1994
DOI: 10.1016/s0377-1237(17)31054-7
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Clinico-Epidemiological Algorithm for Predicting Systemic Arterial Hypertension at High Altitude Through Mathematical Modelling

Abstract: A population based hybrid design combining element ofcohort and cross-sectional approach was used to develop a simple clinical algorithm to predict individual probability of developing hypertension (systolic BP > 140 mm lis and lor diastolic BP > 90 mmHg). 3615 soldiel'5 initially normotensive at the time of induction into high altitude, were studied by systematic random sampling. Multiple logistic regression analysis showed a high significant association between hypertension and age, body mass index (BMI), to… Show more

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“…The mathematical model was "developed using statistical procedures which have already been validated in a large scale study in Armed Forces [2]. The outcome variable was kept on a binary dichotomous variable (documents returned/not returned).…”
Section: Methodsmentioning
confidence: 99%
“…The mathematical model was "developed using statistical procedures which have already been validated in a large scale study in Armed Forces [2]. The outcome variable was kept on a binary dichotomous variable (documents returned/not returned).…”
Section: Methodsmentioning
confidence: 99%
“…The authors' contention that "The mathematical model was developed using statistical procedures which have already been validated in a large scale study in Armed Forces", has to be accepted with caution because the basis used to develop a model validated under one set of conditions may not be valid under another set of conditions. In fact the authors have quoted a model used to predict hypertension at high altitude which has no relation whatsoever to fatal case documents [2].…”
mentioning
confidence: 99%
“…In fact the authors have quoted a model used to predict hypertension at high altitude which has no relation whatsoever to fatal case documents [2].…”
mentioning
confidence: 99%