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1.
Cureus ; 16(2): e53531, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38445149

RESUMO

REVIEW: A common chronic health problem among Saudi Arabians is diabetes mellitus (DM). One of the most serious complications of diabetes is diabetic foot (DMF). AIM: The objective of this study was to identify the most common complications that develop among patients with DMF. In addition, we conducted a demographic analysis of chronic diabetic complications related to DMF. MATERIAL AND METHODS: The study involved 100 DMF attending the Jeddah clinic of Dr Soliman Fakeeh Hospital. Several chronic complications associated with DMF were reported, including peripheral arterial disease (PAD), coronary artery disease (CAD), retinopathy, nephropathy, and neuropathy. We examined the feet for ulcers, gangrene, amputations, bone deformities, Charcot joints, osteoarthritis, septic arthritis, and osteomyelitis. By using B-mode ultrasound and spectral Doppler imaging, we imaged the posterior tibial and anterior tibial arteries. RESULTS: People with poorly controlled diabetes mellitus type 2 (T2DM) are more likely to develop diabetic feet. The most common foot complications were foot ulcers (81%), foot amputations (31%), foot gangrene (29%) (29/100), bone deformities (22%) (22/100), ingrown toenails (17%) (17/100), Charcot's foot (10%) (10/100), and calluses (9%) (9/100). The majority of the patients suffered from hypertension and half had anaemia. Diabetic peripheral neuropathy affected about half of the patients, diabetic nephropathy affected one-third, and diabetic retinopathy affected 14%. Approximately a quarter (25/100) of the patients had CAD and less than half had PAD. There was atherosclerosis in 43% (43/100) of popliteal/infra-popliteal arteries. Twenty-two percent (22/100) of the anterior tibial arteries and 25% (25/100) of the posterior tibial arteries were stenotic or occluded. A biphasic mode was observed in 21% (21/100) of anterior tibial arteries, a monophasic mode in 9% (9/100), and a non-flowing mode in 3% (3/100). Twenty-three percent (23/100) of the posterior tibial arteries displayed biphasic Doppler modes, 5% (5/100) displayed monophasic modes, and 6% (6/100) displayed non-flowing modes. Conclusion: Diabetes foot is common among older males with poorly controlled T2DM. The most common foot complications were amputations, gangrene, foot ulcers, bone deformities, ingrown toenails, Charcot's foot, and calluses. Most DMF patients were anemic and hypertensive. Diabetes-related microvascular complications, such as diabetic peripheral neuropathy, nephropathy, and retinopathy, as well as macrovascular complications, such as coronary artery disease and peripheral arterial disease, were associated with DMF.

2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 5793-5796, 2016 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-28269571

RESUMO

Laboratory error detection is a hard task yet plays an important role in efficient care of the patients. Quality controls are inadequate in detecting pre-analytic errors and are not frequent enough. Hence population- and patient-based detectors are developed. However, it is not clear what set of analytes leads to the most efficient error detectors. Here, we use three different scoring functions that can be used in detecting errors, to rank a set of analytes in terms of their strength in distinguishing erroneous measurements. We also observe that using evaluations of larger subsets of analytes in our analysis does not necessarily lead to a more accurate error detector. In our data set obtained from renal kidney disease inpatients, calcium, potassium, and sodium, emerged as the top-3 indicators of an erroneous measurement. Using the joint likelihood of these three analytes, we obtain an estimated AUC of 0.73 in error detection.


Assuntos
Testes de Química Clínica/métodos , Laboratórios , Adulto , Humanos , Nefropatias/metabolismo , Controle de Qualidade , Projetos de Pesquisa , Adulto Jovem
3.
Stud Health Technol Inform ; 52 Pt 1: 665-9, 1998.
Artigo em Inglês | MEDLINE | ID: mdl-10384538

RESUMO

Current natural language processing techniques for recognition of concepts in the electronic medical record have been insufficient to allow their broad use for coding information automatically. We have undertaken a preliminary investigation into the use of machine learning methods to recognize procedure codes from emergency room dictations for a trauma registry. Our preliminary results indicate moderate success, and we believe future enhancements with additional learning techniques and selected natural language processing approaches will be fruitful.


Assuntos
Inteligência Artificial , Sistema de Registros , Traumatologia/classificação , Serviço Hospitalar de Emergência , Humanos , Sistemas Computadorizados de Registros Médicos , Ferimentos e Lesões
4.
J Mot Behav ; 21(3): 225-44, 1989 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-15136262

RESUMO

The stability limits of erect stance are described as a geometrical structure in a movement space. Mechanical properties and response latency, a neural property, are determining factors for the stability limits. Standing stability limits of adults and young children are compared, and a simple scheme is suggested by means of which infants can discover the stability limits as they learn to stand. The mechanics of different standing movements are discussed because their spatial temporal properties relate directly to their different stability limits. The combination of the stability limits for different movements gives a total set of stability limits, a different structure for adults than for children.

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