Pub Date : 2018-03-01DOI: 10.1097/POC.0000000000000156
J. Hartmann, D. Mason, Hardean E. Achneck
Abstract Thromboelastography is a method of assessing the coagulation status of patients. Unlike standard laboratory–based coagulation tests (eg, prothrombin time and activated partial thromboplastin time), it provides a holistic, functional perspective on the entire coagulation process; and point-of-care application provides results more quickly. Across a wide range of clinical settings, thromboelastography can be used to assess the risk of bleeding or thromboembolic events and to guide management of hemostatic equilibrium. Until recently, the principal system for performing thromboelastography was the TEG 5000 analyzer. The TEG 6s system, which consists of the TEG 6s analyzer and disposable cartridges, measures the same properties as the TEG 5000 and was recently developed to increase the ease and precision with which thromboelastography is performed. By measuring the velocity of clot formation, the strength of the clot, contributions of fibrinogen and platelets to clot strength, and the speed/extent of fibrinolysis, a comprehensive insight into the patient's coagulation status is gained. Treatment can then be individualized to ensure effective coagulation management while avoiding exposure to unnecessary treatment. Subsequently, the effect of treatment can be assessed to determine whether further intervention may be required. We review the clinical use of thromboelastography in trauma, cardiovascular surgery, liver transplantation, obstetrics, congenital bleeding disorders, and other settings. Increased uptake of thromboelastography has the potential to improve standards of patient care and to lead to health economic benefits.
{"title":"Thromboelastography (TEG) Point-of-Care Diagnostic for Hemostasis Management","authors":"J. Hartmann, D. Mason, Hardean E. Achneck","doi":"10.1097/POC.0000000000000156","DOIUrl":"https://doi.org/10.1097/POC.0000000000000156","url":null,"abstract":"Abstract Thromboelastography is a method of assessing the coagulation status of patients. Unlike standard laboratory–based coagulation tests (eg, prothrombin time and activated partial thromboplastin time), it provides a holistic, functional perspective on the entire coagulation process; and point-of-care application provides results more quickly. Across a wide range of clinical settings, thromboelastography can be used to assess the risk of bleeding or thromboembolic events and to guide management of hemostatic equilibrium. Until recently, the principal system for performing thromboelastography was the TEG 5000 analyzer. The TEG 6s system, which consists of the TEG 6s analyzer and disposable cartridges, measures the same properties as the TEG 5000 and was recently developed to increase the ease and precision with which thromboelastography is performed. By measuring the velocity of clot formation, the strength of the clot, contributions of fibrinogen and platelets to clot strength, and the speed/extent of fibrinolysis, a comprehensive insight into the patient's coagulation status is gained. Treatment can then be individualized to ensure effective coagulation management while avoiding exposure to unnecessary treatment. Subsequently, the effect of treatment can be assessed to determine whether further intervention may be required. We review the clinical use of thromboelastography in trauma, cardiovascular surgery, liver transplantation, obstetrics, congenital bleeding disorders, and other settings. Increased uptake of thromboelastography has the potential to improve standards of patient care and to lead to health economic benefits.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"37 6 1","pages":"15–22"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80896047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1097/POC.0000000000000155
S. Vandamme, Kore Van Mechelen, Hugo Cluckers, V. Van Hoof
E ach year in Belgium, 2000 patients are newly diagnosed with type 1 diabetes mellitus (DM) and 23,500 patients with type 2 DM. Diabetic ketoacidosis (DKA) is a severe acute complication of DM, with a prevalence around 30% in type 1 DM and 6% in type 2 DM. Guidelines advocate whole-blood measurement of beta-hydroxybutyrate (βHB) for the management of DKA, making point-of-care testing (POCT) devices for glucose and ketones an important and lifesaving tool. At the request of our emergency department (ED), the POCT hospital meter StatStrip (Nova Biomedical, Waltham, Mass) was installed on trial.
