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Inst-Risk II: an approach to forecasting relative risk of future institutional placement.

This article describes a model development process that represents a useful step in classifying populations in terms of risk of institutionalization (Inst-Risk II). A four-category risk classification system--"High risk, Some risk, Low risk, and Very Low Risk"--was developed, based on combinations of measures of functional status, age, health status, demographics, and social supports. Our review of variables found by other researchers to be related to high risk of institutional placement, as well as our own research with Massachusetts elderly, confirmed functional impairment, diagnostic conditions, and advanced age to be major predictors of institutional placement. At the other extreme, Very Low risk status was indicated by combinations of functional independence, absence of health problems, and relatively younger age. Using baseline data of the kind that can be easily gathered and are often obtained in social agency screening interviews, our research indicates that this instrument differentiates among these risk status groups for two- to four-year periods.

Activities of Daily Living↗

Comparison of a Bayesian forecasting technique with a new method for estimating phenytoin dose requirements.

A simple, novel approach to phenytoin dose adjustment recently proposed by Wagner has been compared with an established Bayesian method. A data set comprising a minimum of two steady-state concentration/dose pairs from each of 43 adult epileptic patients was used. Prediction error analysis demonstrated that the two methods were equally precise but that the Wagner method tended to underpredict concentrations. The slope of the semilogarithmic relationship between concentration and dose was found to be 54% higher than originally reported by Wagner. It may therefore be necessary to adjust Wagner's equation for different patient populations before this method is used in routine clinical practice.

Adult↗

Chronobiology and viral diseases: a search for a probe which may assist in forecasting the onset of a disease and enhancing its treatment.

Aspects of Chronobiology related to the diseases of the eye and infectious diseases of the eye--particularly those that are caused by viral agents are viewed. The possible biological rhythmicity as a tool to predict the onset of these pathological conditions is discussed. The natural history of the diseases which are caused by various strains of Herpes point to the involvement of a strong and an influential endogenous biological rhythm. Based on these findings the benefits of application of chronobiological techniques to the study of these diseases is stressed.

Biological Clocks↗