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Biomedical subjects

M Tovar

Publications and source records attributed to M Tovar.

At least 19 recordsLinked to original sources
PubMed2002

Risk factors for burns in children: crowding, poverty, and poor maternal education.

OBJECTIVE: To characterize the presentation of burns in children and risk factors associated with their occurrence in a developing country as a basis for future prevention programs. DESIGN: Case-control study. SETTING: Burn unit of the National Institute of Child Health (Instituto Nacional de Salud del Niño) in Lima, Peru. METHODS: A questionnaire was administered to all consenting guardians of children admitted to the burns (cases) and general medicine (controls) units during a period of 14 months. Guardians of patients were questioned regarding etiology of the injury, demographic and socioeconomic data. RESULTS: 740 cases and controls were enrolled. Altogether 77.5% of the cases burns occurred in the patient's home, with 67.8% in the kitchen; 74% were due to scalding. Most involved children younger than 5 years. Lack of water supply (odds ratio (OR) 5.2, 95% confidence interval (CI) 2.1 to 1 2.3), low income (OR 2.8, 95% CI 2.0 to 3.9), and crowding (OR 2.5, 95%CI 1.7 to 3.6) were associated with an increased risk. The presence of a living room (OR 0.6, 95% CI 0.4 to 0.8) and better maternal education (OR 0.6, 95% CI 0.5 to 0.9) were protective factors. CONCLUSIONS: To prevent burns interventions should be directed to low socioeconomic status groups; these interventions should be designed accordingly to local risk factors.

Adolescent↗
PubMed1993

Automated linkage of free-text descriptions of patients with a practice guideline.

The process of applying a practice guideline to a patient requires a great deal of clinical data. AAPT (Appropriateness-Assessment Processing from Text) is an experimental computer program that can assess the appropriateness of coronary-artery bypass grafting surgery (CABG) in patients with coronary-artery disease (CAD) and chronic stable angina from the admission summaries of those patients. The AAPT architecture combines natural-language processing (NLP) and probabilistic inference. The NLP module identifies single clinical concepts of interest in the free-text document. The probabilistic inference module, a Bayesian belief network, estimates values for variables not specifically mentioned. AAPT produces a patient's summary of CAD that is similar to a manually generated clinical summary. Work is ongoing to improve AAPT and evaluate it as a tool to assist in the dissemination of guidelines and as a tool to encourage adherence to practice guidelines.

Angina Pectoris↗
PubMed1991

Enterobacter cloacae bacteremia in children: a review of 30 cases in 12 years.

A review was performed of the 30 cases of pediatric Enterobacter cloacae (EBC) bacteremia which occurred at our institution during a 12-year period. These 30 cases represented 88% of all cases in which EBC was isolated by blood culture (four other instances were considered contaminants); the rate of isolation of this organism relative to all positive blood cultures was 0.6%. There were 14 patients less than 12 months of age, with 10 less than 2 months of age. Infection was nosocomially-acquired in 17 cases. At the time the positive blood culture was obtained, 5 patients were afebrile, and 8 patients (five immunocompromised) had been receiving parenteral antibiotic therapy to which the organism exhibited in-vitro sensitivity for at least 24 hours. EBC was a constituent of polymicrobial bacteremia in 6 cases; in 5 instances the associated organisms were also gram-negative bacteria. There were a total of 33 underlying medical conditions or foci of infection associated with EBC bacteremia identified in 27 patients, the most common of which were immune-deficiency state (17) and gastrointestinal tract lesions (6). There were 3 patients who died. EBC bacteremia is a relatively rare pediatric infection. It is commonly nosocomially-acquired, and afflicts children who are younger-aged or compromised by underlying medical problems.

Anti-Bacterial Agents↗
PubMed1991

VentPlan: a ventilator-management advisor.

VentPlan assists physicians, nurses, and respiratory therapists in the management of artificial respiration for critically ill patients in the intensive-care unit (ICU). VentPlan interprets clinical observations, monitored data, and arterial-blood-gas analyses to make recommendations for setting the ventilator. The VentPlan interface allows users to examine the physiologic model, to inspect details of the data on which the model is based, and to exercise the model to try out different ventilator settings before they implement a new setting. We also report here a preliminary evaluation of VentPlan's ability to predict the arterial oxygen and carbon-dioxide tensions following adjustments to the ventilator. We conclude that VentPlan's physiologic models are acceptably accurate for predicting the effects of small adjustments of the ventilator.

Critical Care↗