{"title":"Validation of the Nova Point-of-Care Testing StatStrip &bgr;-Ketone Test in a Laboratory and Clinical Setting","authors":"S. Vandamme, Kore Van Mechelen, Hugo Cluckers, V. Van Hoof","doi":"10.1097/POC.0000000000000155","DOIUrl":"https://doi.org/10.1097/POC.0000000000000155","url":null,"abstract":"E ach year in Belgium, 2000 patients are newly diagnosed with type 1 diabetes mellitus (DM) and 23,500 patients with type 2 DM. Diabetic ketoacidosis (DKA) is a severe acute complication of DM, with a prevalence around 30% in type 1 DM and 6% in type 2 DM. Guidelines advocate whole-blood measurement of beta-hydroxybutyrate (βHB) for the management of DKA, making point-of-care testing (POCT) devices for glucose and ketones an important and lifesaving tool. At the request of our emergency department (ED), the POCT hospital meter StatStrip (Nova Biomedical, Waltham, Mass) was installed on trial.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"49 2","pages":"13–14"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72572251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1097/POC.0000000000000154
V. Olagundoye, S. Ijaz
F etal lactate measurement in labor has been shown to be as effective as pH in the assessment and identification of fetal hypoxia. Fetal lactate is widely used in northern Europe, New Zealand, and United States to assess fetal acidemia. It has been endorsed by theNational Institute for Health and Care Excellence since December 2014. StatStrip Lactate is a rapid handheld point of care (POC) meter for the measurement of whole blood lactate level providing results within 13 seconds of testing thus enabling early identification of hyperlactatemia and babies at risk of hypoxia. Our study was carried out at City Hospital, Birmingham UK, a busy district general hospital.
{"title":"The Effectiveness of Fetal Lactate Measurement in the Assessment of Fetal Acidemia Using StatStrip Lactate Meter","authors":"V. Olagundoye, S. Ijaz","doi":"10.1097/POC.0000000000000154","DOIUrl":"https://doi.org/10.1097/POC.0000000000000154","url":null,"abstract":"F etal lactate measurement in labor has been shown to be as effective as pH in the assessment and identification of fetal hypoxia. Fetal lactate is widely used in northern Europe, New Zealand, and United States to assess fetal acidemia. It has been endorsed by theNational Institute for Health and Care Excellence since December 2014. StatStrip Lactate is a rapid handheld point of care (POC) meter for the measurement of whole blood lactate level providing results within 13 seconds of testing thus enabling early identification of hyperlactatemia and babies at risk of hypoxia. Our study was carried out at City Hospital, Birmingham UK, a busy district general hospital.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"9 1","pages":"11–12"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80232217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-01DOI: 10.1097/POC.0000000000000158
{"title":"Point-of-Care Abstracts From the 2017 American Association for Clinical Chemistry Meeting (Reprinted with permission)","authors":"","doi":"10.1097/POC.0000000000000158","DOIUrl":"https://doi.org/10.1097/POC.0000000000000158","url":null,"abstract":"","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"519 1","pages":"23–45"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77180330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1097/POC.0000000000000148
F. J. Lirón-Hernández, Paloma Oliver-Sáez, Catalina Sánchez-Mora, O. Rodríguez-Fraga
Abstract The use of point-of-care testing (POCT) technology has increased every year worldwide. In Spain, there are no data about how these tests are used and where they are performed, and there is no clear vision of what is the role of laboratory regarding these tests. The POCT Committee, in the Spanish Society of Clinical Biochemistry, carried out a survey in order to find out what the situation is with POCT in the country from a laboratory POCT manager's point of view. The survey had 19 questions: 3 for segmentation, 1 for opinion, 13 to obtain specific information about POCT in their hospitals, and 2 about personal information. To enable a response, a survey link was shared in the Spanish Society of Clinical Biochemistry Web page. Responses were obtained via Google Docs Web page, where coworkers were requested to fill in the survey. The survey was answered by 140 laboratories, but only 126 of the responses were considered valid. The survey results generally showed that the situation in Spain is similar to that in other countries as documented by similar national surveys on POCT. The survey also demonstrated room for improvement in POCT practices and a need for governmental regulation to improve POCT processes.
