Literature DB >> 21222582

Point-of-care testing in diabetes care.

E Matteucci1, O Giampietro.   

Abstract

Assessing modifiable risk factors for metabolic and cardiovascular diseases prior to the onset of disease could allow effective prevention initiatives. Equally, monitoring in diabetic people glucose, haemoglobin A1c, ketones, lipid profiles, and urinary microalbumin concentrations allows the prevention, early detection, and treatment of diabetes-related acute and chronic complications and has a positive impact on the process of care in the management of patients with diabetes. The point-of-care testing (PoCT) technology offers convenient aspects: immediate results, decision-making without the need for repeated visits, use of fingerstick blood samples. More patients could be identified at early stages of their disease/complication provided that pre-analytical, analytical, and post-analytical errors are minimised. Indeed, prediction requires instruments with proved precision, accuracy, validity, and reliability. Reference laboratory services are now available to manufacturers so to confirm PoCT results. There are several PoC devices on the market that may allow for "real time" screening, diagnosis, and monitoring in diabetes care. Tight glucose control has a key role in long-term health of diabetic people and in the primary prevention of diabetic chronic complications. Diabetic patients are currently educated to control capillary glucose levels daily in order to maintain them within target limits. Blood glucose meters are widely used not only by diabetic patients to self-manage their disease but also by physicians to monitor critically ill patients. Glycated haemoglobin A1c can now be measured with fast and easy automated PoCT instruments to monitor long-term serum glucose regulation. Urinalysis dipsticks and blood betahydroxybutyrate meter allow measuring urine and blood ketones to prevent ketoacidosis. Since the routine measurement of urinary albumin has been suggested in diabetes mellitus as a predictor of overt diabetic nephropathy, semi-quantitative visual dipsticks and quantitative automated methods of urine testing became available for bedside detection of urine albumin at low concentrations and for the determination of the microalbumin creatinine ratio. While the National Cholesterol Education Program recommends that all adults aged 20 years and over have their blood cholesterol checked at least once every 5 years, adult diabetic patients should measure fasting lipid profile at least annually or every two years in case of low-risk lipid values. There are PoCT devices on the market that provide a full lipid panel (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides). The overview summarises current state-of-the-art of PoCT in diabetes care.

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Year:  2011        PMID: 21222582     DOI: 10.2174/138955711794519474

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  5 in total

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2.  Point-of-care testing in primary care: needs and attitudes of Irish GPs.

Authors:  Laima Varzgaliene; Adrienne Heerey; Charlie Cox; Tomas McGuinness; Genevieve McGuire; Jochen Wl Cals; Eamonn O'Shea; Maureen Kelly
Journal:  BJGP Open       Date:  2017-11-15

3.  Awareness, Interest, and Preferences of Primary Care Providers in Using Point-of-Care Cancer Screening Technology.

Authors:  Chloe S Kim; Sarah Vanture; Margaret Cho; Catherine M Klapperich; Catharine Wang; Franklin W Huang
Journal:  PLoS One       Date:  2016-01-15       Impact factor: 3.240

4.  Continuous Glucose Monitoring in Resource-Constrained Settings for Hypoglycaemia Detection: Looking at the Problem from the Other Side of the Coin.

Authors:  Rubao Bila; Rosauro Varo; Lola Madrid; Antonio Sitoe; Quique Bassat
Journal:  Biosensors (Basel)       Date:  2018-04-25

5.  Patients' and healthcare providers' perspectives of diabetes management in Cambodia: a qualitative study.

Authors:  Ei Ei Khaing Nang; Chhavarath Dary; Li Yang Hsu; Sokrath Sor; Vonthanak Saphonn; Konstantin Evdokimov
Journal:  BMJ Open       Date:  2019-11-21       Impact factor: 2.692

  5 in total

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