. DATA SOURCES: The databases PubMed, EMBASE and Scopus were searched for publications until August 11, 2023. RESULTS: The searches returned 429 results, of which six fulfilled inclusion criteria. Case series were the most common study design, and most studies included <10 individuals who received subcutaneous sodium valproate. There were three studies that presented results on the utility of subcutaneous sodium valproate for seizure control, which described it to be an effective strategy. One study also described it as an effective treatment for neuropathic pain. The doses were often based on presumed 1:1 oral to subcutaneous conversion ratios. Only one study described a local site adverse reaction, which resolved with a change of administration site. CONCLUSIONS: There are limited data on the use of subcutaneous sodium valproate in palliative care. However, palliative symptoms for which subcutaneous sodium valproate have been used successfully are seizures and neuropathic pain. The available data have described few adverse effects, supporting its use with an appropriate degree of caution.
Assuntos
Anticonvulsivantes , Cuidados Paliativos , Ácido Valproico , Humanos , Ácido Valproico/uso terapêutico , Anticonvulsivantes/uso terapêutico , Anticonvulsivantes/administração & dosagem , Convulsões/tratamento farmacológico , Injeções Subcutâneas , Feminino , Idoso , Masculino , Pessoa de Meia-Idade , Adulto , Idoso de 80 Anos ou maisRESUMO
BACKGROUND: Vascular surgery carries a high risk of post-operative cardiac complications. Recent studies have shown an association between asymptomatic left ventricular systolic dysfunction and increased risk of major adverse cardiovascular events (MACE). This systematic review aims to evaluate the prognostic value of left ventricular function as determined by left ventricular ejection fraction (LVEF) measured by resting echocardiography before vascular surgery. METHODS: This review conformed to PRISMA and MOOSE guidelines. PubMed, OVID Medline and Cochrane databases were searched from inception to 27 October 2022. Eligible studies assessed vascular surgery patients, with multivariable-adjusted or propensity-matched observational studies measuring LVEF via resting echocardiography and providing risk estimates for outcomes. The primary outcomes measures were all-cause mortality and congestive heart failure at 30 days. Secondary outcome included the composite outcome MACE. RESULTS: Ten observational studies were included (4872 vascular surgery patients). Studies varied widely in degree of left ventricular systolic dysfunction, symptom status, and outcome reporting, precluding reliable meta-analysis. Available data demonstrated a trend towards increased incidence of all-cause mortality, congestive heart failure and MACE in patients with pre-operative LVEF <50%. Methodological quality of the included studies was found to be of moderate quality according to the Newcastle Ottawa Checklist. CONCLUSION: The evidence surrounding the prognostic value of LVEF measurement before vascular surgery is currently weak and inconclusive. Larger scale, prospective studies are required to further refine cardiac risk prediction before vascular surgery.
Assuntos
Procedimentos Cirúrgicos Vasculares , Disfunção Ventricular Esquerda , Função Ventricular Esquerda , Humanos , Prognóstico , Função Ventricular Esquerda/fisiologia , Disfunção Ventricular Esquerda/fisiopatologia , Procedimentos Cirúrgicos Vasculares/efeitos adversos , Procedimentos Cirúrgicos Vasculares/métodos , Complicações Pós-Operatórias/epidemiologia , Volume Sistólico/fisiologia , Ecocardiografia , Insuficiência Cardíaca/fisiopatologia , SístoleRESUMO
OBJECTIVE: Epilepsy surgery is known to be underutilized. Machine learning-natural language processing (ML-NLP) may be able to assist with identifying patients suitable for referral for epilepsy surgery evaluation. METHODS: Data were collected from two tertiary hospitals for patients seen in neurology outpatients for whom the diagnosis of "epilepsy" was mentioned. Individual case note review was undertaken to characterize the nature of the diagnoses discussed in these notes, and whether those with epilepsy fulfilled prespecified criteria for epilepsy surgery workup (namely focal drug refractory epilepsy without contraindications). ML-NLP algorithms were then developed using fivefold cross-validation on the first free-text clinic note for each patient to identify these criteria. RESULTS: There were 457 notes included in the study, of which 250 patients had epilepsy. There were 37 (14.8%) individuals who fulfilled the prespecified criteria for epilepsy surgery referral without described contraindications, 32 (12.8%) of whom were not referred for epilepsy surgical evaluation in the given clinic visit. In the prediction of suitability for epilepsy surgery workup using the prespecified criteria, the tested models performed similarly. For example, the random forest model returned an area under the receiver operator characteristic curve of 0.97 (95% confidence interval 0.93-1.0) for this task, sensitivity of 1.0, and specificity of 0.93. SIGNIFICANCE: This study has shown that there are patients in tertiary hospitals in South Australia who fulfill prespecified criteria for epilepsy surgery evaluation who may not have been referred for such evaluation. ML-NLP may assist with the identification of patients suitable for such referral. PLAIN LANGUAGE SUMMARY: Epilepsy surgery is a beneficial treatment for selected individuals with drug-resistant epilepsy. However, it is vastly underutilized. One reason for this underutilization is a lack of prompt referral of possible epilepsy surgery candidates to comprehensive epilepsy centers. Natural language processing, coupled with machine learning, may be able to identify possible epilepsy surgery candidates through the analysis of unstructured clinic notes. This study, conducted in two tertiary hospitals in South Australia, demonstrated that there are individuals who fulfill criteria for epilepsy surgery evaluation referral but have not yet been referred. Machine learning-natural language processing demonstrates promising results in assisting with the identification of such suitable candidates in Australia.
