ABSTRACT
Background: Metabolic syndrome (MS) predisposes to left ventricular dysfunction and heart failure, however, alterations in left atrial (LA) function in MS are unknown. Objectives: We aimed to use strain/strain rate (SR) imaging to investigate the effect of MS on LA function. Subjects and Methods: This prospective case control study included a total of 100 subjects divided in to 75 metabolic syndrome (MS) patients referred to Al-Azhar university hospital outpatient clinic for evaluation and treatment of hypertension and/or diabetes mellitus and 25 age and sex matched apparently healthy volunteers as a control group. All subjects underwent conventional echocardiographic examination and assessment of LA function by speckle tracking. Partial correlation and multiple stepwise regression analyses were used to determine the risk factors for impaired LA function. Results: Compared with the controls, the MS patients showed significantly lower levels of mean strain, mean peak systolic SR and mean peak early diastolic SR (P<0.05 for all), with no difference in the mean peak late diastolic SR. Central obesity, hypertension, dyslipidemia and uncontrolled diabetes were independent risk factors for impaired LA function. Conclusion: SR imaging is reliable in assessing LA function in MS patients
Subject(s)
Atrial Function, Left , Case-Control Studies , Echocardiography , Egypt , Metabolic Syndrome/physiopathologyABSTRACT
Errors in medicine result in over 44,000 preventable deaths annually. Some of these errors are made by specialized physicians at the time of diagnosis. Building on error frameworks proposed in the literature, we tested the experimental hypothesis that physicians within a given specialty have a bias in diagnosing cases outside their own domain as being within that domain. Thirty-two board-certified physicians from four internal medicine subspecialties worked four patient cases each. Verbal protocol analysis and general linear modeling of the numerical data seem to confirm the experimental hypothesis, indicating that specialists try to "pull" cases toward their specialty. Specialists generate more diagnostic hypotheses within their domain than outside, and assign higher probabilities to diagnoses within that domain.
Subject(s)
Decision Making , Decision Support Techniques , Diagnostic Errors/prevention & control , Diagnostic Errors/statistics & numerical data , Diagnostic Techniques and Procedures/statistics & numerical data , Internal Medicine/statistics & numerical data , Observer Variation , Professional Competence/statistics & numerical data , Diagnosis, Differential , Diagnostic Errors/psychology , Medical Errors , Medicine/statistics & numerical data , Models, Statistical , Physicians , Reproducibility of Results , Sensitivity and Specificity , SpecializationABSTRACT
Creating an integration-friendly infrastructure is the best way to prepare for current as well as next-generation POC devices. Fortunately, hassle-free system integration is needed throughout healthcare today for reasons beyond the domain of POC devices, so integration progress already made in other areas helps pave the way for POC devices. Healthcare IT professionals, as much or more than any other IT group, have had to deal with the challenges of integrating disparate systems. When considering deployment of POC devices, you will want to make sure they adhere to open industry standards. In this way, these important devices won't add to the problem of disparate systems, but will contribute to the solution. We see XML and Web services as being especially important to the future of healthcare delivery and administration. XML and Web services, along with powerful orchestrators, can provide an ever-richer collection of clinical data to be delivered to, and received from, the POC devices that will become an ever more important addition to the physician armamentarium.
