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1.
Ann Vasc Surg ; 99: 272-279, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-37820986

RESUMO

BACKGROUND: Compression ultrasonography of the leg is established for triaging proximal lower extremity deep vein thrombosis (DVT). AutoDVT, a machine-learning software, provides a tool for nonspecialists in acquiring compression sequences to be reviewed by an expert for patient triage. The purpose of this study was to test image acquisition and remote triaging in a clinical setting. METHODS: Patients with a suspected DVT were recruited at 2 centers in Germany and Greece. Enrolled patients underwent an artificial intelligence-guided two-point compression examination by a nonspecialist using a handheld ultrasound device prior to a standard scan. Images collected by the software were uploaded for blind review by 5 qualified physicians. All reviewers rated the quality of all sequences on the American College of Emergency Physicians (ACEP) image quality scale (score 1-5, ≥ 3 defined as adequate imaging quality) and for an ACEP score ≥3, chose "Compressible", "Incompressible", or "Other". Sensitivity and specificity were calculated for adequate quality scans with an assessment as "Compressible" or "Incompressible". We define this group as diagnostic quality. To simulate a triaging clinical algorithm, a post hoc analysis was performed merging the "incomplete", the "low quality", and the "Incompressible" into a high-risk group for proximal DVT. RESULTS: Seventy-three patients (average age 64.2 years, 44% females) were eligible for inclusion and scanned by 3 nonultrasound-qualified healthcare professionals. Three patients were excluded from further analysis due to incomplete scans. Sixty two of 70 (88.57%) of the completed scans were judged to be of adequate image quality with an average ACEP score of 3.35. Forty seven of 62 adequate AutoDVT scans were assessed as diagnostic quality, of which 8 were interpreted as positive for proximal DVT by the reviewers resulting in a sensitivity of 100% and specificity of 95.12%. When simulating a triaging algorithm, 34/73 (46.58%) of patients would be triaged as high risk and 8 would be confirmed as positive for proximal DVT (6 in the diagnostic and 2 in the low-quality cohort). Of 39/73 patients triaged as low risk, all were negative for proximal DVT in standard duplex; thus, this triaging algorithm could potentially save 53.42% of standard duplex scans. CONCLUSIONS: Machine learning software was able to aid nonexperts in acquiring valid ultrasound images of venous compressions and allowed remote triaging. This strategy allows faster diagnosis and treatment of high-risk patients and can spare the need for multiple unnecessary duplex scans, the vast majority being negative.


Assuntos
Inteligência Artificial , Trombose Venosa , Feminino , Humanos , Pessoa de Meia-Idade , Masculino , Triagem , Resultado do Tratamento , Trombose Venosa/diagnóstico por imagem , Ultrassonografia/métodos
2.
Nutr Clin Pract ; 35(4): 724-728, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31270844

RESUMO

BACKGROUND: Copper (Cu) is an essential trace element, with deficiency causing anemia, neutropenia, and other abnormalities. Cu is mainly absorbed in the small intestine. Patients with intestinal failure or jejunostomy have increased Cu losses and require additional Cu supplementation in parenteral nutrition (PN). The American Society for Clinical Nutrition standards for trace element recommendations in PN, including Cu, were created in 1988, and the American Society for Parenteral and Enteral Nutrition currently follows the same recommendations. METHODS: Patients admitted to the neonatal intensive care unit for surgical intervention resulting in an ostomy (ileal or jejunal) were included in this retrospective study. Patients received PN support with Cu dosed individually, rather than in a multi-trace element package. Cu and ostomy output were analyzed daily. Serum Cu was obtained 2 months postsurgical intervention. RESULTS: Out of the 7 patients enrolled, 71% had low serum Cu. Weekly mean Cu intake for all 7 patients ranged from 5.3 to 154.8 µg/kg/day from enteral and parenteral sources, with individual mean weekly Cu intake ranging from 18.9 to 74.4 µg/kg/day from surgical intervention to 2 months post-surgery. Patients' weekly ostomy outputs ranged from 0 mL/kg/day to 77.2 mL/kg/day, with individual mean weekly output ranging from 3.7 to 41.6 mL/kg/day. CONCLUSION: Providing 20 µg/kg/day of Cu in PN to neonates with ostomies is insufficient to prevent Cu deficiency. Further studies are warranted to determine an optimal dosage of parenteral Cu to prevent Cu deficiency.


Assuntos
Cobre/administração & dosagem , Deficiências Nutricionais/terapia , Ileostomia/efeitos adversos , Jejunostomia/efeitos adversos , Nutrição Parenteral/métodos , Complicações Pós-Operatórias/terapia , Oligoelementos/administração & dosagem , Cobre/sangue , Cobre/deficiência , Deficiências Nutricionais/etiologia , Suplementos Nutricionais , Feminino , Humanos , Recém-Nascido , Unidades de Terapia Intensiva Neonatal , Terapia Intensiva Neonatal/métodos , Masculino , Política Nutricional , Necessidades Nutricionais , Complicações Pós-Operatórias/etiologia , Estudos Retrospectivos , Oligoelementos/sangue , Oligoelementos/deficiência , Resultado do Tratamento
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