Assuntos
Epilepsia Resistente a Medicamentos , Epilepsia , Humanos , Processamento de Linguagem Natural , Austrália , Registros Eletrônicos de Saúde , Epilepsia/diagnóstico , Epilepsia/cirurgia , Epilepsia Resistente a Medicamentos/diagnóstico , Epilepsia Resistente a Medicamentos/cirurgia , Encaminhamento e ConsultaRESUMO
BACKGROUND: Although modern Australian healthcare systems provide patient-centred care, the ability to predict and prevent suboptimal post-procedural outcomes based on patient demographics at admission may improve health equity. This study aimed to identify patient demographic characteristics that might predict disparities in mortality, readmission, and discharge outcomes after either an operative or non-operative procedural hospital admission. METHODS: This retrospective cohort study included all surgical and non-surgical procedural admissions at three of the four major metropolitan public hospitals in South Australia in 2022. Multivariable logistic regression, with backwards selection, evaluated association between patient demographic characteristics and outcomes up to 90 days post-procedurally. RESULTS: 40 882 admissions were included. Increased likelihood of all-cause, post-procedure mortality in-hospital, at 30 days, and 90 days, were significantly associated with increased age (P < 0.001), increased comorbidity burden (P < 0.001), an emergency admission (P < 0.001), and male sex (P = 0.046, P = 0.03, P < 0.001, respectively). Identification as ATSI (P < 0.001) and being born in Australia (P = 0.03, P = 0.001, respectively) were associated with an increased likelihood of 30-day hospital readmission and decreased likelihood of discharge directly home, as was increased comorbidity burden (P < 0.001) and emergency admission (P < 0.001). Being married (P < 0.001) and male sex (P = 0.003) were predictive of an increased likelihood of discharging directly home; in contrast to increased age (P < 0.001) which was predictive of decreased likelihood of this occurring. CONCLUSIONS: This study characterized several associations between patient demographic factors present on admission and outcomes after surgical and non-surgical procedures, that can be integrated within patient flow pathways through the Australian healthcare system to improve healthcare equity.
Assuntos
Alta do Paciente , Readmissão do Paciente , Humanos , Masculino , Austrália do Sul/epidemiologia , Austrália , Estudos Retrospectivos , Hospitais Públicos , Fatores de Risco , DemografiaRESUMO
Prehabilitation, or interventions before surgery aimed at improving preoperative health and postoperative outcomes, has various forms. Although it may confer benefit to patients undergoing general surgery, this is not certain. Furthermore, although it may yield a net monetary gain, it is also likely to require substantial monetary and non-monetary investment. The impact of prehabilitation is highly variable and dependent on multiple factors. Physical function and pulmonary outcomes are likely to be improved by most forms of prehabilitation involving physical and multimodal exercise programmes. However, other surgical outcomes have demonstrated mixed results from prehabilitation. Within this issue, the measures used for evaluating baseline patient biopsychosocial health are important, and collecting sufficient data to accurately inform patient-centred prehabilitation programmes is only possible through thorough clinical and laboratory investigation and synthesised metrics such as cardiopulmonary exercise testing. Although a multimodal approach to prehabilitation is the current gold standard, societal factors may affect engagement with programmes that require a significant in-person activity. However, this is weighed against the substantial financial and non-financial investment that accompanies many programmes. The overall effectiveness and optimal mode of intervention across the discipline of general surgery remains unclear, and further research is needed to prove prehabilitation's full worth.