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1.
IEEE Open J Eng Med Biol ; 4: 162-167, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38274774

RESUMO

Goal: Current Space Medicine operations depend on terrestrial support to manage medical events. As astronauts travel to destinations such as the Moon, Mars, and beyond, distance will substantially limit this support and require increasing medical autonomy from the crew. This paper defines Earth Independent Medical Operations (EIMO) and identifies key elements of a conceptual EIMO system. Methods: The NASA Human Research Program Exploration Medical Capability Element held a 2-day conference at Johnson Space Center in Houston, TX with NASA experts representing all aspects of Space Medicine. Results: EIMO will be a process enabling progressively resilient deep space exploration systems and crews to reduce risk and increase mission success. Terrestrial assets will continue to provide pre-mission screening, planning, health maintenance, and prevention, while onboard medical care will increasingly be the purview of the crew. Conclusions: This paper defines and describes the key components of EIMO.

2.
NPJ Microgravity ; 5: 29, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31815179

RESUMO

The concept of prolonged field care (PFC), or medical care applied beyond doctrinal planning timelines, is the top priority capability gap across the US Army. PFC is the idea that combat medics must be prepared to provide medical care to serious casualties in the field without the support of robust medical infrastructure or resources in the event of delayed medical evacuation. With limited resources, significant distances to travel before definitive care, and an inability to evacuate in a timely fashion, medical care during exploration spaceflight constitutes the ultimate example PFC. One of the main capability gaps for PFC in both military and spaceflight settings is the need for technologies for individualized monitoring of a patient's physiological status. A monitoring capability known as the compensatory reserve measurement (CRM) meets such a requirement. CRM is a small, portable, wearable technology that uses a machine learning and feature extraction-based algorithm to assess real-time changes in hundreds of specific features of arterial waveforms. Future development and advancement of CRM still faces engineering challenges to develop ruggedized wearable sensors that can measure waveforms for determining CRM from multiple sites on the body and account for less than optimal conditions (sweat, water, dirt, blood, movement, etc.). We show here the utility of a military wearable technology, CRM, which can be translated to space exploration.

3.
Can J Surg ; 47(1): 34-8, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-14997923

RESUMO

INTRODUCTION: Obesity has been described as a risk factor for the development of coronary artery disease, but it has not been determined whether obesity is associated with adverse outcomes after cardiac surgery. Therefore, we analyzed a large cohort of patients who had undergone cardiac surgery to determine whether obesity is a predictor of mortality, morbidity or early readmission to hospital. METHODS: At the London Health Sciences Centre, an academic tertiary care centre, we prospectively entered data from the cardiac surgical database from July 1999 to April 2002. We collected data on 1310 consecutive, unselected patients who underwent cardiac surgery during that time. We assessed the degree of obesity using the body mass index (BMI), and we prospectively documented the occurrence of 10 major complications after surgery. They included stroke, reoperation for bleeding, life-threatening cardiac arrest or arrhythmia, new renal failure requiring dialysis, septicemia, mediastinitis, sternal dehiscence, respiratory failure, postoperative myocardial infarction and low cardiac output necessitating intra-aortic balloon pump use. Univariable and multivariable analyses were conducted to determine the factors associated with and predictive of postoperative death and major complications. RESULTS: An increased BMI did not increase the risk of early postoperative death. Furthermore, increased BMI was not a predictor of a patient experiencing any of the major complications, except sternal dehiscence. An increased BMI was associated with a higher likelihood of readmission to hospital within 30 days of discharge. CONCLUSION: Obesity was not associated with adverse outcomes after cardiac operations, aside from the increased risks of sternal dehiscence and early hospital readmission.


Assuntos
Procedimentos Cirúrgicos Cardíacos/métodos , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/cirurgia , Mortalidade Hospitalar/tendências , Obesidade/epidemiologia , Readmissão do Paciente/estatística & dados numéricos , Centros Médicos Acadêmicos , Adulto , Idoso , Idoso de 80 Anos ou mais , Análise de Variância , Índice de Massa Corporal , Procedimentos Cirúrgicos Cardíacos/efeitos adversos , Doenças Cardiovasculares/diagnóstico , Estudos de Coortes , Comorbidade , Feminino , Humanos , Incidência , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Morbidade/tendências , Análise Multivariada , Obesidade/diagnóstico , Ontário , Complicações Pós-Operatórias/epidemiologia , Valor Preditivo dos Testes , Probabilidade , Estudos Prospectivos , Reoperação/estatística & dados numéricos , Medição de Risco , Análise de Sobrevida , Resultado do Tratamento
4.
CJEM ; 6(1): 51-2, 2004 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-17433148
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