Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Filtrar
1.
J Trauma Acute Care Surg ; 92(1): 185-192, 2022 01 01.
Artigo em Inglês | MEDLINE | ID: mdl-34137744

RESUMO

BACKGROUND: Diabetes is associated with increased hospital complications and mortality following trauma. However, there is limited research on the longer-term recovery of trauma patients with diabetes. The aim of this study was to explore the association between type 2 diabetes (T2D) and in-hospital and 24-month outcomes in major trauma patients. METHODS: In this cohort study using the Victorian State Trauma Registry, middle-aged and older adults (≥45 years) with major trauma were followed up at 24 months postinjury. Logistic regression (univariable and multivariable) analyses were used to determine the association between diabetes status and 24-month patient-reported outcomes. In-hospital outcomes were compared between groups using χ2 tests. RESULTS: Of the 11,490 participants who survived to hospital discharge, 8,493 survived to 24 months postinjury and were followed up at that time point: 953 people (11%) with and 7540 (89%) without T2D. People with T2D had a higher in-hospital death rate (19%) compared with people without T2D (16%; p < 0.001). After adjusting for confounders, people with T2D had poorer outcomes 24 months postinjury than people without T2D, with respect to functional recovery (Glasgow Outcome Scale Extended) (adjusted odds ratio [AOR], 0.58; 95% confidence interval [CI], 0.48-0.69) and return to work/study (AOR, 0.51; 95% CI, 0.37-0.71]). People with T2D experienced higher odds of problems with mobility (AOR, 1.92; 95% CI, 1.60-2.30), self-care (AOR, 1.94; 95% CI, 1.64, 2.29), usual activities (AOR, 1.50; 95% CI, 1.26-1.79), pain and discomfort (AOR, 1.75; 95% CI, 1.49-2.07), anxiety and depression (AOR, 1.45; 95% CI, 1.24, 1.70), and self-reported disability (AOR, 1.51; 95% CI, 1.28-1.79) than people without T2D. CONCLUSION: Major trauma patients with T2D have a poorer prognosis than patients without T2D, both during their hospital admission and 24 months postinjury. Patients with T2D may need additional health care and support following trauma to reach their recovery potential. LEVEL OF EVIDENCE: Prognostic, level III.


Assuntos
Atividades Cotidianas , Diabetes Mellitus Tipo 2/epidemiologia , Efeitos Adversos de Longa Duração , Ferimentos e Lesões , Idoso , Austrália/epidemiologia , Correlação de Dados , Feminino , Escala de Resultado de Glasgow , Mortalidade Hospitalar , Hospitalização/estatística & dados numéricos , Humanos , Efeitos Adversos de Longa Duração/diagnóstico , Efeitos Adversos de Longa Duração/epidemiologia , Masculino , Pessoa de Meia-Idade , Medidas de Resultados Relatados pelo Paciente , Recuperação de Função Fisiológica , Sistema de Registros/estatística & dados numéricos , Índices de Gravidade do Trauma , Ferimentos e Lesões/diagnóstico , Ferimentos e Lesões/mortalidade , Ferimentos e Lesões/reabilitação , Ferimentos e Lesões/terapia
2.
Injury ; 50(7): 1277-1283, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31109684

RESUMO

OBJECTIVE: To i) quantify the agreement between comorbidities documented within medical records and an orthopaedic trauma dataset; and ii) compare agreement between these sources before and after the introduction of new comorbidity coding rules in Australian hospitals. STUDY DESIGN AND SETTING: A random sample of adult (≥ 16 years) orthopaedic trauma patients (n = 400) were extracted from the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR). Diagnoses of obesity, arthritis, diabetes and cardiac conditions documented within patients' medical records were compared to ICD-10-AM comorbidity codes (provided by hospitals) for the same admission. Agreement was calculated (Cohen's kappa) before and after the introduction of new coding rules. RESULTS: All comorbidities had the same or higher prevalence in medical record data compared to coded data. Kappa values ranged from <0.001 (poor agreement) for coronary artery disease to 0.94 (excellent agreement) for type 2 diabetes. There was improvement in agreement between sources for most conditions following the introduction of new coding rules. CONCLUSION: There has been improvement in the coding of certain comorbidities since the introduction of new coding rules, suggesting that, since 2015, administrative data has improved capacity to capture patients' comorbidity profiles. Consideration must be taken when using the ICD-10-AM data due to its limitations.


Assuntos
Codificação Clínica , Comorbidade , Diabetes Mellitus/epidemiologia , Prontuários Médicos/estatística & dados numéricos , Obesidade/epidemiologia , Osteoporose/epidemiologia , Ferimentos e Lesões/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Austrália/epidemiologia , Feminino , Controle de Formulários e Registros , Pesquisa sobre Serviços de Saúde , Humanos , Classificação Internacional de Doenças , Masculino , Pessoa de Meia-Idade , Procedimentos Ortopédicos , Adulto Jovem
3.
Emerg Med J ; 31(1): 69-71, 2014 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-23264607

RESUMO

INTRODUCTION: Emergency electrical intervention for patients in the form of defibrillation, cardioversion and external cardiac pacing can be life saving. Advances in medical technology have enabled electrical intervention to be delivered from small, portable devices. With the rising use of air transport for patients, electrical intervention during aeromedical transfer has an increasing incidence. Our aim was to describe the incidence of electrical intervention in a cohort of critically ill patients undergoing aeromedical transfer and review the risks associated with electrical intervention. METHODS: All secondary retrievals undertaken by a national aeromedical critical care retrieval service were reviewed over a 48-month period. RESULTS: In a mixed medical and trauma critical care population, 11 of 967 (1.1%) secondary retrievals required electrical intervention during aeromedical critical care retrieval. The median age of these patients was 77 years (range 32-86) and the median transport time was 70 min (range 40-100 min). All of these patients had an underlying primary cardiac condition and had been identified as high risk for developing an arrhythmia. CONCLUSIONS: Electrical intervention in a transport environment brings unique challenges, particularly during aeromedical transport. Our study in a European model shows that there is a small but significant incidence of electrical intervention required during aeromedical flight for critically ill patients. There are potential safety issues with electrical intervention in aeromedical flight; therefore, any service involved in the transport of critically ill patients needs to have a robust procedure in place to deliver this safely.


Assuntos
Resgate Aéreo , Estimulação Cardíaca Artificial , Cardioversão Elétrica , Adulto , Idoso , Idoso de 80 Anos ou mais , Arritmias Cardíacas/prevenção & controle , Estimulação Cardíaca Artificial/estatística & dados numéricos , Cardioversão Elétrica/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA