Alberto Lifshitz

Promoting networks between evidence-based medicine and values-based medicine in continuing medical education

BackgroundIn recent years, medical practice has followed two different paradigms: evidence-based medicine (EBM) and values-based medicine (VBM). There is an urgent need to promote medical education that strengthens the relationship between these two paradigms. This work is designed to establish the foundations for a continuing medical education (CME) program aimed at encouraging the dialogue between EBM and VBM by determining the values relevant to everyday medical activities.MethodsA quasi-experimental, observational, comparative, prospective and qualitative study was conducted by analyzing through a concurrent triangulation strategy the correlation between healthcare personnel-patient relationship, healthcare personnels life history, and ethical judgments regarding dilemmas that arise in daily clinical practice.In 2009, healthcare personnel working in Mexico were invited to participate in a free, online clinical ethics course. Each participant responded to a set of online survey instruments before and after the CME program. Face-to-face semi-structured interviews were conducted with healthcare personnel, focusing on their views and representations of clinical practice.ResultsThe healthcare personnels core values were honesty and respect. There were significant differences in the clinical practice axiology before and after the course (P <0.001); notably, autonomy climbed from the 10th (order mean (OM) = 8.00) to the 3rd position (OM = 5.86). In ethical discernment, the CME program had an impact on autonomy (P ≤0.0001). Utilitarian autonomy was reinforced in the participants (P ≤0.0001). Regarding work values, significant differences due to the CME intervention were found in openness to change (OC) (P <0.000), self-transcendence (ST) (P <0.001), and self-enhancement (SE) (P <0.019). Predominant values in life history, ethical discernment and healthcare personnel-patient relation were beneficence, respect and compassion, respectively.ConclusionsThe healthcare personnel participating in a CME intervention in clinical ethics improved high-order values: Openness to change (OC) and Self Transcendence (ST), which are essential to fulfilling the healing ends of medicine. The CME intervention strengthened the role of educators and advisors with respect to healthcare personnel. The ethical values developed by healthcare professionals arise from their life history and their professional formation.

Relationship of Insulin Resistance and Overweight with Cortisol and Dehydroepiandrosterone-Sulfate Levels

BACKGROUND Our objective was to assess the relationship of hormones such as cortisol and dehydroepiandrosterone-sulfate (DHEA-S) with insulin resistance and overweight. METHODS We designed and conducted a cross-sectional, observational survey consisting of home visits within a previously defined area of Mexico City. The study included 303 apparently healthy volunteers from a middle-class socioeconomic urban community. We measured glucose, cholesterol, triglycerides, insulin, cortisol, and DHEA-S. Insulin resistance (IR) was defined as belonging to the first quartile of fasting glucose/insulin ratio (G/IR) distribution or fourth quartile of IR (HOMA). Overweight was defined as body mass index (BMI) > or =25 kg/m(2). RESULTS To predict IR in women < or =35 years of age, principal component analysis (PCA) disclosed three components: 1) cholesterol, BMI, and diastolic blood pressure (DBP); 2) cholesterol, triglycerides, and cortisol, and 3) dehydroepiandrosterone-sulfate [DHEA-S]. Solely the latter (DHEA-S) was significantly associated with IR (odds ratio [OR] = 1.80, confidence interval 95% [CI 95%] 1.11-2.91, p = 0.015). For men < or =35 years of age, there were two components: 1) cholesterol, triglycerides, BMI, and DBP, and 2) DHEA-S, cholesterol, and cortisol. Component 1 was significantly associated with IR (OR = 5.65; CI 95% 1.62-19.65, p = 0.006). To predict overweight in women >35 years of age, there were three components, including 1) cholesterol and triglycerides, 2) cortisol, and 3) DHEA-S and G/IR. Component 2 was significantly associated with overweight (OR = 0.38, CI 95% 0.23-0.64, p = 0.000). CONCLUSIONS In women < or =35 years of age, high DHEA-S levels were associated with insulin resistance, which suggests that in young women DHEA-S exerts anti-estrogenic action, perhaps caused by its competitive binding with the estrogen receptor. Additionally, in women >35 years of age, low cortisol levels were associated with overweight. These associations were not identified for the male subgroup.

A Rating System for Prompt Clinical Diagnosis of Ischemic Stroke

BACKGROUND When a CT scan is not available, an early accurate clinical diagnosis of ischemic stroke is essential to initiate prompt therapy. Our objective was to construct a clinical index that is easy to use when stroke patients are first evaluated at the hospital, to identify those who probably are experiencing an acute ischemic episode. The study was conducted at a university-affiliated medical referral center and two community general hospitals in Mexico. METHODS Clinical records were reviewed for 801 patients with sudden onset of a focal or global neurologic dysfunction, presumably of vascular origin lasting more than 24 h. Eligibility criteria for this study were admission to the hospital within the first 24 h after symptomatic onset, CT scan diagnosis between 24 and 72 h, and age >45 years. Ischemic stroke included cases of arterial brain infarction, while nonischemic stroke included subarachnoid or intraparenchymatous hemorrhage, mass lesion, venous infarction, and in cases without a CT scan evidence that could explain the clinical manifestations. Data excerpted for analysis were age, sex, history of diabetes mellitus or previous stroke/transient ischemic attack (TIA), time of onset of symptoms, presence of headache, vomiting, neck stiffness, hemiplegia, leukocytosis or atrial fibrillation, diastolic blood pressure, and Glasgow coma scale (GCS) rating. Two multivariable analyses were used: 1) step-wise multiple logistic regression (SMLR), and 2) conjunctive consolidation (CC). RESULTS After appropriate exclusions, the study proceeded with 83 ischemic and 42 nonischemic stroke patients. With SMLR, six variables were selected as predictive for ischemic stroke, including neck stiffness, diastolic blood pressure, previous history of stroke/TIA, hemiplegia, GCS, and atrial fibrillation. An appropriate sum of weighted ratings had a positive predictive value (PPV) of 100% for ischemic stroke. With consolidated categories, the PPV was 97% when patients had the following: no neck stiffness; no atrial fibrillation but history of stroke/TIA and GCS > or =12, or no neck stiffness but atrial fibrillation. CONCLUSIONS Among patients with acute stroke, clinical data can be used to identify a group with a high probability of ischemic stroke. There are slightly different results between both methods; while SMLR includes the four variables selected by CC, the latter included neither diastolic blood pressure nor hemiplegia/hemiparesia. However, CC results seem easier to understand and interpret than with SMLR.