{"title":"A First Impression of Point-of-Care Testing in Spain: Spanish Society of Clinical Biochemistry Survey Results","authors":"F. J. Lirón-Hernández, Paloma Oliver-Sáez, Catalina Sánchez-Mora, O. Rodríguez-Fraga","doi":"10.1097/POC.0000000000000148","DOIUrl":"https://doi.org/10.1097/POC.0000000000000148","url":null,"abstract":"Abstract The use of point-of-care testing (POCT) technology has increased every year worldwide. In Spain, there are no data about how these tests are used and where they are performed, and there is no clear vision of what is the role of laboratory regarding these tests. The POCT Committee, in the Spanish Society of Clinical Biochemistry, carried out a survey in order to find out what the situation is with POCT in the country from a laboratory POCT manager's point of view. The survey had 19 questions: 3 for segmentation, 1 for opinion, 13 to obtain specific information about POCT in their hospitals, and 2 about personal information. To enable a response, a survey link was shared in the Spanish Society of Clinical Biochemistry Web page. Responses were obtained via Google Docs Web page, where coworkers were requested to fill in the survey. The survey was answered by 140 laboratories, but only 126 of the responses were considered valid. The survey results generally showed that the situation in Spain is similar to that in other countries as documented by similar national surveys on POCT. The survey also demonstrated room for improvement in POCT practices and a need for governmental regulation to improve POCT processes.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"10 1","pages":"151–160"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80449117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1097/POC.0000000000000149
James R. Taylor, C. Richter, Chris Lindamood, Xinyu Liu, M. Zumberg, Brad Fletcher
Abstract The CoaguChek XS meter is an international normalized ratio (INR) point-of-care (POC) monitor that has been shown to provide clinically acceptable accuracy. Because of a potential interaction between antiphospholipid antibodies and the reagent used in the prothrombin time INR assay, there is uncertainty as to the reliability of using POC INR monitors in patients with antiphospholipid syndrome (APLS). The study population consisted of 41 patients on warfarin therapy for either APLS (treatment group) or any other indication (control group). All patients had their INR analyzed by the CoaguChek XS meter and a central laboratory. Overall, the mean INR difference between the CoaguChek XS and laboratory in the APLS patients was 0.6772 (P < 0.0001). In APLS patients, when the laboratory INR was less than 2.0, 2.0 to 3.0, 3.1 to 4.0, or greater than 4.0, the CoaguChek XS differed by averages of 0.0636 (P = 0.4111), 0.6903 (P < 0.0001), 1.1417 (P < 0.0001), and 0.9333 (P = 0.0848), respectively. In the control group the overall mean difference was 0.5456 (P < 0.0001). For laboratory INR values of less than 2.0, 2.0 to 3.0, 3.1 to 4.0, and greater than 4.0, the mean differences from the CoaguChek XS were 0.3000 (P = 0.0003), 0.4444 (P < 0.0001), 1.0444 (P = 0.0002), and 1.3500 (P = 0.0236). Our data do support the manufacturer recommendation of comparing laboratory and CoaguChek XS meter INRs in APLS patients because in a subset of patients the 2 methods produced acceptable results, and POC monitoring might be used.
{"title":"Accuracy of CoaguChek XS in Patients With Antiphospholipid Syndrome","authors":"James R. Taylor, C. Richter, Chris Lindamood, Xinyu Liu, M. Zumberg, Brad Fletcher","doi":"10.1097/POC.0000000000000149","DOIUrl":"https://doi.org/10.1097/POC.0000000000000149","url":null,"abstract":"Abstract The CoaguChek XS meter is an international normalized ratio (INR) point-of-care (POC) monitor that has been shown to provide clinically acceptable accuracy. Because of a potential interaction between antiphospholipid antibodies and the reagent used in the prothrombin time INR assay, there is uncertainty as to the reliability of using POC INR monitors in patients with antiphospholipid syndrome (APLS). The study population consisted of 41 patients on warfarin therapy for either APLS (treatment group) or any other indication (control group). All patients had their INR analyzed by the CoaguChek XS meter and a central laboratory. Overall, the mean INR difference between the CoaguChek XS and laboratory in the APLS patients was 0.6772 (P < 0.0001). In APLS patients, when the laboratory INR was less than 2.0, 2.0 to 3.0, 3.1 to 4.0, or greater than 4.0, the CoaguChek XS differed by averages of 0.0636 (P = 0.4111), 0.6903 (P < 0.0001), 1.1417 (P < 0.0001), and 0.9333 (P = 0.0848), respectively. In the control group the overall mean difference was 0.5456 (P < 0.0001). For laboratory INR values of less than 2.0, 2.0 to 3.0, 3.1 to 4.0, and greater than 4.0, the mean differences from the CoaguChek XS were 0.3000 (P = 0.0003), 0.4444 (P < 0.0001), 1.0444 (P = 0.0002), and 1.3500 (P = 0.0236). Our data do support the manufacturer recommendation of comparing laboratory and CoaguChek XS meter INRs in APLS patients because in a subset of patients the 2 methods produced acceptable results, and POC monitoring might be used.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"16 1","pages":"161–163"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78869704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1097/POC.0000000000000152
