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Biomedical subjects

C Levinton

Publications and source records attributed to C Levinton.

24 records · Page 2Linked to original sources

Response to initial therapy and new onset as predictors of prognosis in patients hospitalized with congestive heart failure.

Clinical predictors of in-hospital fatality were assessed in 191 persons admitted to the Yale-New Haven Hospital Intensive Care Unit with a diagnosis of congestive heart failure. In the 17 (8.9%) patients who died, the most important individual predictors among the presenting clinical features were absence of dyspnea, presence of anterior chest pain or jugulovenous distension, and cardiac severity due to ischemia, valvular disease, or arrhythmia. Two important predictors, largely neglected in previous literature, were a prior history of congestive heart failure and a poor clinical response after 24 h of therapy. Multivariable analysis led to the identification of 6 features (age greater than 70 y, prior history of congestive heart failure, jugulovenous distension, chest pain, cardiac severity, and poor early response to therapy) that could be combined into a simple clinical predictive index. The new index identified 5 prognostic groups with fatality rates of 0, 3.5, 7.4, 19.2, and 85.7 percent. An advantage of the clinical index is the identification of a subgroup of patients, with low risk for fatality, who may not need prolonged treatment in an intensive care unit.

Aged↗

Testing various methods of introducing health charts into medical records in family medicine units.

OBJECTIVE: To test three methods of introducing health charts into the medical records of six family medicine units. DESIGN: Quasi-experiment. PARTICIPANTS: The staff physicians and family medicine residents in all six units and the nurses in two units. INTERVENTIONS: Group 1 (minimal intervention): health charts, a user's guide and one training session. Group 2 (intermediate intervention): same intervention as for group 1 plus two feedback sessions at 3 and 6 months. Group 3 (maximum intervention): same intervention as for group 2 plus promotion of the team concept (nurses were included). The intervention phase lasted from September 1987 to August 1988. OUTCOME MEASURES: The frequency with which the health charts were used, the item scores of each preventive care activity and the overall unit scores. Data were gathered through chart audits at baseline and at the end of the intervention phase. RESULTS: The frequency with which the health charts were used varied from 3.9% to 26.9%. The greatest increases in item scores were observed in the use of mammography (20.0%), counselling on lifestyle (19.4%) and breast examination (17.2%). Although the overall improvement in the unit scores was statistically significant (p less than 0.05) the hypothesis of an increasing gradient of effect across the three intervention groups could not be tested because of the variation in scores across the units. CONCLUSION: Health charts and other similar tools are useful; however, they are not sufficient to change practice behaviours. The support of a "champion" on the health care team might well be a determining factor of success for the delivery of preventive services in primary care practice.

Adult↗

Modeling percentage change: a potential linear mirage.

The percentage change over time in a variable such as serum creatinine or blood pressure is a potentially appealing outcome measure for longitudinal studies of prognosis or therapy. We demonstrate that when the baseline value of the variable used in the calculation of the percentage change outcome is included in a linear regression model as an independent predictor, a quadratic relationship between the baseline level and the predicted outcome level of this same variable is inevitably masked by the linear regression model. Misinterpretation of the percentage change model has resulted in conflicting results regarding the value of serum creatinine as a prognostic marker in lupus nephritis. We illustrate the problem and resolve the conflict using data on 87 patients with lupus nephritis. A straightforward alternative approach to the use of percentage change as an outcome is proposed: it is not subject to the problems of interpretation noted in the percentage change model.

Blood Pressure↗

The clinical and renal biopsy predictors of long-term outcome in lupus nephritis: a study of 87 patients and review of the literature.

The prognostic markers in 87 consecutive patients with lupus nephritis who underwent renal biopsy are reported for five clinically relevant long-term outcomes--renal insufficiency, renal failure, death due to renal systemic lupus erythematosus, death due to non-renal SLE and death due to SLE, both renal and non-renal. We have demonstrated that a number of previously neglected or rarely studied predictors were important prognostic markers. These included the duration of renal disease before biopsy, overall severity of SLE, as well as the presence of vasculitis, hypertension or a comorbid ailment. Furthermore, the study confirms the predictive importance of serum creatinine, 24-h urinary excretion of protein, C3, and of the activity and chronicity indices on biopsy. However, overall a simple measure of tubulointerstitial disease was the best predictor obtained from biopsy. Prognostic models based on clinical data alone were developed for each of the five outcomes. The models amplify our clinical understanding of lupus nephritis. Markers of renal severity were most important in predicting renal outcomes such as renal insufficiency and renal failure. Prognostic factors less directly related to renal disease (comorbidity and vasculitis) were important predictors of fatality. A marker of immunologic disease activity (C3) was a valuable predictor for many of the outcomes. Thus markers of disease severity reflecting organ damage due to SLE and other comorbid conditions could be combined with markers of immunologic activity to predict a variety of outcomes of relevance to a clinician. When biopsy data obtained by light or electron microscopy were evaluated for their ability to add new predictive information to the clinical models, only a limited value for biopsy was noted. It is likely that this reflected the close correlational relationships between clinical and biopsy variables, the strong clinical models generated, and the inclusion in the clinical models of the previously neglected clinical variables, duration of renal disease before biopsy and the presence of vasculitis or comorbid disease.

Adolescent↗

Can computerized risk profiles help patients improve their coronary risk? The results of the Coronary Health Assessment Study (CHAS).

BACKGROUND: The Coronary Health Assessment Study (CHAS) was developed to determine the feasibility of using patient-specific, multifactorial computerized coronary risk profiles as a clinical decision aid to support primary prevention of CHD. METHODS: Study participants included 253 community based physicians, randomized into profile and control groups, and 958 of their patients. The profile group physicians received coronary risk profiles for their patients within 10 working days after the baseline patient assessment providing early feedback. The control group received their profiles only if the patient was clinically reevaluated during a 3-month follow-up visit. Patients' coronary risk factors were evaluated at baseline and at follow-up. RESULTS: The profile group had a significantly higher (P < 0.05) ratio of high-risk/low-risk patients who returned for a follow-up visit compared to the control group (1.23 vs 0.77). The patients in the profile group also had significantly (P < 0.05) greater mean reductions in total cholesterol (-0.5 vs -0.1 mmol/L), LDL cholesterol (-0.4 vs 0.0 mmol/L), the total cholesterol/ HDL ratio (-0.6 vs -0.2), and the predicted 8-year coronary risk (-1.8 vs -0.3%). CONCLUSIONS: Computer-generated coronary risk profiles can be effective in assisting physicians to identify high-risk patients. Their use is also associated with significantly greater improvements in the serum lipid profiles and the overall coronary risk of these patients.

Adult↗

Abnormal speech articulation, psychomotor retardation, and subcortical dysfunction in major depression.

Psychomotor retardation, characterized by changes in speech, motility and cognition, is common in major depression. It is also a cardinal feature of subcortical disorders such as Parkinson's disease (PD). Based on this observation and other data it has been hypothesized that the retardation of depression is related to mesolimbic-nigrostriatal dysfunction. To further test this hypothesis, speech articulation in major depression was compared to that in PD, where disordered articulation is related to bradykinesia and rigidity caused by striatal dopamine depletion. Thirty subjects with major depression were compared with 30 patients with PD and 31 normal controls on 3 acoustic measures of articulation. Major depression and PD groups had significantly shortened voice onset time and decreased second formant transition compared to controls, and major depression also had increased spirantization. There were no differences between the depression and PD groups on any of the acoustic measures. These findings provide indirect support for the hypothesis that nigrostriatal dysfunction is related to psychomotor slowing in major depression.

Adult↗