Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care.

Research overview

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ObjectivesFalls are a common problem in older people. Postural hypotension contributes to falls but is often asymptomatic. In the absence of symptoms, postural hypotension is only infrequently checked for in clinical practice. We undertook this study to derive, validate and explore the prospective associations of a prediction tool to identify people likely to have unrecognised postural hypotension.Design and settingCross-sectional and prospective multivariable cohort analysis.Participants1317 participants of the Invecchiare in Chianti study, a population-based cohort representative of the older Italian population.Primary outcome measuresPredictive value of score to suggest presence of postural hypotension.MethodsSubjects were randomised 1:1 to derivation or validation cohorts. Within the derivation cohort, univariable associations for candidate predictors of postural hypotension were tested. Variables with pResultsPostural hypotension was present in 203 (15.4%) of participants. Factors predicting postural hypotension were: digoxin use, Parkinson's disease, hypertension, stroke or cardiovascular disease and an interarm systolic blood pressure difference. Area under the curve was consistent at 0.65 for all models, with significant ORs of 1.8 to 2.4 per unit increase in score for predicting postural hypotension. For a DROP score ≥1, five cases need to be tested to identify one with postural hypotension.Increasing DROP scores predicted mortality (OR 1.8 to 2.8 per unit rise) and increasing rates of decline of Mini Mental State Examination score (analysis of variance pConclusionsThe DROP score provides a simple method to identify people likely to have postural hypotension and increased risks to health who require further evaluation.

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