I. Nnakenyi, C. Onyenekwu, L. Imoh, N. Ntuen, I. Mohammed, C. Nlemadim
Introduction The need for timely patient management has led to the proliferation of point-of-care testing (POCT) within health care facilities. However, POCT is often implemented without supervision by laboratory personnel, which raises concern about the quality of its results. The aim of this study was to determine the quality management practices for POCT in several Nigerian tertiary hospitals. Materials and Method This was a descriptive study of 61 POCT sites at 5 tertiary hospitals across Nigeria. Research laboratories and self-monitoring POCT were excluded. Data were collected using interviewer-administered questionnaires, as well as visual inspection of records and facilities. Results were presented as counts and percentages. Results The predominant POCT was the glucometer (65%). Cost of testing was majorly 0 to 500 naira (<2 US dollars; 78%). Point-of-care testing sites were majorly operated by physicians 40%, and only 26% of the sites had documentation of training on the POCT before use. Method validation was not performed in 81% of the sites. Internal quality control and external quality assessment were performed at 26% and 10% of the sites, respectively. There was no traceability of results on the device to the patients tested at 78% of the sites. Troubleshooting a faulty device was performed by nonlaboratorians at 77% of the sites. Most sites did not involve the laboratory in device procurement (74%), validation (77%), maintenance (78%), troubleshooting (64%), or monitoring the accuracy of the results (74%). None of the hospitals had a POCT committee. Discussion The practice of quality management for POCT in tertiary hospitals was poor because of inadequately trained operators and noninvolvement of the laboratory. Laboratory staff should provide guidance and a framework for POCT implementation to ensure quality results and patient safety.
{"title":"A Multicenter Evaluation of the Quality Management Practices for Point-of-Care Testing in Nigeria","authors":"I. Nnakenyi, C. Onyenekwu, L. Imoh, N. Ntuen, I. Mohammed, C. Nlemadim","doi":"10.1097/POC.0000000000000152","DOIUrl":"https://doi.org/10.1097/POC.0000000000000152","url":null,"abstract":"Introduction The need for timely patient management has led to the proliferation of point-of-care testing (POCT) within health care facilities. However, POCT is often implemented without supervision by laboratory personnel, which raises concern about the quality of its results. The aim of this study was to determine the quality management practices for POCT in several Nigerian tertiary hospitals. Materials and Method This was a descriptive study of 61 POCT sites at 5 tertiary hospitals across Nigeria. Research laboratories and self-monitoring POCT were excluded. Data were collected using interviewer-administered questionnaires, as well as visual inspection of records and facilities. Results were presented as counts and percentages. Results The predominant POCT was the glucometer (65%). Cost of testing was majorly 0 to 500 naira (<2 US dollars; 78%). Point-of-care testing sites were majorly operated by physicians 40%, and only 26% of the sites had documentation of training on the POCT before use. Method validation was not performed in 81% of the sites. Internal quality control and external quality assessment were performed at 26% and 10% of the sites, respectively. There was no traceability of results on the device to the patients tested at 78% of the sites. Troubleshooting a faulty device was performed by nonlaboratorians at 77% of the sites. Most sites did not involve the laboratory in device procurement (74%), validation (77%), maintenance (78%), troubleshooting (64%), or monitoring the accuracy of the results (74%). None of the hospitals had a POCT committee. Discussion The practice of quality management for POCT in tertiary hospitals was poor because of inadequately trained operators and noninvolvement of the laboratory. Laboratory staff should provide guidance and a framework for POCT implementation to ensure quality results and patient safety.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"28 1","pages":"173–176"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81874057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1097/POC.0000000000000150
Vandana Kumavat, M. Rojekar, Jayesh Panot, Arati Adhe-Rojekar
