Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Management Of Asymptomatic Hypertension In The Inpatient Setting., Charles Meadows, Mehiar Elhamdani, Dial Larry, Murad Kheetan, Khaled Al-Baqain
Management Of Asymptomatic Hypertension In The Inpatient Setting., Charles Meadows, Mehiar Elhamdani, Dial Larry, Murad Kheetan, Khaled Al-Baqain
Marshall Journal of Medicine
Hypertension is common in hospitalized patients and is most often asymptomatic. While there are no guidelines for management of such patients, aggressive blood pressure treatment, including the use of intravenous antihypertensives, is often undertaken. While evidence of benefit is lacking, emerging data suggest that treatment of asymptomatic hypertension in the inpatient setting is associated with adverse outcomes, including acute kidney injury and ischemic stroke. In addition, the intensification of a preexisting antihypertensive regimen at hospital discharge significantly increases the risk of readmission without significant improvement in outpatient hypertension control. Such a combination of a common problem with the demonstrable benefit …
Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro
Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro
Marshall Journal of Medicine
Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.
Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.
Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.
Results: We found that using clinical parameters available at entry into the …
Why Does Obesity Lead To Hypertension? Further Lessons From The Intersalt Study., Preeya T. Shah, Anna P. Shapiro, Zeid Khitan Md, Prasanna Santhanam Md, Joseph I. Shapiro Md
Why Does Obesity Lead To Hypertension? Further Lessons From The Intersalt Study., Preeya T. Shah, Anna P. Shapiro, Zeid Khitan Md, Prasanna Santhanam Md, Joseph I. Shapiro Md
Marshall Journal of Medicine
Objectives
To analyze correlations between major determinants of blood pressure (BP), in efforts to generate and compare predictive models that explain for variance in systolic, diastolic, and mean BP amongst participants of the Intersalt study.
Methods
Data from the Intersalt study, consisting of nearly 10,000 subjects from 32 different countries, were reviewed and analyzed. Published mean values of 24 hour urinary electrolyte excretion (Na+, K+), 24 hour urine creatinine excretion, body mass index (BMI, kg/m^2), and blood pressure data were extracted and imported into Matlab™ for stepwise linear regression analysis.
Results
As shown earlier, strong correlations between urinary sodium excretion …