Abstract Glucose meters are excellent tools for self-monitoring of blood glucose especially in the circumstances where continuous monitoring is mandatory and at decision-making levels. Tight glycemic control protocols are important for preventing ill effects of fluctuating glucose levels. As technology advances, glucometers are getting better in terms of quality of results. The purpose here is to study the quality of glucose meter results in terms of clinical outcomes. The study was conducted in a tertiary care referral hospital. A total of 125 patients were recruited from pediatric wards. Bland-Altman plot, Parke error grid, and surveillance error grid analysis were used for comparing the results of the glucose meters with a standard laboratory method. It was found that there was a significant difference between the results of the 2 methods. Although usually minimal, the glucose meter results deviated from the results of the standard laboratory method. This will affect overall patient care especially in emergency conditions. Sometimes, the risk may be so high that the patient may be mislabeled as hypoglycemic when they actually are hyperglycemic and vice versa. This study is the first of its kind because no similar studies have been reported in the pediatric population. For effective use of glucose meters, the devices should give as accurate results as possible. Results should not only be accurate but also precise, without which critical errors may be possible. We recommend that for any glucose meter there should be regular calibration so that agreement with the reference laboratory method is maintained and effective medical decisions are possible.
{"title":"A Novel Approach to Assess Performance of Glucometer: Error Grid Analysis","authors":"Vandana Kumavat, M. Rojekar, Jayesh Panot, Arati Adhe-Rojekar","doi":"10.1097/POC.0000000000000150","DOIUrl":"https://doi.org/10.1097/POC.0000000000000150","url":null,"abstract":"Abstract Glucose meters are excellent tools for self-monitoring of blood glucose especially in the circumstances where continuous monitoring is mandatory and at decision-making levels. Tight glycemic control protocols are important for preventing ill effects of fluctuating glucose levels. As technology advances, glucometers are getting better in terms of quality of results. The purpose here is to study the quality of glucose meter results in terms of clinical outcomes. The study was conducted in a tertiary care referral hospital. A total of 125 patients were recruited from pediatric wards. Bland-Altman plot, Parke error grid, and surveillance error grid analysis were used for comparing the results of the glucose meters with a standard laboratory method. It was found that there was a significant difference between the results of the 2 methods. Although usually minimal, the glucose meter results deviated from the results of the standard laboratory method. This will affect overall patient care especially in emergency conditions. Sometimes, the risk may be so high that the patient may be mislabeled as hypoglycemic when they actually are hyperglycemic and vice versa. This study is the first of its kind because no similar studies have been reported in the pediatric population. For effective use of glucose meters, the devices should give as accurate results as possible. Results should not only be accurate but also precise, without which critical errors may be possible. We recommend that for any glucose meter there should be regular calibration so that agreement with the reference laboratory method is maintained and effective medical decisions are possible.","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"8 1","pages":"164–167"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88271295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1097/POC.0000000000000146
L. Baudhuin
{"title":"Direct-to-Consumer Genetic Testing in the Personalized Medicine Era","authors":"L. Baudhuin","doi":"10.1097/POC.0000000000000146","DOIUrl":"https://doi.org/10.1097/POC.0000000000000146","url":null,"abstract":"","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"26 1","pages":"120-123"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74682546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1097/POC.0000000000000137
N. Tolan
Abstract 2016 CPOCT International Symposium Review. This is an invited submission for the March issue covering the 2016 CPOCT International Symposium. Session 2: Direct to Consumer Testing—the New Face of Point-of-Care?
{"title":"Direct-to-Consumer Testing: A New Paradigm for Point-of-Care Testing","authors":"N. Tolan","doi":"10.1097/POC.0000000000000137","DOIUrl":"https://doi.org/10.1097/POC.0000000000000137","url":null,"abstract":"Abstract 2016 CPOCT International Symposium Review. This is an invited submission for the March issue covering the 2016 CPOCT International Symposium. Session 2: Direct to Consumer Testing—the New Face of Point-of-Care?","PeriodicalId":20262,"journal":{"name":"Point of Care: The Journal of Near-Patient Testing & Technology","volume":"26 1","pages":"108–111"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81614820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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